Prof. Tong Zhou | Geographic Information | Best Paper Award

Prof. Tong Zhou | Geographic Information | Best Paper Awardย 

Prof. Tong Zhou, Nantong University, China

Dr. Tong Zhou is a Professor and a renowned educator at Nantong University, specializing in Cartography and Geographic Information Systems (GIS). He earned his Ph.D. from Nanjing Normal University and currently serves as a masterโ€™s tutor in disciplines including geography education, resources and environment, and land resources management. Previously, he held key academic leadership roles as the Director of the Department of Geographic Information Science and Head of the GIS major. His research focuses on geographic artificial intelligence (GeoAI) and geography teaching theory. Dr. Zhou has led and contributed to six National Natural Science Foundation projects and has authored over 50 high-quality publications, including three ESI highly cited papers. He holds 10 national invention patents and has twice been awarded the second prize for GIS teaching achievements in national colleges and universities. As an advocate for education innovation, he developed Jiangsu Provinceโ€™s first-class undergraduate course, “Spatial Data and Collection Management Practice,” which has been recommended at the national level.

Professional Profile:

GOOGLE SCHOLAR

Suitability of Dr. Tong Zhou for the Best Paper Award

Dr. Tong Zhou is a renowned researcher in Geographic Information Science (GIS), Geographic Artificial Intelligence, and Geography Education. His impressive research contributions, high-impact publications, and nationally recognized teaching and mentoring make him a strong candidate for the Best Paper Award. Below is an evaluation of his suitability based on key factors.

๐Ÿ“š Education

  • Ph.D. in Cartography and Geographic Information System โ€“ Nanjing Normal University

๐Ÿ‘จโ€๐Ÿซ Work Experience

  • Professor & Famous Teacher โ€“ Nantong University
  • Master’s Tutor in:
    • Discipline Teaching (Geography)
    • Resources and Environment
    • Land Resources Management
  • Former Director โ€“ Department of Geographic Information Science
  • Former Head โ€“ Geographic Information Science Major

๐Ÿ† Achievements

  • 6 National Natural Science Foundation Projects โ€“ Presided & Participated
  • 50+ High-Quality Research Papers โ€“ First or Corresponding Author (Including 3 ESI Highly Cited Papers ๐Ÿ“„)
  • 10 National Invention Patents โ€“ Authorized
  • First-Class Undergraduate Course โ€“ “Spatial Data and Collection Management Practice” (Recognized in Jiangsu Province and Recommended for National-Level ๐ŸŽ“)
  • Graduate Research Excellence:
    • 2 Excellent Master’s Theses Awards โ€“ Jiangsu Province
    • 8 Practical Innovation Training Projects โ€“ Graduate Students in Jiangsu Province
  • Undergraduate Research & Competitions:
    • 7 Excellent Graduation Designs (Papers) Awards โ€“ Jiangsu Province (Including 2 Excellent Team Awards ๐Ÿ…)
    • 60+ National Subject Competition Awards โ€“ (Including 3 Special Prizes in the National College Students GIS Application Skills Competition) ๐Ÿฅ‡
    • 10 National-Level Undergraduate Training Projects โ€“ (2 Selected for the National Innovation Annual Conference ๐Ÿ†)
    • 20 High-Quality Undergraduate Papers Published โ€“ As First Author โœ๏ธ

๐ŸŽ–๏ธ Awards & Honors

  • 2nd Prize in National GIS Teaching Achievements โ€“ Twice ๐Ÿ…
  • Jiangsu Province Excellent Course Award โ€“ For “Spatial Data and Collection Management Practice” ๐ŸŽ“
  • National College Students GIS Application Skills Competition โ€“ 3 Special Prizes ๐Ÿ†
  • Guided Students to National Innovation Recognition โ€“ 2 Projects Selected for National Innovation Annual Conference ๐Ÿš€

Dr. Tong Zhou is a leading expert in Geographic AI and Geography Teaching Theory, with significant contributions to research, education, and student mentorship in GIS and spatial data management. ๐ŸŒโœจ

Publicationย Top Notes:

Multi-scenario simulation and ecological risk analysis of land use based on the PLUS model: A case study of Nanjing

