Dr. Kuanxin Shen | Artificial intelligent Awards | Best Researcher Award

Dr. Kuanxin Shen | Artificial intelligent Awards | Best Researcher Award

Dr. Kuanxin Shen , Shenyang University of Technology , China

Kuanxin Shen, a 27-year-old PhD candidate in Control Science and Engineering at Shenyang University of Technology, China, focuses his research on 3D Gaze Estimation using neural networks and deep learning. He holds a Bachelor’s degree earned in 2021 and a Master’s degree obtained in 2024. From 2022 to 2024, Kuanxin worked as an Algorithm Developer at Ningbo Chunjian Electronic Technology Co., Ltd., specializing in 3D intelligent perception in automotive cockpits. His research achievements include a Chinese utility model patent, several Chinese computer software copyrights, and three Chinese invention patents related to 3D eye tracking and gaze estimation. Kuanxin has also authored a book on industrial robot simulation and published a paper in the journal Sensors. He has been recognized with the third prize in the Henan Province College Students’ Robot Innovation Competition, a first-class academic scholarship, and the Excellent Thesis Award from Liaoning Province for his master’s thesis.

Professional Profile:

Orcid

๐ŸŽ“Educational Background:

Kuanxin Shen earned his Bachelor’s degree in 2021 and obtained his Master’s degree in 2024. He is currently pursuing a PhD in Control Science and Engineering at Shenyang University of Technology, China.

๐ŸขWork Experience:

From 2022 to 2024, Kuanxin Shen worked as an Algorithm Developer at Ningbo Chunjian Electronic Technology Co., Ltd., specializing in 3D intelligent perception in automotive cockpits. His responsibilities included driver gaze detection, skeleton landmark detection, behavior detection (such as smoking and phone usage), and the detection of driver distraction and fatigue. His tasks encompassed image processing, 3D detection, data annotation, cleaning, augmentation, neural network training, and model testing.

๐Ÿ†Awards and Recognitions:

During his undergraduate studies, Kuanxin Shen won the Third Prize in the 6th Henan Province College Students’ Robot Innovation Competition. In April 2024, he was awarded the First-Class Academic Scholarship during his master’s studies. In May 2024, his master’s thesis titled “Research on the Application of Driver Gaze Estimation Technology in DMS” received the Excellent Thesis Award from Liaoning Province, China

Publication Top Notes:

Title: Model-Based 3D Gaze Estimation Using a TOF Camera

  • Journal: Sensors

 

 

Ms. Nathalia Hidalgo Leite | Artificial Neural Networks | Best Researcher Award

Ms. Nathalia Hidalgo Leite | Artificial Neural Networks | Best Researcher Award

Ms. Nathalia Hidalgo Leite, State University of Campinas, Brazil

๐ŸŽ“ Nathalia Hidalgo Leite is a Ph.D. candidate in Energy Systems Planning at the State University of Campinas (Unicamp) ๐Ÿ‡ง๐Ÿ‡ท, focusing on electric mobility. She also holds an MBA in Value Investing from UniBTA and an M.S. in Energy Systems Planning from Unicamp, and a B.S. in Agronomic Engineering from UFSCar ๐ŸŒฑ. As a researcher at CPTEn and CPFL Energy, and an instructor at Unicamp, she has contributed significantly to energy systems planning and education. Her international academic experience includes programs in Portugal ๐Ÿ‡ต๐Ÿ‡น, Denmark ๐Ÿ‡ฉ๐Ÿ‡ฐ, Spain ๐Ÿ‡ช๐Ÿ‡ธ, Italy ๐Ÿ‡ฎ๐Ÿ‡น, and the USA ๐Ÿ‡บ๐Ÿ‡ธ. Nathalia’s research interests span the economic and financial viability of energy systems, artificial neural networks, and renewable energy integration ๐ŸŒž. Proficient in Portuguese, English, and Spanish, she holds numerous certifications in finance and technical skills ๐Ÿ“Š. Her achievements are recognized by multiple academic and extracurricular awards, underscoring her dedication and multifaceted talents ๐ŸŒŸ.

๐ŸŒ Professional Profile:

Google Scholar

๐ŸŽ“ Educational Background

Nathalia Hidalgo Leite is currently pursuing a Ph.D. in Energy Systems Planning at the State University of Campinas (Unicamp) ๐Ÿ‡ง๐Ÿ‡ท, focusing on the economic and financial viability for electric mobility. She also holds an MBA in Value Investing from UniBTA and an M.S. in Energy Systems Planning from Unicamp, where she studied the economic viability of photovoltaic solar energy. Nathalia completed her B.S. in Agronomic Engineering at the Federal University of Sao Carlos (UFSCar), researching artificial neural networks applied to Asian soybean rust ๐ŸŒฑ.

