Helen Snethemba Ndlovu | Machine Learnings | Best Researcher Award

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Dr. Helen Snethemba Ndlovu | Machine Learnings | Best Researcher Award

Doctoral Researcher at University of KwaZulu-Natal | South Africa

Dr. Helen Snethemba Ndlovu is a dynamic and interdisciplinary researcher from KwaZulu-Natal, South Africa, specializing in AI-driven environmental monitoring, GIS, remote sensing, and climate resilience. She applies cutting-edge geospatial technologies, including UAV-based thermal and multispectral sensing, to support precision agriculture, biodiversity conservation, ecosystem management, and sustainable resource use. Helen has extensive experience in environmental research, community engagement, and data-driven decision-making, contributing to both academic and policy-oriented initiatives.

Professional Profile:

Education: 

Dr. Helen Snethemba holds a Doctor of Philosophy (PhD) in Environmental Science from the University of KwaZulu-Natal, where her research focused on using UAV thermal and multispectral remote sensing to assess crop water status in neglected and underutilized taro crops within smallholder farming systems. She earned a Master of Science in Environmental Science at the same institution, with research on high-resolution UAV imagery to monitor leaf moisture in smallholder maize farms. She also completed a Bachelor of Science (Honours) in Environmental Science, with distinction in Analytical GIS, and a Bachelor of Science in Environmental Science, graduating with merit for her ecology research.

Experience:

Dr. Helen Snethemba currently serves as an Ad Hoc Lecturer at the University of KwaZulu-Natal, delivering modules on Analytical GIS, Advanced Spatial Modelling, and GIS & Remote Sensing, while mentoring postgraduate students. She has previously worked as a Junior Scientist at the Institute of Natural Resources, conducting water quality assessments, developing citizen science protocols for macroplastic monitoring, and designing geospatial tools for resource management. Helen has held positions as an Environmental Field Officer with Amanzi Ethu Nobuntu NPC, a Research Assistant at the Agricultural Research Council, and a Teaching Assistant and Environmental Management Tutor at the University of KwaZulu-Natal, contributing to field-based research, GIS and remote sensing instruction, and community-based environmental projects.

Research Inteest:

Dr. Helen Snethemba’s research focuses on AI-driven environmental monitoring, UAV-based remote sensing, geospatial modelling, and climate resilience. Her interests include precision agriculture, crop water management, biodiversity and ecosystem conservation, invasive species detection, sustainable resource management, and data-driven decision-making. She leverages machine learning, big data analytics, and cloud computing platforms to process and interpret satellite and UAV imagery, contributing to evidence-based policy development and sustainable environmental solutions.

Publications Top Noted:

  1. A comparative estimation of maize leaf water content using machine learning techniques and unmanned aerial vehicle (UAV)-based proximal and remotely sensed data – Year: 2021 | Citations: 86

  2. A systematic review on the application of UAV-based thermal remote sensing for assessing and monitoring crop water status in crop farming systems – Year: 2024 | Citations: 15

  3. Detecting and mapping the spatial distribution of Chromoleana odorata invasions in communal areas of South Africa using Sentinel-2 multispectral remotely sensed data – Year: 2022 | Citations: 13

  4. Mapping the Eucalyptus spp. woodlots in communal areas of Southern Africa using Sentinel-2 Multi-Spectral Imager data for hydrological applications – Year: 2021 | Citations: 13

  5. Use of unmanned aerial vehicle-derived multi-spectral data for the early detection of multi-temporal maize leaf equivalent water thickness and fuel moisture content – Year: 2024 | Citations: 5

Conclusion:

Dr. Helen Snethemba Ndlovu exemplifies excellence in environmental science, AI applications, and geospatial research. Her innovative work on UAV-based monitoring, precision agriculture, and ecosystem management contributes significantly to climate resilience and sustainable resource use. By combining cutting-edge technology with community and policy engagement, she bridges research and real-world application. Her dedication to mentorship, research innovation, and interdisciplinary collaboration positions her as a leading figure in her field. Recognition through the Global Network & Technology Excellence Awards highlights her outstanding contributions and commitment to advancing sustainable environmental solutions.

Esther Magondu | Agri-Tech Apps | Best Researcher Award

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Dr. Esther Magondu | Agri-Tech Apps | Best Researcher Award

Dr. Esther Magondu is a Kenyan research scientist specializing in sustainable aquatic food systems and integrated marine aquaculture. She has extensive experience in stakeholder engagement, research management, and implementation of ISO standards, with a focus on improving aquaculture productivity and promoting climate-smart fisheries in East Africa.

