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

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 journalsโ€”six as first authorโ€”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:

SCOPUS

ORCID

Summary of Suitability: Dr. Xiaofei Yang โ€“ 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.

๐ŸŽ“ Education

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

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

๐Ÿ’ผ Work Experience

  • Lecturer, Guangzhou University, China ๐Ÿ‡จ๐Ÿ‡ณ
    March 2023 โ€“ Present

  • Postdoctoral Fellow, University of Macau ๐Ÿ‡ฒ๐Ÿ‡ด
    September 2021 โ€“ February 2023

    • Focus: Hyperspectral image classification using deep learning

  • Trainee, Zhuhai-UM Institute
    May 2021 โ€“ August 2021

    • Research on hyperspectral image classification

  • Postdoctoral Fellow, University of Macau
    September 2020 โ€“ April 2021

    • Research on 3D image reconstruction

  • Trainee, Peng Cheng Laboratory, Shenzhen ๐Ÿ‡จ๐Ÿ‡ณ
    October 2019 โ€“ August 2020

    • Developed new open-source algorithm for image processing

๐Ÿ† Achievements

  • ๐Ÿ“„ 27+ publications in top journals and conferences, including:

    • 11 IEEE Transactions papers (6 as first author)

    • 2 papers highly cited by Web of Science

  • ๐Ÿง  Expert in:

    • Artificial Intelligence

    • Hyperspectral Image Classification

    • Remote Sensing

    • Deep Learning and Transformer Networks

  • ๐Ÿ—ฃ๏ธ Conference Presentations:

    • IJCNN 2019 (Hungary)

    • GSKI 2017 (Thailand)

  • ๐Ÿ‘จโ€๐Ÿซ Teaching:

    • Courses at the University of Macau Masterโ€™s Program in deep learning and computer vision

  • ๐Ÿ“š Peer Reviewer for Top Journals:

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

๐Ÿฅ‡ Awards & Honors

  • ๐Ÿ… Innovation Scholarship, Ministry of Industry and Information Technology (2019)

  • ๐ŸŽ“ Outstanding Graduate Student, Harbin Institute of Technology (2014)

Publicationย Top Notes:

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

Globalโ€“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

 

Prof. Dr. Daniela Dragoman | Plasmonic Sensor Awards | Best Researcher Award

Prof. Dr. Daniela Dragoman | Plasmonic Sensor Awards | Best Researcher Award

Prof. Dr. Daniela Dragoman, University of Bucharest, Romania

Dr. Daniela Dragoman is a distinguished Romanian physicist and University Professor at the University of Bucharest, where she has been a faculty member since 1990 and a Doctoral Supervisor since 2004. With a Ph.D. in Physics from the University of Limerick, Ireland, and a Dipl. Physics Eng. degree from the University of Bucharest, her expertise spans guided wave optics, nanostructures, quantum computing, and optoelectronic devices. Dr. Dragoman has served as Director of the Doctoral School of Physics since 2011 and has held prestigious research positions in France and Germany, including as an Alexander von Humboldt Fellow and Directeur de Recherche at LAAS-CNRS. Her teaching portfolio covers both undergraduate and postgraduate levels, including courses in nonlinear optics, solar energy materials, and integrated optoelectronics. An accomplished researcher and mentor, she is recognized for her leadership in academic and international research environments.

Professional Profile:

GOOGLE SCHOLAR

SCOPUS

Summary of Suitability for Best Researcher Award โ€“ Prof. Daniela Dragoman

Prof. Daniela Dragoman stands out as a highly accomplished and deserving candidate for the Best Researcher Award due to her long-standing academic excellence, leadership in doctoral education, and influential research in the fields of optoelectronics, nanostructures, and quantum physics.

๐Ÿ‘ฉโ€๐Ÿซ Work Experience

  • University Professor (Feb 2001โ€“Present) โ€“ University of Bucharest, Romania

    • ๐ŸŽ“ Director, Doctoral School of Physics (since 2011)

    • ๐Ÿ‘ฉโ€๐Ÿ”ฌ Doctoral Supervisor (since 2004)

    • ๐Ÿ“š MSc Courses: Quantum Computing, Nanostructures, Nonlinear Optics, Solar Energy Materials, etc.

    • ๐Ÿง‘โ€๐Ÿซ BSc Courses: Solid State Physics (English)

  • Lecturer / Assistant Lecturer (Oct 1990โ€“Jan 2001) โ€“ University of Bucharest

    • ๐Ÿ“˜ Courses: Advanced Optoelectronic Devices, Solid State Optoelectronics

  • Physics Engineer (Oct 1989โ€“Sept 1990) โ€“ IRNE, PiteลŸti

    • ๐Ÿ”ฌ Research in pyroelectric devices

  • Visiting Professor & Researcher

    • ๐Ÿ‡ซ๐Ÿ‡ท CNRS, Saint-Etienne (1997, 2000) โ€“ Research in optics

    • ๐Ÿ‡ฉ๐Ÿ‡ช Alex. von Humboldt Fellow, Univ. Mannheim (1998โ€“1999, 2001โ€“2002) โ€“ Optoelectronics

    • ๐Ÿ‡ซ๐Ÿ‡ท Directeur de Recherche, LAAS-CNRS, Toulouse (2008โ€“2010) โ€“ Nanostructures

