Yes, Sir. Yes, Sir. Shall we proceed?

Alright, sounds like you're ready. Let's start with your recent research—can you walk me through one project where you combined mechatronics with smart manufacturing, and explain the problem you were solving?

And basically my. It's basically dealing with the. Image processing technique. I'm using here. Python. To decode the flame characteristics. The image diagnostic. Method is adopted here. To study or investigate. Flying characteristics. Such as burning velocity. Burning behavior. And and my intention, my focus of the study is to. Control the. Uh, burning, uh. Related to. Safety. Combustion safety.

So you're using Python for image diagnostics to analyze flame characteristics—things like burning velocity and combustion safety. How did you actually translate those image features into quantitative safety decisions in your system?

That was my. Work array done and I have. Here I'm using some. Uh, flame. Characteristics such as the global stretch flame characteristics. Against the UCL, the master number. Some non dimensional numbers are used here. Suggest master number. Pavlovich number. Muscle number is defined as the behavior of burning with respect to stretching. The propagation. Green flame propagation. Whether it is accidental explosion? A stable flame. The flame, uh, behavior. He ever tends to change. With respect to stretching. And it is characterized by master number. Not dimensionally. And Carlos number. Is defined as the non dimensions. Struts with flame characteristics.

Okay,

So this. Stretching. Is non dimensionally characterized by. The caravans number. Yes, yes.

Right, you're emphasizing how the Karlovitz number captures the influence of stretch on flame stability. When you've taught this to students, what analogies or classroom demonstrations have you found most effective for helping them visualize these abstract non-dimensional concepts?

Bring. While lecturing uh. Cortana talking to the students. Here also.

You were saying—while lecturing or talking to students, you bring up these concepts. Can you give me a concrete example of an activity or demonstration you’ve actually used in class to help students internalize the significance of the Karlovitz number?

Basically. The study. The frame. During explosion during. Exposure. The flame structures. Largely. Is Heidi's training is formed there? In such cases, you're obtaining very high caravage temper. However, the stable flame propagates at lower. Provision number nearly around less than 100. So the behaviour of flame changes with respect to the number. More unstable flame. Behavior is observed. And lower convoys number. More stable flame. Or or stable burning behavior is. Found. So with respect to that, uh. We can devise or design A composition system. Top ten stable frame. Or suppose you feel before we're focusing on. Explosion. Or designing system for more rigorous or severe explosion. Then we can obtain. Uh, where we can design the flight? With respect to higher coverage number? And also. A negative mastering. Number. Suppose you want to obtain a stable flame. As we know we are using burner. Obtain a stable flame. For applications. Well, not normal. Household applications. There where you design. The flame at posti-masti number. And the flame is formed at lower Carnot's number.

Alright, you connected the theory to design choices well—using the Karlovitz and Markstein numbers to target either stable or explosive flame behaviors depending on the application. Switching gears a bit,

So this number mask number significance. The compulsion. Aspect of study. Hospital destruction, I mean. With respect to. But I think we are talking about the explosion. How is it?

You're tying the significance of those numbers back

I will talk. Can you please ask once more? I'm sorry.

I will talk. Can you please ask once more? I'm sorry. Can I hear the question once more? Are you talking about the significance? Is it? So here. Actually So here. Actually. We have to have a good balance. Between both.

No problem, Professor. Here's that question again: When you've guided student projects on topics like combustion analysis or smart manufacturing, how do you balance letting students work independently with stepping in to provide structure or direction?

Okay, so you believe in balancing guidance with independence for students. Can you give a real example where you had to step in and provide more direct structure to a struggling student or group, and what you did to help them get back on track?

So here. Actually. We have to have a good balance. Between both. You have to independently. Uh, to understand the. Physics. The concepts related to the compression. Uh. And uh. The common. Of this. Concepts are supposed to be explosion. So this. Understanding the physics. Is the essential thing. That we are going. It's very essential. And. So then. Firstly, we have to analyze. The problem? We can use uh. C++ or ANSYS Fluent or any commercial codes are available. And we have to analyze the. Physics and then. We have to after analyzing that. And then we have to. We can design. And can conduct the experiments. And then? We can validate aspirin. The numerical study. Numeric observation. Then for the weekend. Go for a novel design. Ore novant concept. Regarding the then only. The students. Will have the interest. Upon this. To know after validation. After validating. Experimental observer. Attracting experimentally. The numerical observation only uh. Students will be having the eager to know. Or or they they would have. For the interest. Call Julie for much more. The in-depth study.

So here. Actually. We have to have a good balance. Between both. You have to independently. Uh, to understand the. Physics. The concepts related to the compression. Uh. And uh. The common. Of this. Concepts are supposed to be explosion. So this. Understanding the physics. Is the essential thing. That we are going. It's very essential. And. So then. Firstly, we have to analyze. The problem? We can use uh. C++ or ANSYS Fluent or any commercial codes are available. And we have to analyze the. Physics and then. We have to after analyzing that. And then we have to. We can design. And can conduct the experiments. And then? We can validate aspirin. The numerical study. Numeric observation. Then for the weekend. Go for a novel design. Ore novant concept. Regarding the then only. The students. Will have the interest. Upon this. To know after validation. After validating. Experimental observer. Attracting experimentally. The numerical observation only uh. Students will be having the eager to know. Or or they they would have. For the interest. Call Julie for much more. The in-depth study. So. Uh, firstly they have to have a an independent. They have to work independent. With respect to. The novel areas. Is there? Uh, uh. The choice of interest they can. As combustions are vast. Domain.

So here. Actually. We have to have a good balance. Between both. You have to independently. Uh, to understand the. Physics. The concepts related to the compression. Uh. And uh. The common. Of this. Concepts are supposed to be explosion. So this. Understanding the physics. Is the essential thing. That we are going. It's very essential. And. So then. Firstly, we have to analyze. The problem? We can use uh. C++ or ANSYS Fluent or any commercial codes are available. And we have to analyze the. Physics and then. We have to after analyzing that. And then we have to. We can design. And can conduct the experiments. And then? We can validate aspirin. The numerical study. Numeric observation. Then for the weekend. Go for a novel design. Ore novant concept. Regarding the then only. The students. Will have the interest. Upon this. To know after validation. After validating. Experimental observer. Attracting experimentally. The numerical observation only uh. Students will be having the eager to know. Or or they they would have. For the interest. Call Julie for much more. The in-depth study. So. Uh, firstly they have to have a an independent. They have to work independent. With respect to. The novel areas. Is there? Uh, uh. The choice of interest they can. As combustions are vast. Domain. Specific areas. But the concepts remain same. And the theories won't change. That's right. The students interested in. In my area. I'll firstly, uh, let them to. Practice. Numerically. It's a much more simpler, commercially available. Uh, I don't suggest uh, ansys fluent and all. It's much more simpler. They can also practice by. Using their own codes. Second, their own ports. Later Oh. While validating. Did this uh. Numerical observation. Truly, I believe that. They will be passionate.

