Assoc. Prof. Dr Zhonghe He | Mobility Awards | Best Researcher Award

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Assoc. Prof. Dr Zhonghe He | Mobility Awards | Best Researcher Award 

Assoc. Prof. Dr Zhonghe He, North China University of Technology, China

Dr. He Zhonghe is an Associate Professor and postgraduate supervisor with extensive expertise in urban traffic management and control. His research interests focus on urban road traffic state estimation, traffic network modeling and signal control, multi-mode traffic operation evaluation, and public transport vehicle risk monitoring. Dr. He has led 15 projects funded by the National Natural Science Foundation, the National Key Research and Development Plan, and various enterprises, contributing to key innovations in road network balance control, state estimation from traffic data, and video monitoring of public transport. Notably, he developed a traffic signal control system based on an information physical system, enabling closed-loop control from perception to execution. He also pioneered a bus vehicle video monitoring system for identifying and warning abnormal behavior among drivers and passengers, and a vehicle terminal system for remote risk monitoring. His research outcomes have been successfully applied in cities like Beijing, Shandong, Yunnan, and Xinjiang. Dr. He has received four science and technology progress awards, published over 40 papers in SCI/EI journals and conferences, and contributed to a monograph on his field.

Professional Profile:

ORCID

SCOPUS

Suitability for Best Researcher Award: He Zhonghe

Dr. He Zhonghe is highly qualified and an excellent candidate for the Best Researcher Award, as demonstrated by his extensive contributions to the field of urban traffic management and public transport monitoring. Below is a summary of his key accomplishments and attributes that support his suitability for this prestigious award.

Education:

  • Ph.D. in a relevant field (details of institution and specific area of study are not provided in the original description).

Work Experience:

  • Associate Professor at [Institution Name] (specific university details not provided), where he has been actively involved in research and postgraduate supervision. His academic work focuses on urban traffic state estimation, traffic network modeling, signal control, and public transport vehicle risk monitoring, among other topics.
  • He has led and contributed to 15 national and regional research projects, including those funded by the National Natural Science Foundation, the National Key Research and Development Plan, the Beijing Municipal Education Commission, and various enterprises. These projects have led to significant technological innovations and theoretical advancements in traffic management, such as the development of balanced control strategies for road networks and the creation of video monitoring systems for public transport.

Publication top Notes:

Research on Traffic Marking Segmentation Detection Algorithm Based on Feature Fusion

Research on Attack Detection for Traffic Signal Systems Based on Game Theory and Generative Adversarial Networks

Lane Attribute Classification Based on Fine-Grained Description

Assoc Prof Dr. Veli İlçi | Autonomous vehicles | Best Researcher Award

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Assoc Prof Dr. Veli İlçi | Autonomous vehicles | Best Researcher Award

Assoc Prof Dr. Veli İlçi, Ondokuz Mayis University, Turkey

Associate Professor Veli İlçi is an esteemed academic and researcher in the field of Geotechnical Engineering, specializing in measuring techniques and remote sensing. He is currently affiliated with Ondokuz Mayis University, where he has been serving in the Engineering Faculty’s Department of Geomatics since 2020. Prior to this, he held various academic positions at Hitit University from 2012 to 2020, including lecturer and associate professor roles in the Department of Architecture and Urban Planning at the Technical Sciences Vocational School.Prof. İlçi completed his doctoral studies at Yildiz Technical University in 2017, where he focused on a novel method for indoor positioning based on distance measurement and accuracy analysis. He holds a postgraduate degree in Geodesy and Photogrammetry Engineering from Afyon Kocatepe University (2011-2013) and an undergraduate degree from Istanbul Technical University in the same field (2000-2006). His academic journey is further enriched by his proficiency in English, which he commands at a C1 Advanced level.

Professional Profile

🎓 Education:

  • Doctorate (2014-2017): Geomatics, Yildiz Technical University 🏫
  • Postgraduate (2011-2013): Geodesy and Photogrammetry Engineering, Afyon Kocatepe University 🎓
  • Undergraduate (2000-2006): Geodesy and Photogrammetry Engineering, Istanbul Technical University 🎓

🌐 Languages:

  • English: C1 Advanced 🌍

📚 Dissertations:

  • Doctorate (2017): “Kapalımekân konum belirlemede mesafe tabanlı yeni bir yöntem önerisi ve doğruluk analizi” 📝
  • Postgraduate (2013): “Trafik kaza karanoktalarının mekânsal istatistiksel yöntemlerle belirlenmesi: Afyonkarahisar-Konya örneği” 📝

🛠️ Research Areas:

  • Geotechnical Engineering 🏗️
  • Measuring Technique 📏
  • Remote Sensing 🌏

📅 Academic Titles / Tasks:

  • Associate Professor (2020 – Present): Ondokuz Mayis University 🌟
  • Assistant Professor (2017 – 2020): Hitit University 📚
  • Lecturer (2012 – 2017): Hitit University 📖

🏢 Academic and Administrative Experience:

  • Ondokuz Mayis University (2020 – Present):
    • Associate Professor 🏫
  • Hitit University (2017 – 2019):
    • Assistant Professor 🏢

📘 Courses Taught:

  • Arazi Çalışması (2019-2020) 🌳
  • Ölçme Bilgisi – I, II, III, IV (2012-2020) 📏
  • Modern Ölçme Teknikleri – I, II (2013-2018) 🌐
  • Harita Uygulama (2013-2018) 🗺️

 

Publications Notes:📄

The Accuracy Analysis and Usability of Low Cost RTK Portable Kit on Surveying Aims

A Modelling Study by Factorial Design on GNSS Positioning,Estudio de modelado por diseño factorial en posicionamiento de Sistemas Globales de Navegación Satelital

Assessment of Real-Time PPP with Trimble RTX correction service for real-time dynamic displacement monitoring based on high-rate GNSS observations

The kinematic performance of real-time PPP services in challenging environment

The performance evaluation of PPK and PPP-based Loosely Coupled integration in wooded and urban areas,Evaluación de desempeño de la integración débilmente acoplada con el sistema de postproceso cinemático y posicionamiento preciso en áreas arborizadas y urbanas