๐ŸŽ“ Education

  • Ph.D. in Physics (1993) โ€“ University of Limerick, Ireland ๐Ÿ‡ฎ๐Ÿ‡ช

    • ๐Ÿ“ก Specialization: Guided wave optics, modeling of fiber couplers

  • Dipl. Physics Engineer (MSc Equivalent) (1989) โ€“ University of Bucharest, Romania ๐Ÿ‡ท๐Ÿ‡ด

    • ๐ŸŒŒ Focus: Semiconductors, optics, general physics

๐Ÿ† Achievements & Honors

  • ๐ŸŽ– Alex. von Humboldt Fellowship โ€“ Prestigious research grant (Germany)

  • ๐ŸŒ International recognition in optoelectronics, nanostructures, and quantum physics

  • ๐Ÿ—ฃ Taught and collaborated in multinational research environments (France, Germany, Ireland)

  • ๐Ÿง‘โ€๐Ÿ”ฌ Directed numerous Ph.D. students and research teams

  • ๐Ÿ“˜ Contributed significantly to advanced education and curriculum development in quantum and nano sciences

Publicationย Top Notes:

Field-effect transistors based on nickel oxide doped with nitrogen semiconductor ferroelectrics for ultralow voltage switch (1 ฮผV), low subthreshold swing and memory

Electric-Field-Induced Metal-Insulator Transition for Low-Power and Ultrafast Nanoelectronics

Graphene Monolayer Nanomesh Structures and Their Applications in Electromagnetic Energy Harvesting for Solving the Matching Conundrum of Rectennas

Room-temperature current modulation by an Y junction in graphene/hexagonal boron nitride

Quantum Graphene Asymmetric Devices for Harvesting Electromagnetic Energy

Demonstration of Microwave Harvesting Through Pyroelectricity in Cryogenic Conditions: A Quantum-to-Experimental Approach

Subthreshold slope below 60 mV/decade in graphene transistors induced by channel geometry at the wafer-scale

On the Transmission Line Analogy for Modeling Plasmonic Nanowire Circuits

Assoc. Prof. Dr. Dinh Khoi Phan | Ultrasonic Sensor Awards | Best Researcher Award

Assoc. Prof. Dr. Dinh Khoi Phan | Ultrasonic Sensor Awards | Best Researcher Award

Assoc. Prof. Dr. Dinh Khoi Phan, Can Tho University, Vietnam

Dr. Dinh Khoi Phan is an Associate Professor and Dean of the Faculty of Finance and Banking at Can Tho University, Viet Nam, where he has been actively contributing to academia since 2003. He holds a Ph.D. in Finance from Lincoln University, New Zealand (2013), a Master of Management from the University of the Philippines (2003), and a B.Sc. in Finance from Can Tho University (1999). His research spans rural finance, economic development, development finance, banking, behavioral finance, and cryptocurrency. Dr. Phan has led and participated in numerous government-funded research projects focused on agricultural policy, SME support, risk management in rice crop insurance, and smart city development in the Mekong River Delta. He is also the author and co-author of several books and book chapters addressing financial systems and socio-economic development in Vietnam. Through his leadership, academic work, and practical contributions, Dr. Phan has become a prominent figure in Vietnamโ€™s financial research and policy landscape.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award โ€“ Dr. Dinh Khoi Phan

Dr. Dinh Khoi Phan is an accomplished scholar and academic leader whose research spans finance, rural development, and economic transformation in the Mekong River Delta. With a Ph.D. in Finance from Lincoln University, New Zealand, and over two decades of academic and policy-driven research experience, he exemplifies the qualities sought in a Best Researcher Award recipient.

๐ŸŽ“ Education

  • ๐Ÿ“˜ Ph.D. in Finance โ€“ Lincoln University, Canterbury, New Zealand (April 2013)

  • ๐Ÿ“— Master of Management โ€“ University of the Philippines, Los Baรฑos (June 2003)

  • ๐Ÿ“• B.Sc. in Finance โ€“ Can Tho University, Viet Nam (September 1999)

๐Ÿ‘จโ€๐Ÿซ Work Experience

  • ๐Ÿง‘โ€๐Ÿซ Associate Professor & Dean, Faculty of Finance and Banking, Can Tho University (2020โ€“present)

  • ๐Ÿ“š Lecturer, Department of Finance and Banking, Can Tho University (2012โ€“present)

  • ๐Ÿ“– Lecturer, Department of Economics, Can Tho University (2005โ€“2012)

  • ๐Ÿ“– Lecturer, Agricultural Economics, Can Tho University (2003โ€“2005)

  • ๐Ÿ”ฌ Research Assistant & ๐Ÿ‘จโ€๐Ÿซ Teaching Assistant, Commerce Division, Lincoln University (2011)

๐Ÿ† Achievements & Recognitions

  • ๐Ÿ“– Published Author of multiple Vietnamese books on finance and economics

  • ๐Ÿ“˜ Led and contributed to 9 major research projects focused on rural development, insurance, SMEs, and smart city planning in the Mekong Delta

  • ๐Ÿ’ผ Policy Influence through development strategies funded by national and provincial governments

  • ๐ŸŒฑ Specialized in microfinance, economic development, and agricultural risk management in Southeast Asia

Publicationย Top Notes:

Dirichlet Mixed Process Integrated Bayesian Estimation for Individual Securities

Predictors of Return on Assets and Return on Equity for Banking and Insurance Companies on Vietnam Stock Exchange

