Assistant Professor, School of Computing I am an Assistant Professor in the Computer Science at The University of Georgia. I have completed my Ph.D. in Computer Science in 2018 from the University of Virginia under the supervision of Prof. Marty Humphrey. Education: PhD, Computer Science, University of Virginia, 2018 Research Research Interests: Current research interests are Cloud Computing, Large-Scale Distributed Systems, and Edge/IoT. More specifically; Systems research for cloud-scale machine learning/data science applications Deep learning at the Edge Edge computing for real-world IoT applications (e.g., Smart Home, Environmental Sensing, Transportation) Cloud function and serverless computing Selected Publications Selected Publications: Shivani Arbats, Vinod K. Jayakumar, Jaewoo Lee, Wei Wang, In Kee Kim, Wasserstein Adversarial Transformer for Cloud Workload Prediction, IAAI-22 (Oral Presentation), Accepted, 2022 Sen He, Tianyi Liu, Palden Lama, Jaewoo Lee, In Kee Kim, Wei Wang, A Performance Testing for Cloud Computing with Dependent Data Bootstrapping, IEEE/ACM ASE (Accepted), 2021 Piyush Subedis, Jianwei Haos, In Kee Kim, Lakshmish Ramaswamy, AI Multi-Tenancy on Edge: Concurrent Deep Learning Model Executions and Dynamic Model Placements on Edge Devices, IEEE CLOUD , 2021 Jianwei Hao*s, Ting Jiang*s, Wei Wang, In Kee Kim, An Empirical Analysis of VM Startup Times in Public IaaS Clouds, IEEE CLOUD, 2021, [Full Version] Omid Setayeshfar*, Karthika Subramani*, Xingzi Yuan, Raunak Dey, Dezhi Hong, Kyu Hyung Lee, In Kee Kim, ChatterHub: Privacy Invasion via Smart Home Hub, IEEE SMARTCOMP, 2021 Jianwei Haos, Piyush Subedis, In Kee Kim, Lakshmish Ramaswamy, Characterizing Resource Heterogeneity in Edge Devices for Deep Learning Inferences, ACM SNTA@HPDC, 2021 Vinodh K. Jayakumar, Jaewoo Lee, In Kee Kim, Wei Wang, A Self-Optimized Generic Workload Prediction Framework for Cloud Computing, IEEE IPDPS, 2020 In Kee Kim, Wei Wang, Yanjun Qi, Marty Humphrey, Forecasting Cloud Application Workloads with CloudInsight for Predictive Resource Management, IEEE Trans. on Cloud Computing (TCC), 2020 In Kee Kim, Jinho Hwang, Wei Wang, Marty Humphrey, Guaranteeing Performance SLAs of Cloud Applications under Resource Storms, IEEE Trans. on Cloud Computing (TCC), 2020 Lei Xians, Samuel Dakota Vickerss, Amanda L. Giordano, Jaewoo Lee, In Kee Kim, Lakshmish Ramaswamy, #selfharm on Instagram: Quantitative Analysis and Classification of Non-Suicidal Self-Injury, IEEE CogMI, 2019 In Kee Kim, Dongmei Yan, Brian Park, Jianhua Guo, Traffic Flow Insight: A Novel Online Ensemble Model for Short-Term Traffic Volume Prediction, TRB, 2019 Of note: I am always looking for motivated grad and undergrad students with a strong background/interest in cloud computing, computer and distributed systems, and IoT. If you are interested in working with me, please email me with your interest or stop by my office. We should talk! Personal Website: http://cobweb.cs.uga.edu/~kim/