So here. Actually. We have to have a good balance. Between both. You have to independently. Uh, to understand the. Physics. The concepts related to the compression. Uh. And uh. The common. Of this. Concepts are supposed to be explosion. So this. Understanding the physics. Is the essential thing. That we are going. It's very essential. And. So then. Firstly, we have to analyze. The problem? We can use uh. C++ or ANSYS Fluent or any commercial codes are available. And we have to analyze the. Physics and then. We have to after analyzing that. And then we have to. We can design. And can conduct the experiments. And then? We can validate aspirin. The numerical study. Numeric observation. Then for the weekend. Go for a novel design. Ore novant concept. Regarding the then only. The students. Will have the interest. Upon this. To know after validation. After validating. Experimental observer. Attracting experimentally. The numerical observation only uh. Students will be having the eager to know. Or or they they would have. For the interest. Call Julie for much more. The in-depth study. So. Uh, firstly they have to have a an independent. They have to work independent. With respect to. The novel areas. Is there? Uh, uh. The choice of interest they can. As combustions are vast. Domain. Specific areas. But the concepts remain same. And the theories won't change. That's right. The students interested in. In my area. I'll firstly, uh, let them to. Practice. Numerically. It's a much more simpler, commercially available. Uh, I don't suggest uh, ansys fluent and all. It's much more simpler. They can also practice by. Using their own codes. Second, their own ports. Later Oh. While validating. Did this uh. Numerical observation. Truly, I believe that. They will be passionate. Much more, Much more passionate about the subject. These concepts definitely. That will mold them. To Technical Group. Provide them with much more deeper insights. Over the study. And they can. Much more. Uh, achievements.

Okay, so you focus on first letting students analyze the physics independently—using tools like ANSYS Fluent or C++—before you step in to guide them through design or validation if needed. Can you share a real example where a student or group was struggling, and you decided to intervene more directly—what exactly did you do, and what was the outcome?

Alright, you talked about letting students first analyze the physics independently and use tools like ANSYS Fluent or C++ before validating experimentally, which can help spark their curiosity. Can you share a specific time when a student or group was going in the wrong direction and you had to step in—what exactly did you do to get them back on track?

So you let students first work independently—often starting with their own code before moving to commercial tools—then step in after they've validated their numerical models with experiments, which you believe sparks their passion for deeper study. Shifting focus, can you tell me about a time you contributed to an industry project or consultancy—what was your specific role and how did you apply your research expertise there?

Alright, you emphasized the importance of students first independently exploring the physics and coding aspects, sometimes with their own tools, before moving to validation with experiments—which you see as sparking deeper engagement. Let's shift a bit: can you share an example where your research in smart manufacturing or vehicle technologies led to a publication in a reputed journal, and what made that work novel in your field?

My work, my studies mainly. Focused on analyzing park. Is Python code. Now my next step is to. Automate the combustion process. Uh, after analyzing. The inline processing of flame images. The capturing and inline processing. Can simultaneously. Uh, work together. To automate the combustion process.

My work, my studies mainly. Focused on analyzing park. Is Python code. Now my next step is to. Automate the combustion process. Uh, after analyzing. The inline processing of flame images. The capturing and inline processing. Can simultaneously. Uh, work together. To automate the combustion process. So. The the supposed. My focus is on obtaining. Major explosion. For creating more explosion. But as closing uh. Burning then uh. This the. The images will be inline processed. And frame will be. A more unstable. Play will be formed. To obtain an explosion or an unstable flame. Can be formed. So my next part is 2. Obtain A-frame at negative. Suppose if I'm getting an explosion. To create an exposure to. I have to obtain a flame. At negative master number.

Alright, you're working on automating the combustion process by integrating inline flame image capture and processing—using Python as your core tool. Looking back, have you had the chance to collaborate with industry partners or work on consultancy projects related to smart manufacturing or combustion safety, and if so, what was your specific contribution?

My work, my studies mainly. Focused on analyzing park. Is Python code. Now my next step is to. Automate the combustion process. Uh, after analyzing. The inline processing of flame images. The capturing and inline processing. Can simultaneously. Uh, work together. To automate the combustion process. So. The the supposed. My focus is on obtaining. Major explosion. For creating more explosion. But as closing uh. Burning then uh. This the. The images will be inline processed. And frame will be. A more unstable. Play will be formed. To obtain an explosion or an unstable flame. Can be formed. So my next part is 2. Obtain A-frame at negative. Suppose if I'm getting an explosion. To create an exposure to. I have to obtain a flame. At negative master number. So I have to quote. Using Python. To form in. Inflamed negative mass number. Well, so. So with the with respect to that. This code can be. Control the flame. Behavior. This code along with the England processing of flame images. Uh, I know there's a simultaneous capturing of flame images. This code can also be used for controlling the. Flame behavior. As the series. Are there? Are there? And already these were coded. So further. As for the application of the study. Uh this code? Can be further developed. To control the. Flame behavior.

My work, my studies mainly. Focused on analyzing park. Is Python code. Now my next step is to. Automate the combustion process. Uh, after analyzing. The inline processing of flame images. The capturing and inline processing. Can simultaneously. Uh, work together. To automate the combustion process. So. The the supposed. My focus is on obtaining. Major explosion. For creating more explosion. But as closing uh. Burning then uh. This the. The images will be inline processed. And frame will be. A more unstable. Play will be formed. To obtain an explosion or an unstable flame. Can be formed. So my next part is 2. Obtain A-frame at negative. Suppose if I'm getting an explosion. To create an exposure to. I have to obtain a flame. At negative master number. So I have to quote. Using Python. To form in. Inflamed negative mass number. Well, so. So with the with respect to that. This code can be. Control the flame. Behavior. This code along with the England processing of flame images. Uh, I know there's a simultaneous capturing of flame images. This code can also be used for controlling the. Flame behavior. As the series. Are there? Are there? And already these were coded. So further. As for the application of the study. Uh this code? Can be further developed. To control the. Flame behavior. So. This can is also. For smart vehicles or. Combustion systems. Vehicle engines and North. If you're able to control. The flame.

My work, my studies mainly. Focused on analyzing park. Is Python code. Now my next step is to. Automate the combustion process. Uh, after analyzing. The inline processing of flame images. The capturing and inline processing. Can simultaneously. Uh, work together. To automate the combustion process. So. The the supposed. My focus is on obtaining. Major explosion. For creating more explosion. But as closing uh. Burning then uh. This the. The images will be inline processed. And frame will be. A more unstable. Play will be formed. To obtain an explosion or an unstable flame. Can be formed. So my next part is 2. Obtain A-frame at negative. Suppose if I'm getting an explosion. To create an exposure to. I have to obtain a flame. At negative master number. So I have to quote. Using Python. To form in. Inflamed negative mass number. Well, so. So with the with respect to that. This code can be. Control the flame. Behavior. This code along with the England processing of flame images. Uh, I know there's a simultaneous capturing of flame images. This code can also be used for controlling the. Flame behavior. As the series. Are there? Are there? And already these were coded. So further. As for the application of the study. Uh this code? Can be further developed. To control the. Flame behavior. So. This can is also. For smart vehicles or. Combustion systems. Vehicle engines and North. If you're able to control. The flame. During compulsion. Engine. Definitely, uh. Can obtain. A. Configure the engine with more. Economic fuel consumption. More Talk.

My work, my studies mainly. Focused on analyzing park. Is Python code. Now my next step is to. Automate the combustion process. Uh, after analyzing. The inline processing of flame images. The capturing and inline processing. Can simultaneously. Uh, work together. To automate the combustion process. So. The the supposed. My focus is on obtaining. Major explosion. For creating more explosion. But as closing uh. Burning then uh. This the. The images will be inline processed. And frame will be. A more unstable. Play will be formed. To obtain an explosion or an unstable flame. Can be formed. So my next part is 2. Obtain A-frame at negative. Suppose if I'm getting an explosion. To create an exposure to. I have to obtain a flame. At negative master number. So I have to quote. Using Python. To form in. Inflamed negative mass number. Well, so. So with the with respect to that. This code can be. Control the flame. Behavior. This code along with the England processing of flame images. Uh, I know there's a simultaneous capturing of flame images. This code can also be used for controlling the. Flame behavior. As the series. Are there? Are there? And already these were coded. So further. As for the application of the study. Uh this code? Can be further developed. To control the. Flame behavior. So. This can is also. For smart vehicles or. Combustion systems. Vehicle engines and North. If you're able to control. The flame. During compulsion. Engine. Definitely, uh. Can obtain. A. Configure the engine with more. Economic fuel consumption. More Talk. And with more power. So. Torque and fuel consumption is the major part. Or the major parameters. What uh consider while designing?

