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. Apeh’s work significantly impacts renewable energy advancements. His dedication to sustainability and innovation makes him a strong candidate for the Best Researcher Award. 🌞🔬📚

Publication Profile

Google Scholar

Education  

Dr. Oliver O. Apeh 🎓 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) 🌞, 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 🏗️. Additionally, he completed a Postgraduate Certificate in Education (PGCE) in Physics Education from the National Open University of Nigeria (December 2014) 📚. 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 ⚛️. 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 🇿🇦 (2022–Present), where he supervises Honors and Master’s students while researching the Food-Energy-Water Nexus, machine learning applications in solar energy, and blockchain for energy systems 🔬⚡📊. Since 2023, he has also been a Visiting Lecturer at Eduvos Higher Institution, Midrand Campus 🇿🇦, teaching undergraduate students and guiding Honors research 👨‍🏫📖. Previously, he was a Research Assistant at the University of Fort Hare 🇿🇦 (2018–2021), conducting experiments and authoring research papers. In addition, he served as a Student Administrator (2020–2021), assisting international students with visa applications 🌍📝. Dr. Apeh also lectured physics and mathematics at NCM Computer and Business Academy, Fort Beaufort 🇿🇦 (2021) 📚🔢. His career is marked by significant contributions to teaching, supervision, and research, demonstrating his dedication to academia and innovation 🚀🎓.

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 (2017–2021) 🏅, supporting his groundbreaking research. His academic excellence was further recognized through the University of Fort Hare Doctoral Research Award (2017–2021) 🎓, reflecting his outstanding contributions to knowledge. Dr. Apeh’s dedication to discipline and time management earned him a Certificate of Merit for Outstanding Punctuality from St. Cyprian’s Science School in 2014 ⏳. 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 🏆. These accolades showcase his unwavering dedication to education, research, and mentorship, making him a respected figure in academia and beyond. ✨📚

Research Focus

Dr. Oliver O. Apeh’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. ☀️🔗📊

Publication Top Notes

Contributions of solar photovoltaic systems to environmental and socioeconomic aspects of national development—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

 

 

Saikat Gochhait | Energy and Sustainability | Best Researcher Award

Saikat Gochhait | Energy and Sustainability | Best Researcher Award

Dr Saikat Gochhait, Symbiosis Institute of Digital and Telecom Management, India

Assoc. Prof. Dr. Karen Allison is a dynamic academic with extensive expertise in Digital and Telecom Management. Currently serving at Symbiosis International Deemed University, Pune, she has held roles at Asian School of Business Management and the Ministry of MSME. Her impressive academic journey spans a Ph.D. in Industrial Marketing from Sambalpur University, postdoctoral fellowships in Taiwan and Spain, and an Honoris Causa doctorate from Mexico. A senior IEEE member, her impactful research includes AI in branding and optimization algorithms. Passionate about innovation and collaboration, Dr. Allison is a Teaching and Research Fellow at Samara State Medical University. 🌟📚🌐

Publication Profile

google scholar

Education

Dr. Saikat Gochhait 🎓✨ holds a Postdoctoral Fellowship in Entrepreneurship from the University of Extremadura (2018) and another from National Dong Hwa University (2019). He earned his PhD in Marketing from Sambalpur University, India (2014), supported by the prestigious Doctoral Bursary Award from Coventry University (2010). Throughout his academic journey, Dr. Gochhait has been honored with esteemed fellowships, including the DITA Fellowship from the University of Deusto (2016), the MOFA Taiwan Fellowship (2019), and a Russian Fellowship from Samara State Medical University (2020). His achievements underscore his dedication to advancing knowledge and fostering global academic collaboration. 🌍📚

Teaching and Industry Experience

Dr. Saikat Gochhait is a seasoned academic with 15 years of teaching experience in marketing, entrepreneurship, and IT, complemented by five years in manufacturing with Tata and Bajoria Groups. He has earned prestigious accolades, including the MOFA Taiwan Fellowship (2019) and the Russian Fellowship from Samara State Medical University (2020). A proponent of research-led education, Dr. Gochhait’s expertise bridges theoretical and practical domains, fostering innovation and impactful learning. His diverse background and global recognition reflect his dedication to excellence in academia and industry. 🌟📚🏭

Achievements and Innovations 🏆🤖

Dr. Saikat Gochhait holds an honorary doctorate and serves as a Teaching and Research Fellow at Samara State Medical University. Her distinguished academic contributions are further solidified by her active membership in IEEE, reflecting her global recognition in the academic and research community. With expertise spanning various fields, she has become a prominent figure in education, research, and innovation. Her dedication to advancing knowledge and fostering collaboration continues to inspire peers and students alike. Dr. Gochhait exemplifies excellence through her impactful roles and influential presence in the scholarly world. 👩‍🎓✨🌍

Research Focus

Dr. Saikat Gochhait’s research focuses on artificial intelligence (AI), optimization algorithms, cloud computing, agile software development, and digital technologies, particularly in the fields of e-commerce, healthcare, and cybersecurity. He has explored AI’s impact on branding and behavior patterns in e-commerce, along with bio-inspired optimization algorithms such as the Pufferfish and Giant Armadillo algorithms. Additionally, his work extends to cloud computing’s role in agile software development and machine learning applications in healthcare, including bed occupancy issues. Dr. Gochhait’s interdisciplinary approach combines computer science, AI, and technology for practical applications. 💻🤖📊🌐⚙️🧠

Publication Top Notes

The impact of artificial intelligence on branding: a bibliometric analysis (1982-2019)

Agile scrum issues at large-scale distributed projects: scrum project development at large

Comparing the socio‐economic implications of the 1918 Spanish flu and the COVID‐19 pandemic in India: A systematic review of literature

Cloud enhances agile software development

Digital entertainment: The next evolution in service sector

Pufferfish Optimization Algorithm: A New Bio-Inspired Metaheuristic Algorithm for Solving Optimization Problems

Leveraging digital twin technology in the healthcare industry—a machine learning based approach

Role of artificial intelligence (AI) in understanding the behavior pattern: a study on e-commerce

Giant Armadillo optimization: A new bio-inspired metaheuristic algorithm for solving optimization problems

Hyperparameter determines the best learning curve on single, multi-layer and deep neural network of student grade prediction of Pokhara university Nepal