Prof Jumin Zhao | Internet of things | Best Researcher Award |

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Prof. Jumin Zhao | Internet of things | Best Researcher Award.

Taiyuan university of technology,China

Professional Profiles:

SCOPUS

👨‍🎓 Bio Summary:

Prof. Jumin Zhao is a distinguished academic at Taiyuan University of Technology, serving as a professor at the College of Electronic Information and Optical Engineering and as the director of the Key Laboratory of Big Data Fusion Analysis and Application of Shanxi Province. Her extensive research interests encompass intelligent perception and Internet of Things (IoT) technology. A senior member of the China Computer Federation (CCF) and deputy secretary general of the Taiyuan Branch of the Association for Computing Machinery (ACM), she has made significant contributions to her field through numerous projects, patents, and publications.

🎓 Education:

Prof. Zhao earned her Ph.D. from Taiyuan University of Technology in 2008, marking the beginning of her illustrious career in electronic information and optical engineering.

🔍 Research Focus:

Her primary research areas include intelligent perception and IoT technology, where she has driven forward innovative solutions and applications that bridge the gap between theoretical research and practical implementations.

🏆 Honors & Awards:

Prof. Zhao has been recognized for her contributions with numerous awards and honors at both national and provincial levels, celebrating her impact on technological advancements and academic excellence.

Professional Experience: 💼

In addition to her teaching and research roles, Prof. Zhao leads the Key Laboratory of Big Data Fusion Analysis and Application of Shanxi Province. She has presided over 25 national and provincial projects, demonstrating her leadership and expertise in her field.

 📚 Top Noted Publications :

Title: Investigation and Experimental Study on Gearbox Vibration Fault Diagnosis Method Based on Fusion Feature Convolutional Learning Network
Authors: Zhu, X., Ye, X., Wang, R., Han, Z., Gao, X.
Journal: Experimental Techniques
Citation Index: 2
Year of Publication: 2023

Title: GNSS Multipath Mitigation Method Based on K-means Classification in Urban Environment
Authors: Gong, J., Ma, R., Li, D., Zhao, J.
Journal: Journal of the Indian Society of Remote Sensing
Citation Index: 4
Year of Publication: 2022

Title: Graph Neural Networks: Taxonomy, Advances, and Trends
Authors: Zhou, Y., Zheng, H., Huang, X., Li, D., Zhao, J.
Journal: ACM Transactions on Intelligent Systems and Technology
Citation Index: 53
Year of Publication: 2022

Title: Improved U-Net Based on Contour Prediction for Efficient Segmentation of Rectal Cancer
Authors: Li, D., Chu, X., Cui, Y., Zhang, K., Yang, X.
Journal: Computer Methods and Programs in Biomedicine
Citation Index: 19
Year of Publication: 2022

Title: Recognition of Honeycomb Lung in CT Images Based on Improved MobileNet Model
Authors: Gang, L., Haixuan, Z., Linning, E., Yu, L., Juming, Z.
Journal: Medical Physics
Citation Index: 15
Year of Publication: 2021

Author Metrics 📊 : 

Her extensive research output and impact are reflected in her author metrics, which highlight her influence and standing in the academic community.

📅 Research Timeline:

From earning her Ph.D. in 2008 to her current roles and achievements, Prof. Zhao’s career trajectory has been marked by continuous growth and significant contributions to electronic information and optical engineering, particularly in intelligent perception and IoT technology.

Mr Antonio Azambuja | Indústria 4.0 | Best Researcher Award |

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Mr. Antonio Azambuja | Indústria 4.0 | Best Researcher Award.

Instituto Tecnologico de Aeronautica,Brazil

Professional Profiles:

SCOPUS

👨‍🎓 Bio Summary:

Antonio João Gonçalves de Azambuja is an accomplished researcher and academic currently pursuing a postdoctoral fellowship in the Department of Informatics at the Federal University of Rio Grande do Sul (UFRGS), Brazil. His research focuses on social engineering in network and system security, particularly automated bots and artificial intelligence actions. Additionally, Antonio is a visiting researcher at Technische Universität Darmstadt, Germany, where he delves into cybersecurity and AI within Industry 4.0. His extensive academic journey includes two doctoral degrees, multiple specializations, and significant contributions to cybersecurity and information management.

