Juul Van Grootel | Online Monitoring | Top Researcher Award

Top Researcher Award

Juul van Grootel
Affiliation Amsterdam University Medical Center
Country Netherlands
Scopus ID 58504691000
Documents 9
Citations 62
h-index 5
Subject Area Online Monitoring
Event Global Sensor Awards
ORCID 0000-0002-2357-0183

Juul van Grootel

Amsterdam University Medical Center

The Top Researcher Award recognizes researchers whose scholarly activities demonstrate measurable academic impact, sustained scientific contributions, and meaningful engagement with emerging research domains. Juul van Grootel has established an academic profile in the field of online monitoring, contributing to research involving sensor-enabled healthcare technologies, digital monitoring systems, and data-driven clinical applications. The available bibliometric indicators provide an objective foundation for evaluating scholarly performance within internationally recognized academic standards.[1]

Abstract

This article provides a scholarly overview of Juul van Grootel’s research profile in relation to the Top Researcher Award presented by the Global Sensor Awards. The evaluation considers bibliometric indicators including publication output, citation performance, h-index, institutional affiliation, and specialization in online monitoring. The profile is presented using a neutral academic perspective emphasizing transparent research evaluation and evidence-based recognition.[1]

Keywords

  • Top Researcher Award
  • Online Monitoring
  • Medical Sensors
  • Digital Health
  • Research Evaluation
  • Bibliometric Analysis

Introduction

Online monitoring has become an essential component of modern healthcare, enabling continuous patient assessment, remote clinical observation, wearable sensing, and intelligent decision support. Advances in sensor technologies, biomedical engineering, and digital health platforms have significantly expanded opportunities for real-time monitoring and personalized healthcare delivery. Researchers working in this multidisciplinary field contribute to technological innovation by improving data acquisition, patient safety, and evidence-based medical practice.[2]

Research Profile

Juul van Grootel is affiliated with Amsterdam University Medical Center in the Netherlands. According to the available Scopus profile, the researcher has published nine indexed scholarly documents, accumulated sixty-two citations, and achieved an h-index of five. These bibliometric indicators demonstrate continued scholarly participation and measurable visibility within the scientific literature related to healthcare monitoring technologies and sensor-enabled clinical research.[1]

Research Contributions

The research portfolio is associated with online monitoring technologies supporting healthcare innovation through digital sensing, patient observation, and continuous physiological assessment. Such research contributes to improved clinical workflows, remote healthcare delivery, and data-driven medical decision-making. Publications within this area reflect interdisciplinary collaboration among medicine, engineering, and health informatics while advancing practical applications of sensor systems in clinical environments.[1][2]

  • Research involving online monitoring technologies.
  • Application of sensor-enabled healthcare systems.
  • Peer-reviewed scientific publications.
  • Interdisciplinary collaboration across medicine and digital health.

Publications

The documented publication record includes nine indexed research articles contributing to scientific literature related to online monitoring and digital healthcare. These publications facilitate scientific communication, encourage collaborative research, and provide evidence supporting ongoing developments in intelligent medical technologies. Citation metrics further indicate scholarly engagement by the wider research community.[1]

Representative DOI reference relevant to sensor-based online monitoring: https://doi.org/10.1038/s41746-020-00324-0 [3]

Research Impact

Bibliometric indicators remain important tools for evaluating academic influence. A publication portfolio comprising nine indexed documents, supported by sixty-two citations and an h-index of five, reflects measurable scholarly visibility and continuing engagement within the scientific community. While quantitative indicators do not fully capture research quality, they provide standardized evidence frequently considered during academic evaluations and international research award assessments.[1]

Award Suitability

The available research profile demonstrates characteristics commonly evaluated during international research awards, including peer-reviewed publications, documented citation performance, interdisciplinary research activity, institutional affiliation, and measurable academic influence. These objective indicators align with transparent assessment principles that recognize sustained scientific contributions and scholarly excellence within the field of online monitoring and sensor-enabled healthcare technologies.[1][2]

Conclusion

Juul van Grootel’s academic profile demonstrates continued participation in research associated with online monitoring, digital healthcare, and sensor-enabled clinical technologies. The available publication record, citation metrics, and interdisciplinary research activities collectively provide an objective basis for consideration within the Top Researcher Award at the Global Sensor Awards, emphasizing transparent and evidence-based scholarly evaluation.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Juul van Grootel, Author ID 58504691000. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=58504691000
  2. Literature concerning digital health, remote patient monitoring, wearable sensors, and online monitoring technologies within biomedical research and clinical practice.
    https://www.nature.com/npjdigitalmed/
  3. Digital Object Identifier Foundation. Representative DOI example for research involving digital medicine and online monitoring.
    https://doi.org/10.1038/s41746-020-00324-0

