Assoc Prof Dr. Wujing Cao | Intelligent Agriculture Award | Best Researcher Award

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Assoc Prof Dr. Wujing Cao | Intelligent Agriculture Award | Best Researcher Award 

Assoc Prof Dr. Wujing Cao, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China

Wujing Cao is an Associate Professor at the Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences (CAS), and serves as a Master’s thesis supervisor at the University of Chinese Academy of Sciences. Recognized as a young talent by the China Association for Science and Technology, recommended by the Chinese Society of Rehabilitation Medicine, his research focuses on lower limb exoskeletons and intelligent prosthetics. He has led or contributed to 10 national, provincial, and municipal research projects, publishing 20 SCI-indexed journal articles, including 2 ESI Highly Cited Papers as first or corresponding author. With 25 patents to his name, Wujing has earned several prestigious awards, including the Second Prize of the Science and Technology Award from the Chinese Society of Rehabilitation Medicine and the Chapecoense Outstanding Young Scholar Award. His contributions have also been instrumental in winning the First Prize for Technological Invention in Guangdong Province and Shenzhen City, as well as the Second Prize for Scientific and Technological Progress in Chongqing Municipality. He currently holds several prominent roles, including Standing Committee Member and Secretary-General of the Youth Working Committee of the Chinese Society of Rehabilitation Medicine, youth editorial board member of the “Robot” magazine, and special issue editor for three SCI-indexed journals.

Professional Profile:

ORCID

Suitability for the Best Researcher Award: Wujing Cao

In evaluating Wujing Cao’s suitability for the Best Researcher Award, his academic and research accomplishments make a strong case. As an Associate Professor at the Shenzhen Institute of Advanced Technology, CAS, and a Master’s supervisor at the University of Chinese Academy of Sciences, his research focuses on lower limb exoskeletons and intelligent prosthetics—both critical areas in rehabilitation technology and biomechatronics. Supported by the China Association for Science and Technology, he has demonstrated leadership in these fields.

Education:

  • Ph.D. (Details about the institution and year are not provided)
  • Master’s Thesis Supervisor, University of Chinese Academy of Sciences

Professional Experience:

  • Associate Professor, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences (CAS)
  • Master’s Thesis Supervisor, University of Chinese Academy of Sciences
  • Young Talent, Supported by the China Association for Science and Technology (recommended by the Chinese Society of Rehabilitation Medicine)

Publication top Notes:

Modeling and Rotation Control of Servo System With Flexible Structure Based on New Deformation Description

Rotation Angle Control Strategy for the Hip Joint of an Exoskeleton Robot Assisted by Paraplegic Patients Considering Time-Varying Inertia

The Human–Machine Interface Design Based on sEMG and Motor Imagery EEG for Lower Limb Exoskeleton Assistance System

An Autoencoder-Based Feature Extraction Method Applied to the Detection of Lateral Walking Gait Phase

Development and Evaluation of a Hip Exoskeleton for Lateral Resistance Walk Exercise

Inertial Sensing for Lateral Walking Gait Detection and Application in Lateral Resistance Exoskeleton

Dr. Bingwen Qiu | Crop Monitoring Award | Women Researcher Award

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Dr. Bingwen Qiu | Crop Monitoring Award | Women Researcher Award 

Dr. Bingwen Qiu, Fuzhou University, China.

Dr. Qiu Bingwen is a Research Professor at the Key Laboratory of Spatial Data Mining & Information Sharing of the Ministry of Education, based at Fuzhou University in Fujian, China. He holds a Ph.D. in Cartology and GIS from the Graduate School of the Chinese Academy of Sciences, where he conducted multi-scale analyses of regional land use patterns. Dr. Qiu’s research interests center on mapping cropping systems at large scales using optical and radar time series datasets, integrating spatial data for environmental assessment. He has held visiting scholar positions at the Carnegie Institution for Science and the University of Cambridge, working under renowned scientists such as Joe Berry and Robert Haining. His academic background includes a Master’s degree in Environmental Engineering from Huazhong Agricultural University and a Bachelor’s degree in Soil Science from Hunan Agricultural University.

Professional Profile:

SCOPUS

Summary of Suitability for Women Researcher Award:

Dr. Qiu Bingwen, a Research Professor with extensive experience in GIS, cartology, and environmental engineering, has significantly contributed to mapping large-scale cropping systems using optical and radar datasets. She has multiple high-impact publications in the fields of agricultural systems, crop mapping, and sustainability, indicating a strong research portfolio. Dr. Qiu’s academic path includes a Ph.D. from the Chinese Academy of Sciences and multiple visiting scholar appointments at prestigious institutions like the Carnegie Institution for Science and the University of Cambridge.

