Oliver. O Apeh | Renewable Energy Technologies | Best Researcher Award

Oliver. O Apeh | Renewable Energy Technologies | Best Researcher Award

Dr Oliver. O Apeh, University of Johannesburg, South Africa

Dr. Oliver O. Apeh is an accomplished physicist and researcher specializing in solar energy, the Food-Energy-Water Nexus, and blockchain applications. He holds a Ph.D. in Physics from the University of Fort Hare, South Africa (2021), with a dissertation on solar photovoltaic system performance. His research integrates machine learning, renewable energy, and sustainability to address global challenges. Currently a Postdoctoral Fellow at the University of Johannesburg, he supervises students and contributes to groundbreaking studies on energy optimization. With numerous academic publications, awards, and professional memberships, Dr. Apehโ€™s work significantly impacts renewable energy advancements. His dedication to sustainability and innovation makes him a strong candidate for the Best Researcher Award. ๐ŸŒž๐Ÿ”ฌ๐Ÿ“š

Publication Profile

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Education ย 

Dr. Oliver O. Apeh ๐ŸŽ“ is a dedicated physicist specializing in solar energy and materials science. He earned his Ph.D. in Physics from the University of Fort Hare, South Africa (November 2021) ๐ŸŒž, with a thesis on the comparative performance of 3-kWp solar photovoltaic systems under varying meteorological conditions in Alice, Eastern Cape. He holds an M.Sc. in Physics and Astronomy (December 2015) from the University of Nigeria, Nsukka, where he researched nanostructured zinc oxide thin films ๐Ÿ—๏ธ. Additionally, he completed a Postgraduate Certificate in Education (PGCE) in Physics Education from the National Open University of Nigeria (December 2014) ๐Ÿ“š. His academic journey began with a B.Sc. in Physics and Astronomy (July 2011) from the University of Nigeria, Nsukka, where he synthesized and characterized tungsten oxide using the chemical bath method โš›๏ธ. His expertise bridges renewable energy, nanomaterials, and education, contributing to sustainable technology advancements.

Experience

Dr. Oliver O. Apeh is a Postdoctoral Research Fellow at Johannesburg Business School, University of Johannesburg ๐Ÿ‡ฟ๐Ÿ‡ฆ (2022โ€“Present), where he supervises Honors and Masterโ€™s students while researching the Food-Energy-Water Nexus, machine learning applications in solar energy, and blockchain for energy systems ๐Ÿ”ฌโšก๐Ÿ“Š. Since 2023, he has also been a Visiting Lecturer at Eduvos Higher Institution, Midrand Campus ๐Ÿ‡ฟ๐Ÿ‡ฆ, teaching undergraduate students and guiding Honors research ๐Ÿ‘จโ€๐Ÿซ๐Ÿ“–. Previously, he was a Research Assistant at the University of Fort Hare ๐Ÿ‡ฟ๐Ÿ‡ฆ (2018โ€“2021), conducting experiments and authoring research papers. In addition, he served as a Student Administrator (2020โ€“2021), assisting international students with visa applications ๐ŸŒ๐Ÿ“. Dr. Apeh also lectured physics and mathematics at NCM Computer and Business Academy, Fort Beaufort ๐Ÿ‡ฟ๐Ÿ‡ฆ (2021) ๐Ÿ“š๐Ÿ”ข. His career is marked by significant contributions to teaching, supervision, and research, demonstrating his dedication to academia and innovation ๐Ÿš€๐ŸŽ“.

Awards and Honors

Dr. Oliver O. Apeh is a distinguished scholar and educator with a strong commitment to research and teaching. He was a recipient of the prestigious National Research Foundation (NRF) Grant Award at the University of Fort Hare (2017โ€“2021) ๐Ÿ…, supporting his groundbreaking research. His academic excellence was further recognized through the University of Fort Hare Doctoral Research Award (2017โ€“2021) ๐ŸŽ“, reflecting his outstanding contributions to knowledge. Dr. Apehโ€™s dedication to discipline and time management earned him a Certificate of Merit for Outstanding Punctuality from St. Cyprianโ€™s Science School in 2014 โณ. His passion for teaching was evident early in his career when he received the Best Science Teacher Award at Community Secondary School, Aguibeje in 2003 ๐Ÿ†. These accolades showcase his unwavering dedication to education, research, and mentorship, making him a respected figure in academia and beyond. โœจ๐Ÿ“š

Research Focus

Dr. Oliver O. Apehโ€™s research focuses on renewable energy technologies, particularly solar photovoltaics, machine learning applications in energy systems, and the Food-Energy-Water Nexus. His studies investigate blockchain for energy optimization, sustainability in agri-food industries, and solar forecasting techniques. He has authored numerous high-impact publications on energy efficiency, grid resilience, and economic growth through renewable energy. His work bridges the gap between technology and sustainability, aiming to solve global energy challenges using data-driven and AI-enhanced methodologies. With a multidisciplinary approach, Dr. Apeh advances clean energy innovations, offering insights into smart energy management and climate-friendly solutions. โ˜€๏ธ๐Ÿ”—๐Ÿ“Š

