Juliana Abraham | Biological Sensors | Best Researcher Award

Best Researcher Award

Juliana Abraham
Stevens Institute of Technology, United States

Juliana Abraham
Affiliation Stevens Institute of Technology
Country United States
Scopus ID 55627921800
Documents 18
Citations 436
h-index 12
Subject Area Biological Sensors
Event Global Sensor Awards
ORCID 0000-0003-4945-353X

The Best Researcher Award recognizes researchers whose scholarly work demonstrates sustained contributions to scientific knowledge, innovation, and academic advancement. Juliana Abraham, affiliated with Stevens Institute of Technology in the United States, has established a research profile associated with biological sensing technologies and interdisciplinary scientific investigations. Her academic activities reflect engagement in sensor-related research, scientific publication, collaboration, and knowledge dissemination within the broader research community.[1]

Abstract

Juliana Abraham’s academic profile illustrates research engagement within the field of biological sensors, an interdisciplinary area integrating biology, chemistry, engineering, and data analysis to develop technologies capable of detecting biological phenomena with high sensitivity and reliability. Recognition through the Best Researcher Award acknowledges scholarly productivity, research quality, academic leadership, and contributions to scientific advancement based on publicly available academic information and established scholarly metrics.[1]

Keywords

  • Biological Sensors
  • Biosensor Research
  • Sensor Technology
  • Biomedical Engineering
  • Scientific Research
  • Academic Publications
  • Research Innovation
  • Global Sensor Awards

Introduction

Biological sensing technologies have become increasingly important across healthcare, environmental monitoring, biotechnology, and analytical sciences. Researchers working within this discipline contribute to the development of reliable sensing systems capable of improving diagnostics, monitoring biological processes, and supporting scientific discovery. Academic recognition programs such as the Global Sensor Awards acknowledge researchers whose work contributes to the advancement of sensing science through scholarly publications, collaborations, and research excellence.[2]

Research Profile

Juliana Abraham is affiliated with Stevens Institute of Technology in the United States. Her scholarly profile is indexed through Scopus Author ID 55627921800 and ORCID identifier 0000-0003-4945-353X. These research identifiers facilitate transparency in publication tracking, citation analysis, author attribution, and collaboration across international scientific communities.[1]

Research Contributions

Research in biological sensing typically involves the design, evaluation, and optimization of analytical platforms capable of detecting biological targets with improved precision and reproducibility. Contributions in this field frequently encompass interdisciplinary collaboration among engineering, biological sciences, materials science, chemistry, and computational analysis. Such work supports advancements in healthcare diagnostics, biosensor development, environmental monitoring, and translational research.[2]

Publications

The research output associated with Juliana Abraham is documented through internationally recognized scholarly databases. Publication records, citation metrics, and author identifiers provide objective indicators of research dissemination while enabling the academic community to evaluate scholarly productivity and research influence over time.[1]

  • Peer-reviewed journal articles
  • Conference proceedings
  • Collaborative interdisciplinary publications
  • Research indexed in Scopus and ORCID

Research Impact

Research impact may be evaluated through publications, citations, collaboration networks, and continued engagement with scientific communities. Persistent author identifiers, bibliometric databases, and DOI-linked publications contribute to transparent assessment of scholarly influence while supporting reproducibility and discoverability across global research ecosystems.[3]

Award Suitability

Based on publicly available scholarly identifiers, institutional affiliation, and research focus within biological sensing, Juliana Abraham demonstrates characteristics commonly evaluated during academic recognition processes. The Best Researcher Award considers research quality, scholarly productivity, scientific contribution, innovation, professional integrity, and broader impact on the advancement of sensing technologies. Final award decisions remain subject to the official evaluation procedures established by the Global Sensor Awards.[4]

Conclusion

Juliana Abraham’s academic profile reflects participation in scientific research related to biological sensors and interdisciplinary sensing technologies. Through institutional affiliation, scholarly publications, and internationally recognized researcher identifiers, her work contributes to the ongoing development of scientific knowledge. Recognition through the Best Researcher Award represents an acknowledgement of sustained academic engagement within the global sensor research community.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Juliana Abraham, Author ID 55627921800. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=55627921800
  2. National Institute of Biomedical Imaging and Bioengineering. (n.d.). Biosensors and biomedical sensing technologies.
    https://www.nibib.nih.gov/
  3. Nature Reviews Materials. (2019). Advances in biosensing technologies.
    DOI: https://doi.org/10.1038/s41578-019-0150-1
  4. Global Sensor Awards. (n.d.). Best Researcher Award nomination and evaluation guidelines.

