Dr. Fariba Abbasi | Geographic Information Systems (GIS) | Best Researcher Award

Dr. Fariba Abbasi | Geographic Information Systems(GIS) | Best Researcher Award

Dr. Fariba Abbasi | Bushehr university of medical sciences | IranΒ 

Fariba Abbasi is a dedicated researcher in environmental and medical sciences, focusing on the impact of air pollution, heavy metals, and industrial emissions on public health. She has conducted extensive studies on lung toxicity, bioaerosols, and environmental pollutants using advanced modeling techniques, including artificial intelligence. Her research spans multiple medical universities, aiming to improve health outcomes by identifying harmful environmental factors. With numerous approved projects investigating respiratory diseases, water quality, and microbial contamination, Abbasi continues to contribute valuable insights to the scientific community. Her work is pivotal in understanding and mitigating environmental hazards for healthier communities. πŸŒπŸ”¬

Professional Profile:

SCOPUS

Suitability for Best Researcher Award

Dr. Fariba Abbasi is an exceptional candidate for the Best Researcher Award due to her extensive contributions to environmental and medical sciences. Her research primarily focuses on air pollution, heavy metals, and industrial emissions, all of which have significant public health implications. By leveraging advanced modeling techniques, including artificial intelligence, she has provided crucial insights into the effects of environmental pollutants on human health.

Education & Experience πŸŽ“πŸ‘©β€πŸ”¬

  • Doctorate in Environmental Health Sciences – Specialized in air pollution and health risk assessment
  • Researcher at Shiraz University of Medical Sciences – Conducted studies on lung toxicity and environmental pollutants
  • Collaborator at Bushehr & Behbahan Universities of Medical Sciences – Investigated water quality, air pollution, and industrial toxicity
  • Expert in AI-based environmental modeling – Utilized GIS, ANN, and AERMOD models for pollution analysis
  • Published Author & Conference Presenter – Contributed to numerous scientific journals and international conferences

Professional DevelopmentπŸŒ±πŸ“š

Fariba Abbasi actively engages in professional development through interdisciplinary research, applying AI, GIS, and advanced analytical methods to assess environmental health risks. She participates in academic collaborations across multiple universities, expanding her expertise in pollutant monitoring, bioaerosols, and industrial toxicology. As a mentor and educator, she contributes to training young researchers in environmental and medical sciences. Her involvement in global conferences, workshops, and peer-reviewed publications underscores her commitment to scientific advancement. She also engages in policymaking discussions to mitigate air and water pollution effects, ensuring a sustainable and healthier environment for future generations. πŸŒΏπŸ“–

Research FocusπŸ”¬πŸŒŽ

Fariba Abbasi’s research primarily revolves around environmental health sciences, particularly the effects of air pollution, heavy metals, and bioaerosols on human health. Her studies investigate lung toxicity, carcinogenic risks, and the impact of industrial emissions on respiratory diseases. She integrates artificial intelligence and geographic information systems (GIS) to model pollution patterns and predict health risks. Additionally, her work includes water quality assessments, microbial contamination analysis, and occupational health studies. Through multidisciplinary approaches, she aims to develop innovative solutions for mitigating environmental hazards, enhancing public health, and informing evidence-based policymaking. Her research plays a crucial role in sustainable development. πŸŒπŸ’¨

Awards & Honors πŸ†πŸŽ–

  • Outstanding Researcher Award – Recognized for significant contributions to environmental health sciences
  • Best Paper Award – Honored at an international environmental science conference
  • Excellence in AI-based Modeling – Awarded for innovative research in pollution analysis using AI
  • Top Contributor in Public Health Studies – Acknowledged for impactful studies on lung toxicity and pollutants
  • Environmental Sustainability Recognition – Awarded for pioneering research in air and water quality management

Publication Top Notes:

  • “Evaluation of concentration and characterization of potential toxic elements and fluorine in ambient air dust from Iran’s industrial capital: A health risk assessment using Monte Carlo simulation” (2024) – Cited by 7 πŸŒπŸ’¨
  • “Predictors of musculoskeletal disorders and job satisfaction among office workers of an oil company: A cross-sectional study in Iran” (2024)πŸ’πŸ’Ό
  • “Evaluation of the concentration and human health risk of nitrate and potentially toxic elements (PTEs) in melons from a southern region of Iran: Identification of pollution sources” (2024) – Cited by 7 🍈⚠️
  • “A review of endocrine disrupting chemicals migration from food contact materials into beverages” (2024) – Cited by 8 πŸ§ͺπŸ₯€

 

 

 

Mr. Tauqeer Nawaz | Remote Sensing | Best Researcher Award

Mr. Tauqeer Nawaz | Remote Sensing | Best Researcher Award

Mr. Tauqeer Nawaz | Beijing Forestry University | Pakistan

Tauqeer Nawaz is a passionate researcher in forestry, GIS, and remote sensing, dedicated to ecological conservation and carbon fixation in arid regions. 🌍 He holds a B.Sc. (Hons) in Agriculture (Forestry) from Ghazi University, Pakistan (2021), and is currently pursuing a Master’s in Cartography, GIS, and Remote Sensing at Beijing Forestry University, China. πŸŽ“ His research focuses on forest ecosystem management, ecological restoration, and climate change impacts. πŸ“ŠπŸŒ± He has participated in international conferences, authored scientific publications, and contributed to national research projects. πŸ“ His expertise includes programming, GIS software, and environmental modeling. πŸ’»πŸŒ³

Professional Profile:

Google Scholar

Suitability for Best Researcher Award

Tauqeer Nawaz is a highly dedicated researcher specializing in forestry, GIS, and remote sensing, making him a strong candidate for the Best Researcher Award. His work focuses on ecological conservation, carbon fixation, and sustainable forest management, which are critical for addressing global environmental challenges. With an academic background in agriculture and forestry and ongoing postgraduate research in GIS and remote sensing, he has demonstrated a strong commitment to advancing ecological sciences.

Education & Experience πŸ“šπŸ‘¨β€πŸ«

  • πŸŽ“ Master in Cartography, GIS & Remote Sensing – Beijing Forestry University, China (2022 – Present)
  • πŸŽ“ B.Sc. (Hons) in Agriculture (Forestry) – Ghazi University, Pakistan (2017 – 2021)
  • 🌿 Researcher – Beijing Forestry University, College of Forestry, China
  • πŸ›° Expert in GIS, Remote Sensing & Ecological Restoration
  • πŸ“Š Published multiple research papers on ecological networks and carbon sequestration
  • πŸ› Active participant in international conferences on forest management and biodiversity

Professional Development πŸŒ±πŸ“‘πŸ“–

Tauqeer Nawaz actively enhances his expertise in GIS, remote sensing, and ecological restoration through advanced research and academic collaborations. πŸ”¬ His work focuses on optimizing ecological spatial networks, carbon sequestration, and biodiversity conservation in arid and semi-arid regions. 🌿 He has contributed to multiple national research projects, including the Sichuan-Tibet Railway Project and studies on forest land carbon reserves in coal mines. πŸ”οΈ His skills span programming, geospatial analysis, and environmental modeling, ensuring practical solutions for sustainable land management. πŸ›°οΈ He regularly attends international conferences and workshops, keeping pace with emerging trends in environmental science. πŸŒπŸ“Š

Research Focus πŸŒπŸŒΏπŸ“Š

Tauqeer Nawaz’s research is centered on GIS, remote sensing, and ecological sustainability, with a focus on carbon fixation, desert ecosystems, and climate change adaptation. 🌱 His studies integrate spatial analysis, land-use modeling, and ecosystem restoration techniques to address biodiversity loss and environmental degradation. πŸ“‘ His work explores forest carbon storage, desertification control, and the impact of land-use changes on ecological functions. 🌍 He employs advanced GIS tools, MCR models, and remote sensing data to develop strategies for sustainable land management. πŸ›° His contributions play a crucial role in enhancing global efforts toward climate resilience and ecological conservation. 🌳πŸ”₯

Awards & Honors πŸ†πŸŽ–οΈ

  • πŸŽ“ HEC-Ehsaas Scholarship (Pakistan) – Awarded for academic excellence at Ghazi University (2019)
  • πŸ‡¨πŸ‡³ China Scholarship Council (CSC) Award – Fully funded scholarship for Master’s studies in China (2022)
  • 🌍 United Nations Certification – Recognized for achievements in Climate Change & Environmental Law (2021)
  • πŸ›° NASA ARSET Certification – Awarded for expertise in Spatial Data for Biodiversity (2022)
  • πŸ› UN Environmental Law Certification – Training in Marine Biodiversity & Heritage Protection (2021)
  • πŸ”¬ Multiple International Conference Presentations – On GIS, remote sensing, and forest management (2023-2024)

Publication Top Notes:

🌿 Integrated Approach for Ecological Restoration and Ecological Spatial Network Optimization in Mining AreasΒ  πŸ”— Cited by: 7
🌍 Developing Strategies for Carbon Neutrality Through Restoration of Ecological Spatial Networks in the Thal Desert, Punjab

 

 

Mr. Jordan Bernard | Spatial Smoothing Award | Best Researcher Award

Mr. Jordan Bernard | Spatial Smoothing Award | Best Researcher Award

Mr. Jordan Bernard, Alaska Department of Fish and Game, United States

Mr. Jordan Bernard, an M.S. graduate in Statistics from the University of Alaska Fairbanks, specializes in Biological Applications of Statistics, complemented by a B.S. in Mathematics from Colorado State University. πŸ‘¨β€πŸ”¬ With a rich background as a Biometrician II at the Alaska Department of Fish and Game, he adeptly utilizes Bayesian statistics, predictive analytics, and spatial ecology methods to analyze marine mammal populations. Previously, as a Senior Staff Scientist at Geosyntec Consultants, he provided GIS support for mapping contamination, showcasing his versatility. πŸ’» His skill set spans Bayesian and spatial statistics, R programming, GIS, and data visualization, making him a formidable force in statistical analysis and data management across various domains.

Professional Profile:

Scopus

πŸ“š Education:

Mr. Bernard holds an M.S. in Statistics from the University of Alaska Fairbanks, specializing in Biological Applications of Statistics, and a B.S. in Mathematics from Colorado State University.

πŸ‘¨β€πŸ”¬ Work Experience:

Mr. Jordan Bernard is an accomplished Biometrician with extensive experience in statistical analysis and data management, particularly in marine mammal populations. He has served as a Biometrician II at the Alaska Department of Fish and Game, where he calculated statistics related to marine mammal abundance, movement, and genetics, employing Bayesian statistics, predictive analytics, and spatial ecology methods. Previously, he worked as a Senior Staff Scientist at Geosyntec Consultants, providing GIS support and mapping contamination in soil and sediment. Additionally, he has worked as a Data Analyst at the Alaska Primary Care Association, managing healthcare data and calculating population-level health statistics.

πŸ’» Skills:

His skills include expertise in Bayesian statistics, spatial statistics, time series statistics, R programming, JAGS, GIS, SQL, data visualization, and report writing.

Publications Top Notes :

  1. A geostatistical model based on random walks to krige regions with irregular boundaries and holes
    • Published in Ecological Modelling in 2024.
    • Contributors: Barry, R.P., McIntyre, J., Bernard, J.
  2. An empirical Bayesian approach to incorporate directional movement information from a forage fish into the Arnason-Schwarz mark-recapture model
    • Published in Movement Ecology in 2021.
    • Contributors: Bishop, M.A., Bernard, J.W.
    • Cited by 5 articles.