Good day, Vijayasankar K N. I'm Arjun. I've had a look through your background and your professional record. I'm interested in hearing more about your work and how you see yourself fitting in here with our faculty. Ready to start?

Please start by introducing your professional journey in academia.

Thanks a lot for giving this opportunity.

And, uh, you know.

I have started my, umm, teaching, uh, career, uh, after my.

Uh, masters in.

Technology.

So I no I have done my BTEC in BE in mechanical engineering, then I have done the masters in CAD Cam and I started working as a lecturer, assistant professor.

In mechanical engineering department. Hmm. In an engineering college under UH Vishwasriya Technology University.

Belgaum.

So.

Uh, that was, uh, you know, my first experience into teaching and after my UH-2 end of years of, uh, teaching, uh, then I moved, uh, for a piece to do a PhD in biomedical engineering.

To IIT Hyderabad.

So that you know to get more oriented towards research and teaching.

Thanks for sharing that!

Understood. Let's begin. Professor, I'll evaluate your skill set systematically to ensure alignment with the expectations for the role. We'll address each competency individually, starting with your expertise in Artificial Intelligence and Machine Learning in healthcare, Health Informatics, or Computer Science. Could you share an overview of your experience and contributions in these areas, focusing on any innovative methods or impactful implementations you've worked on?

Yeah, particularly related to a I, you know, my interest was to.

Uh, use data analysis for the experiments which I am I was doing.

So basically this was demonstrated by doing a.

Uh, basically on the projects of, uh, I mean basically the experience which I where I used, uh, design of experiments.

Uh uh, data analysis on the.

So there will be, uh, the we, uh, we try to automate this, the process of, uh, analysis, analyzing the data.

So that was one of my experience with.

I mean doing the kind of using a for data analysis.

So.

Apart from that, I also have, you know, interest in.

Image processing. So I also learned to you how to use some sort of.

Libraries to.

Use for image processing, especially medical image processing.

Libraries to.

I see. Could you elaborate on the automation process you mentioned for data analysis—specifically, what methods or algorithms were utilized, and how they contributed to efficiency or quality improvements?

Yeah, I'm, I'm, I'm still working on the project and, uh, you know, I'm, uh, basically the idea was to, uh, use the, umm, to understand the difference between the conventional approach of data analysis, like design of experiments, uh.

And how that especially if to understand the effect of process parameters on?

You know.

In 3D printed, uh, uh, 3D printing of biocomposites. So, uh, here, uh, we, uh, you know, whatever the data we generated using our, uh, the testing methods. So those data we are trying to.

Use for, you know, using AI. We are trying to process it for, you know, automate the data analysis process.

Thank you for explaining. Could you discuss challenges you've faced or anticipate encountering when applying AI to automate data analysis in 3D printing of biocomposites? How were or would they be addressed?

So one of the challenges of course the the amount of data which we generate especially on these kind of custom experiments.

Uh, so, uh, then, uh, the second set of, uh, I know it should be, uh, you know, the, the number of data that, uh, we are using the data set size, of course, that have a direct influence on the final.

A result. So apart from that, the, you know, similarly the challenges I faced in the not in terms of the.

You know, it's about, you know, using specific algorithms, identifying specific algorithms and this was usually we have gone through different.

Search articles which are published based on the AI.

I mean where they used a tools for the sort of experimental analysis.

Understood, Professor. I note the focus on challenges related to dataset size, algorithm selection, and reliance on existing literature. Next, let’s verify another competency: your ability to teach theory and laboratory courses effectively. Can you walk me through your approach to structuring a course, ensuring a balance between theory and practical application? Specifically, how do you design laboratory sessions to complement theoretical instruction?

Yeah, this is an excellent question. So, uh, I believe, uh, you know, first of all.

It's about the, the, the learning is about, uh, you know, learning the subjects and applying it in the real world.

Uh, scenario.

So.

The my course development is really, it will be, uh, focused more on, on the.

