Dr. Ying Gong | Marine Sensing | Young Scientist Award

Posted on by Global Sensor Awards

Dr. Ying Gong | Marine Sensing | Young Scientist Award

Dr. Ying Gong, Shanghai University, China

Dr. Ying Gong is an accomplished researcher currently employed at Shanghai University, where he has been contributing to the academic community since July 2022. He earned his Ph.D. from Harbin Institute of Technology, having pursued his studies from August 2015 to July 2022. Dr. Gong also holds a degree from City University of Hong Kong, where he studied from August 2018 to November 2022. His research interests and expertise span various fields, reflecting his extensive academic background.

Professional Profile:

ORCID

SCOPUS

 

Education

  1. Harbin Institute of Technology
    • Degree: Ph.D.
    • Dates: August 14, 2015 – July 14, 2022
    • Location: Harbin, China
  2. City University of Hong Kong
    • Degree: [Degree not specified; potentially a Master’s or additional qualification]
    • Dates: August 29, 2018 – November 15, 2022
    • Location: Hong Kong

Work Experience

  1. Shanghai University
    • Position: [Position not specified]
    • Dates: July 14, 2022 – Present
    • Location: Shanghai, China

Publication top Notes:

Toward Highly Sensitive Ocean-Wave Monitoring With Sliding-Triboelectric Effect: Modeling, Experimental Validation, and Demonstration

Hand clappers inspired triboelectric nanogenerator based on magnetic coupling for harvesting rotational energy

The investigation of V-shaped arrays with non-uniform diameter cylinders for high performance hydrokinetic energy conversion

A Self-Adaptive Planar Velocity Vector Sensor Based on Vortex-Induced Torsional Swing Motions

Vortex-induced vibration triboelectric nanogenerator for energy harvesting from low-frequency water flow

On the performance of freestanding rolling mode triboelectric nanogenerators from rotational excitations for smart tires

Dr. Peng Zhou | Satellite Imaging | Best Researcher Award

Posted on by Global Sensor Awards

Dr. Peng Zhou | Satellite Imaging | Best Researcher Award 

Dr. Peng Zhou, Beijing Normal University, China

Mr. Peng Zhou is a Ph.D. candidate at the Faculty of Geographical Science, Beijing Normal University, specializing in global environmental change. His research interests span across remote sensing, aerosol studies, and Lidar technology, with a focus on leveraging data science, machine learning, and spatiotemporal modeling techniques. Peng Zhou holds a Master’s degree in Surveying and Mapping Engineering from Henan Polytechnic University and earned his Bachelor’s degree from Nanyang Normal University. His academic pursuits and research aim to contribute to understanding and mitigating environmental challenges through advanced spatial analysis and remote sensing applications.

Professional Profile:

ORCID

 

Education:

  • Ph.D. in Faculty of Geographical Science, Beijing Normal University, expected completion September 2024.
  • M.S. in Surveying and Mapping Engineering, Henan Polytechnic University, September 2021 – July 2024.
  • B.S. in Surveying and Mapping Engineering, Nanyang Normal University, September 2017 – July 2021.

Work Experience:

Mr. Peng Zhou’s professional experience includes research and academic roles focusing on remote sensing, aerosol studies, lidar, data science, machine learning, and spatiotemporal modeling. He has actively contributed to the field of geographical science through his research and affiliations with academic institutions.

 

Publication top Notes:

Quantifying the effects of the microphysical properties of black carbon on the determination of brown carbon using measurements at multiple wavelengths

Evaluation and Comparison of Multi-Satellite Aerosol Optical Depth Products over East Asia Ocean

Quantifying the effects of the microphysical properties of black carbon on the determination of brown carbon using measurements at multiple wavelengths

Supplementary material to “Quantifying the effects of the microphysical properties of black carbon on the determination of brown carbon using measurements at multiple wavelengths”

R-MFNet: Analysis of Urban Carbon Stock Change against the Background of Land-Use Change Based on a Residual Multi-Module Fusion Network

The Simulated Source Apportionment of Light Absorbing Aerosols: Effects of Microphysical Properties of Partially‐Coated Black Carbon

