Hadi Hosseini

I am an Assistant Professor in the College of Information Sciences and Technology at Penn State University. Previously, I was an Assistant Professor in the Department of Computer Science at Rochester Institute of Technology (RIT). Prior to that I was a postdoctoral research fellow at Carnegie Mellon University, hosted by Ariel Procaccia. I completed my Ph.D. in Computer Science at the University of Waterloo, advised by Kate Larson and Robin Cohen.

I usually work on problems related to Artificial Intelligence and Multiagent Systems. More specifically, I am interested in problems at the interface of computer science and economics. I often study different aspects of self-interested players in multiagent systems, and develop algorithms and techniques to achieve certain computational and game-theoretical properties.

Multiple Open Positions

I have multiple open positions at various levels (PhD, Masters, visting scholars, and undergraduate students) to work in the areas of multiagent systems, fair division, matching theory, and in general the intersection of AI and economics. I am especially looking for highly-motivated candidates with strong background in algorithm design and solid programming skills. Prior research experience in the fields of artificial intelligence and algorithm design is an asset. Students with background in economics, mathematics, or other related areas are also encouraged to apply.
Please take a look at my recent publications and contact me with a short description about yourself, your interests, and CV.

MatchU.ai is born!

MatchU.ai blends education and research by offering an interactive platform to find how to form mutually beneficial relationships, decide how to distribute resources, or resolve conflicts about a set of alternatives through a suite of algorithms rooted in economics, computer science, and artificial intelligence.

News

  • Feb. 2021
    Co-organizing the 3rd Games, Agents and Incentives Workshop at AAMAS-2021

    Consider submitting your papers to the 3rd Games, Agents and Incentives Workshop (GAIW) @AAMAS 2021.
    See more details here.

  • Jan. 2021
    Invited Speaker at Applied Mechanism Design at IJCAI-21

    Invited to speak about my work on fair division along with a set of wonderful researcher on mechanism design. See more details here. Watch the video here.

  • Dec. 2020
    3 papers accepted to AAAI-21
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    2 full papers and 1 short abstract to be presented in AAAI-21!

  • Aug. 2020
    New Position at Penn State University
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    I am thrilled to announce that I will be joining Penn State University as an Assistant Professor of Artificial Intelligence in Fall 2020.

    I am deeply grateful to my colleagues, collaborators, and mentors at RIT for wonderful three years.

  • Apr. 2020
    1 full paper accepted in IJCAI-20 (acceptance rate ~12%)
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    1 full paper to be presented in IJCAI-PRICAI-20!

  • 2020
    Nominated for Outstanding Teaching Award (x2)

    Rochester Institute of Technology

  • Jan. 2020
    WXXI Radio Interview: Can AI help us become more fair as a society?
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    Connections: Can AI help us become more fair as a society?
    Listen to my interview: WXXI Radio Link.

  • Dec. 2019
    Andrew Searns received Honorable Mention, CRA Outstanding Undergraduate Researcher Award!

    Congratulations to Andrew Searns, my undergraduate student at RIT working on fairness in resource allocation, who has received an Honorable Mention for the CRA Outstanding Undergraduate Researcher Award!

  • Nov. 2019
    3 papers accepted in AAAI-20
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    1 full paper, 1 demo paper, and 1 short abstract to be presented in AAAI-20!

  • Nov. 2019
    WXXI Radio Interview: Will artificial intelligence enhance or replace human activity?
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    Connections: Will artificial intelligence enhance or replace human activity?
    Listen to my interview: WXXI Radio Link.

  • 2019
    NSF CRII Award
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    I was awareded Research Initiation Initiative (CRII) to work on fair division problems in dynamic environments.

  • 2019
    NSF IUSE Award
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    Title: Using Program Dependence Graphs to Propagate Feedback to Students on Programming Assignments and Promote Responsive Teaching.
    With Carlos Rivero and Zack Butler

  • 2019
    Two AAMAS Papers

    Two papers accepted at AAMAS: one full paper and one short paper.

    International Conference on Autonomous Agents and Multiagent Systems (AAMAS)

    More information: AAMAS Conference

  • 2018
    Best Program Committee (PC) Member
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    International Conference on Autonomous Agents and Multiagent Systems (AAMAS)

    More information: AAMAS Awards

  • 2018
    Nominated for Outstanding Teaching Award

    Rochester Institute of Technology