News

• DISys Lab Members are presenting their work at INFORMS 2024

  10/19/24

  Lucius and Ricky are going to be presenting their research pertaining to Importance Weighted Autoencoders (TA76: Computational Perspectives for Promoting Industrial Decarbonization) and decentralized formulations for decarbonized process heating. Mohaimanul is presenting his work on decentralized methods of scenario generation (WC20: Application of Federated and Distributed Learning Frameworks).

  You can read more about it here

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

  09/30/24

  The grant from the Secure and Trustworthy Cyberspace (SaTC) program of NSF explores privacy preserving, decentralized detection of attacks in multi-stakeholder infrastructure systems. Part of the research will look into statistical guarantees and cryptographically secure proofs of computation regarding detection outcomes.

  You can read more about it here

• Paper accepted at Cell Reports Physical Science

  07/12/24

  Our paper entitled "Catalyzing Deep Decarbonization : Federated Battery Diagnosis and Prognosis for Better Data Management in Energy Storage Systems" has been accepted in Cell Reports Physical Science. In this paper we explore an understated benefit of decentralized federated learning paradigms that enables small and medium sized enterprises (SMEs) to reduce the barrier of entry for accessing sophisticated machine learning insights. We demonstrate SMEs in the energy storage industry can obtain high quality, prognostics outcomes in a fully decentralized fashion without the need to move their data. This is joint work with Dr. Murat Yildirim from Wayne State University and Drs. Susan Babinec, Feng Qiu and Noah Paulson from Argonne National Labs.

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

  07/01/24

  The NSF EAGER grant that focuses on developing privacy focused decentralized methodologies to securely and safely integrate chemical process heating systems with existing renewable-driven, electric transmission systems. This is joint work with Dr. Zheyu Jiang from School of Chemical Engineering at OSU.

  You can read more about it here

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

  06/10/24

  Our paper "The Lynchpin of In-Memory Computing: A Benchmarking Framework for Vector-Matrix Multiplication in RRAMs" has been accepted in ACM ICONS 2024. In this paper, we develop a novel, scalable framework for simulating matrix vector multiplications in analog space on neuromorphic computational systems. Our framework can be used to develop higher order optimization and AI libraries that can be executed and simulated on neuromorphic accelerators. This is joint work with Dr. Murat Yildirim, Gozde Tutuoncuoglu from Wayne State University.

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

  05/18/24

  Dr. Ramanan's session entitled "Privacy and Security in Power Systems" included talks on decentralized planning and operations in the power system domains while also including latest DISys Lab research on decentralized scenario generation.

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

  03/27/24

  PhD students Mohaimanul Islam and Lucius Vo have been declared finalists for the Energy Systems Division, Best Student Paper Award competition at the Institute of Industrial and Systems Engineers Annual Conference 2024 to be held in Montreal, Canada. Their submission entitled "SplitVAES: Decentralized generation of scenarios from siloed data for stochastic optimization in large-scale power systems" focuses on generating high quality data driven scenarios for stochastic optimization problems.