Dimitris Ziouzios | Robotics | Best Researcher Award

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Dr. Dimitris Ziouzios | Robotics | Best Researcher Award

Dr. Dimitris Ziouzios | Researcher | University of Western Macedonia | Greece

Dr. Dimitris Ziouzios is a dedicated researcher at the University of Western Macedonia, whose work spans robotics, embedded systems, and FPGA-based applications. His research emphasizes the integration of intelligent systems with real-world challenges such as environmental sustainability, smart waste management, and educational robotics. With over 23 completed and ongoing research projects, Dr. Ziouzios has made impactful contributions through innovations that merge automation, machine learning, and IoT technologies. His work has led to one patent, numerous collaborations with research institutions and industry partners including CERTH, the University of Wuppertal, and local municipalities, and over 14 publications indexed in SCI and Scopus journals. His research influence is reflected in a Google Scholar record of 514 citations with an h-index of 12, and a Scopus record of 345 citations with an h-index of 10. Beyond his technical research, Dr. Ziouzios contributes to advancing smart city infrastructures and robotics education, promoting environmental awareness and empathy through technology-driven learning. His consistent scholarly output and multidisciplinary collaborations highlight his strong commitment to innovation and applied research excellence.

Publication Profile

Google Scholar

Featured Publications

Ziouzios, D., Tsiktsiris, D., Baras, N., & Dasygenis, M. (2020). A distributed architecture for smart recycling using machine learning. Future Internet, 12(9), 141.

Ziouzios, D., Karlopoulos, E., Fragkos, P., & Vrontisi, Z. (2021). Challenges and opportunities of coal phase-out in western Macedonia. Climate, 9(7), 115.

Ziouzios, D., Baras, N., Balafas, V., Dasygenis, M., & Stimoniaris, A. (2022). Intelligent and real-time detection and classification algorithm for recycled materials using convolutional neural networks. Recycling, 7(1), 9.

Ziouzios, D., Rammos, D., Bratitsis, T., & Dasygenis, M. (2021). Utilizing educational robotics for environmental empathy cultivation in primary schools. Electronics, 10(19), 2389.

Ziouzios, D., Dasygenis, M. (2023). Effectiveness of the IoT in regional energy transition: The smart bin case study. Recycling, 8(1), 28.

 

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.

 

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