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

 

 

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

Muhamad Safuan Shamshol Bahri | Environmental Hypotheses | Research Hypothesis Excellence Award

Muhamad Safuan Shamshol Bahri | Environmental Hypotheses | Research Hypothesis Excellence Award

Mr Muhamad Safuan Shamshol Bahri, Malaysia Institute of Transport, MITRANS, Universiti Teknologi MARA, Shah Alam, Malaysia

Dr. Muhamad Safuan Shamshol Bahri is a distinguished researcher in transport and logistics, specializing in sustainable port operations ๐ŸŒฟโš“. Currently pursuing his PhD at Universiti Teknologi MARA (UiTM), he has made significant contributions to environmental sustainability in maritime logistics. His expertise lies in performance measurement, green port policies, and decision-making frameworks ๐Ÿ“Š๐ŸŒ. A lecturer and former quality engineer, he has received multiple gold awards for his research on intelligent decision-making in ports ๐Ÿฅ‡๐Ÿ”ฌ. As an active member of TAM and MSORSM, Dr. Bahri continues to shape the future of sustainable maritime operations through impactful research, innovation, and industry collaboration ๐Ÿšข๐Ÿ’ก.

Publication Profile

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Education

Mr. Muhamad Safuan Shamshol Bahri is a dedicated researcher pursuing a Doctor of Philosophy (PhD) in Transport and Logistics at Universiti Teknologi MARA, Shah Alam (2022 – Present) ๐Ÿ“šโš™๏ธ. He previously earned a Master of Science (MSc) in Logistics and Transportation from the same university (2021 – 2022) ๐ŸŽ“โœ…, graduating on time. His academic journey began with a Bachelor of Naval Architecture and Offshore Engineering (Hons.) from Universiti Teknologi Malaysia, Skudai (2015 – 2019) โ›ต, where he achieved a commendable CGPA of 3.42/4.00. His expertise lies in maritime engineering, logistics, and transportation, contributing to advancements in these fields. ๐Ÿšข๐Ÿ“ฆ

Experience

Mr. Muhamad Safuan Shamshol Bahri is an experienced educator and engineer with a strong background in maritime business, logistics, and quality management. As a Lecturer at Peninsula College (Northern) in Georgetown (2021-2022) ๐Ÿ“–, he taught maritime business and logistics management ๐Ÿšข, designed curricula, and guided student projects ๐Ÿ“š. Previously, he worked as a Quality Engineer at JTEKT Automotive Malaysia Sdn Bhd (2019-2021) ๐Ÿญ, ensuring product compliance with customer specifications ๐Ÿ“‹. His role involved conducting root cause failure analysis โš™๏ธ, implementing preventive measures, and managing inspection reports and quality documentation โœ…. His expertise bridges both academia and industry, contributing to innovation and excellence.

Awards & Honors

Mr. Muhamad Safuan Shamshol Bahri has demonstrated excellence in maritime logistics and sustainable port innovation through multiple prestigious awards. He earned the Gold Award for An Ingenious Priority Determination for Sustainable Port (AI_DSP) at IBMVIC 2024 ๐Ÿ… and the Bronze Medal for the same project at IIDEX 2024 ๐Ÿฅ‰. His expertise was further recognized with two Gold Awards ๐Ÿฅ‡ for An Intelligent MCDM Performance Measurement for Maritime Logistics (IMPerMAL) at VMIIE 2022 and the 4th Virtual International Breakthrough IID Exhibition 2022. His contributions continue to enhance decision-making and performance measurement in the maritime industry. ๐Ÿšขโš“

Research Interest

Muhamad Safuan Shamshol Bahri is a dedicated researcher specializing in Management Science and Operations Research, with a focus on performance measurement and Data Envelopment Analysis (DEA) ๐Ÿ“Š๐Ÿ“ˆ. His expertise extends to Multicriteria Decision Making (MCDM), where he applies advanced analytical methods to optimize decision-making processes ๐Ÿค–โš™๏ธ. With a strong academic and research background, he contributes to the development of innovative frameworks that enhance efficiency and effectiveness in various industries ๐Ÿข๐Ÿ’ก. His work plays a crucial role in improving decision support systems, ensuring that organizations can achieve optimal performance through data-driven strategies ๐Ÿ“‰โœ….

