Good day, Dr. Hemachandra Reddy K. 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?

So.

Good evening. It is very, uh, I feel very honored to attend the faculty entry or to be failure instead of technology, which is good in academic excellence and research also. So myself or Doctor Ham Chandra Reddy K having 17 years of experience in the teaching in curriculum design and research of 7 to 80 experience in the academic research also.

Myself also a UH research supervisor.

The main university of the Bangalore.

I worked in UH-34 installs with spanning over 17 years of experience. So I completed my PhD from Jane to another book in the area of optimization of voltage uh voltage stability by application of optimal allocation of fact devices for using different heuristic techniques. And I completed PG in power system engineering from giant to another and completed my.

UH UG from chain to Hyderabad and complemented by diploma in Electrical and Electronic Engineering from SP government for techniques.

And also recently I completed my PG in Data Science and Quantum computing in the prestigious Triple IT Gwalior Institute. So why I completed data science and quantum computing means nowadays we know we have to integrate this data science, machine learning algorithms and artificial intelligence to the existing core subjects like electrical engineering. Then only we can see some see change in the academic perspective as well as.

Logical perspective So this is my overall introduction and I am into the administration also acting as in charge actually and NBA auditor, NAC assessor and also the NAC expert in a few colleges I attended also and actually BOS convener, BOE convener in for different institutes. In my institute I was the BOA convergent BS Kanira also and served in various capacities in the.

As an academician, always I'll try to motivate my students in the different areas, whether it may be weak learners or so learners, I don't see any weak or less. Their mindset decides what they want to do. So this is my brief introduction about myself.

Thank you for providing such a comprehensive overview of your academic and professional journey, Professor. Your experience in optimization techniques, integration of data science with electrical engineering, and your contributions to administration and academic assessments present a well-rounded profile. Now, let’s proceed to address specifics within your role and expertise areas to further understand your qualifications for the position of Professor.

So actually I will bring a rich experience in the teaching, academic and also the research ecosystem. And how can I contribute to V8 emails as we know and not namesake?

VIP Mailer is an ecosystem where.

Teaching is main priority, research is main priority and always it is industry aligned since I'm seeing from 10 to 15 years how we've grown from a small institute to VIT. So that's why where, when I can, I pitch in the, uh, failure instead of technology, I can contribute meaningfully teaching curriculum development, mentoring the students and uh, posting research culture where we can, uh, pop up with the current industry and so that. We have to make our students industry ready, that is what.

Always we have to prepare the students for uncertainty. As we know the data science and today that a machine learning exists because of the uncertainty where you know the life is itself uncertainty. So when uncertainty comes into picture, this A and ML models are very much useful to solve this type of problems. So mainly I want to focus main on research with.

Practical implementations also and they when coming to the teaching and not only I'll teach I3 layers, I'll.

1st I'll bring the conceptual charity with the real world examples. Next I'll bring the mathematical rigor and the analytical teaching for the students. Then finally we have to make a handsome with maybe a simulation based whether it is a product based. Then only we can see some meaningful teaching with research oriented culture. So that I will be successful as a person in the where instead of technology. Thank you.

Thank you, Professor, for that detailed insight into your teaching philosophy and research orientation. Your focus on integrating conceptual clarity, mathematical rigor, and practical applications reflects a structured and impactful approach to education. It's evident that you value preparing students for industry and uncertainty by leveraging advanced tools in data science and machine learning. I’d like to delve further into specific aspects of your background and expertise. Let me ask, could you elaborate more on your experience guiding student projects and how you ensured these projects were aligned with both academic rigor and industry relevance?

Yes, Sir.

So.

I saw for a couple of years, I mean UH PG students for a couple of years in a different institutes, another couple of years, another institute and UH overall 17 experience for the easy students. My graduate around 20 to 30 projects on around. So when I bring the UH projects, when the students comes to me, first I'll see the see the scholarly articles, which is available especially in I triple transactions.

