Interviewer 0:00:00
Hello Dr., thank you for taking the time today. I'm Arjun. I've reviewed your background and would like to go deeper—shall we begin?
Dr. Sreya Ghosh 0:11:10
I have started. I have completed my PhD in 2025. And I joined Jadhavpur University in 2015 after completing my masters. And there I have joined as Junior Research Fellow. And and I got take you. Phase two scholarship.
Dr. Sreya Ghosh 0:11:18
I have started. I have completed my PhD in 2025. And I joined Jadhavpur University in 2015 after completing my masters. And there I have joined as Junior Research Fellow. And and I got take you. Phase two scholarship. And my work is on based on wireless sensor networks. I have implemented wireless sensor network based routing algorithms there.
Dr. Sreya Ghosh 0:11:26
I have started. I have completed my PhD in 2025. And I joined Jadhavpur University in 2015 after completing my masters. And there I have joined as Junior Research Fellow. And and I got take you. Phase two scholarship. And my work is on based on wireless sensor networks. I have implemented wireless sensor network based routing algorithms there. That means hardware implementation. And after that, I got another senior research fellowship. From UGC. Research Grant.
Dr. Sreya Ghosh 0:11:33
I have started. I have completed my PhD in 2025. And I joined Jadhavpur University in 2015 after completing my masters. And there I have joined as Junior Research Fellow. And and I got take you. Phase two scholarship. And my work is on based on wireless sensor networks. I have implemented wireless sensor network based routing algorithms there. That means hardware implementation. And after that, I got another senior research fellowship. From UGC. Research Grant. After that I got. CSIRTC. Seniority Center. Senior Direct Fellowship.
Dr. Sreya Ghosh 0:11:46
I have started. I have completed my PhD in 2025. And I joined Jadhavpur University in 2015 after completing my masters. And there I have joined as Junior Research Fellow. And and I got take you. Phase two scholarship. And my work is on based on wireless sensor networks. I have implemented wireless sensor network based routing algorithms there. That means hardware implementation. And after that, I got another senior research fellowship. From UGC. Research Grant. After that I got. CSIRTC. Seniority Center. Senior Direct Fellowship. And I have completed my PhD. And my research area was. Phase research area was. Vanette solutions for AIML based solutions for Vanit. Peculiar Adobe.
Dr. Sreya Ghosh 0:11:53
I have started. I have completed my PhD in 2025. And I joined Jadhavpur University in 2015 after completing my masters. And there I have joined as Junior Research Fellow. And and I got take you. Phase two scholarship. And my work is on based on wireless sensor networks. I have implemented wireless sensor network based routing algorithms there. That means hardware implementation. And after that, I got another senior research fellowship. From UGC. Research Grant. After that I got. CSIRTC. Seniority Center. Senior Direct Fellowship. And I have completed my PhD. And my research area was. Phase research area was. Vanette solutions for AIML based solutions for Vanit. Peculiar Adobe. And I have published several. Ebint based channel several. IEEE Conference.
Dr. Sreya Ghosh 0:12:04
I have started. I have completed my PhD in 2025. And I joined Jadhavpur University in 2015 after completing my masters. And there I have joined as Junior Research Fellow. And and I got take you. Phase two scholarship. And my work is on based on wireless sensor networks. I have implemented wireless sensor network based routing algorithms there. That means hardware implementation. And after that, I got another senior research fellowship. From UGC. Research Grant. After that I got. CSIRTC. Seniority Center. Senior Direct Fellowship. And I have completed my PhD. And my research area was. Phase research area was. Vanette solutions for AIML based solutions for Vanit. Peculiar Adobe. And I have published several. Ebint based channel several. IEEE Conference. And after that I have joined after ending of my fellowship. I have joined my. From Kolkata as assistant professor.
