Reza Hosseini | Remote Sensing | Best Researcher Award

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.

 

 

Anju Asokan | Satellite Imaging | Best Researcher Award

Dr. Anju Asokan | Satellite Imaging | Best Researcher Award

Doctorate at Sri Eshwar College of Engineering, India

Summary:

Dr. Anju Asokan is a dedicated educator and researcher with a Ph.D. in Image Processing from Karunya Institute of Technology and Sciences. With a strong background in VLSI Design and Electronics and Communication Engineering, she has excelled both academically and professionally. Dr. Asokan has received numerous awards for her research contributions and excellence in teaching. Her experience spans academia and industry, where she has held various positions, including Assistant Professor and Senior Engineer. She is actively involved in mentoring students and contributing to the scientific community through her research in image processing, artificial intelligence, and digital signal processing. Dr. Asokan is committed to continuous learning and adding value to the organizations she serves.

Professional Profile:

👩‍🎓Education:

  • Ph.D. in Image Processing
    Karunya Institute of Technology and Sciences, Coimbatore, 2021
    CGPA: 8.77
  • M.Tech in VLSI Design
    Amrita School of Engineering, Coimbatore, 2016
    CGPA: 9.73 (4th Rank)
  • B.Tech in Electronics and Communication Engineering (ECE)
    Toc H Institute of Science and Technology (CUSAT), 2014
    Percentage: 83.7% (Topper ECE)

🏢 Professional Experience:

Dr. Anju Asokan has a diverse background in both academia and industry. Currently serving as an Assistant Professor at Sri Eshwar College of Engineering since June 2022, she excels in teaching and mentoring students in various engineering courses. Prior to this, she was an Assistant Professor at Sri Krishna College of Technology from December 2020 to June 2022, where she guided students in both practical and theoretical aspects of engineering. Her industry experience includes working as a Senior Engineer at Tata Elxsi, Trivandrum, from November 2016 to November 2017, where she gained valuable experience in testing and practical applications of engineering principles. Additionally, Dr. Asokan contributed significantly to the academic and scientific community as a Research Scholar at Karunya Institute of Technology and Sciences from December 2017 to December 2020, focusing on innovative research in image processing.

Achievements:

  • Best Young Researcher Award 2021 by IJMTST for research contributions.
  • Outstanding Research Paper Award by Novel Research Academy for the paper “Adaptive Cuckoo Search based optimal bilateral filtering for denoising of satellite images” published in ISA Transactions.
  • Program Committee Member and Reviewer for the International Conference on Cyber Technologies and Emerging Sciences.
  • Mentor for teams in the Yuva Innovators Challenge 2021.
  • Reviewer for IET Image Processing Journal and the Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
  • Best outgoing student award from Amrita School of Engineering, Coimbatore.
  • Academic excellence award for all semesters of M.Tech exams conducted by Amrita Vishwa Vidyapeetham.

Research Interests:

  • Image Processing
  • VLSI Design
  • Digital Signal Processing
  • Artificial Intelligence
  • Fuzzy Logic

Author Metrics:

  • Citations (Google Scholar): 446
  • H-Index (Google Scholar): 11

Top Noted Publication:

“A self-adaptable Manta ray optimized Gabor filter for satellite image enhancement”

  • Authors: Asokan, A.
  • Journal: Earth Science Informatics
  • Year: 2023
  • Volume: 16
  • Issue: 2
  • Pages: 1503–1517
  • Citations: 5

“Designing Artificial Intelligence (AI) Based Secured Framework to Improvise the Data Security of Confidential Academic Records”

  • Authors: Agarwal, M., Saraswat, M., Bahadur, P., Asokan, A., Bapat, V.
  • Journal: International Journal of Intelligent Systems and Applications in Engineering
  • Year: 2023
  • Volume: 11
  • Issue: 5s
  • Pages: 38–42
  • Citations: 2

“Content-Based Image Recovery System with the Aid of Median Binary Design Pattern”

  • Authors: Mehbodniya, A., Webber, J., Geetha Devi, A., Asokan, A., Bhanu, K.S.
  • Journal: Traitement du Signal
  • Year: 2023
  • Volume: 40
  • Issue: 2
  • Pages: 667–674
  • Citations: 2

“Simulation Environment for the I9 Vanet Platform”

  • Authors: Avhankar, M.S., Pawar, J., Singh, G., Kaliappan, S., Purohit, K.C.
  • Conference: 2nd IEEE International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI 2023)
  • Year: 2023

“Novel Method for Recognizing Sign Language using Regularized Extreme Learning Machine”

  • Authors: Moorthi, K., Asokan, A., Sri Sathya, K.B., Kalpana, V., Rastogi, R.
  • Conference: 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC 2023)
  • Year: 2023
  • Pages: 434–440