Effrosyni Gerovasileiou | Data Science | Research Excellence Award

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Dr. Effrosyni Gerovasileiou | Data Science | Research Excellence Award

Resident in Respiratory Medicine at University Hospital of Larissa | Greece

Dr. Effrosyni Gerovasileiou, M.D., MSc is a Greek physician, PhD candidate, and pulmonary medicine resident at the University Hospital of Larissa, with strong academic training in medicine, epidemiology, public health, and food science, extensive clinical experience in critical care and COVID-19 management, active teaching involvement at postgraduate level, certified laboratory expertise in experimental animal research, a solid record of peer-reviewed publications in intensive care, pulmonology, and infectious diseases, multiple international conference contributions, prestigious fellowships, and award-winning research excellence.

Citation Metrics (Google Scholar)

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Citations
57

i10-index
2

h-index
4

๐ŸŸฆ Citations ย  ๐ŸŸฅ i10-index ย  ๐ŸŸฉ h-index

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Featured Publications

Charles Rino | Data Science | Innovative Research Award

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Dr. Charles Rino | Data Science | Innovative Research Award

Senior Research Engineer, Institute for Scientific Research, Boston College, United States

Dr. Charles Rino is a highly accomplished scientist with expertise in electromagnetic theory, communications, information science and advanced signal processing, whose career spans academia, defense research and technology innovation. He received his B.S. (1965) and M.S. (1966) degrees in Electrical Engineering from the University of California, Berkeley, followed by a Ph.D. in Information and Computer Science from the University of California, San Diego in 1970 under Prof. Carl W. Helstrom. His professional experience includes over a decade at SRI International, where he played a key role in the Chatanika Auroral-Zone Radar Project, satellite beacon programs and communication studies in disturbed environments; Mission Research Corporation, where he directed radar scattering projects and Vista Research, Inc., where as Vice President of Research he led DARPA, ONR and ARO-funded projects on adaptive signal processing, Bayesian detection, radar surveillance and technology commercialization. His research interests focus on ionospheric physics, wave propagation, electromagnetic scattering and remote sensing, while his research skills include multi-channel signal processing, algorithm development, radar system design and data analysis for complex environments. Dr. Charles Rino has authored more than 50 peer-reviewed publications, contributed to IEEE and AGU conferences and published the authoritative book The Theory of Scintillation with Applications in Remote Sensing (2011). His scholarly impact is reflected in 2,787 citations, 117 publications, and an h-index of 29. Honors include IEEE Fellowship (1989), Eta Kappa Nu, Tau Beta Pi, and early recognition as a NASA Trainee. Currently a Visiting Scholar at Boston College and Senior Research Scientist at Colorado State University, Dr. Charles Rino continues to advance global research through innovation, leadership and mentorship.

Profile: Scopus | ORCID

Featured Publications

  1. Rino, C. L., Brekke, A., & Baron, M. J. (1977). High-resolution auroral zone E-region neutral wind and current measurements by incoherent scatter radar. Journal of Geophysical Research: Space Physics, 82(16), 2295โ€“2304.

  2. Fremouw, E. J., Rino, C. L., Livingston, R. C., & Cousins, M. C. (1977). A persistent subauroral scintillation enhancement observed in Alaska. Geophysical Research Letters, 4(11), 539โ€“542.

  3. Rino, C. L., & Fremouw, E. J. (1977). The angle dependence of singly scattered wave fields. Journal of Atmospheric and Terrestrial Physics, 39(7), 859โ€“868.

  4. Fremouw, E. J., Leadabrand, R. L., Livingston, R. C., Cousins, M. D., Rino, C. L., Fair, B. C., & Long, R. A. (1978). Early results from the DNA wideband satellite experiment: Complex-signal scintillation. Radio Science, 13(1), 167โ€“187.

  5. Rino, C. L. (1979). A power law phase screen model for ionospheric scintillation: 1. Weak scatter. Radio Science, 14(6), 1135โ€“1145.

 

Mr. Mohammad Mahdi Badami | Data Analysis | Young Scientist Award

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Mr. Mohammad Mahdi Badami | Data Analysis | Young Scientist Award

Mr. Mohammad Mahdi Badami | University of Southern California | United States

Mehdi Badami is a dedicated Ph.D. candidate in Environmental Engineering at the University of Southern California (USC) under Prof. Constantinos Sioutas. His expertise lies in air quality improvement, with hands-on experience in air pollution monitoring using advanced instrumentation such as SMPS-CPC, OPS, and Aethalometer 51. He specializes in data-driven environmental assessments, employing Python for pollution source apportionment and emission trend analysis. His research contributes to community-centric environmental policies and sustainable air quality solutions. Passionate about environmental justice, he aims to bridge scientific research with real-world policy implementation. ๐ŸŒฑ๐Ÿ”ฌ

Professional Profile:

Google Scholar

Suitability for the Young Scientist Award

Mehdi Badami is a strong candidate for the Young Scientist Award due to his significant contributions to environmental engineering, particularly in air quality improvement. As a Ph.D. candidate at the University of Southern California (USC), his research focuses on air pollution monitoring and data-driven environmental assessments. His expertise in advanced instrumentation (e.g., SMPS-CPC, OPS, Aethalometer 51) and Python-based pollution source apportionment makes him a valuable asset to the field.

