Sinan Sousan | Environmental Science | Innovative Research Award

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

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

Luis Tamassia | Environmental Science | Best Researcher Award

Dr. Luis Tamassia | Environmental Science | Best Researcher Award

Global Innovation ruminants lead at dsm-firmenich, Switzerland.

Luis Fernando Monteiro Tamassia is a Brazilian‑Italian veterinarian whose career bridges science and agribusiness. After earning his Doctor of Veterinary Medicine, he immersed himself in pasture management and animal nutrition, steadily ascending from feedlot consultant to global innovation leader in Switzerland 🇨🇭. Two decades of guiding multidisciplinary teams—from R&D labs to commercial front lines—have honed his talent for turning bench discoveries into practical solutions that boost cattle performance, farmer profitability and worldwide livestock sustainability efforts ♻️. Fluent in English and Spanish, with German in progress, Luis thrives in multicultural settings, forging alliances across academia, industry and digital‑tech start‑ups. Today, as Global Head of Innovation for Ruminants at dsm‑firmenich, he channels his passion for humane, climate‑smart food production into next‑generation vitamins, enzymes and data‑driven feed strategies, inspiring colleagues to pair scientific rigor with entrepreneurial spirit. 🌟

Professional Profile:

Scopus

Google Scholar

Suitability For Best Researcher Award – Dr. Luis Tamassia

Dr. Luis Fernando Monteiro Tamassia stands out as a multidisciplinary leader whose contributions bridge veterinary science, animal nutrition, agribusiness innovation, and sustainability. With over 25 years of experience, he has transformed scientific insights into commercial solutions that improve livestock health, environmental outcomes, and global food systems. His journey from feedlot consultant in Brazil to Global Head of Innovation for Ruminants at dsm-firmenich in Switzerland showcases his international influence, strategic vision, and scientific rigor.

Education 🎓📚

Luis built a robust scientific foundation at three leading Brazilian institutions. He first completed his Doctor of Veterinary Medicine at the Federal University of Uberlândia, mastering anatomy, physiology and herd health. Seeking deeper production insight, he undertook an Animal Scientist Specialization at the Federal University of Goiás, where he evaluated feedlot bulls for genetic merit 📊🐂. His academic journey culminated in an M.Sc. in Agronomy (Animal Nutrition & Pasture) at USP‑ESALQ, investigating Rhodes‑grass morphology, chemistry and digestibility 🌾🔬. Continuous leadership programs and international management courses now complement these degrees, equipping him to translate complex nutrition science into market impact.

Professional Development 🚀

Over a 25‑year span, Luis has cultivated a rare blend of scientific acuity and commercial savvy, evolving from regional technical advisor to C‑suite innovation strategist 🌟. He sharpened frontline skills at Tortuga, steering feedlot sales teams across São Paulo, Rio and Espírito Santo before managing two research centers and quality programs serving four factories 🔧🏭. Promoted to Director of Innovation & Applied Science for Latin America at DSM, he supervised 25 scientists, delivered 45+ projects annually and drove double‑digit innovation‑sales growth 📈. Since 2019, Switzerland has been his base for global influence: first as Innovation Lead and now as Global Head of Innovation for Ruminants at dsm‑firmenich. There he orchestrates cross‑functional squads that fuse digital tools, precision farming, feed additives and sustainability analytics into market‑ready packages, championing open‑innovation networks with universities and startups 🌐🤝. Frequent symposium keynotes and multicultural immersion continually refine his professional edge.

Research Focus 🔬🐂

Luis’s research orbit centers on sustainable ruminant nutrition—the nexus where animal physiology, feed chemistry and environmental stewardship converge 🌍. He interrogates how vitamins, minerals, enzymes and eubiotics modulate rumen microbiota, oxidative stress and nutrient utilization, striving to boost meat and milk yields while shrinking methane footprints ♻️. His teams prototype precision‑feeding algorithms and digital decision tools that transform on‑farm data into custom ration strategies 📲📊. Another avenue explores mineral matrices and plant‑based bio‑actives as antibiotic alternatives, safeguarding animal health without compromising productivity 🚫💊✅. Fertility enhancement, heat‑stress mitigation and trace‑element bioavailability complete his holistic agenda, weaving genetics, pasture dynamics and gut‑health biomarkers into actionable blueprints. He collaborates with climatologists and data scientists to map emission hotspots and quantify life‑cycle impacts 🌡️🧬. Field trials across Europe and Brazil validate insights, empowering stakeholders to accelerate climate‑smart livestock systems and advance UN SDG 12 🌱📑.