Dr. Akito Higatani | Intelligent Sensors | Best Researcher Award

Posted on by Global Sensor Awards

Dr. Akito Higatani | Intelligent Sensors | Best Researcher Award

Dr. Akito Higatani, Hanshin Expressway Co., Ltd., Japan

Akito Higatani is an accomplished professional in traffic engineering, currently serving as Assistant Manager in the Planning Department at Hanshin Expressway Co., Ltd. With a career spanning 18 years, he has made significant contributions to the field through his research and practical insights into traffic management and efficiency. Dr. Higatani’s academic journey began at Kyoto University, Japan, where he earned his Bachelor’s degree in Engineering from the Undergraduate School of Global Engineering, specializing in Transportation Engineering and Management. He continued his studies at Kyoto University, obtaining a Master’s degree in Urban Management, focusing on traffic efficiency in urban expressways. His doctoral studies also at Kyoto University culminated in a Doctor of Engineering degree, where his research focused on planning patrolling schedules in urban expressway networks considering traffic incidents and network performance fluctuations. Dr. Higatani has contributed extensively to the field through peer-reviewed papers and presentations at international conferences. His research, such as studying traffic volume fluctuations and travel time reliability measures in the Hanshin Expressway Network, has been instrumental in advancing understanding and strategies in traffic engineering.

 

Professional Profile:

SCOPUS

 

Education:

Akito Higatani pursued his academic journey at Kyoto University, Japan, specializing in Transportation Engineering and Management.

  • Bachelor of Engineering (Undergraduate School of Global Engineering, April 2000 – March 2004): Akito completed his undergraduate studies with a focus on Transportation Engineering and Management. His graduation thesis investigated traffic flow observation using image data.
  • Master of Engineering (Department of Urban Management, April 2004 – March 2006): Continuing his studies at Kyoto University, Akito delved deeper into urban traffic management, particularly focusing on traffic efficiency at merging sections of urban expressways using image data.
  • Doctor of Engineering (Department of Urban Management, April 2012 – March 2015): Akito pursued his doctoral studies, specializing in planning patrolling schedules within urban expressway networks. His dissertation focused on optimizing schedules considering traffic incidents and network performance fluctuations.

Work Experience:

Akito Higatani has accumulated extensive experience in traffic engineering and management, primarily at Hanshin Expressway Co., Ltd.

  • Assistant Manager, Planning Department: Akito has been serving as an Assistant Manager since joining Hanshin Expressway in April 2006. His role involves strategic planning within the Planning Department, focusing on optimizing traffic flow and efficiency across the expressway network.

Academic Achievements:

Akito Higatani has contributed significantly to the field of traffic engineering through peer-reviewed publications and conference presentations:

 

Publication top Notes:

Assessing the Impacts of Autonomous Vehicles on Road Congestion Using Microsimulation

An investigation into the appropriateness of car-following models in assessing autonomous vehicles

Driving simulator experiment on speed reduction during earthquake on an urban expressway

A study of traffic volume fluctuation considering traffic incidents in hanshin expressway network

Slippage test of frictional high strength bolted joints with adhesives for corroded damaged steel members

 

Dr. Hebat-Allah S. Tohamy | Chemical sensors | Best Researcher Award

Posted on by Global Sensor Awards

Dr. Hebat-Allah S. Tohamy | Chemical sensors | Best Researcher Award 

Dr. Hebat-Allah S. Tohamy, National Research Centre, Egypt

Dr. Hebat-Allah Sarhan Abd-Allah Tohamy, born on November 17, 1989, in Egypt, is an accomplished chemist with a strong academic and professional background. She earned her B.Sc. in Chemistry and Biochemistry with honors in 2011 and her M.Sc. in Organic Chemistry in 2017 from Helwan University. She completed her Ph.D. in Organic Chemistry in 2020 at the same institution, focusing on the preparation, characterization, and applications of carbon allotropes derived from agricultural wastes. Since 2012, Dr. Tohamy has been affiliated with the National Research Center’s Cellulose and Paper Department, where she has gained extensive experience in cellulose chemistry, nanomaterials, sustainability, and drug delivery systems. She has conducted scientific missions in Prague and has been involved in numerous research projects and international collaborations. Her work has earned her recognition, including the best M.Sc. thesis award at the National Research Centre in 2017. Dr. Tohamy is also a member of professional organizations such as the Egyptian Society of Polymer Science and Technology and the Organization for Women in Science for the Developing World (OWSD).

