Samee Ullah Khan | Energy Informatics | Best Researcher Award

Dr. Samee Ullah Khan | Energy Informatics | Best Researcher Award

Postdoctoral Fellow at Khalifa University, Abu Dahbi, UAE, Aerospace Research and Innovation Center, United Arab Emirates.

Dr. Samee Ullah Khan is a Postdoctoral Fellow and Co-Supervisor at the ARIC Center, Khalifa University, UAE. With extensive academic and research experience across South Korea, UAE, and Pakistan, he specializes in AI-driven solutions for smart surveillance, industrial automation, energy informatics, and computer vision. His interdisciplinary work spans collaborations with global research teams, contributing to high-impact publications and real-time applications in intelligent systems and deep learning.

Professional Profile 

Scopus Profile

Orcid Profile

Google Scholar Profile

Education 🎓📚

  • Ph.D. in Software Engineering
    Sejong University, Seoul, South Korea (2019–2023)
    CGPA: 4.44/4.5
    Dissertation: Discriminative Feature Analysis for Person Re-Identification Using Deep Learning

  • Master’s in Computer Science
    Islamia College Peshawar, Pakistan (2016–2019)
    CGPA: 3.33/4.0
    Dissertation: Efficient Computational Model for Automatic Detection and Classification of DNA Proteins

Professional Experience 🧑‍🏫💼

  • Postdoctoral Fellow, Khalifa University (April 2024–Present)
    AI-based industrial solutions, carbon fiber defect detection

  • Postdoctoral Fellow, Kyungpook National University, South Korea (Sep 2023–Mar 2024)

  • Co-Supervisor, PhD Candidates – Khalifa University (Jan 2025–Present)

  • Lab Coordinator, Intelligent Media Lab, Sejong University (2022–2023)

  • Research Assistant, Sejong University (2019–2022)

  • Research Assistant, Islamia College Peshawar (2016–2019)

Research Interest 🔬📈

  • Deep Learning for Surveillance & Re-Identification

  • AI for Smart Manufacturing and Carbon Fiber Defect Detection

  • Energy Consumption Forecasting and XAI

  • Active Learning, Data Augmentation

  • Computer Vision for Smart Cities

Awards & Recognition

  • Best Researcher Award – Sejong University (2023)

  • Best Paper Award – Korea Next Generation Computing Conference (2023)

  • Best Poster Award – 6th Int’l Conf. on Next Generation Computing (2023)

  • Fully Funded PhD Scholarships (2016, 2019)

Author Metrics

  • Total Citations (Top Publications): 285+

  • Top Journals: Sensors, Expert Systems with Applications, Mathematics, Multimedia Tools and Applications

  • Roles: Lead author on deep learning, smart energy, and Re-ID systems

Publications Top Note 📝

  1. “Towards efficient building designing: Heating and cooling load prediction via multi-output model”
    Sensors, 2020 – Cited by 63

  2. “Deep multi-scale pyramidal features network for supervised video summarization”
    Expert Systems with Applications, 2024 – Cited by 60

  3. “Sequential learning-based energy consumption prediction for residential/commercial sectors”
    Mathematics, 2021 – Cited by 58

  4. “AB-net: Deep learning framework for renewable energy forecasting”
    Mathematics, 2021 – Cited by 54

  5. “Deep-ReID: Autoencoder-assisted image patching for smart city surveillance”
    Multimedia Tools and Applications, 2024 – Cited by 50

Conclusion 🌟🎯

Dr. Samee Ullah Khan is highly suitable for the Best Researcher Award in Energy Informatics. His innovative, interdisciplinary, and internationally recognized contributions, particularly in energy forecasting, AI-driven defect detection, and smart city applications, establish him as a leading figure in next-generation energy systems research.