Dr. Sreya Ghosh 0:12:17
I have started. I have completed my PhD in 2025. And I joined Jadhavpur University in 2015 after completing my masters. And there I have joined as Junior Research Fellow. And and I got take you. Phase two scholarship. And my work is on based on wireless sensor networks. I have implemented wireless sensor network based routing algorithms there. That means hardware implementation. And after that, I got another senior research fellowship. From UGC. Research Grant. After that I got. CSIRTC. Seniority Center. Senior Direct Fellowship. And I have completed my PhD. And my research area was. Phase research area was. Vanette solutions for AIML based solutions for Vanit. Peculiar Adobe. And I have published several. Ebint based channel several. IEEE Conference. And after that I have joined after ending of my fellowship. I have joined my. From Kolkata as assistant professor. The AIML department. Engineering aim department. And I have some. Therefore almost 2 1/2. 2 1/2 years. And. After that I. Simply joined. Techno India University, Kolkata.
Interviewer 0:11:12
You mentioned getting the TEQIP Phase Two scholarship after joining as a Junior Research Fellow at Jadhavpur University. What was your primary research focus during that period?
Dr. Sreya Ghosh 0:12:27
I have started. I have completed my PhD in 2025. And I joined Jadhavpur University in 2015 after completing my masters. And there I have joined as Junior Research Fellow. And and I got take you. Phase two scholarship. And my work is on based on wireless sensor networks. I have implemented wireless sensor network based routing algorithms there. That means hardware implementation. And after that, I got another senior research fellowship. From UGC. Research Grant. After that I got. CSIRTC. Seniority Center. Senior Direct Fellowship. And I have completed my PhD. And my research area was. Phase research area was. Vanette solutions for AIML based solutions for Vanit. Peculiar Adobe. And I have published several. Ebint based channel several. IEEE Conference. And after that I have joined after ending of my fellowship. I have joined my. From Kolkata as assistant professor. The AIML department. Engineering aim department. And I have some. Therefore almost 2 1/2. 2 1/2 years. And. After that I. Simply joined. Techno India University, Kolkata. As assistant professor in Electronics and Communication engineering department. And presently I'm working.
Interviewer 0:11:21
Okay, so you worked on wireless sensor network routing algorithms during your time as a Junior Research Fellow. What was the main challenge you faced in implementing those algorithms in practice?
Interviewer 0:11:28
Alright, so after working on hardware implementations of wireless sensor network routing algorithms, you received the UGC Senior Research Fellowship. Was there a particular project or breakthrough during that fellowship that influenced the direction of your PhD research?
Interviewer 0:11:34
So you moved from the UGC Senior Research Fellowship to the CSIR-TC Senior Direct Fellowship after your work on hardware implementation of routing algorithms in wireless sensor networks. At that stage, did your research direction change, or did you continue building on your earlier work?
Interviewer 0:11:50
Dr., with your experience, you’ve taught and mentored students in some complex technical areas. What’s one foundational concept in wireless sensor networks that you find most rewarding to teach, and why?
Interviewer 0:11:55
Okay, so you’ve published several IEEE conference papers based on your research into AIML-based VANET solutions. When you’re teaching or mentoring, how do you usually introduce students to the intersection of machine learning and wireless networks so they don’t get overwhelmed?
Interviewer 0:12:08
Alright, Dr., so after finishing your fellowship, you transitioned to an Assistant Professor role in Kolkata. When you started teaching, was there a moment or a particular classroom experience that made you realize you wanted to keep pursuing academia as your long-term path?
Interviewer 0:12:19
Alright, so after nearly two and a half years in the AIML department in Kolkata, you moved to Techno India University. In your time teaching at multiple institutions, have you noticed any differences in how students engage with hands-on lab work versus theory?
Interviewer 0:12:29
Okay, so now you're at Techno India University as an Assistant Professor in the Electronics and Communication Engineering department. Given your journey, what's one teaching moment—maybe a lab experiment or a lecture—that really stands out to you as especially rewarding so far?
Dr. Sreya Ghosh 0:13:12
There are several moments I have we have designed very. Pretty much mini research projects and all. And students are very students are very engaging there. They are very inquisitive. And each and every day I'm learning, learning with them. Them and they're, they're helping us out to find new problems and all.
