Current Grants:

NIH (National Institute of Health):  

• New Jersey Alliance for Clinical and Translational Science (03/2019-03/2023)

 
DOE (Department of Energy):

• Intelligent experiments through real-time AI: Fast Data Processing and Autonomous Detector Control for sPHENIX and future EIC detectors (01/2022-12/2026). Please click here for more information (https://news.njit.edu/data-science-professor-helps-uncover-cosmic-mysteries-nuclear-physics)

The upcoming sPHENIX experiment, scheduled to start data taking at the BNL Relativistic Heavy Ion Collider in 2023, and the future EIC experiments will employ sophisticated state-of-the-art, high rate detectors to study high energy heavy ion and electron-ion collisions, respectively. The resulting large volumes of raw data far exceed available DAQ and data storage capacity. To meet this challenge, we propose to develop a selective streaming readout system, comprising state-of-the-art AI-based fast data processing and autonomous detector control systems. This will allow to effectively sample the full high energy collision events delivered by the accelerators, while maintaining the final data throughput for offline storage at a manageable level within the available DAQ bandwidth, storage and computing capacity. This project designs real-time AI-based algorithms operating on high-rate data streams, allowing identification of important rare physics events from abundant backgrounds in the sPHENIX's p+p and p+Au collisions, as well as in the future EIC experiments, such as the one proposed by the ECCE consortium. We will co-design  physics-aware high-speed deep neural networks that automatically perform complex tasks of collision event reconstruction and analysis, monitor and calibrate the beam interaction points, and align detectors in real-time.  Demonstrating such a full system integration will be the first step in autonomous control loops of powerful online AI algorithms for large scale, complex high energy nuclear physics experiments.

• Inter-Campus Network Enabled by Atomic Quantum Repeater Nodes (09/2019-09/2023) 

Completed Grants

• 1. PI, Department of Energy (DOE), $1,200,000, 10/01/2004-12/31/2010, "TeraPaths: A QoS Enabled Collaborative Data Sharing Infrastructure for Peta-scale Computing Research".

  2. Co-PI, Department of Energy (DOE), $1,500,000, 10/01/2009-05/31/2012. "End Site Control Plane Subsystem".

  3. PI, Department of Energy (DOE), $1,600,000, 10/01/2009-09/31/2012, "Integrating Storage Resource Management with Dynamic Network Provisioning for Automated Data Transfer".

  4. PI, Department of Energy (DOE), $1,500,000, 03/01/2010-02/28/2013, "100G FTP: An Ultra-High Speed Data Transfer Service Over Next Generation 100 Gigabit Per Second Network".

  5. PI, Stony Brook University, research infrastructure matching fund, $75,000, 03/01/2010-02/28/2013, "100G FTP: An Ultra-High Speed Data Transfer Service Over Next Generation 100 Gigabit Per Second Network".

  6. PI, Stony Brook University, College of Engineering and Applied Sciences, matching fund, $45,000, 12/01/2009-11/30/2012.

  7. PI, Brookhaven National Lab, Laboratory Directed Research and Development (LDRD), $492,189, 10/01/2009-09/30/2011, "Petascale Data Mining for BNL Data Intensive Sciences.