Good day, Dr. G. Thirumalaiah. 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.

OK Sir, I will, I will. Later I will give the introduction about my professional journey. So myself so working as a assistant professor in Annamacharya University since 2010. So I thought electronic devices and circuits, signals and systems, digital image processing, Internet of Things, embedded systems. I mean all related electronic subjects.

And I have, I am the research scholar. So from 2017 to 2023 in Karuna University on my research area is video analysis. So then we can, I mean, I, I mean I published 6 papers in Scopus and Sea generals and I presented my research work in like international conferences. I mean, I guided numerous student projects contributed to.

Your research publications and is actively involved in innovation oriented schemes and patentable ideas. In addition, I have answered an experience in data analytics and is passionate about knowledge distribution through online classes and planned YouTube content. Electronics and emerging technologies.

Presently I'm the postdoc scholar in Lincoln University Malaysiasis.

OK.

Starting with the technical contribution, Sir.

Hello.

So I I have the good technical aspects and image enhancement, restoration and comp compression segmentation. I mean I did the my research work on thresholding, regional based methods, edge and future based segmentation and also my research work in postdoctoral related to lightweight segmentation models using edge AI. Mike, I mean, I have the good expertise, technical skills on embedded systems and I would.

Yes, Professor, I’m here. Let’s

Microcontrolled based system design, IoT architectures, sensing, edge cloud, smart sensors, healthcare and environmental IoT applications. And if you I mean recent I mean contribution, technical contribution in research area is HGA and smart systems. Then here I mean I am working on lightweight AI models for resource constrained devices, edge based image segmentation AI.

Smart agriculture, Aiot integration, latency aware and power AI designs. So I mean I have the some more techniques supporting technical skills like like SQL for data extraction, Excel for preprocessing and analysis and GitHub of for version control and collaborations and apart from these all technical. Aspects I have recently I am very contributed with my.

I associate on green energy so related to thermal energy, floating solar systems, energy harvesting. So presently I have the good teaching and good knowledge in the subjects like image processing, video processing, embedded systems, Internet of Things, AAA fundamentals.

Sup.

OK.

Let us start by discussing your experience in **Image Processing**. Could you explain how you apply thresholding and region-based methods for image segmentation in practical applications?

OK. So that is your question is threshold holding and the region based segmentation application Sir, initial image processing?

Yeah, Image thresholding separates actually updates from the background by analyzing pixel intensity distributions like like. I did thresholding not as a basic method and but as a computationally efficient segmentation tool. We have the different types of thresholdings. Those are global thresholding like, global thresholding and local thresholding like. Like adaptive thresholding?

Adaptive thresholding. So in the adaptive thresholding where is local neighborhoods like uneven lighting and shadows are natural illumination variations can be differentiated from the background. But another important threshold method is OSU thresholding. So it is a automatic thresholding selection via Instagram variance minimizations. So we can use preprocessing steps, we can use pre-processing steps like for medical.

Like disaster victim detection I mean using this words segmentation. So another like category for research I mean reason is reason based segmentation. So reason based segmentation is depends upon the region growing like select seed points and grow regions based on intensity, similarity, texture or color homogeneity. And region splitting and region merging.

I mean crop fields, I mean we, we can employ this region based segmentation in craft field estimations like land cover classifications. The strength of this region is balances forward segmentation and under segmentation.

Region splitting and region merging like start with large regions split if non homogeneous like.

So thank you.

You're welcome, Professor. Let's proceed. Could you briefly explain your experience with **Embedded Systems** and how you’ve approached designing IoT architectures for healthcare or environmental applications?

OK, so that is my expertise in embedded system Sir.

Like.

Like expect, can you repeat the question Sir once again?

OK, so I I mean I can give you the answer Sir. So that is the.

Of course. Could you explain your expertise in **Embedded Systems**, particularly in designing IoT architectures for applications such as healthcare or environmental monitoring?

Uh, like when design philosophy for IoT embedded systems like reliability and energy efficiency and scalability and interoperability. So if you see the layered, I mean in MI resistance, we can in IoT, we can use the MBA systems like layered IoT architecture, like it is a key design choices are sensor selection based accuracy, drift characteristics, power consumption, signal conditioning for noise suppression.

