Saber Arabi Nowdeh | Renewable energy | Research Excellence Award

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Mr. Saber Arabi Nowdeh | Renewable energy | Research Excellence Award

Mr. Saber Arabi Nowdeh | Golestan vocational and technical training center, gorgan. | Iran

Mr. Saber Arabi Nowdeh is a highly impactful researcher in the field of renewable energy systems, with a strong focus on hybrid power generation, distributed energy planning, and optimization-based reliability enhancement for modern power grids. His research extensively explores the integration and optimal sizing of photovoltaic, wind, and fuel cell technologies to achieve reliable, cost-efficient, and sustainable standalone energy solutions, particularly in off-grid and future low-carbon infrastructures. He has developed and applied advanced meta-heuristic and hybrid optimization techniques, including ant lion optimization, fuzzy multi-objective decision methods, and hybrid meta-heuristic algorithms, to enhance system efficiency, improve power quality, reduce energy losses, and increase reliability indices such as LOEE and LOLE. His publications in well-recognized journals including Renewable Energy, Journal of Cleaner Production, Applied Soft Computing, and Environmental Technology & Innovation demonstrate both strong academic recognition and the practical relevance of his contributions. With several of his research articles achieving high citation counts, his work is widely acknowledged by the global scientific community and frequently used as a foundational reference in designing resilient renewable energy systems. His studies have also expanded knowledge in strategic allocation of distributed generation resources, addressing load interruption probability, and strengthening the reliability of smart distribution networks. Overall, his ongoing research continues to advance cutting-edge solutions for integrating clean energy sources into future power systems, supporting global sustainability goals and strengthening the scientific basis for innovative energy technologies.

Profile: ORCID | Google Scholar | ResearchGate

Featured Publications

Moghaddam, M. J. H., Kalam, A., Nowdeh, S. A., Ahmadi, A., & Babanezhad, M. (2019). Optimal sizing and energy management of stand-alone hybrid photovoltaic/wind system based on hydrogen storage considering LOEE and LOLE reliability indices using flower … Renewable Energy, 135, 1412–1434.

Jahannoosh, M., Nowdeh, S. A., Naderipour, A., Kamyab, H., & Davoudkhani, I. F. (2021). New hybrid meta-heuristic algorithm for reliable and cost-effective designing of photovoltaic/wind/fuel cell energy system considering load interruption probability. Journal of Cleaner Production, 278, 123406.

Nowdeh, S. A., Davoudkhani, I. F., Moghaddam, M. J. H., Najmi, E. S., & Abdelaziz, A. Y. (2019). Fuzzy multi-objective placement of renewable energy sources in distribution system with objective of loss reduction and reliability improvement using a novel hybrid method. Applied Soft Computing, 77, 761–779.

Hadidian-Moghaddam, M., Arabi-Nowdeh, S., Bigdeli, M., & Azizian, D. (2018). A multi-objective optimal sizing and siting of distributed generation using ant lion optimization technique. Ain Shams Engineering Journal, 9(4), 2101–2109.

Jafar-Nowdeh, A., Babanezhad, M., Arabi-Nowdeh, S., & Naderipour, A. (2020). Meta-heuristic matrix moth–flame algorithm for optimal reconfiguration of distribution networks and placement of solar and wind renewable sources considering reliability. Environmental Technology & Innovation, 20, 101118.

Burhan Abdullah | Renewable Energy | Best Researcher Award

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Dr. Burhan Abdullah | Renewable Energy | Best Researcher Award

Dr. Burhan Abdullah | Sharda University | India

Dr. Burhan Abdullah is a dedicated researcher specializing in Electrical and Renewable Energy Engineering, with expertise in artificial intelligence–driven optimization for photovoltaic (PV) systems, microgrids, and power quality enhancement. His research focuses on intelligent inverter control and maximum power point tracking (MPPT) techniques to maximize solar PV performance and improve grid integration efficiency. Dr. Burhan Abdullah interdisciplinary work bridges AI, machine learning, and sustainable energy systems to address challenges in renewable energy transition and climate change mitigation. He has contributed significantly to data-driven forecasting, hybrid optimization algorithms, and smart grid stability analysis. His publications in high-impact Q1 SCI-indexed journals such as Energies and Frontiers in Energy Research highlight his advancements in hybrid AI algorithms, incremental conductance control, and energy forecasting models. Beyond research, he actively engages in mentoring, scholarly writing, and peer reviewing for reputed journals including Springer Nature and Contemporary Mathematics. 40 citations indexed in Scopus across 6 documents and an h-index of 4, Dr. Burhan Abdullah’s contributions underscore his growing influence in intelligent renewable energy systems and sustainable power technologies.

