Ms. Bassant Tolba | Wireless communication | Best Researcher Award.

Egypt-Japan University Science and Technology,Egypt

Professional Profiles:

👨‍🎓 Bio Summary:

Ms. Bassant Tolba is a Teaching Assistant and Ph.D. student in the Electrical and Communication Engineering department at Egypt-Japan University of Science and Technology (E-JUST). With over 6 years of experience, she specializes in machine learning (ML), wireless communication, cloud computing, meta-learning, service caching, and task offloading. Bassant excels in implementing effective ML projects at both local and global levels, with a strong focus on teaching, research, and reviewing research papers in data science and ML developments.

🎓 Education:

Ms. Bassant Tolba earned her B.Sc. in Electrical and Electronics Communications Engineering from the Faculty of Engineering, Alexandria University, with an overall grade of “Very Good with honors.” Her graduation project on Multimedia Communication (Image Processing Compression and Encryption) received a distinction with honors. She continued her academic journey at Egypt-Japan University of Science and Technology (E-JUST), where she completed her Master of Science in Electronics and Communication, focusing on wireless channel estimation and feedback using meta-learning techniques for vehicular networks. She is currently pursuing her Ph.D. at E-JUST, with a thesis titled “Multi-tier Communication and Multi-tier Computing in Edge Computing Networks.”

🔍 Research Focus:

Bassant’s research interests encompass a wide array of topics, including machine learning, wireless communication, cloud computing, meta-learning, service caching, and task offloading. Her work primarily focuses on developing and implementing machine learning frameworks to enhance communication systems and network performance. Notably, she has proposed frameworks based on generative adversarial neural networks and meta-learning to address challenges in channel state information feedback and system accuracy.

🏆 Honors & Awards:

Throughout her academic and professional journey, Bassant has been recognized for her contributions to the field. She has published a Q1 journal paper with an impact factor of 4 and presented her research at various conferences. Her dedication and excellence in her research and academic pursuits have earned her accolades and respect in the academic community.

Professional Experience: 💼

Bassant’s professional experience includes roles as a Research Assistant at the National Telecom Regulatory Authority (NTRA) from July 2018 to July 2020, where she implemented a machine learning core in heterogeneous cell systems and proposed a framework to solve challenges in channel state information feedback. From August 2020 to July 2021, she served as a Research Assistant at the Information Technology Industry Development Agency (ITIDA), where she developed a meta-learning framework to improve communication system accuracy. Since September 2019, she has been a Teaching Assistant at E-JUST, assisting in classroom management, lesson delivery, and tutoring students.

📚 Top Noted Publications :

Massive MIMO CSI Feedback Based on Generative Adversarial Network

Authors: B. Tolba, M. Elsabrouty, M. G. Abdu-Aguye, H. Gacanin, H. M. Kasem

Published: 2020

Journal: IEEE Communications Letters, Volume 24, Issue 12, Pages 2805-2808

Citations: 35

Index: Q1 Journal

A Meta Learner Autoencoder for Channel State Information Feedback in Massive MIMO Systems

Authors: B. Tolba, A. H. Abd El-Malek, M. Abo-Zahhad, M. Elsabrouty

Published: 2021

Conference: 28th International Conference on Telecommunications (ICT), Pages 1-5

Citations: 4

Index: Conference Paper

Joint User Association, Service Caching, and Task Offloading in Multi-tier Communication/Multi-tier Edge Computing Heterogeneous Networks

Authors: B. Tolba, M. Abo-Zahhad, M. Elsabrouty, A. Uchiyama, A. H. Abd El-Malek

Published: 2024

Journal: Ad Hoc Networks, Volume 160, Article 103500

Index: Journal Paper

Meta-transfer Learning for Super-Resolution Channel Estimation

Authors: B. Tolba, A. H. A. El-Malek, M. Abo-Zahhad, M. Elsabrouty

Published: 2023

Journal: Journal of Ambient Intelligence and Humanized Computing, Volume 14, Issue 3, Pages 2993-3001

Meta-transfer Learning for Massive MIMO Channel Estimation for Millimeter-Wave Outdoor Vehicular Environments

Authors: B. Tolba, A.H. Abd El-Malek, M. Abo-Zahhad, M. Elsabrouty

Year of Publication: 2023

Conference: 2023 IEEE 20th Consumer Communications & Networking Conference (CCNC)

Pages: 535-540

Author Metrics 📊 :

Bassant’s publications have been well-received in the academic community, reflecting her research’s significance and impact. Her contributions to the field of machine learning and wireless communication are evidenced by her publication metrics and the recognition she has received from peers and institutions.

