Assist. Prof. Dr. B. Shanmugapriya | Sensor Analysis | Best Researcher Award

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Assist. Prof. Dr. B. Shanmugapriya | Sensor Analysis | Best Researcher Award 

Assist. Prof. Dr. B. Shanmugapriya, Kalaimahal College of Arts and Science, India

Dr. B. Shanmugapriya is a dedicated physicist specializing in nanoscience, materials science, crystal growth, and gas sensors. She earned her Ph.D. in Physics from Annamalai University in 2017, focusing on the structural, morphological, optical, and photocatalytic properties of pure and metal-ion-doped In₂O₃ nanostructures synthesized by the hydrothermal method. Prior to that, she completed her M.Phil. in Physics at Bharathidasan University, where she studied the growth and characterization of pure potassium bromide crystals and their nonlinear optical properties. She also holds an M.Sc. and B.Sc. in Physics from the same university.

Professional Profile:

SCOPUS

ORCID

Summary of Suitability for Best Researcher Award – Dr. B. Shanmugapriya

Dr. B. Shanmugapriya is a strong candidate for the Research for Best Researcher Award based on her academic background, research contributions, technical expertise, and experience in physics and material science.

Education 🎓

  • Ph.D. in Physics (2012–2017) – Annamalai University
    Thesis: Structural, Morphological, Optical, and Photocatalytic Properties of Pure and Metal Ions (Zn²⁺, Ga³⁺, Ti³⁺) Doped In₂O₃ Nanostructures Synthesized by Hydrothermal Method
    Advisor: Dr. M. Shanthi

  • M.Phil. in Physics (2006–2008) – Bharathidasan University
    Thesis: Growth and Characterization of Pure Potassium Bromide Crystal at Room Temperature and Study of Their NLO Properties
    Advisor: Mr. V. Sureshkumar

  • M.Sc. in Physics (2004–2006) – Bharathidasan University
    Thesis: Growth and Characterization of Pure Ammonium Dihydrogen Orthophosphate at Various Temperatures
    Advisor: Mr. V. Sureshkumar

  • B.Sc. in Physics (2001–2004) – Bharathidasan University

Work Experience 🏫

  • Demonstrator – B.Sc. & M.Sc. Laboratory Teaching
  • Research expertise in Nanoscience, Materials Science, Crystal Growth, and Gas Sensors
  • Skilled in handling advanced instruments such as:
    • X-Ray Diffraction (XRD)
    • X-ray Photoelectron Spectroscopy (XPS)
    • Scanning Electron Microscopy (SEM)
    • Transmission Electron Microscopy (TEM)
    • UV Spectroscopy
    • Photoluminescence Spectroscopy (PL)
    • Thermogravimetric Analysis (TG-DTA)
    • Spray Pyrolysis and Spin Coating for Thin Film Deposition

Achievements & Recognitions 🏆

  • Extensive research in nanomaterials and photocatalysis
  • Conducted training programs on advanced spectroscopic and microscopy techniques
  • Published several research papers in high-impact journals
  • Strong expertise in instrumentation and materials characterization
  • Fluent in Tamil (Native) and English (Fluent in speaking & writing)

Publication Top Notes:

Enhancement of photocatalytic degradation of methylene blue dye using Ti<sup>3+</sup> doped In<sub>2</sub>O<sub>3</sub> nanocubes prepared by hydrothermal method

Effect of reaction time on structural, morphological, optical and photocatalytic properties of copper oxide (CuO) nanostructures

Hydrothermal synthesis of Ga-doped In 2 O 3 nanostructure and its structural, optical and photocatalytic properties

Synthesis, characterization and photocatalytic activity of pure and Zn-doped In2O3 nanostructures

Prof. Tong Zhou | Geographic Information | Best Paper Award

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Prof. Tong Zhou | Geographic Information | Best Paper Award 

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 master’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 Province’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.

📚 Education

  • Ph.D. in Cartography and Geographic Information System – Nanjing Normal University

👨‍🏫 Work Experience

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

🏆 Achievements

  • 6 National Natural Science Foundation Projects – Presided & Participated
  • 50+ High-Quality Research Papers – First or Corresponding Author (Including 3 ESI Highly Cited Papers 📄)
  • 10 National Invention Patents – Authorized
  • First-Class Undergraduate Course – “Spatial Data and Collection Management Practice” (Recognized in Jiangsu Province and Recommended for National-Level 🎓)
  • Graduate Research Excellence:
    • 2 Excellent Master’s Theses Awards – Jiangsu Province
    • 8 Practical Innovation Training Projects – Graduate Students in Jiangsu Province
  • Undergraduate Research & Competitions:
    • 7 Excellent Graduation Designs (Papers) Awards – Jiangsu Province (Including 2 Excellent Team Awards 🏅)
    • 60+ National Subject Competition Awards – (Including 3 Special Prizes in the National College Students GIS Application Skills Competition) 🥇
    • 10 National-Level Undergraduate Training Projects – (2 Selected for the National Innovation Annual Conference 🏆)
    • 20 High-Quality Undergraduate Papers Published – As First Author ✍️

🎖️ Awards & Honors

  • 2nd Prize in National GIS Teaching Achievements – Twice 🏅
  • Jiangsu Province Excellent Course Award – For “Spatial Data and Collection Management Practice” 🎓
  • National College Students GIS Application Skills Competition – 3 Special Prizes 🏆
  • Guided Students to National Innovation Recognition – 2 Projects Selected for National Innovation Annual Conference 🚀

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. 🌍✨

Publication 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

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

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

  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 – 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

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

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.

