Jai Dev | Electromagnetic Sensors | Best Researcher Award

Posted on by Global Sensor Awards

Best Researcher Award

Jai Dev
Affiliation CSIR–National Physical Laboratory (NPL), New Delhi
Country India
Scopus ID 58793674400
Documents 7
Citations 32
h-index 3
Subject Area Condensed Matter Physics, Magnetism, Spintronics, Functional Materials
Event Global Sensor Awards

Jai Dev is an Indian experimental condensed matter physicist affiliated with the CSIR–National Physical Laboratory (NPL), New Delhi, and a doctoral researcher at the Academy of Scientific and Innovative Research (AcSIR). His research focuses on multifunctional magnetic materials, topological transport phenomena, magnetocaloric effects, giant magnetoresistance, skyrmionic spin textures, and thin-film spintronic systems. Through extensive experimental investigations on modified Mn2Sb-based compounds and related magnetic materials, he has contributed to advancing the understanding of magnetic anisotropy, topological Hall effects, and device-oriented magnetic functionalities.[1]

Abstract

Jai Dev’s research centers on the synthesis, characterization, and functional understanding of magnetic materials exhibiting technologically relevant properties. His doctoral investigations emphasize modified Mn2Sb systems, topological transport phenomena, giant magnetoresistance, magnetocaloric effects, and ferrimagnetic spin textures. By combining advanced crystal growth techniques, magnetic characterization tools, and transport measurements, he has contributed to understanding the relationship between crystal structure, magnetic interactions, and electronic transport. His work extends toward thin-film architectures for next-generation spintronic applications, including racetrack memory, neuromorphic computing, and skyrmion-based devices.[2]

Keywords

Condensed Matter Physics, Spintronics, Magnetocaloric Effect, Giant Magnetoresistance, Topological Hall Effect, Ferrimagnetism, Magnetic Anisotropy, Skyrmions, Functional Materials, Thin Films, Magnetic Refrigeration, Magnetic Sensors, Chiral Spin Textures, Magnetotransport, Mn2Sb Compounds.

Introduction

The development of multifunctional magnetic materials remains a major area of contemporary condensed matter research because of their potential applications in information storage, sensing technologies, refrigeration, and energy-efficient computing. Jai Dev has focused his academic career on understanding the fundamental magnetic and electronic behaviors of intermetallic compounds and related systems. His research addresses important scientific questions regarding magnetic phase transitions, anisotropic transport, topological spin textures, and magnetically driven functionalities that can support future device technologies.[3]

Research Profile

As a doctoral researcher at AcSIR and CSIR–NPL, Jai Dev has developed expertise across the complete experimental materials research cycle, including crystal growth, thin-film fabrication, structural characterization, magnetic measurements, and transport analysis. His technical competencies include operation of PPMS, MPMS, SQUID magnetometers, Raman spectroscopy systems, thermal evaporation units, X-ray diffraction instruments, and advanced materials synthesis facilities.[4]

His scientific interests encompass interface magnetism, skyrmion stabilization, chiral magnetic interactions, anisotropic magnetotransport, permanent magnets, magnetic refrigeration, and multifunctional materials. Through both bulk and thin-film studies, he investigates mechanisms that govern magnetic ordering and transport signatures in technologically relevant systems.[4]

Research Contributions

  • Investigated giant magnetoresistance and coercivity evolution in modified MnZnSb systems through processing-controlled magnetic engineering.
  • Reported coexistence and tunability of conventional and inverse magnetocaloric effects in Ge-modified MnZnSb single crystals.
  • Studied asymmetric magnetoresistance and topological Hall effect signatures associated with non-trivial spin textures.
  • Contributed to thin-film investigations of magnetic Heusler compounds exhibiting weak anti-localization and magnetotransport phenomena.
  • Advanced understanding of ferrimagnetic materials exhibiting finite spin chirality and topological transport responses.
  • Expanded research toward skyrmion-based spintronic devices, neuromorphic architectures, and next-generation memory technologies.

Publications

Jai Dev has authored and co-authored numerous peer-reviewed publications in internationally recognized journals including Physica Status Solidi A, Physica Status Solidi B, ACS Applied Electronic Materials, Journal of Magnetism and Magnetic Materials, Journal of the American Ceramic Society, and the Journal of the Australian Ceramic Society. His publications collectively address magnetic phase transitions, magnetocaloric behavior, topological transport, ferrimagnetism, thin-film magnetism, and multifunctional magnetic materials.[5]

  • Material Processing–Driven Evolution of Magnetic Coercivity and Magnetoresistance in Mn2-xZnxSb0.9Bi0.1 Compounds (2026).
  • Tuning of Conventional and Inverse Magnetocaloric Effect Coexistence in Ge‐Modified MnZnSb Single Crystal (2025).
  • Asymmetric Magnetoresistance and Topological Hall Effect in MnZnSb Single Crystal (2025).
  • Pd-Doped RuO2 as a Battery–Supercapacitor Hybrid Electrode (2024).
  • Weak Anti-localization and Magnetotransport in Disordered Mn2Ni1.6Sn0.4 Thin Films (2024).

