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.
ResearchwithNJ.com is sponsored by the New Jersey Commission on Science, Innovation and Technology. We invite you to explore our state’s vast array of intellectual capital and become part of New Jersey’s growing innovation ecosystem.
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Latest Research output
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Generative IoT: advancing IoT with generative AI and large language models
Firouzi, F., Ray, A., Farahani, B., Daneshmand, M., Song, J., Wu, S. & Chakrabarty, K., Jun 2026, In: Digital Communications and Networks. 12, 6, p. 869-893 25 p.Stevens Institute of Technology
Research output: Contribution to journal › Article › peer-review
Open Access -
A mean quadratic variation approach to optimal portfolio selection
Wei, J. & Cui, Z., 2026, In: European Journal of Finance. 32, 9, p. 1072-1096 25 p.Stevens Institute of Technology
Research output: Contribution to journal › Article › peer-review
Open Access -
Adaptive Graph Learning with Transformer for Multi-Reservoir Inflow Prediction
Hu, P., Fan, M., Han, X., Lu, C., Zhang, W., Kang, H., Ning, Y. & Lu, D., 2025, Proceedings - 25th IEEE International Conference on Data Mining Workshops, ICDMW 2025. IEEE Computer Society, p. 827-835 9 p. (IEEE International Conference on Data Mining Workshops, ICDMW).Stevens Institute of Technology
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Molecular Modeling and machine learning for predicting high-concentration antibody viscosity
Baizhigitova, D., Wu, I. E., Kalejaye, L. & Lai, P. K., Jun 2026, In: Advanced Drug Delivery Reviews. 233, 115839.Stevens Institute of Technology
Research output: Contribution to journal › Article › peer-review
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PANTHER Challenge Report: Cross-Domain Pancreatic Tumor Segmentation in Magnetic Resonance Imaging
Betancourt Tarifa, A. S., Verheij, M., Monshouwer, R., Heerkens, H. D., Mahmood, F., Bernchou, U., Karlsson, E. H., Durugöl, Ö. F., Rokuss, M., Kirchhoff, Y., Hémon, C., Boussot, V., Nunes, J. C., Dillenseger, J. L., Bian, C., Zhang, L., Ning, Y., Huang, C., Wang, L. & Kolpetinou, K. & 4 others, , Sep 2026, In: Medical Image Analysis. 113, 104186.Stevens Institute of Technology
Research output: Contribution to journal › Short survey › peer-review
Open Access