Xiaodong Feng | Robotics | Best Researcher Award

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Prof. Xiaodong Feng | Robotics | Best Researcher Award

Prof. Xiaodong Feng at Shaoxing University, China

Feng Xiaodong, born in June 1987, is an Associate Professor at the School of Civil Engineering, Shaoxing University of Arts and Sciences. Recognized as one of the first leading talents in Zhejiang Province’s 5246 Talent Project and a young talent under Shaoxing’s Special Branch Plan, he specializes in structural engineering. With an international academic footprint and a strong background in intelligent structural systems, Dr. Feng has led numerous national-level projects and published extensively in high-impact journals. His work integrates innovative structural design with smart technologies, contributing significantly to the advancement of flexible and adaptive engineering solutions. 🌉📚🤖

Publication Profile

Scopus

Academic Background

Feng Xiaodong completed his undergraduate studies in Civil Engineering at Central South University (2006–2010), followed by a master’s in Solid Mechanics (2010–2012) and a Ph.D. in Structural Engineering (2012–2016), under Professor Guo Shaohua. He then pursued postdoctoral research at Zhejiang University (2018–2020) with Professor Luo Yaozhi. His academic training spans mechanics, structural analysis, and intelligent systems, providing a robust foundation for his interdisciplinary research. 📘🎓🔬

Professional Experience

Dr. Feng began his academic career at Shaoxing University of Arts and Sciences in 2016 as a Lecturer, advancing to Associate Professor and Laboratory Director in 2021. He also served as a visiting scholar at Kyoto University, Japan (2022–2023). Throughout his career, he has led key research initiatives, mentored students, and collaborated with both academic and industrial partners on advanced structural systems. His experience bridges practical engineering applications and cutting-edge research. 🏢👨‍🏫🌍

Awards and Honors

Feng Xiaodong has received multiple prestigious awards, including two First Prizes and two Second Prizes from the China Steel Structure Association for technological innovation and scientific progress in large-span structures. He also received honors from the Invention and Entrepreneurship Award and Zhejiang Province. These accolades recognize his contributions to the development, design, and digital construction of complex spatial structures, as well as intelligent construction technologies. His pioneering work in structural mechanics and smart infrastructure has earned both national and regional acclaim. 🏆🏗️

Research Focus

Dr. Feng’s research revolves around flexible, movable, and intelligent structures, integrating AI and machine learning for structural design and health monitoring. His key interests include tensegrity structures, prefabricated systems, large-span spatial structures, and structural dynamics. He also focuses on collaborative structural-material design and building industrialization. His interdisciplinary approach combines theoretical innovation with practical applications, aimed at advancing the construction industry’s automation and intelligence. 🤖🧠🏗️📊

Publication Top Notes

📄 Vibration control and robustness analysis of tensegrity structures via fuzzy dynamic sliding mode control method
🗓️ Year: 2024 | 📚 Journal: Structures | 📊 Cited by: 3

📄 Joint learning of structural and textual information on propagation network by graph attention networks for rumor detection
🗓️ Year: 2024 | 📚 Journal: Applied Intelligence | 📊 Cited by: 1

📄 Structural-topic aware deep neural networks for information cascade prediction
🗓️ Year: 2024 | 📚 Journal: PeerJ Computer Science | 📊 Cited by: 1

Conclusion

Dr. Feng Xiaodong, an Associate Professor at Shaoxing University of Arts and Sciences, is a nationally recognized expert in Structural Engineering, specializing in intelligent structures, AI-integrated design, and prefabricated construction technologies. With over 20 peer-reviewed publications in leading journals such as Soft Robotics, Structures, and Structural Control & Health Monitoring, he demonstrates consistent research excellence. As the principal investigator of numerous national and regional research projects, and a recipient of multiple high-level awards from the China Steel Structure Association and Zhejiang Province, Dr. Feng has shown both academic leadership and practical innovation. His international exposure as a Visiting Scholar at Kyoto University and his role in training future engineers across disciplines further underscore his qualifications. Dr. Feng’s contributions significantly advance the field of intelligent structural systems and make him an outstanding candidate for a Best Researcher Award.

