Network Administrator | University of Okara | Pakistan
Research for Best Researcher Award
Strengths for the Award
Dr. Javed Rashid has demonstrated exceptional capabilities in both research and practical application, making him a strong candidate for the Best Researcher Award. His extensive experience as a Network Administrator and educator at reputable institutions like the University of Okara and University of Education showcases his ability to manage and innovate in complex technical environments. Dr. Rashid’s academic achievements, including a Ph.D. in Computer Science with a GPA of 3.58/4 from Islamic International University, underscore his deep knowledge and dedication to the field.
His research contributions are particularly noteworthy. Dr. Rashid’s publications cover a broad spectrum of computer science topics, from deep learning and computer vision to medical disease diagnosis. His work on deep learning models for potato leaf disease recognition and skin cancer detection highlights his expertise in leveraging cutting-edge technologies to address real-world problems. The diversity and impact of his research make him a standout in the field.
Areas for Improvement
While Dr. Rashid’s research portfolio is robust, there are areas where he could enhance his profile further. Interdisciplinary collaboration could be one avenue for growth, as integrating insights from other fields could lead to novel approaches and innovations. Expanding his international collaborations and partnerships might also help in gaining broader recognition and influence in global research circles.
Additionally, Dr. Rashid might consider engaging more actively in public science communication and outreach. By presenting his work at international conferences and participating in public forums, he could increase the visibility of his research and its applications. Fostering a stronger online presence through platforms like academic social networks or personal research blogs could also help in showcasing his contributions and engaging with a wider audience.
Short Bio
Dr. Javed Rashid is an accomplished scholar and professional with a diverse background in computer science and IT management. Currently serving as a Network Administrator at the University of Okara, he has extensive experience in both administrative and academic roles. Dr. Rashid is recognized for his significant contributions to research in computer vision, deep learning, and disease detection, demonstrating his commitment to advancing technology and its practical applications.
Profile
ORCID
Education
Dr. Rashid holds a Ph.D. in Computer Science from Islamic International University, Islamabad, where he achieved a commendable GPA of 3.58/4. He is also a gold medalist in both his MSCS/MPhil and MCS degrees from Superior University Lahore and Hajvery University, respectively. His academic journey includes a Bachelor of Laws from Punjab University and a Bachelor of Computer Sciences from Allama Iqbal Open University, reflecting his well-rounded educational background.
Experience
Dr. Rashid has a robust professional history, including roles as a Network Administrator, Deputy Registrar-IT, and Assistant Network Administrator at the University of Okara. His prior experience includes positions at the University of Education, Okara Campus, and Government Degree College Chichawatni. He has also contributed as a visiting lecturer and has extensive experience in both practical IT management and academic instruction.
Research Interest
Dr. Rashid’s research interests are centered on advanced topics in computer science, including computer vision, deep learning, and pattern recognition. His work explores applications in areas such as smart cities, medical disease diagnosing, and plant leaf diseases. He is particularly focused on leveraging deep learning techniques to enhance disease detection and classification systems.
Awards
Dr. Rashid has been recognized for his academic excellence and research contributions. Notable awards include gold medals for his MCS and MSCS degrees, acknowledging his outstanding academic performance. His research achievements continue to gain attention and impact in the field of computer science.
Publications
Rashid, J., Khan, I., Ali, G., Almotiri, S.H., AlGhamdi, M.A., Masood, K. “Multi-Level Deep Learning Model for Potato Leaf Disease Recognition,” Electronics, 2021, 10(17), 2064. Link
Cited by: 20
Rashid, J.; Ishfaq, M.; Ali, G.; Saeed, M.R.; Hussain, M; Alkhalifah, T.; Alturise, F.; Samnd N. “Skin Cancer Disease Detection Using Transfer Learning Technique,” Appl. Sci., 2022, 12, 5714. Link
Cited by: 35
Rashid, J., Khan, I., Ali, G., Rehman, S.U., Alkhalifah, T., Alturise, F. “Real-Time Multiple Guava Leaf Disease Detection from a Single Leaf Using Hybrid Deep Learning Technique,” Computers, Materials & Continua, 2023, 74(1), 1235-1257. Link
Cited by: 18
Sohail, M.; Ali, G.; Rashid, J.; Ahmad, I.; Almotiri, S.H.; AlGhamdi, M.A.; Nagra, A.A.; Masood, K. “Racial Identity-Aware Facial Expression Recognition Using Deep Convolutional Neural Networks,” Appl. Sci., 2022, 12, 88. Link
Cited by: 27
H. Chu, M. R. Saeed, J. Rashid, M. T. Mehmood, I. Ahmad et al. “Deep learning method to detect the road cracks and potholes for smart cities,” Computers, Materials & Continua, 75(1), 1863–1881, 2023. Link
Cited by: 22
Rehan Ahmad, Javaid Rashid, Suhail Iqbal, Khurshid Asghar “Evaluation of Multi-Channel Wireless Network Using Performance Metrics,” Journal of Basic and Applied Scientific Research., 4(8), 36-44, 2014. Link
Cited by: 10
Rashid, J., Khan, I., Abbasi, I., A.; Saeed M.R., Saddique, M., Abbas, M., A. “A Hybrid Deep Learning Approach to Classify the Plant Species,” Computers, Materials & Continua, 76 (3), 3897–3920, 2023. Link
Cited by: 19
Afzal, M., F.; Khan, I., Rashid, J.; Saddique, M., Gaber, H. “Binary Oriented Feature Selection with Crosstree Constraints for Valid Product Derivation in Software Product Line,” Computers, Materials & Continua, 76 (3), 3653–3670, 2023. Link
Cited by: 16
Conclusion
Dr. Javed Rashid is a distinguished researcher whose work has made significant contributions to the field of computer science, particularly in the areas of deep learning, computer vision, and disease diagnosis. His strengths lie in his extensive experience, impactful research, and academic achievements. By focusing on interdisciplinary collaborations, expanding international networks, and enhancing public engagement, Dr. Rashid could further elevate his profile and influence in the research community. For these reasons, he is a highly deserving candidate for the Best Researcher Award.