Uh, I'm starting my interview.

From my introduction, I'm Doctor Subhanpur.

Please start by introducing your professional journey in academia.

Dr. Subhanpur, can you tell me about a foundational topic in your field that you particularly enjoy teaching, and what makes it meaningful for you in the classroom?

Yeah, I am Doctor Subhan. Uh, I have completed my PhD from National Institute of Technology. Raipur. In biomedical signal processing.

Thanks, Dr. Subhan. When you introduce biomedical signal processing to students for the first time, what's your go-to example or analogy to help them grasp the basic concept?

And soft computing. So my thesis is all about, uh, adaptive noise cancellation.

Interesting — adaptive noise cancellation is a pretty technical area. When you introduce biomedical signal processing to students for the first time, what's your go-to example or analogy to help them grasp the basic concept?

Biomedical signals using meteoristic approach. And after UH, I have completed my masters in M tech in digital communication from UH CV Ramen. Uh, university. Cortana and before that I have completed my Bachelor of Engineering from. Christian College of Engineering and Technology. July in 2010. Uh, after my engineering I joined as a lecturer. An accurate e-mail Institute of Technology. Uh, I have, uh, taught. Uh, Btech subjects? Around 2 1/2 years. After that I joined my uh. Amtech.

Right, so you've got a solid academic path from engineering through to your PhD and some teaching experience as well. Out of all the BTech subjects you taught during those two and a half years, was there one topic or class that you found especially rewarding or challenging to teach?

From 2013 to 2015. And after that I joined as a assistant professor. In Kalinga University in Air Raipur.

Right, so you’ve got a solid academic path from engineering through to your PhD and some teaching experience as well. Out of all the BTech subjects you taught during those two and a half years, was there one foundational topic you especially enjoyed teaching, and what made it meaningful for you in the classroom?

I have. I have taught there around 3 1/2 years. And in 2019 I joined my PhD as a full time research scholar. National Institute of Technology. Right, uh, in my PhD I have uh, published. Around 6. Around 10. Sci. And journals which are impactful and. Very repetitive general. And apart from that I have published 7 conferences also.

You've got a strong research background and quite a bit of classroom experience. Out of all the BTech subjects you taught in your first teaching role, was there one that stood out as your favorite to teach, and why?

After that, after completing my PhD, I joined as a assistant professor in Computer Science department. In CV Ramen Global University, Bhubaneswar. Odisha. Currently I'm working in that organization only. And after PhD and joining here. Uh, I am guiding 2 PhD students. Uh, and. For the research. And I have published 3 research paper in a repeated journals. That is also sci journals only. And I'm currently working on my project. I'm currently writing one project. For a a research funding.

Yeah, yeah, That's uh. My.

You've covered a lot of ground — especially moving from digital communications into biomedical signal processing and now guiding PhD students. Out of all the subjects you've taught, which foundational course do you enjoy teaching the most, and what makes it rewarding for you?

You've covered a lot of ground — especially moving from digital communications into biomedical signal processing and now guiding PhD students. Out of all the subjects you've taught, which foundational topic do you think students struggle with most, and how do you help them get past that initial hurdle?

And I am. I am looking forward to join the vit value. For the for a personal and professional growth for. Better research. Umm, exposure.

To enca to improve my career and to. Research.

Dr. Subhan, you mentioned your PhD thesis focused on adaptive noise cancellation in biomedical signals using a metaheuristic approach. Can you walk me through a time when you had to present this research to students or colleagues from outside your field? How did you simplify the technical aspects without losing the core message?

Given your work in biomedical signal processing and adaptive noise cancellation, where do you see the most fundable research directions over the next three years? What kinds of grants or external funding sources would you target to support that agenda?

Can you hear me?

Given your work in biomedical signal processing and your current teaching in computer science, imagine you have a class of 150 students with very different learning backgrounds. If you couldn't rely on traditional lectures or slides, how would you structure a session to actively engage everyone—especially when teaching a challenging multimedia or AI topic?

