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Professor. Haidar Ramadhan

HOD-Professor

Professor. Haidar Ramadhan

HOD-Professor

Prof Haidar Ramadhan is a hardcore academic specializing in Computer Science, Artificial Intelligence, HCI, Data Sciences and Programming Paradigms; received BS and MS degrees in Computer Science from the University of North Carolina (USA) in 1985 and 1988, and the PhD degree in Computer Science and AI from the University of Sussex (UK) in 1993; a full Professor with more than three decades of experience in all key areas of academia. On teaching and curriculum side, (1) teaching BS, MS, and PhD courses as well as supervising student projects and dissertations across these three levels; (2) designing, reviewing, improving and restructuring curriculum and programs both for BS and MS degrees; (3) conducting external college and department reviews; (4) establishing new academic units, departments, colleges, and research groups and centers; and (5) leading the implementation operations of agreements with international academic affiliations and partners.

On the research side, (a) conducting advanced, individual, collaborative and funded research which resulted in publishing 31 reviewed journal articles, 3 book articles, and 29 reviewed articles in international conferences; (b) receiving a large national research grant from His Majesty Sultan Qaboos, a research grant from the Oman Research council, and 3 research grants from Sultan Qaboos University; and (3) extensively contributing to journal editorial boards and to the organization of conferences, workshops and symposiums in addition to chairing main and technical program committees.

On the management side, (1) founder and chair of the Computer Science department at Sultan Qaboos University (SQU), (2) Dean of the College of Science, (3) member of the University Academic Council for 8 years (the highest authority of SQU), (4) member of several foundation committees for new colleges and departments, (5) chair and member of 3 university strategic planning committees, (6) Dean (President) of a private university college, (7) Deputy Vice Chancellor for Academic and Research of a private university, and (8) consultant for strategic planning and quality assurance.

Dr. Ismaeel Al Ridhawi

Associate Professor

Dr. Ismaeel Al Ridhawi

Associate Professor

Dr. Ismaeel Al Ridhawi received his BASc, MASc, and Ph.D degrees in Electrical and Computer Engineering from the University of Ottawa, Canada, in 2007, 2009, and 2014, respectively. He is a registered professional engineer in Ontario (P.Eng). Dr. Al Ridhawi is a Senior IEEE member with many peer-reviewed publications in highly ranked magazines, journals and conference proceedings. He is an associate and guest editor in many journals and has organized a number of IEEE conferences over the years. His current research interests include service provisioning in next generation networks, wireless network management, and service-specific overlay networks.

Licences Granted

Professional Engineers License (P.Eng) from Professional Engineers Ontario (PEO). Licence #: 100539725 - https://www.peo.on.ca/directory

Editorial Boards of Journal

• Associate Editor, Springer Journal of Cluster Computing.
• Topic Editor, MDPI Journal of Applied Sciences.
• Topic Editor, MDPI Journal of Electronics.
• Topic Editor, MDPI Journal of Healthcare.
• Topic Editor, MDPI Journal of Sensor and Actuator Networks.
• Topic Editor, MDPI Journal of Sensors.

Professional Duties

Associate Editor: Springer Journal of Cluster Computing - https://www.springer.com/journal/10586
Guest Editor: IEEE Wireless Communications – Special Issue on ‘Empowering Sustainable Energy Infrastructures via AI-Assisted Wireless Communications’ - https://www.comsoc.org/publications/magazines/ieee-wireless-communications/cfp/empoweringsustainable-energy
Conference Session Chair: IEEE 2020 International Workshop on Intelligent Transportation and Connected Vehicles Technologies (ITCVT 2020) - https://emergingtechnet.org/ITCVT2020/
Program Committee Member: IEEE Access, IEEE GlobeCom 2020, IEEE BCCA 2020, IEEE ISCC 2020, IEEE ITCVT 2020.

Conference Organization

IEEE 2020 Workshop on Blockchain for Big Data (General Co-Chair) - http://intelligenttech.org/BCCA2020/BCBD.html
IEEE 2020 3rd International Workshop on Intelligent Transportation and Connected Vehicles Technologies (Publicity Chair) - https://emergingtechnet.org/ITCVT2020/committee.php

Conferenec Presentations

IEEE International Conference on Communications (ICC), 7-11 June 2020, Virtual conference paper presentation.https://icc2020.ieee-icc.org/
IEEE/IFIP Network Operations and Management Symposium (NOMS), 20-24 April 2020, Virtual conference paper presentation. https://noms2020.ieee-noms.org/

RECENT PUBLICATIONS (SINCE 2015)