Dr. Mehmet Sait Çay | Renewable Energy | Best Researcher Award

Dr. Mehmet Sait Çay | Renewable Energy | Best Researcher Award

Dr. Mehmet Sait Çay, TUBITAK Marmara Research Center, Turkey

Dr. Mehmet Sait Çay is a distinguished researcher specializing in renewable energy, thermal power systems, and hydroelectric power plant (HEPP) technologies. He holds a Ph.D. in Mechanical Engineering from Kocaeli University and has extensive experience at TÜBİTAK Marmara Research Center, focusing on energy technologies and sustainable power solutions. His expertise includes heat exchanger design, flue gas desulfurization, cooling systems, and lubrication techniques for HEPPs. Dr. Çay has contributed significantly to research and development, working on technical and economic feasibility studies for energy projects. He has also gained international experience through research stays in Romania and South Korea, collaborating on innovative energy technologies. His impactful contributions make him a key figure in advancing energy efficiency and sustainability.

🌍 Professional Profile:

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🏆 Suitability for the Best Researcher Award 

Dr. Mehmet Sait Çay is an exceptional candidate for the Best Researcher Award due to his outstanding contributions to renewable energy, thermal power systems, and hydroelectric technologies. His pioneering research in heat exchanger design, cooling systems, and flue gas desulfurization has significantly impacted the energy sector. With extensive international experience and collaborations in Korea and Romania, he has advanced cutting-edge solutions for sustainable energy. His work at TÜBİTAK Marmara Research Center has driven innovations in power plant optimization and environmental sustainability. Dr. Çay’s dedication to engineering advancements, feasibility studies, and technical designs has earned him recognition as a leading researcher, making him highly deserving of this prestigious award.

🎓 Education 

Dr. Mehmet Sait Çay has a strong academic foundation in mechanical engineering, specializing in energy systems and power plant technologies. He earned his Ph.D. from Kocaeli University (2013–2020), focusing on mechanical engineering innovations. His Master’s degree from Hitit University (2012–2013) further deepened his expertise in renewable energy and thermal systems. He also holds a Bachelor of Science from Hitit University (2007–2011) and pursued a dual-degree program at the University of Craiova, Romania (2010–2011) under the ERASMUS Student Exchange Program. His diverse academic background, combined with practical industry applications, has enabled him to develop advanced engineering solutions for power systems, cooling technologies, and renewable energy applications.

🏢 Work Experience 

Dr. Mehmet Sait Çay has been a key researcher at TÜBİTAK Marmara Research Center’s Energy Technologies Division since 2012, focusing on renewable energy, thermal power plants, and hydroelectric systems. His expertise includes heat exchanger design, cooling system optimization, and flue gas desulfurization. He has also led technical and economic feasibility analyses for energy projects. His international experience includes a research internship at Korea Institute of Energy Research (2015), where he worked on concept and detail design for the MILTES Project, and an Erasmus research semester in Romania (2011). His practical contributions to energy technology innovation and power system sustainability have been instrumental in shaping advancements in the field.

🏅 Awards and Honors 

Dr. Mehmet Sait Çay has received multiple recognitions for his pioneering research in energy engineering. His work on thermal power plants and renewable energy optimization has been acknowledged through prestigious grants and awards. He was awarded a scholarship for international research under the ERASMUS Student Exchange Program (2011), allowing him to study at the University of Craiova, Romania. Additionally, he was selected for a competitive research project at the Korea Institute of Energy Research (2015), where he contributed to cutting-edge energy system designs. His contributions to heat exchanger efficiency, cooling system innovations, and power plant feasibility studies have established him as a leading researcher in sustainable energy solutions.

🔬 Research Focus 

Dr. Mehmet Sait Çay’s research spans renewable energy, thermal power plant efficiency, and hydroelectric power systems. His work primarily focuses on heat exchanger design and optimization for improved thermal power plant performance. He has made significant advancements in flue gas desulfurization systems, reducing environmental impact from fossil fuel-based power generation. His expertise extends to technical and economic feasibility studies, ensuring cost-effective and sustainable energy solutions. He has also developed cooling water, air conditioning, and drainage systems for hydroelectric power plants (HEPPs). Additionally, his research includes bearing lubrication and cooling system designs for HEPPs, enhancing their efficiency and reliability. His contributions play a critical role in advancing green energy technologies and sustainable power solutions.

