Assoc Prof Dr. Chunzhu WEI | Risk Management | Best Researcher Award

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Assoc Prof Dr. Chunzhu WEI | Risk Management | Best Researcher Award

Sun Yat-Sen University, China

Author Profile

Google Scholar

🎓 Early Academic Pursuits

Dr. Chunzhu Wei is a distinguished Chinese geographer whose academic journey reflects a seamless blend of dedication, technical proficiency, and interdisciplinary exploration. His foundation in science began at Northwest University in Xi’an, where he earned his Bachelor of Science in Environmental and Resource Science (2006–2010). During this period, his early curiosity in geoinformatics and spatial data analysis sparked the design of a population evacuation simulation model, laying the groundwork for his future focus on GIS and remote sensing applications in environmental and urban contexts.

He pursued his Master’s degree in Automation from the University of Electronic Science and Technology of China in Chengdu (2010–2013), where he sharpened his skills in data analysis, spatial modeling, and systems engineering. These competencies matured into a deeper academic engagement during his Ph.D. studies in Geoinformatics at the University of Salzburg, Austria (2013–2017). There, he expanded his research on urban and environmental analytics with a global lens, engaging with European and Asian institutions in collaborative international science projects.

🧑‍💼 Professional Endeavors

Currently serving as an Associate Professor at the School of Geography and Planning, Sun Yat-sen University, Guangzhou, Dr. Wei has positioned himself at the forefront of research and teaching in geospatial analytics, urban resilience, and global trade network simulation. His academic home, nestled within one of China’s leading research universities, provides a vibrant environment for interdisciplinary exploration and innovation.

Dr. Wei has helmed and collaborated on a multitude of prestigious projects over the last 15 years. Notably, he leads a major project (2025–2028) on global shipping network resilience under extreme events using AIS data and agent-based modeling, reflecting his expertise in simulating dynamic systems. Another significant project (2021–2023) investigates port-proximate area evolution in the South China Sea Rim across scales—global to local—offering practical insights for economic and environmental planning.

His earlier professional contributions span a range of impactful domains: from urban heat island estimation in international research programs between China and Hungary to coastal risk assessments in Portugal under the Copernicus EMS Risk and Recovery Mapping. These experiences have enriched his technical palette in satellite image processing, vulnerability assessment, and spatial-statistical integration.

🛰️ Contributions and Research Focus

Dr. Wei’s research orbits around several interlinked cores: multi-source satellite imagery, urban and trade network resilience, and geospatial statistical methods. His work merges physical and social dimensions of geography, enabling him to tackle climate stress, urban inequality, and global logistics with scientific rigor and data-driven strategies.

A prolific author, his scholarly contributions include recent publications in high-impact journals:

  • In Resources, Conservation and Recycling (2025), he analyzed post-pandemic grain trade resilience, offering a novel port-centric view of global food security.

  • His work in Marine Pollution Bulletin (2025) highlights increased marine and terrestrial heatwave events in China’s coastal zones—an urgent environmental challenge.

  • Published in Transportation Research Part D (2024), he advanced port cluster resilience assessment using hypergraph and agent-based modeling—a cutting-edge methodological innovation.

  • He has also addressed urban deprivation, land surface temperature, and unplanned settlement mapping using super-resolution GANs, as seen in the International Journal of Digital Earth (2023).

Each study reveals Dr. Wei’s commitment to integrating advanced computation, spatial science, and policy relevance in tackling some of today’s most pressing geographic issues.

🏆 Accolades and Recognition

While specific awards are not detailed in the provided record, Dr. Wei’s sustained leadership in major national and international research programs and his publication record in reputable peer-reviewed journals signify substantial recognition in the academic and professional geospatial communities. His international collaborations—especially across Europe and Asia—demonstrate his esteem and reach within global research networks.

🌍 Impact and Influence

Dr. Wei’s influence resonates through both scholarly and practical domains. His insights on urban morphology, climate risk, and trade system fragility are increasingly relevant as cities grapple with environmental stress, shifting demographics, and geopolitical uncertainties. His work on coastal aquaculture, port accessibility, and urban vulnerability informs sustainable planning and policy adaptation.

Furthermore, his research informs decision-makers, urban planners, and logistics experts on how to design robust, equitable, and climate-resilient infrastructures. By quantifying and modeling the interdependencies within urban and trade systems, he provides tools for managing shocks—natural or socio-economic—in a rapidly changing world.

