Christopher G. Brinton, PhD

For an exhaustive list of publications, see my CV.

Books

• C. Brinton, M. Chiang. The Power of Networks: Six Principles That Connect Our Lives. Princeton University Press, Dec. 2016.
• C. Brinton, M. Chiang. Networks Illustrated: 8 Principles Without Calculus. EdWiser Scholastic Press, June 2013.

Representative Journal Papers

• M. Lee, S. Hosseinalipour, C. Brinton, G. Yu, H. Dai. A Fast Graph Neural Network-Based Method for Winner Determination in Multi-Unit Combinatorial Auctions. IEEE Transactions on Could Computing, 2021.
• H. Nguyen, V. Sehwag, S. Hosseinalipour, C. Brinton, M. Chiang, H.V. Poor. Fast-Convergent Federated Learning. IEEE Journal on Selected Areas in Communications, Vol. 39, No. 1, 2021.
• S. Hosseinalipour, C. Brinton, V. Aggarwal, H. Dai, M. Chiang. From Federated to Fog Learning: Distributed Machine Learning over Heterogeneous Wireless Networks. IEEE Communications Magazine, Vol. 58, No. 12, 2020.
• S. Liu, C. Joe-Wong, J. Chen, C. Brinton, C. Tan, L. Zheng. Economic Viability of a Virtual ISP. IEEE/ACM Transactions on Networking, Vol. 28, No. 2, 2020.
• W. Chen, C. Brinton, D. Cao, A. Mason-Singh, C. Lu, M. Chiang. Early Detection Prediction of Learning Outcomes in Online Short-Courses via Learning Behaviors. IEEE Transactions on Learning Technologies, Vol. 12, No. 1, 2019.
• C. Brinton, S. Buccapatnam, L. Zheng, D. Cao, A. Lan, F. Wong, S. Ha, M. Chiang, H.V. Poor. On the Efficiency of Online Social Learning Networks. IEEE/ACM Transactions on Networking, Vol. 26, No. 5, 2018.
• T. Yang, C. Brinton, C. Joe-Wong, M. Chiang. Behavior-Based Grade Prediction for MOOCs via Time Series Neural Networks. IEEE Journal of Selected Topics in Signal Processing, Vol. 11, No. 5, Aug. 2017.
• C. Brinton, S. Buccapatnam, M. Chiang, H.V. Poor. Mining MOOC Clickstreams: Video Watching Behavior versus In-Video Quiz Performance. IEEE Transactions on Signal Processing, Vol. 64, No. 14, Jul. 2016.
• C. Brinton, M. Chiang, S. Jain, H. Lam, Z. Liu, F. Wong. Learning about social learning in MOOCs: From statistical analysis to generative model. IEEE Transactions on Learning Technologies, Vol. 7, No. 4, Oct. 2014.
• K. Reichmann, P. Iannone, C. Brinton, et al. A Symmetric-Rate, Extended-Reach 40Gb/s CWDM-TDM PON with Downstream and Upstream SOA-Raman Amplification. IEEE Journal of Lightwave Technology, Vol. 30, No. 4, Feb. 2012.

Recent Conference Papers

• R. Sahay, C. Brinton, D. Love. Frequency-based Automated Modulation Classification in the Presence of Adversaries. IEEE Conference on Communications (ICC), 2021.
• M. Oh, S. Hosseinalipour, T. Kim, C. Brinton, D. Love. Channel Estimation via Successive Denoising in MIMO OFDM Systems: A Reinforcement Learning Approach. IEEE Conference on Communications (ICC), 2021.
• S. Wang, M. Lee, S. Hosseinalipour, R. Morabito, M. Chiang, C. Brinton. Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation. IEEE Conference on Computer Communications (INFOCOM), 2021.
• F. Lin, C. Brinton, N. Michelusi. Federated Learning with Communication Delay in Edge Networks. IEEE Global Communications Conference (Globecom), Dec. 2020.
• Y. Tu, Y. Ruan, S. Wagle, C. Brinton, C. Joe-Wong. Network-Aware Optimization of Distributed Learning for Fog Computing. IEEE Conference on Computer Communications (INFOCOM), May. 2020.
• J. Kim, T. Kim, M. Hashemi, C. Brinton, D. Love. Joint Optimization of Signal Design and Resource Allocation in Wireless D2D Edge Computing. IEEE Conference on Computer Communications (INFOCOM), May. 2020.
• P. Hansen, R. Bustamante, T. Yang, E. Tenorio, C. Brinton, M. Chiang, A. Lan. Predicting the Timing and Quality of Responses in Online Discussion Forums. IEEE International Conference on Distributed Computing Systems (ICDCS), Jul. 2019.
• T. Yang, C. Brinton, P. Mittal, M. Chiang, A. Lan. Learning Informative and Private Representations via Generative Adversarial Networks. IEEE International Conference on Big Data, Dec. 2018.
• A. Lan, J. Spencer, Z. Chen, C. Brinton, M. Chiang. Personalized Thread Recommendation for MOOC Discussion Forums. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), Sept. 2018.
• W. Chen, C. Joe-Wong, C. Brinton, L. Zheng, D. Cao. Principles for Assessing Adaptive Online Courses. International Conference on Educational Data Mining (EDM), Jul. 2018.
• T. Yang, C. Brinton, C. Joe-Wong. Predicting Learner Interactions in Social Learning Networks. IEEE Conference on Computer Communications (INFOCOM), Apr. 2018.

Patents

• C. Brinton, W. Chen, M. Chiang, S. Ha, R. Rill. System and Method for Automated Course Individualization via Learning Behaviors and Natural Language Processing. U.S. Patent #10,339,822. Issued Jul 2019.
• C. Brinton, M. Chiang, S. Ha, W. Ju, R. Rill, J. Walker. Systems and Methods to Assist an Instructor of a Course. U.S. Patent #14/712,108. Filed May 2015.