📅 Research Timeline:

July 2018 – July 2020: Research Assistant at National Telecom Regulatory Authority (NTRA)

August 2020 – July 2021: Research Assistant at Information Technology Industry Development Agency (ITIDA)

September 2019 – Present: Teaching Assistant at Egypt-Japan University of Science and Technology (E-JUST)

April 2021 – Present: Ph.D. student at Electronics and Communication Department, E-JUST

👨‍🎓 Bio Summary:

Dr. Bilel Marzouki is a seasoned professional with a Doctorate in Computer Science from the Ecole Nationale des Sciences de l’Informatique (ENSI), specializing in solving complex scheduling problems. His research focuses on developing innovative algorithms and models for optimizing job scheduling in distributed environments

🎓 Education:

Dr. Marzouki holds a Doctorate in Computer Science, a Master’s degree in Business Intelligence and Intelligent Systems, and a Bachelor’s degree in Management Informatics.

🔍 Research Focus:

His research primarily revolves around addressing challenges in scheduling and optimization, particularly in the context of flexible job shop scheduling problems. Dr. Marzouki has made significant contributions to the field by developing novel algorithms and metaheuristic approaches to improve scheduling efficiency.

🏆 Honors & Awards:

Dr. Marzouki has received recognition for his academic and research achievements, including a notable H-index of 5 and an I10-index of 5, reflecting the impact of his work in the academic community.

Professional Experience: 💼

With extensive experience in academia, Dr. Marzouki has served in various capacities, including as a Responsible for the Business Computing program at Esprit School of Business, where he oversees curriculum development, accreditation, and student mentoring. He has also held teaching positions at both Esprit School of Business and the Faculty of Sciences in Tunis.

📚 Top Noted Publications :

Title: Solving distributed and flexible job shop scheduling problem using a chemical reaction optimization metaheuristic

Authors: B. Marzouki, O.B. Driss, K. Ghédira

Published in: Procedia Computer Science, Volume 126, Pages 1424-1433, 2018

Citations: 35

Title: Multi-agent model based on chemical reaction optimization with greedy algorithm for flexible job shop scheduling problem

Authors: B. Marzouki, O.B. Driss, K. Ghédira

Published in: Procedia Computer Science, Volume 112, Pages 81-90, 2017

Citations: 32

Title: Multi-agent model based on combination of chemical reaction optimization metaheuristic with Tabu search for flexible job shop scheduling problem

Authors: B. Marzouki, O.B. Driss, K. Ghédira

Published in: International Journal of Intelligent Engineering Informatics, Volume 6, Issue 3-4, Pages 242-265, 2018

Citations: 20

Title: Multi-agent model based on chemical reaction optimization for flexible job shop problem

Authors: B. Marzouki, O. Belkahla Driss

Published in: Computational Collective Intelligence: 7th International Conference, ICCCI …, 2015

Citations: 16

Title: Decentralized Tabu searches in multi agent system for distributed and flexible job shop scheduling problem

Authors: B. Marzouki, O.B. Driss, K. Ghédira

Published in: 2017 IEEE/ACS 14th International Conference on Computer Systems and …, 2017

Citations: 13

Author Metrics 📊 :

His research contributions are reflected in his author metrics, including an H-index of 5, indicative of the impact and citation of his work within the academic community.

📅 Research Timeline:

Dr. Marzouki’s research journey spans several years, marked by a progression from his doctoral studies to his current role as a leading figure in the field of scheduling optimization. He has consistently demonstrated a commitment to advancing knowledge and solving real-world problems through his research endeavors.