Dr. Sreya Ghosh 0:13:16
There are several moments I have we have designed very. Pretty much mini research projects and all. And students are very students are very engaging there. They are very inquisitive. And each and every day I'm learning, learning with them. Them and they're, they're helping us out to find new problems and all. And. Outer Journey is very, very intriguing.
Interviewer 0:13:15
So you’re designing mini research projects with your students and finding that their curiosity actually pushes you to discover new problems together. Can you give me one specific example of a mini project where the students surprised you with their approach or insights?
Interviewer 0:13:20
So your students' curiosity has actually led you to discover new problems together, which is great. Can you give me one concrete example of a mini project where a student's question or idea really shifted your own perspective or approach?
Dr. Sreya Ghosh 0:14:00
Like we have 10 storage building there. And each and every. Water is different water, you see. Different like uh. Explored Canteen. So what is? In a second floor, teachers are sitting there and classes swaying there. Politics What are what are you such that means drinking water? Red usage, there is more.
Dr. Sreya Ghosh 0:13:56
Like we have 10 storage building there. And each and every. Water is different water, you see. Different like uh. Explored Canteen. So what is? In a second floor, teachers are sitting there and classes swaying there.
Dr. Sreya Ghosh 0:14:14
Like we have 10 storage building there. And each and every. Water is different water, you see. Different like uh. Explored Canteen. So what is? In a second floor, teachers are sitting there and classes swaying there. Politics What are what are you such that means drinking water? Red usage, there is more. The requirement of. Regarding. And the other flows like. 11th, 10th Floor. 9th Floor. This is a real problem.
Dr. Sreya Ghosh 0:14:31
Like we have 10 storage building there. And each and every. Water is different water, you see. Different like uh. Explored Canteen. So what is? In a second floor, teachers are sitting there and classes swaying there. Politics What are what are you such that means drinking water? Red usage, there is more. The requirement of. Regarding. And the other flows like. 11th, 10th Floor. 9th Floor. This is a real problem. Students asked me one one day that Madam the water. Quality is degrading. That's in the. So we thought a solution that. We can we can design approach. So that. So that is will. Yeah, cloud-based solution.
Dr. Sreya Ghosh 0:14:50
Like we have 10 storage building there. And each and every. Water is different water, you see. Different like uh. Explored Canteen. So what is? In a second floor, teachers are sitting there and classes swaying there. Politics What are what are you such that means drinking water? Red usage, there is more. The requirement of. Regarding. And the other flows like. 11th, 10th Floor. 9th Floor. This is a real problem. Students asked me one one day that Madam the water. Quality is degrading. That's in the. So we thought a solution that. We can we can design approach. So that. So that is will. Yeah, cloud-based solution. Inside and cloud based solutions. And. Be there like TTS. Pleasure sensor. Oxygen. They're like. The data will be, uh, will be. Import it to Matlab. And we planned machine learning algorith.
Dr. Sreya Ghosh 0:15:13
Like we have 10 storage building there. And each and every. Water is different water, you see. Different like uh. Explored Canteen. So what is? In a second floor, teachers are sitting there and classes swaying there. Politics What are what are you such that means drinking water? Red usage, there is more. The requirement of. Regarding. And the other flows like. 11th, 10th Floor. 9th Floor. This is a real problem. Students asked me one one day that Madam the water. Quality is degrading. That's in the. So we thought a solution that. We can we can design approach. So that. So that is will. Yeah, cloud-based solution. Inside and cloud based solutions. And. Be there like TTS. Pleasure sensor. Oxygen. They're like. The data will be, uh, will be. Import it to Matlab. And we planned machine learning algorith. Through that. The data will be. She cloud. And through cloud we can understand. That at which time? We can predict that at which time the particular maintenance is required for a. So this is the real time problem and. We can solve that using our mini project.
Interviewer 0:13:59
So you had students working in a multi-story building, with different environments like the canteen and classrooms, and it sounds like their observations about those spaces led to some interesting problems to tackle. Can you walk me through how a student's question or insight about one of those spaces actually led to a change in how you approached the project?