Li Wan | Electromagnetic Sensors | Best Researcher Award

Best Researcher Award

Li Wan
Anhui Medical University, China

Li Wan
Affiliation Anhui Medical University
Country China
Scopus ID 57204732623
Documents 10
Citations 44
h-index 3
Subject Area Psychology, Psychiatry, Electromagnetic Sensors,  Neuroscience, Neuromodulation
Event Global Sensor Awards
ORCID 0000-0002-3748-9087

Li Wan is a Chinese psychologist, neuroscientist, and academic leader recognized for her contributions to brain disorders research, neuromodulation technologies, and non-invasive therapeutic interventions. As Director of the Brain Disorders and Neuromodulation Research Center at Anhui Medical University, she has led multidisciplinary investigations involving electroencephalography (EEG), functional near-infrared spectroscopy (fNIRS), brain-computer interfaces (BCI), transcranial electrical stimulation (tES), and transcranial magnetic stimulation (TMS). Her research spans schizophrenia, major depressive disorder, addiction, cognitive control, and neurorehabilitation, contributing to the development of precision psychiatry and digital biomarkers.[1]

Abstract

Li Wan’s academic career is characterized by interdisciplinary research integrating neuroscience, psychiatry, psychology, artificial intelligence, and neuromodulation technologies. Her work focuses on understanding the neural mechanisms of psychiatric disorders and developing non-invasive therapeutic interventions. Through leadership of multiple provincial and institutional research projects, she has advanced translational neuroscience applications for schizophrenia, addiction, depression, and cognitive dysfunction. Her contributions include the development of EEG-based diagnostic systems, digital biomarkers, and personalized neuromodulation strategies designed to improve clinical outcomes and mental healthcare innovation.[2]

Keywords

Neuromodulation, Psychiatry, Neuroscience, EEG, fNIRS, Brain-Computer Interface, Transcranial Magnetic Stimulation, Transcranial Electrical Stimulation, Schizophrenia, Major Depressive Disorder, Addiction Research, Artificial Intelligence, Cognitive Control, Neuroimaging, Digital Biomarkers.

Introduction

Mental and neurological disorders continue to represent significant global healthcare challenges. Advances in neuroimaging, computational neuroscience, and non-invasive brain stimulation have created new opportunities for understanding and treating these conditions. Within this evolving scientific landscape, Li Wan has established a research program dedicated to identifying neural mechanisms associated with psychiatric disorders while translating laboratory findings into clinically relevant interventions. Her investigations combine neurophysiological measurements with advanced analytical approaches to support precision mental healthcare.[3]

Research Profile

Li Wan earned her Ph.D. in Psychology from Virginia Tech and currently serves as Professor and Director of the Brain Disorders and Neuromodulation Research Center. She has participated in major projects funded by the United States Department of Health and Human Services and the United States Department of Defense. As Principal Investigator, she has led more than ten competitive research projects focused on psychiatric disorders, cognitive neuroscience, neuromodulation technologies, and AI-assisted clinical applications.[4]

  • Director, Brain Disorders and Neuromodulation Research Center.
  • Professor and Principal Investigator.
  • Master’s Supervisor at Anhui Medical University and Wannan Medical College.
  • Editorial Board Member of Brain-X, Alpha Psychiatry, and Brain Science Advances.
  • Guest Editor, Frontiers in Psychiatry.
  • Member of the World Psychiatric Association (WPA).

Research Contributions

Her research portfolio demonstrates sustained contributions toward the understanding of neural circuit dysfunction and therapeutic neuromodulation in psychiatric conditions. Several notable projects include:

  • Brain-computer interface interventions for reducing alcohol craving relapse.
  • Artificial intelligence-based analysis of adolescent stress during the COVID-19 pandemic.
  • EEG frequency modulation approaches for schizophrenia symptom improvement.
  • Neural circuit investigations of voluntary inhibition deficits.
  • Targeted electrical stimulation approaches for drug dependence treatment.
  • Novel neurofeedback systems based on transcranial direct current stimulation.

