I am currently an Assistant Professor in the Department of Computer Science at Texas State University, San Marcos, TX. Prior to that, I was an assistant professor in the Department of Computer Engineering and Sciences at the Florida Institute of Technology, Melbourne, FL, and a senior research engineer at Samsung Electronics DMC R&D Center (now Samsung Research), South Korea. I received my Ph.D. degree in Computer Engineering from North Carolina State University, Raleigh, NC.

My research interests are in network science, data science, networking, and networked/computing systems. My recent focus is on 

• Efficient algorithms and computational tools for graph mining and network analysis, 

• Modeling, analysis, and control of epidemic/information spreading, and 

• Machine learning for mobile and IoT applications. 

I am also interested in big data analytics acceleration, and modeling, analysis, and optimization of large-scale networked systems. 

Our research has been supported by the National Science Foundation, NVIDIA, SK Hynix America, Korea Institute of Energy Technology Evaluation and Planning, and Korea Meteorological Administration.

Teaching

• CS 4379E Introduction to Network Science

Selected and Recent Publications (Recent preprints and other papers can be found in DBLP or Google Scholar)

• Computational Storage for an Energy-Efficient Deep Neural Network Training System
  Shiju Li, Kevin Tang, Jin Lim, Chul-Ho Lee, Jongryool Kim
  International European Conference on Parallel and Distributed Computing (Euro-Par), 2023.
  Acceptance rate: 49/164 = 29.87%

• FIS-ONE: Floor Identification System with One Label for Crowdsourced RF Signals
  Weipeng Zhuo, Ka Ho Chiu, Jierun Chen, Ziqi Zhao, S.-H. Gary Chan, Sangtae Ha, Chul-Ho Lee
  IEEE International Conference on Distributed Computing Systems (ICDCS), 2023.
  Acceptance rate: 83/439 = 18.9%
  [arXiv preprint]

• Controlling Epidemic Spread Under Immunization Delay Constraints
  Shiju Li, Xin Huang, Chul-Ho Lee, Do Young Eun
  IFIP International Conference on Networking (Networking), 2023.
  Acceptance rate: 53/190 = 27.89%
  [arXiv preprint]

• Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks
  Jierun Chen, Shiu-hong Kao, Hao He, Weipeng Zhuo, Song Wen, Chul-Ho Lee, S.-H. Gary Chan
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
  Acceptance rate: 2360/9155 = 25.78%
  [arXiv preprint]

• Semi-supervised Learning with Network Embedding on Ambient RF Signals for Geofencing Services
  Weipeng Zhuo, Ka Ho Chiu, Jierun Chen, Jiajie Tan, Edmund Sumpena, S.-H. Gary Chan, Sangtae Ha, Chul-Ho Lee
  IEEE International Conference on Data Engineering (ICDE), 2023.
  [arXiv preprint]

• Characterizing the Efficiency of Graph Neural Network Frameworks with a Magnifying Glass
  Xin Huang, Jongryool Kim, Brad Rees, Chul-Ho Lee
  IEEE International Symposium on Workload Characterization (IISWC), 2022.
  [arXiv preprint]

• GRAFICS: Graph Embedding-based Floor Identification Using Crowdsourced RF Signals
  Weipeng Zhuo, Ziqi Zhao, Ka Ho Chiu, Shiju Li, Sangtae Ha, Chul-Ho Lee, S.-H. Gary Chan
  IEEE International Conference on Distributed Computing Systems (ICDCS), 2022.
  Acceptance rate: 114/573 = 19.9%
  [arXiv preprint]

• An Efficient and Scalable Algorithm for Estimating Kemeny's Constant of a Markov Chain on Large Graphs
  Shiju Li*, Xin Huang*, Chul-Ho Lee
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2021.
  Acceptance rate: 238/1541 = 15.44%;  *Equal contribution
  [PDF]

• Estimating Distributions of Large Graphs from Incomplete Sampled Data
  Shiju Li, Xin Huang, Chul-Ho Lee
  IFIP International Conference on Networking (Networking), 2021.
  Acceptance rate: 41/158 = 25.9%
  [Technical Report]

• Trapping Malicious Crawlers in Social Networks
  Shiju Li, Chul-Ho Lee, Do Young Eun
  ACM International Conference on Information and Knowledge Management (CIKM), 2020.
  Acceptance rate: 193/920 = 20.97%
  [Technical Report]

• CrowdQuake: A Networked System of Low-Cost Sensors for Earthquake Detection via Deep Learning
  Xin Huang*, Jangsoo Lee*, Young-Woo Kwon, Chul-Ho Lee
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2020.
  Acceptance rate: 121/756 = 16%;  *Equal contribution
  [PDF]