Publication Top Notes

Contributions of solar photovoltaic systems to environmental and socioeconomic aspects of national developmentโ€”A review

Monthly, seasonal and yearly assessments of global solar radiation, clearness index and diffuse fractions in alice, South Africa

Properties of nanostructured ZnO thin films synthesized using a modified aqueous chemical growth method

The water-energy-food-ecosystem nexus scenario in Africa: Perspective and policy implementations

Performance evaluation of Bi2O3@GO and Bi2O3@rGO composites electrode for supercapacitor application

Modeling and experimental analysis of battery charge controllers for comparing three off-grid photovoltaic power plants

Electrical and meteorological data acquisition system of a commercial and domestic microgrid for monitoring pv parameters

 

 

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 ๐ŸŒณ๐ŸŒ. 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 ๐Ÿ—๏ธ๐ŸŒฒ. His research integrates GIS, machine learning, and statistical modeling to assess forest fragmentation, carbon stock monitoring, and climate change impacts ๐Ÿ“Š๐Ÿ›ฐ๏ธ. Dr. Shabani has led numerous projects on afforestation, ecosystem assessments, and genetic variations in tree species ๐ŸŒฑ๐Ÿ”ฌ. 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 ๐Ÿ“–๐ŸŒฟ. With expertise in ArcGIS, R, and SPSS, he bridges the gap between technology and environmental conservation ๐Ÿ’ป๐Ÿƒ. His dedication to sustainable forest management makes him an outstanding candidate for the Best Researcher Award ๐Ÿ…๐Ÿ‘.

Publication Profile

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Education

Dr. Saeid Shabani earned his Bachelor of Science in Forestry from the University of Guilan, Iran (2005) ๐ŸŒฒ, where he developed a strong foundation in forest management and conservation. He pursued his Master of Science in Forestry at Tarbiat Modares University (2009) ๐Ÿ“Š, focusing on the relationship between forest gaps, physiographic factors, and vegetation in Lalis Forest, Nowshahr ๐ŸŒณ๐Ÿ—บ๏ธ. He further advanced his expertise with a Ph.D. in Forestry from the same institution (2015) ๐Ÿ—๏ธ, specializing in modeling soil and forest stand disturbance caused by logging operations ๐Ÿž๏ธ๐Ÿ”. Dr. Shabaniโ€™s academic journey emphasizes sustainable forest ecosystem development, leveraging GIS, machine learning, and data-driven modeling ๐Ÿ“ˆ๐ŸŒ. His interdisciplinary research bridges ecological conservation and technological advancements to enhance forestry management strategies ๐Ÿ’ก๐ŸŒฑ.

Experience

Dr. Saeid Shabani has extensive experience in forestry research, specializing in forest monitoring, sustainable development, and climate impact assessments ๐ŸŒ๐ŸŒฟ. He has led and collaborated on multiple projects across the Hyrcanian and Arasbaran forests, focusing on afforestation, forest road monitoring, and carbon stock assessment ๐Ÿž๏ธ๐Ÿ“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 ๐ŸŒช๏ธ๐Ÿ›ฐ๏ธ. As a scientific reviewer, he contributes to journals such as Scientific Reports, Turkish Journal of Forestry, and Ecology of Iranian Forests ๐Ÿ“–๐Ÿ“. 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 ๐ŸŒฟ๐Ÿ†. 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 ๐ŸŽ“๐Ÿ‡จ๐Ÿ‡ณ and has won Best Paper Awards for high-impact forestry research in journals like the European Journal of Forest Research ๐Ÿ“œ๐Ÿ…. 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 ๐Ÿ”๐Ÿ“–. He has secured project grants from environmental organizations for studies on afforestation, soil health, and carbon stock modeling ๐ŸŒฒ๐Ÿ’ฐ. His Excellence in Forestry Research Award highlights his innovative use of GIS and machine learning in forest monitoring ๐Ÿ—๏ธ๐Ÿ›ฐ๏ธ. 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 ๐ŸŒฒ๐ŸŒŽ. His expertise lies in applying GIS, machine learning, and statistical modeling to predict forest disturbances caused by natural hazards and human activities ๐Ÿ›ฐ๏ธ๐Ÿ“Š. His research focuses on forest fragmentation and logging impact modeling ๐Ÿ—๏ธ๐ŸŒณ, assessing the effects of snowstorms, windthrow, and climate change on forest ecosystems โ„๏ธ๐ŸŒช๏ธ, and evaluating carbon stock in Hyrcanian and Arasbaran forests ๐ŸŒฑ๐Ÿ“ˆ. Additionally, he contributes to afforestation efforts and sustainable forest management strategies ๐ŸŒฟโ™ป๏ธ while analyzing soil health and biodiversity conservation in forest stands ๐Ÿ”ฌ๐Ÿ‚. Through cutting-edge methodologies, he develops innovative solutions to preserve global forest ecosystems and mitigate environmental risks ๐ŸŒ๐Ÿ’ก. His work plays a vital role in policy-making and sustainable forestry development, ensuring the long-term health of natural resources.

