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. πŸš€

Profile:

Orcid

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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. πŸŽ“

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. πŸ†

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)
    πŸ“„ Cited by 114
  2. Machine Learning Approaches for Predictions of CO2 Emissions in the Building Sector (2024)
    πŸ“„ Cited by 24
  3. Modelling Smart Grid Technologies in Optimisation Problems for Electricity Grids (2023)
    πŸ“„ Cited by 40
  4. Strategic Network Expansion Planning with Electric Vehicle Smart Charging Concepts as Investment Options (2022)
    πŸ“„ Cited by 78
  5. Option Value of Demand-Side Response Schemes Under Decision-Dependent Uncertainty (2018)
    πŸ“„ Cited by 50
  6. Long-Term Expansion Planning of the Transmission Network in India Under Multi-Dimensional Uncertainty (2021)
    πŸ“„ 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.

Dr. Marcos JosΓ© Alves-Pinto Junior | sustainability | Best Researcher Award

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Dr. Marcos JosΓ© Alves-Pinto Junior | sustainability | Best Researcher Award

Dr. Marcos JosΓ© Alves-Pinto Junior | State University of Campinas – UNICAMP | Brazil

Dr. Marcos JosΓ© Alves Pinto Junior is a dedicated academic and researcher in the field of sustainability, focusing on the intersection of ecological footprint, happiness, and academic performance. He is currently a Postdoctoral Fellow at Universidade Estadual de Campinas (UNICAMP), Brazil. With extensive experience as an educator and researcher, his contributions span various sustainability-related projects, particularly in higher education. Dr. Alves Pinto has published multiple papers on sustainability, happiness, and academic performance and serves as an Editorial Board Member for the International Journal of Sustainability in Higher Education πŸ“šπŸŒπŸŽ“.

Professional Profile:

ORCID

Suitability for Best Researcher Award:

Dr. Alves Pinto has focused his research on the crucial intersection between ecological footprint, happiness, and academic performance. This area of study is not only timely but also extremely relevant given the growing emphasis on environmental sustainability and well-being in contemporary education. His ability to link these diverse domains demonstrates his interdisciplinary approach, which is a hallmark of impactful research.

Education

  • 2023 – Present: Postdoctoral Fellow, UNICAMP, Brazil πŸŽ“
  • 2017 – 2021: Doctorate in Production Engineering, Universidade Paulista (UNIP), Brazil πŸŽ“
  • 2014 – 2016: Master’s in Production Engineering, Universidade Federal de SΓ£o Carlos (UFSCAR), Brazil πŸŽ“
  • 2015 – 2016: Specialization in Higher Education Teaching, Faculdade da Aldeia de CarapicuΓ­ba (FALC), Brazil πŸ§‘β€πŸ«
  • 2013 – 2015: Bachelor’s in Pedagogy, Faculdade da Aldeia de CarapicuΓ­ba (FALC), Brazil πŸ“–
  • 2010 – 2012: Specialization in Production Engineering, Centro UniversitΓ‘rio Internacional (UNINTER), Brazil βš™οΈ
  • 2012: Bachelor’s in Business Administration, Faculdade de Tecnologia Arthur de Azevedo de Mogi Mirim (FATEC), Brazil πŸ’Ό
  • 2005 – 2008: Bachelor’s in Business Administration, Fundação de Ensino OctΓ‘vio Bastos (UNIFEOB), Brazil πŸ“Š

Professional Development

Dr. Alves Pinto’s professional growth has been marked by both academic and industry contributions. He currently serves as a professor at Centro Estadual de Educação TecnolΓ³gica Paula Souza (CEETEPS), where he has been teaching since 2011. His international exposure includes research activities at Beijing Normal University (BNU) in China. He has actively collaborated on sustainability research, focusing on student well-being and the integration of ecological practices in higher education πŸŒπŸ“˜. Dr. Alves Pinto’s work continues to bridge the gap between academia and sustainability, especially through his postdoctoral research and editorial contributions πŸ“‘πŸŒ±.

Research Focus

Dr. Marcos JosΓ© Alves Pinto Junior’s research focuses on the sustainable aspects of higher education, particularly the relationship between ecological footprint, happiness, and academic performance among university students. He investigates how sustainability practices affect students’ well-being and academic success. His work also extends to quantitative models for assessing student sustainability, with particular interest in comparative studies of Brazilian and international students πŸŒ±πŸ“š. Through his research, he aims to enhance sustainable practices within educational institutions, supporting environmental consciousness and personal happiness among students πŸŒπŸ’‘.

Awards and Honors

  • Editorial Board Member, International Journal of Sustainability in Higher Education (2024 – Present) πŸ“œ
  • Recognition for research on student sustainability and happiness in higher education πŸŽ“
  • Multiple publications in high-impact journals on sustainability and environmental studies πŸ†πŸ“‘
  • Academic cooperation at Beijing Normal University (2016) for doctoral research 🏫🌏

Publication Top notes:

  • β€œA quantitative assessment model for students’ sustainability: evidence from a Peruvian university” β€“ Cited by: 2️⃣5️⃣
  • β€œIndividual-level characteristics of environmental sustainability among students in a higher education institution: the role of happiness and academic performance” – Cited by: 1️⃣5️⃣
  • β€œAdoption of design for environment practices in the electronics industry: A case study” – Cited by: 1️⃣0️⃣
  • β€œCalibration of a questionnaire for evaluation of happiness” β€“ Cited by: 8️⃣

 

 

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

Orcid

Education πŸŽ“

  • 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 πŸ§‘β€πŸ«

  • 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 πŸ’‘. His professional development includes advanced training in transient stability analysis, power electronics, and renewable energy systems πŸŒ±. 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 β˜€οΈ. A thought leader in his field, he actively participates in research reviews and collaborates on impactful projects addressing global energy challenges. πŸŒβš‘

Research Focus 

Awards and Honors

  • πŸŽ“ Ph.D. Candidacy Achievement: Recognized for significant contributions to power system stability analysis tools.
  • πŸ“œ 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.
  • πŸ›  Engineering Innovation: Contributions to power system tools and renewable energy integration.