Interviewer 0:14:07
Dr., your recent paper in the International Journal of Communication Systems on intelligent sensing and Q-learning for 5G-V2X networks stood out. How do you bring concepts from that research—like reinforcement learning or resource allocation—into your undergraduate teaching, especially for students who might not have a strong background in AI?
Interviewer 0:14:18
So you had students observing different patterns of water usage across the building, and it sounds like those real-world differences influenced the way you all approached the project. How did you guide your students to turn those observations into a concrete solution or experimental design?
Interviewer 0:14:35
So you and your students noticed the water quality issue on different floors, and you started thinking about a cloud-based monitoring solution. When you guided them through designing that system, how did you balance letting them figure things out on their own versus stepping in with direct instruction?
Interviewer 0:14:53
Alright, so your students noticed water quality differences on different floors, and you helped guide them to build a sensor-driven, cloud-connected monitoring solution with machine learning in MATLAB. When you were teaching them the machine learning part, how did you break down those concepts so students with less background could actually implement and understand the algorithms?
Interviewer 0:15:30
Alright, so you guided your students through solving a real-world, sensor-driven problem with a cloud and machine learning approach. Stepping away from projects for a moment—your PhD research focused on vehicular ad hoc networks and AIML-based solutions. How did you adapt those advanced concepts when teaching undergraduates who might not have that background?
Dr. Sreya Ghosh 0:16:14
I was in CSCI. The background is the IMF. Department and I have also teached their data science using Python. In I am Kolkata from very the very first semi. That using Python codes.
Interviewer 0:16:16
So you brought Python and data science right into undergrad teaching, even for students without heavy computer science backgrounds—that's not always easy. How did you break down something like applying a machine learning algorithm so it clicked for those students, especially if they were seeing it for the first time?
Dr. Sreya Ghosh 0:17:41
I was in CSCI. The background is the IMF. Department and I have also teached their data science using Python. In I am Kolkata from very the very first semi. That using Python codes. And in the very first. They have started the. Cloud visualization. That means MATLAB, Nampai, Panda, all of the things are there. Which is very aligned to my PhD research. And after that in second year I have teached the code analog based. And in the third year I have taken the. Of natural language processing. The elective subject there. So kind of AI ML knowledge is very much. Very much aligned with my. Pardon. Are you there?
Interviewer 0:17:45
Okay, so you were teaching data science and Python right from the first semester, even for students without a strong CS background, and then moved into more advanced AI and NLP courses as they progressed. Since you've taught both foundational and elective subjects, which do you find more challenging—introducing beginners to technical concepts, or keeping advanced students engaged with cutting-edge material? Why?
Dr. Sreya Ghosh 0:18:34
Actually this is. The combination.
Dr. Sreya Ghosh 0:18:56
Actually this is. The combination. So if. You are going to teach analog electronics. Ford CCI. The condensed OK. So you have to make them understand. As a student, they are very skeptical. They thought that analog is not required. And you have to make them understand that without fil.
Dr. Sreya Ghosh 0:19:11
Actually this is. The combination. So if. You are going to teach analog electronics. Ford CCI. The condensed OK. So you have to make them understand. As a student, they are very skeptical. They thought that analog is not required. And you have to make them understand that without fil. Or without cancellation of knowledge. Without any signal processing. They can't build. System without hardware knowledge or without? Think it is a fundamental engineering knowledge. They are cutting it. After it is not. 2 property.
Interviewer 0:18:36
You see it as a blend—teaching beginners and advanced students each brings its own challenges and rewards. For you, when you have to explain something like image processing, which can get pretty technical, how do you tailor your approach so that both less-experienced and advanced students actually get something out of it?