Selin Ursavaş | Biological Sensors | Best Researcher Award

Best Researcher Award

Selin Ursavaş
Affiliation Istanbul Aydin University
Country Turkey
Scopus ID 57222032489
Documents 2
Citations 37
h-index 1
Subject Area Biological Sensors
Event Global Sensor Awards
ORCID 0000-0002-6727-9048

Selin Ursavaş

Istanbul Aydin University, Turkey

Selin Ursavaş is an academic researcher affiliated with Istanbul Aydin University, Turkey, whose scholarly work contributes to the field of Biological Sensors. Her research activities emphasize scientific investigation, interdisciplinary collaboration, and the advancement of sensing technologies for biological and healthcare-related applications. Based on the available scholarly metrics, her Scopus profile records two indexed publications, thirty-seven citations, and an h-index of one, demonstrating measurable academic engagement within her research domain.[1]

Abstract

This academic profile summarizes the scholarly activities of Selin Ursavaş within the discipline of Biological Sensors. The article presents an overview of institutional affiliation, research specialization, publication metrics, academic impact, and professional recognition. The information is intended to provide a neutral and structured description suitable for academic reference and award evaluation while highlighting measurable scholarly contributions recorded through recognized research indexing services.[1]

Keywords

  • Biological Sensors
  • Biomedical Engineering
  • Sensor Technology
  • Scientific Publications
  • Research Impact
  • Academic Recognition

Introduction

Biological sensor technologies continue to play an important role in healthcare diagnostics, environmental monitoring, biotechnology, and analytical science. Researchers working in this discipline contribute to the development of sensing systems capable of improving accuracy, sensitivity, and reliability in biological measurements. Academic contributions in this field support scientific progress through experimental research, publication, collaboration, and innovation.[2]

Research Profile

Selin Ursavaş is affiliated with Istanbul Aydin University in Turkey. Her research interests are associated with Biological Sensors and related interdisciplinary scientific applications. According to publicly available indexing information, her Scopus profile includes two indexed documents with thirty-seven citations and an h-index of one. These metrics provide an overview of her documented scholarly activity and citation performance.[1]

Research Contributions

  • Research involving biological sensing methodologies and analytical technologies.
  • Participation in scientific publication and dissemination of research findings.
  • Support for interdisciplinary collaboration connecting biological sciences and sensor engineering.
  • Contribution to evidence-based scientific knowledge through peer-reviewed research.

Publications

The available Scopus record indicates two indexed scholarly publications. These publications collectively demonstrate participation in peer-reviewed academic research within the field of Biological Sensors. Readers are encouraged to consult the Scopus Author Profile and associated DOI records for complete bibliographic information.[1][3]

Research Impact

Citation metrics provide one indicator of scholarly visibility and knowledge dissemination. The citation record associated with Selin Ursavaş demonstrates that her published research has been referenced by other researchers, reflecting academic engagement within relevant scientific communities. Citation-based indicators should be interpreted alongside qualitative measures such as innovation, collaboration, and research significance.[1]

Award Suitability

The Best Researcher Award recognizes scholarly achievement, scientific integrity, and measurable research contributions. Based on the available academic information, Selin Ursavaş demonstrates documented research activity within Biological Sensors through indexed publications, citation performance, and institutional affiliation. These characteristics align with common academic evaluation criteria that emphasize research quality, scientific contribution, publication record, and professional engagement.[4]

Conclusion

Selin Ursavaş represents an emerging academic contributor in the field of Biological Sensors. Her scholarly profile, institutional affiliation, indexed publications, and citation metrics collectively provide evidence of active participation in scientific research. Continued publication, collaboration, and interdisciplinary investigation are expected to further strengthen her academic profile and contributions to sensor science.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Selin Ursavaş, Author ID 57222032489. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57222032489
  2. Nature Reviews Materials. (2021). Advances in biosensor technologies.DOI: https://doi.org/10.1038/s41578-021-00369-9
  3. ORCID. (n.d.). ORCID researcher profile.
    https://orcid.org/0009-0003-6542-6264
  4. Global Sensor Awards. (n.d.). International Research Awards and Recognition Program.

Leila Zaki | Biological Sensors | Best Researcher Award

Best Researcher Award

Leila Zaki
Affiliation Tarbiat Modares University
Country Iran
Scopus ID 57204106631
Documents 52
Citations 33,933
h-index 23
Subject Area Biological Sensors
Event Global Sensor Awards
ORCID Research Profile Available Through Institutional Records

Leila Zaki
Tarbiat Modares University

The Best Researcher Award profile recognizes the scholarly accomplishments of Leila Zaki, a researcher affiliated with Tarbiat Modares University, Iran. Her academic activities are associated with the field of biological sensors, an interdisciplinary area that combines analytical chemistry, biotechnology, materials science, and sensing technologies. The profile reflects documented scholarly output, citation influence, and research engagement as indexed through recognized academic databases.[1]

Abstract

This academic recognition profile summarizes the documented research achievements of Leila Zaki in the domain of biological sensor technologies. The profile highlights publication activity, citation performance, interdisciplinary research engagement, and the broader scientific significance of contributions related to biosensing systems and analytical detection methodologies. The evaluation framework aligns with internationally recognized research metrics and scholarly impact indicators.[1][2]

Keywords

Biological Sensors, Biosensors, Analytical Chemistry, Sensor Technology, Biomedical Diagnostics, Electrochemical Detection, Research Excellence, Scientific Publications, Citation Impact, Academic Recognition.

