Deborah Akuoko-Minka | Robotics | Computer Vision Contribution Award

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Computer Vision Contribution Award

Deborah Akuoko-Minka
The University of Edinburgh, United Kingdom

Deborah Akuoko-Minka
Affiliation The University of Edinburgh
Country United Kingdom
Google Scholar ID ab0EyjYAAAAJ
Documents 9
Citations 3
h-index 1
Subject Area Robotics
Event Computer Scientists Awards
ORCID 0009-0008-6219-154X

The Computer Vision Contribution Award recognizes scholarly achievements that advance computer vision, intelligent sensing, and robotics through innovative research. Deborah Akuoko-Minka of The University of Edinburgh has contributed to emerging studies involving transient imaging, material-aware perception, optical sensing, and machine vision methodologies. Her recent publications demonstrate an interdisciplinary approach that integrates computer vision with photonics and intelligent robotic perception, supporting research into robust sensing technologies for challenging environments.[1]

Abstract

Deborah Akuoko-Minka’s academic work explores computer vision techniques that combine transient imaging, intelligent sensing, and material-aware analysis. Her research investigates optical signal interpretation for object recognition and material classification while supporting robotics and automated inspection applications. These studies illustrate the integration of computational imaging with practical sensing challenges and contribute to ongoing developments in intelligent visual systems.[2]

Keywords

Computer Vision, Robotics, SPAD Imaging, Material Classification, Intelligent Sensing, Optical Perception, Machine Vision, Time-Resolved Imaging.

Introduction

Modern computer vision increasingly extends beyond conventional image analysis by incorporating temporal, optical, and physical characteristics of observed scenes. Deborah Akuoko-Minka’s publications reflect this direction through research on transient vision and intelligent perception for material-aware recognition. Such investigations support improved sensing accuracy under conditions where traditional imaging approaches may be limited.[3]

Research Profile

Her scholarly profile includes publications in computational imaging, optical sensing, robotics, and machine perception. Available research metrics indicate nine scholarly documents with citations demonstrating the early dissemination of her work. The research portfolio emphasizes experimental validation, reproducible sensing methodologies, and interdisciplinary collaboration between computer vision and photonic technologies.[1]

Research Contributions

  • Development of transient vision techniques for material-aware object detection.
  • Research on SPAD-based time-resolved sensing for homogeneous material analysis.
  • Investigation of optical sensing methods for milk purity assessment.
  • Application of intelligent computer vision approaches within robotics and automated perception.

Publications

  • Beyond Appearance: Transient Vision for Homogenised Milk Purity (2026).
  • Beyond Appearance: Intelligent Spatiotemporal Vision for Material-Aware Object Detection (2026).
  • Time-Resolved SPAD Transients for Milk Purity Assessment (2026).
  • Non-Spectral Time-Resolved SPAD Sensing for Flat Homogeneous Material Classification (2026).

Research Impact

The research demonstrates the growing role of transient imaging and intelligent sensing within computer vision. By combining optical physics with computational analysis, these studies contribute to future developments in robotic perception, quality inspection, industrial automation, and material recognition. The interdisciplinary nature of this work provides a foundation for continued investigation across vision science and intelligent robotics.[4]

Award Suitability

Deborah Akuoko-Minka’s contributions align with the objectives of the Computer Vision Contribution Award by advancing innovative research in computer vision, robotics, and intelligent sensing. Her publications emphasize methodological development, interdisciplinary collaboration, and practical applications of advanced visual technologies while maintaining a strong academic research focus.[5]

Conclusion

The academic profile presented here highlights Deborah Akuoko-Minka’s developing contributions to computer vision and robotics through research on transient sensing, optical perception, and intelligent material analysis. These studies demonstrate an interdisciplinary approach that supports future advances in automated perception, computational imaging, and intelligent robotic systems.[5]

References

  1. Elsevier. (n.d.). Google Scholar author details: Deborah Akuoko-Minka, Author ID ab0EyjYAAAAJ.
    https://scholar.google.co.uk/citations?hl=en&user=ab0EyjYAAAAJ
  2. Akuoko-Minka, D. (2026). Beyond Appearance: Transient Vision for Homogenised Milk Purity.
    https://doi.org/10.21203/rs.3.rs-10434018/v1
  3. Akuoko-Minka, D. (2026). Beyond Appearance: Intelligent Spatiotemporal Vision for Material-Aware Object Detection.
    https://doi.org/10.21203/rs.3.rs-10412364/v1
  4. Akuoko-Minka, D. (2026). Time-Resolved SPAD Transients for Milk Purity Assessment.
    https://doi.org/10.1364/opticaopen.31964601
  5. Akuoko-Minka, D. (2026). Non-Spectral Time-Resolved SPAD Sensing for Flat Homogeneous Material Classification.
    https://doi.org/10.1364/opticaopen.31957221

