Razi Al-Azawi | Image Processing | Research Excellence Award

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Prof. Dr. Razi Al-Azawi | Image Processing | Research Excellence Award

University of Technology | Iraq

Prof. Dr. Razi Al-Azawi is a distinguished academic and researcher specializing in informatics, artificial intelligence, and advanced computational systems. He holds dual B.Sc. degrees in Laser and Optoelectronics Engineering from the University of Technology and Mathematical Sciences from Mustansiriah University, an M.Sc. in Modeling and Simulation from the University of Technology, and a PhD in Informatics from Kharkov National University of Radio Electronics. Over a career spanning more than two decades, he has taught a wide range of postgraduate and undergraduate courses, including image processing, deep learning, AI, modeling and simulation, information theory, optimization, probability, web design, and advanced programming. His research interests encompass machine learning, data mining, medical image analysis, laser engineering, cybersecurity, and advanced computational modeling. He has supervised over 50 undergraduate theses and numerous postgraduate dissertations at the Higher Diploma, M.Sc., and PhD levels. His scholarly output includes 16 documents, 264 citations by 257 documents, and an h-index of 6. He has served as a reviewer for several international journals and conferences and holds multiple patents under processing. Through his academic leadership and scientific contributions, he continues to advance innovation in computer science, AI, and engineering domains.

Profiles : Scopus |

Featured Publications

Mohammad Zahid | Cybersecurity Data Analysis | Young Scientist Award

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Mr. Mohammad Zahid | Cybersecurity Data Analysis | Young Scientist Award

Jamia Millia Islamia | India

Author Profile

Google Scholar

Mr. Mohammad Zahid

Junior Research Fellow | Ph.D. Scholar in Computer Science | Cybersecurity & AI Researcher

Summary

Mohammad Zahid is a motivated and research-focused computer science professional currently pursuing a Ph.D. in Computer Science at Jamia Millia Islamia, New Delhi. He is working as a Junior Research Fellow (JRF) with a specialization in IoT security, machine learning, deep learning, and federated learning. With strong analytical and technical skills, he is actively engaged in AI-driven cybersecurity research, aiming to develop intelligent systems for threat detection. Zahid is passionate about contributing to innovative and interdisciplinary projects in both academia and the tech industry.

Education

Mr. Zahid is currently enrolled in a Ph.D. program at Jamia Millia Islamia (Central University), New Delhi, with a research focus in computer science and AI. He holds a Master of Computer Applications (MCA) from Maulana Azad National Urdu University (MANUU), Hyderabad, where he graduated with an excellent academic record (87.6%). He also completed a Bachelor of Science (Hons) in Chemistry, Mathematics, and Physics from Aligarh Muslim University (AMU), Aligarh.

Professional Experience

As a Junior Research Fellow, Mr. Zahid is engaged in cutting-edge research related to cybersecurity and artificial intelligence. During his postgraduate studies, he developed a web-based fraud detection system that utilized machine learning algorithms to identify and visualize suspicious banking transactions. His hands-on experience includes technologies such as Java, MySQL, JavaScript, and HTML/CSS, with a strong foundation in data preprocessing and anomaly detection.

Research Interests

Mr. Zahid’s research interests span across IoT security, federated learning, machine learning, and deep learning. His current Ph.D. research is centered on AI-based cybersecurity frameworks, especially for detecting and mitigating threats in decentralized and IoT-based environments. He is particularly interested in applying federated learning models to preserve data privacy while improving detection efficiency in real-world systems.

Honors and Awards

Mr. Zahid was awarded the UGC Junior Research Fellowship (JRF) in Computer Science by the National Testing Agency (NTA) in March 2022, recognizing him among the top national-level researchers eligible for academic and research roles across Indian universities. He also received the Merit-cum-Means Scholarship for Professional Courses from the Ministry of Minority Affairs, Government of India, during his MCA studies (2018–2021), in acknowledgment of his academic performance and financial need.