Professional Profile:

Education: 

Dr. Esther Magondu holds a PhD in Fisheries and Aquaculture from Pwani University, a Master of Science in Aquaculture and Marine Resources Management from Wageningen University, The Netherlands, and a Bachelor of Science in Fisheries and Aquatic Sciences from Moi University, Kenya. Her early education includes the Kenya Certificate of Secondary Education from Karima Girls High School. Her doctoral research focused on Integrated Multitrophic Aquaculture (IMTA) systems, emphasizing sustainable co-culture of marine species.

Experience:

Dr. Esther Magondu Wairimu Magondu currently serves as a Scientist in Aquatic Farming Practices at WorldFish. She previously worked at the Kenya Marine and Fisheries Research Institute (KMFRI), holding roles from Research Scientist to Senior Research Scientist. In these positions, she conducted cutting-edge research on marine aquaculture systems, supervised multidisciplinary research teams, coordinated donor-funded projects, and mentored both undergraduate and postgraduate students. She has also served as a Centre Director at KMFRI Mombasa and as a part-time lecturer at Nairobi University. Her work emphasizes innovation in aquaculture, stakeholder engagement, and sustainable blue economy practices.

Research Inteest:

  • Integrated Multitrophic Aquaculture (IMTA): Optimizing co-culture of fish, bivalves, and sea cucumbers for increased productivity.

  • Marine and Coastal Aquaculture: Sustainable fish and shrimp production.

  • Aquaculture Nutrition: Development of locally formulated feed for improved fish growth.

  • Climate-Smart Fisheries: Adoption of resilient aquaculture technologies to improve food security.

  • Blue Economy Development: Community engagement and innovative aquaculture solutions for socio-economic benefits.

Publications Top Noted:

  1. Societal and environmental impacts of seaweed farming in relation to rural development: The case of Kibuyuni village, south coast, Kenya, Year: 2020 | 46 citations.

  2. Effect of C/N ratio levels and stocking density of Labeo victorianus on pond environmental quality using maize flour as a carbon source, Year: 2013 | 42 citations.

  3. Evaluation of sodium chloride (NaCl) for potential prophylactic treatment and its short-term toxicity to African catfish Clarias gariepinus yolk-sac and swim-up fry, Year: 2011 | 29 citations.

  4. Toward integration of sea cucumber and cockles with culture of shrimps in earthen ponds in Kenya, Year: 2022 | 14 citations.

  5. Life cycle responses of the midge of Chironomus species to sugarcane and paper pulp effluents exposure, Year: 2016 | 12 citations.

Conclusion:

Dr. Esther Magondu exemplifies excellence in aquaculture research and sustainable blue economy development. Her innovative approaches to IMTA, climate-smart fisheries, and community-driven solutions have significantly advanced sustainable aquatic food systems in East Africa. She effectively bridges scientific research, policy, and practice, creating meaningful societal and environmental impacts. Her dedication to mentoring the next generation of researchers and engaging stakeholders reflects leadership and vision in her field. Recognition through the Global Network & Technology Excellence Awards underscores her outstanding contributions and commitment to sustainable innovation.

Abdelaziz Saidi | Renewable Energy | Best Researcher Award

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Assoc. Prof. Dr. Abdelaziz Saidi | Renewable Energy | Best Researcher Award

Senior Transmission Engineering Expert at Saudi Electricity Company | Saudi Arabia

Dr. Abdelaziz Salah Saidi is a Senior Transmission Engineering Expert at the Grid Studies Department, National Grid SA, where he specializes in system stability and resilience studies with renewable energy integration. He previously served as Associate Professor of Electrical Engineering at King Khalid University, Saudi Arabia, where he supervised numerous undergraduate, master’s, and Ph.D. projects. He is a permanent member of the Université de Tunis El Manar – Laboratoire des Systèmes Electriques, and an active member of the IEEE Power & Energy Society. Dr. Saidi has published over 90 research papers in indexed journals and international conferences and holds a patent on multifunctional inverters for solar water pumping systems.

Professional Profile:

Education: 

Dr. Abdelaziz Saidi earned his Ph.D. in Electrical Engineering from the National Engineering School of Tunis (ENIT), University of Tunis – El Manar, with a dissertation on Dynamic Stability of the Power System Integrating Wind Farms: Bifurcations Analysis under the supervision of Profs. Mohamed Elleuch and Khadija Ben Kilani. He obtained his M.Sc. in Electrical Engineering from the same institution, focusing on Voltage Stability of the Power System by Modal Analysis. He also completed his B.Sc. in Electrical Systems at the University of Tunis – El Manar.

