Prof. Xinhua Wang | Gas Pipeline Awards | Best Researcher Award

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Prof. Xinhua Wang | Gas Pipeline Awards | Best Researcher Award 

Prof. Xinhua Wang, Beijing University of Technology, China

Professor Wang Xinhua is a distinguished expert in fluid engineering, pipeline safety, and intelligent detection technologies. He serves as a professor and doctoral supervisor at Beijing University of Technology and has been recognized as a key talent in Beijing’s trans-century talent training and education enhancement plans. His extensive research spans intelligent detection and safety evaluation for oil and gas pipelines, fluid power transmission, electromechanical servo drive systems, tribology, and surface engineering. He has authored influential publications in high-impact journals and received multiple national-level awards, including several first prizes from the State Administration of Work Safety and the China Petroleum and Chemical Industry Association. Professor Wang holds leadership roles in numerous professional societies and serves on the editorial board of Surface Technology. He teaches a wide range of undergraduate and graduate courses and actively contributes to national innovation in smart pipeline monitoring systems, IoT-based infrastructure, and advanced hydraulic technologies.

Professional Profile:

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Summary of Suitability: Prof. Wang Xinhua – Research for Best Researcher Award

Prof. Wang Xinhua is an exemplary candidate for the Research for Best Researcher Award, recognized for his groundbreaking work in fluid engineering, corrosion science, and pipeline inspection technologies. With a distinguished academic and professional track record, he has consistently contributed to both scientific innovation and industrial safety, particularly within the oil and gas sector.

🎓 Education & Work Experience

  • 👨‍🏫 Professor and Doctoral Supervisor at Beijing University of Technology

  • 📚 Selected in:

    • Trans-Century Talent Training Project of Beijing Municipality (2003)

    • Talents Strengthening Education Plan of Beijing Municipal Administered Colleges and Universities

  • 🧪 Extensive research and teaching experience in:

    • Fluid Transmission & Control

    • Electromechanical Servo Drive Technology

    • Oil and Gas Pipeline Intelligent Detection & Safety Evaluation

    • Intelligent Sensors and IoT-based Urban Pipeline Systems

  • 📘 Courses taught:

    • Fluid Transmission and Control

    • Electromechanical Interface Technology

    • Modern Control Engineering

    • Electrohydraulic Servo Control

    • Pipeline Detection Technology

🏆 Major Achievements

  • 🛠️ Developed advanced inspection & damage detection technologies for oil & gas pipelines without removing cladding

  • 📈 Published multiple high-impact research papers in journals such as Measurement, Insight, and Journal of Plastic Film & Sheeting

  • 🌐 Serves as:

    • Vice Secretary, Zhongguancun Oil & Gas Innovation Alliance

    • Executive Director, Chinese Society for Corrosion and Protection

    • Council Member in multiple national engineering and technology committees

    • Editorial Board Member, Surface Technology journal

🎖️ Awards & Honors

  • 🏅 First Prizes:

    • Safe Production Science & Technology Achievement Award – State Administration of Work Safety (2011, 2009)

    • Science & Technology Progress Award – China Petroleum and Chemical Industry Association (2011)

    • China Standard Innovation Contribution Award – State Standardization Administration Commission (2020)

  • 🥈 Second Prizes:

    • Inspection Science & Technology Achievement Awards – AQSIQ (2014, 2007)

  • 🥉 Third Prizes:

    • Inspection Science & Technology Achievement Awards – AQSIQ (2012, 2016)

  • 🎓 Teaching & Professional Excellence:

    • Honorary Title: Young and Middle-Aged Backbone Teachers of Beijing Municipality (2006)

    • Outstanding Contribution Prize – ZhongGuancun Optoelectronic Industry Association (2015)

    • Excellent Editorial Board Member – Surface Technology Journal (2019 & 2020)

Publication Top Notes:

First-principles exploration of layer-dependent physical properties in vanadium-based MXene

Pipeline leak detection through implementation of empirical mode decomposition and cluster analysis

 

Mr. Tomi Paalosmaa | Digital City Awards | Best Researcher Award

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Mr. Tomi Paalosmaa | Digital City Awards | Best Researcher Award 

Mr. Tomi Paalosmaa, Vaasa University of Applied Sciences (VAMK), Finland

Tomi Paalosmaa is a Finnish innovation strategist, project manager, and researcher with a diverse professional background spanning smart city development, sustainability, and innovation ecosystems. Currently serving as a Senior Specialist, Project Manager, and Lecturer at the Design Centre MUOVA, Vaasa University of Applied Sciences, he leads co-creation initiatives and sustainability strategies in projects such as Design PSS and Enertelligence. His academic work focuses on energy transition, digitalization, stakeholder engagement, and trust in innovation ecosystems. With prior experience at the University of Vaasa’s InnoLab and City of Vaasa, he has contributed significantly to projects involving smart mobility, low-carbon strategies, and citizen engagement. A passionate advocate for mental health, Paalosmaa also lectures as an expert by experience in mental healthcare. Earlier in his career, he held executive roles in the Nordic film distribution industry. His interdisciplinary expertise bridges technology, design, policy, and community well-being, making him a unique contributor to both academic and applied innovation landscapes.

