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.
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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.
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🛠️ 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.
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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

Prof. Dr. Kassem Kallas | Cyber | Best Researcher Award

Senior Scientist at National Institute of Health and Medical Research, France

Dr. Kassem Kallas, Ph.D., Ing., EMBA, is a Senior Scientist and Junior Professor specializing in Artificial Intelligence and Cybersecurity. He holds a Ph.D. in Information Engineering and Science from the University of Siena and an EMBA in Strategic Leadership from Valar Institute. With experience across academia and industry, Dr. Kallas has worked on major projects funded by DARPA, NIST, ANR, and INRIA. His research tackles adversarial machine learning, federated learning security, and watermarking in deep learning. He previously served as a Research Fellow at NIST and a Scientist at INRIA. Currently affiliated with INSERM and IMT Atlantique, his work focuses on AI privacy in healthcare. Recognized for research excellence, he earned top honors at ICASSP and MMEDIA, among others. He is an IEEE Senior Member, active mentor, and published expert in AI security, image forensics, and signal processing.

professional profile

Scopus Profile

Education

Dr. Kallas’s academic journey reflects interdisciplinary depth and global exposure. He is currently pursuing his Habilitation à Diriger des Recherches (HDR) at the University of Western Brittany (2024–2025), emphasizing AI security and intellectual property protection. He recently completed an Executive MBA (2023–2024) with a stellar 94.8 average, leading a consultancy project earning full marks. He earned a Ph.D. in Information Engineering and Science from the University of Siena (2013–2017), focusing on game-theoretic models for cybersecurity. He also completed a second-level Master’s in Wireless Systems from Politecnico di Torino (2012–2013), and holds an M.Sc. and B.Sc. in Telecommunications Engineering from Lebanese International University (2010, 2012). His educational trajectory demonstrates a blend of engineering, management, and strategic thinking that underpins his research and leadership roles.

work Experience

Dr. Kallas has held key roles across top institutions in AI and cybersecurity. Since December 2023, he serves as a Senior Scientist and Junior Professor at INSERM and IMT Atlantique, focusing on federated learning security in healthcare. Previously, he was a Research Scientist at INRIA (2022–2023), contributing to the SAIDA project for defense-oriented AI security. From 2020–2022, he served as a Research Fellow at the U.S. National Institute of Standards and Technology (NIST), enhancing wireless communication systems for nuclear and chemical applications. Earlier, he was an R&D consultant and postdoc at ViDiTrust and the University of Siena. He has also supervised numerous PhD and master’s projects, demonstrating his leadership in guiding AI innovation. His roles bridge research, development, and mentorship across global institutions and startups, with advisory positions in blockchain and digital forensics ventures.

Research Focus

Dr. Kallas’s research intersects AI, cybersecurity, and signal processing. His main focus lies in defending AI systems against adversarial threats—particularly backdoor attacks, watermarking of deep neural networks, and securing federated learning models in sensitive domains like healthcare. His doctoral work applied game-theoretic frameworks to sensor networks for adversarial information fusion. He has advanced the field through research on deep learning robustness, AI watermarking, and privacy-preserving machine learning. As part of SAIDA (INRIA), he investigated defense techniques for deep neural models in defense applications. At INSERM, he now applies these principles to medical data security, contributing to ethical and resilient AI in healthcare. He also co-supervises research on face recognition vulnerabilities and vision transformers. His strategic research outlook combines theory with real-world impact, pushing AI systems toward safety, accountability, and trust.

Awards and honors

Dr. Kallas’s career is marked by international recognition for academic and research excellence. He received the prestigious Top 3% Paper Award at ICASSP 2023 (among 6000+ submissions) and was honored with Springer’s Best-of-the-Best PhD Thesis recognition. At MMEDIA 2017, he earned the Best Paper Award for his contributions to multimedia forensics. His academic prowess was further recognized through the Zenith Scholarship from Valar Institute and an EMBA Excellence Award from Rennes School of Business. In 2022, he was elevated to IEEE Senior Member status, a recognition of his professional impact. He also received multiple research fellowships from EOARD and the University of Siena, supporting advanced studies in adversarial signal processing and game theory. Certified in GANs, Deep Learning, and Blockchain, Dr. Kallas continues to stand out as an influential figure in AI security and innovation.

🧰 Skills

Dr. Kallas brings a versatile skillset blending technical depth with strategic leadership. He is multilingual—fluent in Arabic (native), English (C1), Italian (C1), and French (B2)—and adept at academic writing, teaching, and public speaking. Technically, he excels in adversarial machine learning, image forensics, deep learning, AI system security, and watermarking. His experience includes designing security protocols, implementing AI-based systems, and consulting on wireless and blockchain technologies. He holds certifications in Machine Learning (Stanford), Deep Learning, GANs, and Data Science (IBM), and has completed specialized training in AI applications and doctoral supervision. His business acumen is proven through his EMBA and leadership of consultancy projects. His mentorship and jury participation in PhD and industrial internships further reflect his collaborative, research-driven mindset.

Conclusion

Dr. Kassem Kallas is an outstanding candidate for the Research for Best Researcher Award. His technical mastery, academic leadership, international reputation, and dedication to scientific advancement exemplify the qualities sought in a top-tier researcher. With continued outreach and translational focus, his already-impressive career is poised to reach even greater impact.

Publications to Noted

Title: Strategic safeguarding: A game theoretic approach for analyzing attacker-defender behavior in DNN backdoors
Authors:

Kassem Kallas

Quentin Le Roux

Wassim Hamidouche

Teddy Furon
Journal: EURASIP Journal on Information Security
Year: 2024

Title: A Double-Edged Sword: The Power of Two in Defending Against DNN Backdoor Attacks
Authors:

Quentin Le Roux

Kassem Kallas

Teddy Furon

🏆 Awards & Honors

Research Focus

🛠️ Skills

Conclusion

Publications to Noted

Kassem Kallas | Cyber | Best Researcher Award

Prof. Dr. Kassem Kallas | Cyber | Best Researcher Award

professional profile

Education

work Experience

Research Focus

Awards and honors

🧰 Skills

Conclusion

Publications to Noted

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