Yes, we can proceed.

Please start by introducing your professional journey in academia.

OK. So I am doctor. SRU Jyothi I'm currently working as.

Assistant professor in selection grade in the Department of Computer Science and Engineering.

Alright, Professor. What’s one foundational concept in your discipline that you especially enjoy teaching to undergraduates—and why does it resonate with you?

At PhD College of Technology.

Thanks for clarifying, Professor. When you teach core computer science concepts, do you have a favorite way of making complex ideas—like recursion or algorithm analysis—more approachable for your students?

I have 14 plus years of in teaching. I'll research a work.

Okay, so you’re currently an Assistant Professor in Computer Science and Engineering at College of Technology. What’s one topic or lab exercise you find students struggle with most, and how do you help them get past that hurdle?

Okay, so you've spent over 14 years teaching and doing research as an Assistant Professor in Computer Science and Engineering. What initially drew you toward academia instead of pursuing a full-time industry path?

Currently I'm handling.

Alright, Professor, you were about to tell me what you're currently handling. Can you share which specific courses or labs you’re teaching this semester, and what you enjoy most about teaching them?

Core courses in AI. Machine learning. Natural language processing operating systems for. Both UG and PG students.

I have done my research in the area of. Improving data accuracy. In wireless sensor networks. Which covers data analytics. Using deep learning. And machine learning movies. I have proposed. 3 approaches in my research areas, out of which two works has been published in a. Reputed journalist which is under. Q2 Journal.

Alright, so you’re teaching AI, machine learning, NLP, and operating systems to both undergrads and postgrads. Out of those, which topic do you find sparks the most curiosity or engagement among your students—and why do you think that is?

And also it has an impact factor of 2.6 and 4.3.

So you’ve published work in Q2 journals on improving data accuracy in wireless sensor networks using deep learning — that’s a solid research trajectory. When you’re teaching advanced topics like AI or NLP, do you prefer to focus on building conceptual understanding first, or do you lead with hands-on labs to get students engaged?

Publishing in Q2 journals with solid impact factors definitely demonstrates rigor in your research, Professor. Before we shift gears, how do you translate those research insights on data accuracy or deep learning into your classroom teaching—can you give a concrete example of a concept or assignment where students directly benefit from your work?

Which is also indexed in Sci-e and Web of Science. And currently I'm focusing on. Current incorporating current trends in my research area. Uh, like, uh, adding uh, generative AI and uh. Other AGI techniques for my research Ltd. Upgradations.

Right, Professor, you've clearly been active in research and updating your work with current trends like generative AI. Before we move forward, tell me—when you're teaching a core lab, how do you balance hands-on experimentation with making sure your students understand the theory behind the tools they're using?

Umm, students to the students and they are, they have done projects in there. And in my teaching career, I have incorporated many. Uh, AI techniques and the technology related tools used for teaching. Like ICT, modern pedagogy techniques like Flip flip. Flip the classrooms.

Alright, Professor, you mentioned using modern pedagogy like flipped classrooms and ICT tools. Can you give a concrete example of how you used one of these methods to teach a complex concept in AI or machine learning?

And a based evaluations, assignments, business projects related to my courses. And also if the projects are interdisciplinary projects related to the goals. I will also encourage the students to move. I'll publish it as a patent. Apply for a patent. Or published as a paper in a reputed journals. And also regarding. Other projects or other technologies. Or in improving the coding skills. I will be encouraging them to do projects related to the concepts I teach in the courses. And I will ask him to attend hackathons coding contest. Whichever is applicable for that particular concept.

Right, you’ve clearly incorporated a lot of modern approaches in your teaching and guided students toward practical applications—like hackathons, interdisciplinary projects, and even patents. Thinking back, is there a particular student project you mentored that really stood out to you, either for its creativity or the challenges it presented?

And related to administrative works. I have organized more, uh, two or more international conferences, national conferences. And also faculty development programs. And one credit courses for the students. And. Also in that case, uh. I have a. I acted as jury member in project presentations. Conducted by AI to please student chapter and ISTE student chapter. And I have been part in. Uh, coordinating in the. NVA acquisition committee. Also ISO audit committee. And I have been a part in contributing to the curriculum design. An establishing law facilities. Currently I'm focusing on cognitive enabling cognitive computing lab for the students.

To use higher level research projects. Related to interdisciplinary. Uh, mostly on AGI.

That’s quite comprehensive, Professor. You mentioned you’re currently working on establishing a cognitive computing lab. What’s your vision for how this lab will enhance student learning or research opportunities?

And next thing and also I have I'm planning to apply for patents currently for two projects. Which is an interdisciplinary project. Uh, for visioning. And also energy project. And I have communicated currently 3. The papers too, indexed to channels. Which is under various quarters with Q1Q3 and Q4. Uh, like scientific reports? An International Journal of bulletin Polish in all these journals. And I'm waiting for we have communicated and waiting for the review process. An editorial.