Professional Profile:

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Summary of Suitability: Tomi Paalosmaa – Research for Best Researcher Award

Tomi Paalosmaa is a highly versatile and impactful candidate for the Research for Best Researcher Award, distinguished by his multifaceted contributions to innovation ecosystems, smart city development, sustainability strategies, and user-centered co-creation in both public and private sector research environments. With a unique blend of academic insight, applied research, and practical innovation leadership, his work embodies the integration of research excellence with societal relevance.

🎓 Education

  • Doctoral Researcher (Ongoing)
    University of Vaasa – Innovation and ecosystem development, sustainability, energy transition, smart cities, co-creation, stakeholder engagement
    (Publications being written at JUFO level)

💼 Work Experience

🏛️ Academia & Research

  • Senior Specialist / Project Manager / Lecturer
    Design Centre MUOVA, Vaasa University of Applied Sciences (VAMK) | 2023–Present

    • Project Manager: 🇫🇮 Design PSS (Finnish Government), Enertelligence (EAKR), Port of Vaasa Innovation Ecosystem

    • Lecturer: Course on co-creation in innovation ecosystems (2025→)

    • Academic writer and ecosystem developer

  • Project Researcher
    University of Vaasa – InnoLab | 2022–2023

    • Research on transition risks, smart governance, trust-building, stakeholder co-creation

    • Port of Vaasa Innovation Ecosystem (POINT VaaSA)

🏙️ Public Sector & Smart City Development

  • Project Manager – Development
    City of Vaasa | 2021–2022

    • Developed EV car-sharing “Mini-Lifti”, smart mobility and energy projects

    • Applied for EU & national funding (Horizon, Interreg, Business Finland)

  • Project Manager & Coordinator
    City of Vaasa | 2020–2021

    • IRIS Smart Cities project replication & smart district planning

  • Internal Auditor & Quality Developer
    City of Vaasa | 2018–2020

    • Social services auditing and development work

🧠 Mental Health Advocacy

  • Expert by Experience
    Vaasa Central Hospital & Ostrobothnia Well-being Services County | 2016–Present

    • Delivered lectures, peer support, and therapy group facilitation in mental health fields

🎬 Creative & Media Industry

  • CEO / CCO / Director of Acquisitions
    Various film & media companies (Helsinki/Vaasa) | 2004–2015

    • Acquired and distributed international film rights across Nordic platforms

    • Managed VOD and digital film businesses globally

🏆 Achievements, Awards & Honors

  • 🥇 Innovation Scholarship – Ministry of Industry and Information Technology (2019)

  • 🧠 Recognized contributor in smart city innovation, stakeholder engagement, and co-creation practices

  • 📣 Speaker and workshop leader at conferences and development forums

  • 💬 Mental health lecturer and peer support contributor in Finnish healthcare system

  • 💼 Leader in public-private partnership development and sustainable innovation ecosystems

Publication Top Notes:

Smart Cities and Product-Service Systems—A Conceptual Framework for Urban Sustainability

Dr. Xiaofei Yang | Remote Sensing Awards | Best Researcher Award

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Dr. Xiaofei Yang | Remote Sensing Awards | Best Researcher Award

Dr. Xiaofei Yang, Guangzhou University, China

Dr. Xiaofei Yang is a lecturer at the School of Electronic and Communication Engineering, Guangzhou University, with a strong research background in artificial intelligence, remote sensing, image classification, and deep learning. He earned his Ph.D. in Computer Software and Theory from Harbin Institute of Technology in 2019 and completed postdoctoral research at the University of Macau, where he focused on hyperspectral image classification and 3D image reconstruction. Dr. Yang has authored 27 peer-reviewed publications, including 11 in IEEE Transactions journals—six as first author—and two Web of Science highly cited papers. His work has been presented at prestigious international conferences such as IJCNN, and he actively serves as a reviewer for top-tier journals including IEEE TGRS and TNNLS. His recent projects span cloud detection, terrain classification, plant disease diagnosis, and typhoon path prediction using deep learning. Recognized with the Innovation Scholarship by the Ministry of Industry and Information Technology in 2019, Dr. Yang continues to contribute to cutting-edge research in remote sensing and AI applications.

Professional Profile:

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Summary of Suitability: Dr. Xiaofei Yang – Research for Best Researcher Award

Dr. Xiaofei Yang is an outstanding candidate for the Research for Best Researcher Award, recognized for his impactful contributions to artificial intelligence, remote sensing, and deep learning applications. With a strong academic foundation from the Harbin Institute of Technology and advanced research experience as a postdoctoral fellow at the University of Macau, Dr. Yang has emerged as a leading figure in intelligent image processing and computational modeling.