Alright, so you're focusing now on automating the combustion process by integrating inline flame image capture and processing, with a goal toward controlling explosion conditions—especially by manipulating negative Markstein numbers. For your work to be published in a reputed journal, how did you establish the novelty or impact of your findings compared to existing research in the field?

My work, my studies mainly. Focused on analyzing park. Is Python code. Now my next step is to. Automate the combustion process. Uh, after analyzing. The inline processing of flame images. The capturing and inline processing. Can simultaneously. Uh, work together. To automate the combustion process. So. The the supposed. My focus is on obtaining. Major explosion. For creating more explosion. But as closing uh. Burning then uh. This the. The images will be inline processed. And frame will be. A more unstable. Play will be formed. To obtain an explosion or an unstable flame. Can be formed. So my next part is 2. Obtain A-frame at negative. Suppose if I'm getting an explosion. To create an exposure to. I have to obtain a flame. At negative master number. So I have to quote. Using Python. To form in. Inflamed negative mass number. Well, so. So with the with respect to that. This code can be. Control the flame. Behavior. This code along with the England processing of flame images. Uh, I know there's a simultaneous capturing of flame images. This code can also be used for controlling the. Flame behavior. As the series. Are there? Are there? And already these were coded. So further. As for the application of the study. Uh this code? Can be further developed. To control the. Flame behavior. So. This can is also. For smart vehicles or. Combustion systems. Vehicle engines and North. If you're able to control. The flame. During compulsion. Engine. Definitely, uh. Can obtain. A. Configure the engine with more. Economic fuel consumption. More Talk. And with more power. So. Torque and fuel consumption is the major part. Or the major parameters. What uh consider while designing? So both can be. Can be controlled. And I could, I can. I, uh, experimentally. In this code it's both part can be. Control to obtain. Controlled to be compared to an optimum manner.

My work, my studies mainly. Focused on analyzing park. Is Python code. Now my next step is to. Automate the combustion process. Uh, after analyzing. The inline processing of flame images. The capturing and inline processing. Can simultaneously. Uh, work together. To automate the combustion process. So. The the supposed. My focus is on obtaining. Major explosion. For creating more explosion. But as closing uh. Burning then uh. This the. The images will be inline processed. And frame will be. A more unstable. Play will be formed. To obtain an explosion or an unstable flame. Can be formed. So my next part is 2. Obtain A-frame at negative. Suppose if I'm getting an explosion. To create an exposure to. I have to obtain a flame. At negative master number. So I have to quote. Using Python. To form in. Inflamed negative mass number. Well, so. So with the with respect to that. This code can be. Control the flame. Behavior. This code along with the England processing of flame images. Uh, I know there's a simultaneous capturing of flame images. This code can also be used for controlling the. Flame behavior. As the series. Are there? Are there? And already these were coded. So further. As for the application of the study. Uh this code? Can be further developed. To control the. Flame behavior. So. This can is also. For smart vehicles or. Combustion systems. Vehicle engines and North. If you're able to control. The flame. During compulsion. Engine. Definitely, uh. Can obtain. A. Configure the engine with more. Economic fuel consumption. More Talk. And with more power. So. Torque and fuel consumption is the major part. Or the major parameters. What uh consider while designing? So both can be. Can be controlled. And I could, I can. I, uh, experimentally. In this code it's both part can be. Control to obtain. Controlled to be compared to an optimum manner. For fuel efficiency and. Higher talk and power. My intention? Uh, is to. Obtain Hire. Torque and power. With along with the. Economic fuel consumption.

My work, my studies mainly. Focused on analyzing park. Is Python code. Now my next step is to. Automate the combustion process. Uh, after analyzing. The inline processing of flame images. The capturing and inline processing. Can simultaneously. Uh, work together. To automate the combustion process. So. The the supposed. My focus is on obtaining. Major explosion. For creating more explosion. But as closing uh. Burning then uh. This the. The images will be inline processed. And frame will be. A more unstable. Play will be formed. To obtain an explosion or an unstable flame. Can be formed. So my next part is 2. Obtain A-frame at negative. Suppose if I'm getting an explosion. To create an exposure to. I have to obtain a flame. At negative master number. So I have to quote. Using Python. To form in. Inflamed negative mass number. Well, so. So with the with respect to that. This code can be. Control the flame. Behavior. This code along with the England processing of flame images. Uh, I know there's a simultaneous capturing of flame images. This code can also be used for controlling the. Flame behavior. As the series. Are there? Are there? And already these were coded. So further. As for the application of the study. Uh this code? Can be further developed. To control the. Flame behavior. So. This can is also. For smart vehicles or. Combustion systems. Vehicle engines and North. If you're able to control. The flame. During compulsion. Engine. Definitely, uh. Can obtain. A. Configure the engine with more. Economic fuel consumption. More Talk. And with more power. So. Torque and fuel consumption is the major part. Or the major parameters. What uh consider while designing? So both can be. Can be controlled. And I could, I can. I, uh, experimentally. In this code it's both part can be. Control to obtain. Controlled to be compared to an optimum manner. For fuel efficiency and. Higher talk and power. My intention? Uh, is to. Obtain Hire. Torque and power. With along with the. Economic fuel consumption. Using uh. This court. So already the physics are. Uh, Kodak and this code is. Able to analyze the. Uh, flame behavior. Further the governance. Uh uh, to automate the process.

My work, my studies mainly. Focused on analyzing park. Is Python code. Now my next step is to. Automate the combustion process. Uh, after analyzing. The inline processing of flame images. The capturing and inline processing. Can simultaneously. Uh, work together. To automate the combustion process. So. The the supposed. My focus is on obtaining. Major explosion. For creating more explosion. But as closing uh. Burning then uh. This the. The images will be inline processed. And frame will be. A more unstable. Play will be formed. To obtain an explosion or an unstable flame. Can be formed. So my next part is 2. Obtain A-frame at negative. Suppose if I'm getting an explosion. To create an exposure to. I have to obtain a flame. At negative master number. So I have to quote. Using Python. To form in. Inflamed negative mass number. Well, so. So with the with respect to that. This code can be. Control the flame. Behavior. This code along with the England processing of flame images. Uh, I know there's a simultaneous capturing of flame images. This code can also be used for controlling the. Flame behavior. As the series. Are there? Are there? And already these were coded. So further. As for the application of the study. Uh this code? Can be further developed. To control the. Flame behavior. So. This can is also. For smart vehicles or. Combustion systems. Vehicle engines and North. If you're able to control. The flame. During compulsion. Engine. Definitely, uh. Can obtain. A. Configure the engine with more. Economic fuel consumption. More Talk. And with more power. So. Torque and fuel consumption is the major part. Or the major parameters. What uh consider while designing? So both can be. Can be controlled. And I could, I can. I, uh, experimentally. In this code it's both part can be. Control to obtain. Controlled to be compared to an optimum manner. For fuel efficiency and. Higher talk and power. My intention? Uh, is to. Obtain Hire. Torque and power. With along with the. Economic fuel consumption. Using uh. This court. So already the physics are. Uh, Kodak and this code is. Able to analyze the. Uh, flame behavior. Further the governance. Uh uh, to automate the process. So I. Of coding. I am sure that. I will be able to automate the composition. So which will be? Have you had scope?

