Prof. Velislava Lyubenova | Online Monitoring Awards | Best Researcher Award

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Prof. Velislava Lyubenova | Online Monitoring Awards | Best Researcher Award

Prof. Velislava Lyubenova, Bulgarian Academy of Science, Bulgaria

Professor Velislava Noreva Lyubenova is a distinguished Bulgarian researcher in the field of biotechnological systems and process control. Currently serving as the Scientific Secretary of the Institute of Robotics at the Bulgarian Academy of Sciences (IR-BAS), she also leads the Section of Mechatronic Bio/Technological Systems. With over three decades of research experience, she holds two doctoral degrees, including a Doctor of Technical Sciences, and has developed innovative methodologies for the monitoring and adaptive control of biotechnological processes. Professor Lyubenova has led or participated in more than 30 national and international research projects, including EU-funded Erasmus and Structural Fund programs. She has supervised multiple PhD students, delivered invited lectures at prestigious institutions globally, and published over 200 papers in high-impact journals. Her notable accolades include the “Marin Drinov” Young Scientist Award from BAS and memberships in international scientific organizations. A skilled communicator and academic leader, she continues to advance interdisciplinary research in bioengineering and control systems.

Professional Profile:

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ORCID

Summary of Suitability for Best Researcher Award – Prof. Velislava Noreva Lyubenova

Prof. Velislava Noreva Lyubenova exemplifies the qualities of a top-tier candidate for the Best Researcher Award, with over three decades of sustained excellence in biotechnological process monitoring and control, and a robust leadership profile in national and international R&D projects. With dual doctoral degrees (Ph.D. and Doctor of Technical Sciences) and a long-standing affiliation with the Bulgarian Academy of Sciences, she has led or participated in over 29 major research projects—spanning EU programs, Structural Funds, and academic exchanges.

🎓 Education & Qualifications

  • 🧠 Doctor of Technical Sciences, Institute of Robotics – BAS (2016)

  • 🎓 Ph.D. in Technical Sciences, TU-Sofia (1988–1993) – Dissertation on parameter estimation and state variables in biotechnological processes

  • 📡 Radio Electronics Engineer, TU-Sofia, Faculty of Radioelectronics (1982–1987)

💼 Work Experience

  • 👩‍🔬 Scientific Secretary, Institute of Robotics – BAS & Member of PNEC Technical Sciences (2022–present)

  • 👩‍🏫 Professor & Head, Section “Mechatronic Bio/technological Systems”, IR-BAS (2017–present)

  • 🧪 Associate Professor, Bioengineering, ISRI-BAS (2015–2016)

  • 🧬 Associate Professor, Section “Bioengineering”, ISIR-BAS (2010–2015)

  • 🤖 Associate Professor, Adaptive & Robust Control Section, IUSI-BAS (2005–2010)

  • 🧠 Associate Professor, Knowledge-Based Management Systems, IUSI-BAS (2000–2005)

  • 🔬 Research Fellow, Adaptive Control & Knowledge-Based Systems, IUSI-BAS (1994–2000)

  • 👩‍💻 Research Fellow, Adaptive Control Section, Bioprocessing & Automation, BAS (1992–1994)

🏆 Achievements

  • 🧪 Developed innovative technologies for monitoring and control of biotechnological processes

  • 📊 Led and participated in over 29 projects (15 international, 14 national)

  • 🧑‍🏫 Supervised 3 Ph.D. students (2 completed, 1 ongoing)

  • 🖥️ Expert in MATLAB, LABVIEW, and Microsoft Office for biotechnological control systems

  • 🌍 Delivered 21 invited lectures (15 abroad, 6 in Bulgaria)

  • 📚 Published 200+ papers, many in high-impact journals like AIMS Bioengineering and Engineering in Life Sciences

🥇 Awards & Honors

  • 🏅 Marin Drinov Young Scientist Award, General Assembly of BAS (1998)

  • 🧬 Reviewer for major journals: Journal of Bioprocess and Biosystems Engineering, Processes, etc.

