Raihan Riaz | Geography and Environment | Best Researcher Award

Mr. Raihan Riaz | Geography and Environment | Best Researcher Award

Research Associate at Jagannath University, Bangladesh

Summary:

Mr. Raihan Riaz is an emerging researcher in the field of Geography & Environment with a focus on climate change-induced migration, natural hazards, and disaster risk management in Bangladesh. He completed his MSc from Jagannath University with distinction, achieving the first position in his thesis group. With extensive research experience, Mr. Riaz has contributed to several notable projects on riverbank erosion, forced migration, and environmental hazards across various regions of Bangladesh. His skill set includes GIS-based modeling, statistical analysis, and field data collection, and he has published in several reputable journals. He is also actively involved in academia and environmental awareness initiatives, holding leadership roles in student organizations.

Professional Profile:

πŸ‘©β€πŸŽ“Education:

  • Master of Science (MSc) in Geography & Environment, Jagannath University, Dhaka, Bangladesh (2022; Exam held 2024)
    GPA: 3.99/4.00 | 1st Position in Thesis Group
  • Bachelor of Science (BSc) in Geography & Environment, Jagannath University, Dhaka, Bangladesh (2021; Exam held 2023)
    CGPA: 3.84/4.00

🏒 Professional Experience:

  • Research Assistant (RA), Dr. Md. Mohiuddin (2024-25)
    Project: Determining the Factors of Migration during Flash Flood in Haor Area, Northeastern Bangladesh
  • Research Fellow, Ministry of Science & Technology, Dhaka (2023-24)
  • Research Assistant (RA), University Grants Commission of Bangladesh
    Projects: Consequences of River Bank Erosion Induced Forced Migration at Char Land in Bangladesh (2019-2020), Climate Change Induced Forced Migration in Southeast Bangladesh (2021-22)
  • Assistant Project Manager (APM), Asiatic Society of Bangladesh (2020-21)
    Project: Perceptions Towards Climate Change-Induced Hazards and Resettlement Preferences in Coastal Bangladesh
  • Data Enumerator, Worked on multiple surveys, including the baseline survey of Rohingya refugee impact, livelihood status of the Dublarchar fisherman community, and land use assessment in Sylhet and Sunamganj districts.

Research Interests:

Mr. Raihan Riaz’s research interests include climate change impacts, forced migration, natural hazards, and geospatial modeling. He has a particular focus on climate-induced migration, disaster risk reduction, and geographic information systems (GIS)-based modeling for environmental planning and hazard susceptibility mapping. His work often intersects with understanding the socio-economic effects of environmental changes and the resilience of affected populations.

Author Metrics:

Publications:

  • Neegar Sultana and Raihan Riaz., Knowledge, Attitude and Practices towards Flash Flood in Sunamganj District, Bangladesh, Natural Hazards, Springer [1st review complete]
  • Raihan Riaz and Neegar Sultana., Location-specific Heterogeneity in Landslide Resilience Index: A Household-based Comparative Study in Rangamati Hill District, Bangladesh, Ecological Indicators, Elsevier [Under Review]
  • Raihan Riaz and Mohiuddin, Md., Application of GIS-Based Multi-Criteria Decision Analysis of Hydro-Geomorphological Factors for Flash Flood Susceptibility Mapping in Bangladesh, Water Cycle, Elsevier [Accepted]
  • Neegar Sultana, Md. Farhad Hossain, Raihan Riaz., Landslide Risk Assessment in Bandarban Hill District of Bangladesh Using GIS and RS Techniques, Physical Geography, Taylor and Francis [1st Review Complete]
  • Raihan Riaz and N.M. Refat Nasher., Urban Expansion and Land Use Changes of a Fringe Area in the Southern Part of Dhaka City (Bangladesh) using Geo-Spatial Techniques, Journal of Geophysics, 27(6), 462-475 (2023)

Awards and Achievements

  • National Science & Technology Award for MSc Thesis (2023)
  • Dean’s List Scholarship for maintaining a CGPA above 3.75/4.00
  • University Merit Scholarship (2018-2021)
  • Mr. Riaz continues to make significant contributions to the study of environmental challenges and migration in Bangladesh, with several promising research outputs under review and in press.

