• Dr. Alam has been invited as a seminar speaker at Department of Nuclear Engineering, Purdue University, USA, on March 2024. The title of the seminar will be “Explainable Digital Twin for for Nuclear Systems.“
  
• Dr. Alam has been invited as a seminar speaker at Nuclear Engineering & Engineering Physics, University of Wisconsin Madison, USA, on May 2024. The title of the seminar will be “Real-Time Monitoring for Nuclear Components.“
  
• Dr. Shoaib Usman and Dr. Syed Alam (Syed Bahauddin Alam) jointly have been awarded ~$2 million from the U.S. Department of Energy (DOE) [JUNE 9, 2023] on Consent-Based Siting incorporating Machine Learning with Explainable AI for the project entitled “Acceptance after Engagement, Education & Experiential-learning (AEEE).” We collaborated with University of Missouri – Columbia (MO), University of Illinois (IL), Massachusetts Institute of Technology (MA), University of Nevada (NV), Taylor Geospatial Institute (MO), and St. Louis University (MO) as partners.

• Dr. Syed Alam received the “Distinguished Faculty Advancement Award 2023″ ($700,000) from the U.S. Nuclear Regulatory Commission (NRC) [Pre-Award notification received].

• Dr. Syed Alam received a seminar invitation from the Mathematics and Computer Science (MCS) Division at “Argonne National Lab” on “Uncertainty-Aware, Intelligent, & Trustworthy Digital Twin-Enabling Technologies for Complex Nuclear Systems.” The seminar will take on April 05, 2023.

• Dr. Alam has been invited as a speaker at the Data Mining Cluster of 2023 INFORMS Annual Meeting on “Surrogates for Digital Twins.” This event will be taking place in Phoenix, Arizona, on October 15-18, 2023.

• Dr. Alam has been invited as a speaker at the Center for Research in Energy and Environment (CREE) on “Uncertainty-Aware and Explainable AI (XAI)-Infused Digital Twin Solution for Complex Systems.” The seminar will take on April 4, 2023.

• Dr. Alam has been invited as a speaker at the Center for Infrastructure Engineering Studies on “Scientific Machine Learning Towards Digital Twin Solution for Complex Systems.” The seminar will take on March 13, 2023.

• Dr. Alam was invited as a seminar speaker at Ontario Tech University, USA, on January 12, 2023. The title of the seminar was “The components of Trustworthy and Explainable Digital Twin-Enabling Technologies for Nuclear Systems.”

• Dr. Alam has been invited as a speaker at the “Nuclear Engineering and Radiation Science Department, Missouri S&T” on “Challenges of Digital Twin for Nuclear Systems? – Let’s Solve it.” The seminar was held on October 24, 2022.

• Dr. Syed Alam received the “University Outstanding Teaching Award 2022″ in recognition of notable contributions to teaching and commitment to the students by Missouri S&T, 2022. He has received this recognition for two consecutive years, 2021 and 2022.

• Dr. Syed Alam received the “University Outstanding Teaching Award 2021″ in recognition of notable contributions to teaching and commitment to the students by Missouri S&T 2021.

• Dr. Alam has been invited as a graduate seminar speaker at Nuclear, Plasma & Radiological Engineering, University of Illinois Urbana-Champaign, USA, on November 1. The title of the seminar was “Demystifying Digital Twin (DT)-Enabling Technologies for Nuclear Systems: An International Collaborative Effort.”

• Dr. Alam has been invited as a speaker at SIAM  CSE 2023 mini-symposium on “Machine learning and data-driven methods in probabilistic mechanics, risk, and reliability assessment.” The symposium will be taking place in Amsterdam from Feb 26 – Mar 03, 2023.

• Dr. Alam has been invited to Kummer innovation Day (October 11, 2022) to present his funded research on “Trustworthy Machine Learning (ML) and Artificial Intelligence (AI)-based Framework Development for Hybrid and Sustainable Energy Systems“

• Two of Dr. Alam’s graduate students: Brandon Bloss and Alexander Foutch, have been recommended for the final phase of the United States Department of Defense (DoD) Scholarship, known as the SMART (Science, Mathematics, and Research for Transformation) Scholarship. They are working on “Deep Learning Optimization of Composite Accident Tolerant Fuel Geometry to Improve Fuel Burnup and Power Density for the Small Modular Reactor (SMR) Applications.” On average, 15% are awarded out of all applicants in the US universities in STEM, while the Nuclear Engineering discipline’s success rate is less than 1%.

• Dr. Alam’s undergraduate Researcher Yoki Yarita won U.S. Department of Energy 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐍𝐮𝐜𝐥𝐞𝐚𝐫 𝐋𝐞𝐚𝐝𝐞𝐫𝐬𝐡𝐢𝐩 𝐏𝐫𝐨𝐠𝐫𝐚𝐦 Scholarship 2022.

• Dr. Syed Alam received Learning Enhancement Across Disciplines (LEAD) recognition for the “Exceptional Extra effort to Help Students Master Course Material and Enhance their Success” at the Missouri S&T, 2021 & 2020.

• Dr. Syed Alam has been nominated for Faculty Achievement Award 2021 in recognition of “ extraordinary commitment and sustained excellence in teaching and research” by Missouri S&T Nuclear Engineering Department.

• Two of Dr. Alam’s lead-authored articles are the Most cited articles published in Nuclear Engineering and Design journal since 2018: 1. Small modular reactor core design for civil marine propulsion using micro-heterogeneous duplex fuel. Part I: Assembly-level analysis 2. Small modular reactor core design for civil marine propulsion using micro-heterogeneous duplex fuel. Part II: whole-core analysis.

• Dr. Alam’s lead-authored article “Parametric neutronics analyses of lattice geometry and coolant candidates for a soluble-boron-free civil marine SMR core” is one of the Most Downloaded Annals of Nuclear Energy Articles.

• Dr. Alam has been Invited by Professor of Princeton University, Dr. Frank von Hippel to be a Research Collaborator at Princeton University Program on Science and Global Security on “Exploring the Feasibility of Fueling the US and UK Naval Reactors with LEU.” [Invitation]

• Dr. Alam has been invited by National Reactor Innovation Center at Idaho National Laboratory for an interview on Commercial Maritime Nuclear Propulsion. [Invitation]