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

Yang Dong | Quantum control | Best Researcher Award

Posted on 24/04/202524/04/2025 by TOT Awards

Mr. Yang Dong | Quantum control | Best Researcher Award

Assistant Researcher at University of Science and Technology of China, China

Mr. Yang Dong is an Associate Researcher at the CAS Key Laboratory of Quantum Information, University of Science and Technology of China (USTC), Hefei. His research passion lies in quantum control and quantum sensing, particularly utilizing solid-state spins in diamond. A driven scientist, he has made significant contributions to precision quantum measurement techniques, helping advance the capabilities of quantum technology. Mr. Dong’s academic path and postdoctoral training were marked by persistence and innovation, enabling him to transition into a leading researcher role. Known for his collaborative spirit and technical acumen, he actively contributes to the academic community through research, mentorship, and publications. He plays a vital role in experimental and applied quantum science, aiming to develop scalable quantum systems and enhance sensing precision. Mr. Dong continues to push the boundaries of quantum research, making impactful strides in China’s scientific and technological growth.

professional profile

Google Scholar

Education

Mr. Yang Dong received his Bachelor of Science in Nuclear Science and Technology from Lanzhou University, China, in June 2013. He then pursued a Ph.D. in Optics and Optical Engineering at the University of Science and Technology of China (USTC), which he successfully completed in June 2018. During his doctoral studies, he developed a strong foundation in quantum optics, laser systems, and quantum information science. His educational journey has been consistently aligned with emerging trends in quantum physics, providing him with both theoretical insights and experimental skills. Under the mentorship of esteemed faculty at USTC, he honed his capabilities in quantum measurement, spin physics, and optical system integration. His formal education, combined with rigorous training, has equipped him to lead cutting-edge projects in quantum sensing and control, making his academic background a critical pillar of his research excellence.

work Experience

Following his Ph.D., Mr. Yang Dong joined the CAS Key Laboratory of Quantum Information at USTC as a Postdoctoral Fellow from 2018 to 2020. In this role, he was deeply involved in quantum sensing experiments, focusing on diamond-based spin systems. His postdoctoral research led to significant advancements in quantum readout fidelity and spin coherence. In 2020, he was appointed Assistant Researcher and subsequently Associate Researcher, reflecting his rapid academic growth and research impact. Over the past years, he has taken lead roles in collaborative research initiatives, particularly those bridging theory and practical implementation of solid-state quantum systems. He has also mentored graduate students, supported cross-disciplinary projects, and presented at numerous scientific conferences. Mr. Dong’s experience is a blend of academic depth, hands-on lab proficiency, and forward-thinking innovation in quantum technologies.

Research Focus

Mr. Yang Dong’s primary research focus is on quantum control and quantum sensing using solid-state spins in diamond, such as nitrogen-vacancy (NV) centers. His work is instrumental in enhancing spin readout precision, coherence times, and quantum state manipulation. He explores hybrid quantum systems that couple NV centers with photonic or mechanical components, enabling advanced sensing in nanoscience and biology. His research extends to precision magnetometry, thermometry, and quantum-enhanced imaging. With growing interest in real-world quantum applications, he aims to scale solid-state qubits into robust, deployable sensors. His innovations also contribute to national quantum infrastructure development, providing insights into fault-tolerant control systems and miniaturized quantum devices. Mr. Dong’s contributions are bridging fundamental science and technological innovation in the quantum realm.

Awards and honors

Mr. Yang Dong’s dedication to quantum research has earned him several accolades. Though specific titles of awards are not listed publicly, he has been consistently recognized within his institution for outstanding contributions to quantum sensing and control. He has been part of award-winning research teams at USTC, and his work has been published in top-tier journals, reflecting the high esteem he commands in the academic community. His postdoctoral work received commendation for innovation in solid-state quantum systems. He has also been invited to contribute to major national research projects and quantum tech collaborations, showcasing the broader impact of his work. In addition to formal recognition, he is frequently called upon as a reviewer and advisor in peer-reviewed publications and grant committees, confirming his expert status in the field.

Conclusion

The candidate shows strong potential and is highly suitable for the Research for Best Researcher Award, especially given their specialization in a highly advanced field of quantum sensing and control. To solidify their candidacy, the addition of publication metrics, citation impact, and prior recognitions would be beneficial. Overall, the researcher’s trajectory, institutional affiliation, and focus area align well with the prestige and vision of the award.