Research Focus

Dr. Muhamad Safuan Shamshol Bahri’s research focuses on environmental sustainability in port operations โš“๐ŸŒฑ. He specializes in green port performance measurement, developing MCDM-based decision-making models, and integrating sustainable practices in logistics ๐Ÿ“Š๐Ÿ”. His work also explores regulatory frameworks and governance for eco-friendly port operations, utilizing methodologies like Data Envelopment Analysis (DEA) and Intuitionistic Fuzzy AHP ๐ŸŒ๐Ÿ“ˆ. Through his studies, he contributes to optimizing operational efficiency while minimizing environmental impact, advancing sustainability in maritime logistics ๐ŸŒŠ๐Ÿ’ก.

Publication Top Notes

A tri-level AHP approach for port logistics personnel performance evaluation

Comparative analysis on decision criteria for port personnel using hybrid Analytical Hierarchy Process (H-AHP)

Evaluating cost-efficient queue priorities for berth allocation via simulation

Comparative Analysis On Port Personnel Selection Using Hybrid Analytical Hierarchy Process (h-AHP)

Use of Monte Carlo simulation for hybrid multicriteria decision making approaches

Sustainable port operations and environmental initiatives in Malaysia: A focus on environmental sustainability

Evaluating Priorities of Environmentally Sustainable Port Performance Using an Intuitionistic Fuzzy Analytical Hierarchy Process Approach

A Hybrid Multicriteria Decision-Making Model for Environmentally Sustainable Port

 

 

 

 

chen yan | Engineering and Technology | Best Researcher Award

chen yan | Engineering and Technology | Best Researcher Award

Dr chen yan, Shantou Polytechnic, China

Dr. Chen Yan ๐ŸŽ“ is a dedicated researcher in Structural Engineering, holding a Ph.D. from Shantou University ๐Ÿ—๏ธ. Currently a Postdoc at Shantou University and a Lecturer at Shantou Polytechnic ๐Ÿ“š, Dr. Chen specializes in foamed concrete modification, geopolymer materials, and building sustainability ๐ŸŒฑ. With numerous journal publications ๐Ÿ“„, patents โš™๏ธ, and leadership in scientific projects ๐Ÿ”ฌ, he has guided students to win prestigious competitions ๐Ÿ†. Honored as a “Shantou Youth Skilled Expert” in 2021 ๐ŸŒŸ, his work bridges academic excellence and practical innovation in civil engineering ๐Ÿข.

Publication Profile

Scopus

Education Backgroundย 

Dr. Chen Yan ๐ŸŽ“ is a dedicated scholar in Civil and Environmental Engineering. Currently a Postdoctoral Researcher at Shantou University ๐Ÿซ (since December 2024), Dr. Yan earned a Ph.D. in Structural Engineering (2015โ€“2024) and a Masterโ€™s in the same field (2010โ€“2013) from Shantou University, Guangdong, China ๐ŸŒ. His academic journey began with a Bachelor’s in Civil Engineering from Hebei Normal University of Science & Technology (2005โ€“2009) ๐Ÿ—๏ธ. With a strong foundation in structural engineering, Dr. Yan focuses on innovative research, contributing to advancements in civil infrastructure and environmental sustainability ๐ŸŒฑ๐Ÿ”ฌ.

Experience

Dr. Chen Yan has been a dedicated Lecturer at Shantou Polytechnic, Guangdong, China, since July 2013 ๐Ÿ“š. She teaches courses like “G101 Flat Method Drawing and Detail Application” and “Building Mechanics and Structure” ๐Ÿ—๏ธ. As a first advisor, she guided students to win prestigious awards, including the Grand Award and “Excellent Advisor Award” at the 15th “Challenge Cup” in 2019 ๐Ÿ†. She also mentored projects under the “Climbing Plan” and secured Innovation Awards in entrepreneurship competitions ๐Ÿ’ก. Earlier, she served as Assistant Project Manager at Dongguan Fuying Real Estate Co., Ltd. (2009โ€“2010), assisting with construction applications ๐Ÿข.

