Good day, Dr. Jency Rubia J. 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.

Yes, Sir. Good evening. I'm Jamesy Rubia.

I'm currently working in Indian Institute of Technology, Guwahati as a post doc post doctorate fellow in the field of Quantum sensing.

And earlier I was working in Beltech University, Chennai.

In Anna University, the field of VLSI design.

And I like to teach digital electronics surveillance design.

And in post doc I have worked in.

Nano fabrication of single electron transistor for quantum sensor.

And I have published a paper in nanoscale also.

And.

Another work I have collaborated.

And published in physical physical scripture. The work is about.

Development.

Yeah, development.

Development of graphene polyamide substrate using laser-assisted technique.

For flexible electronics.

Design of LR humidity sensor for machine learning applications for biomedical application and just now I got acceptance in ACS applied nanomaterials.

And another work I have collaborated in.

So like this I'm having some other works. Also it is in the stage of under review conditions.

Thank you.

Yeah.

Thank you, Professor. Let us evaluate your teaching, research, and technical skills in more depth. Let me start by confirming your expertise in teaching complex topics effectively. Could you explain how you would simplify the concept of "quantum tunneling" for undergraduate students who may have limited physics background?

Uh, sure. Sure, Sir.

Actually.

We want to complete, we want to transmit electron from source to drain actually one place to another. But we have to control the control the flow of the electrons by giving the correct energy level of the electron. So only if we have if we give the correct gate energy only it will transmit from source to brain.

Thank you, Professor. That explanation revolves around controlling electron flow through energy levels, but how would you guide a student who asks why electrons "tunnel" instead of following classical paths?

Well, actually.

In the normal in the standard CMOS.

Good. Actually in the case of standard transistors, we are having channel thin channel from source to drink, to connect the electron from source to drain. We are having a channel. Here we are having.

Quantum dot about 10 nanometer size below the 10 nanometer size. So in this case we are experiencing the quantum phenomena. So by the concept of quantum phenomena it is the tunneling is to be.

Happen.

Thank you, Professor. That clarifies the relation between channel size and quantum tunneling. Let’s delve further into your experience in guiding research projects. Can you describe how you would mentor a graduate student aiming to use nanoscale transistors in biomedical sensors? How would you structure their research process?

Yes, Sir.

Actually, first I will tell the graduate student to go through or to explore what are the available material, what are the available existing techniques to construct to fabricate the nano sensors first. And after this I'm I will instruct him to.

Umm, first material preparation we have to do uh, first I asked him to uh, select the material first, nano material 1st and then the synthesis steps. I will tell him to fix the synthesis steps and then after that.

Through.

I will instruct him to do the material characterization like morphology for morphology and composition material. We we will we'll check through the some XRD we, we, we are having some other material.

Characterizations, right. So XRD like that through these morphology examinations, we can we can decide the we can choose the correct material for constructing, for fabricating the sensor. And then we are go ahead for.

Fabricating the sensor part.

Um, and we will analyze it for biomedical usage, for example.

For.

What is saying for temperature checking? For fever we could say.

So like this we can apply for the sensor to the biomedical applications.

And finally we can we can write a paper and we can publish that also.

Understood, Professor. Focusing on material selection, characterization, and application is indeed methodical. Regarding your discussion on characterizations like XRD, could you elaborate on how you would explain the importance of material morphology to a graduate student working in device fabrication?

Yeah, sure, Sir. Actually we are performing XRD for checking the checking the characteristics of the material. For example, if you take the MOS two, it is a layered structure and it is having its own crystal structure and paths and angles, so.

And also we can check it out.

The size of the uh dot also in that point actually for Singleton transistor.

We have to construct a quantum dot. So if by using MO history we can uh consider the quantum dot. So we can check, we can check the property of the quantum dot through XRD, we can we can detect we can determine the sizes also.

Thank you, Professor. You've clearly detailed the role of XRD in size and structural analysis. Let's now shift to evaluating your ability to communicate theoretical content effectively. Can you describe an innovative teaching method you might use to make digital electronics more engaging for students?