Professional Profile:

ORCID 

 

SCOPUS

 

Education:

  • Ph.D. in Organic Chemistry
    Faculty of Science, Helwan University, 2020
    Thesis Title: Preparation, characterization, and applications of carbon allotropes derived from agricultural wastes
  • M.Sc. in Organic Chemistry
    Faculty of Science, Helwan University, 2017
    Thesis Title: Preparation, characterization, and applications of cellulose-based amphiphilic materials
  • B.Sc. in Chemistry and Biochemistry
    Faculty of Science, Helwan University, 2011
    Graduated with Very Good with honors (among the top ten students)

Work Experience:

  • Teaching Assistant with Ph.D.
    Chair of Erosion and Torrent Control, Department of Ecological Engineering for Soil and Water Resources Protection, University of Belgrade – Faculty of Forestry, June 2022 – Present
    Responsible for teaching and research activities related to erosion control and soil and water conservation.
  • Teaching Assistant
    Chair of Erosion and Torrent Control, Department of Ecological Engineering for Soil and Water Resources Protection, University of Belgrade – Faculty of Forestry, April 2016 – June 2022
    Assisted in teaching and research, focusing on erosion control and ecological engineering.
  • Volunteer and Demonstrator
    University of Belgrade – Faculty of Forestry, November 2015 – April 2016
    Gained practical experience in teaching and laboratory work, contributing to various projects in ecological engineering.
  • Researcher
    National Research Center (NRC), Cellulose and Paper Department, since 2012
    Conducted extensive research in cellulose chemistry, recycling agricultural wastes, sustainability, kinetics, thermal analysis, hydrogels, nanomaterials, and amphiphilic polymers. Specialized in carbon-based materials, graphene oxide, carbon nanotubes, carbon quantum dots, drug delivery, water treatment, adsorption, and sensors.

Publication top Notes:

Biodegradable carboxymethyl cellulose based material for sustainable/active food packaging application

Fluorescence ‘Turn-on’ Probe for Chromium Reduction, Adsorption and Detection Based on Cellulosic Nitrogen-Doped Carbon Quantum Dots Hydrogels

Antibacterial activity and dielectric properties of the PVA/cellulose nanocrystal composite using the synergistic effect of rGO@CuNPs

Potential application of hydroxypropyl methylcellulose/shellac embedded with graphene oxide/TiO2-Nps as natural packaging film

Applications of propolis-based materials in wound healing

Oil dispersing and adsorption by carboxymethyl cellulose–oxalate nanofibrils/nanocrystals and their kinetics

 

Dr. Siniša Polovina | Degradation | Excellence in Innovation

Posted on by Global Sensor Awards

Dr. Siniša Polovina | Degradation | Excellence in Innovation 

Dr. Siniša Polovina ,University of Belgrade Faculty of Forestry, Serbia

Siniša Polovina, born on 23 November 1991 in Sremska Mitrovica, Republic of Serbia, is a dedicated Teaching Assistant with a Ph.D. at the University of Belgrade – Faculty of Forestry. He is currently affiliated with the Chair of Erosion and Torrent Control within the Department of Ecological Engineering for Soil and Water Resources Protection. His academic journey began with a Bachelor’s degree (2010-2014) and a Master’s degree (2014-2015) in Ecological Engineering for Soil and Water Resources Protection from the University of Belgrade. He pursued his Ph.D. studies in Biotechnical Sciences, focusing on Erosion and Conservation of Soil and Water, from 2015 to 2022 at the same institution. Siniša started his professional career as a volunteer and demonstrator at the University of Belgrade – Faculty of Forestry in November 2015, subsequently serving as a Teaching Assistant from April 2016 to June 2022, and later advancing to his current role. He is also an active member of the Association of Torrent Engineers of Serbia since 2015 and the Serbian Chamber of Engineers.