Top Noted Publication:

Application of GIS-Based Multi-Criteria Decision Analysis of Hydro-Geomorphological Factors for Flash Flood Susceptibility Mapping in Bangladesh

  • Authors: R. Riaz, M. Mohiuddin
  • Journal: Water Cycle
  • Year: 2024
  • Summary: This paper uses GIS-based Multi-Criteria Decision Analysis (MCDA) to evaluate hydro-geomorphological factors and their contributions to flash flood susceptibility in Bangladesh. It emphasizes the integration of spatial data and analytical models to improve hazard mapping and risk management strategies for flood-prone areas.
  • Status: Accepted

Building Responsiveness through Community-based Adaptation to Climate Change: Lesson Learned from Coastal Zone of Bangladesh

  • Author: R. Riaz
  • Conference: BCSIR Congress-2023
  • Volume: 50 (1), pp. 367-371
  • Year: 2024
  • Summary: This conference paper highlights community-based adaptation strategies to address the adverse impacts of climate change in Bangladesh’s coastal zones. It discusses the lessons learned from local initiatives that enhance resilience and responsiveness among vulnerable communities.
  • Status: Presented at BCSIR Congress

Assessment of Riverbank Erosion-Deposition Trend Using Geospatial Techniques in the Padma River, Bangladesh

  • Author: R. Riaz
  • Conference: 9th International Conference on Water and Flood Management (ICWFM)
  • Volume: 2
  • Year: 2023
  • Summary: This paper presents a geospatial analysis of riverbank erosion and deposition trends along the Padma River. By applying remote sensing and GIS tools, it offers an understanding of the river’s morphological changes over time, providing insights into erosion mitigation and river management.
  • Status: Presented at ICWFM 2023

Urban Expansion and Land Use Changes of a Fringe Area in the Southern Part of Dhaka City (Bangladesh) Using Geo-Spatial Techniques

  • Authors: R. Riaz, N.M.R. Nasher
  • Journal: The Journal of Indian Geophysical Union
  • Volume: 27 (6), pp. 462-475
  • Year: 2023
  • Summary: This research explores urban expansion and land use dynamics in the southern fringes of Dhaka city. Utilizing geospatial techniques, the paper analyzes land use changes over time, highlighting the environmental and planning challenges associated with rapid urbanization.
  • Status: Published

Conclusion:

Mr. Raihan Riaz is a strong candidate for the Best Researcher Award, especially considering his early career stage and already substantial contributions to environmental and disaster risk research. His focus on climate change-induced migration and disaster risk reduction in Bangladesh addresses pressing local and global issues, making his work highly relevant and impactful. With his technical expertise, growing publication record, and recognition through national awards, Mr. Riaz is well-positioned for further success.

To maximize his candidacy for this award, Mr. Riaz could continue to expand his publication portfolio, seek international collaborations, and enhance the global applicability of his research. Given his strong foundation and ongoing projects, he holds significant potential to be recognized as an outstanding researcher in his field.

 

 

Erica von Essen | Geography | Best Researcher Award

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:

πŸ‘©β€πŸŽ“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

🏒 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

Mr. Hanqing Bao, Land cover, Best Researcher Award

Hanqing Bao at Ludwig-Maximilians-UniversitΓ€t, Germany

Summary:

Mr. Hanqing Bao is an accomplished researcher and Ph.D. candidate specializing in Physical Geography and Environmental Remote Sensing at Ludwig-Maximilians-UniversitΓ€t (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:

πŸ‘©β€πŸŽ“Education:

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

  • Ludwig-Maximilians-UniversitΓ€t (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-UniversitΓ€t, 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:Β 

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: SO–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

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:

πŸ‘©β€πŸŽ“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:Β 

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

  • Authors: K Muniraj, CJ Jesudhas, A Chinnasamy
  • Published in: Proceedings of the National Academy of Sciences, India Section A: Physical …, 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 COVID…”

  • 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, Dindigul…”

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

Bonggeun Song | Geo-Spatial Analysis | Best Researcher Award

Dr. Bonggeun Song, Geo-Spatial Analysis, Best Researcher Award

Doctorate at Changwon National University, South Korea

Summary:

Dr. Bonggeun Song is an esteemed researcher and academic with a background in environmental engineering and urban planning. He obtained his Ph.D. from the Department of Environmental Engineering at Changwon National University, where he focused on developing methodologies for environmental planning to mitigate climate change and heat island effects in urban areas. His research also extends to disaster management and resilience, exploring strategies to enhance community preparedness and response.