🔮 Legacy and Future Contributions

Looking ahead, Dr. Wei is poised to play a pivotal role in shaping resilient urban and trade systems through AI-integrated spatial modeling, remote sensing innovations, and cross-scale analytics. His leadership in longitudinal satellite analysis and agent-based simulations positions him as a thought leader in designing adaptive systems for complex, multi-layered geographic phenomena.

With his roots in field-based inquiry and his eyes on satellite-based surveillance of Earth systems, Dr. Wei bridges local concerns with global strategies. His career thus far suggests a future rich in cross-disciplinary breakthroughs, particularly at the intersections of climate science, urban resilience, and technological foresight.

Understanding the effects of 2D/3D urban morphology on land surface temperature based on local climate zones

Authors: L Zhou, B Yuan, F Hu, C Wei, X Dang, D Sun
Journal: Building and Environment
Year: 2022

Measuring urban agglomeration using a city-scale dasymetric population map: A study in the Pearl River Delta, China

Authors: C Wei, H Taubenböck, T Blaschke
Journal: Habitat International
Year: 2017

Assessment of coastal aquaculture for India from Sentinel-1 SAR time series

Authors: KA Prasad, M Ottinger, C Wei, P Leinenkugel
Journal: Remote Sensing
Year: 2019

Relationship between urban landscape structure and land surface temperature: Spatial hierarchy and interaction effects

Authors: L Zhou, F Hu, B Wang, C Wei, D Sun, S Wang
Journal: Sustainable Cities and Society
Year: 2022

Multiscale evaluation of an urban deprivation index: Implications for quality of life and healthcare accessibility planning

Authors: P Cabrera-Barona, C Wei, M Hagenlocher
Journal: Applied Geography
Year: 2016

Dr. Erfan Shahab | Risk Management | Best Researcher Award

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Dr. Erfan Shahab | Risk Management | Best Researcher Award

Toronto Metropolitan University, Canada

🔗 Professional Profiles

🌍 Summary:

Erfan Shahab is a dedicated Industrial Engineer with a strong focus on quantum machine learning and optimization. With a robust academic background and professional experience in teaching, writing, and editing math books, Erfan brings a unique blend of technical skills and practical knowledge to his field.

🎓 Education:

  • Ph.D. in Industrial Engineering 🎓
    Toronto Metropolitan University (2024)
  • Thesis: Quantum Machine Learning and Optimization
  • Supervisor: Sharareh Taghipour (Canada Research Chair – Director of the RRMR Lab)
  • M.Sc. in Industrial Engineering 🎓
    Sharif University of Technology (2018-2020)
  • Thesis: Resilient Cloud Networks
  • B.Sc. in Industrial Engineering 🎓
    Khaje Nasir Toosi University (2013-2017)
  • Honors: National Scholarship for B.Sc., Ranked top 1% in nationwide university entrance

Professional Experience

  • Teacher, Writer & Editor of Math Books 📝
    Freelance (2013-2024)

Research Interests

  • Quantum Machine Learning 🧠
  • Optimization Techniques ⚙️
  • Resilient Cloud Networks ☁️
  • Supply Chain Management 🔗

Skills

  • Technical Skills: Optimization, Supply Chain Management, Data Analysis, Python 🐍
  • Languages: English (IELTS – Overall: 7.5) 🇬🇧

 

Publication Top Noted

Designing a resilient cloud network fulfilled by reinforcement learning

  • Authors: Erfan Shahab, Mohsen Taleb, Fatemeh Gholian-Jouybari, Mostafa Hajiaghaei Keshteli
  • Journal: Expert Systems with Applications
  • Year: 2024-06
  • DOI: 10.1016/j.eswa.2024.124606

 A production bounce-back approach in the Cloud manufacturing network: case study of COVID-19 pandemic

  • Authors: Erfan Shahab, Amirhossein Kazemisaboor, Sharif Khaleghparast, Omid Fatahi Valilai
  • Journal: International Journal of Management Science and Engineering Management
  • Volume: (To be updated as not provided)
  • ISSN: 1750-9653, 1750-9661

A novel service composition model considering the role of resilience in cloud supply networks

  • Authors: Erfan Shahab, Sharif Khaleghparast, Omid Fatahi Valilai
  • Journal: (To be updated as not provided)
  • Year: 2020
  • DOI: 10.13140/RG.2.2.15595.57126

Brajesh Kumar-Risk Managemet -Leadership in Technological Advancement Award 

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Mr Brajesh Kumar-Risk Managemet -Leadership in Technological Advancement Award 

C. V. Raman Global University-India 

Author Profile  

  • Orcid 

Early Academic Pursuits

Brajesh Kumar embarked on his academic journey at Digwar High School in Ramgarh, Jharkhand. His dedication and commitment were evident as he secured an impressive 85% in his matriculation exams. Moving forward, he pursued his intermediate education at Jubilee College Bhurkunda, Ramgarh, achieving a commendable 73%.

