And my total experience is 3 years and six months. I have my PG. I have done MCA. From Nehru instead of I-10. ITN Management, Coimbatore which is affiliated to Online Institute Chennai and BSc in Information Technology from Doctor College of Arts and Science. Coimbatore. Coming back to my research background. I think I have. The latest research which I've carried out is. Improving students. Performance. That is enhancing. Students early performance. And to develop a deep learning model. With the campus data. I think I'm carrying out a research in in in in a conducive way. I think I'm I'm. I'm really fit for uh. Your institution. Thank you.

Thank you for sharing your academic and research background, Dr.. To focus on your teaching, could you describe a foundational concept in computer science that you particularly enjoy introducing to new undergraduate students?

Uh, that is in 2015. I've joined. As assistant professor in computer science.

Thank you for detailing your background. Focusing on your recent publication regarding early academic performance prediction using deep learning, how do you translate insights from that research into concrete teaching strategies for your undergraduate students?

At KSG College of Arts and Science, Coimbatore. And I joined in August 2016, that is, maybe it's at the end of August, maybe September 1st week. I've joined in the September 1st week of 2015. Anti left. The institution. In in in May 2000. 16 like I have started at. August 2000. Saturday, September 2002. 15 and I've left the institution. May 2016, citing. Personal reasons and. Pursue PhD. Full time PhD. Then from November 2016 onwards, I enrolled for PhD at. Full time PhD at University, Department of Computer Applications, part NHD, Coimbatore. Under the guidancehip of Doctor M Punidawali. Was a professor in the in the Department of Computer Application, Bard Industry, Coimbatore. So I've I've I've I've worked at bad university as a PhD scholar. Uh, till January 2022, From November 2016 to. January 2022. And I finished my PhD. That is my. Bywatch It, which was on 20th January 2022.

Thank you for sharing those details. You mentioned developing a deep learning model to enhance student performance using campus data—can you walk me through how you would introduce the core concepts of that research to undergraduate students who are new to machine learning?

And thereafter. After completing my PhD in computer science. I joined. As assistant professor in computer science at PSG College of Arts and Science, Coimbatore.

Thank you for outlining your academic progression. In your experience teaching at the undergraduate level, how have you adapted your teaching methods to effectively support students with varied backgrounds in programming and computer science?

So that's my thing and I have resigned. From the the duty that is have relieved on. 31st May 2025 citing personal reason. The personal reason being. Like like some I have to go and. And make something like. To survey my agricultural land. Back. My own hometown. So I have to just go and do those survey thing with the revenue department? So I took a break. Now I'm looking for an opportunity. Thank you.

Understood, Dr.. Reflecting on your experience guiding student projects during your time at PSG College, can you share a specific example of how you helped a student connect theoretical knowledge from the classroom to a practical, real-world application?

Yeah, I've. I've worked. I've taught some data science courses and and Python. Subjects like Data science subject and Python. I've helped my students.

To develop a model. Like and. NLP model. Natural language processing model. Uh, and actually my students in their, uh, uh. Project like in their final year project. They have developed a uh. A voice recognition system.

Thanks for sharing that. When guiding students through data science projects, how do you assess whether they've truly understood the underlying algorithms versus just applying code from online sources?

That sounds like a valuable experience for your students. When they encountered difficulties implementing the voice recognition system, how did you guide them to troubleshoot and refine their approach?

In their final years and I kind of helped them. To to to bring about the theoretical aspect into. A practical 1. Thank you.

That’s a solid illustration of connecting theory to practice. Based on your experience, how do you tailor your teaching strategies when introducing advanced topics like deep learning to students who may not have a strong mathematical background?

Yes. How I go about to a student like when they are starting at in the beginning stage? As you said, they are not good in mathematics since mathematics is the core aspect of. That too deep learning. I'll just, I'll just. I just started with the basis, basis in a way. How deep learning works initially in a day-to-day environment. I would I would just help them. How this recommendation system works? How is large data? Are fed into the system. And what are the process within it? And initially I'll I'll go with these things and the real time application like. They're using like how this recommendation system works and. And the connection with. It's a deep learning recommendation system. Say for instance. You have this. Ecot. And this OTT platform? So what are you tell them? Whenever they they. They search for any contact in OTT platform. This this platform, this social media platform, the Arvest user date. And by harvesting user data they they take their input. And what they do is they. They kind of. Use it to to give them a better preference, a better choice. For their future inference. So the second and I'll just explain about the secondary system so that they'll be able to understand what this is.

That’s clear, Dr.. Given your research on student performance prediction, how do you design your assessments to measure both theoretical understanding and practical skills in your courses?

So initially, for theoretical purpose, what I do is I kind of teach them. Uh, continuously. From. Basis to tea a notch above stature.

That progression sounds thoughtful. As a final point on this topic, how do you incorporate your research experience—particularly your deep learning modeling work—into your classroom instruction to inspire student engagement?