Mr. Ahmed Hamet Sidi | Robotics Systems | Research Excellence Award

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Mr. Ahmed Hamet Sidi | Robotics Systems | Research Excellence Award

Teacher | University of Djillali Liabes | Niger

Mr. Ahmed Hamet Sidi is an emerging researcher in electromechanics, robotics, and advanced control systems, with a strong focus on dynamic system control, visual servoing, and intelligent automation. His work explores trajectory tracking, optimization techniques, and modern control approaches such as PID, model predictive control, and reinforcement learning for complex electromechanical systems. He has contributed to research on 2-DOF ball-on-plate balancing systems, highlighting precision control and system stability. His publications are indexed in Scopus, with 2 documents and a developing citation profile, alongside growing visibility on Google Scholar with an early-stage h-index. His research demonstrates promising potential in robotics innovation and smart control applications.

Citation Metrics (Scopus)

9

6

3

0

 

Citations
1

Documents
2

h-index
1

             🟦 Citations 🟥 Documents 🟩 h-index


View Scopus Profile

Featured Publications

Enhanced Ball Trajectory Tracking Using Visual Servoing with 2-DOF Ball on Plate Balancing System
– Journal Européen des Systèmes Automatisés, 2024

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.

 

 

Mr. FERNANDO GARCIA SANZ | Robotic | Best Researcher Award

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Mr. FERNANDO GARCIA SANZ | Robotic | Best Researcher Award

Director Rehabilitation, CEMTRO clinic, Spain

Fernando García Sanz  is a highly accomplished physiotherapist and rehabilitation expert with over 25 years of experience in the fields of physiotherapy, injury prevention, and sports rehabilitation. Currently based in Madrid, Spain, he serves as the Director of the Physiotherapy and Rehabilitation Department at Hospital CEMTRO, a role he has held since 2008. His career includes prestigious positions, such as personal physiotherapist to Real Madrid Football Club players, and his work emphasizes elite treatment standards for both professional athletes and general patients. Fernando is recognized not only for his hands-on clinical expertise but also for his contributions to education, research, and leadership in healthcare institutions.

Publication Profile

Scopus

🎓 Education Background:

Fernando is currently pursuing a PhD in Health Sciences since 2021. He holds an Executive Master in Advanced Management Program from IE Business School (2019–2021), a Master’s Degree in Directing and Managing Health Institutions from University Pontificia de Salamanca (2016–2017), and an Expert Title in Manipulative Therapy from the CAR of San Cugat (2014–2015). His academic path also includes a Master’s in Sports Physiotherapy from European University of Madrid (2009–2010), where his award-winning thesis was published, and a Bachelor’s Degree in Physical Therapy from University Pontificia de Salamanca (1995–1998). 📘📚

💼 Professional Experience:

Fernando’s career is distinguished by his leadership at Hospital CEMTRO since 2000, where he rose from physiotherapist to department director. Under his leadership, the department became a FIFA Medical Centre of Excellence, handling over 90,000 sessions annually. He was also Director of the Sport Injury Center (2010–2012) and served for 15 years as a physiotherapist at Real Madrid CF (1998–2013), managing injury recovery and rehabilitation for elite athletes. His early clinical work included roles at San Rafael and Pío XII Hospitals. 🏥⚽

🏅 Awards and Honors:

Fernando contributed significantly to Hospital CEMTRO’s recognition as one of only 49 FIFA Centers of Medical Excellence worldwide 🌍. His master’s thesis earned Summa Cum Laude honors, and he is frequently invited as a speaker on national TV and at top medical conferences. He is a recognized expert member of ASEPI and the Official College of Physiotherapists of Madrid.

🔬 Research Focus:

His research interests include invasive physiotherapy techniques, tendinopathies, cartilage injuries, eccentric training, and sports injury prevention and recovery. Fernando integrates clinical experience with academic knowledge through his teaching and his company EXEFF, where he trains advanced physiotherapists. He has published in top journals and contributed to textbooks and international guidelines. 🧬📝

✅ Conclusion:

Fernando García Sanz is a trailblazer in physiotherapy and rehabilitation in Spain, blending hands-on excellence with visionary leadership and scholarly insight. His commitment to elite sports health, education, and continuous learning cements his reputation as a foremost authority in physiotherapy and sports medicine. 🏅📈

📚 Top Publications :

Effect of the invasive treatment through dry needling about the tolerance to the myofascial pain in the infraspinatus muscle
📅 Year: 2011 | 📖 Journal: Cuestiones de Fisioterapia
📊 Cited by: ~20 articles (approximate based on indexing databases)

Physiotherapy after Cartilage Repair – ICRS Newsletter
📅 Year: 2011 | 📖 Journal: ICRS Newsletter
📊 Cited by: Multiple clinical reference works and therapy guidelines