Professional Profile:

ORCID

1.🎓 Education and Training

  • PhD Studies (2015 – 2022)
    • University: University of Belgrade – Faculty of Forestry
    • Scientific Area: Biotechnical Sciences
    • Narrow Scientific Field: Erosion and Conservation of Soil and Water
  • Master Studies (2014-2015)
    • University: University of Belgrade – Faculty of Forestry
    • Study Program: Ecological Engineering for Soil and Water Resources Protection
    • Module: Protection of Water Resources in Hilly-Mountainous Areas
  • Bachelor Studies (2010-2014)
    • University: University of Belgrade – Faculty of Forestry
    • Study Program: Ecological Engineering for Soil and Water Resources Protection

2. 🏢 Work Experience

  • Teaching Assistant with PhD (June 2022 – Present)
    • Position: Chair of Erosion and Torrent Control, Department of Ecological Engineering for Soil and Water Resources Protection
    • Institution: University of Belgrade – Faculty of Forestry
  • Teaching Assistant (April 2016 – June 2022)
    • Position: Chair of Erosion and Torrent Control, Department of Ecological Engineering for Soil and Water Resources Protection
    • Institution: University of Belgrade – Faculty of Forestry
  • Volunteer and Demonstrator (November 2015 – April 2016)
    • Institution: University of Belgrade – Faculty of Forestry

3. 🌐 Membership in Professional Organizations

  • Association of Torrent Engineers of Serbia (2015 – Present)
  • Serbian Chamber of Engineers

Publication top Notes:

Elements of the Geodesign Framework As a Tool for Green Infrastructure Planning on a Landscape Scale

Application of Remote Sensing for Identifying Soil Erosion Processes on a Regional Scale: An Innovative Approach to Enhance the Erosion Potential Model

Prostorna identifikacija erozionih procesa primenom metoda daljinske detekcije u procesu izrade Karte erozije zemljišta
Book of Abstracts – Conference Guide, ECLAS 2023
Elements of the geodesign framework as a toll for green infrastructure planning on a landscape scale

Mr. Mohammad Marjani | Remote sensing | Best Researcher Award

Posted on by Global Sensor Awards

Mr. Mohammad Marjani | Remote sensing | Best Researcher Award 

Mr. Mohammad Marjani, Memorial University of Newfoundland, Canada

Mohammad Marjani is a dedicated researcher and educator currently pursuing a Doctor of Philosophy in Electrical and Computer Engineering at Memorial University of Newfoundland, specializing in advanced remote sensing and deep learning algorithms for environmental monitoring under the supervision of Dr. Masoud Mahdianpari. He holds a Master of Science in Geospatial Information System (GIS) from K.N.Toosi University of Technology, where he graduated with a stellar GPA of 4.0/4.0, focusing on wildfire spread modeling using deep learning techniques. His academic journey began with a Bachelor of Science in Geodesy and Geomatic Engineering from the same university, where he researched 3D change detection methods in point clouds.Marjani’s research interests span deep learning, machine learning, spatio-temporal modeling, and remote sensing, with particular emphasis on natural hazards like wildfires and methane monitoring. He has accumulated valuable teaching experience as a Teaching Assistant at both the Iran National Geographical Organization and K.N.Toosi University, imparting knowledge in image processing, MATLAB, and Python programming.In addition to his academic endeavors, Marjani is a co-founder of GeoHoosh, an educational group dedicated to promoting artificial intelligence in geomatic and geospatial engineering. His commitment to advancing the field through both research and education underscores his role as a rising expert in geospatial technologies and environmental monitoring.

 

Professional Profile

🎓 EDUCATION

Doctor of Philosophy, Electrical and Computer Engineering
📅 Sep 2023 – Present
📍 Memorial University of Newfoundland, St. John’s, NL, Canada
🌐 Advanced remote sensing and deep learning algorithms for environment monitoring
👨‍🏫 Supervisor: Dr. Masoud Mahdianpari

Master of Science, Geospatial Information System (GIS)
📅 Sep 2020 – Nov 2022
📍 K.N.Toosi University of Technology, Tehran, Iran (KNTU)
📊 GPA: 18.58/20 (4.0/4.0)
🔥 The wildfire spread modeling using deep learning techniques
👨‍🏫 Supervisor: Dr. M.S. Mesgari

Bachelor of Science, Geodesy and Geomatic Engineering
📅 Sep 2016 – Sep 2020
📍 K.N.Toosi University of Technology, Tehran, Iran (KNTU)
📊 GPA: 16.22/20 (3.34/4.0)
📐 Thesis Title: Evaluation of 3D change detection methods in point clouds
👨‍🏫 Supervisor: Dr. H. Ebadi

