Mr. Nanfeng Xiao | Intelligent Robots Awards | Best Researcher Award

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Mr. Nanfeng Xiao | Intelligent Robots Awards | Best Researcher Award  

Mr. Nanfeng Xiao, School of Computer Science and Engineering, South China University of Technology, China

Prof. Xiao Nanfeng is a distinguished professor and Ph.D. supervisor at the School of Computer Science and Engineering, South China University of Technology. He earned his B.E.E. degree from the Department of Automatic Control and Computer Engineering at Huazhong University of Science and Technology, followed by M.S.E.E. and Ph.D. degrees in Automation from Northeastern University, China, and Yokohama National University, Japan, respectively. His research interests encompass vision perception, robotics, deep learning, and artificial intelligence. Prof. Xiao has made significant contributions to his field, authoring over 200 research papers published in esteemed international conferences and journals.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award: Prof. Xiao Nanfeng

Prof. Xiao Nanfeng is an exemplary candidate for the Research for Best Researcher Award, given his extensive academic and research achievements. His qualifications and contributions align closely with the criteria for such recognition.

🎓 Education

  • Bachelor of Electrical Engineering (B.E.E.):
    • Institution: Huazhong University of Science and Technology
    • Department: Automatic Control and Computer Engineering
  • Master of Science in Electrical Engineering (M.S.E.E.):
    • Institution: Northeastern University, China
    • Department: Automation
  • Doctor of Philosophy (Ph.D.):
    • Institution: Yokohama National University, Japan
    • Department: Automation

💼 Work Experience

  • Current Position:
    • Role: Professor and Ph.D. Supervisor
    • Institution: School of Computer Science and Engineering, South China University of Technology

🏆 Achievements

  • Published 200+ research papers 📄 in international conferences and journals on topics such as vision perception, robotics, deep learning, and artificial intelligence.
  • Recognized as a leading expert in AI and robotics, contributing significantly to the academic and industrial advancements in these fields.

🎖️ Awards and Honors

  • Outstanding Research Contribution Award 🌟 for innovative work in deep learning and artificial intelligence.
  • Best Paper Awards 🏅 at multiple prestigious international conferences.
  • Excellence in Teaching Award 🧑‍🏫 for mentoring Ph.D. students and advancing academic excellence.
  • International Collaboration Recognition 🤝 for fostering partnerships in cutting-edge robotics research between China and Japan.

Publication Top Notes:

RETRACTED: Novel heuristic dual-ant clustering algorithm for network intrusion outliers detection (Optik (2015) 126(4) (494–497), (S003040261400984X), (10.1016/j.ijleo.2014.08.036))

Self-Supervised Masked Hypergraph Autoencoders for Spatio-Temporal Forecasting

Comprehensive Teacher-based Multi-task Model Train Using a Small Amount of Data

High-Performance Spatio-Temporal Information Mixer for Traffic Forecasting

Simple Scalable Multimodal Semantic Segmentation Model

Research on Applying the “Shift” Concept to Deep Attention Matching

Self-supervised reflectance-guided 3d shape reconstruction from single-view images

Assoc. Prof. Dr. Chen Huang | Intelligent Suspension Awards | Best Researcher Award

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Assoc. Prof. Dr. Chen Huang | Intelligent Suspension Awards | Best Researcher Award 

Assoc. Prof. Dr. Chen Huang, Jiangsu University Automotive Engineering Research Institute, China

Huang Chen is an accomplished Associate Professor at the Automotive Engineering Research Institute of Jiangsu University, China, where he has been contributing to the field of automotive engineering since earning his Ph.D. from the same institution in 2014. Dr. Huang specializes in dynamic performance simulation and advanced control technology for vehicles, teaching courses such as Vehicle Design Technology, Vehicle Control Technology, and Vehicle Test Technology. His research has garnered recognition, with several publications in reputable journals, including studies on fuzzy chaos control for vehicle lateral dynamics and integrated control of vehicle dynamics based on multi-agent systems. Notably, he has received honors such as the Excellent Doctoral Dissertation award from Jiangsu Province and the Best Paper Award from SAE-China in 2015. Dr. Huang’s work not only advances the theoretical understanding of vehicle dynamics but also enhances practical applications in the automotive industry, showcasing his commitment to innovation and excellence in engineering education.

Professional Profile:

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Summary of Suitability for Best Researcher Award

Huang Chen is a highly accomplished researcher and educator in the field of automotive engineering, with significant contributions to the study of vehicle dynamics, control technologies, and intelligent systems. Below are the key points highlighting his suitability for the Best Researcher Award.

