Abdelmoaty Mahmoud | Computer Science | Best Research Article Award

Published on 18/06/202518/06/2025 by TOT Awards

Assist. Prof. Dr. Abdelmoaty Mahmoud | Computer Science | Best Research Article Award

Assistant Professor at Ajloun National University, Egypt

Dr. Abdelmoty Mahmoud Mohamed Ahmed is a distinguished academic with over 20 years of teaching and research experience across Egypt, Saudi Arabia, and Jordan. Currently serving as an Associate Professor at the College of Information Technology, Ajloun National University, Jordan, he also holds the Vice Dean position at Al-Nahda University in Egypt. Dr. Abdelmoty specializes in Artificial Intelligence, Machine Learning, Computer Vision, and E-learning. His notable contributions include systems to support individuals with hearing and speech impairments, as well as AI applications in public health. With a passion for quality education, he leads academic accreditation and quality assurance efforts. He has supervised numerous projects and published extensively in SCI and Scopus-indexed journals. His career reflects a commitment to innovation, student development, and community service.

professional profile

ORCID

Scopus Profile

Google Scholar

Education

Dr. Abdelmoty earned all his academic degrees from Al-Azhar University, Cairo, Egypt.

Ph.D. (2014–2021) in Systems and Computers Engineering: Focused on developing an Arabic sign language translation system, integrating Artificial Intelligence and Computer Vision.
M.Sc. (2004–2007) in Systems and Computers Engineering: Developed an electronic business system using GIS technologies.
B.Sc. (1998–2003) in Systems and Computers Engineering: Graduated with a commendable grade of 80.93%.
His education reflects a progressive deepening in systems engineering, with specialization in AI-based assistive technologies, particularly for those with special needs.
🎓📊💻

Work Experience

Dr. Abdelmoty has held academic roles from Lecturer to Associate Professor at top institutions including King Khalid University (Saudi Arabia), Al-Nahda University (Egypt), and Ajloun National University (Jordan). Over the past two decades, he has taught a wide range of subjects—Artificial Intelligence, Python, IoT, Computer Architecture, and more. As Vice Dean and Quality Assurance Head at Al-Nahda University, he led academic planning and assessment. His work includes supervising graduation projects like smart gloves for sign language and IoT-based health systems. His teaching methodology blends modern pedagogy with technological innovation.

🏆 Awards & Honors

Dr. Abdelmoty has been a recipient of multiple funded research grants from King Khalid University, Saudi Arabia, totaling over 300,000 SAR. These projects focused on cutting-edge technologies, including:

AI-based Sign Language Translators
COVID-19 Prediction Models
Smart Hadith Classification Systems
IoT-driven Plant Disease Detection
His projects reflect real-world impact and community service relevance. Additionally, he is honored for his leadership roles in quality assurance and curriculum development. His contributions to deaf-mute assistance technologies have received community recognition.

Research Focus

Dr. Abdelmoty’s research revolves around:

Artificial Intelligence & Machine Learning 🤖
Computer Vision & Pattern Recognition 👁️
Image Processing 🖼️
Human-Computer Interaction (HCI) 🧠💻
Internet of Things (IoT) 🌐
E-Learning Technologies 🧑‍🎓
He is particularly passionate about developing intelligent assistive technologies for people with special needs. His work blends engineering precision with a humanitarian outlook. Through AI-enhanced systems for translation, education, and medical prediction, his research consistently addresses social challenges and enhances accessibility.
🔍🌍📡

🛠️ Skills

Technical Skills:

Programming: Python 🐍, Java ☕, C++, Visual Basic
Databases: SQL, Access 📊
Software: MATLAB, SPSS, MS Office, WordPress
Tools: HTML, CMS platforms 🌐
Soft Skills:
Effective Communicator 📣
Strategic Planner 🧭
Team Collaborator 🤝
Quick Learner and Problem Solver 🔍
He is proficient in modern teaching techniques, curriculum development, assessments, and quality assurance. His dual technical and interpersonal strengths make him a holistic academic leader.
🧑‍💻🔧📘

Conclusion

Dr. Abdelmoty M. M. Ahmed is a highly qualified candidate for the Research for Best Research Article Award, especially if a standout article is formally submitted as part of the application. His rich academic background, broad research interests, social relevance, and dedication to technology for special needs communities showcase his innovative and applied impact in computing and AI.

