Back to Faculty
Department
Computer Science
College
Arts & Sciences
Start Year at LSUS
2022
Terminal Degree/Yr
PhD/2021
Office Location
TC 214
(318) 795-4281
Curriculum Vitae

Biography

Zhonghui John Wang is an Assistant Professor in the Department of Computer Science at Louisiana State University Shreveport (LSUS). He received his Ph.D. and M.Eng. degrees in Computer Science and Information from the University of Mississippi and holds a B.Ed. in Exercise Science from Harbin Sport University.

Dr. Wang’s research spans artificial intelligence, machine learning, data mining, wireless sensor networks, Internet of Things (IoT), and health data analytics. His recent research focuses particularly on applying machine learning and data science to population health and human-performance data, including the prediction and analysis of obesity, diabetes, cardiovascular disease, depression, physical activity, and physical fitness. His interdisciplinary background in computer science and exercise science supports his growing research program at the intersection of artificial intelligence, health, and human performance.

His research has appeared in peer-reviewed journals and international conferences, including BMC Public Health, European Journal of Sport Sciences, IEEE/ACIS SERA, IETC, IEEE SoutheastCon, ACM Southeast Conference, and IEEE ICNC. His recent work includes machine-learning approaches to BMI classification, NHANES-based analyses of chronic disease and mental health, physical activity and obesity research, and wireless visual sensor network deployment and scheduling.

Dr. Wang is also actively involved in undergraduate and graduate education and student research mentoring. His teaching areas include computer networks, network security, operating systems, rapid application development, programming, and database systems. He received the Outstanding Faculty Award in Teaching from Louisiana State University Shreveport in 2025.

Degrees

Research Interests

Wireless visual sensor networks, internet of things, wireless sensor network, cloud computing, big data, distributed computing and AI.

Selected Publications

Conference Papers

  1. Nahar, Sharmin, Md Mashfiquer Rahman, Kailash Dhakal, Md Mostafijur Rahman, Zhonghui John Wang, and Subhajit Chakrabarty. "Depression Severity Using NHANES Data." In 2026 IEEE/ACIS 24th International Conference on Software Engineering Research, Management and Applications (SERA), pp. 386-391. IEEE, 2026.
  2. Z. Wang, F. Wang, K. Sabahein, On WVSN Depolyment and Scheduling for 3D Indoor Monitoring: A Cross-Layer Design Approach. In ICNC 25, pp. 763-767, USA, February 2025
  3. S. Nahar, Z. Wang, X. Jin, S. Chakrabarty, Leveraging Selected Lifestyle Factors from NHANES Data for Chronic Heart Disease Risk Prediction. The paper has been accepted by IETC 2025, USA, April, 2025.
  4. K. Sabahein, Z. Wang, F. Wang, “An Actor-Critic Approach for Resource Allocation in Energy Harvesting-Powered Wireless Body Area Network”. In ICNC 24, USA, February 2024
  5. Z. Wang, F. Wang, T. Brown, J. Xue and J. Zhang, “Traffic Aware Wireless Visual Sensor Network   Deployment for 3D Indoor Monitoring,”. In IEEE ICC, pp. 1-6, China, May 2019.
  6. Z. Wang, F. Wang, “Wireless Visual Sensor Networks: Applications, Challenges, and Recent Advances,” In IEEE SoutheastCon, 8 pages, Huntsville AL, USA, April 2019.
  7. T. Brown, Z. Wang, T. Shan, F. Wang, and J. Xue, “Obstacle-Aware Wireless Video Sensor Network Deployment for 3D Indoor Monitoring,”. In IEEE GLOBECOM, pp. 1-6, Singapore, December, 2017
  8. Brown, T., Wang, Z., Shan, T., Wang, F., & Xue, J. (2017, April). Obstacle and connectivity aware wireless video sensor deployment for 3d indoor monitoring. In Proceedings of the Second International Conference on Internet-of-Things Design and Implementation (pp. 305-306).
  9. Z. Wang, T. Brown, T. Shan, F. Wang, and J. Xue, “On 2-Angular-Coverage in Wireless Visual Sensor Network Deployment for 3D Indoor Monitoring,”. In ACM SouthEast Conference, pp. 145-148, Kennesaw GA, USA, April 2017
  10. T. Brown, Z. Wang, T. Shan, F. Wang, and J. Xue, “On wireless video sensor network deployment for 3D indoor space coverage,”. In IEEE SoutheastCon, pp. 1-8, Norfolk VA, USA, March 2016.