So after teaching them. What I do is and I go with the practical aspect. Say for instant I'm teaching something like. A Python. And developing any model, initially I'll teach them and I even I I'll I'll teach them practically. And like. I'll make student like groups. And I'll just, I'll just go and. In, in, in cluster by cluster, I'll go and teach them about the practical aspect and how to go about it. And thereafter I'll make them, I'll give them some exercises and I'll make them do it. Initially I'll go with the. With the basic stuffs. In practical class.

And a step by step process I'll move to the. Higher process. Advanced Courses. Thank you.

Thank you for sharing your instructional strategies. Let’s turn our focus to your research trajectory. Please outline your three-year research roadmap: what are your primary research goals, and how do you plan to secure external funding or collaborations to sustain this work?

Thank you for detailing your assessment methods. Looking ahead, please outline your three-year research roadmap: what are your primary research goals, and how do you plan to secure external funding or collaborations to ensure the sustainability of your work?

Yes. It's very important when it comes to. Academics. So my road map. For the next three years. Will be. I've planned to focus. On multidisciplinary approach.

A multidisciplinary focus is timely. What strategies will you use to build collaborations—both within and outside your institution—to strengthen the impact and funding potential of your research?

It's because nowadays you cannot go only with one domain. Should have this multidisciplinary approach. For any research. To yield. A larger result. And to help the. Society at last. That's the primary goal. So our plan to develop like. A model which will. Enable like a social like which will. A robotic model or. Voting model, which will be. Uh, L full to. To collect uh. A carnage.

In the initially, in the in the cooperation area initially and then followed by. Panchayat Munish Pali area but I have a plan. Uh, the automated approach to collect carnage.

A multidisciplinary focus is timely. What strategies will you use to build collaborations—both within and outside your institution—to strengthen the impact and funding potential of your research?

That’s an interesting application. As a follow-up, how would you ensure that your research outputs lead to high-impact publications or increase your citation profile over this three-year period?

I have AI have an idea, not only the one I have mentioned earlier like. Like automated car range collection system. But also I have other ideas too. Maybe I would I would try to. UH take a candidate for UH for PhD. I'm I'm already here. Uh, Bath University approved PhD supervisor. So maybe I'll take a candidate and. I'll, I'll, I'll, I'll just try to. Give them some assignment. Based on my. My my ideas. So that it it works well and. When the idea is novel.

Dr., describe in detail how you would implement an active learning model, such as a Flipped Classroom, for a large-enrollment course in your field—without relying on traditional slide-based lectures.

Definitely it will get. Published in a in a in a top. Class Journals. I have no doubt about it and if I have ideas and. I am. I can. Possibly publish the work? Like A1 work can be like. Two papers can be done in in one idea.

In the eye impact journal. So I have, I have no worries about journal definitely I can make publication in in in a grand way. Thank you.

Thank you for sharing your approach. How would you integrate theory-based and laboratory-based coursework to maintain VIT University's high academic standards in your area of expertise?

Let's discuss your experience with institutional stewardship. Suppose your department's research output per faculty member needs to increase to meet accreditation standards. What systematic approach would you take to address this metric while ensuring academic quality is maintained?

Give more time. Maybe the teaching plays an important role for for any academic. Teaching is paramount. And apartment apart from teaching. I will. I'll try to reduce my leisure time. So that fo. Because more on research so that I will try to publish more paper. And also I can help my colleagues. To perform better. When I'm doing well, definitely the next move will be helping my. Kali to perform. Better researchwise publication wise. So there will take place overall. With a positive. Approach. Thank you.

Thank you. Now, imagine you are faced with a situation where a student accuses you of grading bias, but the administration is pressuring faculty to maintain a high pass percentage for accreditation. How would you approach resolving this conflict while upholding academic integrity?

If at all this happens.

Understood. To clarify, if your own grading standards conflict with the institution’s pass-percentage goals, how would you communicate your position to both the administration and the student involved?

Thing will be uh. I have to make a student understand each and every concept I teach. And thereafter. If students. Are getting. Lower marks, lower grades. It is definitely not going to be. Faculty member. Because if I give marks.

For free. It is not going to help the institution. The Nation.

Thank you for your perspective. Shifting focus, how would you leverage your professional network to create internship or employment pathways for students in multimedia or artificial intelligence domains?

That’s clear. How would you leverage your professional network to create internship or employment pathways for students in multimedia or artificial intelligence domains?

Teaching the subject. In a very. I stand away. But I'm not give mark in a giveaway manner. I'll make sure they do. Well.

Examination. But I have not give them mark in that. In a giveaway manner. Thank you.

Now, I’d like to focus on a few core competencies relevant to this role. Can you describe how you have applied multimedia or artificial intelligence in media within your academic or professional work?

