Hello.

Hello. Please start by introducing your professional journey in academia.

Hello, can you hear me? My voice is clear.

Yes, I can hear you clearly. Please go ahead and introduce your professional journey in academia.

Yeah, OK. Uh, I'm Doctor Priyanka. I complete and my PhD. From Department of Computer Science. Peria University. In the March month. 2025.

So your PhD was just completed earlier this year. When you step into a classroom for the first session of a new course, what's the one foundational concept or practical method you most look forward to teaching, and why?

And my research area. Including. Uh, mobile computing. Machine learning. Data analytics. Data mining.

And database management system.

Okay, so your research covers mobile computing, machine learning, data analytics, and data mining. When you teach a foundational course in one of these areas, what's a specific concept or hands-on activity you find most effective for helping students grasp the basics?

Okay, so you've worked across mobile computing, machine learning, data analytics, and databases. When you teach an introductory database management course, what's a specific concept or classroom demonstration you most enjoy using to help students really grasp the basics?

I have published. 7 research papers. So far including. SEI, Scopus. And some of. Peer reviewed journals.

You mentioned publishing seven research papers, including in SEI and Scopus-indexed journals. Can you pick one of those papers and walk me through how you would introduce its core idea to undergraduate students who may not have a research background?

Uh, I have presented 3rd. 4 research papers in international conferences.

So you've published seven research papers, some in Scopus and SEI-indexed journals, and presented at several international conferences. Pick one specific paper—maybe the one you felt had the biggest impact—and explain how you'd break down its core idea for an undergraduate class seeing the topic for the first time.

I talked to the subject. Uh, to the PG students. While pursuing PhD. Including design and analysis of algorithm. Machine learning. Mobile computing. Network security and cryptography. And presently I'm seeking assistant professor vacancy. Add Willow Institute of. Thank you.

You mentioned teaching network security and cryptography to postgraduates while pursuing your PhD. How did you adapt your classroom approach to make advanced topics like cryptography accessible to students who might not have had a strong math background?

So we have to go with the the. More practical sessions. Uh, like simulations? Based on the. Practical sessions. As students can understand. The cryptography technology. Uh, because cryptography is. Very complex subject. To learn. So hands on training. And conducting seminars. And giving a real time examples to the students. Will definitely helps you. To understand understand the. Network security. And cryptography subject.

So you rely a lot on hands-on exercises and real-time examples to make tough concepts stick, especially in cryptography. When you think back to your own research in mobile computing and machine learning, can you give me a concrete example of how you brought a research insight directly into a classroom lesson for your students?

Yeah, but uh research based teaching will definitely helps the student to unders. Stand a real time thing because most of the research problems are real time problems. When we give the hands on training. Like NS 3 based simulation and Python based hands-on training. To the students. They will definitely. Understand the resource. Research based. Concepts like simulating. Networking technologies like uh, uh. 3G technology like 4G technology and automated driver assistance system and Internet. Things and. So like these things, we can give a hand. Sometime training. Industry network simulator. Are any other simulator? Students can understand their research based topics.

Given your research background in mobile computing and machine learning, where do you see the most fundable research directions over the next three years? What kinds of grants or external funding would you pursue to build a sustainable research group?

To my research background. From mobile computing and machine learning becomes. I proposed 3 contributions to. The first one is. Handover. Management. Based on proactive decision making. The second contribution is network slicing. To create a virtual network and. 3rd contribution is. Beam steering technique to steer the signal into a. Specific direction only. So combining these three methodologies. I'm seeking a good. Funding. Agencies, uh. And proposing. Proposing a new technologies like. Federated Learning and. Blockchain integration to. These three contributions will definitely. Receive the funds. My hope.

Alright, switching gears to your teaching. You’ve taught subjects like design and analysis of algorithms, machine learning, and mobile computing. Suppose you’re assigned a large introductory course—let’s say 200 students—and you’re not allowed to use slides. How would you structure a session to keep those students actively engaged?

So I always use a bottom up. Approach like first I will explain the. Examples the real time. Examples. First I will explain the examples based on the examples. I will explain the concepts and syntaxes. So this. Uh teaching methodology, a student can understand the concepts. So they first while explaining the examples. We must provide a hands on training. So based on that hands-on training. Students can understand the concepts. After that, we can explain the concepts to the students.

Alright, so you'd anchor the session around real-world examples and hands-on work before diving into concepts. How do you actually check, during a session, if those 200 students are genuinely engaging and not just passively following along?