So for example, if you see the body temperatures and SPO to ECG, motion sensors, isolation of analog and digital grounds to reduce the interference. For environmental examples, we can like pH, turbulent temperature, humidity, gas sensors, calibration routines for long-term accuracy. So using this type of applications, we can use the Embaid IoT or I.

Embaid IoT using layered architecture and.

We have another one, I mean how like embedded processing is like local preprocessing like event based transmission instead of continuous teaming like watchdog timers. So we can use these type of the timers and sensors integrating with the core microprocessors to design the different IoT architectures. And another layer 3 in the layer three it is related to the communication and networking. So protocol we can use different.

Protocols here those are wearable healthcare protocols like Wi-Fi, remote environmental protocols like Lora and NB, IoT, indoor monitoring like Jigbi and Wi-Fi.

In this key considerations in this layer is data rate versus range, power budget, network reliability. Next, layer 4 like comprises like cloud, analytics and visualization. So here the functioning of this layer is is used to store the data visualizations, dashboards, alerts and it can be established the Ai-based networks. So here cloud is treated as a intelligence layer.

Not just like stories. This architectures can provide like security and privacy to all the like.

Sense environmental applications and also not only provide security, it can like related to power management and sustainability.

Thank you, Professor. That was a thorough explanation, demonstrating a clear understanding of IoT embedded systems layered architecture and its applications in healthcare and environmental monitoring. Let's continue with the next technical area. Could you explain your experience in **teaching theory and laboratory courses** and how you ensure clarity and engagement in both settings?

Well, teaching, teaching strategy and lab security, Sir, lab work. OK, so absolutely Sir. So I will, I will, I will explain like my strategy.

Uh, like, uh, theory classes, teaching philosophy is, uh, my approach to teaching is both theory and laboratory courses is based on one principle, Sir. So that is conceptual, uh, clarity first, application next and confidence, uh, confidence finally, I aim to ensure that students not only understand the topics, uh, like, but also feel confident applying the, uh, like the principles, what they learn in the classrooms.

Into the, uh, inside the lab, like, uh, first one, uh, uh, like, uh, consumption, uh, concept decomposition. So I can teaching theory courses like you can, like why, what and how and where. Then my teaching is mainly concentrated on this like 4 pillars for understanding and distribution the knowledge to the students. And also I can use this visual and like visual teachings, like using, I can, I can draw the one draw.

Please

Drawing charts, I mean in case of explaining the block diagrams like flow charts and step by step illustration and the real images instead of the abstract symbols. So with the help of this, students can understand the knowledge through the graphical content. One picture is more worth than the 1000 words. So another. That is my other philosophy Sir. So that's why I can use the graphical representations in my teaching aspects like I can encourage. I always Third Point is I always encourage.

To ask the like questions there if they have any questions they my lecture topic. So those can be I encourage them to ask the questions to me, then I can I can I I can stop the class or if the class is more important derivation part then I ask them to.

In such a way that I can try to calculate their doubts. So next, next, that is my teaching strategy, Sir, come to the laboratory courses. Like I can use lab design like. So first, I like labs are not just for execution, Sir. So that is my, my intention is, I mean, I, I can feel like that labs are not just for execution. They are for thinking, Sir, they are thinking. So that's why.

I.

I can structurize each experiment like objective algorithm and like what implementations observation and interpretation. So like I can use, I can guide these students like open-ended progression like I can first initial lapse. I can guide the each student in effective way. I mean to make to make them to learn or to understand my concepts. So in order to execute the programs in the lab smoothly so debugging ananisha I will provide.

Dividing like in the embedded systems and IoT. So there are lot of simulations regarding debugging as a learning tool. So I treat others as a teaching moments, understanding incorrect outputs, tracing the logic step by step, encouraging period discussion. So then I can make my efforts to bridge the theory on the lab. One of my strength is tight theory lab integration example. If you see the IO T codes are so theory communication protocols are power.

Play a sensor network products like notes, major power strength, analyze the packet sizes in such a way that I can make the I can use the gap between the theory and the lab.

Set.

Yes.

Could you elaborate on your approach and strategies for **guiding student projects and research activities**, especially in a way that encourages innovation and independent thinking?

OK, so guiding projects and uh.

This is the area.

A core belief, uh, regarding yeah, yeah, my core belief, uh, regarding, uh, guiding the.

...students is based on fostering independent thinking and innovation. Please continue.