Awardsย 

Dr. Chen Yan ๐Ÿ… was honored with the title of “Shantou Youth Skilled Expert” for the 2020-2021 period in recognition of exceptional expertise and contributions. In July 2023, Dr. Yan successfully presided over the application for the “Off-campus Practical Teaching Demonstration Base for Engineering Cost Major” in collaboration with Jichuanying Ancient Building Construction Co., Ltd. ๐Ÿ—๏ธ This initiative received official certification from the Guangdong Provincial Department of Education ๐ŸŽ“, highlighting Dr. Yan’s dedication to enhancing practical teaching and promoting academic-industry integration. ๐ŸŒŸ

Research Interestsย 

Dr. Chen Yan specializes in foamed concrete modification research ๐Ÿงช๐Ÿ—๏ธ, focusing on enhancing the performance of cementitious materials. His work includes the analysis of micro-properties of these materials ๐Ÿ”ฌ, providing insights into their structural behavior. He also utilizes numerical simulation techniques ๐Ÿ’ป to predict and optimize the performance of cementitious composites. Dr. Yan’s research extends to innovative geopolymer materials ๐ŸŒ, promoting eco-friendly construction solutions. Additionally, he is dedicated to advancing building energy efficiency and sustainability ๐ŸŒฑ๐Ÿข, contributing to greener and more energy-efficient architectural designs. His multidisciplinary approach drives innovation in modern construction technologies. ๐Ÿš€

Project Leadership

Dr. Chen Yan’s research focuses on material performance improvement and vocational education strategies. ๐Ÿงช๐Ÿ”ฌ In the field of materials science, Dr. Chen explores innovative techniques to enhance material durability, efficiency, and sustainability, contributing to advancements in industrial applications. โš™๏ธ๐ŸŒ Simultaneously, Dr. Chen is dedicated to improving vocational education, developing strategies to align technical skills with evolving industry demands. ๐ŸŽ“๐Ÿ“š His work bridges the gap between scientific innovation and practical workforce development, ensuring that both materials and human resources achieve optimal performance. ๐Ÿš€๐Ÿค Through government-funded projects, Dr. Chen fosters growth in both technology and education sectors. ๐Ÿ’ผ๐Ÿ”

Research Focus

Dr. Chen Yan’s research focuses on materials science and civil engineering ๐Ÿ—๏ธ๐Ÿ”ฌ. Specializing in the preparation and properties of wollastonite-microfiber-modified foamed concrete ๐Ÿงช๐Ÿงฑ, Dr. Yan explores advanced construction materials to enhance mechanical strength, durability, and thermal insulation ๐ŸŒก๏ธโšก. The work emphasizes optimizing foamed concrete with wollastonite microfibers to improve structural performance, lightweight applications, and eco-efficiency ๐ŸŒโ™ป๏ธ. This research contributes significantly to sustainable building technologies, offering innovative solutions for modern construction projects ๐Ÿข๐Ÿš€. Dr. Yan’s studies bridge the gap between material innovation and real-world construction needs, promoting resilience and sustainability in infrastructure development ๐ŸŒ†๐Ÿž๏ธ.

Publication Top Notes

Preparation and properties of wollastonite-microfiber-modified foamed concrete

 

 

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

Masoud Mahdianpari | Environmental Science | Research Hypothesis Excellence Award

Masoud Mahdianpari | Environmental Science | Research Hypothesis Excellence Award

Dr Masoud Mahdianpari, Memorial University of Newfoundland/C-CORE, Canada

Based on the provided information, Dr. Masoud Mahdianpari is indeed a strong candidate for the Research for Research Hypothesis Excellence Award. His extensive educational background, professional experience, and contributions to the field of remote sensing and data science highlight his qualifications.

Publication profile

google scholar

Educational Background

Dr. Masoud Mahdianpari holds a Ph.D. in Electrical Engineering from Memorial University of Newfoundland (2015-2019), along with a Masterโ€™s in Remote Sensing Engineering and a Bachelorโ€™s in Geomatics Engineering, both from the University of Tehran (2010-2013, 2006-2010). His robust academic foundation has equipped him with advanced knowledge in remote sensing and data analysis.

Professional Experience

Currently serving as a Cross-appointed Professor at Memorial University of Newfoundland and Remote Sensing Technical Lead at C-CORE, Ottawa, Dr. Mahdianpari has significant experience in applying machine learning and remote sensing technologies. His previous roles include Remote Sensing Scientist and Research Assistant at C-CORE, where he has developed expertise in image processing, feature extraction, and target detection.

Research Expertise

Dr. Mahdianpari specializes in machine learning, big data technologies, and radar remote sensing. His work encompasses high-resolution image processing, environmental monitoring, and GHG emission estimation. He is leading several projects focused on wetland mapping and methane emission estimation in the Arctic, leveraging advanced remote sensing data and cloud computing platforms.

