Mr. Jiandong Ma | Remote Access Awards | Best Researcher Award

Mr. Jiandong Ma | Remote Access Awards | Best Researcher Award 

Mr. Jiandong Ma, Chinese Academy of Sciences, China

Mr. Jiandong Ma is a dedicated researcher based in Beijing, currently pursuing a Ph.D. in Signal and Information Processing at the University of Chinese Academy of Sciences (UCAS). He has a strong educational background, having completed his Bachelor’s degree in Network Engineering at the University of Electronic Science and Technology of China (UESTC). With extensive experience in leading projects focused on advanced FPGA solutions, Jiandong has made significant contributions in the development of Remote Direct Memory Access (RDMA) technologies, particularly in out-of-order (OOO) packet transmission and packet reordering systems for multipath networks. His innovative work has led to several patents, reflecting his expertise in hardware packet processing and network optimization. In addition to his technical achievements, Jiandong has published multiple research papers in reputable journals and has been recognized as a Merit Student at his university. His commitment to scientific advancement is also evident in his volunteer work at public science events, showcasing his passion for knowledge sharing and community engagement.

Professional Profile:

ORCID

 

Suitability of Jiandong Ma for the Best Researcher Award

Jiandong Ma is a prominent candidate for the Best Researcher Award due to his outstanding academic qualifications, leadership in innovative research projects, significant contributions to his field, and recognition through patents and publications.

🎓 Education

  • Ph.D. in Signal and Information Processing
    University of Chinese Academy of Sciences (UCAS)
    🏫 School of Electronic, Electrical and Communication Engineering
  • Bachelor of Engineering in Network Engineering
    University of Electronic Science and Technology of China (UESTC)
    🏫 Yingcai Honors College

💼 Work Experience

  • Team Leader
    FPGA – Out-of-Order (OOO) RDMA NIC

    • Led a team to develop a Gbps RDMA NIC supporting OOO packets via Xilinx ERNIC IP.
    • Improved WQE transmission performance significantly under multipath scenarios.
    • Supported dynamic resource management and selective retransmission.
  • Team Leader
    FPGA – Packet Reordering and Deduplication System

    • Developed a system for multipath SD-WAN, achieving substantial space usage reduction and Gbps throughput.
  • Developer
    FPGA – Deep Flow Table

    • Developed an exact match table with millions of entries using DDR, ensuring flexible entry space management.
  • Optimizer
    DPDK – DDoS Filter Unit and SDN Switch Multi-core Performance

    • Optimized data structures for multi-core performance expansion of SDN switches and filtered DDoS traffic.

🏆 Achievements

  • Patents:
    1. A method and system for out-of-order direct write in RDMA (Received)
    2. A bitmap-based out-of-order packet reception method for RDMA (Received)
    3. A sliding window-based RDMA transmission method and system (Received)
    4. A network packet deduplication and reordering system (Primary Check Passed)
    5. An IP whitelist-based method for filtering DDoS traffic (Granted)
    6. A method and system for managing variable-length key-value entries (Granted)
  • Papers:
    1. SSPRD: A Shared-Storage-Based Hardware Packet Reordering and Deduplication System for Multipath Transmission in Wide Area Networks (SCI, accepted)
    2. ORNIC: A High-Performance RDMA NIC with Out-of-Order Packet Direct Write Method for Multipath Transmission (SCI, accepted)

🎖️ Awards and Honors

  • Merit Student of the University
  • Volunteer at the Academy of Sciences Public Science Day

Publication Top Notes:

ORNIC: A High-Performance RDMA NIC with Out-of-Order Packet Direct Write Method for Multipath Transmission

SSPRD: A Shared-Storage-Based Hardware Packet Reordering and Deduplication System for Multipath Transmission in Wide Area Networks

