Saman Iftikhar | Cyber Security | Best Researcher Award

Saman Iftikhar | Cyber Security | Best Researcher Award

Dr Saman Iftikhar, Arab Open University, Saudi Arabia

Dr. Saman Iftikhar is an Assistant Professor at Arab Open University, Jeddah, Saudi Arabia, with a Ph.D. in Information Technology from NUST, Pakistan. He specializes in Cyber Security, Forensic Computing, Software Engineering, and Computer Science. He teaches various advanced courses, including CISCO CCNA, Software Engineering, and Algorithms. Dr. Iftikhar has published extensively in journals such as IEEE Access and the Egyptian Informatics Journal. He holds certifications in Ethical Hacking, CCNA, and Python Programming. With experience in supervising graduation projects, his research focuses on enhancing blockchain security, spam detection, and hate speech detection. πŸ–₯οΈπŸ”πŸ“šπŸ’‘

Publication Profile

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QualificationΒ 

Dr. Saman Iftikhar holds a Ph.D. in Information Technology (2014) with a 3.5/4.0 GPA from the School of Electrical Engineering and Computer Sciences (SEECS) at the National University of Science and Technology (NUST) in Islamabad, Pakistan. He also earned an MS in Information Technology (2008) with a 3.33/4.0 GPA from SEECS, NUST. Dr. Iftikhar completed his BS in Computer Science (2005) with a 3.56/4.0 GPA from the Department of Computer Science at the University of Faisalabad, Pakistan. His academic journey reflects his deep commitment to excellence in the field of Information Technology. πŸŽ“πŸ’»πŸ“š

Experience

Dr. Saman Iftikhar is an accomplished academic with teaching experience at prestigious institutions like the Arab Open University and Prince Mugrin University. Specializing in cybersecurity, forensic computing, software engineering, and computer science, he has made significant contributions to these fields. His academic leadership is evident through his role in guiding students on various projects and managing examinations. Dr. Iftikhar’s dedication to education is reflected in his continuous efforts to shape future professionals in the tech industry. πŸŒπŸ’»πŸ“šπŸ”πŸŽ“

Teaching & Mentorship

Dr. Saman Iftikhar is an expert in advanced computing technologies, teaching courses such as CISCO CCNA, Cybersecurity, Software Engineering, and Data Structures at the bachelor’s level. He is dedicated to providing his students with a strong foundation in modern computing principles. As a graduation project supervisor, Dr. Iftikhar plays a pivotal role in mentoring students, guiding them to achieve practical, real-world outcomes. His passion for education and hands-on approach ensures that his students are well-prepared for future challenges in the field of technology. πŸ‘¨β€πŸ«πŸ’»πŸ”πŸ“š

Certifications

Dr. Saman Iftikhar is a highly skilled professional in information technology, certified in Ethical Hacking, CCNA, Cybersecurity, and JavaScript. With extensive expertise across multiple IT domains, he also holds certifications in Networking and Programming, further solidifying his credibility and competence. His broad knowledge in these areas allows him to navigate complex technical challenges and stay updated with the ever-evolving technology landscape. Dr. Iftikhar’s dedication to continuous learning and his commitment to excellence make him a valuable asset in the field of IT. πŸ’»πŸ”’πŸŒπŸ“‘πŸ‘¨β€πŸ’»

Research Grants

Dr. Saman Iftikhar has successfully led and contributed to two major research projects at Arab Open University, Saudi Arabia, during 2023-2024. In Project 1, with a total funding of 45,000 SAR, Dr. Iftikhar served as the Head of the research group, guiding the team to completion. Similarly, in Project 2, with the same funding amount, he played a pivotal role as Co-Head of the research group, also achieving successful completion. His leadership and collaborative efforts have made significant contributions to the university’s research initiatives. πŸ§‘β€πŸ”¬πŸ“ŠπŸ’‘πŸ“š

