Reza Hosseini | Remote Sensing | Best Researcher Award

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Mr. Reza Hosseini | Remote Sensing | Best Researcher Award

Assistant Professor at Tarbiat Modares University, Iran

Summary:

Reza Hosseini is a geospatial scientist and GIS developer with extensive experience in applying GIS and WebGIS technologies in transportation and urban planning. With a focus on open geospatial data and GeoAI, his work addresses both practical and theoretical challenges in routing, navigation, and environmental sustainability. His research on urban mobility has been recognized in the geospatial community, and his ongoing projects contribute to advancements in GIS technology and urban accessibility frameworks.

Professional Profile:

👩‍🎓Education:

Mr. Reza Hosseini earned his M.Sc. in Remote Sensing and GIS from Tarbiat Modares University in Tehran, Iran, in 2014, where he studied under the supervision of Prof. Abbas Alimohammadi and co-advisor Prof. Seyedehsan Seyedabrishami, graduating with an overall GPA of 17.08/20. His coursework included topics such as Earth Digital Models, Thermal Remote Sensing, and Advanced GIS, demonstrating his comprehensive grounding in geospatial science. Prior to his master’s, Mr. Hosseini completed his B.Sc. in Geography-Urban Planning at Ferdowsi University of Mashhad, where he maintained a GPA of 15.56/20, marking his entry into the field of geographic information systems (GIS).

🏢 Professional Experience:

Mr. Hosseini has built a strong career as a GIS and WebGIS specialist, with a current position as a WebGIS Developer at Iranab Consulting Engineers in Tehran since 2022. He also served as a Research Assistant at York University in Canada, where he contributed to projects involving urban accessibility and GIS-based mobility solutions. His previous roles include GIS Analyst positions at Nika Rayan Pouya Engineers Company and Ario Sazeh Shegarf Company in Iran, where he honed his skills in spatial data analysis and urban planning support.

Research Interests:

Mr. Hosseini’s research interests focus on Geographic Information Systems (GIS) with specializations in Routing & Navigation, GeoAI in Transportation, and Geospatial Data Science. His work extends to Open-Source GIS Development, Open Geospatial Data, and the application of GIS in transportation planning. His research emphasizes leveraging GIS and geospatial data for sustainable urban mobility, enhanced navigation systems, and open-source GIS frameworks for improved accessibility.

Author Metrics:

Mr. Hosseini has authored several notable publications, including journal articles in Annals of GIS, Computers, Environment and Urban Systems, and ISPRS International Journal of Geo-Information. His work spans topics from data performance analysis in navigation applications to specialized road datasets for pedestrian navigation. Additionally, he has co-authored two books on web-based spatial decision support systems and web GIS applications in transportation. His research and projects have contributed significantly to the development of sustainable GIS solutions and geospatial analytics in the transportation sector.

Top Noted Publication:

  • Title: An efficient method for isolation of murine bone marrow mesenchymal stem cells
    Authors: R. Nadri, S. Soleimani, R. Haji Hosseini, M. Massumi, A. Atashi, …
    Journal: Cells
    Volume: 51
    Pages: 723
    Citations: 260
    Year: 2007
  • Title: An update on human papilloma virus vaccines: history, types, protection, and efficacy
    Authors: Z. Yousefi, H. Aria, F. Ghaedrahmati, T. Bakhtiari, M. Azizi, R. Bastan, …
    Journal: Frontiers in Immunology
    Volume: 12
    Article Number: 805695
    Citations: 120
    Year: 2022
  • Title: Association between hypoadiponectinemia and low serum concentrations of calcium and vitamin D in women with polycystic ovary syndrome
    Authors: S. Mazloomi, F. Sharifi, R. Hajihosseini, S. Kalantari, S. Mazloomzadeh
    Journal: International Scholarly Research Notices
    Year: 2012
    Article Number: 949427
    Citations: 100
  • Title: Suitable conditions for liquid-phase microextraction using solidification of a floating drop for extraction of fat-soluble vitamins established using an orthogonal array …
    Authors: H.R. Sobhi, Y. Yamini, A. Esrafili, R.H.H.B. Abadi
    Journal: Journal of Chromatography A
    Volume: 1196
    Pages: 28-32
    Citations: 86
    Year: 2008
  • Title: Extraction and determination of trace amounts of chlorpromazine in biological fluids using hollow fiber liquid phase microextraction followed by high-performance liquid …
    Authors: H.R. Sobhi, Y. Yamini, R.H.H.B. Abadi
    Journal: Journal of Pharmaceutical and Biomedical Analysis
    Volume: 45
    Issue: 5
    Pages: 769-774
    Citations: 81
    Year: 2007

Conclusion:

Mr. Reza Hosseini is a highly qualified candidate for the Best Researcher Award due to his expertise in GIS and geospatial science, strong educational background, diverse professional experience, and contributions to urban mobility research. His notable publications highlight the significance of his work in advancing GIS technologies and addressing challenges in transportation planning. By fostering interdisciplinary collaborations, expanding research outreach, and developing open-source applications, Mr. Hosseini can further amplify his contributions to the field. His dedication to enhancing urban accessibility and sustainability makes him a deserving candidate for this prestigious award.

 

 

Hasmukh Varchand | Remote Sensing | Best Researcher Award

Posted on by Best Paper 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

👩‍🎓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:  

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