General About
Welcome to our research lab! We are a multidisciplinary team of students and faculty dedicated to exploring innovative solutions at the intersection of technology, data, and real-world impact. Our work spans areas such as computer science, electrical engineering, data analytics, urban systems, sustainability, and more. Our mission is to foster collaboration, creativity, and critical thinking through hands-on research, real-world problem solving, and community engagement. Whether we’re analyzing energy consumption patterns or developing interactive tools, we aim to contribute meaningful insights and technologies that can drive positive change. We are passionate about mentoring undergraduate researchers and building tools that make data more accessible, actionable, and impactful for society.
Learning from the field
During the summer of 2024, our group visited more than 30 community gardens across the Lower East Side, South Bronx, and East New York, guided by the amazing GreenThumb team. We spoke with local farmers, gardeners, and neighbors, listening to their stories and challenges, and learning about the vital role these spaces play.
Publications
1. Y. Xu, A. Yuan, G. W. Too, Y. Nikolov, Z. Dong and R. Rojas-Cessa, "Impact Analysis of Contributing Factors of NYC Flash Floods with Interpretable Machine Learning," 2025 IEEE Conference on Technologies for Sustainability (SusTech), Los Angeles, CA, USA, 2025
2. A. Yuan, G. W. Too, Y. Xu, Z. Dong, H. Gu and R. Rojas-Cessa, "Visualization Tool for NYC Open Data - A Time Lapse Analysis," 2025 IEEE Conference on Technologies for Sustainability (SusTech), Los Angeles, CA, USA, 2025
3. M.-V. Vladucu, H. Wu, J. Medina, K. M. Salehin, Z. Dong, and R. Rojas-Cessa, "Blockchain in Environmental Sustainability Measures: A Survey," arXiv preprint arXiv:2412.15261, Dec. 2024
4. M.-V. Vladucu, H. Wu, J. Medina, K. M. Salehin, Z. Dong, and R. Rojas-Cessa, "Blockchain on Sustainable Environmental Measures: A Review," Blockchains, vol. 2, no. 3, pp. 334–365, Sep. 2024
5. G. W. Too, A. Yuan, Z. Dong, and H. Gu, "An Evaluation Tool for Cybersickness Mitigation Techniques in a Virtual Reality Environment," in World Congress in Computer Science, Computer Engineering & Applied Computing, pp. 280–291, Springer Nature Switzerland, Jul. 2024
6. Y. Xu, M. Smirnov, M. C. Kohler, Z. Dong, R. K. Amineh, F. Li, and R. Rojas-Cessa, "A Survey of Wireless Soil Sensing Technologies," IEEE Access, vol. 12, pp. 12010–12038, Jan. 2024
7. H. Wu, Z. Dong, and R. Rojas-Cessa, "DICE: Data Imputation for Cost Estimates from Multiple Sources to Model User Decision-Making," in 2023 IEEE 35th International Conference on Tools with Artificial Intelligence (ICTAI), pp. 149–154, IEEE, Nov. 2023
8. Y. Xu, R. K. Amineh, Z. Dong, F. Li, and M. Kohler, "Wireless Sensing with Software Defined Radio," in *2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (USNC-URSI)*, pp. 1747–1748, IEEE, Jul. 2023
9. M.-V. Vladucu, Z. Dong, J. Medina, and R. Rojas-Cessa, "E-voting meets blockchain: A survey," IEEE Access, vol. 11, pp. 23293–23308, Mar. 2023
10. Y. Xu, R. K. Amineh, Z. Dong, F. Li, K. Kirton, and M. Kohler, "Software Defined Radio-Based Wireless Sensing System," Sensors, vol. 22, no. 17, p. 6455, Aug. 2022
Get In Touch
We'd love to hear from you. Send us a message and we'll respond as soon as possible.
Ziqian.Dong@nyit.edu
Location
Room 402, 1855 Broadway, New York, NY 10023