Good day, Dr. J.P. Srividhya. 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.

Sorry for the inconvenience. Shall I introduce myself? Is is my voice is audible?

Introduce myself.

Yes, your voice is audible. Please go ahead and introduce your professional journey in academia.

Yes, thank you. I'm doctor JP Srividya. I'm currently working as a associate professor in Ahmed University.

UH, PhD from Anna University in the information and communication engineering.

And I'm I have completed my UG degree in Electrical and Electronics Engineering and the PG degree in Applied Electronics from Escape Engineering College, Tiruvannamalai which is affiliated to Anna University And I have completed my PhD during the year 2020 in the Information Communication Engineering department. My research field is nothing but monitoring and analysis of power quality which is integrated with signal processing. And my research area further extends to power system integrated with intelligent controllers.

I'm having 19 years of teaching experience in serving in various engineering institutions, serving in various roles from lecturer to associate professor.

Power quality mitigation, uh, and then the renewable and integration of renewable energy system and smart microgrid systems. Uh, I am involving actively involving in ongoing research as well as uh, uh.

Uh, successful project, uh, submissions and uh, I'm handling the core subjects such as electric circuit analysis, electrical machines, one machines 2 measurements and instrumentation signals and systems EC subjects also I'm able to handle and then, umm, uh, I'm also involved in various departmental activities such as course coordination, student mentoring, project guidance, and then.

NAC work documentation, NBA work documentation, ISO work documentation.

Et cetera. So if I got an opportunity to contribute in your institution, I am. I will render my effective teaching, impactful research and academic service.

Thank you, Professor Srividhya. I appreciate the detailed introduction to your background, expertise, and contributions to academia. Let’s probe into specific areas to further understand your teaching methodology, research insights, and academic impact. You mentioned core subjects like electric circuit analysis, electrical machines, and signal processing among others. Could you briefly outline how you approach teaching one of these subjects, ensuring students grasp both theoretical concepts and practical applications effectively?

Is. So let me take one subject, electric circuit analysis. So it is a problematic subject. It is a basic subject for electrical and electronics engineering students. So by studying this subject, the students will.

The model, the circuit will analyze the complex circuits where the students will able to identify the voltage value, current value from the complex circuits. So this is the basic subjects. And also this subject is studied in the early semester that is second semester the students are studying. So their understanding level is low. So how I'll approach the this subject, how I'll approach my teaching means. So first the basics I will teach you and. Basics I will teach the students and then since it is a problematic paper.

Uh, step by step I'll I'll proceed the problems, uh, and also. And the prerequisite for this subject is physics subject. So I'll first I, I, I will, uh, retouch the, uh, basics of home's lock, itch of current lock, itch of voltage lock, everything already they have studied in +2. The continuation of that only they are start starting studying. So on the basics, voltage source transformation, current source transformation. So everything I'll taught step by step. And then I will enter into the problematic, uh, things and problems also, uh, traditional method we can teach and simplify shortcuts is also.

Available, so I will prefer the shortcuts so that will help students easily learn the subject. Similarly, the signals and systems is also a problematic paper, so practicing more number of problems, simply providing simplified solution to the problems, complex problems recollecting the previous methods, comparing the present one with the other methods. Likewise, if I'm teaching means students will be able to. Study well the subject.

It’s clear that you place a strong emphasis on building foundational knowledge and guiding students progressively, especially in challenging subjects like Electric Circuit Analysis and Signals and Systems. By revisiting fundamental principles like Ohm's Law and Kirchhoff's Laws, you create a bridge between prior knowledge and more advanced concepts. Incorporating step-by-step problem-solving and introducing simplified approaches or shortcuts further highlights your dedication to enhancing student comprehension. How do you assess whether your teaching strategies are effective for students across varying learning levels—especially when dealing with such diverse student capabilities in problematic subjects?