Introduction

Biological sensor research plays an important role in modern healthcare, environmental monitoring, food safety assessment, and diagnostic innovation. Researchers working in this area contribute to the development of advanced sensing platforms capable of detecting biological and chemical targets with high sensitivity and selectivity. Through sustained scholarly activity, Leila Zaki has contributed to the scientific literature associated with biosensor technologies and related analytical methodologies.[2]

Research Profile

The research profile demonstrates a documented record of 52 indexed publications and more than 33,000 citations attributed across over 31,000 citing documents. An h-index of 23 indicates measurable scholarly influence and sustained engagement within the scientific community. Such metrics are commonly utilized to evaluate research productivity, visibility, and citation performance across academic disciplines.[1][3]

Research Contributions

Research contributions associated with biological sensors often involve the design of novel sensing materials, signal transduction mechanisms, bio-recognition interfaces, and analytical performance optimization. Publications linked to this field contribute to improved detection accuracy, lower detection limits, and enhanced applicability of biosensors in clinical and industrial environments. The documented scholarly record suggests participation in advancing scientific understanding within these areas.[4]

Interdisciplinary collaboration remains an important characteristic of biosensor research because successful sensor development frequently requires expertise from chemistry, biology, engineering, and materials science. Such integration contributes to the translation of laboratory research into practical technologies and real-world applications.[5]

Publications

The publication portfolio associated with this profile encompasses peer-reviewed scholarly works addressing topics related to biosensing technologies, analytical platforms, biomolecular recognition systems, and sensor-based detection methods. Academic publications provide an essential mechanism for disseminating scientific knowledge, enabling replication, validation, and continued advancement within the field.[2][4]

Research Impact

Research impact may be evaluated through citation analysis, scholarly visibility, publication quality, and influence on subsequent scientific investigations. The citation metrics associated with this profile indicate broad engagement with the published work by researchers across related disciplines. Citation-based indicators should be interpreted alongside qualitative assessments of scientific contribution and innovation.[3]

The continued relevance of biological sensor technologies in healthcare, diagnostics, environmental science, and biotechnology further supports the significance of ongoing research efforts in this domain. Contributions to these areas may facilitate technological progress and support evidence-based scientific development.[5]

Award Suitability

Based on the documented scholarly record, publication activity, citation performance, and disciplinary relevance, Leila Zaki demonstrates characteristics commonly considered during academic recognition and award evaluations. The profile aligns with criteria frequently associated with research excellence, scientific influence, knowledge dissemination, and contributions to the advancement of biological sensor research. Consideration within the context of the Global Sensor Awards is therefore consistent with recognized indicators of academic achievement.[1]

Conclusion

This profile presents a structured overview of Leila Zaki’s documented academic contributions within the field of biological sensors. Through scholarly publications, citation influence, and interdisciplinary engagement, the researcher has established a measurable presence within the scientific community. The available indicators support recognition within professional and academic award frameworks focused on research excellence and innovation.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Leila Zaki, Author ID 57204106631. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57204106631
  2. Turner, A. P. F. (2013). Biosensors: Fundamentals and applications in analytical science.
  3. Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output.
  4. Wang, J. (2006). Analytical electrochemical techniques for biosensor development.
  5. Dincer, C., Bruch, R., Costa-Rama, E., et al. (2019). Disposable sensors in diagnostics and environmental monitoring.

Dae Woo Park | Biological Sensors | Best Researcher Award

Dae Woo Park
Affiliation National Cancer Center
Country South Korea
Scopus ID 57659673100
Documents 15
Citations 145 Citations by 135 Documents
h-index 6
Subject Area Biological Sensors
Event Global Sensor Awards
ORCID Profile Link

Best Researcher Award

Dae Woo Park
National Cancer Center, South Korea

Dae Woo Park
is a researcher affiliated with National Cancer Center, South Korea, whose academic activities have contributed to the advancement of biological sensor technologies and related scientific investigations. This profile summarizes scholarly achievements, publication activity, citation performance, and research impact within the context of academic recognition and professional excellence.[1][2]

Abstract

This academic profile presents an overview of Dae Woo Park’s research achievements and scholarly engagement in the field of biological sensors. It highlights publication productivity, citation metrics, research dissemination, and contributions to sensor science, biomedical applications, and interdisciplinary technological development.[1][3]

Keywords

Biological Sensors, Biosensor Technology, Cancer Research, Scientific Publications, Citation Analysis, Research Excellence, Academic Recognition, Biomedical Engineering, Sensor Innovation, Scholarly Impact.

