Research Interest

We have a group of professors who have contributed important research in various fields

PROF. MOSTAFA I.SOLIMAN

Mostafa I. Soliman is a Professor of Computer Engineering (Computer Architecture and Parallel Processing) at E-JUST. He is the general director of Computer Science and Information Technology (CSIT) Programs. He received a B.Sc. in Electrical Engineering (Computer Engineering Major, 1994) and a M.Sc. in Computer Science and Engineering (1998) from Assiut University, Egypt. His Ph.D. is in Computer Science and Engineering (2004) from Aizu University, Japan. He published 70 papers in computer science and engineering fields.

His Research Areas include High-Performance Computation, Computer Architecture, Parallel Processing, Matrix/Vector Computation, Parallel Algorithms, Supercomputer Processor Architecture, Performance Evaluation of Parallel Architectures, Multi-Core/Many-Core Processors, Hardware Visualization, and FPGA/SystemC Implementation.

Undergraduate/Postgraduate Courses He Taught include Digital Design, Computer Organization, Computer Architecture, Microprocessors, Embedded Systems, Operating System Concepts, Assembly Language, C++ Programming Language, C# Programming Language, Visual Basic Programming Language, Introduction to Computers, Advanced Computer Applications, Superscalar Processors, Supercomputers and Vector Processing, Advanced Computer Architecture, Digital Design (Advanced Course), VHDL (Hardware Description Language), SystemC (System Modeling Language), and Multi-Core/Multi-Thread Computing.

Best TEN Publications

  1. Mostafa Abbas, Mostafa I. Soliman, Sherif I. Rabia, Keiji Kimura, and Ahmed El-Mahdy “Accelerating Data Dependence Profiling through Abstract Interpretation of Loop Instructions,” Submitted in IEEE ACCESS, ISSN 2169-3536, (IF = 3.367)
  2. Mostafa I. Soliman and Elsayed A. Elsayed, “Simple Super-Matrix Processor: Implementation and Performance Evaluation,” Journal of Parallel and Distributed Computing (JPDC), Elsevier Publisher, ISSN: 0743-7315, Vol. 83, No. 9, September 2015, pp. 96-118, DOI: 1016/j.jpdc.2015.06.001. (IF = 3.734).
  3. Mostafa I. Soliman and Elsayed A. Elsayed, “Simultaneous Multithreaded Matrix Processor,” Journal of Circuits, Systems, and Computers (JCSC), World Scientific Publishing, ISSN: 0218-1266, Vol. 24, No. 8, September 2015, pp. 1-22, DOI: 1142/S0218126615501145, (IF = 1.333).
  4. Mostafa I. Soliman, “Merging VLIW and Vector Processing Techniques for a Simple, High-Performance Processor Architecture,” Microelectronics Journal, Elsevier Publisher, ISSN: 0026-2692, Vol. 46, No. 7, July 2015, pp. 637-655, DOI: 1016/j.mejo.2015.03.012, (IF = 1.605).
  5. Mostafa I. Soliman and Abdulmajid F. Al-Junaid, “A Shared Matrix Unit for a Chip Multi-Core Processor,” Journal of Parallel and Distributed Computing (JPDC), Elsevier Publisher, ISSN: 0743-7315, Vol. 73, No. 8, August 2013, pp. 1146-1156, DOI: 1016/j.jpdc.2013.03.004, (IF = 3.734).
  6. Mostafa I. Soliman, “Design, Implementation, and Evaluation of a Low-complexity Vector-core for Executing Scalar/Vector Instructions,” Journal of Parallel and Distributed Computing (JPDC), Elsevier Publisher, ISSN: 0743-7315, Vol. 73, No. 6, June 2013, pp. 836-850, DOI: 1016/j.jpdc.2013.02.003, (IF = 3.734).
  7. Mostafa I. Soliman and Ghada Y. Abozaid, “FPGA Implementation and Performance Evaluation of a High Throughput Crypto Coprocessor,” Journal of Parallel and Distributed Computing (JPDC), Elsevier Publisher, ISSN: 0743-7315, Vol. 71, No. 8, August 2011, pp. 1075-1084, DOI: 1016/j.jpdc.2011.04.006, (IF = 3.734).
  8. Mostafa I. Soliman and Abdulmajid F. Al-Junaid, “SystemC Implementation and Performance Evaluation of a Decoupled General-Purpose Matrix Processor,” Parallel Processing Letter (PPL), World Scientific Publishing Company, ISSN: 0129-6264, Vol. 20, No. 2, June 2010, pp. 103-121,DOI: 10.1142/S0129626410000090,
    (IF = 0.906).
  9. Mostafa I. Soliman and Samir A. Mohamed, “A Highly Efficient Implementation of a Backpropagation Learning Algorithm Using Matrix ISA,”Journal of Parallel and Distributed Computing (JPDC), Elsevier Publisher, ISSN: 0743-7315, Vol. 68, No. 7, July 2008, pp. 949-961, DOI: 10.1016/j.jpdc.2007.12.004, (IF = 3.734).
  10. Mostafa I. Soliman and Stanislav G. Sedukhin, “Technology Scalable Matrix Architecture for Data Parallel Applications,” IEICE Transactions on Information and Systems, Online ISSN 1745-1361 - Print ISSN 0916-8532, Vol. E86-D, No. 9, September 2003, pp. 1549-1559, (IF = 0.449).
Dr Samir ElSagheer