๐Ÿข Professional Experience

Nathalia is an accomplished researcher and instructor. At Unicamp, she has taught courses in computer algorithms, programming, numerical calculation, and discrete mathematics. As a researcher at the Sao Paulo Center for Energy Transition Studies (CPTEn) and previously at CPFL Energy, she has made significant contributions to energy systems planning. Nathalia also worked as a Financial Planning and Analysis Specialist at Grupo JLJ and interned at Ecomark Indรบstria e Comรฉrcio de Fertilizantes Especiais Ltda ๐ŸŒŸ.

๐ŸŒ International Experience

Nathalia has enriched her academic journey with several exchange programs. She spent six months at the University of Lisbon ๐Ÿ‡ต๐Ÿ‡น and the University of Southern Denmark ๐Ÿ‡ฉ๐Ÿ‡ฐ, three months at Universitat Politรจcnica de Valรจncia ๐Ÿ‡ช๐Ÿ‡ธ, one month at Universitร  degli Studi di Roma La Sapienza ๐Ÿ‡ฎ๐Ÿ‡น, and also attended Beverly Hills High School ๐Ÿ‡บ๐Ÿ‡ธ and Moore Elementary School in Colorado ๐Ÿ‡บ๐Ÿ‡ธ during her earlier education ๐Ÿ“š.

๐Ÿ“ Research Interests

Nathalia’s research interests include the economic and financial viability of energy systems, artificial neural networks, and the integration of renewable energy sources. She is particularly focused on interdisciplinary approaches to solving complex problems in energy planning and sustainability ๐ŸŒž.

๐ŸŒ Certifications and Skills

Nathalia holds numerous certifications in finance, photovoltaic systems, scientific writing, and programming. She is proficient in Portuguese (native), English (fluent), and Spanish (advanced). Her technical skills and continuous learning make her a versatile and knowledgeable professional in her field ๐Ÿ“Š.

๐Ÿ† Awards and Recognitions

Nathalia has received several awards for academic and extracurricular excellence, including the Excellence in Academic Performance award from Anglo Middle School ๐Ÿ‡ง๐Ÿ‡ท and multiple accolades from Lincoln Junior High School ๐Ÿ‡บ๐Ÿ‡ธ for academic achievement, athletic performance, and leadership. These recognitions highlight her dedication and multifaceted talents ๐ŸŒŸ.

Publication Top Notes:

1. ย Artificial Neural Networks Applied to Plant Disease
2. ย Study of Asian Soybean Rust

 

 

Dr. Zhihe Lu | Transfer Learning | Best Researcher Award

Dr. Zhihe Lu | Transfer Learning | Best Researcher Award

Dr. Zhihe Lu, National University of Singapore, Singapore

๐Ÿ‘จโ€๐Ÿ’ผ Zhihe Lu is a dedicated researcher in the field of Computer Vision, with a focus on Transfer Learning, Few-shot Learning, and Continual Learning. He holds a Doctoral Degree in Computer Vision from CVSSP, University of Surrey, UK, where he conducted innovative research under the supervision of Prof. Tao Xiang. Prior to that, he completed his Master’s Degree in Computer Vision at the Institute of Automation, Chinese Academy of Sciences, and obtained a Bachelor of Engineering in Automation from Zhengzhou University. Currently, Zhihe serves as a Research Fellow at the National University of Singapore, contributing to the CARTIN project for scene understanding. His previous experience includes an internship at the AI center of Samsung, UK. Zhihe’s passion for advancing computer vision technologies drives his commitment to exploring novel approaches in the field. ๐Ÿ–ฅ๏ธ

Professional Profile:

Google Scholar

๐Ÿ“š Education:

  • Doctoral Degree in Computer Vision from CVSSP, University of Surrey, UK (2019.07 – 2022.09) under the supervision of Prof. Tao Xiang.
  • Master’s Degree in Computer Vision from Institute of Automation, Chinese Academy of Sciences (2016.09 – 2019.06) under the supervision of Prof. Ran He.
  • Bachelor of Engineering in Automation from College of Electrical Engineering, Zhengzhou University (2010.09 – 2014.06).

๐Ÿ’ผ Working Experiences:

  • Research Fellow at National University of Singapore, Singapore (2022.09 – Present), working on part of the CARTIN project for scene understanding.
  • Intern at AI center of Samsung, UK (2021.10 – 2022.04).

๐Ÿ” Research Interests:

Zhihe Lu’s research interests lie in the areas of Computer Vision, Transfer Learning, Few-shot Learning, and Continual Learning.

Publication Top Notes: