Please start by introducing your professional journey in academia.

Basically, my name is Asha Vardhan Reddy. Uh, completed my doctorate.

In Navalur Institute of Technology in the year of 2018 in the field of artificial intelligence and machine learning and control systems. I have 11 years of. Experience. Teaching experience and research experience.

Right, Dr. Reddy, you mentioned your doctorate. What subject area was your PhD in, and what drew you to that field initially?

With your experience teaching AI, machine learning, and control systems, what's one core concept from those subjects that you find especially rewarding to teach undergraduates, and how do you approach making it understandable for them?

Worked in various different universities and different colleges. I have published around 20 papers.

The research papers in reputed journals and conferences. My area of interest is. Uh, machine learning, deep learning, and control systems.

That's a solid publication record. When you were teaching control systems or AI, did you have a particular lab or hands-on activity that students responded to especially well?

And also I have a experience in. ERP. For the ERP Central level coordinator in SVSI University. My experience was so far.

Professor, I noticed your 2021 paper, "Implementation of Adaptive Neuro Fuzzy Controller for Fuel Cell Based Electric Vehicles," published in the Gazi University Journal of Science. Can you share how insights from that research have influenced the way you teach advanced control systems or AI topics to your students?

Four years have worked in Eastbound Engineering College, Bangalore. And one year worked in LP University. Panja. And three years worked in Svesah University. Uh, Bangalore. This is my brief.

Right, so you've coordinated NBA accreditation and handled ERP systems too. Shifting back to your research, out of those 20 publications, is there one project or paper you found especially challenging to explain to your undergraduate students? How did you help them grasp the core idea?

Introduction. Of myself.

Right, so you've coordinated NBA accreditation and handled ERP systems too. Shifting back to your research, out of those 20 publications, is there one project or paper you found especially challenging to explain to students or colleagues who weren't specialists in AI or control systems? How did you approach making it accessible?

Okay, that's a good overview. Before we move on, I'd like to hear about a time you had to explain a complex concept from your research—maybe something related to deep learning or control systems—to a group of undergraduates or non-specialists. How did you approach making it understandable without oversimplifying?

Yeah, basically, if you take the example of control systems. So we can go for the practical oriented. Explaining that is student centric. It is outcome based teaching. This is my metrology will follow so far. So what will happen is if you take on example such a way that.

She has to design A PID controller for one application. So we can use the. Student centric by using a software tool called MATLAB programming. We can demonstrate. How we can design practically for any practically by using any application?

That's pretty high-level — I want to get a sense of what you actually did. Can you give me a concrete example from your teaching where you took a research topic—maybe something from your AI or control systems work—and broke it down step by step for undergraduates, including any hands-on or lab component you used?

Students will understand the. Better. We can give the live demonstration. How it will works? What is the advantages of that? What is the disjointage of that? What is how we can improve for further? Uh, if, if students are interested in a research oriented. And we have, we have test we can test for. Many applications also. So in that way students can understand better.

Dr., given your research focus in machine learning, deep learning, and control systems, where do you see the most fundable research directions over the next few years? What kinds of grants or external funding bodies would you target to support that work?

Let's talk about teaching practice. Suppose you're assigned a first-year course in control systems with 180 students, and traditional lectures aren't allowed—no slides, no straight lecturing. How would you structure a typical class session to make sure students are actively engaged and actually learning?

Actually nowadays. I think no need of. Slides PPT. Uh, it is. OK, can go for the direct. Practical demonstration. We'll give the little bit introduction about that. What is control system? Or in practically how it will work. We'll give the different applications where the control system will works. And we'll we have a in mobile only. We have a app kind of thing, Matlab app. And we have, we can, uh. Ask them to install. And we can ask them to. Check whether it is practically demonstrated we can check or not. We can test it there only. Any errors is there we can answer any queries is there we can answer in live only in the students in the live college only. So students when become in a very, very interactive.

And also very, it is a kind of, uh. Outcome. Outcome based. For the topic.

Right, Dr., let's shift gears. Accreditation cycles can be demanding—say you join our department and notice outcome assessment data is inconsistent across courses. How would you approach fixing that while balancing your other responsibilities?

And students also may be more interested in that way. So I'll follow this. This methodology as. Uh, as I was teaching from uh. Couple of years.

Professor, imagine this situation: a student formally complains that your grading is biased, but at the same time, your department head is pressuring you to increase pass rates in your course. How would you handle this tension between maintaining academic integrity and responding to institutional expectations?

Given your background in AI, machine learning, and control systems, do you have any industry connections or collaborations that have helped your students access internships, placements, or real-world projects?

Control system is very much required. With the use of machine learning and a. How we can optimize that controlled? Technology used in electric vehicles by using. Yeah, machine learning and deep learning. So we can give, uh, we can, uh, we can demonstrate this in a. In the form of Simulink model. And we can show the students for better understanding then. They can take a lead, uh, to.

Now I'd like to ask you some practical questions related to the core areas for this role. First—imagine you're designing a curriculum module where students apply AI techniques to multimedia data, like audio or video. What's one specific project or assignment you'd create to help students connect theory to hands-on work?

If you take the some of the projects.

Like we can develop. A neural network techniques for. Controller. Used in electric vehicles. How we can optimize that controller? By using deep learning. Animation learning techniques.

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

And how we can reduce the error? That is integral, absolutely terror. Integral square rather. And how? Let's minimization how it will work properly. We can test.

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

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

Yeah, What is my role?

Your role as Assistant or Associate Professor involves teaching both in the classroom and lab, evaluating students, guiding their projects and research, and contributing to publications. You'll also support curriculum delivery and participate in department activities. Anything else you're curious about?

What are the teaching matter? Uh. Pedagogies are. Following.