Refereed Journal Articles

Y. Jararweh, S. Otoum, I. Al Ridhawi, “Trustworthy and Sustainable Smart City Services at the Edge,” in Sustainable Cities and Society, Vol. 62, November 2020. (IF: 5.3) - https://doi.org/10.1016/j.scs.2020.102394
M. Aloqaily, H. B. Salameh, I. Al Ridhawi, K. Batieha, J. B. Othman, “A Multi-stage Resource-constrained Spectrum Access Mechanism for Cognitive Radio IoT Networks: Time-Spectrum Block Utilization,” in Future Generation Computer Systems, Vol. 110, pp. 254-266, September 2020. (IF: 5.8) - https://doi.org/10.1016/j.future.2020.04.022
I. Al Ridhawi, Y. Kotb, M. Aloqaily, Y. Jararweh and T. Baker, "A Profitable and Energy-Efficient Cooperative Fog Solution for IoT Services," in IEEE Transactions on Industrial Informatics, vol. 16, no. 5, pp. 3578-3586, May 2020. (IF: 7.4) - https://doi.org/10.1109/TII.2019.2922699
I. Al Ridhawi, S. Otoum, M. Aloqaily, Y. Jararweh, and T. Baker “Providing Secure and Reliable Communication for Next Generation Networks in Smart Cities,” in Sustainable Cities and Society, Vol. 56, May 2020. (IF: 5.3) - https://doi.org/10.1016/j.scs.2020.102080
F. Safara, A. Souri, T. Baker, I. Al Ridhawi, M. Aloqaily, “PriNergy: A Priority-based Energy Efficient Routing Method for IoT Systems,” in Journal of Supercomputing, January 2020. (IF: 2.2) - https://doi.org/10.1007/s11227-020-03147-8
H. B. Salameh, S. Otoum, R. Derbas, M. Aloqaily, I. Al Ridhawi and Y. Jararweh, “Intelligent Jamming-aware Routing in Multi-hop IoT-based Opportunistic Cognitive Radio Networks,” in Ad Hoc Networks, vol. 98, March 2020. (IF: 3.5) - https://doi.org/10.1016/j.adhoc.2019.102035
V. Balasubramanian, S. Otoum, M. Aloqaily, I. Al Ridhawi, Y. Jararweh, “Low-Latency Vehicular Edge: A Vehicular Infrastructure Model for 5G,” in Simulation Modelling Practice and Theory, vol. 98, January 2020. (IF: 2.7) - https://doi.org/10.1016/j.simpat.2019.101968
I. A. Ridhawi, M. Aloqaily and A. Boukerche, "Comparing Fog Solutions for Energy Efficiency in Wireless Networks: Challenges and Opportunities," in IEEE Wireless Communications, vol. 26, no. 6, pp. 80-86, December 2019. (IF: 11.0) - https://doi.org/10.1109/MWC.001.1900077
Y. Kotb, I. Al Ridhawi, M. Aloqaily, Y. Jararweh, T. Baker, and H. Tawfik, “Cloud-Based Multi-Agent Cooperation for IoT Devices Using Workflow-Nets,” in Journal of Grid Computing, pp. 1-26, 2019. (IF: 3.3) - https://doi.org/10.1007/s10723-019-09485-z
M. Aloqaily, I. Al Ridhawi, H. B. Salameh and Y. Jararweh, "Data and Service Management in Densely Crowded Environments: Challenges, Opportunities, and Recent Developments," in IEEE Communications Magazine, vol. 57, no. 4, pp. 81-87, April 2019. (IF: 10.4) - https://doi.org/10.1109/MCOM.2019.1800624
M. Aloqaily, S. Otoum, I. Al Ridhawi, and Y. Jararweh, “An Intrusion Detection System for Connected Vehicles in Smart Cities,” in Ad Hoc Networks, 2019. (IF: 3.5) - https://doi.org/10.1016/j.adhoc.2019.02.001
I. Al Ridhawi, M. Aloqaily, B. Kantarci, Y. Jararweh, and H. T. Mouftah, “A Continuous Diversified Vehicular Cloud Service Availability Framework for Smart Cities,” in Computer Networks, vol. 145, pp. 207-218, 2018. (IF: 3.1) - https://doi.org/10.1016/j.comnet.2018.08.023
I. Al Ridhawi, M. Aloqaily, Y, Kotb, Y. Al Ridhawi, and Y. Jararweh, “A collaborative mobile edge computing and user solution for service composition in 5G systems,” in Transactions on Emerging Telecommunication Technologies, June 2018. (IF: 1.3) - https://doi.org/10.1002/ett.3446
I. Al Ridhawi, Y. Kotb and Y. Al Ridhawi, “Workflow-Net Based Service Composition using Mobile Edge Nodes”, in IEEE Access, vol. 5, pp. 23719-23735, 2017. (IF: 4.1) - https://doi.org/10.1109/ACCESS.2017.2766068
I. Al Ridhawi and Y. Kotb, “A Secure Service-Specific Overlay Composition Model for Cloud Networks,” in Journal of Software Networking, vol. 2017, no. 1, pp. 221-240, 2017. https://doi.org/10.13052/jsn2445-9739.2017.011