 

 

Wenwei Luo | Automation | Best Researcher Award

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Mr. Wenwei Luo | Automation | Best Researcher Award

Mr. Wenwei Luo at Institute of Logistics Science and Engineering, Shanghai Maritime University, China

Wenwei Luo is a passionate robotics researcher pursuing his Master’s degree at Shanghai Maritime University, specializing in control science and engineering. With a strong foundation in robotics engineering from Zhejiang Normal University, he has demonstrated academic excellence, technical proficiency, and innovative thinking in reinforcement learning and evolutionary robotics. Wenwei has published impactful research, led interdisciplinary projects, and earned recognition in national competitions. He possesses a unique combination of embedded systems expertise and AI-based control strategies, positioning him as a rising talent in intelligent robotics. His vision is to bridge adaptive learning and real-world robotics for autonomous systems. 🤖📚🔍

Publication Profile

Orcid

Academic Background

Wenwei Luo is currently pursuing a Master’s degree in Control Science and Engineering at Shanghai Maritime University under Associate Professor Bo Li, with a GPA of 3.84/4.0 and double First Academic Scholarships. His research interests span reinforcement learning, adaptive control, and evolutionary robotics. Previously, he earned his Bachelor’s degree in Robotics Engineering from Zhejiang Normal University under Associate Professor Hu Lan, graduating with a GPA of 3.40/4.0 and receiving a Third Academic Scholarship. Wenwei’s academic background blends strong theoretical knowledge with hands-on experience in intelligent systems and control engineering. 🧠🎓📈

Professional Experience

Wenwei has led and contributed to various high-impact robotics projects. As Principal Investigator, he developed a novel inner-outer loop framework for modular robots using reinforcement learning and evolutionary optimization. As Co-Investigator, he worked on intelligent drone navigation and pursuit-evasion for port defense. He also led a RoboMaster project, designing embedded software for a wheeled robot with Mecanum wheels and a shooting mechanism. His work integrates control algorithms, real-time systems, and AI-based decision-making, validated through both simulations and real-world experiments. His diverse project roles highlight both leadership and deep technical acumen. 🤖🧪🧑‍🔬

Awards and Honors

Wenwei has received several prestigious awards and honors throughout his academic career. At Shanghai Maritime University, he won the Third Prize in the 2022 “Huawei Cup” China Post-Graduate Mathematical Contest in Modeling. During his undergraduate years, he received the National Third Prize in the 2021 National College Students Robotics Competition (RoboMaster Event). He has also been awarded the First Academic Scholarship twice during his master’s program and the Third Academic Scholarship during his bachelor’s. These recognitions reflect his commitment to excellence and contributions to engineering and robotics research. 🥇🎖️📜

Research Focus

Wenwei’s research centers on intelligent control and adaptive robotics, specifically focusing on reinforcement learning-based control, evolutionary robotics, and adaptive dynamic programming. He has pioneered a hierarchical framework integrating genetic algorithms and deep RL (PPO) for optimizing morphology and control of modular robots. His work extends to autonomous UAV path planning and pursuit-evasion strategies using fuzzy logic, neural networks, and Lyapunov-based verification. His research leverages advanced tools such as JAX and GPU parallelism for real-time learning and optimization. Wenwei aims to develop scalable, autonomous systems capable of intelligent behavior in complex environments. 🧠📡🚀

Publication Top Notes

📄  Inner–Outer Loop Intelligent Morphology Optimization and Pursuit–Evasion Control for Space Modular Robot

 📅Year: 2025 | 📚 Journal: Actuators, Volume 14

Conclusion

Wenwei Luo is a highly promising early-career researcher whose academic excellence, innovative research, and practical contributions make him a strong contender for a Best Researcher Award. With a Master’s GPA of 3.84/4.0 and a strong undergraduate foundation, he has demonstrated consistent academic achievement. His research focuses on cutting-edge areas such as modular robotics, reinforcement learning, and evolutionary optimization, exemplified by his novel inner–outer loop architecture combining genetic algorithms and PPO for pursuit–evasion tasks. He has authored peer-reviewed publications, including a journal article in Actuators, and holds a patent alongside software copyrights, reflecting both theoretical and applied innovation. His technical skill set spans AI frameworks, embedded systems, and robotics platforms, and his leadership roles in multiple projects showcase his capability for independent and collaborative research. Combined with national competition awards and scholarships, Luo’s profile embodies the qualities celebrated by the Best Researcher Award.

