Dr. Mojtaba Ahmadiehkhanesar | Robotics | Best Researcher Award

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Mojtaba Ahmadiehkhanesar | Robotics | Best Researcher Award

University of Nottingham | United Kingdom

Dr. Mojtaba Ahmadieh Khanesar (PhD, MIET’20, SMIEEE’16, MASME’23) is a distinguished research fellow in optical metrology and machine learning at the Department of Mechanical, Materials, and Manufacturing Engineering, University of Nottingham, UK. With extensive international experience in Denmark, Turkey, Iran, and the UK, his research spans metrology, robotics, control systems, AI, and machine learning. He earned his Ph.D. in Control Engineering from K. N. Toosi University of Technology, Tehran, Iran, with a thesis on model reference interval type-2 fuzzy control of SISO nonlinear systems, following an M.Sc. on sliding mode fuzzy control of a rotary inverted pendulum and a B.Sc. in Control Engineering. Dr. Khanesar possesses strong technical expertise in MATLAB, Python, OpenCV, AVR, ARM, Arduino, and robotics platforms including UR5, Baxter, and Sawyer, as well as metrology tools such as laser trackers, laser interferometers, Sensofar, Zygo, and Polytec systems. He has contributed significantly to EPSRC-funded projects including Robodome, HARISOM, and Chattyfactories, supervising PhD and undergraduate students while developing high-accuracy robotic systems and virtual instruments. He also serves as associate editor for Human-Centric Intelligent Systems, Complex and Intelligent Systems, and Energies, contributing to special issues on robust control and electromechanical systems. Dr. Khanesar’s research output includes 110 documents cited 2,363 times, with an h-index of 25, reflecting his significant impact in the field. He has received multiple honors including the Collaborate to Innovate Award, top student awards, and top paper recognitions in IEEE and Robotics journals, and he maintains active memberships in IEEE, ASME, IET, and BCS, demonstrating leadership and influence in engineering and computational intelligence communities worldwide.

Profile : Scopus | ORCID | Google Scholar

Featured Publications

  • Khanesar, M. A., Kayacan, E., Teshnehlab, M., & Kaynak, O. (2011). Extended Kalman filter based learning algorithm for type-2 fuzzy logic systems and its experimental evaluation. IEEE Transactions on Industrial Electronics, 59(11), 4443–4455.

  • Khanesar, M. A., Kayacan, O., Yin, S., & Gao, H. (2015). Adaptive indirect fuzzy sliding mode controller for networked control systems subject to time-varying network-induced time delay. IEEE Transactions on Fuzzy Systems, 23(1), 205–214.

  • Sharafi, Y., Khanesar, M. A., & Teshnehlab, M. (2013). Discrete binary cat swarm optimization algorithm. In Proceedings of the 3rd IEEE International Conference on Computer, Control and Communication (pp. xx–xx). IEEE.

  • Kayacan, E., Kayacan, E., & Khanesar, M. A. (2015). Identification of nonlinear dynamic systems using type-2 fuzzy neural networks—A novel learning algorithm and a comparative study. IEEE Transactions on Industrial Electronics, 62(3), 1716–1724.

  • Camci, E., Kripalani, D. R., Ma, L., Kayacan, E., & Khanesar, M. A. (2018). An aerial robot for rice farm quality inspection with type-2 fuzzy neural networks tuned by particle swarm optimization-sliding mode control hybrid algorithm. Swarm and Evolutionary Computation, 41, 1–8.

 

Uta Rösel | Technology | Best Researcher Award

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Dr. Uta Rösel | Technology | Best Researcher Award

Dr. Uta Rösel , Academic Councillor and Chief Engineer , FAU LKT , Germany.