Uh, you know, understanding the requirements in the market, that is the first thing.

And also it's also about the feature requirements.

Which can.

I mean the future requirements of that can happen in the near future. So for that we need to understand the market requirements and the latest technology which are happening in and around.

So that will be a a foundation or a base for structuring my courses.

And then, uh, coming to the, uh, details of the course. So the course structured will be definitely, uh, it's a balance of both theory and practical, uh, approaches.

OK.

And.

The the way they teach them how to learn the this particular subject and our topics.

And.

Also it's about how we can apply these.

Principles or the theoretical understanding for real world problems. So the practical sections definitely, for example, it's about the selection of materials. It's a very crucial for.

Uh, for medical device projects, so.

So the.

First of all, we'll talk about different materials, the class of different materials.

And then we'll come to a special focus on my the, my major core of strength that is the polymer composites and polymer biomaterials.

So.

For first, I mean the what are the why particular characterization techniques are used and what is the fundamental requirement of these tests? What are you trying to find from these tests? How these can be used for different applications?

The results of the results, I mean the results of these experiments, how that can be analyzed and.

So.

How these based on these results? How a structured data based?

Decision making can be done.

For certain applications this will be.

Is, uh, the key element of my, uh, practical sessions? So I will focus on the practice session more of, uh, doing the experiments by hands on, I mean by the students themselves and applying their skills and help them to sit with them to help them to analyze the results.

Thank you, Professor. Your emphasis on linking theoretical instruction with market needs, real-world applications, and hands-on decision-making in practical sessions is insightful. Could you explain how you assess student engagement and understanding during both lecture and laboratory components? How do you adjust your methods or materials if gaps in understanding are evident?

Could you please repeat the question?

Certainly. How do you assess student engagement and understanding during both lectures and laboratory sessions? Additionally, how do you adjust your teaching methods or materials if you notice gaps in their understanding?

Yeah. So this is a.

Whether it can be in my teaching, whether it can be in my attitude, whether it can be, you know, my approaches towards, you know, certain things.

I mean, I myself will uh, you know, I always try to find uh, in myself, the, the scope for improvement.

So of course the first and foremost is to evaluation of the part. So I need to evaluate, you know, what I thought is delivered or not.

So my lecture goes in this way. I will tell them what to teach. I mean, what I'm going to teach.

And uh, I will teach.

Then I will ask, I mean I will tell them what I thought. So by doing this I think I'm following a structured way.

And moreover, to evaluate this, there is definitely it will be a interactive sessions, so I will make them to participate in the interaction.

Apart from that, uh, the sort of, uh, the case study based interactions, uh, with some of the students can select themselves the, based on the topics which is related to the related to the subject, which I mean the OR the, they can select some of the examples and case studies, uh, related to the topic which I taught.

And they can will give an opportunity for them to present.

In the classes such that from that I can I can get to know how much they.

Are learned, uh, the sub particular subject, That is one thing. Second thing is to, of course, it's a, uh, there will be also, uh, I will also conduct, uh, some of the, uh, I mean, uh, exams, uh, where to evaluate the certain aspects, like, like, you know, how much they are able to.

Explain these topics busy understood to the the other people. I mean, so that is the second part. So the exams also will help. Then third thing is also it's about the the since these topics which I thought will directly will be a part of the practical sessions as well. So they're also we'll get an opportunity to understand how they.

Are, you know, uh, how they, how much they are clear with their, the fundamental concepts and either concepts are clear, they'll be able to do the experiments, uh, you know, by their own and in a creative way they can solve the problems. So ultimately.

Make them fit for solving certain problems in the particular domain which I'm teaching. I will evaluate this by giving certain assignments.

Which can directly, uh, help me to, uh, understand uh, how much, uh, they are, they learn the subjects and how, how much they are fit for, uh, solving the problems using these principles.

Uh for real world UH applications.

