Interviewer 0:00:00
Hello Dr., thank you for taking the time today. I'm Arjun. I've reviewed your background and would like to go deeper—shall we begin?
Dr. Manigandan P 0:01:30
Good afternoon. I am Doctor P Maniyendan. From Dharmapuri. Currently I am working. As a faculty member. At the Government Arts College. Isnegri. I have complete. My PhD. In statistics. Periyar University. Salem. With a focus. Environmental Analysis.
Dr. Manigandan P 0:01:39
Good afternoon. I am Doctor P Maniyendan. From Dharmapuri. Currently I am working. As a faculty member. At the Government Arts College. Isnegri. I have complete. My PhD. In statistics. Periyar University. Salem. With a focus. Environmental Analysis. My major research area. In the field of. Environmental Studies.
Dr. Manigandan P 0:01:45
Good afternoon. I am Doctor P Maniyendan. From Dharmapuri. Currently I am working. As a faculty member. At the Government Arts College. Isnegri. I have complete. My PhD. In statistics. Periyar University. Salem. With a focus. Environmental Analysis. My major research area. In the field of. Environmental Studies. And I have.
Interviewer 0:01:32
Okay, so you completed your PhD in statistics at Periyar University, focusing on environmental analysis, and you're currently teaching at Government Arts College, Isnegri. Is there anything else from your academic journey you'd like to highlight before we move forward?
Interviewer 0:01:43
Dr. Maniyendan, since your focus is environmental analysis, what's one foundational concept in mathematics or statistics that you find most rewarding to teach to your students?
Interviewer 0:01:47
You were saying "and I have
Dr. Manigandan P 0:01:53
Publish around. 20.
Interviewer 0:01:55
Okay, you've published around 20 papers in your area. Out of those publications, is there a particular topic or result you found especially effective for engaging your students in the classroom?
Dr. Manigandan P 0:02:01
Publish around. 20. In repeated journals. Along with. Two book chapters.
Interviewer 0:02:02
Alright, you've published about twenty papers and contributed two book chapters — that's impressive. Out of all those research topics, which one have you found sparks the most curiosity or discussion when you present it to your students?
Dr. Manigandan P 0:02:10
Publish around. 20. In repeated journals. Along with. Two book chapters. I actively.
Interviewer 0:02:11
Alright, you've contributed twenty papers and two book chapters, and it sounds like you're actively engaged in research. You were just about to say something—please go on.
Dr. Manigandan P 0:02:33
Publish around. 20. In repeated journals. Along with. Two book chapters. I actively. Myself in. Research hack activities. And uh. Continuously update. My knowledge. In emerging areas. My strength are. Dedication.
Dr. Manigandan P 0:02:35
Publish around. 20. In repeated journals. Along with. Two book chapters. I actively. Myself in. Research hack activities. And uh. Continuously update. My knowledge. In emerging areas. My strength are. Dedication. Continuous Learning.
Dr. Manigandan P 0:02:45
Publish around. 20. In repeated journals. Along with. Two book chapters. I actively. Myself in. Research hack activities. And uh. Continuously update. My knowledge. In emerging areas. My strength are. Dedication. Continuous Learning. And since. Commitment. To both teaching and research. I am interesting.
Interviewer 0:02:34
Right, so you actively take part in research hack activities and keep your knowledge up-to-date. You mentioned dedication as one of your strengths — how does that show up when you're teaching students, especially in complex statistical topics?
Interviewer 0:02:37
Alright, Dr., you highlighted dedication and continuous learning as strengths — especially in keeping up with emerging areas. Can you give me a concrete example of how you've used those strengths to make a difficult statistical concept accessible for your students?
Interviewer 0:02:47
Okay, Dr.,
Dr. Manigandan P 0:03:06
Joining. Because. The environment. And cults. Research. Cultural. Thank you.