📊 Publication Top Notes:

  • Mechanical Dewatering Characteristics of a Turkish Lignite

    • Citations: 4

    • Year: 2022

  • Kömür Yakıtlı Termik Santrallarda Baca Gazı Kanalına Kuru Sorbent Enjeksiyonu ile Kükürt Giderme Sisteminin İncelenmesi

    • Citations: 4
    • Year: 2013

  • Ilgın Linyitindeki Suyun Mekanik Yöntemle Azaltılma Davranışının ve Ekonomikliğinin Belirlenmesi

    • Year: 2020
  • Experimental Investigation on Effect of Pressure, Time, and Particle Size on the Mechanical Dewatering Characteristics of Ilgın Lignite

    • Year: 2019

 

 

Aimon Mirza Baig | Power Grid Stability | Best Researcher Award

Aimon Mirza Baig | Power Grid Stability | Best Researcher Award

Mrs. Aimon Mirza Baig, Imperial College London, United Kingdom.

Aimon Mirza Baig is a PhD candidate at Imperial College London, specializing in Electrical and Electronics Engineering. His research focuses on real-time modeling of flexible assets for power grid stability in renewable energy-dominated systems. Aimon has contributed to innovative solutions for enhancing power grid security, co-optimizing ancillary services, and integrating zero-carbon sources like flexible nuclear power plants. He has presented his work at multiple international conferences and published in top journals. Aimon is passionate about teaching and mentoring future engineers, having held teaching roles at Imperial College London and in Saudi Arabia. 🌍⚡🔬

Publication Profile 

Scopus
Orcid

Education And Experiance

  • PhD in Electrical and Electronics Engineering, Imperial College London (2019-present)
    • Research: Real-time modeling for power grid stability with renewable energy sources ⚡
  • MSc in Advanced Electrical Engineering, Queen Mary University (2018-2019)
    • Dissertation: Optimizing lithium-ion battery state of charge 📊🔋
  • BEng in Electrical Engineering, University of Greenwich (2015-2018)
    • First-class honors 🎓
  • Graduate Teaching Assistant at Imperial College London (2020-present)
    • Taught optimization models and supervised PhD students 🧑‍🏫
  • Teaching Experience at Universal Enrichment Program, Riyadh, Saudi Arabia (2024)
    • Delivered STEM lectures and workshops for high school students 🌍🎓

Suitability For the Award

Mrs. Aimon Mirza Baig is an exceptional researcher specializing in power grid stability and renewable energy integration. His groundbreaking work, including the development of stochastic unit commitment models and co-optimization of ancillary services from zero-carbon sources, has significantly advanced the field. With a PhD from Imperial College London and multiple high-impact publications, Baig’s innovative contributions to energy systems, particularly in the context of flexible nuclear power and renewable integration, make him a highly deserving candidate for the Best Researcher Award. His expertise and research have the potential to shape the future of sustainable energy systems.

Professional Development

Aimon has continuously developed his skills in both research and teaching. At Imperial College London, he developed expertise in computational optimization models, using Python and C++ for real-time data simulations and system modeling. He also gained valuable teaching experience by assisting students in courses like “Control Systems Lab” and “Mathematics.” His ability to convey complex concepts to undergraduate students has honed his communication and mentoring skills. Aimon’s experience with international conferences and research publications further enriched his professional growth, allowing him to stay at the forefront of advancements in electrical engineering and renewable energy integration. 📚🌐💡

Research Focus

Aimon’s research is focused on power grid stability and renewable energy integration. He specializes in stochastic unit commitment models, optimizing ancillary services like inertia and frequency response from zero-carbon sources, including flexible nuclear power plants. His work aims to enhance system stability in grids with high penetration of renewable energy sources (RES). Aimon’s contributions to bi-level optimization and market design for virtual power plants help address the challenges of balancing energy production with grid security. His innovative models support the decarbonization goals of the UK and other nations. 🌱⚡🔧