Thank you, Professor, for your comprehensive response. Your approach to fostering engagement through interactive sessions, case study presentations, exams, practical application, and assignments stands out for its thorough evaluation of student understanding. Let us now move to another skill verification area: your experience with student evaluation and exam duties. Can you describe the methods you've employed to design, administer, and grade assessments, ensuring fairness and alignment with course outcomes?

Yeah. Uh, so, uh, first, uh, the, uh, the way we do is basically to.

Break down, uh, the objectives of the course which I'm teaching.

So the courses, the course objectives will be clearly mentioned.

And the course outcomes also will be clearly mentioned, so.

So based on that the evaluation, the question for the sort of exams, the evaluation criteria will be created.

The selecting the questions to map these particular.

Selecting the.

Objectives. Then coming to particularly about the.

The exam related experiences.

So.

Uh, you know, I have, uh.

I mean, I, I worked and I also had opportunity to serve as the external examiners for some of the practical subjects like computer integrated manufacturing.

And I know the computer aided engineering drawing. So here there will be a you know, my approach used to be to evaluate apart from the you know, there will be the Viva was part of the exam as part of the exam. There will be Viagos as well. So it is a balanced system there. It's about.

The solving the questions.

For the problems is given in the papers and also particularly how better they are able to explain the method of method they adopted for problem or finding the solutions. So this way this is one way which I I I usually do my evaluation so the elements even if it is a theoretical exam. So my way will be to understand. How?

Uh, or the what approach they used to, uh, they used for, uh, solving this particular, uh, problem which I have, I'm sorry, I'm giving for the exam.

Thank you, Professor. I appreciate your thoughtful breakdown of aligning assessments with course objectives and outcomes, as well as emphasizing both problem-solving techniques and explanation during evaluations. For the next skill: your ability to guide student projects and research. Can you share your strategy for mentoring students through their research initiatives, ensuring rigor, originality, and alignment with the broader academic goals?

Uh, wonderful. So, uh, I always enjoy, uh, you know, mentoring my students and uh, you know, junior, uh.

Junior colleagues. So my experience is, you know, as a when I started working as an assistant professor, so I had the opportunity to become the student counselor.

Uh, basically it'll be a group of, uh, five to six students, so.

Uh, there for undergraduate level mostly my duty is to.

Support them.

More emotionally and motivate them uh to for studying and uh to.

Uh, continue their, you know, success and, uh, when it comes to, uh, the research based, uh, guiding and mentorship, it's all about, you know, uh, making them fit for, you know, taking up challenges and, uh, the, uh, to the way to break down the problems.

And. Solving this problem.

So that was to be my that you, uh, that is my focus while, uh, working with my.

In a structured way.

My PhD course scholars.

So I had the opportunity to guide and collaborate with the collaborate and guide some of the students. So the way I do is I, I, I, I don't, I mean, I usually help them to get oriented initially. So basically to make them understand the approach, how they need to approach a particular problem. So that is the first step I used to do.

Or the junior researchers?

So once that is done I'll help them to execute of these.

The plan which they made, I will help them to create the plan and also I'll help them I'll, I'll guide them to execute the plan. So and that's how you know my research guidance has progressing. It's also about motivating and.

Motivating the my students or I mean who are I'm guiding because keep them motivated is very important to succeed in that particular the task which you are doing.

Thank you, Professor. Your dedication to emotionally supporting students, orienting them towards structured problem-solving, and maintaining their motivation reflects your strong mentorship qualities. Next, on the topic of communication and structured teaching approach: How do you ensure clarity when explaining complex concepts, such as those in artificial intelligence or health informatics, to students or peers without technical expertise?

Yeah, so.

I'm, I'm, I'm, I'm not a expert in AI particularly. My expertise is not particularly AI, but you know, my expertise is most into medical device design and development and, and.

Materials especially and additive manufacturing. So, but however you know, I had the understanding, I have the understanding of how a can be used for these applications and.