Research Impact

The research portfolio of Jai Dev contributes to the growing international effort to develop advanced magnetic materials for future information technologies and energy-efficient devices. His studies on topological Hall effects, skyrmion-related phenomena, and magnetocaloric materials provide valuable experimental insights into fundamental magnetic interactions while also addressing practical technological applications. His participation in major scientific conferences, including the Joint MMM–Intermag Conference in the United States, further demonstrates active engagement with the global magnetism research community.[3]

Award Suitability

Jai Dev demonstrates strong qualifications for recognition under emerging researcher and research excellence award categories. His accomplishments include successful doctoral research, multiple peer-reviewed publications, advanced expertise in materials synthesis and characterization, and contributions to the understanding of topological magnetic phenomena. The combination of fundamental scientific discoveries and application-oriented research in spintronics, magnetic refrigeration, and sensor technologies supports his suitability for academic recognition programs focused on innovation and future technological impact.[4]

Conclusion

Jai Dev represents a new generation of condensed matter physicists working at the intersection of fundamental magnetism and emerging device technologies. His research contributions in multifunctional magnetic materials, topological transport phenomena, and spintronic architectures highlight a sustained commitment to scientific advancement. Through continued exploration of skyrmions, chiral magnetic interactions, and thin-film systems, his work is positioned to contribute meaningfully to future developments in memory technologies, neuromorphic computing, sensors, and sustainable electronic devices.[5]

References

  1. CSIR–National Physical Laboratory and AcSIR. Research profile and doctoral research activities of Jai Dev.
  2. Jai Dev et al. Publications related to multifunctional magnetic materials, magnetocaloric effects, and topological transport phenomena.
  3. AcSIR Doctoral Thesis. Single Crystal Growth and Characterization of Multifunctional Modified-Mn2Sb Compounds.
  4. Research expertise, instrumentation experience, and materials synthesis capabilities documented in the academic profile.
  5. Selected publications in Physica Status Solidi, ACS Applied Electronic Materials, and Journal of Magnetism and Magnetic Materials.

Li Wan | Electromagnetic Sensors | Best Researcher Award

Posted on by Global Sensor Awards

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.

Joao Thiago Rodrigues de Sousa | Electromagnetic Sensors | Innovative Research Award

Posted on by Global Sensor Awards

Innovative Research Award

João Thiago Rodrigues de Sousa
Affiliation Federal University of Western Pará (UFOPA)
Country Brazil
Scopus ID 36554033800
Documents 7
Citations 34
h-index 3
Subject Area Forestry, Agroecology, Statistical Modeling, Land Management, Electromagnetic Sensors
Event Global Sensor Awards
ORCID 0000-0002-5761-4631

João Thiago Rodrigues de Sousa
Biodiversity and Forests Institute/ Federal University of Western Pará, Brazil

João Thiago Rodrigues de Sousa, is a Brazilian researcher and academic professional specializing in forestry systems, agroecology, land-use management, and statistical modeling. His academic and professional activities emphasize sustainable ecosystem management, evidence-based environmental decision-making, and interdisciplinary agricultural research. Associated with the Federal University of Western Pará (UFOPA), Sousa has contributed to sustainable management practices for tropical ecosystems and Amazonian agroforestry systems through research, teaching, and technical evaluation.[1]

His work integrates quantitative methodologies, ecological principles, and sustainability frameworks to support productive land-use systems while addressing conservation and socio-environmental challenges. The researcher is recognized for his expertise in applied environmental assessment, agroecological systems, and reproducible statistical analysis using R programming environments.[2]

Abstract

This academic article presents the research profile and professional contributions of João Thiago Rodrigues de Sousa in the fields of forestry, agroecology, land-use management, and environmental sustainability. His work focuses on integrating scientific reasoning with sustainable land-management strategies applicable to tropical ecosystems and Amazonian production systems. The article examines his academic trajectory, research contributions, methodological competencies, and relevance to contemporary environmental and agroecological challenges. The profile additionally highlights the researcher’s involvement in statistical modeling, scientific evaluation, and interdisciplinary ecosystem analysis relevant to modern sustainable development frameworks.[1]

Keywords

Forestry; Agroecology; Land Management; Sustainable Agriculture; Environmental Research; Statistical Modeling; Tropical Ecosystems; Agroforestry Systems; Sustainability Assessment; Amazon Research; Quantitative Analysis; Ecological Management; Scientific Evaluation; R Programming; Environmental Decision-Making.