Awards And Honors

  • PhD Scholarship at Imperial College London, funded by the IDLES Project (EDF Energy) 🎓💰
  • Awarded Distinction for MSc in Advanced Electrical Engineering, Queen Mary University 🏅
  • First-Class Honors for BEng in Electrical Engineering, University of Greenwich 🎖️
  • Conference Presentations at 6 international conferences in the UK and Europe 🎤🌍
  • Publications in High-Impact Journals: IEEE, Applied Energy, and International Journal of Electrical Power and Energy Systems 📑

Publication Top Notes 

  • Importance of Linking Inertia and Frequency Response Procurement: The Great Britain Case (2021) – Cited by 3 📚🔋
  • Market Design for Ancillary Service Provisions of Inertia and Frequency Response via Virtual Power Plants: A Non-Convex Bi-Level Optimisation Approach (2024) – Cited by 4 ⚡🔌
  • Co-optimising Frequency-Containment Services from Zero-Carbon Sources in Electricity Grids Dominated by Renewable Energy Sources (2025)  🌱🔋

Teshome Lindi Kumissa | power systems | Best Researcher Award

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 🎓

  • 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., EnergiesElectricity).
  • 🌱 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

 

Dr. Elnaz Yaghoubi | Power System | Best Researcher Award

Dr. Elnaz Yaghoubi | Power System | Best Researcher Award

Dr. Elnaz Yaghoubi, Karabuk University, Turkey

Dr. Elnaz Yaghoubi is an expert in energy management and smart microgrids, currently pursuing her Ph.D. in Electronic and Electrical Engineering at Karabuk University, Turkey. With a Master’s degree in Electrical Engineering from Islamic Azad University, Iran, she focuses on optimizing power consumption and improving energy efficiency in large-scale networks. Her research interests include power system analysis, renewable energy, AI-driven control systems, and smart grid technology. As a Principal Researcher at Power Electrical Developing Advanced Research (PEDAR), Dr. Yaghoubi brings expertise in distributed generation, AI-based energy solutions, and telecommunications.

Professional Profile

Google Scholar

Suitability for the Best Researcher Award:

Dr. Yaghoubi’s work on the energy management of smart microgrids, along with her interdisciplinary expertise in AI, power systems, and renewable energy, aligns well with the criteria for the Best Researcher Award. Her research not only advances theoretical knowledge but also has practical implications for the future of energy sustainability and grid reliability. Her innovative approach to combining AI techniques with traditional power management solutions positions her as a leader in the energy systems field.

Education & Expertise:

Dr. Elnaz Yaghoubi is currently pursuing her Ph.D. in Electronic and Electrical Engineering at Karabuk University, Turkey, specializing in energy management of smart microgrids. She also holds a Master’s degree in Electrical Engineering from the Islamic Azad University, Iran, where she focused on optimizing power consumption in large-scale networks.

Research Interests:

Her research is centered around power system analysis, microgrids, renewable energy, and AI-based control systems like machine learning and predictive control. She is passionate about improving energy efficiency and power stability in smart grids.

Work Experience:

Dr. Yaghoubi serves as a Principal Researcher at Power Electrical Developing Advanced Research (PEDAR) and has prior experience in telecommunications, specializing in traffic monitoring and data network design.

Her expertise spans power management, distributed generation, AI-driven energy solutions, and smart grid technology.

Publication Top Notes:

  • “State-of-the-art review on energy and load forecasting in microgrids using artificial neural networks, machine learning, and deep learning techniques”
    • Citations: 88
    • Published: 2023
  • “The role of mechanical energy storage systems based on artificial intelligence techniques in future sustainable energy systems”
    • Citations: 16
    • Published: 2023
  • “Triple-channel glasses-shape nanoplasmonic demultiplexer based on multi nanodisk resonators in MIM waveguide”
    • Citations: 12
    • Published: 2021
  • “Reducing the vulnerability in microgrid power systems”
    • Citations: 11
    • Published: 2023
  • “Electric vehicles in China, Europe, and the United States: Current trend and market comparison”
    • Citations: 10
    • Published: 2024

 

 

 