Dr. Samir A. Elsagheer Mohamed obtained his B.Sc. degree from the Faculty of Engineering at the University of Assuit, Egypt, in May 1994. He obtained M.Sc. and Ph.D. degrees in Computer Science and Engineering from the University of Rennes I, France, in 1998 and 2003, respectively. He worked as R&D Expert Engineer in INRA/IRISA, France after graduation. Then he joined the Faculty of Engineering, Aswan University as Assistant Professor. After that, he joined the College of Computer, Qassim University as Assistant Professor from 2006 to 2013. He was promoted to Associate professor and continue working with Qassim University till Aug. 2019. Finally, he joined the Egypt-Japan University for Science and Technology in Sept. 2019. He was in charge of the IT center and the Data Center as well as teaching and research till Jan. 2022. His research interests are in Cybersecurity, Network Security, Security on the Internet of Vehicles, Anti-phishing techniques, Wireless Ad hoc Networks, and Wireless Sensor Networks, Modern Technologies for the Holy Quran Services, Anti-Spam fighting and filtering, Traffic safety and optimization, Street Lights optimization and control, Vehicular Ad hoc Networks (VANET), bioinformatics, audio and video quality assessment in packet networks, neural networks training, traffic prediction, and video
coding. He has got 13 grants for research projects in different areas and from different grantors.

Best TEN Publications

Samir Ahmed. Elsagheer. Automatic speed limit violation detection, reporting and dynamic fine calculation system using the Internet of Vehicles technology, Egyptian Patent Office, 2021

Selected Journal Papers

  1. Samir A. Elsagheer Mohamed, et al. Safe Driving Distance and Speed for Collision Avoidance in Connected Vehicles, Sensors, 2022, vol 22, no. 18. (IF: 3.85)
  2. Samir A. Elsagheer Mohamed, Khaled A. AlShalfan, "Intelligent Traffic Management System Based on the Internet of Vehicles (IoV)", Journal of Advanced Transportation, vol. 2021, 2021. https://doi.org/10.1155/2021/4037533. (IF 2.249).
  3. Samir A. Elsagheer Mohamed, et al., "Autonomous Real-Time Speed-Limit Violation Detection and Reporting Systems Based on the Internet of Vehicles (IoV)", Journal of Advanced Transportation, vol. 2021, 2021. https://doi.org/10.1155/2021/9888789 (IF 2.249).
  4. Samir A. Elsagheer Mohamed. "Secure Position Verification Approach for Wireless Ad-hoc Networks", International Journal of Network Security (IJNS), Vol. 15, No. 1, 2013, pp. 248-255. Impact Factor: 1.3921 (2012).
  5. Samir A. Elsagheer Mohamed. "Efficient Spam Filtering System based on Smart Cooperative Subjective and Objective Methods". International Journal of Communications, Network and System Sciences, pp. 88-99, 2013. doi: 10.4236/ijcns.2013.62011
  6. Samir A. Elsagheer Mohamed. Smart Street Lighting Control and Monitoring System for Electrical Power Saving by Using VANET. International Journal of Communications, Network and System Sciences, vol. 6, no. 8, 2013 doi: 4236/ijcns.2013.68038
  7. Samir A. Elsagheer Mohamed, "A Solution for Fighting Spammer's Resources and Minimizing the Impact of Spam," Int'l J. of Communications, Network and System Sciences, Vol. 5 No. 7, 2012, pp. 416-422. doi: 10.4236/ijcns.2012.57051.
  8. Samir A. Elsagheer Mohamed, A. Naser, G.A. Ansari. Precise Positioning Systems for Vehicular Ad-hoc Networks. International Journal of Wireless & Mobile Networks (IJWMN), Vol 4, No 2, 2012; doi: 10.5121/ijwmn.2012.4217
  9. Sebastian Basterrech; Samir Mohammed; Gerardo Rubino; Mostafa Soliman. Levenberg--Marquardt Training Algorithms for Random Neural Network. In the Oxford Computer Journal 2009; 54 (1): 125-135 doi: 10.1093/comjnl/bxp101, ISI impact factor: 1.394.
  10. Mostafa I. Soliman, Samir A. Mohamed, “A highly efficient implementation of a backpropagation learning algorithm using matrix ISA”. In the Journal of Parallel and Distributed Computing, Vol. 68, no. 7, 949-961 , Elsevier, 2008. doi: 10.1016/j.jpdc.2007.12.004, ISI impact factor: 1.116
Dr Ahmed Anter

