Yes, good evening.

Please start by introducing your professional journey in academia.

Yeah, my name is. At Varun Kumar I completed my. In 99, then thereafter I. Joined in software company.

For a brief duration of sailor. Eight months. Run AAI G. Job to give to some reason due to.

Understood. When you first began teaching, which course or subject did you feel most confident presenting to students, and what about that subject appealed to you as an educator?

Way to K problem. Then I wanted to join in a circle company. I then joined in.

Thank you for sharing your background. Your recent publication on robust image steganography using deep learning caught my attention. Could you explain how you would incorporate concepts from that research into a graduate-level classroom setting?

I see. When you were working in industry before returning to academia, did you find that any specific practical challenges directly influenced the way you later approached teaching technical concepts?

Yes, I work in the. Domain of.

Then in that I learned what is the meaning of.

Thank you for sharing those insights. Now, Professor, looking ahead, what is your three-year research roadmap, and how do you plan to ensure your work both advances scholarly impact and attracts sustainable external funding?

Understood. Based on your experience, when guiding student projects—especially those involving emerging technologies—how do you ensure these projects reach successful completion while maintaining academic rigor?

10 pages. What is the meaning of using the HTML and?

You mentioned learning about HTML during your industry experience—how did you later translate that practical knowledge into a teaching module or classroom demonstration when you began instructing students?

Then I learned.

You mentioned learning about HTML in your industry experience—when you later began teaching, can you give a concrete example of how you designed a student assignment or project that leveraged those practical HTML skills to bridge theory and application?

Instead of being in the industry. Let us know the exchange industry so that. We can explain the. Concepts to the students and. Make the. Student industry ready?

Understood. When you shifted your focus to helping students become industry ready, can you give a specific example of a curriculum change or classroom exercise you introduced to bridge the gap between academic theory and practical industry skills?

When I was going both. Vithak as well as Impact. The practical courses were there. But on 3rd time. I thought that. That practical? Was not aligned.

Towards the usage of. Technology in the industry.

You mentioned noticing that practical courses weren't well aligned—what specific adjustments did you propose or implement to ensure the practical components better matched current industry standards?

Right. When you updated the practical components to better reflect technology usage in industry, how did you measure whether these changes actually improved your students' job readiness or skill acquisition?

Yes, water.

Understood. Let’s shift to your research agenda—could you outline your three-year research roadmap, specifically highlighting how you plan to secure external funding and ensure your projects remain relevant to emerging trends in multimedia or AI in media?

PC, whatever the technology. It may be the Java technology or Python technology.

Are open source. I am teaching these courses even though I. Marathon designed these courses. By marital option to design these courses. But I have given my suggestion to the team that decide the courses. And accordingly, I have taught the latest technology. Like Python And full site development. So these courses were aligned with the industry and the students are learning this. And I am happy to be the part of this learning environment.

Okay. Now, Professor, could you share an example of a student project you have guided that aligns with emerging technologies, and describe the steps you took to ensure its successful completion?

You mentioned suggesting updates for courses to keep them aligned with industry trends; can you provide a specific example of how you assessed whether the updated course content led to measurable improvements in student placement or external recognition?

I have.

Neva seizure and as well as.

Let's turn to teaching strategy. Imagine you are assigned a large introductory course where slides and traditional lectures are discouraged. How would you implement an active learning model—such as a flipped classroom or peer instruction—for this course, ensuring deep student engagement and mastery of the material?

Thank you for sharing that. Now, could you describe a systematic approach you would take to improve the department’s research output per faculty, specifically to help meet or exceed accreditation benchmarks?

I constantly. And learn. What technology they use? And accordingly I tried to. Adaptive technology Learn the technology. Let's see, in the same sense I have. Suggested that these courses. Being used in the industry and. I have suggested these to the. Closer Who is going to Bora studies?

And they can. Suggest these modifications. In the syllabus.

Let’s discuss professional ethics. Imagine you are accused of grading a student unfairly, and the administration is pressuring you to adjust marks to meet the university’s pass-percentage targets, even though you believe your original grading was accurate. How would you approach this situation?