Hello Sir, can you hear this my voice?

Hello.

Yes, Professor, I can hear you. Please continue.

So my go, my core belief is a guide should gradually make themselves unnecessary. So early on I provide structure and direction. Over time, I intentionally step back to students, learn the question and explore and decide the I mean independently. Project selection is a planting the seed for innovation, actually, so I can tell the problem first, not technology first. So I encourage the students to start with a real world problem, a real.

Yeah, yeah.

Impacted domain one only I mean I can select like sensors, algorithms and platforms. These are I mean avoids tools driven projects and promotes meaningful innovations like I can provide the calibration scope calibrations like I helped students to define what is achievable what not, what is novel what what is novel novelty and what can what can be. Extended projects are designed with a core deliverable 1 innovative.

And I can provide the facility like structured freedom and I mean the guidance model to the students. So in this phase, I'm in a I mean students can define the problems and they will do some literature survey. So like they will decide what is the like, like this, like what disadvantages in the existing systems, existing methods. So from that they will explore the. New methods from under my guidance or the I mean from their studies?

Like optimization, integration, integration and a new applications.

And do some experimentations. And then after that, uh, they will, uh, I mean, uh, so we will, we will apply for the ownership and patents, uh, based upon the results, uh, to the, some, uh, patents agencies in India and around the world around India also. So then encouraging, I mean, always in the, when they are doing the project, I can encourage, uh, independent thinking. So because question driven monitoring is very useful to like, uh, find the.

I mean novel, novel methods, novelty in the projects.

And these things, I mean research oriented project executions also provide to the students.

Yes.

Could

Research contributions, yeah.

I, I will tell my research contribution like so I started. I mean, thank you for the appreciation, Sir. So I mean, my research contributions are application driven, interdisciplinary and impact focused position or the intersection of image and video processing, embedded systems and IoT, edge AI, smart agriculture, healthcare and environmental monitoring. So my 4 research contribution areas are MA segment.

And image processes. So the contributions are applications of thresholding and the region based segmentation for real world emerging conditions. Emphasis on lightweight segmentation pipelines suitable for embaid and edge devices, Integration of preprocessing, segmentation and post analysis rather than the standalone algorithms. These are the significations.

For these domains are bridges the gap between the classical image processing and the edge AI and next another.

Research contribution is sensor fusing like for indigenous systems like key contributions in this research area like fusion of visual and non visual sensor data, improved reliability under noisy or uncertain conditions so the Another research contribution is mbed systems and IoT architectures so.

Here my key contributions are design of edge first IoT architectures.

Event driven data transmission models and edge AI for smart agriculture like that is that this is my ongoing research focus. Lightweight image segmentation models, hybrid approaches combining classical image segmentation processing like using HDA models. So another is related to sustainable and green technology integration like energy harvesting for self-powered IoT.

So I mean so my also consider the overall contributions of my research work is problem relevance, system level thinking, interdisciplinary integration and practical physical design.

Nodes.

And I can guiding the students research towards like published quality, transforming the academic projects to research outputs and creating a research oriented culture among students. These like contributions can be established through my research contributions.

Thank you, Professor. Your detailed explanation reflects the depth and interdisciplinary nature of your research contributions. It’s clear you integrate academic rigor with practical relevance, particularly in emerging and impactful domains. Let’s now focus on your **communication and teaching approach.** How do you adapt your teaching methods to cater to a diverse group of students with varying levels of understanding?

OK, so teaching contributions for different groups of students are like, okay, so I can my core teaching principles is teach to the middle and support the bottom and stretch the top. So this allows this allows this allows me to deliver my knowledge, my theoretical or practical knowledge to the students overall inside the class.

So then understanding the students diverse easily diversity is very early. So I can identify the different students diversities at early stages. So at the beginning of this diagnosing the questions short which is by conducting like informal classroom interaction through these practices, I can identify the different diversities among the students. So then I can next, next I can. Do I can teach a layered teaching strategy? I can use layered?

Teaching strategy so like layer 1 so I can do some intuitive explanations, formal analytical explanations, advanced and explanatory teaching. So with the help of this strategies I can decimate the knowledge to all diversities of the students inside the class. So defensive. Next next to another approach is differentiation in 3D classes like I can.