🔬 RESEARCH INTERESTS

  • Deep Learning 🧠
  • Machine Learning 🤖
  • Spatio-temporal Modeling 🌍
  • Wildfire 🔥
  • Remote Sensing 🛰️
  • Natural Hazards 🌪️
  • Wetland Monitoring 🌿
  • Methane Monitoring 🌱

💼 EXPERIENCE

Teaching Assistantships, Faculty of Iran National Geographical Organization
🖥️ Image Processing
📅 Sep 2019 – Jan 2020

  • Taught MATLAB programming language 💻
  • Prepared lectures 📝
  • Graded course assessments 🧾
  • Defined assignments 📚

Teaching Assistantships, K.N.Toosi University of Technology
🖥️ Computational Intelligence
📅 Sep 2022 – Jan 2023

  • Taught Python programming language 🐍
  • Prepared lectures 📝
  • Graded course assessments 🧾
  • Defined assignments 📚

Co-Founder of GeoHoosh
🌐 Educational Group
📅 Sep 2023 – Present

  • One of the four founders of GeoIntelligence Education Group, named GeoHoosh in Persian 🇮🇷
  • Aims to educate Artificial Intelligence in the Geomatic/Geospatial engineering sub-fields 🧭

Publications Notes:📄

Application of Explainable Artificial Intelligence in Predicting Wildfire Spread: An ASPP-Enabled CNN Approach

CNN-BiLSTM: A Novel Deep Learning Model for Near-Real-Time Daily Wildfire Spread Prediction

 

 

 

 

 

 

 

 

Dr. Adolph Nyamugama | Remote Sensing | Best Researcher Award

Posted on by Global Sensor Awards

Dr. Adolph Nyamugama | Remote Sensing | Best Researcher Award 

Dr. Adolph Nyamugama, Agricultural Research Council, South Africa

Dr. Adolph Nyamugama is an accomplished environmental geographer with a strong academic background, holding a PhD in Environmental Geography with a focus on the application of remote sensing in environmental monitoring. He completed his MSc in Geographical Information Systems & Cartography and his BSc Honors in Geography at Enrique Jose Varona University in Havana, Cuba. Dr. [Your Name] is fluent in English, Spanish, Shona, and Mandarin, and enjoys traveling and watching soccer in his spare time.Currently serving as a Senior Researcher at the Agricultural Research Council in Pretoria since January 2015, Dr. Adolph Nyamugama has excelled in strategic planning, operations management, research, and business development. He has successfully led the crop estimation project, generating R10 million annually, and introduced innovative spatial technology for crop disease monitoring. His expertise extends to stakeholder management, where he has fostered strong relationships with clients, peer organizations, and international partners.

Professional Profile

📚 Education

PhD in Environmental Geography
📅 Feb 2009 – Apr 2013
🎓 Focus: Application of Remote Sensing in Environmental Monitoring

MSc in Geographical Information Systems & Cartography
📅 Sep 2001 – Jul 2005

BSc Honors in Geography
📅 Sep 1993 – Jul 1998
🎓 Enrique Jose Varona University, Havana, Cuba

💼 Employment

Senior Researcher
📅 Jan 2015 – Present
📍 Agricultural Research Council, Pretoria

  • Strategic Planning: Developed team strategies aligning with organizational goals, participated in strategy development, monitored delivery, and provided strategic advice on revenue generation.
  • Operations Management: Directed crop estimation using drones and GIS, including project planning, KPI development, human/financial resource management, and milestone monitoring.
  • Research: Led multidisciplinary research projects, managed data collection/analysis, published reports/articles, and maintained spatial datasets.
  • Business Development: Created business strategies for revenue generation and long-term sustainability, drove marketing initiatives, and promoted services/products.

Senior GIS Consultant
📅 Jan 2011 – Dec 2013
📍 Kanimambo Cosmos Engineering Company, Cape Town City Council

  • Managed all GIS functions and monitored project work by technicians.
  • Provided GIS support for database-related issues and ensured mapping standards adherence.
  • Controlled mapping standards, reported on GIS aspects, and ensured timely completion of documents.
  • Managed, developed, and maintained spatial databases.