Publications to Noted

Integrated Mediapipe with a CNN Model for Arabic Sign Language Recognition

Authors: AMJAL Moustafa, MS Mohd Rahim, B Bouallegue, MM Khattab, AM Ahmed

Citations: 17

Year: 2023

A Model for Qur’anic Sign Language Recognition Based on Deep Learning Algorithms

Authors: HA AbdElghfar, AM Ahmed, AA Alani, HM AbdElaal, B Bouallegue

Citations: 16

Year: 2023

Towards the Design of Automatic Translation System from Arabic Sign Language to Arabic Text

Authors: AM Ahmed, RA Alez, G Tharwat, M Taha, W Ghribi, AS Badawy

Citations: 13

Year: 2017

A Secure Hardware Implementation for Elliptic Curve Digital Signature Algorithm

Authors: M Bedoui, B Bouallegue, AM Ahmed, B Hamdi, M Machhout, Mahmoud

Citations: 12

Year: 2023

A Hybrid Regularization-Based Multi-Frame Super-Resolution Using Bayesian Framework

Authors: MM Khattab, AM Zeki, AA Alwan, B Bouallegue, SS Matter, AM Ahmed

Citations: 12

Year: 2023

An Innovative Hybrid Method for Islanding Detection Using Fuzzy Classifier

Authors: YA Elshrief, AD Asham, B Bouallegue, A Ahmed, DH Helmi, BA Abozalam

Citations: 12

Year: 2022

Assessing the Relation Between Family Background and Juvenile Delinquency Using Data Mining

Authors: SB Changalasetty, B Belgacem, AS Badawy, W Ghribi, AM Ahmed

Citations: 11

Year: 2019

Arabic Sign Language Translator

Authors: AM Ahmed, RA Alez, G Tharwat, M Taha, B Belgacem, AM Al Moustafa

Citations: 11

Year: 2019

SAR Image Matching Based on Local Feature Detection Using CNN

Authors: M Elwan, AS Amein, A Mousa, AM Ahmed, B Bouallegue, AS Eltanany

Citations: 10

Year: 2022

Regularized Multiframe Super‐Resolution Image Reconstruction Using Linear and Nonlinear Filters

Authors: MM Khattab, AM Zeki, AA Alwan, B Bouallegue, SS Matter, AM Ahmed

Citations: 10

Year: 2021

Rule-Based Mining of Juvenile Delinquency

Authors: LS Thota, K Shireesha, A Sravani, S Rajender, SB Changalasetty, AM Ahmed

Citations: 10

Year: 2020

QSLRS-CNN: Qur’anic Sign Language Recognition System Based on CNN

Authors: HA AbdElghfar, AM Ahmed, AA Alani, HM AbdElaal, B Bouallegue

Citations: 9

Year: 2024

vasavi S | Computer Science | STEM Education Leadership

Published on 12/11/202412/11/2024 by TOT Awards

Prof. Dr. vasavi S | Computer Science | STEM Education Leadership

Professor & Head at Velagapudi Ramakrishna Siddhartha Engineering College, India

Dr. S. Vasavi, Professor and Head of the AI & DS Department, boasts a robust 27-year career in teaching and research. Her work spans extensive funded projects with organizations such as ISRO, DST, and IEEE, totaling approximately 1.3 crores INR. Dr. Vasavi collaborates with international universities and national R&D institutions on projects in remote sensing, predictive analytics, and big data, producing more than 100 publications in SCI, Scopus, and Google Scholar-indexed journals, along with several patents. Recognized with numerous awards, she is an influential figure in the field, committed to developing educational programs and advancing AI applications in STEM.

professional profiles

Scopus Profile

Google Scholar

ORCID

Education

Dr. Vasavi has a robust academic foundation with advanced degrees in Computer Science and Engineering. She pursued her undergraduate studies in Computer Science and later obtained her M.Tech, specializing in Artificial Intelligence and Data Science. Following her master’s, she completed a Ph.D., with research focusing on AI-driven solutions in remote sensing and data analytics. Her continuous professional development includes specialized training and certifications from global institutions, broadening her expertise in areas like geospatial analysis, drone technology, and cloud data analytics. Dr. Vasavi has also been a visiting scholar at prominent institutions such as Illinois State University and Saint Augustine’s University in the United States. Her education has played a critical role in forming her research approach, blending technical expertise with a passion for solving real-world problems. This educational background has laid the groundwork for her impactful research contributions to AI applications and interdisciplinary STEM fields.

work Experience

Dr. S. Vasavi brings a diverse and rich experience portfolio, with 26 years in academia and one year in industry. Currently, she is the Head of the AI & DS Department at VR Siddhartha Engineering College, where she has spearheaded multiple funded projects and collaborated with renowned institutions like ISRO and NRSC. Her international collaborative research with universities across the U.S., Singapore, Canada, and Mexico has led to impactful publications and solutions in geospatial analysis, disaster management, and healthcare analytics. As an active member of various IEEE groups, she has chaired sessions and delivered keynote lectures at significant conferences worldwide, enhancing her global research network. Dr. Vasavi’s blend of academic, research, and administrative roles positions her as a key driver in advancing AI and data science education, and she continues to inspire her students by guiding them through hands-on research and industry-driven projects.