I see you’re in regular contact with industry professionals to keep course content relevant; can you give a concrete example of a specific technology or tool you introduced to your syllabus based on this feedback, and how you incorporated it into your teaching?

Escorts I have suggested and based on my suggestion. These courses are being. Designed in the Board of Study center. But I have given given my input. Full stack are being used nowadays. In the course. In the course means in the curricula. This and the Python. Python means. But nowadays that Python are also integrated. Into the. Courses where that is taught in the first year itself.

In the previous years. It was. Start in the third years or five years process. But in my university. It was start in. 473.

Thank you for clarifying your involvement with the curriculum updates. When you advocated for integrating Python and full stack technologies into the first-year syllabus, what resistance or challenges did you encounter from colleagues or administration, and how did you address them?

Understood. When you moved Python instruction to the first year, what impact did you notice on students’ ability to take on advanced or industry-relevant projects in later years?

Programs are nowadays interested in doing machine learning as well as deep plan.

You noted increased student interest in machine learning and deep learning after introducing Python early; can you describe one student project that resulted from this change and how you ensured its successful completion?

For interpreting the concept of machine learning. And provides. How many packages are frameworks? By learning the core concepts or basic concepts in Python. As well as the frameworks. Packages available by the. Students are able to do the current.

You noted increased student interest in machine learning and deep learning after introducing Python early; can you describe one student project that resulted from this change and how you ensured its successful completion?

And redo the practice. Accordingly.

You mentioned students are now able to pursue current domains effectively; can you describe a challenge you faced ensuring fair evaluation when assessing these diverse, advanced student projects?

Yes, some of the difficulty I faced.

Right. When you encountered difficulties ensuring fair evaluation, can you describe a specific instance where a student's grade was questioned, and how you addressed both the student's concerns and any institutional expectations or targets?

There if I **** the student say they have to be run. If I learn some new technology. And if I give that. Into the students. The difference is there in the learning curve between. Myself and the young minds, that means students.

You noted the difference in learning curves when introducing new technologies—can you describe an instance where an allegation of grading bias was made due to these differences, and how you balanced institutional pass-percentage goals with upholding academic integrity?

Are most of the times I have encountered encountered that? These are all things to me and I have two. Keep aligned with them.

Given these challenges, can you walk me through how you would handle a situation where a student accuses you of grading bias, especially if their claim conflicts with the university's goal to maintain a certain pass percentage?

I don't say that students criticize me for that. A fair evaluation.

Let's shift focus slightly. Professor, could you outline a specific strategy you would use to leverage your network of industry contacts to create meaningful internship or employment opportunities for students in your department?

Create some problem while he evaluating.

The brothers.

And other forces.

Understood. Earlier you mentioned needing to stay aligned with students as they bring new tools and frameworks into their projects; can you provide an example of a time you had to quickly learn a new technology to fairly evaluate a student’s work?

You mentioned sometimes encountering unfamiliar tools in student projects—can you describe a recent situation where you had to quickly learn a new package or framework in order to fairly assess a student's work?

10 days back.

You said this happened 10 days ago—what specific steps did you take to evaluate the student's project once you realized you weren't familiar with the new package they used?

I evaluated the project.

What was the new package or framework you encountered during that evaluation, and how did you verify its relevance and effectiveness in the student's project?

Yes, later I.

Alright. What criteria did you use to determine whether the student's application of the new package was technically sound and met your course objectives?

Now admitted to collect. What new concepts I learned now? But uh.

Yeah, some one month back.

Understood. When you encounter a new technology during project evaluation, what is your approach for quickly determining whether a student's implementation is both correct and meets the expected learning outcomes?

Alright. When evaluating student projects that use unfamiliar tools, how do you decide whether to adapt your assessment criteria or maintain the original standards?

Yes, I. Recently came to know about the.

Yes, I. Recently came to know about the.

Some one month before and all. I don't know what is the meaning of. Digital Philippines is it?

