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).

Mr. Muhammad Waseem | Computer Technology For Design | Best Research Article Award

Master and PHD at Soonchunhyang University | South Korea

Muhammad Waseem is a dedicated researcher and programmer with a strong foundation in computer science, currently pursuing advanced studies as a Master leading to PhD student at the Computer Graphics Lab, Soonchunhyang University. He holds a Bachelor’s degree in Computer Science from the University of Baltistan, Skardu, where he worked on innovative projects such as Two Step Encryption and Decryption for University Data Security. His professional experience includes roles as a Python Programmer at Al-Khidmat Health Foundation Islamabad, where he customized the GNU Health framework, maintained servers, deployed software solutions across hospital branches, trained medical staff, and performed patient data analysis, as well as a Computer Vision Intern at Visionbotix Pvt. Limited, contributing to national and international projects involving video stitching, object detection, hand gesture recognition, and GUI development using OpenCV, Tkinter, and SIFT-based algorithms. His research interests span computer vision, graphics, machine learning, and simulation, highlighted by his publication on large-scale particle-based fluid simulation in Unity 3D. Proficient in Unity, Python, C#, HLSL, MATLAB, C++, and Overleaf, he combines technical expertise with strong problem-solving, analytical, and communication skills. He has been recognized with a prize for his performance at the IT Project Exhibition organized by the Computer Science Department of Karakoram International University. Beyond academia, he enjoys hiking, traveling, football, and personal development, reflecting his versatile personality and motivation to excel in both research and professional endeavors.

Profile: Orcid | Google Scholar

Featured Publications

Waseem, M., & Hong, M. (2025). Moving towards large-scale particle-based fluid simulation in Unity 3D. Applied Sciences, 15(17), 9706.