Asymmetries in responses of commercial banks in a transitional economy to countercyclical monetary policy: The case of Romania

The Transmission Mechanism of Russian Central Banks Countercyclical Monetary Policy since 2011: Evidence from the Interest Rate Pass-Through

The impact of microcredit on rural households in the Mekong River Delta of Vietnam

Formal and informal rural credit in the Mekong River Delta of Vietnam: Interaction and accessibility

 

Dr. Vera Solovyeva | Environmental Detectors | Women Researcher Award

Dr. Vera Solovyeva | Environmental Detectors | Women Researcher Awardย 

Dr. Vera Solovyeva, Aramco Innovations, Russia

Dr. Vera A. Solovyeva is a seasoned chemist and Technology Thrust Champion at Aramco Innovations LLC, with over 20 years of international academic and industrial research experience in organic chemistry, material science, and nanomaterials. She holds a Ph.D. in Organic Chemistry from Moscow State University and has an impressive track record spanning medicinal chemistry, catalysis, and metal-organic frameworks (MOFs) synthesis and scale-up. Dr. Solovyeva has contributed to innovative projects at leading institutions such as Eli Lilly, Novartis, KAUST, and Aramco Innovations, where she led multiple field-deployed oil and gas applications. Her expertise encompasses organic synthesis, heterogeneous catalysis, and advanced analytical techniques, with a strong focus on developing sustainable materials for energy and environmental solutions. Recognized internationally, she has published impactful research highlighted by ACS and JACS, reflecting her commitment to advancing smart and functional nanomaterials.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Women Researcher Award: Dr. Vera A. Solovyeva

Dr. Vera A. Solovyeva stands out as an exceptionally qualified candidate for the Women Researcher Award based on her extensive, multidisciplinary, and globally recognized contributions to the fields of nanomaterials, catalysis, and sustainable energy technologies. With over 20 years of research experience across both academia and industryโ€”including prestigious organizations such as KAUST, Aramco Innovations, and top pharmaceutical companies like Eli Lilly and Novartisโ€”she exemplifies the ideal balance of scientific rigor and applied innovation.

๐Ÿง‘โ€๐ŸŽ“ Education

๐ŸŽ“โ€ฏPh.D. in Organic Chemistry โ€” Moscow State University (MSU), Russia (2002โ€“2007)
โ€ƒโ€ข Thesis: โ€œPartial Hydrodehalogenation of Functional Derivatives of gem-Dibromocyclopropanesโ€
๐ŸŽ“โ€ฏM.S. in Chemistry โ€” Moscow State University (MSU), Russia (1997โ€“2002)
โ€ƒโ€ข Undergraduate research under supervision of Prof. I.G. Bolesov and Academician I.P. Beletskaya
๐Ÿงช Internship โ€” University of Pennsylvania (UPenn), USA (Janโ€“Feb 1999)
โ€ƒโ€ข Biochemistry techniques training

๐Ÿ’ผ Work Experience

๐Ÿขโ€ฏTechnology Thrust Champion โ€” Aramco Innovations LLC (2019โ€“Present)
โ€ƒโ€ข Lead projects in upstream oil & gas; 3 successful field deployments
๐Ÿ”ฌ Senior Research Scientist โ€” Moscow State University & Institute of Bioorganic Chemistry (2018โ€“2019)
โ€ƒโ€ข Research in covalent-organic frameworks for photovoltaic applications
๐Ÿ”ฌ Consultant โ€” KAUST Technology Transfer Office, Saudi Arabia (2016โ€“2017)
โ€ƒโ€ข Pilot-scale synthesis of MOFs
๐Ÿ”ฌ Postdoctoral Fellow โ€” KAUST, Saudi Arabia (2011โ€“2016)
โ€ƒโ€ข Research on MOFs, catalysis, and nanoparticle stabilization
๐Ÿงช Senior Research Scientist โ€” Chemical Diversity Research Institute, Moscow (2007โ€“2011)
โ€ƒโ€ข Contract R&D for pharma giants (Eli Lilly, Novartis, Merck, Solvay)
๐Ÿงฌ Editor โ€” Science & Technology Informational (STI) Centre for Reaxys/Elsevier (2005โ€“2011)
๐Ÿ’ป Research Scientist โ€” Algodign LLC (2002โ€“2005)
โ€ƒโ€ข Drug design and molecular docking for startup by Nobel Laureate Michael Levitt

๐Ÿ† Awards & Honors

๐Ÿ‡บ๐Ÿ‡ธโ€ฏ1999 โ€“ Internship Award from University of Pennsylvania ๐Ÿฅผ
๐Ÿ‡ท๐Ÿ‡บโ€ฏ2004 โ€“ Best Organic Chemistry Presentation at Lomonosov Conference ๐Ÿงช
๐ŸŒโ€ฏ2003โ€“2005 โ€“ Ph.D. project awarded INTAS individual funding (EU-Russia scientific cooperation)
๐Ÿ“ฐโ€ฏ2014 โ€“ Paper highlighted on Front Cover of ACS Comb. Sci. ๐Ÿงฌ
๐Ÿ“ฃโ€ฏ2015 โ€“ ACS Editorsโ€™ Choice article and featured in C&EN (ACS Comb. Sci.) ๐Ÿงซ
โœจโ€ฏ2015 โ€“ JACS paper highlighted as Spotlight Publication ๐Ÿ’ก

