saeid shabani | Environmental Science | Best Researcher Award

saeid shabani | Environmental Science | Best Researcher Award

Assist. Prof. Dr saeid shabani, AREEO, Iran

Assist. Prof. Dr. Saeid Shabani is a distinguished forestry researcher specializing in forest monitoring, natural hazards, and sustainable ecosystem development 🌳🌍. He holds a Ph.D. in Forestry from Tarbiat Modares University, Iran (2015), where he developed models for predicting soil and forest stand disturbances caused by logging πŸ—οΈπŸŒ². His research integrates GIS, machine learning, and statistical modeling to assess forest fragmentation, carbon stock monitoring, and climate change impacts πŸ“ŠπŸ›°οΈ. Dr. Shabani has led numerous projects on afforestation, ecosystem assessments, and genetic variations in tree species πŸŒ±πŸ”¬. His publications in high-impact journals, along with his role as a reviewer for esteemed scientific outlets, solidify his reputation as a leading expert in forestry research πŸ“–πŸŒΏ. With expertise in ArcGIS, R, and SPSS, he bridges the gap between technology and environmental conservation πŸ’»πŸƒ. His dedication to sustainable forest management makes him an outstanding candidate for the Best Researcher Award πŸ…πŸ‘.

Publication Profile

Google Scholar

Education

Dr. Saeid Shabani earned his Bachelor of Science in Forestry from the University of Guilan, Iran (2005) 🌲, where he developed a strong foundation in forest management and conservation. He pursued his Master of Science in Forestry at Tarbiat Modares University (2009) πŸ“Š, focusing on the relationship between forest gaps, physiographic factors, and vegetation in Lalis Forest, Nowshahr πŸŒ³πŸ—ΊοΈ. He further advanced his expertise with a Ph.D. in Forestry from the same institution (2015) πŸ—οΈ, specializing in modeling soil and forest stand disturbance caused by logging operations πŸžοΈπŸ”. Dr. Shabani’s academic journey emphasizes sustainable forest ecosystem development, leveraging GIS, machine learning, and data-driven modeling πŸ“ˆπŸŒ. His interdisciplinary research bridges ecological conservation and technological advancements to enhance forestry management strategies πŸ’‘πŸŒ±.

Experience

Dr. Saeid Shabani has extensive experience in forestry research, specializing in forest monitoring, sustainable development, and climate impact assessments 🌍🌿. He has led and collaborated on multiple projects across the Hyrcanian and Arasbaran forests, focusing on afforestation, forest road monitoring, and carbon stock assessment πŸžοΈπŸ“Š. His expertise in GIS, R, and machine learning has enabled him to develop predictive models for forest stand disturbances and susceptibility to environmental threats like snowstorms and windthrow πŸŒͺοΈπŸ›°οΈ. As a scientific reviewer, he contributes to journals such as Scientific Reports, Turkish Journal of Forestry, and Ecology of Iranian Forests πŸ“–πŸ“. He has also been involved in standardizing forestry job competencies and ecosystem differentiation. His impactful work in forest conservation and ecosystem modeling positions him as a leading researcher in environmental sustainability and forestry science

Awards & Honors

Dr. Saeid Shabani has received multiple recognitions for his groundbreaking contributions to forestry research πŸŒΏπŸ†. His work on forest sustainability, ecosystem monitoring, and climate resilience has earned him prestigious awards and funding. He was a recipient of the Chinese Government Scholarship πŸŽ“πŸ‡¨πŸ‡³ and has won Best Paper Awards for high-impact forestry research in journals like the European Journal of Forest Research πŸ“œπŸ…. His expertise as a reviewer has been acknowledged with Reviewer Recognition Awards from Scientific Reports, South African Geographical Journal, and Journal of Forest Research & Development πŸ”πŸ“–. He has secured project grants from environmental organizations for studies on afforestation, soil health, and carbon stock modeling πŸŒ²πŸ’°. His Excellence in Forestry Research Award highlights his innovative use of GIS and machine learning in forest monitoring πŸ—οΈπŸ›°οΈ. Through his dedication to sustainable forestry and advanced modeling techniques, he has cemented his reputation as an award-winning researcher in environmental science.

Research Focus

Dr. Saeid Shabani is a distinguished researcher specializing in forest monitoring, ecosystem sustainability, and climate impact assessment 🌲🌎. His expertise lies in applying GIS, machine learning, and statistical modeling to predict forest disturbances caused by natural hazards and human activities πŸ›°οΈπŸ“Š. His research focuses on forest fragmentation and logging impact modeling πŸ—οΈπŸŒ³, assessing the effects of snowstorms, windthrow, and climate change on forest ecosystems ❄️πŸŒͺ️, and evaluating carbon stock in Hyrcanian and Arasbaran forests πŸŒ±πŸ“ˆ. Additionally, he contributes to afforestation efforts and sustainable forest management strategies πŸŒΏβ™»οΈ while analyzing soil health and biodiversity conservation in forest stands πŸ”¬πŸ‚. Through cutting-edge methodologies, he develops innovative solutions to preserve global forest ecosystems and mitigate environmental risks πŸŒπŸ’‘. His work plays a vital role in policy-making and sustainable forestry development, ensuring the long-term health of natural resources.

Publication Top Notes

  • πŸ“œ Spatial Prediction of Soil Disturbance Caused by Forest Logging Using Generalized Additive Models and GIS – European Journal of Forest Research πŸ—οΈπŸŒ²

  • 🌍 Forest Stand Susceptibility Mapping During Harvesting Using Logistic Regression and Boosted Regression Tree Models – Global Ecology and Conservation πŸ“ŠπŸ›°οΈ

  • πŸ“ Spatial Modeling of Forest Stand Susceptibility to Logging Operations – Environmental Impact Assessment Review πŸžοΈπŸ“‰

  • ❄️ Modeling the Susceptibility of Uneven‑Aged Broad‑Leaved Forests to Snowstorm Damage – Environmental Science and Pollution Research 🌨️🌲

  • 🌑️ How Do Different Land Uses/Covers Contribute to Land Surface Temperature and Albedo? – Sustainability 🏑🌞

  • 🌱 Soil Health Reduction Following Conversion of Primary Vegetation Covers in Semi-Arid Environments – Science of the Total Environment 🏜️🌾

  • πŸ—ΊοΈ Modeling and Mapping of Soil Damage Caused by Harvesting in Caspian Forests Using CART and RF Techniques – Journal of Forest Science πŸ“ˆπŸ“Š

  • πŸŒͺ️ Prediction of Windthrow Phenomenon in Deciduous Temperate Forests Using Logistic Regression & Random Forest – Cerne Journal πŸŒ³πŸ’¨

Wagd Ajeeb | Energy and Sustainability | Excellence in Research Award

Wagd Ajeeb | Energy and Sustainability | Excellence in Research Award

Dr Wagd Ajeeb, IST Tecnico Lisbon University, Portugal

Dr. Wagd Ajeeb πŸŽ“βš™οΈ is a mechanical engineer specializing in energy systems and climate change. He earned his Ph.D. from Aveiro University, Portugal (2019), focusing on nanofluids in micro heat exchangers. With experience at IST Lisbon, the University of Padua, and IDMEC, he has contributed to cutting-edge projects on green hydrogen, synthetic biofuels, and thermal management. His research includes high-impact publications on nanofluids and renewable energy πŸŒ±πŸ”¬. A member of leading R&D centers, he actively participates in scientific conferences and innovation forums. Passionate about sustainable energy, Dr. Ajeeb advances technologies for a cleaner future 🌍⚑.

Publication Profile

Google Scholar

Education

Dr. Wagd Ajeeb πŸŽ“ is a specialist in Energy Systems and Climate Change with a Ph.D. in Mechanical Engineering from Aveiro University, Portugal (2015-2019) 🌍πŸ”₯. His thesis focused on convective heat transfer of non-Newtonian nanofluids in micro heat exchangers. He earned his M.Sc. in Thermal Machine Engineering from Tishreen University, Syria (2012-2015) βš‘πŸ’§, researching hydropower plant design at the 16-Tishreen Dam. His B.Sc. in Mechanical Engineering from Albaath University (2007-2012) πŸŒ¬οΈπŸ”§ explored wind energy potential in Syria. With strong expertise in renewable energy and thermal systems, he contributes to advancing sustainable engineering solutions. βš™οΈπŸ’‘

Employment

Dr. Wagd Ajeeb is a dedicated mechanical engineer and researcher at the Centre for Innovation, Technology, and Policy Research (IN+), IST Lisbon University, Portugal (2023–2024) πŸ”¬βš™οΈ. He collaborates with PRIO on the M-ECO2 project, focusing on green hydrogen and synthetic biofuels πŸŒΏπŸ”‹. Previously, he worked at the University of Padua, Italy (2022–2023), researching fouling mitigation in heat exchangers with Hexxcell Ltd β„οΈπŸ’§. His expertise spans nanofluids for advanced cooling (IST Lisbon, 2020–2022) and CFD simulations for Bosch’s Smart Green Homes project (University of Aveiro, 2019–2020) 🏑⚑. A member of the Syrian Engineers Syndicate, he also worked on renewable energy and power systems in Syria (2013–2015) ⚑🌍.