Alright. When you encounter a new concept during student project evaluations, how do you ensure your assessment is both fair and aligned with current academic standards?

Alright. When you first encounter a new concept or tool in a student project, what is your immediate process for checking its documentation and comparing it to established methods before making your assessment?

Understood. Since you mentioned encountering new concepts like "Digital Philippines," how do you approach independently researching and verifying the academic credibility of such topics before incorporating them into your course or evaluating student work?

Yes, I referred. Here biological. Model that can be created using the machine learning or deep learning. And that is trained based on the health data.

Got it. When creating a biological model using machine learning or deep learning as you described, what steps do you take to ensure the health data used for training is reliable and ethically sourced?

Once the model is trained.

Once your biological model is trained on health data, how do you evaluate its performance and ensure the results are interpretable for students during your teaching?

Yes, based on their data sets only.

Okay. Can you describe a time when you guided students through interpreting machine learning model results, especially if their results were unexpected or counterintuitive?

Ghazals may contain some thousands or. Millions of records.

You mentioned handling datasets with millions of records—when working with such large health datasets, what specific techniques do you use to ensure the model remains efficient and that students can still follow your teaching demonstrations?

Start.

You mentioned analyzing real-time patient history as a lesson—can you give a concrete example of how you guided students to critically assess model predictions against actual patient outcomes?

Yes, students. Tell me the newshour to learn, uh, new things. But there may not be a. Downloading the. Current paper. Are they available in the literature? Once a new concept is. Recounted by ER Judgbui. When I will open cases the Google Scholar or? The focus spaces are other research paper. That silence may not be knowing this. So in that case I will. Let the student go through the Google Scholar websites for downloading that. Latest racer. And using that. Uh, I think that I am. Training the students.

Right. When you direct students to use Google Scholar or similar platforms to find the latest research, how do you ensure they critically evaluate the credibility and relevance of the papers they select?

To enhance their. Knowledge that they have already played. I students only I'm learning some of the concepts. And once the concept is. Encountered by me. I will go through the.

That song.

Understood. When you personally encounter a new research paper or concept through platforms like Google Scholar, what criteria do you use to determine if it should be incorporated into your course syllabus?

Okay. When you direct students to use recent research articles to enhance their knowledge, how do you assess whether they've successfully integrated those new concepts into their project work or presentations?

In that.

You mentioned you learn alongside your students when encountering new concepts—can you share a specific instance where this approach led to a valuable classroom discussion or breakthrough in understanding?

I'm not able to understand.

Please repeat the question.

No problem. Earlier you mentioned using real-time patient history to help students learn—when guiding students through interpreting those results, what strategies do you use to help them understand the limitations and possible biases in the data?

No problem. You mentioned learning new concepts alongside your students—can you describe a time when this led to a new project or change in your teaching method?

I have. Changed by teaching methodology based on the students. Performance as well as.

Understood. You mentioned changing your teaching methodology based on student performance—can you give a concrete example of a specific adjustment you made and what prompted that change?

Senjai made.

That's fine. Earlier you mentioned evaluating students through their project work—can you describe your approach to student evaluation and any tools or methods you use to ensure fairness?

Students will be presenting.

Presenting is one part—how do you ensure your evaluation covers both the depth of understanding and the ability to communicate findings clearly during these presentations?

And before. Students going to present, I will be explaining them. What are the metrics? If the proper literature. Review is performed. And if the methodology is novel? If the presentation is. Nice if more than one student sees there in the group. But if all the students are. Given the equal contribution like that, some metrics. Will be delivered to the students. So based on the metrics, the students will also prefer. And based on the. Share the metric only I will be assessing. That means if literature survey I am. Suggesting some 5 marks about 20 means. Then they will be going and I will assess if they have gone through the literature. Or not if the methodology is novel. And based on the. Google Scholar and any other thing based on that I'm.

You mentioned assigning specific marks for literature review and methodology—how do you handle situations where students disagree with the marks they received for these components?

Yes, we will encounter such a situations.

Where we will be giving, we will be awarding some marks.