🎓 Education:

Antonio is currently pursuing a second Ph.D. in Space Technologies Management at the Instituto Tecnológico de Aeronáutica (ITA), focusing on a cybersecurity maturity model for Industry 4.0, under the guidance of Prof. Dr. Vilson Rosa de Almeida. He holds a Ph.D. in Science Education from UFRGS, where his dissertation developed an information architecture maturity model to mitigate social impacts related to privacy, security, and information loss in Big Data. Antonio earned his Master’s in Knowledge Management and Information Technology from the Universidade Católica de Brasília, specializing in cybersecurity maturity models for federal public administration. He also completed various post-graduate programs in strategic IT management, software engineering, and information security.

🔍 Research Focus:

Antonio’s research primarily revolves around cybersecurity, artificial intelligence, and their applications in Industry 4.0. His interests include developing maturity models for cybersecurity, investigating social engineering attacks using automated bots, and enhancing cyber defense mechanisms. He is also actively involved in exploring the intersection of cybersecurity with Big Data and digital twins in industrial contexts.

🏆 Honors & Awards:

Throughout his academic career, Antonio has been recognized for his contributions to cybersecurity and information management. He has received multiple accolades for his innovative research and has been invited to present his work at numerous national and international conferences. His dedication to advancing cybersecurity practices within the public and industrial sectors has earned him respect and acknowledgment in the academic community.

Professional Experience: 💼

Antonio is currently a postdoctoral researcher at UFRGS, working under the mentorship of Prof. Dr. Lisandro Zambenedetti Granville and Prof. Dr. Jéferson Campos Nobre. He also serves as a visiting researcher at Technische Universität Darmstadt, Germany, under Prof. Dr. Reiner Anderl and Prof. Dr. Benjamin Schleich. Antonio is a researcher at the Naval War College’s Scenario Simulation Laboratory, focusing on cybersecurity and cyber defense, led by Prof. Dr. Max Campos. His professional journey includes roles in academia and collaborative research projects across Brazil and Germany.

 📚 Top Noted Publications :

Digital Twins in Industry 4.0 – Opportunities and Challenges Related to Cyber Security

Authors: de Azambuja, A.J.G., Giese, T., Schützer, K., Schleich, B., Rosa Almeida, V.

Journal: Procedia CIRP

Year: 2024

Pages: 25–30

Citations: 1

 

Artificial Intelligence-Based Cyber Security in the Context of Industry 4.0—A Survey

Authors: de Azambuja, A.J.G., Plesker, C., Schützer, K., Schleich, B., Almeida, V.R.

Journal: Electronics (Switzerland)

Year: 2023

Volume and Issue: 12(8)

Article Number: 1920

Citations: 29

 

Analysis of Cyber Security Features in Industry 4.0 Maturity Models

Authors: de Azambuja, A.J.G., Kern, A., Anderl, R.

Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Year: 2022

Volume: 13106 LNCS

Pages: 91–106

Citations: 0

Author Metrics 📊 : 

Antonio’s contributions to the field of cybersecurity are well-documented in various high-impact publications. His work is frequently cited, reflecting the significance and influence of his research. He has co-authored multiple articles with prominent researchers, contributing valuable insights into cybersecurity and information management.

📅 Research Timeline:

Antonio’s research timeline demonstrates a progressive and focused approach to cybersecurity and information management. Beginning with his Master’s research on cybersecurity maturity models, he advanced to developing comprehensive frameworks for Big Data security during his first Ph.D. His current postdoctoral work and second Ph.D. continue to build on these foundations, exploring advanced cybersecurity solutions for Industry 4.0.

Mrs sasirekha R | MOBILE SUSTAINABLE NETWORKS | Best Researcher Award |

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Mrs. sasirekha R | MOBILE SUSTAINABLE NETWORKS | Best Researcher Award.

SATHYABAMA INSTITUTE OF SCIENCE AND TECHNOLOGY,India

Professional Profiles:

SCOPUS

ORCID

GOOGLE SCHOLAR

👨‍🎓 Bio Summary:

Mrs. Sasirekha R is an accomplished Computer Science and Engineering professor with over five years of experience in teaching. She is recognized for her disciplined approach and expertise in programming, with a significant following among students. Currently pursuing her Ph.D. at SRM Institute of Science and Technology, Chennai, she excels in managing multiple assignments under tight deadlines and is adept at envisioning and implementing new concepts in her field.

🎓 Education:

Mrs. Sasirekha is currently pursuing her Ph.D. in Computer Science and Engineering at SRM Institute of Science and Technology, Chennai. She holds a Master’s degree in Engineering (2012-2014) from Magna College of Engineering, Anna University, Chennai, and a Bachelor’s degree in Information Technology (2006-2010) from Thangavelu Engineering College, Anna University, Chennai.