Dr. Sreya Ghosh 0:19:44
Actually this is. The combination. So if. You are going to teach analog electronics. Ford CCI. The condensed OK. So you have to make them understand. As a student, they are very skeptical. They thought that analog is not required. And you have to make them understand that without fil. Or without cancellation of knowledge. Without any signal processing. They can't build. System without hardware knowledge or without? Think it is a fundamental engineering knowledge. They are cutting it. After it is not. 2 property. So this this is a chat. For me I have to make them understand what is analog to digital converse converter is what what? What is digital to analyze conversion? The phone Tim is barking. OK, don't, don't. What is excommunication or what? How this systems? Working. They will not. The cutting edge technology. OK, the cut. Technology. Stem so for me. Understand you have to. Clear the basic fundamentals.
Dr. Sreya Ghosh 0:20:03
Actually this is. The combination. So if. You are going to teach analog electronics. Ford CCI. The condensed OK. So you have to make them understand. As a student, they are very skeptical. They thought that analog is not required. And you have to make them understand that without fil. Or without cancellation of knowledge. Without any signal processing. They can't build. System without hardware knowledge or without? Think it is a fundamental engineering knowledge. They are cutting it. After it is not. 2 property. So this this is a chat. For me I have to make them understand what is analog to digital converse converter is what what? What is digital to analyze conversion? The phone Tim is barking. OK, don't, don't. What is excommunication or what? How this systems? Working. They will not. The cutting edge technology. OK, the cut. Technology. Stem so for me. Understand you have to. Clear the basic fundamentals. So before going to any kind of emerging technologies or advancing technologies. Have to make them understand the basic fundamental of incident. So I think this is an amalgamation of. Technology, basic fundamental engineering and. The cutting edge technology.
Interviewer 0:18:59
So you’re saying that when you teach analog electronics to computer science students, you have to convince them it’s still relevant, even if they’re skeptical. What’s one strategy you’ve used to help students see why a foundational topic like analog matters for their future work in areas like AI or data science?
Interviewer 0:19:24
Right, so when you're teaching analog electronics, you focus on helping skeptical students see the fundamental engineering value—making sure they understand that without signal processing or hardware, they can't really build functioning systems. You mentioned you also handled practical lab-based work; how do you evaluate whether your students truly understand the theory behind those experiments, not just the steps to complete them?
Interviewer 0:19:47
Right, so you’re saying the real challenge is convincing students of the value in fundamentals like analog electronics—even when they’re more interested in the latest technologies. When you had to explain the practical importance of something like analog-to-digital conversion, did you use any particular demonstration, analogy, or real-life example that really worked for your students?
Interviewer 0:20:08
You’re saying that before you dive into advanced topics, you work hard to ground students in the fundamentals—even when they’re skeptical or focused on the latest tech. That sounds like a real balancing act. Earlier, you mentioned publishing several IEEE conference papers based on your VANET research. For one of those papers, how did you take a complex technical result and make it accessible to your undergraduate students—can you walk me through how you’d explain a key idea from that research in the classroom?
Dr. Sreya Ghosh 0:21:35
Yes, obviously I can do that. This is a very interesting. That in NLP NLP class. They're in their. Module there is a. Recommendation. Module that is application based systems, so recommendation systems that they are. So though. I don't know what is recommendation. And I have a paper in. Calcon, 2022. And the paper was based on recommendation. It is recommended. System based paper and the. I have to find out. Particular healthcare destination for. For a particular. The shortest path for apartment. The path is not customized. That means.
Dr. Sreya Ghosh 0:22:12
Yes, obviously I can do that. This is a very interesting. That in NLP NLP class. They're in their. Module there is a. Recommendation. Module that is application based systems, so recommendation systems that they are. So though. I don't know what is recommendation. And I have a paper in. Calcon, 2022. And the paper was based on recommendation. It is recommended. System based paper and the. I have to find out. Particular healthcare destination for. For a particular. The shortest path for apartment. The path is not customized. That means. You have to find out. Healthcare. So it Google doesn't. Poor health, poor vital stats. According to your. Parties you would require. At the time, Apollo had. Apollo Hospital. Blood, Particular blood. Hospital Hospital has that particular facility. If you are going to. Hello there. The time wasted. I have designed a recommendation system. There, so will be done. Of the patient. Vital statistics. And nearby hospital.