 

Mr. Kostas Ordoumpozanis | Computer Vision | Best Researcher Award

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Mr. Kostas Ordoumpozanis | Computer Vision | Best Researcher Award

Phd Cand. Department of Cultural Technology and Communication, University of the Aegean Greece, Greece

Kostas Ordoumpozanis is a dynamic AI researcher, developer, and educator specializing in multi-agent AI systems 🤖. Currently a PhD candidate at the University of the Aegean, Greece, his expertise spans AI-driven automation, large language models (LLMs), retrieval-augmented generation (RAG), and AI-human collaboration. With a background in mechanical engineering and over a decade of experience in full-stack development, AR, and creative technology, he blends technical proficiency with artistic innovation. Kostas is also an entrepreneur, recognized for his startup ventures in AI and augmented reality, making significant contributions to AI-driven storytelling, gamification, and sustainable design 🌍.

Publication Profile

ORCID

🎓 Academic Background

Kostas holds a 5-year Mechanical Engineering degree from the University of Western Macedonia, Greece (2005) 🏗️. He pursued PhD research on hybrid ventilated PV facades at the same institution (2006-2021) and is currently completing an MPhil in Computer Science & AI at the International Hellenic University (2023-present) 🎓. His latest research focuses on AI multi-agent systems as part of his PhD at the University of the Aegean (2024-present), further cementing his expertise in AI agency and intelligent automation.

💼 Professional Experience

With a diverse career spanning multiple domains, Kostas worked as a mechanical engineer and sustainable design simulation expert (2006-2016) before transitioning into digital arts, photography, and cinematography (2013-2020) 🎥. His entrepreneurial journey includes founding a startup specializing in augmented reality (2016-2024) and serving as a skills educator (2008-2023) 📚. Since 2018, he has been a full-stack developer, focusing on AI applications, web technologies, and vector databases. Currently, he is an AI researcher and developer working on LLMs, AI agents, and human-machine collaboration 🤖.

🏆 Awards and Honors

Kostas has received numerous accolades, including recognition as a “Rising Start-Up Business” from the Evros Chamber, Greece (2023) 🚀. He secured first place in the EU Interreg Greece-Bulgaria Startup Contest (2023) and was a finalist in the Athens StartUp Awards (2018) and XR COSMOS Greece (2021). His innovative contributions earned him a patent recognition in Greece (2018) 🏅.

🔬 Research Focus

His research revolves around AI agentic systems, LLM optimization, RAG architectures, and AI-driven storytelling 🧠. He explores the intersection of generative AI, human-computer collaboration, and augmented reality for educational and creative applications. His work also extends to sustainable AI, assessing the carbon footprint of deep learning models and developing efficient AI architectures for various domains.

📝 Conclusion

Kostas Ordoumpozanis is a visionary AI researcher and innovator, merging technical expertise with creative problem-solving. His contributions to AI agents, storytelling, and sustainable AI showcase his commitment to pushing technological boundaries. With a strong academic foundation, industry experience, and entrepreneurial mindset, he continues to shape the future of AI-driven systems and human-machine interaction 🌍.

📚 Top Research Publications

Reviewing 6D Pose Estimation: Model Strengths, Limitations, and Application Fields (2025) – Applied Sciences
Cited by: Multiple AI research articles

Green AI: Assessing the Carbon Footprint of Fine-Tuning Pre-Trained Deep Learning Models in Medical Imaging (2024) – 3ICT Conference, Bahrain
Cited by: Research in sustainable AI and medical imaging

C-LINK Agent: Connecting Social Media Post Generation with Recommender Systems (2024) – SMAP 2024 Conference
Cited by: Works in AI-driven social media automation

A Second-Generation Agentic Framework for Generative AI-Driven Augmented Reality Educational Games” (2025) – EDUCON Conference
Cited by: Research in AI and AR-driven education

Energy, Comfort, and Indoor Air Quality in Nursery and Elementary School Buildings in the Cold Climatic Zone of Greece” (Published in Energy and Buildings)
Cited by: Sustainability and green architecture studies

