Dr. Li Qin | Monitoring Award | Best Researcher Award

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Dr. Li Qin | Monitoring Award | Best Researcher Award 

Dr. Li Qin, Zhejiang Ocean University, China

Dr. Li Qin is a faculty member in the Department of Information Engineering at Zhejiang Ocean University, China. He earned his Ph.D. in Information and Communication Engineering from Dalian Maritime University in 2019, where he also completed his M.S. and B.S. degrees. He was a visiting Ph.D. student at the Cullen College of Engineering, University of Houston, from 2017 to 2018. Before joining Zhejiang Ocean University in 2024, he served as an associate research fellow and lecturer at Ningbo University and was a visiting scholar at Zhejiang University. His research focuses on information engineering and related technologies.

Professional Profile:

ORCID

Suitability of Li Qin, Ph.D., for the Best Researcher Award

Dr. Li Qin demonstrates a strong academic background and research experience in the field of Information and Communication Engineering. His contributions to multidisciplinary research, particularly in marine science, engineering, and tunnel lighting systems, highlight his diverse expertise. Below is an evaluation based on key award criteria:

📚 Education

🎓 Ph.D. in Information and Communication Engineering (Mar. 2015 – Jan. 2019)
🔹 Dalian Maritime University, China

🎓 Visiting Ph.D. Researcher (Sept. 2017 – Sept. 2018)
🔹 Cullen College of Engineering, University of Houston, TX, USA

🎓 M.S. in Electronic Science and Technology (Sept. 2013 – Mar. 2015)
🔹 Dalian Maritime University, China

🎓 B.S. in Electronic Information Science and Technology (Sept. 2009 – July 2013)
🔹 Dalian Maritime University, China

🏢 Professional Experience

👨‍🏫 Lecturer (June 2024 – Present)
🔹 Department of Information Engineering, Zhejiang Ocean University, China

🧑‍🔬 Associate Research Fellow (Dec. 2022 – May 2024)
🔹 Department of Information Science and Engineering, Ningbo University, China

🎓 Visiting Scholar (Sept. 2022 – Sept. 2023)
🔹 Ocean College, Zhejiang University, China

👨‍🏫 Lecturer (Jan. 2019 – Dec. 2022)
🔹 Department of Information Science and Engineering, Ningbo University, China

🏆 Achievements, Awards & Honors

🌟 Outstanding Research Contribution – Recognized for significant contributions to Information and Communication Engineering
📜 Published Multiple Research Papers – Articles in prestigious SCI/EI-indexed journals
🏅 Government and Institutional Grants – Secured funding for various research projects
🔬 Key Research Areas – Wireless Communications, Signal Processing, Ocean Information Engineering

Publication Top Notes:

Actual Truck Arrival Prediction at a Container Terminal with the Truck Appointment System Based on the Long Short-Term Memory and Transformer Model

Proposal for a Calculation Model of Perceived Luminance in Road Tunnel Interior Environment: A Case Study of a Tunnel in China

Comparative Study of Energy Savings for Various Control Strategies in the Tunnel Lighting System

Use of Pupil Area and Fixation Maps to Evaluate Visual Behavior of Drivers inside Tunnels at Different Luminance Levels—A Pilot Study

Dynamic luminance tuning method for tunnel lighting based on data mining of real-time traffic flow

Prof. Magdalena Piasecka | Temperature Measurement | Excellence in Research

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Prof. Magdalena Piasecka | Temperature Measurement | Excellence in Research 

Prof. Magdalena Piasecka, Kielce University of Technology, Poland

Dr. Magdalena Piasecka is a Full Professor and Head of the Department of Mechanics and Thermal Processes at Kielce University of Technology, Poland. She earned her Ph.D. from Kielce University of Technology in 2002, followed by a habilitation from Koszalin University of Technology in 2015. In 2020, she was awarded the title of Professor in technical sciences by the President of Poland. Her research focuses on flow boiling heat transfer in minigaps, investigating the effects of geometry, spatial orientation, and thermal parameters on boiling processes. She specializes in enhanced heat transfer surfaces, advanced temperature measurement techniques such as liquid crystal and infrared thermography, and mathematical modeling of heat and fluid flow. With over 230 scientific publications, she has an H-index of 24 and more than 1,100 citations. She has authored three monographs and holds two patents. Dr. Piasecka has participated in 12 research projects, serving as Principal Investigator in five. Her contributions to thermodynamics, fluid mechanics, and renewable energy have earned her multiple awards and distinctions for scientific excellence.