  • 📝 Editorial Board Member of multiple peer-reviewed journals

  • 🧑‍🔬 Member of multiple scientific and expert committees at BAS (including examination and academic jury panels)

  • 🌐 Member of 2 international and 1 national scientific organizations

Publication Top Notes:

A System Designed for Modelling, Monitoring, and Control of Fermentation Processes, Powered by Metaheuristic Algorithms

Contemporary Bioprocesses Control Algorithms for Educational Purposes

Simultaneous State and Kinetic Observation of Class-Controllable Bioprocesses

Escherichia coli cultivation process modelling using abc-ga hybrid algorithm

Investigation of fermentation regimes for the production of low-alcohol and non-alcohol beers

Metaheuristic Algorithms: Theory and Applications

Model-based monitoring of biotechnological processes-a review

Dr. Jonathan Higham | Air Quality | Best Researcher Award

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Dr. Jonathan Higham | Air Quality | Best Researcher Award 

Dr. Jonathan Higham, The University of Liverpool, United Kingdom

Dr. Jonny Edward Higham is a Senior Lecturer in Contemporary and Dynamic Processes in the Department of Geography and Planning at the University of Liverpool. With a Ph.D. in Environmental Fluid Mechanics and an MEng in Civil & Structural Engineering from the University of Sheffield, he integrates advanced machine learning (ML) and artificial intelligence (AI) techniques—especially those rooted in linear algebra such as Singular Value Decomposition (SVD) and Proper Orthogonal Decomposition (POD)—to address critical challenges in maritime safety, environmental monitoring, and public health. Dr. Higham has led high-impact projects, including MarRI-UK-funded research that has reduced port maintenance costs and digitalized shipyard operations in partnership with Lloyd’s Register. His work on ML-based aerosol dynamics in dentistry informed NHS COVID-19 guidelines, while his deployment of a 58-sensor air quality network across Liverpool directly informs city policy. As the founder of the Liverpool Employer-Led Academy (LELA), launched in 2024, he fosters collaboration between academia and industry to enhance student employability. A recipient of multiple awards, including from the American Physical Society and the University of Liverpool, Dr. Higham has over 609 citations and more than 35 publications. He also serves as Deputy Chair of the FSE Ethics Committee and SoES Commercialisation Lead, and supervises numerous doctoral students in ML/AI research.

Professional Profile:

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GOOGLE SCHOLAR

Summary of Suitability for Best Researcher Award: Dr. Jonny Edward Higham

Dr. Jonny Edward Higham, Senior Lecturer at the University of Liverpool, is a distinguished researcher whose interdisciplinary work in machine learning (ML), artificial intelligence (AI), and environmental engineering has made a significant impact on public safety, healthcare, and environmental policy. His research excellence, practical innovation, and mentorship make him an outstanding candidate for the Best Researcher Award.

🎓 Education

  • PhD in Environmental Fluid Mechanics, University of Sheffield (2013–2016)

  • MEng in Civil & Structural Engineering, University of Sheffield (2009–2013)

  • MEng in E.T.S. de Ingeniería de Caminos, Canales y Puertos, Universidad de Granada (2012)

  • Fellow of the Higher Education Academy (2016)

  • Currently pursuing Senior Fellowship of the Higher Education Academy

💼 Work Experience

  • 👨‍🏫 Senior Lecturer, Department of Geography and Planning, University of Liverpool (2018–Present)

    • Led £190k MarRI-UK project using ML and SVD for nearshore bathymetry, cutting port costs by 15%

    • Principal Investigator for £30k MarRI-UK Digital Shipyard project using AI in shipbuilding with Lloyd’s Register

    • Developed YOLOv8-based boulder detection model (78% accuracy) for maritime navigation

    • Engineered ML models for aerosol dynamics during COVID-19, contributing to NHS protocols

    • Installed 58-sensor air quality network across Liverpool, influencing city policy

