Mr. Chunhui Xu | Sensor Integration Awards | Best Researcher Award

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Mr. Chunhui Xu | Sensor Integration Awards | Best Researcher Award

Mr. Chunhui Xu, Shenyang Institute of Automation, Chinese Academy of Sciences, China

Xu Chunhui is a distinguished male researcher and Master Supervisor at the Shenyang Institute of Automation, part of the Chinese Academy of Sciences. He holds a Master of Engineering and a Bachelor of Engineering from Harbin Engineering University. Xu has extensive experience in autonomous underwater vehicles (AUVs), specializing in areas such as software architecture, path planning, navigation control, and fault diagnosis. His professional journey includes roles as an Assistant Researcher and Research Intern at the Shenyang Institute, where he has made significant contributions to the field, earning several awards including the Special Prize for the Science and Technology Promotion Award of the Chinese Academy of Sciences. Xu has a robust patent portfolio with numerous inventions related to underwater robotics, including collision avoidance technologies and navigation methods. His research continues to advance the capabilities of AUVs, with a focus on applications in deep-sea exploration and resource management.

Professional Profile:

SCOPUS

Xu Chunhui for the Best Researcher Award

Xu Chunhui is a distinguished male Master Supervisor at the Shenyang Institute of Automation, Chinese Academy of Sciences. His expertise lies in autonomous underwater vehicle (AUV) technologies, particularly in software architecture, path planning, navigation control, and fault diagnosis. His extensive educational background includes a Master of Engineering and a Bachelor of Engineering from Harbin Engineering University.

Education 🎓

  • Master of Engineering
    Harbin Engineering University
    September 2005 – March 2008
  • Bachelor of Engineering
    Harbin Engineering University
    September 2001 – August 2005

Work Experience đź’Ľ

  • Associate Researcher
    Shenyang Institute of Automation, Chinese Academy of Sciences
    April 2016 – Present
  • Assistant Researcher
    Shenyang Institute of Automation, Chinese Academy of Sciences
    October 2010 – March 2016
  • Research Intern
    Shenyang Institute of Automation, Chinese Academy of Sciences
    April 2008 – September 2010

Achievements 🏆

  • Science and Technology Promotion Award of the Chinese Academy of Sciences
    Special Prize, 2021
  • 3D Real-time Collision Avoidance Technology of Autonomous Underwater Robot
    Second Prize, Provincial Level, 2019
  • Research and Application of Key Technologies for Autonomous Exploration System of Deep-sea Resources
    First Prize, Ministry Level, 2018

Publication Top Notes:

Applications of Autonomous Underwater Vehicle in Submarine Hydrothermal Fields: A Review

Guided Trajectory Filtering for Challenging Long-Range AUV Navigation

A fault diagnosis method with multi-source data fusion based on hierarchical attention for AUV

Ocean Temperature Prediction Based on Stereo Spatial and Temporal 4-D Convolution Model

Accurate two-step filtering for AUV navigation in large deep-sea environment

A fault diagnosis method based on attention mechanism with application in Qianlong-2 autonomous underwater vehicle

Prof. Xiaoji Niu | Sensor Fusion Awards | Best Researcher Award

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Prof. Xiaoji Niu | Sensor Fusion Awards | Best Researcher Award 

Prof. Xiaoji Niu, Wuhan University, China

Dr. Xiaoji Niu is a distinguished professor at the GNSS Research Center of Wuhan University, where he has been leading a team of approximately 20 researchers since March 2010. His expertise lies in integrated navigation systems, particularly in the integration of Inertial Navigation Systems (INS) with Global Navigation Satellite Systems (GNSS). Dr. Niu has been pivotal in advancing deep integration technology for high-precision GNSS/INS systems, aimed at enhancing Position and Orientation Systems (POS) for mobile mapping applications. Prior to his current role, he served as a senior scientist at Shanghai SiRF Technology Co., Ltd., where he spearheaded research and development on dead-reckoning technology and played a key role in the production release of inertial-aided GPS firmware. Dr. Niu’s academic foundation includes a Ph.D. in Navigation and Control from Tsinghua University, where he focused on micromachined attitude measurement units for satellite TV antenna stabilization, and a B.Sc. with honors in Mechanical Engineering. His contributions to the field are recognized internationally, underscoring his commitment to advancing navigation technologies.