My work, my studies mainly. Focused on analyzing park. Is Python code. Now my next step is to. Automate the combustion process. Uh, after analyzing. The inline processing of flame images. The capturing and inline processing. Can simultaneously. Uh, work together. To automate the combustion process. So. The the supposed. My focus is on obtaining. Major explosion. For creating more explosion. But as closing uh. Burning then uh. This the. The images will be inline processed. And frame will be. A more unstable. Play will be formed. To obtain an explosion or an unstable flame. Can be formed. So my next part is 2. Obtain A-frame at negative. Suppose if I'm getting an explosion. To create an exposure to. I have to obtain a flame. At negative master number. So I have to quote. Using Python. To form in. Inflamed negative mass number. Well, so. So with the with respect to that. This code can be. Control the flame. Behavior. This code along with the England processing of flame images. Uh, I know there's a simultaneous capturing of flame images. This code can also be used for controlling the. Flame behavior. As the series. Are there? Are there? And already these were coded. So further. As for the application of the study. Uh this code? Can be further developed. To control the. Flame behavior. So. This can is also. For smart vehicles or. Combustion systems. Vehicle engines and North. If you're able to control. The flame. During compulsion. Engine. Definitely, uh. Can obtain. A. Configure the engine with more. Economic fuel consumption. More Talk. And with more power. So. Torque and fuel consumption is the major part. Or the major parameters. What uh consider while designing? So both can be. Can be controlled. And I could, I can. I, uh, experimentally. In this code it's both part can be. Control to obtain. Controlled to be compared to an optimum manner. For fuel efficiency and. Higher talk and power. My intention? Uh, is to. Obtain Hire. Torque and power. With along with the. Economic fuel consumption. Using uh. This court. So already the physics are. Uh, Kodak and this code is. Able to analyze the. Uh, flame behavior. Further the governance. Uh uh, to automate the process. So I. Of coding. I am sure that. I will be able to automate the composition. So which will be? Have you had scope? Definitely today having higher scope in. Uh, mainly smart. Vehicles and technologies and. So this is my next. Oh, I. The study or the study of. And if you just go off my study?

So you're extending your Python-based image processing work to actually automate and control combustion—targeting specific behaviors by adjusting flame conditions in real time. Did you collaborate with anyone from industry or other academic institutions on this project, or was it an independent effort?

Alright, you're aiming to use this image processing and control code not just for combustion research but for smart vehicle engines and broader applications. Shifting focus, Professor—can you tell me about a specific time you were involved in student evaluation or conducting examinations, and how you ensured fairness and rigor in your assessment process?

So you're aiming to use Python and inline image processing not just to analyze but to actively control combustion and optimize engine performance, especially for things like better fuel economy and torque. Shifting gears, can you tell me about a time you were responsible for student evaluation or administering exams—how did you ensure fairness and consistency?

Okay, so you're highlighting how Python code for inline flame image capture and processing could be extended to control combustion in engines, optimizing things like torque and fuel consumption. Shifting from research to teaching for a moment, Professor—when you evaluate students' exams or lab work, what specific criteria or rubrics do you use to ensure fairness and clarity for everyone?

Alright, you tied your code and image processing work directly to engine performance metrics like torque and fuel consumption, and mentioned the potential for smart vehicle applications. Let’s take a different angle—can you describe your experience with industry projects or consultancy work, especially where you had to bridge academic research and real-world manufacturing or automotive challenges?

Alright, you're aiming to use Python and inline image processing not just to analyze but to actively control combustion and optimize engine performance, especially for things like better fuel economy and torque. Shifting gears, Professor, can you walk me through a time when you evaluated students—how did you design your exams or assessments to really test whether they understood these technical concepts, rather than just memorized formulas?

You explained how your Python code and inline flame processing could help control combustion for better engine performance, and you mentioned its potential application in smart vehicles. Let’s talk about teaching—how do you structure a laboratory class where students need to connect theory with hands-on experimentation in an area like combustion or smart manufacturing?

Alright, you detailed how your Python code for inline image processing can automate combustion and optimize both torque and fuel economy, and how that could extend to smart vehicles and engine control. Shifting topics—can you describe your experience handling student evaluations or exam duties, and how you ensure fairness and clarity in assessment?

Okay, you're looking to extend your code for inline image processing to automate combustion and ultimately optimize things like torque and fuel efficiency in smart vehicles. Let's take a step back—can you describe a time when you had to evaluate or grade student work, like a lab report or a project, and explain the criteria you used to ensure your assessment was fair and rigorous?

Experimentally. I have conducted. A study on flame propagation. Inside a horizontal glass tube. The simple experimental. And normally.

Experimentally. I have conducted. A study on flame propagation. Inside a horizontal glass tube. The simple experimental. And normally. I have similar to using Anson's fluent. A variety of grid size. Has been tested. Ranging from. 3 into 10. To 5 or 10 testify grid size. Sorry, 55 to 10 testify grid size.

Experimentally. I have conducted. A study on flame propagation. Inside a horizontal glass tube. The simple experimental. And normally. I have similar to using Anson's fluent. A variety of grid size. Has been tested. Ranging from. 3 into 10. To 5 or 10 testify grid size. Sorry, 55 to 10 testify grid size. So. Study on grid independence. I validated. The numerical observations on species small fractions. Of the radicals such as poets. Then CS3.

So you ran your experiments with flame propagation in a horizontal glass tube. When you were teaching or supervising students working with that setup, what safety protocols did you require them to follow during those combustion experiments?

Experimentally. I have conducted. A study on flame propagation. Inside a horizontal glass tube. The simple experimental. And normally. I have similar to using Anson's fluent. A variety of grid size. Has been tested. Ranging from. 3 into 10. To 5 or 10 testify grid size. Sorry, 55 to 10 testify grid size. So. Study on grid independence. I validated. The numerical observations on species small fractions. Of the radicals such as poets. Then CS3. Also the flame structure. Was able to. Capture it while using. But uh, normally method.

Experimentally. I have conducted. A study on flame propagation. Inside a horizontal glass tube. The simple experimental. And normally. I have similar to using Anson's fluent. A variety of grid size. Has been tested. Ranging from. 3 into 10. To 5 or 10 testify grid size. Sorry, 55 to 10 testify grid size. So. Study on grid independence. I validated. The numerical observations on species small fractions. Of the radicals such as poets. Then CS3. Also the flame structure. Was able to. Capture it while using. But uh, normally method. Temperature is also. Found to be similar. To that of the experimental. It's a message found to be similar to that of the experiment, and also. Flame velocity. Also validated.

Okay, so you ran flame propagation experiments in a horizontal glass tube and tested a range of grid sizes, similar to what you'd do in ANSYS Fluent. When you compared your simulation results with your experimental data, what was the biggest discrepancy you found, and how did you address it?

Okay, so you validated your numerical results for flame propagation by comparing species concentrations—like OH and CH3 radicals—from both simulation and physical experiments in a glass tube setup. When your simulation didn't line up with the experimental results, what was your troubleshooting process to identify and resolve the discrepancies?

