Collaborations and top research areas from the last five years
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Strategic Pillars
Our work focuses on strategic pillars that will drive significant growth in jobs & investment over the next five to fifteen years. These pillars align with the Governor’s Economic Development Plan.
About
Welcome to New Jersey’s first research asset database! ResearchwithNJ.com helps businesses and entrepreneurs identify and collaborate with our top universities and experts. This free database will help you discover thousands of experts in science, technology, engineering and mathematics (STEM) as well as their professional backgrounds, publications, and achievements. It will also help you learn about the research departments and specializations of our eight participating institutions: Hackensack Meridian Health, Kean University, Montclair State University, New Jersey Institute of Technology, Princeton University, Rowan University, Rutgers University and Stevens Institute of Technology.
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Latest Research output
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Enhancing Visual Aesthetics in Stable Diffusion: A Reinforcement Learning Approach
You, J., Lin, Y. & Hu, B., 2025, 2025 IEEE International Conference on Systems, Man, and Cybernetics: Navigating Frontiers: Smart Systems for a Dynamic World, SMC 2025 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 2833-2839 7 p. (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Data Compression for AI Model Training
Kruger, D., Kumar, Y. & Li, J., 2026, Proceedings - DCC 2026: 2026 Data Compression Conference. Bilgin, A., Fowler, J. E., Serra-Sagrista, J., Ye, Y. & Storer, J. A. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 444 1 p. (Data Compression Conference Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Tackling a Resource-Sharing Hybrid Disassembly Line Balancing Problem Using Reinforcement Learning
Qin, S., Zeng, W., Guo, X., Wang, J., Liu, S., Qi, L., Hu, B. & Wang, J., 2026, In: IEEE Transactions on Automation Science and Engineering. 23, p. 9488-9501 14 p.Research output: Contribution to journal › Article › peer-review
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Importance of Applicability Domain of QSAR Models
Roy, K. & Kar, S., 2017, Coresource 4. IGI Global, Vol. 2. p. 1012-1043 32 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
Open Access -
An analysis of spectral metrics for hyperspectral image processing
Robila, S. A., 2004, In: International Geoscience and Remote Sensing Symposium (IGARSS). 5, p. 3233-3236 4 p.Research output: Contribution to journal › Conference article › peer-review