Experience:

Dr. Abdelaziz Saidi began his career as a teacher in Tunisia before joining academia as an Assistant Professor at the Higher Institute of Computer Science of Kef. He later moved to Saudi Arabia, serving at King Khalid University as Assistant Professor and then Associate Professor, focusing on power system planning, stability, operation and renewable energy integration. Alongside his teaching, he acted as Consultant for the Energy and Water Resources Research Unit, Member of the Renewable Energy Committee, and Researcher at the Center for Artificial Intelligence. Since September, he has been a Senior Transmission Engineering Expert at National Grid SA, working on grid stability and resilience studies with renewable energy sources.

Research Inteest:

Dr. Abdelaziz Saidi ’s research covers a broad spectrum of power system engineering. His primary interests include power system stability and control (dynamic, transient, and voltage stability), renewable energy integration (solar PV, wind, hybrid microgrids, and green hydrogen), and artificial intelligence applications in power and energy systems (forecasting, optimization, and intelligent control). He has also contributed to studies on grid-connected photovoltaic plants, smart grid protection systems, distributed generation, and power quality issues. His work bridges theoretical modeling, simulation, and practical applications with industry partners.

Publications Top Noted:

  1. Efficient Medical Diagnosis of Human Heart Diseases using Machine Learning Techniques with and without GridSearchCV, Year: 2022 | Citations: 269.

  2. Impact of Grid-Tied Photovoltaic Systems on Voltage Stability of Tunisian Distribution Networks Using Dynamic Reactive Power Control, Year: 2022 | Citations: 79

  3. Improvement of Techno-Economic Optimal Sizing of a Hybrid Off-Grid Microgrid System, Year: 2021, Citations: 76.

  4. Powering up Microgrids: A Comprehensive Review of Innovative and Intelligent Protection Approaches for Enhanced Reliability, Year: 2023 | Citations: 57.

  5. Impact of Large Photovoltaic Power Penetration on the Voltage Regulation and Dynamic Performance of the Tunisian Power System, Year: 2020 | Citations: 52.

Conclusion:

Dr. Abdelaziz Saidi exemplifies the qualities of a leading researcher in renewable energy and power systems. His dedication to advancing knowledge, combined with practical innovations and academic mentorship, has created a lasting impact in both industry and academia. By continuously integrating cutting-edge research with real-world applications, he strengthens the resilience and sustainability of modern energy networks. His contributions reflect a commitment to excellence, innovation, and global collaboration. Recognition through the Global Network & Technology Excellence Awards is a testament to his outstanding achievements and leadership in the field.

Sana Said | Renewable Energy | Women Researcher Award

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Dr. Sana Said | Renewable Energy | Women Researcher Award

Sana Said at Higher School of Science and Technology of Hammam Sousse | Tunisia

Dr. Sana Said is an accomplished Doctor of Engineering Physics specializing in solar energy systems. With strong expertise in experimental analysis, numerical modeling, and design of renewable energy technologies, she brings a unique blend of research excellence and teaching passion. Currently engaged in postdoctoral research, Dr. Sana fosters both scholarly inquiry and student mentorship in physical sciences.

Professional Profile:

Education: 

Dr. Said earned her Ph.D. in Engineering Physics from ESSTHS, where her dissertation focused on enhancing the performance of vacuum tube solar collectors integrated with phase-change materials. Prior to this, she completed a Research Master’s in Materials Physics and Energy and a Bachelor’s in General Physics at ESSTHS, as well as her high school diploma in experimental sciences.

Experience:

Dr. Said served as a Research Intern in the Laboratory of Metabolic Biophysics and Applied Occupational and Environmental Toxicology at the Faculty of Medicine. Previously, she conducted research at the Laboratory of Energy and Materials (LABEM), ESSTHS. She also gained teaching experience as a primary school teacher and continues to provide personalized tutoring across educational levels. she completed practical industrial training at STIP in Tunisia.

Research Interest:

Dr. Said’s research centers on solar thermal energy systems, particularly evacuated tube collectors enhanced with phase-change materials. She excels in both experimental testing and numerical modeling to quantify thermal performance, aiming to improve sustainable energy solutions through innovative heat transfer designs.

Publications Top Noted:

Optimizing Thermal Performance of Evacuated Tube Solar Collectors with Cascaded Phase Change Materials,

  • Year: 2025

Performance Enhancement of Evacuated U-Tube Solar Collector Integrated with Phase Change Material,

  • Year: 2024 | Cited: 10

An Experimental Assessment on the Performance of Different Evacuated Tube Solar Collector Configurations,

  • Year: 2024

New Evacuated Tube Solar Collector with Parabolic Trough Collector and Helical Coil Heat Exchanger for Domestic Water Heating,

  • Year: 2023 | Cited: 20

An Experimental Comparison of the Performance of Various Evacuated Tube Solar Collector Designs,

  • Year: 2023 | Cited: 22

Conclusion:

Dr. Sana Said’s exceptional contributions to solar energy research and her innovative approach to thermal system enhancement position her as a deserving recipient of the Women Researcher Award. Her integration of phase-change materials into solar collectors demonstrates a forward-thinking approach to renewable energy efficiency. With her blend of technical expertise, research productivity, and dedication to mentorship, she continues to make a meaningful impact in academia and the renewable energy sector. With broader international collaboration and industry partnerships, Dr. Said is poised to further elevate her influence in shaping sustainable energy futures.

Dr. Spyros Giannelos | Renewable Energy | Excellence in Research Award

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Dr. Spyros Giannelos | Renewable Energy | Excellence in Research Award

Dr. Spyros Giannelos | Renewable Energy – Research Associate at Imperial College London, United Kingdom

Dr. Spyros Giannelos is an accomplished researcher in the fields of energy economics, smart grid technologies, and optimization. With a strong academic background and extensive industry experience, he has made significant contributions to the development of sustainable energy systems through advanced modeling techniques and strategic planning. His work focuses on enhancing the efficiency and resilience of power systems using cutting-edge machine learning and optimization algorithms. Dr. Giannelos’s research has been widely recognized for its impact on both theoretical foundations and real-world applications in energy management and smart grid technologies. 🚀

Profile:

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Education:

Dr. Giannelos holds an advanced degree in energy systems and power optimization, earned from a prestigious institution. His academic journey equipped him with expertise in the principles of energy economics, machine learning, and optimization models. This rigorous training laid the foundation for his future research, allowing him to explore innovative solutions to global energy challenges. His education emphasized both the theoretical aspects of energy systems and their practical applications, fostering a deep understanding of how to address energy sustainability and efficiency through advanced technologies. 🎓

Experience:

Dr. Giannelos currently serves as a faculty member at Imperial College London, where he applies his extensive knowledge to research and teach about energy systems, smart grids, and optimization techniques. His career spans both academia and the energy sector, where he has worked on numerous projects focusing on grid optimization, renewable energy integration, and electric vehicle smart charging. Throughout his career, he has collaborated with international researchers, industry leaders, and policymakers, contributing to projects that shape the future of global energy systems. His practical experience is complemented by a strong publication record, reflecting his commitment to advancing energy research. ⚡

Research Interests:

Dr. Giannelos’s research interests lie at the intersection of energy systems, machine learning, and optimization models. He focuses on developing innovative methods to improve the efficiency, reliability, and sustainability of power grids. His work explores the strategic valuation of smart grid technologies, the integration of renewable energy sources, and the optimization of energy storage systems. Dr. Giannelos is particularly interested in applying advanced machine learning algorithms to predict energy consumption patterns, optimize grid operations, and enhance decision-making processes in energy management. 🌍

Awards:

Dr. Giannelos has received several prestigious awards in recognition of his outstanding contributions to energy research. His work on smart grid technologies, electric vehicle charging strategies, and energy optimization models has earned him accolades from leading energy research organizations and academic institutions. These awards reflect not only the impact of his research on the academic community but also its practical significance in addressing real-world energy challenges. His ability to bridge the gap between theoretical research and industry applications makes him a distinguished figure in the field of energy economics. 🏆

Publications:

Dr. Giannelos has authored and co-authored numerous influential publications in the realm of energy systems and optimization. Here are seven of his key works:

  1. Strategic Valuation of Smart Grid Technology Options in Distribution Networks (2016)
    📄 Cited by 114
  2. Machine Learning Approaches for Predictions of CO2 Emissions in the Building Sector (2024)
    📄 Cited by 24
  3. Modelling Smart Grid Technologies in Optimisation Problems for Electricity Grids (2023)
    📄 Cited by 40
  4. Strategic Network Expansion Planning with Electric Vehicle Smart Charging Concepts as Investment Options (2022)
    📄 Cited by 78
  5. Option Value of Demand-Side Response Schemes Under Decision-Dependent Uncertainty (2018)
    📄 Cited by 50
  6. Long-Term Expansion Planning of the Transmission Network in India Under Multi-Dimensional Uncertainty (2021)
    📄 Cited by 26
  7. A Machine Learning Approach for Generating and Evaluating Forecasts on the Environmental Impact of the Buildings Sector ( 2023)

Conclusion:

Dr. Spyros Giannelos is an outstanding candidate for the Excellence in Research Award due to his significant contributions to the fields of energy economics, smart grid technologies, and optimization. His research has not only advanced theoretical understanding but also provided practical solutions that address critical challenges in energy management and sustainability.

Mr. Devesh Chand | Renewable Energy | Best Researcher Award

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Mr. Devesh Chand | Renewable Energy | Best Researcher Award

Mr. Devesh Chand, Fiji National University, Fiji

Mr. Devesh Chand is a dedicated educator and researcher in the fields of Mathematics, Physics, and Renewable Energy. He currently serves as a secondary school teacher under the Ministry of Education, Fiji, teaching Mathematics and Physics at Xavier College, Ba. With a strong academic foundation from Fiji National University, his expertise lies in problem-solving, analytical thinking, and scientific exploration. Throughout his academic journey, he has demonstrated exceptional skills in Mathematics, earning multiple awards for academic excellence. His research focuses on renewable energy solutions, aiming to develop sustainable and innovative energy technologies. Beyond academics, Mr. Chand has shown leadership through environmental initiatives and extracurricular activities. His commitment to teaching, research, and community development makes him a well-rounded professional, striving for excellence in both education and applied sciences.

Professional Profile

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🏆 Suitability for Best Researcher Award 

Mr. Devesh Chand is a promising researcher in Renewable Energy, combining his strong academic background with innovative thinking to address modern energy challenges. His exceptional performance in Mathematics and Physics, coupled with his passion for scientific discovery, makes him a suitable candidate for the Best Researcher Award. His contributions to academia as an educator have inspired students while his research in sustainable energy solutions has the potential to drive impactful change. Mr. Chand’s dedication to excellence is evident through his numerous academic achievements, awards, and involvement in environmental initiatives. His ability to integrate theoretical knowledge with practical applications sets him apart as a researcher who can contribute meaningfully to the field of renewable energy. With a strong foundation in research methodology, critical thinking, and scientific inquiry, he exemplifies the qualities of an outstanding researcher, making him a deserving nominee for this prestigious recognition.

🎓 Education 

Mr. Devesh Chand holds a Bachelor of Education in Secondary Teaching (Mathematics & Physics) from Fiji National University, College of Humanities and Education. His academic journey started at Arya Kanya Pathshala, Yalalevu, Ba, where he completed his primary education from 2008 to 2016. He later pursued his secondary education at Kamil Muslim College, Yalalevu, Ba, from 2017 to 2022, excelling in Mathematics and Technical Drawing. His outstanding academic performance earned him multiple excellence awards, showcasing his strong analytical and problem-solving abilities. Currently, he is advancing his expertise in renewable energy through independent research. His academic background has equipped him with a strong understanding of complex mathematical and physical concepts, which he applies in both his teaching and research endeavors. Mr. Chand’s continuous pursuit of knowledge and passion for STEM education contribute significantly to his professional growth and research contributions in renewable energy.

💼 Experience

Mr. Devesh Chand is currently a Secondary School Teacher at Xavier College, Ba, under the Ministry of Education, Fiji, where he teaches Mathematics and Physics. His expertise in analytical problem-solving and scientific methodology allows him to effectively engage students in STEM subjects. He is committed to fostering critical thinking and innovation in the classroom, preparing students for higher education and research. In addition to his teaching role, he has been actively involved in educational research and curriculum development. His previous experience at Fiji National University, Suva, has further strengthened his foundation in academic instruction and research methodologies. With a keen interest in renewable energy, he integrates real-world applications into his teaching, inspiring students to explore sustainable solutions. Mr. Chand’s dedication to education, research, and environmental awareness positions him as an impactful educator and a rising researcher in the field of energy sustainability.

🏅 Awards and Honors

Mr. Devesh Chand has received several prestigious awards in recognition of his academic excellence and leadership. His achievements include:

  • Best Student in Mathematics (2021) at Kamil Muslim College 🏆
  • Academic Excellence Award for 100% in Mathematics (FY13CE 2021) 🥇
  • Academic Excellence Award for 98% in Mathematics (FY12CE 2020) 📊
  • Academic Excellence Award for 97% in Technical Drawing (FY12CE 2020) 🏗️
  • Best Environmental Officer Award (2019) at Kamil Muslim College 🌍
  • Bronze Standard Award in the Duke of Edinburgh’s International Award 🏅

These accolades reflect his dedication to academic achievement, problem-solving, and environmental consciousness. His exceptional performance in STEM fields, coupled with his leadership skills, establishes him as a distinguished scholar and educator. Mr. Chand’s commitment to excellence continues to drive his research endeavors, making him a deserving candidate for recognition in research and academia.

🔬 Research Focus 

Mr. Devesh Chand’s research is centered on Renewable Energy, with a particular focus on sustainable and efficient energy solutions. His work aims to develop innovative approaches to harness renewable energy sources, including solar, wind, and hydroelectric power, to address global energy challenges. His research explores energy optimization techniques, investigating how emerging technologies can enhance energy efficiency while reducing environmental impact. Through his strong background in Physics and Mathematics, Mr. Chand applies analytical models to study energy conversion, storage, and distribution systems. His interest in clean energy solutions aligns with the global push for sustainability, and he is dedicated to contributing knowledge that will support energy security in the future. By integrating theoretical research with practical applications, he aspires to develop cutting-edge solutions that improve the accessibility and reliability of renewable energy. His research has significant potential to impact sustainable development and environmental conservation.

Publication Top Notes:

Title: Beyond Energy Access: How Renewable Energy Fosters Resilience in Island Communities
  • Publication Date: January 27, 2025

 

Teshome Lindi Kumissa | power systems | Best Researcher Award

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Teshome Lindi Kumissa | power systems | Best Researcher Award

Dr. Teshome Lindi Kumissa, Hawassa University Institute Of Technology Faculty of Electrical Engineering , Ethiopia.

Publication profile

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Education 🎓

  • Ph.D. Candidate: Power System Planning & Management, Addis Ababa University (Defense Remaining)
  • M.Sc.: Electrical Engineering (Power Engineering), Adama Science & Technology University (2008–2010)
  • B.Sc.: Electrical-Electronics Technology, Adama Science & Technology University (1998–2002)
  • Advanced Diploma: Electrical Engineering, Bahirdar Polytechnic Institute (1991–1994)

Experience 🧑‍🏫

  • Senior Lecturer: Electrical & Computer Engineering, Hawassa University (1995–2012)
  • Dean/Vice Dean: SERE Bonga TVET College, Ethiopia (1995–2012)

Suitability For The Award

Dr. Teshome Lindi Kumissa, a Ph.D. candidate and Senior Lecturer in the Department of Electrical and Computer Engineering at Hawassa University, has made significant contributions to the field of power systems engineering. With an impressive academic and professional background spanning over two decades, he has a proven track record in research, teaching, and leadership, making him a commendable nominee for the Best Researcher Award.

Professional Development 

Dr. Teshome Lindi Kumissa has demonstrated exceptional expertise in power systems, renewable energy, and electrical engineering innovation 💡. His professional development includes advanced training in transient stability analysis, power electronics, and renewable energy systems 🌱. He has contributed to groundbreaking research on voltage stability and dynamic security tools, leveraging SCADA systems for enhanced grid reliability. Dr. Kumissa’s dedication extends to mentoring students and designing sustainable energy solutions for communities, such as solar PV systems for rural Ethiopia ☀️. A thought leader in his field, he actively participates in research reviews and collaborates on impactful projects addressing global energy challenges. 🌍⚡

Research Focus 

Awards and Honors

  • 🎓 Ph.D. Candidacy Achievement: Recognized for significant contributions to power system stability analysis tools.
  • 📜 Publications: Multiple peer-reviewed articles in high-impact journals (e.g., Energies, Electricity).
  • 🌱 Rural Energy Solutions: Recognized for impactful solar PV design projects in Ethiopia.
  • 🛠 Engineering Innovation: Contributions to power system tools and renewable energy integration.

Publoication Top Notes

  • Transient Stability-Based Fast Power System Contingency Screening and Ranking 📰, Electricity (2024) | DOI: 10.3390/electricity5040048 | Cited by: 0
  • Adaptive Order and Step-Size Differential Transformation Method-Based Power System Transient Stability Simulation ⚡, Australian Journal of Electrical and Electronics Engineering (2024) | DOI: 10.1080/1448837x.2024.2359210 | Cited by: 0
  • Fast Power System Transient Stability Simulation 🌐, Energies (2023) | DOI: 10.3390/en16207157 | Cited by: 0

 

Assist. Prof. Dr. Nikos Loukeris | Philosophy | Best Researcher Award

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Assist. Prof. Dr. Nikos Loukeris | Philosophy | Best Researcher Award

Assist. Prof. Dr. Nikos Loukeris, University of West Attica & Princeton University, Greece

Nikolaos Loukeris is an accomplished academic and business leader, currently serving as an Assistant Professor of Finance & Shipping at the University of West Attica. Elected in October 2020, he has made significant contributions to academia as a Supervisor of Internships at Princeton University and as a Visiting Professor at the Hellenic Open University. Loukeris is also the Founder and Managing Director of ‘Loukeris N, Business Consultants – Accountants’ and ‘Lamda Engineers.’ He is a renowned speaker at international conferences, focusing on governance, shipping, and finance. His expertise encompasses the intersection of technology and finance, particularly in shipping operations. Nikolaos’s commitment to education and mentorship is reflected in his initiatives that connect students with industry executives, fostering practical insights into the business world. His dedication to advancing knowledge and promoting innovative practices in finance and shipping makes him a pivotal figure in the field.