Awards & Honors 🏆

Recognition has accompanied Luis’s path from ranch to boardroom. He earned the coveted “Best in Beef Cattle Production” BeefExpo Award in 2015 🐂🥇, celebrating the tangible gains he delivered in feedlot efficiency and carcass quality. As a sought‑after speaker at international congresses and symposia 🌐🎤, he routinely receives top‑rated speaker badges and invitations to scientific steering committees. Leadership of innovation teams has secured internal accolades at DSM and dsm‑firmenich for revenue‑driving product launches 🚀💡, while peer communities frequently cite his book chapters and 50+ publications for advancing sustainable ruminant farming 📚🌱—each honor underscoring his commitment to uniting animal welfare, producer prosperity and environmental stewardship.

Publication Top Notes

1. Nutritional strategies in ruminants: A lifetime approach

Authors: J McGrath, SM Duval, LFM Tamassia, M Kindermann, RT Stemmler, TS Acedo, et al.
Journal: Research in Veterinary Science, Vol. 116, Pages 28–39
Cited by: 170
Year: 2018
Summary:
This comprehensive review explores nutritional strategies for ruminants across different stages of life—from neonatal to adult stages. It emphasizes the importance of early-life nutrition, precision feeding, and sustainable practices to improve health, productivity, and environmental outcomes in ruminant livestock. Key focus areas include gastrointestinal development, feed efficiency, immune function, and long-term metabolic programming.

2. Feeding the combination of essential oils and exogenous α-amylase increases performance and carcass production of finishing beef cattle

Authors: MAP Meschiatti, VN Gouvêa, LA Pellarin, CDA Batalha, MV Biehl, TS Acedo, et al.
Journal: Journal of Animal Science, Vol. 97(1), Pages 456–471
Cited by: 64
Year: 2019
Summary:
This study investigates the synergistic effects of essential oils and exogenous α-amylase on beef cattle. Results showed significant improvements in feed efficiency, average daily gain, and carcass yield. The inclusion of these additives enhanced nutrient digestibility and rumen fermentation.

3. Effect of selected feed additives to improve growth and health of dairy calves

Authors: LFL Salazar, LA Nero, MEM Campos-Galvão, CS Cortinhas, TS Acedo, et al.
Journal: PLOS ONE, Vol. 14(5), Article e0216066
Cited by: 54
Year: 2019
Summary:
This research evaluates the impact of various feed additives—including prebiotics, probiotics, and organic acids—on the health and development of dairy calves. Findings revealed improved weight gain, reduced incidence of diarrhea, and enhanced gut health markers.

4. Effects of a blend of essential oils and exogenous α-amylase in diets containing different roughage sources for finishing beef cattle

Authors: LB Toseti, RS Goulart, VN Gouvêa, TS Acedo, GSFM Vasconcellos, et al.
Journal: Animal Feed Science and Technology, Vol. 269, Article 114643
Cited by: 37
Year: 2020
Summary:
This paper examines how different roughage types interact with feed additives like essential oils and α-amylase in beef cattle diets. The study found that these additives enhance nutrient absorption and performance across various forage bases, supporting dietary flexibility in feedlot operations.

5. Effect of organic sources of minerals on fat-corrected milk yield of dairy cows in confinement

Authors: TA Del Valle, EF Jesus, PG Paiva, VP Bettero, F Zanferari, TS Acedo, et al.
Journal: Revista Brasileira de Zootecnia, Vol. 44(3), Pages 103–108
Cited by: 20
Year: 2015
Summary:
The study evaluates the efficacy of organic vs. inorganic mineral sources in dairy cow diets under confinement. It concludes that organic minerals improve milk yield, particularly 3.5% fat-corrected milk, and support better reproductive performance and mineral bioavailability.

Conclusion

Luis Fernando Monteiro Tamassia exemplifies the qualities of a Best Researcher Award recipient. His distinguished career demonstrates scientific depth, innovation leadership, and a deep commitment to sustainable agriculture. His influence spans continents and disciplines, making him not only a leading researcher but a visionary catalyst for global agri-food transformation. Awarding him would recognize not just past accomplishments, but also his ongoing contribution to a more sustainable and ethical future in animal science.