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Assistant Professor
Department of Electrical and Computer Engineering
Illinois Institute of Technology, Chicago, IL 60616
Email: rwang74 (you can make the “at”) iit (dot) edu

Openings

Prospective graduate students: I am looking for highly motivated PhD/Master students with a background in Artificial Intelligence/Machine Learning/Signal Processing/Mathematics/Power Systems. Please contact me along with your CV and transcript if you are interested.

Externship/internship/visiting students: I am open to collaboration with highly motivated students. Interested candidates are strongly encouraged to contact me by email.

Short Bio

Ren Wang was a postdoctoral research fellow (and a lecturer) in the Department of Electrical Engineering and Computer Science at the University of Michigan. He received his Ph.D degree from the Department of Electrical, Computer, and Systems Engineering at Rensselaer Polytechnic Institute. He received both his bachelor’s degree and master’s degree in Electrical Engineering from Tsinghua University. His research interests include Trustworthy Machine Learning, Population-Based Machine Learning, Machine Learning for Smart Grid, and Machine Learning for Biology (see research lab intro here).

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Recent Activities

11/2024 I am organizing a workshop on "Privacy and Interpretability in Generative AI: Peering into the Black Box", which will be held on Nov.22 (Friday) in-person at Illinois Tech. If you're interested in the workshop, please consider registering for it (The registration is free).
06/2024 IDEAL is organizing the Annual Meeting and the Industry Day on June 6th and 7th. You are welcome to register for the event here.
04/2024 Jane receives first place in the Best Presentation Award for Ph.D. Research at 2024 ECE Day - Student Research Competition. Congrats! .
02/2024 Our paper on Towards Multi-Task Privacy Preserving In Deep Learning was accepted by IEEE Access.
01/2024 Our paper on Identifying Backdoor Data with Optimized Scaled Prediction Consistency was accepted by ICLR 2024.
01/2024 Ignacio's paper on Comprehensive Analysis of PINNs for Power System Transient Stability was accepted by Electronics. Congrats!
10/2023 I am organizing the Frontiers of Data Science: Theory, Applications, and Trustworthiness Seminar at Illinois Tech.
10/2023 I attended the "ASEE DELTA Junior Faculty Institute".
09/2023 I am organizing a workshop on "Trustworthiness in the Presence of Adversaries and Strategic Agents in ML", which will be held on Oct.12 (Thursday) in-person at Northwestern. If you're interested in the workshop, please consider registering for it.
08/2023 I've been honored with the NSF FMitF Award. A huge thank you to NSF for the support!
07/2023 I was invited to give a talk on Deep Learning Attacks and Defenses at the Oak Ridge National Laboratory
07/2023 I enrolled in the IEEE PES GM 2023 Mentoring Program as an academic mentor
06/2023 I received the 2023 ORAU Ralph E. Powe Junior Faculty Enhancement Award (35 among 167 applications from 93 institutions). Thanks, ORAU!
04/2023 Our paper on Enhancing Healthcare Model Trustworthiness through Theoretically Guaranteed One-Hidden-Layer CNN Purification was accepted by ICLR 2023 TML4H.
03/2023 I will serve as a guest editor for the upcoming special issue on Advances in Enhancing Energy and Power System Stability and Control in the journal, Electronics (check our banner and flyer). This is an incredible opportunity to contribute to the cutting-edge research in this field and I would like to invite you to join me in this endeavor. Please consider submitting your paper to this special issue!
02/2023 I received the NSF CISE Research Initiation Initiative (CRII) Award [News]. Thanks NSF for the support!
02/2023 Our paper on Physics-Aware Backdoor Attacks in Power System Applications was accepted by the 2023 IEEE PES General Meeting.
02/2023 I gave a talk on Practical Machine Learning Attacks and Defenses at Wayne State University
01/2023 Our paper on poisoning attack mitigation using self-training was accepted by AAAI’s Workshop on AI Safety and was selected as the Best Paper Award Finalist.
12/2022 Our paper on Physics-Constrained Adversarial Training was accepted by IEEE Transactions on Artificial Intelligence.
11/2022 I gave a talk on Trustworthy Machine Learning in the IIT ECE Research Seminar.
10/2022 I gave a talk on Trojan Attacks and Defenses at the IDEAL.
09/2022 I joined the Institute for Data, Econometrics, Algorithms, and Learning (IDEAL) as a faculty member.
09/2022 Our paper on kNN attack and defense was accepted by IEEE Access.
08/2022 I joined the Illinois Institute of Technology as a Tenure-Track Assistant Professor.