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)Ā šŸŽ“šŸ‡®šŸ‡¹
  • M.Sc. in Computer and Communication Networks, Politecnico di Torino, Italy (2008)Ā šŸ’»šŸ“”
  • B.Sc. in Computer Engineering, An-Najah National University, Palestine (2004)Ā šŸ–„ļøšŸ‡µšŸ‡ø

Experience:

  • Associate Professor & Director, Computing & Information Systems, University of Dubai (2021ā€“Present)Ā šŸ«šŸ’¼
  • Assistant Professor, University of Dubai (2016ā€“2021)Ā šŸ«šŸ“š
  • Visiting Professor, Al Ghurair University, Dubai (2014ā€“2016)Ā šŸŒšŸŽ“
  • Post-Doctoral Researcher, Istituto Superiore Mario Boella, Italy (2012ā€“2014)Ā šŸ§‘ā€šŸ’»šŸ‡®šŸ‡¹
  • Researcher, Istituto Superiore Mario Boella, Italy (2008ā€“2009)Ā šŸ”¬šŸ‡®šŸ‡¹
  • Teaching Assistant, An-Najah National University, Palestine (2004ā€“2006)Ā šŸ“ššŸ‡µšŸ‡ø
  • Network Architect, Net Point Company for Wireless Communication, Palestine (2004)Ā šŸŒšŸ”§

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 DevelopmentĀ 

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.Ā šŸ§‘ā€šŸ«šŸ’”šŸ“Š

Research FocusĀ 

Awards and Honors

  • Excellence in Research Award, University of Dubai (2022, 2019)Ā šŸ†šŸ“š
  • Best Paper Award, ICSPIS 2022Ā šŸ„‡šŸ“‘
  • Honours College, An-Najah National UniversityĀ šŸ…šŸŽ“
  • TopMed 2nd Level Master ScholarshipĀ (2 years)Ā šŸŽ“šŸŒ
  • Full Politecnico di Torino PhD ScholarshipĀ (3 years)Ā šŸŽ“šŸ‡®šŸ‡¹

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: 2016Ā šŸ“”šŸ„
  2. Decoding ChatGPT: a taxonomy of existing research, current challenges, and possible future directions
    SS Sohail, F Farhat, Y Himeur, M Nadeem, DƘ Madsen, Y Singh, S Atalla, … | Cited by: 157 | Year: 2023Ā šŸ¤–šŸ“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: 2023Ā šŸššŸ”
  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: 2023Ā šŸ āš”
  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: 2022Ā šŸ“ŠšŸ§ 
  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: 2023Ā šŸŒ¾šŸ“”
  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: 2018Ā šŸ“±šŸ“š

 

Mohammadreza Mahmoudi | Data Science | Best Researcher Award

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Dr. Mohammadreza Mahmoudi | Data Science | Best Researcher Award

Professor, Fasa University, IranĀ 

Dr. Mohammadreza Mahmoudi is an esteemed researcher with a robust background in mathematical statistics and applied probability. His contributions span several impactful projects, including advanced statistical methods and applications in diverse fields. His research excellence and distinguished academic career make him a strong candidate for the Best Researcher Award.

Professional Profile:

Scopus

Summary of Suitability for the Research for Best Researcher Award:Ā 

Dr. Mohammadreza Mahmoudi stands out as a prime candidate for the Best Researcher Award due to his exceptional contributions to mathematical statistics and applied probability. His extensive research on periodograms, statistical properties of simple processes, and advanced non-parametric methodologies demonstrates a deep expertise in his field. Dr. Mahmoudi’s accolades, including being a top student at all levels of his education and his role as an Advisory Board Member of ScienceVier Canada, underscore his recognition and influence in statistical research. His robust teaching experience and impactful projects further solidify his suitability for this prestigious award, highlighting his dedication to advancing statistical science and education.

šŸŽ“Education:

Dr. Mahmoudi completed his Ph.D. in Mathematical Statistics (Applied Probability) from Shiraz University in 2016, following a Master of Science in Mathematical Statistics and a Bachelor of Science in Statistics from the same institution. His educational journey reflects a profound commitment to advancing statistical science.

šŸ¢Work Experience:

Dr. Mahmoudi has served as a researcher and educator in statistical methodologies, specializing in areas such as time series analysis, stochastic processes, and nonparametric methodologies. He has been actively involved in teaching a broad range of statistical courses at Shiraz University and has contributed to several high-impact research projects.

