Assist Prof. Dr. Manoj Kumar | Machine Learning award | Best Researcher Award

Assist Prof. Dr. Manoj Kumar | Machine Learning award | Best Researcher Award

 

Assist Prof. Dr. Manoj Kumar , Rajkumar Goyal Institute of Technology, Ghaziabad, India

Dr. Manoj Kumar is a researcher specializing in Mathematics, particularly in the field of Traffic Congestion Modeling and Prediction. He earned his Ph.D. in Mathematics from Dr. B. R. Ambedkar University in Delhi, India, where his research focused on developing new indices, analyzing road segments and networks, and predicting congestion levels. His outstanding work led to him being awarded First Division in his Ph.D.

Prior to his Ph.D., Dr. Kumar completed his Master of Science (M.Sc.) in Mathematics with First Division from the National Institute of Technology in Jalandhar, India. He also holds a Bachelor of Science (B.Sc.) in Math, Physics, and Chemistry with First Division from Bundelkhand University in Jhansi, India.

Professional Profiles

 

šŸ“š Educational Odyssey

His academic prowess manifested early on, culminating in a Ph.D. in Mathematics from Dr. B. R. Ambedkar University. His doctoral thesis on “Traffic Congestion Modeling and Prediction” garnered widespread acclaim, earning him the prestigious First Division Award. Prior to this, he earned his stripes with a Master’s degree in Mathematics from the esteemed National Institute of Technology, Jalandhar, where he once again graduated at the top of his class.

šŸ”¬ Research Frontier

Dr. Kumar’s intellectual pursuits traverse diverse realms, from pioneering advancements in traffic congestion modeling to delving deep into the realms of deep learning and computer vision. His research endeavors encompass:

  • Traffic Congestion: Through his groundbreaking work, Dr. Kumar has developed novel indices and predictive models that have revolutionized our understanding of traffic dynamics.
  • Deep Learning: Continuously pushing the boundaries, he refines deep learning architectures to enhance prediction accuracy, unlocking new avenues for real-time traffic management.
  • Computer Vision: Dr. Kumar’s expertise extends to harnessing the power of computer vision to gather online data and detect objects, further enriching our understanding of traffic patterns.
  • Differential Equations: Leveraging artificial neural networks, he tackles complex differential equations, paving the way for innovative solutions in diverse mathematical domains.

šŸŒŸ Impact and Recognition

Dr. Kumar’s contributions have not gone unnoticed. His research has not only enriched academic discourse but also holds immense promise for practical applications in urban planning and transportation management. His scholarly pursuits, coupled with his unwavering commitment to excellence, have earned him accolades from peers and experts alike.

Publication Top Notes:
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Assoc .Prof. Dr.Hatem Khater| Signal processing and AI | Best Researcher Award

Assoc .Prof. Dr.Hatem Khater| Signal processing and AI | Best Researcher Award

Assoc .Prof. Dr.Hatem Khater,Horus University,Egypt

 

Dr. Hatem Khater is an accomplished academician with expertise in Computer Engineering and Systems. Holding a PhD from Kent University, UK, earned in 2008, Dr. Khater’s academic journey has been marked by excellence. Prior to his doctoral studies, he completed his MS.C in Electrical Engineering at Alexandria University in 1999, following his BS.C from the Military Technical College in 1992. With a distinguished teaching career, Dr. Khater has served in various capacities, including Assistant Professor at the Arab Academy for Science, Technology & Maritime Transport (AASTMT) from 2008 to 2019. Currently, he holds the position of Associate Professor at the Higher Technological Institute (HUE) and concurrently serves as the Vice Dean of the Faculty of Engineering, a testament to his leadership and administrative capabilities. Dr. Khater’s academic prowess is further evidenced by his extensive teaching experience in courses such as Advanced Programming Techniques, Software Engineering, Artificial Intelligence, and more. His contributions to the field of Computer Engineering and Systems extend beyond academia, with notable research publications and active participation in scholarly communities via platforms like Google Scholar and ResearchGate.

Professional Profile:

Scopus

Google Scholar

orcid

šŸŽ“ Education:

  • Ph.D. in Computer Engineering and Systems, Kent University, UK (2008)
  • M.Sc. in Electrical Engineering, Alexandria University (1999)
  • B.Sc. in Electrical Engineering, Military Technical College (1992)

šŸ‘Øā€šŸ’¼ Academic Employment History:

  • Associate Professor at HUE (Ongoing since 2019)
  • Assistant Professor at AASTMT (2019 – 2008)
  • Assistant Lecturer at Kent University (2008 – 2005)

šŸ“š Administrative Positions:

  • Vice Dean of the Faculty of Engineering at HUE (Ongoing since 2021)
  • Head of Mechatronics Dept. at HUE (2021 – 2019)

šŸ‘Øā€šŸ« Teaching Experience:

  • Advanced Programming Techniques
  • Software Engineering
  • Advanced Electronics
  • Artificial Intelligence
  • Computer Networks
  • Computer Security

Publication:

  1. A bi-objective Model for SVM with an interactive procedure to identify the best compromise solution
    • Year: 2020
    • Journal: 8th International Conference on Artificial Intelligence and Soft Computing
    • Cited By: 2
  2. A CNN Classification Model For Diagnosis Covid19
    • Year: 2020
    • Journal: Preprints
    • Cited By: 2
  3. A Composite Hybrid Feature Selection Learning-Based Optimization of Genetic Algorithm For Breast Cancer Detection
    • Year: 2020
    • Journal: Proceedings of 2020 the 2nd International Conference on Advanced Research
    • Cited By: 18
  4. A Fuzzy Interactive Bi-Objective Model for SVM to identify the best compromise solution for measuring the degree of infection with corona virus disease (COVID-19)
    • Year: 2021
    • Journal: International Journal of Fuzzy Logic Systems (IJFLS)
    • Cited By: 11
  5. A GIS-Based System to Resolve Emergency Routing Problems in Tobruk city, Libya
    • Year: 2011
    • Conference: 21st International Conference on Computer Theory and Applications (ICCTA)

Prof. Waleed Ead | Artificial Intelligence | Best Researcher Award

Prof. Waleed Ead | Artificial Intelligence | Best Researcher Award

Prof. Waleed Ead , Beni-Suef University , EgyptĀ 

As of my last knowledge update in January 2022, I don’t have specific information on Prof. Mohammed Hassan Ibrahim, the Faculty of Computers and Informatics at Fayum University. For the latest and most accurate information, I recommend checking the university’s official website, academic publications, or reaching out to the university directly.

If Prof. Mohammed Hassan Ibrahim has gained public recognition or has a professional profile online, you may find his short biography on platforms like LinkedIn, university websites, or academic databases. Additionally, contacting the university’s administration or department of computers and informatics could provide the information you’re looking for.

Professional Profiles:

Experience Summary:

  • Current Position: Director of AI Lab, Egypt-Japan University of Science and Technology
  • AI Lab Director since 2018, responsible for SAS Courses and AI capacity building
  • MIS Consultant at the Ministry of Higher Education, overseeing digital transformation strategies for Egyptian universities
  • Management Information System Director at Beni-Suef University, leading digital transformation projects
  • Technical Manager at ATC for Consultations and Training Systems

Industrial Development Tools Experience:

  • SASĀ® Studio, SASĀ® Programming, SASĀ® Viya, SASĀ® Visual Analytics
  • IBM SPSS Modeler, Watson Assistant, Watson Studio
  • Microsoft Power BI, SharePoint, PowerApps
  • MS Project, MS SQL Server, Visual Studio.NET (VB.NET, C#)
  • Oracle Primavera, SQL Plus, Oracle Express
  • Open Source: Python, R

Industrial Certifications:

  • SASĀ® Certified Educator (in progress)
  • SASĀ® Certified in Machine Learning using SASĀ® Viya
  • SASĀ® Certified Visual Analytics
  • SASĀ® Certified in Base Programming
  • IBM Artificial Intelligent Analyst
  • IBM BIG DATA Specialist
  • PMP Exam Preparation

Education:

  • Ph.D. in Computers and Informatics, Menoufia University, Egypt (2018)
  • M.Sc. in Computers and Informatics, Menoufia University, Egypt (2012)
  • B.Sc. in Information and Technology Systems, Zagazig University, Egypt (2004)

Academic Employment Experience:

  • Assistant Professor at Egypt-Japan University of Science and Technology
  • Assistant Professor at Beni-Suef University
  • Lecturer Associate at MUST University and Beni-Suef University
  • Teaching Assistant at October 6 University

Research Interests:

Privacy Preserving, Social Networks Analysis, Graph Mining, Data Mining, Cloud Computing, NoSQL DB, Data Security, Big Data Analytics, Machine Learning, Gene Analysis, Precision Medicine.

Academic Services:

Dr. Ead serves as an academic peer reviewer for various international journals and conferences. He has also contributed to the development of conference systems and has been involved in organizing international conferences.

Entrepreneurships and Startups:

  • Founder of IGreen (Intelligent Adaptive Environmental Farm)
  • Participant in Start Egypt and Flat6Labs

Social Impact:

Dr. Ead actively contributes to bridging the analytics gaps, raising awareness of IT and AI impact on society, and promoting STEM education. He has served as a judge for STEM INTEL ISEF projects and graduation projects.

Research Students:

Supervises Ph.D. and Master’s students in research domains such as Cyber-hygiene in digital transformation, Gene analysis in precision medicine, and Privacy Preserving in healthcare.

Teaching Academic Courses Experience:

Dr. Ead has extensive experience teaching courses in Data Mining, Machine Learning, Data Warehouse, Business Intelligence, Geographic Information System, Database Programming, Web Programming, and more.

Names of References:

  • Prof. Mansour Hassan, Beni-Suef University President
  • Prof. Hatem Sayed Ahmed, Dean, Faculty of Computers and Informatics, Menoufia University
  • Prof. Emad Saeid Elabd, Computers and Informatics, BU, KSA
  • Prof. Mohie Mohammed Hadhoud, Vice President of Menoufia University, Egypt
  • Prof. Ayman Sayed, Dean, Faculty of Electrical Engineering, Menoufia University
  • Prof. Mohammed Belal, Dean, Faculty of Computers and Information, Helwan University
  • Prof. Mohammed Hassan Ibrahim, Faculty of Computers and Informatics, Fayum University

Publication Top Notes:

Intelligent greenhouse management system

Citation : 44

Basics of Financial Data Analytics

Citation : 36

Automated Prediction of Employee Attrition Using Ensemble Model Based on Machine Learning Algorithms

Citation : 35

A general cyber hygiene approach for financial analytical environment

Citation : 34

IOT based on plant diseases detection and classification

Citation : 33