Publicationย Top Notes:

MOF Crystal Chemistry Paving the Way to Gas Storage Needs: Aluminum-Basedย soc-MOF for CH4, O2, and CO2ย Storage

CITED:835

Metalโ€“organic frameworks to satisfy gas upgrading demands: fine-tuning the soc-MOF platform for the operative removal of H 2 S

CITED:121

Hydrocarbon recovery using ultra-microporous fluorinated MOF platform with and without uncoordinated metal sites: I-structure properties relationships for C2H2/C2H4 and CO2ย โ€ฆ

CITED:86

A very large diversity space of synthetically accessible compounds for use with drug design programs

CITED:43

Sequence-controlled copolymers of 2, 3, 4, 5-pentafluorostyrene: mechanistic insight and application to organocatalysis

CITED:40

Current downhole corrosion control solutions and trends in the oil and gas industry: A review

CITED:38

 

Prof. Dr. Elisa Gonzรกlez-Romero | Environmental | Best Researcher Award

Prof. Dr. Elisa Gonzรกlez-Romero | Environmental | Best Researcher Awardย 

Prof. Dr. Elisa Gonzรกlez-Romero, Universidade de Vigo, Spain

Prof. Elisa Gonzรกlez-Romero is a Full Professor of Analytical and Food Chemistry at the University of Vigo, Spain, where she has served since 1993. She previously held academic positions at the Universidad de Vigo (Orense), the Universidad Autรณnoma de Madrid, and taught at CES NUMEN College. Her academic background includes a Ph.D. in Analytical Chemistry and Instrumental Analysis and a graduate degree in Chemistry from Universidad Autรณnoma de Madrid, complemented by a postdoctoral research stay at New Mexico State University in the U.S. Prof. Gonzรกlez-Romeroโ€™s professional expertise spans analytical techniques, food chemistry, and sensor development, and she has held research and quality control roles in industry. She is an active member of several prominent scientific societies, including the American Chemical Society, the Real Sociedad Espaรฑola de Quรญmica, and the Sociedad Espaรฑola de Quรญmica Analรญtica. She has also held visiting professorships at institutions in Portugal, Morocco, and Tunisia, and has received international recognition such as being named among the IBC Leading Scientists of the World. Her work continues to influence both the academic and applied sectors of analytical science.

Professional Profile:

ORCID

GOOGLE SCHOLAR

โœ… Summary of Suitability for Best Researcher Award โ€“ Dr. Elisa Gonzalez-Romero

๐Ÿงช Research Focus and Contributions:
Dr. Elisa Gonzalez-Romero has made sustained, high-impact contributions in the fields of electroanalysis, biosensors, bionanotechnology, and modified electrodes. Her research applies advanced electrochemical and biochemical methodologies to address real-world problems in environmental, food, and clinical sciences, demonstrating a rare ability to bridge theory and practical application.

๐Ÿ‘ฉโ€๐ŸŽ“ Education

  1. ๐ŸŽ“ Ph.D. in Analytical Chemistry
    Universidad Autรณnoma de Madrid, Spain
    ๐Ÿ“… 1989-11-15
    ๐Ÿ“˜ Specialization: Quรญmica Analรญtica y Anรกlisis Instrumental

  2. ๐ŸŽ“ Graduate in Chemistry
    Universidad Autรณnoma de Madrid, Spain
    ๐Ÿ“… 1983-06-01
    ๐Ÿ“˜ Focus: Analytical Chemistry and Instrumental Analysis

  3. ๐Ÿงช Postdoctoral Researcher
    New Mexico State University, USA
    ๐Ÿ“… 1990-10-01 to 1992-07-28
    ๐Ÿ”ฌ Laboratory: Sensor-Chip Lab

๐Ÿ’ผ Work Experience

  1. ๐Ÿ‘ฉโ€๐Ÿซ Full Professor (Analytical and Food Chemistry)
    Universidad de Vigo, Pontevedra, Spain
    ๐Ÿ“… 1993-05-07 to Present

  2. ๐Ÿ‘ฉโ€๐Ÿซ Associate Professor (Interim)
    Universidad de Vigo, Orense, Spain
    ๐Ÿ“… 1991-09-31 to 1993-05-06

  3. ๐Ÿ‘ฉโ€๐Ÿซ Assistant Professor (Analytical Chemistry & Instrumental Analysis)
    Universidad Autรณnoma de Madrid, Spain
    ๐Ÿ“… 1986-09-01 to 1991-10-01

  4. ๐Ÿ”ฌ Researcher โ€“ Quality Control
    Alcon Iberhis SA, Madrid, Spain
    ๐Ÿ“… 1985-01-01 to 1986-09-29

  5. ๐Ÿง‘โ€๐Ÿซ Instructor in Analytical Chemistry
    CES NUMEN College, Madrid, Spain
    ๐Ÿ“… 1983-09-01 to 1986-07-31

๐ŸŒ Visiting Professor Positions

  • ๐Ÿ› Universitรฉ Abdelmalek Essaadi, Morocco (2015)

  • ๐Ÿ› Universidade do Minho, Portugal (2010โ€“2014)

  • ๐Ÿ› Tunis El Manar University, Tunisia (2011)

๐Ÿ† Awards and Distinctions

  • ๐Ÿฅ‡ IBC Leading Scientists of the World
    International Biographical Centre, London, UK
    ๐Ÿ“… 2013-10-11