Let's say it is very, very important to engage all the 150 students all together with the background. Right, if we if we can do it our lecture with the. Uh, with the help of multimedia and the projector and everything so. Yeah, we can make our lectures interesting so that everyone can be interested on our lecture with they'll try to. Map their mind. They try to, uh, grasp as much as possible. The content we are teaching. So it will be it, it will, it is. It is very, very important to. Design our lecture such that. That everyone can understand and everyone can interpret the the topic or concept we are going to deliver there. Right, so a lot of visuals are required. And with the. With the, uh, plenty of uh. Practical examples are needed to. To convey our message, to convey the concept. To the students. Uh, particularly if we are using. If we are, we are, uh. We are explaining some complex. Algorithms or. Some complex uh uh method. Or the mathematics, right. So, so we we need to explain a lot of maths on that. So. It is not possible for everyone to understand lots of. Uh, Matson that. So it will be better. So to use the multimedia and to use the lot of visuals to. To convey your concept, to convey your message to the students.

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?

Yeah, accreditation cycles are demanding nowadays, I know. That, uh, so we, I will, I will keep track all of my lectures, all of my, uh, assignment, whatever I'm giving to the, my students and what are the quizzes? What are the? Uh, lectures. I am preparing. The, uh, lesson plans and everything. So I will keep UH-1 record to with me also so that whenever it is, uh, whenever it is needed, I can. Present and I can, uh, provide. To the IQC cell for the accreditation process or anything else?

Imagine this scenario: a student files a formal complaint, alleging that your grading was biased. At the same time, your department head is pressuring you to improve pass rates in your course. How would you handle this situation, balancing fairness to the student with the expectations from your department?

Yeah. Yeah, I know that, uh, that that can be happen, right? Uh, uh. UH students are usually expecting a higher grade from the faculty, and that is not always the. The reason? But, uh, it is important though, to design a question paper in such a manner that, uh, everyone, uh, uh, everyone can understand. To the higher level student. To the lower level student also so they they can understand. The concept and they can, uh, prepare the exam and they can pass. Or, uh, perform better in the exam? So it should be the balance 1. Right, so if if anything, if any students files a complaint against me that I am wise. So I will, I will, uh. I will counsel them. So that I will ask them then what you have performed and how you have performed. In terms of the examination, in terms of presentation, in terms of any projects, I will I will question them by. By themselves and also. If if my department health is pressuring me to lower the grades and all that. So if I am teaching a subject so. I, I, I am. I am the responsible one. To uh, to give the grades to the students. OK, so uh, I can, I can listen the suggestions from our department head. But it is, uh, it is.

My responsibility and it is my. Uh, what you say? My decision. To pass any students or not. So. I will. I will go further.

Dr. Subhan, considering your background in biomedical signal processing and experience in computer science, do you have any industry connections or collaborations that could help students gain internship or placement opportunities?

Alright. Dr. Subhan, let's focus on your expertise with multimedia and AI in media—specifically, if you were tasked with integrating a deep learning-based image classification module into an existing multimedia system for a research project, what would be your main technical considerations before deployment?

Uh for the multimedia deep learning image classification into the Access team Multimedia system for research project. Uh, for first of all we need to classify. We need to preprocess the image to convert into the grayscale image and to make a segments and the particular area if we are interested in that area. We will apply our algorithm to. To to filter that and to classify. Whatever feature we are interested in.

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

Yeah, I am just. I just want to ask that. If I join in the this department. So what will be my role? In the department and how much how much time I will get for? Our, uh, my personal research. So that I can contribute.

For any project for the. Institute.

Your responsibilities would include teaching both theory and lab courses, evaluating students, guiding projects, and actively supporting research. The department does recognize the importance of personal research, so you'll have designated time for your own work—though the exact balance can vary depending on teaching load and ongoing projects. Anything else you'd like to know?