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

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 💼

  • 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

Dr. Samprit Banerjee | Sensor integration Awards | Excellence in Innovation

Dr. Samprit Banerjee | Sensor integration Awards | Excellence in Innovation

Dr. Samprit Banerjee, Weill Medical College of Cornell University, United States

Dr. Samprit Banerjee is an Associate Professor of Biostatistics at the Weill Medical College of Cornell University, where he has held various academic appointments since 2011. He currently serves as an Associate Professor in both the Division of Biostatistics and the Department of Psychiatry, as well as the Director of the PhD program in Population Health Sciences. Dr. Banerjee’s expertise lies in biostatistics, data science, and epidemiology, with a focus on statistical methods for health research and healthcare policy. He is also a Special Government Employee at the FDA, contributing to the Center for Devices and Radiological Health. Dr. Banerjee has a distinguished academic background, holding a B.Stat and M.Stat from the Indian Statistical Institute, Kolkata, and a PhD in Biostatistics from the University of Alabama at Birmingham. His teaching experience includes directing multiple graduate-level courses in biostatistics, statistical learning, and big data in medicine. Throughout his career, he has mentored numerous junior researchers and contributed to the development of MS and PhD programs in Biostatistics and Data Science. Dr. Banerjee has also served as an elected representative for the Mental Health Statistics Section of the American Statistical Association.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Excellence in Innovation

Samprit Banerjee, PhD, is highly suitable for the “Research for Excellence in Innovation” award based on his extensive academic background, research contributions, and leadership roles in biostatistics, epidemiology, and data science. His expertise in high-dimensional data analysis, machine learning, and multivariate statistics, combined with his significant contributions to medical and healthcare research, makes him a standout candidate.

Education:

  • 1998-2001: B.Stat (Bachelors in Statistics), Indian Statistical Institute, Kolkata, India
  • 2001-2003: M.Stat (Masters in Statistics), Indian Statistical Institute, Kolkata, India
  • 2003-2008: PhD in Biostatistics, Department of Biostatistics, University of Alabama at Birmingham

Work Experience:

  • Jan 2020 – Present: Associate Professor, Division of Biostatistics, Department of Population Health Sciences, Weill Medical College, Cornell University, New York, NY
  • May 2023 – Present: Associate Professor of Biostatistics, Department of Psychiatry, Weill Medical College, Cornell University, New York, NY
  • Jan 2018 – Jan 2020: Associate Professor, Division of Biostatistics and Epidemiology, Department of Healthcare Policy and Research, Weill Medical College, Cornell University, New York, NY
  • Jan 2018 – Present: Adjunct Associate Professor, Department of Statistics and Data Science, Cornell University, Ithaca, NY
  • Nov 2020 – Present: Director (Founding) of PhD Program in Population Health Sciences, Department of Population Health Sciences, Weill Medical College, Cornell University, New York, NY
  • 2014 – Present: Special Government Employee, Center for Devices and Radiological Health (CDRH), Food and Drug Administration (FDA), Silver Springs, MD
  • 2022 – 2024: Elected Council of Sections Representative for the Mental Health Statistics Section of American Statistical Association (ASA)

Past Positions:

  • 2016 – 2020: Director (Founding) of MS Program in Biostatistics & Data Science, Division of Biostatistics and Epidemiology, Department of Healthcare Policy and Research, Weill Medical College, Cornell University, New York, NY
  • May 2011 – Dec 2017: Assistant Professor, Division of Biostatistics and Epidemiology, Department of Healthcare Policy and Research, Weill Medical College, Cornell University, New York, NY
  • May 2011 – Dec 2017: Adjunct Assistant Professor, Department of Statistical Science, Cornell University, Ithaca, NY
  • Aug 2008 – May 2011: Instructor, Division of Biostatistics and Epidemiology, Department of Public Health, Weill Medical College of Cornell University, New York, NY
  • Jun 2005 – Aug 2008: Graduate Research Assistant, Department of Biostatistics, University of Alabama, Birmingham (Supervisor: Dr. Nengjun Yi) – Developed Bayesian methods for detecting gene by gene and gene by environment interactions for QTLs in inbred mice.
  • Aug 2003 – Jun 2005: Graduate Research Assistant, Department of Biostatistics, University of Alabama at Birmingham (Supervisor: Dr. Varghese George) – Worked on Marginal Structural Models to investigate genetic effects in AIDS and developed Bayesian methods for QTL detection in Human Genetics.

Publication top Notes:

Perioperative comparative effectiveness of anesthetic technique in orthopedic patients

CITED:581

Rearrangements of the RAF kinase pathway in prostate cancer, gastric cancer and melanoma

CITED:556

Mechanism-based epigenetic chemosensitization therapy of diffuse large B-cell lymphoma

CITED:219

Epigenetic repression of miR-31 disrupts androgen receptor homeostasis and contributes to prostate cancer progression

CITED:195

Elevated prefrontal cortex GABA in patients with major depressive disorder after TMS treatment measured with proton magnetic resonance spectroscopy

CITED:156

R/qtlbim: QTL with Bayesian interval mapping in experimental crosses

CITED:153