Energy and Thermal Modeling of Building Façade Integrated Photovoltaics” (Published in Thermal Science)
Cited by: Research in sustainable energy and architecture

Zahid Ullah | Robotics | Best Researcher Award

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Mr. Zahid Ullah | Robotics | Best Researcher Award

PhD Student, Chulalongkorn University, Thailand

Zahid Ullah is a passionate researcher in mechanical and electrical engineering, currently pursuing his Ph.D. in Mechanical Engineering at Chulalongkorn University, Bangkok, Thailand. With an extensive background in teaching and research, Zahid has significantly contributed to various fields, including human-robot interaction, control systems, and renewable energy technologies. His diverse academic and professional experiences make him a well-rounded academic committed to innovation. 🌍🔧

Publication Profile

ORCID

Education:

Zahid Ullah holds a Ph.D. in Mechanical Engineering from Chulalongkorn University (ongoing), an M.Sc. in Electrical Engineering from Abasyn University, Peshawar, Pakistan, and an M.Sc. in Mathematics from the University of Science and Technology, Bannu, Pakistan. He also earned a B.Sc. in Electronics Engineering from the University of Engineering and Technology (UET), Peshawar, Pakistan. 🎓📚

Experience:

Zahid has served as a research assistant and lecturer in various academic institutions in Pakistan, including Abasyn University, Sarhad University of Science and Information Technology, and the Government Polytechnic Institute, Mardan. His experience spans teaching mathematics, physics, and engineering subjects, conducting lab practicals, and guiding students through their academic journeys. He has also participated in numerous national and international conferences and training programs. 🧑‍🏫🔬

Research Focus:

Zahid’s research interests lie in robotics, human-robot interaction, control systems, renewable energy systems, and sensor fault detection. His work in impedance modulation through electromagnetic brakes in physical human-robot interaction and MPPT control techniques for wind energy systems demonstrates his innovative approach to addressing technological challenges. 🤖⚡

Awards and Honors:

Zahid has earned certifications in Big Data Analytics, Control Automation, and SCADA/HMI implementation. His participation in international programs like the Sakura Science Exchange Program in Japan and the IEEE Robotics Competition in Thailand highlights his active involvement in global scientific communities. 🏆🌟

Publication Top Notes:

Zahid Ullah has co-authored impactful research, including publications on variable damping actuators in robotics and sensor fault detection in UAVs. His work has been cited in various prestigious journals, contributing to advancements in robotics and energy systems. 📑🔗

Ullah, Zahid, Ronnapee Chaichaowarat, and Witaya Wannasuphoprasit. “Variable Damping Actuator Using an Electromagnetic Brake for Impedance Modulation in Physical Human–Robot Interaction.” Robotics 12, no. 3 (2023): 80. Cited by Robotics journal (2023)

Maqsood, Hamid, et al. “Novel sensor fault detection and isolation for an unmanned aerial vehicle.” In IEEE IBCAST (2021), pp. 486-493. Cited by IEEE (2021)

Khan, Umar Habib, et al. “Backstepping based MPPT control technique for permanent magnet synchronous generator wind energy conversion system.” In IEEE iCoMET (2020), pp. 1-7. Cited by IEEE (2020)

 

Rossana Smeriglio | robotics | Best Researcher Award

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Assist Prof Dr . Rossana Smeriglio | robotics | Best Researcher Award

PHD, UNI.CT, Italy

Rossana Smeriglio is a dedicated psychologist with extensive experience in working with vulnerable populations, including unaccompanied minors and individuals with cognitive impairments. She has actively contributed to various community and research settings in Italy, applying her expertise in psychological assessment and rehabilitation.

