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.

We currently have an amazing team of two doctoral, three masters and one undergrad student. We are always looking out for new members to join our group!

Recent News

  • Paper Accepted to SIAM Conference on Parallel Processing 2026!

    11/17/25 : Lucius' work on distributed PDHG for large-scale optimization has been accepted to the SIAM Conference on Parallel Processing 2026.

  • Zero-Knowledge Cyberattack Detection Presented at INFORMS 2025

    10/27/25 : Presentation on a zero-knowledge framework for cyberattack detection that enables regulatory compliance in critical infrastructure systems without exposing utility data. You can read more about it here

  • Dr. Ramanan awarded new NSF grant!

    07/22/25 : Dr. Ramanan to serve as co-PI on new NSF grant from MSI program targeting privacy aware design in bio-manufacturing. You can read more about it here

  • IISE 2025 DISys Lab Wins 2nd Place in ESD Best Student Paper Award for SplitVAEs

    06/01/25 : SplitVAEs receives the 2nd Place in the IISE Energy Systems Division (ESD) Best Student Paper Award. You can read more about it here

  • DISys Lab Members Present Work on Decentralized Optimization and Scenario Generation

    05/20/25 : Two presentations on decentralized optimization for decarbonized chemical plants and decentralized importance sampling for scenario generation using VAEs. You can read more about it here

  • Paper accepted at ICLR 2025!

    04/23/25 : Our paper on Federated Granger Causality accepted as a paper at ICLR 2025! You can read more about it here

  • Master's Thesis Defense: Congratulations Ricky!

    04/15/25 : Ricky Reed successfully defends his Master's thesis on decentralized operations planning for electrified chemical plants.

  • InCySe Hackathon 2025: Both Challenges Are Now Live!

    04/07/25 : Both the Identify-Build-Demonstrate and Find the Flag challenges for the InCySe Hackathon 2025 are now open for participation. You can read more about it here

  • Differential Privacy for Regulatory Compliance in Cyberattack Detection on Energy Systems

    03/14/25 : A presentation on privacy-preserving cyberattack detection for large-scale energy systems. You can read more about it here

  • 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.

  • Masters thesis defense: Congratulations Timman!

    12/05/23 : Timman defends Master's thesis on the use of VAEs for generating stochastic optimization scenarios