šŸ†Awards and Grants:

Dr. Mahmoudi has been recognized as a top student during his Ph.D., M.Sc., and B.Sc. periods at Shiraz University. He has also been elected as an Advisory Board Member of ScienceVier Canada, showcasing his expertise and influence in the field of statistics.

Publication Top Notes:

  1. “Machine learning models for predicting interactions between air pollutants in Tehran Megacity, Iran”
    • Year: 2024
    • Journal: Alexandria Engineering Journal
  2. “Solving optimal control problems governed by nonlinear PDEs using a multilevel method based on an artificial neural network”
    • Year: 2024
    • Journal: Computational and Applied Mathematics
  3. “The removal of methylene blue from aqueous solutions by polyethylene microplastics: Modeling batch adsorption using random forest regression”
    • Year: 2024
    • Journal: Alexandria Engineering Journal
  4. “Meteorological Drought Prediction Based on Evaluating the Efficacy of Several Prediction Models”
    • Year: 2024
    • Journal: Water Resources Management
  5. “Spatial and temporal assessment and forecasting vulnerability to meteorological drought”
    • Year: 2024
    • Journal: Environment, Development and Sustainability
  6. “Assessment of Continuity Changes in Spatial and Temporal Trend of Rainfall and Drought”
    • Year: 2023
    • Journal: Pure and Applied Geophysics
  7. “Using the multiple linear regression based on the relative importance metric and data visualization models for assessing the ability of drought indices”
    • Year: 2023
    • Journal: Journal of Water and Climate Change
  8. “Dryland farming wheat yield prediction using the Lasso regression model and meteorological variables in dry and semi-dry region”
    • Year: 2023
    • Journal: Stochastic Environmental Research and Risk Assessment
  9. “Cyclic clustering approach to impute missing values for cyclostationary hydrological time series”
    • Year: 2023
    • Journal: Quality and Quantity
  10. “Statistical and Mathematical Modeling for Predicting Caffeine Removal from Aqueous Media by Rice Husk-Derived Activated Carbon”
    • Year: 2023
    • Journal: Sustainability (Switzerland)

 

 

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

šŸ“š 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.

šŸ”¬ 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.

šŸ‘Øā€šŸ« 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.

šŸŽ“ 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

 

 

Prof. Gui Gui | Big Data Analysis Awards | Best Scholar Award

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Prof. Gui Gui | Big Data Analysis Awards | Best Scholar Award

Prof. Gui Gui, Central South University, China

šŸŽ“ Prof. Gui Gui, a distinguished scholar šŸ“š hailing from Central South University šŸ‡ØšŸ‡³, boasts a stellar academic journey, culminating in a Ph.D. in Computer Science from the University of Essex šŸŽ“. As a Full Professor at the School of Automation, her expertise in artificial intelligence and big data systems šŸ¤– propels groundbreaking research, enriching the global academic landscape šŸ”¬. Beyond her role in academia, Gui Gui’s leadership šŸŒŸ and commitment to knowledge dissemination šŸŒ shape the future of computer science, inspiring generations of researchers and professionals.

šŸŒ Professional Profile:

Orcid

šŸŽ“ Education

Gui Gui holds a Bachelor of Engineering and a Master of Science in Computer Science from Central South University, Changsha, China. She furthered her education by obtaining a Ph.D. in Computer Science from the University of Essex, Colchester, UK, in 2007, showcasing her commitment to academic excellence and research.

šŸ”¬ Research Focus

As a distinguished Full Professor at the School of Automation, Central South University, China, Gui Gui’s research interests revolve around cutting-edge fields such as artificial intelligence, data modeling, and big data systems. Her work contributes significantly to advancing knowledge and innovation in these rapidly evolving domains.

šŸ’¼ Professional Accomplishments

Gui Gui’s journey in academia has seen her rise to the esteemed position of Full Professor, reflecting her expertise, leadership, and dedication to the field of automation. Her leadership role underscores her influence in shaping the next generation of researchers and professionals in the realm of computer science.

šŸŒ Contributions & Impact

Gui Gui’s contributions extend beyond the classroom and laboratory, as she actively engages in scholarly activities, collaborations, and knowledge dissemination. Through her research, publications, and academic engagements, she continues to make a profound impact on the global academic community.