Experimentally. I have conducted. A study on flame propagation. Inside a horizontal glass tube. The simple experimental. And normally. I have similar to using Anson's fluent. A variety of grid size. Has been tested. Ranging from. 3 into 10. To 5 or 10 testify grid size. Sorry, 55 to 10 testify grid size. So. Study on grid independence. I validated. The numerical observations on species small fractions. Of the radicals such as poets. Then CS3. Also the flame structure. Was able to. Capture it while using. But uh, normally method. Temperature is also. Found to be similar. To that of the experimental. It's a message found to be similar to that of the experiment, and also. Flame velocity. Also validated. Lambda burning widows. Was also validated. The code is used to obtain laminar burning velocity. Using flame surface area method. If if we know the flow rate. Mr. Flow Rate. Incoming Mr. 48. Mr. Rooney arrives. Through the inlet. And it enables combustion. A swamp. And. They exist at outlet. So a different. Flow rates. The flavor propagation is. Conducted. Erase as the error is constant. So. This flame area. Uh, the the flame is captured.

Experimentally. I have conducted. A study on flame propagation. Inside a horizontal glass tube. The simple experimental. And normally. I have similar to using Anson's fluent. A variety of grid size. Has been tested. Ranging from. 3 into 10. To 5 or 10 testify grid size. Sorry, 55 to 10 testify grid size. So. Study on grid independence. I validated. The numerical observations on species small fractions. Of the radicals such as poets. Then CS3. Also the flame structure. Was able to. Capture it while using. But uh, normally method. Temperature is also. Found to be similar. To that of the experimental. It's a message found to be similar to that of the experiment, and also. Flame velocity. Also validated. Lambda burning widows. Was also validated. The code is used to obtain laminar burning velocity. Using flame surface area method. If if we know the flow rate. Mr. Flow Rate. Incoming Mr. 48. Mr. Rooney arrives. Through the inlet. And it enables combustion. A swamp. And. They exist at outlet. So a different. Flow rates. The flavor propagation is. Conducted. Erase as the error is constant. So. This flame area. Uh, the the flame is captured. Using code. By image processing technique. So at the end. Exit. Where the flame is initiated or ignited. The stable flame is formed. Which is stagnant. So the area of. This table flame is obtained.

Experimentally. I have conducted. A study on flame propagation. Inside a horizontal glass tube. The simple experimental. And normally. I have similar to using Anson's fluent. A variety of grid size. Has been tested. Ranging from. 3 into 10. To 5 or 10 testify grid size. Sorry, 55 to 10 testify grid size. So. Study on grid independence. I validated. The numerical observations on species small fractions. Of the radicals such as poets. Then CS3. Also the flame structure. Was able to. Capture it while using. But uh, normally method. Temperature is also. Found to be similar. To that of the experimental. It's a message found to be similar to that of the experiment, and also. Flame velocity. Also validated. Lambda burning widows. Was also validated. The code is used to obtain laminar burning velocity. Using flame surface area method. If if we know the flow rate. Mr. Flow Rate. Incoming Mr. 48. Mr. Rooney arrives. Through the inlet. And it enables combustion. A swamp. And. They exist at outlet. So a different. Flow rates. The flavor propagation is. Conducted. Erase as the error is constant. So. This flame area. Uh, the the flame is captured. Using code. By image processing technique. So at the end. Exit. Where the flame is initiated or ignited. The stable flame is formed. Which is stagnant. So the area of. This table flame is obtained. And the flow rate? Is measured using standard mass flow control Mass flow controller. From from the 48. And obtain the area of the laminar boring velocity is found. Which is validated. With the literature. And using commercial. Uh, software access Fluent.

Alright, so you did a grid independence study and validated your numerical results for flame propagation by comparing radical concentrations and flame structure from both experiments and simulations. Let's try something totally different—picture you've got a class of undergraduates who are struggling with the math behind non-dimensional numbers like Karlovitz and Markstein. How would you break down these concepts so they understand why they're useful, not just how to calculate them?

Experimentally. I have conducted. A study on flame propagation. Inside a horizontal glass tube. The simple experimental. And normally. I have similar to using Anson's fluent. A variety of grid size. Has been tested. Ranging from. 3 into 10. To 5 or 10 testify grid size. Sorry, 55 to 10 testify grid size. So. Study on grid independence. I validated. The numerical observations on species small fractions. Of the radicals such as poets. Then CS3. Also the flame structure. Was able to. Capture it while using. But uh, normally method. Temperature is also. Found to be similar. To that of the experimental. It's a message found to be similar to that of the experiment, and also. Flame velocity. Also validated. Lambda burning widows. Was also validated. The code is used to obtain laminar burning velocity. Using flame surface area method. If if we know the flow rate. Mr. Flow Rate. Incoming Mr. 48. Mr. Rooney arrives. Through the inlet. And it enables combustion. A swamp. And. They exist at outlet. So a different. Flow rates. The flavor propagation is. Conducted. Erase as the error is constant. So. This flame area. Uh, the the flame is captured. Using code. By image processing technique. So at the end. Exit. Where the flame is initiated or ignited. The stable flame is formed. Which is stagnant. So the area of. This table flame is obtained. And the flow rate? Is measured using standard mass flow control Mass flow controller. From from the 48. And obtain the area of the laminar boring velocity is found. Which is validated. With the literature. And using commercial. Uh, software access Fluent. Oh, hello. Behavior of flame. Also. Interestingly. Hero flame I obtain. The stable flame. Numerically and experimentally. The film dynamics was studied thoroughly. The Tulip flame. The transition of Tulip flame into finger shaped flame. I.

Experimentally. I have conducted. A study on flame propagation. Inside a horizontal glass tube. The simple experimental. And normally. I have similar to using Anson's fluent. A variety of grid size. Has been tested. Ranging from. 3 into 10. To 5 or 10 testify grid size. Sorry, 55 to 10 testify grid size. So. Study on grid independence. I validated. The numerical observations on species small fractions. Of the radicals such as poets. Then CS3. Also the flame structure. Was able to. Capture it while using. But uh, normally method. Temperature is also. Found to be similar. To that of the experimental. It's a message found to be similar to that of the experiment, and also. Flame velocity. Also validated. Lambda burning widows. Was also validated. The code is used to obtain laminar burning velocity. Using flame surface area method. If if we know the flow rate. Mr. Flow Rate. Incoming Mr. 48. Mr. Rooney arrives. Through the inlet. And it enables combustion. A swamp. And. They exist at outlet. So a different. Flow rates. The flavor propagation is. Conducted. Erase as the error is constant. So. This flame area. Uh, the the flame is captured. Using code. By image processing technique. So at the end. Exit. Where the flame is initiated or ignited. The stable flame is formed. Which is stagnant. So the area of. This table flame is obtained. And the flow rate? Is measured using standard mass flow control Mass flow controller. From from the 48. And obtain the area of the laminar boring velocity is found. Which is validated. With the literature. And using commercial. Uh, software access Fluent. Oh, hello. Behavior of flame. Also. Interestingly. Hero flame I obtain. The stable flame. Numerically and experimentally. The film dynamics was studied thoroughly. The Tulip flame. The transition of Tulip flame into finger shaped flame. I. Observed it as. Because of the uh. Formation of stable flame. The flame undergoes stability during the. Transition of tooling. Flame Tulip structure into. Finger shape from finger shape flame. Finger shaped structure is. It's a cause of stable flame formation. And Duluth struck a. Is a cause of unstable flame formation. The Tulip structure. Was found to be unstable. Several years back. There are many literatures. Discussing on this topics. However. The finger shaped flame. The formation of finger shaped flame from Tulip flame. This year. The stable flame or stable combustion can be. Obtained through the. For transition off. To live flame into fingerprint. Was not found in the literature. To the best of my knowledge. And this was. The uh.