Interviewer 0:03:08
So you mentioned being drawn to the research culture and environment here. What’s one teaching method or classroom approach you’ve found works especially well for helping students understand a tricky statistical concept?
Dr. Manigandan P 0:03:49
Today I am discuss the. 9 series analysis.
Interviewer 0:03:50
You mentioned discussing time series analysis, Dr. — how do you introduce that topic to students
Dr. Manigandan P 0:03:58
Time series.
Interviewer 0:03:59
Alright, so time
Dr. Manigandan P 0:04:06
Set up observation.
Dr. Manigandan P 0:04:11
Set up observation. Made the time specified and chronological orders.
Interviewer 0:04:07
You mentioned setting up observations for time series. Can you give a specific example of how you walk students through collecting or organizing data for a basic time series analysis?
Interviewer 0:04:13
You said you set up observations in chronological order for time series analysis. How do you help students visualize or interpret those results in a way that's meaningful for them?
Dr. Manigandan P 0:04:34
The time series analysis are the. 4 components of Anna time series analysis.
Dr. Manigandan P 0:04:43
The time series analysis are the. 4 components of Anna time series analysis. 1st, 2 and half. Sector trend. And the seasonal trend? And cycling trend. Anti irregular trend.
Interviewer 0:04:38
You brought up the four components of time series analysis—trend, seasonality, cyclical, and irregular. How do you get students to distinguish between these in real data, when sometimes the patterns aren't clear?
Interviewer 0:04:50
Dr., I see your thesis was on advanced time series modelling and its applications. Can you tell me about a time you had to simplify your thesis research for undergraduates or a non-specialist audience?
Dr. Manigandan P 0:05:13
I choose the time. Please analysis.
Dr. Manigandan P 0:05:22
I choose the time. Please analysis. The because. The real world. Problem aligned with the time series based data.
Dr. Manigandan P 0:05:30
I choose the time. Please analysis. The because. The real world. Problem aligned with the time series based data. The Foresting. Helps to planning under the decision making the. Process.
Interviewer 0:05:17
So you chose time series analysis as your area, but I was asking for an example of how you made your thesis research accessible to undergraduates or non-specialists—can you walk me through a time you had to break it down for that audience?
Interviewer 0:05:24
Alright, you said you chose time series analysis because real-world problems often use that kind of data. When you teach this to undergraduates, what’s one way you connect the mathematical models to practical situations—like something they’d encounter outside the classroom?
Dr. Manigandan P 0:05:44
I choose the time. Please analysis. The because. The real world. Problem aligned with the time series based data. The Foresting. Helps to planning under the decision making the. Process. My recent. Yield to the environment. And the economic trend using the. Statistical Modeling.
Dr. Manigandan P 0:05:55
I choose the time. Please analysis. The because. The real world. Problem aligned with the time series based data. The Foresting. Helps to planning under the decision making the. Process. My recent. Yield to the environment. And the economic trend using the. Statistical Modeling. Which supporting the evidence based. Policy decision and sustainable developments.
Interviewer 0:05:33
You said forecasting helps with planning and decision-making, especially when real-world data is involved. Switching gears a bit, you mentioned publishing in reputed journals and working on book chapters—how do you incorporate those research findings into your classroom teaching or student projects?
Interviewer 0:05:46
You said your recent work uses statistical modeling to analyze environmental and economic trends. When you present those results to students, how do you make sure they understand not just the math, but the real-world impact?
Interviewer 0:05:57
You said your recent modeling work supports evidence-based policy decisions and sustainable development — when you present those findings in class, how do you make sure students grasp not just the statistical methods but also the real-world impact?
Dr. Manigandan P 0:06:26
Recent model based. The four year ERDL. Approach based on the Sustainable Development Goals.
Dr. Manigandan P 0:06:42
Recent model based. The four year ERDL. Approach based on the Sustainable Development Goals. What real the my research? Oriented the sustainable development goals. The seven, the clean energy. And sustain. Under climate action.