Dr. Milada Pezo | Materials | Best Researcher Award

Dr. Milada Pezo | Materials | Best Researcher Award

Dr. Milada Pezo, Institute of Nuclear Sciences VINČA, Serbia

Dr. Milada Pezo is a distinguished Research Professor at the Institute of Nuclear Sciences VINČA, specializing in mechanical engineering with a focus on energy systems. She earned her BSc, MSc, and PhD from the University of Belgrade, Faculty of Mechanical Engineering. Dr. Pezo’s research covers thermal-hydraulics, energy efficiency, renewable energy sources, and computational fluid dynamics (CFD). A principal investigator for the Serbian-Slovenian bilateral project (2020-2022), she is renowned for advancing numerical modeling of multiphase flows and heat transfer. With over 100 peer-reviewed publications, Dr. Pezo is a leading expert in her field and serves as a subject editor for the prestigious Thermal Science journal. Her work plays a vital role in enhancing industrial applications, process industry optimization, and promoting sustainable energy solutions.

Professional Profile

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Suitability for the Best Researcher Award

Dr. Milada Pezo is a highly qualified candidate for the Best Researcher Award due to her extensive academic achievements, leadership in international research projects, and significant contributions to the fields of thermal-hydraulics, computational multifluid dynamics, and energy efficiency.

🎓    Education 

Dr. Milada Pezo’s academic journey in Mechanical Engineering began at the University of Belgrade, Faculty of Mechanical Engineering. She completed her BSc, MSc, and PhD degrees with a specialized focus on Automatic Control and Thermal Power Engineering. Her education is deeply rooted in interdisciplinary studies, blending mechanical engineering principles with advanced energy systems. Throughout her academic pursuits, she developed expertise in thermal-hydraulics, computational multifluid dynamics, and energy efficiency. Her PhD thesis explored mathematical modeling of heat and mass transfer, contributing to the development of innovative engineering solutions in multiphase flow and renewable energy integration. Dr. Pezo’s academic foundation has been instrumental in driving her career forward, positioning her as an expert in both theoretical and practical applications of mechanical engineering, with a focus on sustainability and renewable energy systems.

💼     Experience

Dr. Milada Pezo boasts extensive experience in mechanical engineering, specifically within the energy sector. She has been a Research Professor at the Institute of Nuclear Sciences VINČA, where she has led pivotal research initiatives in thermal-hydraulics and computational fluid dynamics (CFD). As principal investigator of the Serbian-Slovenian project “Development of Advanced Numerical Modelling Approaches of Multiphase Flows and Heat Transfer for Industrial Application” (2020-2022), she successfully bridged academia and industry, enhancing practical solutions for energy efficiency. Her experience extends beyond academia; she collaborates with industrial partners to optimize energy systems and renewable energy sources. Dr. Pezo is also a subject editor for Thermal Science and regularly contributes her expertise to peer-reviewed publications. Her vast knowledge in thermal-hydraulics, renewable energy integration, and industrial processes solidifies her role as a key influencer in the mechanical engineering field.

🏅 Awards and Honors 

Dr. Milada Pezo has been recognized with numerous awards and honors for her contributions to mechanical engineering, particularly in energy systems. As the principal investigator of the prestigious Serbian-Slovenian bilateral research project (2020-2022), she earned commendations for her innovative work on multiphase flow and heat transfer. Her involvement in the project led to industry-wide recognition, enhancing energy efficiency practices. Dr. Pezo has also been honored by various scientific communities for her editorial work at Thermal Science, where she oversees publications on computational fluid dynamics and heat and mass transfer. With over 100 peer-reviewed articles, Dr. Pezo’s contributions have received multiple citations and accolades from international conferences and journals. Her work in renewable energy, energy efficiency, and thermal-hydraulics has been instrumental in fostering sustainable engineering solutions, leading to numerous invitations to keynote at international forums and participate in expert panels.

