Mr. Zitong Wen | Remote Sensing | Best Researcher Award

Posted on 22/05/202522/05/2025 by Computer Vision Awards

Summary

Mr. Zitong Wen is a dedicated Ph.D. candidate in Civil Engineering at the University of Bristol, specializing in the impacts of urbanization and climate change on city heatwave resilience. With strong academic roots in structural engineering and sustainability, he brings a multidisciplinary perspective to civil infrastructure and environmental modeling.

Education

Ph.D. in Civil Engineering, University of Bristol (2022–Present)
Focus: Urban heatwave resilience using high-resolution spatiotemporal data.
M.Sc. in Civil Engineering, University of Birmingham (2020–2021)
Research: Energy-efficient design of GFRP-reinforced concrete beams.
B.Eng. in Civil Engineering, Southeast University Chengxian College (2016–2020)
Courses: Bridge Engineering, Structure Mechanics, Highway Construction.

Work Experience

Teaching Assistant, University of Bristol (2024–Present)
Supports seminars, student engagement, and academic logistics.
Intern Road Engineer, Haotai Engineering Construction Group (2019)
Contributed to highway pavement recycling and project management.

Research Experence

Research Assistant, Cardiff University (2024–Present)
Project on wind–rainfall interaction effects on bridge slope stability.
Research Assistant, Southeast University (2018)
Collapse analysis of the Miami pedestrian bridge using FEM.

Research Interests

Urban heat resilience
Remote sensing in civil infrastructure
Wind–rainfall interaction modeling
Structural safety and sustainability

Skills

Coding: MATLAB, R
3D Software: AutoCAD, Revit
Data Tools: SPSS, Microsoft Office

Publications

How can we improve data integration to enhance urban air temperature estimations?

Author: Zitong Wen, Lu Zhuo, Meiling Gao, Dawei Han
Journal: International Journal of Applied Earth Observation and Geoinformation
Year: 2025

Potential methods to improve urban air temperature estimations

Author: Zitong Wen, Lu Zhuo, Dawei Han
Journal: AGU Fall Meeting Abstracts
Year: 2024

Data fusion for estimating high-resolution urban heatwave air temperature

Author: Zitong Wen, Lu Zhuo, Qin Wang, Jiao Wang, Ying Liu, Sichan Du, Ahmed Abdelhalim, Dawei Han
Journal: Remote Sensing
Year: 2023

Estimating air temperature with high spatio-temporal resolution in urban areas during heatwaves using genetic programming algorithm combined with multi-source datasets

Author: Zitong Wen, Lu Zhuo, Qin Wang, Dawei Han
Journal: EGU General Assembly Conference Abstracts
Year: 2023

Rapid Flood inundation mapping using SAR data with Google Earth Engine cloud platform

Author: Qin Wang, Lu Zhuo, Chen Li, Miguel Rico-Ramirez, Zitong Wen, Dawei Han
Journal: EGU General Assembly Conference Abstracts
Year: 2023

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

Posted on 20/11/202420/11/2024 by Computer Vision Awards

Early Academic Pursuits

Mr. Harsh Narendra Vazirani embarked on his academic journey with an innate passion for technology and innovation. He earned his M.Tech and B.Tech in Information Technology from the prestigious Indian Institute of Information Technology and Management (ABVIIITM), Gwalior, where he graduated with first division honors. His academic excellence continued with an M.Sc. in GIS & Remote Sensing from Mahatma Gandhi Gramodya Vishwavidhaylay, Satna. Dr. Vazirani also pursued specialized certifications in Geo-informatics from Indira Gandhi National Open University, solidifying his foundation in GIS and Remote Sensing technologies.

Professional Endeavors

Mr. Vazirani’s professional career is marked by his versatile roles in both the public and private sectors. He worked as a Consultant (IT) in the Department of Disability Affairs, Government of India, where he made significant contributions to the technological landscape of government services. In addition, his tenure in various positions, including Project Manager for Web Development and GIS Executive at Madhya Pradesh Agency for Promotion of Information Technology, reflects his deep involvement in shaping technology-driven services. His leadership roles at Maulana Azad National Institute of Technology and Acropolis Institute of Technology and Research have enriched the academic community.

Contributions and Research Focus

Mr. Vazirani’s research interests span several cutting-edge fields, including Information Technology, GIS, Remote Sensing, and Aerospace Engineering. His work on GIS and Remote Sensing applications for environmental monitoring and technological development has been groundbreaking. His focus has expanded into Aerospace, where he aims to explore spacecraft system engineering by leveraging his foundational knowledge in physics and engineering. His research also reflects his innovative mindset and a deep commitment to solving complex problems in these diverse fields.

Impact and Influence

With over 11 years of experience in IT, GIS, and Remote Sensing, Dr. Vazirani has established himself as an influential figure in his field. He has contributed significantly to the development of institutional repositories, GIS platforms, and library automation systems. His work with the Department of Disability Affairs and various educational institutions showcases his ability to impact both the public sector and academic institutions positively. Dr. Vazirani’s involvement in national and international research projects and his contributions to the development of GIS tools have had a lasting effect on the technological landscape.

Academic Cites

Mr. Vazirani’s research and technical contributions have earned him recognition within the academic community. He has authored more than 17 papers published in both international and national conferences, providing valuable insights into the applications of GIS and Remote Sensing in various domains. His ability to merge the principles of Information Technology and engineering with practical applications has made his work an influential source for further academic research.

Technical Skills

Mr. Vazirani possesses a robust technical skill set that spans across several high-demand technologies. He is proficient in programming languages like Python, MATLAB, and PHP, as well as GIS software such as ArcGIS, QGIS, and Postgres SQL. His work also involves advanced web technologies, including HTML, CSS, and JavaScript, and he has developed expertise in creating GIS solutions using platforms such as Geo-JSON, Open Layers, and AutoCAD Map. His comprehensive understanding of both the theoretical and practical aspects of these technologies has enabled him to make significant contributions in multiple domains.

Teaching Experience

Mr. Vazirani has enriched the academic environment by serving as a faculty member in various technical institutes. He has taught diverse courses at national-level engineering institutions and has also contributed to training programs in GIS and Remote Sensing. His dedication to mentoring students and guiding research projects reflects his commitment to fostering the next generation of engineers and researchers.

Legacy and Future Contributions

Looking ahead, Mr. Vazirani’s legacy in Information Technology, GIS, Remote Sensing, and Aerospace continues to grow. As a recipient of the prestigious overseas scholarship for PhD studies from the Ministry of Social Justice, India, he is poised to make substantial contributions to the fields of Aerospace and Spacecraft System Engineering. His research is expected to bridge the gap between Earth sciences and space exploration, opening up new frontiers for scientific discovery and technological advancement.

Mr. Harsh Narendra Vazirani’s journey is a testament to innovation, dedication, and the pursuit of knowledge. His contributions to GIS, Remote Sensing, and Aerospace Engineering promise to make a lasting impact on both the academic and technological spheres.

Publications

Highly Efficient JR Optimization Technique for Solving Prediction Problem of Soil Organic Carbon on Large Scale

Authors: Harsh Vazirani, Xiaofeng Wu, Anurag Srivastava, Debajyoti Dhar, Divyansh Pathak
Journal: Sensors
Year: 2024

New Model for Optimized Searching for Image Retrieval in Digital Libraries

Authors: PK Tripathy, Harsh Vazirani
Year: 2016

An Improvement Study Report of Face Detection Techniques using Adaboost and SVM

Authors: Rajeev Kumar Singh, Anubhav Sharma, Alka Gulati, Harsh Vazirani
Journal: International Journal of Computer Science and Information Security
Year: 2011

Offline handwriting recognition using genetic algorithm

Authors: Rahul Kala, Harsh Vazirani, Anupam Shukla, Ritu Tiwari
Journal: arXiv preprint arXiv:1004.3257
Year: 2010

Evolutionary Radial Basis Function Network for Classificatory Problems.

Authors: Rahul Kala, Harsh Vazirani, Nishant Khanwalkar, Mahua Bhattacharya
Journal: Int. J. Comput. Sci. Appl.
Year: 2010

Prof. Iago Llantada | Satellite Imagery Analysis | Best Researcher Award

Posted on 09/08/202409/08/2024 by Computer Vision Awards

Education

Prof. Iago R. Llantada is a Professor of Geography currently associated with the State of Santa Catarina, Brazil. He earned his Bachelor’s degree in Oceanography in 2020 from UFPR and obtained a Licentiate degree in Geography in 2023 from Universidade Cruzeiro do Sul. Iago also holds a Master’s degree in Oceanography from UFSC, where he was a FAPESC Fellow, conducting research related to Coastal Management. Additionally, he is pursuing a Bachelor’s degree in Law at UNISUL, currently in his 9th semester, with an expected graduation in 2024.

Skills and Expertise

Prof. Iago possesses a diverse skill set that includes geographical data analysis, utilizing GIS tools like ArcGIS, QGIS, and Google Earth Pro. He is diligent and disciplined in achieving work goals and is adept at analyzing legal, social, economic, and environmental information. His expertise extends to integrated information management, project execution, and data management using various digital tools.

