About Syed Alam

Education

  • University of Cambridge, Doctor of Philosophy, 2018

Campus associations

Syed Alam

Prof, ast
Nuclear Eng &Radiation Science
222 Fulton Hall

573-341-4720 | alams@mst.edu

Education

  • University of Cambridge, Doctor of Philosophy, 2018

Campus associations

Biography

Dr. Syed Alam (Syed Bahauddin Alam) is an Assistant Professor of Nuclear Engineering and Radiation Science at the Missouri University of Science and Technology. He is currently leading MARTIANS (Machine Learning and ARTIficial Intelligence for Advancing Nuclear Systems) Laboratory [Link: https://sbahauddin.tech/].

Dr. Syed Alam 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 Researcher at French Atomic Energy Commission (France). 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).

The overarching Research Theme of Dr. Alam's MARTIANS Lab is "Hybrid Data+Physics-Driven & Explainable Machine Learning and Multiscale Modeling with Surrogate-Modeling-Based Uncertainty Quantification and Robust Optimization 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 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.

The full publications list will be accessed at: [https://scholar.google.com/citations?hl=en&user=q66Afc8AAAAJ]

New Incoming Publications 2022 (In Press):

-S.B. Alam et al., "Digital Twin for Multi-Criteria Decision-Making Framework to Accelerate Fuel Qualification for Accident Tolerant Fuel Concepts" , Handbook of Smart Energy Systems (Accepted in press), Springer Nature, 2022.

-S.B. Alam et al., "Digital Twin and Artificial Intelligence Incorporated With Surrogate Modeling for Hybrid and Sustainable Energy Systems", Handbook of Smart Energy Systems (Accepted in press), Springer Nature, 2022.

-S.B. Alam et al., "Machine Learning and Artificial Intelligence-Driven Multi-Scale Modeling for High Burnup Accident-Tolerant Fuels for Light Water-Based SMR Applications" , Handbook of Smart Energy Systems (Accepted in press), Springer Nature, 2022.

-S.B. Alam et al., "Practical Applications of Gaussian Process with Uncertainty Quantification and Sensitivity Analysis for Digital Twin for Advanced Nuclear Fuel", Handbook of Smart Energy Systems (Accepted in press), Springer Nature, 2022.

-S.B. Alam et al., "Leveraging Industry 4.0 – Deep Learning, Surrogate Model and Transfer Learning with Uncertainty Quantification Incorporated into Digital Twin for Nuclear System", Handbook of Smart Energy Systems (Accepted in press), Springer Nature, 2022.

Research

Expertise areas

Multiscale modeling, Artificial Intelligence, Machine learning, Digital Twin, Surrogate Modeling, Uncertainty Quantification, Robust Optimization

Current research projects

  • Digital Twin Framework Development for Risk-Informed Decision-Making
  • Uncertainty Quantification and Sensitivity Analysis
  • Physics Informed Neural Network
  • Robust Optimization under Uncertainties
  • Multiscale Modeling of Accident Tolerant Fuel
  • Verification, Validation & Uncertainty Quantification of Multiphysics Software

Research interests

-Multiscale & Multiphysics modeling of Nuclear Systems
-Artificial Intelligence
-Machine learning
-Digital Twin
-Surrogate Modeling
-Uncertainty Quantification
-Robust Optimization

Research grants

Awards and recognition

Awards

  • Outstanding Teaching Award 2020-2021
  • Kummer Ignition Grant 2022
  • Best Student Paper Award in recognition of the "Exceptional Quality of the Paper" 2016 International Congress on Advances in Nuclear Power Plants
    (ICAPP 2016) in CA, USA, 2016.
  • Nominated for the Young generation/Student award for the outstanding paper 2017 International Congress on Advances in Nuclear Power Plants
    (ICAPP 2017) in Kyoto, Japan 2017
  • Best Student Poster Award 2016 International Congress on Advances in Nuclear Power Plants
    (ICAPP 2016) in San Francisco, CA, USA, 2016
  • Best Technical Poster Award by American Nuclear Society 16th International Topical Meeting on Nuclear Reactor Thermal
    Hydraulics (NURETH-16) in Chicago, IL, USA, 2015
  • Cambridge Philosophical Society "Research Studentships Award" 2017 for continuation of an exceptionally promising piece of research beyond
    the usual standard of the PhD
  • U.S. Department of Energy (DOE) MeV Fellowship, 2018
  • Department of Energy (DOE) MeV Fellowship, 2019
  • Most Exemplary Graduate Fellow Award on "Nuclear Nonproliferation Fellowship 2017" Korea Advanced Institute of Science & Tech (KAIST), 2017
  • The Charles Wallace Trust Doctoral Bursary, 2017
  • Cambridge St. Edmund’s College Tutorial Award, 2016
  • W G Collins Endowment Fund, 2016
  • Ford of Britain Trust, 2015
  • Cambridge St. Edmund’s College Tutorial Award 2015
  • Rotary Vocational Excellence Award, 2011
  • 1st Prize in Undergraduate Project Workshop (Computer Group), BUET, 2011
  • IET Travel Award, 2016
  • Cambridge Philosophical Society Travel Grant, 2017