Erica von Essen | Geography | Best Researcher Award

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Assoc Prof Dr. Erica von Essen | Geography | Best Researcher Award

Associate Professor at Stockholm Resilience Center, Sweden

Summary:

Dr. Erica von Essen is an Associate Professor in the Department of Social Anthropology at Stockholm University and a researcher at the Stockholm Resilience Center. With a robust background in environmental communication and sustainable development, she has made significant contributions to understanding the dynamics between society and the environment. Dr. von Essen has received numerous accolades for her pedagogical work, including the 2017 Pedagogical Prize from the Swedish University of Agricultural Sciences. Her extensive teaching experience spans various universities and covers topics such as human dimensions of wildlife, climate change leadership, and research ethics.

Professional Profile:

šŸ‘©ā€šŸŽ“Education:

  • PhD in Environmental Communication
    Swedish University of Agricultural Sciences (SLU), 2016
    Supervisor: Hans Peter Hansen, Aarhus University
  • Master’s in Sustainable Development
    Department of Earth Sciences, Uppsala University, Sweden, 2012
  • Bachelor in Social Sciences (Social Geography, Anthropology)
    Uppsala University, Sweden, 2010

šŸ¢ Professional Experience:

Dr. Erica von Essen has held several notable positions in academia, focusing on environmental communication, sustainability, and social anthropology. From 2021 to 2023, she served as an Associate Professor in the Department of Social Anthropology at Stockholm University, where she specialized in the human dimensions of wildlife and human-animal studies. Since 2023, Dr. von Essen has been a researcher at the Stockholm Resilience Center, delving into resilience and sustainability research. Concurrently, she has been involved in applied ecology research at the Faculty of Applied Ecology, Agricultural Sciences and Biotechnology, Inland Norway University of Applied Sciences. Prior to these roles, she worked as a researcher at the Norwegian Institute for Nature Research (NINA) from 2020 to 2021, focusing on nature conservation and environmental communication. Her earlier roles include postdoctoral and research positions at the Environmental Communication Division of SLU, where she contributed to environmental communication and public engagement strategies. In addition to her research, Dr. von Essen has extensive teaching experience, having lectured on various subjects such as human dimensions of wildlife, climate change leadership, and research methodology across several institutions. She has supervised 23 master’s theses and 8 bachelor’s theses, guiding students in fields like environmental communication, sustainable development, and social anthropology.

Research Interests:

Dr. von Essen’s research interests encompass environmental communication, sustainability, human-animal interactions, and resilience studies. Her work focuses on how communication strategies can enhance public engagement with environmental issues and how societal and ecological systems interact.

Top Noted Publication:

Hanqing Bao | Land cover | Best Researcher Award

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Mr. Hanqing Bao, Land cover, Best Researcher Award

Hanqing Bao at Ludwig-Maximilians-UniversitƤt, Germany

Summary:

Mr. Hanqing Bao is an accomplished researcher and Ph.D. candidate specializing in Physical Geography and Environmental Remote Sensing at Ludwig-Maximilians-UniversitƤt (Munich). With extensive experience in remote sensing and deep learning, his work focuses on the intelligent processing and analysis of remote sensing images to enhance urban planning and environmental monitoring.

Professional Profile:

šŸ‘©ā€šŸŽ“Education:

Ph.D. Candidate in Physical Geography and Environmental Remote Sensing

  • Ludwig-Maximilians-UniversitƤt (Munich) (2020 – Present)
  • Research Team: Physical Geography and Environmental Remote Sensing
  • Supervisor: Prof. Dr. Lukas Lehnert

Master’s Degree in Surveying Science and Technology (Remote Sensing)

  • China University of Geosciences (Beijing) (2017 – 2020)
  • Research Team: Intelligent Remote Sensing Image Processing and Analysis
  • Supervisor: Dr. Dongping Ming

Bachelor’s Degree in Surveying and Mapping Engineering

  • Lanzhou Jiaotong University (2013 – 2017)

Professional Experience:

As a Ph.D. candidate at Ludwig-Maximilians-UniversitƤt, Mr. Bao has been integral to research initiatives focusing on the application of deep learning in remote sensing. His research encompasses the development of advanced techniques for land use change detection, high-resolution image processing, and the exploration of urban spatial structures. His work leverages the capabilities of convolutional neural networks (CNN) and graph convolutional networks (GCN) to improve the accuracy and efficiency of remote sensing data analysis.

Research Interest:

Mr. Bao’s research interests lie at the intersection of remote sensing, deep learning, and urban planning. Key areas of focus include:

  • Land Use Change Detection: Utilizing Siamese Networks to detect changes in land use over time, aiding in sustainable urban development.
  • High-Resolution Image Processing: Applying deep learning techniques to process and analyze very high-resolution remote sensing images.
  • Scale Effect Mitigation: Developing methods to reduce the impact of scale effect on remote sensing image information extraction through stratification and spatial statistics.
  • Intelligent Image Understanding: Segmentation, classification, and semantic recognition of remote sensing images to extract meaningful information about natural and built environments.

Mr. Bao’s contributions to the field of remote sensing are aimed at enhancing our understanding of urban environments and supporting effective environmental management practices.

Publications Top Noted:Ā 

Title: DFCNN-based semantic recognition of urban functional zones by integrating remote sensing data and POI data

  • Authors: Hanqing Bao, Dongping Ming, Yuan Guo, et al.
  • Journal: Remote Sensing
  • Year: 2020
  • Volume: 12
  • Issue: 7

Title: SOā€“CNN based urban functional zone fine division with VHR remote sensing image

  • Authors: Wenchao Zhou, Dongping Ming, Xudong Lv, et al.
  • Journal: Remote Sensing of Environment
  • Year: 2020
  • Volume: 236

Title: Farmland extraction from high spatial resolution remote sensing images based on stratified scale pre-estimation

  • Authors: Ling Xu, Dongping Ming, Wenchao Zhou, et al.
  • Journal: Remote Sensing
  • Year: 2019
  • Volume: 11
  • Issue: 2

Title: A new method for region-based majority voting CNNs for very high resolution image classification

  • Authors: Xudong Lv, Dongping Ming, Tian Lu, et al.
  • Journal: Remote Sensing
  • Year: 2018
  • Volume: 10
  • Issue: 12

Title: Stratified Object-Oriented Image Classification Based on Remote Sensing Image Scene Division

  • Authors: Wenchao Zhou, Dongping Ming, Ling Xu, et al.
  • Journal: Journal of Spectroscopy
  • Year: 2018
  • Volume: 2018

Colins Johnny Jesudhas | Geoinformatics | Best Researcher Award

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Dr. Colins Johnny Jesudhas, Geoinformatics, Best Researcher Award

Professor at University college of Engineering Nagercoil, India

Summary:

Dr. Colins Johnny Jesudhas is a highly skilled academic and researcher specializing in environmental science, water resources, and geoinformatics. He earned his Ph.D. in Environment & Water Resources from Anna University, Chennai, where he also completed his Master of Engineering in Geoinformatics and Bachelor of Engineering in Civil Engineering. With over 16 years of professional experience, Dr. Jesudhas has made significant contributions to academia, industry, and research. Currently serving as an Assistant Professor at Anna University, Chennai, he is actively involved in teaching, research, and administrative responsibilities. Dr. Jesudhas’s research interests encompass hydrological modeling, remote sensing applications, GIS technology, climate change impacts, coastal land subsidence, and hydroinformatics. He has supervised numerous Ph.D. and M.Tech research projects and has published extensively in reputable journals. Dr. Jesudhas’s multidisciplinary expertise and dedication to advancing knowledge and technology in environmental science and geoinformatics make him a valuable asset to the academic and research community.

Professional Profile:

šŸ‘©ā€šŸŽ“Education:

Ph.D. in Environment & Water Resources

  • Institution: Anna University, Chennai, Tamil Nadu, India
  • Year: 2011-2019

Master of Engineering in Geoinformatics

  • Institution: College of Engineering, Anna University, Chennai, Tamil Nadu, India
  • Year: 2005-2007

Bachelor of Engineering in Civil Engineering

  • Institution: Mohammed Sathak Engineering College, Kilakarai, Tamil Nadu, India
  • Year: 2001-2005

Master of Business Administration

  • Institution: Madurai Kamaraj University, Madurai, Tamil Nadu, India
  • Year: 2007-2009

Professional Experience:

Dr. Colins Johnny Jesudhas possesses over 16 years of professional experience, marked by significant contributions to academia and industry. Currently serving as an Assistant Professor at Anna University, Chennai, he has demonstrated expertise in teaching, research, and administrative roles. Throughout his tenure, Dr. Jesudhas has actively engaged in mentoring undergraduate and postgraduate students, imparting knowledge in geoinformatics, remote sensing, and GIS. His dedication to education extends to supervising Ph.D. and M.Tech research projects, focusing on diverse topics such as hydrological modeling, coastal land subsidence assessment, and remote sensing applications. In addition to his academic pursuits, Dr. Jesudhas has gained valuable industry experience as a System Engineer at Tata Consultancy Services, Chennai, where he contributed to application development, quality assurance, and information security management. Dr. Jesudhas’s multifaceted professional background, spanning academia and industry, reflects his commitment to advancing research, education, and technology development in environmental science and geoinformatics.

Research Interest:

Hydrological Modeling: Dr. Jesudhas is interested in developing integrated hydrological models to better understand and manage water resources. His research focuses on modeling the complex interactions between surface water, groundwater, and atmospheric processes to assess water availability, quality, and sustainability.

Remote Sensing Applications: He explores the use of remote sensing techniques and satellite imagery for environmental monitoring, land cover classification, and natural resource management. His research involves analyzing remote sensing data to study changes in land use, vegetation dynamics, and environmental variables over time.

Geographic Information Systems (GIS): Dr. Jesudhas investigates the application of GIS technology for spatial analysis, mapping, and decision-making in environmental planning and management. He explores innovative GIS-based approaches to address environmental challenges, such as habitat conservation, urbanization, and disaster risk assessment.

Climate Change Impacts: He studies the impacts of climate change on water resources, ecosystems, and human communities. His research aims to assess vulnerability, adaptation strategies, and mitigation measures to address the effects of climate change on environmental systems.

Coastal Land Subsidence: Dr. Jesudhas focuses on assessing coastal land subsidence using remote sensing techniques and geospatial analysis. His research aims to understand the drivers of land subsidence, such as groundwater extraction, sea level rise, and geological processes, and their implications for coastal management and adaptation.

Hydroinformatics: He explores the integration of information technology, hydrology, and water resources management to develop decision support systems for water resource planning, operation, and optimization. His research involves the development of software tools, algorithms, and models to enhance water management practices and resilience to hydrological extremes.

Publications Top Noted:Ā 

“Delineating the groundwater potential zone in Tirunelveli Taluk, South Tamil Nadu, India, using remote sensing, geographical information system (GIS) and analytic hierarchyā€¦”

  • Authors: K Muniraj, CJ Jesudhas, A Chinnasamy
  • Published in: Proceedings of the National Academy of Sciences, India Section A: Physical ā€¦, Volume 31, 2020

“Evaluating the effectiveness of emissions reduction measures and ambient air quality variability through ground-based and Sentinel-5P observations under the auspices of COVIDā€¦”

  • Authors: K Muniraj, B Panneerselvam, S Devaraj, CJ Jesudhas, K Sudalaimuthu
  • Published in: International Journal of Environmental Analytical Chemistry, Volume 103, Issue 13, Pages 3109-3120, 2023

“MODFLOW based groundwater budgeting using GIS: a case study from Tirunelveli Taluk, Tirunelveli District, Tamil Nadu, India”

  • Authors: M Kirubakaran, J Colins Johnny, S Samson
  • Published in: Journal of the Indian Society of Remote Sensing, Volume 46, Issue 5, Pages 783-792, 2018

“Assessment of vulnerability in the aquifers of rapidly growing sub-urban: a case study with special reference to land use”

  • Authors: CJ Jesudhas, A Chinnasamy, K Muniraj, A Sundaram
  • Published in: Arabian Journal of Geosciences, Volume 14, Issue 1, Page 60, 2021

“GIS-based assessment of groundwater quality and its suitability for drinking and irrigation purpose in a hard rock terrain: A case study in the upper Kodaganar basin, Dindigulā€¦”

  • Authors: JC Johnny, MC Sashikkumar, M Kirubakaran, LM Mathi
  • Published in: Desalination and Water Treatment, Volume 102, Pages 49-60, 2018

Hasmukh Varchand | Remote Sensing | Best Researcher Award

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Mr. Hasmukh Varchand, Remote Sensing, Best Researcher Award

Doctorate at The Charutar Vidya Mandal University, India

Summary:

