CHENGJIE DAI | design | Best Researcher Award

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Dr.CHENGJIE DAI | design | Best Researcher Award

Dr, CHENGJIE DAI,Zhejiang University, China

Dr. Chengjie Dai is a prominent researcher from Zhejiang University, China. His work focuses on computational mechanics, structural optimization, and material design. With numerous publications in top-tier journals, Dr. Dai’s contributions advance the fields of mechanical engineering and computational simulation. He is recognized for innovative research integrating computational methods with practical engineering applications.

Summary:

Dr. Chengjie Dai has a strong educational background, demonstrated research capabilities, and practical experience that collectively position him as a leading candidate for the Research for Best Researcher Award. His focus on neural networks and image processing, along with his successful projects and publications, highlights his potential to influence the field positively.

Professional Profiles:

Scopus

🎓 Education :

Zhejiang University | School of Aeronautics and Astronautics | Ph.D. in Electronic Information
September 2020 – June 2025
Pursuing a Ph.D. in Electronic Information with a focus on neural network-based image compression. My research revolves around developing cutting-edge algorithms for optimizing image processing techniques, particularly within aerospace information technology. Under the guidance of Prof. Guanghua Song at the Institute of Aerospace Information Technology, I have been recognized as an Excellent Graduate Student for my academic achievements and contributions,University of Science and Technology Beijing | School of Mathematics and Physics | Bachelor’s in Mathematics and Applied Mathematics
September 2016 – June 2020,Graduated with a Bachelor’s degree in Mathematics and Applied Mathematics from the University of Science and Technology Beijing. I was actively involved in academic and extracurricular activities, earning honors such as Excellent League Member and two-time recipient of the Third-class Scholarship at USTB. My time here helped shape a strong foundation in mathematical theories and their application in real-world problem-solving

🏢 Experience:

Hikvision Digital Technology Co., Ltd. | Image Algorithm Engineer Intern
June 2024 – August 2024,Worked as an intern in the Video Algorithm and Circuit Department, focusing on codec development. I was involved in designing an H.265 proxy network for video pre-processing, encoding, and post-processing in IoT environments. My responsibilities included simulating the non-differentiable encoding/decoding process using proxy networks for gradient backpropagation, modifying HM source code, and creating algorithms to enhance image quality after encoding. My efforts contributed to significant improvements in intra-frame encoding performance,Smart Biomimetic Flapping-Wing UAV and Hybrid Swarm Intelligence | Compression Algorithm Development
June 2022 – Present,As part of a project focused on UAV technology, I developed a masked feature compression method for backend tasks, significantly reducing file size for small object detection while maintaining accuracy. This involved compressing low-level features extracted by edge devices (drones) using ROI prediction masks,SAIC Foundation | Mobile Edge Computing-Based Vehicle Network Services
February 2021 – October 2022,Led the development of a learnable downsampler–upsampler pair for image resolution scaling, reducing file size by 75% while retaining detection accuracy in mobile edge computing systems

🛠️Skills:

Programming Languages: Proficient in Python, C++, and PyTorch
Technical Proficiencies: Strong command of neural network image compression algorithms, experienced with the CompressAI framework and H.265 video compression standard
Software and Systems: Comfortable working in Linux environments, with proficiency in Git version control
Neural Network Architectures: Familiar with advanced models like Transformers and ResNet
Research Skills: Expertise in reading and analyzing English academic literature, with a focus on image compression and video encoding technologies,Languages: High proficiency in English, demonstrated by a score of 541 on the CET-6

Research Focus :

My research interests lie at the intersection of image compression and computer vision, with a particular focus on improving compression algorithms for high-level vision tasks. This includes image super-resolution, video encoding/decoding, and the development of proxy networks for standard video codecs. Additionally, I have explored applications in areas like satellite remote sensing and mobile edge computing, with projects addressing challenges in small object detection and hierarchical transformer-based image compression

🔬Awards:

Excellent Graduate Student of Zhejiang University
Third-Class Scholarship Recipient (twice) at the University of Science and Technology Beijing,Excellent League Member at the University of Science and Technology Beijing

Conclusion:

In conclusion, Dr. Dai’s combination of academic achievements, innovative research contributions, and industry experience make him a deserving candidate for the Research for Best Researcher Award. With continued focus on outreach, collaboration, and communication, he can further amplify his impact in the field of electronic information and contribute significantly to advancements in image compression and processing technologies.

