Portfolio

Research & Publications

Peer-reviewed research and engineering projects in energy systems, machine learning, and sustainable technology.

Scholarly Output

Publications & Ongoing Research

Journal Article Peer-Reviewed

Spatiotemporal analysis and entropy-based sandbar disorderliness with LSTM forecasting of the Koshi River shift

Prajwal Simkhada, Saurav Bista, Maheswaran Rathinasamy — H2Open Journal (Elsevier), 8(6), 491–514.

Multi-decadal satellite-based analysis of channel migration in the Koshi River, introducing an entropy-based metric to quantify sandbar disorderliness and applying LSTM networks to forecast river shift — supporting flood-risk assessment and river management in the Himalayan foothills.

Remote Sensing LSTM / Deep Learning Entropy Analysis GIS
DOI ScienceDirect
Manuscript in Preparation

Techno-economic optimization of an integrated biomass-gasification and renewable-electrolysis system for green methanol production

Hourly-resolution techno-economic model of a hybrid green hydrogen-to-methanol plant coupling dispatchable biomass gasification with solar- and wind-powered PEM electrolysis and battery storage. Joint capacity sizing and dispatch are formulated as a mixed-integer linear program (Pyomo / HiGHS), with full-year validation, levelized cost of hydrogen and methanol estimation, well-to-gate carbon-intensity accounting, and deterministic sensitivity plus Monte Carlo risk analysis.

Energy Systems Modeling MILP Optimization Pyomo / HiGHS Green Hydrogen Monte Carlo Analysis
Thesis Published on ResearchGate

Low-cost potentiostat development for the detection of heavy metal ions present in water

Aakriti Bhandari, Saurav Bista — IIT Hyderabad & Kathmandu University.

Design and development of a low-cost, portable potentiostat for detecting heavy metal ions (As, Cr, Pb, Cd, Hg) in water using Square Wave Voltammetry. A novel windowing and linear-extrapolation algorithm quantifies ion concentrations, with ESP32-based hardware, web/mobile applications, Telegram alerts, and validation against the commercial Sensit Smart device.

Square Wave Voltammetry Electrochemical Sensing ESP32 / Embedded Water Quality
ResearchGate Project Details
Ongoing Research

Green Hydrogen-to-Methanol Plant Optimization

Techno-economic optimization of a hybrid biomass-gasification and renewable-electrolysis system for green methanol, using MILP-based sizing and dispatch with Monte Carlo risk analysis.

MILP / Pyomo Green Hydrogen Renewables Techno-Economics
2025 – Present Manuscript in preparation
Active

Second-Life EV Battery Storage

Designed a stationary energy storage system at ESTRL Lab using repurposed EV batteries, integrating machine learning for state-of-health prediction.

Machine Learning Python IoT Energy Storage
2024 – Present View Details
Potentiostat Device Research

Low-Cost Potentiostat Development

Created a portable potentiostat with automated SWV-based algorithm for heavy metal ion detection in water, validated against commercial devices.

Embedded Systems Web App Mobile App Arduino
2023 – 2024 View Details
Completed

Distracted Driver Classification

Deep learning model using ResNet9 to classify distracted driver behaviors, achieving 99.22% validation accuracy on State Farm dataset.

Python PyTorch ResNet9 Image Augmentation
2023 View Details
ECG Waveform Completed

QRS Detection & ECG Arrhythmia Analysis

MATLAB application using Pan-Tompkins algorithm to detect QRS complexes in ECG signals and analyze arrhythmias through heart rate variability.

MATLAB Pan-Tompkins ECG Processing App Designer
2023 GitHub