Dr.-Ing. Uta Rösel is a German academic and mechanical engineer serving as an Academic Councilor at the Chair of Plastics Engineering at Friedrich-Alexander University Erlangen-Nürnberg (FAU). With a passion for research in polymer-based magnetics and thermal-mechanical material behavior, she has demonstrated excellence in both scientific contributions and academic leadership. Her journey from student assistant to senior engineer showcases her dedication to engineering education, sustainable materials, and innovative design. As a scholarship holder and prolific researcher with over 20 publications, Dr. Rösel contributes extensively to the development of recycling strategies and functional polymer composites for industrial applications.

Publication Profile

Scopus

ORCID

Google Scholar

🎓 Education Background

Dr. Uta Rösel pursued her academic journey entirely at Friedrich-Alexander University Erlangen-Nürnberg. She completed her Bachelor’s degree in Mechanical Engineering in 2016, followed by a Master’s degree in the same field with distinction in 2018. Her academic excellence earned her a prestigious scholarship from the German Academic Scholarship Foundation. She later obtained her doctoral degree (Dr.-Ing.) with honors for her significant research in polymer systems. Prior to her university studies, she attended Albertus Magnus High School in Regensburg and participated in a student exchange program in Navan, Ireland, enriching her international academic exposure early on.

🏢 Professional Experience

Dr. Rösel’s professional trajectory began as a student assistant from 2014 to 2018, teaching subjects like mathematics and design theory. In 2019, she became a Research Associate at the Chair of Plastics Engineering at FAU, contributing to various high-impact projects. By 2021, she was promoted to Head of Department, and in 2024, she also assumed the role of Senior Engineer (Deputy Head). Her current position as Academic Councilor underscores her leadership in research and academic affairs. Dr. Rösel has supervised numerous theses and served as a substitute lecturer, nurturing the next generation of mechanical engineers.

🏆 Awards and Honors

Dr. Rösel has received several academic honors, including a prestigious scholarship from the German Academic Scholarship Foundation. Her academic journey was marked by the completion of her doctoral studies with distinction. She gained international experience through a student exchange in Ireland, reflecting her adaptability and global engagement. Additionally, her teaching excellence and continued involvement in supervising research work further underscore her contribution to the academic community. Her scholarly output and leadership roles also serve as professional accolades, solidifying her standing as a respected figure in Mechanical and Plastics Engineering.

🔬 Research Focus

Dr. Rösel’s research specializes in polymer-based systems, particularly focusing on thermal conductivity, magnetic properties, and mechanical behavior of thermoset and thermoplastic composites. Her work aims to improve the sustainability and efficiency of polymer-bonded magnets and hybrid filler systems. She has significantly contributed to the understanding of recycling strategies for magnetic materials and the development of functional thermosets for industrial applications. Her projects are often interdisciplinary, combining materials science, mechanical engineering, and magnetism. With over 21 scientific papers and an h-index of 4, Dr. Rösel’s research is widely cited and has influenced contemporary advancements in mechanical and polymer engineering.

📌 Conclusion

Dr.-Ing. Uta Rösel is a distinguished mechanical engineer and academic leader whose work bridges the gap between research innovation and industrial relevance. Her dedication to advancing polymer-based materials, sustainability in engineering, and academic mentoring has positioned her as a key contributor to Germany’s mechanical engineering landscape. Through her dual roles in teaching and research, Dr. Rösel continues to inspire both students and fellow researchers, making notable strides in material science and plastics technology at Friedrich-Alexander University Erlangen-Nürnberg.

📚 Top Publications

  1. Correlation of the Thermal Conductivity and Mechanical Properties in Hybrid Filler Systems of Thermosets
    🔹 Polymers, 2025
    🔹 Cited by: 2 articles

  2. Influence of Application Conditions on the Magnetic Properties of Recycled Polymer-Bonded Magnets Based on Thermoplastics and Ferrite-Based Fillers
    🔹 Recycling, 2025
    🔹 Cited by: 3 articles

  3. Influence of Different Filler Systems on the Thermal Conductivity and Mechanical Properties of Thermosets
    🔹 Polymers, 2024
    🔹 Cited by: 2 articles

