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 for a project entitled “Scalable and Reliable Optimization of Expensive Multi-Modal Functions: A Bayesian Perspective” [July 2021].

I served as a 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 an National Science Foundation (NSF) CRII award to develop machine learning tools for enabling optimal incorporation of the user information during the learning process, as well as learning from multiple data sources acquired by non-similar users/experts.

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].