Publications

2026

Power Circuit AI: Designing Power Electronic Circuits for Motor Drives with Generative Artificial Intelligence Link

Power Circuit AI graphical abstract
IEEE Intelligent Design and Control of Automation and Drive Systems (2026) DOI
Power Electronics Generative AI EDA Circuit Design

Problem: Accelerating the design of power electronic circuits for motor drives

Solution: Multi-agent workflow from NL specifications to logically valid netlists and routed PCBs.

Novelty: Autonomous constrained orchestration between AI agents and deterministic EDA tools

MiRAGE: A Multiagent Framework for Generating Multimodal Multihop Question-Answer Dataset for RAG Evaluation Link

MiRAGE graphical abstract
arXiv Preprint (2026) DOI
RAG Evaluation Multi-Agent Systems Multimodal QA Benchmarking

Problem: Evaluation of proprietary information retrieval systems

Solution: Multi-agent framework to generate QA datasets from multimodal corpora

Novelty: Corpus-specific multi-hop QA datasets

2025

ReqNet and ReqSim: A Network and Semantic Similarity Dataset of Requirements from the Tree Structure of System Requirement Specifications PDF

ReqNet and ReqSim graphical abstract
ASME Journal of Computing and Information Science in Engineering (JCISE) DOI
Requirements Engineering Deep Learning NLP Semantic Similarity

Problem: Lack of structured requirement engineering datasets

Solution: Requirement list, requirement network, and requirement similarity dataset

Novelty: Graph theoretic similarity estimation for requirements

2024

Well-Formed Quality of System Requirements for Verifying to ISO 29148-2018: A Natural Language Processing (NLP) Based Framework and Quantitative Metric PDF

Requirement verification graphical abstract
ASME IDETC-CIE Conference 2024 DOI
Requirements Engineering ISO 29148:2018 NLP Quality Metrics

Problem: Verify requirements to conform to ISO/IEC/IEEE 29148:2018

Solution: NLP-based requirement verification framework

Novelty: Proposed the well-formed requirement quality (wRQ) index

2023

Machine Learning Based Prediction of Melt Pool Morphology in a Laser-Based Powder Bed Fusion Additive Manufacturing Process PDF

Melt pool GAN graphical abstract
International Journal of Production Research (IJPR) DOI
Additive Manufacturing LSTM cGAN Melt Pool Morphology

Problem: Predicting the size and shape of the melt pool

Solution: An LSTM network predicting the area and a cGAN for synthesizing melt pool image

Novelty: First to predict with practical accuracy

Security in Modern Manufacturing Systems: Integrating Blockchain in Artificial Intelligence-Assisted Manufacturing PDF

Blockchain and AI manufacturing graphical abstract
International Journal of Production Research (IJPR) DOI
Blockchain AI Security Smart Manufacturing Industry 4.0

Problem: Integrating BC to secure AI integrated manufacturing systems

Solution: Proposed a framework to integrate BC in AI-assisted manufacturing

Novelty: First to propose the framework

2020

Artificial Intelligence (AI) in Augmented Reality (AR)-Assisted Manufacturing Applications: A Review PDF

AI in AR-assisted manufacturing graphical abstract
International Journal of Production Research (IJPR) DOI
Augmented Reality AI Manufacturing Human-Machine Interaction

Problem: Assess AR-assisted manufacturing applications for improvement

Solution: Identified gaps in AR-assisted manufacturing to integrate AI and proposed solutions

Novelty: First comprehensive review of AI in AR-assisted manufacturing

Driven by Data or Derived Through Physics? A Review of Hybrid Physics Guided Machine Learning Techniques with Cyber-Physical System (CPS) Focus PDF

Physics-guided machine learning graphical abstract
IEEE Access DOI
Physics-Guided ML Cyber-Physical Systems Hybrid Modeling Review

Problem: Modeling CPS with first principles or data-driven approaches

Solution: Physics-guided ML techniques for CPS applications

Novelty:Modes of combining physics and data-driven approaches

Theses

Computational Representation, Analysis and Verification of Requirements in Engineering Design and Systems Engineering PDF

PhD dissertation cover
PhD Dissertation, Clemson University ProQuest
PhD Thesis Requirements Engineering Deep Learning NLP

Problem: Accelerating the requirement engineering process while developing complex systems

Solution: Representation, analysis, and verification of requirements

Novelty: NLP, graph theory, and deep learning approaches for requirements engineering

Boon of Hybrid Approaches over the Bane of Model Based and Machine Learning Approaches in Modelling Cyber-physical Systems PDF

MS thesis cover
MS Thesis, Clemson University ProQuest
MS Thesis Cyber-Physical Systems Hybrid Modeling Simulation

Problem: Traditional modeling approaches fail to capture CPS complexity.

Solution: Hybrid modeling methodology integrating continuous and discrete system dynamics.

Novelty: Novel physics-guided machine learning framework for CPS modeling