Thank you for clarifying. Can you share a specific instance where you structured your teaching approach to help students with diverse backgrounds grasp a complex multimedia or AI concept?

There was some I I kind of a student with. Commerce Background. Two level humanities background. He I was teaching him. In the undergrad level. At the end of grad level. Uh, I yes. No idea about uh. Artificial intelligence or machine learning? Any kind of type.

Thank you. What specific adjustments did you make to your teaching style to help that student from a non-technical background succeed in understanding AI concepts?

So I taught them how this. This artificial intelligence works. By by by by just. Like by by just giving him example of he's interested in this. Automobiles. So I I just I just. Help I just taught him how this car a self driven car. Folks. I just. Tartan, uh. I just it it is a combination of three. Image recognition.

That’s a good way to contextualize AI for a non-technical student. How did you assess whether your teaching was effective for that group?

And this. GPS.

Bringing real-world interests into your teaching is effective. How do you evaluate whether your students have truly grasped both the technical and conceptual aspects in such interdisciplinary settings?

And that important thing is. Census, SO image recognition. Computer vision This major conditions falls under the computer vision category where this image and video. And in love with each other. To guide the vehicle, go. Are not particular. And the second one is. A GPS so that it will reach the place where it intends to. And the third thing is. Sensors so it can go without knocking the near on or just acting on. The other parts of throat can go. So in this way I helped him to understand how. This AI things in real-time application. Works. Thank you.

That’s a clear breakdown. How do you ensure your communication style remains structured and accessible when teaching highly technical topics to students with varying levels of prior knowledge?

What I do is.

That’s helpful. Can you describe your experience with student evaluation and exam duties, particularly how you ensure fairness and rigor in your assessments?

I take this traditional route when it comes to. Technical things. The more technical the topic is, the more. Traditional way it has to be. Followed. So I kind of I will just take this approach. I'll teach them. I'll just give them this graphical representation. Not with the PPT or other. A computer tools. I will go to the board. I will make sure everything is on the board. I'll draw things. I'll make the things. Proper in the board I will explain it. 1 by 1. Clearly. In a more often. A traditional style, it can even be called retro. Graded, but those traditional style will help. In learning technical stuff. Thank you.

Using the board and drawing out concepts can be very effective, especially for visual learners. Can you share an example of how you have evaluated students’ understanding during laboratory sessions, particularly for multimedia or AI-related experiments?

Use of I can. I can just for practical things, a laboratory. I'll, I'll, I'll, I'll take the assistant from this teaching tools like I can, I can, uh, like, uh, a video, a video thing for AI. For a related Staffs and. Uh, like a video will be more, uh, conducive. To help the student. Gain the experience of Buddha. The AI thing a laboratory wise. And that's it. And like moreover. And the the the algorithmic part and our other things has to be thought. I'll teach. The things, but to have an overall experience, the working, the culmination part. I I would tell teaching but. Teaching Tools. Maybe a video format? That would do. Thank you.

That’s clear. How have you contributed to research publications in reputed journals, particularly in the context of multimedia or AI in media?

Like particularly in AI, the contribution can be. Only in a way. Enhancing. The current knowledge.

Understood. Can you give an example of a research paper you authored or co-authored, and describe your specific contribution to that work?

It cannot be. Oh, big, but there. It's a scope for a initial enhancement from the current stage. To the next. So it can be done in such a manner. Thank you.

Understood. Can you briefly outline any experience you have working on industry projects or consultancy assignments related to multimedia or AI?

I've I've kind of helped. A company to have a. Our hoardings.

Thanks for sharing that. What was your specific role or contribution in helping the company with their hoardings?

And like a year ago. And it's and it's working. Also I've taken care of. And that's it. Thank you.

Thanks for sharing that. Could you specify your highest academic qualification and the field in which you earned your PhD, if applicable?

Yes, my PhD. A full time. In Computer Science from University Department of Computer Application, Barde University, Coimbatore.

Thank you for clarifying your qualification. How do you typically assess students’ performance in exams or project work to ensure fairness and academic integrity?

All about. Performance. I love the performance. And I even take into account their class performance while giving. Internal marks. Like how they perform in class.

Whatever they are.

Okay. How do you guide student projects or research, especially for those interested in multimedia or AI applications?

And whatever they do, I'll just give marks. Without any negligence or of any sort. I'll give what they do in class and how they understand the concept and. How to do the exams? I'll give the mark. In a very far. Manner.

Taking class performance into account can give a fuller picture. Could you describe how you ensure your teaching approach is clear and well-structured, especially when introducing foundational concepts?

Thank you.

Taking classroom engagement into account is important. How do you guide student projects or research, especially for those interested in multimedia or AI applications?

Understood. How do you ensure that your teaching remains structured and clear when introducing complex AI or multimedia topics to students with limited background in the subject?

