Professor
Royce E. Wisenbaker Professorship I
Director, Texas A&M Institute of Data Science
Department of Electrical and Computer Engineering
Texas A&M University
I am a Professor in the Department of Electrical and Computer Engineering at Texas A&M University, holder of the Royce E. Wisenbaker Professorship I, and Director of the Texas A&M Institute of Data Science. My research combines the foundations and applications of data science and computer networking, currently graph stream sampling, network measurement and resilience, and applications of data science to transportation and hydrology. I am an ACM Fellow, IEEE Fellow, AT&T Fellow and IET Fellow, and was a co-recipient of the ACM Sigmetrics Test of Time Award in both 2012 and 2013 for work in Network Tomography.
Further information about my work
- Personal webpage including publications, patents, standards, funding, awards
- Google Scholar (H-index 69 from over 18,000 citations)
- DBLP; MathSciNet; arXiv; US Patent and Trademark Office
Recent news
- Sep 2002: Paper: Rapid Damage Estimation of Texas Winter Storm Uri from Social Media Using Deep Neural Networks, appeared in Urban Science
- Jul 2022: Paper: Hashing Design in Modern Networks: Challenges and Mitigation Techniques, appeared in Usenix ATC
- Jun 2022: Talk: Keynote at ACM Sigmetrics / IFIP Performance 2022
- Jun 2022: Paper: Multiscale Energy Network Tomography, to appear in IFIP Networking
- May 2022 Paper: Revealing the linguistic and geographical disparities of public awareness to Covid-19 outbreak through social media, appeared in International Journal of Digital Earth
- Feb 2022: THECB Award: Texas A&M University System Consortium for Graduate Data Science Credentialing
- Jan 2022: Paper: MoReL: Multi-omics Relational Learning, accepted to ICLR 2022.
- Jan 2022: Paper: Visual Recognition for Urban Traffic Data Retrieval and Analysis in Major Events Using Convolutional Neural Networks, appeared in Computational Urban Science
- Dec 2021: Paper: SmartWatch: Accurate Traffic Analysis and Flow-state Tracking for Intrusion Prevention using SmartNICs, appeared in CoNext 2021
- Nov 2021: Paper: A time-series clustering algorithm for analyzing the changes of mobility pattern caused by COVID-19, appeared at HANIMOB ’21: Proc. 1st ACM SIGSPATIAL International Workshop on Animal Movement Ecology and Human Mobility
- Nov 2021: Paper: Mentoring in Artificial Intelligence and Materials Science: Applying a New Doctoral Model, appeared in The Chronicle of Mentoring and Coaching,
- Oct 2021: Preprint: Revealing the Global Linguistic and Geographical Disparities of Public Awareness to Covid-19 Outbreak through Social Media
- Sep 2021: NIH Award: Maximizing Student Development in Data and Information Science-Related Disciplines for Biomedical PhD Trainees
- Sep 2021: NIST Award: Creating a Shared Public Safety Radio Data Set for Sharing and Analysis, National Institute of Standards and Technology
- Sep 2021: TWRI Award: Development of an Unmanned Aerial System (UAS)-based System to Improve Water Use Efficiency of Cotton by Monitoring Crop Water Use and Biomass Accumulation
- Aug 2021:Congratulations to Yixiao Feng on his PhD graduation, and best wished for success at Facebook!
- Aug 2021: Microsoft Award under AI for Humanitarian Action Program
- Jun 2021: Paper: Online Sampling of Temporal Networks appeared in ACM Trans. Knowl. Discov. Data
- Sep 2020: Paper: Adaptive Shrinkage Estimation for Streaming Graphs, accepted to NeurIPS 2020
- Sep 2020: Paper: BayReL: Bayesian Relational Learning for Multi-omics Data Integration, accepted to NeurIPS 2020
- Aug 2020: Paper: Context-aware Deep Representation Learning for Geo-spatiotemporal Analysis, accepted to ICDM 2020
- Jul 2020: Paper: A SmartNIC-Accelerated Monitoring Platform for In-band Network Telemetry, appeared at IEEE LANMAN 2020
- Jul 2020: Online Workshop: AI Applications to Agriculture
- Jun 2020: PhD student Yixiao Feng interned at Facebook
- Jun 2020: Congratulations to Mahmood Ettehad on passing his PhD thesis exam!
- Jun 2020: Congratulations to Ruihong Wang on passing his MS thesis exam!
- May 2020: Paper: Bayesian Graph Neural Networks with Adaptive Connection Sampling, accepted to ICML 2020
- May 2020: Congratulations to Hanzi Mao on passing her PhD thesis exam!
- May 2020: Congratulations to Yunhong Xu on her PhD graduation!
- Mar 2020: Paper: Near-Optimal Disjoint-Path Facility Location Through Set Cover by Pairs, appeared in Operations Research
- Jan. 2020: Paper, Semi-Implicit Stochastic Recurrent Neural Networks, accepted to ICASSP 2020
- Oct. 2019: Preprint: Temporal Network Sampling
- Sept..2019: NSF Award: HDR Tripods: Texas A&M Research Institute for Foundations of Interdisciplinary Data Science (FIDS)
- Sept..2019: Paper: Variational Graph Recurrent Neural Networks accepted to NeurIPS
- Sept..2019: Paper: Semi-Implicit Graph Variational Auto-Encoders accepted to NeurIPS
- Aug. 2019: NSF Award: Planning Grant: Engineering Research Center for AI in Construction (AI-Con)
- Aug. 2019: Preprint: Optimizing Consistent Merging and Pruning of Subgraphs in Network Tomography
- Aug. 2019: Preprint: Network Shrinkage Estimation
- July 2019: NSF Award CC* Team SWEETER for regional expertise in computational and data sciences
- July 2019: Texas A&M Data Science Bootcamp announced for August 2019
- July 2019: HDR-Nets2019, Workshop on Harnessing the Data Revolution in Networking at ICNP’19
- July 2019: Paper: Near-Optimal Disjoint-Path Facility Location Through Set Cover by Pairs, accepted to Operations Research
- July 2019: Paper: Gap Filling of High-Resolution Soil Moisture accepted to Water Resources Research
- June 2019: Completion of ACM Sigmetrics / IFIP Performance 2019 as TPC Co-Chair. Thanks to all authors, TPC members and organizers!
- June 2019: Paper: Micro- and Macro-Level Churn Analysis of Large-Scale Mobile Games accepted to KAIS
- June 2019: Preprint: Piecewise Stationary Modeling of Random Processes Over Graphs With an Application to Traffic Prediction
- April 2019: TAMIDS Workshop on Data Science/AI/ML in Education
- March 2019: Paper: Real-Time Streaming Graph Embedding Through Local Actions accepted to DL4G-SDE
- Feb. 2019: TAMIDS Workshop on Operational Data Science
- Feb. 2019: Patent: 10,192,547: System and method for customized voice response
- Jan. 2019: Venturebeat news item on our ICDM paper on churn prediction for mobile games
- Oct. 2018: Announced as Director of Texas A&M Institute of Data Science
- Sept. 2018: NSF Grant 1808551 Awarded: Real-Time Learning-Mediated Control for Traffic Shaping
- Aug. 2018: Paper: A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games accepted for ICDM 2018
- Aug. 2018: New Grant Awarded: Advanced Traffic Analysis For Network Virtualization
- Aug. 2018: NSF Grant 1848596 Awarded: Adaptive Sampling of Massive Graph Streams
- Aug. 2018: PhD student Yixiao Feng completes his internship at Regeneron Pharmaceuticals
- July 2018: Research Visit to Mathematical Institute, Oxford, UK
- April 2018: Paper: Sampling for Approximate Bipartite Network Projection accepted to IJCAI-ECAI-2018
- April 2018: TPC Co-Chair for ACM Sigmetrics / Performance 2019
- April 2018: TPC for IEEE BigData 2018
- April 2018: Preprint: Graph Reconstruction from Path Correlation Data
- April 2018: PhD student Hanzi Mao will intern this summer at Pinterest