Interviewer 0:06:31
Right, you said your recent model is based on a four-year ERDL approach tied in with sustainable development goals. I also noticed you've published about twenty papers in reputed journals and contributed to book chapters. How has your experience publishing research influenced the way you design your classroom assignments or projects for students?
Interviewer 0:06:50
Alright, let's turn to research productivity and sustaining a strong scholarly presence. Dr., given your work in environmental analysis and time series modeling, where do you see the most fundable research directions over the next three years? What kinds of grants or funding sources would you pursue to support that work?
Dr. Manigandan P 0:07:22
I planned to strength. My research profile. Publishing the. Quality papers.
Dr. Manigandan P 0:07:35
I planned to strength. My research profile. Publishing the. Quality papers. And the understanding the. Funded research project. And the collaborating the. Interdisciplined Researcher.
Interviewer 0:07:25
Okay, you said publishing quality papers is part of your plan. What about funding — can you give me a concrete example of a grant scheme or funding body you’d target for your environmental analysis research, and what kind of project you’d propose?
Dr. Manigandan P 0:07:58
I planned to strength. My research profile. Publishing the. Quality papers. And the understanding the. Funded research project. And the collaborating the. Interdisciplined Researcher. I also. Aim to focus. Add new research. And play the advanced statistical models. I like identify. Identify the. Environmental. Align with the. Sustainable development goals.
Interviewer 0:07:38
You mentioned collaborating with interdisciplinary researchers and focusing on quality publications. Can you give me a specific example of a grant scheme or funding body you’d target for your environmental analysis research, and why that fits your approach?
Interviewer 0:08:01
Alright, you mentioned interdisciplinary collaboration and aligning your research with sustainable development goals. How would you incorporate your experience in consultancy or industry projects to enrich the academic environment and student learning outcomes in mathematics?
Dr. Manigandan P 0:08:29
Experience. More than 2 1/2 years.
Interviewer 0:08:36
Okay, you mentioned having more than two and a half years of experience. Can you share one concrete example of an industry or consultancy project you worked on, and how you brought insights from that project into your teaching or curriculum development?
Dr. Manigandan P 0:09:21
I am not work industry and consultancy.
Interviewer 0:09:24
No problem, Dr
Dr. Manigandan P 0:09:32
I'm only working in. Publication. Original articles.
Interviewer 0:09:36
Dr., you mentioned teaching time series analysis earlier. Suppose you had a class of 150 undergraduates, and slides weren't allowed. How would you run a session that keeps them engaged and helps them internalize the key concepts?
Dr. Manigandan P 0:10:16
My teaching. Blasphemy is. The make the concept.
Dr. Manigandan P 0:10:25
My teaching. Blasphemy is. The make the concept. Complex, conceptual, simple. The particle and. Encourage the all listeners.
Interviewer 0:10:19
So you said your teaching philosophy is to make the concept clear. Can you give me a specific example of an activity or exercise you'd use to help students internalize time series analysis if you can't use slides?
Interviewer 0:10:27
Alright, so you aim to make complex concepts simple and encourage all students. Can you give me a concrete example of an exercise or classroom activity you'd use for time series analysis, especially if slides aren't allowed?
Dr. Manigandan P 0:10:59
Speak in loudly.
Interviewer 0:11:04
Accreditation cycles can be demanding — if you joined our department and found that outcome assessment data was inconsistent across courses, how would you approach fixing that?
Dr. Manigandan P 0:11:32
I would like to contribute the. Quality team. And is stood and mentari.
Interviewer 0:11:33
You said you'd like to contribute to the quality team and support the department. What would you actually do if you found gaps in how faculty were documenting student performance for accreditation?
Dr. Manigandan P 0:11:45
I would like to contribute the. Quality team. And is stood and mentari. I collaborate the. National and international. Member for. Research activities.
