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Jinwei Liu

ASSISTANT PROFESSOR
EMAIL
PHONE
850-412-6647
OFFICE
Computer & Information Systems

Office Hours

Commons, G135

Wednesday: 11:30 a.m. - 1:30 p.m.
Friday: 12:00 p.m. - 2:00 p.m.
Other times possible by appointment

Current Semester Schedule

COP 3710 DATABASE MGMT SYSTEM • Mon. 5:00 p.m. - 7:30 p.m.
COT 3100 DISCRETE STRUC I • Tu. Th. 3:30 p.m. - 4:45 p.m.
COT 4210 FOUND COMP SCIENCE • Tu. Th. 8:00 a.m. - 9:15 a.m.
CIS 5970 THESIS • Tu. 11:00 a.m. - 12:15 p.m.

About Me

Jinwei Liu (Member, IEEE) received the Ph.D. degree in computer engineering from Clemson University, USA, and the M.S. degree in computer science from Clemson University and the University of Science and Technology of China, China. He has worked with the University of Virginia and University of Central Florida. He is an Assistant Professor with the Department of Computer and Information Sciences, Florida A&M University (FAMU), USA. He was recognized for outstanding achievement in academic publications. He was awarded a 2021-2022 FRAP (Faculty Research Awards Program) grant at FAMU. He was the recipient of the 2022-2023 Emerging Research in STEM Award at FAMU. He has received awards from U.S. NSF, Cyber Florida, etc. His research interests include cloud computing and storage, AI/ML, cybersecurity, healthcare, network science, big data, etc. He has published numerous conference papers and journal articles, and his work appears in top-tier journals/conferences, including IEEE/ACM TON, IEEE TMC, IEEE TPDS, NPJ Digital Medicine, IEEE TC, IEEE TSC, IEEE INFOCOM, etc. He was the Program (Co-)Chair of a number of international conferences and a member of the Program Committees of many international conferences (e.g., IEEE/ACM CCGRID, IEEE ICC, IEEE ICCCN, etc.). He served as Editor-in-Chief and Associate Editor for several journals. He has served as a reviewer for many journals and conferences (e.g., IEEE TMC, IEEE TPDS, IEEE TKDE, IEEE TSC, IEEE TVT, ACM CSUR, etc.). He has received a Best Paper Award, NSF student travel awards, and Outstanding Conference Service Award, etc. He is a member of the ACM.

Areas of Interest

  • Cloud computing/storage
  • AI/ML
  • Wireless networks
  • Cybersecurity
  • Big data
  • Social networks/media
  • Health care
  • High-performance computing (HPC)
  • Data mining
  • Internet of things (IoT)
  • Digital twin
  • Network functions virtualization (NFV)

Education

 
  • Ph.D. in Computer Engineering • 2016
    Clemson University 
  • M.S. in Computer Science • 2012
    Clemson University 

Work History

  • Assistant Professor • 2019 - Present
    Florida A&M University (FAMU), Tallahassee, FL
  • Postdoctoral Associate (Research Scientist) • 2018 - 2019
    University of Central Florida (UCF), Orlando, FL
  • Research Associate • 2016 - 2017
    University of Virginia (UVA), Charlottesville, VA
  • Graduate Research and Teaching Assistant • 2010 - 2016
    Clemson University, Clemson, SC

Academic Accomplishments

Refereed Articles Published (Selected):

  1. J. Liu, R. Gong, R. Alo, W. Dai, R. Long and P. Ngnepieba. Falcon: An Efficient Dependency-Aware Scheduling for High Throughput and Resource Utilization in Clouds. In Proc. of 2025 IEEE World Forum on Public Safety Technology (WF-PST), Orlando, 2025.
  2. E. Katsoulakis, Q. Wang, H. Wu, L. Shahriyari, R. Fletcher, J. Liu, L. Achenie, H. Liu, P. Jackson, Y. Xiao, T. Syeda-Mahmood, R. Tuli, and J. Deng. Digital Twins for Health: A Scoping Review, NPJ Digital Medicine, 7(1):77, 2024. DOI: 10.1038/s41746-024-01073-0. Impact Factor: 15.2 [Top Journal]
  3. J. Liu, Y. Lao, Y. Mao, and R. Buyya. Sailfish: A Dependency-Aware and Resource Efficient Scheduling for Low Latency in Clouds. In Proc. of IEEE Big Data, Sorrento, 2023.
  4. J. Liu, R. Gong, W. Dai, W. Zheng, Y. Mao, W. Zhou, and F. Deng. HCoop: A Cooperative and Hybrid Resource Scheduling for Heterogeneous Jobs in Clouds. In Proc. of IEEE CloudCom, 2023.
  5. J. Liu, X. Zhang, R. Alo, X. Huang, L. Cheng, and F. Deng, CrossCas: A Novel Cross-Platform Approach for Predicting Cascades in Online Social Networks with Hidden Markov Model, In Proc. of IEEE GLOBECOM, 2022.
  6. J. Liu. Fregata: A Low-Latency and Resource-Efficient Scheduling for Heterogeneous Jobs in Clouds, In Proc. of IEEE BigComp, 2022.
  7. J. Liu, R. Alo, Y. J. Parra Bautista, C. Yedjou, and C. Theran. A Geospatial and ML-based Approach to Health Disparity Identification and Determinant Tracing for Improving Pandemic Health Care, In Proc. of SNAMS, Gandia, 2021. [Best Paper Award]
  8. J. Liu, H. Shen, H. Chi, H. Narman, Y. Yang, L. Cheng, and W. Chung. A Low-Cost Multi-Failure Resilient Replication Scheme for High-Data Availability in Cloud Storage, IEEE/ACM Transactions on Networking (TON), 29(4), 1436-1451, 2021. [Top Journal]
  9. J. Liu, W. Chung, Y. Huang and C. Toraman. CrossSimON: A Novel Probabilistic Approach to Cross-Platform Online Social Network Simulation, Proc. of IEEE ISI, 2019.
  10. J. Liu, H. Shen, and H. S. Narman. Popularity-Aware Multi-Failure Resilient and Cost-Effective Replication for High Data Durability in Cloud Storage, IEEE Transactions on Parallel and Distributed Systems (TPDS), 30(10), 2355-2369, 2019. [Top Journal]
  11. J. Liu, H. Shen, A. Sarker, and W. Chung. Leveraging Dependency in Scheduling and Preemption for High Throughput in Data-Parallel Clusters. In Proc. of IEEE CLUSTER, 2018. [Top Conferences on Cluster Computing]
  12. J. Liu, H. Shen, H. S. Narman, W. Chung, and Z. Lin. A Survey of Mobile Crowdsensing Techniques: A Critical Component for The Internet of Things, ACM Transactions on Cyber-Physical Systems (TCPS), 2(3), 18:1-26, 2018.
  13. J. Liu, H. Shen, L. Yu, H. S. Narman, J. Zhai, J. Hallstrom, and Y. He. Characterizing Data Deliverability of Greedy Routing in Wireless Sensor Networks, IEEE Transactions on Mobile Computing (TMC), 17(3), 543-559, 2018. [Top Journal]
  14. J. Liu, H. Shen, and L. Yu. Question Quality Analysis and Prediction in Community Question Answering Services with Coupled Mutual Reinforcement, IEEE Transactions on Services Computing (TSC), 10(2), 286-301, 2017. [Top Journal]
  15. J. Liu, H. Shen, and H. S. Narman. CCRP: Customized Cooperative Resource Provisioning for High Resource Utilization in Clouds, In Proc. of IEEE Big Data, Washington D.C., 2016.
  16. J. Liu and H. Shen. Dependency-aware and Resource-efficient Scheduling for Heterogeneous Jobs in Clouds, In Proc. of IEEE CloudCom, Luxembourg, 2016.
  17. J. Liu and H. Shen. A Low-Cost Multi-Failure Resilient Replication Scheme for High Data Availability in Cloud Storage, In Proc. of IEEE HiPC, 2016.
  18. J. Liu, H. Shen, and L. Chen. CORP: Cooperative Opportunistic Resource Provisioning for Short-Lived Jobs in Cloud Systems, In Proc. of IEEE CLUSTER, 2016. [Top Conferences on Cluster Computing]
  19. J. Liu, L. Yu, H. Shen, Y. He, and J. Hallstrom. Characterizing Data Deliverability of Greedy Routing in Wireless Sensor Networks. In Proc. of IEEE SECON, Seattle, 2015.