Introduction

The development of biological sensors has become increasingly important for healthcare diagnostics, disease monitoring, and biomedical research. Researchers contributing to this field support scientific progress through innovation, interdisciplinary collaboration, and the dissemination of evidence-based findings. Dae Woo Park’s academic profile reflects participation in these ongoing scientific endeavors.[4][5]

Research Profile

According to indexed scholarly records, Dae Woo Park has authored or co-authored 15 documents and accumulated 145 citations from 135 citing documents. The researcher holds an h-index of 6, reflecting measurable scholarly influence and engagement within the research community.[1][3]

Research Contributions

Research contributions attributed to Dae Woo Park are associated with biological sensor technologies, biomedical diagnostics, and scientific innovation. Such work supports the development of analytical methods and sensor platforms that contribute to improved detection, monitoring, and understanding of biological processes and disease-related biomarkers.[5]

Publications

The publication record demonstrates sustained engagement in scholarly communication through peer-reviewed articles and scientific dissemination. Publications contribute to the body of knowledge in biological sensors and facilitate collaboration, validation, and future research within the scientific community.[1]

Research Impact

Citation metrics provide one measure of research visibility and scholarly engagement. The documented citation record associated with Dae Woo Park indicates that published work has been referenced by researchers across multiple studies and academic publications, reflecting continuing relevance within scientific literature.[1][3]

Award Suitability

Evaluation for a Best Researcher Award typically considers research productivity, citation influence, subject expertise, and contribution to scientific advancement. Based on available bibliometric indicators and documented scholarly activities, Dae Woo Park demonstrates characteristics frequently considered within academic recognition frameworks. This profile is descriptive and does not constitute an official award determination.[2][4]

Conclusion

Dae Woo Park’s academic profile reflects documented research activity in biological sensors, publication output, and measurable citation impact. Through scholarly contributions and scientific engagement, the researcher has participated in advancing knowledge within a significant area of biomedical and sensor science. Recognition initiatives such as the Global Sensor Awards provide a platform for highlighting achievements in research and innovation.[1][2]

References

  1. Elsevier. (n.d.). Scopus Author Details: Dae Woo Park, Author ID 57659673100. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57659673100
  2. Global Sensor Awards. (n.d.). Recognition Program for Excellence in Sensor Science and Innovation.
    https://globalsensorawards.com/
  3. Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences, 102(46), 16569–16572.
  4. Moed, H. F. (2005). Citation Analysis in Research Evaluation.
  5. Turner, A. P. F. Biosensors: Fundamentals and Applications in Modern Diagnostics.

Li-Chung Pien | Biological Sensors | Best Researcher Award

Best Researcher Award

Li-Chung Pien
Department of Nursing, College of Medicine, National Cheng Kung University (NCKU), Taiwan

Li-Chung Pien
Affiliation National Cheng Kung University (NCKU)
Country Taiwan
Scopus ID 54388391800
Documents 47
Citations 925
h-index 16
Subject Area Psychiatric Nursing, Occupational Health, Nursing Education, Biological Sensors
Event Global Sensor Awards
ORCID 0000-0002-4918-8935

Li-Chung Pien is a Taiwanese nursing scholar and researcher whose academic contributions span psychiatric nursing, occupational health, psychosocial workplace hazards, nursing education innovation, and healthcare workforce development. His research has focused on workplace violence, burnout, incivility, psychological capital, and AI-assisted nursing education. Through interdisciplinary collaborations and extensive publication activity in internationally indexed journals, he has contributed to evidence-based nursing practice and healthcare policy development.[1]

Abstract

Li-Chung Pien has established a multidisciplinary research profile combining psychiatric nursing, occupational health, nursing management, educational innovation, and healthcare workforce studies. His work addresses psychosocial workplace hazards affecting nurses and healthcare professionals while simultaneously advancing nursing education through artificial intelligence, simulation-based learning, and flipped classroom methodologies. Through national and international collaborations, funded research projects, editorial leadership, and peer-reviewed publications, he has contributed to strengthening evidence-based nursing practice and workforce well-being.[2]

Keywords

Psychiatric Nursing, Occupational Health, Nursing Education, Artificial Intelligence, Workplace Violence, Burnout, Psychological Capital, Workplace Incivility, Mental Health Nursing, Multilevel Analysis, Scale Development, Healthcare Workforce Research.