CITED:266

RAANet: A Residual ASPP with Attention Framework for Semantic Segmentation of High-Resolution Remote Sensing Images

CITED:90

Identification of urban functional areas by coupling satellite images and taxi GPS trajectories

CITED:50

Spatiotemporal distribution characteristics and driving forces of PM2. 5 in three urban agglomerations of the Yangtze river economic belt

CITED:46

The category identification and transformation mechanism of rural regional function based on SOFM model: A case study of Central Plains Urban Agglomeration, China

CITED:21

Correlation analysis between UBD and LST in Hefei, China, using Luojia1-01 night-time light imagery

CITED:20

 

Assoc. Prof. Dr. Jie Zhao | Remote Sensing Awards | Best Researcher Award

Assoc. Prof. Dr. Jie Zhao | Remote Sensing Awards | Best Researcher Award

Assoc. Prof. Dr. Jie Zhao, Beijing University of Technology, China

ย  Dr. Jie Zhao is an Associate Professor at the School of Physics and Optoelectronic Engineering at Beijing University of Technology, China. She earned his Ph.D. in Optics from the university, where she also completed her Master’s degree. Dr. Zhao gained international research experience as a joint-cultured Ph.D. student at the University of Sheffield, UK. Her primary research interests include optical information processing, digital holographic microscopy, and Fourier ptychography imaging, with a focus on biological samples and terahertz wave phase-contrast imaging.She has contributed significantly to the advancement of diffraction tomographic imaging and continuous terahertz holography. Dr. Zhao has published numerous peer-reviewed articles in prominent journals and holds multiple patents.She is also an active member of the Society of Photo-Optical Instrumentation Engineers (SPIE) and has served as a postdoctoral researcher at the Henan Institute of Metrology.

Professional Profile:

SCOPUS

Summary of Suitability for the Best Researcher Award โ€“ Jie Zhao

Dr. Jie Zhao is an Associate Professor at Beijing University of Technology (BJUT), specializing in Optics and Optoelectronics. With a strong background in terahertz imaging, computational tomography, and optical information processing, Dr. Zhao has made significant contributions to both theoretical and applied optics. His extensive research output and collaborative efforts position him as an excellent candidate for the Best Researcher Award.

Education:

  • Sep. 2007 – July 2011: Ph.D. in Optics, College of Applied Sciences, Beijing University of Technology (BJUT), China.
    • Joint-cultured Ph.D. student at the College of Electronic and Electrical Engineering, The University of Sheffield, UK (Sep. 2008 – Sep. 2009).
  • Sep. 2005 – July 2007: Master’s in Optics, College of Applied Sciences, BJUT, China.
  • Sep. 2001 – July 2005: Bachelor’s in Science and Technology of Optical Information, College of Physics Science & Technology, Hebei University, China.

Professional Experience:

  • Aug. 2011 – Present: Associate Professor/Lecturer, School of Physics and Optoelectronic Engineering, BJUT, China.
    • Courses taught: Optics, College Physics, and Optical Information Processing.
  • Nov. 2017 – Nov. 2020: Postdoctoral Researcher, Henan Institute of Metrology, China.
  • Sep. 2011 – Present: Member of SPIE (International Society for Optics and Photonics).

Publication top Notes:

Continuous-wave terahertz in-line holographic diffraction tomography with the scattering fields reconstructed by a physics-enhanced deep neural network

High accuracy terahertz computed tomography using a 3D printed super-oscillatory lens

Binary diffractive lens with subwavelength focusing for terahertz imaging

Binocular full-color holographic three-dimensional near eye display using a single SLM

Diffraction tomography based on Fourier ptychographic microscopy with the multiple scattering model

Continuous-Wave Terahertz In-Line Digital Holography Based on Physics-Enhanced Deep Neural Network

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

Mr. Harsh Vazirani | Remote Sensing Awards | Best Researcher Awardย 

Mr. Harsh Vazirani, School of Aerospace, Mechanical and Mechatronics Engineering, Australia

