Prof. Sobia Wassan | Biomedical Devices | Best Researcher Award
Associate Professor at Jiangsu Urban Rural and construction college changzhou | China
Prof. Sobia Wassan is a distinguished academic and researcher whose career reflects excellence in education, professional expertise, and multidisciplinary scholarship. Prof. Sobia Wassan holds a Ph.D. in Business Administration from Nanjing University along with a Master’s and Bachelor’s degree in Commerce, complemented by additional diplomas in Chinese language, Senior Business Administration, Senior Translation, and advanced language certifications, which highlight her academic breadth and global outlook. Prof. Sobia Wassan has served as Associate Professor at Jiangsu Urban and Rural Construction College, Adjunct Professor at Kwazini CLC, A-Level/IB/IGCSE Teacher at Changzhou Songjianhu High School, English and Business Language Teacher at Gian Company, and earlier as an Advance Officer in Risk Management at Allied Bank Limited and as an Accountant with the Institute of Cost and Management Accountants of Pakistan, experiences that demonstrate her versatility across academia, industry, and international institutions. Prof. Sobia Wassan’s research interests include machine learning, deep learning, big data, artificial intelligence, data mining, decision support systems, digital procurement, IoT, cybersecurity, and sentiment analysis, with applications spanning healthcare, agriculture, education, and business management. She has published extensively on topics such as optical glucose sensing, plant disease detection, federated learning, cybersecurity, explainable AI, IoT-based healthcare, and digitalization in business, contributing significantly to scientific and practical advancements. Prof. Sobia Wassan possesses strong research skills in data analytics, visualization, programming in Python, Java, R, SQL, and MATLAB, as well as proficiency in advanced machine learning frameworks such as TensorFlow, Keras, and PyTorch, supported by expertise in tools like RapidMiner, Tableau, and SQL-based systems. Her honors and awards include the Best Researcher Award at the International Research Awards on New Science Inventions, an Excellent Prize at the Belt & Road and BRICS Skills Development and Technology Innovation Competition, and invitations as Guest Lecturer at Amity University, along with leading roles as special issue editor in international journals and authoring influential book chapters on AI and cybersecurity. In conclusion, Prof. Sobia Wassan exemplifies academic leadership and global scholarly impact through her comprehensive education, diverse professional experience, cutting-edge research, technical expertise, and international recognition, establishing her as a leading figure dedicated to advancing knowledge, innovation, and excellence across multiple disciplines.
Featured Publications
Vasan, D., Alazab, M., Wassan, S., Naeem, H., Safaei, B., & Zheng, Q. (2020). IMCFN: Image-based malware classification using fine-tuned convolutional neural network architecture. Computer Networks, 171, 107138.
Vasan, D., Alazab, M., Wassan, S., Safaei, B., & Zheng, Q. (2020). Image-based malware classification using ensemble of CNN architectures (IMCEC). Computers & Security, 92, 101748.
Wassan, S., Chen, X., Shen, T., Waqar, M., & Jhanjhi, N. Z. (2021). Amazon product sentiment analysis using machine learning techniques. Revista Argentina de Clínica Psicológica, 30(1), 695–702.
Wassan, S., Suhail, B., Mubeen, R., Raj, B., Agarwal, U., Khatri, E., Gopinathan, S., … (2022). Gradient boosting for health IoT federated learning. Sustainability, 14(24), 16842.
Shah, I. A., Wassan, S., & Usmani, M. H. (2022). E-Government security and privacy issues: Challenges and preventive approaches. In N. Z. Jhanjhi (Ed.), Cybersecurity measures for e-government frameworks (pp. 61–76). IGI Global.
Wassan, S., Gulati, K., Pallathadka, H., Suhail, B., Kuhar, P., & Gupta, A. (2021). How artificial intelligence transforms the experience of employees. Turkish Journal of Computer and Mathematics Education, 12(10), 7116–7135.
Wassan, S., Xi, C., Jhanjhi, N. Z., & Binte-Imran, L. (2021). Effect of frost on plants, leaves, and forecast of frost events using convolutional neural networks. International Journal of Distributed Sensor Networks, 17(10), 15501477211053777.