Refereed Conference Papers

I. A. Ridhawi, M. Aloqaily, A. Boukerche and Y. Jaraweh, "A Blockchain-Based Decentralized Composition Solution for IoT Services," ICC 2020 - 2020 IEEE International Conference on Communications (ICC), Dublin, Ireland, 2020, pp. 1-6. https://doi.org/10.1109/ICC40277.2020.9149031
O. Bouachir, M. Aloqaily, I. A. Ridhawi, O. Alfandi and H. B. Salameh, "UAV-Assisted Vehicular Communication for Densely Crowded Environments," NOMS 2020 - 2020 IEEE/IFIP Network Operations and Management Symposium, Budapest, Hungary, 2020, pp. 1-4, https://doi.org/10.1109/NOMS47738.2020.9110438
M. Daraghmeh, I. Al Ridhawi, M. Aloqaily, A. Agarwal and Y. Jararweh, “A Power Management Approach to Reduce Energy Consumption for Edge Computing Servers,” in Proc. 4th IEEE International Conference on Fog and Mobile Edge Computing (FMEC 2019), Rome, Italy, 2019. https://doi.org/10.1109/FMEC.2019.8795328
V. Balasubramanian, F. Zaman, M. Aloqaily, I. Al Ridhawi, Y. Jararweh, and H.B. Salameh, “A Mobility Management Architecture for Seamless Delivery of 5G-IoT Services,” in Proc. 2019 IEEE International Conference on Communications (ICC 2019), Shanghai, China, 2019. https://doi.org/10.1109/ICC.2019.8761658
M. Aloqaily, V. Balasubramanian, F. Zaman, I. Al Ridhawi, and Y. Jararweh, “Congestion Mitigation in Densely Crowded Environments for Augmenting QoS in Vehicular Clouds,” in Proc. 8th ACM International Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications (DIVANet’18), Montreal, QC, Canada, 2018. https://doi.org/10.1145/3272036.3272038
M. Al-Hammouri, B. Madani, M. Aloqaily, I. Al Ridhawi, Y. Jararweh, “Scalable Video Streaming for Real-Time Multimedia Applications Over DDS Middleware,” in Proc. 15th ACS/IEEE International Conference on Computer Systems and Applications, Aqaba, Jordan, 2018. https://doi.org/10.1109/AICCSA.2018.8612848
N. Moustafa, I. Al Ridhawi, M. Aloqaily, “Fog Resource Selection Using Historical Executions,” in Proc. IEEE 3rd International conference on Fog and Mobile Edge Computing (FMEC 2018), Barcelona, Spain, 2018. https://doi.org/10.1109/FMEC.2018.8364078
M. Al Ja’afreh, M. Aloqaily, I. Al Ridhawi, N. Moustafa, “A Hybrid-based 3D Streaming Framework for Mobile Devices over IoT Environments,” in Proc. IEEE 3rd International conference on Fog and Mobile Edge Computing (FMEC 2018), Barcelona, Spain, 2018. https://doi.org/10.1109/FMEC.2018.8364067
I. Al Ridhawi, N. Moustafa, Y. Kotb, M. Aloqaily, I. Abualhaol, “Data Caching and Selection in 5G Networks Using F2F Communication,” in Proc. 28th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2017), Montreal, Canada, 2017. https://doi.org/10.1109/PIMRC.2017.8292681
M. Aloqaily, I. Al Ridhawi, B. Kantarci, H. Mouftah, “Vehicle as a Resource for Continuous Service Availability in Smart Cities,” in Proc. 28th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2017), Montreal, Canada, 2017. https://doi.org/10.1109/PIMRC.2017.8292752
I. Al Ridhawi and Y. A. Ridhawi, "A cache-node selection mechanism for data replication and service composition within cloud-based systems," in Proc. 9th International Conference on Ubiquitous and Future Networks (ICUFN), Milan, 2017, pp. 726-731. https://doi.org/10.1109/ICUFN.2017.7993886
W. Masri, I. Al Ridhawi, N. Mostafa and P. Pourghomi, "Minimizing delay in IoT systems through collaborative fog-to-fog (F2F) communication," in Proc. 9th International Conference on Ubiquitous and Future Networks (ICUFN), Milan, 2017, pp. 1005-1010. https://doi.org/10.1109/ICUFN.2017.7993950
I. Al Ridhawi, Y. Kotb, M. Aloqaily and B. Kantarci, "A probabilistic process learning approach for service composition in cloud networks," in Proc. IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE), Windsor, ON, 2017, pp. 1-6. https://doi.org/10.1109/CCECE.2017.7946604
I. Al Ridhawi and Y. Kotb, “A Secure Workflow-Net Model for Service-Specific Overlay Networks,” in Kim K., Joukov N. (eds) Mobile and Wireless Technologies 2017, ICMWT 2017, Lecture Notes in Electrical Engineering, Springer, vol. 425, pp. 389-399. https://doi.org/10.1007/978-981-10-5281-1_42
I. Al Ridhawi, N. Moustafa, and W. Masri, “Client-Side Partial File Caching for Cloud-Based Systems,” in Proc. 2016 IEEE Smart World Congress, 18-21 July 2016. https://doi.org/10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0143

Dr. Ehtesham Hasan

Associate Professor

Dr. Ehtesham Hasan

Associate Professor

Dr Ehtesham Hassan is an Assistant professor in the department of CSE at the Kuwait College of Science and Technology, Kuwait. His research interests’ focus on problems related to computer vision, machine learning, data mining and pattern recognition. He holds a PhD degree from the Indian Institute of Technology Delhi where his research focused on learning methods for multimedia content modeling. Before joining the KCST, he worked as Scientist in the TCS Research, New Delhi, India conducting applied research in artificial intelligence based applications including sensor analytics, visual analytics, augmented reality and robotics.

Dr Hasan Kazan

Associate Professor

Dr Hasan Kazan

Associate Professor

Dr. Hasan Kazan holds both a MS and a PhD in Computer Engineering from Belgium. With a passion for embedded systems and real-time operating systems (RTOS), his research journey led to a specialization in virtualization solutions for both embedded and business applications. Post-PhD, he transitioned into a dedicated researcher, exploring the frontiers of cloud computing and virtualization.

Dr. Kazan is equally passionate about education, having taught at distinguished universities in Lebanon and Belgium, where he has guided countless students through their BA and MA theses. He recently worked as an IT consultant, trainer, and taught courses that aid in the merger of business administration and technology, thereby assisting in digital transformations.

On the managerial side, Dr. Kazan served as a department chairperson and been an integral part of committees related to quality assurance, as well as committees dedicated to shaping teaching and learning strategies. Dr. Kazan has a research portfolio of more than 30 multidisciplinary publications in the fields of business, forensic sciences, and computer sciences.

Dr. Omar Khattab

Associate Professor

Dr. Omar Khattab

Associate Professor

Dr. Omar Khattab received his PhD degree in Data Telecommunications and Networks, at School of Computing, Science and Engineering, Salford University, United Kingdom, in 2014. Dr. Khattab was awarded the Dean’s Prize for the best postgraduate student in recognition of his outstanding research works and achievements as a postgraduate researcher. Dr. Khattab has over than twelve years of progressively responsible between teaching, researching and supervision, in Kuwait, Saudi Arabia, UK and Jordan. Dr. Khattab has more than twenty refereed publications as first author. Dr. Khattab obtained lots of Professional Certificates in the field of Computer Networks and IT from Cisco and Microsoft.