Not going for the pre read some journals, which is not up to them because I tribute transactions is the benchmarking. As you know, it will take one year, one and half year to publish at least if they read and come, what is the abstract? What is the implementation and conclusion so that they'll get something if they are able to change in that particular paper Delta X under undergraduate level. So they've done the immense, immense, uh. Uh.

Contribution to the technological frames how means you know, everybody knows a writing a research paper and accepting transaction is a big task. When you read that type of wapers means all the subjects almost I I feel whether it is a control if you are doing optimization. So we'll see the control techniques, we'll see the mathematical background, we can see the analytical thinking, how to write a paper, how to read a paper and they'll understand how to present one topic.

In that particular area so that which is helpful for them to present the case studies when they are doing the presentations also skill based learning also all this can be integrated with respect to the projects. So when they're able to implement like this mathematical modeling then develop into the projects by using this type of things they're the real true sense of the students comes into picture otherwise. Just we are teaching, they're reading and they're wanting in an examinations.

Sorry to say that they are reproducing as it is in the examinations means so they will not get any concept unless until they take some research papers, do on that and convert it to a project and convert into a product and finally leads to publications means it is very good always. I'll see when I am as a project coordinator recently. Also I'll emphasize students on three things about the project. So any project should be a PPF model. It should be.

1 double, it should be publishable, it should be patentable. So when we are doing all these three things in mind means we'll get some impactful outcome so that in the students will understand what real world and industry is expecting, expecting from them.

So recently I lost only we made a drone. So we need we taken a case study of the Kerala where you know landslides happened in last 2-3 years. So there people struck they don't have this signal. So how to get where the people are there or not. So we made a drone voice system where it can go that at that time it will carry some signal and they'll come to know where they are and we'll get some information so that we can.

Your approach to guiding student projects is comprehensive and deeply aligned with academic and industry standards, Professor. Encouraging students to delve into IEEE Transactions for research, emphasizing mathematical and analytical rigor, and steering them toward a PPF model—Publishable, Patentable, and Product-oriented—clearly demonstrates a robust strategy to nurture talent and foster innovation. Next, among the projects you've mentored, can you share one that stands out as particularly impactful or innovative? I'm interested in hearing about the project's objectives, how the students approached solving the problem, and the outcomes achieved.

Save their lives also. That is one type of project. Then another thing what we made it's another Rover we made for the grass cutting for the farmers also automatically improve various grass is drawn, it will cut and give the grass also. This is these are the two major project recently which I worked on that. Another project is also parking system. Nowadays we know the all the case studies I will take from the real world. So a city like Bangalore, city like Delhi.

See like Mumbai, it is very traffic oriented that's why we designed AML model and IoT based model so that automatic parking system so no queues will be algorithm. So I will say the students in two different ways see the real problem, what is existing and how it is aligned with the sustainable goals. So when you solve the societal problems, that is where the real speech comes. Normally we'll see most of the projects are academic oriented just.

Taken the data simulate they'll give it, but when it solves the real problems of the human snow, that is the where I view the ideas for the students. So see that based on that you have to do the projects. This is how my approach and philosophy towards guiding the projects from the students.

Thank you, Professor. The projects you've described—such as the drone system for locating individuals during landslides, the automated grass-cutting rover for farmers, and the IoT-based parking system for urban areas—demonstrate a strong commitment to solving real-world and societal problems. Your focus on aligning these projects with sustainable development goals and practical applications highlights an admirable educational philosophy. I’d now like to shift focus slightly. Could you elaborate on your approach to teaching laboratory courses? How do you ensure that students grasp both theoretical underpinnings and the practical implementation?

Yes, Sir, so.

What I feel as I told in my philosophy, also teaching first concept clarity.