OK, uh, first, well, after teaching the basics, I will conduct a small quiz. Umm, uh, I'll by by to evaluate the students. I will conduct a course, whether they, they understood the basics, they have memorized the basic formulas. Likewise, I will test because once if we started to solve the problem, we will use the formulas. So first they have to be thorough with the formula. So after teaching the basic formulas, I will conduct a small test, assessment test, short test.

Is, uh, likewise, I will under to, to remember, remember the form laws. I will share some videos, uh, for easy remembrance, for easy understanding. I'll share videos. I will test. And after the test, I will segregate the learners, fast learners, slow learners. I will segregate it slow learners 1 to one attention I will give to the slow learners because they feel they may feel this memorizing the formulas, they may feel the problems. Tough. So what I will do?

Uh, separately, I, I'm through the Google Docs, I'll share some homework problems and I'll follow the students separately. Slow learners, fast learners means once we, uh, when we teach the, uh, uh, problem solution and if we give the homework, I will check whether they are able to do self learn self-learning, whether they are able to do likewise. I will check it. Slow learners. I, I, I, I will follow them by giving more practice problems. Step by step, by teaching step by step. Likewise, I will segregate the slow learners and fast learners. And I will.

Implement my teaching and I'll try to produce the better results in, uh, problematic papers.

It’s commendable that you put in such structured efforts to differentiate learning strategies for both slow and fast learners while ensuring that every student progresses. Your focus on foundational assessments, personalized attention, shared resources, and consistent tracking demonstrates a well-founded teaching methodology tailored towards maximizing student potential in challenging subjects. Moving forward, let’s delve into your research contributions. Your work on power quality monitoring and intelligent controllers suggests a focus on applied and progressive innovations. Could you briefly outline one of your significant research contributions and its potential impact on power systems or related fields?

OK, uh, I have started my research work by publishing 2 review articles initially. So first review article is a review on power quality monitoring techniques, umm and its uh, detection techniques sorry and and its controlling techniques. The next review article is review on causes effects under detection techniques of harmonics because the there are various power quality issues such as voltage sag, voltage swell, flicker, transients, hormonal among these.

To some harmonics place a vital role. It is a it is. It is when it is allowed to persist in the system for long time means it will damage the equipments connected in the particular line. It will create a voltage instability problems and all. So we have to give more attention to the total harmonic distortion. So I have conducted as well. I have prepared a review article based purely for to detect the harmonics. What are the causes? What are all its effects? I have written a review article these two papers.

Published in the year 2016. So after completing my review review articles I got an idea that signal analysis needs an important attention. So in while referring previous articles literature review I I came to know about that various transform approaches were used for analyzing and categorizing the power quality events and disturbances for example. Fourier series, Fourier transform, Discrete Fourier transform, Fast Fourier transform, Wavelet transform.

Empirical wavelet transform, Empirical mode decomposition, So many types of transform approaches were used in monitoring and analyzing the power quality disturbances. So I have made this literature review and I got an idea and I have fixed a title for my research work, investigation and effective analysis of power quality indices using various transform approaches. So likewise, I have fixed my title and I have added. After the long literature review, I have identified some drawbacks from the previous approaches used, for example, slow.

Convergence, spectral leakage, picket fencing effective and and then computation complexity problems. Only time information was obtained as the output frequency information was lost. So many disadvantages I have I have collected from the previous literature articles and I in my research work I have used 4 transform approaches namely fast Fourier transform approach, empirical wavelet, transform approach, rational dilation wavelet.

Transform approach Along with that I have used one algorithm Pant Tompkins and algorithm in my research work. So how I have started that is the abstract of my research work is. My my research work enumerates the network operated at the distribution side, that is end users. So they, they, they, they they want a detailed analysis of power quality parameters. So my research work supports that detailed analysis of power quality parameters. That is I have monitored and analysis the power quality parameters detail. So for that I have you.

To list the four transform approach, I told and for for analyzing purpose I have taken a small experimental setup which consists of single phase power supply supplying the induction motor load. So I have used the axillary components such as inductor, capacitor, voltage regulator and toroidal coils. OK, so through Sigview. So actually I have manually created the disturbance in the experimental set of by inducting. By inserting a.