🔍 Research Focus:

Her research interests encompass Machine Learning, Data Mining, Artificial Intelligence, Data Analytics, Deep Learning, and Natural Language Processing. She has a strong technical background, including proficiency in various programming languages such as Java, Python, C++, R, and ASP.NET.

🏆 Honors & Awards:

Mrs. Sasirekha has received a recommendation for her article titled “Suspension Control Sensors Embedded with Smart Grid- Smart Car System,” published in Procedia Computer Science, Volume 230, 2023. The article highlights her innovative work on integrating sensors into vehicular systems to enhance safety and prevent accidents.

Professional Experience: 💼

Mrs. Sasirekha currently serves as an Assistant Professor in the Computer Science & Engineering department at Sathyabama Institute of Science and Technology, Chennai, since January 2023. She was a Research Scholar in Computing Technologies at SRM Institute of Science and Technology from February 2021 to January 2023. Prior to that, she held the position of Assistant Professor at Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College and PMR Engineering College. She began her teaching career at Thangavelu Engineering College in 2015.

 📚 Top Noted Publications :

Title: Artificial Intelligence: A Next-Level Approach in Confronting the COVID-19 Pandemic
Authors: V Mahalakshmi, A Balobaid, B Kanisha, R Sasirekha, M Ramkumar Raja
Citation: Healthcare 11 (6), 854
Index: 6
Year of Publication: 2023

Title: Study on Class Imbalance Problem with Modified KNN for Classification
Authors: R Sasirekha, B Kanisha, S Kaliraj
Citation: Intelligent Data Communication Technologies and Internet of Things
Index: 3
Year of Publication: 2022

Title: KNN Based Peak-LOF for Outlier Detection
Authors: R Sasirekha, B Kanisha
Citation: 2022 International Conference on Innovative Computing, Intelligent
Index: 2
Year of Publication: 2022

Title: RESMOTE: A New Approach for Class Imbalance Problem
Authors: S Ra, K Bb
Citation: Recent Developments in Electronics and Communication Systems: Proceedings of
Index: 1
Year of Publication: 2023

Title: Randomized Ensemble Approach with ID3 Algorithm For the Prediction datasets with Imbalance Problem
Authors: BK, R Sasirekha
Citation: International Journal on Recent and Innovation Trends in Computing and
Index:
Year of Publication: 2023

Author Metrics 📊 : 

Mrs. Sasirekha’s research work has been published in reputable journals and has garnered attention in the academic community for its innovative approaches and real-world applications.

📅 Research Timeline:

Mrs. Sasirekha’s research journey includes her tenure as a Research Scholar at SRM Institute of Science and Technology, where she delved into advanced computing technologies. Her academic career has been marked by continuous learning and contributions to the field of Computer Science and Engineering.

Dr Jinjin Hu | Digital economy | Best Researcher Award |

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Dr. Jinjin Hu | Digital economy | Best Researcher Award.

Harbin Institute of Technology (Shenzhen),China

Professional Profiles:

SCOPUS

👨‍🎓 Bio Summary:

Dr. Jinjin Hu is a Ph.D. candidate in Strategy & Entrepreneurship at Harbin Institute of Technology, Shenzhen, China, with research interests in digital transformation, corporate networks, and innovative performance. He holds a Master’s degree in Finance and a Bachelor’s degree in Accounting. Jinjin has published in renowned journals and received honors such as the National Scholarship. He actively contributes to research projects and serves as a reviewer for academic journals.

🎓 Education:

Dr. Jinjin Hu holds a Ph.D. in Strategy & Entrepreneurship from the School of Economics and Management at Harbin Institute of Technology, Shenzhen, China, where he is currently pursuing his doctoral studies. He also earned a Master of Arts in Finance from the same institution and holds a Bachelor of Science in Accounting from Huazhong Agricultural University, Wuhan, China.

🔍 Research Focus:

His research interests encompass a broad spectrum within the realms of knowledge and innovation, corporate strategy, international strategy, patents & intellectual property rights, digital transformation, and entrepreneurship. Dr. Hu’s work delves into understanding the impact of digital technologies on corporate innovation, the dynamics of corporate networks, and the strategic implications of technological advancements.

🏆 Honors & Awards:

Dr. Jinjin Hu has received prestigious accolades for his academic achievements, including the National Scholarship in 2021, the First Prize in the National “Chinese Accounting Network School Cup” Competition in 2019, and the Third Prize in the National “Innovation and Entrepreneurship Challenge Cup” in 2018.

Professional Experience: 💼

He has contributed significantly to various research projects funded by esteemed organizations such as the National Natural Science Foundation and the National Social Science Fund. Dr. Hu also serves as a reviewer for reputable journals in his field and has hosted sub-forums at academic conferences.