Publication Top Notes

  • ๐Ÿ“œ Spatial Prediction of Soil Disturbance Caused by Forest Logging Using Generalized Additive Models and GIS โ€“ European Journal of Forest Research ๐Ÿ—๏ธ๐ŸŒฒ

  • ๐ŸŒ Forest Stand Susceptibility Mapping During Harvesting Using Logistic Regression and Boosted Regression Tree Models โ€“ Global Ecology and Conservation ๐Ÿ“Š๐Ÿ›ฐ๏ธ

  • ๐Ÿ“ Spatial Modeling of Forest Stand Susceptibility to Logging Operations โ€“ Environmental Impact Assessment Review ๐Ÿž๏ธ๐Ÿ“‰

  • โ„๏ธ Modeling the Susceptibility of Unevenโ€‘Aged Broadโ€‘Leaved Forests to Snowstorm Damage โ€“ Environmental Science and Pollution Research ๐ŸŒจ๏ธ๐ŸŒฒ

  • ๐ŸŒก๏ธ How Do Different Land Uses/Covers Contribute to Land Surface Temperature and Albedo? โ€“ Sustainability ๐Ÿก๐ŸŒž

  • ๐ŸŒฑ Soil Health Reduction Following Conversion of Primary Vegetation Covers in Semi-Arid Environments โ€“ Science of the Total Environment ๐Ÿœ๏ธ๐ŸŒพ

  • ๐Ÿ—บ๏ธ Modeling and Mapping of Soil Damage Caused by Harvesting in Caspian Forests Using CART and RF Techniques โ€“ Journal of Forest Science ๐Ÿ“ˆ๐Ÿ“Š

  • ๐ŸŒช๏ธ Prediction of Windthrow Phenomenon in Deciduous Temperate Forests Using Logistic Regression & Random Forest โ€“ Cerne Journal ๐ŸŒณ๐Ÿ’จ

Arash Javanshir khoei | Environmental Science | Cross-disciplinary Excellence Award

Arash Javanshir khoei | Environmental Science | Cross-disciplinary Excellence Award

Assoc. Prof. Dr Arash Javanshir khoei, University of Tehran, Iran

Assoc. Prof. Dr. Arash Javanshir Khoei is a distinguished marine biologist and ecologist ๐ŸŒŠ๐Ÿš with a Ph.D. in Biological Oceanography from the University of Pierre and Marie Curie, Paris 6 (1999) ๐Ÿ‡ซ๐Ÿ‡ท. His research focuses on parasitology, heavy metal toxicity, aquatic ecology, and environmental sustainability ๐ŸŒฑ๐Ÿ”ฌ. With over three decades of academic and research experience, he has significantly contributed to understanding aquatic ecosystems, pollution effects, and species population dynamics. As a faculty member at the University of Tehran since 2005, he has mentored numerous students and led groundbreaking projects on water purification, microplastics, and sustainable aquaculture ๐Ÿž๏ธ๐ŸŸ. His numerous inventions, including water filtration systems and fish food manure, have earned him multiple national awards ๐Ÿ…. Dr. Khoei has authored impactful publications in high-ranking journals, advancing knowledge in marine science and environmental protection ๐Ÿ“š๐Ÿ”. His expertise and contributions make him a top candidate for the Best Researcher Award.

Publication Profile

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Educationย 

Dr. Arash Javanshir Khoei has an extensive academic background in marine sciences and environmental research ๐ŸŒ. He earned his Ph.D. in Biological Oceanography from the University of Pierre and Marie Curie, Paris 6, France (1999) ๐Ÿ‡ซ๐Ÿ‡ท, where he studied the effects of Digenetic Trematodes on bivalve mollusks in Arcachon Bay ๐Ÿฆ ๐Ÿš. His M.Sc. in Biological Oceanography (1995) from the same university focused on marine ecosystem dynamics. He completed his B.Sc. in Fisheries and Environment at the University of Tehran (1986) ๐Ÿ‡ฎ๐Ÿ‡ท, laying the foundation for his career in aquatic ecology. His academic journey has been marked by pioneering research in parasitology, water pollution, and marine biodiversity. His expertise spans limnology, fish behavior, and aquatic plant ecosystems, making significant contributions to environmental sustainability ๐ŸŒฟ๐Ÿ’ง. Through interdisciplinary research, Dr. Khoei continues to push the boundaries of marine biology, enhancing the scientific communityโ€™s understanding of aquatic environments.

