Prof. Khaled Shaban | Data Science | Best Researcher Award

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Prof. Khaled Shaban | Data Science | Best Researcher Award

Prof. Khaled Shaban, Qatar University, Qatar

Prof. Khaled Shaban is a distinguished researcher and professor in Computer Science and Engineering at Qatar University. With expertise in Computational Intelligence, Machine Learning, and Data Science, he has significantly contributed to advancing pattern recognition, cloud computing, and cybersecurity. A senior member of IEEE and ACM, he has received multiple accolades for his groundbreaking research. He also holds an adjunct professorship at the University of Waterloo, reinforcing his global academic influence. His work focuses on AI-driven disease prediction, smart systems, and optimization techniques, making him a leader in intelligent computing innovations.

🌍 Professional Profile:

Google Scholar

Orcid

Scopus

🏆 Suitability for Best Researcher Award

Prof. Khaled Shaban’s research excellence, innovative contributions, and global recognition make him an ideal candidate for the Best Researcher Award. His pioneering work in Machine Learning, AI, and Computational Intelligence has led to influential publications and prestigious awards, such as the Best Paper Award at IRICT 2021. His ability to merge theory and application in AI, cloud computing, and cybersecurity has significantly impacted academia and industry. His leadership in top-tier conferences and IEEE/ACM communities underscores his commitment to advancing knowledge, making him a highly deserving candidate for this distinguished recognition.

🎓 Education

Prof. Khaled Shaban holds a Ph.D. in Electrical and Computer Engineering from the University of Waterloo, Canada (2006), specializing in Pattern Recognition and Machine Intelligence. His academic journey began with an M.Sc. in Engineering Systems and Computing (2002) from the University of Guelph, Canada, where he developed a strong foundation in computational intelligence and optimization. His interdisciplinary education has enabled him to integrate machine learning, data science, and engineering systems into cutting-edge research. His expertise in algorithms and computing theory has positioned him as a global leader in AI and intelligent systems research.

💼 Experience

Prof. Khaled Shaban has an extensive academic career, currently serving as a Professor at Qatar University’s College of Engineering (since April 2021). He previously held roles as Associate Professor (2016-2021) and Assistant Professor (2008-2016). Additionally, he is an Adjunct Professor at the University of Waterloo (2021-2027), collaborating on AI-driven computing innovations. His professional affiliations with IEEE, ACM, and international research communities enhance his impact on global technological advancements. Over the years, he has mentored numerous students and led transformative research in Artificial Intelligence, Data Science, and Optimization.

🏅 Awards & Honors

  • 🏆 Best Paper Award – IRICT 2021 for “C-SAR: Class-Specific and Adaptive Recognition for Arabic Handwritten Cheques”
  • 🏅 Nomination for Best Paper Award – ICVS 2021 for “MARL: Multimodal Attentional Representation Learning for Disease Prediction”
  • 🎖 Promoted to Professor – Qatar University, 2021
  • 🔬 Senior Member, IEEE & ACM – Recognized for contributions to AI and Computational Intelligence
  • 🌍 International Collaborations – Adjunct Professor at the University of Waterloo, fostering global research partnerships

🔬 Research Focus

Prof. Khaled Shaban’s research lies at the intersection of Artificial Intelligence, Computational Intelligence, and Data Science. His work in Machine Learning-driven healthcare analytics, particularly in disease prediction and medical image analysis, is widely recognized. He has also made significant contributions to cybersecurity, cloud computing, and smart grid systems. His studies on optimization and knowledge discovery enhance IoT, AI-based automation, and intelligent computing solutions. Through numerous publications and projects, he has addressed real-world challenges in AI, energy-efficient computing, and adaptive learning systems, making his research impactful across academia and industry.

