Sinan Sousan | Environmental Science | Innovative Research Award

Posted on by Phenomenological Research

Innovative Research Award

Sinan Sousan

East Carolina University, United States

Sinan Sousan
Affiliation East Carolina University
Country United States
Scopus ID 55501674300
Documents 43
Citations 1,178
h-index 17
Subject Area Environmental Science
Event International Phenomenological Research Awards
ORCID 0000-0001-5524-6911
Google Scholar 4iw8p-YAAAAJ

Sinan Sousan is an environmental health scientist and academic affiliated with East Carolina University, United States. His scholarly work focuses on aerosol science, occupational and environmental health, low-cost air quality monitoring technologies, exposure assessment, environmental epidemiology, heat stress evaluation, and airborne contaminant research. Through sustained contributions to environmental science and public health, he has developed a significant research portfolio that includes peer-reviewed publications, student mentorship, interdisciplinary collaborations, patent-related innovations, and funded research initiatives. His scholarly impact is reflected in a substantial citation record and recognized contributions to aerosol measurement methodologies and environmental exposure science.[1][2]

Abstract

This article documents the academic achievements, scientific contributions, research leadership, educational activities, and scholarly impact of Sinan Sousan in the field of environmental science. His work has primarily focused on aerosol monitoring technologies, occupational exposure assessment, air quality evaluation, environmental health protection, and the development of practical tools for public health applications. His publication record, citation performance, mentorship activities, research innovation, and service to professional organizations collectively demonstrate a sustained commitment to advancing environmental and occupational health research.[1][2]

Keywords

Environmental Science; Aerosol Science; Occupational Health; Air Quality Monitoring; Exposure Assessment; Public Health; Environmental Health; Low-Cost Sensors; Aerosol Instrumentation; Heat Stress Monitoring; Airborne Contaminants; Environmental Epidemiology.

Introduction

Sinan Sousan has established a multidisciplinary academic career spanning environmental science, occupational health, aerosol engineering, and public health. His educational background includes degrees in chemical engineering and chemical and biochemical engineering from the University of Baghdad and the University of Iowa. Following doctoral and postdoctoral training, he held research and academic appointments in the United States and Iraq before joining East Carolina University as Assistant Professor in Environmental and Occupational Health. His research activities have integrated engineering principles with public health applications to address challenges associated with airborne contaminants, aerosol characterization, environmental exposures, and workplace health protection.[1]

Research Profile

The research profile of Sinan Sousan reflects expertise in aerosol science, environmental exposure assessment, occupational hygiene, environmental monitoring technologies, and public health interventions. His work encompasses laboratory experimentation, field investigations, sensor validation, airborne particulate characterization, environmental surveillance, and technology development. In addition to research activities, he has served as educator, mentor, reviewer, committee member, and collaborator across multiple interdisciplinary initiatives involving environmental health and human exposure science.[1]

  • Assistant Professor at East Carolina University.
  • Co-lead of Climate Change and Airborne Contaminants Research Interest Group.
  • Research mentor for graduate and undergraduate students.
  • Contributor to environmental exposure monitoring technologies.
  • Reviewer for numerous international scientific journals.

Research Contributions

His research contributions have focused on improving measurement approaches for aerosols and particulate matter exposure in environmental and occupational settings. He has investigated the performance of low-cost aerosol sensors, consumer monitoring devices, optical particle counters, and portable aerosol spectrometers. These studies have supported the development of cost-effective monitoring strategies for environmental health research and exposure assessment applications.[3][4]

Additional research activities include heat stress assessment tools, airborne infectious disease monitoring, pesticide exposure characterization, environmental surveillance technologies, and the development of innovative wind tunnel systems for evaluating insecticide performance. His work has also contributed to investigations involving COVID-19 detection through HVAC systems and environmental exposure monitoring in community settings.[2]

Publications

Among his most influential scholarly works are studies evaluating aerosol monitoring technologies and low-cost environmental sensing devices. These publications have received substantial citation attention and have contributed to methodological improvements in occupational and environmental exposure assessment.[3][4][5]

  • Inter-comparison of low-cost sensors for measuring the mass concentration of occupational aerosols (2016).
  • Evaluation of the Alphasense optical particle counter (OPC-N2) and the Grimm portable aerosol spectrometer (PAS-1.108) (2016).
  • Evaluation of consumer monitors to measure particulate matter (2017).

Research Impact

Research impact may be assessed through citation metrics, publication influence, mentoring activities, innovation outputs, and service contributions. With more than one thousand citations and an h-index of 17, Sinan Sousan has contributed research findings that have been referenced across environmental science, aerosol science, occupational health, and exposure assessment literature. His work has supported the validation of practical monitoring technologies used by researchers, public health practitioners, and environmental professionals.[1][2]

His mentoring record includes supervision of doctoral, master’s, professional paper, honors thesis, and research assistant projects. The successful completion of student research projects, conference presentations, awards, and academic recognitions demonstrates an ongoing contribution to workforce development in environmental and occupational health disciplines.