 📚 Top Noted Publications :

Title: Digital Economy Development and Venture Capital Networks: Empirical Evidence from China
Author: Jinjin Hu, Dong Huo, Delin Wu
Journal: Technological Forecasting and Social Change
Citation: 2024, Volume 203, Article 123338
Index: ABS3*, SSCI Q1
Year of Publish: 2024

 

Title: A Study on the Privatization Decisions of China Concepts Stock Based on the Tax Shield Effect
Author: Jinjin Hu, Xue Zhao, Delin Wu
Journal: Journal of Systems Science and Systems Engineering
Citation: 2023, Volume 32(5), Pages 623–640
Index: SSCI Q3
Year of Publish: 2023

 

Title: Identifying High-Quality Technology Patents Based on Deep Learning and Multi-Category Polling Mechanism—Case Study of Patent Applications
Author: Xue Zhao, Delin Wu, Wei Wu, Jinjin Hu, Yibo Lian, Jianwei Shan
Journal: Data Analysis and Knowledge Discovery
Citation: 2023, Volume 7(8), Pages 30–45
Index: CSSCI Q2
Year of Publish: 2023

 

Title: Digital Economy and Environmental Governance Performance: Empirical Evidence from 275 Cities in China
Author: Jinjin Hu, Xue Zhao, Delin Wu, Wei Wu
Journal: Environmental Science and Pollution Research
Citation: 2023, Volume 30(10), Pages 26012–26031
Index: SSCI Q1
Year of Publish: 2023

 

Title: Implementation of Industrial Enterprises’ Green Innovation Strategy under Technology Spillover
Author: Jinjin Hu, Xue Zhao, Delin Wu
Journal: Technology Analysis and Strategic Management
Citation: 2023
Index: ABS2*, SSCI Q3
Year of Publish: 2023

Author Metrics 📊 : 

His scholarly output is characterized by high-quality publications and active engagement in the academic community as evidenced by his reviewer role for journals. Dr. Hu’s publications have garnered attention within the academic community, contributing to the advancement of knowledge in his field.

📅 Research Timeline:

Throughout his academic journey, Dr. Jinjin Hu has consistently demonstrated a dedication to research excellence and scholarly inquiry. From his undergraduate studies in Accounting to his current doctoral research in Strategy & Entrepreneurship, he has maintained a steadfast commitment to expanding the frontiers of knowledge in his areas of expertise

Ms Feruz Elmay | Digital asset management | Best Researcher Award |

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Ms. Feruz Elmay | Digital asset management  | Best Researcher Award.

Khalifa University, United Arab Emirates

Professional Profiles:

SCOPUS

GOOGLE SCHOLAR

ORCID

👨‍🎓 Bio Summary:

Feruz Elmay, an adept professional in the realm of Electrical and Computer Engineering, hails from Abu Dhabi, UAE. With a comprehensive educational background and notable expertise in blockchain technology, artificial intelligence, and computer security, Feruz stands at the forefront of technological innovation.

🎓 Education:

Feruz pursued her higher education at Khalifa University of Science and Technology in Abu Dhabi, UAE. She earned a Bachelor of Science in Computer Engineering, followed by a Master of Science in Electrical and Computer Engineering, achieving commendable GPAs in both programs.

🔍 Research Focus:

Feruz’s research primarily revolves around blockchain technology and its applications in various domains. She has delved into areas such as blockchain-based traceability in logistics and shipping, NFTs for trusted traceability in digital twins, and artificial intelligence for water-energy nexus demand forecasting.

🏆 Honors & Awards:

Throughout her academic journey, Feruz has been recognized for her outstanding achievements. She secured a Full International Scholarship for her bachelor’s degree, received certificates of appreciation for academic excellence, and was honored on the Dean’s and President’s lists for her exemplary performance.

Professional Experience: 💼

Feruz has garnered valuable experience through her roles at Khalifa University of Science and Technology. As a Research Associate, she has contributed extensively to blockchain-related projects, including smart contract development and academic publications. Her previous position as a Research and Teaching Assistant equipped her with diverse skills in smart contract coding, testing, and analysis.

📚 Top Noted Publications :

Elmay, F.K., Salah, K., Jayaraman, R., Omar, I.A. (2022). “Using NFTs and Blockchain for Traceability and Auctioning of Shipping Containers and Cargo in Maritime Industry.” IEEE Access, 10, 124507-124522.

