Posen Lee | Computer Technology for Design and Simulation | Best Researcher Award Published on 20/11/202522/11/2025 by Global CAD Awards Prof. Posen Lee | Computer Technology for Design and Simulation | Best Researcher Award Prof. Posen Lee | I-Shou University | Taiwan Prof. Posen Lee is an interdisciplinary scholar whose research advances psychiatric occupational therapy through the integration of psychometrics, artificial intelligence, and rehabilitation technology. His work focuses on developing and validating assessment tools for schizophrenia and other psychiatric disorders, applying AI-based motion and image analysis to rehabilitation practices, and conducting quantitative gait and balance studies in older adults and individuals with mental health conditions. He has contributed to the refinement of clinical communication assessment through the creation of a psychiatric OT-specific OSCE model and has led multiple government- and hospital-funded projects published in SCI and SSCI journals such as Biosensors, Bioengineering, Sensors, and the Asian Journal of Psychiatry. With 281 citations across 274 documents, 23 publications, and an h-index of 9, his scholarly work strengthens evidence-based mental health rehabilitation and promotes technology-enhanced, client-centered occupational therapy practice. Profile: Scopus Featured Publications : Group Dynamics in Occupational Therapy: Applications and Innovations Publisher. Updated Group Dynamics in Occupational Therapy Publisher. Occupational Therapy for Common Geriatric Disorders Publisher.
Prof. Posen Lee is an interdisciplinary scholar whose research advances psychiatric occupational therapy through the integration of psychometrics, artificial intelligence, and rehabilitation technology. His work focuses on developing and validating assessment tools for schizophrenia and other psychiatric disorders, applying AI-based motion and image analysis to rehabilitation practices, and conducting quantitative gait and balance studies in older adults and individuals with mental health conditions. He has contributed to the refinement of clinical communication assessment through the creation of a psychiatric OT-specific OSCE model and has led multiple government- and hospital-funded projects published in SCI and SSCI journals such as Biosensors, Bioengineering, Sensors, and the Asian Journal of Psychiatry. With 281 citations across 274 documents, 23 publications, and an h-index of 9, his scholarly work strengthens evidence-based mental health rehabilitation and promotes technology-enhanced, client-centered occupational therapy practice. Profile: Scopus
Updated Group Dynamics in Occupational Therapy Publisher. Occupational Therapy for Common Geriatric Disorders Publisher.
Nidhika Chauhan | Computer Technology For Design | Best Researcher Award Published on 08/10/2025 by Global CAD Awards 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).
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).