Publoication Top Notes

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

 

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

scopus

Google scholar

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.

πŸŽ“ 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.

 πŸ’Ό 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.

 πŸ…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 β€œBest 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 β€œExcellence in Research Award” from the Beijing Institute of Technology for his innovative research on neural semantic mapping. Shi was also awarded the β€œOutstanding 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.

 πŸ“– 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

Dr. Anthony Okoji | Energy Optimizations | Best Researcher Award

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Dr. Anthony Okoji | Energy optimizations | Best Researcher Award

Dr. Anthony Okoji, Covenant University, Nigeria

πŸ‘¨β€πŸ« Dr. Anthony Okoji, a versatile academic and professional in Chemical Engineering, holds a Ph.D. from Covenant University and has a rich educational background from institutions like Ladoke Akintola University of Technology and the University of Ibadan. With extensive experience spanning academia and industry, he has served as a Lecturer I at Covenant University and as an Assistant Lecturer at Nnamdi Azikwe University. Dr. Okoji’s expertise extends to various areas, including Chemical Engineering Process design, Thermodynamics, and Energy Conversion Processes. He has contributed significantly to research and project supervision, with administrative roles such as Postgraduate coordinator and Departmental excursion coordinator. A member of prestigious engineering societies like COREN and NSE, Dr. Okoji’s commitment to excellence is evident in his academic and professional endeavors. Outside academia, he has also excelled as an Operations Manager at FOLATON Integrated services, showcasing his versatility and leadership skills. πŸŽ“πŸ”¬

🌐 Professional Profiles :

Scopus

Google Scholar

πŸŽ“ Education:

Dr. Anthony Okoji holds a Ph.D. in Chemical Engineering from Covenant University, Ota, Nigeria (2022). He also obtained an MBA in Management Science from Ladoke Akintola University of Technology (LAUTECH) in 2014, an MSc in Industrial and Production Engineering from the University of Ibadan in 2004, and a B.Tech in Chemical Engineering from LAUTECH in 2000.

πŸ’Ό Professional Experience:

Currently serving as a Lecturer I at Covenant University, Ota, Ogun state, Dr. Okoji has a rich academic background. He previously worked as a Lecturer II (Researcher) at Landmark University, Omu-Aran, Kwara State, where he taught various undergraduate and postgraduate courses in Chemical Engineering. Additionally, he has worked in non-academic roles, including as an Operations Manager at FOLATON Integrated Services, Ogun state, Nigeria.

πŸ… Academic Achievements:

Dr. Okoji has a strong academic track record, with several publications and project supervisions to his credit. He has also held administrative roles such as Postgraduate Coordinator and Departmental Excursion Coordinator.

πŸ‘¨β€πŸ’Ό Administrative Roles:

Throughout his career, Dr. Okoji has actively contributed to academic and professional bodies. He is a member of the Council for the Regulation of Engineering in Nigeria (COREN), the Nigerian Society of Engineers (NSE), and the Nigerian Society of Chemical Engineers (NSChE).

πŸ” Research Interests:

His research interests span Chemical Engineering fields, including Process Design, Thermodynamics, Energy Conversion Processes, and Modeling and Simulation of Chemical Processes.

πŸ“š Publication Impact and Citations :

Scopus Metrics:

  • πŸ“ Publications: 09 documents indexed in Scopus.
  • πŸ“Š Citations: A total of 62 citations for his publications, reflecting the widespread impact and recognition of Dr. Anthony Okoji’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 88 πŸ“–
    • h-index: 6  πŸ“Š
    • i10-index: 5 πŸ”
  • Since 2018:
    • Citations: 88 πŸ“–
    • h-index: 6 πŸ“Š
    • i10-index: 5 πŸ”

πŸ‘¨β€πŸ« A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. πŸŒπŸ”¬

Publications Top Notes :

  1. Energetic assessment of a precalcining rotary kiln in a cement plant using process simulator and neural networks
    • Published in Alexandria Engineering Journal in 2022.
    • 18 citations.
  2. Comparative analysis of adaptive neuro-fuzzy inference system (ANFIS) and RSRM models to predict DBP (trihalomethanes) levels in the water treatment plant
    • Published in Arabian Journal of Chemistry in 2022.
    • 15 citations.
  3. Techno-economic analysis of cellulase production by Trichoderma reesei in submerged fermentation processes using a process simulator
    • Published in South African Journal of Chemical Engineering in 2022.
    • 14 citations.
  4. Thermodynamic analysis of raw mill in cement industry using aspen plus simulator
    • Published in IOP Conference Series: Materials Science and Engineering in 2018.
    • 11 citations.
  5. Evaluating the thermodynamic efficiency of the cement grate clinker cooler process using artificial neural networks and ANFIS
    • Published in Ain Shams Engineering Journal in 2022.
    • 10 citations.