Professor, I noticed you published "A Deep Learning Approach for Efficient Anomaly Detection in WSNs" in the International Journal of Computers Communications & Control, a Q2 SCIE journal. How have you drawn on the findings from that research when teaching advanced AI topics to your students?

Are I? I have also uh. Consulting incubation centres. To do real time projects or to do entrepreneurship related projects? To encourage students to start. If they have a start up like that. And in that case also I'm planning to encourage.

Professor, given your work integrating generative AI and advanced analytics, where do you see the most fundable research directions emerging over the next few years? Which external grants or funding sources would you strategically target to sustain your lab and research group?

Gandhi sins are my. Company, uh. Career experience. For the 14 years at PSG College of Techn.

Right, Professor, you've clearly been active in research and updating your work with current trends like generative AI. Before we move forward, tell me—when you're teaching a core lab, how do you balance theory with hands-on application so that students actually internalize the concepts rather than just following instructions?

Okay, you've clearly been proactive—guiding students into industry projects, consulting on real-world work, and encouraging entrepreneurship. When you guide a student team through an interdisciplinary project, how do you assess each member's contribution and ensure the learning outcomes aren't lost in the push for patent or publication?

I'm also using AI. Tools for evaluation. Uh, like this? You see, this is. And with grading systems, all these same projects are going on. Such a way the evaluation tools also a waste. Evaluation tools also can be used for. Pohan New courses.

Alright, Professor, let's talk about your experience with institutional responsibilities. Accreditation cycles can be pretty demanding—if you joined our department and found that outcome assessment data was inconsistent across courses, what steps would you take to address and standardize that process?

OK. So if the outcome assessments are inconsistent? Then we have to. Check to the. Complete assessment pattern. And is the assessment patterns of properly matching with the course outcomes? On the way all. Uh outcomes are mapped with uh. All assessment patterns, then there will not be inconsistency. So we need some logical approach. To connect with the Cisco pattern towards the coast. If it is logically correct. Then they will not be inconsistency.

Imagine this scenario, Professor: a student appeals their final grade, claiming your evaluation was biased. Simultaneously, your department head is pushing you to raise overall pass rates to improve departmental metrics. How would you navigate this situation while maintaining academic integrity?

So usually uh. When I correct a paper, I'll be having complete key and the scheme of evaluation. I'm not allocated for each answers students are given. Usually when I frame a question I will also. Find mention the answer for it along with the answers. So that whenever there is a query raised on my evaluation pattern. I will, surely. Show that's. Scheme and they can cross check. An effect is even. Not correct. It has to be corrected earlier with the help of scrutiny with the expert. And then this issue will not itself come. Starship Trophy process earlier. Before moving on to the. Examinations.

That makes sense, using a clear marking scheme and external scrutiny does provide transparency. But what if your department head still insists you adjust your grading to ensure higher pass rates, and disagrees with your decision to stick strictly to your evaluation scheme—how would you handle that pushback?

OK, in that case, uh.

Given your ongoing consulting with Samsung Prism and involvement with government sectors, do you have specific industry partnerships that could help VIT students access internships or placement opportunities in the multimedia or AI domains?

Another committee or export committee? Who will be able to? Validate my answer evaluation. And is there any alternate answer that can be provided for that question? If it is acceptable. Then I may consider improving the mass.

Based on the experts, uh. Cancel.

Decisions.

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

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

OK, so. Regarding. The role.

I have applied for assistant professor. Or associate professor. So when will I be known for uh? Or what are the eligibilities? Off my profile. Which will be suitable for associate professor? Power Assistant Professor.

Professor, the role focuses on teaching both theory and lab courses, mentoring students, guiding research and projects, and contributing to research publications. You'll also participate in academic and administrative duties within the department. Is there anything more specific you'd like to know about expectations or responsibilities?

For the distinction between Assistant and Associate Professor, it's based on both your academic qualifications and the strength of your research portfolio—especially in terms of publications and prior teaching or mentoring experience. Once the selection process is complete, you'll receive an official communication regarding your fit and the recommended designation. Anything else on your mind about the team or the environment?

How many rounds will be there in the in my next uh? Interview still. Will it be completely technical or will it have HR also?

The interview process typically includes both technical and HR components—there may be one or two more rounds depending on your profile and the selection committee's requirements. You'll get detailed instructions for each stage from the HR team after this round. Anything else you'd like to know before we wrap up?

OK. Regarding the. Reimbursements.

Reimbursements like travel or accommodation are handled according to institute policy—specific details will be shared by HR if you're selected for an on-campus round or join the department. Anything else on your mind, Dr.?

I have. Uh, provide the informations earlier. Or after completing the interview, I'll be providing the. Reimbursement, uh. Details for. Performs required for reimbursements.

Reimbursements like travel or accommodation are handled according to institute policy—specific details will be shared by HR if you're selected for an on-campus round or join the department. Anything else you'd like to know, Professor?

Uh, nothing. I will uh, after, uh, after I. I'm intimated about the next room. I will proceed with the interview process. I get prepared for my technical.