Ms. Yi Xin | Catalyze Awards | Best Researcher Award

Ms. Yi Xin | Catalyze Awards | Best Researcher Award

Ms. Yi Xin, China University of Geosciences, China

Xinyi is a dedicated researcher in the Department of Materials Science and Engineering at the China University of Geosciences (Beijing). She holds a Bachelor of Science degree in Materials Science and Engineering, graduating with a commendable GPA of 84.88/100. Xinyi is proficient in both Chinese and English, having achieved a CET-4 score of 499 and an IELTS score of 7.0, which enables her to effectively communicate and collaborate in diverse academic environments. Her research focuses on innovative materials and their applications, evidenced by her published paper titled “Adsorption Performance of Modified Graphite from Synthetic Dyes Solutions,” which appeared in the journal Materials in 2024 and holds an impact factor of 3.1. In addition to her publications, Xinyi has contributed to the field through her patent application for a 3D Printing Intelligent Control Method, aimed at optimizing printing parameters to resolve common issues like nozzle clogging, warping, and detail loss in 3D printing processes. Her work exemplifies a strong commitment to advancing materials science and engineering, making her a promising talent in the research community.

Professional Profile:

ORCID

Summary

Xinyi is currently an undergraduate researcher in the Department of Materials Science and Engineering at China University of Geosciences (Beijing). With a solid academic foundation in materials science, she has also contributed to significant research efforts, including a published paper and a patent application. Her ongoing education and hands-on research experience provide her with a robust understanding of the field and valuable practical skills.

Xinyi’s Education

  • Degree: Bachelor of Science (B.Sc.) in Materials Science and Engineering
    • Institution: China University of Geosciences (Beijing)
    • GPA: 84.88/100

Work Experience

  • Position: Undergraduate Researcher
    • Department: Materials Science and Engineering
    • Institution: China University of Geosciences (Beijing)
    • Duration: September 2021 – Present
    • Responsibilities:
      • Conducting research on materials properties and applications, specifically focusing on the adsorption performance of modified graphite.
      • Collaborating with faculty and fellow researchers on projects related to materials science.
      • Engaging in research activities leading to publications and patent applications.

Publication Top Notes

Adsorption Performance of Modified Graphite from Synthetic Dyes Solutions

Assoc Prof Dr. Hongfei Yang | Wayfinding Award | Best Researcher Award – 5015

Assoc Prof Dr. Hongfei Yang | Wayfinding Award | Best Researcher Award 

Assoc Prof Dr. Hongfei Yang, Shihezi University, Xinjiang, China

Yang Hongfei is an Associate Professor in the Department of Electronic Information Engineering at Shihezi University, specializing in Testing and Measurement Technology and Instruments. Born in September 1994 in Puyang, Henan, he has a robust academic background, holding a PhD from Jilin University, where he also completed his master’s and bachelor’s degrees in Mechanical Design. His academic journey includes a significant joint training exchange program at the University of Cambridge. Yang’s research interests focus on intelligent agriculture machinery and intelligent sensors, reflecting his commitment to innovative solutions in engineering. He has received several prestigious awards, including the National Scholarship for Doctoral Students and the title of “Outstanding Graduate Student” from Jilin University. Proficient in multiple software tools and with strong language skills, Yang is dedicated to fostering collaboration within academic circles and engaging in impactful scientific research. His aspiration is to excel as a university educator while contributing significantly to the field of instrumentation and technology.

Professional Profile:

Scopus 

Summary of Suitability for Best Researcher Award: Yang Hongfei

Candidate Profile: Yang Hongfei, an associate professor at Shihezi University, specializes in Testing and Measurement Technology and Instruments. With a strong academic background, including a PhD from Jilin University and a joint training program at the University of Cambridge, Yang has consistently demonstrated excellence in research and education.

Education:

  • 2020.09 – 2023.09: PhD in Testing and Measurement Technology and Instruments, Jilin University
  • 2018.10 – 2019.01: Joint Training Exchange Master’s Program, University of Cambridge
  • 2017.09 – 2020.06: Master’s in Mechanical Design and Theory, Jilin University
  • 2012.09 – 2016.06: Bachelor’s in Mechanical Design, Manufacturing and Automation, Dalian University

Work Experience:

  • 2023.11 – Present: Associate Professor, Department of Electronic Information Engineering, Shihezi University

Publication top Notes:

Neural network-based 3D point cloud detection of targets in unstructured environments

MI-FPD: Magnetic Information of Free Precession Signal Data Measurement Method for Bell-Bloom Magnetometer

Efficient Measurement of Free Precession Frequency in Bell-Bloom Atomic Magnetometers

