Good day, Dr. Berlin Shaheema S.. 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.

Yeah, myself, Berlin, Shaheena.

Uh, presently I'm working in SRM Aishwarya Engineering College, Chennai in the department of Information Technology. Currently during 2025, I have completed my PhD from National Institute of Technology.

And so I have completed my research in the field Medical image Imaging with deep learning approaches.

Did I? I have a plate panoptic image segmentation in brain and I Further I have classified the tumors as low grade and high grade glioma and also I have applied xa explainability to the.

Outcome.

Also, I have more than 10 years of teaching experience in engineering colleges.

Plus 3.5 years of research I experience, I have come published few journals and reputed in reputed journals such as IELTS in elsewhere and Splinter.

Also, I have completed few NPTEL courses I have attended at.

Also I have submitted few proposal to DST and I have Finder with the proposal for from TNS CST for amount of 10,000 that's all about.

Thank you, Professor. Let's start by verifying your expertise for the role. First, can you elaborate on the specific ways you've applied Artificial Intelligence, Machine Learning, and Data Science in your research or teaching experience? How have you integrated these fields into practical settings?

So in my research I have applied deep learning approach. Deep learning approach. So first brain tumor, brain tumor which means.

Yeah.

Unusual growth in the prime so far. It is difficult to find in the beginning state, so if it is detected, yeah, earlier means it's easy to save the patient's life.

So to say for this I have for this issue I have applied panoptic image segmentation to my results. Panoptic in results normally in medical image instant segmentation of semantic any one segmentation is applied. So I will take while considering many resources I came into consider that if you consider both the instance and semantic segmentation.

It provides a better outcome, so which means which is done with the help of panoptic segmentation.

And also for this I have take I have applied, I have used liquid neural network combined with path aggregation and residual network after segmenting the brain tumor. I have further classified the tumors with the help of deep learning model. And also while considering medical means we need to create trust among the.

Users and the clinicians. So for that I have applied explainable aid.

Results.

Thank you for sharing that, Professor. It's clear that you're deeply involved in applying advanced methods like deep learning, panoptic segmentation, and explainable AI to critical medical problems. Could you also briefly highlight a specific case where your teaching experience—spanning over a decade—has integrated similar advanced AI techniques into courses or projects you've guided?

Yeah.

So nowadays, uh, so I considering from the from my comparing with the initial experience, during that time, students are eager to class. Listen, the classroom teaching nowadays, it's not us like that. Also, they are, they are in a short time. They used to expect they used to, They are XP used to get.

Large huge amount of information. So what during our lecture what we need to do means in a in a simple manner we need to explain the concept. So for that with the help of some visualizers it helps better. So for while explaining Erica explaining any concept if you are doing it with the help of visualizer means the student easily gets the information and also it it helps them to easily apply the things.

In the real world applications and also, uh, during, uh, during my teaching, I one thing. So we should not start with the answer for the question what itself. We should be clear why we are using and how we are using the same thing. So if you're clear that the.

If you're clear to answer these three means they will be clear with the concepts, uh, and also, uh, it will be easy for the students to apply the things, whatever they learn and they can apply in the real world also.

Thank you for sharing your approach, Professor. It’s evident that you emphasize clarity and application in teaching, focusing on engaging students and fostering their ability to apply knowledge practically. Next, let’s explore your experience with guiding student projects and research. Could you provide an example of a project you supervised where your guidance significantly impacted the student’s learning or the project’s outcome?

Yeah. So with our project with our students, we have did a project initially for license plate organization to our Kanyakumari Police Department. So I'm considering the. So normally N number of accidents happens daily and it's difficult to capture the.

Cancel.

Yeah.

Thank you, Professor. Moving forward, I would like to assess how effectively you manage student evaluation and exam duties. Could you elaborate on your approach to designing assessments or examinations and ensuring they align with learning outcomes?

Can I get the question once more?

Thank you.

You're welcome, Professor. Could you proceed by describing how you design assessments or examinations to ensure they align with the intended learning outcomes?

Yeah.

So to examine the students and they should, so we should specify mention them what are the outcomes of learning course and also whether they are able to apply all the taxonomy level levels, whether they are able to apply the things, whether they are able to understand whether they are able to implement the things so far. Likewise we need to test. So after they at the end of the course. So.

If it is a whatever thing they'll they'll not we should.

They should be ready to implement in a project where they should be try to implement. That's all.

Understood, Professor. Your approach emphasizes aligning assessments with learning outcomes and ensuring students develop practical implementation skills—key aspects of effective evaluation. Now let us move to research guidance. Can you provide an example where you mentored a student through a research project, leading to significant academic or practical outcomes?

Yeah.

So.

I have a.

Nowadays, most of the ladies suffer with breast cancer.