🎓 Education

  • Ph.D. in Computer Software and Theory
    Harbin Institute of Technology, Shenzhen, China
    March 2014 – October 2019

  • M.Sc. in Computational Mathematics
    Harbin Institute of Technology, Shenzhen, China
    August 2011 – January 2014

💼 Work Experience

  • Lecturer, Guangzhou University, China 🇨🇳
    March 2023 – Present

  • Postdoctoral Fellow, University of Macau 🇲🇴
    September 2021 – February 2023

    • Focus: Hyperspectral image classification using deep learning

  • Trainee, Zhuhai-UM Institute
    May 2021 – August 2021

    • Research on hyperspectral image classification

  • Postdoctoral Fellow, University of Macau
    September 2020 – April 2021

    • Research on 3D image reconstruction

  • Trainee, Peng Cheng Laboratory, Shenzhen 🇨🇳
    October 2019 – August 2020

    • Developed new open-source algorithm for image processing

🏆 Achievements

  • 📄 27+ publications in top journals and conferences, including:

    • 11 IEEE Transactions papers (6 as first author)

    • 2 papers highly cited by Web of Science

  • 🧠 Expert in:

    • Artificial Intelligence

    • Hyperspectral Image Classification

    • Remote Sensing

    • Deep Learning and Transformer Networks

  • 🗣️ Conference Presentations:

    • IJCNN 2019 (Hungary)

    • GSKI 2017 (Thailand)

  • 👨‍🏫 Teaching:

    • Courses at the University of Macau Master’s Program in deep learning and computer vision

  • 📚 Peer Reviewer for Top Journals:

    • IEEE TNNLS, TGRS, GRSL, Signal Processing Letters, and more

🥇 Awards & Honors

  • 🏅 Innovation Scholarship, Ministry of Industry and Information Technology (2019)

  • 🎓 Outstanding Graduate Student, Harbin Institute of Technology (2014)

Publication Top Notes:

Balancing supply and demand for ride-hailing: A preallocation hierarchical reinforcement learning approach

Global–local prototype-based few-shot learning for cross-domain hyperspectral image classification

MDFFN: Multi-Scale Dual-Aggregated Feature Fusion Network for Hyperspectral Image Classification

Spectral-Spatial Attention Transformer Network for Hyperspectral Image Classification

ACTN: Adaptive Coupling Transformer Network for Hyperspectral Image Classification

 

Dr. Svetlana von Gratowski | Polar Sensing Awards | Women Researcher Award

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Dr. Svetlana von Gratowski | Polar Sensing Awards | Women Researcher Award 

Dr. Svetlana von Gratowski, Kotel’nikov Institute of Radioengineering and Electronics Russian Academy of Sciences, Russia

Dr. Sci. Svetlana von Gratowski is a distinguished physicist specializing in solid-state and soft matter physics, with a Doctor of Science degree from the Institute of Radio Engineering and Electronics of the Russian Academy of Sciences (IRE RAS) following her graduation from Moscow State University with a diploma in Physics. Currently a leading researcher at IRE RAS and principal investigator at Innowledement GmbH, Germany, she has made pioneering contributions across diverse fields including magnetism, spintronics, superconductivity, multiferroics, nanophotonics, MEMS, and non-invasive sensing technologies. Dr. von Gratowski has led or co-led over 25 national and international research projects and authored more than 120 scientific papers. She is an internationally recognized speaker with over 160 presentations, including plenary and keynote talks, and serves on advisory and editorial boards of several journals. She is actively involved in international scientific collaborations and conference organization, and serves as a visiting docent at universities in China and Russia. Her work bridges fundamental research and advanced nano-technological applications.

Professional Profile:

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Summary of Suitability: Dr. Sci. Svetlana von Gratowski – Research for Women Researcher Award

Dr. Sci. Svetlana von Gratowski stands as an exceptional candidate for the Research for Women Researcher Award, owing to her decades-long, internationally recognized contributions to solid-state physics, nanotechnology, and interdisciplinary applications of condensed matter science. With a profound academic foundation from Moscow State University and a Doctor of Science degree from the prestigious Institute of Radio Engineering and Electronics (IRE RAS), she embodies scientific excellence, leadership, and innovation.

🎓 Education

  • Moscow State University (Lomonosov)

    • 🎓 Diploma in Physics

  • Institute of Radio Engineering and Electronics, Academy of Sciences of the USSR (IRE RAS)

    • 🧪 Ph.D. equivalent (Doctor of Science) in Solid State Physics

    • 🎓 Completed post-graduate research in theoretical and applied solid-state physics

💼 Work Experience

  • IRE RAS (Institute of Radio Engineering and Electronics, Russian Academy of Sciences)
    📍 1984–Present
    🔬 Scientific Researcher → Leading Researcher

  • Innowledement GmbH, Dortmund, Germany
    📍 2011–Present
    🧠 Principal Investigator, Deputy Director

  • Academic Appointments (Visiting Docent)
    📚 Changchun University of Science and Technology (CUST), China
    📚 Sirius University, Sochi, Russia

