Publications:
- Libon D., Swenson R., Lamar M., Price C., Baliga G., Pascal-Leone A., Cosentino S. and Anderson S., The Boston Process Approach and digital neuropsychological assessment: Past research and future directions, accepted for publication in the Journal of Alzheimer’s Disease. (IF 4.47)
- Emrani S., Lamar M., Price C.C., Baliga S., Wasserman V., Matusz E., Saunders J., Gietka V., Strate J., Swenson R., Baliga G. and Libon D.J, Neurocognitive constructs underlying executive control in statistically-determined Mild Cognitive Impairment, Journal of Alzheimer’s Disease, vol. 82(1), p.5- 16, 2021. (IF 4.47, co-corresponding author)
- Libon D.J, Baliga G., Swenson R. and Au R., Digital Neuropsychological Assessment: New Technology for Measuring Subtle Neuropsychological Behavior, Journal of Alzheimer’s Disease, vol. 82(1), p.1-4, 2021. (IF 4.47, co-corresponding author)
- C. Thatcher (CS GAANN fellow) and N. Wang, “Optimizing Bike Rebalancing via Spatial Crowdsourcing: A Matching Approach,” Proc. of International Conference on Cyber-physical Social Intelligence (ICCSI’21)
- J. Zhang, J. Li, N. Wang, B. Wu, “An Enhanced Predictive Hierarchical Power Management Framework for Islanded Microgrids,” accepted to appear in IET Generation, Transmission & Distribution, 2021.
- Jennifer S. Kay, “Peer Grading without Protest: The SPARK Approach to Summative Peer Assessment.” To appear in Proceedings of SIGCSE 2022, The 53rd ACM Technical Symposium on Computer Science Education, March 2022.
- Hieu D. Nguyen, Mohammed Sarosh Khan (BSMS - DS), Nicholas Kaegi (BS CS), Shen-Shyang Ho, Jonathan Moore (Math), Logan Borys (Math), Lucas Lavalva (BS CS), Ensemble Learning using Error Correcting Output Codes: New Classification Error Bounds, 33rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI2021), November 1-3, 2021.
- N. Wang, Y. Duan, and J. Wu, “Accelerate Cooperative Deep Inference via Layer-wise Processing Schedule Optimization", Proc. of 30th International Conference on Computer Communications and Networks (ICCCN’21) (CORE Ranking: A)
- Y. Duan, N. Wang and J. Wu, “Minimizing Training Time of Distributed Machine Learning by Reducing Data Communication,” accepted to be appear in IEEE Transactions on Network Science and Engineering (TNSE), 2021. (Impact Factor 5.213)
- Sheina Emrani, Melissa Lamar, Catherine Price, Satya Baliga, Victor Wasserman, Emily Matusz, Johnathan Saunders, Vaughn Gietka, James Strate, Rod Swenson, Ganesh Baliga* and David Libon*, Neurocognitive Constructs Underlying Executive Control in Statistically-Determined Mild Cognitive Impairment, accepted for publication in the Journal of Alzheimer’s Disease, Impact Factor: 3.9. *: corresponding author.
- Ning Wang, Jie Li, Shen-Shyang Ho, Chenxi Qiu, Distributed Machine Learning for Energy Trading in Electric Distribution System of the Future, The Electricity Journal, Volume 34, Issue 1, 2021.
- Woon Huei Chai, Quek Chai, and Shen-Shyang Ho, A Novel Quasi-Newton Technique for Composite Convex Minimization, Pattern Recognition (IF: 7.740)
- Shen-Shyang Ho, Matthew Schofield, Ning Wang, Learning incentivization strategy for resource rebalancing in shared services with a budget constraint, J. Appl. Numer. Optim. 3 (2021), 105-114.
- S. Lu, J. Wu, Y. Duan, N. Wang, and J. Fang, “Towards cost-efficient resource provisioning with multiple mobile users in fog computing,” Journal of Parallel and Distributed Computing, Vol. 146, pp 96-106, 2020.
- Tapan Soni, Richard Baird, Dr. Lobo, and Dr. Heydari, “Using Least-Significant Bit and Random Pixel Encoding with Encryption for Image Steganography." National Cyber Summit 2020, Accepted.
- Dr. Heydari, “A New Security Framework for Remote Patient Monitoring Devices.” IEEE International Symposium on Networks, Computers and Communications (ISNCC 2020), Accepted.
- C. Qui, A. Sarker, and H. Shen, Connectivity Maintenance for Next-Generation Decentalized Vechile Platoon Networks, IEEE/ACM Transactions on Networking, accepted on March 5, 2020 [Impact Factor = 3.597]
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See below for: Recent Conferences, Workshops, and Publications from the Rowan Computer Science faculty (bolded).