RECENT PUBLICATIONS (SINCE 2015)

O.Khattab, “Enhance Vertical Handover Security during Execution Phase in Mobile Networks,” Computers, Materials & Continua, vol. 72, no. 2, March 2022, pp. 3863-3875.
O.Khattab.; Tahreer Almutairi, Sarah Alshemari, Rawaa Aldhaen and Hanadi Alajmi.;, "Prototype Design of New Comprehensive Traffic Control System", International Journal of Emerging Technology and Advanced Engineering (IJETAE), vol. 12, no.3, Feb 2022, pp. 115-123.
O.Khattab, M. Bonashi, S. Ashraf and A. Almuwaizri, "Prototype of New Efficient System to Extremely Reduce Banks Losses", International Journal of Emerging Technology and Advanced Engineering (IJETAE), vol. 11, no. 10, Oct 2021, pp. 153–165.
O.Khattab.; A.Almetlaqem, D.Almutairi, M.Alnaser and M.Almutairi.;," Prototype of New Reliable Airport Luggage Tracker System", International Journal of Emerging Technology and Advanced Engineering (IJETAE), vol. 11, no. 8, Aug 2021, pp. 42–47.
O.Khattab.; “A New Secure Algorithm for Upcoming Sensitive Connection between Heterogeneous Mobile Networks,” International Journal of Advanced Computer Science and Applications (IJACSA), vol. 12, no. 7, July 2021, pp.705-709.
O.Khattab.; H.Matbaqi, H.Dashti and R.Abdullah.;, "Enhancement of Peer-to-Peer Smart Tracking System (P2P-STS)", International Journal of Advanced Trends in Computer Science and Engineering (IJATCSE), vol. 9, no. 5, Oct 2020, pp. 8730 – 8736.
O.Khattab.; H.Alzayed, A. Almutairi, Z. Yousef.;, "Conducting Empirical Research Study: How to Effectively and Securely Use the Vital Features of the Active Directory Network Server", International Journal of Advanced Trends in Computer Science and Engineering (IJATCSE), vol. 9, no. 1, Feb 2020, pp. 87-90.
O.Khattab.;, "A Comprehensive Survey on Vertical Handover Security Attacks during Execution Phase", International Journal of Advanced Trends in Computer Science and Engineering (IJATCSE), vol. 8, no. 5, Oct 2019, pp. 1965-1968.
O.Khattab.;, "Vertical Handover Study on 4G Category vs. 5G Category for 3GPP Generation Mobile Systems and Non-3GPP Wireless Network", Transactions on Networks and Communications, vol. 6, no. 2, Apr 2018, pp. 1-9.
O.Khattab.;," An Overview of VHO Security vs. VHO Non-Security in Mobile Networks: Approaches", IOSR Journal of Electronics and Communication Engineering. , vol. 13, no. 2, Ver. I, Mar-Apr 2018, pp. 72-75.
O.Khattab.;," Performance Analysis of Reducing Signaling Cost for a Roaming User in Vertical Handover Algorithm for Mobile Networks", IOSR Journal of Computer Engineering, vol. 19, no. 6, Ver. II, Dec 2017, pp. 94-99.
O.Khattab.;, “An Overview on ANS Methods: Who Is a Dominant for the Seamless Vertical Handover Decision through Heterogeneous Networks?,” International Journal of Engineering Trends and Technology (IJETT), vol. 41, no. 4, Nov 2016, pp. 165-169.

Dr. Basil Alothman

Assistant Professor

Dr. Basil Alothman

Assistant Professor

Dr. Basil Alothman joined Kuwait College of Science and Technology (KCST) as Assistant Professor at Computer Science and Engineering Department. Dr. Basil graduated from De Montfort University, Leicester, UK with PhD in Computer Science. He received his MSc in Computer Science from University of Hertfordshire, UK and BSc in Computing & Information System from University of Dubai, UAE. Dr. Basil is mainly interested in cybersecurity science or more specifically, computer and network security issues, mobile security, computer privacy, OSINT, reverse engineering, cloud and VM security, big data security, IoT security, and Botnet detection techniques.

RESEARCH AREAS

Cybersecurity
Computer and Network Security
Mobile Security
Reverse Engineering
Cloud and VM Security
Big Data Security
IoT Security
Botnet Detection

RECENT PUBLICATIONS (SINCE 2015)

B. Alothman, "Raw Network Traffic Data Preprocessing and Preparation for Automatic Analysis," 2019 International Conference on Cyber Security and Protection of Digital Services (Cyber Security), Oxford, 2019, pp. 1-6.
B. Alothman, N. Sadawi, O. Al-Ibrahim, "Towards using Twitter Data for an Untargeted OSINT Investigation," 2018 13th International Conference for Internet Technology and Secured Transactions (ICITST), Cambridge, 2018.
B. Alothman, H. Janicke and S. Yerima "Class Balanced Similarity-Based Instance Transfer Learning for Network Traffic Analysis", Int. conference on DS, Springer International Publishing. 2018.
B. Alothman, H. Janicke and S. Yerima "Class Balanced Similarity-Based Instance Transfer Learning for Network Traffic Analysis", Int. conference on DS, Springer International Publishing. 2018.B. Alothman, "Similarity-Based Instance Transfer Learning for Botnet Detection," IJICR Journal, vol.9, no.1, pp.880-889, 2018. DOI: 10.20533/IJICR.2042.4655.2018.0107.
B. Alothman and P. Rattadilok, "Android botnet detection: An integrated source code mining approach," 2017 12th International Conference for Internet Technology and Secured Transactions (ICITST), Cambridge, 2017, pp. 111-115. doi: 10.23919/ICITST. 2017.8356358.
B. Alothman and P. Rattadilok, "Towards using transfer learning for Botnet Detection," 2017 12th International Conference for Internet Technology and Secured Transactions (ICITST), Cambridge, 2017, pp. 281-282. doi: 10.23919/ICITST.2017.8356400.

Dr. Omer Mohamed

Assistant Professor

Dr. Omer Mohamed

Assistant Professor

Dr. Omer Adam earned his PhD in information technologies (computer science) from the School of Information Technologies at The University of Sydney, Sydney, Australia. He holds a Bachelor of Computer Science degree and a Master of Science degree in Computer Engineering from the Engineering College at Kuwait University. He has joined the KCST as an assistant professor in the Department of Computer Science and Engineering in 2018. His research interests include resource allocation and resource efficiency in cloud computing and IoT, system modelling and simulation, system performance analysis, and Big Data processing applications.