Profile: Scopus | Google Scholar | ORCID 

Featured Publication

Abdullah, B. U. D. (2025). Comparative analysis using multiple regression models for forecasting PV power generation. Energies, Q1, SCI.

Abdullah, B. U. D. (2025). Hybrid artificial ecosystem optimizer and incremental conductance MPPT controlled PV system. Energies, Q1, SCI.

Abdullah, B. U. D. (2024). IoT-based solar monitor system. IEEE Explorer.

Abdullah, B. U. D. (2023). Application of AI in MPPT for solar power systems: Review. ICAIM 2023.

Abdullah, B. U. D. (2023). Performance and reliability of microgrid with PV units. In Taylor & Francis (Book Chapter).

Muhammad Sohaib Tahir | Renewable Energy | Best Researcher Award

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Mr. Muhammad Sohaib Tahir | Renewable Energy | Best Researcher Award

Muhammad Sohaib Tahir at Shanghai Jiao Tong University Pakistan.

Muhammad Sohaib Tahir is a multidisciplinary researcher and doctoral candidate at the China-UK Low Carbon College, Shanghai Jiao Tong University, jointly with The University of Edinburgh. With a diverse academic background in electronic, electrical, and mechanical engineering, he focuses on power engineering, thermophysics, and renewable energy systems. With over five years of industry experience and several international recognitions, Mr. Tahir actively contributes to research on photovoltaic-thermoelectric integration, electric vehicle modeling, and inverter design. He is a registered engineer with the Pakistan Engineering Council and a member of IEEE, demonstrating a strong commitment to innovation in low-carbon technologies.

Professional Profile.

Scopus

Orcid

Education 

  • Ph.D. in Mechanical Engineering (Power Engineering & Thermophysics)
    China-UK Low Carbon College
    Shanghai Jiao Tong University, China / University of Edinburgh, UK

  • M.Sc. in Electrical Engineering (Electric Power & Automation)
    Shanghai Jiao Tong University, China

  • B.Sc. in Electronic Engineering
    The Islamia University of Bahawalpur, Pakistan

Professional Experience 

Mr. Tahir has rich experience in both industry and academia. He worked as a Technical Support Engineer at ZKTeco Co. Ltd. in Shenzhen, China, where he contributed to hardware/software development, electric control systems, and PLC programming. Prior to that, he served as an Operation Site Engineer at Mobilink Telecom in Pakistan, managing BTS equipment and leading fault-handling operations for Huawei and Alcatel systems. His technical exposure includes simulation tools like MATLAB/Simulink, SolidWorks, and OriginLab, making him proficient in both energy system modeling and embedded control solutions.

Research Interest 

  • Renewable Energy Systems and Hybrid Technologies

  • Thermoelectric Cooling in Photovoltaic Modules

  • Electric Power & Automation Systems

  • Energy Storage and Inverter Design

  • Integration of Technology in Engineering Education

  • Electric Vehicle Ecosystem and Sustainability

Publications Top Noted

  1. Tahir, M.S., Dong, X., Khan, M.M.
    Mathematical and Simulation Modeling of Photovoltaic Systems Utilizing Thermoelectric Modules for Effective Thermal Management
    Results in Engineering, 2025. [DOI: https://doi.org/10.1016/J.RINENG.2025.106344]

  2. Tahir, M.S., Xu, J., Wang, Y.
    Novel CoolMosfet Clamping Three-Level Neutral-Point-Clamping Inverter for Low and Medium Power Applications
    IFEEC 2017 – ECCE Asia, IEEE International Conference, pp. 1949–1953.
    IEEE Accession No: 20174704419540

Conclusion 

Muhammad Sohaib Tahir exemplifies a rising talent in the fields of power engineering, sustainable energy, and automation. With his rich academic background, impactful publications, and cross-cultural research engagements, he represents a new generation of globally minded engineers. His proactive attitude, technical competence, and dedication to clean energy innovation make him a worthy candidate for international recognition. As he continues to contribute to research, technology integration, and global energy solutions, his future as a leader in sustainable engineering is promising.

