Mr. Qingchen Zhou | Environmental monitoring | Best Researcher Award

Mr. Qingchen Zhou | Environmental monitoring | Best Researcher Award 

Mr. Qingchen Zhou, Tianjin Agricultural University, China

Zhou Qingchen holds a Bachelor’s degree in Hydrology and Water Resources Engineering from Tianjin Agricultural University (2016–2022) and is currently pursuing a Master’s degree in Civil Engineering and Water Conservancy at the same institution (2022–2025). His research focuses on fluid mechanics, environmental and ecological hydraulics, particularly the spatial and temporal distribution of water environmental factors in urban lakes and their response to hydrodynamic conditions. His master’s thesis, Application Research of Bloom Warning Based on EFDC and Machine Learning Model, reflects his expertise in eutrophication monitoring and hydrodynamic modeling. Zhou has contributed to multiple research projects, including the Development of an Intelligent Platform for Monitoring and Warning of Water Eutrophication, and has published several academic papers on eutrophication, lake hydrodynamics, and turbine cavitation. His work has led to patents related to water environment governance and greenhouse technology. Beyond academics, Zhou has served in the Chinese People’s Liberation Army (2017–2019), earning an Outstanding Soldier Commendation. He has held leadership roles in student organizations, won a Silver Award in the 2024 National Postgraduate Rural Revitalization Case Competition, and gained practical experience as an assistant at the Tianjin River Chief System Affairs Center. He holds a C1 motor vehicle license, a military construction machinery license, and possesses CET-4 level English proficiency.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award 

Zhou Qingchen has demonstrated strong academic and research capabilities, particularly in the field of hydrology, environmental hydraulics, and fluid mechanics. His research focuses on the spatial and temporal distribution of water environmental factors in urban lakes and their response to hydrodynamics and environmental factors. This aligns with critical areas of water resource management and environmental sustainability.

📚 Education

🎓 Tianjin Agricultural University (2016.9 – 2022.6)

  • Bachelor’s degree in Hydrology and Water Resources Engineering

🎓 Tianjin Agricultural University (2022.9 – 2025.6, expected)

  • Master’s degree in Civil Engineering and Water Conservancy
  • Research Focus: Fluid Mechanics, Environment & Ecological Hydraulics
  • Thesis: Application Research of Bloom Warning Based on EFDC and Machine Learning Model

💼 Work & Practical Experience

🪖 Border Guard Unit, Northern Theater Command, PLA (2017.9 – 2019.9)

  • Served in the military with Outstanding Soldier Commendation (2018)

🏫 Dalian Army College, PLA (2018.06 – 2018.09)

  • Military professional study

🏢 Tianjin River Chief System Affairs Center (2024.02.21 – 2024.03.21)

  • Affairs Assistant

🎓 Graduate Student Associations

  • Minister of Life Department, 12th Graduate Student Association, Tianjin Agricultural University (2022.11 – 2023.11)
  • Head of Tianjin Branch Center, 13th Guizhou Graduate Student Association (2024.06.13 – Present)

🏆 Awards & Honors

🏅 First-class Scholarship for postgraduate studies
🥈 Silver Award & Personal Style Award – 2024 National Postgraduate Rural Revitalization Case Competition
🎖 Outstanding Soldier Commendation – Recognized for excellent service in 2018
🏅 Cadre of the 12th Outstanding Graduate Student Association – Tianjin Agricultural University
🌟 Outstanding Member of the Communist Youth League – Awarded by the Communist Youth League Guizhou Provincial Committee in Beijing

📜 Research Achievements

🔬 Research Projects

  • Development of Intelligent Platform for Monitoring and Warning of Water Eutrophication

📄 Published Papers

  1. A Study of the Effect of Lake Shape on Hydrodynamics and EutrophicationSustainability 2025, 17, 1720
  2. Research Progress on Eutrophication Response Rules and Bloom Warning MethodsChina Rural Water Resources and Hydropower, 2024 (07)
  3. Review on Cavitation of Low Head Mixed-Flow TurbineJournal of Tianjin Agricultural University, 2024 (04)

📑 Patents

  1. Water Environment Governance Method and Platform Based on Mathematical Model & AI
  2. A Water-Insulated Greenhouse with a Back Wall

🎯 Skills & Certifications

🚗 C1 Motor Vehicle Driving License & Construction Machinery Driving License (Military)
🗣 Languages: English (CET-4) | Mandarin (Second Class)

Publication Top Notes:

A Study of the Effect of Lake Shape on Hydrodynamics and Eutrophication

A review of low head Francis turbine cavitation research

Progress of Research on Eutrophication Response Law and Early Warning Method of Water Bloom in Water Bodies

Mr. Harsh Vazirani | Remote Sensing Awards | Best Researcher Award

Mr. Harsh Vazirani | Remote Sensing Awards | Best Researcher Award 

Mr. Harsh Vazirani, School of Aerospace, Mechanical and Mechatronics Engineering, Australia

This individual is currently pursuing PhD studies at the University of Sydney, having secured a scholarship from the Ministry of Social Justice to pursue their research abroad. With over 11 years of experience in the fields of Information Technology (IT), GIS, Remote Sensing, and Library and Information Science, they have demonstrated expertise across various sectors, including teaching, consulting, and project development. Notably, they worked as a Consultant (IT) in the Department of Disability Affairs, Government of India, New Delhi, and contributed to the development of GIS and Remote Sensing projects for the Madhya Pradesh Agency for Promotion of Information Technology.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award

The candidate is currently pursuing a Ph.D. at the University of Sydney, building on a solid foundation with an M.Tech in Information Technology and an M.Sc. in GIS & Remote Sensing. Their academic journey also includes certifications in Geo-informatics and a 5-year integrated M.Tech & B.Tech program from the Indian Institute of Information Technology and Management, Gwalior.

🎓 Academic Excellence:

Harsh Vazirani is currently pursuing a Ph.D. from the University of Sydney, supported by a prestigious scholarship from the Ministry of Social Justice, Government of India. He holds an integrated M.Tech and B.Tech in Information Technology from ABV-IIITM, Gwalior (2005-2010), completed with distinction. Additionally, he earned an M.Sc. in GIS & Remote Sensing from Mahatma Gandhi Gramodya Vishwavidyalaya (2015-2017). 📚

💻 Technical Expertise:

Harsh is an innovative thinker with hands-on experience in cutting-edge technologies including Python, MATLAB, PHP, AJAX, XML, and platforms such as Open Layer, D-Space, Arc GIS, Q-GIS, and Postgres SQL. His skillset extends to cloud computing, library automation systems (KOHA, D-Space), and web technologies like HTML, CSS, and JavaScript. 🌐

📊 Professional Experience:

With over 11 years of experience, Harsh has excelled in both teaching and non-teaching roles:

  • Consultant (IT): Department of Disability Affairs, Government of India, New Delhi 🏛️
  • GIS Executive: Madhya Pradesh Agency for Promotion of Information Technology 🗺️
  • Assistant Professor: Maulana Azad National Institute of Technology, Bhopal 🏫
  • Head of Department: Acropolis Institute of Technology and Research, Bhopal 💼
  • Project Fellow: Regional Institute of Education, Bhopal 📖

📌 Additional roles include positions in software development, web design, and GIS projects, making significant contributions to national and regional-level initiatives.

🛰️ Research Aspirations:

Harsh aims to deepen his expertise in Aerospace and Spacecraft System Engineering, leveraging his strong foundation in physics, engineering, GIS, and IT.

Publication top Notes:

Evolutionary radial basis function network for classificatory problems

Diagnosis of breast cancer by modular neural network

Fusion of speech and face by enhanced modular neural network