Projects per year
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Dive into the research topics where Rutgers Camden, Computer Science is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
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Profiles
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Iman Dehzangi
- Rutgers, The State University, Rutgers Camden, Computer Science - ASST PROFESSOR ACD YR
Person
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Rajiv Gandhi
- Rutgers, The State University, Rutgers Camden, Computer Science - PROFESSOR I ACD YR
Person
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Sheikh Rabiul Islam
- Rutgers, The State University, Rutgers Camden, Computer Science - ASST PROFESSOR ACD YR
Person
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Collaborative Research: EnCORE: Institute for Emerging CORE Methods in Data Science
Tchetgen Tchetgen, E. J. (CoPI), Gandhi, R. (CoPI), Tchetgen Tchetgen, E. J. (CoPI), Hassani, H. (CoPI) & Hassani, H. (PI)
9/1/22 → 8/31/27
Project: Research
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Codes For Life - Artificial Intelligence and Sustainable Software for Biomolecular Interactions
Grigoriev, A. (CoPI), Brannigan, J. G. (PI), Geneva, A. (CoPI), Dehzangi, I. (CoPI) & Lamoureux, G. (CoPI)
4/1/22 → 3/31/27
Project: Research
Research output
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Approximations and Hardness of Covering and Packing Partially Ordered Items
Doron-Arad, I., Kortsarz, G., Naor, J., Schieber, B. & Shachnai, H., 2025, Graph-Theoretic Concepts in Computer Science - 50th International Workshop, WG 2024, Revised Selected Papers. Kráľ, D. & Milanič, M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 166-180 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14760 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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DHUpredET: A comparative computational approach for identification of dihydrouridine modification sites in RNA sequence
Sultan, M. F., Karim, T., Hossain Shaon, M. S., Azim, S. M., Dehzangi, I., Akter, M. S., Ibrahim, S. M., Ali, M. M., Ahmed, K. & Bui, F. M., Jul 2025, In: Analytical Biochemistry. 702, 115828.Research output: Contribution to journal › Article › peer-review
Open Access -
ExShall-CNN: An Explainable Shallow Convolutional Neural Network for Medical Image Segmentation
Khalkhali, V., Azim, S. M. & Dehzangi, I., Mar 2025, In: Machine Learning and Knowledge Extraction. 7, 1, 19.Research output: Contribution to journal › Article › peer-review
Open Access