Experience

Dr. Arash Javanshir Khoei has over 30 years of experience in academia and research ๐ŸŒ๐Ÿ”ฌ. He is currently an Associate Professor at the University of Tehran (2012โ€“present) ๐Ÿ‡ฎ๐Ÿ‡ท, where he teaches courses in oceanography, marine ecology, and environmental science ๐Ÿ“–. He previously served as an Assistant Professor at the same university (2005โ€“2012), shaping the next generation of marine scientists ๐ŸŽ“. From 2001 to 2005, he led the Ecology Department at the Ecological Academy of the Caspian Sea, spearheading key environmental research projects ๐ŸŒฑ๐ŸŒŠ. His early career included roles as a researcher at the Marine Research Centre of the Caspian Sea (1989โ€“1992), investigating marine biodiversity and water quality. With numerous national and international projects, Dr. Khoei has significantly contributed to marine conservation, aquaculture, and pollution control efforts ๐Ÿž๏ธ๐Ÿ . His diverse expertise has led to groundbreaking discoveries in environmental sustainability, heavy metal toxicity, and microplastic pollution ๐Ÿ†.

Awards & Honors

Dr. Arash Javanshir Khoei has received multiple prestigious awards for his outstanding contributions to marine science and environmental sustainability ๐ŸŒ๐Ÿ†. In 2015, he was recognized as a Superior Technology Creator by the Alborz Governorate and a Superior Researcher at the University of Tehran ๐Ÿ…. His innovative ideas earned him the Superior Idea Award from the Semnan Governorate in 2018. He holds multiple patents, including Fish Food Manure (2013), Bit Trap Filter (2016), and a System for Absorbing Cyclic Compounds in Water (2018) ๐Ÿ”ฌ๐Ÿ’ง. His research on sustainable water treatment, microplastic pollution, and aquaculture has attracted significant funding, including grants from Iranโ€™s National Science Foundation ๐Ÿ‡ฎ๐Ÿ‡ท. With numerous scientific contributions and technology-driven solutions, Dr. Khoei has become a leading figure in environmental conservation and aquatic research. His relentless dedication to marine ecology makes him a top contender for prestigious research awards ๐ŸŒŠ๐Ÿš.

Research Focus

Dr. Arash Javanshir Khoei’s research spans marine biology, aquatic ecology, and environmental toxicology ๐ŸŒŠ๐Ÿ”ฌ. His early work focused on the effects of Digenetic Trematodes on Bivalve Mollusks, revealing parasite-induced changes in cockle population dynamics ๐Ÿฆ ๐Ÿš. He has extensively studied heavy metal toxicity in aquatic species, evaluating bioaccumulation and immunotoxic effects of pollutants like lead, mercury, and iron oxide nanoparticles ๐ŸŒฑโš—๏ธ. His research also addresses microplastic pollution in the Caspian Sea, emphasizing its impact on marine life ๐ŸŒ๐Ÿ›‘. He pioneered studies on water purification, developing innovative techniques for removing heavy metals, arsenic, and pesticides from aquatic environments ๐Ÿ’งโ™ป๏ธ. Dr. Khoei’s interdisciplinary research extends to sustainable aquaculture, marine ecosystem dynamics, and environmental biotechnology ๐ŸŸ๐ŸŒพ. His work contributes to global efforts in pollution control, biodiversity conservation, and climate change mitigation, making him a leading expert in marine environmental science ๐ŸŒฟ๐ŸŒŠ.

Publication Top Notes

  • Investigating the effects of several parameters on the growth of Chlorella vulgaris using Taguchi’s experimental approach
  • Laboratory studies on egg and fecal pellet production of Centropages typicus: effect of age, effect of temperature, individual variability
  • Evaluation of potential immunotoxic effects of iron oxide nanoparticles (IONPs) on common carp (Cyprinus carpio)
  • Application of physical and biological methods to remove heavy metals, arsenic, and pesticides from water
  • Efficiency of chitosan for the removal of Pb (II), Fe (II), and Cu (II) ions from aqueous solutions
  • Assessment of heavy metals and their relationship with oxidative stress and immune parameters in aquatic species
  • Removal of Hg (II) and Cd (II) ions from aqueous solution using chitosan: kinetics and equilibrium studies
  • An investigation on the accumulation of heavy metals in Avicennia marina from the Persian Gulf
  • Evaluation of bivalve clearance rate (CR) as an indicator of heavy metal toxicity in Anodonta cygnea
  • Toxicity of titanium nano-oxide nanoparticles (TiO2) on the Pacific oyster, Crassostrea gigas