Professional Profile:

SCOPUS

Research for Best Researcher Award: 

Professor Xiaoji Niu, currently at the GNSS Research Center of Wuhan University, is a highly accomplished researcher with a notable record in navigation and integrated systems. His extensive experience and impressive contributions to the field make him a strong candidate for the Best Researcher Award.

Education

  • Ph.D. in Navigation and Control
    Institution: Tsinghua University, China
    Department: Department of Precision Instruments
    Duration: Sep 1997 – Dec 2002
    Dissertation: “Micromachined Attitude Measurement Unit with Application in Satellite TV Antenna Stabilization”
    Supervisor: Prof. Zhongyu Gao
  • B.Sc. (with Honors)
    Institution: Tsinghua University, China
    Departments:

    • Department of Precision Instruments (Mechanical Engineering, Major)
    • Department of Automation (Electrical Engineering, Minor)
      Duration: Sep 1992 – Jul 1997

Work Experience

  • Professor
    Institution: GNSS Research Center, Wuhan University
    Duration: Mar 2010 – Present
    Responsibilities:

    • Leading a team of approximately 20 researchers, including 2 postdoctoral researchers.
    • Research on Integrated Navigation Systems (INS and GNSS/INS integration).
    • Deep integration technology for GNSS/INS.
    • Commercializing high-precision GNSS/INS integration techniques for Position and Orientation Systems (POS) for Mobile Mapping Systems (MMS).
    • Developing compact and low-cost MEMS INS for land vehicles and UAV applications.
  • Senior Scientist
    Institution: Shanghai SiRF Technology Co., Ltd
    Department: Advanced Technologies Dept.
    Duration: Feb 2007 – Feb 2010
    Responsibilities:

    • Leading R&D on Dead-Reckoning (DR) technology, including inertial-aided GPS.
    • Technical lead for DR production projects.
    • Started production release of DR firmware in Q2 2008; released to three customers with shipments of over 500k chips, leading to product shipments by two customers.
  • Research Scientist
    Institution: The University of Calgary, Canada
    Department: Mobile Multi-Sensor System (MMSS) Research Group
    Duration: Oct 2005 – Feb 2007
    Responsibilities:

    • Led projects including:
      • Intermap Project (2006-2007): “Assessment of the Intermap Navigation Software and Hardware” (funded by Intermap Technologies Inc.).
      • SiRF Project – Phase II (2005-2006): “Inertial Aided GPS (Phase II)” (funded by SiRF Technology Inc.).
        Supervisor: Dr. Naser El-Sheimy
  • Postdoctoral Fellow
    Institution: The University of Calgary, Canada
    Department: Mobile Multi-Sensor System (MMSS) Research Group
    Duration: Feb 2003 – Sep 2005
    Responsibilities:

    • Led projects including:
      • SiRF Project – Phase I (2005): “Inertial Aided GPS (Phase I)” (funded by SiRF Technology Inc.).
      • MEMS Project (2003-2005): “Next Generation MEMS-Based Navigation System for Vehicles and Personal Location and Navigation” (funded by GEOIDE, Network Center of Excellence).
        Supervisor: Dr. Naser El-Sheimy

Publication top Notes:

Multi-level information fusion enhanced by scene constraint: Key to improve autonomous positioning accuracy in urban underground pipeline using MEMS inertial sensors

Onboard multi-source fusion train positioning method based on railway track irregularity matching

INS-Aided GNSS Pseudo-Range Error Prediction Using Machine Learning for Urban Vehicle Navigation

RANSAC-Based Fault Detection and Exclusion Algorithm for Single-Difference Tightly Coupled GNSS/INS Integration

An Iterative Method for the Distance Constraints in a Multi-Sensor Positioning System

Dr. Srinivas Balivada | Hidden Sensors Award | Best Researcher Award

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Dr. Srinivas Balivada | Hidden Sensors Award | Best Researcher Award

Dr. Srinivas Balivada, University of Chicago Trust, India

Dr. Srinivasa Balivada is a consultant with the University of Chicago Trust in Delhi, India, and a guest scientist at the University of Chicago. He holds a Ph.D. in Chemistry from Andhra University, where his research focused on trace elements in diabetes mellitus and hypertension. Dr. Balivada’s expertise lies in developing innovative cyber-physical systems for real-time monitoring of soil and water quality, leveraging AI to promote sustainable environmental management.

Professional Profile:

Summary of Suitability for Best Researcher Award: Srinivasa Balivada, Ph.D.