Awards and honors

Dr. Vasavi’s achievements have been recognized through numerous awards. She has received the Best Teacher Award and Outstanding Women in Engineering Award for her contributions to STEM education and research. Her groundbreaking research has earned her accolades such as the Best Paper Award at the IEEE IEMCON conference at the University of British Columbia, Canada, and at ICACI 2020 in Mysore, India. She is also an honored Senior Member of IEEE and received travel grants for presenting her work in the U.S. and Thailand. Dr. Vasavi’s exceptional contributions in AI have earned her the title of Academic Titan Achievement Award and Vishitta Mahila Award, celebrating her role as a trailblazer in engineering and education. Furthermore, as an Honorary Rosalind Member of London Journals Press, Dr. Vasavi’s influence extends internationally, reinforcing her position as an esteemed researcher and advocate for women in STEM.

Research Focus

Dr. Vasavi’s research spans multiple domains within AI, with a core focus on remote sensing, predictive analytics, and big data. She collaborates extensively on AI-driven projects addressing societal issues, such as disaster management, environmental sustainability, and healthcare innovations. Her ongoing work includes developing algorithms for urban GIS change detection, multi-object detection using edge computing frameworks, and crowd surveillance through hybrid deep learning. Dr. Vasavi’s interdisciplinary research bridges the gap between academia and industry, partnering with institutions like ISRO and the National Remote Sensing Center (NRSC) to create impactful AI applications in space and geospatial analysis. Her involvement in drone-based video processing and climate change analysis emphasizes her dedication to using AI for real-world solutions. With her guidance, these projects not only enhance AI applications but also foster meaningful research opportunities for her students and collaborators, advancing STEM education in the process.

Skills

Dr. Vasavi’s skill set encompasses a wide range of technical and research abilities. She is proficient in Big Data Analytics and Predictive Analytics, leveraging tools like Hadoop, MongoDB, and Spark for large-scale data processing. Her expertise in Remote Sensing allows her to apply AI techniques to analyze high-resolution images and develop models for urban change detection. She is skilled in Deep Learning and Computer Vision for applications in surveillance and object detection, using frameworks like TensorFlow and OpenCV. Her knowledge extends to Cloud Computing and Edge Computing, with experience in real-time processing for satellite data. Dr. Vasavi’s project management and collaboration skills have enabled her to lead funded research projects and international partnerships successfully. Additionally, her communication and leadership skills are evident through her role as an educator, mentor, and active participant in conferences, solidifying her position as an influential leader in AI and STEM education.

Conclusion

Dr. S. Vasavi’s extensive experience, international collaborations, funded projects, and high-impact research position her as a strong candidate for the STEM Education Leadership Award. Her work demonstrates excellence in advancing STEM-related research and applications, particularly in AI and remote sensing. With a slight increase in educationally-focused initiatives, Dr. Vasavi’s profile would align even more closely with the award’s emphasis on leadership in STEM education, potentially making her an ideal recipient for this honor.

Publications to Noted

“Invariant feature-based darknet architecture for moving object classification”

Authors: S. Vasavi, N.K. Priyadarshini, K. Harshavaradhan

Citations: 59

Year: 2020

“Extracting hidden patterns within road accident data using machine learning techniques”

Authors: S. Vasavi

Citations: 31

Year: 2018

“Study on Techniques for Providing Enhanced Security During Online Exams”

Authors: N. Sai Soujanya, T., Dr. S. Vasavi, S. Anusha

Citations: 26

Year: 2012

“Predictive analytics as a service for vehicle health monitoring using edge computing and AK-NN algorithm”

Authors: S. Vasavi, K. Aswarth, T.S.D. Pavan, A.A. Gokhale

Citations: 24

Year: 2021

“Prediction of temperature anomaly in Indian Ocean based on autoregressive long short-term memory neural network”

Authors: M.S. Pravallika, S. Vasavi, S.P. Vighneshwar

Citations: 18

Year: 2022

“Framework for Predictive Analytics as a Service using ensemble model”

Authors: S.K. Babu, S. Vasavi, K. Nagarjuna

Citations: 18

Year: 2017

“Detection of solitary ocean internal waves from SAR images by using U-Net and KDV solver technique”

Authors: S. Vasavi, C. Divya, A.S. Sarma

Citations: 16

Year: 2021

“Hadoop framework for entity resolution within high velocity streams”

Authors: S.P. Benny, S. Vasavi, P. Anupriya

Citations: 16

Year: 2016

“A Survey on Extracting Hidden Patterns within Road Accident Data using Machine Learning Techniques”

Authors: S. Vasavi

Citations: 14

Year: 2016

“Age detection in a surveillance video using deep learning technique”

Authors: S. Vasavi, P. Vineela, S.V. Raman

Citations: 12

Year: 2021

🏆 Awards & Honors

Research Focus

🛠️ Skills

Conclusion

Publications to Noted

vasavi S | Computer Science | STEM Education Leadership

Prof. Dr. vasavi S | Computer Science | STEM Education Leadership

professional profiles

Education

work Experience

Awards and honors

Research Focus

Skills

Conclusion

Publications to Noted

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