Sylvester Sadekla | Sustainability | Best Researcher Award

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Mr. Sylvester Sadekla | Sustainability | Best Researcher Award

PhD student, Technical University of Munich, Germany

Sylvester S. Sadekla 🎓 is a dynamic Research Associate at the Technical University of Munich 🇩🇪 with a passion for data-driven insights 📊 and strategic decision-making. He combines expertise in economics, finance, and data science 🤖 to support impactful research and innovation. With a strong background in managing cross-functional teams 👥, Sylvester excels in project management, statistical analysis, and stakeholder engagement. He is fluent in English and proficient in German 🇬🇧🇩🇪, with memberships in cultural and environmental organizations 🎶🌿. Sylvester thrives on using technology and analytics to solve problems, optimize processes, and drive sustainable growth 🌍🚀.

 Profile

🎓 Education :

Sylvester S. Sadekla is currently pursuing a Ph.D. in Economics at the Technical University of Munich (2023–Present) 📚. He holds a Certificate in Business Analysis from Brainnest, Bremen (Feb–Apr 2022) 📈, and a Certificate in Data Science & Machine Learning from the Massachusetts Institute of Technology (Jun–Oct 2021) 🤖. His academic journey began with an M.Phil. in Finance from the University of Ghana (2015–2017) 💰, followed by a B.Sc. in Mathematics & Statistics from the University of Cape Coast (2005–2009) 📐.

💼  Experience :

Sylvester’s professional experience includes his current role as a Research Associate at the Technical University of Munich (2023–Present) 🧪, where he contributes to high-impact research on technology adoption and sustainability. Prior to this, he served as a Research Project Manager at the Centre for Migration Studies in Accra (2020–2023) 🌍, and as a Business Analyst at AkwaabaLab for Experimental Economics (2018–2020) 📊. He began his career as a Regional Project Manager with the Ghana Mathematics Society (2010–2015) ➕, where he promoted math education across schools and regions.

📚 Professional Development :

Sylvester Sadekla continuously enhances his professional skills through diverse learning experiences and collaborative projects 🎯. He holds certifications in Data Science & Machine Learning from MIT 🧠, and Business Analysis from Brainnest 📊. His professional journey includes optimizing project workflows, managing large-scale research projects, and utilizing tools like SQL, Stata, Python, and Power BI 💻. His ability to blend analytical skills with strategic foresight helps him tackle complex challenges, improve research quality, and lead data-driven decision-making 🚀. Sylvester is also actively involved in stakeholder engagement, resource optimization, and agile project management across academic and applied research settings 🔍🤝.

🔬 Research Focus :

Sylvester’s research centers on technology adoption, sustainability, market analysis, and behavioral economics 🌱📈. He investigates how firms adopt innovative solutions and the influence of consumer behavior and policy on these transitions 💼🧠. His work uses advanced data analytics, econometric modeling, and machine learning techniques 🧮🤖 to understand market dynamics, sustainability practices, and strategic business decisions. With a background in finance and economics, he bridges theory and practical application to support impactful and future-ready research 🌍🔬. Sylvester is especially passionate about using research to inform public policy and sustainable innovation within both local and global contexts 🌐📘.

🏆 Awards and Honors :

Sylvester S. Sadekla has been recognized for his exceptional contributions to research and stakeholder engagement. 🏆 In April 2024, he was awarded Best Presenter at the 10th Hans Eisenmann Forum in Weihenstephan for his compelling presentation and analytical insights. 👏 At the Technical University of Munich, he received informal internal recognition for his outstanding stakeholder engagement and insightful data analysis. 🏅 During his tenure at the Centre for Migration Studies, Sylvester was acknowledged for Outstanding Research Management, reflecting his ability to optimize resources and lead impactful projects. 🏫 He also earned Regional Impact Recognition from the Ghana Mathematics Society for significantly increasing student participation and outreach across schools.

Publication Top Notes : 

Sustainable postharvest processing technologies for dried food commodities and firm-level adoption: A critical review

Authors: [Authors not specified in the provided information]
Journal: Current Food Science and Technology Reports
Volume: 2
Pages: 231–239
Year: 2024
DOI: 10.1007/s43555-024-00026-8

🔚 Conclusion :

Sylvester S. Sadekla’s profile illustrates a rare blend of technical acumen, leadership, and societal engagement—hallmarks of a top-tier researcher. His dedication to using data science for strategic, sustainable development, paired with his ability to manage and deliver collaborative research, makes him highly deserving of the Best Researcher Award. His contributions not only advance academic knowledge but also generate tangible benefits for policy, economy, and society.