  4. Evaluation of a Recycling Strategy for Polymer-Bonded Magnets Based on Thermosets
    🔹 Recycling, 2024
    🔹 Cited by: 3 articles

  5. The Influence of the Design and Technological Parameters of Polymer-Based Multipolar Magnets with SrFeO Hard Magnetic Filler on the Residual Magnetic Properties
    🔹 Magnetism, 2024
    🔹 Cited by: 1 article

  6. Changes in Material Behavior according to the Amount of Recycled Magnetic Materials in Polymer-Bonded Magnets Based on Thermoplastics
    🔹 Magnetism, 2024
    🔹 Cited by: 2 articles

  7. Correlation between the Material System and the Magnetic Properties in Thermoset-Based Multipolar Ring Magnets
    🔹 Magnetism, 2023
    🔹 Cited by: 3 articles

  8. Extension of the Application Range of Multipolar Bonded Ring Magnets by Thermosets in Comparison to Thermoplastics
    🔹 Magnetism, 2023
    🔹 Cited by: 4 articles

 

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.

 

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.

 

Francisco M. Sánchez Margallo | Robotics | Best Researcher Award

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Dr. Francisco M. Sánchez Margallo | Robotics | Best Researcher Award

Scientific Director, Minimally Invasive Surgery Centre, Spain

🎓 Dr. Francisco M. Sánchez Margallo is a distinguished expert in minimally invasive surgery, currently serving as the Scientific Director of the Jesús Usón Center for Minimally Invasive Surgery. With a Doctorate Cum Laude from the University of Extremadura, he has been instrumental in advancing surgical technologies, leading numerous national and European research projects, and contributing significantly to clinical practices. He is a member of various prestigious surgical and research societies and continues to drive innovation in the field.

Publication Profile

Strengths for the Award

  • Extensive Leadership in Minimally Invasive Surgery: Dr. Francisco M. Sánchez Margallo has a distinguished career, leading the Jesús Usón Center for Minimally Invasive Surgery, a world-renowned institution in research and surgical training. His leadership roles, including being the Scientific Director since 2007, demonstrate his capability to lead cutting-edge research and innovation in the field.
  • Significant Research Contributions: He has led and collaborated in over 100 national and European research projects, highlighting his impact on the advancement of minimally invasive techniques. His participation in the publication of 260 articles in high-impact journals and contributions to books and book chapters underline his research excellence.
  • Clinical Innovation: His work in developing and transferring minimally invasive techniques to clinical practice, such as laparoscopic Heineke-Mikulicz pyloroplasty and thoracoscopic cardiac surgery, showcases his ability to bridge the gap between research and real-world clinical applications.
  • International Collaboration and Recognition: His involvement in international expert committees and groups like the Natural Orifice Surgery (NOTES) and Single Port Surgery (LESS) positions him as a global leader in surgical innovation. His active role in various prestigious organizations and platforms further cements his reputation.
  • Educational Leadership: Dr. Sánchez Margallo has supervised 35 doctoral theses and directed numerous academic programs, contributing significantly to the education and training of future specialists in Health Sciences. His role in directing over 650 courses and training stays speaks to his commitment to knowledge dissemination.
  • Innovative Projects and Funding: His leadership in significant European projects, such as the Erasmus+ Project and the Innovative Public Procurement Project for surgical robotics, demonstrates his ability to secure funding and lead large-scale, impactful research initiatives.

Areas for Improvement

  • Broader Impact Beyond Specialized Fields: While Dr. Sánchez Margallo’s contributions to minimally invasive surgery and related areas are profound, expanding his research impact to broader surgical fields or interdisciplinary areas could further enhance his qualifications for the Best Researcher Award.
  • Increased Public Engagement: Although he has contributed significantly to academic and clinical communities, increasing his public engagement, such as through public lectures, media presence, or popular science publications, could enhance his visibility and influence beyond the academic sphere.
  • Focus on Emerging Technologies: While he has been involved in surgical robotics and advanced therapies, further emphasis on emerging technologies such as AI in surgery or precision medicine could position him as a leader in the next frontier of medical research.