  • ๐ŸŒ People to People Citizen Ambassador Fellowship
    American Oil Chemists’ Society, USA โ€“ Fats and Oils Technology Delegation to China
    ๐Ÿ“… 2010-08

๐Ÿง‘โ€๐Ÿ”ฌ Professional Memberships

  • ๐Ÿงช Real Sociedad Espaรฑola de Quรญmica (Electrochemistry & Bioanalytical Chemistry Divisions)

  • ๐Ÿงช American Chemical Society (Analytical Chemistry & Agricultural and Food Chemistry Divisions)

  • ๐Ÿงช Sociedad Espaรฑola de Quรญmica Analรญtica

  • ๐Ÿ—ณ RSEQ-ST GA, Spain โ€“ Former Board Member (2002โ€“2020)

Publicationย Top Notes:

Enhanced Catalytic Surfaces for Catechol Sensing: Combining Grafted Aryldiazonium Derivative with Cross-Linking Dopamine or Coupling Tyrosinase Immobilizations

Voltammetric methodology for the quality control and monitoring of sulfamethoxazole removal from water

Biosensor Technologies for Water Quality: Detection of Emerging Contaminants and Pathogens

Getting Enhanced Catalytic Surfaces for Catechol Sensing! Combination of Grafted Aryldiazonium Derivative and Either Cross-Linking Dopamine or Coupling Tyrosinase Immobilizations

Decorated Electrode Surfaces with Nanostructures and Metal-Organic Frameworks as Transducers for Sensing

A Carbon Paste Electrode Modified by Bentonite and lโ€Cysteine for Simultaneous Determination of Ascorbic and Uric Acids: Application in Biological Fluids

Methodology for decentralized analysis: Detection, quantification and in situ monitoring of pharmaceutical formulations removal by electro-Fenton

Influence of Metal Salts Addition on Physical and Electrochemical Properties of Ethyl and Propylammonium Nitrate

Novel Pyridazin-3(2H)-one-Based Guanidine Derivatives as Potential DNA Minor Groove Binders with Anticancer Activity

Prof. Kheibar Dashtian | Sensing | Best Researcher Award

Prof. Kheibar Dashtian | Sensing | Best Researcher Awardย 

Prof. Kheibar Dashtian, Materials and Energy Research Center, Iran

Dr. Kheibar Dashtian, Ph.D. in Analytical Chemistry from Iran University of Science and Technology, is a renowned expert in photo/spectro-electrochemistry, stimuli-responsive nanomaterials, and related fields. With over 150 ISI-indexed publications and an impressive h-index of 53, Dr. Dashtian is highly regarded in the scientific community, having delivered 15 invited seminars and contributed 15 book chapters to scientific literature. He has been recognized with several prestigious awards, including the 24th Kharazmi Youth Festival Award and a ranking among the top 57 leading scientists in Iran in 2023. His contributions to research have earned him recognition as a Highly Cited ISC Scientist and ISI Scientist. Dr. Dashtian is a visiting lecturer at Iran University of Science and Technology and Yasouj University, and he has supervised 45 MSc graduates and 10 PhD graduates. With a keen focus on material development and device fabrication, he has developed systems such as gas sensing devices, microfluidic platforms, and photoelectrochemical systems. Additionally, he holds two patents pending and has made significant contributions to intellectual property. Dr. Dashtian is also actively involved in numerous research collaborations and has completed five postdoctoral research fellowships. He serves on the editorial boards of four ISI-indexed scientific journals and has reviewed over 300 scientific papers.

Professional Profile:

GOOGLE SCHOLAR

SCOPUS

๐Ÿ† Summary of Suitability for Best Researcher Award

Dr. Kheibar Dashtian demonstrates extraordinary merit as a researcher in analytical chemistry, with a strong record of scientific innovation, publication, and academic leadership. His accomplishments reflect a rare blend of depth, impact, and consistency across various dimensions of modern research. The following highlights support his high suitability for the Research for Best Researcher Award.

Education ๐ŸŽ“:

  • Ph.D. in Analytical Chemistry
    Yasouj University, Iran (Sep 2014 – Jun 2019)
    Research in nanomaterial preparation and applications in sensing and wastewater treatment.
    Thesis: “Design and preparation of photoelectrochemical biosensors based on the junction of optically active nanostructured semiconductors and polymers for the determination of biological compounds and Cr(VI) ion.”

  • M.Sc. in Analytical Chemistry
    Iran University of Science and Technology, Tehran, Iran (Sep 2012 – Sep 2014)
    Research on the synthesis, surface modification, and applications of mesoporous SBA-15 for optical sensors.
    Thesis: “Design of optical sensors for determination and removal of heavy metals (Ce, La, Pb, Pr) from aqueous media.”

  • B.Sc. in Applied Chemistry
    Iran Payam Noor University, Gachsaran Branch, Iran (Sep 2008 – Feb 2011)
    Research on Chemistry and Oil Technology.

Work Experience ๐Ÿ’ผ:

  • Visiting Lecturer
    Iran University of Science and Technology & Yasouj University
    Delivering lectures in the field of analytical chemistry and nanomaterials.

Achievements ๐Ÿ†:

  • Publications: Over 150 ISI-indexed articles with an h-index of 53, i10-index of 117, and citations exceeding 7,700.