Professional Appointments

As an associate editor for various journals, including IEEE Geoscience and Remote Sensing Letters and Frontiers in Environmental Science, Dr. Mahdianpari contributes to the academic community and promotes high-quality research. He is a member of several professional societies, such as IEEE and ASPRS, demonstrating his active engagement in the field.

Recent Honors and Awards

Dr. Mahdianpari has been recognized for his contributions to science, including being ranked in the top 1% of scientists worldwide (2023-2024) and receiving multiple awards for his research excellence. Notably, he has secured grants such as the NSERC Discovery Grant (2022-2027) and the Microsoft AI for Earth grant, highlighting his innovative work in environmental monitoring.

Project Leadership

Dr. Mahdianpari is currently leading the ESA Carbon Science Cluster project, aiming to enhance methane emission estimates from wetlands in the Arctic. This project underscores his leadership in addressing critical environmental challenges and advancing remote sensing methodologies.

Research Interests

His research focuses on environmental monitoring and wetland mapping using remote sensing data, emphasizing machine learning and multi-sensor image classification. Currently, he leads projects related to greenhouse gas (GHG) monitoring, showcasing his commitment to addressing pressing environmental issues.

Project Experience

He currently leads a project for the European Space Agency focused on improving methane emission estimates from wetlands, an initiative of significant environmental importance. This role emphasizes his leadership in research that impacts global environmental policies.

Publications and Presentations

Dr. Mahdianpari has authored numerous influential publications, including studies on remote sensing image classification and advanced machine learning applications in environmental monitoring. His research has contributed significantly to the field, evidenced by his citations and presentations at major international conferences.

Conference Contributions

He has presented at several prestigious conferences, showcasing his research on water quality monitoring and electrical potential preservation. His publications in leading journals further establish his reputation as a thought leader in remote sensing and environmental science.

Conclusion

In summary, Dr. Masoud Mahdianpari’s outstanding qualifications, research contributions, and recognition in the field make him a highly suitable candidate for the Research for Research Hypothesis Excellence Award. His dedication to advancing remote sensing technology and addressing pressing environmental issues through innovative research exemplifies excellence in academic and applied research.

Publication top notes

Google Earth Engine for geo-big data applications: A meta-analysis and systematic review

Support vector machine versus random forest for remote sensing image classification: A meta-analysis and systematic review

Very deep convolutional neural networks for complex land cover mapping using multispectral remote sensing imagery

Random forest wetland classification using ALOS-2 L-band, RADARSAT-2 C-band, and TerraSAR-X imagery

The first wetland inventory map of newfoundland at a spatial resolution of 10 m using sentinel-1 and sentinel-2 data on the google earth engine cloud computing platform

Deep convolutional neural network for complex wetland classification using optical remote sensing imagery

A new fully convolutional neural network for semantic segmentation of polarimetric SAR imagery in complex land cover ecosystem

Comparing deep learning and shallow learning for large-scale wetland classification in Alberta, Canada

A systematic review of landsat data for change detection applications: 50 years of monitoring the earth

Bagging and boosting ensemble classifiers for classification of multispectral, hyperspectral and PolSAR data: a comparative evaluation

 

MADHIARASAN M | Renewable Energy Technologies | Best Researcher Award

MADHIARASAN M | Renewable Energy Technologies | Best Researcher Award

Dr MADHIARASAN M, French Institute of Pondicherry, India

Publication profile

google scholar

EDUCATIONAL PROFILE

Dr. Madhiarasan M holds an impressive educational background in electrical engineering. He earned his Ph.D. in Electrical Engineering from Anna University, Chennai (2018). He completed his M.E. in Electrical Drives and Embedded Control with a CGPA of 8.403 (2013) and a B.E. in Electrical and Electronics Engineering from Anna University (2010). His recent postdoctoral fellowships include roles at the Transilvania University of Braศ™ov (2022-2023) and IIT Roorkee (2020-2022). These credentials position him as a scholar with robust expertise in both engineering theory and practical applications.

FIELD OF INTEREST & ACADEMIC PROJECTS

Dr. Madhiarasanโ€™s research interests span SCADA-based supervisory control, robotics for power transmission line inspection, and hybrid neural network models for renewable energy forecasting. His UG and PG projects focused on control systems and robotics, while his Ph.D. tackled neural network applications in energy forecasting. His research aligns with global energy sustainability initiatives, showcasing his commitment to solving pressing electrical engineering challenges.