Awards

Selected Honors, Awards, and Recognitions

Awards:

  • Co-PI, NSF, “RCN-UBE: HBCU Faculty Collaborative Network for the Integration of Artificial Intelligence and Machine Learning into Teaching General Biology”, $500,000.00, 10/01/2024 – 09/30/2027 [Available: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2417643&HistoricalAwards=false]
  • PI, NSF, “Research Initiation Award: RECREATE: A Robust and Efficient Cooperative Resource Allocation and Scheduling System for High Resource Utilization and Throughput in Clouds”, $449,815.00, 08/15/2024 – 07/31/2027 [Available: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2400459&HistoricalAwards=false]
  • Recipient of the 2022-2023 Emerging Research in STEM Award, Florid A&M University, 2023
  • Co-PI, Cyber Florida, Cybersecurity Professional Pathways for Women and URM, $1,420,000, 09/2022-08/2023.
  • PI, Florid A&M University, Faculty Research Awards Program (FRAP), $5,000, 11/01/2021-10/30/2022
  • Co-PI, GOOGLE LLC COVID-19 AI and Data Science for Social Good Fund Award, $85,000, 09/2020-08/2022
  • Received Best Paper Award for the paper A Geospatial and ML-based Approach to Health Disparity Identification and Determinant Tracing for Improving Pandemic Health Care, International Conference on Social Networks Analysis, Management and Security (SNAMS 2021)
  • NSF Student Travel Grant, IEEE SECON, May 2015
  • The Bronze Prize of University of Science and Technology of China, 1,500 Chinese Yuan, 2011
  • First place for Band C National English Contest for College Students, PR China, 3,000 Chinese Yuan, 2008
  • National Scholarship, Ministry of Education of PR China, 8,000 Chinese Yuan, 2007
  • Third place for Band C National English Contest for College Students, PR China, 1,500 Chinese Yuan, 2007

Honors:

  • Certificate of Outstanding Service Award of the 6th ACM/IEEE Conference on Internet of Things Design and Implementation (ACM/IEEE IoTDI 2021), May 2021
  • Service Award of 16th IEEE International Conference on Mobile Ad-Hoc and Smart Systems (IEEE MASS 2019), November 2019
  • Outstanding Graduate of University of Science and Technology of China, 2012
  • Student elite of University of Science and Technology of China, 2009
  • Third place in Computer Work Competition in Pan-Pearl River Delta Amway Cup, PR China, 2009

Recognitions:

  • Recognized for the Service in CIS Faculty Search Committee, Florid A&M University, 2024
  • Recognized for the Service in CIS Faculty Search Committee, Florid A&M University, 2022
  • Recognized as the prestigious Editorial Board Member and Technical Committee of ISCAI, 2022
  • Certificate of Presenting the Research Work in 2022 IEEE Global Communications Conference
  • Recognized for the prestigious Editorial Board Member and Technical Committee Member of ISCAI 2021 and has been nominated as Best Reviewer of this conference, 2021
  • Recognized for the prestigious Program Committee Member and Technical Committee of ISCAI, 2021
  • Certificate of Reviewing Award of the 2020 International Symposium on Computing and Artificial Intelligence (ISCAI 2020), 2020
  • Certificate of Participation Award of the 2020 International Symposium on Computing and Artificial Intelligence (ISCAI), 2020
  • Reviewing Award: In recognition of the review contributed to the Journal of Parallel and Distributed Computing (JPDC), 2019
  • Reviewing Award: In recognition of the review contributed to the Journal of Systems & Software (JSS), 2019
  • Certificate of Reviewing Award of the 9th International Conference on Electronics, Communications and Networks (CECNet2019), 2019
  • Certificate of Reviewing Award of the 2019 International Symposium on Computing and Artificial Intelligence (ISCAI 2019), 2019
  • Certificate of Reviewing Award of the 8th International Conference on Electronics, Communications and Networks (CECNet2018), 2018

Courses Taught At FAMU

  • COP 5725 Principles of Database Management Systems
  • COP 3610 Operating Systems
  • COT 4210 Foundations of Computer Science
  • COT 3100 Discrete Structures I
  • COP 5614 Operating Systems
  • CIS 4361 Applied Security
  • CNT 5415 Applied Computer Network Security
  • CIS 4361E Applied Security
  • CIS 4360 Introduction to Computer Security
  • COP 3710E Database Management Systems
  • CIS 4360E Introduction to Computer Security
  • COP 3710 Database Management Systems
  • COP 4710 Advanced Database Management Systems
  • COP 3014CE Fundamentals of Programming
  • COP 3530 Program, Data and File Structures
  • CIS 5970 Thesis

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