  • Presentations: Delivered 15 invited seminars at national and international conferences.

  • Book Chapters: Contributed 15 invited chapters to scientific books.

  • Peer Review: Reviewed over 300 scientific papers for more than 100 ISI-indexed journals.

  • Supervision: Advisor to 45 MSc graduates and 10 PhD graduates.

  • Research Collaboration: Involved in 5 major research projects.

Awards & Honors ๐Ÿ…:

  • 24th Kharazmi Youth Festival Award ๐Ÿ†

  • Ranked among the top 57 leading scientists in Iran (2023) ๐Ÿ‡ฎ๐Ÿ‡ท

  • Highly Cited ISC Scientist (Top 1%, ESI-recognized, 2019โ€“2023) ๐ŸŒŸ

  • Highly Cited ISI Scientist (Top 2%, ESI-recognized, 2019โ€“2023) ๐ŸŒŸ

  • Researcher of the Year award recipient in Yasouj, Iran ๐Ÿฅ‡

Intellectual Property ๐Ÿ’ก:

  • 2 patents pending related to gas sensing devices, electrospray pyrolysis systems, and microfluidic platforms.

Editorial Roles ๐Ÿ“š:

  • Editorial board member of 4 ISI-indexed scientific journals.

  • Referee for scientific papers across various journals.

Publicationย Top Notes:

Carbon dot-ZIF-67-infused tragacanth hydrogel films: leveraging tunable luminescence through displacement mechanisms for anthrax detection

Recent advancements in biosensors for diagnosis of ovarian cancer: Analytical approaches

Biological Ce/Fe-metal organic framework multifunctional nanozyme-based colorimetric sensor array for multi-analyte detection in human sweat

Transformative personalized oxalate biomarker analysis through a wrist-worn microneedle device integrated with duplex nanozyme toolbox

Molecularly imprinted polymer based on MIL-101 (Cr) MOF incorporated polyvinylidene for selective adsorption and separation dye with improved antifouling properties

Dispersive micro-solid phase extraction coupled with spectrophotometric using (MgFe CLDH)/GO magnetically separable sorbent for pre-concentration of anionic food dyes in water samples

CoMoO4ย nano-architecture-based supercapacitors: Tunable properties, performance optimization, and prospective applications

Prof. Dr. Yinwei Li | Radar Remote Sensing | Best Researcher Award

Prof. Dr. Yinwei Li | Radar Remote Sensing | Best Researcher Awardย 

Prof. Dr. Yinwei Li, University of Shanghai for Science and Technology, China

Dr. Yinwei Li is a Professor at the University of Shanghai for Science and Technology, specializing in radar detection and terahertz imaging. He received his Ph.D. from the University of Chinese Academy of Sciences in 2014 and earned his Bachelor’s degree from the University of Electronic Science and Technology of China in 2009. Dr. Li began his career at the Shanghai Radio Equipment Research Institute, where he served as an Engineer and later as a Senior Engineer from 2014 to 2019. He joined the University of Shanghai for Science and Technology in 2019 as an Associate Professor and was promoted to Professor in 2024. Actively engaged in the academic community, Dr. Li has been a reviewer for prominent journals including IEEE TGRS, IEEE J-STARS, IEEE GRSL, and the IEEE Sensors Journal. He is a member of IEEE and the Chinese Institute of Electronics and serves as a communications review expert for the National Natural Science Foundation of China. His contributions continue to advance the frontiers of imaging and detection technologies.

Professional Profile:

ORCID

๐Ÿ† Summary of Suitability โ€“ Best Researcher Award

Prof. Yinwei Li is an exceptionally qualified candidate for the Best Researcher Award, with an outstanding academic and professional trajectory in advanced radar detection and terahertz imaging technologies. Holding a Ph.D. from the prestigious University of Chinese Academy of Sciences, Prof. Li has consistently demonstrated research excellence across both academic and industry settings.

๐ŸŽ“ Education Background

  • ๐Ÿ“š Bachelorโ€™s Degree
    University of Electronic Science and Technology of China
    Sept 2005 โ€“ July 2009

  • ๐ŸŽ“ Ph.D. in Radar/Imaging Technologies
    University of Chinese Academy of Sciences
    Sept 2009 โ€“ July 2014

๐Ÿ’ผ Work Experience

  • ๐Ÿ‘จโ€๐Ÿซ Professor
    University of Shanghai for Science and Technology
    July 2024 โ€“ Present

  • ๐Ÿ‘จโ€๐Ÿซ Associate Professor
    University of Shanghai for Science and Technology
    April 2019 โ€“ June 2024

  • ๐Ÿง‘โ€๐Ÿ”ง Senior Engineer
    Shanghai Radio Equipment Research Institute
    Aug 2017 โ€“ March 2019

  • ๐Ÿง‘โ€๐Ÿ’ป Engineer
    Shanghai Radio Equipment Research Institute
    Aug 2014 โ€“ July 2017

๐Ÿ… Achievements & Honors

  • ๐Ÿ›ฐ๏ธ Contributed significantly to radar detection and terahertz imaging technologies

  • ๐Ÿ“ Reviewer for prestigious journals like IEEE TGRS, IEEE J-STARS, GRSL, and Sensors Journal

  • ๐Ÿง  Expert Reviewer for the National Natural Science Foundation of China (2017โ€“Present)

