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].