Mr. Hasmukh Varchand is a dedicated PhD student at N. V. Patel College of Pure and Applied Sciences, CVM University, specializing in Physics. His research focuses on hyperspectral signal analysis using the radiative transfer approach for airborne and satellite observations. Currently, he is developing algorithms for the detection and estimation of carbon dioxide and methane emissions using remote sensing data. With three years of experience in groundbreaking research, Mr. Varchand has presented his findings at national and international conferences and published in reputable journals. He holds a Master’s degree in Physics from Sardar Patel University and a Bachelor’s degree from Krantiguru Shyamji Krishna Verma Kachchh University. Beyond academia, he actively participates in professional societies like the Indian Society of Remote Sensing and the IEEE Geoscience and Remote Sensing Society.

Professional Profile:

Scopus Profile

Orcid Profile

Google Scholar Profile

šŸ‘©ā€šŸŽ“Education & Qualification:

Mr. Hasmukh Varchand’s educational background is as follows:

Ph.D. in Physics:

  • N. V. Patel College of Pure and Applied Sciences, CVM University (Currently pursuing)

M.Sc. in Physics:

  • Sardar Patel University, 2019

B.Sc. in Physics:

  • Krantiguru Shyamji Krishna Verma Kachchh University, 2017

Professional experience: Ā 

Mr. Hasmukh Varchand brings a wealth of experience in the field of remote sensing and environmental research. With a focus on hyperspectral signals and radiative transfer modeling, he has been actively involved in developing algorithms for detecting and estimating carbon dioxide and methane emissions using airborne and spaceborne satellite data. His collaboration with scientists from the Space Application Centre (SAC) – ISRO has further enhanced his expertise in sensor systems for greenhouse gas detection applications. Hasmukh has presented his groundbreaking research findings at various national and international conferences and has contributed significantly to reputable journals of Elsevier and IEEE. His proactive engagement in professional societies like the Indian Society of Remote Sensing (ISRS) and the IEEE Geoscience and Remote Sensing Society (IEEE-GRS) underscores his commitment to advancing knowledge and fostering connections within the academic community.

Research Interest:

Hyperspectral signal analysis: Studying hyperspectral signals using the radiative transfer approach for airborne and satellite observations.

Theoretical modeling: Developing theoretical models for radiative transfer to better understand and interpret remote sensing data.

Greenhouse gas detection: Investigating algorithms and sensor systems for the detection and estimation of carbon dioxide and methane emissions.

Remote sensing applications: Exploring the application of remote sensing techniques in environmental monitoring and climate change studies.

Collaborative research: Engaging in collaborative research initiatives with experts from the Space Application Centre (SAC) – ISRO and other institutions to advance knowledge in remote sensing and environmental science.

Publication Top Noted:

CO2 concentration retrieval and emission rate estimation over Indian thermal power plants using radiative transfer approach and AVIRIS-NG data

  • Authors: HK Varchand, MR Pandya, JA Dave, PN Parmar, HJ Trivedi, DB Shah, …
  • Journal: Remote Sensing Applications: Society and Environment
  • Volume: 33
  • Year: 2024

Comparative analysis of two parameter-dependent split window algorithms for the land surface temperature retrieval using MODIS TIR observations

  • Authors: JA Dave, MR Pandya, DB Shah, HK VARCHAND, PN Parmar, HJ Trivedi, …
  • Journal: Journal of Agrometeorology
  • Volume: 25
  • Year: 2023

Point Source Carbon Dioxide Emission Monitoring Using Radiative Transfer Simulations and AVIRIS-NG Data

  • Authors: HK Varchand, MR Pandya, JA Dave, PN Parmar, HJ Trivedi
  • Conference: 2022 URSI Regional Conference on Radio Science (USRI-RCRS)
  • Year: 2022

Atmospheric Column Water Vapor Retrieval using Atmospheric Precorrected Differential Absorption Technique from AVIRIS-NG Data

  • Authors: JA Dave, MR Pandya, HK Varchand, PN Parmar, HJ Trivedi, VN Pathak
  • Conference: 2022 URSI Regional Conference on Radio Science (USRI-RCRS)
  • Year: 2022

Heat Wave Study using Satellite LST and Air Temperature Data over Gujarat Region

  • Authors: PN Parmar, MR Pandya, JA Dave, HK Varchand, HJ Trivedi
  • Conference: 2022 URSI Regional Conference on Radio Science (USRI-RCRS)
  • Year: 2022