Professional Profile:

SCOPUS

Summary of Suitability for Excellence in Research 

Prof. Magdalena Piasecka is a highly deserving candidate for the Excellence in Research Award, given her outstanding contributions to heat transfer, thermodynamics, and fluid mechanics. Her extensive publication record, leadership in research projects, and impact on the scientific community demonstrate her exceptional research excellence.

🎓 Education & Academic Titles:

  • Ph.D. (2002) – Kielce University of Technology, Poland
  • Habilitation (2015) – Koszalin University of Technology, Poland
  • Professor Title (2020) – Conferred by the President of Poland in Technical Sciences

👩‍🏫 Work Experience:

  • Full Professor & Head of the Department of Mechanics and Thermal Processes – Kielce University of Technology, Poland

🏆 Achievements:

  • 📚 230+ Scientific Publications in peer-reviewed journals & international conferences
  • 📈 Web of Science Bibliometric Metrics:
    • H-index: 24
    • Total Citations: 1102 (480 excluding self-citations)
    • Total Impact Factor (IF): 108.6 (current), 108.89 (5-year IF)
  • 📖 Books & Patents:
    • 2 Monographs (Author), 1 Monograph (Co-author)
    • 1 Patent (Author), 1 Patent (Co-author)
  • 🔬 Research Projects:
    • Participated in 12 research projects (Principal Investigator in 5 projects)

🏅 Awards & Honors:

  • Multiple Awards & Distinctions for outstanding scientific achievements in heat transfer, thermodynamics, and renewable energy research

Publication Top Notes:

Laser Surface Texturing for the Intensification of Boiling Heat Transfer in a Minichannel

Contact temperature measurement using selected thermoelements for studies of heat transfer during fluid flow in minichannels – metrology investigations

Using the Monte Carlo method for estimation of temperature uncertainty due to infrared thermography and K-type thermoelement measurements

Homotopy Perturbation Method with Trefftz Functions and Simcenter STAR-CCM+ Used for the Analysis of Flow Boiling Heat Transfer

Using Quality Function Deployment to Assess the Efficiency of Mini-Channel Heat Exchangers

Investigations of Flow Boiling in Mini-Channels: Heat Transfer Calculations with Temperature Uncertainty Analyses

Prof. Xiaoxia Wan | Sensing Technology | Excellence in Innovation

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Prof. Xiaoxia Wan | Sensing Technology | Excellence in Innovation 

Prof. Xiaoxia Wan, Wuhan University, China

Wan Xiaoxia, is a distinguished professor and doctoral supervisor specializing in color science and technology. She is currently a faculty member in the Department of Printing and Packaging at Wuhan University, where she has served since 2018. Wan holds a Ph.D. in Cartography and Geographic Information Systems from Wuhan University, and her educational background includes a Master’s in Geographic Information Systems and a Bachelor’s in Cartography from the same institution. Her academic journey was enriched by her experience as a senior visiting scholar at the Munsell Color Science Laboratory, California State University, and Rochester Institute of Technology. In addition to her teaching role, she holds several significant positions, including Deputy Director of the Teaching Guidance Committee for Light Industry Majors of the Ministry of Education and member of both the China Printing and Color Standardization Technical Committees. Wan has received numerous awards for her teaching and research, including the National Excellent Course designation for her course “Introduction to Printing” and recognition as a leading talent in the news and publishing industry. Her research has led to successful projects funded by the National Natural Science Foundation of China, focusing on color reproduction methods for cultural relics. Wan’s contributions to her field have been acknowledged through several prestigious awards, including the Hubei Science and Technology Progress Award and the China National Textile and Apparel Council Science and Technology Award.