Education & Experience ๐Ÿข๐ŸŽ“

  • Ph.D. Candidate in Environmental Engineering (2022-Present) โ€“ USC, Los Angeles, USA ๐Ÿ‡บ๐Ÿ‡ธ

    • GPA: 3.95/4
    • Advisor: Prof. Constantinos Sioutas

  • M.Sc. in Mechanical Engineering (Fluid Mechanics) (2017-2020) โ€“ University of Tehran, Iran ๐Ÿ‡ฎ๐Ÿ‡ท

    • GPA: 3.77/4
    • Supervisors: Dr. Alireza Riasi, Prof. Kayvan Sadeghy

  • B.Sc. in Mechanical Engineering (2012-2016) โ€“ K. N. Toosi University of Technology, Iran ๐Ÿ‡ฎ๐Ÿ‡ท

  • Research Assistant โ€“ USC Aerosol Lab (2023โ€“Present) ๐Ÿญ๐ŸŒซ๏ธ

    • Conducted air pollution measurements using state-of-the-art monitoring systems
    • Developed Python programs for data automation and pollution trend analysis
    • Led collaborations with institutions like Harvard, UCLA, and Dresden University
    • Mentored Ph.D. students on environmental research projects

  • Research Assistant โ€“ Hydro-kinetic Energy Lab, University of Tehran (2017โ€“2022) ๐Ÿ”ฌ๐Ÿ’ง

    • Investigated fluid mechanics phenomena related to blood hammer effects in arteries

  • Teaching Assistant โ€“ USC & University of Tehran (2018โ€“2024) ๐Ÿ“š๐Ÿ‘จโ€๐Ÿซ

    • Assisted in courses on climate change, air quality, fluid mechanics, and thermodynamics

Professional Development ๐Ÿš€

Mehdi Badami has actively contributed to the field of environmental engineering through cutting-edge research on air pollution, sustainability, and emission control. His extensive knowledge of aerosol science, atmospheric chemistry, and data analysis allows him to assess air quality trends with precision. He has developed innovative models for pollution source apportionment, worked on real-time monitoring systems, and collaborated with leading institutions to improve urban air quality. His passion for environmental justice drives his work towards creating actionable solutions that ensure healthier air for communities. His dedication extends beyond academia, as he actively engages in outreach and policy-driven initiatives. ๐ŸŒฟ๐Ÿ“Š

Research Focus ๐Ÿ”

Mehdiโ€™s research centers on air pollution control, environmental monitoring, and sustainable urban development. His work involves identifying and mitigating pollution sources through field measurements and computational models. He specializes in:

  • Air Quality Assessment ๐ŸŒซ๏ธ๐Ÿ“Š โ€“ Studying PM2.5 and ultrafine particle pollution in urban environments
  • Pollution Source Apportionment ๐Ÿญโš–๏ธ โ€“ Analyzing emissions from vehicles, industries, and natural sources
  • Aerosol Science ๐ŸŒช๏ธ๐Ÿ’จ โ€“ Investigating the toxicity and health impacts of airborne particles
  • Machine Learning in Environmental Studies ๐Ÿค–๐Ÿ“‰ โ€“ Utilizing data science to model pollution trends
  • Climate and Environmental Justice ๐ŸŒŽโš–๏ธ โ€“ Advocating for equitable air quality policies in urban communities

Awards & Honors ๐Ÿ†

  • Outstanding Research Assistant Award โ€“ USC, Sonny Astani Department of Civil and Environmental Engineering (2024) ๐Ÿ…
  • Fellowship Award โ€“ USC (2022-2023) ๐ŸŽ“๐Ÿ’ฐ (Recognized for academic excellence in Environmental Engineering)
  • National Fellowship for Masterโ€™s Studies โ€“ University of Tehran (2017) ๐Ÿ“–๐Ÿ†
  • Top 0.15% Rank in National Entrance Exam โ€“ Iran (Competitive ranking in Mechanical Engineering)

Publication Top Notes:

๐Ÿ“„ Design, optimization, and evaluation of a wet electrostatic precipitator (ESP) for aerosol collection โ€“ Atmospheric Environment (2023) โ€“ ๐Ÿ“‘ Cited by: 11
๐Ÿ“„ Size-segregated source identification of water-soluble and water-insoluble metals and trace elements of coarse and fine PM in central Los Angeles โ€“ Atmospheric Environment (2023) โ€“ ๐Ÿ“‘ Cited by: 7
๐Ÿ“„ Numerical study of blood hammer phenomenon considering blood viscoelastic effects โ€“ European Journal of Mechanics-B/Fluids (2022) โ€“ ๐Ÿ“‘ Cited by: 7
๐Ÿ“„ Development and performance evaluation of online monitors for near real-time measurement of total and water-soluble organic carbon in fine and coarse ambient PM โ€“ Atmospheric Environment (2024) โ€“ ๐Ÿ“‘ Cited by: 4
๐Ÿ“„ Numerical analysis of laminar viscoelastic fluid hammer phenomenon in an axisymmetric pipe โ€“ Journal of the Brazilian Society of Mechanical Sciences and Engineering (2021) โ€“ ๐Ÿ“‘ Cited by: 3
๐Ÿ“„ Urban emissions of fine and ultrafine particulate matter in Los Angeles: Sources and variations in lung-deposited surface area โ€“ Environmental Pollution (2025) โ€“ ๐Ÿ“‘ Cited by: 1