So in this kind of situations. Uh, I'll ask the. Help to the senior faculty members. Based on the their guidance. I will work. Because I'm not uh. Experienced person. I'm I'm not fresh. So I need a help. From the senior faculties to handle this kind of situations.

Alright, Professor, let's shift focus a bit. 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?

So I don't understand your questions. Can you repeat it once more?

Sure, I'll repeat it. If you joined our department and saw that outcome assessment data—like how we measure and track student learning—was inconsistent across different courses, what steps would you take to fix that?

So based on the. Frequent cycle test. Uh, when we planned, when we planned a cycle test, uh, to assist the student based on the score they obtained. We can track the students, we can track the knowledge they have gained. When we give some hands on examples. Hands-on training to the students. We can assist the performance of. Students based on that, we can. Find that how they gain knowledge from the. Teaching.

Let's shift to a scenario involving professional ethics, Professor. Imagine a student files a formal complaint saying your grading is biased, while at the same time your department head is pressuring you to improve pass rates. How would you handle that situation?

So this is something critical situation. So handle the situation we must be in a. Experienced person.

So I will definitely ask. Claire help from the experienced person. And I will ask the guidance to the senior faculties to how to handle these situations.

Alright, Professor, with your background in mobile computing and AI, do you have industry connections that could help students with internships or placements? Have you worked with any companies or brought real-world projects into your teaching?

Okay, let’s touch on a few key skills for this role. Starting with your expertise in multimedia or AI in media—can you give a specific example of a project or research where you applied AI techniques to solve a media-related problem?

Should the media related problem means what kind of problems you are mentioning? What kind of media related problem like uh live streaming are in healthcare? Uh.

Right, so by media-related problems, I mean anything involving images, video, audio, or digital content—like automating video tagging, improving live streaming quality, or using AI for media security. Have you ever applied machine learning or AI to something like image processing or video analysis in your research?

Show my research is focus. Data analytics. Which is a numerical. Categorical data. I didn't work with the. Image. Live stream data. I didn't. In future I will learn. If the institution needs.

Thanks for clarifying that your experience is mainly with numerical and categorical data analytics. Can you walk me through a project where you applied machine learning to analyze complex datasets—maybe something with temporal or high-dimensional data—and explain your role in it?

So I applied machine Lear. Turning to the. Network play tasks uh. Mobile in in mobile computing. While the. Moving from UH-1. Place to another place. There is a chance of network degradation. So to solve this degradation. I proposed A methodology like Proactive Decision making methodology. In that methodology I've used a regression based method which is polynomial regression. So I collect. And numerical data from that. Uses umm. Applying regression method called polynomial regression in Prop. Condition making methodology. The methodology proposes the decision based on the numerical data. So that is what I did in my research.

So you used polynomial regression for proactive decision making to address network degradation during mobility in mobile computing—makes sense. Shifting to student evaluation, Professor, what’s your typical approach for handling exam duties and grading, especially when there’s a large volume of students and the risk of inconsistencies?

Setting the priority. And ensuring the timely completeness is. Uh, important in every kind of situation in and in every kind of organization. File set a priority. Based on the priority I'll work. And I'll definitely come. Delete my work in. Given time frame.

Right, so you’re emphasizing prioritization and meeting deadlines for grading—understood. When it comes to guiding student projects or research, what’s your strategy to ensure students are developing original ideas and not just repeating previous work?

So to ensure the original work. We have to search with the. Uh, many projects. We have to search many projects in the websites. Uh, in a research papers, what are all the kind of works are there? And how to improve the basic? And how to create a novel? So we have to learn more things from from the websites or from the projects. From the past students. So ensuring the novelty is important. So I'll definitely guide students based on that.

You’re saying you’d guide students to review existing projects and past research to identify what’s already been done, and then focus on pushing for novelty—solid. Shifting to communication and teaching, can you give me an example of how you structure a lecture or lab session to keep things clear and organized for a large class?

So, uh, I already. Told that I will. Always user bot. System of approach like. 1st I'll explain the. Example. Based on the text example. I will move to the concerts like. So if I want to teach them. Polymorphism. In the whoops concept. First I will. Explain the example like. When we go for the payment option. In any kind of purchase. We have a nob. Questions like. Pay by cash. SRP by card. I'll pay by method. So this is what a basic example. For polymorphism. Like having. Uh, same method, but different behavior. So everything's like. That. To the students. To understand the concepts.

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

No, nothing. I don't want to ask anything.

Alright, thanks for letting me know. Really appreciated the conversation. Have a great day! Thanks for your time today, A. Really appreciated the conversation. Have a great day!