Computer Science Department

Seminar Series

Fall 2020

  • 9/24 Enes Bilgin (1:20pm) -- Real-World Reinforcement Learning: Challenges and Opportunities

    Real-World Reinforcement Learning: Challenges and Opportunities
    Enes Bilgin
    Microsoft

    When: Thu, 9/24, 1:20-2:15pm EDT
    Where: the Zoom link will be sent out by email
    (If you would like to be added to the distribution list, please contact Kristina Striegnitz at striegnk@union.edu)

    Abstract:
    Reinforcement Learning (RL) is becoming increasingly popular among the machine learning community, thanks to the super-human level performance demonstrated in games like Atari 57, Go, Dota 2, and StarCraft. Many also see RL as a path to Artificial General Intelligence as it promises to tackle complex sequential decision-making problems under uncertainty, similar to animal learning and behavior. On the other hand, we are yet to see the hockey-stick growth in the value RL has the potential to deliver for real-world applications outside of game settings, such as in robotics, manufacturing, supply chain, and more. This talk focuses on what the obstacles in applying RL to real-world problems are, how the recent developments in literature are proposing solutions to these challenges, and how the big tech companies are incorporating RL into their AI-as-a-service offerings for their customers in the industry.

    Bio:
    Dr. Enes Bilgin is a Sr. AI Engineer in Microsoft’s Autonomous Systems organization, with expertise in Reinforcement Learning (RL). His work focuses on democratizing RL for a broad array of industries as part of Microsoft’s Project Bonsai. To this end, he develops “Machine Teaching” methods to enable subject matter experts to transfer their know-how to AI models in an intuitive and effective manner. Prior to Microsoft, Dr. Bilgin worked at MathWorks, AMD, and Amazon as a researcher and engineer. He was also an adjunct faculty at Texas State University and at the McCombs School of Business at the University of Texas at Austin. Dr. Bilgin holds a Ph.D. in Systems Engineering from Boston University.

  • 10/8 Fatih Camci (1:20pm) -- Prognostics and Health Management for Computer Scientists

    Prognostics and Health Management for Computer Scientists
    Fatih Camci
    Amazon

    When: Thu, 10/8, 1:20-2:15pm EDT
    Where: the Zoom link will be sent out by email
    (If you would like to be added to the distribution list, please contact Kristina Striegnitz at striegnk@union.edu)

    Abstract:
    Prognostics and Health Management (PHM) aims to increase safety and availability of engineering systems and reduce their ownership costs by predicting failures and avoiding unnecessary maintenance. PHM has been attracting industry and researchers from various fields in recent decade with its potential benefits. This presentation introduces the PHM field to computer science students and academics. The presentation will start with general introduction to the field with potential benefits. Then the challenges of PHM will be discussed as problems within computer science field.

    Bio:
    Dr. Fatih Camci has worked on research projects on application of machine learning and predictive analytics techniques on Prognostics Health Management (PHM) and Energy. His PhD work was supported by National Science Foundation in the USA and Ford Motor Company on development of novelty detection, diagnostics, and prognostics methods. He has worked as researcher and academician in the USA, UK, Turkey, and France. His research has been funded by the US Navy and the US Air Force Research Lab, TUBITAK (The Scientific and Technological Research Council of Turkey), Turkish State Railways, FEMTO-ST Institute in France, EPSRC (Engineering and Physical Sciences Research Council) in UK, Boeing, Rolls-Royce, Thales, Meggitt, BAE Systems, and OFGEM through 16 different projects (excluding internal projects). He has led nine of these projects. He has more than 70 academic publications.

  • 10/15 Darren Strash (1:20pm)

    Title tbd
    Darren Strash
    Hamilton College

    When: Thu, 10/15, 1:20-2:15pm EDT
    Where: the Zoom link will be sent out by email
    (If you would like to be added to the distribution list, please contact Kristina Striegnitz at striegnk@union.edu)

  • 10/22 Nick Seaver (1:20pm)

    Title tbd
    Nick Seaver
    Tufts University

    When: Thu, 10/22, 1:20-2:15pm EDT
    Where: the Zoom link will be sent out by email
    (If you would like to be added to the distribution list, please contact Kristina Striegnitz at striegnk@union.edu)

  • 11/5 Dan Sheldon (1:20pm)

    Title tbd
    Dan Sheldon
    University of Massachusetts Amherst

    When: Thu, 11/5, 1:20-2:15pm EDT
    Where: the Zoom link will be sent out by email
    (If you would like to be added to the distribution list, please contact Kristina Striegnitz at striegnk@union.edu)

  • 11/12 CSC 498 Poster Session (1:20pm)

    CSC 498 Poster Session
    CSC 498 students
    Union College

    When: Thu, 11/12, 1:20-2:15pm EDT
    Where: the Zoom link will be sent out by email
    (If you would like to be added to the distribution list, please contact Kristina Striegnitz at striegnk@union.edu)