Dr. Murad Khan

Assistant professor

Dr. Murad Khan

Assistant professor

Dr. Murad Khan is an Assistant professor in the department of CSE at the Kuwait College of Science and Technology, Kuwait. Dr. Khan received his MS and Ph.D. degrees from Kyungpook National University, South Korea, in 2017. Before joining the KCST, he worked as a Korea Research Fellow with the School of Computer Science & Engineering, Kyungpook National University, South Korea. His research expertise includes designing energy-efficient communication protocols for the Internet of Things using machine and deep learning techniques. Dr. Khan has published more than 100 research articles in top-tier journals and international conferences.

Editorial Boards of Journal

• Guest Editor: Special Issue on “Global Urban Monitoring and Assessment Through Earth Observation Using AI and Big Data (Radio Science), 2022-23.
https://agupubs.onlinelibrary.wiley.com/hub/journal/1944799X/features/call-for-papers
• Guest Editor: Special Issue on “Artificial Intelligence and Intelligent Control for Autonomous Systems (Systems, MDPI), 2022-23.
https://www.mdpi.com/journal/systems/special_issues/aias
• Guest Editor: Special Issue on “Sustainable Technologies for Chemical Processing and Waste Management, (Chemosphere, Elsevier), 2022-23.
https://www.sciencedirect.com/journal/chemosphere/about/call-for-papers

Dr. Abdullatif BABA

Assistant Professor

Dr. Abdullatif BABA

Assistant Professor

Dr. Abdullatif BABA has joined Kuwait College of Science and Technology (KCST) in 2022, as Assistant Professor in Computer Science and Engineering Department. Dr. BABA graduated from Paul SABATIER University, Toulouse, France, with Ph.D. in Artificial Intelligence and Robotics. He received his MSc in Automatic systems from the same university. Dr. BABA is mainly interested in Computer vision, AI-based applications, embedded systems, UAVs, and robotics.

RESEARCH AREAS

Computer vision
Artificial Intelligence
UAVs
Robotics
FPGA-based embedded systems

Editorial Boards of Journal

• Associate editor for the Journal of Computational and Theoretical Nanoscience.
• Guest associate editor for the International journal "Frontiers in Robotics and AI"; (Science Citation Index - emerging).
• Editorial board member in the International journal "Modern Intelligent Times".
• Editorial board member in the "Journal of soft computing Exploration".
• Candidate for playing the role of associate editor for the journal "Electric Power Systems Research" which is an SCI-Expanded journal from Elsevier, with SJR: 1.11 and impact factor: 3.818. (The decision should be issued in a short time).

RECENT PUBLICATIONS (Since 2017)

A fuzzy logic-based stabilization system for a flying robot, with an embedded energy harvester and a visual decision-making system. Robotics and Autonomous Systems; Q1/Journal, Elsevier, 2023.
FPGA-based parallel implementation to classify Hyperspectral images by using a Convolutional Neural Network. Integration; Q3/Journal, Elsevier, 2023, 10.1016/j.vlsi.2023.04.003.
Probabilistic-Based Forecasting Method For Time Series Datasets; Duzce University Journal of Science and Technology, 2023. doi: 10.29130/dubited.1022265.
Flying robots for a smarter life. Elsevier, SSRN Electronic Journal, 2023. doi: 10.1109/GPECOM55404.2022.9815769.
Voice Encryption Cryptosystem Using a Unified Hyper-Chaotic System Multimedia Tools and Applications; Journal, Springer, 2022, doi: 10.1007/s11042-022-13317-w.
Electricity-consuming forecasting by using a self-tuned ANN-based adaptable predictor. Electric power system research; Journal, Elsevier, 2022, doi:10.1016/j.epsr.2022.108134.
Smart prospects for solar-based cooling and heating systems in the Middle East and Turkey, IEEE,3rd International Conference on Smart Grid and Renewable Energy, 2022.
Advanced AI-based techniques to predict daily energy consumption: A case study Expert Systems with Applications, journal; Elsevier, 2021. doi: 10.1016/j.eswa.2021.115508
MARC: Mining Association Rules from Datasets by Using Clustering Models International Journal of Multidisciplinary Studies and Innovative Technologies. 2021
A new design of flying robot, for smart grid self-maintenance by using advanced computer vision techniques. Journal of King Saud University; Elsevier, doi: 10.1016/j.jksuci.2020.07.009, 2020
A New Chaos-Based-Cryptosystem for Voice Encryption. IEEE, 3rd International Conference on Signal Processing and Information Security (ICSPIS), doi:10.1109/ICSPIS51252.2020.9340132.
Iris segmentation-based technique to recognize the behavior of a vigilant driver. IEE, International Conference on Advances in the Emerging Computing Technologies (AECT 2019), doi: 10.1109/AECT47998.2020.9194159.
FPGA-Based Multi-Heart Diseases Classification System with the Aid of LabVIEW 2nd International Symposium on Multidisciplinary Studies and Innovative Technologies. (ISMSIT 2018), Ankara, (Turkey). doi: 10.1109/ISMSIT.2018.8567057.
Optimal fusion of multiple GNSS signals against spoofing sources. Turkish Journal of electrical engineering & computer sciences. July 2017. doi: 10.3906/elk-1604-123.

Dr. Mohammad Faisal Naji

Assistant Professor

Dr. Mohammad Faisal Naji

Assistant Professor

Dr. Mohammad Faisal Naji is an assistant professor in the department of CSE at the Kuwait College of Science and Technology, Kuwait. Dr. Mohammed received his MS and Ph.D degrees from King Saud University in 20012 and 2016 respectively. Dr. Mohammad worked as an assistant professor and supervisor of the Innovation and Entrepreneurship Unit at the college of applied computer sciences, King Saud University, Saudi Arabia. Dr. Mohammed is also an artificial intelligence and robotics consultant at the Artificial Intelligence Center of Advanced Studies (Thakaa), and the Center of Smart Robotics Research (SC2R), King Saud University. Dr. Mohammed won the President of the Republic of Yemen Youth Award for the Applied Sciences Branch for the year 2013, as well as many scientific and research awards and medals. Dr. Mohammed’s research is currently focusing on the use of robots and artificial intelligence to improve the quality of life and find innovative solutions. Dr. Mohammed was involved in more than 13 scientific-funded projects and has published more than 60 research articles, books, and patents.