Yes, actually I'm targeting.

Actually, I'm believing, uh, industrial oriented teaching. So, uh, for that I will first give the students at present what the topic, what the current, uh, booming topic is available in the industry oriented point of view. I will, I will start the discussion on that. And after that I will, uh, go towards the basic.

So like this we can, we can develop the students to get more in the job point of view, jobs point of view, career point of view, we can guide them.

Phenomena.

Thank you, Professor. Industry-oriented teaching with a focus on relevant trends is indeed practical. Now, considering laboratory courses, how would you organize and supervise a practical lab session on digital circuit design to ensure both learning and safety?

Yes, Sir, we can have many.

Many simulation software tools for simulating or constructing, designing the circuits, digital circuits, especially Cadence and cadence. We are having Xilinx, MATLAB so. So through this software we can train the students from the simple circuit level to the complex one. For example, if you.

To take simple addition adder, we can start from the adder through.

We can we can use Xilinx and Matlab.

And, uh, day by day we can, we can train them.

To the complex setting circuits, for example for up to the flip flops, we can go, we can we can design the sequential circuits so like that we can train them Sir.

Thank you, Professor. Your approach of gradually progressing from simple to complex designs using tools like Xilinx and MATLAB reflects a strong pedagogical framework. Moving on to research publications, could you share your strategy for selecting journals and preparing manuscripts effectively?

Yeah, sure, Sir. Actually for example, if you take if I did work on some sensor focusing sensor thing. So we have to 1st we have to we have to explore, we have to look for sensor letter channels and if the theme, if the theme is aligned with my.

Umm, point of view. I can, I can uh, do some meeting the channel.

And I can I will select the reviewers.

Who is, well best in that field of expertise?

So like that, yes, OK.

Understood, Professor. Selecting aligned journals and qualified reviewers is a thoughtful strategy. Lastly, how do you ensure effective communication and structured teaching, especially when addressing diverse student learning paces?

Communication means uh, I didn't understand Sir, could you repeat this?

Of course. How do you ensure that your teaching remains effective and well-structured, especially when students in your class learn at different paces?

Sure Sir. I will take a feedback Sir, actually I will. I will prefer feedback actually earlier also I relay, I relate them. Actually I will get a feedback from all the students by writing about my teaching. So they will give the suggestions. Also sometimes I will get a good feedback and if bad means I will try to change that.

Thank you, Professor. Incorporating feedback into your teaching approach shows a strong commitment to continuous improvement. Let me now briefly verify your technical and research expertise systematically. How would you optimize the design of a communication system to minimize signal interference in an embedded system environment?

Uh, we can, umm, we can optimize the system, uh, through the reducing the size of transistor and we can minimize this amount of components like that adder subtractor, multiplayer. We can reduce it by using some novel technique. So like that we can reduce the number of components. For example, if you see the standard traditional.

Some advanced multiplication algorithm. We can reduce the number of adders and the number of multipliers for that, so we can construct the compact size of the circuit. We can like that we can optimize.

Thank you, Professor. You've clearly emphasized reducing system complexity and adopting novel algorithms for optimization. Let us proceed to evaluate another key area: guiding student research projects. Can you discuss how you facilitate undergraduate students in selecting and completing IoT-based projects, similar to your project on "Energy Management in Smart Home Using Near Field Communication"?

Smart home for new near field communications.

Yes, how would you guide undergraduate students step-by-step to work on a similar IoT-based project, focusing on smart homes and energy management?

I I will tell them to do the survey literature survey, the existing management, excess existing methods for the smart home communication, so they will come up with a lot of. Ideas and done and in my point of view, for example NFC near field communication is a very efficient for.

Yeah, first of all.

The smart home application, so, and based on the literature, I can, I will select, for example, NFC means, uh, in and after that NFC they will build uh, through IoT uh, boards, Arduino boards like this, they will construct. They will, I will motivate them to construct and we can check it out.

And we can, we can make a paper publication.