 

Education

📚 Dr. Sánchez Margallo earned his Doctorate Cum Laude from the University of Extremadura (UEX) in 1999, a distinction that also earned him the National Award from the Royal Academy of Doctors.

Experience

💼 Dr. Sánchez Margallo joined the Jesús Usón Center for Minimally Invasive Surgery in 1995 as Endoscopy Coordinator. Over the years, he has assumed increasing responsibilities, including Laparoscopy Coordinator, Director of the Surgical Area (2000), and eventually becoming the Scientific Director in 2007. His expertise has been pivotal in numerous high-impact research projects and clinical advancements in minimally invasive techniques.

Research Focus

🔬 Dr. Sánchez Margallo’s research primarily revolves around minimally invasive techniques and surgical technologies. He has been a part of over 100 national and European research projects, making significant contributions to laparoscopic surgery, thoracoscopic cardiac surgery, and surgical robotics. His work has led to the development of innovative procedures, such as laparoscopic Heineke-Mikulicz pyloroplasty and prostatic artery microembolization.

Awards and Honors

🏆 Dr. Sánchez Margallo has been recognized with the prestigious National Award from the Royal Academy of Doctors and has been accredited by the National Agency for Quality Assessment and Accreditation (ANECA). He holds leadership positions in multiple international and national surgical societies and research platforms.

Publications Top Notes

📖 Dr. Sánchez Margallo has published 260 articles in high-impact journals, contributed to several books and book chapters, and holds numerous industrial property registrations. His work is widely cited, reflecting his influence in the field of minimally invasive surgery.

Laparoscopic Heineke-Mikulicz Pyloroplasty: A Novel Approach in Minimally Invasive Surgery – Year: 2010, Journal of Minimally Invasive Surgery – Cited by: 45 articles.

Microembolization of the Prostatic Artery: Advancing Urological Procedures – Year: 2012, Urology Journal – Cited by: 60 articles.

Innovations in Thoracoscopic Cardiac Surgery – Year: 2015, Journal of Cardiothoracic Surgery – Cited by: 38 articles.

Conclusion

Dr. Francisco M. Sánchez Margallo is a highly suitable candidate for the Research for Best Researcher Award. His extensive leadership in minimally invasive surgery, significant research contributions, clinical innovations, and international recognition make him a standout figure in his field. While broadening his impact and increasing public engagement could enhance his profile, his current achievements clearly demonstrate excellence in research and innovation. He is well-deserving of recognition for his contributions to the advancement of surgical techniques and medical research.

 

Behnaz Sohani | Robotics | Best Researcher Award

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Dr. Behnaz Sohani | Robotics | Best Researcher Award

Assistant professor, Loughborough University, United Kingdom

Dr. Behnaz Sohani is an accomplished academic and researcher in Robotics and Biomedical Engineering, specializing in object and scene recognition, assistive robotics, rehabilitation systems, and healthcare robotics. She currently serves as a Co-Director of the Biorobotics and Healthcare/Medical Technologies (BMTec) Laboratory and as a Lecturer in Robotics at the University of Lincoln. With over 16 years of experience in education, research, and administration, Dr. Sohani is passionate about advancing technology and improving healthcare through innovative robotics solutions. 🚀🤖📚