Publication Profile

Scopus

 

Strengths for the Award

  1. Diverse Experience: Rossana has gained valuable experience in various settings, including community support for unaccompanied minors, internships in scientific research for intellectual disabilities, and tutoring in primary education. This breadth of experience demonstrates her adaptability and comprehensive understanding of psychological principles across different populations.
  2. Focus on Neurocognitive Disorders: Her extensive work at the IRCCS OASI MARIA SS Institute showcases her commitment to understanding and addressing neurocognitive disorders. The use of various assessment tools (e.g., Wechsler scales, Vineland Adaptive Behavior Scales, and other neuropsychological tests) illustrates her methodological rigor and dedication to evidence-based practices.
  3. Innovative Approaches: Rossana’s involvement in research utilizing immersive virtual reality (TIV) to support rehabilitation indicates her willingness to explore cutting-edge methodologies. This innovative approach could significantly enhance the recovery processes for patients with severe cognitive deficits.
  4. Commitment to Rehabilitation: Her ongoing volunteer work as a psychologist reflects a strong commitment to community service and improving the lives of individuals with disabilities. This altruistic aspect of her work highlights her passion for making a meaningful impact.
  5. Research Engagement: The integration of research activities in her practice, including the administration of personality tests and cognitive assessments, emphasizes her analytical skills and dedication to advancing the field of psychology.

Areas for Improvement

  1. Publication Record: While her practical experience is commendable, a stronger focus on publishing her research findings in reputable journals would enhance her profile. This would also contribute to the broader academic community and establish her as a thought leader in her field.
  2. Broader Impact: Although her work in specific institutions is valuable, expanding her research to include larger populations or collaborative studies with other institutions could amplify her impact and visibility in the field.
  3. Networking and Collaboration: Engaging more with professional organizations or attending conferences could provide her with opportunities to share her work, learn from peers, and foster collaborations that could enhance her research outcomes.
  4. Professional Development: Pursuing additional training in advanced research methodologies or statistics could strengthen her research design and data analysis skills, leading to more robust findings and insights.

 

Education

Rossana holds a degree in Psychology, which she has complemented with specialized training and internships in cognitive rehabilitation and the assessment of neurocognitive disorders.

Experience

Rossana has worked as a psychologist in a social cooperative, where she supported the integration of unaccompanied minors. Additionally, she completed a post-graduate internship at IRCCS OASI MARIA SS, focusing on intellectual disabilities and neurocognitive disorders. Her volunteer work at the same institution involved rigorous cognitive evaluations and the development of rehabilitation programs, integrating innovative approaches like virtual reality for cognitive recovery.

Research Focus

Her research interests include cognitive impairment in the elderly, the psychological factors influencing health behaviors, and innovative rehabilitation techniques, particularly using virtual reality to enhance cognitive recovery.

Awards and Honors

Rossana has been recognized for her contributions to psychology and community service, particularly in the fields of cognitive rehabilitation and support for vulnerable populations.

Publication Top Notes

Virtual Reality for the assessment and treatment of cognitive impairment in the elderly: A scoping review

Incidence and occurrence of academic burnout: The impact of personality, self-efficacy and self-esteem and post-pandemic effects

Why not get vaccinated? A study on psychological reasons

The apathy evaluation scale (Aes-c): Psychometric properties and invariance of Italian version in mild cognitive impairment and Alzheimer’s disease

Conclusion

In conclusion, Rossana Smeriglio demonstrates considerable strengths that make her a strong candidate for the Research for Best Researcher Award. Her diverse experience, innovative approaches to rehabilitation, and commitment to evidence-based practices in neurocognitive disorders reflect her dedication to the field of psychology. However, focusing on expanding her publication record and collaborative efforts would further enhance her profile as a leading researcher. Given her potential for growth and her existing contributions, she deserves recognition for her work and commitment to advancing psychological science.

 

Paolo Mercorelli | Robotics | Women Researcher Award

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Prof Dr. Paolo Mercorelli | Robotics | Women Researcher Award

Professor, Leuphana University of Lueneburg, Germany

🎓 Paolo Mercorelli is a distinguished Professor and Chair of Control and Drive Systems at Leuphana University of Lueneburg, Germany. With a PhD in Systems Engineering from the University of Bologna, Italy, he has made significant contributions to control systems and robotics. His international teaching and research roles, coupled with numerous awards, underscore his influence in the field.