Dr. Sreya Ghosh 0:22:31
Yes, obviously I can do that. This is a very interesting. That in NLP NLP class. They're in their. Module there is a. Recommendation. Module that is application based systems, so recommendation systems that they are. So though. I don't know what is recommendation. And I have a paper in. Calcon, 2022. And the paper was based on recommendation. It is recommended. System based paper and the. I have to find out. Particular healthcare destination for. For a particular. The shortest path for apartment. The path is not customized. That means. You have to find out. Healthcare. So it Google doesn't. Poor health, poor vital stats. According to your. Parties you would require. At the time, Apollo had. Apollo Hospital. Blood, Particular blood. Hospital Hospital has that particular facility. If you are going to. Hello there. The time wasted. I have designed a recommendation system. There, so will be done. Of the patient. Vital statistics. And nearby hospital. Hospitals. According to the analysis, it will suggest you. Board. Where should. Belikata ID or. Or Charnock. So this is. The real time problem. And real time best recommendation system.
Dr. Sreya Ghosh 0:22:46
Yes, obviously I can do that. This is a very interesting. That in NLP NLP class. They're in their. Module there is a. Recommendation. Module that is application based systems, so recommendation systems that they are. So though. I don't know what is recommendation. And I have a paper in. Calcon, 2022. And the paper was based on recommendation. It is recommended. System based paper and the. I have to find out. Particular healthcare destination for. For a particular. The shortest path for apartment. The path is not customized. That means. You have to find out. Healthcare. So it Google doesn't. Poor health, poor vital stats. According to your. Parties you would require. At the time, Apollo had. Apollo Hospital. Blood, Particular blood. Hospital Hospital has that particular facility. If you are going to. Hello there. The time wasted. I have designed a recommendation system. There, so will be done. Of the patient. Vital statistics. And nearby hospital. Hospitals. According to the analysis, it will suggest you. Board. Where should. Belikata ID or. Or Charnock. So this is. The real time problem. And real time best recommendation system. It makes the students understand that how recommendation systems work. How? Particular genre of.
Interviewer 0:21:38
So your Calcon 2022 paper was about a recommendation system for optimizing healthcare destination routes, and you used that as a teaching example in your NLP class. You were saying the path isn't customized—can you walk me through how you explained the core algorithm or technical idea to your undergrads, so they could grasp it without getting lost in the math?
Interviewer 0:22:16
So your Calcon 2022 paper tackled a healthcare recommendation system using patient vital statistics and nearby hospital facilities, and you used that example to make recommendation systems relatable in your NLP class. When you explained how route customization worked—or didn’t—to your students, what was the trickiest part for them to grasp, and how did you help them get through it?
Interviewer 0:22:34
Alright, so for that Calcon 2022 recommendation system paper, you connected the research directly to your NLP teaching by showing how patient data and facility matching is a real-world use case. Thinking now about your research area—vehicular ad hoc networks, embedded systems, and communication—where do you see the most fundable research directions over the next three years? What kinds of grants or industry partnerships would you target to make that work sustainable at an institutional level?
Dr. Sreya Ghosh 0:24:23
Actually, my current research area is very much aligned. Present, Present. Require. Indian governments and all. In fact, we are my name. I'm trying to get some funded projects also. Fellowships and. Project funds and all industrial project funds.
Dr. Sreya Ghosh 0:24:33
Actually, my current research area is very much aligned. Present, Present. Require. Indian governments and all. In fact, we are my name. I'm trying to get some funded projects also. Fellowships and. Project funds and all industrial project funds. My research area Current research area is based on. You know, and AI driven wireless systems, energy efficient systems. And how? Cashew worked and all.
Dr. Sreya Ghosh 0:24:50
Actually, my current research area is very much aligned. Present, Present. Require. Indian governments and all. In fact, we are my name. I'm trying to get some funded projects also. Fellowships and. Project funds and all industrial project funds. My research area Current research area is based on. You know, and AI driven wireless systems, energy efficient systems. And how? Cashew worked and all. And five. Systems Advanced driving assistance. Which is a very thirsty area award. So using this. Knowledge and using. Of air driven areas. Planning to submit the. Funded project.