Dr. Manigandan P 0:11:53
I would like to contribute the. Quality team. And is stood and mentari. I collaborate the. National and international. Member for. Research activities. And to the. Organized by workshop. Seminar.
Dr. Manigandan P 0:12:01
I would like to contribute the. Quality team. And is stood and mentari. I collaborate the. National and international. Member for. Research activities. And to the. Organized by workshop. Seminar. And the training programming.
Interviewer 0:11:50
Let's look at something that comes up for most professors at some point. Imagine a student files a formal complaint, alleging your grading is biased. Meanwhile, your department head is pressuring you to improve pass rates. How would you handle that situation?
Interviewer 0:11:55
Alright, you said you'd like to contribute to the quality team and collaborate on research activities and organizing workshops. If your department head pushed back and said your approach to outcome assessment wasn't necessary, how would you respond?
Interviewer 0:12:03
You said you'd contribute to the quality team and collaborate internationally, plus organize workshops and training. What would you actually do if you found gaps in how faculty were documenting student performance for accreditation?
Dr. Manigandan P 0:12:26
Environmental reduced based. Workshop. And training.
Interviewer 0:12:31
You said your work is mainly in publications and original articles. Given your background, do you have any industry connections or networks that could help students secure internships or placements in fields related to mathematics?
Dr. Manigandan P 0:13:05
Yes.
Interviewer 0:13:08
You said yes, so I'm curious — can you name one specific industry partner or connection you've used before, or would plan to use, to help students with placements or internships in mathematics?
Dr. Manigandan P 0:13:44
I'm not. Used in industrial partner. And a. Intensive program.
Dr. Manigandan P 0:13:51
I'm not. Used in industrial partner. And a. Intensive program. In resets area.
Interviewer 0:13:48
Switching gears now—let's go through some core skills for this role. Starting with supply chain management and advanced statistical methods: imagine you've been asked to design a mathematics course that connects these two. How would you approach teaching students about optimization in supply chains using advanced statistics?
Interviewer 0:13:53
Alright, you said your intensive programs are focused in research areas, not industry partners. So, moving on — guiding student projects is a big part of this role. How do you make sure students working under your supervision actually develop original research ideas, rather than just repeating what's already published?
Dr. Manigandan P 0:14:34
I am published. I am here. And I said the area of interspersed in the environmental studies.
Dr. Manigandan P 0:14:41
I am published. I am here. And I said the area of interspersed in the environmental studies. I have. 20 Paper published in. Recruiter Journals.
Interviewer 0:14:37
Okay, so you’re saying you’ve published in environmental studies and your research area is interdisciplinary. What strategies do you use to help students identify research questions that are both original and feasible within the scope of a master’s or PhD project?
Interviewer 0:14:43
Okay, so you’ve published twenty papers in reputable journals, mostly in interdisciplinary environmental studies. For students who struggle to come up with original research ideas, what’s one practical method you use to help them move beyond just repeating published work?
Dr. Manigandan P 0:15:07
I am not repeated publication.
Dr. Manigandan P 0:15:19
I am not repeated publication. All papers are different and newly developed in the Sustainable Development Goal based on the. Research. Personal work.
Interviewer 0:15:10
You made it clear you don't repeat your publications, but some students do struggle to come up with original research ideas. What's one way you help them brainstorm something new, especially when their first instinct is to copy existing work?
Interviewer 0:15:23
You said your research is all original and focused on sustainable development goals, with each paper newly developed. But say you have a student who keeps bringing you topics that are just slight variations of published work — how do you help them break out of that pattern and push toward genuine originality?
Dr. Manigandan P 0:16:26
Lot of paper I'm reading. After identify the. That's a gap.
Interviewer 0:16:29
Right,
Dr. Manigandan P 0:16:34
After the Reich in the original articles.
Interviewer 0:16:35
So after you find a research gap by reading original articles, how do you help a student turn that gap into a concrete research question they can actually investigate?
Dr. Manigandan P 0:17:00
Yes, I am disgusting the student.