RECENT PUBLICATIONS (Since 2018)

ISI Journal

1. Muneer Al-Hammadi, Mohamed A. Bencherif, Mansour Alsulaiman, Ghulam Muhammad, Mo-hamed Amine Mekhtiche , Wadood Abdul, Yousef A. Alohali , Tareq S. Alrayes, Hassan Mathkour, M. Faisal, Mohammed Algabri, Hamdi Altaheri, Taha Alfakih and Hamid Ghaleb,”Spatial Attention-Based 3D Graph Convolutional Neural Net-work for Sign Language Recognition,” Sensors 2022, 22, 4558.
2. Fahad Albogamy, M. Faisal, M. Arafah, and Hebah ElGibreen, “Covid-19 symptoms periods detection using transfer-learning techniques,” Intelligent Automation & Soft Computing, 2022, (ISI Journal).
3. Al-Qershi, Fattoh, Muhammad Al-Qurishi, Mehmet Sabih Aksoy, M. Faisal, and Mohammed Algabri. "A Time-Series-Based New Behavior Trace Model for Crowd Workers That Ensures Quality Annotation," Sensors 21, no. 15 (2021): 5007.
4. Hebah ElGibreen, M. Faisal, Mansour Al Sulaiman, Sherif Abdou, Ghulam Muhammad, Mohsen Rashwan, Wadood Abdul, Yousef Alohali and, M. Bencherrif, “Large and Contemporary Saudi Corpus: An Incremental Approach for Corpus Design and Construction,“ IEEE Access, doi: 10.1109/ACCESS.2021.3089924, 2021 (ISI Journal).
5. M. Faisal, Fahad Albogamy, Hebah ElGibreen, Syed Ahad M. Alvi, Mohammed Algabri, and Mansour Alsulaiman, “COVID-19 Diagnosis Using Transfer-Learning Techniques,” Intelligent Automation & Soft Computing, 2021, (ISI Journal).
6. Fahad Albogamy, Turk Alotaibi, Ghalib Alhawdan, and M. Faisal,”SRAVIP: Smart Robot Assistant for Visually Impaired Persons”, (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 12, No. 7, 2021 (ISI Journal).
7. M. Faisal, and Fahad Albogamy, “Enhancement of Ant Colony Optimization for Shortest Path Problem”, IET Computer & Digital Techniques, 2020 (ISI Journal, under review).
8. Hamdi Altaheri; Ghulam Muhammad, Ph. D.; Mansour Alsulaiman, Ph.D.; Syed Umar Amin; Ghadir Ali Altuwaijri; Wadood Abdul; Mohamed A. Bencherif; M. Faisal, “Deep Learning Techniques for Classification of Electroencephalogram (EEG) Motor Imagery (MI) Signals: a review”, Neural Computing and Applications, 2021, (ISI Journal).
9. Mohamed A. Bencherif, Mohammed Algabri, Mohamed Mekhtiche, M. Faisal, Mansour Alsulaiman, Hassan Mathkour, Hamid Ghaleb, “Arabic Sign Language Recognition System using 2D Hands and Body Skeleton Data”, IEEE Access, doi: 10.1109/ACCESS.2021.3069714.2021, (ISI Journal).
10. Wadood Abdul1, Mansour Alsulaiman , Syed Umar Amin , Mohammed Faisal, Ghulam Muhammad, Fahad Albogamy , Mohamed Bencherif , Hamid Ghaleb,” Intelligent Real-time Arabic Sign Language Classification using Attention based Inception and BiLSTM”, Computers and Electrical Engineering, 2021, (ISI Journal, Accepted).
11. M. Faisal, Fahad Albogamy, Hebah Elgibreen, Mohammed Algabri, and Fattoh Alqershi, " Deep Learning and Computer Vision for Estimating Date Fruits Type, Maturity Level, and Weight," (IEEE Access, 2020 Nov 1, doi: 10.1109/ACCESS.2020.3037948).
12. M. Faisal, M. Alsulaiman, M. Arafah and M. Mekhtiche, "IHDS: Intelligent Harvesting Decision System for Date Fruit Based on Maturity Stage Using Deep Learning and Computer Vision," IEEE Access, 8, 167985-167997, doi: 10.1109/ACCESS.2020.3023894.
13. Habib Dhahri, Eslam almaghayreh, Awais Mahmood, Wail Elkilani and M. Faisal "Automated Breast Cancer Diagnosis Based on Machine Learning Algorithms," Journal of Healthcare Engineering, 2019 (ISI Journal).
14. Awais Mahmood, Ghulam Muhammad, Mansour Alsulaiman, Habib Dhahri, Esam Othman, and M. Faisal, ”Moving average multi directional local features for speaker recognition,” Cluster Computing, 2019 (ISI Journal).
15. Mohammed Arafah , Hanan Alhindi, Hassan Mathkour , M. Faisal, and Miltiadis D. Lytras, "Smart Systems Approach for Development of Explicit Congestion Marking and Traffic Engineering Model for Diffserv/MPLS Networks," Ambient Intelligence and Humanized, 2018 (ISI Journal).
16. M. Faisal, H. Mathkour, M. Alsulaiman," I3MS: Intelligent Multi-sensors Multi-Baseline Mapping System", IEEE ACCESS, 2018. (ISI Journal).

