Our paper titled “Learning to Collaborate with Unknown Agents in the Absence of Reward,” co-authored with Z. Zhang, H. Zhou, T. Lee, and T. Lan, is accepted for publication in the Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2025) [Dec 2024].

Honored with the Outstanding Associate Editor Award from IEEE Transactions on Neural Networks and Learning Systems for the second consecutive year, [Dec 2024].

Our paper titled “Deep Reinforcement Learning Data Collection for Bayesian Inference of Hidden Markov Models” is accepted for publication in IEEE Transactions on Artificial Intelligence [Dec 2024].

Two papers accepted at the 2025 AIAA SciTech with my student, Armita KazemiNajafabadi, and Prof. Derya Aksaray: “Defense Policy Optimization with Linear Temporal Logic Specifications for Interconnected Networks” and “Robust Defense Strategy for Network Security Against Unknown Attack Models” [Dec 2024].

Welcoming Yuxin Lin and Yuxi Wang as PhD Students in our group [Sep 2024].

We received a three-year Defense Advanced Research Projects Agency (DARPA) award in collaboration with multiple universities (PSU, USC, Kennesaw State, GWU) and an industrial partner (Design Interactive, Inc.) [July 2024].

Congratulations to Mohammad Alali on his paper “Kernel-Based Particle Filtering for Scalable Inference in Partially Observed Boolean Dynamical Systems” being selected as a Finalist Paper Award at the 20th IFAC Symposium on Systems Identification (SYSID 2024) [April 2023]. [Link]

Welcoming Peng Wu as a Postdoctoral Research Associate in our group [July 2024].

We received $20,000 in AWS Credits through the NAIRR Pilot project for cloud resources [July 2024].

We received one-year collaborative research award from United State Military Academy, WestPoint [July 2024].

We received a three-year Army Research Office award [July 2024].

Our paper titled “Bayesian Optimization for Gaussian Process Modulated Inhomogeneous Poisson Process” is accepted at the 2024  International Conference on Learning Representations (ICLR) [Jan 2024].

Two papers accepted at 2024 American Control Conference (ACC) with my students, Amirhossein Ravari, and Armita KazemiNajafabadi: “Implicit Human Perception Learning in Complex and Unknown Environments”, “Optimal Detection for Bayesian Attack Graphs under Uncertainty in Monitoring and Reimaging” [Jan 2024].

Our paper titled “Optimal Inference of Hidden Markov Models Through Expert-Acquired Data” is accepted for publication in IEEE Transactions on Artificial Intelligence [Jan 2024].

We received a four-year Office of Naval Research award [Oct 2023].

We received a one-year United State Military Academy award [Oct 2023].

We received a three-year National Science Foundation (NSF) award [Sep 2023].

Honored to be selected as Outstanding Associate Editor of IEEE Transactions on Neural Networks Learning Systems (TNNLS) [Sep 2023].

I have joint the IEEE CIS Bioinformatics and Bioengineering Technical Committee [August 2023].

Congratulations to Armita KazemiNajafabadi on her paper “Optimal monitoring and attack detection of networks modeled by Bayesian attack graphs” accepted in the Cybersecurity journal [April 2023].

Our paper titled “A Bayesian optimization framework for finding local optima in expensive multi-modal functions” is accepted in 26th European Conference on Artificial Intelligence (ECAI) [July 2023].

Congratulations to Mohammad Alali on his paper “Reinforcement Learning Data Acquisition for Causal Inference of Regulatory Networks” being selected as a finalist for the Best Student Paper Award at the 2023 American Control Conference (ACC) [April 2023]. [Link]

Our paper titled “Optimal Recursive Expert-Enabled Inference in Regulatory Networks” got accepted in the IEEE Control Systems Letters [Dec 2022].

Our paper titled “Inference of Regulatory Networks Through Temporally Sparse Data” got accepted in the Frontiers Control Engineering [Dec 2022].

I gave an invited talk on AI/ML application in healthcare at Oracle’s Health and AI Services  [August 2022].

We received a three-year National Institute of Health (NIH) NIBIB Trailblazer award [June 2022].

Our paper titled “Bayesian Optimization for Expensive Smooth-Varying Functions” got accepted in the IEEE Intelligent Systems, 2022 [March 2022].

I have joined the Editorial Board of IEEE Transactions on Neural Network Learning Systems [Jan 2022].

Our paper titled “Optimal Bayesian Biomarker Selection for Gene Regulatory Networks under Regulatory Model Uncertainty” got accepted in the American Control Conference (ACC), 2022 [January 2022].