Emad Kazemzadeh | Energy and Sustainability | Best Researcher Award

Emad Kazemzadeh | Energy and Sustainability | Best Researcher Award

Dr Emad Kazemzadeh, Ferdowsi university of Mashhad, Iran

Emad Kazemzadeh is a dedicated researcher in Energy and Environmental Economics, recently completing a Post-Doctoral Research Fellowship at Ferdowsi University of Mashhad, Iran (2022-2023) under Associate Professor Narges Salehniaโ€™s supervision. He holds a Ph.D. in Economics (2022) and has conducted research at the University of Coimbra, Portugal. Emadโ€™s teaching experience spans Microeconomics, Macroeconomics, and energy financing at Ferdowsi and Payam-e-Noor universities. He has also served as a research assistant for distinguished professors and presented at international conferences, including one on income inequalityโ€™s impact on ecological footprints. ๐ŸŒ๐Ÿ“Š๐Ÿ“‰๐Ÿ‘จโ€๐Ÿซ

Publication profile

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Educationย 

Dr. Emad Kazemzadeh is a dedicated Post-Doctoral Researcher specializing in Energy and Environmental Economics at Ferdowsi University of Mashhad, Iran (2022-2023) ๐ŸŒ๐Ÿ“Š, under the mentorship of Associate Professor Narges Salehnia. He completed a research course at the University of Coimbra, Portugal (2020-2021) ๐Ÿ‡ต๐Ÿ‡น๐Ÿ“ˆ, supervised by Professor Josรฉ Alberto Fuinhas. Dr. Kazemzadeh earned his Ph.D. in Economics, focusing on energy and environmental topics, from Ferdowsi University (2016-2022) ๐ŸŽ“๐ŸŒฑ. His academic journey began with an M.Sc. in Economics from Sistan and Baluchestan University (2012) and a B.Sc. in Mathematics from the University of Farhangian (2008) โž•๐Ÿ“.

Experience

Emad Kazemzadeh has been actively engaged in teaching a range of B.Sc. economics courses across Iran. Currently, he teaches Microeconomics I and Principles of Economics (3 units) at Ferdowsi University of Mashhad (2023โ€“2024). Previously, he lectured on Financing and Energy Contracts at the same institution (2021โ€“2023) and Principles of Economics (2 units) in 2022. Emad also taught Macroeconomics I and Microeconomics I and II at Payam-e-Noor University in Ilam, Darreshahr, from 2016 to 2018. His experience highlights his commitment to shaping future economists. ๐Ÿ“˜๐Ÿ“Šโœจ

Conferences and presentations

In a recent seminar at the University of Coimbra, Portugal, the focus was on “The Impact of Income Inequality and Economic Complexity on Ecological Footprint,” analyzing these factors over an extended period ๐ŸŒ๐Ÿ“‰. Additionally, research on Iranโ€™s business landscape was presented at the First International Conference on Economics, Management, Accounting, and Social Sciences, titled “Investigation of the Business Environment in Iran and the Introduction of Influential Institutions” ๐Ÿ“Š๐Ÿ‡ฎ๐Ÿ‡ท. At the Second International Conference on Future Research, Management, and Economic Development, insights were shared through “Analysis of Business Partners of Iranโ€™s Automobile Market,” highlighting market trends and partnerships in this sector ๐Ÿš—๐Ÿ“ˆ.

Awards

Dr. Emad Kazemzadeh was honored as Iran’s Best Researcher by the Ministry of Education in 2023 ๐Ÿ†๐Ÿ‡ฎ๐Ÿ‡ท. Known for his dedication to advancing educational research and innovation ๐Ÿ“š๐Ÿ”, Dr. Kazemzadeh has made significant contributions that shape the academic landscape of Iran. His work emphasizes progressive learning methods, student engagement strategies, and impactful educational policies ๐ŸŽ“๐Ÿ’ก. This recognition highlights his role as a thought leader in the field, inspiring educators and researchers nationwide ๐ŸŒ๐Ÿ‘ฉโ€๐Ÿซ๐Ÿ‘จโ€๐Ÿซ. Dr. Kazemzadehโ€™s achievements reflect his commitment to fostering a brighter future for Iran’s education system and its learners ๐ŸŒฑ๐Ÿ“–.

Research focus

Ehsan Kazemzadeh’s research primarily focuses on environmental economics, exploring the interactions between income inequality, economic complexity, renewable energy, and ecological sustainability ๐ŸŒ๐Ÿ“‰. His studies analyze the ecological footprint and how factors like globalization, renewable energy policies, and energy efficiency impact sustainability in emerging economies and Latin American countries ๐ŸŒฑ๐Ÿ”‹. Kazemzadehโ€™s work also investigates the effectiveness of electric and hybrid vehicles in reducing emissions, using complex models and quantitative methods like quantile regression and data envelopment analysis. His research provides vital insights for policymakers aiming to balance economic growth with ecological preservation and cleaner energy solutions ๐Ÿš—๐Ÿ’จ๐Ÿ“Š.