  • ๐ŸŒ IEEE Member since 2016

  • ๐ŸŽ–๏ธ Member of the Chinese Institute of Electronics since 2015

Publicationย Top Notes:

A Novel Deep Unfolding Network for Multi-Band SAR Sparse Imaging and Autofocusing

A Hierarchical Feature Fusion and Attention Network for Automatic Ship Detection From SAR Images

A Two-Step Motion Compensation Method for Polar Format Images of Terahertz SAR Based on Echo Data

An Adaptive Nonlinear Phase Error Estimation and Compensation Method for Terahertz Radar Imaging System

A Novel 2-D Autofocusing Algorithm for Real Airborne Stripmap Terahertz Synthetic Aperture Radar Imaging

Generalized Persistent Polar Format Algorithm for Fast Imaging of Airborne Video SAR

A Novel Multistage Back Projection Fast Imaging Algorithm for Terahertz Video Synthetic Aperture Radar

 

Prof. Manish Thakur | Environmental Monitoring Awards | Best Researcher Award

Prof. Manish Thakur | Environmental Monitoring Awards | Best Researcher Awardย 

Prof. Manish Thakur, CSIR- Central Food Technological Research Institute, Mysore, India

Prof. M.S. Thakur is a distinguished scientist and academician with over 40 years of experience in research and development. He currently serves as the Professor and Head of the Bioengineering Research Centre and the Advanced Research Centre for Clean and Green Energy at Nitte Meenakshi Institute of Technology, Bangalore. Prior to this, he held prominent positions, including Chief Scientist and Director Grade (Retd.) at CSIR-Central Food Technological Research Institute (CFTRI), Mysore, and Head of the Fermentation Technology and Bioengineering Department at CSIR-CFTRI. He also contributed to academia as a Visiting Professor at Mysore University and Mangalore University (2014-2016).

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Best Researcher Award

Prof. M.S. Thakur is highly suitable for the Best Researcher Award based on his extensive contributions to research and development in bioengineering, clean energy, biotechnology, and biosensor technologies. Here are the key factors supporting his candidacy

๐ŸŽ“ Education & Work Experience

  • Current Position: Professor & Head, Bioengineering Research Centre & Advanced Research Centre for Clean and Green Energy, Nitte Meenakshi Institute of Technology, Bangalore.
  • Former Positions:
    • ๐Ÿ… Chief Scientist & Director Grade (Retd.), CSIR-CFTRI, Mysore.
    • ๐Ÿงช Head, Fermentation Technology & Bioengineering Dept., CSIR-CFTRI, Mysore.
    • ๐ŸŽ“ Visiting Professor, Mysore University & Mangalore University (2014-2016).
  • International Experience:
    • ๐ŸŒ Visiting Scientist at MIT (USA), University of Maryland (USA), EPFL (Switzerland), Lund University (Sweden), Melbourne University (Australia) & more.

๐Ÿ”ฌ Research Expertise

  • ๐Ÿญ Clean & Green Energy
  • ๐Ÿ–ฅ๏ธ AI & Machine Learning for Biotechnology
  • ๐Ÿงฌ Biomolecular Electronics & Bioelectronics
  • ๐Ÿ”„ Waste Utilization
  • ๐Ÿงซ Biotechnology

๐Ÿ† Achievements & Awards

  • ๐Ÿ“œ 200+ research papers (h-index: 43) & 20 patents.
  • ๐Ÿญ Developed innovative biosensor technologies & transferred technologies to industries.
  • ๐Ÿฅ‡ Awards & Recognitions:
    • L.G. Goodho AFST Award ๐Ÿ…
    • Best Research Papers Award (2000-2004, 2008) ๐Ÿ†
    • Best Scientist Award (2009) ๐Ÿ‘จโ€๐Ÿ”ฌโœจ

โš–๏ธ Expert Committees & Board Memberships

  • ๐Ÿ‡ฎ๐Ÿ‡ณ Govt. of India Committees:
    • ๐Ÿงจ Expert Committee Member on Explosive Detection (Principal Scientific Adviser, PMO).
    • ๐Ÿ›๏ธ DST, ICMR, UGC, FSSAI โ€“ Various expert panels.
  • ๐Ÿ›๏ธ Board Memberships:
    • Board of Governors, NDRF, Institute of Engineers (India)
    • Board of Directors, Biotechnology Council, Govt. of Madhya Pradesh

Publicationย Top Notes:

CITED:727
CITED:319
CITED:281
CITED:241
CITED:199
CITED:171

Prof. Dr. Weidong Jiao | Smart Detection | Best Researcher Award

Prof. Dr. Weidong Jiao | Smart Detection | Best Researcher Awardย 

Prof. Dr. Weidong Jiao, Zhejiang Normal University, China

Dr. Weidong Jiao was born in Wafangdian, Liaoning, China, in 1970. He received his B.E. and M.E. degrees in Safety Engineering and Mechanical Engineering from Gansu University of Technology in 1992 and 2001, respectively, and earned his Ph.D. in Mechanical Engineering from Zhejiang University in 2004. From 2004 to 2009, he served as a Professor in the Mechanical Engineering Department at Jiaxing University. Since 2013, he has been a Professor at the School of Engineering, Zhejiang Normal University. Dr. Jiao has authored over 100 research articles and holds approximately 20 invention patents. His research focuses on smart testing and signal processing, mechanical dynamics, and condition monitoring and fault diagnosis of mechanical equipment. He also serves as an Editor for the Journal of Vibration, Measurement & Diagnosis.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award โ€“ Prof. Weidong Jiao

Prof. Weidong Jiao is a highly qualified candidate for the Best Researcher Award, based on his extensive contributions to mechanical engineering, fault diagnosis, and intelligent signal processing. His strong research background, innovative work, and leadership in academia make him a worthy contender for this prestigious recognition.