    • Founded and leads Liverpool Employer-Led Academy (LELA), launched 2024

    • Supervises 10 PhD students (4 completed, 6 ongoing)

    • Deputy Chair of FSE Ethics, SoES Commercialisation Lead

  • 🧪 Oakridge Research Fellow, National Energy Technology Laboratories, U.S. Department of Energy (2016–2018)

    • Applied ML and linear algebra for granular flow analysis, laying groundwork for maritime and environmental innovations

🏆 Awards and Honors

  • 🥇 American Physical Society Award (2020) – ML contributions to fluid mechanics

  • 🎓 School Teaching Prize, University of Liverpool (2020) – for ML-based teaching innovations

  • 💰 Faculty Teaching Development Grant, University of Liverpool (2020) – for AI-driven teaching tools

📊 Key Achievements

  • 609 Google Scholar citations

  • 35+ peer-reviewed publications

  • Established YOLOv8 models in sonar imaging and healthcare

  • Influenced NHS and Liverpool City Council with ML-driven research

  • Leads national-level MarRI-UK maritime innovation projects

Publication Top Notes:

CITED:103
CITED:70
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CITED:35
CITED:32
CITED:27

Prof. Dr. Len Gelman | Monitoring | Best Researcher Award

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Prof. Dr. Len Gelman | Monitoring | Best Researcher Award 

Prof. Dr. Len Gelman, The University of Huddersfield, United Kingdom

Professor Len Gelman is a distinguished academic and researcher in the fields of Signal Processing, Condition Monitoring, and Maintenance. He holds a PhD and Doctor of Science (Habilitation) degrees and is a Fellow of several prestigious institutions, including the British Institute of Non-Destructive Testing (BINDT), IAENG, IDE, and HEA. Since 2017, Professor Gelman has served as the Professor and Chair in Signal Processing and Condition Monitoring/Maintenance at the University of Huddersfield, where he is also the Director of the Maintenance Centre for Efficiency and Performance Engineering. Prior to this, he was a Professor at Cranfield University (2002-2017), where he established a leading research programme in vibro-acoustical condition monitoring. Professor Gelman has received numerous accolades, including the UK Rolls-Royce Innovation Award (2019), the COMADIT Prize (2017), and the Best Paper Award at the International Condition Monitoring/Maintenance Conference (2016 and 2013). With extensive experience in both academia and industry, he has developed pioneering technologies for damage detection in turbines and aircraft engines, with significant contributions to Rolls-Royce, Dresser-Rand, and Scottish Southern Energy. Professor Gelman has built strategic international partnerships with top universities and research centres across the globe, including institutions in China, Korea, the USA, and Europe. He has supervised numerous postdoctoral fellows and researchers and is renowned for his leadership in vibro-acoustical condition monitoring, a field in which he has secured over £7.3M in research grants.

Professional Profile:

SCOPUS

GOOGLE SCHOLAR

Summary of Suitability for Best Researcher Award

Professor Len Gelman is an outstanding researcher whose extensive contributions to signal processing, condition monitoring, and maintenance engineering position him as a leading figure in his field, making him an ideal candidate for the Best Researcher Award. His innovative work has consistently benefited both industry and society, earning him significant recognition and awards.

Education 🎓

  • BSc (Hons), MSc (Hons) in Signal Processing and Condition Monitoring/Maintenance

  • PhD, Doctor of Science (Habilitation) in Vibro-Acoustical Monitoring/Maintenance

Work Experience 💼

  • 2017-present
    Professor and Chair in Signal Processing and Condition Monitoring/Maintenance
    Director of the Maintenance Centre for Efficiency and Performance Engineering
    University of Huddersfield, UK

  • 2002-2017
    Professor and Chair in Vibro-Acoustical Monitoring/Maintenance
    Cranfield University, UK

Achievements 🏆

  • Led research in condition monitoring and maintenance for complex systems.

  • Built the novel “Vibro-acoustical condition monitoring of complex mechanical systems” research program at Cranfield University.