This individual is currently pursuing PhD studies at the University of Sydney, having secured a scholarship from the Ministry of Social Justice to pursue their research abroad. With over 11 years of experience in the fields of Information Technology (IT), GIS, Remote Sensing, and Library and Information Science, they have demonstrated expertise across various sectors, including teaching, consulting, and project development. Notably, they worked as a Consultant (IT) in the Department of Disability Affairs, Government of India, New Delhi, and contributed to the development of GIS and Remote Sensing projects for the Madhya Pradesh Agency for Promotion of Information Technology.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award

The candidate is currently pursuing a Ph.D. at the University of Sydney, building on a solid foundation with an M.Tech in Information Technology and an M.Sc. in GIS & Remote Sensing. Their academic journey also includes certifications in Geo-informatics and a 5-year integrated M.Tech & B.Tech program from the Indian Institute of Information Technology and Management, Gwalior.

๐ŸŽ“ Academic Excellence:

Harsh Vazirani is currently pursuing a Ph.D. from the University of Sydney, supported by a prestigious scholarship from the Ministry of Social Justice, Government of India. He holds an integrated M.Tech and B.Tech in Information Technology from ABV-IIITM, Gwalior (2005-2010), completed with distinction. Additionally, he earned an M.Sc. in GIS & Remote Sensing from Mahatma Gandhi Gramodya Vishwavidyalaya (2015-2017). ๐Ÿ“š

๐Ÿ’ป Technical Expertise:

Harsh is an innovative thinker with hands-on experience in cutting-edge technologies including Python, MATLAB, PHP, AJAX, XML, and platforms such as Open Layer, D-Space, Arc GIS, Q-GIS, and Postgres SQL. His skillset extends to cloud computing, library automation systems (KOHA, D-Space), and web technologies like HTML, CSS, and JavaScript. ๐ŸŒ

๐Ÿ“Š Professional Experience:

With over 11 years of experience, Harsh has excelled in both teaching and non-teaching roles:

  • Consultant (IT): Department of Disability Affairs, Government of India, New Delhi ๐Ÿ›๏ธ
  • GIS Executive: Madhya Pradesh Agency for Promotion of Information Technology ๐Ÿ—บ๏ธ
  • Assistant Professor: Maulana Azad National Institute of Technology, Bhopal ๐Ÿซ
  • Head of Department: Acropolis Institute of Technology and Research, Bhopal ๐Ÿ’ผ
  • Project Fellow: Regional Institute of Education, Bhopal ๐Ÿ“–

๐Ÿ“Œ Additional roles include positions in software development, web design, and GIS projects, making significant contributions to national and regional-level initiatives.

๐Ÿ›ฐ๏ธ Research Aspirations:

Harsh aims to deepen his expertise in Aerospace and Spacecraft System Engineering, leveraging his strong foundation in physics, engineering, GIS, and IT.

Publication top Notes:

Evolutionary radial basis function network for classificatory problems

Diagnosis of breast cancer by modular neural network

Fusion of speech and face by enhanced modular neural network

 

Ms. Oumayma Sadgui | Remote Sensing Awards | Women Researcher Award

Ms. Oumayma Sadgui | Remote Sensing Awards | Women Researcher Awardย 

Ms. Oumayma Sadgui, IAV Hassan II, Morocco,

Oumayma Sadgui is a Water and Forest Engineer currently working in Ifrane National Park and pursuing her Ph.D. at IAV Hassan II, specializing in Natural Resources Economics and Environment. With a rich educational background, she holds a State Engineer diploma in forestry economics from the National School of Forest Engineers (ENFI), along with diplomas in general forestry and agronomy. Since 2022, she has been actively involved with the National Water and Forests Agency and the IMU of the PLAR project, focusing on ecotourism development in Ifrane National Park. Oumayma has field experience in surveys, socio-economic and ecological diagnoses, forest inventories, and vegetation studies. She is skilled in statistical data analysis using SPSS, digital cartography (GIS), and remote sensing. Her work is complemented by her ability to lead workshops and training sessions.

Professional Profile:

ORCID

GOOGLE SCHOLAR

Suitability of Oumayma Sadgui for the Research for Women Researcher Award

Academic and Research Background:
Oumayma Sadgui’s strong academic and research background, particularly in natural resources economics and environmental sustainability, makes her a suitable candidate for the award. She holds a Ph.D. candidacy at IAV Hassan II in Natural Resources Economics and has completed significant research on ecosystem services, hydrologic systems, and forest economics. Her focus on economic evaluations of ecosystem services within protected areas like Ifrane National Park demonstrates a clear commitment to research on sustainable development and environmental conservation.

Education

  • 2021-2024: PhD Candidate in Natural Resources Economics and Environment at IAV Hassan II.
  • 2019-2021: State Water and Forest Engineer Diploma, specializing in Forestry Economics from ENFI (National School of Forest Engineers).
  • 2017-2019: Diploma in General Forestry from ENFI.
  • 2015-2017: Two years of preparatory cycle in Agronomy at ENAM.
  • 2014-2015: Baccalaureate (Very Good Honors) in Life and Earth Sciences from Maarabat Boudnib Errachidia High School.

Professional Experience

  • Since 2022: Engineer at the National Water and Forests Agency, involved in the PIAR Project for ecotourism development in Ifrane National Park.
  • 2021: End of study dissertation on the Economic Evaluation of Ecosystem Services in the Toubkal National Park.
  • 2019: Summer Internship at the Provincial Direction of Water and Forests in Casablanca. Participated in an integrated development project in the Ben Slimane region and a multidisciplinary tour in the Middle Atlas and Rif.
  • 2018: Summer Internship at the Regional Direction of Water and Forests in the Middle Atlas. Participated in a multidisciplinary tour in the Middle Atlas and East.
  • 2014: Internship on a farm in Errachidia Province.

Publication top Notes:

Economic Assessment of Hydrologic Ecosystem Services in Morocco’s Protected Areas: A Case Study of Ifrane National Park

Economic Assessment of Hydrologic Ecosystem Services in Moroccoโ€™s Protected Areas: A Case Study of Ifrane National Park

Evaluation and Mapping of Carbon Sequestration Service in Morocco’s Protected Areas : A case study of Ifrnae National Park

Hydrologic Ecosystem Services values in Moroccoโ€™s Protected Areas: A Case Study of Ifrane National Park

Impact of land use dynamics on ecosystem services in Ifrane National Park (INP)

 

 

 

Prof. Haruichi Kanaya | Surveying Award | Best Researcher Award

Prof. Haruichi Kanaya | Surveying Award | Best Researcher Awardย 

Prof. Haruichi Kanaya, Kyushu University, Japan

Professor Haruichi Kanaya is a renowned academic specializing in high-temperature superconducting films, RF CMOS circuit design, and energy harvesting technologies. He earned his Bachelorโ€™s, Masterโ€™s, and Ph.D. degrees from Kyushu University, Japan, where he has held various positions since 1994, including Research Associate, Associate Professor, and currently, Professor in the Department of Electronics at the Graduate School of Information Science and Engineering. Professor Kanaya has also enriched his expertise as a Visiting Scholar at MIT and has led significant research initiatives in microwave and terahertz wave applications, including planar and phased array antennas. His notable contributions to the field have earned him several prestigious awards, including the Umekichi Tanaka Award in 2023 and the LSI IP Design Award in 2003. As a Senior Member of IEEE and IEICE, his research continues to advance energy harvesting circuits for telecommunications and medical applications, reflecting his commitment to technological innovation and interdisciplinary collaboration.

Professional Profile:

Summary of Suitability for Best Researcher Award

Haruichi Kanaya specializes in high-temperature superconducting films, wireless applications, planar antennas, RF CMOS circuit design, and energy harvesting circuits. His research is highly relevant to current technological advancements, including energy-efficient communication and medical applications.

Education:

  • March 1990: Graduated from Yamaguchi University, Department of Physics, Faculty of Science.
  • March 1992: Obtained Masterโ€™s Degree in Engineering from Kyushu University, Department of Applied Science, Faculty of Engineering, Japan.
  • March 1994: Obtained Ph.D. Degree in Engineering from Kyushu University, Department of Applied Science, Faculty of Engineering, Japan.