Conferences

1. M. Faisal, Fahad Alzamil, Mohammed Alajaj, Musaad Alshaqran, and Fahad Alateeq,” Automatic COVID-19 Diagnostic and Classification Intelligent System (ACDCIS) ,” 2022 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA 2022), June 24-26, 2022 (Dalian, China).
2. M. Faisal, Chibli Joumaa,Yousef Alswailem, Abdulrahman Alobthani, and Rayan Albusilan, " Machine Learning-based System for Monitoring Social Distancing and Mask Wearing,” IEEE World AI IoT Congress 2022, Seattle, USA, 6-9 june, 2022.
3. M. Faisal, and Hebah ElGibreen. " Adaptive Self-Localization System for Low-cost Autonomous Robot." 2021 7th International Conference on Control, Automation and Robotics (ICCAR). IEEE, 2021.
4. M. Faisal, Mohammed Algabri, and Mohamed Amine Mekhtiche. "Smart and Fully Functional Mobile-Robot Navigation System." 2021 7th International Conference on Control, Automation and Robotics (ICCAR). IEEE, 2021.
5. M. Faisal, Mohammed Algabri, and M.Mekhtiche,, “Smart and Fully Functional Mobile-Robot Navigation System,” 2021 7th International Conference on Control, Automation and Robotics (ICCAR).
6. M. Faisal, Mohammed Algabri, and Mohamed Bencherif,, “2BEDM: Brightness-Based Enhancement for Disparity Maps,” IEEE-11th International Conference on Information Science and Technology, Chengdu, Sichuan, 2021, Accepted.
7. M.Mekhtiche M. Bencherrif, M. Faisal , H. Ghalab, “Multi-Baseline Stereo Vision For Position And Size Estimation,” IEE-18th Conference on Robots And Vision, Burnaby, British Columbia, 2021, under review.
8. M. Faisal,” We See You: Terrorist Prediction Framework through his Psychological and Social Behaviors," (ISMCI 2020) 7th International Conference on Soft Computing and Machine Intelligence”, Stockholm, Sweden, Nov 14-15, 2020, pp. 204-212, doi: 10.1109/ISCMI51676.2020.9311565.
9. M. Faisal, "Robot for Indoor Air Pollution Sensing, Mapping, and Purification", Saudi Robotics Conference Exhibition, Jubail Industrial City Royal, Kingdom of Saudi Arabia, 25-27 March 2019.

Mr. Abdalla Mohamud

Lecturer

Mr. Abdalla Mohamud

Lecturer

Mr. Abdalla Abbi is a university lecturer at Kuwait College of Science and Technology – KCST. Formerly, he was working as a teaching assistant at Kuwait University. He has graduated from Kuwait University with an MSc in Computer Engineering. His master research titled: “Conceptual Description of Simple Mail Transfer Protocol” was published in the SCOPUS journal. He is a big advocate and a user for open source projects like Python and its frameworks. Currently, he's following up with the most recent news about cloud infrastructures and their developments as he is a certified oracle cloud infrastructure architect. When he’s not teaching, he is into sports like jogging or football.

Mr. Tariq Mohedat

Lecturer

Mr. Tariq Mohedat

Lecturer

Mr. Tariq Mohedat is a Lecturer in the CSE Department at Kuwait College of Science and Technology (KCST) since 2018. He received a Bachelor Degree in Computer Science at Yarmouk University - 2004 Irbid – Jordan, and Master Degree in Computer Information Systems at Yarmouk University - 2010 Irbid – Jordan. He held several positions starting as Computer Teacher at MOE –Jordan, lecturer at GUST 2015 – 2018, Lecturer (Part Time) at Al-Balqaa' Applied University-Al Huson College (Jordan) 2010– 2011.Assistant researcher and teaching Al-Yarmouk University (Jordan)-2006–2007.Working as Trainer of Trainee (TOT) in the

USAID Programs (Jordan), CCNA V7: Introduction to Network by Cisco Netacad Academy 6-20 JUN 2020, ICDL and Cambridge quartermaster trainer for the Ministry of Education at Jordan Since 2005 - 2014. Training courses for Educational Reform Support Program (ERSP) including three stages under sponsorship of USAID, the ministry of education (Jordan). HE had Honours and awards in Africa & Arab Collegiate Programming Championship (ACPC) September 2019. Judgement committee in the GIF Mekathon KCST- Kuwait Nov-2018. His research interests in “Data Mining for Intrusion detection field Combining data mining and estimation by analogy for software effort estimation”.

RESEARCH AREAS

Software engineering
Data Mining for Intrusion detection.

Mr. Farid Ahmed Jradi

Lecturer

Mr. Farid Ahmed Jradi

Lecturer

Mr. Farid Jradi is a full time Lecturer in the Department of Computer Science and Engineering at Kuwait College of Science and Technology (KCST) , where he has been since June 2022. From 2002 to 2022 he served as a full time Lecturer in the Department of Computer Studies at Arab Open University, Kuwait. He received a B.E. in Computer and Communication Engineering from American University of Beirut (AUB), Lebanon 1990, and a MSc. In Computer Engineering from Kuwait University, Kuwait, 2000.

RESEARCH AREAS

Image processing for hyperspectral satellite imagery
Biometrics
Remote Sensing

Ms. Priya Babu

Teaching Assistant

Ms. Priya Babu

Teaching Assistant

Ms. Priya Nikhil is currently a Teaching Assistant in KCST holds MTech in Computer science & Engineering and MSc in Information Technology. She has more than five years of teaching experience aspires to commence her PhD emphasized on data science and machine learning .She has attended workshops on digital marketing & Network simulation tools .She has published papers in the field of data science and analysis and pursuing further research in the same .

RECENT PUBLICATIONS (SINCE 2015)

Personal web revisitation by context and content keywords(Authors:Priya.c.s, Liya.V.S, Published inVolume5 Issue3March2018) (ISSN:2349-5162)
DetectingPlagiarismandTextSummarisation(Priya.c.s&ShimaVijayanVolume5 Issue3 JETIR March 2018, ISSN2349-5162
A frame work to recommend documents from conversations (Priya.c.s & Vidya Vijayan,in VISTASVol6No:12017pp57-60,ISSN-2319-5770,cISSN2394-1138)

Ms. Lekshmi Devi

Teaching Assistant

Ms. Lekshmi Devi

Teaching Assistant

Ms. Lekshmi Devi received her Master’s degree, from University of Kerala with specialization in Computer Science and Engineering and earned Bachelor’s degree, in Computer Science and Engineering from Cochin University of Science and Technology. Prior to joining the University she worked as a Teaching Assistant in University of Kerala. She was a recipient of Ministry of Human Resource Development, Government of India scholarship. She has qualified in Graduate Aptitude Test in Engineering (GATE) exam conducted by Indian Institutes of Technology (IIT). Her research interests are broadly in the areas Machine Learning, Computer Vision and Data Mining.