  • Recruited over 90 MSc students from various international universities for MSc studies at Cranfield.

  • Successfully gained £7.3M in research grants for research projects involving leading companies like Rolls-Royce, Caterpillar, and Shell.

  • Established strategic international partnerships with world-class universities and research centres around the globe. Monitoring

Awards and Honors 🥇

  • UK Rolls-Royce Innovation Award (2019)

  • COMADIT Prize for significant contributions to condition monitoring/maintenance (2017)

  • Rolls-Royce Engineering Award for Innovation (2012)

  • EC Fellowship Award (2015) – European Social Fund-Human Capital Operational Programme

  • Oxford Academic Health Science Network Award (2014)

  • Best Paper Award at CM/MFPT 2016 and CM/MFPT 2013

  • William Sweet Smith Prize from the UK Institution of Mechanical Engineers (2010)

  • USA Navy Award for helicopter fault diagnosis methodologies (1998)

  • Acoustical Society of America Award (1998)

Professional Recognition 🌟

  • Chairman of several international committees, including:

    • International Institute of Acoustics and Vibration (USA) (2014-2016)

    • International Society for Condition Monitoring/Maintenance (2011-2017)

    • European Federation of NDT (2014-present)

  • Editorial Board Member for renowned journals:

    • “Insight” NDT and Condition Monitoring

    • “Electronics” (MDPI)

    • “Energies” (MDPI)

    • “Prognostics and Health Management”

    • IEEE Fellow (Recognized as a leading professional in the field)

Publication Top Notes:

Novel Investigation of Influence of Torsional Load on Unbalance Fault Indicators for Induction Motors

Vibration analysis of rotating porous functionally graded material beams using exact formulation

Novel instantaneous wavelet bicoherence for vibration fault detection in gear systems

Novel prediction of diagnosis effectiveness for adaptation of the spectral kurtosis technology to varying operating conditions

Vibration health monitoring of rolling bearings under variable speed conditions by novel demodulation technique

Novel fault identification for electromechanical systems via spectral technique and electrical data processing

Novel method for vibration sensor-based instantaneous defect frequency estimation for rolling bearings under non-stationary conditions

Novel higher-order spectral cross-correlation technologies for vibration sensor-based diagnosis of gearboxes

Novel vibration structural health monitoring technology for deep foundation piles by non-stationary higher order frequency response function

 

Mrs. Niedja Santos | Biological Sensitivity Awards | Best Researcher Award

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Mrs. Niedja Santos | Biological Sensitivity Awards | Best Researcher Award 

Mrs. Niedja Santos, Aveiro Univertsity, Portugal

Dr. Niedja da Silva Santos is a toxicologist specializing in the toxicological evaluation of chemical compounds, particularly pharmaceuticals and emerging pollutants. She holds a Ph.D. in Biology – Ecotoxicology from the University of Aveiro, Portugal, where she investigated the impact of caffeine on zebrafish. She also earned a Master’s in Toxicology and Ecotoxicology from the same institution and a Bachelor’s degree in Biomedical Sciences from the Amazon Higher School in Brazil. Her research expertise includes genotoxic, biochemical, and statistical techniques for assessing toxicity biomarkers, with a focus on experimental models such as zebrafish and cellular assays. Dr. Santos has extensive teaching experience in ecology and experimental biology and is passionate about integrating toxicology and chemical safety concepts into education. She has collaborated with international research institutions, including the University of Brasília, and has conducted research on the toxicological effects of pharmaceuticals and heavy metals. Additionally, she has professional experience as a biomedical analyst in clinical pathology. Her work contributes to a deeper understanding of environmental toxicology and its implications for human and ecological health.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award 

Dr. Niedja da Silva Santos is a highly qualified toxicologist with a strong research background in Ecotoxicology. Her academic achievements, professional experience, and extensive contributions to toxicology research make her a strong candidate for the Best Researcher Award.