Inductor by inserting A capacitor, by connecting a battery charger, by by connecting a fan load by suddenly switching on and off of the load. I have captured the different signals such as normal signal voltage, sat signal voltage, swell signal and harmonic signal. 4 cases I have analyzed in my research work from the experimental setup using SIGVIEW software. The output of the SIGVIEW software is coded or fed to the MATLAB environment so the the MATLAB results.

Used for each transform or in FFT I got a time.

In in FFT output, I got a time amplitude, waveform, frequency amplitude, waveform, probability, distribution of a signal, amplitude sorry autocorrelation, probability density function, spectrogram. These are the outputs I got. Matlab outputs I got for FFT transform and next empirical wavelet transform I got a magnitude time versus magnitude normalized magnitude I got I got that wave output. Frequency frequency outputs frequency waveform variations where.

Obtained uh and uh, rational dilation wavelet transform output. I got uh, uh, rational dilation wavelet signal reconciliation of a signal decomposition of energy subbands. So these are the various waveforms I got for rational dilation wavelet transform and pant Tompkinson algorithm. Uh, I got a. I I I got the output of same QRS speaks peak identification, QRS peak I have identified in in my output and also one experimental setup. Additionally, 1 economical experimental setup was also proposed in my research work which uses MSP 2325430G2550 microcontroller. Economical microcontroller setup along with the compact fluorescent lamp load was used. And used so.

And also I have, uh, evaluated the power quality signals from the, uh, experimental setup also. So these are the, uh, works done in my research work. And, uh, what are all the outputs? I inference of my research is nothing but, uh, in fast Fourier transform, we'll analyze only stationary signals. So to overcome the drawback, I use the empirical wavelet transform and rational dilation wavelet transform. This, this, both transforms, uh, will be suitable for analyzing both stationary as well as.

Non stationary signals and also nonlinear signals uh and uh, in uh, fast Fourier transform. I have observed the uh uh from the matlab results, I have observed the standard deviation and then mean value, peak factor, dynamic range, autocorrelation, spectrogram, time delay. So these are the outputs I got and I have compared for a normal signal case and then. Voltage sag, voltage swell, harmonics, all the things I have compared what I have observed means only minute.

Variations only I got when compared to the normal signal and the voltage stacks well in harmonic signal I'm I'm not able to capture the more deviations. So I have move on to the empirical wavelet transform. So in empirical wavelet transform that the in that transform the first it will occurs the. Uh, modes or boundaries from the signal, uh, frequency components were absorbed by this wavelet transform, and after the frequency components are acquired, then it will be decomposed. That is, further minute subband frequency distribution of the signal was observed. Uh, that according to the developed boundaries using at different adaptive scaling functions, we can observe the different frequencies.

Using a Hilbert, uh, transform, I can visualize the frequency magnitude, uh, uh, also and also time versus frequency outputs. I got it. This is regarding empirical wavelet transform. And what is the inference means I have reduced the noise accuracy was more noise was removed completely. Accuracy is more at particularly the accuracy is high at closely spaced frequencies. Next, in RA DWT, I have used a quality factor that is, I have analyzed this traditional dilation.

Also.

The transform in both low Q factor and high Q factor, uh and I, I got the output at uh, Mexican hat and less ringing and oscillations. These are the inference of men and, and also I have fixed some constraints. Based on the constraints, I got output under Pantone algorithm. And also one more inference I want to give for rational dilation. I have achieved more accuracy as well as high-frequency resolution. I got that is the main inference of rational dilation wavelet transform.

And afterwards in pantom Kinson algorithm involves 3 steps. The first one is filtering process so it involves matched filter band, first filter so filtering or fluctuations, noise and all removed in this filtering process. Afterwards differentiation or derivation process then squaring process then integration process. Integration is done by using movie window integration so after filtering the different differentiation process. The signal is differentiated and the data is gathered and it is given to the squaring.