Got it. When marking group projects, how do you verify that each student made an equal contribution, especially if their roles or work styles differ?

Students may raise concern.

Got it. When marking group projects, how do you verify that each student made an equal contribution, especially if their roles or work styles differ?

Understood. Shifting focus, can you describe your experience guiding student research projects—specifically, how do you help students refine a broad research idea into a focused, feasible project?

Minute give a drastic feedback. But they may ask us.

What? Make them to gain more mass. In that case we have.

Understood. When students raise concerns or dispute marks, how do you document and communicate your evaluation process to maintain transparency and avoid escalation?

Okay. Earlier, you mentioned using metrics and literature reviews in your assessment—how do you guide students to improve their research methodology if their initial approach is not novel or lacks depth?

Given some suggestions. How the? Metric R Assess. How the presentation or the things? Can be there.

Right. When you provide suggestions to students on improving their presentations or research methods, can you share a specific instance where this feedback led to a noticeable improvement in a student's work?

Based on the studentsville. And may present. Nicely in the subsequent reviews.

Understood. Shifting focus, can you discuss an example where you guided a student project or research effort from an initial broad idea to a well-defined, feasible topic?

Now why unafraid student is weighing?

I see. When a student is hesitant or unsure about narrowing their research topic, what strategies do you use to help them gain confidence and choose a direction?

Research in biomedical. In that. I have suggested. To incorporate more than. Only kind of input. To the border.

I see. When you advised the biomedical research student to incorporate more diverse inputs, what specific sources or data types did you recommend, and how did you help them evaluate which were most relevant?

Image may be given as a. Input into the model for. Training as well as. Testing. Now one of the student is doing. How two kinds of input or data? Both image as well as vice data. That is a good kind of, uh.

When you encouraged the student to use both image and voice data in their biomedical project, how did you help them design the methodology to handle and integrate these two different data types effectively?

Upgradation. I have specified based on the literature. And like that. Other student please. Creating model. By combining. Uh, city images. As well as uh. Other medical reports based on that. How the model can be trained? We call them.

Multi model. We call that that concept is multimodal. And I. Teaching the students what is the meaning of. Model and how it can be? Confirmed and how it may increase the. Level of prediction.

You described combining different types of medical data for model training—how do you guide students to assess the strengths and limitations of each data type when refining their research approach?

When teaching students about designing multimodal models, how do you help them determine whether adding more data types will actually improve the accuracy or just add complexity?

More than one kind of data is.

Right. When you teach students about building multimodal models, how do you help them evaluate the quality and relevance of each data source before integrating it into their research?

Quality.

Understood. When students select their data sources for a multimodal project, what kind of criteria or checklist do you provide to help them judge if a particular dataset is reliable and appropriate for their specific research question?

For each domain. If it is some. Technography or photography? Some metrics will be there like if it is a cryptography and stagnantography means. Some similarity between? The original data and modified data. Some metrics will be the predefined. Metric will be there. If it is deep machine learning model. Uh, metrics like, uh. Precision, accuracy, F1 scores, maybe the metric? And based on these metrics value. The projects uh. If efficiency may be assisted.

That tracks. When you guide students in evaluating these predefined metrics for their projects, how do you ensure they actually understand the implications of each metric rather than just reporting the numbers?

The students may understand. If the accuracy of predicting the next disease is proper or. Based on that. Suratman.

Miller.

Okay. When students misunderstand or misinterpret a metric’s meaning—like accuracy versus F1 score—how do you address and correct their misconception in your teaching?

Okay. You mentioned students may tune models and learn from metric values—can you give a specific example where a student misunderstood what a high precision versus a high recall actually meant for their biomedical prediction project, and how you clarified that for them?

Don't think I have.

Fair enough. Can you describe a time when your students presented their research findings, and how you assessed both the clarity of their presentation and their ability to answer critical questions?

Once the students are. Confident in their.

Once the students are confident in their findings, how do you evaluate the strength of their literature review section to ensure it supports their research claims effectively?