As I said in your in earlier questions, I'll just give it in a more. Manor For students who are new to this AI and multimedia things I. Add help them to understand. And have. Real life, like the real time. I'm application of artificial intelligence.

And even it start from the mobile.

Referencing real-time applications is helpful. Could you share how you guide student research projects in multimedia or AI, especially when students are unsure where to begin?

And search.

Referencing mobile applications is a good way to ground abstract topics. Can you describe how you would structure a first laboratory session for students new to multimedia or AI?

In the social media application like Facebook, either Facebook or OTT platforms like Amazon. And ecart websites. So once they give something like. Everything is arrested, the user data is arrested and based on the user data. They they get this recommendation system. To to be more precise. They using it and it's an. It's an. It's an A classic example of artificial. So I'll just give in the real time application. And then make them understand how it works. Thank you.

Referencing mobile applications is a good way to make the subject accessible. How do you approach guiding student research projects in multimedia or AI, particularly when students are uncertain about where to start?

Referencing real-time applications like recommendation systems is a clear way to introduce these topics. Could you give an example of how you structure communication or organize your teaching materials to help students follow along step by step?

So. As I said for AI related thing.

That approach makes sense. Have you published any research papers in reputed journals, particularly in multimedia or AI?

So where it starts? The beginning. And like followed by a data. Accumulation. And extra data accumulation and. Capturing data. Filtering the. And thereafter the data transforms into. A model.

And these simple things. Basic things. I'll make them uh. No, in a step by step. Manners so that they'll understand the.

That’s a logical progression. Have you published any research papers in reputed journals, particularly in multimedia or AI?

That’s a logical progression. Have you published any research papers in reputed journals, particularly in multimedia or AI?

Again from the basis Alco from the basis 2. To make student be clear about. The top. Thank you.

Right, building from the basics is essential. Have you published any research in recognized journals, especially related to multimedia or AI?

8. Research Pub. Vacations, out of which 3 is copper syntaxed. So majority of these are. Are are are based either the? Are based on deep learning. Artificial intelligence.

Noted. Have you had any direct involvement with industry projects or consultancy work related to your field?

So most of the demand publications are? Computer channels Discover. And your approach? So I've here like the majority of them. Are based on AI. Like deep learning?

Sort of things.

Thank you, that's clear. Have you had any direct involvement with industry projects or consultancy work related to AI or multimedia?

Understood. Have you participated in any industry projects or consultancy assignments related to your area of expertise?

As of now I have not participated.

Thank you for clarifying. Is your PhD specialization directly related to multimedia, artificial intelligence, or a closely allied field?

Let me tell you. The thesis of my topic My PhD is PhD in computers and the topic is. Development of associative classification methods to predict Rd. accidents. This is data mining related. The Dominus data mining. The subject is computer Science and the domain is data mining.

Thank you for explaining your thesis topic. Have you been involved in student evaluation or exam-related duties, such as setting papers or grading, during your academic career?

I've been a Board of Studies member.

In my institution for. For for both UG and PG level.

Serving as a Board of Studies member is significant. Can you describe your approach to guiding student research projects or mentoring thesis work?

That experience at both UG and PG levels is valuable. Can you share how you ensure your communication and teaching approach remain structured and clear for diverse student backgrounds?

That is for both. BCA and MCA. I've been a board of studies member. And I'm, uh, I've, I've, I've, I've set papers for uh, for universities. Like. Barrier University. And Madhuri Kamaraj University have set papers. And and and the other thing is. I and I am I even I have valued papers. I invited papers, uh, after the exams, like, uh, every summer. That exam I have been evaluated. And these are my works related to. Examinations.

Yes, thank you.

Your involvement in both paper setting and evaluation is clear. Have you also guided student research projects or mentored students through their thesis work?

Thank you for detailing your examination work. Could you share how you maintain a structured and clear teaching approach, especially for students with varying backgrounds?

As I said earlier, I'll just keep it simple. I'll just give them basic. In the beginning and. And I go in a step by step process. Rather being too technical, I would prefer. To to stay, uh. In the basic things at 1st and JA and gradually improve the process.

Understood. Could you briefly describe your experience teaching laboratory or practical courses, particularly how you balance hands-on work with theory for your students?

So in laboratories, every subject I teach it has the laboratory component. It's like a both theory and Alabar. Papers. So my approach would be teaching even a theory and this exercises. I'll uh, this programs and the classroom.

Thanks for clarifying your approach to lab courses. Professor, is there anything else you wish to mention before we conclude?

And then once again, I get to the laboratory. I teach them. The algorithmic aspects. The mathematical notions. Of of a particular exercise. And I'll then I'll make them do by giving various other problems. I will just not go with the UH syllabus. Concentrate on various. Arts, especially in laboratory.

That approach brings depth to lab sessions. Professor, is there anything else you wish to mention before we conclude?