Yeah. Yes, Sir.

Please start by introducing your professional journey in academia.

Admin myself as a PhD student research scholar in Anna University.

Thanks for sharing your academic background and mentioning your time as a research scholar at Anna University. Stepping into the classroom, what's one foundational concept or topic you especially enjoy teaching, and how do you introduce it to students who've never seen it before?

Part time. Then afterwards 2011 I will started that my research journey. Then 2018 I will completed my pH D. Still up to 2021, I am working as a Assistant professor, Associate professor in various positions in the same institution. Finally, my position is head of the department, Master of Computer Applications. After that I'll. Move to Madhapalli Institute of Technology in December 2021 onwards. Up to till. I am working as a system professor in Master of Computer Applications department. In between I'll handle wherever. Variety of subjects. Uh, uh, then administrative rules. I am a NBA coordinator, uh, then academic coordinator also I am going to involve to. Prepare curriculum. Then NBA works related to criteria 1/2. Up to criteria 7.

Right, that's quite a range of experience, especially with your work as an NBA coordinator and involvement in curriculum design. Out of the variety of subjects you've taught, is there one foundational concept you particularly enjoy introducing to new postgraduate students, and how do you typically approach making it accessible to them?

Then. In between I'll. I will become a IEEE Senior member in Professional society activities related professional society activities. Then IST life member also. Then I just enhance my learning. I will completed my NPTEL cybersecurity domain certification also. Now I am handling cybersecurity and machine learning subjects in mids college. Why? I'm going to. Move to Andhra Pradesh to Tamil Nadu meets my daughter completed my completed this school final so I will move to my. Native place like Tamil Nadu Sir. This is my short introduction.

Right, that's quite a range of experience, especially with your work as an NBA coordinator and involvement in curriculum design. Out of the variety of subjects you've taught, is there one foundational topic—maybe in cybersecurity or machine learning—that you find especially rewarding to teach to first-year postgraduates? Why does that one stand out for you?

Yes, Sir. Basic subjects like operating systems, database management systems, then computer networks. These are all basic subjects I am. Handling in the handled in first year students. First year MCA students.

Dr., I see your PhD thesis was titled "Feature Descriptors and Learning Approaches for Image Retrieval." When you've taught subjects like machine learning or data mining, how have you drawn on that research to help students grasp difficult concepts—especially those with limited math backgrounds?

Sir, actually my research is completely based on image processing. Then now the. Enormous, uh. Grooming of some other technology like AIML cybersecurity. Then I'll change my domain to cybersecurity. So now I'm give more concentration on cybersecurity Sir. That's why I completed NPTEL cybersecurity domains certification. If it is possible I am going to enroll my Mtech. In. Triple 80 What time, Sir? Especially cyber security.

Okay, you're focusing more on cybersecurity now and looking to deepen your expertise with additional qualifications. Out of curiosity, when you teach a lab course—say, in operating systems or cybersecurity—what's your approach to designing hands-on experiments so that even students with weaker technical backgrounds can succeed?

Sir, actually even even my theory classes also. The I am going to do problem to the students, for example machine learning, uh.

That's pretty high-level so far. Can you give me a concrete example of a lab experiment you've designed—just walk me through one, and how you scaffolded it for students who were struggling?

Sir, I cannot get it, Sir. Can you yes Sir, congratulate example?

No problem. I was asking for a specific example of a lab experiment you've designed—just walk me through one, and explain how you made it accessible for students who were struggling.

Sir, we are going to design the syllabus, program outcomes as well as course outcomes up to 5 units. Each unit I am going to give two programs for each unit. Maximum ten programs, maximum ten programs. Just I will tell the example Sir practical example for machine learning lab. For example, they are going to understand the supervised learning. They'll we'll give the trained data set. I mean, I'll give the. Practical problem to the students in theory classes itself they. A new data set to the students to solve the particular problem in lab session.

Let's shift focus to your research productivity and its impact. Given your background in image retrieval and your current interest in cybersecurity, where do you see the most fundable research directions over the next three years? What kinds of grants or external funding would you pursue to support those efforts?

Sir. Can you hear me, Sir?

I can hear you clearly, Dr. Let's move ahead. You mentioned handling lab and theory classes in foundational areas like operating systems and machine learning. Suppose you couldn't use slides, and you had a large group—say, 150 MCA students—how would you structure a session to keep them actively engaged with the material, rather than just lecturing?

Sir, in. Pair and share that is the another teaching method Sir. Most probably I am following problem based learning. I'll make it as a small groups, then I'll give the problem to the particular group. Maybe if 150 students means 15 groups. Then I individually I'm going to each group and. Observe the group. Progress, Sir.

Accreditation cycles can be demanding—if you joined our department and found that outcome assessment data was inconsistent across courses, how would you approach fixing that?

Maybe. Maybe we are. We add some content beyond syllabus. Content beyond the syllabus we add some contents to the. Next to best. Particularly this batch, we are going to identify identify this kind of problems. Then we add some new things to the. Next to page.

Professor, imagine this situation: a student submits a formal complaint, alleging that your grading was biased. At the same time, your department head is urging you to raise the overall pass rate for your course. How would you handle this tension between maintaining academic integrity and responding to that institutional pressure?

Khansa workshops and soccer. Some old chaps also automatically we map with.

Professor, given your background in both academia and professional societies like IEEE and ISTE, do you have industry connections that could help translate into internship or placement opportunities for your MCA students?

Sir. Can you hear me, Sir?

Dr., let's cover a few core skill areas for this role. First up: you mentioned experience in multimedia and, more recently, AI in media. Imagine you’re designing a project for students where they have to use AI to automatically tag and organize a large collection of images or videos. What would you have them focus on, and how would you guide them to tackle common challenges like mislabeled data or bias in the model?

It is very difficult Sir, because image databases are now huge. So. Definitely we need some AI tool support. Then only we'll identify this kind of problems. Most probably we are going to use cluster analysis. It's a better best choice to. Done this project Sir.

Alright, we're wrapping up. Is there anything you'd like to ask about the role or the team?

It is unsupervised learning. Most probably we are going to make it as a clusters. Then. We identify the image. Similarities using distance Euclidean distance formula or Mangatan or Minkowski. Then we'll. Choose appropriate model, then complete the process.

Alright, we're wrapping up. Is there anything you'd like to ask about the role or the team?

Sir, Can you hear me, Sir? That's all, Sir.