Projects. And if the students have performed everything on their own. Then we will come to know. In their level of confidence itself. How confident they speak. Once the level. Confidence is more. Once students are able to. Explain. The code for. Model art presentation without any disturbance. Then somehow we may assess that if they have done properly or not. This may be the one of the methodology. Uh, methods. Are some pedagogy for? Learning if they have done. Truly our biggest nowadays. Many students have used. ChatGPT or.

Downloading the. Code from the. Portal available.

Understood. Since you mentioned concerns about students relying on tools like ChatGPT for their work, how do you differentiate between original student effort and content generated by such tools when evaluating their projects?

Given that students sometimes download code from online portals, how do you specifically identify and address cases where the submitted work might not reflect the student's own understanding or effort?

Yes, the level of confidence level will differentiate whether the students have done all the coding. Are not, but we may not see the. Uh, presentation itself.

Right. When you suspect a student’s presentation does not fully reflect their own coding or research, what steps do you take after the presentation to verify their actual understanding of the work?

Both the students who have downloaded the. Code for the net and the students. Have done everything on their own, Sometimes may. Give the similar presentation. But once we ask students to show. What? Methodology and where it is implemented in terms of. Coding means. Once they have. What is the student have performed? And their own everything. Will be in a position to open the editor. And show the code. And if you ask. They will be able to modify. Good. And again rewind the. Once the students. Simply have downloaded the code from the net. R portal or CGBT? They might have gone through the.

That approach makes sense. When you ask students to modify or rerun code during a review, what specific types of changes do you typically request to test whether they genuinely understand the implementation?

But if you. Ask the students to do some modification means. The students who have done the code may be able to. Do the modification immediately. Then the students who have downloaded the code. And. Just simply gone through. Based on that, we may. Do the assessment.

That approach makes sense. When you ask students to modify or rerun code during a review, what specific types of changes do you typically request to test whether they genuinely understand the implementation?

Yes, students.

Understood. Earlier, you mentioned evaluating students’ work on industry projects—can you give an example of a consultancy or industry collaboration you supervised, and how you ensured students connected their academic learning with real-world application?

Some of the attributes.

You may be pending or may not have used. If you ask them if that kind of attributes are used in your model. What?

You mentioned students sometimes use only some of the dataset attributes—can you share an example where you asked a student to justify their attribute selection, and how you evaluated whether their reasoning was sound?

If you discover a student has not considered certain dataset attributes in their model, how do you guide them to critically assess the impact of those omitted features on their project’s results?

Changes the accuracy or precision. Makes the changes.

I have requested.

Right. When you ask students to test the effect of including or excluding certain attributes from their dataset, what reasoning or explanation do you expect from them regarding changes in accuracy or precision?

Understood. When you ask students to modify their code to include or exclude certain dataset attributes, what kind of reasoning or analysis do you expect from them when they explain how these changes affect model accuracy or precision?

I I will ask students to modify. Only to learn if. They have done on their own. I just have downloaded and. If they have just gone through the. For assessing that I. Will ask the students to modify.

Right. Switching gears, can you describe your approach for evaluating student performance during exams—specifically, what criteria or rubrics do you use to ensure fairness and consistency?

While evaluating the theory courses.

Okay. When assessing practical lab exams, what specific steps do you take to verify that a student genuinely understands the experimental process rather than just memorizing procedures?

Pushing bit uh. The experimentation. May not be taken from the lab manual directly.

You mentioned that experimentation may not always come directly from the lab manual—can you give a specific example of how you design or select practical tasks to truly test a student's conceptual understanding in the lab?

The concepts will be used. And the scenario based will be given. That scenario. May not be practiced in. In the normal laboratory courses. And the scenario. Maybe new to the students also. The solutions have to.

Understand what is the scenario. And based on the scenario, the students have to. Create.

You mentioned giving students scenario-based tasks that are new to them—can you share an example of a recent scenario you used in a practical exam and explain how you evaluated student responses to it?

Can you describe how you assess whether students' solutions to these new scenarios demonstrate not just correct results, but also a clear understanding of the underlying concepts?