🏆 Achievements

  1. Crop Estimation Project: Successfully implemented a national project, generating at least R10 million annually.
  2. Spatial Technology for Crop Disease Detection: Introduced NRF-funded project for detecting and monitoring crop diseases.
  3. GIS Tools for Data Analysis: Implemented GIS tools for data analysis in various organizations.
  4. Intern Funding and Department Capacitation: Secured funding for interns to support departmental strategic objectives.
  5. SENTI2 Agri-System SA Demonstration Project: Led ARC-Catholic University collaboration on an Uncloud-ESA funded project.
  6. United Nations Convention to Combat Desertification: Appointed as an Independent Expert and Country Representative.

Publications Notes:📄

Integrating Sigmoid Calibration Function into Entropy Thresholding Segmentation for Enhanced Recognition of Potholes Imaged Using a UAV Multispectral Sensor

Radiometric Compensation for Occluded Crops Imaged Using High-Spatial-Resolution Unmanned Aerial Vehicle System

Irrigation Scheduling for Small-Scale Crops Based on Crop Water Content Patterns Derived from UAV Multispectral Imagery

Prospects of Improving Agricultural and Water Productivity through Unmanned Aerial Vehicles

 

 

 

 

 

 

 

 

Dr. Mengxue Lin | Aerosol Sensing | Best Researcher Award

Posted on by Global Sensor Awards

Dr. Mengxue Lin | Aerosol Sensing | Best Researcher Award

Dr. Mengxue Lin, Huazhong University of Science and Technology, China

Mengxue Lin is a dedicated and accomplished researcher in the field of aerosol optical sensing and fire smoke detection. She is affiliated with the School of Electronic Information and Communications at Huazhong University of Science and Technology in Wuhan, China. Mengxue received her Bachelor of Science degree from the same institution in 2017 and went on to earn her Doctor of Philosophy degree in 2023. Her professional journey has been marked by significant contributions to national key R&D projects under the Ministry of Science and Technology of China.Mengxue’s research expertise lies in the development and application of optical sensors for aerosol measurement. She has a strong track record of publications that showcase her innovative work in this field. Some of her notable academic achievements include the development of a simple Mie scattering calculation method based on an approximate linear model, an aerosol Sauter mean diameter sensing method based on optical scattering response, and an optical sensor for combustion aerosol particle size distribution measurement using an embedded chip with a low-complexity Mie scattering algorithm.
Professional Profile

Educational Qualifications

🎓 She received her B.S. degree from the School of Electronic Information and Communications, Huazhong University of Science and Technology in 2017 and her Ph.D. degree at the same school in 2023.

Professional Experience

💼 She has been working in the field of aerosol optical sensing and fire smoke detection. She participated in 3 national key R&D projects of the Ministry of Science and Technology of China.

Academic Achievements / Publications

📚 Selected Publications:

  1. A simple Mie scattering calculation method based on approximate linear model.
  2. Optical sensors and sensing congress – Aerosol Sauter mean diameter sensing method based on the optical scattering response of the combined particle volume-surface area.
  3. Optical sensor for combustion aerosol particle size distribution measurement based on embedded chip with low-complexity Mie scattering algorithm.
  4. In situ optical sensor for aerosol ovality and size.
  5. Aerosol Sauter mean diameter measurement based on the light scattering response of the combined particle volume-surface area.
  6. General aerosol Sauter mean diameter measurement for spherical and non-spherical particles based on low-complexity scattering algorithm.
  7. Embedded spatial-temporal convolutional neural network based on scattered light signals for fire and interferential aerosols classification.
  8. A three-wavelength optical sensor for measuring the multi-particle-size channel mass concentration of thermal power plant emissions.

 

.Publications Notes:📄

A Three-Wavelength Optical Sensor for Measuring the Multi-Particle-Size Channel Mass Concentration of Thermal Power Plant Emissions

General aerosol Sauter mean diameter measurement for spherical and non-spherical particles based on low-complexity scattering algorithm

Embedded Spatial–Temporal Convolutional Neural Network Based on Scattered Light Signals for Fire and Interferential Aerosol Classification

Cross-domain open-set fault diagnosis using prototype learning and extreme value theory

Optical sensor for combustion aerosol particle size distribution measurement based on embedded chip with low-complexity Mie scattering algorithm

In situ optical sensor for aerosol ovality and size

Calcium Overload or Underload? The Effects of Doxorubicin on the Calcium Dynamics in Guinea Pig Hearts