 

Mr. Mohamed saber | Renewable energy | Best Researcher Award

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Mohamed saber | Renewable energy | Best Researcher Award

Mohamed saber, Zagazig University, Egypt

Mohammed Al-Desouky 🎓 is a Lecturer Assistant and Civil Hydraulic Engineer at Zagazig University, Egypt 🏛️. He holds a B.Sc. in Civil Engineering (2019) and is completing his M.Sc. in Water and Water Structures Engineering (2025) 💧. Passionate about hydraulic structures, CFD, and renewable energy ⚙️🔬, Mohammed co-founded the CIVIC construction company 🏗️. His research explores innovative energy solutions like pico hydropower using water wheels ⚡. A dedicated educator and engineer, he combines academic excellence with practical fieldwork, evident in his role in teaching, lab supervision, and structural design 📘💼.

Professional profile :

Orcid

Suitability for Best Researcher Award :

Mohammed Al-Desouky demonstrates a commendable blend of academic commitment, innovative research, and practical engineering application. His ongoing M.Sc. research in Water and Water Structures Engineering focuses on pioneering energy solutions such as pico hydropower with water wheels, an area that addresses both sustainability and energy accessibility—critical global challenges.

Education & Experience :

🎓 Education :

  • M.Sc. in Water and Water Structures Engineering, Zagazig University (2025) 💧

  • B.Sc. in Civil Engineering, Zagazig University (2019) 🏗️ — Excellent with Honor (88.65%)

💼 Experience :

  • Lecturer Assistant, Zagazig University (2019–Present) 👨‍🏫

  • Civil Hydraulic Engineer, Irrigation and Hydraulics Lab 🌊

  • General Contracting Engineer (2022–Present) 🧱

  • Structural Design Freelancer (2020–2021) 📐

  • CFD Engineer – Freelance 💻💨

  • Co-founder, CIVIC Construction Company 🏢

Professional Development :

Mohammed Al-Desouky has pursued dynamic professional development through hands-on internships and continuous upskilling 🚀. He completed an intensive 3-month internship with AECOM on Qatar’s Orbital Road Project, gaining cross-disciplinary training in utilities, structural works, and road construction 🛣️🏗️. Technically skilled in CFD simulation tools like ANSYS Fluent and FLOW-3D 💻🔍, he also brings expertise in structural software (SAP2000, ETABS, SAFE) for design and analysis 📊. His passion for practical learning is also evident in his leadership role at CIVIC, combining entrepreneurship with engineering innovation 🤝⚙️. Mohammed continuously aligns his growth with real-world engineering challenges and sustainability goals 🌍.

Research Focus :

Mohammed Al-Desouky’s research centers on sustainable hydropower and hydraulic systems 🔬⚡. His current work investigates energy harvesting from low-head water structures using waterwheels, aiming to optimize designs for pico-hydropower applications 🌊🌀. Combining experimental and numerical methods, including CFD simulations (ANSYS Fluent, FLOW-3D) 💻📈, his research contributes to renewable energy solutions and small-scale power generation in developing areas 🌍⚙️. He also explores techno-economic viability, integrating civil hydraulics, fluid mechanics, and structural analysis to develop practical, cost-effective innovations 💡💰. His publication in Renewable Energy reflects a strong commitment to energy-efficient and environmentally friendly infrastructure development 🌿🔋.

Awards and Honors :

  • 🎓 Graduated with Excellent with Honor in B.Sc. Civil Engineering (2019)

  • 🏅 Publication in Renewable Energy Journal (2024)

  • 🏗️ Selected for AECOM Internship, Orbital Road Project – Qatar

  • 🧠 Co-founded CIVIC Construction Company

Publication Top Notes : 

Title: Techno-economic Assessment of the Dethridge Waterwheel under Sluice Gates in a Novel Design for Pico Hydropower Generation

Journal: Renewable Energy
Publication Date: August 2024
DOI: 10.1016/j.renene.2024.121206
ISSN: 0960-1481

Citation (APA Style):
Saber, M., Abdelall, G., Ezzeldin, R., AbdelGawad, A. F., & Ragab, R. (2024). Techno-economic assessment of the Dethridge waterwheel under sluice gates in a novel design for pico hydropower generation. Renewable Energy, 213, 121206. https://doi.org/10.1016/j.renene.2024.121206

Conclusion :

Mohammed Al-Desouky exemplifies the spirit of the Best Researcher Award through his innovative, applied research and multi-dimensional contributions to civil engineering, education, and sustainable energy. His early achievements and commitment to practical impact position him as a promising researcher with significant potential to influence the future of water infrastructure and renewable energy systems.

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:

Orcid

Scopus

Google Scholar

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.

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.

🎓 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