Syed Bahauddin Alam

Assistant Professor

Missouri University of Science and Technology

United States

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Dr. Syed Bahauddin Alam is an Assistant Professor at Missouri University of Science and Technology, USA. His research focuses on AI-driven uncertainty quantification, digital twin technologies, and the predictive modeling of nuclear energy systems. Recent publications highlight his expertise in sensor degradation in nuclear reactors, thermal analysis of power electronic modules, and the implications of adversarial AI in nuclear power plant digitization.

Syed Bahauddin Alam

Research Interests

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Articles (21)

AI-driven uncertainty quantification & multi-physics approach to evaluate cladding materials in a microreactor

Digital twin-centered hybrid data-driven multi-stage deep learning framework for enhanced nuclear reactor power prediction

Sensor degradation in nuclear reactor pressure vessels: the overlooked factor in remaining useful life prediction

Improved generalization with deep neural operators for engineering systems: Path towards digital twin

Explainable, interpretable, and trustworthy AI for an intelligent digital twin: A case study on remaining useful life

Deep neural operator-driven real-time inference to enable digital twin solutions for nuclear energy systems.

Numerical study of turbulent flow and heat transfer in a novel design of serpentine channel coupled with D-shaped jaggedness using hybrid nanofluid

Thermal analysis of Si-IGBT based power electronic modules in 50kW traction inverter application

Adversarial AI threats on digitization of Nuclear Power Plants

Application of Multi-fidelity Modeling using Neural Network to Nuclear Materials

Developing an Al-Powered Zero-Trust Cybersecurity Framework for Malware Prevention in Nuclear Power Plants

Partial Nuclear Fuel Melt Predictions Using LSTM as Surrogate Model

A Numerical Thermal Analysis of a Battery Pack in an Electric Motorbike Application

Multi-criteria decision making under uncertainties in composite materials selection and design

Simultaneous experimental evaluation of pulse shape and deadtime phenomenon of GM detector

Weight loss and burst testing investigations of sintered silicon carbide under oxidizing environments for next generation accident tolerant fuels for SMR applications

CFD validation of condensation heat transfer in scaled-down small modular reactor applications, Part 1: Pure steam

CFD validation of condensation heat transfer in scaled-down small modular reactor applications, Part 2: Steam and non-condensable gas

Numerical investigation of the thermo‐hydraulic performance of water‐based nanofluids in a dimpled channel flow using Al2O3, CuO, and hybrid Al2O3–CuO as nanoparticles

Quantitative risk assessment of a high power density small modular reactor (SMR) core using uncertainty and sensitivity analyses

Computational assessment of thermo-hydraulic performance of Al2O3-water nanofluid in hexagonal rod-bundles subchannel

Collaborators (2)

Md Rishad Ahmed

Dinesh Kumar

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