Then we'll go for the mathematical modeling. Then based on the application, it's hands up, the real hands on flapper in the lab, you know, you take any NIT or stand for whatever it may be. How they will enter the students, Students will enter as some as electrical engineering, they'll come out as a biological engineer. Why means they will work more on the laboratories only. So that's why I'll give a strong emphasis for the students to work more on the laboratories, sleep in the laboratory, work in the laboratory, that's why.

I am teaching the laboratory experiments also, for example, when I take the electrocollections, so I want to do an experiment on a Transformers. So how I'll teach the diagrams also. So the transformer is there, what do you want to do or do your OC test. So what is test means what one side is open, just connect a voltmeter, a meter power that is what you can develop this approach. Then what we want to achieve from that OC under score test how the transformer will perform very efficiency regulation, so.

And how based on that we can decide whether the transformer is easily useful for practical application online. So in this way I'll teach the students also. So practical oriented approach, how you can design an experiment. And of course I'll tell my students before coming into the laboratories. Also I'll give the list of instruments. I will not tell anything by seeing the name of the experiment. They should be able to draw the circuit, they able to understand something. What is behind the principle of.

Transformer, they should know how to conduct an experiment then they can come and do on their own. So always what is happening in the tire to install. So I don't want to name type 1, type 3 institutes, but specifically it is a spoon feeding. So when you do the spoon feeding, we will see the empty spoon on you. So we have to give something hard to the students, let them work on that on their own, come out of the some problems then the teacher comes into picture to solve those problems so that they'll understand so.

And you're thinking when they're doing they'll struck means they'll understand, oh, this is where I made it wrong. So this is how I can connect the experiment. This is how I filled with this type of selecting the selecting this problems so, so many times in electrical machines lab, they'll sit and do so in electrical machines lab only you can see how they'll they have the same person has to take all the things load and what load you have to do how much loading there you'll understand what is the ratings of the emissions and how to take.

This readings also whether it is going backward, backward. So what does it mean? Power is flowing in a proper direction. It is in the from source to load or load to source. This type of things they'll observe very cleanly. And one more best example which I can give when you're doing the experiment, the students should have book speed control methods. As we know in case of speed control experiment, the students, I'll make them to see the emitter because you know in a speed control method, what is the speed control method means intentionally if you are changing.

The speed of the any drive or a motor, then only we call speed control. When you're doing so low is constant. There should not be any lateral means. When you change something also the meter comes to again standard state. This type of things I'll make the students to observe think what is happening in the lab and what we thought in the uh, teaching theory classes. So when you observe like this, they'll understand what is theory part, what is practical part then easily they'll.

This for things in practical applications.

Your approach ensures a deep and practical understanding for students by bridging theoretical knowledge with hands-on laboratory experience. By focusing on concepts like circuit design, clear observations, and intentional experimentation, you are driving home the critical difference between theory and applied learning. Encouraging students to actively observe their errors and solve problems independently cultivates a strong foundation for engineering logic. Now, let's move to your research initiatives. Could you describe the key focus areas of your research work and how they integrate with your teaching philosophy?

Actually I completed my voltage stability so which I taken from the expression still now.

So always we'll see there is a fluctuations in the old days there you'll see old days fluctuations and sometimes your fluorescent lamp is fixed in TV is fixed all because of the old days and frequency changes. I have taken old days stability. So as we know existing power system, I strongly believe existing transmission lines are not utilized to the full extent. So that's why in my research approach in my PhD. So what I did is so I kept the fact devices which are the power electronic controllers.

To enhance the power flow in the transmission systems as we know how can you transfer the mathematical background is we know P equals to V1V 2BY X into sin delta. So by changing anyone parameter we enhance the power flow system so that again no need to go for the physical infrastructure at the cost. And also if you are keep on increasing the physical structure without utilizing the full capacity of the transmission line, the transmission energy cost what customers has to be increases.