📖 Publication Top Notes

  • Urban Air Pollution Monitoring System with Forecasting Models

    • Year: 2016
    • Citations: 341

  • Fault Detection, Isolation, and Service Restoration in Distribution Systems: State-of-the-Art and Future Trends

    • Year: 2016
    • Citations: 321

  • Delay-Aware Scheduling and Resource Optimization with Network Function Virtualization

    • Year: 2016
    • Citations: 266

  • A Reliability-Aware Network Service Chain Provisioning with Delay Guarantees in NFV-Enabled Enterprise Datacenter Networks

    • Year: 2017
    • Citations: 224

  • Deep Learning Models for Sentiment Analysis in Arabic

    • Year: 2015
    • Citations: 150

 

 

Abdul-Majeed Al-Izeri | Data Science | Best Scholar Award

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Abdul-Majeed Al-Izeri | Data Science | Best Scholar Award

Dr. Abdul-Majeed Al-Izeri , Clermont Auvergne University, France.

Publication profile

Googlescholar

Education and Experience

  • 2020-2021: University degree in Data Science, University Clermont Auvergne, France. 🎓
  • 2013-2016: PhD in Mathematics (Mathematical analysis of PDEs), University Clermont Auvergne, France. 📜
  • 2011-2012: Master 2 in Mathematical Modelling (PDEs, calculation, epidemiology), University of Bordeaux, France. 💻
  • 2010-2011: Master 1 in Mathematics (Modelling, calculation, environment), University of Bordeaux, France. 📐
  • 2002-2006: BSc in Mathematics, University of Thamar, Yemen. 📘
  • October 2021-Present: Assistant Professor, Applied Mathematics, Clermont Auvergne University, France. 👩‍🏫
  • January 2018-July 2021: Postdoctoral Researcher in Epidemiology and PDEs, Clermont Auvergne University, France. 🔬
  • 2017: Postdoctoral Project in PDEs Dynamics, Clermont Auvergne University, France. 🧮
  • 2013-2016: Thesis Project in Mathematical Analysis of Population Dynamics, Blaise Pascal University, France. 🔍
  • 2012: Research Internship, Epidemic Model Study, University of Bordeaux, France. 💡
  • 2011: Project in Mathematical Modelling for Fishing Resources, University of Bordeaux, France. 🐟

Suitability For The Award

Dr. Abdul-Majeed Al-Izeri is indeed a highly suitable candidate for the Best Scholar Award based on his extensive academic qualifications, professional experience, and notable contributions to the field of Applied Mathematics and Data Science. His academic background, including a PhD in Mathematics with a specialization in Partial Differential Equations (PDEs), as well as a strong postdoctoral research profile, makes him a valuable asset in both academia and research communities.

Professional Development 

Dr. Al-Izeri has gained comprehensive skills in programming languages like Fortran, Matlab, Python, and R, along with proficiency in parallel computation using MPI. His expertise extends to using Latex and other office software for academic writing and presentations. He has been involved in several international research projects focused on applying mathematical theories to solve real-world problems in epidemiology and population dynamics. Dr. Al-Izeri’s ongoing commitment to improving his mathematical expertise and expanding his knowledge in data science and computational methods keeps him at the forefront of his field. 📊💻🔍

Research Focus 

Awards and Honors

  • 2021: Assistant Professor Appointment, Clermont Auvergne University, France. 🎓
  • 2016: PhD Completion, Mathematical Analysis of PDEs, University Clermont Auvergne. 🏆
  • 2012: Research Internship Excellence Award, University of Bordeaux. 🌟
  • 2011: Best Project in Mathematical Modelling for Resource Management, University of Bordeaux. 🏅

Publoication Top Notes

  1. On the solutions for a nonlinear boundary value problem modeling a proliferating cell population with inherited cycle length – AM Al-Izeri, K Latrach, Nonlinear Analysis: Theory, Methods & Applications 143, 1-18, Cited by 6, 2016 📘🧬
  2. Well-posedness of a nonlinear model of proliferating cell populations with inherited cycle length – ALI Abdul-Majeed, K Latrach, Acta Mathematica Scientia 36 (5), 1225-1244, Cited by 5, 2016 📊🧫
  3. Nonlinear semigroup approach to transport equations with delayed neutrons – ALI Abdul-Majeed, K Latrach, Acta Mathematica Scientia 38 (6), 1637-1654, Cited by 3, 2018 🔬⏳
  4. A nonlinear age-structured model of population dynamics with inherited properties – AM Al-Izeri, K Latrach, Mediterranean Journal of Mathematics 13, 1571-1587, Cited by 3, 2016 🌱🔢
  5. On the asymptotic spectrum of a transport operator with elastic and inelastic collision operators – AM Al-Izeri, K Latrach, Acta Mathematica Scientia 40, 805-823, Cited by 2, 2020 🔍🔄
  6. A note on fixed point theory for multivalued mappings – AM Al-Izeri, K Latrach, Fixed Point Theory 24 (1, 2023), 233-240, Cited by 1, 2023 📐📍

