Yes, we can proceed with the interview.

Please start by introducing your professional journey in academia.

Good morning. I'm Dr. S Rajarajeshwari. My research qualification My qualification is.

Dr. Rajarajeshwari, thinking about your teaching practice, what's one foundational concept or topic you most enjoy introducing to students for the first time?

BSc. Computer Science, MCA MPhil, PhD. I have completed my BSc Dihiri in 2002. After that I have completed my MC degree in Nagapa University in the year 2005. After that I have completed my M field degree in. 2008. And later I have done my research in opinion mining classification in the university and I have completed my PhD degree in 2022 August. And also I have teaching and experience in 19 plus years of experience both engineering and arts colleges and. I have took various responsibilities in college level as well as in the department level. In department level I have teaching, learning. Coordinator of our department and also I am the Anna University coordinator and a city coordinator as well as I am the lab and infra coordinator and also. Uh, I have a. Very college level responsibilities like Reg. That is, we have a research interest group in our college. So I am the research interest group coordinator. For Data Science group and I have published numerous articles in both Q1 as an Scopus integrity journals and I have organized 30 plus number of FDPS workshops and. Industrial VCs and also I have attended 30 plus FDP workshops like events and also I have attended 10 plus conference papers and I have also presented A10 plus conference papers in both. National and international. Conferences and I am acted as a BOS coordinator in various colleges that is Board of State subject expert in the Board of studies and. I am well in developing curriculum and research oriented workshops in college level as well as in the department level. And for a language experience, I'm well known about a Tamil and English and I have little knowledge in Hindi also. I have published 4 patent and 1 design patent is granted and I have submitted 2 refunding proposals in DST and serve. Funding proposal. Agencies.

That's a substantial journey, Dr. Rajarajeshwari. You mentioned coordinating curriculum development and research workshops—when you're designing a new course or revising an existing one, how do you decide which foundational theories or practical skills should be emphasized for your students?

So while designing a new courses. Uh, I have considered the prerequisite of the course because I know to develop a emerging technology. The students should know about what are the basic requirements about their courses. So we should. 1st to finalize the prerequisite of the course and also we align with the emerging technologies because then only the students can able to do that. Research projects as well as get. Placement, Uh. A career in well reputed organizations so these. Requirements are needed while considering the courses so. We can give the practical exposure. While designing the courses, so the case studies and some practical programs as well as mini projects also included in the curriculums.

I think these are the requirements to design A. New theory courses as well as practical courses.

Right, so you focus on prerequisites and practical exposure. When you introduce students to new technologies or case studies, how do you assess whether they've really grasped the core concepts versus just following the steps?

Dr. Rajarajeshwari, your PhD thesis on non-parametric Naïve Bayes classification using opinion mining stands out. Could you share a moment when you had to simplify that research—maybe for undergraduates or a non-specialist audience—and how you approached making those advanced concepts accessible?

Umm, so the I am considering that. IMDb movie reviews and also the product reviews which is taken from Amazon like websites. So I have classified these reviews into. Positive review as well as. Negative reviews.

Right, so you broke down sentiment analysis by using examples like movie and product reviews, and linked it back to real-world decision-making. When you presented this to undergraduates, how did you check they actually understood concepts like kernel density estimation or why non-parametric methods matter, rather than just memorizing definitions?

Uh, normally the undergraduate students. Don't have the knowledge about how to classify how the classification techniques are processing and what is meaning non parametric and what are the parametric techniques are, but they know about their attributes and futures. I can explain that with the examples. And for? Non test categories. If we consider a students example then. The columns like it. Uh, roll numbers, register numbers, name, uh, blood group, etcetera, etcetera. So these are all the features, so. Features are attributes. So while considering the classification technique, the features place. Much important role for the classifications. So because we have to know about what are all the important features. So based on the features itself we can classify the commands. To the labels so I can explain with them that considering a students category, that is if you want to categorize the student in an academic manner. Then we have to categorize the students into ABC category. So while categorizing the students. The category students secure the more marks comparing to the. Next level. So then the moderate level students get. Average marks. And the poor students get the lower marks. So we'll considering these features the marks. Play the important roles. So this is an important feature for classification technique. So I can explain them that features plays a important role. Features is nothing but that attributes in your. Details student details, so with this technique I can explain them. That while considering the text categories the the words. Plays a important role and. The words are the important features and. For classifying these techniques I can give them that the words like. Good. Is maintained for the. Positive reviews. And bad is for. Categories that. That review into negative category so. This is what I can explain. To the students.