🎓 Education

  • PhD in Biology – Ecotoxicology | University of Aveiro, Portugal (2024)
    • Thesis: “Impact of caffeine on zebrafish: A case study with environmental levels”
    • Supervised by Dr. Miguel Oliveira and Dr. Inês Domingues
  • Master’s in Toxicology and Ecotoxicology | University of Aveiro, Portugal (2017)
    • Dissertation: “Danio rerio chronic exposure to carbamazepine, a multiparametric assessment – from biochemical to behavioural responses”
    • Supervised by Dr. Inês Domingues, Dr. Miguel Oliveira, and Dr. Cesar Koppe Grisolia
  • Bachelor’s in Biomedical Science | Amazon Higher School, Brazil (2014)
    • Project: “Diagnosis of hantavirus in Brazil”
    • Supervised by Dr. Paula Laurindo
    • University Exchange Program | School of Health Technology of Coimbra, Portugal (2012 – 2013)
      • Neurobiology, Organic Chemistry, Clinical Laboratory Practices, Hematology, and Blood Transfusion

💼 Work Experience

  • University of Aveiro, Portugal
    • PhD Researcher in Biology – Ecotoxicology (2020 – 2024)
      • Conducted toxicological assessments on zebrafish, including biochemical, behavioural, and genotoxic evaluations
      • Research collaboration with the University of Brasília (2021 – 2022)
    • Teaching Assistant (2021 – 2022)
      • Conducted practical classes in Biological Oceanography and Fundamentals of Ecology
  • Clinical Pathology Laboratory Dr. Paulo Azevedo – Porto Dias Hospital, Brazil (2014 – 2015)
    • Biomedical Analyst in the Biochemical sector, analyzing biological samples for diagnostics
  • Volunteer Researcher | Federal Institute of Valparaíso de Goiás, Brazil (2018)

🏆 Achievements, Awards & Honors

  • Published toxicological research focusing on pharmaceuticals and emerging pollutants
  • Extensive experience in zebrafish models and molecular toxicology
  • Long-term research collaboration with international universities
  • Active role in teaching and mentoring students in ecology and toxicology

Publication Top Notes:

Chronic effects of carbamazepine on zebrafish: Behavioral, reproductive and biochemical endpoints

Carbamazepine induces the follicular development in zebrafish (Danio rerio) female gonads.

Chronic exposure to carbamazepine affects feeding and biochemical markers in zebrafish.

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

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

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

🎓 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:
    • 🏅 Chief Scientist & Director Grade (Retd.), CSIR-CFTRI, Mysore.
    • 🧪 Head, Fermentation Technology & Bioengineering Dept., CSIR-CFTRI, Mysore.
    • 🎓 Visiting Professor, Mysore University & Mangalore University (2014-2016).
  • International Experience:
    • 🌍 Visiting Scientist at MIT (USA), University of Maryland (USA), EPFL (Switzerland), Lund University (Sweden), Melbourne University (Australia) & more.

🔬 Research Expertise

  • 🏭 Clean & Green Energy
  • 🖥️ AI & Machine Learning for Biotechnology
  • 🧬 Biomolecular Electronics & Bioelectronics
  • 🔄 Waste Utilization
  • 🧫 Biotechnology

🏆 Achievements & Awards

  • 📜 200+ research papers (h-index: 43) & 20 patents.
  • 🏭 Developed innovative biosensor technologies & transferred technologies to industries.
  • 🥇 Awards & Recognitions:
    • L.G. Goodho AFST Award 🏅
    • Best Research Papers Award (2000-2004, 2008) 🏆
    • Best Scientist Award (2009) 👨‍🔬✨

⚖️ Expert Committees & Board Memberships

  • 🇮🇳 Govt. of India Committees:
    • 🧨 Expert Committee Member on Explosive Detection (Principal Scientific Adviser, PMO).
    • 🏛️ DST, ICMR, UGC, FSSAI – Various expert panels.
  • 🏛️ Board Memberships:
    • Board of Governors, NDRF, Institute of Engineers (India)
    • Board of Directors, Biotechnology Council, Govt. of Madhya Pradesh