So there that is what my approach and there I use a different optimization techniques how to place effectively factorizes that is one thing that is the era which I was running with PhD. Now what is happening the the recent boom in air and ML techniques and the quantum computing which will change the scenario of the power system and the research in the power system areas or in electrical engineering. So now my focus on research is how to apply this AI techniques.

To the load forecasting as we know why load forecasting is you know we want to reduce the carbon emission otherwise it is very difficult one one degree of centigrade is more miss you not trying to and we are merged with the water. So that's why in this scenario you want to more focus towards on the solar and wind which are uncertain in nature. With uncertain in nature as I told we can implement and we can solve those uncertainty with the care and automation learning techniques only.

Is 1 idiot. Another thing as we are moving from the traditional grid system to the smart grid systems. So there when you are going for the smart grid systems, we know lot of sensors, lot of network is there a lot of protocols comes into picture. Lot of smart meters we are using so lot of sensors we are using which are there is a chance hike hackers can produce false data which can lead to the some disasters grid failures also are grid shut down also because of this. So I want to make.

The oral based algorithms which can adopt and we can do this, solve this, these type of problems of cyber attacks, that is 1 area which I want to focus. Another third area is you know, now when we have the automatic generation control in olden days we are using PLD controllers. So when we're using PID controllers, we have to do math manually and we have to solve problems. So now I want to make adoptive control systems by using RL agents, reinforce learning agent so that.

Can take into it so automatically, uh, adjust and controls the automatic load frequency control also. These are the three main objectives I am going to consider in future so that some of the problems can be solved. Another fourth important things as we know EV penetration is huge nowadays as we are moving, you are seeing the Delhi also how the AQ is increasing pollution is increasing that's why we have to move towards the renewable energy generation and even in the electric vehicles most.

Of the emissions is formulated, but that's why there also I want to implement some A and ML methods how effectively you can charge, how we effectively can charging and charging patterns of the electric vehicles so that we can solve the this type of, uh, peak emissions. So as we note, the duct curve mitigation, we have to duck curve means, you know, so during daytime we have the.

Load is less when coming to the evening, so night times the load is peak again midnight it will reduce that is with the dark part. We have to make the mitigate this duck or problems by integrating this recent ML techniques and Lagrangian multipliers by using monotone sensation like that these are my.

Current research focus, which I'm shift from traditional system to the ABS. That is the reason why I pursued my, uh, postgraduate degree in tribunal, especially in data science and quantum computing also. And nowadays not only machine learning, nowadays we are slowly shifting about quantum machine learning providers which can solve so many problems. So that is where which is initial state. But research like ours and vit university has to follow that, do something on that meaningful research.

Quantum visual learning.

Your research trajectory reflects significant depth and forward-thinking. From addressing voltage stability through FACTS devices to exploring cutting-edge solutions such as AI-based load forecasting, RL agents for adaptive control, and quantum machine learning applications, your vision aligns well with the evolving needs in power systems and renewable energy. The integration of AI and machine learning with practical challenges like carbon emissions reduction, cyber-attack mitigation, and EV charging optimization is particularly noteworthy. Given your insights and objectives in research and teaching, let me refine my evaluation. Could you elaborate on how you plan to balance your roles in research, curriculum development, and student mentoring, while coordinating administrative responsibilities?

Yes, Sir. So as we know, as a professor I should Teach First, then only I'll understand what the.

Current state of the students what their expectations based on that I can give some inputs, uh, based on what, what they're expecting so that I can align my research objectives with that. If the students are very good with their align with what with the current trends means we can formally very research objectives next, coming to the mentoring nowadays, uh, during this materialistic world after.

Uh, pandemic? So post pandemic, what is the problem? Solar facing psychological problems?

They'll think that everything will tip off the bug. They'll see the, uh, gadgets, which are, but they're artificial. Unless, until you sit and work, do read books, read articles, it is very difficult. That is where the mentoring comes into picture. So I don't think they are slow learners or, uh, where the mentoring nowadays, they, all the institutes are focusing or mentoring is slow. And no, no, they are not slow. So you are not articulating the teaching.