EHA-YOLOv5: An Efficient and Highly Accurate Improved YOLOv5 Model for Workshop Bearing Rail Defect Detection Application

RT-FPS: Relaxation Time of Free Precession Signal Measurement Method for Bell-Bloom Magnetometer

Prof. Changyong Chu | System Modeling Award | Best Researcher Award

Prof. Changyong Chu | System Modeling Award | Best Researcher Award 

Prof. Changyong Chu, Hangzhou Dianzi University,China

Changyong Chu is an Associate Professor and the Executive Dean of the School of Information Engineering and the School of Mechanical Engineering at Hangzhou Dianzi University. Gansu Province, China, he holds a Ph.D. in Mechanical Manufacturing and Automation from Nanyang Technological University, Singapore, which he completed in 2007. His educational journey also includes a Master’s in Mechanical Engineering and a Bachelor’s in Mechatronic Engineering, both from Huazhong University of Science and Technology. Dr. Chu’s research interests encompass intelligent manufacturing, digital twin technology, and Model-Based Systems Engineering (MBSE), with a focus on full lifecycle product design, simulation, and verification. He has held various leadership roles in significant projects, including national and provincial initiatives aimed at advancing manufacturing processes and resource optimization. Additionally, he was a visiting scholar at Concordia University in Canada from 2017 to 2018. Dr. Chu’s contributions to the field are marked by his extensive experience in both academia and research, making him a prominent figure in the realm of manufacturing information systems.

Professional Profile:

Summary of Suitability for Best Researcher Award: Professor Changyong Chu

Research Contributions:
Professor Changyong Chu has a distinguished academic background and extensive research experience, specializing in intelligent manufacturing, digital twin technology, and Model-Based Systems Engineering (MBSE). His work spans multiple complex fields such as manufacturing systems, semantic grids, and lifecycle management, which are highly impactful and relevant to modern industrial practices.

🎓 Educational Background

  • 🎓 Ph.D. in Mechanical Manufacturing and Automation, Nanyang Technological University, Singapore (2002.09 – 2007.05)
  • 🎓 Master’s in Mechanical Engineering, Huazhong University of Science and Technology (1999.09 – 2002.07)
  • 🎓 Bachelor’s in Mechatronic Engineering, Huazhong University of Science and Technology (1995.09 – 1999.07)

💻 Specialization

  • Computer-Aided Design (CAD)
  • Semantic Grid
  • Manufacturing Information Systems

🔬 Research Interests

  • 🤖 Intelligent Manufacturing
  • 🌐 Digital Twin
  • ⚙️ Model-Based Systems Engineering (MBSE)
  • 🔄 Full Lifecycle Product Design
  • 🛠️ Simulation and Verification

🏅 Academic and Research Experience

  • 🇨🇦 Visiting Scholar, Concordia University, Canada (2017.07 – 2018.06)
  • 🎯 Project Leader, National Key Laboratory Open Fund (2022.01 – 2023.12): Innovation in Complex Product System Design Methodologies and Tools. Focused on SysML-based multi-domain product model representation and design optimization.
  • 🤖 Project Leader, Zhejiang Provincial Project (2022.01 – 2024.12): Smart production line for metallurgical refining in lifecycle management, developing intelligent deburring robots using digital twin technology.
  • 🧑‍🔬 Project Leader, National Natural Science Foundation Youth Project (2011.01 – 2013.12): Semantic-based optimization of manufacturing resource allocation.
  • 🔧 Project Leader, Zhejiang Provincial Natural Science Fund (2010.01 – 2012.12): Semantic grid resource optimization in mold manufacturing.
  • 🏭 Lead Contributor, Zhejiang Major Science and Technology Project (2007.01 – 2010.12): Collaborative CAD software development for wooden toy design.