• Transient Dynamics of Epidemic Spreading and Its Mitigation on Large Networks
  Chul-Ho Lee, Srinivas Tenneti, Do Young Eun
  ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), 2019.
  Acceptance rate: 37/156 = 23.71%;  Best Paper Award Finalist
  [arXiv preprint]

• Non-Markovian Monte Carlo on Directed Graphs
  Chul-Ho Lee, Min Kang, Do Young Eun
  Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS), Vol. 3, No. 1, Article 15, March 2019;
  ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS), 2019.
  Acceptance rate: 50/317 = 15.77%
  [arXiv preprint]

• On the Rao-Blackwellization and Its Application for Graph Sampling via Neighborhood Exploration
  Chul-Ho Lee, Xin Xu, Do Young Eun
  IEEE International Conference on Computer Communications (INFOCOM), 2017.
  Acceptance rate: 292/1395 = 20.93%
  [Technical Report]

• Challenging the Limits: Sampling Online Social Networks with Cost Constraints
  Xin Xu, Chul-Ho Lee, Do Young Eun
  IEEE International Conference on Computer Communications (INFOCOM), 2017.
  Acceptance rate: 292/1395 = 20.93%
  [Technical Report]

• A High-Order Markov-Chain-Based Scheduling Algorithm for Low Delay in CSMA Networks
  Jaewook Kwak, Chul-Ho Lee, Do Young Eun
  IEEE/ACM Transactions on Networking (ToN), Vol. 24, No. 4, pp. 2278-2290, Aug. 2016.

• Towards Distributed Optimal Movement Strategy for Data Gathering in Wireless Sensor Networks
  Chul-Ho Lee, Jaewook Kwak, Do Young Eun
  IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol. 27, No. 2, pp. 574-584, Feb. 2016.

• Exploiting Heterogeneity for Improving Forwarding Performance in Mobile Opportunistic Networks: An Analytic Approach
  Chul-Ho Lee, Do Young Eun
  IEEE Transactions on Mobile Computing (TMC), Vol. 15, No. 1, pp. 150-162, Jan. 2016.

• On the Efficiency-Optimal Markov Chains for Distributed Networking Applications
  Chul-Ho Lee, Do Young Eun
  IEEE International Conference on Computer Communications (INFOCOM), 2015.
  Acceptance rate: 316/1640 = 19.3%

• A High-order Markov Chain Based Scheduling Algorithm for Low Delay in CSMA Networks
  Jaewook Kwak, Chul-Ho Lee, Do Young Eun
  IEEE International Conference on Computer Communications (INFOCOM), 2014.
  Acceptance rate: 320/1645 = 19.45%

• A General Framework of Hybrid Graph Sampling for Complex Network Analysis
  Xin Xu, Chul-Ho Lee, Do Young Eun
  IEEE International Conference on Computer Communications (INFOCOM), 2014.
  Acceptance rate: 320/1645 = 19.45%

• On the Forwarding Performance under Heterogeneous Contact Dynamics in Mobile Opportunistic Networks
  Chul-Ho Lee, Do Young Eun
  IEEE Transactions on Mobile Computing (TMC), Vol. 12, No. 6, pp. 1107-1119, June 2013.

• Exploiting the Past to Reduce Delay in CSMA Scheduling: A High-order Markov Chain Approach (Extended Abstract)
  Jaewook Kwak, Chul-Ho Lee, Do Young Eun
  ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS), 2013.
  Acceptance rate: (26+28)/196 = 27.55%
  [arXiv preprint]

• Characterizing Link Connectivity for Opportunistic Mobile Networking: Does Mobility Suffice?
  Chul-Ho Lee, Jaewook Kwak, Do Young Eun
  IEEE International Conference on Computer Communications (INFOCOM), 2013.
  Acceptance rate: 280/1613 = 17.35%

• From Glauber Dynamics to Metropolis Algorithm: Smaller Delay in Optimal CSMA
  Chul-Ho Lee, Do Young Eun, Se-Young Yun, Yung Yi
  IEEE International Symposium on Information Theory (ISIT), 2012.

• Beyond Random Walk and Metropolis-Hastings Samplers: Why You Should Not Backtrack for Unbiased Graph Sampling
  Chul-Ho Lee, Xin Xu, Do Young Eun
  ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS), 2012.
  Acceptance rate: 31/203 = 15.27%
  [arXiv preprint]

• Toward Distributed Optimal Movement Strategy for Data Harvesting in Wireless Sensor Networks
  Chul-Ho Lee, Do Young Eun
  IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON), 2012.
  Acceptance rate: 19.4%

• Smart Sleep: Sleep More to Reduce Delay in Duty-Cycled Wireless Sensor Networks
  Chul-Ho Lee, Do Young Eun
  IEEE International Conference on Computer Communications (INFOCOM), 2011.
  Acceptance rate: (291+136)/1823 = 23.42% 

• Exploiting Heterogeneity in Mobile Opportunistic Networks: An Analytic Approach
  Chul-Ho Lee, Do Young Eun
  IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON), 2010.
  Acceptance rate: 21%

• Super-diffusive Behavior of Mobile Nodes and Its Impact on Routing Protocol Performance
  Sungwon Kim, Chul-Ho Lee, Do Young Eun
  IEEE Transactions on Mobile Computing (TMC), Vol. 9, No. 2, pp. 288-304, Feb. 2010.

