2023
AI & Biomedical Signal Processing
Built a foundation in data-driven systems, signal analysis and applied machine intelligence.
Engineering Intelligence
Engineering Intelligence
for the Physical World
Designing the intelligence layer for future energy, thermal and mechatronic systems through AI, computational modeling and optimization.
Research Intern @ IIT KharagpurOpenEnv Top 100 FinalistPower Engineering @ Jadavpur University
Currently Building
AI-Assisted Thermal Intelligence for Electronics & EV Systems
Physics-informed neural networks coupled with CFD and optimization to enable autonomous thermal management in next-generation energy systems.
Research Focus
@ IIT Kharagpur (Active)
→Physics-Informed Neural Networks (PINNs) for thermal systems
→CFD-augmented surrogate modeling for design acceleration
→Phase Change Material (PCM) thermal storage optimization
→Bayesian multi-objective design space exploration
PINNsCFDMLOptimizationThermal
Status
Active research internship at IIT Kharagpur's Thermal Intelligence Lab. Focus on translating fundamental ML into practical thermal system optimization.
In Progress
Current Focus
Thermal intelligence for electronics and EV systems where prediction, control and optimization converge.
Research Direction
From empirical models to learned representations. Building digital twins that optimize in real-time.
Tools & Methods
PINNs, CFD, surrogate modeling, PCM thermal storage, Bayesian optimization and explainable AI.
Long-Term Vision
Energy systems with embedded intelligence. Autonomous adaptation and optimization at scale.
Selected Achievements
Highlighted accomplishments that shaped my trajectory
🏆 Research Intern @ IIT Kharagpur
Thermal Intelligence Lab
1
🏆 OpenEnv Top 100 Finalist
Meta · Hugging Face · PyTorch
2
🏆 10+ Research Works
Papers, Presentations & Book Chapters
3
🏆 12+ Engineering Systems
Energy, Thermal, Finance, Vision
4
🏆 Leadership in E-Summit
Event Organizer & Tech Lead
5
🏆 Deepfake Detection Research
~98% F1 • Dual-Stream Architecture
6
Engineering Domains
Intelligent Systems
- Deep Learning
- PINNs
- Surrogate Models
- Explainable AI
Mechatronic Systems
- Thermal Management
- Battery Systems
- Electronics Cooling
- CFD
Optimization
- Bayesian Optimization
- Metaheuristics
- Multi-Objective Design
Energy Systems
- Energy Analytics
- Power Systems
- Smart Infrastructure
Autonomous Systems
- Agentic AI
- Multi-Agent Systems
- MCP Servers
- Workflow Intelligence
Featured Research & Systems
Flagship Projects
Work that exemplifies embedding intelligence into physical systems—thermal, energy and mechatronic research at the frontier.
01
AI-Driven Battery Thermal Management
IIT Kharagpur Research / Thermal Intelligence
Physics-informed neural networks, CFD-augmented surrogate modeling and Bayesian optimization for autonomous thermal design in EV batteries, electronics cooling and PCM-based energy storage systems.
PINNsCFDSurrogate ModelingBayesian OptimizationPCM
02
Load Forecasting & Energy Analytics
Energy / AI
Intelligent system for predicting power demand patterns in future energy infrastructure.
Energy ForecastingDecision Support
03
CAAI Agents
Enterprise / Autonomous AI
Agentic AI systems for autonomous enterprise workflow execution and decision-making.
AutomationAI Workflows
04
D4-Net Deepfake Detection
Vision / Security
Dual-stream frequency-semantic deep neural architecture achieving ~98% F1 detection accuracy.
Vision AIDeep Learning
Engineering Infrastructure & Product Systems
Additional projects and tools supporting research and product development.
CFD Post-Processing Toolkit
Engineering Infrastructure
05
Analysis tooling for interpreting simulation outputs and accelerating thermal research workflows.
EEG Signal Classification
Biomedical / AI
06
Neural signal processing for brain-computer interfaces.
ResumeX Platform
SaaS / AI
07
AI-powered resume evaluation and optimization platform.
CredTech Intel
FinTech / XAI
08
Transparent credit scoring system using interpretable ML.
QuanTrackZ Trading
Finance / Algo
09
Indian market algorithmic trading automation.
StratedgeX
EdTech / Trading
10
Educational platform for algorithmic trading strategies.
Evolution
A trajectory toward intelligent engineering systems
2024
Optimization & Explainable AI
Focused on search, decision-making and interpretable models for complex engineering problems.
2025
Physics-Informed Learning
Moved deeper into thermal systems, surrogate modeling and simulation-aware intelligence.
2026
IIT Kharagpur Thermal Intelligence Research
Applying AI to physical systems through research in thermal and engineering intelligence.
Future
Intelligent Physical Systems
Building the intelligence layer for energy networks, machines and engineered infrastructure.
The ManifestoThe Intelligence Layer for
The Intelligence Layer for
Future Physical Systems
Future engineering systems will not merely operate.
They will perceive.
They will learn.
They will predict.
They will adapt.
They will optimize.
My mission is to develop the intelligence layer enabling energy systems, thermal systems and engineered infrastructure to evolve into truly intelligent physical systems.
Systems that don't just execute commands. Systems that understand their environment, anticipate needs, and make optimal decisions in real-time.
Research Works
Research Output
Focused on physics-informed machine learning, thermal optimization, and applied AI across energy, thermal, and intelligent systems.
Thermal Intelligence
AI-Driven Electronic Cooling System Optimization Using Neural Networks
Electronics cooling research work
Work from 2026
Research
→
Surrogate-Assisted Optimization of PCM-Based Thermal Energy Storage Using Hybrid CNN-LSTM and Bayesian Optimization
Research work across thermal energy systems
Work from 2026
Research
→
PINN + Bayesian Optimization for Enhanced Heat Transfer in Fin Geometry
Conference / journal research track
Work from 2025
Research
→
Physics-Informed Neural Networks for Microchannel Thermal Optimization
Thermal sciences research work
Work from 2025
Research
→
AI & Machine Learning
D4-Net: Detecting Deepfakes Using a Dual-branch Deep Learner
Computer vision research work
Work from 2025
Research
→
Ensemble Learning Framework for EEG Signal Classification
Biomedical AI research work
Work from 2025
Research
→
Gompertz Wavelet-Based Feature Extraction for EEG Brainwave Signals
Signal processing research work
Work from 2025
Research
→
Multimodal Emotion Recognition Using Multi-scale Features with Cross-Attention
Applied AI research work
Work from 2025
Research
→
Optimization & Theory
PINN + Grey Wolf Optimization for Fin and Vessel Geometry Enhancement
Optimization research work
Work from 2025
Research
→
Hybrid Feature Selection Using Grey Wolf Optimization and Stackelberg Game Theory
Conference / book chapter research work
Work from 2025
Research
→
Bayesian Optimization Framework for Multi-Objective Engineering Design
Computational engineering research work
Work from 2025
Research
→
10+
Research Works
4
Research Domains
2026
Most Recent Year
Systems & Connect
Om Karmakar
Engineering Intelligence⚡
I build engineering intelligence for physical systems while pursuing my Bachelor of Engineering at Jadavpur University. My work sits at the intersection of physical systems, data-driven modeling, and intelligent computational methods.
I focus on AI, thermal systems, optimization, and mechatronics, with a strong emphasis on physics-informed learning, surrogate modeling, and explainable computation. I build cross-domain systems spanning thermal optimization, energy analytics, signal processing, computer vision and decision support.
Jadavpur Univ. 2027
Kolkata
Cross-Domain
