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,ย  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 ฮณ-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 ฮณ-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 (2024โ€“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. Alessandro Gandolfo | Electromagnetic Awards | Best Researcher Award

Dr. Alessandro Gandolfo | Electromagnetic Awards | Best Researcher Awardย 

Dr. Alessandro Gandolfo, Narda S.t.s, Italy

Dr. Alessandro Gandolfo is an accomplished Electronic Engineer with over two decades of experience in telecommunications and electromagnetic compatibility. He currently serves as the Head of the Research and Development Department at P.M.M. Narda S.r.l., a company within the L3T Group specializing in industrial electromagnetic safety. In his role, he leads strategic planning and industrial project development, manages multidisciplinary teams, and oversees the design of advanced radiofrequency equipment and electromagnetic field measurement systems. As Project Manager and Scientific Director, he has led several high-profile national and international research projects in collaboration with organizations such as CNR, ENEA, ESA, Alenia, and leading European universities. Dr. Gandolfo holds patents in magnetic field sensors and is a recognized expert in EMC and Safety regulations, actively contributing to CEI committees. His background also includes extensive work in the construction industry, with expertise in architectural and seismic design. A published author in the field of electromagnetic compatibility, he complements his technical leadership with strong communication and negotiation skills, supporting global client engagement efforts.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award: Dr. Alessandro Gandolfo

Dr. Alessandro Gandolfo is a highly accomplished and versatile researcher and engineer with over two decades of significant contributions in electronic engineering, telecommunications, and electromagnetic compatibility. His work spans scientific leadership, technological innovation, and impactful international collaborations, positioning him as a highly deserving candidate for the Best Researcher Award.

๐ŸŽ“ Education

  • ๐Ÿซ Surveyorโ€™s Diploma โ€“ Technical Institute for Surveyors L.B. Alberti, Savona, Italy (1987)

  • ๐ŸŽ“ Degree in Electronic Engineering (Telecommunications) โ€“ University of Genoa, Italy (1994) โ€“ Score: 106/110

  • ๐Ÿ› ๏ธ Engineering License โ€“ Passed professional practice exam (1994)

  • ๐Ÿงฑ Civil Engineering Studies โ€“ Passed core exams (University of Genoa and Pavia, 2005โ€“2010)

  • ๐Ÿ‡ฌ๐Ÿ‡ง First Certificate in English (B2) โ€“ British Council (2000)

๐Ÿ’ผ Work Experience

  • ๐Ÿ”ฌ Head of R&D and Project Manager โ€“ P.M.M. Narda S.r.l. (1995โ€“Present)

    • Leads Research & Projecting Dept.

    • Oversees design of RF equipment: sensors, receivers, antennas, amplifiers

    • Manages strategic projects and international collaborations (e.g., ESA, CNR, Philips, Siemens)

    • Patent holder in magnetic field sensors

    • Expert in EMC and Safety regulations

  • ๐Ÿ—๏ธ Freelancer in Construction (1996โ€“Present)

    • Designs reinforced concrete/steel residential buildings

    • Handles seismic and structural analysis

  • ๐Ÿ“ก Planning Officer โ€“ Telecom Italia, Turin (1995)

    • Network infrastructure planning

  • ๐Ÿงช Designer โ€“ Microtel S.r.l., Milan (1995)

    • Designed test systems for electronic circuits

๐Ÿ† Achievements & Roles

  • ๐Ÿง  Scientific Director โ€“ Led international research projects (MIUR-funded, EU collaborations)

  • โœ๏ธ Published Author โ€“ Articles on EMC and electromagnetic field measurement methods (1994โ€“present)

  • ๐Ÿ’ก Patent Holder โ€“ Innovations in magnetic field sensors

  • ๐Ÿงช Lab Experience โ€“ Optical lab at Department of Biophysical and Electronic Engineering (1993โ€“94)

  • ๐Ÿง‘โ€๐Ÿซ Committee Member โ€“ CEI Committees on EMC & EMF exposure

  • ๐ŸŒ Key Account Support โ€“ Supported international client acquisition for sales growth

  • ๐Ÿ’ฌ Speaker & Participant โ€“ Conferences and symposia on RF, EMC, and environmental topics

  • ๐Ÿ“‹ Project Certifications โ€“

    • Safety coordinator (Legislative Decree 494/96)

    • Energy Certifier (Liguria Region, 2008)

    • Seismic building regulations training (2004โ€“2005)

๐Ÿ… Honors & Recognitions

  • ๐Ÿ›๏ธ Registered Engineer โ€“ Order of Engineers, Savona (1996)

  • ๐ŸŽ–๏ธ Recognized as Scientific Director of high-impact projects with top-tier institutions (ESA, ENEA, CNR, etc.)