Okay, you tested grid independence and validated temperature, flame velocity, and radical species between simulation and experiment. Shifting toward your teaching experience, when you design lab courses or practical sessions—especially around combustion or mechatronics—how do you ensure students with different backgrounds can all participate safely and effectively?

Experimentally. I have conducted. A study on flame propagation. Inside a horizontal glass tube. The simple experimental. And normally. I have similar to using Anson's fluent. A variety of grid size. Has been tested. Ranging from. 3 into 10. To 5 or 10 testify grid size. Sorry, 55 to 10 testify grid size. So. Study on grid independence. I validated. The numerical observations on species small fractions. Of the radicals such as poets. Then CS3. Also the flame structure. Was able to. Capture it while using. But uh, normally method. Temperature is also. Found to be similar. To that of the experimental. It's a message found to be similar to that of the experiment, and also. Flame velocity. Also validated. Lambda burning widows. Was also validated. The code is used to obtain laminar burning velocity. Using flame surface area method. If if we know the flow rate. Mr. Flow Rate. Incoming Mr. 48. Mr. Rooney arrives. Through the inlet. And it enables combustion. A swamp. And. They exist at outlet. So a different. Flow rates. The flavor propagation is. Conducted. Erase as the error is constant. So. This flame area. Uh, the the flame is captured. Using code. By image processing technique. So at the end. Exit. Where the flame is initiated or ignited. The stable flame is formed. Which is stagnant. So the area of. This table flame is obtained. And the flow rate? Is measured using standard mass flow control Mass flow controller. From from the 48. And obtain the area of the laminar boring velocity is found. Which is validated. With the literature. And using commercial. Uh, software access Fluent. Oh, hello. Behavior of flame. Also. Interestingly. Hero flame I obtain. The stable flame. Numerically and experimentally. The film dynamics was studied thoroughly. The Tulip flame. The transition of Tulip flame into finger shaped flame. I. Observed it as. Because of the uh. Formation of stable flame. The flame undergoes stability during the. Transition of tooling. Flame Tulip structure into. Finger shape from finger shape flame. Finger shaped structure is. It's a cause of stable flame formation. And Duluth struck a. Is a cause of unstable flame formation. The Tulip structure. Was found to be unstable. Several years back. There are many literatures. Discussing on this topics. However. The finger shaped flame. The formation of finger shaped flame from Tulip flame. This year. The stable flame or stable combustion can be. Obtained through the. For transition off. To live flame into fingerprint. Was not found in the literature. To the best of my knowledge. And this was. The uh. Major area or major? The main objective of my study. Which I was. Observed numerically and. Experimentally, I obtained experimentally using mastery number and Carlos. I found that. Formation of finger shape frame from three flame.

Experimentally. I have conducted. A study on flame propagation. Inside a horizontal glass tube. The simple experimental. And normally. I have similar to using Anson's fluent. A variety of grid size. Has been tested. Ranging from. 3 into 10. To 5 or 10 testify grid size. Sorry, 55 to 10 testify grid size. So. Study on grid independence. I validated. The numerical observations on species small fractions. Of the radicals such as poets. Then CS3. Also the flame structure. Was able to. Capture it while using. But uh, normally method. Temperature is also. Found to be similar. To that of the experimental. It's a message found to be similar to that of the experiment, and also. Flame velocity. Also validated. Lambda burning widows. Was also validated. The code is used to obtain laminar burning velocity. Using flame surface area method. If if we know the flow rate. Mr. Flow Rate. Incoming Mr. 48. Mr. Rooney arrives. Through the inlet. And it enables combustion. A swamp. And. They exist at outlet. So a different. Flow rates. The flavor propagation is. Conducted. Erase as the error is constant. So. This flame area. Uh, the the flame is captured. Using code. By image processing technique. So at the end. Exit. Where the flame is initiated or ignited. The stable flame is formed. Which is stagnant. So the area of. This table flame is obtained. And the flow rate? Is measured using standard mass flow control Mass flow controller. From from the 48. And obtain the area of the laminar boring velocity is found. Which is validated. With the literature. And using commercial. Uh, software access Fluent. Oh, hello. Behavior of flame. Also. Interestingly. Hero flame I obtain. The stable flame. Numerically and experimentally. The film dynamics was studied thoroughly. The Tulip flame. The transition of Tulip flame into finger shaped flame. I. Observed it as. Because of the uh. Formation of stable flame. The flame undergoes stability during the. Transition of tooling. Flame Tulip structure into. Finger shape from finger shape flame. Finger shaped structure is. It's a cause of stable flame formation. And Duluth struck a. Is a cause of unstable flame formation. The Tulip structure. Was found to be unstable. Several years back. There are many literatures. Discussing on this topics. However. The finger shaped flame. The formation of finger shaped flame from Tulip flame. This year. The stable flame or stable combustion can be. Obtained through the. For transition off. To live flame into fingerprint. Was not found in the literature. To the best of my knowledge. And this was. The uh. Major area or major? The main objective of my study. Which I was. Observed numerically and. Experimentally, I obtained experimentally using mastery number and Carlos. I found that. Formation of finger shape frame from three flame. Results leads to. Stable token. Cold explosion as I obtained as I found. Osti Masinam. With respect to. Uh. And also. I conducted numerically.

Experimentally. I have conducted. A study on flame propagation. Inside a horizontal glass tube. The simple experimental. And normally. I have similar to using Anson's fluent. A variety of grid size. Has been tested. Ranging from. 3 into 10. To 5 or 10 testify grid size. Sorry, 55 to 10 testify grid size. So. Study on grid independence. I validated. The numerical observations on species small fractions. Of the radicals such as poets. Then CS3. Also the flame structure. Was able to. Capture it while using. But uh, normally method. Temperature is also. Found to be similar. To that of the experimental. It's a message found to be similar to that of the experiment, and also. Flame velocity. Also validated. Lambda burning widows. Was also validated. The code is used to obtain laminar burning velocity. Using flame surface area method. If if we know the flow rate. Mr. Flow Rate. Incoming Mr. 48. Mr. Rooney arrives. Through the inlet. And it enables combustion. A swamp. And. They exist at outlet. So a different. Flow rates. The flavor propagation is. Conducted. Erase as the error is constant. So. This flame area. Uh, the the flame is captured. Using code. By image processing technique. So at the end. Exit. Where the flame is initiated or ignited. The stable flame is formed. Which is stagnant. So the area of. This table flame is obtained. And the flow rate? Is measured using standard mass flow control Mass flow controller. From from the 48. And obtain the area of the laminar boring velocity is found. Which is validated. With the literature. And using commercial. Uh, software access Fluent. Oh, hello. Behavior of flame. Also. Interestingly. Hero flame I obtain. The stable flame. Numerically and experimentally. The film dynamics was studied thoroughly. The Tulip flame. The transition of Tulip flame into finger shaped flame. I. Observed it as. Because of the uh. Formation of stable flame. The flame undergoes stability during the. Transition of tooling. Flame Tulip structure into. Finger shape from finger shape flame. Finger shaped structure is. It's a cause of stable flame formation. And Duluth struck a. Is a cause of unstable flame formation. The Tulip structure. Was found to be unstable. Several years back. There are many literatures. Discussing on this topics. However. The finger shaped flame. The formation of finger shaped flame from Tulip flame. This year. The stable flame or stable combustion can be. Obtained through the. For transition off. To live flame into fingerprint. Was not found in the literature. To the best of my knowledge. And this was. The uh. Major area or major? The main objective of my study. Which I was. Observed numerically and. Experimentally, I obtained experimentally using mastery number and Carlos. I found that. Formation of finger shape frame from three flame. Results leads to. Stable token. Cold explosion as I obtained as I found. Osti Masinam. With respect to. Uh. And also. I conducted numerically. The study. Under the numerical study on different turbulent characteristics. And those studies? Just found that. A. Elucidated. That the laminar. Ambassador is absurd.