And, uh, frequent passes for questions and I mean, always encourage the students to ask the questions. So because different diversities of the students can have different doubts. So that's why, uh, I can pass so many points like we're asking the doubts. So next, uh, then difference, uh, one and one-on-one and small group support. That is, I can establish some groups like I can make them to a different diversity so that we can, you have to make the groups. I mean, I can ask them to.

Explain the same concepts with different examples like like increase in the complexity.

In the groups, so I can contact technically through the social, social networking networks are like WhatsApp groups or some other like informal or formal connection. I mean establish the different communications to the different diversities in such way that I can dismiss my knowledge. I mean I can teach the different subjects to different diversities.

Inside the class.

These are my strategies.

Thank you, Professor, for detailing your adaptive and inclusive teaching strategies. It’s evident you emphasize reaching all levels of students effectively while encouraging engagement and critical thinking. Lastly, let’s discuss your involvement in **industry projects or consultancy work**. Could you share your experience contributing to or leading such initiatives?

Optical industry projects and collaborations.

OK, industry projects and consulting. So certainly, Sir. So I will present this clearly and professionally, highlighting industry relevance, consulting mindset and the real world impacts.

Overall orientation towards the industry engagements. So my engagement with industry projects and consult styled in initiate initiatives is primarily problem driven, primarily driven, problem, problem driven and solution oriented.

So then I can use I can apply I can use the applied project development strategy. I have contributed to and lead industry relevant projects that addresses practical constraints such as cost, power consumption, reliability and maintainability. These projects often simulate real industry environments even when exits on academic settings. Then I can I can use the problem translation technique like a major part of the contribution is.

So representative industry linked initiatives so they can do some MOU so I can follow up the follow I can follow them. I mean I can communicate through them communicating, communicate them with the social networks and their websites. I mean to make, I mean for making IMO use with the university. So in such way that so then we can get some contributions like you can get some support from the industry. Once the MBU is established.

Creating the industry problems into engineering requirements. Converting these requirements needs to into clear system specifications.

So I mean we can conduct, I mean we can do some knowledge transfer between the industry and university in such a way that so we can get this some funding and consultations through the Mous. So next, I mean my research actually if you consider for example, if you consider my research work smart agriculture solutions.

I can discuss with the visual based crop monitoring like lightweight segmentation, analytics integration in divertic census industries. So with the help of that so these industries to collaborations. So I mean my research experience, I will make the good funding and consultation possibilities to the wit universities right to the our university. So I can design the like system level. Architect architecture like.

So our system level architecture design, so hardware software design like communication protocol systems.

Prototype and validation sensor required Sir. So with the help of knowledge transfer leadership in collaboration projects, so like industry partners value, so these things can provide the good support. I mean with the with the and also in 2018 I went to Germany. So then I have the good training, good faculty training from robotics. So then so like foreign European companies, I have the good communication. So with the help of.

Then I will make some, uh, like MO us and then after making the MO us, then we can get you some KT knowledge transfer in such a way that we can get the funds and uh, uh, like, uh, knowledge, uh, uh, like Rockin University. So actually, uh, in 2019. So I have the MOU with, I mean, yeah, Aachen University in my university like. Then with the help of that university and Andhra Pradesh State Skill Development center.

Thank

We tried almost 2000 students on properties, so this in such a way that they have we have the good projects and.

So in such a way that so we can establish the good funding and conservative consolidating process opportunities.

Thank you, Professor, for providing a comprehensive overview of your experience with industry projects, MOUs, and collaborations. It’s clear you bring strong leadership, practical implementation skills, and an emphasis on fostering industry-academia links to benefit both research and education. With this, I’ve gathered sufficient information about your expertise. Would you like to add anything else, or should we conclude the discussion?

Yes, we can conclude this.

To confirm, Professor, are you explicitly requesting that we end the interview at this point?

That is my my request. I mean my like submission is so I am very suitable for the given profile, faculty profile. I have the good expertise in memory assistance and Internet of Things. I'm doing the postdoc in the Lincoln University of Malaysia and I completed my doctorate in current university on image processing. So that's why my profile is well fitted and suitable to a given faculty profile. And also I can do service as.

So to enhance the student skills and also to increase the replication of the university, I mean the best of my knowledge. I mean that is I can I always try to increase the temperature of the university and I can always try to give the knowledge to the students.

This is my small submission set.