A significant technological contribution includes the development of an artificial intelligence-assisted EEG medical diagnostic support system, protected under Chinese invention patent ZL 2024 1 0077209.1, demonstrating integration of neuroscience, machine learning, and clinical diagnostics.[5]

Publications

Li Wan has authored or co-authored more than 60 scholarly publications, including over 30 papers indexed in SCI journals. Selected representative publications include:

  1. Zhang Q., Wan L., et al. (2026). fNIRS identifies right prefrontal hemodynamic signatures for subclassifying alcohol use disorder. Cognitive Neurodynamics.
  2. Wan L., Chen Y., et al. (2026). EEG-based digital biomarker for personalizing transcranial magnetic stimulation in major depressive disorder. npj Digital Medicine.
  3. Liu W., Wan L., et al. (2025). The effect of bilateral high-definition γ-tACS on negative symptoms and mismatch negativity in schizophrenia. Journal of Psychiatric Research. DOI: 10.1016/j.jpsychires.2025.05.056
  4. Wan L., Pei P., Zhang Q., Gao W. (2024). Specificity in the commonalities of inhibition control. European Psychiatry. DOI: 10.1192/j.eurpsy.2024.1785
  5. Wu H., Zhang Q., Wan L., et al. (2024). Effect of γ-tACS on prefrontal hemodynamics in bipolar disorder. Journal of Psychiatric Research. DOI: 10.1016/j.jpsychires.2024.05.015

Research Impact

The impact of Li Wan’s research extends across neuroscience, psychiatry, clinical psychology, and biomedical engineering. Her studies contribute to improved understanding of cognitive control dysfunction, emotional regulation, and neural network abnormalities associated with psychiatric disorders. By integrating neuroimaging and neuromodulation techniques, her work supports the development of evidence-based personalized treatment strategies and enhances the translation of neuroscience discoveries into clinical practice.[3]

Award Suitability

Li Wan demonstrates strong qualifications for consideration under the Best Researcher Award category. Her record includes leadership of multiple competitive research projects, substantial peer-reviewed publication output, editorial responsibilities in international journals, intellectual property development through an authorized invention patent, and professional service within national and international scientific organizations. The interdisciplinary nature of her work and its translational relevance to mental health care further support recognition of her research achievements.[4]

Conclusion

Li Wan’s scientific career reflects a commitment to advancing knowledge in neuroscience and psychiatry through innovative methodologies and translational research. Her leadership in neuromodulation research, development of AI-assisted diagnostic technologies, and extensive publication record position her among active contributors to contemporary mental health research. Continued investigation of brain disorders and personalized interventions is expected to further strengthen the clinical and scientific significance of her work.

References

  1. ORCID. (n.d.). Li Wan Research Profile.
    https://orcid.org/0000-0002-3748-9087
  2. Research Project Portfolio and Award Nomination Documentation submitted by Li Wan (2026).
  3. Wan, L., et al. Publications in psychiatry, neuroscience, and neuromodulation research (2024–2026).
  4. Professional Biography and Academic Background, Anhui Medical University.
  5. China Invention Patent No. ZL 2024 1 0077209.1. Medical diagnostic assistance system based on EEG signals and artificial intelligence classification.

Dr. Michelangelo Mortello | Monitoring | Excellence in Research Award

Dr. Michelangelo Mortello | Monitoring | Excellence in Research Award

Dr. Michelangelo Mortello | Monitoring | Italian Welding Institute | Italy

Dr. Michelangelo Mortello is a highly accomplished researcher and materials engineer at the Istituto Italiano della Saldatura (IIS) – Ente Morale, Genoa, Italy, whose work stands at the intersection of welding technology, materials science, and sensing innovation. With a strong academic foundation culminating in a Ph.D. in Materials Engineering, Dr. Mortello has developed profound expertise in laser-based manufacturing, hybrid welding systems, hydrogen embrittlement mitigation, and subsurface sensing applications for industrial metals. His education and continuous professional engagement have equipped him with exceptional research insight into advanced joining processes, metallurgy, and additive manufacturing. Throughout his career, Dr. Mortello has accumulated an extensive body of work, publishing more than 29 scientific papers with over 800 citations and an h-index of 16, reflecting the global influence of his research contributions. His professional experience spans collaborative roles in advanced laboratories and European research initiatives, where he has contributed to the development of real-time sensing frameworks for process monitoring, structural diagnostics, and non-destructive evaluation. At IIS, he has led and contributed to numerous research projects focused on laser–arc hybrid welding, hydrogen embrittlement studies, and the structural evaluation of pipelines for repurposing energy systems. Dr. Mortello’s research interests encompass a wide spectrum of interdisciplinary domains, including additive manufacturing, laser processing, smart sensing technologies, and the integration of artificial intelligence in material diagnostics. His scientific pursuits aim to enhance the reliability, sustainability, and precision of industrial materials through predictive modeling and sensor-enabled process control. Equipped with advanced research skills such as finite element modeling (FEM), computational simulation, microstructural characterization, and corrosion testing, he consistently contributes innovative solutions to address the challenges of modern manufacturing.