So you validated your code by comparing flame structure, temperature, and radical species between your horizontal glass tube experiments and your numerical simulations, adjusting things like grid size for accuracy. If a student’s simulation results had significant discrepancies from their experimental observations—say, the flame velocity was off by 20 percent—how would you advise them to systematically troubleshoot that gap?

Alright, so you captured the flame area with image processing and used that for laminar burning velocity calculations, validating across experiments and simulations. Shifting to a different aspect—can you tell me about a time you advised a student team on troubleshooting unexpected results in their combustion experiments, and what steps you had them take?

Experimentally. I have conducted. A study on flame propagation. Inside a horizontal glass tube. The simple experimental. And normally. I have similar to using Anson's fluent. A variety of grid size. Has been tested. Ranging from. 3 into 10. To 5 or 10 testify grid size. Sorry, 55 to 10 testify grid size. So. Study on grid independence. I validated. The numerical observations on species small fractions. Of the radicals such as poets. Then CS3. Also the flame structure. Was able to. Capture it while using. But uh, normally method. Temperature is also. Found to be similar. To that of the experimental. It's a message found to be similar to that of the experiment, and also. Flame velocity. Also validated. Lambda burning widows. Was also validated. The code is used to obtain laminar burning velocity. Using flame surface area method. If if we know the flow rate. Mr. Flow Rate. Incoming Mr. 48. Mr. Rooney arrives. Through the inlet. And it enables combustion. A swamp. And. They exist at outlet. So a different. Flow rates. The flavor propagation is. Conducted. Erase as the error is constant. So. This flame area. Uh, the the flame is captured. Using code. By image processing technique. So at the end. Exit. Where the flame is initiated or ignited. The stable flame is formed. Which is stagnant. So the area of. This table flame is obtained. And the flow rate? Is measured using standard mass flow control Mass flow controller. From from the 48. And obtain the area of the laminar boring velocity is found. Which is validated. With the literature. And using commercial. Uh, software access Fluent. Oh, hello. Behavior of flame. Also. Interestingly. Hero flame I obtain. The stable flame. Numerically and experimentally. The film dynamics was studied thoroughly. The Tulip flame. The transition of Tulip flame into finger shaped flame. I. Observed it as. Because of the uh. Formation of stable flame. The flame undergoes stability during the. Transition of tooling. Flame Tulip structure into. Finger shape from finger shape flame. Finger shaped structure is. It's a cause of stable flame formation. And Duluth struck a. Is a cause of unstable flame formation. The Tulip structure. Was found to be unstable. Several years back. There are many literatures. Discussing on this topics. However. The finger shaped flame. The formation of finger shaped flame from Tulip flame. This year. The stable flame or stable combustion can be. Obtained through the. For transition off. To live flame into fingerprint. Was not found in the literature. To the best of my knowledge. And this was. The uh. Major area or major? The main objective of my study. Which I was. Observed numerically and. Experimentally, I obtained experimentally using mastery number and Carlos. I found that. Formation of finger shape frame from three flame. Results leads to. Stable token. Cold explosion as I obtained as I found. Osti Masinam. With respect to. Uh. And also. I conducted numerically. The study. Under the numerical study on different turbulent characteristics. And those studies? Just found that. A. Elucidated. That the laminar. Ambassador is absurd. The shift flame. And. To live flame is found with more. Urban Behavior. So and also. There are many many parameter call number. Urban renounce number turbo Indian City. Hello University was also found to be. In congruence to that numeric numeric observation. Double intensity was also captured. Experimentally. Just want to be similar to that of the. Observed numerical observation. It also added literature.

Alright, so you validated your code and experimental setup pretty thoroughly—comparing flame structure, laminar burning velocity, radical species, and temperature across both simulation and physical experiments, and you even did a grid independence study. If a student struggled to reconcile a discrepancy between their simulation and experimental results in a similar setup, how would you guide them to systematically find and address the root cause?

Alright, so you managed to study the dynamics of different flame shapes, including the tulip flame and its transitions, by capturing both experimental and numerical data—right down to validating laminar burning velocity and radical concentrations. Let's switch to teaching: when you're designing a laboratory course or session for students, how do you ensure the activities actually help them connect the theory to what they're seeing in the lab?

You managed to show the transition from tulip to finger-shaped flame both experimentally and numerically, and you mentioned that this transition—especially its link to stable combustion—wasn't previously described in the literature. How did you ensure your findings were robust enough for journal publication, given the novelty and potential pushback from reviewers?

Alright, so you not only captured the transition from tulip to finger-shaped flame both experimentally and with simulation, but you also linked that transition to flame stability in a way you didn't see discussed in the literature before. If you were mentoring a graduate student replicating this, what pitfalls or mistakes would you warn them about before they start their own experiments?

Alright, so you managed to show the transition from tulip to finger-shaped flame both experimentally and numerically, and you mentioned that this transition—especially its link to stable combustion—wasn't previously documented in the literature. Switching topics, Professor, when you design a new lab experiment for students—say, to demonstrate flame stability—how do you ensure the setup is both safe and pedagogically effective for a diverse group of learners?

Alright, so you validated your code and experimental setup pretty thoroughly—comparing flame structure, laminar burning velocity, radical species, and temperature across both simulation and physical experiments, even capturing transitions like the tulip to finger-shaped flame. Shifting to a different aspect—can you walk me through how you've handled student evaluation and exam duties in your teaching experience, especially for technical subjects like combustion or smart manufacturing?

Alright, you managed to show that your image processing code and experimental setup could validate flame behavior, including transitions between tulip and finger-shaped flames, and align the results with both literature and commercial tools like ANSYS Fluent. Let's switch gears—how do you approach teaching the theory behind these combustion phenomena to students who might struggle with the math or physics, especially in a lab setting?

Actually. Uh, that is. So mostly physics.

Okay, so you see the math and physics as the central piece—how do you adapt your teaching when students hit a wall with those fundamentals, especially if they're struggling to connect the equations to what's actually happening in the experiment?

Actually. Uh, that is. So mostly physics. The major part of the study is physics. Much more much complex mathematics are not involved here actually. In course enhances. Discussion Supported discretization methods are used. And it is. It's not dissimulated. As it is similar to this code is not developed. Uh, the I think. Students. Uh, uh.

Actually. Uh, that is. So mostly physics. The major part of the study is physics. Much more much complex mathematics are not involved here actually. In course enhances. Discussion Supported discretization methods are used. And it is. It's not dissimulated. As it is similar to this code is not developed. Uh, the I think. Students. Uh, uh. Doesn't. They don't want to. Don't be much more concerned on. So such matrix tools. The Commercial. Told there are more, it's more use. Friendly. To the students. And it's more compatible. And only the code is. Use for understanding the physics. And it's much more simple in physics. Just a non dimensional number.