Award Suitability

The scholarly profile of Sinan Sousan aligns with the objectives commonly associated with research recognition programs that emphasize innovation, scientific productivity, mentorship, public health relevance, and interdisciplinary collaboration. His contributions include influential peer-reviewed publications, environmental monitoring innovations, student mentorship, professional service, and recognition through institutional and professional awards. These accomplishments provide evidence of sustained academic engagement and impactful research activity relevant to environmental and occupational health sciences.[1][2]

Conclusion

Sinan Sousan has developed a notable academic record characterized by research productivity, interdisciplinary collaboration, innovation in environmental monitoring technologies, student mentorship, and service to the scientific community. His contributions to aerosol science, occupational health, and environmental exposure assessment have advanced understanding of practical monitoring approaches and environmental health protection. The combination of scholarly output, citation impact, educational leadership, and innovation supports recognition within academic and research award programs.[1][2]

References

  1. Elsevier. (n.d.). Scopus author details: Sinan Sousan, Author ID 55501674300. Scopus. https://www.scopus.com/pages/authors/55501674300
  2. Google Scholar. (n.d.). Scholar profile of Sinan Sousan. https://scholar.google.com/citations?user=4iw8p-YAAAAJ&hl=en&oi=sra
  3. Sousan, S., Koehler, K., Thomas, G., Park, J.H., Hillman, M., Halterman, A., et al. (2016). Inter-comparison of low-cost sensors for measuring the mass concentration of occupational aerosols. Aerosol Science and Technology, 50(5), 462–473. DOI: https://doi.org/10.1080/02786826.2016.1162901
  4. Sousan, S., Koehler, K., Hallett, L., & Peters, T.M. (2016). Evaluation of the Alphasense optical particle counter (OPC-N2) and the Grimm portable aerosol spectrometer (PAS-1.108). Aerosol Science and Technology, 50(12), 1352–1365. DOI: https://doi.org/10.1080/02786826.2016.1232859
  5. Sousan, S., Koehler, K., Hallett, L., & Peters, T.M. (2017). Evaluation of consumer monitors to measure particulate matter. Journal of Aerosol Science, 107, 123–133. DOI: https://doi.org/10.1016/j.jaerosci.2017.02.013

Ranran Li | Environmental Science | Young Scientist Award

Posted on by Phenomenological Research

Mr. Ranran Li | Environmental Science | Young Scientist Award 

Associate Professor at Yanshan University | China

Mr. Ranran Li is a distinguished scholar and master supervisor who received his Ph.D. in Economics from Dongbei University of Finance and Economics and is recognized as an excellent talent under the Yanshan Scholars program at Yanshan University. As a CCF member, he has built an influential research profile with 1,254 citations across 1,074 documents, 28 publications, and an h-index of 16, reflecting the high impact of his work, and his scholarly contributions continue to influence the field despite the View h-index button being disabled in preview mode. Professionally, Mr. Ranran Li serves as an anonymous reviewer for leading journals including Technovation, Technological Forecasting and Social Change, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Neural Networks and Learning Systems, Applied Energy, Energy, Journal of Cleaner Production, and many others, demonstrating his authority and expertise in his domain. His research interests encompass energy demand forecasting, environmental comprehensive evaluation, financial risk early-warning, and air pollution monitoring and management, with extensive experience leading projects funded by national and provincial foundations, including studies on air environment governance, urban environmental system evaluation, carbon emission rights allocation, and wind energy resource assessment using machine learning and intelligent optimization algorithms. He has also guided students to success in national and international modeling competitions, exemplifying his mentorship in applied research and mathematical modeling. Mr. Ranran Li’s research skills include multi-objective optimization, fuzzy synthetic evaluation, hybrid forecasting models, support vector machines, neural networks, and data-driven predictive modeling, enabling him to address complex problems in energy, environment, and financial systems. His numerous publications in top-tier journals, along with his awards and recognition for scientific excellence, highlight his scholarly impact. In conclusion, Mr. Ranran Li exemplifies a combination of rigorous scholarship, innovative research, and effective mentorship, establishing him as a leading researcher whose contributions advance knowledge and practice across energy, environmental, and financial risk domains.

Profile: Scopus | Orcid

Featured Publications:

  • Li, R., & Jin, Y. (2018). A wind speed interval prediction system based on multi-objective optimization for machine learning method. Applied Energy, 228, 2207–2220.

  • Jiang, P., Li, R., et al. (2020). A novel composite electricity demand forecasting framework by data processing and optimized support vector machine. Applied Energy, 260, 114243.

  • Li, R., & Jin, Y. (2018). The early-warning system based on hybrid optimization algorithm and fuzzy synthetic evaluation model. Information Sciences, 435, 296–319.

  • Li, R., Dong, Y., Zhu, Z., et al. (2019). A dynamic evaluation framework for ambient air pollution monitoring. Applied Mathematical Modelling, 65, 52–71. https://doi.org/10.1016/j.apm.2018.07.052

  • Li, R., Hu, Y., Heng, J., & Chen, X. (2021). A novel multiscale forecasting model for crude oil price time series. Technological Forecasting and Social Change, 173, 121181.

  • Li, R., Chen, X., Balezentis, T., Streimikiene, D., & Niu, Z. (2021). Multi-step least squares support vector machine modeling approach for forecasting short-term electricity demand with application. Neural Computing & Applications, 33, 301–320.

  • Li, R., Jiang, P., et al. (2020). A novel hybrid forecasting scheme for electricity demand time series. Sustainable Cities and Society, 55, 102036