 

Shadi Atalla | Data Science | Best Researcher Award

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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) 🎓🇮🇹
  • 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 

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

  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: 2016 📡🏥
  2. 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 🤖📚
  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: 2023 🚁🔍
  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: 2023 🏠⚡
  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: 2022 📊🧠
  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: 2023 🌾📡
  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: 2018 📱📚

 

Dr. Bechoo Lal | Data Science Awards | Best Researcher Award

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Dr. Bechoo Lal | Data Science Awards | Best Researcher Award

Dr. Bechoo Lal, KLEF – KL University Vijayawada Campus Andhra Pradesh, India

Dr. Bechoo Lal is a distinguished academic with a diverse educational background, holding a PhD in Computer Science and Information Systems from the University of Mumbai, India. He also earned a Master’s in Computer Applications from Banaras Hindu University, UP, India, a Master of Technology in Computer Science Engineering from AAI-Deemed University, Allahabad, India, and a PGP in Data Science from Purdue University, USA. With over two decades of teaching experience, Dr. Lal has served in various roles, including Assistant Professor at Western College, University of Mumbai, and Lecturer at JPG College, Purvanchal University, India. His research interests in Machine Learning, Data Science, and Big Data Analytics drive his passion for predictive modeling and enhancing data analysis accuracy. Dr. Lal has also contributed extensively to academic governance and program development, reflecting his commitment to education and research excellence.

Professional Profile:

Orcid
Scopus

📚 Academic Qualifications:

Dr. Lal holds a diverse academic background, including a PhD in Computer Science and Information Systems from University of Mumbai, India, and a Master’s in Computer Applications from Banaras Hindu University, UP, India. He also completed a Master of Technology in Computer Science Engineering from AAI-Deemed University, Allahabad, India, and a PGP in Data Science from Purdue University, USA.

🔬 Research and Teaching Interests:

His primary research interests encompass Machine Learning, Data Science, and Big Data Analytics. Dr. Lal is passionate about exploring predictive modeling using machine learning techniques and enhancing accuracy in data analysis.

👨‍🏫 Teaching Experience:

With over two decades of teaching experience, Dr. Lal has served as an Assistant Professor at Western College, University of Mumbai, and as a Lecturer at JPG College, Purvanchal University, India. He has also contributed to IGNOU’s BCA/MCA programs as a Counsellor.

🎓 Academic and Administrative Roles:

Dr. Lal has taken on various administrative roles, including Co-coordinator and Examination Chairperson at Western College, University of Mumbai. He has supervised numerous research projects at SJJT University, India, and contributed significantly to academic governance and program development.

Publication Top Notes:

  • Title: Improving migration forecasting for transitory foreign tourists using an Ensemble DNN-LSTM model
    • Journal: Entertainment Computing
    • Year: 2024
  • Title: Using social networking evidence to examine the impact of environmental factors on social Followings: An innovative Machine learning method
    • Journal: Entertainment Computing
    • Year: 2024
  • Title: Real-Time Convolutional Neural Networks for Emotion and Gender Classification
    • Conference: Procedia Computer Science
    • Year: 2024
  • Title: Identification of Brain Diseases using Image Classification: A Deep Learning Approach
    • Conference: Procedia Computer Science
    • Year: 2024
  • Title: Fake News Detection Using Transfer Learning
    • Conference: Communications in Computer and Information Science
    • Year: 2024