That's a structured approach—starting with a literature survey, selecting efficient technologies like NFC, building with IoT tools, and concluding with a publication. Now, to confirm your research practices, could you briefly discuss how you approach interdisciplinary collaboration, such as your work on "Design of LR Humidity Sensors for Machine Learning Applications"?

Yes Sir, actually for humidity sensor we can. The main aim of humidity sensor is to monitor the patient's humidity level while breathing.

So while breathing, for example, they are having some condition, health condition, diseases like asthma, their humidity level. Based on the humidity level, we can detect the disease level, what, what level severe the condition of the disease, we can do that. So in this case, we can bring the machine learning algorithm to observe the changes we can take.

As many as data from the patients.

And the variety of data we can give as a input to the machine learning algorithm and we can train up them so in this.

Understood,

Level of humility level means this is the case severity our our moderate level. So like that we can train, we will we can train the machine machine algorithm and based on this machine learning algorithm, we can accurately and quickly we can detect the patient level. So this is one kind of example for collaborative research sensor field plus machine learning field.

Thank you, Professor. You’ve provided a clear explanation of integrating sensor technology and machine learning for biomedical diagnostics. Let me proceed to wrap up the technical audit. Next, let us focus briefly on student evaluation. Can you explain how you ensure fairness and effectiveness in grading, particularly for practical and project-based courses?

Uh, practical courses, Yeah, I will, I will, I will guide them, uh, for a practical courses and I will give the fairness result, uh, of 10 out of.

9 out of 10 and I will prefer.

Uh, output based, uh, education policy. So I believe that so far teaching and practical experience, I will prefer object, umm, outcome based education system. So like that I can evaluate the fairness and the that, that and all.

The categories I will evaluate through our outbased based education system.

Thank you, Professor. Utilizing an outcome-based approach for evaluations indeed promotes fairness and effectively aligns with practical objectives. Finally, could you discuss how you balance your teaching responsibilities with your research commitments to ensure excellence in both areas?

I hope I can balance the teaching and the research area because whatever we are teaching, this is a basic concept and we are trying to level up up to the project level. So anyway, per semester, per semester we are having, we are anyway we are making the students to do a project.

We can balance. Yeah, I can.

And for the project I will give my area of interest.

So by the like that I can, I can achieve my, uh, dream project also, uh, dream research, uh, also so like that I can, I hope I can balancing both teaching and research.

Thank you, Professor. Channeling student projects towards your research interests is a strategic way to achieve balance and foster innovation. I believe we’ve covered all critical areas. Let me now finalize the technical skill audit.

Sorry to interrupt, we're down to the last 5 minutes.

Professor, to begin, could you share an introductory course or fundamental concept in your field that you find particularly rewarding to teach?

Digital Electronics.

VLSI Design.

CMOS, CMOS, listen, yeah.

Got it, Professor. Let's proceed.

Dr. Jency Rubia, your resume reflects a strong blend of research expertise and technological skills. Let's delve deeper into how you translate your meticulous research work into a pedagogical setting. You pursued a PhD at Anna University, graduating in 2021. Can you share insights on how you connected your doctoral research to practical applications or lessons relevant to students in your field?

Actually I my dream is my ambition is to pursue a project in quantum sensor and I have done a part of it as a as my PhD for a quantum sensor.

The limitation of quantum sensor is noise. It's highly sensitive to everything.

In addition to noise also. So to reduce the noise we need to have a filter fair filter. So in my PC I have done the far filter with novel algorithm. So that is basically wheel as a design. I have done the wheel as a design. So I I I have a knowledge of wheel as a design so I can teach them and guide them. Towards wheel as a design from basic to higher.

That's

Understood, Dr. Jency Rubia. Your work on quantum sensors and noise reduction with a novel FIR filter algorithm integrated with VLSI design is compelling. It demonstrates not only your technical competency but also your ability to solve complex challenges. How do you plan to bridge this advanced research in quantum sensors and VLSI design to make it accessible and engaging to students with foundational knowledge in electronics or computer engineering?

