Muhammad Suleman Memon | Computer Science | Most Cited Article Award

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Muhammad Suleman Memon | Computer Science | Most Cited Article Award

University of Sindh,Jamshoro | Pakistan

Dr. Muhammad Suleman Memon is an accomplished academic and researcher in the fields of Artificial Intelligence, Computer Vision, and Deep Learning, currently serving as an Assistant Professor and Incharge of the Department of Information Technology at the University of Sindh, Dadu Campus. With over twelve years of academic and research experience, he has demonstrated a strong commitment to advancing digital innovation and academic excellence. He earned his Ph.D. in Computer Systems Engineering from Quaid-e-Awam University of Science and Technology, where his research focused on cutting-edge developments in AI-driven systems. His earlier academic background includes a Master’s in Information Technology and a Bachelor’s in Computer Systems Engineering from Mehran University of Engineering and Technology, Jamshoro. Dr. Memon’s research primarily explores Artificial Intelligence applications in healthcare and agriculture, deep learning-based image classification and segmentation, explainable AI (XAI), and the Internet of Things (IoT) for smart system development. He has contributed to the design and teaching of diverse courses, including Object-Oriented Programming, Artificial Intelligence, Web Engineering, and Data Science, fostering computational thinking and innovation among students. Beyond teaching and research, he has played key administrative and leadership roles such as Focal Person for national digital initiatives, Quality Enhancement Coordinator, and Web Administrator for the Dadu Campus. His leadership has been pivotal in enhancing academic quality, managing IT infrastructure, and supporting institutional modernization. Dr. Memon’s scholarly output includes publications in reputed journals, and his ongoing work reflects a deep interest in developing sustainable and explainable AI solutions to address real-world problems. His career exemplifies the integration of academic rigor, research innovation, and leadership in shaping the next generation of computing professionals.

Profile: Scopus | Orcid | Google Scholar

Featured Publications

Lakhan, A., Mastoi, Q. U. A., Elhoseny, M., Memon, M. S., & Mohammed, M. A. (2022). Deep neural network-based application partitioning and scheduling for hospitals and medical enterprises using IoT-assisted mobile fog cloud. Enterprise Information Systems, 16(7), 1883122.

Memon, M. S., Kumar, P., & Iqbal, R. (2022). Meta deep learn leaf disease identification model for cotton crop. Computers, 11(7), 102.

Lakhan, A., Memon, M. S., Mastoi, Q. U. A., Elhoseny, M., Mohammed, M. A., Qabulio, M., & Abdel-Basset, M. (2022). Cost-efficient mobility offloading and task scheduling for microservices IoVT applications in container-based fog cloud network. Cluster Computing, 1–23.

Mastoi, Q. U. A., Memon, M. S., Lakhan, A., Mohammed, M. A., Qabulio, M., Al-Turjman, F., & Abdulkareem, K. H. (2021). Machine learning–data mining integrated approach for premature ventricular contraction prediction. Neural Computing and Applications, 33, 11703–11719.

Mirani, A. A., Memon, M. S., Rahu, M. A., Bhatti, M. N., & Shaikh, U. R. (2019). A review of agro-industry in IoT: Applications and challenges. Quaid-E-Awam University Research Journal of Engineering, Science & Technology, Nawabshah, 17(1), 28–33.

Mirani, A., Memon, M. S., Chohan, R., Wagan, A. A., & Qabulio, M. (2021). Machine learning in agriculture: A review. LUME, 10, 5.

Memon, W. A., Mirani, A. A., Memon, M. S., & Sodhar, I. N. (2019). Comparative study of online learning management systems: A survey in Pakistan. Information Sciences Letters, 8(3), 111–120.

Asadi Srinivasulu | Computer Science | Best Researcher Award

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Asadi Srinivasulu | Computer Science | Best Researcher Award

University of Newcastle | Australia

Dr. Asadi Srinivasulu is an accomplished academic and researcher with over 24 years of combined teaching and industry experience in the field of Computer Science and Information Technology. He earned his B.Tech in Computer Science Engineering from Sri Venkateswara University, Tirupati, and his M.Tech in Intelligent Systems from the Indian Institute of Information Technology, Allahabad. He holds a Ph.D. in Data Science from JNTU Anantapur and is currently pursuing a second Ph.D. in Artificial Intelligence at IIIT Allahabad as a working professional under the supervision of Prof. Anupam Agrawal. He is presently a Visiting Researcher at crcCARE, the University of Newcastle, Australia, and previously served as Head of Research & OpenLabs in Information Technology at BlueCrest University, Monrovia, Liberia, as well as a Subject Matter Expert at Deloitte, Delhi. His research expertise spans Data Science, Big Data Analytics, Data Mining, Artificial Intelligence, Robotic Process Automation, Cloud Computing, Pattern Recognition, Machine Learning, and Software Engineering. Dr. Srinivasulu has reviewed 96 research theses and guided multiple Ph.D., M.Tech, and B.Tech scholars. A holder of numerous professional certifications, including seven IBM and multiple Microsoft, edX, NPTEL, and IIT-Bombay credentials, he is also a professional member of several renowned organizations such as IEEE, ACM, CSI, ISTE, and NASSCOM. He serves on the editorial boards of various international journals and has acted as a reviewer for leading publishers including Springer, Elsevier, IEEE, and Hindawi. Throughout his career, he has contributed to academic and institutional development through leadership roles in R&D, accreditation, curriculum development, and innovation initiatives, reflecting his dedication to advancing research, technology, and education in the global IT landscape.

Profile: Orcid | Scopus 

Featured Publications

Asadi Srinivasulu, Dolly Diana, P., Asadi Saketh Ram, Goddindla, S., & Uma, T. G. (2024). AI-driven strategic HR: Maximizing employee productivity for global competitiveness. Journal of Advanced Artificial Intelligence, 1(2), 21–35.

Asadi Srinivasulu, & Clement Varaprasad, K. (2024). Enhancing safety and efficiency in autonomous vehicles through integrated AI technologies. Journal of Research in Engineering and Computer Science, 2(3), 1–25.

Asadi Srinivasulu, Goddindla, S., Ramineni, R. R., Billa, S. B., & Akhila, S. P. (2024). Advanced RTD prediction and optimization in three-phase bubble column reactors: Leveraging deep learning for enhanced industrial efficiency. Biomedical Journal of Scientific & Technical Research, 59(5),

Asadi Srinivasulu, & Goddindla, S. (2024). Operational issues and strategies of three-phase fluidized bed bioreactors for enzymatic production of gluconic acid. International Journal of Food and Nutritional Sciences, 11(13), 3502–3521.

Asadi Srinivasulu, & Goddindla, S. (2024). Healthcare applications of gluconic acid: A comprehensive review and insights. International Journal of Food and Nutritional Sciences, 11(11),

Asadi Srinivasulu, & Rajeyyagari, S. (2024). Myocarditis detection using proximal policy optimization and mutual learning. Journal of Artificial Intelligence and System Modelling, 1(4), 32–49.

Asadi Srinivasulu, & Palanisamy, V. (2024). Data-driven revolution in academic support for mathematics underachievers through random forest individual and hybrid model. Journal of Artificial Intelligence and System Modelling, 1(4),