🌍 Research Interests

  • 🧲 Magnetism, Spintronics, Spincaloritronics

  • 🧬 Superconductivity, Ferroelectrics, Multiferroics

  • 🔍 Nano-optics, Nano-photonics, Plasmonics

  • 🛠️ MEMS, Nano-tools, Nano-manipulation & Bottom-up Nano-manufacturing

  • 🌱 Non-invasive monitoring: plants, artwork, blood glucose

  • 📡 Microwave aquametry, soft matter physics, phase transitions

🏆 Achievements & Honors

  • 🧪 PI/Co-PI of 25+ national & international projects

  • 🌐 Organized 7 international conferences

  • 🎤 Delivered 18+ invited/keynote talks & 2 plenary lectures

  • ✍️ Authored 120+ peer-reviewed publications

  • 📊 Presented 160+ times at global scientific venues

  • 🧑‍⚖️ Chair/Board Member of multiple scientific conferences & journals

  • 🔎 Reviewer for 10+ international journals

  • 📘 Editorial board member in 2 international journals

🌏 International Collaborations & Invitations

  • ✈️ Invited researcher in: Italy, Spain, Romania, Portugal, China, India, Vietnam, Brazil, South Africa

Publication Top Notes:

Boosting the sensitivity and stability of microwave gas sensor for acetone detection based on SnO2/Co3O4 nanofibers and micro-heater

Study of diffusion length of individual ZnO nanowire

Photo-to-chemical energy transformation: Pioneering photocatalysts, surface and interface engineering

Non-enzymatic electrochemical sensor based on ZnO nanoparticles/porous graphene for the detection of hypoxanthine in pork meat

Creation of the Nano-Soldering Technology for 3D Mechanical Bottomup Nano-Assembling of Individual Nanodevices

Study of the Functional Properties of Single Nanowires of ZnO for Photonic and Biochemical Nanosensors

 

Dr. Misbah Shahid | Chemistry Awards | Women Researcher Award

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Dr. Misbah Shahid | Chemistry Awards | Women Researcher Award

Dr. Misbah Shahid, Sharda University, India

Dr. Misbah Shahid is an emerging Indian chemist with a Ph.D. in Chemistry from Sharda University, Greater Noida, India. Specializing in drug design and synthesis of transition metal complexes, her research integrates experimental and computational methods to develop novel anticancer and antiparasitic agents. Her doctoral thesis explored the DNA interaction and antiproliferative activity of Schiff base ligands derived from O-vanillin. Dr. Shahid has authored several peer-reviewed publications in reputed journals such as Bioorganic & Medicinal Chemistry and New Journal of Chemistry. She has also contributed to a patent on organo-copper complexes for larvicidal use. With a year-long tenure as a Project Scientist on an ICMR-funded project focused on visceral leishmaniasis, she has demonstrated strong interdisciplinary collaboration skills. Her academic journey includes active involvement as a teaching assistant and participation in numerous conferences, seminars, and faculty development programs. Fluent in English, Kashmiri, Arabic, and Urdu, Dr. Shahid continues to contribute to medicinal and coordination chemistry with an emphasis on real-world therapeutic applications.

Professional Profile:

GOOGLE SCHOLAR

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Summary of Suitability: Dr. Misbah Shahid – Research for Women Researcher Award

Dr. Misbah Shahid is a highly promising early-career researcher whose work in medicinal and inorganic chemistry, particularly in drug design and anticancer applications, makes her an outstanding candidate for the Research for Women Researcher Award. Her PhD research focuses on the synthesis and biological evaluation of transition metal complexes with Schiff base ligands containing O-vanillin—a field of significant interest in both chemistry and pharmaceutical sciences.

🎓 Education

  • 🧪 PhD in Chemistry – Sharda University, India (Expected Oct 2024)
    🧬 Thesis: Transition metal complexes of Schiff base ligand containing O-vanillin moiety, DNA interaction, antiproliferative activities

  • ⚗️ MSc in Chemistry – Sharda University, India (2019)

💼 Work Experience

  • 🔬 Project Scientist – ICMR Funded Project, Sharda University (Feb 2024 – Jan 2025)

    • Designed novel drug molecules for visceral leishmaniasis

    • Performed in vitro screening, ADMET profiling, docking studies

    • Part of a multidisciplinary oral drug development team

  • 👩‍🏫 Teaching Assistant – Dept. of Chemistry, Sharda University (Mar 2021 – Dec 2023)

    • Conducted lab classes and theory sessions in Inorganic Chemistry

    • Organized workshops and student seminars

🏆 Achievements & Contributions

  • 📝 7+ Peer-reviewed Publications in reputed journals like Bioorganic & Medicinal Chemistry, Polyhedron, New J. Chem., Sensors International

  • 🧠 Research Focus:

    • Medicinal Chemistry, Anticancer Drug Design

    • Transition Metal Complexes

    • Molecular Docking & ADMET

  • ⚒️ Technical Skills:

    • ChemDraw, ChemSketch, Mercury, Origin, SwissADME, JMP Statistics

  • 💡 Patent Filed:

    • Organo-copper complex for larvicidal use (202311010155)

🏅 Awards & Honors

  • 🧬 Conference Presentations at national and international levels (ICOE, NCETMC, ICEAM, ICSEM)

  • 🎤 Seminar Participation:

    • National Seminar on Applied Research (2022, 2023)

    • Workshop on Photoluminescence Spectroscopy (2024)

    • FDP on Strengthening Academic & Research Pursuits (Guru Angad Dev TLC)

Publication Top Notes:

CITED:6
CITED:2
CITED:1
CITED:0
CITED:0

Assoc. Prof. Dr. Shayesteh Tabatabaei | Routing Data | Best Researcher Award

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Assoc. Prof. Dr. Shayesteh Tabatabaei | Routing Data | Best Researcher Award

Assoc. Prof. Dr. Shayesteh Tabatabaei, University of Saravan, Iran

Dr. Shayesteh Tabatabaei is an accomplished Associate Professor in the Department of Computer Engineering at the Higher Education Complex of Saravan, Iran. Born in Tabriz, East Azarbayjan, she holds Iranian nationality and currently resides in Saravan, Sistan Baluchestan. She earned her Ph.D. in Computer Engineering from Tehran Science and Research University in 2015, with a dissertation focused on developing intelligent routing protocols for mobile ad-hoc networks. With a strong academic foundation supported by M.Sc. and B.Sc. degrees in Computer Engineering from Islamic Azad University of Shabestar, Dr. Tabatabaei has established herself as a prominent researcher in wireless sensor networks, mobile ad-hoc networks, IoT, and intelligent optimization algorithms. Recognized among the top 2% of scientists worldwide in 2024, she has consistently been honored as a top researcher at various institutions. Dr. Tabatabaei is also an active educator, teaching advanced computing subjects at both undergraduate and postgraduate levels, and has organized numerous national workshops on IoT, wireless networks, and academic writing. She has presented her research at prestigious conferences across Iran and internationally, contributing extensively to fields such as energy-efficient routing and intelligent clustering in sensor networks. She is proficient in several programming languages and simulation tools, and her dedication to academic excellence continues to influence Iran’s growing tech and research community.

Professional Profile:

GOOGLE SCHOLAR

ORCID

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Summary of Suitability – Best Researcher Award: Dr. Shayesteh Tabatabaei

Dr. Shayesteh Tabatabaei is an accomplished academician and a highly qualified candidate for the Best Researcher Award, recognized globally among the Top 2% of Scientists Worldwide in 2024. As an Associate Professor in the Department of Computer Engineering at the Higher Education Complex of Saravan, Iran, her work demonstrates exceptional depth in both research and teaching within computer engineering and intelligent systems.

🎓 Education

  • Ph.D. in Computer Engineering (2010–2015)
    Tehran Science and Research University, Tehran, Iran
    📌 Dissertation: A New Intelligent Routing Protocol for Mobile Ad-Hoc Networks
    🎯 GPA: 18.63 / 20.00
    👨‍🏫 Supervisor: Dr. M. Teshnehlab

  • M.Sc. in Computer Engineering (2007–2009)
    Islamic Azad University of Shabestar, Iran
    📌 Thesis: Improving the AODV Routing Protocol Using Reinforcement Learning
    🎯 GPA: 18.69 / 20.00
    👨‍🏫 Supervisor: Dr. M.A. Jabraeil Jamali

  • B.Sc. in Computer Engineering (2002–2006)
    Islamic Azad University of Shabestar, Iran
    🎯 GPA: 17.12 / 20.00

💼 Work Experience

  • Associate Professor
    Department of Computer Engineering, Higher Education Complex of Saravan, Iran
    📌 Teaching graduate and undergraduate courses in Artificial Intelligence, Advanced Databases, Distributed Systems, Operating Systems, Networking, Programming (C/C++, Visual Studio), HTML, and more.
    🏫 Also taught at Sistan Baluchestan University and Islamic Azad Universities in Bonab, Malekan, Miyandoab, Miyaneh, and Zahedan.

🏆 Achievements, Awards & Honors

  • 🥇 Among the Top 2% Scientists Worldwide (2024)

  • 🏅 Top Researcher Awards:

    • Islamic Azad University of Malekan Branch (2011, 2016, 2017)

    • Higher Education Complex of Saravan (2019, 2021, 2022)

  • 🧠 Organizer of Prestigious Workshops:

    • Wireless Networks Workshops (2014, 2016)

    • ISI Article Writing Workshops (2019, 2021, 2022)

    • IoT Workshops (2020, 2022)

  • 📚 Presenter at Multiple International Conferences:

    • IEEE, ISC, IFIP, and national conferences in Tehran, Tbilisi, Ardabil, Istanbul, and Babol

    • Topics include Wireless Sensor Networks, Clustering Algorithms, Energy Optimization, and Bioinformatics

Publication Top Notes:

New energy efficient management approach for wireless sensor networks in target tracking using Vortex Search Algorithm

WITHDRAWN: A Novel method of routing in multi-channel multi-radio wireless mesh networks

An energy-aware protocol in wireless sensor networks using the scattered search algorithm and fuzzy logic

A Fault-Tolerant Clustering Approach for Target Tracking in Wireless Sensor Networks

A new model for evaluating the impact of organizational culture variables on the success of knowledge management in organizations using the TOPSIS multi-criteria algorithm: Case study

A Novel Method for Energy Efficiency in Internet of Thing (IoT) through Fuzzy Logic and Genetic-Algorithm-Based Clustering applied for Agriculture Monitoring

Cat swarm optimization-based energy efficient target tracking in wireless sensor network

EOR screening using optimized artificial neural network by sparrow search algorithm