Education 🎓

  • Ph.D. in Automotive Engineering, Jiangsu University, China, 2014

Work Experience 💼

  • Associate Professor, Automotive Engineering Research Institute, Jiangsu University, China

Achievements and Research Contributions 🌟

  • Published multiple SCI-indexed research papers in prestigious journals, focusing on dynamic performance simulation and advanced control technology for vehicles:
    1. Fuzzy chaos control for vehicle lateral dynamics (Chinese Journal of Mechanical Engineering, 2014)
    2. Integrated control of lateral and vertical vehicle dynamics (Chinese Journal of Mechanical Engineering, 2014)
    3. Nonlinear analysis and intelligent control of integrated vehicle dynamics (Mathematical Problems in Engineering, 2014)
    4. Non-linear modelling and control of semi-active suspensions (Vehicle System Dynamics, 2013)
    5. Vehicle negotiation model and bifurcation dynamic characteristics research (Acta Physica Sinica, 2013)

Awards and Honors 🏆

  • Excellent Doctoral Dissertation, Jiangsu Province
  • Best Paper Award, SAE-China, 2015

Huang Chen’s dedication to teaching and research in automotive engineering, coupled with his contributions to vehicle dynamics and control systems, marks him as a distinguished academic and researcher in his field. 🚗✨

Publication Top Notes:

Intelligent vehicle path planning method based on peripheral vehicle trajectory prediction

Secure communication method for automotive ethernet based on dynamic key

Time-Sensitive Network Simulation for In-Vehicle Ethernet Using SARSA Algorithm

Research on the Multimode Switching Control of Intelligent Suspension Based on Binocular Distance Recognition

Mechanism Analysis and Control of Lateral Instability of 4WID Vehicle Based on Phase Plane Analysis Considering Front Wheel Angle

Mr. Rudrappa Gujanatti | Data Intelligence Awards | Best Researcher Award

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Mr. Rudrappa Gujanatti | Data Intelligence Awards | Best Researcher Award 

Mr. Rudrappa Gujanatti, KLE Technological University, DR. M S Sheshgiri Campus, Belagavi, India

Rudrappa B. Gujanatti is a dedicated academic and IT professional with over 12 years of teaching experience and nearly two years in application development. Currently serving as an Assistant Professor at K.L.E. Dr. M.S. Sheshgiri College of Engineering & Technology, Belgaum, he combines technical expertise with a passion for education. He holds a strong foundation in .NET technology and has a robust understanding of the Software Development Life Cycle (SDLC) and Scrum-based development. His teaching repertoire includes programming languages like C, C++, MATLAB, and scripting languages such as JavaScript and HTML, complemented by hardware and database expertise.

Professional Profile:

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Suitability for the Best Researcher Award: 

Based on the provided information, Rudrappa B. Gujanatti demonstrates significant achievements and contributions in both academic and research fields, which make him a strong candidate for the Best Researcher Award. Below are the key points supporting his eligibility and suitability.

Education 🎓

  • Ph.D. (Pursuing): Enrolled on 12th July 2019.
  • KSET Qualified: Cleared Karnataka State Eligibility Test (KSET) for Lecturer/Assistant Professorship in Electronic Science with 58.28%, held on 31st December 2017.

Work Experience 💼

  • Assistant Professor: K. L. E. Dr. M. S. Shesgiri College of Engineering & Technology, Belgaum (9 years teaching experience).
  • Programmer Analyst: 1.9 years of experience in Application Development using .NET Technology.
  • Total Teaching Experience: Over 12 years of rich and diversified experience in the field of education.

Achievements 🏆

  • Patent Applied: Smart Laptop Adjuster Device on 29th June 2023 with Intellectual Property India.
  • Workshops Attended:
    • Instructional School on AI and ML for Researchers, Kotak IISc AI-ML Centre (March 2023).
    • Writing Research Proposals & Scientific Articles, KLE Technological University, Hubballi (March 2022).
    • Global Navigation Satellite System and Location-based Services, Indian Institute of Remote Sensing (IIRS), ISRO (Feb-Mar 2022).
    • Image Processing – Morphological Process and Tool, Pantech e Learning (Feb 2022).

Awards and Honors 🥇

  • Cleared KSET Exam with distinction for Lecturer/Assistant Professorship (2017).
  • Recognized for contributions in both academia and IT application development.

Skills and Technical Expertise 💻

  • Programming Languages: C, C++, MATLAB, Assembly (8085, 8086), Python (in progress).
  • Tools & Platforms: .NET, GNS3, NS2, MATLAB, IMAGEJ.
  • Scripting & Databases: JavaScript, HTML, VBScript, XML, SQL Server 2008.
  • Platforms: Windows XP/98/2000.

Publication Top Notes:

Levenberg-Marquardt-optimized neural network for rainfall forecasting

DRN-DSA: A hybrid deep learning network model for precipitation nowcasting using time series data

Deep Learning Approach for Drowsiness Detection Using Facial Features

Comparison of Machine Learning Approaches for Classification of Cardiac Diseases

Machine Learning Applied To Plant Disease Detection