Dr. Ahmed M. Anter is an Associate Professor of Computer Science at the Computer Science and Information Technology, Egypt-Japan University of Science and Technology, Egypt. Anter is also with the Computers and Artificial Intelligence, Beni-suef University, Egypt. Anter received M.Sc. and Ph.D. degrees in computer science from the Faculty of Computer Science and Information Systems, Mansoura University, in 2010 and 2016, respectively. From 2006 to 2010, he was a team leader of software development at CITC, Mansoura University, and from 2011 to 2014, he was a lecturer at the Faculty of Computer Science and Information Systems, Jazan University, Saudi Arabia. Also, Anter joined Shenzhen University as a post-doctoral fellow with the School of Biomedical Engineering, China, from 2018–2021. He has a good publication record with over 55 scientific research publications and serves as a reviewer for various international journals and conferences. Also, Anter serves as academic editor for prestigious journals. His main research interests include pattern recognition and intelligent systems, machine learning, medical image processing, meta-heuristics, optimization, neuroscience, and fuzzy systems.

Best TEN Publications

  1. Ahmed M. Anter*, & Abualigah, L. (2023). Deep Federated Machine Learning-Based Optimization Methods for Liver Tumor Diagnosis: A Review. Archives of Computational Methods in Engineering, 1-20, (IF:8.171). DOI: https://doi.org/10.1007/s11831-023-09901-4
  2. Ahmed M. Anter, Elnashar, H. S., & Zhang, Z.* (2022). QMVO-SCDL: A new regression model for fMRI pain decoding using quantum-behaved sparse dictionary learning. Knowledge-Based Systems, 252, 109323, (IF: 8.139).
  3. Ahmed M. Anter, Mohamed Abd Elaziz, & Zhang, Z.* (2022), Real-time Epileptic Seizure Recognition using Bayesian Genetic Whale Optimizer and Adaptive Machine Learning, Future Generation Computer Systems, 127, 426-434, (IF: 7.187).
  4. Ahmed M. Anter, Oliva, D., Thakare, A., & Zhang, Z.* (2021). AFCM-LSMA: New Intelligent Model based on Lévy Slime Mould Algorithm and Adaptive Fuzzy C-means for Identification of COVID-19 Infection from Chest X-ray Images. Advanced Engineering Informatics, 101317, (IF: 603).
  5. Hassan, A., Ahmed M. Anter*, & Kayed, M. (2021). A robust clustering approach for extending the lifetime of wireless sensor networks in an optimized manner with a novel fitness function. Sustainable Computing: Informatics and Systems, 30, 100482, (IF: 028).
  6. Lin, Q., Huang, G., Li, L., Zhang, L., Liang, Z., Ahmed M. Anter, & Zhang, Z.* (2021). Designing individual-specific and trial-specific models to accurately predict the intensity of nociceptive pain from single-trial fMRI responses. NeuroImage, 225, 117506, (IF: 556).
  7. Ahmed M. Anter, G. Huang, L. Li, L. Zhang, Z. Liang and Z. Zhang*, (2020). A new type of fuzzy rule-based system with chaotic swarm intelligence for multi-classification of pain perception from fMRI. IEEE Transactions on Fuzzy Systems, 28(6), pp. 1096 - 1109, (IF: 12.029).
  8. Ahmed M. Anter, Bhattacharyya, S., & Zhang, Z.* (2020). Multi-stage fuzzy swarm intelligence for automatic hepatic lesion segmentation from CT scans. Applied Soft Computing, 106677. (IF:725).
  9. Ahmed M. Anter, Moemen, Y. S., Darwish, A., & Hassanien, A. E. * (2020). Multi-target QSAR modelling of chemo-genomic data analysis based on Extreme Learning Machine. Knowledge-Based Systems, 188, 104977, (IF: 8.038).
  10. Ahmed M. Anter*, & Hassenian, A. E. (2019). CT liver tumor segmentation hybrid approach using neutrosophic sets, fast fuzzy c-means and adaptive watershed algorithm. Artificial Intelligence in Medicine, 97, 105-117, (IF: 5.326).
n.4 : The impact factor is (IF: 5.603) 
n.5 :  The impact factor is (IF: 4.028)
n.6 :  The impact factor is (IF: 6.556)
n.8 :  The impact factor is (IF: 6.725).
Dr AHMED BAYOMI

Ahmed B.ZAKY received his Ph.D. degree in computer science and engineering from Egypt-Japan University of Science and Technology, Egypt, in 2016. He has been a Postdoctoral Fellow with Shenzhen University, China from 2017 to 2019. He also holds the position of Assistant Professor with Benha University, Benha, Egypt. From 2016 to 2021 and Holds the position of Assistant Professor with Egypt Japan university of science and technology University, Borg El-Arab, Egypt. From 2022. His research interests include human behavior modeling, machine learning, and artificial intelligence.

Best TEN Publications

  1. Analysis of the Squat Exercise from Visual Data, 19 International Conference on

Informatics in Control, Automation and Robotics (ICINCO) fatma youssef, AB

zaky, W.Gomaa July 2022.

  1. Markov Switching Model for Driver Behavior Prediction: Use cases on Smartphones”

into the Recent Innovations in Artificial Intelligence and Smart Applications Book.

AB zaky, M.Abdelaziz, W.Gomaa 2022

  1. A robust Segmentation Model-based Fuzzy Swarm Intelligence and Logistic Chaotic

Map for Hepatic CT Focal Lesion Segmentation Ahmed M. Anter, Samir Elsaghier,

AB zaky- International Japan-Africa Conference on Electronics, Communications

and Computations 2022

  1. Deep Learning Based Resources Allocation for Internet-of-Things Deployment

Underlaying Cellular networks. Mobile Networks and Applications, Springer ISSN:1572-

  1. BM ElHalawany, K Wu, Ahmed B.Zaky, 2020
  2. GNRA: Generative Neural Network based Spectrum Sharing using Linear Sum

Assignment Problems. Ahmed B.Zaky, Joshua Zhexue Huang, Kaishun Wu and

Basem M.ElHalawany. IEEE China Communications 2019.

  1. Machine Learning based Dynamic Cooperative Transmission Framework for IoUT

Networks. Ahmad A. Elbanna, Ahmed B. Zaky, Joshua Zhexue Huang, and

Kaishun Wu. IEEE International Conference on Sensing, Communication and

Networking (secon) 2019. Boston, Massachusetts, USA.

  1. Machine Learning-Based Multi-Layer Multi-Hop Transmission Scheme for Dense

Networks.Ahmad A. Elbanna,Basem M.ElHalawany, Ahmed B. Zaky, Joshua Zhexue

Huang, and Kaishun Wu. IEEE Communications Letters 2019.

  1. Car Following Markov Regime Classification and Calibration. The 14th International

Conference on Machine Learning and Applications (IEEE ICMLA’15) Miami,

Florida, USA, December 2015. Ahmed .B Zaky, mohamed abd el aziz, W Gomaa

  1. Car Following Regime Taxonomy Based on Markov Switching. In Proc. of the

17th International IEEE Conference on Intelligent Transportation Systems (ITSC

2014), pages 1329-1334, Qingdao, China, October 8-11, 2014. Ahmed .B Zaky, W

Gomaa

  1. Tokyo virtual living lab: Designing smart cities based on the 3d internet, Internet

Computing, IEEE, vol. 17, pp. 3038, Nov 2013. H.Prendinger, K.Gajananan,Ahmed

B.Zaky, A.Fares, R.Molenaar, D.Urbano, H. van Lint, and W. Gomaa,

Dr WALEED EAD

Waleed M.Ead; has a Ph.D. and MSC in computers and artificial intelligence. He currently is assistant professor at Ejust CSIT. Waleed has +15 years’ experience in digital transformation and data analytics. He is the former general super visor of the artificial intelligence and intelligent system unit and the director of the SAS® Artificial intelligence lab. Waleed has many publications published in many ranked peer reviewed international journals and international conferences. He has many M.Sc. research students in data privacy and medicine gene personalization. His research interests in artificial intelligence, machine learning, data privacy and anonymization, gene analysis and bioinformatics.