Professional Profile:

SCOPUS

Summary of Suitability for Excellence in Innovation: Wan Xiaoxia

Dr. Wan Xiaoxia is a highly qualified candidate for the Excellence in Innovation award, distinguished by her extensive contributions to color science and technology, particularly in the realm of printing and packaging. Her pioneering research and leadership roles in various educational and professional organizations reflect her commitment to advancing innovation in her field.

Education 🎓

  • Senior Visiting Scholar
    Munsell Color Science Laboratory, California State University, Los Angeles and Rochester Institute of Technology (2004-2006)
  • Ph.D. in Engineering
    Cartography and Geographic Information Systems, Wuhan University (1995-2002)
  • Master of Engineering
    Geographic Information Systems, Wuhan University of Surveying and Mapping (1992-1995)
  • Bachelor of Engineering
    Cartography, Wuhan University of Surveying and Mapping (1982-1986)

Work Experience 💼

  • Professor & Doctoral Supervisor
    Department of Printing and Packaging, Wuhan University (2018-present)
  • Vice Dean
    School of Journalism and Communication, Wuhan University (2000-present)
  • Lecturer
    School of Printing Engineering, Wuhan University of Surveying and Mapping (1996-2000)
  • Teaching Assistant
    Department of Cartography, Wuhan University of Surveying and Mapping (1986-1992)
  • Doctoral Supervisor
    School of Printing and Packaging, Wuhan University (2004-present)

Achievements 📚

  • National Excellent Course
    “Introduction to Printing” (2008)
  • National Excellent Shared Course
    “Introduction to Printing” (2010)
  • National Bi Sheng Newcomer Award (2009)
  • Suzhou Industrial Park Leading Talent (2012)
  • Hubei Province News and Publishing Figures (2012)
  • National News and Publishing Industry Leading Talent (2013)
  • Wuhan City Huanghe Talent (2014)
  • Wuhan University Excellent Teaching and Research Achievement First Prize (2008)
  • Hubei Province Higher Education Teaching Achievement First Prize (2008, 2018)

Awards & Honors 🏆

  • Second Prize of Hubei Science and Technology Progress Award
    Key Technology and Application of Color Reproduction Based on Spectrum (2020)
  • Dunhuang Academy “Excellent Academic Achievement Award”
    Protection Technology Category, Second Prize (2017)
  • China National Textile and Apparel Council Science and Technology Award
    Key Technology and Industrialization of Full-Color Yarn Manufacturing, Second Place (2016)

Publication Top Notes:

A Color Reproduction Method for Exploring the Laser-Induced Color Gamut on Stainless Steel Surfaces Based on a Genetic Algorithm

Enhancement of laser-induced surface coloring through laser double-scan method

Prediction model for laser marking colors based on color mixing

A Novel Correction Method of Kubelka–Munk Model for Color Prediction of Pre-colored Fiber Blends

Dynamic Projection Method of Electronic Navigational Charts for Polar Navigation

Spectral missing color correction based on an adaptive parameter fitting model

 

Dr. Hao Cui | Remote sensing | Best Researcher Award

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Dr. Hao Cui | Remote sensing | Best Researcher Award

Dr. Hao Cui, Wuhan University, China

Hao Cui is a postdoctoral researcher at the State Key Laboratory of Geospatial Information Science at Wuhan University, specializing in the intelligent interpretation of remote sensing imagery. Since July 2021, he has been working under the mentorship of Professor Li Deren, building on his previous academic experiences. Hao earned his Ph.D. in Photogrammetry and Remote Sensing from Wuhan University, where he studied under Professor Zhang Guo from September 2018 to July 2021. His academic journey also includes a master’s degree obtained through a joint training program at the China Academy of Surveying and Mapping, as well as studies in Cartography and Geographic Information Systems at Lanzhou Jiaotong University. He holds a bachelor’s degree in Measurement and Control Engineering from Datong University of Science and Technology. Hao has hosted several prestigious projects, including the National Natural Science Foundation of China Youth Project and the China Postdoctoral Innovation Talents Support Plan Project. He has made significant contributions to his field, authoring or co-authoring 13 published papers, with 10 featured in top-tier journals, including ISPRS and TGRS.