Research Focus

Dr. Wagd Ajeeb πŸ”¬βš‘ specializes in renewable energy, hydrogen production, and nanofluids for thermal applications. His research spans life cycle assessments of green hydrogen and renewable diesel πŸŒ±πŸ”‹, published in high-impact Q1 journals. He investigates hydrogen production via alkaline electrolysis and its sustainability implications πŸ”„βš‘. Additionally, he explores nanofluid properties, enhancing heat transfer efficiency in compact heat exchangers ❄️πŸ”₯. His work includes experimental and numerical studies on Alβ‚‚O₃ and TiOβ‚‚ nanofluids, optimizing thermal management solutions. Dr. Ajeeb’s contributions drive advancements in sustainable energy and innovative thermal technologies for a greener future πŸŒπŸš€.

Awards

Dr. Wagd Ajeeb has been recognized for outstanding research contributions with prestigious awards 🌟. He received the Best Paper Award at the 8th World Congress on Momentum, Heat and Mass Transfer (MHMT 2023) in Lisbon, Portugal πŸ‡΅πŸ‡Ή, showcasing his excellence in scientific innovation. His achievements continued in July 2024, when he was honored with the Best Research Presentation Award at the 9th International Conference on Green Energy Technologies (ICGET 2024) in Berlin, Germany πŸ‡©πŸ‡ͺ. These accolades highlight his dedication to advancing research in energy and heat transfer, reinforcing his impact in the scientific community πŸ”¬πŸ†.

Association Member

Dr. Wagd Ajeeb is a researcher at the Center for Innovation, Technology and Policy Research (IN+) at Instituto Superior TΓ©cnico (IST), University of Lisbon πŸ‡΅πŸ‡Ή. He is also affiliated with the Mechanical Engineering Institute (IDMEC) at IST and the Centre for Mechanical Technology and Automation (TEMA) at the University of Aveiro βš™οΈπŸ”¬. His research contributions extend to R&D teams of FCT, including the LaboratΓ³rio de RobΓ³tica e Sistemas de Engenharia (Jun 2020–Aug 2021) πŸ€– and the LaboratΓ³rio Associado de Energia, Transportes e AeronΓ‘utica (July 2021–2023) ✈️⚑. His work focuses on advanced mechanical engineering and automation πŸš€.

Scientific Activities

Dr. Wagd Ajeeb is an accomplished researcher in energy and fluid mechanics, actively contributing to international conferences and forums. 🌍⚑ He participated in the LARSyS 2024 Meeting and Be Next | Europe’s Decentralized Energy Innovation Forum in Lisbon. πŸ‡΅πŸ‡ΉπŸ”‹ In 2023, he attended the Eurogas Annual Conference, the IN+ 25 Years of Innovation event, and chaired a session at the 8th World Congress on Momentum, Heat, and Mass Transfer. πŸŽ€πŸ“Š He has lectured at Lisbon University, Edinburgh Napier University, and Tishreen University. πŸŽ“πŸ”₯ His expertise spans renewable energy, thermal fluids, and nanofluids, making significant contributions to global energy sustainability. πŸŒ±πŸ’‘

Publication Top Notes

Experimental investigation of heat transfer performance of Al2O3 nanofluids in a compact plate heat exchanger

Nanofluids in compact heat exchangers for thermal applications: A State-of-the-art review

Forced convection heat transfer of non-Newtonian MWCNTs nanofluids in microchannels under laminar flow

Performance evaluation of convective heat transfer and laminar flow of non-Newtonian MWCNTs in a circular tube

Experimental and numerical study of convective heat transfer and laminar flow of a MWCNTs nanofluid in a horizontal tube

Life cycle assessment of green hydrogen production through electrolysis: A literature review