January Updates
I was delighted to be part of the National Seminar on “Functional Materials for
Futuristic Innovations (NSFFMI-2026)” organized by the Postgraduate
Department of Physics, St. Stephen’s College, Pathanapuram, held on 29–30 January 2026. It was a pleasure to
deliver a lecture as a Resource Person on “Two-Dimensional Nanomaterials: Redefining the
Future of Fuel Cell Technology” and to interact with enthusiastic
students, researchers, and faculty members. The seminar provided an excellent
academic platform for meaningful discussions on emerging materials and their
role in future technologies. I sincerely thank Dr. Aswathy P. Pillai, Dr. Rini Varghese, and the entire Department of Physics team for their meticulous planning
and warm hospitality. My gratitude also goes to the Principal, Dr. Biju A., the organizing committee members,
and all those who worked behind the scenes to make the event a success. I am
happy to have been part of this vibrant academic gathering and to share a few
memorable moments and snapshots from the seminar. Such initiatives truly
strengthen collaborative learning and research culture.
Presentation Time Structure
Each paper will follow the format below:
-
8 minutes – Oral presentation
-
2 minutes – Questions from the Chair
-
Up to 1 minute – Questions/comments from the audience (if time permits)
⏱️ Time discipline is mandatory. Presentations exceeding the allotted time will be gently stopped to ensure fairness to all presenters.
Mandatory Presence Till Session End
-
All presenters are required to remain present for the entire session, irrespective of their individual presentation slot
Feedback & Reflection Requirement
At the end of the session, each presenter must submit a brief feedback/reflection response, addressing general academic questions
Your cooperation is appreciated in maintaining
-
Time discipline
-
Respect for fellow presenters
This session aims to be interactive, reflective, and intellectually enriching for everyone involved.
List of Presentations
-
Assessment of PM₂.₅ and PM₁₀ concentrations and their association with meteorology along three years in South India: Insights from Machine Learning ModelsDr. Raghavendra KumarAssociate Professor, Engineering Physics, KLEF, Andhra Pradesh
-
Spatiotemporal Variations in Aerosol Extinction Coefficients and Their Subtypes Over Andhra Pradesh, South India retrieved from CALIPSO ObservationsPelati AlthafResearch Scholar, Engineering Physics, KLEF
-
Spatiotemporal Variations in Pollutant Levels Across South India During the COVID-19 Lockdown: A Comparative Study Using Ground and Satellite Data with a Machine Learning ApproachDr. N. S. M. P. Latha DeviAssociate Professor, Engineering Physics, KLEF
-
Atmospheric Chemistry of Ozone–Methane Interactions: Implications for Ozone Depletion and Climate ForcingBalamanikandan R.Research Scholar, BITS Pilani (Hyderabad)
-
Energy Transition, Climate Change, and Sustainable Development: Global Research Trends and Evidence from Kerala’s Power SectorShanimol EmersonPhD Scholar, Department of Economics, Govt. College for Women, Thiruvananthapuram
