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)

 

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

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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