  • ๐ŸŒŸ Trusted Project Lead for MIUR-funded and EU-level research initiatives

Publicationย Top Notes:

Performance Evaluation and Calibration of Electromagnetic Field (EMF) Area Monitors Using a Multi-Wire Transverse Electromagnetic (MWTEM) Transmission Line

 

Mr. Yogesh Solunke | Electromagnetics Awards | Best Researcher Award

Mr. Yogesh Solunke | Electromagnetics Awards | Best Researcher Award

Mr. Yogesh Solunke, Visvesvaraya National Institute of Technology, India

Yogesh Shriram Solunke is an accomplished Electronics and Communication Engineer specializing in RF and microwave design, with expertise in Frequency Selective Surface (FSS) design. He is currently pursuing his Ph.D. at Visvesvaraya National Institute of Technology (VNIT), Nagpur, focusing on stealth and defense applications in the C and X bands. He holds an M.Tech. in Communication System Engineering from IIITD&M, Kancheepuram, and a Bachelor’s degree in Electronics and Communication Engineering from MIT Aurangabad. His research contributions include multiple SCI-indexed publications on novel FSS structures for radar cross-section reduction and multi-band filtering. With professional experience spanning academia and industry, he has worked as an EMAG Solution Expert at VIAS3D (Pune), a Junior Research Fellow at NIT Goa, and an RF Design Engineer at MMRFIC Technology, where he contributed to high-frequency antenna design. He has also served as a CST Application Engineer and R&D Engineer, collaborating with organizations like ISRO, BEL, and the Indian Navy. His research interests include radio frequency and microwave engineering, electromagnetics, and antenna design.

Professional Profile:

SCOPUS

GOOGLE SCHOLAR

Suitability for Best Researcher Award โ€“ Yogesh Shriram Solunke

Based on the provided information, Yogesh Shriram Solunke demonstrates a strong research background in RF and microwave design, frequency-selective surfaces (FSS), and electromagnetics, making him a potential candidate for the Best Researcher Award. Below is a structured evaluation of his suitability:

๐Ÿ“š Education

  • ๐ŸŽ“ Ph.D. (Pursuing) โ€“ RF and Microwave Design, Frequency Selective Surface Design, Visvesvaraya National Institute of Technology (VNIT), Nagpur (Feb 2021 โ€“ Present)
  • ๐ŸŽ“ Master of Design (Electronics and Communication System) โ€“ Indian Institute of Information Technology Design & Manufacturing (IIITD&M), Kancheepuram
    • ๐Ÿ† CGPA: 7.88
    • ๐Ÿ›  Project: Design of Microwave Multiband and Wideband Filters (Guide: Dr. S.S. Karthikeyan)
  • ๐ŸŽ“ Bachelor of Engineering (ECE) โ€“ MIT Aurangabad (2013)
    • ๐Ÿ“Š Percentage: 67%
  • ๐ŸŽ“ Class 10 โ€“ DPVM School (2007)
    • ๐Ÿ“Š Percentage: 69.7%

๐Ÿ’ผ Work Experience

  • VIAS3D, Pune โ€“ EMAG Solution Expert (May 2022 โ€“ Present)
    • ๐Ÿ† Completed 6+ certifications from Dassault Systรจmes in High-Tech & Aerospace
  • Visvesvaraya National Institute Of Technology (VNIT), Nagpur โ€“ Ph.D. Researcher (Feb 2021 โ€“ Oct 2024)
    • ๐Ÿ“ก RF Microstrip Multilayer Absorber Research
  • National Institute of Technology Goa (NIT Goa) โ€“ Junior Research Fellow (Mar 2020 โ€“ Feb 2021)
    • ๐Ÿ”ฌ SERB ECRA-sponsored project on Compact and Wideband Dielectric Resonator Antennas
  • MMRFIC Technology, Hyderabad โ€“ RF Design Engineer (Feb 2019 โ€“ Feb 2020)
    • ๐Ÿ“ก Designed antennas at 78 GHz & 94 GHz for fog systems
    • ๐Ÿ“ก Developed a series feed array antenna at 24 GHz
  • Jyoti Electronics Pvt. Ltd., Ahmedabad โ€“ CST Application Engineer (Jan 2018 โ€“ Feb 2019)
    • ๐Ÿš€ Worked on CST projects for SAC ISRO Ahmedabad and IIT/NITs
  • NAVSTAR Integrated Systems Pvt. Ltd., Hyderabad โ€“ R&D Engineer & Testing Engineer (Jun 2017 โ€“ Dec 2018)
    • โš™๏ธ Designed & measured UHF, VHF, and S-band filters for defense projects
    • ๐Ÿ† Clients: Indian Navy Mumbai, BEL Hyderabad, BEL Bangalore
  • Vignan Engineering College, Guntur โ€“ Assistant Professor (Jun 2016 โ€“ Jun 2017)

๐Ÿ† Achievementsย 

  • ๐Ÿ“œ Publications in SCI-Indexed Journals
    • ๐Ÿ“ก Ultra-thin, low-RCS, dual-bandpass fractal-FSS for C & X bands applications โ€“ AEU – International Journal of Electronics and Communications, 2024
    • ๐Ÿ“ก Frequency Selective Surface with quad-band absorption/transmission and angular stability โ€“ Optics Communications, 2024
    • ๐Ÿ“ก Low-RCS dual-bandstop golden ratio-based fractal-FSS for defense applications โ€“ International Journal of Communication Systems (IJCS), 2024

๐Ÿ”ฌ Research Interests

  • ๐Ÿ“ก Radio Frequency & Microwave Engineering
  • ๐Ÿ›ฐ Electromagnetics
  • ๐Ÿ— Frequency-Selective Surfaces & Antennas

Publicationย Top Notes:

Frequency selective surface with quad-band absorption/transmission and angular stability for TE and TM polarizations

An ultra-thin, low-RCS, dual-bandpass novel fractal-FSS for planar/conformal C&X bands applications

A low-RCS dual-bandstop golden ratio-based fractal-FSS for defense applications

A Compact Transparent FSS for Tri-Band Applications with Polarization Insensitive and RCS Reduction

Broadband metamaterial absorber for stealth applications at K-band

Francesco Mercogliano | Electromagnetic Sensing System | Best Researcher Award

Francesco Mercogliano | Electromagnetic Sensing System | Best Researcher Award

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

Dr. Francesco Mercogliano is a dedicated PhD student in Information and Communication Technology and Engineering at the University of Naples โ€œParthenope,โ€ Italy. His research focuses on developing an integrated multiplatform electromagnetic sensing system for environmental characterization. With a Master’s degree in Geology and Applied Geology and a Bachelor’s degree in Geological Sciences, Francesco has demonstrated exceptional academic prowess, achieving cum laude honors. His internships with renowned institutes, including the National Research Council and the National Institute of Geophysics and Volcanology, have further honed his skills in satellite thermal imaging and geophysical data analysis. ๐ŸŒ๐Ÿ“š๐Ÿ’ป

Publication Profile

Googlescholar

Education and Experience

  • PhD Student in Information and Communication Technology and Engineeringย (39th Cycle)
    University of Naples โ€œParthenope,โ€ Naples, Italy (2023 โ€“ Present)

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

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

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

Suitability For The Award

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

Professional Development

Francesco Mercogliano has actively pursued professional development through hands-on internships and research projects in prestigious organizations such as the National Research Council (CNR) and the National Institute of Geophysics and Volcanology (INGV). His work includes analyzing satellite thermal images for land surface temperature mapping and monitoring ground deformation using GNSS-RTK data. Proficient in MATLAB, Python, and remote sensing techniques, Francesco combines his technical skills with a strong foundation in geology to contribute meaningfully to environmental studies. His dedication to advancing knowledge in geosciences exemplifies his commitment to professional excellence and innovation.ย ๐ŸŒฑ๐Ÿ”๐Ÿ“Š

Research Focus

Francesco Mercoglianoโ€™s research focuses on developing integrated electromagnetic sensing systems for environmental characterization. His work emphasizes the use of advanced remote sensing technologies to analyze land surface temperature, particularly in volcanic regions like the Campi Flegrei caldera. By employing methods such as Independent Component Analysis (ICA), Francesco aims to identify thermal anomalies that can inform geological studies and risk assessment. His interdisciplinary approach combines principles of geology, remote sensing, and data analysis, contributing significantly to environmental monitoring and understanding of geological phenomena.ย ๐ŸŒ‹๐Ÿ“ˆ๐Ÿ’ก

Awards and Honors

  • Research Internship Recognitionย at the National Research Council (CNR)ย ๐ŸŒŸ
  • Outstanding Contribution Awardย at National Institute of Geophysics and Volcanology (INGV)ย ๐ŸŒŒ

Publication Top Notes

  • Thermal Patterns at the Campi Flegrei Caldera Inferred from Satellite Data and Independent Component Analysisย (2024)ย ๐Ÿ“ก๐ŸŒ‹
  • Remote detection of Thermal Anomalies at Campi Flegrei caldera via Independent Component Analysis (ICA)ย (2024)ย ๐Ÿ”๐Ÿ“Š
  • Airborne Synthetic Aperture Radar and Electromagnetic Technologies of the Italian Earth Observation Platform ITINERISย ย (2024)ย โœˆ๏ธ๐Ÿ›ฐ๏ธ
  • Multiparametric and Multiplatform Detection of Ongoing Unrest Processes in Active Resurgent Calderas: A Case Study of the Campi Flegrei Calderaย (2024)ย ๐ŸŒโš ๏ธ