-
Assessment of Olla Pot Microbial Fuel Cells as an Irrigation System for Cluster Bean Plant Growth along with Green Energy ProductionShijinachandranResearch Scholar, CPCEE, Pondicherry University
-
Exploring the Role of Algae in Clay-Based Proton Exchange Membrane for Microbial Fuel CellsM. VishnupriyadharshiniResearch Scholar, CPCEE, Pondicherry University
Integrating Artificial Intelligence in Science Research: Tools and Techniques
Programme
Schedule
|
Day 1: 06/01/2026, Tuesday
|
|
|
9.00-9.15
am |
:Inauguration
and welcome address |
|
9.15
- 10.45 am |
:Introduction to Artificial Intelligence
and Machine Learning |
|
Resource
Person |
Dr. Vinod Chandra Professor, Department of Computer Science,
University of Kerala |
|
10.45 – 11.00 am |
Tea break |
|
11.00
– 12.30 pm |
: Building Curriculum Using AI tools Overview of AI in higher education |
|
12.30
– 1.30 pm |
:Exploring AI curriculum frame works, Tools: ChatGPT/Gemini/Copilot |
|
Resource person |
Jishnu Unni C Knowledge Officer, ICTAK Corporate Trainer |
|
1.30
– 2.00 pm |
: Lunch break |
|
2.00
pm – 3.30 pm |
:
Python Foundations of AI Basics
of python: data types, file I/0 |
|
3.30-3.45
pm |
:
Tea break |
|
3.45
– 5.15 pm |
: Functions, modules, OOP concepts Use
cases
|
|
Resource
Person |
Dr. Sajil C K Knowledge Officer, ICTAK Corporate Trainer |
|
Day 2: 07/01/26, Wednesday
|
|
|
9
- 10.30 am |
: Brain
Computing Interfaces
|
|
Resource
Person |
Dr. Sumithra
S Professor,
Department of Mathematics Indian
Institute of Space Science and Technology |
|
10.30
– 10.45 pm |
Tea break |
|
10.45
– 11.45 pm |
: Content
creation with AI · AI-assisted
lesson and multimedia creation |
|
11.45
– 1.15 pm |
: Generating visuals and diagrams using
DALL-E Using AI to generate quizzes and
simulations for science topics |
|
Resource Person |
Manoj C M Knowledge Officer, ICTAK Corporate Trainer |
|
1.15-2.00
pm |
Lunch break |
|
2
– 3.30 pm |
: Data
handling and visualization in python ·
Pandas for data cleaning and
structuring
|
|
3.30 – 3.45 pm |
Tea break |
|
3.45
– 5.15 pm |
Visualization
with Matplotlib and Seaborn |
|
Resource
Person |
Riji N Das Head-Knowledge
Officer ICT Academy
of Kerala |
|
Day 3: 08/01/26, Thursday
|
|
|
9.00-10.30
am |
:
Neuromorphic technologies from materials to applications |
|
Resource
Person |
Dr. Jinesh
K B Professor
and Head Department
of Physics, IIST |
|
10.30
– 10.45 am |
Tea
break |
|
10.45
– 11.45 am
|
: Automating
Assessments and Grading ·
Gen AI tools for automated
question generation and evaluation |
|
11.45
– 1.15 pm |
: Designing
rubrics and grading scripts with GenAI Tools |
|
Resource
Person |
Jishnu Unni C Knowledge Officer, ICTAK Corporate Trainer |
|
1.15-2.00
pm |
Lunch break |
|
2
– 3.30 pm |
:Introduction
to Machine Learning Scikit-learn
basics and ML pipelines |
|
3.30 – 3.45 pm |
Tea break |
|
3.45–5.15
pm |
:Hands-on:
predict scientific outcomes
|
|
Resource
Person |
Dr. Sajil C K Knowledge Officer, ICTAK Corporate Trainer |
|
Day 4: 09/01/26, Friday
|
|
|
9.00-10.30
am |
: Leveraging AI
in Scientific Research
|
|
Resource
Person |
Prof.