🌍   Research Focus 

Dr. Milada Pezo’s research centers on thermal-hydraulics, energy efficiency, and renewable energy systems, utilizing advanced numerical modeling techniques. She specializes in computational fluid dynamics (CFD), with an emphasis on multiphase flow and heat transfer for industrial applications. Her groundbreaking work in granular transportation, mixing, and separation processes within the chemical and energy sectors has significantly impacted energy-efficient designs. A key area of her research is the development of sustainable solutions for renewable energy integration, optimizing heat and mass transfer in multiphase flow systems. Through her role as principal investigator in international collaborative projects, Dr. Pezo has driven innovations in energy-efficient technologies, including solar and wind power systems. Her research efforts also focus on mathematical modeling and simulation, aiming to enhance industrial applications and promote sustainability in energy production and consumption.

 📖 Publication Top Notes

  • Modified screw conveyor-mixers–Discrete element modeling approach
    • Citations: 85
  • DEM/CFD analysis of granular flow in static mixers
    • Citations: 65
  • Dynamical simulation of PV/Wind hybrid energy conversion system
    • Citations: 62
  • Discrete element model of particle transport and premixing action in modified screw conveyors
    • Citations: 50
  • Sustainability estimation of energy system options that use gas and renewable resources for domestic hot water production
    • Citations: 43

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

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

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

Dr. Sheng Hu | New Energy Network | Best Researcher Award

Dr. Sheng Hu | New Energy Network | Best Researcher Award

Dr. Sheng Hu, Wuhan University of Technology, China

Dr. Sheng Hu holds an M.S. and a Ph.D. in Electrical Engineering from Huazhong University of Science and Technology. With a robust academic background and postdoctoral research experience, he has developed a strong foundation in his field. His professional journey includes a postdoctoral fellowship at Huazhong University and a visiting scholar position at Tandon School of Engineering, NYU. Currently a lecturer at Wuhan University of Technology, Dr. Hu specializes in renewable energy generation systems, control of electric machines, and power electronic converters. His innovative research addresses critical challenges in these areas, contributing significantly to advances in modeling, control, and optimization. Dr. Hu’s impactful work is reflected in his publications and his international collaboration experience, which has enriched his research with diverse methodologies and perspectives.

Professional Profile:

Scopus

Suitability for the Award

  1. Innovative Research:
    • Dr. Hu’s research includes innovative solutions for controlling renewable energy systems and improving the stability and efficiency of power electronic converters. His work on wind turbines and hybrid generation systems demonstrates his expertise in addressing contemporary challenges in energy technology.
  2. Research Impact:
    • The citation counts for his key publications indicate that his work is highly regarded by the research community. His contributions have influenced ongoing research and development in renewable energy and power electronics.
  3. Leadership and Collaboration:
    • His experience as a postdoctoral researcher and visiting scholar, along with his current role as a lecturer, showcases his leadership in research and education. His collaborative efforts with international institutions further demonstrate his commitment to advancing knowledge and technology.
  4. Educational Contributions:
    • Dr. Hu’s role as a lecturer and his involvement in research contribute to the education and development of future engineers and researchers in the field of electrical engineering.

Summary of Qualifications

  1. Educational Background:

    • M.S. in Electrical Engineering (Huazhong University of Science and Technology, 2007).
    • Ph.D. in Electrical Engineering (Huazhong University of Science and Technology, 2012).
    • His advanced education in electrical engineering, combined with postdoctoral research, provides a solid foundation for his expertise.
  2. Professional Experience:

    • Postdoctoral Research Fellow (Huazhong University of Science and Technology, 2012-2015).
    • Visiting Scholar (Tandon School of Engineering, New York University, 2018-2019).
    • Lecturer, School of Automation (Wuhan University of Technology, currently).
    • His experience includes significant research roles and international collaboration, contributing to his broad expertise in the field.
  3. Research Focus and Contributions:

    • Dr. Hu’s main research interests are in renewable energy generation systems, control of electric machines, and power electronic converters.
    • His work addresses critical challenges in renewable energy and power systems, demonstrating innovative approaches in modeling, control, and optimization.
  4. Research Impact:

    • Dr. Hu’s research has contributed significantly to the fields of renewable energy and power electronics, addressing complex issues such as voltage stability and hybrid system optimization.
    • His publications in reputable journals and conferences reflect the relevance and impact of his work in advancing technology and addressing practical challenges in energy systems.
  5. International Collaboration:

    • His role as a visiting scholar at NYU highlights his ability to collaborate on international research projects, enriching his work with diverse perspectives and advanced methodologies.