Introduction

The growing complexity of healthcare environments requires evidence-based approaches to improve workforce resilience, patient care quality, and nursing education. Li-Chung Pien’s research addresses these challenges through investigations into occupational psychosocial risks, workplace culture, mental health nursing, and technology-enhanced education. His work contributes to understanding the relationship between workplace conditions and nursing outcomes while supporting innovation in nursing training and professional development.[3]

Research Profile

Dr. Pien obtained a Bachelor of Science in Nursing from Taipei Medical University in 2001, a Master of Science in Psychiatric Nursing in 2009, and a Ph.D. in Health Policy and Management from National Taiwan University in 2016. His academic career includes appointments at Taipei Medical University and National Cheng Kung University, where he currently serves as Associate Professor in the Department of Nursing.[2]

  • Principal investigator of multiple national grant-funded projects.
  • Editorial Board Member of Journal of Nursing Management and BMC Nursing.
  • Reviewer for leading international nursing journals.
  • Research collaborator across Taiwan and international healthcare institutions.

Research Contributions

His research contributions focus on psychosocial occupational hazards among healthcare workers, including workplace violence, incivility, burnout, emotional exhaustion, and job satisfaction. He has investigated the impact of organizational environments on nursing retention and workforce sustainability. In parallel, he has pioneered educational initiatives utilizing generative artificial intelligence, chatbot-assisted learning, simulation-based instruction, and flipped classroom methodologies for psychiatric nursing education.[4]

  • AI-PsychLine project integrating generative AI and LINE Bot technology.
  • Research on workplace violence and occupational mental health.
  • Development and validation of nursing assessment scales.
  • Application of multilevel statistical analysis in healthcare research.
  • Evidence-based interventions for nurse resilience and psychological capital.

Publications

Dr. Pien has authored more than 35 peer-reviewed publications in SCI, SSCI, and Scopus-indexed journals. His work has appeared in internationally recognized journals including the Journal of Advanced Nursing, International Journal of Nursing Studies, Journal of Occupational and Environmental Medicine, International Journal of Mental Health Nursing, BMC Nursing, and Journal of Nursing Management.[5]

  • Journal of Advanced Nursing
  • International Journal of Nursing Studies
  • Journal of Occupational and Environmental Medicine
  • BMC Nursing
  • International Journal of Mental Health Nursing
  • Journal of Psychiatric and Mental Health Nursing

A notable recent publication examined workplace incivility and its association with nurses’ job satisfaction and turnover intentions in Taiwan.[6]

Research Impact

The impact of Dr. Pien’s work extends across nursing practice, workforce management, mental health promotion, and educational innovation. His findings have informed discussions regarding nurse retention, workplace safety, and psychosocial risk management. His research has also supported the adoption of digital technologies and AI-enabled learning tools within nursing education programs. These contributions are relevant to healthcare institutions seeking sustainable workforce development and improved clinical education outcomes.[3]

Award Suitability

Li-Chung Pien demonstrates qualifications aligned with the Excellence in Research Award category through sustained scholarly productivity, leadership of externally funded research projects, editorial service, interdisciplinary collaboration, and contributions to healthcare innovation. His integration of artificial intelligence into nursing education and his extensive research on occupational health challenges within healthcare settings represent notable examples of contemporary research addressing practical societal needs.[4]

Conclusion

Dr. Li-Chung Pien has developed a distinguished academic profile characterized by contributions to psychiatric nursing, occupational health research, workforce well-being, and nursing education innovation. Through extensive publication activity, collaborative research networks, and leadership in emerging educational technologies, he continues to contribute to advancing healthcare research and professional nursing practice in Taiwan and internationally.[1]

References

  1. National Cheng Kung University. (2026). Faculty Profile: Li-Chung Pien.
    https://www.ncku.edu.tw
  2. Li-Chung Pien. Academic and professional background information submitted for the International Research Awards on Sensing Technology nomination dossier.
  3. Research project summaries and occupational health nursing studies conducted through National Cheng Kung University and collaborating institutions.
  4. Ministry-funded educational innovation projects integrating generative AI, LINE Bot systems, simulation-based learning, and flipped classroom methodologies.
  5. Elsevier. (n.d.). Scopus author details: Li-Chung Pien, Author ID 54388391800. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=54388391800
  6. Bai, Tseng, Cheng & Pien. (2026). Workplace Incivility and Nurses’ Job Satisfaction and Leaving Intentions in Taiwan. Journal of Advanced Nursing.
    https://doi.org/10.1111/jan.70641

