Djigal Hamza

  • Position:
    Assistant Professor of Computer Science
  • College:
    College of Science, Mathematics and Technology
  • Office:
    CSMT 440

Education background

October 2006- August 2009: B.S. in Mathematics
Cheikh Anta Diop University of Dakar, Senegal

October 2010- August 2011: Master in Algebra and Geometry Application (Specialty Cryptography), Cheikh Anta Diop University of Dakar, Senegal

September 2012-June 2014: M.S. in Software Engineering
Central China Normal University, Wuhan, China

Ph.D. in Computer Science and Technology
Hohai University, Nanjing, China

Courses teaching in WKU

Microcomputer Applications

Computer Programming

Biography (required for all faculty)

ACADEMIC EXPERIENCE

June 2021- June 2023: Postdoc Fellow in Computer Science and Technology, Jiangsu Key Laboratory of Big Data Security and Intelligent Processing, Nanjing University of Posts and Telecommunications

2014 – 2015: Lecturer in Mathematics and Java EE, Cheikh Anta Diop University of Dakar, Senegal

2020: Diploma accreditation and Computer Science Syllabus establishment at Dakar University of Science and Technology, Senegal

July 2018 – January 2019: JAVA JEE Architect at China Power Software, Nanjing, China

October 2012 – June 2014: Windows server 2008 R2 Administrator at Embassy of the Republic of Senegal in the People’s Republic of China

March 2014 – April 2014: E-commerce Project Manager at Guangdong Taozhenbao Technology Co., Ltd, Guangzhou

 

RESEARCH GRANTS AND SCHOLARSHIPS

January 2022 - December 2022: National Foreign Expert Program of China under grant QN2022014001.

Project titled: “Research on Reinforcement Learning-Based Offloading and scheduling Mechanisms in Multi-access Edge Computing”. Amount: 200,000.0 RMB ($29,000.0).

September 2016 - July 2020: China Scholarship Council, Ph.D degree.

September 2012 - July 2014: China Scholarship Council, Master degree.

 

Hobbies: Football, Documentary films

Research interests

My current research interests mainly include Distributed Systems, Cloud Computing, Mobile Edge Computing (MEC), and Deep Learning. Particularly, I am interested in algorithms development for resource management in MEC networks. My recent work mainly focuses on the following research issues:

• Parallel and Distributed Computing

• Cloud Computing Security

• Mobile Edge Computing (MEC)

• Machine and Deep Learning

• IoT Applications

• Resource Allocation in MEC networks.

• Scientific Workflow Management in Distributed Systems

• Task Offloading and Scheduling in MEC/Fog/Cloud

Selected Publications/scholarly and creative work

Hamza Djigal, Jia Xu, Linfeng Liu, and Yan Zhang, “Machine and Deep Learning for Resource Allocation in

Multi-Access Edge Computing: A Survey,” in IEEE Communications Surveys & Tutorials, 2022, doi: 10.1109/COMST.2022.3199544. (SCI Q1, IF =33.84)

Hamza Djigal, Feng Jun, Jiamin Lu, and Jidong Ge, “IPPTS: An Efficient Algorithm for Scientific Workflow

Scheduling in Heterogeneous Computing Systems,” in IEEE Transactions on Parallel and Distributed Systems, vol. 32, no. 5, pp. 1057-1071, 1 May 2021, doi: 10.1109/TPDS.2020.3041829. (CCF A, SCI, IF 3.757).

Hamza Djigal, Linfeng Liu, Jian Luo, and Jia Xu, “BUDA: Budget and Deadline Aware Scheduling Algorithm for Task Graphs in Heterogeneous Systems,” in IEEE/ACM International Symposium on Quality-of-Service 2022. (CCF B, EI, Scopus).

• Hamza Djigal, Jun Feng and Jiamin Lu, “Performance Evaluation of Security-Aware List Scheduling Algorithms in IaaS Cloud”, 2020, 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet

Computing (CCGRID), Melbourne, Australia, 2020, pp.330-339. (CCF C, EI, Scopus).

Hamza Djigal, Jun Feng, and Jiamin Lu., “Task Scheduling for Heterogeneous Computing using a Predict Cost Matrix”, In 48th International Conference on Parallel Processing (ICPP 2019), August 5–8, 2019, Kyoto, Japan. ACM, New York, NY, USA, 10 pages. (CCF B, EI, Scopus).

Hamza Djigal, Feng Jun and Jiamin Lu, “Secure Framework for Future Smart City”,The 4th IEEE International Conference on Cyber Security and Cloud Computing. (IEEE CSCloud 2017, EI, Scopus), New

York, NY, 2017, pp. 76-83.