And the students will be taught the. Concepts of cloud usage. And the students will be taught. The usage of. IoT devices.

And basic concepts they will be loading. Uh, basic concepts they will be learning. And once the E.

You noted teaching both cloud concepts and IoT device usage—when evaluating students' project work in these areas, what kinds of mistakes or misconceptions do you most frequently observe, and how do you address them during assessment?

When you introduce new technologies like cloud or IoT in your courses, what strategies do you use to help students connect these technical concepts to real-world applications in their projects?

Are the medical ivoty? The concepts will be learned. And the scenario. All students will be. Ask to explain how some particular. Chips with Raspberry can be used. Or any other uh may be used are 32. Will be used for a similar scenario and the students may compare. The usage of this these two and later they can. Then how I voted devices? What are the IoT devices available and how it can be used? So that the it's computing our cloud computing arrivity.

Are used in the current.

You mentioned students comparing devices like Raspberry Pi and ESP32 for IoT scenarios—when guiding these comparisons, what criteria do you ask students to focus on to ensure they make a meaningful technical evaluation rather than just listing features?

You referenced various IoT devices and cloud computing in e-farming and medical scenarios—when students propose using different hardware like Raspberry Pi versus ESP32, what specific technical justification do you expect them to provide for their choice in a project context?

Yes, we have to suggest that once a year. Fermentation is done. Students sometimes may buy the. Electronic items.

Understood. When students purchase electronic components for their projects, how do you evaluate whether their choices are cost-effective and technically appropriate for the intended application?

Who demonstrates? We have to assess them. If.

Understood. When students purchase electronic components for their projects, how do you evaluate whether their choices are cost-effective and technically appropriate for the intended application?

The the equipments that. They have bought. Are cheaper one. Because. If it is costly. If Raspberry Pi is used.

For building some models. It may not be cheaper. If it is not. Cheaper means then it may not be converted into the.

Understood. When assessing a student's selection of lower-cost equipment for a project, how do you ensure that they also meet the technical requirements and learning objectives, not just budget constraints?

When students select less expensive components for their projects, how do you guide them to balance cost with the need for reliability and scalability in a real-world deployment?

Mark this as.

Understood. When students justify using a lower-cost microcontroller like ESP32 for a project instead of Raspberry Pi, what level of detail do you expect in their technical and market rationale during their presentation?

Using some pattern. This model can be. Built into a Marathon model. So that. It will be. Both profitable.

And at the same time. Pat Trending and the Founder project may also be applied. This may be. Share with us the. Assessment.

Understood. When students present a project model intended for commercial viability, what criteria do you use to assess whether their design could realistically be scaled and maintained as a profitable product?

Even though the. Project R assessed again again some.

You mentioned evaluating whether a project could be scaled into a profitable, market-ready model—what factors do you ask students to analyze or document to demonstrate the feasibility and sustainability of their proposed solution?

Understood. When students present projects that aim to be both profitable and patentable, what specific aspects of their design and documentation do you expect them to address to demonstrate true commercial and intellectual property potential?

Then and the.

Right. When you assess student projects using predefined metrics like recall or similarity measures, how do you ensure students can clearly interpret and communicate what those metrics actually reveal about their system’s effectiveness?

Sips are items. Can also be used. May also be. SST.

You mentioned that cost measurement is one of the metrics in your project assessment—can you give an example of how you guide students to balance technical ambition with budget constraints when designing their prototypes?

Apart from the predefined metrics. And the implement implementable item may also be. Explain.

Understood. When you ask students to justify their selection of hardware based on both cost and potential for commercialization, how do you evaluate whether they've considered not only the technical feasibility but also the competitive landscape and possible patent issues in their assessment?

I can ask them. If these kind of, uh devices are used. What may be? More if internal security. Uh, any other things that may also be assessed and that? Will also be. Talk to the students.

Right, so when you encourage students to research and compare multiple hardware options before selecting one for their projects, how do you ensure they are considering not just features and price, but also security implications and long-term maintenance requirements in their analysis?