• Heterogeneity in Contact Dynamics: Helpful or Harmful to Forwarding Algorithms in DTNs?
  Chul-Ho Lee, Do Young Eun
  International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), 2009.

US Patents Granted

• Patent #11252595 "Device and method for receiving streaming service data in mobile communication system supporting plurality of radio access interfaces"

• Patent #11159594 "Streaming service data receiving device and method in mobile communication system for supporting plurality of radio access interfaces"

• Patent #10785713 "Device and method for accessing multiple networks in wireless communication system"

• Patent #10728792 "Device and method for receiving streaming service data in mobile communication system supporting plurality of radio access interfaces"

• Patent #10356000 "Apparatus and method for uploading data in mobile communication system supporting a plurality of radio access interfaces"

• Patent #10111171 "Method and apparatus for HTTP adaptive streaming in wireless network environment"

• Patent #10057147 "Apparatus and method for controlling data flow in communication system"

• Patent #9949208 "Method and apparatus for selecting power preference information in a wireless communication system network"

• Patent #9913280 "Method and apparatus of allocating resources for terminal in wireless communication system"

Awards and Recognition

• TXST CADS Innovation Seed Award, 2024

• NVIDIA Applied Research Accelerator Award, 2022

• NVIDIA GPU Grant Award, 2020

• ACM MobiHoc 2019 Best Paper Award Finalist, 2019

• Distinguished TPC Member of IEEE INFOCOM 2018, 2019, 2020, 2021, 2022, 2023

• Florida Tech ACITC Minigrant Award, 2018

• ACM SIGMETRICS 2012 Student Travel Grant Award, 2012

• IEEE SECON 2012 Student Travel Grant Award, 2012

• IEEE ICC 2011 Student Travel Grant Award, 2011

Current Graduate Students

• Xin Huang (PhD)

• Phu Vuong (PhD)

• Joseph Nke (PhD)

• Bao Vo (PhD)

• Garrett Cornett (MS)

Other Students

• Weipeng "Steve" Zhuo (PhD student, The Hong Kong University of Science and Technology)

Former Students

• Shiju Li, Ph.D., May 2022 (First employment: SOLAB, SK Hynix America)

  • Dissertation: Efficient and Scalable Algorithms for Estimating Structural Properties of Large Graphs

• Joseph Nke, B.S./M.S., Dec. 2020

• James Bologna, M.S., May 2019

• Ebipamo Osaisai, M.S., May 2019

• McNels Sylvestre Philippe Auguste, B.S., May 2019

• Prosper Mapfeka, B.S., May 2018

Visiting Scholars/Students

• Prof. Jaesung Jung, Ajou University

• Aming Wu, Kyungpook National University

Professional Activities

Journal Editorial Board

• Associate Editor, IEEE Transactions on Network Science and Engineering, 2023 – Present

• Guest Associate Editor, Frontiers in Energy Research – Smart Grids, 2022

• Technical Committee Member, Elsevier Computer Communications, 2015 – Present

Conference Organizing Committee

• Track Co-Chair, Algorithms & Theory Track, IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS), 2024

• Publication Chair, IEEE/IFIP International Symposium on Modeling and Optimization in Mobile, Ad-Hoc and Wireless Networks (WiOpt), 2023

• Finance Chair, IEEE International Symposium on Workload Characterization (IISWC), 2022 

Conference Technical Program Committee

• IEEE Conference on Computer Communications (INFOCOM), 2017 – 2024

• ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2022 – 2024

• IEEE International Conference on Data Mining (ICDM), 2022 – 2023

• SIAM International Conference on Data Mining (SDM), 2022 – 2024

• Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2024

• ACM International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc), 2019 – 2024

• IEEE/IFIP International Symposium on Modeling and Optimization in Mobile, Ad-Hoc and Wireless Networks (WiOpt), 2018 – 2023

• ACM International Workshop on System and Network Telemetry and Analytics (SNTA), 2020 – 2024

• IEEE International Conference on Sensing, Communication and Networking (SECON), 2016

• IEEE/IFIP International Conference on Mobile Software Engineering and Systems (MOBILESoft) – Visions Track, 2019

• IEEE/IFIP International Conference on Mobile Software Engineering and Systems (MOBILESoft) – ACM Student Research Competition, 2015 – 2017

• ACM International Workshop on Foundations of Mobile Computing (FOMC), 2014