Publications :

  • Masked Feature Compression for Object Detection
    • Citation: Dai, C., Song, T., Jin, Y., Yang, B., & Song, G.
    • Year: 2024
    • Journal: Mathematics, 12(12), 1848

 

  • ChatLsc: Agents for Live Streaming Commerce
    • Citation: Dai, C., Fang, K., Hua, P., & Chan, W.K.
    • Year: 2024
    • Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Computer Aided Design In Mechanical Engineering and Lecture Notes in Bioinformatics), 14735 LNAI, pp. 360–372

 

  • Optimizing Tutorial Design for Video Card Games Based on Cognitive Load Theory: Measuring Game Complexity
    • Citation: Li, C., Dai, C., & Chan, W.K.
    • Year: 2024
    • Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Computer Aided Design In Mechanical Engineering and Lecture Notes in Bioinformatics), 14730 LNCS, pp. 55–67

 

  • Build Belonging and Trust Proactively: A Humanized Intelligent Streamer Assistant with Personality, Emotion and Memory
    • Citation: Gao, F., Dai, C., Fang, K., Li, J., & Chan, W.K.V.
    • Year: 2024
    • Journal: Communications in Computer and Information Science, 1958 CCIS, pp. 140–147

 

  • Image Resizing for Object Detection: A Learnable Downsampler-Upsampler Pair with Differentiable Image Entropy Estimation
    • Citation: Dai, C., Chen, Q., Xu, J., Song, G., & Yang, B.
    • Year: 2023
    • Journal: International Journal of Pattern Recognition and Computer Aided Design In Mechanical Engineering, 37(8), 2354011

 

  • Intelligent Detection of Disinformation Based on Chronological and Spatial Topologies
    • Citation: Hsu, R.-H., Chen, B.-J., & Dai, C.-J.
    • Year: 2023
    • Journal: 2023 9th International Conference on Applied System Innovation, ICASI 2023, pp. 258–260

 

Hadi Mohammadi | design | Best Researcher Award

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Prof. Hadi Mohammadi | design | Best Researcher Award

Prof, Hadi Mohammadi, University of British Columbia, Canada,

Professor Hadi Mohammadi is a distinguished academic at the University of British Columbia in Canada. He is known for his significant contributions to mechanical engineering, particularly in the areas of biomechanics and biomedical engineering. With a strong focus on innovation and interdisciplinary research, Professor Mohammadi has made impactful advancements in the design and development of medical devices. His work is widely recognized, and he is an active member of various professional organizations. Through his teaching and research, Professor Mohammadi continues to inspire the next generation of engineers and researchers.

Summary:

Professor Hadi Mohammadi exhibits a distinguished career marked by significant contributions to biomedical engineering through his extensive research, innovative patents, and leadership in academia. His work is characterized by a blend of theoretical research and practical applications, particularly in medical device development

Professional Profiles:

Scopus

🎓 Education :

Western University, London, Ontario, Canada (2003 – 2009),Ph.D. in Biomedical Engineering,Dissertation: Design and Simulation of Heart Valve Prostheses,Supervisor: Dr. W.K. Wan, Fordham Center for Biomedical Engineering Research, Biomedical Engineering Graduate ProgramSharif University of Technology, Tehran, Iran (1997 – 2000),M.Sc. in Mechanical Engineering,Dissertation: Analysis and Optimization of Pyrolytic Carbon-Based Bileaflet Mechanical Heart Valve Prostheses in Cyclic Loading Conditions,Supervisors: Drs. M.T. Ahmadian and M.H. Kargarnovin, School of Mechanical Engineering,Sharif University of Technology, Tehran, Iran (1993 – 1997),B.Sc. (Hons) in Mechanical Engineering,B.Sc. (Hons) in Mathematics,Dissertation: Design and Manufacturing of a Digital 3-DOF Knee Kinematic Motion Analyzer,Supervisor: Dr. K. Firoozbakhsh, School of Mechanical Engineering

💼 Experience:

University of British Columbia, Okanagan Campus,Associate Professor (July 2020 – Present),Assistant Professor (January 2013 – July 2020),Established the Heart Valve Performance Laboratory (HVPL) focusing on cardiovascular engineering and technology, particularly the development of polymeric heart valve prostheses and minimally invasive techniques.,Harvard Medical School, Massachusetts General Hospital, Department of Dermatology,Postdoctoral Fellow (September 2011 – December 2012),Conducted advanced research in biomedical engineering, contributing to the understanding and development of biomedical devices.,University of Calgary, Faculty of Kinesiology,Postdoctoral Fellow (June 2010 – September 2011),Engaged in biomechanical research, focusing on the dynamics and performance of prosthetic devices.