Professional Profile

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Suitability Summary for Nikolaos Loukeris for the Best Researcher Award

Nikolaos Loukeris stands out as an exemplary candidate for the Best Researcher Award due to his extensive contributions to the fields of finance and shipping, both in academia and industry. His multifaceted role as an Assistant Professor at the University of West Attica, along with his positions as a visiting professor and managing director of two consultancy firms, demonstrates his commitment to both education and practical application of his research.

🎓 Education 

Nikolaos Loukeris holds a solid educational background in finance and shipping, which forms the foundation of his extensive professional career. He earned his undergraduate degree in Business Administration, followed by a master’s degree in Maritime Studies, specializing in shipping finance. This strong academic foundation equipped him with the skills necessary to navigate the complexities of the shipping industry and finance. He further enhanced his expertise by completing a Ph.D. in Finance, focusing on innovative methodologies for financial analysis in maritime contexts. Nikolaos’s educational journey reflects his dedication to understanding the nuances of both finance and shipping, which he integrates into his teaching and consultancy practices. Additionally, he has undertaken various professional development courses, ensuring he stays updated on the latest trends and advancements in the fields of finance and shipping. His commitment to lifelong learning empowers him to provide invaluable insights to his students and clients alike.

 💼 Experience 

Nikolaos Loukeris has a diverse and impressive professional background in finance and shipping. Currently, he serves as an Assistant Professor at the University of West Attica, where he teaches courses related to finance and shipping, guiding students toward academic and professional excellence. His role as a Supervisor of Internships at Princeton University exemplifies his dedication to providing students with real-world experiences. In addition, Nikolaos is a Visiting Professor at the Hellenic Open University, where he imparts knowledge in governance and shipping. As the Founder and Managing Director of ‘Loukeris N, Business Consultants – Accountants’ and ‘Lamda Engineers,’ he combines academic knowledge with practical application, assisting businesses in navigating financial challenges. His involvement in various conferences as a speaker and panelist showcases his expertise and thought leadership in the industry. With over a decade of experience, Nikolaos continues to make significant contributions to academia and the business world.

🏅Awards and Honors 

Nikolaos Loukeris has been recognized for his outstanding contributions to the fields of finance and shipping through numerous awards and honors. He has been a keynote speaker at the 6th International Conference on Business Economics and Finance in Suzhu, China, and has presented at prestigious events such as the IEEE Plenary Conference in Bern, Switzerland. His excellence in lecturing was acknowledged by students at the Athens University of Economics and Business, who rated him 4.32 out of 5 in the Computational Finance course. Nikolaos has also received a Research Paper Award at the IABPAD International Conference in Honolulu for his work on bankruptcy prediction using advanced hybrid models. Furthermore, he has played pivotal roles as a chairman and co-organizer for several symposiums and sessions on computational intelligence and finance, showcasing his commitment to advancing knowledge and fostering collaboration in these fields.

 🌍 Research Focus 

Nikolaos Loukeris’s research focus lies at the intersection of finance, shipping, and technology, with particular attention to the application of computational intelligence in financial decision-making and risk management. His work explores innovative methodologies for portfolio optimization, bankruptcy prediction, and the integration of artificial intelligence in shipping operations. By examining the impact of emerging technologies on traditional finance, Nikolaos aims to develop models that enhance decision-making processes in dynamic markets. His research also investigates the role of governance in shipping and finance, emphasizing the importance of strategic oversight in ensuring sustainable practices. Nikolaos actively participates in international conferences, sharing his findings and collaborating with fellow researchers to promote advancements in the field. His commitment to applying theoretical knowledge to practical scenarios drives his research agenda, positioning him as a thought leader in finance and shipping sectors.

  📖 publication Top Notes

A numerical evaluation of meta-heuristic techniques in portfolio optimisation
Cited by: 49
Corporate financial evaluation and bankruptcy prediction implementing artificial intelligence methods

Cited by: 33

An empirical evaluation of CAPM’s validity in the British stock exchange

Cited by: 26

Further Higher Moments in Portfolio Selection and A Priori Detection of Bankruptcy, Under Multi‐layer Perceptron Neural Networks, Hybrid Neuro‐genetic MLPs …

Cited by: 22

Radial basis functions networks to hybrid neuro-genetic RBFNs in financial evaluation of corporations

Cited by: 21

Dr. yongliang shi | Reconstruction | Best Researcher Award

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Dr. yongliang shi | Reconstruction | Best Researcher Award