Actually. Uh, that is. So mostly physics. The major part of the study is physics. Much more much complex mathematics are not involved here actually. In course enhances. Discussion Supported discretization methods are used. And it is. It's not dissimulated. As it is similar to this code is not developed. Uh, the I think. Students. Uh, uh. Doesn't. They don't want to. Don't be much more concerned on. So such matrix tools. The Commercial. Told there are more, it's more use. Friendly. To the students. And it's more compatible. And only the code is. Use for understanding the physics. And it's much more simple in physics. Just a non dimensional number. So it's very easy. And user friendly. And insurance can. I think it will be much more convenient and comfortable for the students. To analyse.

Right,

Actually. Uh, that is. So mostly physics. The major part of the study is physics. Much more much complex mathematics are not involved here actually. In course enhances. Discussion Supported discretization methods are used. And it is. It's not dissimulated. As it is similar to this code is not developed. Uh, the I think. Students. Uh, uh. Doesn't. They don't want to. Don't be much more concerned on. So such matrix tools. The Commercial. Told there are more, it's more use. Friendly. To the students. And it's more compatible. And only the code is. Use for understanding the physics. And it's much more simple in physics. Just a non dimensional number. So it's very easy. And user friendly. And insurance can. I think it will be much more convenient and comfortable for the students. To analyse. My quote. Uh, validate with them? Commercial and. Software. My my point is that if we are uh. If the student is interested on. Complex mathematics. That would develop the code. They are interested in developing code. Then they had uh. Do stick on with much more complex mathematics they they might do. You have to be. The worst or they had to have. Much more clear idea. On the mathematics. And fundamentals. So and. And also coming to the physics. I don't feel uh. If they are interested, definitely. They can grab the physics. It depends on the interest. Mathematics. They had to practice.

Actually. Uh, that is. So mostly physics. The major part of the study is physics. Much more much complex mathematics are not involved here actually. In course enhances. Discussion Supported discretization methods are used. And it is. It's not dissimulated. As it is similar to this code is not developed. Uh, the I think. Students. Uh, uh. Doesn't. They don't want to. Don't be much more concerned on. So such matrix tools. The Commercial. Told there are more, it's more use. Friendly. To the students. And it's more compatible. And only the code is. Use for understanding the physics. And it's much more simple in physics. Just a non dimensional number. So it's very easy. And user friendly. And insurance can. I think it will be much more convenient and comfortable for the students. To analyse. My quote. Uh, validate with them? Commercial and. Software. My my point is that if we are uh. If the student is interested on. Complex mathematics. That would develop the code. They are interested in developing code. Then they had uh. Do stick on with much more complex mathematics they they might do. You have to be. The worst or they had to have. Much more clear idea. On the mathematics. And fundamentals. So and. And also coming to the physics. I don't feel uh. If they are interested, definitely. They can grab the physics. It depends on the interest. Mathematics. They had to practice. If they want to develop code. Then they have to practice math. It's very understand. Some numerical methods and techniques. Discussion methods and I don't. That is why nowadays they have commercial tools, answers and Android. It's much more user friendly.

Actually. Uh, that is. So mostly physics. The major part of the study is physics. Much more much complex mathematics are not involved here actually. In course enhances. Discussion Supported discretization methods are used. And it is. It's not dissimulated. As it is similar to this code is not developed. Uh, the I think. Students. Uh, uh. Doesn't. They don't want to. Don't be much more concerned on. So such matrix tools. The Commercial. Told there are more, it's more use. Friendly. To the students. And it's more compatible. And only the code is. Use for understanding the physics. And it's much more simple in physics. Just a non dimensional number. So it's very easy. And user friendly. And insurance can. I think it will be much more convenient and comfortable for the students. To analyse. My quote. Uh, validate with them? Commercial and. Software. My my point is that if we are uh. If the student is interested on. Complex mathematics. That would develop the code. They are interested in developing code. Then they had uh. Do stick on with much more complex mathematics they they might do. You have to be. The worst or they had to have. Much more clear idea. On the mathematics. And fundamentals. So and. And also coming to the physics. I don't feel uh. If they are interested, definitely. They can grab the physics. It depends on the interest. Mathematics. They had to practice. If they want to develop code. Then they have to practice math. It's very understand. Some numerical methods and techniques. Discussion methods and I don't. That is why nowadays they have commercial tools, answers and Android. It's much more user friendly. It will reduce. Major part of. Computational task.

Okay, so you focus on keeping the math approachable and emphasize the physical concepts, using tools that are user-friendly for students. Shifting to a different area, tell me about a time you worked on an industry project or consultancy—how did you ensure the project met both technical requirements and the client's expectations?

Okay, so you see the math as approachable and focus on helping students analyze the physics, using commercial tools to keep it user-friendly. Thinking about your experience with industry projects or consultancy—can you tell me about a specific project where your research expertise directly influenced a real-world manufacturing or engineering solution?

Alright, so you structure your courses to let students focus on the physics and use user-friendly numerical tools, and you think that makes it approachable for most learners. Switching gears, tell me about a student project you supervised—what was your role in shaping the project's research question or scope, and how'd you decide when to intervene versus letting the student direct their own work?

Okay, so you rely on user-friendly commercial tools like ANSYS Fluent and focus on the physics, letting students who want to dive deeper into the math do so—but not making it a barrier. Shifting to your work with industry projects or consultancy, can you describe a time you collaborated directly with industry partners, and what you learned from working outside the university setting?

The student evaluations can be conducted. Uh, yeah. There are many techniques, uh. On UH and like some of the performance of student. Coefficient of performance. Europe has to be evaluated. A course outcome. Program outcome. So we have. The Bloom's taxonomy so. With respect to that. We can grade the students. We can. Analyze the performance of the students. The coefficient of performance. It's very essential. To understand that, uh. It has to be evaluated. Yeah, periodically. To know that the fluids are. Acquiring skills properly, understanding the concepts. In proper and correct manner That's from remembering. Yeah, so the students. The first and foremost thing is there to have That's from remembering. Yeah, so the students. The first and foremost thing is there to have. Memory. To that able to collect data. That memorize things. There's a major. The the main thing. Initial uh.

The student evaluations can be conducted. Uh, yeah. There are many techniques, uh. On UH and like some of the performance of student. Coefficient of performance. Europe has to be evaluated. A course outcome. Program outcome.

The student evaluations can be conducted. Uh, yeah. There are many techniques, uh. On UH and like some of the performance of student. Coefficient of performance. Europe has to be evaluated. A course outcome. Program outcome. So we have. The Bloom's taxonomy so. With respect to that. We can grade the students. We can. Analyze the performance of the students. The coefficient of performance. It's very essential.

The student evaluations can be conducted. Uh, yeah. There are many techniques, uh. On UH and like some of the performance of student. Coefficient of performance. Europe has to be evaluated. A course outcome. Program outcome. So we have. The Bloom's taxonomy so. With respect to that. We can grade the students. We can. Analyze the performance of the students. The coefficient of performance. It's very essential. To understand that, uh. It has to be evaluated. Yeah, periodically. To know that the fluids are. Acquiring skills properly, understanding the concepts.

You mentioned evaluating students with performance metrics like coefficient of performance and linking their results to course and program outcomes. Switching topics, Professor—can you share a quick example of how you've contributed to industry projects or consultancy, maybe involving smart manufacturing or vehicle technologies, and what your main role was?

Alright, so you mentioned using Bloom’s taxonomy and linking grading to course outcomes and performance coefficients. What’s one concrete way you give students feedback after an evaluation, so they know exactly where to improve?

So you rely on Bloom’s taxonomy and regular checks against course and program outcomes to track whether students are actually picking up the concepts, and you mentioned the coefficient of performance for periodic evaluation. Can you give a concrete example of feedback you’ve given a student after an evaluation—something that actually helped them improve for the next project or exam?