Publications

 Empowering IoT Networks

Author: M Zahid, TS Bharati

Journal: Artificial Intelligence for Blockchain and Cybersecurity Powered IoT
Year: 2025

Enhancing Cybersecurity in IoT Systems: A Hybrid Deep Learning Approach for Real-Time Attack Detection

Author: M Zahid, TS Bharati
Journal: Discover Internet of Things, Volume 5(1), Page 73
Year: 2025

 Comprehensive Review of IoT Attack Detection Using Machine Learning and Deep Learning Techniques

Author: M Zahid, TS Bharati
Journal: 2024 Second International Conference on Advanced Computing & Communication
Year: 2024

Empowering IoT Networks: A Study on Machine Learning and Deep Learning for DDoS Attack

Author: M Zahid, TS Bharati
Journal: Artificial Intelligence for Blockchain and Cybersecurity Powered IoT
Year: 2025

Marcelo Ang – Machine Learning and AI Applications – Best Researcher Award 

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Prof Dr. Marcelo Ang - Machine Learning and AI Applications - Best Researcher Award 

National University of Singapore - Singapore

Author Profile

Early Academic Pursuits

Prof Dr. Marcelo H. Ang Jr.'s academic journey is marked by impressive scholarly achievements beginning with his education in the Philippines at De La Salle University, where he earned dual Cum Laude honors in Mechanical Engineering and Industrial Management Engineering in 1981. His pursuit of higher education led him to the University of Hawaii at Manoa, where he obtained an M.S. in Mechanical Engineering with a focus on the application of robotics in agriculture, specifically sugarcane propagation. He furthered his studies at the University of Rochester, earning both an M.S. and a Ph.D. in Electrical Engineering, with research focused on robotic manipulators—a foundational area that would define much of his future work.

Professional Endeavors and Contributions

Prof Dr. Marcelo H. Ang Jr. has had a distinguished career at the National University of Singapore (NUS), where he has held multiple leadership roles, including Director of the Advanced Robotics Center and Professor in the Department of Mechanical Engineering. His career began as an assistant professor at the University of Rochester before returning to Asia to shape Singapore's engineering and robotics landscape. Over the years, Ang has been instrumental in developing several academic programs at NUS, enhancing the university’s educational offerings significantly in the areas of robotics, mechatronics, and technology management.

Research Focus

Prof Dr. Ang's research interests are broad yet focused on critical areas of robotics and intelligent systems that include mobile robotic manipulation in unstructured environments, compliant motion and force control, self-driving vehicles, and distributed autonomous robotics systems. His work often employs advanced computational methods like deep learning, genetic algorithms, and fuzzy reasoning. These research endeavors aim not only to advance the theoretical aspects of robotics but also to find practical applications that enhance industrial productivity and everyday life.

Accolades and Recognition

Throughout his career, Ang has received numerous accolades that recognize his contributions to both academia and industry. These include the prestigious Capek Award for his contributions to the development and practical application of robotics and the Andrew P. Sage Best Transactions Paper Award from the IEEE Transactions on Systems, Man, and Cybernetics. His achievements are a testament to his leadership in the field and his commitment to advancing robotics technology and education globally.

Impact and Influence

Prof Dr. Ang's influence extends beyond academia into professional and societal contributions in the field of robotics. He has served as President of the International Steering Committee of the World Robot Olympiad, demonstrating his commitment to promoting robotics education worldwide. His work has not only shaped research and development strategies at NUS but has also influenced national and international robotics policies and initiatives.

Legacy and Future Contributions

Looking forward, Ang continues to shape the future of robotics with his involvement in developing new academic programs like the BEng in Intelligent Machines and an MSc in Robotics. His ongoing research and educational initiatives are likely to inspire the next generation of engineers and roboticists. Ang's legacy is that of a pioneer in robotics education and research, having laid down a robust framework for future exploration and innovation in the field. His continued efforts in advancing robotics technology promise further contributions that aim to solve real-world problems through innovative solutions.

Marcelo H. Ang Jr.’s career embodies a lifelong dedication to education, innovation, and the practical application of robotics technology in society. His contributions have not only been recognized through various awards but have also had a tangible impact on the engineering and robotics communities globally. As he continues to drive forward in his field, his work is set to inspire and shape future developments in robotics and automation.

Citations

A total of 131 citations for his publications, demonstrating the impact and recognition of her research within the academic community.

  • Citations    11471
  • h-index        51
  • i10-index     82

Notable Publication