Education:

  • Ph.D. in Cartology and GIS
    Institute of Geographic Sciences and Natural Resources Research, Graduate School of Chinese Academy of Sciences, Beijing, China
    Sept 2002 – Jun 2006
    Dissertation: Multi-scale analysis of regional land use patterns and its change modeling
    Supervisor: Tianhe Chi
  • Master of Science in Environmental Engineering
    Huazhong Agricultural University, Wuhan, China
    Sept 1997 – Jun 2000
    Thesis: Water & Land Resource analysis and Assessment in South Lake and Shizi Mountain area of Wuhan city Based on GIS
  • Bachelor of Agronomy in Soil Science
    Hunan Agricultural University, Changsha, China
    Sept 1993 – Jun 1997

Work Experience:

  • Visiting Scholar
    Carnegie Institution for Science, Department of Global Ecology
    Sept 2018 – March 2021
    Supervisors: Joe Berry, Gregory P. Asner
  • Visiting Scholar
    University of Cambridge, Department of Geography
    Aug 2009 – Aug 2010
    Supervisor: Robert Haining

Publication top Notes:

National-scale 10-m maps of cropland use intensity in China during 2018–2023

A temporal-spatial deep learning network for winter wheat mapping using time-series Sentinel-2 imagery

National-scale 10 m annual maize maps for China and the contiguous United States using a robust index from Sentinel-2 time series

Mapping upland crop–rice cropping systems for targeted sustainable intensification in South China

Unveiling grain production patterns in China (2005–2020) towards targeted sustainable intensification

Where is tea grown in the world: A robust mapping framework for agroforestry crop with knowledge graph and sentinels images

 

 

Dr. Jyotirmay Mahapatra | Agriculture Award | Best Researcher Award

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Dr. Jyotirmay Mahapatra | Agriculture Award | Best Researcher Award

Dr. Jyotirmay Mahapatra, College of Agricultural Engineering and Technology, OUAT, Bhubaneswar, India

Dr. Jyotirmay Mahapatra is an accomplished agricultural engineer with a Ph.D. in Agricultural Engineering, specializing in Farm Machinery and Power Engineering (FMPE) from the Indian Agricultural Research Institute (IARI), New Delhi. He holds a Master of Technology degree in the same field from Maharana Pratap University of Agriculture and Technology (MPUAT), Udaipur, and a Bachelor’s degree from Orissa University of Agriculture and Technology (OUAT), Bhubaneswar. His academic journey is marked by excellence, having secured top honors at each educational level. With a strong passion for teaching, research, and extension activities in farm mechanization, Dr. Mahapatra has served as an Assistant Professor at Centurion University of Technology and Management (CUTM), Paralakhemundi, Odisha, and has guided numerous undergraduate research projects. His research focuses on optimizing design parameters for agricultural machinery, as evidenced by his published works in various national and international peer-reviewed journals. Notably, he has explored topics such as precision seeding, moisture-dependent properties of grains, and the development of specialized agricultural equipment.

Professional Profile:

Summary of Suitability for Best Researcher Award

Dr. Jyotirmay Mahapatra is a highly qualified candidate for the Best Researcher Award, given his extensive academic background, research achievements, and contributions to the field of Agricultural Engineering.

Education:

  1. High School Certificate Examination – Board of Secondary Education (BSE), Odisha, 2009.
    • Class: First
    • Marks: 89.16%
  2. Higher Secondary Examination Certificate – Council of Higher Secondary Education (CHSE), Odisha, 2011.
    • Class: First
    • Marks: 66.00%
  3. Bachelor of Technology (B.Tech) in Agricultural Engineering – Orissa University of Agriculture and Technology (OUAT), Bhubaneswar, 2015.
    • Class: First
    • Marks: 76.00%
  4. Master of Technology (M.Tech) in Agricultural Engineering, Specialization in Farm Machinery and Power Engineering (FMPE) – Maharana Pratap University of Agriculture and Technology (MPUAT), Udaipur, 2017.
    • Class: First
    • Marks: 81.50%
    • Master’s Research Topic: Optimization of Design Parameters of Power Tiller Rotavator Blade for Dry Land Operation using FEA Technique.
  5. Doctor of Philosophy (Ph.D.) in Agricultural Engineering, Specialization in FMPE – Indian Agricultural Research Institute (IARI), New Delhi, 2023.
    • Class: First
    • Marks: 78.50%
    • Doctoral Research Topic: An Investigation into the Performance of Material Coated Metering Plates for a DC Motor Operated Pneumatic Planter.

Work Experience:

  • Assistant Professor – Centurion University of Technology and Management (CUTM), Paralakhemundi, Odisha.
    • Organized and participated in farmers’ fairs.
    • Guided six B.Tech students in a research project titled “Design of Chaff Cutter for Mushroom Cultivation.”
  • Guest Faculty – College of Agricultural Engineering and Technology (CAET), Odisha University of Agriculture and Technology, Bhubaneswar, Odisha.

Skills:

  • Software Proficiency: Windows 10/8/7, C, MS Office, Solid works, Ansys, EDEM, Design Expert, SAS.
  • Communication and Presentation: Strong communication and presentation skills with experience in publishing articles in national and international journals and presenting research work at conferences.

Publication top Notes:

An Adjustable Pneumatic Planter with Reduced Source Vibration for Better Precision in Field Seeding

An Adjustable Pneumatic Planter with Reduced Source Vibration for Better Precision in Field Seeding