RESEARCH AREAS

Data Mining and Knowledge Discovery
Machine Learning
Neural Networks
Pattern Recognition
Image Processing
Information Extraction / Retrieval

RECENT PUBLICATIONS (SINCE 2015)

Lekshmi V L , Ansamma John, “Bridging the Semantic Gap in Image Search via Visual Semantic Descriptors by Integrating Text and Visual Features” , Advances in Intelligent Systems and Computing: Springer, Vol 412, ISBN 978-981-10-0250-2, January 2016.

CONFERENCE PRESENTATIONS

Lekshmi V L, Bridging the Semantic Gap in Image Search via Visual Semantic Descriptors, ICC3 2015- 3rd International Conference on Computational Intelligence, Cyber Security & Computational Models, India, December 2015

Mouna Ali

Teaching Assistant

Mouna Ali

Teaching Assistant

Ms Mouna Abdallah Ali is a Teaching Assistant in the department of Computer Science & Engineering at KCST. She graduated from Kuwait University with MSc in Computer Engineering. Her master’s thesis was about maximizing the revenue using relative cost concept in optical networks. Miss Mouna has a teaching experience that exceeds 8 years as she was a computer teacher at the ministry of education since 2014. She is focusing now on web developing and designing in addition to AI and Data Science.

Eng. Maha Alsayed

Teaching Assistant

Eng. Maha Alsayed

Teaching Assistant

Ms. Maha Alsayed is a Teaching Assistant in the Computer Science and Engineering (CSE) Department at Kuwait College of Science and Technology (KCST). She earned her bachelor’s and master’s degrees in Computer Engineering from Kuwait University. She has more than 15 years of experience working at Kuwait University, during which she was responsible for teaching many courses, handling various administrative committees, and participating in organizing several conferences and training sessions. She has also attended many workshops and training sessions such as CCNA, CompTIA Network+ and Security+, and was certified as Microsoft Office Master, Microsoft Application Specialist and IC3 Expert. Her research areas are Digital Logic Design and Implementation using FPGAs, Programming, Artificial Intelligence and Machine Learning, Mobile Applications and Web Development

Ms. Zainab Abouelhassan

Lab Assistant

Ms. Zainab Abouelhassan

Lab Assistant

Zainab Abouelhassan obtained her bachelor’s degree in Computer engineering from Kuwait college of science and Technology. Zainab graduated in spring 2021 and was given a Lab Assistant position in Computer and Engineering Department at KCST in May 2021. She was so active during her years of studies. She was the vice president of the YES club and she was a part of many competitions. Zainab was a part of the Nanotechnology research group with Dr Nader at the university, and they had a paper published together. She won first place in the Huawei seeds for the future program and a trip to China is waiting for her. She started to work at KCST after her recognized performance during her studies. During her last year of studies, she took a training program in Odoo development in one of the companies and worked there for 5 months before she comes back to the university and works as a lab assistant. Zainab Abu Alhassan considers herself lucky for getting the opportunity to work at her beloved university KCST. Her research interests are in Machine learning, Wireless communication and Nanotechnology.

RECENT PUBLICATIONS (SINCE 2015)

Abu Alhassan, Zainab et al. ‘Polyvinylidene Difluoride Piezoelectric Electrospan Nanofibers: Review in Synthesis, Fabrications, Characterizations, and Applications, Journal of Nanomaterials, Vol 2018, Article ID 8164185, 12 pages, http://doi.org/10.1155/2018/8164185

Ms Hajar Alsulaili

Lab Assistant

Ms Hajar Alsulaili

Lab Assistant

Hajar Alsulaili graduated from Kuwait College of Science and Technology in spring 2023 with a degree in Computer Engineering. She served as the SSC's social media manager and event organizer during her college years. Additionally, she held the prestigious positions of president of the art club and member of the hacker club. In addition to orchestrating exciting college events, Hajar contributed to organizing the 2nd annual cybersecurity week as a volunteer. In October 2023, she began her career as a Lab Assistant in the Computer Sciences and Engineering Department at KCST.

Ms Alyamama Alshammari

Lab Assistant

Ms Alyamama Alshammari

Lab Assistant

Alyamama Al-Shammari obtained a bachelor’s degree in computer engineering from Kuwait College of Science and Technology in June 2023. She distinguished herself as an active member of the college, participating in various clubs and scientific activities.

Alyamama possesses diverse skills in the field of computer engineering and has received specialized training in designing websites and computer and mobile applications. Furthermore, she has valuable experience in dealing with cybersecurity issues and ensuring cyber safety.

Based on her expertise and knowledge in the field of cybersecurity, Alyamama was appointed to the position of Lab Assisistant in Computer science and Engineering Department in Kuwait College of Science and Technology in October 2023. She constantly strives for development and innovation in her field, with a strong ambition to contribute to enhancing information and technology security.

Mr Eissa Wadaan

Lab Assistant

Mr Eissa Wadaan

Lab Assistant

Eissa Wadaan joined the Kuwait College of Science and Technology (KCST) in 2017 as a student to pursue a Bachelor's degree in Computer Engineering. He successfully graduated in 2022. In October 2023, Mr. Eissa joined KCST as a Lab assistant in the department of Computer Science & Engineering. His main area of interest lies in the field of cybersecurity. Mr. Eissa was an active student during his time at KCST and played a key role in founding the programming club. Additionally, he was the founder of the gaming club at KCST.