Publication Top Notes:

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

Mrs. Yan Qian | Temperature Monitoring Awards | Best Researcher Award

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Mrs. Yan Qian | Temperature Monitoring Awards | Best Researcher Award 

Mrs. Yan Qian, Nanjing University of Posts & Telecommunications, China

Prof. Yan Qian is an Associate Professor at the Key Laboratory for Organic Electronics & Information Displays and the Institute of Advanced Materials at Nanjing University of Posts & Telecommunications, China. With a Ph.D. in Organic Photophysics & Photochemistry from the Institute of Chemistry, Chinese Academy of Sciences, she has been actively engaged in research on functional optical materials. Her work focuses on the “hot exciton” mechanism for high-efficiency OLED emitters, organic thermal sensing, tunable excited states for organic lasers, and photochromic materials for optoelectronic applications. She has made significant contributions to the development of high-performance organic light-emitting and sensing materials, including aggregation-induced emission fluorophores and stable white OLEDs. Through her research and academic contributions, Prof. Yan Qian continues to advance the field of organic photophysics and photochemistry.

Professional Profile:

ORCID

🎓 Education

  • 📍 Ph.D. & M.S. in Organic Photophysics & Photochemistry (2002–2007)
    Institute of Chemistry, Chinese Academy of Sciences (Key Laboratory of Photochemistry)
  • 📍 B.S. in Chemistry (1998–2002)
    Anhui University

🏢 Professional Experience

  • Associate Professor (Aug 2011 – Present)
    📌 Key Laboratory for Organic Electronics & Information Displays
    📌 Institute of Advanced Materials, Nanjing University of Posts & Telecommunications, China
  • Lecturer (July 2007 – July 2011)
    📌 Key Laboratory for Organic Electronics & Information Displays
    📌 Institute of Advanced Materials, Nanjing University of Posts & Telecommunications, China

🏆 Achievements, Awards & Honors

  • 🌟 Pioneering Research in functional optical materials, including OLEDs, organic thermal sensing, organic lasers, and photochromic optoelectronic devices
  • 🔥 “Hot Exciton” Mechanism for high-efficiency OLED emitter design
  • 🏅 Recognized Contributions to energy transfer blocking for advanced organic thermal sensing and WOLEDs
  • 🎨 Innovative Work in aggregation-induced emission (AIE) fluorophores for solid-state strong emitters
  • 🏆 Awards in Research & Teaching Excellence from Nanjing University of Posts & Telecommunications

Publication Top Notes:

Singlet reservoir for multi-channel barrierless harvesting of keto triplet excitons for high-efficiency electroluminescence of an ESIPT fluorophore

Precise Regulation of Excited‐State Intramolecular Proton‐Transfer Materials for High‐Efficiency Monochromatic and White‐emitting OLEDs

Heat Resistant Organic Dyes for High Temperature Luminescent Temperature Sensing

Reproducible and High‐Performance WOLEDs Based on Independent High‐Efficiency Triplet Harvesting of Yellow Hot‐Exciton ESIPT and Blue TADF Emitters

Three‐Output Naked‐Eye High Temperature Organic Film Threshold Thermometers Based on Non‐Invasive Chemical Reaction

 

Prof. Fang Xu | Gas Detector | Best Researcher Award

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Prof. Fang Xu | Gas Detector | Best Researcher Award 

Prof. Fang Xu, Shenzhen Technology University,China

Prof. Fang Xu is an Associate Professor and Master’s Supervisor, serving as the Head of the Department of Applied Physics. She is a Shenzhen Overseas High-level Talent (Peacock Program Category C) with expertise in semiconductor gas sensors, optoelectronic devices, solar cells, and biosensors. She has published 15 SCI papers in high-impact journals such as Advanced Materials, Advanced Energy Materials, and Sensors and Actuators B: Chemical as the first or corresponding author. She holds three national invention patents and actively contributes as a guest editor and reviewer for several scientific journals. Dr. [Name] earned her Ph.D. in Electrical Engineering from The Chinese University of Hong Kong (2018) and a Bachelor’s degree in Applied Physics from Huazhong University of Science and Technology (2012). She has received multiple awards, including First Prize in the National Final of the “China University Students Mechanical Engineering Innovation and Creativity Competition” as an instructor and the Outstanding Oral Presentation Award at the 15th National Conference on Gas and Humidity Sensing Technology.

