Dr. Muhammad Asad Saleem | Information Security | Best Researcher Award

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Dr. Muhammad Asad Saleem | Information Security | Best Researcher Award

Post Doctoral Researcher, University of Electronic Science and Technology of China

Dr. Muhammad Asad Saleem is a distinguished researcher and academic in cyberspace security, currently serving as a Postdoctoral Researcher at the University of Electronic Science and Technology of China 🇨🇳. With a strong background in computer science, he has contributed significantly to network security, cryptographic protocols, and authentication mechanisms 🔐. His research has been recognized internationally, earning him multiple high-impact publications 📚 in IEEE Transactions and Q1 journals. Passionate about fostering cybersecurity innovations, Dr. Saleem is dedicated to enhancing vehicular networks, blockchain security, and IoT authentication 🚗💡.

Publication Profile

🎓 Education

Dr. Saleem holds a Ph.D. in Computer Science and Technology (2021–2024) from the University of Electronic Science and Technology of China 🎖️, where he received the Excellent Student Award for his outstanding academic performance (CGPA 3.9/4.0). His doctoral research focused on privacy-preserving authenticated key-establishment protocols for vehicular ad-hoc networks 🚘🔑. Prior to that, he completed an MS in Computer Science (2018–2020) from COMSATS University Islamabad 🇵🇰, where he achieved a perfect 4.0/4.0 CGPA and was recognized as the Overall Batch Topper 🏆.

💼 Experience

Dr. Saleem has a strong academic career, beginning as a Lab Engineer (2018–2021) at COMSATS University Islamabad, where he taught foundational courses like Programming, Database Systems, and Network Security 💻. He later served as a Visiting Lecturer (2020–2021) at the University of Sahiwal, teaching advanced computer science subjects. From 2021 to 2024, he was a Lecturer in Computer Science at the Higher Education Department of Punjab, where he trained future cybersecurity experts. His transition to a Postdoctoral Researcher in cyberspace security at UESTC, China marks his continued pursuit of cutting-edge research in cryptographic algorithms and vehicular security systems 🌐🔒.

🏅 Awards and Honors

Dr. Saleem’s academic excellence and research contributions have earned him several prestigious awards 🏆. He was honored with the Excellent Student Award during his Ph.D. studies 📜 and was the Overall Batch Topper in his MS program 🥇. His high-impact publications in top-tier Q1 journals have further solidified his reputation as a leading cybersecurity researcher.

🔍 Research Focus

Dr. Saleem’s research primarily revolves around network security, cryptographic authentication, and secure vehicular networks 🚗🔑. His work focuses on designing lightweight and efficient security protocols for IoT, blockchain-based systems, and intelligent transportation networks 🌍🔐. His contributions have advanced secure key establishment mechanisms, privacy-preserving authentication, and cybersecurity solutions for smart cities and industrial IoT 💡🔒.

📝 Conclusion

Dr. Muhammad Asad Saleem is a dynamic researcher and educator, making significant strides in cybersecurity and network authentication 🛡️. With a strong academic background, extensive research experience, and a passion for innovation, he continues to contribute to the evolving landscape of secure communication systems. His high-impact publications and academic excellence place him among the most promising researchers in the field of cyberspace security 🚀.

📚 Publications 

A Provably Secure Lightweight Key Agreement Protocol for Wireless Body Area Networks in Healthcare Systems (2023) – IEEE Transactions on Industrial Informatics (DOI Link) – Cited by 50+ articles 🔬.

Blockchain and PUF-Based Secure Key Establishment Protocol for Cross-Domain Digital Twins in IIoT Architecture (2023) – Journal of Advanced Research (DOI Link) – Cited by 40+ articles 📡.

Provably Secure Authentication Protocol for Mobile Clients in IoT Environment Using Puncturable Pseudorandom Function (2021) – IEEE Internet of Things Journal (DOI Link) – Cited by 60+ articles 📲.

Authenticated Key Management Protocol in Fog Computing-Based Internet of Vehicles Deployment (2020) – IEEE Internet of Things Journal (DOI Link) – Cited by 55+ articles 🚘.

An Efficient and Physically Secure Privacy-Preserving Key-Agreement Protocol for Vehicular Ad-hoc Networks (2023) – IEEE Transactions on Intelligent Transportation Systems (DOI Link) – Cited by 35+ articles 🚗.

A Provably Secure Mobile User Authentication Scheme for Big Data Collection in IoT-Enabled Maritime Intelligent Transportation System (2023) – IEEE Transactions on Intelligent Transportation Systems (DOI Link) – Cited by 45+ articles ⚓.

Secure RFID-Assisted Authentication Protocol for Vehicular Cloud Computing Environment (2024) – IEEE Transactions on Intelligent Transportation Systems (DOI Link) – Cited by 30+ articles ☁️🚘.

A Cost-Efficient Anonymous Authenticated and Key Agreement Scheme for V2I-Based Vehicular Ad-hoc Networks (2024) – IEEE Transactions on Intelligent Transportation Systems (DOI Link) – Cited by 25+ articles 🏎️.

Lightweight and Secure Multi-Factor Authentication Scheme in VANETs (2023) – IEEE Transactions on Vehicular Technology (DOI Link) – Cited by 40+ articles 🏁.

Cloud-Assisted Secure and Cost-Effective Authenticated Solution for Remote Wearable Health Monitoring System (2023) – IEEE Transactions on Network Science and Engineering (DOI Link) – Cited by 50+ articles ⌚🔒.

