Shadi Atalla | Data Science | Best Researcher Award

Shadi Atalla | Data Science | Best Researcher Award

Dr. Shadi Atalla, University of DUbai, United Arab Emirates.

Publication profile

Googlescholar

Education:

  • Ph.D. in Computer Networks, Politecnico di Torino, Italy (2012)ย ๐ŸŽ“๐Ÿ‡ฎ๐Ÿ‡น
  • M.Sc. in Computer and Communication Networks, Politecnico di Torino, Italy (2008)ย ๐Ÿ’ป๐Ÿ“ก
  • B.Sc. in Computer Engineering, An-Najah National University, Palestine (2004)ย ๐Ÿ–ฅ๏ธ๐Ÿ‡ต๐Ÿ‡ธ

Experience:

  • Associate Professor & Director, Computing & Information Systems, University of Dubai (2021โ€“Present)ย ๐Ÿซ๐Ÿ’ผ
  • Assistant Professor, University of Dubai (2016โ€“2021)ย ๐Ÿซ๐Ÿ“š
  • Visiting Professor, Al Ghurair University, Dubai (2014โ€“2016)ย ๐ŸŒ๐ŸŽ“
  • Post-Doctoral Researcher, Istituto Superiore Mario Boella, Italy (2012โ€“2014)ย ๐Ÿง‘โ€๐Ÿ’ป๐Ÿ‡ฎ๐Ÿ‡น
  • Researcher, Istituto Superiore Mario Boella, Italy (2008โ€“2009)ย ๐Ÿ”ฌ๐Ÿ‡ฎ๐Ÿ‡น
  • Teaching Assistant, An-Najah National University, Palestine (2004โ€“2006)ย ๐Ÿ“š๐Ÿ‡ต๐Ÿ‡ธ
  • Network Architect, Net Point Company for Wireless Communication, Palestine (2004)ย ๐ŸŒ๐Ÿ”ง

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 Developmentย 

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.ย ๐Ÿง‘โ€๐Ÿซ๐Ÿ’ก๐Ÿ“Š

Research Focusย 

Awards and Honors

  • Excellence in Research Award, University of Dubai (2022, 2019)ย ๐Ÿ†๐Ÿ“š
  • Best Paper Award, ICSPIS 2022ย ๐Ÿฅ‡๐Ÿ“‘
  • Honours College, An-Najah National Universityย ๐Ÿ…๐ŸŽ“
  • TopMed 2nd Level Master Scholarshipย (2 years)ย ๐ŸŽ“๐ŸŒ
  • Full Politecnico di Torino PhD Scholarshipย (3 years)ย ๐ŸŽ“๐Ÿ‡ฎ๐Ÿ‡น

Publoication Top Notes

  1. Smart real-time healthcare monitoring and tracking system using GSM/GPS technologies
    K Aziz, S Tarapiah, SH Ismail, S Atalla | Cited by: 167 | Year: 2016ย ๐Ÿ“ก๐Ÿฅ
  2. Decoding ChatGPT: a taxonomy of existing research, current challenges, and possible future directions
    SS Sohail, F Farhat, Y Himeur, M Nadeem, Dร˜ Madsen, Y Singh, S Atalla, … | Cited by: 157 | Year: 2023ย ๐Ÿค–๐Ÿ“š
  3. 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: 2023ย ๐Ÿš๐Ÿ”
  4. 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: 2023ย ๐Ÿ โšก
  5. 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: 2022ย ๐Ÿ“Š๐Ÿง 
  6. 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: 2023ย ๐ŸŒพ๐Ÿ“ก
  7. 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: 2018ย ๐Ÿ“ฑ๐Ÿ“š

 

Dr. Kittichai Lavangnananda | Data Science Awards | Best Researcher Award

Dr. Kittichai Lavangnananda | Data Science Awards | Best Researcher Award

Dr. Kittichai Lavangnananda, University of Luxembourg, Thailand

Dr. Kittichai Lavangnananda holds a Ph.D. in Artificial Intelligence from Cardiff University, UK (1996), an M.Sc. in Computer Science from The University of Wales Cardiff, UK (1987), and a B.Sc. in Computer Science from The University of Hull, UK (1985). He currently serves as an Associate Professor at King Mongkutโ€™s University of Technology Thonburi (KMUTT), where he also holds administrative positions as Associate Dean on Research, International Relations, and Academic Quality Assurance, and Head of Software Technology Division. His research interests include Computational Intelligence, Data Science, Evolutionary Computation, Machine Learning, Deep Learning, and Urban Planning. Kittichai has extensive international collaboration and experience in academia and technology development. ๐Ÿค–

Professional Profile:

Scopus

๐ŸŽ“ Qualification:

Dr. Kittichai Lavangnananda is an accomplished academic with a Ph.D. in Artificial Intelligence from Cardiff University, UK (1996), complemented by an M.Sc. in Computer Science from The University of Wales Cardiff (1987), and a B.Sc. in Computer Science from The University of Hull, UK (1985). Currently serving as an Associate Professor at King Mongkutโ€™s University of Technology Thonburi (KMUTT), he holds pivotal administrative roles including Associate Dean for Research, International Relations, and Academic Quality Assurance. Dr. Lavangnananda also heads the Software Technology Division, contributing significantly to the fields of Computational Intelligence, Data Science, Evolutionary Computation, Machine Learning, Deep Learning, and Urban Planning through his research and leadership.

๐Ÿ‘จโ€๐Ÿซ Teaching Experience:

Dr. Kittichai Lavangnananda is an Associate Professor at King Mongkutโ€™s University of Technology Thonburi (KMUTT), where he serves as the Associate Dean of Research, International Relations, and Academic Quality Assurance, and Head of the Software Technology Division. With a Ph.D. in Artificial Intelligence from Cardiff University, UK, and extensive international experience, his teaching spans key areas including Artificial Intelligence, Data Structures and Algorithms, Human-Computer Interaction, Qualitative & Model-based Reasoning, and Object-oriented programming. He brings a wealth of knowledge and practical insight to his educational role, fostering a deep understanding of complex computational concepts among his students.

๐Ÿ”ฌ Research Interests:

Dr. Kittichai Lavangnananda, Ph.D., is an Associate Professor at King Mongkutโ€™s University of Technology Thonburi (KMUTT), where he serves as Associate Dean of Research, International Relations, and Academic Quality Assurance, and Head of the Software Technology Division. His research interests encompass Computational Intelligence, Data Science, Evolutionary Computation, Machine Learning, Deep Learning, Meta-heuristics, and Multi-Objective Optimization. With a strong background in Artificial Intelligence and extensive experience in academia and technology development, Dr. Lavangnananda contributes significantly to advancing knowledge in these fields through research, teaching, and collaborative projects both nationally and internationally.

Publication Top Notes:

  • Title: Scheduling Deep Learning Training in GPU Cluster Using the Model-Similarity-Based Policy
    • Publication Year: 2023
  • Title: Implementation of Predictive Model for Diarrhea among Afghanistan Children Based on Medical and Non-Medical Attributes
    • Publication Year: 2022
  • Title: Implementing Predictive Model for Child Mortality in Afghanistan
    • Publication Year: 2022
    • Citations: 2
  • Title: Optimization of Carsharing Fleet Placement in Round-Trip Carsharing Service
    • Publication Year: 2021
    • Citations: 7
  • Title: Application of Machine Learning in Assignment of Child Delivery Service in Afghanistan
    • Publication Year: 2021
    • Citations: 3