Prof. Zhanwei Liu | Computer Technology For Design | Excellence in Innovation Award

School of Information Science and Technology | China

Professor Zhanwei Liu is a distinguished faculty member and master’s supervisor at Shijiazhuang Tiedao University, China, with research expertise spanning intelligent optimization algorithms, computer vision, and cross-disciplinary engineering applications, emphasizing the enhancement of algorithmic convergence, stability, and efficiency. He has significantly contributed to the development of intelligent optimization frameworks, multi-UAV path planning, and image processing systems, integrating artificial intelligence with complex engineering problems. Holding advanced academic qualifications in computer science and information technology, complemented by professional training in intelligent systems and automation, Professor Liu demonstrates strong leadership in academic research and industry-oriented innovation. As a Professor at the School of Computer and Information Technology, he supervises postgraduate students in AI and optimization research and serves as an expert reviewer for national research programs such as the National Key R&D Program of China. He is an active member of the China Computer Federation (CCF) and the China Automation Society (CAA), also serving as a Provincial Science and Technology Commissioner, licensed technology transfer professional, and core member of provincial innovation teams, contributing to advancements in smart transportation, digital twin technologies, and engineering informatics. His primary research focuses on intelligent optimization algorithms, biomimetic swarm intelligence, computer vision, and complex system modeling, emphasizing adaptive strategies, transfer learning, and deep learning for improved performance in real-world engineering systems. Professor Liu’s exceptional academic and industrial achievements have earned him several provincial and national-level awards, including the Hebei Youth Science and Technology Innovation Award, Scientific and Technological Progress Prizes, and Industry-University-Research Collaboration Awards, along with recognition as a “Bohai Talent” Outstanding Contributor and as a developer of national technical standards for railway infrastructure monitoring. With more than and growing international recognition, his impactful research is reflected in 3 published documents, 3 citations, and an h-index of 1, underscoring his rising influence in the global AI and intelligent systems research community.

Profile: Scopus

Featured Publications

Liu, Z., & Wang, H. (2025). Study of course system adjustment mechanism based on the employment needs. In J. Smith & R. Chen (Eds.), Proceedings of the International Conference on Education and Employment Trends 2025 (pp. 45–52). Springer

Dr. Nidhika Chauhan | Computer Technology For Design | Best Researcher Award

Associate Professor | Chandigarh University | India

Dr. Nidhika Chauhan is an accomplished academic and researcher with a Ph.D. in Computer Science from Chandigarh University. She holds a Master of Computer Applications (MCA) from Lovely Professional University and a Bachelor of Computer Applications (BCA) from Chitkara University. As an Associate Professor and Subject Coordinator at Chandigarh University, she has over five years of experience teaching IT and management students, developing educational programs, mentoring research projects, coordinating academic events, and supervising undergraduate and postgraduate research work. Her professional expertise spans cloud computing, artificial intelligence, optimization algorithms, data analytics, and research methodology, with a focus on energy-efficient resource allocation and performance management in cloud data centers. Dr. Chauhan has published numerous journal and conference papers indexed in IEEE, arXiv, and reputed international journals such as Computers, Materials & Continua and Journal of Harbin Engineering University, along with multiple book chapters in machine learning and digital marketing. She has actively participated in NAAC coordination, academic counseling, and faculty development programs, earning recognition such as the Most Outstanding Employee of the Year at NIIT. Her leadership, technical proficiency, and academic contributions reflect a deep commitment to innovation in education and research. With 8 citations across 8 documents, 6 Documents and an h-index of 2, Dr. Chauhan continues to advance research in cloud computing, optimization algorithms, and intelligent systems while contributing significantly to the academic and professional development of her students.

Profile: Scopus | Orcid | Google Scholar

Featured Publications

Chauhan, N. (n.d.). Prediction of clinical drug response using machine learning. In Ambient Assisted Living (AAL) Technologies: Transitioning from Healthcare 4.0 to Healthcare 5.0. (Accepted for publication).