Uh, and what's, uh, I'm also very, uh, particularly keeping a watch on, uh, the advancements on a especially related to healthcare.

So.

For example, now there is.

A artificial intelligence is widely used for even kidney dialysis related applications, so technology is improving in that side. How this a can be incorporated in the you know the.

Renal care and dialysis related dialysis machines especially. So breaking down the complex subjects is basically you know.

To impart the interest in the student that is for the primary in primary thing which the critical part of the any, any particular teaching. If they have the interest, then only they'll, they'll try to learn and give attention to the to what we are talking about. So that's a fundamental approach which I do and then you know, then I'll use in different tools. Basically it can be.

To you know.

A good images, videos and it can be some sort of stories.

It can be also in terms of the.

Kind of.

Thank

Doing by doing some experiments, so it can be anything and it's like.

We are doing something wrong and again, coming back to it and solving it, uh, learning it. That's how I'll, I'll, I'll try to, uh, I mean, uh, tease the complex subjects.

Thank you, Professor. Your approach emphasizes sparking curiosity, utilizing multimedia tools like images and videos, and hands-on experimentation—valuable strategies for simplifying complex concepts effectively. Now, let's confirm the next competency: Your research publications in reputed journals. Could you discuss a key publication of yours, highlighting its significance to the field and your method of contributing novel insights?

Yeah, of course. Uh, my, my major publications is into, uh, back composites and Aditi manufacturing and also into, uh, medical device development. And this is uh, a personalized medicine.

And personalized care. This is a really A and it really makes.

The impact is directly related to the personalized medicine, so of course that's the future of medicine.

And.

So that is how you know, my research is into, more into and I also collaborate a lot with.

People with interesting discipline interestingly backgrounds.

So.

Absolutely. Uh, so this is how the overall, uh.

You know, my research background is, so it's a connection between mechanical engineering, biologists, medical doctors.

And also into the engineers of different.

Backgrounds.

Thank you, Professor, for highlighting your interdisciplinary collaboration and focus on personalized medicine through biocomposites, additive manufacturing, and medical device innovation. For further verification, what is the impact factor or reception of your publications within relevant academic and professional circles?

Yeah, it's a, my publications are majorly, you know, focus on additive manufacturing and how additive manufacturing and you know, prototype development.

Can make impact in.

In the growing medical device.

And tissue engineering research.

That's a primary focus of mine.

So, for example, uh, my one of the publication on about uh, RTG manufacturing for personalized medical device a material.

Uh, my material, uh, technical technique, material and medical condition perspective. So it was Co written with the with, with the people from different background, so.

There are people from biomaterial side, there are people, I mean like me, whose expertise in ideal manufacturing also.

I had a coauthor. She is a medical doctor.

So in this way we were trying to address the problems from real clinical problems and how these real clinical problems can be.

Can be solved.

Potential solutions can be proposed by researchers. With a group of researchers from in the display background, that is one thing. Also I I would also take happy to take another mention another thing.

About designing microbioreactive dependent microbiology bioreactors for dynamic culture of dynamic cell culturing or culturing of 3D printed constructs. So this is also in a highly it's also high in demand now and it's there we need precise fabrication also we need.

Kind of the in vivo body conditions in the bioreactor systems in microscale so.

Also, at the same time, Aditya Manufacturing gives you the freedom to create.

Create multiple prototypes in short time. Also to. It's also helps to create complex devices. In your In our lab itself.

So this is one of the problem which we are trying to solve right now and we have published a paper recently in.

It's about it's about the glomerular filtration related bioreactor.

Thank you, Professor. Your publications on personalized medical devices using additive manufacturing and dynamic microbioreactor designs for tissue engineering clearly demonstrate impactful interdisciplinary research and innovation. Lastly, let us verify your experience in industry projects or consultancy. Can you share any notable collaborations or projects where you leveraged your expertise to address real-world challenges, particularly in healthcare or engineering domains?

Yeah, yeah. So I worked on.

Time is up!