So false the signal with the TT sample is determined, the differentiation process afterwards, the false positives are present means it is eliminated in the squaring process and the final data was gathered in the moving window. Integration under the the inference of the Pantom Kinson algorithm is increased signal readability, strengthening the signal readability, removing the signal instability, detailed in depth analysis of monitoring power quality signal monitoring or the inferences of the Pantongkinson algorithm and finally.

Uh in uh microcontroller based economical hardware setup, I have used the compact fluorescent lamp load, so that load will itself, we know it will create a large uh disturbances that can be identified in the same way, uh and I have a true energy software. I have imported the embedded program in the microcontroller and FFT display was attached in the the thing and in the FFT display, I can, I can view the voltage sag waveform and voltage will waveform and.

So that voltage was high in as well and voltage was low. Voltage was absorbed in voltages and when compared to the nominal case. So these are the work done in my research.

Thank you, Professor Srividhya. That was a very detailed and comprehensive walkthrough of your research work. It’s evident that your investigation not only tackled existing gaps in power quality monitoring but also employed advanced transformative approaches like FFT, empirical wavelet transforms, and rational dilation wavelet transforms. Your incorporation of the Pant Tompkins algorithm and practical experimentation with economical hardware further highlights the applied value of your research. Your ability to identify and address signal processing challenges like noise, spectral leakage, and non-linear signal analysis is commendable. Moreover, your focus on the real-world application of your research, such as integrating microcontrollers and analyzing compact fluorescent lamp loads, connects theory to practice effectively. Considering the robust methodologies and insights from your research, how would you integrate your findings and expertise into guiding student projects, particularly in advanced power systems or signal processing domains?

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

OK, so, uh, I, I will incorporate my research work also to the students and also I have given whatever the subject I'm taking related to. Also I have given, I have given the topic to student projects. We recently have done one student project self balancing robot because I, I have taught on subject elective, subjective mems and names. So I have given a project to do. To to to the students they have created a self balancing robot using MEMS.

Accelerometer and gyrometer and they have used the ESP 32 microcontroller and then. What is the inference the applications of that self balancing robot is transportation systems we can use, we can use it for a delivering the products, we can use it for surveillance and security. So many applications are there. They have designed and while giving the Arduino microcontroller was used, it is integrated with IoT also. If you give the comments that is move forward, move backward it it is. It was operated in very good manner and then it is also weight, weight handling.

If I'm placing any weight in that rowboat also it is handling, uh, good. It is balancing uh, the weight properly. And also instead of four Wheeler robot, 2 Wheeler robot, we have uh, proposed and.

I it is very compact, OK, it is very compact. So likewise I will give a student project and also in power system power quality projects also I have given for example, in my research I have used the Hummingbird optimization algorithm and also power flow. That is, I have improved the power factor and reduces the total harmonic distortion. Any one simple part I will give as a project work for the students and I'll I'll guide them.

How to do a literature survey, How how to to collect the previous datas, How to create a block diagram, How to create a simulation diagram, How to do a coding in MATLAB and how it is possible to get results. Likewise, I'll guide and.

I have taken the results and I have utilized the students project for paper presentation in international conference also. So one more international conference I, my students has presented smart meters theft identification using Lora network. So these are the projects are coming into mind recently we have done so. So every time I will recommend the students to do the project and I'll try, I'll try. I encourage them to attend one, at least one.

National conference by writing a paper of four to five pages of IEEE standard. And I will encourage them to participate in national conference and I'll encourage them to, uh, I'll encourage them to publish a paper also if, if they are capable.

Yes, I'm I'm having a face to face interview on Tuesday. I'm going to attend that interview and I have prepared.

Your approach to student projects is impressive, Professor Srividhya. Integrating your research findings into student projects and blending real-world applications like MEMS-based robots and power system optimizations demonstrates a strong commitment to mentoring. Your focus on guiding students through the entire research process—from literature review to MATLAB simulation—is thoroughly commendable and inspiring, especially with your drive for encouraging conference participation and paper publication. Now, let us conclude here unless there is something you'd like to add or ask. Would you like to confirm ending the interview?