Dr. yongliang shi, Qiyuan Lab, China

Shi Yongliang is a dedicated researcher specializing in Navigation, Embodied AI, and 3D/4D Reconstruction. Currently serving as a Postdoctoral Researcher at Tsinghua University, his research focuses on advancing intelligent systems, particularly in robotics and autonomous navigation. He earned his Ph.D. in Bionics and Robotics from the Beijing Institute of Technology, where he cultivated his expertise in cutting-edge robotics technologies. Shi has published several notable works in top-tier journals and conferences, contributing significantly to the fields of robotic navigation, neural semantic mapping, and localization. His work aims to push the boundaries of AI-driven systems for real-world applications, particularly in smart cities and autonomous vehicles. Shi’s research has been recognized for its innovative approach to solving complex challenges in AI and robotics.

Professional Profile

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Summary of Suitability for the Best Researcher Award

Shi Yongliang is an outstanding candidate for the Best Researcher Award. His research not only demonstrates innovation and technical mastery but also addresses real-world challenges in robotics and AI. His contributions to large-scale systems, combined with a consistent record of high-impact publications, make him highly suitable for this award.

🎓 Education 

Shi Yongliang holds a Ph.D. in Bionics and Robotics from the Beijing Institute of Technology, completed in 2021. His doctoral studies focused on developing advanced robotic systems and AI integration. Prior to that, he earned an M.Sc. in Precision Instruments and Machinery from North University of China in 2016, where he gained hands-on experience in machine design, instrumentation, and control systems. Shi began his academic journey with a Bachelor of Engineering in Vehicles Engineering from the same institution in 2013. His educational background has been instrumental in shaping his research in AI and robotics, providing a strong foundation in mechanical engineering, automation, and intelligent systems. Shi’s multidisciplinary education allows him to approach his research from a holistic perspective, integrating hardware and software solutions for robotics and autonomous systems.

 💼 Experience 

Shi Yongliang’s professional journey began with his role as a Postdoctoral Researcher at Tsinghua University’s Department of Computer Science and Technology, where he worked from October 2021 to December 2023. During this time, he contributed to several groundbreaking projects in the fields of robotics, navigation, and AI. Shi’s expertise spans the areas of 3D/4D reconstruction, semantic mapping, and global localization in large-scale environments. Before joining Tsinghua, he completed his Ph.D. at the Beijing Institute of Technology, focusing on robotics and AI integration. His early career also includes earning his Master’s degree in Precision Instruments and Machinery and Bachelor’s in Vehicles Engineering from North University of China, laying the groundwork for his advanced research. Shi’s work consistently pushes the frontiers of AI and robotics, making him a key contributor to the development of future intelligent systems.

 🏅Awards and Honors 

Shi Yongliang has been recognized with several prestigious awards for his contributions to robotics and AI. As a Postdoctoral Researcher at Tsinghua University, he received the “Best Paper Award” at the IEEE International Conference on Robotics and Automation (ICRA) in 2023 for his groundbreaking work on robotic global localization. During his Ph.D., he earned the “Excellence in Research Award” from the Beijing Institute of Technology for his innovative research on neural semantic mapping. Shi was also awarded the “Outstanding Graduate Researcher” title at North University of China during his Master’s studies. His achievements highlight his dedication to advancing autonomous systems and his impactful contributions to the fields of embodied AI, 3D/4D reconstruction, and smart city applications. Shi’s consistent performance in research and development has earned him a reputation as an emerging leader in AI and robotics.

🌍 Research Focus 

Shi Yongliang’s research focuses on three major areas: Navigation, Embodied AI, and 3D/4D Reconstruction. His work aims to address the challenges of robotic navigation in complex environments, with a particular emphasis on city-scale neural semantic mapping. Shi has developed innovative methods for robotic localization and mapping, applying AI to improve the accuracy and efficiency of autonomous systems. His research on 3D/4D reconstruction leverages AI to create dynamic, real-time representations of environments, which are essential for autonomous navigation. Shi is also actively exploring Embodied AI, which integrates physical systems with AI to enable robots to perform tasks in real-world environments more effectively. His work has significant implications for the development of autonomous vehicles, smart cities, and intelligent navigation systems, pushing the boundaries of AI-driven robotics.

 📖 Publication Top notes

  • Mars: An instance-aware, modular and realistic simulator for autonomous driving
    • Cited by: 63
  • Latitude: Robotic global localization with truncated dynamic low-pass filter in city-scale nerf
    • Cited by: 36
  • Design of a hybrid indoor location system based on multi-sensor fusion for robot navigation
    • Cited by: 30
  • Robotic binding of rebar based on active perception and planning
    • Cited by: 25
  • LCPF: A particle filter lidar SLAM system with loop detection and correction
    • Cited by: 23