The pursuit of knowledge continued as he entered C.V. Raman Global University in Bhubaneswar for a B-Tech in Computer Science with a specialization in Data Science. Brajesh's academic prowess is underscored by his noteworthy CGPA of 8.56, showcasing a strong foundation in his chosen field.

Professional Endeavors

Brajesh Kumar's professional journey has been marked by impactful experiences, evident in his summer training internships. At SAIL, Bhilai Steel Plant, he delved into the intricacies of the Vendor Registration Process. Notably, he designed a user-friendly registration portal using JSP, with Oracle Database storing the captured details. The integration with Apache Tomcat showcased his proficiency in bridging the gap between front-end and server-side functionalities.

Subsequently, at ONGC, Brajesh Kumar contributed to Oil and Gas Leakage Analysis and Equipment Failure Detection. Leveraging machine learning, he successfully identified equipment failure cases, providing valuable insights into the frequency, net losses, and categorization of incidents in oil and gas companies. His work aimed not only to detect issues but also to predict potential accidents, emphasizing a proactive approach to minimize losses.

Contributions and Research Focus

Brajesh Kumar's research work reflects his commitment to advancing technology's impact on real-world challenges. His paper, "An Advanced Blockchain-based Hyperledger Fabric Solution for Tracing Fraudulent Claims in Healthcare," showcases a fusion of blockchain and machine learning. This innovation aims to enhance safety, transparency, and efficiency in the healthcare industry by creating a tamper-proof platform for detecting fraudulent insurance claims.

Additionally, his conference paper on the "Advanced Diagnostic Framework with Vision Transformer for Multi-class Skin Disease Classification" demonstrates a keen interest in healthcare technology. The use of Vision Transformer in a novel diagnostic framework reflects a forward-thinking approach to address skin diseases through machine learning.

Accolades and Recognition

Brajesh Kumar's journey is adorned with numerous accolades and certificates, reflecting his prowess in various competitions. He emerged as the Ideathon Winner on Technology Day 2023, showcasing his ability to ideate and innovate. His participation and success in Smart India Hackathon, CSE TechWar 2023, Kavach Hackathon, and the Innovation, Design, and Entrepreneurship Bootcamp in IIT BBSR underscore his versatility and competence in tackling diverse challenges.

Risk management is a critical aspect of any organization's strategic planning and operational framework. It involves the identification, assessment, and mitigation of potential risks that could impact the achievement of organizational objectives. In the first phase of risk management, organizations systematically identify and categorize potential risks, considering internal and external factors. This process involves evaluating uncertainties that may arise from various sources, such as financial markets, regulatory changes, technological disruptions, or natural disasters. Once risks are identified, the next step is to assess their potential impact and likelihood of occurrence. This assessment allows organizations to prioritize risks based on their severity and the level of exposure, enabling them to allocate resources effectively to manage and mitigate these risks.

Impact and Influence

The projects Brajesh Kumar has undertaken illustrate his practical application of knowledge. From developing a web application for skin disease detection to creating a real-time number plate detection system using YOLO models, his work exhibits a tangible impact on healthcare and security domains. The integration of blockchain in a financial transaction network further showcases his understanding of cutting-edge technologies and their potential societal impact.

Legacy and Future Contributions

As Brajesh Kumar continues to excel in academia and the professional realm, his legacy is shaping up to be one of innovation and problem-solving. With a solid foundation in blockchain, machine learning, and big data analysis, coupled with proficiency in languages and web development, he is poised to contribute significantly to the tech landscape. His commitment to ongoing research and practical implementations sets the stage for future breakthroughs, solidifying his role as a trailblazer in the field of computer science and data science.

Risk management is a critical aspect of any organization's strategic planning and operational framework. It involves the identification, assessment, and mitigation of potential risks that could impact the achievement of organizational objectives. In the first phase of risk management, organizations systematically identify and categorize potential risks, considering internal and external factors. This process involves evaluating uncertainties that may arise from various sources, such as financial markets, regulatory changes, technological disruptions, or natural disasters. Once risks are identified, the next step is to assess their potential impact and likelihood of occurrence. This assessment allows organizations to prioritize risks based on their severity and the level of exposure, enabling them to allocate resources effectively to manage and mitigate these risks.

Notable Publications