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

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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

Dr. Xueting Luo | Wireless Tracking Awards | Best Researcher Award

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Dr. Xueting Luo | Wireless Tracking Awards | Best Researcher Award 

Dr. Xueting Luo, School of Electronic and Information Engineering, Hebei University of Technology, China

Luo Xueting is a dedicated graduate student at Hebei University of Technology, specializing in Electronic Science and Technology with a focus on photoelectric communication. She previously studied at Tianjin University of Science and Technology, where she earned both her Master’s and Bachelor’s degrees in Electronic Information and Electronic Information Engineering, respectively, achieving impressive academic results and ranking in the top 8% and 10% of her class. Xueting’s research contributions include a published paper in the journal of Electronics on a large-bandwidth lithium niobate electro-optic modulator for frequency-division multiplexing RFID systems. She has actively participated in innovation and entrepreneurship competitions, earning multiple accolades for her team’s project on a thin film lithium niobate acousto-optic modulator. With nearly two years of internship experience at the Quanzhou Tianjin University Integrated Circuit and Artificial Intelligence Research Institute, she has gained practical skills in the production and testing of electro-optic modulators, contributing to several patented innovations. Proficient in both Chinese and English, Xueting is also skilled in various software tools for simulation and design. Outside of her academic pursuits, she enjoys music, playing badminton, basketball, and billiards, reflecting her diverse interests and well-rounded character.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award: Luo Xueting

Luo Xueting is an exemplary candidate for the Best Researcher Award, demonstrating a strong commitment to excellence in electronic science and technology, particularly in the field of photoelectric communication. Here are the key points that highlight his qualifications.

Education 🎓

  • Hebei University of Technology (2024 – Present)
    • Graduate Major: Electronic Science and Technology
    • Research Direction: Photoelectric Communication
  • Tianjin University of Science and Technology (2021 – 2024)
    • Graduate Major: Electronic Information
    • Research Direction: Photoelectric Communication
    • Exam Results: 3.79 (87.89 average)
    • Ranked in the top 8% of major
  • Tianjin University of Science and Technology (2017 – 2021)
    • Undergraduate Major: Electronic Information Engineering
    • Exam Results: 3.6 (86 average)
    • Ranked in the top 10% of major
    • Notable Scores:
      • Signal Processing Software Design: 92%
      • Digital Signal Processing: 94%
      • Digital Electronic Technology: 97%
      • DSP Principle and Application: 97%

Work Experience 💼

  • Intern
    Quanzhou Tianjin University Integrated Circuit and Artificial Intelligence Research Institute (2023)

    • Gained training and familiarity with the production and testing process of electro-optic modulators
    • Authorized Patents:
      • Preparation Method of Internal Electrode Type Thin Film Lithium Niobate Electro-Optic Modulator: CN 116626922B
      • Waveguide Matrix Thin Film Lithium Niobate Electro-Optic Modulator: CN 116626923B
      • Multi-Mode Matrix Micro Nano Universal Fiber: 202321922225.3
    • Patent Applications:
      • A Multi-Layer Nested Tapered Electrode Lithium Niobate Electro-Optic Modulator and Its Preparation Process: CN 116819806A
      • A Y-Waveguide Modulator Half-Wave Voltage Test System: CN 116840543A

Achievements 🏆

  • Publication:
    • “Large-Bandwidth Lithium Niobate Electro-Optic Modulator for Frequency-Division Multiplexing RFID Systems” (2024)
  • College Students’ Innovation and Entrepreneurship Competition:
    • Gold Medal in School Competition 🥇
    • Gold Medal in Provincial Competition 🥇
    • Bronze Medal in International Competition 🥉
    • Contributed to the discussion and fabrication of a thin film lithium niobate acousto-optic modulator

Awards and Honors 🥇

  • Ranked in the top 8% of major in Graduate Studies at Tianjin University of Science and Technology
  • Ranked in the top 10% of major in Undergraduate Studies at Tianjin University of Science and Technology

Publication Top Notes:

Large-Bandwidth Lithium Niobate Electro-Optic Modulator for Frequency-Division Multiplexing RFID Systems

Mr Anandarup Roy | Internet of Things | Best Researcher Award

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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