Profile

  • Scopus
  • ORCID
  • Google Scholar

    Strengths for the Award

    1. Community-Oriented Research: Dr. Behnaz Sohani’s work in robotics and biomedical engineering has a clear impact on community health and well-being. Her research focuses on developing assistive and healthcare robotics, which directly benefits individuals with medical conditions and those needing rehabilitation. The development of medical imaging devices and intelligent robots aligns well with the award’s focus on community impact.
    2. Innovative Contributions: Dr. Sohani has been involved in groundbreaking projects, such as designing imaging devices for early detection of brain strokes and cancers. Her use of AI and advanced technologies in healthcare demonstrates innovation that addresses significant community health challenges.
    3. Leadership and Collaboration: As the Co-Director of the Biorobotics and Healthcare/Medical Technologies Laboratory, she has shown strong leadership in driving impactful research projects. Her ability to collaborate with both academic and industrial partners, including medical professionals, enhances the relevance and application of her research.
    4. Educational Impact: Dr. Sohani’s role as a lecturer and mentor at the University of Lincoln contributes to shaping the next generation of engineers and researchers. Her teaching covers a broad spectrum of robotics and biomedical engineering topics, ensuring that her knowledge and passion are shared with students who can continue to drive community-oriented innovations.
    5. Grants and Recognition: Securing significant grants, such as those from the Royal Society and European Regional Development Fund, underscores her ability to attract funding for projects with high community impact. Her successful grant applications reflect recognition and validation from the research community and funding bodies.

    Areas for Improvement

    1. Broader Community Engagement: While Dr. Sohani’s work is impactful within academic and healthcare circles, increasing outreach to broader community stakeholders could enhance the visibility and accessibility of her innovations. Engaging more directly with community organizations or public health initiatives could amplify her research’s community impact.
    2. Communication of Impact: Dr. Sohani’s CV highlights numerous achievements and research outputs but could benefit from more explicit examples of how her work has directly improved or benefited community members. Providing case studies or testimonials could better illustrate the tangible benefits of her research.
    3. Public Awareness: Increasing public awareness about the practical applications of her research could further strengthen the case for the award. This could involve more public engagement activities, such as workshops, seminars, or media outreach, to showcase how her technologies are being used in real-world scenarios.

       

      Education

      Dr. Sohani earned her PhD in Robotics and Biomedical Engineering from London South Bank University (2017-2021). Her doctoral research focused on medical imaging for diagnostic applications, particularly in detecting brain abnormalities using microwave imaging. 🧠🎓

      Experience

      Dr. Sohani has held various academic and research positions. Since January 2021, she has been a Lecturer in Robotics and Biomedical Engineering and the Lead and Director of the BMTec Laboratory at the University of Lincoln. Her roles include generating research income, publishing research outputs, and delivering high-quality teaching programs. Previously, she served as a Postdoctoral Research Fellow at London South Bank University, where she designed medical devices augmented by AI. 📊🧪👩‍🏫

      Research Interests

      Dr. Sohani’s research interests encompass robotics and biomedical engineering, with a focus on assistive robotics, healthcare robotics, path planning, real-time control, computer vision, signal processing, and AI technologies. She is dedicated to advancing the early detection and management of medical conditions and addressing critical healthcare challenges through innovative robotic solutions. 🤖🩺🔍

      Awards

      Dr. Sohani has received several prestigious awards and grants, including successful grant applications to the Royal Society (£70K), being the principal investigator on three research projects funded by the European Regional Development Fund (ERDF), and her PhD funding from the European Union’s Horizon research & innovation program under the Marie Sklodowska-Curie Grant Agreement. 🏆🎓💼

       Publications

      1. “Revolutionizing Demand Response Management: Empowering Consumers through Power Aggregator and Right of Flexibility.” Energies 17.6: 1419, (2024). Cited by 3 articles
      2. Aliyu, M. et al. “An artificial neural network model for the prediction of entrained droplet fraction in annular gas-liquid two-phase flow in vertical pipes.” International Journal of Multiphase Flow 164 (2023): 104452. Cited by 2 articles
      3. Nnadi, S. et al. “Development, Experimental, and Numerical Characterisation of Novel Flexible Strain Sensors for Soft Robotics Applications”, Robotics, 13(7), 103, (2024). Cited by 5 articles
      4. Webber, M., et al. “A techno-economic review of direct air capture of moisture processes: sustainable versus energy-intensive methods.” International Journal of Environmental Science and Technology: 1-35, (2024). Cited by 7 article
      5. Sohani, B. et al. “Developing a Comprehensive Model for the Prevention of Tension Neck Syndrome: A Focus on Musculoskeletal Disorder Prevention Strategies.” Advanced Robotics and Automation (WRC SARA), Beijing, China, pp. 541-548. IEEE, (2023). Cited by 4 articles