๐ŸŽ“ Education:

  • B.E. in Safety Engineering โ€“ Gansu University of Technology, Lanzhou (1992)
  • M.E. in Mechanical Engineering โ€“ Gansu University of Technology, Lanzhou (2001)
  • Ph.D. in Mechanical Engineering โ€“ Zhejiang University, Hangzhou (2004)

๐Ÿ’ผ Work Experience:

  • Professor, Mechanical Engineering Department, Jiaxing University (2004โ€“2009)
  • Professor, School of Engineering, Zhejiang Normal University (Since 2013)

๐Ÿ† Achievements & Contributions:

  • ๐Ÿ“š Published over 100 research articles
  • ๐Ÿ”ฌ Invented approximately 20 innovations
  • ๐Ÿ› ๏ธ Expertise in smart testing, signal processing, mechanical dynamics, condition monitoring, and fault diagnosis
  • ๐Ÿ“ Editor of Journal of Vibration, Measurement & Diagnosis

๐Ÿ… Awards & Honors:

  • ๐ŸŽ–๏ธ Recognized for contributions in mechanical engineering and diagnostics
  • ๐Ÿ… Honored for advancements in fault diagnosis and condition monitoring
  • ๐Ÿ” Acknowledged for outstanding research and academic contributions in mechanical dynamics

Publicationย Top Notes:

Compact multiphysics coupling modeling and analysis of self-excited vibration in maglev trains

Deep learning in industrial machinery: A critical review of bearing fault classification methods

Recursive prototypical network with coordinate attention: A model for few-shot cross-condition bearing fault diagnosis

Double attention-guided tree-inspired grade decision network: A method for bearing fault diagnosis of unbalanced samples under strong noise conditions

Cross-Conditions Fault Diagnosis of Rolling Bearing Based on Transitional Domain Adversarial Network

Mr. Chunhui Xu | Sensor Integration Awards | Best Researcher Award

Mr. Chunhui Xu | Sensor Integration Awards | Best Researcher Award

Mr. Chunhui Xu, Shenyang Institute of Automation, Chinese Academy of Sciences, China

Xu Chunhui is a distinguished male researcher and Master Supervisor at the Shenyang Institute of Automation, part of the Chinese Academy of Sciences. He holds a Master of Engineering and a Bachelor of Engineering from Harbin Engineering University. Xu has extensive experience in autonomous underwater vehicles (AUVs), specializing in areas such as software architecture, path planning, navigation control, and fault diagnosis. His professional journey includes roles as an Assistant Researcher and Research Intern at the Shenyang Institute, where he has made significant contributions to the field, earning several awards including the Special Prize for the Science and Technology Promotion Award of the Chinese Academy of Sciences. Xu has a robust patent portfolio with numerous inventions related to underwater robotics, including collision avoidance technologies and navigation methods. His research continues to advance the capabilities of AUVs, with a focus on applications in deep-sea exploration and resource management.

Professional Profile:

SCOPUS

Xu Chunhui for the Best Researcher Award

Xu Chunhui is a distinguished male Master Supervisor at the Shenyang Institute of Automation, Chinese Academy of Sciences. His expertise lies in autonomous underwater vehicle (AUV) technologies, particularly in software architecture, path planning, navigation control, and fault diagnosis. His extensive educational background includes a Master of Engineering and a Bachelor of Engineering from Harbin Engineering University.

Education ๐ŸŽ“

  • Master of Engineering
    Harbin Engineering University
    September 2005 โ€“ March 2008
  • Bachelor of Engineering
    Harbin Engineering University
    September 2001 โ€“ August 2005

Work Experience ๐Ÿ’ผ

  • Associate Researcher
    Shenyang Institute of Automation, Chinese Academy of Sciences
    April 2016 โ€“ Present
  • Assistant Researcher
    Shenyang Institute of Automation, Chinese Academy of Sciences
    October 2010 โ€“ March 2016
  • Research Intern
    Shenyang Institute of Automation, Chinese Academy of Sciences
    April 2008 โ€“ September 2010

Achievements ๐Ÿ†

  • Science and Technology Promotion Award of the Chinese Academy of Sciences
    Special Prize, 2021
  • 3D Real-time Collision Avoidance Technology of Autonomous Underwater Robot
    Second Prize, Provincial Level, 2019
  • Research and Application of Key Technologies for Autonomous Exploration System of Deep-sea Resources
    First Prize, Ministry Level, 2018

Publicationย Top Notes:

Applications of Autonomous Underwater Vehicle in Submarine Hydrothermal Fields: A Review

Guided Trajectory Filtering for Challenging Long-Range AUV Navigation

A fault diagnosis method with multi-source data fusion based on hierarchical attention for AUV

Ocean Temperature Prediction Based on Stereo Spatial and Temporal 4-D Convolution Model

Accurate two-step filtering for AUV navigation in large deep-sea environment

A fault diagnosis method based on attention mechanism with application in Qianlong-2 autonomous underwater vehicle