Dr. Shadi Atalla, University of DUbai, United Arab Emirates.
Dr. Shadi Atalla is an accomplished academic and researcher specializing in Computing and Information Systems. With a Ph.D. in Computer Networks from Politecnico di Torino, Italy, he has extensive experience in teaching, research, and academic leadership. He is currently an Associate Professor and Director of Computing and Information Systems at the University of Dubai, UAE. Dr. Atalla is passionate about developing innovative curricula, driving accreditation efforts, and fostering research in Data Science, AI, and Machine Learning. His work has earned him multiple research excellence awards, and he actively contributes to global advancements in academic and research technologies. 
Publication profile
Education:
- Ph.D. in Computer Networks, Politecnico di Torino, Italy (2012)
- M.Sc. in Computer and Communication Networks, Politecnico di Torino, Italy (2008)
- B.Sc. in Computer Engineering, An-Najah National University, Palestine (2004)
Experience:
- Associate Professor & Director, Computing & Information Systems, University of Dubai (2021–Present)
- Assistant Professor, University of Dubai (2016–2021)
- Visiting Professor, Al Ghurair University, Dubai (2014–2016)
- Post-Doctoral Researcher, Istituto Superiore Mario Boella, Italy (2012–2014)
- Researcher, Istituto Superiore Mario Boella, Italy (2008–2009)
- Teaching Assistant, An-Najah National University, Palestine (2004–2006)
- Network Architect, Net Point Company for Wireless Communication, Palestine (2004)
Suitability For The Award
Dr. Shadi Atalla is an outstanding candidate for the Best Researcher Award due to his significant contributions to the fields of computing, information systems, and data science. With a proven track record of high-impact research, leadership in academic programs, and a commitment to advancing cutting-edge technologies, Dr. Atalla has consistently demonstrated excellence in his field. His involvement in internationally recognized projects, coupled with his ability to secure substantial research funding, positions him as a leading researcher in his domain.
Professional Development
Dr. Shadi Atalla has participated in numerous professional development programs to enhance his expertise in the ever-evolving fields of computing and data science. He has completed certifications in Applied Data Science, Machine Learning, and Python from the University of Michigan and IBM, showcasing his commitment to continuous learning. He has also participated in training on program assessment and accreditation (ABET), Generative AI, and various data science applications. His focus on innovation is evident from his active engagement in professional development programs that enable him to integrate new technologies such as AI, cloud computing, and big data analytics into academic curricula.
Research Focus
Dr. Shadi Atalla’s research primarily revolves around
Data Science,
Machine Learning,
AI,
IoT, and
Computer Networks. His research interests include advanced algorithms for applied machine-to-machine communication, network optimization, and pervasive technologies in the IoT space. He has contributed to projects such as energy management systems and optical networks, demonstrating his expertise in both theoretical and applied research. His involvement in European Commission-funded projects and collaborations with international organizations underscores his commitment to advancing technological innovation, particularly in areas like
indoor localization,
network security, and
smart life assistant applications.
Awards and Honors
- Excellence in Research Award, University of Dubai (2022, 2019)
- Best Paper Award, ICSPIS 2022
- Honours College, An-Najah National University
- TopMed 2nd Level Master Scholarship (2 years)
- Full Politecnico di Torino PhD Scholarship (3 years)
Publoication Top Notes
-
Smart real-time healthcare monitoring and tracking system using GSM/GPS technologies
K Aziz, S Tarapiah, SH Ismail, S Atalla | Cited by: 167 | Year: 2016
-
Decoding ChatGPT: a taxonomy of existing research, current challenges, and possible future directions
SS Sohail, F Farhat, Y Himeur, M Nadeem, DØ Madsen, Y Singh, S Atalla, … | Cited by: 157 | Year: 2023
-
A comprehensive review of recent research trends on unmanned aerial vehicles (UAVs)
K Telli, O Kraa, Y Himeur, A Ouamane, M Boumehraz, S Atalla, … | Cited by: 117 | Year: 2023
-
An innovative deep anomaly detection of building energy consumption using energy time-series images
A Copiaco, Y Himeur, A Amira, W Mansoor, F Fadli, S Atalla, SS Sohail | Cited by: 83 | Year: 2023
-
Scientometric Analysis and Classification of Research Using Convolutional Neural Networks: A Case Study in Data Science and Analytics
M Daradkeh, L Abualigah, S Atalla, W Mansoor | Cited by: 56 | Year: 2022
-
IoT-enabled precision agriculture: Developing an ecosystem for optimized crop management
S Atalla, S Tarapiah, A Gawanmeh, M Daradkeh, H Mukhtar, Y Himeur, … | Cited by: 55 | Year: 2023
-
Social Media for Teaching and Learning within Higher Education Institution: A Bibliometric Analysis of the Literature (2008-2018)
KF Hashim, A Rashid, S Atalla | Cited by: 54 | Year: 2018