Publication top Notes:

Study on Fault Diagnosis of Single-Group Springs of Mining Vibrating Screen

Optimization design and research of ultrasonic flowmeter based on time difference method

Energy absorption, free and forced vibrations of flexoelectric nanocomposite magnetostrictive sandwich nanoplates with single sinusoidal edge on the frictional torsional viscoelastic medium

Energy harvesting and dynamic response of SMA nano conical panels with nanocomposite piezoelectric patch under moving load

Fabrication of Silicon Nanowires by Metal-Assisted Chemical Etching Combined with Micro-Vibration

Bearing Fault Diagnosis Method Based on Deep Learning and Health State Division

Transient dynamic, energy absorption and out-phase/in-phase vibration response of coupled annular/circular SMA nanoplates assuming surface effects on frictional substrates

 

Mr Anandarup Roy | Internet of Things | Best Researcher Award

Mr Anandarup Roy| Internet of Things | Best Researcher Award

Mr Anandarup Roy,Senior Research Fellow, Indian Statistical Institute, Kolkata,India

Anandarup Roy is a Ph.D. candidate in Computer Science at the Indian Statistical Institute (ISI), Kolkata, specializing in combinatorial secret sharing. His thesis was submitted on July 19, 2024, and he expects to receive his degree by December 2024. He is advised by Prof. Bimal Kumar Roy and co-supervised by Prof. Mridul Nandi, both from the Applied Statistics Unit at ISI.

Professional Profile:

Summary of Suitability for the Best Researcher Award:

Anandarup Roy, a Ph.D. candidate at the Indian Statistical Institute, has made significant contributions to the field of computer science, particularly in combinatorial secret sharing. His research extends previous work in Bayesian incentive-compatible mechanism design and social learning, demonstrating a robust understanding of complex statistical models and their applications.

Education

He Naifeng is pursuing a PhD at the prestigious Nanjing University of Aeronautics and Astronautics, where he has built a strong foundation in automation and robotics. His academic journey reflects a commitment to advancing technology in mobile robotics, demonstrating a keen interest in both theoretical knowledge and practical applications.

Work Experience

From 2016 to 2018, Anandarup worked as a project-linked person at the Economics Research Unit of ISI, where he contributed to a project on Bayesian incentive-compatible mechanism design under the supervision of Prof. Manipushpak Mitra. This research extended his master’s thesis by examining learning processes in a social choice environment with risk-neutral agents.

Skills

Anandarup is proficient in using Linux OS (Ubuntu) and LaTeX. He possesses basic programming knowledge in C, making him well-equipped for computational tasks related to his research.

Research Focus

His research focuses on autonomous navigation for wheel-legged robots, with particular emphasis on reinforcement learning in control systems and intelligent motion control. He aims to develop practical applications that enhance the performance and adaptability of mobile robots in challenging environments.

Publication top Notes:

  • Combining Dynamic Selection and Data Preprocessing for Imbalance Learning
    Year: 2018
    Journal: Neurocomputing
    Volume/Pages: 286, 179-192
  • SVM-based Hierarchical Architectures for Handwritten Bangla Character Recognition
    Year: 2009
    Journal: International Journal on Document Analysis and Recognition (IJDAR)
    Volume/Pages: 12, 97-108
  • Lecithin and Venom Haemolysis
    Year: 1945
    Journal: Nature
    Volume/Pages: 155 (3945), 696-697
  • A Novel Approach to Skew Detection and Character Segmentation for Handwritten Bangla Words
    Year: 2005
    Journal: Digital Image Computing: Techniques and Applications (DICTA’05)
    Pages: 30-30
  • JCLMM: A Finite Mixture Model for Clustering of Circular-Linear Data and Its Application to Psoriatic Plaque Segmentation
    Year: 2017
    Journal: Pattern Recognition
    Volume/Pages: 66, 160-173
  • An HMM Framework Based on Spherical-Linear Features for Online Cursive Handwriting Recognition
    Year: 2018
    Journal: Information Sciences
    Volume/Pages: 441, 133-151
  • Pair-Copula Based Mixture Models and Their Application in Clustering
    Year: 2014
    Journal: Pattern Recognition
    Volume/Pages: 47 (4), 1689-1697
  • Character Segmentation for Handwritten Bangla Words Using Artificial Neural Network
    Year: 2005
    Journal: Proceedings of the 1st IAPR TC3 NNLDAR
  • SWGMM: A Semi-Wrapped Gaussian Mixture Model for Clustering of Circular–Linear Data
    Year: 2016
    Journal: Pattern Analysis and Applications
    Volume/Pages: 19, 631-645
  • Headline Based Text Extraction from Outdoor Images
    Year: Not specified (conference paper)
    Journal: Pattern Recognition and Machine Intelligence: 4th International Conference