Roseline Ogundokun | Information Security | Women Researcher Award

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Dr. Roseline Ogundokun | Information Security | Women Researcher Award

Lecturer, Landmark University Omu-Aran, Nigeria

🎓 Dr. Roseline Oluwaseun Ogundokun is a dedicated academic and researcher who is passionate about advancing knowledge in Computer Science and solving real-world problems through Artificial Intelligence (AI), Machine Learning (ML), and Medical Imaging. She has a strong focus on interdisciplinary research and is driven to make impactful contributions to society through her work. With her vast experience in teaching and research, Dr. Ogundokun is shaping the next generation of computer scientists and engineers.

Publication Profile

Strengths for the Award:

  • Diverse Research Focus: Dr. Roseline Oluwaseun Ogundokun’s extensive research interests in Artificial Intelligence, Computer Vision, Deep Learning, and Medical Imaging positions her as a key contributor in fields with high impact. Her work in Machine Learning, Data Science, and Information Security also addresses pressing global issues.
  • Academic Excellence: With two Ph.D. pursuits—one completed in Computer Science and another ongoing in Multimedia Engineering—she exemplifies academic dedication. This diverse educational background reflects her determination to explore interdisciplinary solutions to real-world challenges.
  • Teaching Expertise: She has taught a wide range of courses, including Software Engineering Process, System Analysis, and Operating Systems, highlighting her role in shaping the next generation of computer scientists. Her teaching portfolio showcases versatility and depth in both foundational and advanced computing concepts.
  • Award-Winning Contributions: Dr. Ogundokun has received numerous awards, including a Cash Award for Poster Presentation at Deep Learning Indaba 2024 and multiple recognitions as a Top Nigerian Author on Scopus. These accolades emphasize her impact in both research and the academic community.
  • Global Collaborations: Her recent publications demonstrate global collaboration with researchers across countries, contributing to cutting-edge AI models, including the PulmoNet detection model for pulmonary diseases and a novel smartphone application for early disease detection. These innovations have potential for widespread societal benefits.

Areas for Improvement:

  • Focused Research Output: While Dr. Ogundokun has made notable contributions across several research domains, focusing on a few critical areas—such as medical imaging and AI for healthcare—could help solidify her standing as an expert and further boost her international recognition.
  • International Exposure: Although her research spans multiple countries, increasing participation in global conferences, particularly as a keynote speaker or panel expert, could elevate her visibility in the international research community.
  • Industry Collaboration: Strengthening collaborations with industry partners, particularly in AI-driven medical applications, would further highlight her work’s real-world impact and relevance.

Education

📚 Dr. Ogundokun holds multiple prestigious degrees, including a PhD in Computer Science from the University of Ilorin, Nigeria (2015-2022), and is currently pursuing another PhD in Multimedia Engineering from Kaunas University of Technology, Lithuania (2021-2025). She also earned an MSc in Computer Science from the University of Ilorin (2010-2013) and a BSc in Management Information System from Covenant University, Nigeria (2004-2008). Her academic journey reflects her continuous quest for excellence and specialization.

Experience

👩‍🏫 Dr. Ogundokun has taught numerous courses across computer science and software engineering, including topics such as Computer Programming, Software Engineering, Data Communication, and Medical Imaging. Her extensive teaching portfolio includes courses like System Analysis and Design, Operating Systems, and Data Management, showcasing her versatility in the field of computing and technology.

Research Focus

🔍 Dr. Ogundokun’s research interests span Artificial Intelligence, Computer Vision, Deep Learning, Medical Imaging, Machine Learning, Data Science, and Information Security. She is particularly focused on solving health-related problems through AI-driven models and systems, including pulmonary disease detection and sarcasm detection in social media through LSTM models.

Awards and Honours

🏅 Throughout her career, Dr. Ogundokun has received numerous awards, including a $250 Cash Award for Poster Presentation at the Deep Learning Indaba in Senegal (2024) and an Award of Recognition for her contributions as an SGD 4 Champion (2024). She has also been recognized multiple times as one of the top 500 Nigerian authors on Scopus and has been celebrated for her selfless service as a departmental exam officer.

Publication Top Notes

📝 Dr. Ogundokun has contributed significantly to the scientific community through her impactful publications. Notable works include research on deep learning for pulmonary disease detection, attention-based models for detecting sarcasm in social media, and the development of innovative AI-driven applications for healthcare.

“A Novel Insertion Solution for the Travelling Salesman Problem.” Computers, Materials & Continua. DOI: 10.32604/cmc.2024.047898
Cited by 12 articles.

“PulmoNet: A Novel Deep Learning Based Pulmonary Diseases Detection Model.” BMC Medical Imaging, 24(1), 51. Link
Cited by 8 articles.

“A Novel Smartphone Application for Early Detection of Habanero Disease.” Scientific Reports, 14(1), 1423. Link
Cited by 5 articles.

“Utilizing an Attention-Based LSTM Model for Detecting Sarcasm and Irony in Social Media.” Computers, 12(11), 231. Link
Cited by 10 articles.

“Dark and Light Triad: A Cross-Cultural Comparison of Network Analysis in 5 Countries.” Personality and Individual Differences, 215, 112377. Link

Conclusion:

Dr. Roseline Oluwaseun Ogundokun is an outstanding candidate for the Research for Women Researcher Award. Her research, which addresses societal challenges through AI, machine learning, and medical technologies, aligns perfectly with the award’s goals. Her academic accomplishments, global research contributions, and numerous accolades underscore her potential to inspire future generations and drive meaningful change in technology and healthcare. Strengthening her international and industry engagements could further enhance her profile as a leading researcher.