With extensive professional experience, Dr. Song has served in various capacities, including as a Research Professor at the Institute of Industrial Technology in Changwon National University and as a Principle Researcher at the National Disaster Management Research Institute in Ulsan, Korea. He has also contributed significantly as a lecturer and researcher in several prestigious institutions in Korea.

Professional Profile:

πŸ‘©β€πŸŽ“Education:

Ph.D. (2011~2014) – Department of Environmental Engineering, Changwon National University Dissertation Title: “Development of Environmental Planning Methodology for Mitigation of Climate Change and Heat Island Effect in Urban Areas”

M.A. (2009~2011) – Department of Environmental Engineering, Changwon National University Thesis Title: “Development of Integrated Spatial Environmental Assessment and Planning Methods for Improving the Urban Climate and Air Quality”

B.A. (2002~2009) – Department of Environmental Engineering, Changwon National University

Professional Experience:

Dr. Bonggeun Song has a diverse professional experience in research, academia, and industry:

He served as a Research Professor at the Institute of Industrial Technology in Changwon National University since December 2018, where he contributed significantly to various research projects.

Prior to this, he held the position of Principal Researcher at the National Disaster Management Research Institute in Ulsan, Korea, from March 2016 to December 2018. Here, he played a crucial role in conducting research related to disaster management and resilience.

Before joining the National Disaster Management Research Institute, Dr. Song worked as a Researcher at the Changwon Research Institute in Changwon, Korea, from July 2015 to March 2016. His responsibilities included conducting research in the field of environmental engineering.

Earlier in his career, he worked as a Researcher at the National Institute of Ecology in Seocheon, Korea, from September 2014 to June 2015, where he focused on environmental research and conservation efforts.

Dr. Song also served as a Postdoctoral Research Fellow at the Institute of Industrial Technology in Changwon National University from February to August 2014, contributing to interdisciplinary research projects.

Additionally, he gained teaching experience as a Lecturer at the Department of Environmental Engineering, Changwon National University, from August 2012 to June 2013, where he imparted knowledge to students on environmental engineering concepts.

Furthermore, Dr. Song started his academic journey as a Teaching Assistant at the Department of Environmental Engineering, Changwon National University, from August 2010 to December 2010, where he assisted in teaching and research activities.

Research Interest:

Climate Change Mitigation: Investigating strategies and methodologies for mitigating the effects of climate change, including the reduction of greenhouse gas emissions and adaptation measures.

Urban Climate and Air Quality Improvement: Developing integrated spatial assessment and planning methods aimed at improving urban climate conditions and air quality in urban areas.

Disaster Management and Resilience: Exploring approaches to enhance disaster preparedness, response, and recovery, with a focus on building resilience in communities and infrastructure systems.

Environmental Planning and Assessment: Developing methodologies and tools for environmental planning and assessment to address various environmental challenges, such as heat island effects and air pollution.

Sustainable Development: Studying solutions and policies to promote sustainable development, balancing environmental conservation with socioeconomic growth and urbanization.

Industrial Technology and Innovation: Investigating the application of advanced technologies and innovative solutions in industrial processes to minimize environmental impacts and enhance sustainability.

Publications Top Noted:Β 

Title: Detection of aquatic plants using multispectral UAV imagery and vegetation index

  • Authors: B. Song, K. Park
  • Journal: Remote Sensing
  • Volume: 12
  • Issue: 3
  • Pages: 387
  • Year: 2020
  • Citations: 60

Title: Contribution of greening and high-albedo coatings to improvements in the thermal environment in complex urban areas

  • Authors: B. Song, K. Park
  • Journal: Advances in Meteorology
  • Year: 2015
  • Citations: 41

Title: Analysis of heat island characteristics considering urban space at nighttime

  • Authors: B.G. Song, K.H. Park
  • Journal: Journal of the Korean Association of Geographic Information Studies
  • Volume: 15
  • Issue: 1
  • Pages: 39
  • Year: 2012

Title: Verification of accuracy of unmanned aerial vehicle (UAV) land surface temperature images using in-situ data

  • Authors: B. Song, K. Park
  • Journal: Remote Sensing
  • Volume: 12
  • Issue: 2
  • Pages: 288
  • Year: 2020
  • Citations: 36

Title: Validation of ENVI-met model with in situ measurements considering spatial characteristics of land use types

  • Authors: B.G. Song, K.H. Park, S.G. Jung
  • Journal: Journal of the Korean Association of Geographic Information Studies
  • Volume: 17
  • Issue: 2
  • Pages: 35
  • Year: 2014

Hasmukh Varchand | Remote Sensing | Best Researcher Award

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

πŸ‘©β€πŸŽ“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: Β 

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

 

 

Gebiaw T. Ayele | Land use change impact study

Dr. Gebiaw T. Ayele: Leading Researcher in Land use change impact study

πŸŽ‰ Congratulations Dr. Gebiaw T. Ayele on Winning the Best Paper Award! πŸ† Your dedication to research, mentorship, and collaboration with international teams is truly commendable. This award is a testament to your outstanding work and the impact it has on the broader community.

Professional Profile:

πŸ“š Professional Summary:

  • PhD in Hydrology from Griffith University, Australia.
  • MSc in Hydraulic and Water Resources; BSc in Water Resources.
  • Certificate in Integrated Decision Support System; Best Practice Drinking Water Quality Management; Manage Conflict through Negotiation (Prevention/De-Escalation); Construction Contract Management.
  • Expertise in catchment erosion, sediment and pollutant modeling for policy decisions.
  • Proficient in hydraulic, hydrodynamic, water quality, and sediment transport models.
  • Skilled in farm to basin-scale simulation models (SWAT) integrating climate, soil, land use, and landscape data.
  • Extensive experience in GIS and remote sensing (ERDAS, ENVI) for water resources applications.
  • Coding capability for big data management on HPC clusters.
  • Recognized in the “talent pool” at the NSW Department of Planning and Environment.
  • Currently a ‘Water Quality Processes Officer’ monitoring 32 water treatment plants and regulated towns.
  • 15+ years of experience as a hydrologist in industry, teaching, research, and consultancy in Africa, Australia, and New Zealand.
  • Recognized by Australian Freshwater Sciences Society; 2021 INTECOL International Wetlands Conference.
  • Received over 10 grants; 45+ peer-reviewed publications.

πŸŽ“ Education:

  • PhD in Hydrology and Water Resources, Griffith University, Australia (2023).
  • MSc in Hydraulics and Water Resources, Arba Minch University, Ethiopia (2012).
  • BSc in Water Resources Engineering, Bahir Dar Institute of Technology, Ethiopia (2007).

🏒 Professional Experience:

  • Water Quality Processes Officer, Victoria, Australia (May 2023-present).
  • Doctoral Researcher, Griffith University, Australia (Feb 2019–April 2023).
  • Teaching and Research, Australian Rivers Institute Griffith University, Australia (Dec 2016–April 2023).
  • Consultant, University Lecturer, and Researcher, Blue Nile Water Institute and Bahir Dar University, Ethiopia (Nov 2012–Dec 2015).
  • Research Assistant, International Water Management Institute (IWMI), East Africa, Addis Ababa, Ethiopia (Apr 2011–Oct 2012).
  • Research Assistant, Horn of Africa Regional Environment Centre and Network – Demand Driven Action Research Program (HoARECN-DDAR) (Apr 2010–Jun 2012).
  • Instructor and Department Head, Department of Rural Water Supply and Sanitation, Bahir Dar Polytechnic College, Ethiopia (Oct 2007–Oct 2008).