Michelle Kondo | Biological Sensors | Excellence in Innovation

Dr. Michelle Kondo | Biological Sensors | Excellence in Innovation

Research Social Scientist at USDA Forest Service, United States

Dr. Michelle Kondo is a prominent researcher known for her work in the field of urban health and environmental sustainability. She has made significant contributions to understanding the impact of green spaces on human health, particularly in urban settings. Dr. Kondo’s research focuses on nature-based interventions for disease, injury, and violence prevention, as well as the relationship between urban greenery and mental health. She has received several awards and honors for her work, including being recognized in the Top 10 Most Highly Cited Articles in Health & Place journal and receiving the Outstanding Experimental Field Trial award from the American Society of Criminology. Dr. Kondo’s research has been published in prestigious journals such as the American Journal of Public Health and the Lancet Planetary Health. In addition to her research, Dr. Kondo is actively involved in academic and community outreach. She has served as a faculty partner at the Urban Health Lab at the University of Pennsylvania and as an affiliate faculty member at Drexel University. Dr. Kondo’s work has had a significant impact on urban planning and public health policy, making her a leading figure in the field of urban health research.

Professional Profile

Education: 🎓

Dr. Michelle Kondo earned her Bachelor of Science in Civil & Environmental Engineering from Carnegie Mellon University in 1999. She then pursued her Master of Urban Planning in Urban Design & Planning at the University of Washington, graduating in 2001. Dr. Kondo continued her studies at the University of Washington, completing her Ph.D. in Urban Design & Planning in 2008, with a certificate in Urban Ecology. She furthered her research at the University of Pennsylvania, where she completed a postdoctoral fellowship in Social Policy & Practice in 2012, followed by another postdoctoral fellowship in Epidemiology & Biostatistics in 2014.

Work Experiences:👨‍🏫

Since 2020, she has been a Faculty Partner at the Urban Health Lab, University of Pennsylvania, where she contributes to cutting-edge research in urban health. Simultaneously, since 2017, Dr. Kondo has served as an Affiliate Faculty member at Drexel University Department of Environmental and Occupational Health, further expanding her impact in the field. Her longstanding commitment to research is evident in her role as a Research Social Scientist at the USDA Forest Service, Northern Research Station, since 2014, where she explores the intersection of nature and health. Dr. Kondo’s academic contributions extend to her role as an Adjunct Scholar at the Center for Clinical Epidemiology & Biostatistics, University of Pennsylvania, where she engages in collaborative research initiatives. In 2018, Dr. Kondo took a long-term training/sabbatical at the Barcelona Institute of Global Health, enriching her perspective and expertise in global health issues. Her dedication to public health is further demonstrated by her tenure as an Associate Fellow at the Center for Public Health Initiatives, University of Pennsylvania, from 2010 to 2018, where she actively contributed to public health initiatives. Dr. Kondo’s commitment to teaching and knowledge dissemination is evident in her role as the Lead GPS/GIS Instructor at the Guatemala Health Initiative, University of Pennsylvania, from 2012 to 2013.

Teaching Experience:📈

Dr. Michelle Kondo has extensive experience teaching graduate courses in various institutions. At Drexel University, she taught “Advanced GIS Methods in Public Health” in both the MPH program and the Urban Health Collaborative Summer Institute. At the University of Pennsylvania, Dr. Kondo taught “American Racism in Social Work Practice” and “Understanding Social Change: Issues of Race and Gender” in the MSW program. Additionally, she taught “Ethics in Public and Non-Profit Administration” at Seattle University in the MPA program, along with “Introduction to GIS” at the same institution.

Research interests:

Dr. Michelle Kondo’s research interests include the intersection of nature and health, with a focus on developing place- and nature-based interventions for disease, injury, and violence prevention. She is particularly interested in exploring the effectiveness of nature prescriptions to support mental and physical health. Dr. Kondo also specializes in geospatial and community-based research methods, which she employs to study the relationship between natural environments and public health outcomes.

Honors:

Dr. Michelle Kondo has been recognized with several prestigious honors for her impactful research. In 2023, her work was acknowledged in the Top 10 Most Highly Cited Articles in the Health & Place journal for its examination of the relationship between spending time outdoors and stress reduction. In 2020, she received the Outstanding Experimental Field Trial award from the American Society of Criminology for a study conducted by Branas et al. in 2018. Her exceptional contributions were further highlighted in 2016 when she was awarded the Excellence in GSI Award for Best Research Paper by the Sustainable Business Network of Greater Philadelphia, recognizing her publication in the American Journal of Public Health from 2015. Additionally, in the same year, she was a finalist for the Excellence in GSI Award for another notable paper published in the Journal of Environmental Quality. Dr. Kondo’s remarkable achievements were also acknowledged in 2015 with an Honorable Mention for the Scientific and Technological Achievement Awards (STAA) from the U.S. EPA Office of Research and Development for her work published in Health & Place.

 

Publications:📄

Urban green space and its impact on human health – MC Kondo, JM Fluehr, T McKeon, CC Branas. International Journal of Environmental Research and Public Health, 2018. [Citations: 946, Year: 2018]

Citywide cluster randomized trial to restore blighted vacant land and its effects on violence, crime, and fear – CC Branas, E South, MC Kondo, BC Hohl, P Bourgois, DJ Wiebe, et al. Proceedings of the National Academy of Sciences, 2018. [Citations: 367, Year: 2018]

Effect of greening vacant land on mental health of community-dwelling adults: a cluster randomized trial – EC South, BC Hohl, MC Kondo, JM MacDonald, CC Branas. JAMA Network Open, 2018. [Citations: 326, Year: 2018]

Does spending time outdoors reduce stress? A review of real-time stress response to outdoor environments – MC Kondo, SF Jacoby, EC South. Health & Place, 2018. [Citations: 250, Year: 2018]

Effects of greening and community reuse of vacant lots on crime – M Kondo, B Hohl, SH Han, C Branas. Urban Studies, 2016. [Citations: 185, Year: 2016]

Urban blight remediation as a cost-beneficial solution to firearm violence – CC Branas, MC Kondo, SM Murphy, EC South, D Polsky, JM MacDonald. American Journal of Public Health, 2016. [Citations: 166, Year: 2016]

Green space and mortality in European cities: a health impact assessment study – EP Barboza, M Cirach, S Khomenko, T Iungman, N Mueller, et al. The Lancet Planetary Health, 2021. [Citations: 160, Year: 2021]

Neighborhood interventions to reduce violence – MC Kondo, E Andreyeva, EC South, JM MacDonald, CC Branas. Annual Review of Public Health, 2018. [Citations: 154, Year: 2018]

Protecting the idyll but not the environment: Second homes, amenity migration and rural exclusion in Washington State – MC Kondo, R Rivera, S Rullman Jr. Landscape and Urban Planning, 2012. [Citations: 152, Year: 2012]

Neighborhood blight, stress, and health: a walking trial of urban greening and ambulatory heart rate – EC South, MC Kondo, RA Cheney, CC Branas. American Journal of Public Health, 2015. [Citations: 151, Year: 2015]

The impact of green stormwater infrastructure installation on surrounding health and safety – MC Kondo, SC Low, J Henning, CC Branas. American Journal of Public Health, 2015. [Citations: 130, Year: 2015]

A difference-in-differences study of the effects of a new abandoned building remediation strategy on safety – MC Kondo, D Keene, BC Hohl, JM MacDonald, CC Branas. PloS One, 2015. [Citations: 120, Year: 2015]

The association between urban trees and crime: Evidence from the spread of the emerald ash borer in Cincinnati – MC Kondo, SH Han, GH Donovan, JM MacDonald. Landscape and Urban Planning, 2017. [Citations: 112, Year: 2017]

 

 

Heba-Allah El-Sayed | Biological Sensors Award | Best Researcher Award

Dr. Heba-Allah El-Sayed | Biological Sensors Award | Best Researcher Award

Assistant researcher at Agriculture Research Center, Egypt

Dr. Heba-Allah El-Sayed is a dedicated researcher with a background in entomology, specializing in honey bee health and beekeeping. She holds a Ph.D. in Entomology from Cairo University, with a focus on the antiviral properties of Egyptian propolis and bee venom on honey bee health. Heba-Allah has extensive experience in laboratory work, including diagnosing diseases and pests of honey bees, RNA and DNA extraction, and gene expression analysis. She is proficient in using laboratory equipment such as PCR machines and spectrophotometers. Heba-Allah is also skilled in raising queens in apiaries and has experience in chemical analysis of honey bee products. She is fluent in Arabic and has a good command of English. Heba-Allah is known for her strong communication skills, ability to work well in a team, and her ambition to contribute significantly to her field.

Professional Profile

Education:

Heba-Allah El-Sayed has an impressive academic background, culminating in a Ph.D. in Entomology from Cairo University in 2023. Her doctoral thesis, titled “In Vivo and in Vitro Evaluation of the Effect of Egyptian Propolis and Bee Venom on the Honey Bee (Apis mellifera L.) Health,” delved into the chemical profile of honey bee venom (HBV) and Egyptian ethanolic propolis extract (EP) using advanced analytical techniques like FTIR spectroscopy, GC-MS, and HPLC. The study identified methyl gallate and phthalic acid in EP and demonstrated the antiviral activity of both HBV and EP against honey bee cell lines infected with DWV, BQCV, VDV-1, and KV, as detected by RT-PCR and RT-qPCR. Moreover, the research showed that HBV and EP could improve cell health and increase the lifespan, activities, and density of bee workers when used as supplements in bee nutrition. These findings suggest potential applications of HBV and EP as supplements and antiviral drugs in honeybee apiaries. Prior to her Ph.D., Heba-Allah completed her Master’s degree, focusing on the detection of Deformed wing virus (DWV) and Kakugo virus (KV) in honeybees in Egypt. Her thesis, titled “First detection of Deformed wing virus (DWV) and Kakugo virus (KV) in honeybees (Apis mellifera L.) (Hymenoptera-Apidae) in Egypt by RT-PCR,” utilized molecular techniques to isolate and identify these viruses, providing valuable insights into their presence and prevalence in Egyptian honeybee populations. Heba-Allah’s academic journey began with a Bachelor of Science degree from Cairo University in 2007, laying the foundation for her subsequent research and achievements in the field of Entomology. She has also contributed to published research articles, including a recent publication on the antiviral activities of Egyptian ethanolic propolis extract and honey bee venom against honey bees infected with multiple viruses in vitro.

Research:

Heba-Allah El-Sayed has been actively involved in research, demonstrating a high level of participation and contribution. She has conducted all laboratory work, showcasing her hands-on expertise and proficiency in various experimental techniques and methodologies. Additionally, Heba-Allah has been instrumental in generating ideas and contributing to the writing process of research projects. Her involvement in both the practical and theoretical aspects of research highlights her comprehensive understanding and commitment to advancing scientific knowledge in the field of Entomology.

Work Experiences:

Heba-Allah El-Sayed possesses a wealth of practical experience in the field of Entomology, particularly in diagnosing diseases and pests of honey bees. She has conducted laboratory molecular and microscopic biological examinations to identify viral, bacterial, fungal, and external and internal parasitic infections in honey bee populations. Additionally, Heba-Allah is proficient in RNA and DNA extraction, cDNA conversion, and amplification templates using RT-PCR. She has also conducted gene expression analyses and developed standard curves for viruses in laboratory settings. Heba-Allah has hands-on experience in cultivating cells and tissues, as well as a deep understanding of the anatomy of insects, specifically honey bees. Her practical skills extend to raising queens in apiaries, showcasing her expertise in beekeeping practices. Moreover, Heba-Allah has sufficient experience in conducting chemical analyses of honey bee products in laboratory settings, highlighting her comprehensive skill set in bee-related research. She is adept at using various laboratory devices, including conventional PCR and quantitative RT-PCR machines, gel and protein electrophoresis equipment, and spectrophotometers. These experiences demonstrate her proficiency in employing advanced laboratory techniques and equipment to further her research objectives. Heba-Allah is also actively engaged in professional development, having attended the online workshop “Winter school of Bioinformatics” Level 1, organized by the Elite Scientists Platform (ESP) in 2022. Additionally, she has served as a trainer in chemical analysis for honeybee products, further showcasing her commitment to sharing knowledge and expertise within the scientific community.

Skills:

Heba-Allah El-Sayed is proficient in Arabic, her mother tongue, and has a good command of English. She also has elementary proficiency in French. In terms of computer skills, Heba-Allah has completed a course in Digital Transformation in 2023 and received the ICDL certification in 2010. She possesses a very good knowledge of Microsoft Windows Vista and Microsoft Office 2007 and 2013, along with extensive experience in using the Internet. Heba-Allah is also skilled in typing. On a personal level, Heba-Allah demonstrates strong communication and presentation skills, making her adept at conveying complex information effectively. She has a high ability to instruct others in her field of specialization, indicating her proficiency in knowledge sharing and teaching. Heba-Allah works well in groups, displaying a helpful and collaborative attitude towards team members. She excels at working under pressure, demonstrating resilience and a strong work ethic. Heba-Allah is known for her punctuality and dedication to her work. She possesses advanced research abilities and is driven by ambition to achieve her goals.

Publications:

Effect of honeybee venom and Egyptian propolis on the honeybee (Apis mellifera L.) health in vivo

Authors: H. Seyam, A.A.A. Metwally, A.H. El-Deeb, M.S. Badr, E.M. Abd-El-Samie

Journal: Egyptian Journal of Biological Pest Control

Year: 2022

Citations: 1

Molecular characterization of viruses found in honeybee (Apis mellifera) colonies infested with Varroa destructor and Nosema cerana in Egypt

Authors: E.M. Abd-El-Samie, N.K. Basuny, H. Seyam

Journal: Molecular and Cellular Probes

Year: 2021

Citations: 4

First detection of deformed wing and kakugo viruses in honeybees (Apis mellifera L.) in Egypt by real-time polymerase chain reaction (RT-PCR)

Authors: E.M. Abd-El-Samie, F.K. Adham, S. El-Mohandes, H. Seyam

Journal: African Journal of Biotechnology

Year: 2017

Citations: Not specified