Dr. Sreya Ghosh 0:25:06
Actually, my current research area is very much aligned. Present, Present. Require. Indian governments and all. In fact, we are my name. I'm trying to get some funded projects also. Fellowships and. Project funds and all industrial project funds. My research area Current research area is based on. You know, and AI driven wireless systems, energy efficient systems. And how? Cashew worked and all. And five. Systems Advanced driving assistance. Which is a very thirsty area award. So using this. Knowledge and using. Of air driven areas. Planning to submit the. Funded project. Department of. Science and technology, that is. Chandan, Chandan. This foundation is an. And if I get the funding, I'll start building my. Prototype. Finally.
Interviewer 0:24:26
So you're pursuing both government and industrial funding streams for your current research—sounds proactive. Since you mentioned aligning with national priorities, which specific government grant agencies or industry partners do you see as most realistic targets for your embedded systems or wireless sensor work over the next year?
Interviewer 0:24:42
Alright, Dr., let's shift to your approach in the classroom. You’ve taught foundational and advanced courses, and you’ve also guided hands-on student projects. Suppose you’re teaching a big introductory class—two hundred students—and slides aren’t allowed. How would you design a session that keeps everyone actively engaged and learning, not just sitting and listening?
Interviewer 0:24:54
Right, so you’re focusing on AI-driven wireless systems and advanced driver assistance, and you’re actively pursuing both fellowship and industry funding. When you introduce these cutting-edge research topics to your students, how do you design classroom activities or assignments that actually get them to wrestle with the material, rather than just listening passively?
Interviewer 0:25:09
Okay, so you're actively pursuing Department of Science and Technology funding and working on AI-driven wireless and energy-efficient systems, plus advanced driver assistance—definitely timely topics. Shifting back to teaching for a moment: if you had to run a session with two hundred students and couldn't use slides, how would you keep everyone engaged and actually learning, not just sitting passively?
Dr. Sreya Ghosh 0:26:14
OK, so I have. Handle 200. Slides OK. Then what I have to do? I can't. Just stand in front of. In front of the dial. I have. I have to last bench of the classroom. While talking I have. Last bin. And I have to roam around. I have to my problem. And yeah, I have. Tell them that. Using their. Do that problem. I have to roam around and. The last. Through the through the middle bed.
Dr. Sreya Ghosh 0:26:26
OK, so I have. Handle 200. Slides OK. Then what I have to do? I can't. Just stand in front of. In front of the dial. I have. I have to last bench of the classroom. While talking I have. Last bin. And I have to roam around. I have to my problem. And yeah, I have. Tell them that. Using their. Do that problem. I have to roam around and. The last. Through the through the middle bed. And I have. To Aao Thaduli. That engaging now? OK, what I can do if I go into the? Let us take a scenario. They are making a, not.
Dr. Sreya Ghosh 0:26:18
OK, so I have. Handle 200. Slides OK. Then what I have to do? I can't. Just stand in front of. In front of the dial. I have. I have to last bench of the classroom. While talking I have. Last bin. And I have to roam around. I have to my problem. And yeah, I have. Tell them that. Using their. Do that problem. I have to roam around and. The last. Through the through the middle bed. And I have. To Aao Thaduli.
Dr. Sreya Ghosh 0:27:00
OK, so I have. Handle 200. Slides OK. Then what I have to do? I can't. Just stand in front of. In front of the dial. I have. I have to last bench of the classroom. While talking I have. Last bin. And I have to roam around. I have to my problem. And yeah, I have. Tell them that. Using their. Do that problem. I have to roam around and. The last. Through the through the middle bed. And I have. To Aao Thaduli. That engaging now? OK, what I can do if I go into the? Let us take a scenario. They are making a, not. So then what I have to do? I have to choose the. By student or efficient student. And I have to take. From him or her. And tell them that you can manage. Last section so that. For a time. Stop, then I will. There after taking. First section of like that I can engage the class. And. My thinking problem, Real time thinking problem so that we can share exchange. Like that I can end.