Work Experience:

  • April 1994 – October 1994: Research Fellow (Ph.D.) at Kyushu University.
  • November 1994 – March 1999: Research Associate at the Department of Electrical and Electronic Engineering, Faculty of Engineering, Yamaguchi University, Japan.
  • July 1998 – October 1998: Visiting Scholar at the Department of Materials Science and Engineering, Massachusetts Institute of Technology (MIT), USA.
  • April 1999 – March 2003: Research Associate at the Department of Electronics, Graduate School of Information Science and Engineering, Kyushu University, Fukuoka, Japan.
  • October 2003 – February 2019: Associate Professor at the Department of Electronics, Graduate School of Information Science and Engineering, Kyushu University, Fukuoka, Japan. Involved with the System LSI Center, The Research Institute of Superconductor Science and Systems, and E-JUST (Egypt-Japan University of Science and Technology) center.
  • March 2019 – Present: Professor at the Department of Electronics, Graduate School of Information Science and Engineering, Kyushu University, Fukuoka, Japan. Director of the Education Center for Semiconductors and Value Creation. Branch Chief at The Institute of Electronics, Information and Communication Engineers, Kyushu Section.

Publication top Notes:

Prototype Implementation of a Digitizer for Earthquake Monitoring System

Study on Improvement of Radio Propagation Characteristics of Cast Iron Boxes for Water Smart Meters

Thin Circularly Polarized Slot Array Antenna for High-Band UWB Applications

Compact and Simple High-Efficient Dual-Band RF-DC Rectifier for Wireless Electromagnetic Energy Harvesting

Compact Dual-Band Tapered Open-Ended Slot-Loop Antenna For Energy Harvesting Systems

Novel L-Slot Matching Circuit Integrated with Circularly Polarized Rectenna for Wireless Energy Harvesting

Mr. Dongbeom Kim | Geospatial Technology Award | Best Researcher Award

Mr. Dongbeom Kim | Geospatial Technology Award | Best Researcher Awardย 

Mr. Dongbeom Kim, University of Seoul, South Korea

Dongbeom Kim is a Masterโ€™s student in the Department of Geoinformatics at the University of Seoul, Korea, under the supervision of Chulmin Jun. He completed his B.S. in Geography from Kongju National University with a notable GPA of 3.9/4.5. His current research focuses on geospatial data analysis, sensor-based driving evaluation systems, and artificial intelligence applications in urban planning. Kim has authored several publications in prominent journals such as SENSORS, APPLIED SCIENCES, and LAND, covering topics from driving pattern detection to urban growth modeling using explainable AI. He has also contributed to domestic journals like the Journal of Korean Society for Geospatial Information Science and the Journal of Climate Change Research.

Professional Profile:

 

GOOGLE SCHOLAR

 

Summary of Suitability for Best Researcher Award

Dongbeom Kim is currently a Masterโ€™s student in the Department of Geoinformatics at the University of Seoul under the guidance of Chulmin Jun. He completed his Bachelorโ€™s degree in Geography from Kongju National University with a high GPA of 3.9/4.5 and is continuing to excel academically with a current GPA of 4.33/4.5 in his Masterโ€™s program.

Education

University of Seoul, Department of Geoinformatics
Master Student
Advisor: Chulmin Jun
Seoul, Korea
Mar. 2023 โ€“ Present
GPA: 4.33 / 4.5

Kongju National University, Department of Geography
B.S. in Geography
Gongju, Korea
Mar. 2015 โ€“ Feb. 2021
GPA: 3.9 / 4.5

Work Experience

University of Seoul
Master Student
Department of Geoinformatics
Seoul, Korea
Mar. 2023 โ€“ Present

  • Advisor: Chulmin Jun
  • Focused on projects related to geoinformatics and spatial analysis.