Software Proficiency

Prof. Iago is proficient in several software applications, including ArcGIS, QGIS, Google Earth Pro, Google Earth Engine, MatLab, RStudio, and Ocean Data View. He also has experience with the Microsoft Office Suite and tools for video editing and graphic design.

Professional Experience

Currently, Prof. Iago is a Professor of Geography in Sombrio, Santa Catarina, where he teaches both in-person and remotely, fostering critical geographical skills among students. He monitors student performance and develops teaching plans aligned with educational requirements. Iago has also contributed as a researcher at the UFSC’s Coastal Management Laboratory, where he conducted environmental assessments using GIS tools during his Master’s studies. His early experience includes an internship in Oceanography at UFPR, focusing on environmental sustainability indicators, which led to a publication in the “Revista Costas” of the University of Cádiz, Spain.

Military Experience

In 2012, Prof. Iago completed his mandatory military service as an Aspirant Officer at the Brazilian Army’s Center for the Preparation of Reserve Officers (CPOR) in Porto Alegre. During his service, he excelled in various military competencies, receiving commendations for his leadership and performance in the Cavalry and during the Operation Fibra.

Research and Projects

Prof. Iago’s research contributions include work on environmental management in global surf reserves, which he presented at the XIV ENCOGERCO and co-authored a book chapter on coastal governance. His Master’s dissertation at UFSC focused on the challenges and opportunities in surf reserve management. He also conducted research during his Bachelor’s degree at UFPR, evaluating the certification potential of a surf reserve in Southern Brazil, resulting in a published article in “Revista Costas.”

Publications

Utilização de critérios socioambientais para avaliar o potencial de certificação de uma reserva de surfe no sul do Brasil

Authors: Iago R. Llantada
Journal: Revista Costas
Year: 2021

Assist Prof Dr. Oktay Aksu | Remote Sensing | Best Researcher Award

Posted on 09/08/202409/08/2024 by Computer Vision Awards

Assist Prof Dr. Oktay Aksu is a seasoned expert in Geodesy, Photogrammetry, and Remote Sensing, with extensive experience in both academia and industry. His career spans over four decades, including significant roles in international projects and academic institutions.

Education

Assist Prof Dr. Oktay Aksu holds a Bachelor’s degree in Mapping from MSB Harita Genel Komutanlığı Harita Yüksekokulu (1983), an MSc in Geodesy & Photogrammetry from Istanbul Technical University (1998), and a PhD in Geodesy & Photogrammetry from Istanbul Technical University (2002). His theses focused on aerial triangulation methods and spatial changes due to liquefaction and fault movements.

💼 Professional Experience

Assist Prof Dr. Aksu has served as an Assistant Professor at Okan University since 2014, following a role as a Lecturer there. His professional background includes roles as an Advisor and Project Manager for Pasco Corporation in Indonesia and Saudi Arabia, respectively. Additionally, he has held positions as a Lecturer at MSB Harita Yüksekokulu and as an Engineer Officer at the General Command of Mapping.

Research Interests

Assist Prof Dr. Aksu’s research interests include Photogrammetry, Remote Sensing, and Geographic Information Systems. His work emphasizes innovations in aerial triangulation and spatial analysis methods, and he has a significant track record in managing and contributing to large-scale mapping projects both domestically and internationally.

Publications

SHAP-Driven Explainable Artificial Intelligence Framework for Wildfire Susceptibility Mapping Using MODIS Active Fire Pixels: An In-Depth Interpretation of Contributing Factors in Izmir, Türkiye

Authors: Muzaffer Can Iban, Oktay Aksu
Journal: Remote Sensing
Year: 2024

İstanbul’da Kentsel Dönüşüm Proje Alanları İçin Rezerv Alan Tespiti

Authors: Ayşe Buse Ciliz, Oktay Aksu
Journal: Türkiye Arazi Yönetimi Dergisi
Year: 2023

Valuation Mapping of Rural Areas in Central Turkey: A Model Proposal Case Study

Authors: Oktay Aksu, Agne Karlikanovaite Balikci, Mustafa Kurt
Journal: Preprint
Year: 2023

A Model for Big Spatial Rural Data Infrastructure in Turkey: Sensor-Driven and Integrative Approach

Authors: Muzaffer Can Iban, Oktay Aksu
Journal: Land Use Policy
Year: 2020

Considerations on the Land Management System Approach in Turkey by the Experiences of a Case Study

Authors: Oktay Aksu, Muzaffer Can Iban
Journal: Survey Review
Year: 2019