       

Heung-Shik Lee | Robotics | Best Researcher Award

Published on by Computer Scientists Awards

Prof. Heung-Shik Lee | Robotics | Best Researcher Award

Professor, Joongbu University, South Korea

Heung-Shik Lee is a distinguished professor and the Dean of the Department of Electrical Electronic and Automotive Engineering at Joongbu University since 2016. 🌟 With a solid background as a technical advisory member for the Ministry of SMEs and Startups and the Ministry of Environment, Prof. Lee has made significant contributions to the field. Prior to his current role, he was a professional researcher at the High Energy Materials Specialized Research Center at the Agency for Defense Development in Korea and a Research Fellow at the University of Texas at Dallas. 🌐

Profile

Strengths for the Award:

  1. Innovative Research Focus: Prof. Lee has developed an autonomous small mobility robot that addresses a significant challenge—exploring underground facilities where traditional communication methods like Wi-Fi and GPS are not viable. This innovation has practical implications for improving infrastructure management and safety.
  2. Significant Contributions: His research directly impacts community safety and efficiency by enabling precise location information of underground pipes and exploration results. This is crucial for maintaining and managing infrastructure, which benefits public services and safety.
  3. Professional Expertise: Prof. Lee’s extensive experience in both academic and industry settings, including his advisory roles with government ministries and his background in high-energy materials research, highlights his deep expertise and the relevance of his work.
  4. Research Output: With 48 journal publications, 14 patents, and numerous consultancy projects, Prof. Lee demonstrates a high level of productivity and impact in his field. His citation index of 270 further supports the influence and recognition of his work.
  5. Collaborations and Memberships: His collaborations with institutions like Inha University and his advisory roles show his active engagement in advancing his field and contributing to broader technological and academic communities.

Areas for Improvement:

  1. Community Engagement: While his research has clear practical applications, additional details on community involvement or outreach efforts could strengthen his case. Demonstrating direct interactions with or benefits to local communities might add further value to his nomination.
  2. Broader Impact: Highlighting specific case studies or real-world implementations of his technology could provide a clearer picture of the community impact. Evidence of successful commercial applications or user feedback would enhance the assessment of his contributions.
  3. Detailed Metrics: Providing more specific metrics or examples of how his research has directly benefited communities or led to tangible improvements would strengthen the nomination. This could include details on cost savings, safety improvements, or efficiency gains from his innovations.

Education

Prof. Lee has an extensive academic foundation, holding advanced degrees in engineering, which underpin his expertise in smart materials and automotive applications. 📚

Experience

His professional journey includes notable positions such as serving as a technical advisor and contributing to multiple research and consultancy projects. His expertise extends to autonomous control, smart materials, sensors, and structural safety. 🚀

Research Interests

Prof. Lee’s research focuses on smart material-based automotive applications, autonomous control systems, and advanced sensors and actuators. His innovative work includes the development of autonomous small mobility robots for underground facility exploration using AI technology. 🤖

Awards

Prof. Lee is nominated for the Best Researcher Award, recognizing his exceptional contributions to the field of engineering and technology. 🏆

Publications

Mask R-CNN-Based Stone Detection and Segmentation for Underground Pipeline Exploration Robots

An Inverse Perspective Mapping-Based Approach for Generating Panoramic Images of Pipe Inner Surfaces

Analysis of Used Cars Price Determinant Factors Using IPA | IPA

Multiple IMU sensor fusion using resolution refinement method to reduce quantization error