🎓 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). 📚

💻 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. 🌐

📊 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 🏛️
  • GIS Executive: Madhya Pradesh Agency for Promotion of Information Technology 🗺️
  • Assistant Professor: Maulana Azad National Institute of Technology, Bhopal 🏫
  • Head of Department: Acropolis Institute of Technology and Research, Bhopal 💼
  • Project Fellow: Regional Institute of Education, Bhopal 📖

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

🛰️ 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

 

Dr. Rafael Lemos Paes | Satellite Scanning Award | Best Researcher Award

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Dr. Rafael Lemos Paes | Satellite Scanning Award | Best Researcher Award 

Dr. Rafael Lemos Paes, General Staff of Brazilian Air Force, Brazil

Rafael Paes is a seasoned expert in orbital remote sensing with a focus on Synthetic Aperture Radar (SAR) imagery, artificial intelligence, and decision support systems. Born in Brazil, he earned his Bachelor’s degree in Aeronautical Sciences from the Brazilian Air Force Academy in 2001. He later obtained his Master’s (2009) and Ph.D. (2015) degrees in Orbital Remote Sensing from the National Institute for Space Research (INPE). Paes has over 20 years of experience, having worked as a SAR remote sensing researcher at the Institute for Advanced Studies (IEAv) from 2007 to 2020, where he also led the C4ISR Division. His research primarily focuses on the automatic extraction of information from orbital remote sensing images, particularly SAR, utilizing techniques like automatic pattern recognition, artificial intelligence, and stochastic processes. He has made significant contributions in detecting, recognizing, and tracking non-natural targets such as vessels, oil spills, and debris, which are crucial for the Brazilian Air Force’s ISR activities, including search and rescue operations.

Professional Profile:

 

Suitability of Rafael Paes for the Best Researcher Award:

Rafael Paes is a seasoned researcher with a robust background in Orbital Remote Sensing, particularly in Synthetic Aperture Radar (SAR) imagery. His expertise spans automatic information extraction from SAR images, AI-based pattern recognition, and decision support systems. With a career dedicated to advancing remote sensing technologies, Rafael has contributed significantly to the field, particularly in applications related to detecting, recognizing, and monitoring non-natural targets, such as ships and oil spills, crucial for environmental monitoring and defense.

Education:

  1. Academia da Força Aérea (Pirassununga, SP, Brazil)
    • Degree: B.Sc. in Ciências Aeronáuticas (Aeronautical Sciences)
    • Duration: February 1998 – December 2001
  2. Instituto Nacional de Pesquisas Espaciais (INPE, São José dos Campos, SP, Brazil)
    • Degree: M.Sc. in Observação da Terra (Earth Observation)
    • Duration: February 2007 – August 2009
  3. Instituto Nacional de Pesquisas Espaciais (INPE, São José dos Campos, SP, Brazil)
    • Degree: Ph.D. in Observação da Terra (Earth Observation)
    • Duration: March 2011 – December 2015
  4. Fundação Getúlio Vargas (Rio de Janeiro, RJ, Brazil)
    • Qualification: MBA Executivo in Planejamento e Gestão Estratégica (Executive MBA in Planning and Strategic Management)
    • Duration: January 2020 – December 2020

Work Experience:

  1. 1º/7º Grupo de Aviação (Salvador, BA, Brazil)
    • Position: Esquadrão Operacional de Patrulha (IVR) – Operational Patrol Squadron
    • Duration: January 2003 – January 2007
  2. Instituto de Estudos Avançados (IEAv, São José dos Campos, SP, Brazil)
    • Position: Head of C4ISR Division (Comando, Controle, Comunicações, Computadores, Inteligência, Vigilância e Reconhecimento) and SAR Remote Sensing Researcher
    • Duration: February 2007 – December 2020
  3. Escola de Comando e Estado-Maior da Aeronáutica (Rio de Janeiro, RJ, Brazil)
    • Position: Oficial-aluno (Officer Student)
    • Duration: December 2020 – December 2021
  4. Estado-Maior da Aeronáutica (EMAER, Brasília, Brazil)
    • Position: Assessor
    • Duration: December 2021 – Present

Publication top Notes:

On the Capability of Hybrid-Polarity Features to Observe Metallic Targets at Sea

Hybrid-polarimetry architecture to observe metallic targets at sea

COSMO-SkyMed SAR data to observe small metallic objects from ocean crashed aircraft

Ship detection in the Brazilian coast using TerraSAR-X SAR images