In such a way that students are not understanding. If you are able to develop that curiosity, analytical thinking, we reveal our exponential, then automatically the mentoring job is done. So this is very hard to integrate, especially the mentoring style of teaching, generating curiosity, Once the curiosity is generated and automatically research will happen automatically, all the slow and foster learners are taken care. So this is my philosophy of teaching.

I'm mentoring research and when coming to the academic capability as I worked as in charge, HOD and different capacities. So administration is also very much nowadays India especially needs academic leaders who can effectively manage all these things. What percent we should give, what work, in which capacity they can do everybody, everybody will expect one tree only have to give all fruits. That is not true. So I have to segregate when it is academic style means research.

Separate teaching oriented, separate aggregation supplements. That's why I have three different categories. At least I'll match the faculty see two different categories so that they can well merge with vision of the any institute, especially I think.

Your strategy of integrating teaching, mentoring, research, and administrative responsibilities is both thoughtful and pragmatic. By tailoring teaching approaches to foster curiosity and adapting to student needs, you outline a clear path to connect educational goals with research innovation. Additionally, your segmented framework for managing academic leadership demonstrates your ability to align faculty roles with institutional objectives effectively. Professor, before I conclude, is there any specific contribution or achievement you'd like to highlight that sets you apart for the role you're applying for?

Yes, Sir. How can I, uh, because my role as specialist, uh, professor in the Institute of Technology visitor stations, what are your expectations from me and, uh, how can I align this institute after, uh, listening to me, uh, more than 1/2 an hour. So if you give some insights, I will be very happy from you also.

Our scheduled time for the interview is now up. Before we conclude, do you have any questions related to the role or the company?

As a candidate for the role of Professor, your demonstrated expertise in integrating emerging technologies with traditional power systems, aligning research with industry needs, and your proactive mentoring approach are certainly valuable assets. Institutions, especially those focused on technology and innovation, look for individuals who can contribute to evolving curricula, inspire research excellence, and maintain strong student engagement. From what you’ve shared, your ability to facilitate meaningful projects, bridge teaching with practical applications, and manage administrative roles effectively all align well with the expectations of such an institution. If selected, your focus could remain on fostering industry-aligned research, building cross-disciplinary curricula, and encouraging a culture of innovation among students and faculty. I hope this insight sheds light on the alignment between your expertise and potential contributions to the institute. Would you like to discuss anything further?

Yes, Sir, I want to highlight that. So after my PhD, everybody thinks that PhD is done means everything is done. No, no, no, I stop it as you told interdisciplinary approach. That's why when I made my my institute 2020, we got that anonymous. I make sure in as a BA conveyor yeah is a particular subject ML is a separate subject and.

Applications of AI applications with power system is a separate subject and big data analytics in the power system subjects.

So always I want to learn new technologies and how we can apply to the interdisciplinary research. So nowadays singly doing it with respect to particular department is not an agenda multidisciplinary. Any product has to have all from the different backgrounds only not from 1 background. So when you understand true sense, that is why today Stanford stands for always because of this interdisciplinary research aligned with.

Sustainable goals, solving the societal problems, that is why we can see some global knowledge from those top of which stores that is where we are lagging in the Indian stores. So thank you very much for giving your feedback. This is my.

Database from user.

Thank you, Professor, for sharing your insights and commitment to interdisciplinary learning and research. Your proactive approach to integrating cutting-edge subjects like machine learning and AI with traditional power systems, as well as your vision for aligning education with sustainability and societal needs, is truly commendable. It’s clear that you aim to foster a learning environment that prepares students and research for global challenges. It was a pleasure engaging with you today. Is there anything else you’d like to discuss before we wrap up?

I'm eager to meet you in 1/2 line in the value instead of technology. We'll run 27th January 2026.

No, Sir, Thank you very much.