Research Projects

Dr. Saman Iftikhar has contributed significantly to various fields, particularly in the intersection of machine learning, IoT, and cyber security. His work includes Malaria Blood Smear Classification using deep learning 🦠, Sentiment Analysis of customer reviews on Amazon πŸ“Š, and Optimal Pathfinding for self-driving vehicles using the Bat algorithm πŸš—. He has also developed a Supervised Feature Selection Method for detecting malicious intrusions in IoT systems πŸ›‘οΈ and explored blockchain-based secured IoT vehicular networks in edge computing 🌐. His research extends to emotion recognition from Urdu speech corpus 🎀 and cybersecurity strategies for countering cyber terrorism in Saudi Arabia πŸ”’.

Research Focus

Dr. Saman Iftikhar’s research primarily focuses on advanced computational techniques in cybersecurity, blockchain technology, and machine learning. His work explores innovative approaches to spam detection, hate speech detection, and data protection in digital platforms through hybrid models combining linguistic and behavioral features. He also delves into blockchain security, leveraging multimedia forensics and multi-party computation to safeguard supply chain data. Furthermore, his research includes enhancing Internet of Things (IoT) networks, using deep reinforcement learning for utility-driven network slicing and quality of service (QoS) optimization. His studies bridge the gap between IoT, blockchain, and cybersecurity in edge computing. πŸ”πŸ’»πŸ”—πŸ“‘

Publication Top Notes

Nadeem Ahmed | Cybersecurity and Cryptography | Best Researcher Award

Nadeem Ahmed | Cybersecurity and Cryptography | Best Researcher Award

Dr Nadeem Ahmed, Mehran University of Engineering and Technology Jamshoro, Pakistan

Based on Dr. Nadeem Ahmed’s extensive qualifications and contributions to research in electronic science, particularly in vehicular networks, I believe he is a highly suitable candidate for the Best Researcher Award.

Publication profile

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Educational Background

Dr. Nadeem Ahmed completed his Ph.D. in Electronic Science at Beijing University of Post & Telecommunication in 2024, having previously earned an M.E. in Information Technology in 2014 and a B.E. in Telecommunication in 2006 from Mehran UET, Jamshoro, Pakistan.

Research Expertise

His specialization includes vehicular networks, VANET security, and artificial intelligence (AI). Dr. Ahmed’s research focuses on the security challenges in vehicular networks, specifically in the Internet of Vehicles (IoV) and Internet of Things (IoT) environments. He has published numerous peer-reviewed articles in highly regarded journals indexed in the Science Citation Index (SCI), demonstrating a commitment to advancing knowledge in his field.

Professional Experience

Since 2010, Dr. Ahmed has served as a Lab Supervisor at the Department of Telecommunication Engineering at Mehran UET. He has mentored junior researchers and undergraduate/postgraduate students, integrating interdisciplinary approaches into his teaching and research. His key responsibilities include preparing course materials, supervising lab sessions, and creating an engaging learning environment.

Research Contributions

Dr. Ahmed’s work in vehicular network security and AI applications has positioned him as a leader in his field. His collaborative efforts in developing innovative solutions for wireless network security underscore his dedication to both academic excellence and practical applications.

Mentorship and Teaching

He has actively mentored students and junior researchers, guiding them in their projects and academic writing, fostering a culture of critical thinking and problem-solving.

Awards and Recognition

  • Awarded a fully-funded scholarship by the Chinese Scholarship Council (CSC) for his Ph.D. studies.
  • Recognized for his commitment to advancing technology and research in telecommunications and cybersecurity.

Publication top notes

Advanced machine learning approach for DoS attack resilience in internet of vehicles security

Secure and Reliable Routing in the Internet of Vehicles Network: AODV-RL with BHA Attack Defense.

Achieving model explainability for intrusion detection in VANETs with LIME

Conclusion

Dr. Nadeem Ahmed’s robust research portfolio, innovative contributions to vehicular networks, and dedication to education and mentorship make him a deserving candidate for the Best Researcher Award. His work not only enhances academic knowledge but also has practical implications for the future of telecommunications and cybersecurity.