Research Contributions: Srinivasa Balivada has made significant advancements in the field of cyber-physical systems and environmental monitoring. His research has been pivotal in developing innovative technologies for real-time soil and water quality monitoring, leveraging machine learning and advanced sensor networks. Some notable contributions include:

Education

  • Ph.D. in Chemistry, October 2018
    Andhra University, India
  • M.Sc. in Bio-Inorganic Chemistry, May 2007
    Andhra University, India
  • B.Sc. in Chemistry, Botany, and Zoology, May 2005
    Andhra University, India

Work Experience

  • Guest Scientist & Consultant, May 2024 – Present
    University of Chicago & University of Chicago Trust, Delhi, India
    Focus: Designing a web-based platform integrating water quality data with contextual information to identify pollution sources and enhance monitoring.
  • Staff Scientist & Resident Associate, May 2023 – May 2024
    University of Chicago & Material Science Division, Argonne National Laboratory
    Focus: Developed a novel machine learning algorithm for spatially mapping soil moisture using topographic parameters.
  • Postdoctoral Scholar & Resident Associate, May 2019 – May 2023
    University of Chicago & Material Science Division, Argonne National Laboratory
    Advisor: Prof. Supratik Guha; Co-advisor: Dr. Roser Matamala
    Focus: Developed low-power, wireless underground sensor networks for soil property collection; created a deep learning algorithm for soil moisture estimation.
  • Senior Research Lead, May 2017 – April 2019
    University of Chicago Centre, Delhi, India
    Focus: Developed a cyber-physical sensing system for high-resolution surface water quality mapping; created a soft measurement technique for water quality assessment.
  • Research Scholar, 2010 – 2017
    School of Chemistry, Andhra University, India
    Advisor: Prof. M S Prasada Rao
    Focus: Developed a method for simultaneous trace element determination in blood samples; investigated trace element associations with diabetes and hypertension.
  • Research Fellow, 2010 – 2017
    Centre for Studies on Bay of Bengal, Andhra University, India
    Focus: Developed algorithms for quantifying chlorophyll, chromophoric organic matter, and suspended solids in coastal waters; monitored algal blooms using satellite remote sensing.
  • Teaching Assistant, 2011 – 2017
    Department of Inorganic and Analytical Chemistry, Andhra University, India
    Taught and graded laboratory sessions for Bio-Inorganic Chemistry and Environmental Chemistry.
  • Chemist in Quality Control Department, 2007 – 2009
    Auctus Pharma Ltd., India
    Responsibilities: Conducted routine and non-routine analyses of raw materials and finished products, compiled data, and calibrated analytical instruments including HPLC, GC, IR, and UV-Vis spectrometers.

Publication top Notes:

 

Distribution of trace metals in surface seawater and zooplankton of the Bay of Bengal, off Rushikulya estuary, East Coast of India

CITED:76

A Wireless Underground Sensor Network Field Pilot for Agriculture and Ecology: Soil Moisture Mapping Using Signal Attenuation

CITED:14

Contrasting bio-optical characteristics of coastal water prior to and in the aftermath of a tropical super cyclone

CITED:8

Particle backscattering variability in the coastal waters of Bay of Bengal: a case study along off Kakinada and Yanam regions

CITED:8

Retrieval and validation of chlorophyll-a concentrations in the coastal waters Off Yanam and Kakinada (Godavari) basin along East coast of India

CITED:7

 

Dr. Guozhang Yan | Space sensor systems | Best Researcher Award

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Dr. Guozhang Yan | Space sensor systems | Best Researcher Award

Dr. Guozhang Yan ,Hunan University,China

Guozhang Yan is a Ph.D. candidate in the School of Public Administration at Hunan University, specializing in Applied Economics. Previously, he completed another Ph.D. in Science of Law with a focus on Insurance and Social Security at the same institution. His research interests include elderly care, long-term care services, pension finance, and population aging. He has contributed to major projects funded by the National Social Science Fund of China, focusing on policy support systems and long-term care insurance. Guozhang has received multiple awards for academic excellence, including national and provincial scholarships, and is skilled in using various statistical and research software.

Professional Profile:

Orcid

Evaluation for Guozhang Yan’s Suitability for the Best Researcher Award

Guozhang Yan’s extensive research on elderly care and pension finance, supported by his dual Ph.D. degrees and involvement in high-impact projects, position him as a highly suitable candidate for the Best Researcher Award. His contributions to policy support systems and long-term care insurance, along with his recognition for academic excellence, make him a deserving recipient of this prestigious honor.