Professional Profile:

ORCID

SCOPUS

Suitability for Best Researcher Award

Fang Xu is a highly accomplished researcher whose expertise spans semiconductor gas sensors, optoelectronic devices, solar cells, and biosensors. Her extensive contributions to these fields, particularly through high-impact publications, patents, and leadership roles, make her a strong candidate for the Best Researcher Award.

🎓 Education

📍 Ph.D. in Electrical Engineering (2013.8 – 2018.11)
🔹 The Chinese University of Hong Kong (CUHK)

📍 B.Sc. in Applied Physics (2008.9 – 2012.6)
🔹 Huazhong University of Science and Technology (HUST)

🏢 Work Experience

👩‍🏫 Associate Professor / Master’s Supervisor
📌 Head of the Department of Applied Physics
🌍 Shenzhen Overseas High-level Talents (Peacock Program Category C)

🏆 Achievements

🔬 Research on semiconductor gas sensors, optoelectronic devices, solar cells, biosensors, and more
📑 15 SCI papers in top journals (Advanced Materials, Advanced Energy Materials, etc.) as first/corresponding author
📜 3 National Invention Patents granted
📝 Guest Editor & Reviewer for several scientific journals

🎖 Awards & Honors

🥇 First Prize – China University Students Mechanical Engineering Innovation and Creativity Competition “Akashi Cup” (Guangdong Province)
🥇 First Prize – National Final of “Akashi Cup” (Instructor)
🥈 Second Prize – International Sensor Innovation and Entrepreneurship Competition, South China Region (Instructor)
🏅 2 Outstanding Poster Awards – 1st Smart Gas Sensor Innovation & Cross-border Application Development Forum (Instructor)
🥉 Third Prize – Physics Experiment Competition for College Students, Shenzhen University of Technology (Instructor)
🏆 Crystal Award – Shenzhen University of Technology Science and Technology Innovation Award (Instructor)
📜 Outstanding Undergraduate Thesis Design – Shenzhen University of Technology (Instructor)
🎤 Outstanding Oral Presentation Award – 15th National Conference on Gas and Humidity Sensing Technology and Academic Exchange

Publication Top Notes:

Advanced wearable strain sensors: Ionic double network hydrogels with exceptional stretchability, adhesion, anti-freezing properties, and sensitivity

 

Dual-Gas Sensor Based on the Pt NPs/AlGaN/GaN High Electron Mobility Transistor for H and NH Gases Detection<sub /> <sub />

 

Halide perovskites and high-pressure technologies: a fruitful encounter

One-step synthesis of various burr-like TiO2 nanostructures: Nanotubes, nanorods, nanotetrapods, nano-urchins

 

A Bidirectionally Focus-Tunable Optofluidic Microlens With Miniature Thermoelectric Coolers

 

 

Mr. Qingchen Zhou | Environmental monitoring | Best Researcher Award

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Mr. Qingchen Zhou | Environmental monitoring | Best Researcher Award 