Professional Profile:

SCOPUS

Summary of Suitability for the Best Researcher Award: Hao Cui

Hao Cui is a highly qualified candidate for the Best Researcher Award, demonstrating exceptional expertise and a strong research background in remote sensing and image interpretation. His research direction focuses on the mechanisms and interpretation theory methods of remote sensing images applied in engineering, which aligns well with contemporary advancements in geospatial sciences.

🎓 Education

  • Postdoctoral Researcher
    State Key Laboratory of Geospatial Information Science, Wuhan University
    Intelligent Interpretation of Remote Sensing Imagery
    Advisor: Li Deren
    Duration: July 2021 – Present
  • Ph.D. Student
    State Key Laboratory of Geospatial Information Science, Wuhan University
    Photogrammetry and Remote Sensing
    Advisor: Zhang Guo
    Duration: September 2018 – July 2021
  • Master’s Joint Training
    China Academy of Surveying and Mapping
    Cartography and Geographic Information Systems
    Advisor: Zhang Li
    Duration: August 2016 – June 2018
  • Master’s Student
    School of Surveying and Geographic Information, Lanzhou Jiaotong University
    Cartography and Geographic Information Systems
    Advisor: Zhang Li
    Duration: September 2015 – July 2016
  • Bachelor’s Student
    Datong University of Science and Technology
    Measurement and Control Engineering
    Major: Surveying and Mapping Engineering
    Advisor: Han Liang
    Duration: September 2011 – July 2015

💼 Work Experience

  • Postdoctoral Researcher
    State Key Laboratory of Geospatial Information Science, Wuhan University
    Focus: Intelligent Interpretation of Remote Sensing Imagery
    Duration: July 2021 – Present

🏆 Awards and Honors

  • National Natural Science Foundation of China (Youth Project)
  • China Postdoctoral Innovation Talents Support Plan Project
  • China Postdoctoral Excellent Young Talents Project
  • China Association for Science and Technology Think Tank Young Talent Plan Project
  • East Asian Satellite Remote Sensing Application Key Laboratory of Natural Resources Ministry of China Fund Project

Publication Top Notes:

Rice recognition from Sentinel-1 SLC SAR data based on progressive feature screening and fusion

SparseFormer: A Credible Dual-CNN Expert Guided Transformer for Remote Sensing Image Segmentation with Sparse Point Annotation

Efstratios Karantanellis | Remote Sensing | Best Researcher Award

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Efstratios Karantanellis | Remote Sensing | Best Researcher Award

Dr. Efstratios Karantanellis, University of Michigan-Ann Arbor, United States.

Dr. Efstratios Karantanellis is a research fellow in the Department of Earth and Environmental Sciences at the University of Michigan, specializing in natural hazards, engineering geology, and landslide analysis. He obtained his PhD from Aristotle University of Thessaloniki in 2022 and has collaborated on various projects focused on disaster risk reduction and response, utilizing remote sensing and object-based image analysis (OBIA). Efstratios has extensive experience in hazard assessment and mitigation planning, contributing to research in Greece and internationally. He has been recognized with multiple awards for his contributions to the field. 🌍🔬🎓

Publication Profiles 

Googlescholar

Education and Experience

  • PhD, Aristotle University of Thessaloniki, Greece (2022) 🎓
  • MSc, University of Twente, ITC, Netherlands (2015) 🌍
  • BSc, Aristotle University of Thessaloniki, Greece (2013) 📚
  • Research Fellow, University of Michigan, Ann Arbor, USA (2022 – ongoing) 🏫
  • Visiting Researcher, University of California, Berkeley, USA (2024) 🌉
  • Research Associate, various projects in Greece (2020 – 2023) 📊

Suitability For The Award

Dr. Efstratios Karantanellis is an outstanding candidate for the Best Researcher Award, recognized for his exceptional contributions to geosciences, specifically in the field of disaster risk reduction and environmental management. His extensive educational background, including a PhD from Aristotle University of Thessaloniki and ongoing research at the University of Michigan, equips him with a robust foundation in both theoretical and applied aspects of his discipline.

Professional Development

Dr. Efstratios Karantanellis has actively participated in numerous research projects, enhancing his expertise in engineering geology and disaster risk management. He contributed to the Center for Land Surface Hazards (CLaSH) as part of the U.S. National Science Foundation. His research includes developing tools for landslide disaster risk reduction and coastal zone monitoring systems. By collaborating with interdisciplinary teams, he has leveraged interoperable technologies to support infrastructure resilience. Through his extensive work, Efstratios has made significant contributions to natural hazards research and continues to advance knowledge in this critical field. 🔍📈🤝

Research Focus

Dr. Efstratios Karantanellis focuses on natural hazards, particularly landslide engineering geology and risk management. His research incorporates remote sensing techniques and object-based image analysis (OBIA) to assess and mitigate the impacts of landslides and other geological hazards. He emphasizes disaster risk reduction throughout the disaster life cycle, utilizing innovative methodologies to support effective response and recovery strategies. His work aims to enhance resilience in vulnerable regions, contributing to safer and more sustainable communities. 🌪️🏞️🧪

Awards and Honors

  • Richard Wolters Prize, International Association for Engineering Geology and the Environment (2024, Runner-up) 🏆
  • Early Career Research Award of Excellence, Faculty of Natural Sciences, Aristotle University of Thessaloniki (2022) 🌟
  • Postdoctoral Fellowship, NASA’s Applied Science Disasters Program (2022) 🚀
  • Research Grant, co-financed by Greece and the EU (MIS-5000432) 💰
  • ISPRS Foundation Travel Grant, 2019 ✈️
  • EuroSDR GeoInformation Travel Grant, 2018 📍

Publication Top Notes 

  •   🌍 Object-based analysis using UAVs for site-specific landslide assessment – Remote Sensing, 2020, Cited by: 72
  • 📡 Satellite imagery for rapid detection of liquefaction surface manifestations: Türkiye–Syria 2023 Earthquakes – Remote Sensing, 2023, Cited by: 32
  • 📏 Automated 3D jointed rock mass structural analysis using LiDAR for rockfall susceptibility – Geotechnical and Geological Engineering, 2020, Cited by: 29
  • 🤖 Evaluation of machine learning algorithms for object-based mapping of landslide zones using UAV data – Geosciences, 2021, Cited by: 26
  • 🛰️ 3D hazard analysis and object-based characterization of landslide motion using UAV imagery – International Archives of Photogrammetry and Remote Sensing, 2019, Cited by: 20
  • 🌪️ The September 18-20 2020 Medicane Ianos Impact on Greece: Phase I Reconnaissance Report – GEER Association, 2020, Cited by: 19  

Dr. Arul Elango | Satellite Tracking Awards | Best Researcher Award

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Dr. Arul Elango | Satellite Tracking Awards | Best Researcher Award 

Dr. Arul Elango, Vignan’s Foundation for Science, Technology and Research, India

Dr. G. Arul Elango is an accomplished academic and researcher specializing in GPS signal processing and advanced computer science. He currently serves as an Associate Professor in the Advanced Computer Science and Engineering Department at Vignan’s Foundation for Science, Technology & Research, where he applies his extensive expertise in spatial data analysis and algorithm design. Dr. Elango completed his postdoctoral research at the University of Helsinki, Finland, and previously held a postdoctoral fellowship at the École de Technologie Supérieure in Montreal, Canada. He earned his Ph.D. in Electronics and Communication Engineering from Pondicherry Engineering College, focusing on enhancing GPS receiver performance under degraded conditions. With a robust professional background that includes teaching roles at various institutions in India, he has actively contributed to numerous high-profile research projects, including collaborations with the Natural Sciences and Engineering Research Council of Canada and the European Space Agency. Dr. Elango’s work is widely recognized in the fields of deep learning and geospatial data security, and he has supervised multiple graduate students, fostering the next generation of engineers and researchers.

Professional Profile:

SCOPUS

Best Researcher Award

Based on Dr. G. Arul Elango’s impressive academic and professional credentials, I strongly recommend him for the Best Researcher Award. His qualifications and contributions to the field of GPS signal processing and geospatial data analysis demonstrate his suitability for this recognition. Below are the key highlights from his Curriculum Vitae that support this recommendation.

Education 🎓

  • Postdoctoral Research
    Spatiotemporal Data Analysis Group, Department of Computer Science, University of Helsinki, Finland
    April 2021 – April 2023
  • Post-Doctoral Research Fellow
    Laboratory of Space Technologies, Embedded Systems, Navigation, and Avionic (LASSENA), École de Technologie Supérieure, Montreal, Canada
    January 2020 – April 2021
  • Ph.D. in GPS Signal Processing
    Electronics and Communication Engineering, Pondicherry Engineering College (affiliated with Pondicherry Central University), India
    2017

    • Thesis: Software-Based GPS Receiver Acquisition and Positioning Performance Enhancement under Degraded Conditions.
  • Master of Engineering in Applied Electronics
    College of Engineering, Guindy, Anna University, Chennai, India
    June 2004

    • Achieved First Class Honors.
  • Bachelor of Engineering in Electronics and Communication
    National Engineering College (affiliated with Manonmaniam Sundaranar University), Tamil Nadu, India
    2000

    • Achieved First Class Honors.

Work Experience 💼

  • Associate Professor
    Advanced Computer Science and Engineering Department, Vignan’s Foundation for Science, Technology & Research
    July 2023 – Present
  • Associate Professor
    Electronics and Communication Engineering Department, Sree Vidyanikethan Engineering College, Tirupati, India
    January 2017 – November 2019
  • Research Scholar
    Electronics and Communication Engineering Department, Pondicherry Engineering College, Pondicherry, India
    January 2012 – June 2015
  • Associate Professor and Head
    Electronics and Communication Engineering Department, Renganayagi Varatharaj College of Engineering, Sivakasi, Tamil Nadu, India
    June 2015 – October 2016
  • Assistant Professor
    Electronics and Communication Engineering Department, National Engineering College, Kovilpatti, Tamil Nadu, India
    January 2010 – January 2012
  • Senior Lecturer
    Electronics and Communication Engineering Department, Kalasalingam University, Tamil Nadu, India
    June 2007 – January 2010
  • Design Engineer
    NewTech Software Private Limited, Bangalore, India
    July 2004 – June 2007

Achievements and Awards 🏆

  • Successfully designed algorithms for GNSS Software Defined Radio with anti-jamming capabilities under the Natural Sciences and Engineering Research Council of Canada.
  • Developed AI/Deep Learning algorithms for Ionospheric Anomaly Detection using GNSS SDR for the European Space Agency.
  • Contributed to resilience and security of geospatial data for critical infrastructures through deep learning algorithm design and deployment.

Publication Top Notes:

Design of a Smart Energy Meter and Monitoring System for Industrial and Residential Use Based on the Internet of Things

A new multipath channel estimation and mitigation using annihilation filter combined tracking loop implementation in software GPS receivers

Quasi-Real RFI Source Generation Using Orolia Skydel LEO Satellite Simulator for Accurate Geolocation and Tracking: Modeling and Experimental Analysis

Disruptive GNSS Signal detection and classification at different Power levels Using Advanced Deep-Learning Approach

A survey for recent techniques and algorithms of geolocation and target tracking in wireless and satellite systems

Prof. Dr. Xiaogang Lin | Biosensor Awards | Best Researcher Award

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Prof. Dr. Xiaogang Lin | Biosensor Awards | Best Researcher Award 

Prof. Dr. Xiaogang Lin, Chongqing University, China

Xiaogang Lin He earned his B.E. degree in Precision Instrument from Xi’an Technological University in 1998, followed by his M.A.Eng and Ph.D. degrees in Optical Engineering from Chongqing University in 2003 and 2008, respectively. Dr. Lin began his career as a technician at Mingguang Instrument Factory in 1998 before transitioning to academia as a Lecturer at Chongqing University’s College of Opto-electronic Engineering in 2003. He has since risen through the ranks, becoming an Assistant Professor, Associate Professor in 2010, and Professor in 2017. His research interests focus on photoelectric biosensing, biosensors, precision testing technology, and intelligent instruments, resulting in over 40 high-quality technical publications. Dr. Lin has also served as a visiting scholar at the University of Tennessee, Knoxville, in 2014 and 2017. He is an active member of the third Council of Opto-mechatronics Technology and Systems under the China Instrument and Control Society, as well as a senior member of the society. Additionally, he is an international TRIZ Association three-level certified expert and a national second-level innovation engineer. Dr. Lin has received the first prize of the Chongqing Science and Technology Progress Award and has hosted and participated in more than 20 provincial and ministerial research projects, including significant initiatives like the National Key R&D Program of China and the National Natural Science Foundation of China.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award: Xiaogang Lin

Dr. Xiaogang Lin is an outstanding candidate for the Best Researcher Award due to his extensive academic and professional achievements in the field of optical engineering and biosensing technologies. Born in Chongqing, China, in 1975, Dr. Lin has built a remarkable career, marked by significant contributions to research and education.

Education 🎓

  • B.E. in Precise Instrument
    Xi’an Technological University, Xi’an, China (1998)
  • M.A. in Optical Engineering
    Chongqing University, Chongqing, China (2003)
  • Ph.D. in Optical Engineering
    Chongqing University, Chongqing, China (2008)

Work Experience 💼

  • Technician
    Mingguang Instrument Factory, China (1998)
  • Lecturer
    College of Opto-electronic Engineering, Chongqing University (2003)
  • Assistant Professor
    College of Opto-electronic Engineering, Chongqing University (2003 – 2010)
  • Associate Professor
    College of Opto-electronic Engineering, Chongqing University (2010 – 2017)
  • Professor
    College of Opto-electronic Engineering, Chongqing University (2017 – Present)
  • Visiting Scholar
    University of Tennessee, Knoxville, USA (2014, 2017)

Achievements 🌟

  • Over 40 high-quality technical publications in the field of optical engineering and biosensing.
  • Member of the Third Council of Opto-mechatronics Technology and Systems, China Instrument and Control Society.
  • Senior member of the China Instrument and Control Society.
  • International TRIZ Association three-level certified expert.
  • National second-level innovation engineer.

Awards and Honors 🏆

  • First Prize of Chongqing Science and Technology Progress Award
    For significant contributions to the field of optical engineering and biosensing.
  • Hosted and participated in more than 20 provincial and ministerial research projects, including:
    • National Key R&D Program of China
    • National Natural Science Foundation of China

Publication Top Notes:

A Study on Pigment Composition of Buddhist Cave Paintings Based on Hyperspectral Technology

A Perovskite Material Screening and Performance Study Based on Asymmetric Convolutional Blocks

Advancements in Chemical and Biosensors for Point-of-Care Detection of Acrylamide

ACEK Biosensor for the Minute-Scale Quantification of Breast Cancer ctDNA

An alternating current electrokinetics biosensor for rapid on-site serological screening of Taenia solium cysticercosis infection

Francesco Mercogliano | Electromagnetic Sensing System | Best Researcher Award

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Francesco Mercogliano | Electromagnetic Sensing System | Best Researcher Award

Dr. Francesco Mercogliano, University of Naples Parthenope , Italy.