Publications to Noted

📘 Robust optical-levitation-based metrology of nanoparticle’s position and mass
- Authors: Y Zheng, L.M. Zhou, Y. Dong, C.W. Qiu, X.D. Chen, G.C. Guo, F.W. Sun
- Journal: Physical Review Letters, 124 (22), 223603
- Citations: 83
- Year: 2020
📘 Non-Markovianity-assisted high-fidelity Deutsch–Jozsa algorithm in diamond
- Authors: Y. Dong, Y. Zheng, S. Li, C.C. Li, X.D. Chen, G.C. Guo, F.W. Sun
- Journal: npj Quantum Information, 4 (1), 3
- Citations: 59
- Year: 2018
📘 Coherent dynamics of multi-spin V center in hexagonal boron nitride
- Authors: W. Liu, V. Ivády, Z.P. Li, Y.Z. Yang, S. Yu, Y. Meng, Z.A. Wang, N.J. Guo, F.F. Yan, Y. Dong, et al.
- Journal: Nature Communications, 13 (1), 5713
- Citations: 55
- Year: 2022
📘 Temperature dependent energy gap shifts of single color center in diamond based on modified Varshni equation
- Authors: C.C. Li, M. Gong, X.D. Chen, S. Li, B.W. Zhao, Y. Dong, G.C. Guo, F.W. Sun
- Journal: Diamond and Related Materials, 74, 119–124
- Citations: 53
- Year: 2017
📘 A robust fiber-based quantum thermometer coupled with nitrogen-vacancy centers
- Authors: S.C. Zhang, Y. Dong, B. Du, H.B. Lin, S. Li, W. Zhu, G.Z. Wang, X.D. Chen, et al.
- Journal: Review of Scientific Instruments, 92 (4)
- Citations: 44
- Year: 2021
📘 Spin depolarization effect induced by charge state conversion of nitrogen vacancy center in diamond
- Authors: X.D. Chen, L.M. Zhou, C.L. Zou, C.C. Li, Y. Dong, F.W. Sun, G.C. Guo
- Journal: Physical Review B, 92 (10), 104301
- Citations: 40
- Year: 2015
📘 Near-infrared-enhanced charge-state conversion for low-power optical nanoscopy with nitrogen-vacancy centers in diamond
- Authors: X.D. Chen, S. Li, A. Shen, Y. Dong, C.H. Dong, G.C. Guo, F.W. Sun
- Journal: Physical Review Applied, 7 (1), 014008
- Citations: 35
- Year: 2017
📘 Quantum imaging of the reconfigurable VO₂ synaptic electronics for neuromorphic computing
- Authors: C. Feng, B.W. Li, Y. Dong, X.D. Chen, Y. Zheng, Z.H. Wang, H.B. Lin, W. Jiang, et al.
- Journal: Science Advances, 9 (40), eadg9376
- Citations: 28
- Year: 2023
📘 Focusing the electromagnetic field to 10⁻⁶λ for ultra-high enhancement of field-matter interaction
- Authors: X.D. Chen, E.H. Wang, L.K. Shan, C. Feng, Y. Zheng, Y. Dong, G.C. Guo, et al.
- Journal: Nature Communications, 12 (1), 6389
- Citations: 28
- Year: 2021
📘 Quantum enhanced radio detection and ranging with solid spins
- Authors: X.D. Chen, E.H. Wang, L.K. Shan, S.C. Zhang, C. Feng, Y. Zheng, Y. Dong, et al.
- Journal: Nature Communications, 14 (1), 1288
- Citations: 27
- Year: 2023

🏆 Awards & Honors

Research Focus

🛠️ Skills

Conclusion

Publications to Noted

Yang Dong | Quantum control | Best Researcher Award

Mr. Yang Dong | Quantum control | Best Researcher Award

professional profile

Education

work Experience

Research Focus

Awards and honors

Conclusion

Publications to Noted

RECOMMENDED

Mail us

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

professional profile

Education

Work Experience

🏆 Awards & Honors

Research Focus

🛠️ Skills

Conclusion

Publications to Noted

Mr. Yang Dong | Quantum control | Best Researcher Award

professional profile

Education

work Experience

Research Focus

Awards and honors

Conclusion

Publications to Noted