Publication top notes

The impact of income inequality and economic complexity on ecological footprint: an analysis covering a long-time span

The impact of renewable energy policies on deaths from outdoor and indoor air pollution: Empirical evidence from Latin American and Caribbean countries

Globalization, renewable energy consumption, and agricultural production impacts on ecological footprint in emerging countries: using quantile regression approach

Do energy efficiency and export quality affect the ecological footprint in emerging countries? A two-step approach using the SBMโ€“DEA model and panel quantile regression

Measuring the economic efficiency performance in Latin American and Caribbean countries: An empirical evidence from stochastic production frontier and data envelopment analysis

Effect of battery-electric and plug-in hybrid electric vehicles on PM2. 5 emissions in 29 European countries

Assessing influential factors for ecological footprints: A complex solution approach

Jonathan Ruiz Esquius | Energy | Best Researcher Award

Dr. Jonathan Ruiz Esquius | Energy | Best Researcher Award

ComFuturo Research Fellow, Carbon Science and Technology Institute, Spain

Jonathan Ruiz Esquius is a dynamic researcher specializing in nanomaterials for energy storage and conversion. Currently a ComFuturo Research Fellow at the Instituto Nacional del Carbรณn in Oviedo, Spain, he has a rich background in catalysis and electrochemical applications. With a passion for sustainable energy solutions, Jonathan’s innovative contributions have propelled advancements in oxygen evolution catalysts and hydrogen production materials. ๐ŸŒ๐Ÿ”ฌ

Publication Profile

ORCID

Education

Jonathan has cultivated his expertise in nanotechnology and chemistry through rigorous academic training, with a focus on the development of electrocatalysts for clean energy technologies. His journey reflects a strong foundation in materials science and nanotechnology, with an eye toward addressing global energy challenges. ๐ŸŽ“๐Ÿ“˜

Experience

Jonathan’s career spans top institutions, including his role as a ComFuturo Research Fellow at Instituto Nacional del Carbรณn (2023-present). He has also served as a Research Fellow at the International Iberian Nanotechnology Laboratory in Braga, Portugal, where he focused on energy storage and conversion nanomaterials. Earlier, he was a Research Assistant at Cardiff Universityโ€™s School of Chemistry, contributing to the field of electrocatalysis. ๐Ÿ›๏ธโšก

Research Focus

Jonathan’s research is driven by a commitment to developing advanced electrocatalysts for energy conversion, with a particular focus on hydrogen production and oxygen evolution reactions. His work involves the design of high-entropy materials and mixed-metal oxides to improve efficiency and sustainability in energy processes. His cutting-edge research supports the development of clean energy technologies. โš™๏ธ๐ŸŒฑ

Awards and Honours

Jonathan’s innovative research contributions have earned him recognition in the scientific community, notably his appointment as a ComFuturo Research Fellow. His achievements in electrocatalysis and energy storage underline his commitment to advancing sustainable technologies. ๐Ÿ…โœจ

Publications Top Notes

“Self-supported FeCoNi(OHy)Ox oxy-hydroxide doped with Cr and Cu as robust low-loading catalyst for the alkaline oxygen evolution reaction” was published in International Journal of Hydrogen Energy in October 2024 DOI: 10.1016/j.ijhydene.2024.10.160.
“Mixed iridium-nickel oxides supported on antimony-doped tin oxide as highly efficient and stable acidic oxygen evolution catalysts” appeared in Materials Futures in December 2023 DOI: 10.1088/2752-5724/ad16d2.
“High entropy materials as emerging electrocatalysts for hydrogen production through low-temperature water electrolysis” in Materials Futures DOI: 10.1088/2752-5724/accbd8.

Agnese Rapposelli | Energy and Sustainability | Best Researcher Award

Agnese Rapposelli | Energy and Sustainability | Best Researcher Award

Prof Agnese Rapposelli, University “G. D’Annunzio” of Chieti-Pescara, Italy

Dr. Agnese Rapposelli is a Senior Assistant Professor of Economic Statistics at “G. d’Annunzio” University of Chieti-Pescara, Italy, since November 2021. She holds a Ph.D. in Statistics from the same university and achieved National Scientific Qualification as Associate Professor in 2017. Her research focuses on dynamic methodologies for evaluating complex systems, statistical models for spatial analysis, and the impact of environmental pollution on health ๐ŸŒ๐Ÿ“Š. Dr. Rapposelli has also been a visiting scholar at Warwick Business School and holds professional qualifications as a chartered accountant and accounting auditor.

Publication profile

google scholar

Education

๐ŸŽ“ Achieving academic excellence, I earned a Ph.D. in Statistics from “G. dโ€™Annunzio” University of Chieti-Pescara, Italy, with a thesis on efficiency evaluation and Data Envelopment Analysis under Prof. Mauro Coliโ€™s guidance in April 2006. I previously completed a Laurea in Economics, summa cum laude, at the same university in July 2002, finishing in 3.5 years instead of 4. My high school journey culminated in a Scientific Lyceum diploma with a focus on lab courses and languages (French/English), scoring 54/60 in July 1998. Professionally, I am a certified Chartered Accountant since November 2012 and an Accounting Auditor since January 2014. ๐Ÿ“Š๐Ÿ“šโœˆ๏ธ

Experience

Dr. Agnese Rapposelli has been a dedicated lecturer at “G. D’Annunzio” University of Chieti-Pescara, Italy. Since 2013, they have taught courses in Statistics, Econometrics, and Quantitative Methods, all held in English. ๐Ÿ“Š From 2019-2024, Dr. [Name] taught Statistics and Basic Econometrics for the PhD in Accounting, Management, and Business Economics program. ๐Ÿ“ˆ In 2014-2015, they lectured on Quantitative and Qualitative Methods in Management and Business Administration. ๐Ÿ“š Additionally, in 2013-2014, they focused on Econometric Methods in Finance and Business Administration. ๐Ÿ“‰ Their commitment to education and expertise in these fields have made them a valuable asset to the university. ๐ŸŽ“

Research project

From 2024-2025, I serve as Principal Investigator for the University of Chieti-Pescara’s PRIN 2022 PNRR project on the circular economy through the lens of mathematics for signal processing ๐Ÿ”๐Ÿ”„. In 2022, I investigated statistical models for spatial analysis ๐Ÿ“Š๐ŸŒ, and in 2021, I focused on spatial-temporal models to examine environmental pollution’s impact on human health ๐ŸŒฟ๐Ÿงฌ. From 2020 to 2019, my research analyzed corporate governance and financial performance ๐Ÿ“ˆ๐Ÿข. Earlier, from 2007-2013, I participated in evaluating complex systems ๐Ÿงฉ. In 2007-2008, I evaluated airline efficiency โœˆ๏ธ, and in 2002-2003, I worked on strategic planning and performance measurement for Air One SpA ๐Ÿ“‰๐Ÿ“Š.

Awards

From 2024-2025, I served as the Principal Investigator for the PRIN 2022 PNRR research project โ€œCircular Economy from the Mathematics for Signal Processing Perspectiveโ€ at the University of Chieti-Pescara. I received the Best ItAIS Conference Paper award for my study on carbon emissions and economic growth, presented in 2022. My work on waste sector efficiency earned special mentions at international workshops in 2021 and 2022. I also won the Best Track Award in 2021. In 2020 and 2019, I was ranked first in my department for MIUR research funds based on scientific production. ๐Ÿ“Š๐ŸŒ๐Ÿ†

Research focus

A Rapposelli’s research focuses primarily on environmental efficiency and waste management, as well as the inclusion of disabled individuals in the labor market. His work involves evaluating the joint environmental and cost performance of municipal waste systems, the impact of green technology and environmental policies on ecological footprints, and the efficiency of urban waste services. Additionally, Rapposelli has conducted significant research on the employment of disabled people in Italy, analyzing the effectiveness of laws and policies aimed at their inclusion. His studies employ methods such as data envelopment analysis to assess efficiency and policy implications. ๐ŸŒโ™ป๏ธ๐Ÿ‘จโ€๐Ÿฆฝ๐Ÿ“Š

Publication top notes

Evaluating joint environmental and cost performance in municipal waste management systems through data envelopment analysis: Scale effects and policy implications

Improving waste production and recycling through zero-waste strategy and privatization: An empirical investigation

The impact of green technology innovation, environmental taxes, and renewable energy consumption on ecological footprint in Italy: Fresh evidence from novel dynamic ARDLย โ€ฆ

Monitoring environmental efficiency: an application to Italian provinces

Inclusion of disabled people in the Italian labour market: an efficiency analysis of law 68/1999 at regional level

Efficiency evaluation in an airline company: some empirical results

Employment of disabled people in the private sector. An analysis at the level of Italian Provinces according to article 13 of law 68/1999

The factors affecting Italian provincesโ€™ separate waste-collection rates: An empirical investigation

Assessing efficiency of urban waste services and the role of tariff in a circular economy perspective: An empirical application for Italian municipalities

Regional performance trends in providing employment for persons with disabilities: Evidence from Italy

Minseok Ryu | Energy and Sustainability | Best Researcher Award

Minseok Ryu | Energy and Sustainability | Best Researcher Award

Assist Prof Dr Minseok Ryu, Arizona State University, United States

Dr. Minseok Ryu is an Assistant Professor at Arizona State Universityโ€™s School of Computing and Augmented Intelligence since August 2023 ๐Ÿ‘จโ€๐Ÿซ. He earned his Ph.D. in Industrial and Operations Engineering from the University of Michigan in 2020 ๐ŸŽ“. His research focuses on optimization and machine learning applications in power systems and privacy-preserving federated learning ๐Ÿ”โšก. Dr. Ryu has held positions at Argonne National Laboratory and Los Alamos National Laboratory ๐Ÿข. He has received numerous awards, including the 2024 Alliance Fellowship at Mayo Clinic and ASU and multiple research highlights from the DOE-ASCR ๐ŸŒŸ.

