December 2023. We have recieved a Jacobs School Early Career Faculty Development Award to support our research on Explainable Machine Learning!

December 2023. Our paper Robust Control Barrier Functions for Sampled-Data Systems has been accepted in the IEEE Control Systems Letters. Congratulations, Pradeep!

December 2023. Ishika presented her Design Challenge on “social networks” to students at Metro Middle School as part of the Translating Engineering Research to K-8 (TEK8) program.

November 2023. Parinaz is an invited participant at the U.S. National Academy of Sciences’ 2nd U.S.-Africa Frontiers of Science, Engineering, and Medicine symposium.

November 2023. Preprint of our work on a new transfer algorithm for reinforcement learning available on arXiv.

July 2023. Our paper “United We Fall: On the Nash Equilibria of Multiplex Network Games” got accepted in Allerton. Congratulations, Raman!

April 2023. Congratulations to our group members Pradeep Sharma Oruganti (PhD), Altan Turkoglu (MSc), Ian Thompson (BSc), and Jiaqi Xu (BSc) for the successful defense of their theses!

April 2023. Parinaz gave a talk on “(Fair) ML with Human in the Loop: Strategic Behavior and Incentive Design” at the Midwest Workshop on Control and Game Theory.

April 2023. Our paper “The Impact of Network Design Interventions on the Security of Interdependent Systems” is accepted in the IEEE Transactions on Control of Network Systems. Congratulations, Pradeep!.

April 2023. Parinaz is voted “Outstanding ISE Faculty Member” by the ISE class of 2023!

February 2023. Parinaz gave a talk on “Adaptive Data Debiasing through Bounded Exploration” at ITA 2023.

January 2023. We have received a new grant from Cisco research to study fair federated learning from biased datasets.

January 2023. Our paper “Safe Control Using High-Order Measurement Robust Control Barrier Functions” got accepted in ACC 2023. Congratulations, Pradeep!

January 2023. Armela and Shahid, juniors at Metro High School, are joining our group to work on their Capstone project on AI fairness during Spring 2023. Welcome!

January 2023. Parinaz gave a talk on “Social Bias Meets Data Bias: Biased Training Data and Fair AI” at the Vanderbilt Machine Learning Seminar.

December 2022. Ian is awarded a research grant from the OSU college of engineering to support his Undergraduate Honors Research. Congratulations, Ian!

November 2022. Our paper “Social Bias Meets Data Bias: The Impacts of Labeling and Measurement Errors on Fairness Criteria” got accepted in AAAI 2023 (~19.6% acceptance rate). Congratulations, Yiqiao!

November 2022. Yifan has received a “NeurIPS 2022 Scholar Award” to attend the conference. He will also be a group leader for the NeurIPS 2022 High School Outreach Program. Congratulations, Yifan!

October 2021. Parinaz will serve as a Workshop co-chair for MobiHoc 2023.

September 2022. Our paper “Adaptive Data Debiasing Through Bounded Exploration” got accepted in NeurIPS 2022 (~25.6% acceptance rate). Congratulations, Yifan!

September 2022. We received an award from the NSF FW-HTF program for our project “Future of Construction Workplace Health Monitoring”, in collaboration with Penn State (lead) and U. Delaware! [Link]

August 2022. Our paper “DiPLe: Learning Directed Collaboration Graphs for Peer-to-Peer Personalized Learning” got accepted in ITW 2022. Congratulations, Xue!

July 2022. Our work “Adaptive Data Debiasing Through Bounded Exploration” was presented by Yifan in the ICML 2022 Responsible Decision Making in Dynamic Environments Workshop.

May 2022. Our paper “Fairness Interventions as (Dis)Incentives for Strategic Manipulation” got accepted in ICML 2022 (~21.9% acceptance rate)!

May 2022. Our paper “Incentive Mechanisms for Strategic Classification and Regression Problems” got accepted in EC 2022 (~27% acceptance rate)!

April 2022. Parinaz gave a (virtual) talk at the Institute for Foundations of Data Science (IFDS) Ethics and Algorithms SIG.

April 2022. Two recent works were presented in the ICLR 2022 workshop on Socially Responsible Machine Learning. “Incentive Mechanisms in Strategic Learning” led by Kun was presented as a contributed talk and “The Impacts of Labeling Biases on Fairness Criteria” by Yiqiao was presented as a poster.

March 2022. Our paper “TASHAROK: Using Mechanism Design for Enhancing Security Resource Allocation in Interdependent Systems” got accepted in IEEE S&P (Oakland) (~14% acceptance rate)!

January 2022. Parinaz received an NSF CAREER award for the study of decision making, learning, and incentive design in multilayer networks. [OSU Engineering News]

January 2022. New grant from Cisco research to study fair algorithmic decision making through statistical data biasing. [OSU OIED News]

December 2021. Xue successfully defended her MSc thesis on “Learning Directed Collaboration Graphs for Peer-to-Peer Personalized Learning”. Congratulations, Xue!

November 2021. Parinaz is a member of the inaugural cohort in OSU’s STEAM Factory Racial Justice Pathways program.

October 2021. Parinaz gave a (virtual) talk on “Social Bias Meets Data Bias: Correcting Biases through Bounded Exploration and Fairness” at the School of Computing and Information Sciences, Florida International University. [YouTube]

October 2021. New preprint on “Adaptive Data Debiasing through Bounded Exploration and Fairness” with Yifan Yang and Yang Liu. [arXiv]

July 2021. Our work on “The Impact of Network Design Interventions on CPS Security” got accepted in CDC’21. Congratulations, Pradeep!

March 2021. Parinaz will serve as a Submission and Publication co-chair for MobiHoc 2022.

January 2021. We received a new grant from NSF and Amazon as part of the “Fairness in AI” program to study fairness in machine learning with human in the loop. [OSU Engineering News]

January 2021. Parinaz will be an Ethics Circle Fellow at OSU’s Center for Ethics and Human Values during Spring 2021.

October 2020. Our work “Morshed: Guiding Behavioral Decision-Makers towards Better Security Investment in Interdependent Systems” led by Mustafa Abdallah got accepted at ACM ASIACCS’21!

August 2020. Parinaz is teaching a new graduate course on “Reinforcement Learning” this Fall.

March 2020. Our paper “Behavioral and Game-Theoretic Security Investments in Interdependent Systems Modeled by Attack Graphs” has been accepted in the IEEE Transactions on Control of Network Systems!

February 2020. Parinaz gives a talk on “The Impacts of Prediction Technologies on Relational Contracts” at the Information Theory and Applications Workshop (ITA) at USCD.

February 2020. Parinaz gave a talk on “Improving Cyber Security through Incentive Design and Data Analytics” at OSU’s Center for Automotive Research (CAR).