Seizure Forecasting & Adaptive Diagnosis
Probabilistic frameworks combining dynamic state transitions and patient-adaptive AI with EEG/ECG to predict seizure onset before manifestation.
Repository →
Mission
01
Decoding Neural Complexity
These systems are designed to be capable of diagnosing diseases, predicting disease progression, assisting rehabilitation, and enabling seamless human-machine interaction.
I am particularly interested in neurological disorders such as epilepsy, Alzheimer’s disease, dementia, and cognitive decline. Through the integration of biosignals, AI algorithms, and clinical decision systems, I aim to design overarching medical intelligence platforms and brain-inspired artificial intelligence architectures that profoundly augment clinical care.
My work focuses on computational modeling of the brain, neurological diseases, and physiological systems, and translating these models into brain-inspired AI algorithms and intelligent medical systems for diagnosis, prediction, and rehabilitation.
Skills & Expertise
02
Technical & Strategic Proficiency
Computational AI
PyTorch
Deep Learning
Latent Diffusion
BCI Systems
Signal & Image Processing
Neuro-Systems
System Design
Embedded Systems
PCB Design (Low Noise)
Edge AI Deployment
Bio-Sensors & Wearables
Software Stack
Python
MATLAB
C / C++
GCP & Cloud Ops
UI/UX Design
Research Strategy
Critical Thinking
Experimental Design
Mathematical Modeling
Clinical Protocol Design
Entrepreneurship
Start-up Leadership
Product R&D
Strategic Planning
Marketing & Sales
Clinical Translation
Objectives
03
Core Research Vision
Brain Dynamics Modeling
Developing mathematical frameworks to characterize seizures and neurodegeneration as shifts in high-dimensional nonlinear state-spaces.
Cognitive Neuro-Adaptive AI
Building patient-specific AI agents that learn from continuous biosignal streams to predict neurological events before they manifest.
Medical Intelligence Platforms
Synthesizing edge-AI hardware with cloud-native medical intelligence to create truly intelligent, point-of-care clinical diagnostics.
Domains of Expertise
04
Research Areas
Computational Modeling of Neurological Disorders
- Epilepsy
- Alzheimer’s
- Dementia
- Cognitive decline
- Brain network modeling
Computational Modeling of Physiological Systems
- Brain dynamics
- Cardiovascular signals
- Multimodal biosignals
- Dynamical systems modeling
- Digital twins
Cognitive Diagnosis & Rehabilitation
- Cognitive assessment systems
- Cognitive rehabilitation platforms
- BCI rehabilitation
- VR rehabilitation
- Assistive communication systems
Brain-Inspired AI & Medical Intelligence Systems
- Brain-inspired AI architectures
- Generative models for biosignals
- Clinical decision support algorithms
- Edge AI medical devices
- Medical intelligence platforms
Systems Development
05
Selected Research & Systems
Disease Modeling & Clinical AI
Neuro-ADEPT Framework
Neuro-adaptive deep learning architecture for interpretable seizure risk stratification and broader neurological disorder modeling with neural signals.
Repository →NeuroChronoGraph
A hierarchical Graph Neural Network for EEG-based differential diagnosis of Alzheimer’s Disease, Frontotemporal Dementia, and MCI.
Interictal Network Dynamics
Characterizing epileptiform discharges as dynamic network events using Multimodal Source-Connectivity and Graph Neural Networks on SEEG/EEG.
Repository →Generative & Brain-Inspired AI
GenEEG Diffusion Model
Patient-adaptive latent diffusion model for high-fidelity synthetic EEG generation, fundamentally bridging the data scarcity gap in clinical AI training.
Repository → Read Paper →Neurotechnology & Rehabilitation
VR Robotic Exo-suit Rehab
Immersive VR stroke rehabilitation environment actively integrated with a robotic exoskeleton and real-time neuro-biofeedback systems.
Repository →Motor Imagery Prosthetic Control
Real-time prosthetic array control system translating motor imagery EEG signals into intuitive robotic commands via non-invasive BCI.
Medical Devices & Edge AI
AI Ultrasound Cardiovascular System
Multi-sensor embedded hardware coupled with AI imaging solutions for accessible, non-invasive point-of-care cardiovascular diagnostics.
Repository →GemSAM Pipeline
Agentic explainable multi-modal medical image processing deployed on constrained edge tiering. Interpretable clinical diagnostics anywhere.
GitHub →Hridae Embedded Systems
Designing and fabricating low-noise PCBs and firmware pipelines for seamless neurophysiological biosignal acquisition under startup R&D.
Repository →HippoSphere AI
Sustainable lightweight deep learning systems pushed to resource-constrained edge devices for automated behavioral tracking.
GitHub →Platforms
CogniDhi AI Platform
Cloud-native AI platform predicting early cognitive decline, providing personalized brain fitness regimens alongside an integrated professional support network.
Visit Platform →
Research Outputs
06
Key Publications
01
Journal · Elsevier
GenEEG: Improving epileptic EEG detection through latent diffusion
View DOI: 111398 →02
Journal · In Peer-Review
Probabilistic Seizure Forecasting with Patient-Adaptive AI
03
Journal · In Peer-Review
NeuroChronoGraph: A Hierarchical Graph Neural Network for EEG-Based Differential Diagnosis of AD, FTD, and MCI
04
Conference · Springer
Decoding Neural Dynamics of Motor Imagery & Execution
05
Conference · IEEE
Hybrid Classical-Quantum Model for Brain Tumor Classification
View DOI: 11064720 →06
Conference · IEEE
Haptic Exo-Suit with Tactile Feedback in Hand Rehab
View Paper →07
Conference · IEEE
Real-Time Brain Signal Monitoring for BCI Applications
View Paper →
Professional Journey
07
Experience & Startups
2023 — Present
PhD Researcher & Teaching Assistant
IIT (BHU) Varanasi
Doctoral research in BCI, Neuroengineering, and Clinical AI. Responsibilities include experimental design, multimodal biosignal collection (EEG/ECG), algorithm development, and academic instruction.
2024 — Present
Co-Founder & R&D Lead
Hridae Medical Technologies Pvt. Ltd. (Start-up) · hridae.com
Architecting and fabricating low-noise embedded systems and AI imagery solutions for cardiovascular health monitoring and neurotechnological applications.
Academic Background
08
Education
2023 – Present
PhD · Biomedical Engineering
Indian Institute of Technology (BHU) Varanasi
Focus: Biomedical Signal & Image Processing, BCI, AI, Mathematical Modelling
2019 – 2021
M.Sc · Physiology (Neuroscience)
University of Calcutta
Thesis: "Neuropsychophysiological Behaviour of Adenosine: Crosstalks between Neurotransmitters"
2016 – 2019
B.Sc · Human Physiology (Honours)
Surendranath College, University of Calcutta
Foundation in physiological sciences and human biology
Honors & Recognition
09
Awards & Training
Major Awards
Winner — Smart India Hackathon 2024 (Hardware Edition), Govt. of India
2nd Runner Up — PRAGATI Hackathon 2023, TIH Dristi IHUB & IIT Jodhpur
GATE Qualified 2023 — Life Sciences, All India Rank 1313
Advanced Training
g.tec BCI & Neurotechnology Spring School 2025 — Austria (BCI Training)
Neurogati CNS Lab (IIT Madras) — Brain Modeling & Brain-inspired AI
SERB KARYASHALA (IIT Roorkee) — AI in Human Brain-Computer Interaction
CSIR-IICB Skill Program — Molecular Biology & Characterization
Perspective
10
Research Philosophy
"I am interested in understanding the brain not only as a biological organ but as a computational system. Many neurological diseases can be viewed as disorders of dynamical systems and network behavior. By combining computational neuroscience, artificial intelligence, and physiological modeling, I aim to build models that can predict disease onset, progression, and treatment response. ultimately, I believe future healthcare systems will rely on continuous physiological monitoring, computational modeling, and intelligent decision systems — and my work is focused on building components of such medical intelligence systems."
Arts & Creative Work
Beyond Science
Music & Soundscapes
Multi-instrumentalist and music composer. Performing as Psychedelics — exploring the neural basis of creativity through original compositions and audio experimentation.
Cinema & Screenwriting
Independent filmmaker and screenwriter. Creating visual narratives that examine the human condition, consciousness, and the poetry of impermanence.