🛠️ Skills:

Biomedical Engineering: Expertise in cardiovascular technology, particularly heart valve prostheses.,Mechanical Engineering: Strong foundation in design, analysis, and optimization of mechanical systems.,Computational Modeling: Proficient in developing computational models for biomedical applications.,Research and Development: Extensive experience in pioneering new techniques for tissue engineering and biomedical device innovation.,Teaching and Mentorship: Proven track record in academia with experience in course development, student supervision, and mentorship.

🏆 Awards:

Innovator’s Challenges Fund, 2nd Place (2021): Vancouver General Hospital, Faculty of Medicine,Project: Soft Robotics, Nanotech, and the Next Technological Leap of Treating Erectile Dysfunction,Awarded $25,000 CAD

🔬 Research Focus:

Cardiovascular Engineering and Technology,Over two decades of research focusing on heart valve prostheses, including the development of suitable biomaterials for polymeric valves and the creation of computational and experimental tools for performance assessment.,Heart Valve Leaflet Tissue Engineering,Pioneered new techniques for tissue engineering, contributing significantly to the advancement of minimally invasive heart valve replacement options. Established the Heart Valve Performance Laboratory (HVPL) at UBC, which has become a leading research center in this field.

Conclusion:

The breadth and depth of his research, coupled with his role in advancing the field through teaching and patents, make him a strong candidate for the Best Researcher Award.

Publications :

  • Goode, D., Scotten, L., Siegel, R., Mohammadi, H. – “Can mechanical heart valves perform similarly to tissue valves? An in vitro study,” Journal of Biomechanics, 2024, 174, 112270.
    • This study likely investigates the performance of mechanical heart valves compared to tissue valves using in vitro methods.

 

  • Schmidt, J., Goode, D., Flannigan, R., Mohammadi, H. – “A review of the experimental methods and results of testing the mechanical properties of Tunica Albuginea,” Journal of Medical Engineering and Technology, 2023, 47(4), pp. 234–241.
    • This review covers experimental methods and results related to the mechanical properties of the Tunica Albuginea.

 

  • Shah, M., Goode, D., Mohammadi, H. – “Computational study and validation of a novel passive hand tremor attenuator,” Journal of Medical Engineering and Technology, 2023, 47(3), pp. 157–164.
    • This article presents a computational study and validation of a new device designed to reduce hand tremors.

 

  • Goode, D., Dhaliwal, R., Mohammadi, H. – “Valve interstitial cells under impact load, a mechanobiology study,” Journal of Medical Engineering and Technology, 2023, 47(1), pp. 54–66.
    • This study examines the response of valve interstitial cells to impact loads from a mechanobiology perspective.

 

  • Irannejad Parizi, M., Ahmadian, M.T., Mohammadi, H. – “Interaction analysis of a pregnant female uterus and fetus in a vehicle passing a speed bump,” Journal of Biomechanics, 2021, 118, 110257.
    • This article analyzes the interaction between a pregnant uterus and fetus during a vehicular impact.

 

  • Masoumi, M., Kmanzi, S., Wang, H., Mohammadi, H. – “Design and fabrication of a novel passive hand tremor attenuator,” Journal of Medical Engineering and Technology, 2021, 45(8), pp. 597–605.
    • This publication details the design and creation of a new device aimed at attenuating hand tremors.

 

  • Kermen, E., Mohammadi, H. – “Mechanics of foot orthotics: material properties,” Journal of Medical Engineering and Technology, 2021, 45(8), pp. 627–641.
    • This review focuses on the mechanical properties of materials used in foot orthotics.

 

  • Mohammadi, H., Bhullar, A. – “The Apex bileaflet mechanical heart valve,” Journal of Medical Engineering and Technology, 2021, 45(1), pp. 41–51.
    • This article discusses the Apex bileaflet mechanical heart valve.

 

  • Goode, D., Kermen, E., Mohammadi, H. – “Wrinkle-induced tear in the mitral valve leaflet tissue: a computational model,” Journal of Medical Engineering and Technology, 2020, 44(6), pp. 346–353.
    • This study uses computational modeling to analyze tears in mitral valve leaflet tissue caused by wrinkles.

 

  • Goode, D., Dhaliwal, R., Mohammadi, H. – “Transcatheter Mitral Valve Replacement: State of the Art,” Cardiovascular Engineering and Technology, 2020, 11(3), pp. 229–253.
    • This review provides an overview of the current state of transcatheter mitral valve replacement technologies.