Asharaf S Dean (academic) and Professor Digital University Kerala |
|
10.30
– 10.45 am |
Tea break |
|
10.45
– 11.45 am
|
: Enhancing
student engagement with AI ·
Conversational AI for
science labs
|
|
11.45 -1.15 pm |
: AI in
gamification and simulation based learning
|
|
Resource
Person |
Manoj C M Knowledge Officer, ICTAK Corporate
Trainer |
|
1.15
– 2.00 pm |
Lunch break |
|
2
– 3.30 pm |
Deep Learning Frameworks · Tensor flow and
Keras basics |
|
3.30
– 3.45 pm |
Tea break |
|
3.45
– 5.15 pm |
Build a simple ANN models for scientific
data |
|
Resource
Person |
Riji N Das Head-Knowledge
Officer ICT Academy
of Kerala |
|
Day 5: 10/01/26, Saturday
|
|
|
9.00
– 10.30 am |
Quantum Computing |
|
Resource
Person |
Dr. Ashok
Kumar Associate
Professor Department of
Physics IIST |
|
10.30
– 10.45 am |
Tea
break |
|
10.45
– 11.45 am
|
:Feedback and
Learning Analytics Using AI ·
Collecting and analysing
student feedback using AI |
|
11.45
- 1.15 pm |
·
Dashboards and analytics
with power BI/Google Data Studio
|
|
Resource Person |
Jishnu Unni C Knowledge Officer, ICTAK Corporate Trainer |
|
1.15
- 2.00pm |
Lunch break |
|
2
– 3.30 pm |
: PyTorch and Applied AI · PyTorch workflow
and transfer learning |
|
3.30
– 3.45 pm |
Tea break |
|
3.45
– 5.15 pm |
: Use pre-trained models for scientific
image classification |
|
Resource
Person |
Dr. Sajil C K Knowledge Officer, ICTAK Corporate Trainer |
|
Day 6: 12/01/26, Monday
|
|
|
9.00
– 10.30 am |
:AI for
Research and Publication Support ·
AI tools for literature
review and citation management |
|
10.30
– 10.45 am |
Tea break |
|
10.45– 11.45 am |
:Summarization
and paper drafting with GenAI Tools ·
Ethics and academic
integrity in AI-assisted research
|
|
Resource
Person |
Manoj C M Knowledge Officer, ICTAK Corporate
Trainer |
|
11.45 – 1.15 pm |
: AI and bioinformatics:
Key to Biomedical Research |
|
Resource
Person |
Team: Dr. Sheeba K and Dr. Sherin K |
|
1.15
- 2.00 pm |
Lunch break |
|
2.00
– 3.30 pm |
:Capstone Project Participants develop a mini project
combining python and AI for a science
use cases |
|
3.30
- 3.45 pm |
Tea break |
|
3.45
– 5.15 pm |
: Capstone Project (Contd…) ·
Participants develop a mini project combining python
and AI for a science use cases |
|
Resource
Person |
Riji N Das Head-Knowledge
Officer ICT Academy
of Kerala |
|
5.15 – 5.45 pm |
Valedictory Function |
Once, a farmer prayed to Lord Shiva.
“Swami, farming is always full of trouble-wind, rain, clouds, birds, pests. You are a God sitting on a mountain… you won’t really understand my problems. Just make me God for a few years. I’ll show you how farming should be done.”
Shiva smiled and said,
“Alright. You be God. I’ll take a vacation.”
The farmer became God.
He brought perfect technologies-
AI, drones, humidity analyzers, weather control.
When he wanted rain, it rained.
When he wanted wind, the breeze came gently.
He ordered birds not to come-and they didn’t.
No pests. No storms. No uncertainty.
Everything was perfect.
The corn plants grew tall, green, strong.
The farmer was thrilled-“This will be the greatest harvest ever!”
But when he harvested…
the cobs were empty. No grains inside.
Angrily he called Shiva:
“What trick is this? Why did you do this to me?”
Shiva replied calmly:
“When life faces no resistance, it stops striving.
When everything is easy, living beings stop becoming.
The plant thought:
‘Why should I struggle? Why should I store energy?’
So it grew… but it did not live.”
So yes, with due respect to Achuthsankar Sir and to Manorama-
it is a wonderful article, thought-provoking as always.
But as we discussed in class:
👉 What can be automated, will be automated.
👉 What requires consciousness, responsibility, judgment-cannot.
Life is not just an object.
Life = object + conscious action.
AI can be powerful.
But consciousness cannot be automated.
യന്ത്രികമായി ചെയ്യാവുന്നത് യന്ത്രം ചെയ്യും.
മറ്റുള്ളതെല്ലാം മനുഷ്യന്റെ ഭാഗമാണ്.
That balance is where the future truly lies.




























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