Publication Top Notes:

Object detection on low-resolution images with two-stage enhancement
  • Journal: Knowledge-Based Systems
  • Year: 2024-09

 

 

 

 

Prof. Hong bin Xia | Recommender system | Best Researcher Award

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Prof. Hong bin Xia | Recommender system | Best Researcher Award

Prof. Hong bin Xia | Jiangnan University | China

Prof. Hongbin Xia, a distinguished professor at Jiangnan University šŸŽ“, excels in natural language processing, personalized recommendation systems, network optimization, and digital media technology, including digital twins and 3D virtual simulation. He teaches Software Engineering and Human-Computer Interaction Technology šŸ“š. Dr. Xia has authored over 40 academic papers in prestigious journals and conferences šŸ“ and led numerous national and enterprise research projects, securing significant funding. His accolades include multiple Science and Technology Awards šŸ† and notable teaching honors. As a mentor, he has guided students to remarkable successes in competitions and received several Excellent Instructor awards šŸ‘Øā€šŸ«. Prof. Xia actively participates in professional committees and provides technical consultancy, further showcasing his expertise and commitment to advancing his field šŸ“ˆ.

šŸŒ Professional Profile:

Scopus

šŸ« Academic Position

Professor, Jiangnan University
Dr. Hongbin Xia holds a prominent position as a professor at Jiangnan University, where he imparts knowledge and fosters innovation in the fields of natural language processing, personalized recommendation systems, network optimization, and digital media technology, including digital twins and 3D virtual simulation.

šŸ“š Courses Taught

  • Software Engineering
  • Human-Computer Interaction Technology

šŸ“ Research Contributions

Dr. Xia has an impressive portfolio of over 40 academic papers published in esteemed journals and conferences such as “Complex & Intelligent Systems,” “Systems Engineering and Electronic Technology,” “Pattern Recognition and Artificial Intelligence,” and the “Journal of Chinese Information Technology.” His work includes more than 10 SCI/EI indexed publications.

šŸ”¬ Research and Projects

  • National Key R&D Projects: Presided over sub-projects and participated in the 2030 national science and technology major project, achieving significant results.
  • Enterprise Projects: Led over 30 projects, receiving more than 8 million yuan and utilizing over 5.5 million yuan for personal research.

šŸ† Awards and Honors

  • Science and Technology Awards: Special Award and First Prize of Science and Technology from the China Federation of Commerce, Ministry of Education’s Science and Technology Achievement Award, and the Science and Technology Innovation Award from the China Light Industry Federation.
  • Teaching Awards: Jiangsu Provincial Teaching Achievement Award (Second Prize, 2018), Best Teaching Award of Jiangnan University, Huawei Teaching Award (2022), and “Teacher of Pillars” by the Ministry of Education-Huawei Intelligent Base.

šŸ‘Øā€šŸ« Student Mentorship

Dr. Xia has guided students to remarkable achievements, including:

  • Bronze Medal at the ACM International Collegiate Programming Competition (ICPC)
  • First and Second Prizes in the national finals of digital media science and technology works
  • Excellent Instructor awards

šŸ“ˆ Professional Activities

  • Committee Memberships: Member of the Jiangsu Provincial Network and Distributed Computing Special Committee and the Jiangsu Provincial Characteristic Software Talent Training Special Committee.
  • Technical Consultancy: Provided expertise to the Wuxi Municipal Health Commission (2009-2020), Hengli Co., Ltd. (2016-2018), and Jiangsu Hualywood Investment Co., Ltd. (2021-present).
  • Journal Reviewer and Expert Evaluator: Reviewer for journals like “Complex & Intelligent Systems” and “Pattern Recognition and Artificial Intelligence,” and an expert in the fifth round of discipline evaluation (computer science and technology) by the Ministry of Education.

Publication Top Notes:

  • CMC-MMR: multi-modal recommendation model with cross-modal correction
    • Year: 2024
    • Journal: Journal of Intelligent Information Systems
  • Social Recommendation Model Based on Self-Supervised Graph Masked Neural NetworksĀ 
    • Year: 2023
    • Journal: Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence
  • Unexpected interest recommender system with graph neural network
    • Year: 2023
    • Journal: Complex and Intelligent Systems
  • Multi-feature Fusion Based Short Session Recommendation Model | 多ē‰¹å¾čžåˆēŸ­ä¼ščƝęŽØ荐ęؔ型
    • Year: 2023
    • Journal: Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence
  • Local and Global Feature Fusion Network Model for Aspect-Based Sentiment Analysis
    • Year: 2023
    • Journal: Journal of Frontiers of Computer Science and Technology