Publication profile

google scholar

Education

Minseok Ryu holds a Ph.D. in Industrial and Operations Engineering from the University of Michigan, Ann Arbor, which he completed in May 2020 ๐ŸŽ“. Before that, he earned an M.S. in Aerospace Engineering from KAIST, Daejeon, Korea, in February 2014 ๐Ÿš€. His academic journey began with a B.S. in Aerospace Engineering from KAIST, which he obtained in February 2012 โœˆ๏ธ.

Employment

Minseok Ryu is currently an Assistant Professor at the School of Computing and Augmented Intelligence at Arizona State University in Tempe, AZ (Aug 2023โ€“present) ๐Ÿ“š. Previously, he was a Postdoctoral Appointee at the Mathematics and Computer Science Division, Argonne National Laboratory, Lemont, IL (Aug 2020โ€“Jul 2023) ๐Ÿ”ฌ. He also worked as a Research Assistant with the Applied Mathematics and Plasma Physics Group, Los Alamos National Laboratory, Los Alamos, NM (May 2019โ€“Aug 2019) ๐Ÿงช. Additionally, he served as a Post Baccalaureate Research Fellow at the Kellogg School of Management, Northwestern University, Evanston, IL (Nov 2014โ€“Apr 2015) ๐ŸŽ“.

Honors & Awards

Minseok Ryu has achieved numerous accolades throughout his career. In 2024, he was honored as an Alliance Fellow by the Mayo Clinic and ASU Alliance for Health Care and participated in the Faculty Summer Residency program. His research was highlighted by the Department of Energyโ€™s Advanced Scientific Computing Research (DOE-ASCR) in both 2023 and 2022. Ryu received the Rackham Graduate Student Research Grant in 2016 and multiple fellowships from the University of Michigan in 2015. Additionally, he earned the National Science Foundation Student Award from INFORMS Computing Society. Earlier, he received the National Scholarship from the Korean government (2010-2013) and accolades from KAIST, including the Department Honor and Best Technical Poster Award in 2010. ๐ŸŽ“๐Ÿ”ฌ๐Ÿ“Š

Presentations

Minseok Ryu has made significant contributions to various fields, presenting his research at numerous esteemed conferences. His work includes heuristic algorithms for geomagnetically induced current blocking devices (Paris, June 2024) ๐ŸŒโšก, generating columns (Phoenix, Oct 2023) ๐Ÿ“, and differentially private algorithms for constrained federated learning (Seattle and Amsterdam, 2023) ๐Ÿ”’๐Ÿค–. He has also focused on privacy-preserving federated learning frameworks (Arlington, Aug 2022; Virtual, June 2022) ๐Ÿ›ก๏ธ๐Ÿ“ก. Additionally, he has explored optimal power flow control, transmission expansion planning, and robust optimization in healthcare staffing across various platforms including INFORMS, SIAM, and international symposiums ๐ŸŒ๐Ÿง‘โ€โš•๏ธ

Research focus

Minseok Ryu’s research primarily focuses on data-driven optimization and privacy-preserving techniques, particularly in federated learning and power systems. His work spans several areas, including robust optimization under uncertainty, privacy-preserving distributed control, and federated learning frameworks. Key applications include improving nurse staffing models, optimizing electric grids against geomagnetic disturbances, and developing secure frameworks for federated learning in biomedical research. Ryu’s contributions are significant in ensuring privacy and robustness in distributed systems and optimization problems. ๐Ÿง ๐Ÿ”’๐Ÿ’ก๐Ÿ”‹๐Ÿ‘ฉโ€โš•๏ธ

Publication top notes

Data-Driven Distributionally Robust Appointment Scheduling over Wasserstein Balls

APPFL: Open-Source Software Framework for Privacy-Preserving Federated Learning

A Privacy-Preserving Distributed Control of Optimal Power Flow

An extended formulation of the convex recoloring problem on a tree

Nurse Staffing under Absenteeism: A Distributionally Robust Optimization Approach

Differentially private federated learning via inexact ADMM with multiple local updates

Mitigating the Impacts of Uncertain Geomagnetic Disturbances on Electric Grids: A Distributionally Robust Optimization Approach

Algorithms for Mitigating the Effect of Uncertain Geomagnetic Disturbances in Electric Grids

Development of an Engineering Education Framework for Aerodynamic Shape Optimization

Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx