03 — SCIENTIFIC RESEARCH & COMPUTATIONAL SYSTEMS
Research
I conduct research at the intersection of control theory, biomedical engineering, and systematic finance. Fusing statistical modeling with embedded execution.
THE CORE FOCUS
What I'm good at
Stochastic Optimization
Modeling system dynamics under uncertainty using REC, physics-informed receding-horizon control, and predictive strategy solvers.
Signal & Biofeedback DSP
Real-time acquisition, preprocessing (STFT, filter design), and ML classification (LSTM, transformers) of high-frequency biological signals.
Multi-Agent Simulation
Designing concurrent agentic architectures for quantitative modeling, risk validation, and predictive scenario simulation.
THE KNOWLEDGE BASE
Featured academic & quant research
MARKET OS · SYSTEMATIC TRADING
Market OS: Quant Finance & HFT Infrastructure
Built systematic trading infrastructure for reproducible, explainable alpha generation. Enforces strict capital allocation and walk-forward validation across three horizons: Theme Hunter (days-months), Mini Hedge Fund (days-weeks), and Market OS (years+). Developed a multi-agent framework (TradingAgents) featuring specialized analyst, researcher, and execution agents communicating with multi-LLM backends.
Quant Finance
HFT
Feature Store
Backtesting
Multi-Agent Systems
SPRINGER NATURE · SCIENTIFIC REPORTS
Multimodal Biofeedback Autonomic Regulation
Published a peer-reviewed Q1 paper validating an emotion-adaptive biofeedback system. Deployed digital signal processing (DSP) pipelines for real-time biological data acquisition and physiological feature extraction (using LSTM and transformer encoder architectures) running under strict timing constraints on ESP32/Jetson.
Biofeedback
Nature
DSP
LSTM
Real-Time Systems
MAHE · PROVISIONAL PATENTS
Intellectual Property - 3 Patents
Filer and owner of three patents: Adaptive EV Interface, Long-Range Solar Telemetry, and Robotic Solar Panel Cleaning. Designed electrical and control schemas, communication protocols, and mechanical control systems under academic supervision.
Patents
EV Telemetry
Robotics
Automotive Electronics
IEEE VTC 2026 · PEER-REVIEWED PAPER
Stochastic Control Receding Horizon
Authored research paper on Physics-Informed Stochastic Receding Horizon Control (PI-SRHC) for electric vehicle energy management. Modeled solar EV dynamics under uncertainty using receding-horizon optimization, achieving optimal power routing and state-of-charge trajectory preservation.
Stochastic Control
IEEE VTC
Optimization
Model Predictive Control
AQI INFORMATICS · ENVIRONMENTAL INTELLIGENCE
AQI Informatics India: Public Policy Systems
Developed an environmental intelligence data platform for the Indian subcontinent. Integrated explainable AI and machine learning regime detection algorithms over atmospheric datasets to assist public policy experts in assessing air quality trends and evaluating policy measures.
Data Science
Public Policy
ESG
Explainable AI
Regime Detection
THE ACADEMIC RECORD
Publications & IP
Technical validation of a multimodal emotion-adaptive biofeedback system for autonomic regulation using guided breathing
Published in Sci Rep (2026). DOI: 10.1038/s41598-026-46105-9
View PublicationPhysics-Informed Stochastic Receding Horizon Control for Autonomous Energy Management in Solar Racing
Accepted for IEEE VTC (2026).
View PaperPatent: Adaptive EV Interface
System and method for adaptive interface in EV control and monitoring. Filed 2025.
Patent: Long-Range Telemetry
System and method for long-range telemetry and observability for Solar EVs. Filed 2025.
Patent: Robotic Solar Cleaning
Automated robotic solar panel cleaning with obstacle detection. Filed 2025.
THE MATHEMATICAL BASICS
Core modeling capabilities
Quantitative & Math Tools