So for that I have written a funded project with the with the help of same I have idea. So with the help of same panoptic segmentation, we need to split, we need to segregate the tumor cells and also there may be fibroids. So if we identify the tumor cells initially, it's easy to save the patients.

So I have a focus to apply the thing in real world. So.

This is a This is how I am, uh, I plan to apply with the help of deep learning models, uh, with the help of real time data.

So to make the students to understand, uh, some practical examples and with some hands on experience, if we teach the students means it is easy for them to understand and whatever. For example, if you're going to train a model means we need to visualize them. How training happens, what happens, how we are tuning the parameters, how we are setting the parameters, how we are giving the models. Likewise, we need to visualize the concepts and we need to give the hands on experience to the students. So it will be easy for the students.

Thank you for sharing that, Professor. It's clear that your guidance aims to address real-world challenges with impactful solutions, utilizing advanced methodologies like deep learning and panoptic segmentation. It’s commendable how you integrate practical applications into your mentoring. Let’s now discuss your ability to communicate and teach complex concepts. Could you share how you simplify advanced AI or Machine Learning topics for students who may lack foundational knowledge?

Yeah.

To understand the things and also they will do try to implement the same thing in a better way.

Thank you, Professor. Your focus on visualization and hands-on experience aligns well with effective teaching methodologies, especially in complex fields like AI and Machine Learning. Now, moving to research publications—could you provide examples of your work published in reputed journals, highlighting the impact or significance of these publications?

Yeah.

So when con when considering my research publications.

I have published in my Multimedia Tools and applications, Biomedical Signal and Biomedical Signal and Control Processing Computers and Electrical engineering and also another paper in Neural Computing and applications. These are the papers journal works I have did for my research. So while considering the paper to Multimedia tools and publication I have submitted a review paper and it takes around 2 years for the process to complete and finally.

My paper wallet subscripted and they are, it was published, uh, then while considering biomedical, it was the first paper I got published, uh, for considering my research. So it's a paper.

Which focuses on brain tumor segmentation with explainable a concept where I have applied graph convolutional neural network combined with the path aggregation address new address 50 in the second computers and by electrical engineering. So later I I understand that too.

I have a play that liquid neural network. Why? Why? Because I was able to understand that liquid neural network. It works better in adaptable environment, so considering our medical needs.

Data, it changes frequently. We cannot predict that this and these tumor at, uh, why it affects in this location or else, uh, adaptability in the sense we cannot say the image and the features differ from different stance centers. So I was able to understand that liquid neural network focuses on it works better if a real time network. So I have published another.

Walk to computers and, uh, electrical engineering, uh.

As of now, I have a after in continuation of my research considering the parameters and quantification parameters features I have published. I have submitted a few journals to the reputed journals. Now I have a focus to publish journals in transactions.

As of now so I have few plans and also while doing my research I I thought of doing the same in a real time environment. I have tried to get some real time data but I was not able to get it. So during that time itself I was impressed with VIT value while you are working with many projects with in collaboration with CMC value in real time data. So during that time with the help of my supervisor, I have tried.

Thank you for detailing your publication journey, Professor. The focus on adapting techniques like graph convolutional neural networks and liquid neural networks to real-world, variable medical data signals strong research acumen. It's also impressive that you're targeting high-impact journals like IEEE Transactions. Finally, let us assess your experience in industry projects or consultancy. Could you share an example of such work and its impact?

To get real time data but I was not able to. So I have done with the help of publicly available data.

Oh so in so well considering consultancy work as of now consult now. I don't. I have not done anything, but I have some proposals in the future I'm planning to implement the same thing.

Thank you, Professor. It's clear that while industry collaborations are an area for potential growth, your focus has remained on advancing academic research with publicly available data—a foundation that can certainly extend into real-world applications in the future. With that, we've covered the key areas required for the role, including your expertise, teaching abilities, research contributions, and industry-related aspirations. Is there anything else you'd like to discuss or highlight before we wrap up the interview?

So as VIT Vellore, its premier institution.

I'm.

I I have a long term goal to work in such type of pre good institutions.

So if I get an opportunity to work over there, I'll do my best for the betterment of the institution, focusing both the results and student activities.

Thank you, Professor. It's admirable to hear about your aspirations and commitment to contributing to the betterment of both the institution and its students. Your vision aligns well with the values of a premier academic institution. Are you ready to conclude this session, or is there anything else you’d like to address?

That's up to me.

Indeed, Professor, the decision is yours. Would you like to conclude the interview now? Please confirm your intent.

Yeah. Thank you for giving me, giving me the opportunity for taking part of VATV Loop and taking this interview.

Thank you all.

Thank you, Professor. Just to confirm, is it okay for me to go ahead and formally conclude the interview? Please confirm.

Yeah, yes.