Appreciate the details. Given your background in opinion mining and machine learning, where do you see the most fundable research directions in your area over the next few years? What kinds of grants or external partnerships would you pursue to support that work?

So I also published a paper in the Healthcare Sector Health because I wish to. Perform a much important role and help the society to improve in some secured and most. In some manner, so I wish to publish and get a funding agent funding proposals from DHC or serve for the medical health care category. I have published and I have an idea to publish a journal articles for Alzheimer disease, so Alzheimer disease. Is a major. Disease which occurred in the elderly people because in we can age in some later years and by these years they. Just forgot the images and Wellness and the basic things which we. Realizing that day-to-day life. So that I have. Here I wish to help the elderly people as well as the society to get the Funding Agency in a. For the Alzheimer's disease. Classification. Through this through the through my doctoral thesis because the doctoral thesis also classify the categories into positive and negative review manner as well as in Alzheimer's disease classification also we predict that disease in. Earlier, uh, manner so that we have to help the. Elderly people to overcome their. A life failure or from distress or in a frustrated manner. So I have I have an idea to implement. The classification technique for the. For for Alzheimer's disease patients and get an approval. Uh, from the funding agent? Agency to do. My research proposal in a better manner.

We're now going to focus on your teaching. Dr. Rajarajeshwari, you have significant experience with both theory and lab courses, especially in multimedia and artificial intelligence domains. Suppose you have a large introductory AI class with 150 students, and you're not allowed to use PowerPoint slides or standard lecturing—how would you structure a session to actively engage students and help them grapple with the core concepts?

Because normally day-to-day life, my friends and families. That my tone is a louder than others so I can able to handle such a huge. And also. I can give the real time examples to the. Crowd and also. Important thing in this situation is to. Control the students as well as. Attendance, uh, presence, is the much more important in their particular environment. So I can louder my voice and I can. Move on from students to. And I can. See them eye to eye contact. And asking some questions through the random people. And also give real time examples and ask them to interact with me and give some. Gamifications to the students, so this is the best ways to control the crowd. As well as. Asking the students question. Is much important in. Cat in this uh. Situation so the students should watch the. Watch my presentation as well as get the knowledge about these particular concept and clear with them. And ask them to get. Ask them to ask the questions to myself. And I can clear with the. A student in a better and real time situation.

You mentioned using your voice, movement, and gamification to keep a large class engaged, which is practical. How do you measure if these strategies are truly working—what signs or feedback do you look for to know your students are actually understanding and not just participating on the surface?

Shall we move on to next question?

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?

Pardon. Can you repeat the question?

Imagine this scenario, Professor: a student files a formal complaint claiming your grading was biased, but at the same time, your department head is urging you to raise pass rates for the course. How would you handle this situation, balancing both academic integrity and the external pressure?

OK.

Given your background in opinion mining and machine learning, do you have any established industry connections—perhaps with healthcare or tech companies—that you could leverage to help students secure internships or real-world project experience?

Clear and straightforward basis, so this is my best positive format side. Uh, but considering these situation.

Switching gears, Professor, let's talk about your expertise in multimedia or AI in media. Imagine you're tasked with updating a lab course to include the latest trends in deep learning for video analysis. What's one hands-on assignment you'd design to help students grasp both the technical and creative challenges in that space?

That I don't get biology in such. And also. I I can clearly explain. The textbooks for some, uh. With the explain with the help of some a tools like ChatGPT and etcetera. So with the explanation I can prove myself that I don't get biased in situation. And also. Why if students. So also feel the pressure then I have give. Counseling to one-on-one basis. To overcome.

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

So the students up to the students cloud. Clarification I can.

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

I think this. Answer helps to. Can you help so for your question?

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

Limitations or is there any?