Mr. Qingchen Zhou, Tianjin Agricultural University, China

Zhou Qingchen holds a Bachelor’s degree in Hydrology and Water Resources Engineering from Tianjin Agricultural University (2016–2022) and is currently pursuing a Master’s degree in Civil Engineering and Water Conservancy at the same institution (2022–2025). His research focuses on fluid mechanics, environmental and ecological hydraulics, particularly the spatial and temporal distribution of water environmental factors in urban lakes and their response to hydrodynamic conditions. His master’s thesis, Application Research of Bloom Warning Based on EFDC and Machine Learning Model, reflects his expertise in eutrophication monitoring and hydrodynamic modeling. Zhou has contributed to multiple research projects, including the Development of an Intelligent Platform for Monitoring and Warning of Water Eutrophication, and has published several academic papers on eutrophication, lake hydrodynamics, and turbine cavitation. His work has led to patents related to water environment governance and greenhouse technology. Beyond academics, Zhou has served in the Chinese People’s Liberation Army (2017–2019), earning an Outstanding Soldier Commendation. He has held leadership roles in student organizations, won a Silver Award in the 2024 National Postgraduate Rural Revitalization Case Competition, and gained practical experience as an assistant at the Tianjin River Chief System Affairs Center. He holds a C1 motor vehicle license, a military construction machinery license, and possesses CET-4 level English proficiency.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award 

Zhou Qingchen has demonstrated strong academic and research capabilities, particularly in the field of hydrology, environmental hydraulics, and fluid mechanics. His research focuses on the spatial and temporal distribution of water environmental factors in urban lakes and their response to hydrodynamics and environmental factors. This aligns with critical areas of water resource management and environmental sustainability.

📚 Education

🎓 Tianjin Agricultural University (2016.9 – 2022.6)

  • Bachelor’s degree in Hydrology and Water Resources Engineering

🎓 Tianjin Agricultural University (2022.9 – 2025.6, expected)

  • Master’s degree in Civil Engineering and Water Conservancy
  • Research Focus: Fluid Mechanics, Environment & Ecological Hydraulics
  • Thesis: Application Research of Bloom Warning Based on EFDC and Machine Learning Model

💼 Work & Practical Experience

🪖 Border Guard Unit, Northern Theater Command, PLA (2017.9 – 2019.9)

  • Served in the military with Outstanding Soldier Commendation (2018)

🏫 Dalian Army College, PLA (2018.06 – 2018.09)

  • Military professional study

🏢 Tianjin River Chief System Affairs Center (2024.02.21 – 2024.03.21)

  • Affairs Assistant

🎓 Graduate Student Associations

  • Minister of Life Department, 12th Graduate Student Association, Tianjin Agricultural University (2022.11 – 2023.11)
  • Head of Tianjin Branch Center, 13th Guizhou Graduate Student Association (2024.06.13 – Present)

🏆 Awards & Honors

🏅 First-class Scholarship for postgraduate studies
🥈 Silver Award & Personal Style Award – 2024 National Postgraduate Rural Revitalization Case Competition
🎖 Outstanding Soldier Commendation – Recognized for excellent service in 2018
🏅 Cadre of the 12th Outstanding Graduate Student Association – Tianjin Agricultural University
🌟 Outstanding Member of the Communist Youth League – Awarded by the Communist Youth League Guizhou Provincial Committee in Beijing

📜 Research Achievements

🔬 Research Projects

  • Development of Intelligent Platform for Monitoring and Warning of Water Eutrophication

📄 Published Papers

  1. A Study of the Effect of Lake Shape on Hydrodynamics and Eutrophication – Sustainability 2025, 17, 1720
  2. Research Progress on Eutrophication Response Rules and Bloom Warning Methods – China Rural Water Resources and Hydropower, 2024 (07)
  3. Review on Cavitation of Low Head Mixed-Flow Turbine – Journal of Tianjin Agricultural University, 2024 (04)

📑 Patents

  1. Water Environment Governance Method and Platform Based on Mathematical Model & AI
  2. A Water-Insulated Greenhouse with a Back Wall

🎯 Skills & Certifications

🚗 C1 Motor Vehicle Driving License & Construction Machinery Driving License (Military)
🗣 Languages: English (CET-4) | Mandarin (Second Class)

Publication Top Notes:

A Study of the Effect of Lake Shape on Hydrodynamics and Eutrophication

A review of low head Francis turbine cavitation research

Progress of Research on Eutrophication Response Law and Early Warning Method of Water Bloom in Water Bodies

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

Posted on by ScienceFather

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