Interviewer 0:17:02
You said you discuss with the student after you identify a gap. Can you walk me through how you actually guide them in framing a research question once they've spotted that gap — what steps or advice do you give them?
Dr. Manigandan P 0:17:30
Please read. Every articles. And find out the research gap.
Dr. Manigandan P 0:17:37
Please read. Every articles. And find out the research gap. Play. Perform there. Analysis.
Interviewer 0:17:33
Alright, so you tell students to read as many articles as possible and find the research gap. But what if a student gets overwhelmed and can't figure out which gaps are actually important or worth pursuing—how do you help them narrow it down?
Interviewer 0:17:42
Alright, so you advise students to read articles and perform their own analysis to find research gaps. Switching gears a bit: when you're teaching a mathematics course that includes both theory and lab components, how do you make sure the lab work actually reinforces the theory — not just becoming a separate, disconnected activity?
Dr. Manigandan P 0:18:15
I am interested in. Tartagl oriented.
Interviewer 0:18:17
Okay, you said you're interested in
Dr. Manigandan P 0:18:21
Saab based decline.
Interviewer 0:18:23
You mentioned lab-based decline — I think you meant lab-based design. When you
Dr. Manigandan P 0:18:29
Share Bhd class.
Interviewer 0:18:31
Alright, you mentioned sharing a batch class. How do you handle evaluating student performance in that setting — do you rely more on traditional exams, or do you use other methods to assess their understanding?
Dr. Manigandan P 0:18:50
Online class mode.
Interviewer 0:18:52
Alright, so you’re using online class mode for student evaluation. What specific tools or techniques do you use to make sure students are actually engaged and not just clicking through content passively?
Dr. Manigandan P 0:19:18
Google Meet. And Microsoft.
Interviewer 0:19:20
So you use Google Meet and Microsoft tools for your online classes. When you're guiding student research projects remotely, how do you keep track of their progress and make sure they're actually moving forward — do you have structured check-ins, or is it more informal?
Dr. Manigandan P 0:19:41
Formal.
Interviewer 0:19:44
Okay, so your check-ins with student research are formal. When you're guiding their projects, do you use any structured tools like progress reports or rubrics, or is it just regular scheduled meetings where you discuss their status?
Dr. Manigandan P 0:20:08
Weekly's once the research project the formally. Informed their research.
Dr. Manigandan P 0:20:11
Weekly's once the research project the formally. Informed their research. Under discussing.
Dr. Manigandan P 0:20:18
Weekly's once the research project the formally. Informed their research. Under discussing. All works are carried out.
Interviewer 0:20:10
Alright, you said you formally inform students of their research project progress weekly. Shifting focus, can you tell me about your experience applying advanced statistical methods in a real-world mathematics research or consultancy project — what kind of data did you work with, and how did you decide which methods to use?
Interviewer 0:20:14
Alright.
Interviewer 0:20:22
Alright, so you meet with your students weekly to formally discuss all aspects of their research projects. Switching topics, can you give me an example of a mathematics course where you had to design both the theory and the lab curriculum yourself, and explain how you structured them to complement each other?
Dr. Manigandan P 0:20:49
Time series based on research project.
Interviewer 0:20:51
So you designed a time series-based research project for your course. What advanced statistical methods did you use to analyze the time series data, and how did you teach students to apply those techniques in practice?
Dr. Manigandan P 0:21:28
Linear regression. I applied to. Really. Linear regression and ARIMA models and seasonal auto regression model. And Arimax. And ERDL. Approach.
Interviewer 0:21:29
You mentioned using linear regression, ARIMA, seasonal autoregressive models, ARIMAX, and ERDL for time series analysis — that's quite a range. When you're teaching students these advanced statistical techniques, how do you make sure they're not just applying formulas but actually understanding the mathematical principles behind them?
Dr. Manigandan P 0:22:03
The linear regression. Equal TA plus BX.