I have joined the Editorial Board of IEEE Transactions on Vehicular Technology [Sep 2021].

I joined as an Assistant Professor to the ECE department at Northeastern University in Fall 2021 [July 2021].

We received four-year Army Research Office award [July 2021].

I served as a session co-chair in 2021 American Control Conference (ACC) [May 2021].

Our paper titled “Graph-Based Bayesian Optimization for Large-Scale Objective-Based Experimental Design” got accepted in the IEEE Transactions on Neural Networks and Learning Systems, 2021 [April 2021].

Our paper titled “Two-Stage Bayesian Optimization for Scalable Inference in State Space Models” got accepted in the IEEE Transactions on Neural Networks and Learning Systems, 2021 [March 2021].

I was selected as an Aspiring PI Awardee to participate in 2021 Smart Health in the AI and COVID Era hosted by the SCH Program at NSF, Virtual [March 2021].

I elevated to the grade of IEEE Senior member [February 2021].

Our paper titled “Scalable Inverse Reinforcement Learning Through Multi-Fidelity Bayesian Optimization” got accepted in the IEEE Transactions on Neural Networks and Learning Systems, 2021 [January 2021].

Our paper titled “Partially-Observed Discrete Dynamical Systems” got accepted in the American Control Conference (ACC), 2021 [January 2021].

Our paper titled “Adaptive Real-Time Filter for Partially-Observed Boolean Dynamical Systems” got accepted in the 46th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021 [January 2021].

Our paper titled “Bayesian Surrogate Learning for Uncertainty Analysis of Coupled Multidisciplinary Systems” got accepted in the ASME Journal of Computing and Information Science in Engineering, 2021 [January 2021].

We organized half-day workshop titled “Scalable, Reliable and Online Bayesian Learning” in 2020 IEEE 16th International Conference on Automation Science and Engineering (CASE), 2020 [August 2020].

Our paper titled “Optimal Finite-Horizon Perturbation Policy for Inference of Gene Regulatory Networks” got accepted in IEEE Intelligent Systems, 2020 [August 2020].

We organized half-day workshop titled “Machine Learning for Scalable, Reliable and Online Design and Decision Making” workshop in IEEE Conference on Control Technology and Applications (CCTA), 2020 [August 2020].

We received a two years National Science Foundation (NSF) award.

We received a one year University Facilitating Fund (UFF) program award through GW Office of Vice-President for Research’s.

I visited and gave a talk on “Scalable and Reliable Experimental Design: A Bayesian Perspective” in the National Institute of Standards and Technology (NIST), Gaithersburg, MD. [Jan 2020]

Our paper titled “Bayesian Optimization Objective-Based Experimental Design” got accepted for oral presentation at the American Control Conference (ACC), Denver, CO, 2020 [Jan 2020].

Our paper titled “Bayesian Optimization for Efficient Design of Uncertain Coupled Multidisciplinary Systems” got accepted for oral presentation at the American Control Conference (ACC), Denver, CO, 2020 [Jan 2020].

I gave a talk on “Bayesian Learning and Decision Making in Business” in the Wells Fargo in Mc Lean, Virginia. [Jan 2020]

I gave a talk on “Practical Bayesian Learning and Decision Making: Scalability, Explainability and Reliability” in the Boeing company. [Jan 2020]

I visited the National Center for Toxicological Research (NCTR) at U.S. Food and Drug Administration (FDA) and gave a talk on “Scalable Bayesian Learning and Modeling in  Genomics and Metagenomics” in Jefferson County, Arkansas. [Jan 2020]

I was selected as an Aspiring PI Awardee to participate in 2020 Advancing Health Through Science Workshop hosted by the SCH Program at NSF, NIH and IHMS Laboratory, VA. [Jan, 2020]

I attended the 2019 NeurIPS conference and had the opportunity to meet Prof. Richard S. Sutton, Prof. Zoubin Ghahramani and Prof. Yoshua Bengio.  [Dec, 2019]

I participated in a two-day NSF-funded Robot Learning Workshop at Lehigh University. [Oct, 2019]

I had a talk titled “Research and Beyond” at the George Washington University, Washington, DC [Oct, 2019].

Our paper titled “Boolean Kalman Filter and Smoother Under Model Uncertainty” got accepted in Automatica journal, Elsevier [Oct, 2019].

Our paper titled “Offline Fault Detection in Gene Regulatory Networks using Next-Generation Sequencing Data” got accepted for oral presentation at the 53rd Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, 2019 [Aug, 2019].

I officially started my work as an Assistant Professor in the ECE department at GWU [Aug, 2019].