Welcome to Dr. Syed Alam‘s (Dr. Syed Bahauddin Alam) MARTIANS (Machine Learning and ARTIficial Intelligence for Advancing Nuclear Systems) Laboratory.

Special News: Dr. Shoaib Usman and Dr. Syed Alam (Syed Bahauddin Alam) jointly have been awarded ~$2 million from the U.S. Department of Energy (DOE) in 2023 [JUNE 9, 2023] on Consent-Based Siting incorporating Machine Learning with Explainable AI for the project entitled “Acceptance after Engagement, Education & Experiential-learning (AEEE).”

Principal Investigator’s Bio:

Dr. Syed Alam (Syed Bahauddin Alam) is an Assistant Professor of Nuclear, Plasma & Radiological Engineering department at the University of Illinois Urbana-Champaign. Prior to his current position, he was an  Assistant Professor of Nuclear Engineering and Radiation Science at the Missouri University of Science and Technology. He received Ph.D. in Nuclear Engineering from the University of Cambridge. He also completed his MPhil in Nuclear Energy from the University of Cambridge. He received his B.Sc. in Electrical and Electronic Engineering from the Bangladesh University of Engineering and Technology (BUET). 

He worked in different parts of the world. He was a Postdoc Researcher at French Atomic Energy Commission (CEA Cadarache) for 12 months. He worked as a MeV Fellow at Argonne National Laboratory (USA) and a Nonproliferation Fellow at the Korea Advanced Institute of Science and Technology (South Korea). He is also currently a Visiting Researcher at the Rhode Island Nuclear Science Center (USA). Currently, Dr. Alam is collaborating his research and proposal efforts with Idaho National Lab, Oak Ridge National Lab, Oracle Lab, and NuScale Power.

The overarching Research Theme of Dr. Alam’s MARTIANS Lab is “Hybrid Data+Physics-Driven & Explainable Machine Learning Techniques and Multiscale Modeling with Surrogate-Modeling-Based Uncertainty Quantification and Robust Optimization for Multi-Criteria Decision-making for Nuclear Engineering Problems.” Dr. Alam’s research interests and expertise broadly lie in the intersection of nuclear engineering, explainable machine learning, mechanics & materials — focusing on data-driven analysis that warrants frequent excursions among the boundaries of applied mathematics and data science.

Dr. Alam received several Awards and Honors for his research and teaching. He received the Outstanding Teaching Award for two consecutive years, 2021 and 2022, in recognition of notable contributions to teaching and commitment to the students by Missouri S&T in 2021. He was awarded the Most Exemplary Graduate Fellow Award on “Nuclear Nonproliferation Fellowship 2017” by the Korea Advanced Institute of Science & Tech (KAIST). He was also the winner of the ANS Best Student Paper Award in recognition of the “Exceptional Quality of the Paper” (ICAPP 2016), Nominated for the Young generation/Student Award for the Outstanding Paper (ICAPP 2017), and ANS Best Technical Poster Award (NURETH-16). For the continuation of an exceptionally promising piece of research beyond the usual standard of the PhD, he was also awarded the Cambridge Philosophical Society “Research Studentships Award” (2017) during his Ph.D. at Cambridge University.

Principal Investigator’s Experiences:

  • University of Cambridge (Jan 2014 to Jan 2018)
    • Graduate Research Student, Department of Engineering
    • Project  –   Reactor Core Design for Marine Propulsion
  • Argonne National Laboratory (Jun 2018)
    • Modeling, Experimentation and Validation (MEV) Fellow, Lemont, IL, USA
    • Project  –   Artificial Intelligence for Robust Reactor System Design
  • University of Cambridge (Oct 2012 to Sep 2013)
    • Graduate Master’s Research Student, Cambridge Nuclear Energy Centre
    • Project  –  Modeling of the Reduced-Moderation Water Reactor Fuel Assembly 

Wanna learn more about him? Please continue browsing then 🙂

MARTIANS Lab

Forest.

Even a child knows how valuable the forest is. The fresh, breathtaking smell of trees. Echoing birds flying above that dense magnitude. A stable climate, a sustainable diverse life and a source of culture. Yet, forests and other ecosystems hang in the balance, threatened to become croplands, pasture, and plantations.