Interviewer 0:26:17
Right, so you’d move around the room and engage directly with students, even without slides. When you’re doing that—how do you actually check if students are following along or just zoning out? What’s your method for figuring out who’s really engaged?
Interviewer 0:26:20
So you'd physically move around the room and interact with students directly, even in a big class without slides. When you're doing that, how do you actually tell if students are understanding or just pretending to follow along? What's your go-to way of checking real engagement in the moment?
Interviewer 0:26:29
Alright, Dr., let's talk a bit about your experience with the administrative side of academia. Accreditation cycles can be pretty demanding—if you joined our department and found that outcome assessment data was inconsistent across courses, how would you approach fixing that?
Interviewer 0:27:02
So you’d have to really be present in the room, moving around and even involving students in helping to manage the class, especially for something as large as 200 people. When you’re handling those kinds of big classrooms, you also have to deal with institutional processes—like accreditation and making sure course outcomes are actually measured. If you joined our department and found that outcome assessment data was inconsistent across courses, how would you approach fixing that?
Dr. Sreya Ghosh 0:28:40
Right now we are we are going through the outcome based education so. What we have to do, we have to go for continuous. Adjustment have. Take the midterm questions are along with. CPO mapping. All the other questions are. According to the Bloom's taxonomy level. And there is, there should be. Equality there should be. That means. You have to give the question from. Analyze level from you have to. Give questions from evaluate level. You have to give questions from understand level. So they're they're. We have to go to the. Both for the continuous. Assessment method. You have to give for. For exoplan mapping should be there properly. OK. And you have to define here the PSO and PEO of your of your, your department of our department properly. So like that, I think the NBA the course file should be maintained properly. Every the strategy materials. Style. Everything should be aligned properly. And according to that, I think we can go for the NB and.
Dr. Sreya Ghosh 0:27:46
Right now we are we are going through the outcome based education so. What we have to do, we have to go for continuous. Adjustment have.
Dr. Sreya Ghosh 0:28:16
Right now we are we are going through the outcome based education so. What we have to do, we have to go for continuous. Adjustment have. Take the midterm questions are along with. CPO mapping. All the other questions are. According to the Bloom's taxonomy level. And there is, there should be. Equality there should be. That means. You have to give the question from. Analyze level from you have to. Give questions from evaluate level. You have to give questions from understand level. So they're they're. We have to go to the. Both for the continuous. Assessment method.
Dr. Sreya Ghosh 0:28:21
Right now we are we are going through the outcome based education so. What we have to do, we have to go for continuous. Adjustment have. Take the midterm questions are along with. CPO mapping. All the other questions are. According to the Bloom's taxonomy level. And there is, there should be. Equality there should be. That means. You have to give the question from. Analyze level from you have to. Give questions from evaluate level. You have to give questions from understand level. So they're they're. We have to go to the. Both for the continuous. Assessment method. You have to give for. For exoplan mapping should be there properly.
Interviewer 0:27:49
So you mentioned continuous adjustment as part of outcome-based education, but let's get concrete—suppose the data from one course doesn't align at all with the department's stated learning outcomes, while another course is over-reporting positive results. What steps would you take, day to day, to make sure the data is actually accurate and useful for accreditation?
Interviewer 0:28:19
So you’re mapping midterm questions to Bloom’s taxonomy and making sure assessment covers all levels, like analyze and evaluate. But what if you discover that even after these changes, some faculty aren’t actually implementing the mapping correctly—how would you address that situation?
Interviewer 0:28:24
So you're focused on continuous assessment and careful mapping to Bloom's taxonomy, making sure evaluation covers everything from understanding to analysis. But say you find that, even with these methods, other faculty are collecting outcome data in very different ways—how would you bring consistency and get everyone aligned with accreditation standards?