PhD Candidate · University of Houston

Structural Health
Monitoring &
Domain Adaptation

UH–Chevron Energy Graduate Fellow · MAE Department

Developing physics-informed domain adaptation frameworks for bolt looseness detection in critical infrastructure, bridging signal processing, deep learning, and industrial IoT.

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HS
Himansu Shaw
Mech. & Aerospace Engineering
University of Houston, Texas
hshaw@cougarnet.uh.edu LinkedIn Profile Google Scholar +1 346 855 6521
Current Work

Research Focus

01 ·
Centroid Alignment Domain Adaptation (CADA)
Achieved 90%+ accuracy in air-to-water acoustic transfer with limited labeled data using deep neural networks trained with DANN architectures for bolt looseness detection.
DANN · Deep Learning
02 ·
FRF-Based Cross-Domain Signal Transformation
Designed frequency-response-function-based transformations enabling model transfer across different mechanical systems, significantly improving cross-domain performance over baselines.
Signal Processing · TensorFlow
03 ·
CORAL & MMD for Air-to-Water Adaptation
Proposed statistical distribution alignment via CORAL and MMD for percussion-based bolt looseness monitoring without requiring labeled target data.
CORAL · MMD · Unsupervised
04 ·
PZT-Based Active Underwater Sensing
Designed and fabricated piezo-ceramic transducers for underwater active sensing in structural health monitoring of bolted flange connections in offshore pipelines.
PZT · Hardware · SHM
Technical

Skills & Tools

Programming
Python MATLAB
ML Frameworks
PyTorch TensorFlow Keras scikit-learn
Domain Adaptation
DANN CDAN CORAL MMD
Signal Processing
PZT Transducers NVH Analysis DAQ Systems
IoT & Automation
Node-RED LabVIEW PLC Ladder Logic Modbus TCP/IP
Mechanical
Robotics Control Systems AGV Systems Mechatronics
Background

Education & Experience

2022 – Present
PhD Candidate, Mechanical & Aerospace Engineering
University of Houston · Houston, Texas · GPA 3.58 / 4.00
Research in structural health monitoring, domain adaptation, and smart sensing. UH–Chevron Energy Graduate Fellow (2025–26).
2017 – 2022
Deputy Manager — Automation & IoT
TVS Motor Company Limited · Hosur, India
Led Industrial IoT and automation projects: deployed color-guided AGV systems, NVH-based end-of-line engine fault detection across 3 rigs, IoT traceability for vehicle parts, and PLC-based fuel tank leak testing.
2015 – 2017
M.Tech, Mechatronics
Indian Institute of Technology Patna · Patna, India · GPA 8.96 / 10.00
Best M.Tech Project Award. Coursework in robotics, control systems, machine learning, aerodynamics.
2011 – 2015
B.Tech, Mechanical Engineering
West Bengal University of Technology · GPA 8.22 / 10.00
Core mechanical engineering curriculum: thermodynamics, manufacturing, dynamics of machines.
Scholarly Work

Publications

01
Shape Memory Alloy Based Caudal Fin for a Robotic Fish: Design, Fabrication, Control and Characterization
ACM · 2019
↗ View Publication
02
Diagnosis and Detection of IC Engine Fault at End of Line Engine Vibration Measurement System with Machine Learning Model
IEOM Society International · 2021
↗ View Publication
03
Demo Abstract: Collaborative Real-Time Scheduling (CRTS) Algorithm for AGV Transportation System within a CPS Architecture
ACM · 2023
↗ View Publication
Recognition

Awards & Patents

🏆
ASIE 2025 Scholarship
American Society of Indian Engineers & Architects · Nov 2025
🎓
UH–Chevron Energy Graduate Fellowship
University of Houston · 2025–2026 · USD $12,000
🥉
3rd Prize – Sprint Robotics Poster
Sprint Robotics Competition · Houston · 2024
⭐
INSPRO Significant Contributor Award
TVS Motor Company · 2022
🎖️
Best M.Tech Project Award
Indian Institute of Technology Patna · 2017
Intellectual Property
📜
Measuring Free Play in a Hand-Operated Throttle
Indian Patent No. 561844 (Granted) · App. No.: 202141036138
📋
System for Tracking Availability and Functionality of an Asset
Indian Patent Application No.: 202241001270 (Published, Under Examination)
Connect

Get in Touch

I'm open to research collaborations, discussions on structural health monitoring, domain adaptation, and smart sensing systems — and always happy to connect with fellow researchers and engineers.

hshaw@cougarnet.uh.edu
+1 346 855 6521
Houston, Texas, USA