Kevin S. Xu
Department of Computer and Data Sciences
Case Western Reserve University
10900 Euclid Ave., Cleveland, OH 44106-7071, USA
I lead the Machine Learning and Network Science (MLNS) laboratory at Case Western Reserve University. Our research is primarily in the areas of machine learning and network science with applications to human dynamics, health care, education, and wearable computing.
Sept. 19: I am co-organizing the Second Symposium on Survival Prediction: Algorithms, Challenges & Applications (SPACA 2023) at the AAAI 2023 Fall Symposium Series. We are open for poster submissions. Please consider participating and submitting your work related to survival prediction and analysis!
Mar. 30: I will be giving a talk at the Institute for Mathematics and its Applications at the University of Minnesota on Tuesday, April 4. It will be livestreamed also on Zoom. Link to seminar
Aug. 16: I have joined Case Western Reserve University as an assistant professor in the Department of Computer and Data Sciences. I have several openings for both graduate and undergraduate research assistants interested in probabilistic machine learning or network science--please email me if you are interested!
Jul. 29: Congratulations to MS student Tanner Hilsabeck for successfully defending his MS thesis "A Hybrid Adjacency and Time-Based Data Structure for Analysis of Temporal Networks" and to MS student Hadeel Soliman for successfully defending her MS thesis "Community Hawkes Models for Continuous-time Networks"!
Jul. 8: Our paper "A hybrid adjacency and time-based data structure for analysis of temporal networks" has been published in Applied Network Science: https://appliednetsci.springeropen.com/articles/10.1007/s41109-022-00489-5 -- congratulations to MS student Tanner Hilsabeck and former MS student Makan Arastuie!
May 16: 2 papers accepted: "The Multivariate Community Hawkes Model for Dependent Relational Events in Continuous-time Networks" (ICML 2022: arXiv preprint) and "A Mutually Exciting Latent Space Hawkes Process Model for Continuous-time Networks" (UAI 2022: arXiv preprint). Congratulations to PhD student Zhipeng Huang and MS student Hadeel Soliman on their first publications since joining the IDEAS Lab!
May 7: I am serving as a tutorial chair for CIKM 2022. General areas of interest for tutorials include general areas include artificial intelligence, data science, databases, information retrieval, and knowledge management. Please feel free to contact me if you would like to discuss a tutorial proposal! Call for tutorials
Apr. 5: I have received the College of Engineering Award for Excellence in Supervision of Undergraduate Research. Thanks to all the wonderful undergraduate student researchers I've had the pleasure of advising!
Prediction of human performance and cognitive load levels for human-machine collaboration (supported by the Ohio Federal Research Network)
PhD, University of Michigan, Electrical Engineering: Systems, 2012, Advisor: Alfred O. Hero III
MSE, University of Michigan, Electrical Engineering: Systems, 2009
BASc, University of Waterloo, Honors Electrical Engineering, 2007
Honors and awards
University of Toledo College of Engineering Award for Excellence in Supervision of Undergraduate Research, 2022
NSF CAREER Award, 2021
NSF Computer and Information Science and Engineering (CISE) Research Initiation Initiative (CRII) Award, 2018
Exceptional Service Award, International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS), 2016
Winner, International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction Challenge (SBP), 2013
Postgraduate scholarship: Doctorate, Natural Sciences and Engineering Research Council of Canada (NSERC), 2010-2011
Postgraduate scholarship: Master’s, Natural Sciences and Engineering Research Council of Canada (NSERC), 2008
Case Western Reserve University (2022-present)
CSDS 340 Introduction to Machine Learning: Fall 2022-2023
CSDS 600 Special Topics – Machine Learning on Graphs: Spring 2023
University of Toledo (2015-2022)
EECS 1100 Digital Logic Design: Fall 2016-2021
EECS 1510 Introduction to Object-Oriented Programming: Fall 2015, Spring 2020
EECS 2510 Non-linear Data Structures: Spring 2021-2022
EECS 4750/5750 Machine Learning: Fall 2021, Fall 2016-2019
EECS 4980/5980 Special Topics – Social and Information Networks: Fall 2020, Spring 2020, Spring 2018
EECS 6980/8980 Special Topics – Probabilistic Methods in Data Science: Spring 2020-2021, Spring 2018
EECS 6980/8980 Special Topics – Social Network Analysis: Spring 2016
Selected service to research community
Software packages resulting from my research can be found at the GitHub page for the IDEAS Lab (my research lab at my former institution, the University of Toledo). Older software packages:
Dynamic stochastic block models MATLAB toolbox (now hosted on GitHub)
AFFECT MATLAB toolbox for clustering dynamic data (660 KB, last updated Feb. 28, 2014)
Regularized graph layout MATLAB toolbox for dynamic network visualization (24 KB, last updated Feb. 26, 2012)
Unsupervised motion artifact detection in wrist-measured electrodermal activity data: ISWC 2017 Slides
The block point process model for continuous-time event-based dynamic networks: JSM 2017 Slides
Stochastic block transition models for dynamic networks: AISTATS 2015 Slides
Apr. 23: Our paper "Leveraging Friendship Networks for Dynamic Link Prediction in Social Interaction Networks" has been accepted to ICWSM 2018. A preprint is available at https://arxiv.org/abs/1804.08584
Mar. 27: I have received the NSF CISE Research Initiation Initiative (CRII) award. Thank you to the NSF for supporting my research! Link to award abstract
Jan. 16: Updated dynamic stochastic block models MATLAB toolbox with implementations of the stochastic block transition model. The toolbox is now hosted on Github: Link to toolbox
Jan. 12: I will be teaching two special topics courses this semester: EECS 4980/5980 (Social and Information Networks) and EECS 6980/8980 (Probabilistic Methods in Data Science). Tentative list of topics
Oct. 3: Our recent research using physiological data collected from wearables to predict autonomic nervous system states is featured in the IEEE Xplore Innovation Spotlight.
Sept. 17: Presented our paper "Unsupervised motion artifact detection in wrist-measured electrodermal activity data" (co-authored with Yuning Zhang and Maysam Haghdan) at the International Symposium on Wearable Computers (ISWC) 2017: Preprint Slides
Aug. 18: One of the listed prerequisites for my course EECS 4750/5750 Machine Learning is out of date. Students interested in enrolling for Fall 2017 but unable to due to the prerequisite error can email me to obtain an override.
Jan. 31: Our paper "A Compressed Sensing Based Decomposition of Electrodermal Activity Signals" has been accepted to the IEEE Transactions on Biomedical Engineering. A preprint is available at https://arxiv.org/abs/1602.07754