EXPERIENCE

He has accumulated extensive academic and research experience, starting as a lecturer in 2010. He has taught at various institutions, including the Madras Institute of Technology and Anna University. As an assistant professor at the Bharat Institute of Engineering and Technology (2018-2020), and later as a research fellow, his contributions to academia are significant. His current role at the French Institute of Pondicherry further extends his research prowess.

AWARDS

Among his accolades, Dr. Madhiarasan received the UGC Fellowship and Transilvania Fellowship for young researchers. In 2023, he was honored with the Best Researcher Award at the 10th Global Research Awards on Artificial Intelligence and Robotics. His accolades highlight his excellence in research, particularly in AI and renewable energy applications.

PROJECT GUIDANCE

His project supervision includes the development of IoT-based systems, including energy monitoring and robotics for military use. His work has practical applications, particularly in power transmission monitoring and control, emphasizing his capability to guide impactful projects in the field of electrical and computer engineering.

WORKSHOPS/SEMINARS/CONFERENCE ORGANIZATION

Dr. Madhiarasan has organized key academic events, such as the World Entrepreneursโ€™ Day TECHFEST 2023 and national workshops on research writing. He also co-coordinated AICTE-sponsored faculty development programs on artificial intelligence at IIT Roorkee. His leadership in academic forums demonstrates his active engagement in sharing knowledge with the broader research community.

EDITOR & REVIEWER

He has contributed as an editor for various international journals and special issues, including those on renewable energy and embedded technologies. His editorial work in prestigious journals like Sensors (MDPI) reflects his strong academic standing in the field of electrical engineering and renewable energy research.

CO-CURRICULAR CERTIFICATIONS

Dr. Madhiarasan has completed numerous certifications related to wind and solar energy, electronics, and design thinking, which reflect his commitment to continuous learning. These certifications from top global universities via Coursera strengthen his expertise in energy systems and innovation.

ACHIEVEMENTS

Throughout his career, Dr. Madhiarasan has excelled in academics, including ranking second in his M.E. program. His extracurricular achievements include awards in oratory competitions and television appearances. His participation in national seminars and debates further demonstrates his well-rounded profile as a scholar and communicator.

RESEARCH FOCUS

M. Madhiarasan’s research primarily focuses on applying artificial neural networks (ANNs) and machine learning techniques to wind speed forecasting. His work includes developing methods to optimize neural network architectures, such as selecting the appropriate number of hidden neurons for improved prediction accuracy. He has explored various ANN models, including backpropagation, radial basis function, and spiking neural networks, enhancing their performance with optimization algorithms like Grey Wolf Optimization. Additionally, his studies cover different forecast horizons, long-term predictions, and comparative analyses of network architectures for wind energy applications. ๐ŸŒฌ๏ธ๐ŸŒ๐Ÿค–๐Ÿ“Š

CONCLUSION

Dr. Madhiarasan M is highly suitable for the Best Researcher Award. With his comprehensive educational background, extensive research experience, and significant contributions to the field of electrical engineering and renewable energy, he stands out as a leader in academic and industrial collaborations. His awards, editorial roles, and leadership in organizing academic events further support his candidacy for this prestigious honor.

PUBLICATION TOP NOTES

Comparative analysis on hidden neurons estimation in multi layer perceptron neural networks for wind speed forecasting

A novel criterion to select hidden neuron numbers in improved back propagation networks for wind speed forecasting

Accurate prediction of different forecast horizons wind speed using a recursive radial basis function neural network

Analysis of artificial neural network: architecture, types, and forecasting applications

Long-Term Wind Speed Forecasting using Spiking Neural Network Optimized by Improved Modified Grey Wolf Optimization Algorithm

A comprehensive review of sign language recognition: Different types, modalities, and datasets

ELMAN Neural Network with Modified Grey Wolf Optimizer for Enhanced Wind Speed Forecasting

New criteria for estimating the hidden layer neuron numbers for recursive radial basis function networks and its application in wind speed forecasting

Performance investigation of six artificial neural networks for different time scale wind speed forecasting in three wind farms of coimbatore region

Analysis of artificial neural network performance based on influencing factors for temperature forecasting applications

A Novel Method to Select Hidden Neurons in ELMAN Neural Network for Wind Speed Prediction Application

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