Well placement optimization with a novel swarm intelligence optimization algorithm: Sparrow Search Algorithm

Dr. Mingliang Zheng | Mechanical Sensors | Best Researcher Award

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Dr. Mingliang Zheng | Mechanical Sensors | Best Researcher Award 

Dr. Mingliang Zheng, huainan normal university, China

Dr. Zheng Mingliang is a distinguished professor at the School of Mechanical and Electrical Engineering, Huainan Normal University, Huainan, China. He earned his Ph.D. in Mechanical and Control Engineering from Zheng Sci-Tech University, Hangzhou, in 2018. His primary research interests span the interdisciplinary fields of mathematics and mechanics, dynamics, and image processing. Dr. Zheng has made significant contributions to his areas of expertise, with over fifty academic papers published as the first author. His consistent scholarly output reflects his dedication to advancing theoretical and applied research. He is recognized for his academic rigor and his role in mentoring young researchers. Dr. Zheng’s research excellence and leadership make him a strong candidate for the Research for Best Researcher Award.

Professional Profile:

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Summary of Suitability – Best Researcher Award: Dr. Zheng Mingliang

Dr. Zheng Mingliang is a distinguished academic and highly suitable candidate for the Best Researcher Award, demonstrating a robust track record in interdisciplinary research and academic excellence. With a Ph.D. in Mechanical and Control Engineering from Zheng Sci-Tech University (2018), he currently serves as a professor at the School of Mechanical and Electrical Engineering, Huainan Normal University, where he contributes to both foundational and applied sciences.

👨‍🎓 Education

  • 🎓 Ph.D. in Mechanical and Control Engineering
    Zheng Sci-Tech University, Hangzhou, China
    📅 Graduated in 2018

👨‍🏫 Work Experience

  • 🏫 Professor
    School of Mechanical and Electrical Engineering
    Huainan Normal University, Huainan 232038, China
    📧 Email: liangmingzheng@hnnu.edu.cn
    🔗 ORCID: 0000-0001-5681-0051

🧠 Research Interests

  • 📐 Mathematics and Mechanics

  • ⚙️ Dynamics

  • 🖼️ Image Processing

🏆 Achievements

  • ✍️ Published over 50 academic papers as first author in peer-reviewed journals

  • 📊 Significant contributions to interdisciplinary fields combining mathematical modeling, mechanical analysis, and image computation

🎖️ Awards and Honors

  • 🏅 Recognized for high-impact research publications (specific awards not mentioned; subject to user update if available)

  • 📚 Often cited in research related to mechanical systems and computational imaging

Publication Top Notes:

R 0 estimation for COVID-19 pandemic through exponential fit.

Symmetries and Invariant Solutions for the Coagulation of Aerosols

Numerical Simulation of Condensation Heat Transfer and Structural Optimization in Dryer of Paper Machine

Quantitative analysis for the spread range of malignant tumor based on Lie symmetry

Lie symmetries and conserved quantities of the singular mechanico-electrical coupling systems

Noether symmetries and conserved quantities of fractional nonconservative singular systems

Study on symmetries and conserved quantities of mechanical multibody system collision dynamics

The noether theorem for nonlinear optimal control problems of mechanical multibody system dynamics

Prof. Hui Xue | Electro Catalysis Awards | Best Researcher Award

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Prof. Hui Xue | Electro Catalysis Awards | Best Researcher Award 

Prof. Hui Xue, Inner Mongolia University, China

Dr. Hui Xue is an Associate Professor at the School of Chemistry and Chemical Engineering, Inner Mongolia University, specializing in inorganic chemistry and electrocatalytic nanomaterials. She earned her Ph.D. from the Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, and has been deeply involved in the development of interface-engineered catalysts for energy conversion processes such as oxygen evolution and ammonia synthesis. Dr. Xue has led and contributed to numerous National Natural Science Foundation projects, focusing on MNC composite catalysts, spinel/clay functional materials, MOF-based systems, and near-infrared fluorescence probes. Her work has been published in prestigious journals including Green Chemistry, Chemical Engineering Journal, and ACS Applied Materials & Interfaces, with several papers recognizing her as co-corresponding author. She has also received regional funding and presented at major national conferences. Dr. Xue’s research emphasizes interface microenvironment modulation and defect engineering, contributing significantly to advancements in electrocatalysis and environmental remediation.

Professional Profile:

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Summary of Suitability for the Best Researcher Award:

Dr. Xue Hui is an exceptional candidate for the Best Researcher Award, with significant contributions to the fields of inorganic chemistry, electrocatalysis, and nanomaterials engineering. As an Associate Professor at Inner Mongolia University, Dr. Xue has demonstrated a consistent trajectory of research excellence, innovation, and collaborative impact in cutting-edge areas of sustainable energy and catalysis.

🎓 Education

  • 📍 Ph.D. in Inorganic Chemistry (2012.09 – 2017.06)
    Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences

  • 📍 B.Sc. in Chemistry (2008.09 – 2012.06)
    Inner Mongolia University for Nationalities

🧑‍🏫 Work Experience

  • 🏫 Associate Professor (2022.01 – Present)
    Inner Mongolia University, School of Chemistry and Chemical Engineering

  • 🧪 Lecturer (2017.07 – 2021.12)
    Inner Mongolia University, School of Chemistry and Chemical Engineering

🧬 Research Projects & Achievements

  • 🧪 Principal Investigator of National Natural Science Foundation Youth Project (2023–2025)
    “Post-modified MNC oxygen reduction catalyst”

  • 🔬 Participant in 6 additional NSFC projects from 2021–2025, covering fields such as photocatalysis, electrocatalysis, wastewater treatment, and antibacterial materials

  • 🧱 Inner Mongolia NSFC General Project (2024–2026):
    “Controllable construction of MNC composite catalysts” – Host

  • 📄 Published in leading journals:
    Green Chemistry, Chemical Engineering Journal, ChemComm, ACS Applied Materials & Interfaces, Chinese Chemical Letters

  • ✍️ Co-corresponding author of multiple peer-reviewed articles on interface modulation, heterojunctions, and catalytic nanomaterials

🏅 Academic Awards & Honors

  • 🌟 Co-corresponding author in internationally recognized journals

  • 🧑‍🔬 Presenter:
    “Defect construction and electronic structure regulation of electrocatalytic nanomaterials” – 5th Academic Conference on New Energy Materials and Devices of China, 2023

  • 🧑‍🏫 Active contributor to national and regional scientific advancements in electrocatalysis and nanomaterial engineering

Publication Top Notes:

Activating Inert Palmeirite Through Co Local-Environment Modulation and Spin Electrons Rearrangement for Superior Oxygen Evolution

Triggered Directed Electron Redistribution Endowed by Efficient Ohmic Contacts of NiMoN/Ni3S2 for Boosting Large Current-Density Overall Seawater Splitting

The 3d-4f electron transition of the CoS2/CeO2 heterojunction for efficient oxygen evolution

 

Assoc. Prof. Dr. Zhoujie Wu | Optical Metrology Awards | Best Researcher Award

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Assoc. Prof. Dr. Zhoujie Wu | Optical Metrology Awards | Best Researcher Award 

Assoc. Prof. Dr. Zhoujie Wu, Sichuan University, China

Dr. Wu Zhoujie is an Associate Researcher and Master Supervisor in Optical Engineering at the School of Electronic Information, Sichuan University. Specializing in computational optical measurement and sensing, Dr. Wu has made significant contributions to the development of advanced optical detection technologies tailored to the strategic needs of modern manufacturing. His work includes pioneering structured light-based 3D morphology, deformation, and strain measurement systems, with successful applications in intelligent SMT inspection under national-level initiatives. He has led six national or provincial research projects and contributed to several others, earning more than 1,300 citations, an h-index of 20, and recognition as one of the world’s top 2% scientists in 2024. His research has been widely published in leading journals such as Light: Advanced Manufacturing and Photonics Research, with multiple works featured as cover papers or highlighted by international optics societies. Dr. Wu has received prestigious honors including the Wang Daheng Optics Award and serves on editorial boards and professional committees in the field of optical engineering, reflecting his leadership and innovation in computational optics.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for the Best Researcher Award:

Dr. Wu Zhoujie is an outstanding candidate for the Best Researcher Award, demonstrating a rare blend of theoretical excellence, technological innovation, and real-world application in the field of computational optical measurement and optomechanics. With a strong academic trajectory and a clear focus on national strategic needs in advanced manufacturing and sensing, his research has reshaped how precision optical measurements are approached and applied in critical industrial settings.

🎓 Education

  • 🧠 2016.09 – 2021.06
    Ph.D. in Optical Engineering, Sichuan University

  • 🎓 2012.09 – 2016.06
    Bachelor’s in Electronic Science and Technology, Sichuan University

  • 🌏 2020.10 – 2020.11
    Visiting Scholar, Beijing University of Aeronautics and Astronautics

💼 Work Experience

  • 🧑‍🏫 2024.09 – Present
    Associate Researcher & Master Supervisor, School of Electronic Information, Sichuan University

  • 🧪 2022.05 – 2024.08
    Full-Time Associate Researcher, Sichuan University

  • 🧑‍🔬 2021.07 – 2022.04
    Assistant Researcher, Sichuan University

🏆 Achievements

  • 📊 Over 20 SCI papers published in top journals including Light: Advanced Manufacturing, Photonics Research, and Optics Letters

  • 📈 More than 1,300 Google Scholar citations with an h-index of 20

  • 🖼️ 3 journal cover papers in Optics Express

  • 🌟 Research selected as:

    • “Image of the Week” 🖼️ by the Optical Society of America (2 times)

    • Editors’ Pick ✍️ in leading journals

    • 5 times cover articles in Chinese optical journals

  • 🧪 Developed a full system for 3D morphology, strain, and deformation detection

  • 🧠 Host/PI for 6+ national/provincial projects including NSFC Youth Fund and postdoctoral programs

  • 🔧 Applied for 14 national patents, 6 authorized

🥇 Awards & Honors

  • 🌍 2024: Selected among the World’s Top 2% Scientists

  • 🏅 2021: Wang Daheng Optics Award, Chinese Optical Society

  • 🥈 2023: Innovation Paper Nomination Award, Chinese Society of Optical Engineering

  • 🎓 2021: Outstanding Doctoral Dissertation Nominee, Sichuan University

  • 💼 2025: Sichuan University Teaching Scholarship, “Three Faith” Award

  • 🧒 2024: Outstanding Young Editorial Board Member, Infrared and Laser Engineering

  • 🧑‍🏫 2024: Outstanding Class Teacher, Sichuan University

  • ✍️ 2023: Outstanding Reviewer, Optica Publishing Group

Publication Top Notes:

CITED:177
CITED:145
CITED:129
CITED:124
CITED:56
CITED:54

Dr. Barbara Cardone | Heat Island Awards | Innovative Research Award

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Dr. Barbara Cardone | Heat Island Awards | Innovative Research Award 

Dr. Barbara Cardone, University of Naples Federico II, Italy

Barbara Cardone is a researcher in Computer Science (INF/01) at the Department of Architecture, University of Naples Federico II, Italy. With a strong interdisciplinary background in architecture and computational intelligence, she specializes in the integration of Geographic Information Systems (GIS) and fuzzy logic models for urban planning and decision support. Her academic journey includes a Ph.D. focused on GIS-based decision tools for building valuation and several advanced research projects exploring computational intelligence in GIS environments. Dr. Cardone has contributed to national research initiatives such as the PNRR-funded FAIR project on future artificial intelligence and has led efforts in constructing extensive spatial databases for urban municipalities like Naples and Pozzuoli. Her research focuses on applying fuzzy multi-criteria decision frameworks, emotion classification from social media, and geocomputational analysis to address urban complexity, infrastructure planning, and sustainable development.

Professional Profile:

GOOGLE SCHOLAR

ORCID

SCOPUS

Summary of Suitability for the Innovative Research Award:

Dr. Barbara Cardone stands out as a highly deserving candidate for the Innovative Research Award due to her pioneering interdisciplinary work at the intersection of computer science, GIS technologies, urban planning, and computational intelligence. Her research has continually introduced novel methods and tools to support sustainable urban development, digital spatial analysis, and smart city planning.

🎓 Education

  • 2013 – Ph.D. in Evaluation Methods for Integrated Conservation, Recovery, Maintenance and Management of Architectural, Urban and Environmental Heritage, University of Naples Federico II
    📘 Thesis: GIS as a decision support tool for improving building OMI estimation

  • 2005 – Postgraduate Course in Geographic Information Systems for Urban and Complex Systems Management, University of Naples Federico II

  • 2003 – Master’s Degree in Architecture, University of Naples Federico II – Score: 107/110
    🗺 Thesis: Geostatistical analysis of Naples districts

💼 Work Experience

  • 2023–Present – RTDA Researcher in Computer Science (INF/01), Dept. of Architecture, University of Naples Federico II
    📌 Project: FAIR – Future Artificial Intelligence Research (PNRR/NRRP – M4C2 – PE1 FAIR)

  • 2019–2020 – Research Project: Computational intelligence algorithms in GIS for urban planning
    🧠 Focus on fuzzy-based models in GIS for emotion analysis, land classification, and urban planning

  • 2018–2019 – Research Fellow, University of Naples Federico II
    🗃 GIS databases for the Municipality of Pozzuoli

  • 2016 – Scholarship holder, METROPOLIS Project
    🏙 GIS-based estimation of urban building volumes in Naples

  • 2010–2013 – Research Fellow, Geo-computational database for infrastructure management
    🛠 Urban spatial analysis for decision support

🏆 Achievements

  • Developed fuzzy decision-making GIS frameworks for urban and environmental planning

  • Built one of the largest spatial databases for the Municipality of Pozzuoli

  • Applied computational intelligence in urban systems, merging AI with GIS

  • Significant contributor to Italy’s FAIR AI Research Program funded by the NRRP

🥇 Awards & Honors

  • 🚀 FAIR (Future Artificial Intelligence Research) – PE1: Part of a prestigious national PNRR-funded research initiative (CUP: E63C22002150007)

  • 🧩 Recognized for interdisciplinary work integrating AI, GIS, architecture, and urban systems

  • 📍Lead researcher in several strategic urban intelligence and infrastructure management projects

Publication Top Notes:

A New GIS-Based Detection Technique for Urban Heat Islands Using the Fuzzy C-Means Clustering Algorithm: A Case Study of Naples, (Italy)

A Fuzzy-Based Model to Detect Hotspots of Air Pollutants During Heatwaves in Urban Settlements

Multidimensional Fuzzy Transforms with Inverse Distance Weighted Interpolation for Data Regression

Multidimensional Fuzzy Transforms with Inverse Distance Weighted Interpolation for Data Regression

An Emotion Detection GIS-Based Framework for Evaluating Exposure to Heatwave Scenarios in Urban Settlements During a Pandemic

A Fuzzy-Based Model to Detect Hotspots of Air Pollutants During Heatwaves in Urban Settlements

A GIS-Based Framework to Analyze the Behavior of Urban Greenery During Heatwaves Using Satellite Data