Posen Lee | Computer Technology for Design and Simulation | Best Researcher Award

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.

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

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

Edward Reutze | Additive Manufacturing | Best Researcher Award

 Dr. Edward Reutze | Additive Manufacturing | Best Researcher Award

Research Professor, Penn State University, Applied Research Laboratory ,United States

Dr. Edward W. Reutzel is a prominent researcher and leader in the field of additive manufacturing and mechanical engineering. His career at Penn State spans over 25 years and includes contributions to high-impact research, leadership in innovative materials processing, and cross-disciplinary collaboration. He has published extensively in top-tier journals and directed cutting-edge projects that integrate machine learning, sensor technology, and manufacturing science.

Profile
📚Publication 

🏁conclusion:

  • Dr. Reutzel’s contributions in advanced manufacturing, leadership of a major research center, and integration of intelligent monitoring techniques into additive manufacturing workflows make him an exceptional candidate. While minor enhancements in global visibility and external recognitions would further bolster his case, his current profile already demonstrates remarkable achievements and sustained research excellence.

Thandu Nagaraju | Computer technology | Best Researcher Award

Mr. Thandu Nagaraju | Computer technology | Best Researcher Award

Mr, Thandu Nagaraju,Kalasalingam Academy of Research and Education, India

Mr. Thandu Nagaraju is a distinguished faculty member at Kalasalingam Academy of Research and Education, India. He holds a significant role in the academic community, contributing extensively to both teaching and research. Mr. Nagaraju’s expertise lies in the field of mechanical engineering, with a particular focus on advanced manufacturing processes, materials science, and engineering design.

 

Professional Profiles:

Google scholar

Education :

Ph.D. in Computer Science and EngineeringKalasalingam Academy of Research and Education (KARE), 2021-2025,Percentage: 80,M.Tech in Computer Science and Engineering,ASTRA, Jawaharlal Nehru Technological University Hyderabad (JNTU H), 2012-2014,Percentage: 72.62,B.Tech in Computer Science and Engineering,MITS Kodad, Jawaharlal Nehru Technological University Hyderabad (JNTU H), 2008-2012,Percentage: 68.94%Intermediate,St. Anne’s Junior College, Board of Intermediate, 2006-2008,Percentage: 82.20,SSC,AMHS Nakrekal, S.S.C, 2005-2006Percentage: 82.40%

 Experience:

  • Assistant Professor
    CMR Institute of Technology (CMRIT), Hyderabad
    Conducted workshops, FDPs, and seminars; Organized and attended various technical programs.
  • Lecturer
    Various Engineering Colleges
    Delivered lectures and guided students in computer science and engineering subjects.

Skills:

  • Programming Languages: C, C++, Java, Python, R
  • Operating Systems: Windows, Linux, UNIX
  • Web Technologies: HTML, JavaScript, Servlets, JSP, JDBC, PHP
  • RDBMS: SQLServer 2000, Oracle 11g, MySQL

Certifications:

  • Getting and Cleaning Data – Johns Hopkins University, 05/25/2020
  • R Programming – Johns Hopkins University, 05/25/2020
  • Front-End Web UI Frameworks and Tools: Bootstrap 4 – The Hong Kong University of Science and Technology, 05/04/2020
  • Technical Support Fundamentals – Google, 08/31/2020
  • Reproducible Research – Johns Hopkins University, 06/01/2020
  • Statistical Inference – Johns Hopkins University, 06/01/2020
  • Natural Language Processing in TensorFlow – DeepLearning.AI, 07/27/2020
  • Server-side Development with NodeJS, Express and MongoDB – The Hong Kong University of Science and Technology, 06/15/2020
  • Introduction to G Suite – Google Cloud, 05/11/2020
  • The Data Scientist’s Toolbox – Johns Hopkins University, 05/25/2020
  • Regression Models – Johns Hopkins University, 06/15/2020
  • Developing Data Products – Johns Hopkins University, 06/15/2020
  • Exploratory Data Analysis – Johns Hopkins University, 05/25/2020
  • Programming for Everybody (Getting Started with Python) – University of Michigan, 06/15/2020
  • Practical Machine Learning – Johns Hopkins University, 06/15/2020
  • Multiplatform Mobile App Development with React Native – The Hong Kong University of Science and Technology, 06/15/2020
  • Data Science Capstone – Johns Hopkins University, 07/20/2020
  • Introduction to Web Development – University of California, Davis, 06/15/2020
  • Single Page Web Applications with AngularJS – Johns Hopkins University, 07/27/2020
  • AI For Everyone – DeepLearning.AI, 06/01/2020

Publications :

  1. Secure Data Auditing using TPA
    International Journal of Science, Engineering and Technology Research
    Impact Factor: 5.762, September 2014, ISSN 2319-8885
  2. Audit-Free Cloud Storage with Confutable AB Encryption
    International Journal of Science, Engineering and Technology Research
    Impact Factor: 3.59, May 2016, ISSN 2278-7798
  3. A Survey on Security Issues in Wireless Sensor Network
    International Journal of Science, Engineering and Technology Research
    Impact Factor: 3.59, April 2017, ISSN 2278-7798
  4. A Survey on Security Control in Cloud Computing with Attribute-Based Encryption
    International Journal of Advancement in Engineering Technology, Management and Applied Science
    Impact Factor: 3.102, August 2017, ISSN 2349-3224
  5. Enhancing Load Balancing in Cloud Computing by ACO
    International Journal of Engineering and Techniques
    Impact Factor: 3.546, May-June 2017, ISSN 2395-1303
  6. FUZZY-PSO for Classification of Trusted IoT Devices
    International Journal of Advanced Science and Technology
    Impact Factor: 4.546, May-June 2020, ISSN 2005-4238 (Scopus Indexed)