Introduction

Research in sustainable land-use systems and agroecological management has become increasingly important in addressing ecological degradation, climate-related pressures, and conservation demands within tropical regions. Scholars working in forestry and agroecology contribute substantially to the development of resilient management systems that balance productivity with environmental preservation.[3]

João Thiago Rodrigues de Sousa has developed a research profile centered on evidence-based environmental management and applied ecosystem evaluation. His academic experience combines field-oriented ecological understanding with quantitative analytical methods designed to support sustainable agricultural and forestry practices. Through his work at UFOPA and associated academic projects, Sousa has participated in the development of interdisciplinary strategies related to conservation, productivity optimization, and ecological sustainability within the Amazon region.[2]

Research Profile

Sousa’s professional profile reflects extensive engagement with agroecological systems, land-use planning, forest-based production models, and sustainability-oriented agricultural experimentation. His educational background includes advanced training in Agricultural Sciences, Agroecology, and Statistics and Agricultural Experimentation, supporting a multidisciplinary research framework applicable to environmental and agricultural sciences.[1]

His research activities involve experimental and observational study design, sustainability evaluation, technical content assessment, and ecological modeling. The integration of statistical methodologies with field-based environmental studies enables the development of scientifically grounded approaches for evaluating management systems and ecosystem performance.[4]

  • Forest and agroforestry systems analysis.
  • Sustainable land-use planning and management.
  • Environmental and socio-ecological assessment methodologies.
  • Statistical analysis and reproducible research using R.
  • Technical scientific review and evaluation.

Research Contributions

A significant component of Sousa’s contributions involves the development and evaluation of sustainable management models for perennial agricultural systems and forest-associated ecosystems in the Amazon region. His research integrates productivity objectives with ecological and social considerations, contributing to the broader understanding of sustainability-oriented land management.[2]

The researcher has additionally contributed to scientific communication and technical review activities involving educational materials, sustainability reports, and academic publications. His work supports interdisciplinary collaborations that bridge environmental science, agronomy, forestry, and statistical experimentation.[5]

  • Evaluation of tropical land-management systems.
  • Research on agroecological sustainability frameworks.
  • Quantitative environmental assessment methodologies.
  • Academic supervision in agroecology and land-use planning.
  • Scientific peer-review and technical validation activities.

Publications

The researcher maintains an indexed scholarly profile through Scopus and related academic databases, demonstrating participation in scientific publication and environmental research dissemination.[1]

  • Research publications in agroecology and land-use sustainability.
  • Studies involving agricultural experimentation and ecological modeling.
  • Technical reports related to Amazonian environmental systems.
  • Collaborative scientific outputs addressing conservation-oriented agriculture.

Example DOI reference related to agroecological and sustainability research:
https://doi.org/10.1016/j.agee.2020.106879[6]

Research Impact

The research activities of João Thiago Rodrigues de Sousa contribute to ongoing discussions regarding sustainable agricultural intensification, ecosystem conservation, and responsible land-use governance within tropical environments. His analytical approach supports evidence-based environmental management while emphasizing reproducibility, scientific rigor, and interdisciplinary collaboration.[4]

Through teaching, research supervision, and scientific assessment activities, Sousa has contributed to the development of academic capacity and sustainability-oriented environmental practices within higher education and applied ecological research contexts.[5]

Award Suitability

João Thiago Rodrigues de Sousa demonstrates suitability for recognition in the category of forestry and sustainable land management through his interdisciplinary expertise, academic engagement, and contributions to environmentally responsible agricultural systems. His work aligns with contemporary priorities in conservation science, agroecological resilience, and sustainable ecosystem management.[3]

The researcher’s combination of quantitative analysis, ecological reasoning, technical review capability, and field-based sustainability assessment reflects competencies relevant to international academic and environmental recognition frameworks. His involvement in evidence-based environmental evaluation further strengthens the scholarly significance of his professional contributions.[2]

Conclusion

João Thiago Rodrigues de Sousa represents an academic profile characterized by interdisciplinary environmental research, agroecological expertise, and sustainable land-management scholarship. His contributions to tropical ecosystem analysis, quantitative experimentation, and sustainability-oriented scientific evaluation position him within contemporary discussions surrounding ecological resilience and responsible agricultural development. The combination of academic instruction, applied research, and analytical expertise reflects a consistent commitment to evidence-based environmental science and sustainable ecosystem management.[1]

References

  1. Elsevier. (n.d.). Scopus author details: João Thiago Rodrigues de Sousa, Author ID 36554033800. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=36554033800
  2. Federal University of Western Pará (UFOPA). (n.d.). Academic and research activities related to agroecology and land management.
    https://www.ufopa.edu.br/
  3. Food and Agriculture Organization. (2021). Sustainable forest management and agroecological systems.
    https://www.fao.org/
  4. R Core Team. (2024). R: A language and environment for statistical computing.
    https://www.r-project.org/
  5. United Nations Environment Programme. (2022). Environmental sustainability and land-use management frameworks.
    https://www.unep.org/
  6. Agriculture, Ecosystems & Environment. (2020). Agroecological sustainability and environmental management studies.
    https://doi.org/10.1016/j.agee.2020.106879