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Academic
Dr.
Mohammad A. Jeragh
Assistant Professor
Office Location:
S02E1167
Alumni
False
Education
| Degree | Discipline | Institution | Year |
|---|---|---|---|
| Ph.D | Computer Science (Field of Data Base, Data Warehouse, Data Mining) | Syracuse University, Syracuse, NY | 2001 |
| M.S. | Computer Science | Syracuse University, Syracuse, NY | 1996 |
| B.S. | Computer Engineering | Kuwait University | 1994 |
Research Interests
Data Mining, Artificial Intelligence, Texture Recognition, Web Mining.
Courses Taught
CPE
201
Advance Computer Programming
CPE
207
Data Structures
CPE
341
Database Management Systems
CPE
371
Software Engineering and Development
CPE
325
Human-Computer Interaction
CPE
402
Cloud and Net-Centric Computing
CPE
441
Advanced Database Systems
CPE
508
Advanced Topics In Software Engineering
CPE
561
Parallel Computing
CPE
599
Thesis
Selected Publications
- K. Mehrotra and M. Jeragh. Sampling Methods in Decision Trees. In International Conference on Artificial Intelligence. Las Vegas, NV, June 2000
- M. Jeragh and K. Mehrotra. Role of Sampling in Data Mining for Association Rules. In International Conference on Artificial Intelligence. Las Vegas, NV, 2001
- M. Jeragh, Ghufran AlShiridah, Muhammad Hrishiah and Maha Zayoud. Improve Market Response by Measuring Group Influence in Social Networks. In Web Based Communities and Social Media & Collaborative Technologies. Lisbon, Portugal 2012
- M. Jeragh, Eman AlQuraishi, and Eman AlDwaisan.A Twitter-Based Weighted Reputation System. In The 9th International Conference on Mobile Web Information Systems (MobiWIS) Niagara Falls, Ontario, Canada, August 27-29, 2012
- M. Jeragh and Suad AlNsafi. E-Government Implementation in Kuwait: State Challenges and Issues. In 3rd World Conference on Information Technology (WCIT 2012), Barcelona, Spain, November 14-16, 2012
- Mohammad Jeragh, Discovering Influence in Twitter: a machine learning approach using SVM, Journal of Software, 2014(1), 100-106.
- A Comparative Study on Pruning Deep Convolutional Neural Networks Using Clustering Methods: K-Means, CLIQUE, DENCLUE, and OptiGrid (Paper ID: CS744), for presentation at the 2024 9th International Conference on Multimedia and Image Processing (ICMIP 2024) in Osaka, Japan
Work Experience
Academic Experience
| Institution | Designation | Year/Period |
|---|---|---|
| Kuwait University | Assistant Professor | 2001 |
Industry Experience
| Organization | Designation | Year/Period |
|---|---|---|
| Electrical and Computer Engineering Dept. Kuwait University | Teaching Assistant | 1994 - 1994 |
| Kuwait University | Consultant to the Assistant Vice-Rector for Information Systems Affairs | 2012 - 2014 |
| Cultural Attaché Washington DC | Cultural Attaché | 2016 - 2017 |
| Ministry of Defense | Consultant to the Assistant Under Secretary | 2010 |
| CTC | Consultant to the Secretary General | 2009 |
| Ministry of Higher Education | Consultant to the Under Secretary | 2012 - 2014 |
| Ministry of Commerce and Industry | Consultant to the Minister | 2020-2022 |
| Public Authority of Manpower | Consultant to the Minister | 2020-2022 |
| Capital Markets Authority | Consultant to the Minister | 2020-2022 |
| CAIT | Committee to supervise and preparation for the infrastructures of IT | 2020-2022 |
Community Service
- ACM Kuwait Chapter, Kuwait.
-
IEEE Computer Society.
Other
Service Activities
- OCCD, ERP, IT infrastructure in government agencies, 2019.
Recent Professional Development Activities
Attending the following conferences:
- 1st International Conference on Data Science & Artificial Intelligence, Berkeley Hotel Pratunam, Bangkok, Thailand 27-29 November 2023.
- 9th International Conference on Information Management (ICIM2023), University of Oxford, Oxford, UK, from March 17th to 19th, 2023.
- 9th ACM/SPEC International Conference on Performance Engineering (ICPE 2018), Berlin, Germany - April 9-13, 2018
Overseeing two graduate students as their main advisor
- Unsupervised Techniques in Image Captioning: A Simple and Unsupervised Image Captioning. Submitted by: Mousa AlSulaimi. A Thesis Submitted to the College of Graduate Studies in Partial Fulfilment of the Requirements for Master's Degree in: Computer Engineering. Supervised by: Dr. Mohammad Jeragh. 2021.
- KCLPruning: A Novel Clustering Method on Convolutional Kernels to Accelerat Deep Convolutional Neural Networks. Submitted by: Danah Saud Al-Qemlas. A Thesis Submitted to the College of Graduate Studies in Partial Fulfilment of the Requirements for Master's Degree in: Computer Engineering. Supervised by: Dr. Mohammad Jeragh. Kuwait. June/2023
Full CV