Like any field, for example quantum sensor also we need to have a VLSI design VLSI circuits there. So inside the quantum sensor we are having nothing but a what to say the electronic component only. So in that electronic component we basically need some.

Multiplayer accumulator unit and filter everything is there.

So everything is related only.

That makes sense, Professor. You're establishing a crucial connection—highlighting that even advanced systems like quantum sensors rely fundamentally on VLSI design and standard electronic components. Would you then incorporate practical examples or projects, like designing specific components (e.g., FIR filters or accumulator units), into your curriculum to help students grasp these interrelations? And how would you ensure students of varied levels keep pace with these advanced topics?

We actually.

If they are not interested, we have to make a interest to them. We by motivating them and by quoting them. What is the booming area? What is the developing area? So nowadays if you see our India government allocated large amount of. Budget for national quanta mission.

So I think this is a great idea to start, to start up also. We can start, we can do the start up also and in our institutions we can open.

Lab also especially for quantum sensor and that is my one of my dream long goal, my long goal to start a laboratory for quantum sensor.

And if possible, I will, if time permits, if possible, I can make a, a course plan also for quantum introduction, introductory courses. I can plan a plan the Lesson plan also. So like that, like that we have to motivate them, the students to create the interest among them by telling them what is the correct goal. If we if we, if we study.

Our

If we get to know this quantum computing, we can place in IBM, Intel like that because in Intel they are they already built quantum sensor chip.

So this is practical. So in the real time also we have to tell the reality of the quantum computing point of view. So the students will understood, will, will, will be understand and they will eventually they will get the interest to do this project.

That's an excellent approach, Professor. By aligning the students' learning with emerging technologies, practical applications, and tangible career opportunities, you're equipping them to see the relevance and impact of quantum computing and sensor systems. Highlighting real-world breakthroughs, such as Intel's quantum sensor chip, and linking them to India's National Quantum Mission indeed makes the subject inspiring. Your vision of establishing a laboratory dedicated to quantum sensors and designing course plans is commendable. How would you balance introducing foundational concepts for newcomers while also providing advanced material for those ready to engage in cutting-edge research within your proposed curriculum?

Yeah, that's why I told you Yali.

We have to tell the points to convince them, so they will take the lesson, they will take the course.

Nowadays everything is quantum computing only, so already all the giant companies like Intel.

Uh, yeah, so they will. They will get a no.

Certainly, Professor.

Understood, Professor. Your strategy to drive interest by connecting foundational learning to the forefront of quantum advancements is both practical and impactful. By showing students how quantum computing underpins forthcoming innovations and grounding it in real-world examples, you're setting them on a strong path for future opportunities. With that in mind, could you outline a specific strategy or activity you'd incorporate in your teaching to bridge this advanced research into hands-on learning? For example, would you involve students in mini research projects, simulations, or prototype development tied to quantum technology?

Yeah, actually we can develop the quantum gates through quiz kit software. So I'm I'm in the process of learning.

So we can simulate.

We can simulate the prototype of the quantum gates like Hadamard gate like that through whisk it we can do.

Yeah, we can, We can, we can write the Python coding also by doing that. So if we do that, we can, we can make a quantum machine learning also so that even more better opportunity for the students.

That's an excellent teaching approach, Professor. Incorporating hands-on simulations of quantum gates using software like Qiskit and integrating Python coding offers students both theoretical and practical knowledge. Introducing them to concepts like quantum machine learning will indeed open up advanced opportunities, aligning perfectly with the future workforce demands in leading technology companies. It’s clear you have a forward-thinking vision for blending advanced research with education. Is there a specific project or example you would prioritize in showcasing the relevance of quantum sensors or machine learning to inspire students immediately?

I have one work in on quantum machine learning so.

Yeah.

It is in the under review.

Understood, Professor. It's impressive to hear that you're already contributing to quantum machine learning research. Sharing your own work, once it is published, could serve as a powerful example to inspire students by demonstrating how foundational concepts evolve into advanced scientific applications. Thank you for this detailed discussion on your research and teaching methodologies. Let me conclude this segment.

Time is up! Ending the interview now.