I am a PhD student in Industrial and Systems Engineering, with research interests at the intersection of operations research, optimization, and artificial intelligence. I earned my undergraduate degree in Industrial and Production Engineering from Shahjalal University of Science and Technology (SUST).
My research focuses on data-driven methods for decision-making in complex industrial and healthcare systems. Drawing on my industrial engineering background, I explore how Graph Neural Networks (GNNs), Digital Twins, and Machine Learning can support optimization and improve system efficiency, reliability, and resilience.
My research interests span three interconnected areas:
- 📊 Operations Research, AI/ML & Optimization: I focus on solving complex logistical challenges by combining Operations Research principles with Graph Neural Networks (GNNs). My work involves developing Graph-based Digital Twins to optimize supply chains, improving route planning, demand forecasting, and system resilience through intelligent, data-driven decision-making.
- 🏭 Advanced Manufacturing & Digital Twins: I aim to create "intelligent" production environments using Scientific Machine Learning. My research utilizes Physics-Informed Neural Networks (PINNs) and simulation to optimize manufacturing processes—ranging from predicting springback in engineering materials to optimizing rare earth element production for sustainability.
- 🧬 Human-Centric & Biomedical AI: I am dedicated to building safe and reliable AI for healthcare. My work explores Large Language Models (LLMs) and Natural Language Processing (NLP) for clinical text summarization and emotion recognition, ensuring that AI systems used in medical and psychological domains are transparent, accurate, and aligned with human needs.
Through my doctoral studies, I aim to advance methods that connect computational modeling with practical decision-making, addressing challenges in supply chains, manufacturing, and healthcare.
Mentorship & Collaborations
I collaborate with Dr. Manjurul Ahsan (OU) on Graph-based Digital Twins for supply chain optimization and ensuring scalable, safe clinical MLLM deployment.
I work with Dr. Mahathir Mohammad Bappy (LSU) on the BioTwinMine project, utilizing digital twins to optimize biomining for sustainable material production.
I completed my undergraduate thesis under Engr. Mohammed Abdul Karim (SUST), developing an XAI-enhanced framework that combines machine learning with mathematical modeling for manufacturing process parameter analysis.
Additionally, I explore predictive accuracy and climate resilience using PINNs under the mentorship of Dr. A M M Mukaddes (SUST).
My research has been accepted at venues including NeurIPS, NAACL, SemEval, and ICCIT. I value interdisciplinary collaboration, rigorous research, and knowledge sharing, with a focus on developing methods that address practical engineering challenges.
Feel free to email me at ikramulh282@gmail.com if you're interested in collaboration.