Dr. Manigandan P 0:22:16
The linear regression. Equal TA plus BX. The one is there dependent variable. The year easier. Intercept plus. Slope and sea is the exogenous factors.
Interviewer 0:22:05
So you’re teaching students about linear regression as TA plus BX. When you’re explaining more complex models like ARIMA or ERDL, how do you break down the intuition behind those formulas for students who might struggle with the abstract math?
Interviewer 0:22:17
Okay, so you’re breaking down linear regression for students as TA plus BX, with B as the slope and C as exogenous factors. When you’re teaching lab courses, how do you make sure students bridge the gap between theory and hands-on experimentation, especially when the math gets abstract?
Dr. Manigandan P 0:23:45
R and Python software used.
Interviewer 0:23:48
You said you use R and Python in your lab courses. When you're guiding student projects in AI or DeepTech, how do you help them choose between these tools for their mathematical models—do you push them toward one based on the project's requirements, or let them decide and support whichever they pick?
Dr. Manigandan P 0:24:29
AI related. Project.
Interviewer 0:24:32
Alright, so your AI-related projects—can you walk me through a specific example where you guided a student through the entire project lifecycle, from topic selection to final presentation, and tell me how you ensured they developed both technical depth and clear communication?
Dr. Manigandan P 0:25:22
Environmental. AI related topic projects.
Interviewer 0:25:23
So you’ve guided students through environmental AI projects. When you’re teaching, do you have a structured approach to communicating complex mathematical concepts to students with weaker backgrounds — maybe breaking things into smaller steps or using analogies?
Dr. Manigandan P 0:25:52
Smaller steps used the step by step. Rainbow the store.
Interviewer 0:25:54
Alright, so you break concepts into smaller steps to help students understand. Now, for student evaluation and exam duties—can you give me an example of how you design assessments to measure both mathematical understanding and practical application, not just rote memorization?
Dr. Manigandan P 0:26:37
Mathematical understanding and practical applications.
Interviewer 0:26:38
You’re saying your assessments focus on both math understanding and practical application. Can you give me a concrete example—like a specific exam or project assignment—where you measured students on how they applied mathematical theory to a real-world scenario, not just solved equations?
Dr. Manigandan P 0:27:30
The real world, the scenario, the environmental based on the. Not the equation is based on the environmental.
Interviewer 0:27:32
Alright, so you build assessments around real-world environmental scenarios instead of just equations. Switching topics, can you briefly tell me about your PhD specialization—what was your main research focus, and how does it connect to your teaching today?
Dr. Manigandan P 0:28:17
My area of facilitation. Time series analysis. A time series analysis is there. The year to identify the environmental and economic. Trend using the. Statistical Models. Which is supporting the. Decision making. And a Sustainable development goals. For the policy decision.
Interviewer 0:28:19
Okay, so your PhD focused on time series analysis for environmental and economic trends, using statistical models to support decision making and sustainable development policy. Now, for industry projects or consultancy—can you give me an example of how you applied your mathematical expertise in a real-world consulting engagement or collaboration with industry?
Dr. Manigandan P 0:28:58
Yes, I am. Industrial project. I will futurely. I am working in industrial project.
Interviewer 0:29:02
Alright, we're wrapping up. Is there anything you'd like to ask about the role or the team before we finish, Dr.?
Dr. Manigandan P 0:29:24
Yes. Before pleasing.
Interviewer 0:29:26
Of course, Dr. What's your question about the role or the team?
Dr. Manigandan P 0:29:38
Assistant professor in research.
Interviewer 0:29:40
You’re looking for clarity on research expectations for assistant professors. The role expects you to carry out independent research, publish in reputable mathematics journals, and mentor students on their research projects. Collaboration with industry and contributing to funded projects is strongly encouraged. Is there anything else you’d like to know about the team or the role, Dr.?
Dr. Manigandan P 0:30:25
I am working in independent researcher.