Publication Top Notes:

“Modeling and Coordinated Control Design for Brushless Doubly-Fed Induction Generator-Based Wind Turbine to Withstand Grid Voltage Unbalance” (2021), published in IEEE Access. This article, which has received 10 citations, focuses on advanced control techniques for wind turbines.

“Research on Capacity Optimization of PV-Wind-Diesel-Battery Hybrid Generation System” (2018), presented at the International Power Electronics Conference. This paper, with 7 citations, discusses optimization strategies for hybrid renewable energy systems.

“Design and Analysis of DC-Link Voltage Stabilizer for Voltage Source Converter as Connected to Weak Grid” (2018), published in Diangong Jishu Xuebao/Transactions of China Electrotechnical Society. This article, with 19 citations, explores voltage stabilization in power converters.

Conclusion

Dr. Sheng Hu is a highly suitable candidate for the Best Researcher Award due to his significant contributions to renewable energy systems and power electronics. His innovative research, impactful publications, and international collaboration underscore his excellence and leadership in the field. Dr. Hu’s work addresses critical challenges in energy technology, making him an outstanding candidate for this prestigious award.

 

 

 

Assist Prof Dr. Vijender Reddy Simarla | Distributed Generation Award | Best Researcher Award

Assist Prof Dr. Vijender Reddy Simarla | Distributed Generation Award | Best Researcher Award

Assist Prof Dr. Vijender Reddy Simarla, Osmania University, India

S. Vijender Reddy is a seasoned professional with a diverse educational background, holding a Ph.D. in Electrical Engineering from Osmania University, Hyderabad, and an M.Tech in Electrical Power Engineering from JNTU Hyderabad. With a career spanning 15 years at Osmania University, he has cultivated expertise in teaching. His research achievements include publications in prestigious journals such as one SCI journal (Elsevier), two Springer journals, two Scopus international journals, and presentations at five IEEE international conferences. Proficient in optimization techniques and MATLAB, he also possesses programming skills in C. Known for his adaptability, effective communication, and analytical prowess, Reddy is poised to excel in dynamic environments, whether independently or collaboratively. 🎓🔬

🌐 Professional Profile:

Scopus

Google Scholar

🎓 Education:

  • PhD in Electrical Engineering from Osmania University, Hyderabad
  • M.Tech in Electrical Power Engineering from JNTU Hyderabad

🏆 Achievements:

  • Published in one SCI journal (Elsevier), two Springer journals, two Scopus international journals, and presented at five IEEE international conferences

👨‍🏫 Teaching Experience:

  • 15 years of teaching experience at Osmania University

💻 Software Proficiency:

  • Optimization Techniques
  • MATLAB
  • Programming Languages: C

💼 Assets:

  • Effective team player with the ability to work independently
  • Strong communication and analytical skills
  • Adaptability to changing circumstances

Publications Top Notes :

  1. Optimal allocation and sizing of multiple distributed generation in distribution network by ant colony search algorithm
    • Published in Network in 2014.
    • Cited by 7 articles.
  2. Optimal allocation and sizing of distributed generation in distribution network using ant colony search algorithm
    • Published in Proceedings of the International Conference on Advanced Communications, Networks, and Computing (CNC) in 2014.
    • Cited by 5 articles.
  3. Calculation of Voltages and Power Losses with Multiple DG Units with Change of Load
    • Published in Advances in Decision Sciences, Image Processing, Security, and Computer… in 2020.
    • Cited by 2 articles.
  4. The Optimal Size of Multiple DG Units in Distribution Network with Change of Load
    • Published in the 2019 Global Conference for Advancement in Technology (GCAT) in 2019.
    • Cited by 2 articles.
  5. Reliable and efficient operation of distribution network by connecting solar distributed generation
    • Published in the International Journal of Applied in 2023.
    • Cited by 1 article.