Please start by introducing your professional journey in academia.

Good morning to our bicep. I complicate my pain. Deny selective. My. Masterpie. Learning from SCSI case video. Stiff eye retailing to the. I I made myself. Listening to Public 60.

Okay, so you mentioned learning from SCSI case videos and something about "public sixty." Can you give me one example of a foundational concept or course you most enjoy teaching, and why it resonates with you?

Yeah, I most enjoy teaching. Image position. Computer region and machine learning. People because when I was doing, uh, my masters then. File, uh, that was based on the. Biometric, uh. Fingerprint record. So when I see that. Is a Bigelow real? Your problem. And there are, there should be. A very authentic solution. Show my uh. Minded attractive towards the. Image in Dist. The signal posting area. And when I see that. In my, uh, Btech subjects. Play holiday by. I have studied. Founder a foundational service. It's a lot, so I picked this computer with an area and. I did my research my PhD in this and. I published several. Uh, papers in renowned. Turners also in the. Conferences Manufacture.

Alright, so you gravitated toward teaching image processing and machine learning because of your experience with biometric fingerprint recognition, and you've also published related research. When you're teaching these topics, how do you make complex concepts like feature extraction or classification accessible to students who might be encountering them for the first time?

Yeah, definitely. Uh. When I was doing uh.

5% Valentine's Day for. In the PhD support. Place this feature education. So. A model that. That is useful for class. Fine to one of the classes. That we are going to classify. But suppose I want to categorize. A Fruit and vegetables. So what? In both kind of model whether it is a machine. Learning vertical planning orders. So initially and what do the pre processing required? But the rejection of creatures. From the object that is going to go. So if. One particular. A object belongs to one class. Uh, definitely. I'm certainly. But features, uh, should be. Different from the other. Then it is what we need to separate. Otherwise. Uh, there would be what the ambiguity while doing the classic? So we need to we will have to apply. Uh, a different kind of people's thinking techniques. Witnesses feature extraction techniques for some kind of proprio.

Dr., your publication record in image and video analysis is quite extensive, and you've led projects on topics like crowd behavior analysis and crop disease detection. Given your expertise, where do you see the most fundable research directions over the next few years, and which types of external grants or industry partnerships would you prioritize pursuing?

Then only.

Okay, so you emphasized the importance of selecting features that truly separate classes to avoid ambiguity during classification, especially for tasks like distinguishing fruits and vegetables. Bringing this to your research, how do you see your experience in image processing translating into fundable research directions in the next couple of years, and which funding sources or grant agencies would you specifically target?

Alright, turning to your teaching methods — let’s imagine you’re running a session on image processing for a large class, but you can’t use slides or a traditional lecture. How would you design the lesson to get students actively engaged and really wrestling with the material?

I work in the. Uh, I I want to know PC and K. PSB. And also I see. You're one of the. Project UH with the funding of eight Lex. And they are the. About. So what I. Precise, uh, in the classroom. Backpage to faster whatever the fundamentals related to. The machine learning. And deep learning and computer. The meeting that should be. And with each fundamentals? Uh, what is the app? Play some and get back to. Fundamental, Wilson. The class of uh. Make the task. Patient or the task of reflation. Or in the cast of. Uh, some kind of. Uh, process type. Image denoising. Or segmentation. Or optimism. So where? 1st is fundamental with. It's that abilities all those fundamental. And then I would take the. Sample of our. Of the projects. And help. Uh, the instrument to explore more about the. India unveiled. If any uh. Free posting and postprocess. Techniques if it is available to. Get the paper uh, reshare, uh, greater, uh, results. That also I will apply. And what about the? Current. Whatever in the current scenario, what is it? Going in the recent research paper and survey papers. Where the research is. To the marks that I will also. When will, uh, will? Work and things overboard.

Alright, Dr., let's shift gears a bit. Beyond teaching and research, what role do you see yourself playing in department-level governance—things like curriculum committees, program reviews, or accreditation processes?

Yeah, since. Umm, I, uh, I belongs to uh, Electron. And communication, uh. Things and, uh, I thought. The subjective image. And also I have a. Get comments about the embedded system. An IoT related. So, uh, and also. I have done research in the period. Of, uh, planned classical. Next one star blank system. Come and. Field of medical imaging. So at least interdisciplinary, uh. What, uh, what we have? The. Department to design any. Curriculum based on the. Which is best? Uh, which is? Investor treatments for the. Students and also uh. In last five years I've published. A paper high. Impact package journals. And also I. Got 100 projects. Soul, it will enhance. The research culture. In the department. And uh, uh, the last. 1-2 years. Also, I am emphasizing. Guide the instrument. Uh, this is my b-day time. KC student in the. So I think that. All win. Help the department. To provide visibility. Uh, in the global level. And in the previous college. I also work. To the nap and the NBA both, so that college also. Got a good ranking? So I work in the Mac criteria. 35 and 2. Show on three Katia I have. But so with the past 6. I can also. To the department. The accuracy level.

Thanks for that, Dr.. Now, let's talk about something that comes up in academic life more often than we'd like. Imagine a student files a formal complaint, claiming your grading was biased. At the same time, your department head is urging you to improve pass rates in your course. How would you handle this situation—balancing fairness, academic standards, and the pressure from leadership?

Yeah, yeah.

Definitely this is. Uh, good scenario. Good afternoon.

You started to say this is a good scenario—can you clarify how you’d actually address the complaint, especially when balancing that administrative pressure to improve pass rates with your own commitment to fairness?

But every university? Protocol. What's uh uh, updates of Mark's distribution? So from the beginning I will. Uh, I will instruct the student. And we follow all the. And do your task properly. So I will not leave. Skip track. My teachings I have. See that you have. Students, whatever trial. Moses Aircraft. Assignment survey in two. By students so. Just follow it to back. And you see that weather restaurant is doing properly or not. Song from the beginning. I will try to correct. It so that I should go.

You mentioned working on practical projects and collaborating with industry. Suppose a student group is struggling to implement a machine learning model in the lab—they're frustrated and stuck. How do you guide them without giving away the solution, and make sure they really learn from the process?

Yeah, so, uh, any projects? Are breaking up into. For several modules. So I will see that. In which modules they are getting? So whether they are getting. Start in collecting the data or. Reply posting the data. Or, uh, the data. Imbalancing of data. Or is there a? Hardware resource. They don't have it. So first I will filter out. Which not which? Madhuri Dixit. Step and if it is. Uh, if it is uh. Prepared stuck in with that particular module. I would try to find. The solution within. Our college environment. The PF clinics. Or professor if. Uh, any help we are getting? Something and. Yes, he did not. Uh. Consumer in the college. Then we'll, uh, search. The Collaborative, uh. Same kind of, uh. Work in. And we'll try to follow it. Diamonds.

Right, so you'd start by figuring out exactly which module has them stuck, whether that's data collection, preprocessing, class imbalance, or hardware issues, and you'd look for ways to help them troubleshoot within the college before reaching out to external collaborators. Alright, last thing in this section—can you share a concrete example from your industry projects or consultancy work, where you had to adapt your academic knowledge to solve a practical problem for a client?

Whenever I completed a. Task, then weather. My task is up to the mark. Or not so I. Bring to some uh. A rental organization. That would certify that. My work is up to. And my workout. Food is worth. Uh, accurate or? Matching with a standard output or one. Show by following. So I will put. Age satisfaction about. Miami Project. But I did. And then I submit.

So you ensured your project met government standards by involving a third-party organization to certify the results—shows you took validation seriously, even when the task was new to you. Alright, we're wrapping up. Is there anything you'd like to ask about the role or the team?

Yeah, if, uh, I could. Get salted Dayao. Then what role?

If you're selected, your role would center on teaching and mentoring students in emerging technology areas, leading both classroom and lab sessions, helping develop the curriculum, guiding student projects and research, and supporting departmental academic initiatives. You'd also be expected to contribute to research publications and participate in academic committees and other department activities. Anything else you'd like to know about the position or the team?

What respons?

If you're selected, your role would center on teaching and mentoring students in emerging technology areas, leading both classroom and lab sessions, helping develop the curriculum, guiding student projects, supporting research, contributing to publications, and taking part in departmental academic and administrative work. Anything else you'd like to ask before we wrap up?

No, there is no more question.