About the DISys Lab

The Distributed Intelligent Systems (DISys) Laboratory at Oklahoma State University is headed by Prof. Paritosh Ramanan, an Assistant Professor in the School of Industrial Engineering and Management. Our primary research objectives lie in exploring novel distributed algorithmic and computational frameworks to tackle efficiency, privacy, and security issues in large-scale industrial systems. Research at the lab consists of developing new distributed and decentralized methodologies focusing on optimization, machine learning and analytics. A significant part of our research also revolves around scalability and implementation oriented design challenges that have led to open-sourced projects as well as patents. Our research is being applied to alleviate critical gaps in exciting areas such as cybersecurity of Industrial Control Systems (ICS), chemical process decarbonization, energy systems, and neuromorphic computing. You can read more about our research here!

We currently have an amazing team of two doctoral and two masters students and are always looking out for new members to join our group!

Recent News

  • DISys Lab Members are presenting their work at INFORMS 2024

    10/19/24 : Three planned presentations regarding decarbonization and scenario generation methods. You can read more about it here

  • NSF SaTC grant for decentralized cyber attack detection in critical infrastructure networks

    09/30/24 : New NSF grant to study privacy and trust for cyberattack detection on critical infrastructure. You can read more about it here

  • Paper accepted at Cell Reports Physical Science

    07/12/24 : New paper explores federated learning to carry out prognostics for batteries without the need to move data

  • NSF EAGER Grant for addressing privacy challenges in chemical process decarbonization

    07/01/24 : Dr. Ramanan leads a new NSF grant to support research on decentralized optimization methods for industrial decarbonization You can read more about it here

  • Paper accepted at ACM International Conference on Neuromorphic Systems (ICONS) 2024

    06/10/24 : New paper explores a computational simulation framework for large scale neuromorphic computing systems.

  • IISE'24: Dr. Ramanan chairs a session and presents research on decentralized scenario generation

    05/18/24 : Dr. Ramanan's session and presentation was part of the Energy Systems Division track at IISE 2024.

  • Finalists for Energy Systems Division, Best Student Paper at IISE 2024

    03/27/24 : Mohaimanul and Lucius have qualified for the best student paper award at the Energy Systems Division track at IISE 2024.