🎓Education:

Guozhang Yan is currently pursuing a Ph.D. in Applied Economics at the School of Public Administration, Hunan University, China, where he has achieved a GPA of 92.5/100. His core courses include Special Topics on Metric Method and Advanced Econometrics, under the supervision of Prof. Lianyou Li. He also completed a Ph.D. in Science of Law with a focus on Insurance and Social Security at the same university from 2019 to 2023, maintaining a GPA of 92.5/100. His coursework in this program was similar, with a focus on advanced econometrics and metric methods. Additionally, Guozhang holds a Master of Science in Insurance and Social Security from Xiangtan University, China, with a GPA of 83/100, where he studied Theory of Insurance and Research Methods of Social Science. He completed his undergraduate studies with a Bachelor of Science in Marketing at Weifang University of Science and Technology, China, graduating with a GPA of 4.0/5 and focusing on Marketing, Statistics, Microeconomics, and Macroeconomics.

🏢Work Experience:

Guozhang Yan has accumulated significant research experience in his field. Since July 2019, he has served as a Research Assistant on a major project funded by the National Social Science Fund of China (SSFC) at Hunan University, where he is responsible for developing policy support systems for elderly care. His work involves constructing policy frameworks, studying multi-subject participation, and providing policy support research. From June 2018 to January 2019, he worked on a project for the Shenzhen Government Development Research Center, focusing on constructing and analyzing long-term care insurance policies and offering policy recommendations for the Shenzhen government. Additionally, from July 2016 to March 2019, he contributed to a Youth Project of SSFC at Hunan University, where he assessed risk factors and coping strategies for new rural social endowment insurance. During this period, he also led a study at Xiangtan University on the health quality of life for rural elderly based on the old-age insurance system, analyzing the system’s impacts and suggesting improvements for local government policies.

🏆Awards:

Guozhang Yan has been recognized with several prestigious awards throughout his academic career. He received the National Scholarship for Postgraduates in November 2018 and was honored as an Excellent Graduate of Hunan Province in April 2019. Additionally, he was named an Excellent Graduate of Xiangtan University and a Triple-A Student in September 2019, and he also received the Principal Scholarship of Xiangtan University in April 2019. In September 2020, he was awarded the Ph.D. Scholarship by Hunan University. These accolades highlight his exceptional academic achievements and contributions to his field of study.

Publication Top Notes:

  • Title: Complementarity or Crowding Out: The Effects of Government-Led Philanthropic Development

 

 

 

 

Prof. Chaoran Liu | Microsystems Award | Best Researcher Award

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Prof. Chaoran Liu | Microsystems Award | Best Researcher Award 

Prof. Chaoran Liu, Hangzhou Dianzi University, china

Chaoran Liu is a distinguished professor at Hangzhou Dianzi University, where he has been shaping the field of microelectronics and solid-electronics since January 2021. Dr. Liu earned his Ph.D. in Microelectronics and Solid-electronics from the Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, in September 2017. Prior to that, he completed his Master’s in Physical Electronics and his Bachelor’s in Electronics Science and Technology at Zhengzhou University. With a career spanning both academic and practical realms, Dr. Liu’s research interests include MEMS sensors, flexible wearable sensors, triboelectric nanogenerators, smart sensor systems, and integrated circuits. His work is pivotal in advancing sensor technology and its applications, reflecting his deep commitment to innovation and excellence in the field.

Professional Profile:

ORCID

Education:

  • Ph.D. in Microelectronics and Solid-Electronics
    Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, China
    September 2014 – September 2017
  • M.E. in Physical Electronics
    College of Physical Engineering, Zhengzhou University, China
    September 2011 – March 2014
  • B.S. in Electronics Science and Technology
    College of Physical Engineering, Zhengzhou University, China
    September 2007 – July 2011

Work Experience:

  • Associate Professor / Professor
    Hangzhou Dianzi University, Hangzhou, China
    January 2021 – Present
  • Lecturer
    Hangzhou Dianzi University, Hangzhou, China
    September 2017 – December 2020

Publication top Notes:

A self-powered and high sensitivity acceleration sensor with V-Q-a model based on triboelectric nanogenerators (TENGs)

A silicon nanowire array biosensor fabricated by complementary metal oxide semiconductor technique for highly sensitive and selective detection of serum carcinoembryonic antigen

Harvesting ultralow frequency (< 1 Hz) mechanical energy using triboelectric nanogenerator

Self-propelled droplet-based electricity generation

A self-powered acceleration sensor with flexible materials based on triboelectric effect