Elmay, F.K., Salah, K., Yaqoob, I., Jayaraman, R., Battah, A., Maleh, Y. (2022). “Blockchain-based Traceability for Shipping Containers in Unimodal and Multimodal Logistics.” IEEE Access, 10, 133539-133556.

Alhendi, A.A., Al-Sumaiti, A.S., Elmay, F.K., Wescaot, J., Kavousi-Fard, A., et al. (2022). “Artificial Intelligence for Water–Energy Nexus Demand Forecasting: A Review.” International Journal of Low-Carbon Technologies, 17, 520-534.

Elmay, F.K., Madine, M., Salah, K., Jayaraman, R. (2023). “NFTs for Trusted Traceability and Management of Digital Twins for Shipping Containers.” IEEE International Conference on Pervasive Computing and Communications.

Elmay, F., Kadadha, M., Mizouni, R., Singh, S., Otrok, H., Mourad, A. (2024). “Digital Twins and Dynamic NFTs for Blockchain-based Crowdsourced Last-Mile Delivery.” Information Processing & Management, 61(4), 103756.

Author Metrics 📊 : 

Feruz’s scholarly work has garnered recognition in the academic community, evident from her author metrics such as citation counts and publication impact. Her publications have received citations in reputable journals and conferences, reflecting the relevance and influence of her research contributions.

📅 Research Timeline:

Feruz’s journey in research and academia has been marked by a timeline of notable milestones. From her undergraduate studies to her current role as a Research Associate, each phase has contributed to her growth as a proficient researcher and technologist, shaping her into a leader in her field.

Dr KAI JIANG | Digital Economics | Best Researcher Award |

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Dr. KAI JIANG | Digital Economics  | Best Researcher Award.

SHANDONG UNIVERSITY,China

Professional Profiles:

SCOPUS

👨‍🎓 Bio Summary:

Dr. Kai Jiang is a distinguished researcher at The Center for Economic Research, Shandong University. With a solid background in economics, he has developed a keen interest in institutional economics, international trade, and financial risk management. His work is highly regarded in academic circles, reflected by numerous publications and prestigious awards.

🎓 Education:

Dr. Jiang is currently pursuing a Direct PhD at The Center for Economic Research, Shandong University, a journey he began in 2020. He holds a Bachelor of Arts in Economics from the School of Business at Shandong University, completed in 2019.

🔍 Research Focus:

Dr. Jiang’s research spans several critical areas within economics, including the impact of institutional differences on foreign direct investment (FDI), the effects of digital governance on global carbon intensity, and the implications of financial policies on labor markets. His work often explores the interplay between institutional frameworks and economic performance, both domestically and internationally.

🏆 Honors & Awards:

Dr. Jiang’s outstanding contributions to economic research have earned him several accolades. He received the “Top 10 Best Chinese Papers on International Investment in 2022” award from the World Economic Yearbook of the Institute of World Economics, Chinese Academy of Social Sciences. Additionally, he was awarded the Shandong Hi-Speed Scholarship in 2023 for his academic achievements and has won multiple prizes for his exceptional papers at various academic forums and annual meetings.

Professional Experience: 💼

In addition to his research, Dr. Jiang has gained significant teaching and research experience. He has served as a Teaching Assistant in Advanced Microeconomics at Shandong University and as a Research Assistant at several prestigious institutions, including the Chinese Academy of Social Sciences Camphor Economics Academic Circle, the International Monetary Institute at Renmin University of China, and the Center for International Resource Economics at Peking University.

📚 Top Noted Publications :

Title: How Does Digital Government Affect Carbon Intensity at the Global Level? New Perspective of Resource Allocation Optimization

Authors: Feng, Y., Liu, G., Meng, X., Jiang, K. (Co-first Author), Shi, J., Pan, Y.

Journal: Resources Policy

Year of Publication: 2024

Volume: 94

Article Number: 105108

Author Metrics 📊 : 

Dr. Jiang’s scholarly output is reflected in his author metrics, with his works frequently cited in the field of economics. His contributions have significantly influenced contemporary discussions on institutional economics and international trade policies.

📅 Research Timeline:

Dr. Jiang’s research journey began with his undergraduate studies in economics at Shandong University, culminating in several groundbreaking papers during his PhD tenure. His research has evolved from analyzing domestic economic policies to examining global economic phenomena, showcasing a trajectory of increasing complexity and impact.

Ms Bassant Tolba | Wireless communication | Best Researcher Award |

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

Egypt-Japan University Science and Technology,Egypt

Professional Profiles:

SCOPUS

ORCID

GOOGLE SCHOLAR 

👨‍🎓 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