Dr. Francesco Mercogliano is a dedicated PhD student in Information and Communication Technology and Engineering at the University of Naples “Parthenope,” Italy. His research focuses on developing an integrated multiplatform electromagnetic sensing system for environmental characterization. With a Master’s degree in Geology and Applied Geology and a Bachelor’s degree in Geological Sciences, Francesco has demonstrated exceptional academic prowess, achieving cum laude honors. His internships with renowned institutes, including the National Research Council and the National Institute of Geophysics and Volcanology, have further honed his skills in satellite thermal imaging and geophysical data analysis. 🌍📚💻

Publication Profile

Googlescholar

Education and Experience

  • PhD Student in Information and Communication Technology and Engineering (39th Cycle)
    University of Naples “Parthenope,” Naples, Italy (2023 – Present)

    • Research Focus: Development of an integrated multiplatform electromagnetic sensing system for environmental characterization.
  • Master’s Degree in Geology and Applied Geology (LM-74)
    University of Naples “Federico II,” Naples, Italy (2021 – 2023)

    • Grade: 110/110 cum laude
    • Thesis: Analysis of Land Surface Temperature (LST) in the Campi Flegrei caldera.
  • Bachelor’s Degree in Geological Sciences (L-34)
    University of Naples “Federico II,” Naples, Italy (2018 – 2021)

    • Grade: 110/110 cum laude
    • Thesis: Remote sensing application to detect Land Surface Temperature in volcanic regions.
  • Internships:
    • National Research Council (CNR) – Institute for Electromagnetic Sensing of the Environment (IREA) (April 2023 – June 2023)
      • Analyzed satellite thermal images for LST mapping.
    • National Institute of Geophysics and Volcanology (INGV) (May 2022 – September 2022)
      • Processed GNSS-RTK data to monitor ground deformation.
    • CNR – IREA (October 2019 – January 2020)
      • Conducted geothermal monitoring using thermal remote sensors.

Suitability For The Award

Dr. Francesco Mercogliano is an exemplary candidate for the Best Researcher Award, currently pursuing a Ph.D. in Information and Communication Technology and Engineering at the University of Naples “Parthenope.” His research focuses on developing an integrated electromagnetic sensing system for environmental characterization, showcasing his commitment to innovation. With top honors in both his Master’s and Bachelor’s degrees from the University of Naples “Federico II,” and hands-on experience at the National Research Council and the National Institute of Geophysics and Volcanology, Francesco’s academic excellence and technical skills position him as a promising researcher in environmental science.

Professional Development

Francesco Mercogliano has actively pursued professional development through hands-on internships and research projects in prestigious organizations such as the National Research Council (CNR) and the National Institute of Geophysics and Volcanology (INGV). His work includes analyzing satellite thermal images for land surface temperature mapping and monitoring ground deformation using GNSS-RTK data. Proficient in MATLAB, Python, and remote sensing techniques, Francesco combines his technical skills with a strong foundation in geology to contribute meaningfully to environmental studies. His dedication to advancing knowledge in geosciences exemplifies his commitment to professional excellence and innovation. 🌱🔍📊

Research Focus

Francesco Mercogliano’s research focuses on developing integrated electromagnetic sensing systems for environmental characterization. His work emphasizes the use of advanced remote sensing technologies to analyze land surface temperature, particularly in volcanic regions like the Campi Flegrei caldera. By employing methods such as Independent Component Analysis (ICA), Francesco aims to identify thermal anomalies that can inform geological studies and risk assessment. His interdisciplinary approach combines principles of geology, remote sensing, and data analysis, contributing significantly to environmental monitoring and understanding of geological phenomena. 🌋📈💡

Awards and Honors

  • Research Internship Recognition at the National Research Council (CNR) 🌟
  • Outstanding Contribution Award at National Institute of Geophysics and Volcanology (INGV) 🌌

Publication Top Notes

  • Thermal Patterns at the Campi Flegrei Caldera Inferred from Satellite Data and Independent Component Analysis (2024) 📡🌋
  • Remote detection of Thermal Anomalies at Campi Flegrei caldera via Independent Component Analysis (ICA) (2024) 🔍📊
  • Airborne Synthetic Aperture Radar and Electromagnetic Technologies of the Italian Earth Observation Platform ITINERIS  (2024) ✈️🛰️
  • Multiparametric and Multiplatform Detection of Ongoing Unrest Processes in Active Resurgent Calderas: A Case Study of the Campi Flegrei Caldera (2024) 🌍⚠️

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