Journal Papers

  1. Jin, X., Wang, Z., Zhao, X., Wen, Y., & Qin, C. (2026). Predicting Body mass index classification from physical fitness indicators using machine learning in South Chinese college students from 2013 to 2025. BMC Public Health.
  2. Wang, Z., Jin, X., Zhao, Q., Wang, F., & Sabahein, K. (2025). On WVSN deployment, load balancing and scheduling for 3D indoor monitoring: A cross-layer design approach. Ad Hoc Networks, 104024.
  3. Jin, X., Wang, Z., & Rush-Kolodzey, J. (2025). Effect of Physical Activity on Obesity in Older American Adults over Fourteen Years. European Journal of Sport Sciences, 4(5), 1-9.
  4. Jin, X., Wang, Z., & Loftin, M. (2024). Assessment and Prediction of Energy Expenditure: One-Mile Walks and Runs Among African American. European Journal of Sport Sciences, 3(1), 16-22, 2024.
  5. J. Zhang, J. Tang, Z. Wang, F. Wang and G. Yu, "Load-Balancing Rendezvous Approach for Mobility-Enabled Adaptive Energy-Efficient Data Collection in WSNs," KSII Transactions on Internet and Information Systems, vol. 14, no. 3, pp. 1204-1227, 2020.

Posters

  1. Gabrielle Foster, Xi Jin, Jill Rush-Kolodzey, Qingsong Zhao, Zhonghui Wang. "Comparing AI and Traditional Approaches to Identify Lifestyle Contributors to Obesity in Older Adults" Poster at the annual meeting of the American College of Sports Medicine, May, 2026.
  2. S. Nahar, Z. Wang, X. Jin, S. Chakrabarty, Empowering Early Diagnosis of Chronic Heart Disease with Machine Learning and Lifestyle Analysis. Poster at the 10th LSUS Regional Student Scholars Forum, April, 2025.
  3. T. Anondi, Z. Wang, X. Jin, The Role of Physical Activity In Obesity Prediction: Insights From Machine Learning Models. Poster at the annual meeting of the American College of Sports Medicine, May, 2025.
  4. X. Jin, J. Rush, Q. Zhao, Z. Wang, Using Oaxaca-Blinder Decomposition to Asses the Role of Lifestyle Behaviors in Obesity Increase. Poster at the annual meeting of the American College of Sports Medicine, May, 2025.
  5. X. Jin, J. Rush, Z. Wang, The Effect of Physical Activity on Obesity among Older Adults: Findings from NHANES 2005-2018. Poster at the annual meeting of the American College of Sports Medicine, May, 2024.
  6. Qin, C., Jin, X., Wang, Z., & Wen, Y. The Secular Trend On Fitness Parameter in Chinese Male College Students from 2013 To 2021. ePoster at the annual meeting of the American College of Sports Medicine, May, 2023.
  7. Z. Wang, F. Wang, T. Brown, and J. Xue, “Traffic Aware Wireless Visual Sensor Network   Deployment for 3D Indoor Monitoring,” NSF Broadband Wireless Access and Applications Center (BWAC) Workshop, Oxford, MS, April 2018
  8. F. Wang, D. Wang, J. Liu and Z. Wang, “Wireless Sensor Data Collection for High-Rise Structure Health Monitoring: Design, Optimization, and Case Study”, Infrastructure Objective Resilience Workshop, University, MS, March 2018.
  9. T. Brown, Z. Wang, T. Shan, F. Wang and J. Xue, “Poster Abstract: Obstacle and Connectivity Aware Wireless Video Sensor Deployment for 3D Indoor Monitoring,” ACM/IEEE IoTDI, Pittsburgh, PA, April 2017.
  10. T. Brown, Z. Wang, T. Shan, F. Wang and J. Xue, “Obstacle-Aware Wireless Video Sensor Network Deployment for 3D Indoor Space Monitoring,” NSF Broadband Wireless Access and Applications Center (BWAC) Workshop, Tucson, AZ, March 2016.
  11. T. Brown, Z. Wang, T. Shan, F. Wang and J. Xue, “On Wireless Video Sensor Network Deployment for 3D Indoor Space Coverage,” NSF Broadband Wireless Access and Applications Center (BWAC) Workshop, University, MS, November 2015.

Teaching Assignments

  • Lecture on Intro. Programming (CSC120)
  • Lecture on Intro. Object-Oriented Programming (CSC145)
  • Lecture on Intro. Networking I (CSC151)
  • Lecture on Intro. Networking II (CSC152)
  • Lecture on Computer Networks (CSC430/630)
  • Lecture on Rapid Application Development (CSC460/660)
  • Lecture on Operating Systems (CSC490/690)
  • Lecture on Network & Computer Security (CSC438/638)