Development Projects:

  1. Development of Territorial Spatial Planning and Management Technology to Reduce GHG Emissions
    • Role: System Development
    • Duration: Jan. 2022 โ€“ Dec. 2023
    • Organization: Korea Land & Housing Corporation
  2. Development of Good Driving Evaluation System for Two-Wheeled Motorbikes
    • Role: System Development and Research Project Management
    • Duration: Jan. 2023 โ€“ Dec. 2023
    • Organization: University of Seoul
  3. A Preliminary Study on the Environmental Big Data Analysis Using GK2B GEMS – III
    • Role: System Development and Analysis
    • Duration: Mar. 2023 โ€“ Dec. 2023
    • Organization: Korea Environment Institute

 

Publication top Notes:

Assoc Prof Dr. Dericks Shukla | Remote Sensing | Excellence in Research

Assoc Prof Dr. Dericks Shukla | Remote Sensing | Excellence in Researchย 

Assoc Prof Dr. Dericks Shukla, IIT Mandi, India

Dr. Dericks Praise Shukla, born on January 2, 1982, is an esteemed Associate Professor with a robust academic and research background in Remote Sensing and GIS. He began his academic journey with a Bachelor of Science degree in Physics, Electronics, and Mathematics from Ewing Christian College, Allahabad University, completed between 1999 and 2002. He then pursued a Master of Science degree in Remote Sensing and GIS from Jiwaji University, which he obtained from 2002 to 2004. Dr. Shukla further advanced his expertise by earning a Ph.D. in Remote Sensing and Environmental Hydro-Geology from the University of Delhi, where he studied from 2006 to 2012.Dr. Shukla’s professional career has been marked by significant contributions to both teaching and research. Since December 2019, he has been associated with the Indian Institute of Technology (IIT) Mandi, where he is involved in teaching, research, and administrative duties. Prior to this, from January 2015 to November 2019, he also held similar responsibilities at IIT Mandi. From August 2011 to January 2015, Dr. Shukla worked at Ram Lal Anand College and the Department of Geology, where he continued his dedication to teaching and research. His professional journey began at J.M EnviroNet Pvt. Ltd., Gurgaon, where he served as a Functional Area Expert for EIA as a consultant in Remote Sensing and GIS from November 2009 to August 2013.

Professional Profile

Degrees Conferred

  • B.Sc.: Ewing Christian College, Allahabad University ๐Ÿ›๏ธ
    • Fields: Physics, Electronics, and Mathematics (1999-2002) ๐Ÿงฎ
  • M.Sc.: Jiwaji University ๐ŸŒ
    • Fields: Remote Sensing and GIS (2002-2004) ๐ŸŒ
  • Ph.D.: University of Delhi ๐Ÿซ
    • Fields: Remote Sensing, Environmental Hydro-Geology (2006-2012) ๐ŸŒŽ

Research/Training Experience

  • December 2019 โ€“ Present: Indian Institute of Technology Mandi ๐Ÿ”๏ธ
    • Roles: Teaching, Research, Administrative Work ๐Ÿ“–
  • January 2015 โ€“ November 2019: Indian Institute of Technology Mandi ๐Ÿ”๏ธ
    • Roles: Teaching, Research, Administrative Work ๐Ÿ“š
  • August 2011 โ€“ January 2015: Ram Lal Anand College and Department of Geology ๐Ÿซ
    • Roles: Teaching, Research, Administrative Work ๐Ÿ“
  • November 2009 โ€“ August 2013: J.M EnviroNet Pvt. Ltd., Gurgaon ๐Ÿข
    • Role: Functional Area Expert for EIA as Consultant in Remote Sensing and GIS ๐ŸŒ

Major Scientific Fields of Interest

  • Remote Sensing & GIS (RS&GIS) ๐ŸŒ
  • Natural Hazards ๐ŸŒช๏ธ
  • Multispectral and SAR Remote Sensing ๐ŸŒˆ
  • Himalayan Geology ๐Ÿ”๏ธ

 

Publications Notes:๐Ÿ“„

Discriminative Spectralโ€“Spatial Feature Extraction-Based Band Selection for Hyperspectral Image Classification

Effect of scale and mapping unit on landslide susceptibility mapping of Mandakini River Basin, Uttarakhand, India

Identifying Geotechnical Characteristics for Landslide Hazard Indication: A Case Study in Mandi, Himachal Pradesh, India

Deciphering the role of meteorological parameters controlling the sediment load and water discharge in the Sutlej basin, Western Himalaya

Band Selection Using Combined Divergenceโ€“Correlation Index and Sparse Loadings Representation for Hyperspectral Image Classification

Spatial distribution of uranium and chemo-radiological assessment in Hamirpur district, Himachal Pradesh, India