The strength training as active-assisted exercise therapy in Cinesiterapia: Physiological Basis and Practical Application
📅 Year: 2013 | 📖 Publisher: Elsevier
📊 Cited by: Multiple academic book reviews and physiotherapy courses

Treatment of glenohumeral internal rotation deficit in the general population with shoulder pain. An open single-arm clinical trial
📅 Year: 2023 | 📖 Journal: Medicine (Baltimore)
📊 Cited by: 5+ clinical studies and orthopedic therapy reviews

Sabyrzhan Atanov | Robotics | Best Researcher Award

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Dr. Sabyrzhan Atanov | Robotics | Best Researcher Award

professor, L.N. Gumilyov Eurasian National University, Kazakhstan

Dr. Atanov Sabyrzhan Kubeisinovich is a distinguished Doctor of Technical Sciences and Professor at the Department of Computer and Software Engineering, L.N. Gumilyov Eurasian National University. With a Hirsch index of 8, he has made remarkable contributions to computer science, artificial intelligence, and cybersecurity. He is an active member of multiple prestigious scientific councils and academies in Kazakhstan, contributing to advancements in national security, defense, and mining sciences. His expertise spans software development, cryptography, AI-driven robotic systems, and UAV navigation, making him a leading researcher and innovator in his field.

Publication Profile

🎓 Education

Dr. Atanov has a strong academic foundation with a Doctorate in Technical Sciences (2010), specializing in Mathematical and Software Support for Computing Machines, Complexes, and Computer Networks. He earned his Candidate of Technical Sciences degree (1989) from Moscow Power Engineering Institute, focusing on software for electromechanical field calculations using the finite element method. His undergraduate studies (1979) were completed at Moscow Technical University of Communications and Informatics, specializing in space radio communications.

💼 Experience

Dr. Atanov has been a professor at L.N. Gumilyov Eurasian National University since 2006, shaping future engineers in computer and software engineering. He has played vital roles in Kazakhstan’s Ministry of Higher Education, Ministry of Education and Science, and the National Scientific Council. His research has led to cutting-edge advancements in AI-driven robotics, UAV control, and cybersecurity. As a principal investigator, he has successfully led multiple international projects in robotics, AI, and neural network-based spacecraft control systems.

🏅 Awards and Honors

Dr. Atanov’s contributions have earned him numerous accolades, including being a two-time recipient of the “Best University Teacher” award (2007, 2018) from the Ministry of Education and Science of Kazakhstan. He has received the USSR State Committee Prize (1989) for research in space systems. His distinguished honors include the “Honorary Signalman” badge, “Honorary Miner” badge, and “For Contribution to Military Science” badge. Additionally, he has been recognized with honorary certificates and diplomas for his outstanding service in education and research.

🔬 Research Focus

Dr. Atanov specializes in intelligent control systems for spacecraft, UAV navigation, cryptographic security, and AI-driven robotics. His work encompasses microprocessor and FPGA-based systems, wireless and fiber-optic communication, and IoT security. He has played a pivotal role in the development of AI-powered reconnaissance robots, cybersecurity frameworks for cellular networks, and cryptographic protocols for secure data transmission. His research has been instrumental in advancing Kazakhstan’s technological infrastructure in defense and national security.

🔍 Conclusion

Dr. Atanov Sabyrzhan Kubeisinovich is a pioneering figure in AI-driven automation, cybersecurity, and UAV technologies. With extensive research, leadership in national scientific councils, and a track record of groundbreaking projects, he continues to push the boundaries of technological innovation in Kazakhstan and beyond. His contributions to national security, robotics, and data protection make him an indispensable expert in the global scientific community. 🚀

📚 Publications

Intelligent voice control system for UAV with mobile robot (2025) – Indonesian Journal of Electrical Engineering and Computer Science DOI: 10.11591/ijeecs.v38.i2.pp1061-1072

Application of Quantum Key Distribution to Enhance Data Security in Agrotechnical Monitoring Systems Using UAVs (2025) – Applied Sciences DOI: 10.3390/app15052429

About one lightweight encryption algorithm ensuring the security of data transmission and communication between IoT devices (2024) – International Journal of Electrical and Computer Engineering DOI: 10.11591/ijece.v14i6.pp6846-6860

Improved unmanned aerial vehicle control for efficient obstacle detection and data protection (2024) – IAES International Journal of Artificial Intelligence DOI: 10.11591/ijai.v13.i3.pp3576-3587

Enhancing cryptographic protection, authentication, and authorization in cellular networks (2024) – International Journal of Electrical and Computer Engineering DOI: 10.11591/ijece.v14i1.pp479-487

Algorithm of Coordination of Swarm of Autonomous Robots (2023) – IEEE Conference Paper DOI: 10.1109/SIST58284.2023.10223555

Development of control software for self-organizing intelligent mobile robots (2023) – Eastern-European Journal of Enterprise Technologies DOI: 10.15587/1729-4061.2023.277840

 

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)