Assist Prof Dr. Qun Wei | Multimodal Award | Best Researcher Award

Assist Prof Dr. Qun Wei | Multimodal Award | Best Researcher Award 

Assist Prof Dr. Qun Wei, Dept. of Biomedical Engineering, Engineering College, Keimyung University, South Korea

Qun Wei, Ph.D., is an Assistant Professor and CEO at Clairaudience Co., Ltd., and is affiliated with the Department of Biomedical Engineering at the School of Medicine, Keimyung University. Born on October 22, 1984, in Shanghai, China, Dr. Wei holds a Ph.D. in Electronics Engineering from Kyungpook National University, where his research focused on developing a non-intermediary binaural hearing aid with adjustable latency compensation. He also earned his MS and BS in Electronics Engineering and Computer Science from the same institution. Dr. Wei has extensive academic and research experience, having served as a lecturer and teaching assistant at various institutions, including Yeung Jin College and Yeungnam University College. Additionally, he is the Deputy Director of the Center for International Cooperation at Keimyung University. Fluent in Chinese, English, and Korean, Dr. Wei’s work spans video systems, biomedical engineering, and telemetry systems, and he actively contributes to both academic research and industry innovations.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award:

Dr. Qun Wei, an Assistant Professor at Keimyung University and CEO of Clairaudience Co., Ltd., is a strong candidate for the Best Researcher Award. His diverse academic background in Electronics Engineering and Biomedical Engineering, along with his notable research contributions, underline his exceptional qualifications for this recognition.

Education

  • Ph.D. in Electronics Engineering (Sep 2010 – Aug 2014)
    IT College, Kyungpook National University, Daegu, South Korea
    Major: Video System and Biomedical Engineering
    Thesis: Development of Non-Intermediary Binaural Hearing Aid with Adjustable Latency Compensation in Multi-Media Hearing Environment
    Supervisor: Ph.D. Jin-Ho Cho 📚
  • MS in Electronics Engineering and Computer Science (Sep 2008 – Aug 2010)
    Kyungpook National University, Daegu, South Korea
    Major: Video System and Biomedical Engineering
    Thesis: A Telemetry System to Detect Liquid Level of Plastic Bag Intravenous Set using Capacitive Sensor
    Supervisor: Ph.D. Jin-Ho Cho 📚
  • BS in Electronics Engineering and Computer Science (Sep 2004 – Aug 2008)
    Kyungpook National University, Daegu, South Korea 🎓

Academic Employment

  • Assistant Professor (Mar 2015 – present)
    Department of Biomedical Engineering, School of Medicine, Keimyung University, Daegu, South Korea 🏥
  • Deputy Director (Feb 2020 – present)
    Center for International Cooperation, International Office, Keimyung University, Daegu, South Korea 🌐
  • Researcher
    Institute of Biomedical Engineering Research, Kyungpook National University, Daegu, South Korea 🔬
  • Lecturer
    School of Electrical Engineering, Yeung Jin College, Daegu, South Korea 🏫
  • Lecturer
    Division of Electronics and Information Engineering, Yeungnam University College, Daegu, South Korea 📘
  • Teaching Assistant
    Department of Electronics Engineering, IT College, Kyungpook National University, Daegu, South Korea 📝

Dr. Qun Wei is recognized for his contributions to biomedical engineering and his innovative research in hearing aids and telemetry systems. His work bridges academic excellence with practical applications in healthcare technology.

Publication top Notes:

DDM-HSA: Dual Deterministic Model-Based Heart Sound Analysis for Daily Life Monitoring

Novel Design of a Multimodal Technology-Based Smart Stethoscope for Personal Cardiovascular Health Monitoring

Development of a Finger-Ring-Shaped Hybrid Smart Stethoscope for Automatic S1 and S2 Heart Sound Identification

Topography and Anatomical Variations of the Axillary Artery

Designing a Smart Bath Assistive Device Based on Measuring Inner Water Temperature for Bathing Temperature Monitoring

Development of a Wireless Health Monitoring System for Measuring Core Body Temperature from the Back of the Body