🌐 Professional Memberships:

  • International Society of Limnology (SIL).
  • New Zealand Freshwater Sciences Society (NZFSS).
  • Australian Freshwater Sciences Society (AFSS).
  • National Wetland Trust of New Zealand (NWT).
  • American Geophysical Union (AGU).
  • New Zealand Lakes Water Quality Society (LWQS).
  • International Association of Sedimentologists (IAS).

πŸ† Awards and Grants:

  • Australian Rivers Institute International Conference Travel Grant 2022.
  • AFSS Bill Williams Scholarship 2022.
  • Griffith University IEIS Grant 2022.
  • NZFSS V.H. Jolly Award 2022.
  • Multiple research and publication grants 2022, 2023.
  • Griffith University GUIPRS 2019.
  • University of Strathclyde Excellence Scholarship Award 2018.
  • Blue Nile Water Institute 2014.
  • IWMI-CGIAR-CCAFS 2012.
  • HoARECN 2011.
  • Arba Minch University Graduate Scholarship 2010.

πŸ“ Selected Conference Presentations and Invited Talks:

  • Reconstructing 1000 years of climate data for lake modeling (Nov 2022).
  • Modeling the impact of forestry on water quality for Lake Okareka (Nov 2022).
  • Non-stationarity of streamflow and nutrient loads in a temperate catchment (Oct 2021).

πŸ“– Publications Top Noted:

  • Non-stationarity of streamflow and nutrient loads in a temperate catchment (Environmental Monitoring and Assessment, 2023).
  • Land use and climate change effects on streamflow and nutrient loads (Land, 2023).
  • Relationship of attributes of soil and topography with land cover change in Ethiopia (Remote Sensing, 2022).
  • Sediment yield and reservoir sedimentation in dynamic watersheds (Water, 2021).
  • Terrain effects on spatial variability of soil properties (Soil Systems, 2019).
  • Time series land cover mapping in northern Ethiopia (Air, Soil and Water Research, 2018).
  • Streamflow and sediment yield prediction in the Upper Blue Nile River Basin (Water, 2017).
  • Spatio-temporal analysis of water storage variation in East Africa lake basins (Journal of Hydrology, 2022).

The paper “Streamflow and Sediment Yield Prediction for Watershed Prioritization in the Upper Blue Nile River Basin, Ethiopia” by Dr. Gebiaw T. Ayele and collaborators focuses on predicting streamflow and sediment yield to aid in prioritizing watersheds in the Upper Blue Nile River Basin, Ethiopia. Here’s a breakdown of the important content:

🌍 Context:

  • Location: Upper Blue Nile River Basin, Ethiopia.
  • Objective: Prioritize watersheds based on streamflow and sediment yield predictions.

πŸ“Š Methodology:

  • Models Used: The study likely employed hydrological models for prediction.
  • Data Sources: Climate, land use, soil, and landscape data were probably integrated into the models.
  • Spatial Scale: Assessment at the watershed level.

🚰 Key Findings:

  • Streamflow Prediction: Insights into the expected water flow in the Upper Blue Nile River Basin.
  • Sediment Yield Prediction: Understanding the likely sediment transport patterns.

πŸ—ΊοΈ Application:

  • Watershed Prioritization: The predictions contribute to identifying priority areas for conservation or management interventions.

πŸ€” Significance:

  • Resource Management: Helps in planning and managing water resources efficiently.
  • Environmental Conservation: Supports initiatives for soil and water conservation.

🌐 Contextualization:

  • Regional Implications: Findings might be relevant for broader regional water resource management strategies.
  • Climate Resilience: Insight into streamflow is crucial for addressing climate resilience in the region.

πŸ“ˆ Scientific Contribution:

  • Model Validation: If applicable, the study likely validated the predictive models used.
  • Advance in Knowledge: Contributes to the scientific understanding of hydrological processes in the Upper Blue Nile River Basin.

πŸ” Further Reading:

  • Researchers, policymakers, and practitioners in hydrology and water resource management would find value in the detailed methodology and findings.