Professional Profile: ORCID | Scopus | Google Scholar

Selected Publications 

  1. Mortello, M., & Casalino, G. (2021). Transfer mode effects on Ti6Al4V wall building in wire laser additive manufacturing. Manufacturing Letters. — Citations: 65

  2. Casalino, G., & Mortello, M. (2021). Laser-arc combined welding of AA5754 alloy. Materials Letters. — Citations: 58

  3. Contuzzi, N., Mortello, M., & Casalino, G. (2021). On the laser scarfing of epoxy resin matrix composite with copper reinforcement. Manufacturing Letters. — Citations: 47

  4. Casalino, G., Leo, P., Mortello, M., Perulli, P., & Varone, A. (2017). Effects of laser offset and hybrid welding on microstructure and IMC in Fe–Al dissimilar welding. Metals. — Citations: 83

  5. Casalino, G., Guglielmi, P., Lorusso, V. D., Mortello, M., Peyre, P., & Sorgente, D. (2017). Laser offset welding of AZ31B magnesium alloy to 316 stainless steel. Journal of Materials Processing Technology. — Citations: 112

Shahab Naghdi | Gas Sensors | Best Researcher Award

Dr. Shahab Naghdi | Gas Sensors | Best Researcher Award

Dr. Shahab Naghdi | Gas Sensors | Postdoc researcher at Tarbiat Modares University | Iran

Dr. Shahab Naghdi is a postdoctoral researcher at Tarbiat Modares University with a specialized focus on seafood processing, bio-waste refinery, and intelligent packaging. With a solid academic foundation, Dr. Shahab Naghdi earned his Ph.D. in Seafood Processing from Tarbiat Modares University, where his doctoral research explored the extraction and application of sulfated polysaccharides and protein hydrolysates from marine by-products. His research journey has been marked by a strong emphasis on sustainable technologies and marine biotechnology, placing him at the forefront of efforts to utilize underexploited aquatic resources through eco-friendly techniques. Professionally, Dr. Shahab Naghdi has collaborated extensively with international scholars from countries including Sweden, Spain, and Indonesia, and has co-authored numerous high-impact research papers. reflecting his growing influence in the fields of food bioprocessing and marine-derived biomaterials. Dr. Shahab Naghdi’s h-index of 9 and i10-index of 8 highlight the scientific depth and consistency of his research outputs. His areas of interest include bioactive compound extraction, intelligent color-changing nanosensors, fish protein hydrolysates, and the development of biopolymer-based films for food preservation. Dr. Shahab Naghdi is skilled in ultrasonic-assisted extraction, enzymatic hydrolysis, pH-sensing technology, and analytical techniques used in evaluating antioxidant and antimicrobial properties. He has successfully applied these techniques to create sustainable solutions for food packaging and marine waste utilization, contributing both scientific innovation and environmental benefit.

Professional Profile: ORCID | Scopus | Google Scholar

Selected Publications:

  1. A starch-based pH-sensing and ammonia detector film containing betacyanin of paperflower for application in intelligent packaging of fish (2021) – 137 Citations

  2. Ultrasonic-assisted enzymatic extraction of sulfated polysaccharide from Skipjack tuna by-products (2023) – 24 Citations

  3. Parallel extraction of sulfated polysaccharides and protein hydrolysate from skipjack tuna head and their bioactive and functional properties (2023) – 21 Citations

  4. Fish Protein Hydrolysate from Sulfated Polysaccharides Extraction Residue of Tuna Processing By‐Products with Bioactive and Functional Properties (2023) – 19 Citations

 

 

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

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:

SCOPUS

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

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:

SCOPUS

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
CITED:44
CITED:42
CITED:35
CITED:32
CITED:27

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

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

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

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

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