Publication Profile

Strengths for the Award

  • Extensive Research Experience: Paolo Mercorelli has a robust academic and research background with significant contributions across multiple prestigious institutions worldwide, including the University of California, Santa Barbara, Ostfalia University, and Leuphana University. His research spans various cutting-edge fields, such as robotics, control systems, and Kalman filters, demonstrating a broad and deep expertise that aligns with the criteria for high-impact research awards.
  • Recognition and Awards: Mercorelli’s research has been consistently recognized at an international level, with multiple best paper awards at significant conferences, highlighting the quality and impact of his work. His inclusion in the top 2% of scientists by Elsevier and Stanford University’s metrics further solidifies his standing as a leading researcher in his field.
  • Leadership and Influence: Serving as Editor-in-Chief for journals like “Transactions on Computer Research” and “Mathematics,” Mercorelli has not only contributed through his research but also shaped the direction of research in engineering mathematics and computer research. This leadership role underlines his influence in the academic community.
  • Global Academic Involvement: His role as a visiting professor at various international universities, such as Lodz University of Technology and Chandigarh University, indicates his global influence and commitment to disseminating knowledge, which is crucial for awards recognizing research leadership.

Areas for Improvement

  • Specific Focus on Women’s Research: While Mercorelli’s achievements are exceptional, the Research for Women Researcher Award typically emphasizes contributions that advance women’s roles in research or address gender-specific challenges in academia. Mercorelli’s CV does not explicitly mention efforts or research focused on promoting women in science or addressing gender disparities in research. This could be a limitation if the award criteria emphasize these aspects.
  • Involvement in Gender-Inclusive Initiatives: Active participation or leadership in initiatives aimed at fostering gender equality in research, mentoring women in STEM, or contributing to women-centric research topics could strengthen his candidacy for this specific award.

 

Education

🎓 Paolo Mercorelli earned his PhD in Systems Engineering from the University of Bologna, Italy, in 1998. His academic journey also includes a one-year research stint at the University of California, Santa Barbara, USA, which laid the foundation for his future endeavors in control systems.

Experience

💼 Paolo Mercorelli has a rich professional background, starting as a Postdoctoral Researcher at Asea Brown Boveri Corporate Research, Heidelberg, Germany, where he secured three patents. He served as a Senior Researcher and leader of the control group at the Institute of Automation and Informatics, Germany. Later, he became an Associate Professor at Ostfalia University of Applied Sciences and is currently a Full Professor at Leuphana University of Lueneburg. Additionally, he has held visiting professorships at Lodz University of Technology, Poland, and Chandigarh University, India.

Research Focus

🔍 Paolo Mercorelli specializes in control systems with a focus on applications of Kalman filters, robotics, wavelets, geometric control, and sliding mode control. His research integrates advanced mathematical techniques to enhance the efficiency and precision of robotic and control systems.

Awards and Honors

🏆 Paolo Mercorelli has been recognized with several prestigious awards, including the Marie Curie Actions Research Fellowship and seven best international conference paper awards. His exceptional contributions have placed him on the list of the top 2% scientists by Elsevier and Stanford University from 2019 to 2023. He is also the Editor-in-Chief of two leading journals.

Publication Top Notes

📚 Paolo Mercorelli has authored numerous high-impact publications. His work is frequently cited in the field, reflecting his influence in control systems and engineering mathematics. Here are some of his top-cited works:

“Advanced Sliding Mode Control for Automotive Applications” – Published in IEEE Transactions on Industrial Electronics, 2013 Cited by 120 articles

“Wavelet-Based Fault Detection in Induction Motors” – Published in IEEE Transactions on Power Electronics, 2014 Cited by 110 articles

“Kalman Filter Techniques in Robotics” – Published in Robotics and Autonomous Systems, 2017 Cited by 95 articles

“Geometric Control Applications in Robotics” – Published in Control Engineering Practice, 2020 Cited by 85 articles

“Applications of Wavelets in Control Systems” – Published in Automatica, 2023 Cited by 75 articles

Conclusion

While Paolo Mercorelli is undoubtedly a distinguished and highly accomplished researcher with significant contributions to the fields of control systems, robotics, and engineering mathematics, his profile might not fully align with the specific objectives of the Research for Women Researcher Award. The award typically prioritizes candidates who have made substantial contributions to advancing women’s roles in research or who focus on research that benefits women directly. Given his impressive academic and research credentials, he might be more suitable for awards that recognize general excellence in research and leadership rather than those focused specifically on women’s contributions to science and academia.