Marius Šumanas | Computer Vision | Best Researcher Award

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Assist. Prof. Dr Marius Šumanas | Computer Vision | Best Researcher Award

Vilnius Tech | Lithuania

Dr. Marius Šumanas is an Associate Professor in the Department of Mechatronics, Robotics, and Digital Manufacturing at Vilnius Gediminas Technical University (VILNIUS TECH).  His research interests encompass robotics, machine learning, and digital manufacturing. Dr. Šumanas has authored several publications, including a study on improving positioning accuracy of articulated robots using deep Q-learning algorithms. He has also participated in various conferences, presenting topics related to machine learning applications in robotics. In addition to his academic roles, Dr. Šumanas has practical experience in the industry. Since 2018, he has been working as a Process Engineer and ERP Systems Business Analyst at MB Pramones algoritmas. He has also held positions in marketing and sales management in previous years. Dr. Šumanas’ work bridges the gap between theoretical research and practical application, contributing to advancements in robotics and digital manufacturing.

Profile : Orcid

Featured Publications

Andrijauskas, I., Šumanas, M., Dzedzickis, A., Tanaś, W., & Bučinskas, V. (2025). Computer vision-based optical odometry sensors: A comparative study of classical tracking methods for non-contact surface measurement. Sensors.

Šumanas, M., Treciokaite, V., Čerškus, A., Dzedzickis, A., Bučinskas, V., & Morkvenaite-Vilkonciene, I. (2022). Sitting posture monitoring using Velostat based pressure sensors matrix. In Smart Sensor Systems (pp. 1–12). Springer.

Bučinskas, V., Dzedzickis, A., Šumanas, M., Sutinys, E., Petkevicius, S., Butkiene, J., Virzonis, D., & Morkvenaite-Vilkonciene, I. (2022). Improving industrial robot positioning accuracy to the microscale using machine learning method. Machines, 10(10), 940.

Šumanas, M., Urbonis, D., Petronis, A., Stankaitis, S., Januškevičius, T., Iljin, I., & Dzedzickis, A. (2021). Evaluation of motion characteristics using absolute sensors. In Advances in Mechatronics and Intelligent Robotics (pp. 1–12). Springer.

Šumanas, M., Petronis, A., Urbonis, D., Januskevicius, T., Rasimavicius, T., Morkvenaite-Vilkonciene, I., Dzedzickis, A., & Bučinskas, V. (2021, April 22). Determination of excavator tool position using absolute sensors. In 2021 Open Conference of Electrical, Electronic and Information Sciences (eStream). IEEE.

Ahmed Fouly | Mechanical Engineering | Best Academic Researcher Award

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Assoc. Prof. Dr. Ahmed Fouly | Mechanical Engineering | Best Academic Researcher Award

College of Engineering, King Saud University | Saudi Arabia

Dr. Ahmed Fouly is an accomplished engineer and researcher with a robust interdisciplinary profile: he holds a PhD in Mechatronics and Robotics (2017) from the Egypt–Japan University of Science and Technology, and earlier earned an MSc and BSc in Production Engineering & Mechanical Design from Minia University. Over the years he has progressed through academic ranks to become Associate Professor at King Saud University and concurrently in Minia University. He has published over 90 peer-reviewed articles . 873 citations and a current h-index of 18 as per Google Scholar . His research spans materials science tribology and wear, mechatronics and MEMS, AI modeling, and contact modeling using FEA. His academic experience includes service as course instructor in mechatronics, robotics, control, sensors, mechanical design, and finite element analysis, and supervising numerous projects in biomedical composites and robotics. He has secured competitive research grants (e.g. from King Salman Center, oriented research programs) and won multiple awards including “scientific publication awards” over successive years, best conference paper awards, and institutional recognition for robotics design. In sum, Dr. Fouly is a dynamic scholar fusing engineering, materials, and intelligent systems, with strong publication impact and leadership in emerging interdisciplinary fields.

Profiles : Google Scholar | Scopus | Orcid

Featured Publications

Fouly, A., Ibrahim, A. M. M., Sherif, E. S. M., FathEl-Bab, A. M. R., & Badran, A. H. (2021). Effect of low hydroxyapatite loading fraction on the mechanical and tribological characteristics of poly (methyl methacrylate) nanocomposites for dentures. Polymers, 13(6), 857.

Ahmadian, H., Fouly, A., Zhou, T., Kumar, A. S., Fathy, A., & Weijia, G. (2024). Investigating the valence balance of adding Nano SiC and MWCNTs on the improvement properties of copper composite using mechanical alloying and SPS techniques. Diamond and Related Materials, 145, 111113.

Fouly, A., & Alkalla, M. G. (2020). Effect of low nanosized alumina loading fraction on the physicomechanical and tribological behavior of epoxy. Tribology International, 152, 106550.

Fouly, A., Assaifan, A. K., Alnaser, I. A., Hussein, O. A., & Abdo, H. S. (2022). Evaluating the mechanical and tribological properties of 3D printed polylactic-acid (PLA) green-composite for artificial implant: Hip joint case study. Polymers, 14(23), 5299.

Fouly, A., Abdo, H. S., Seikh, A. H., Alluhydan, K., Alkhammash, H. I., Alnaser, I. A., … (2022). Evaluation of mechanical and tribological properties of corn cob-reinforced epoxy-based composites—theoretical and experimental study.

Mehrdad Esmaeilipour | Electrical Engineering | Engineering Talent Award

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Mr. Mehrdad Esmaeilipour | Electrical Engineering | Engineering Talent Award

Arya Plasma Gostar Pars | Iran

Mehrdad Esmaeilipour is an accomplished Electronics Engineer with extensive experience in green technology, digital health, and smart systems innovation. Holding a Bachelor’s degree in Electronics Engineering Technology from Islamic Azad University, he has applied his expertise as a Senior Electronics Engineer at Arya Plasma Gostar Pars Company, leading projects in cold plasma systems, air purification, and wastewater treatment technologies. As the founder and CEO of Parsa Pardazesh Bushehr Sanat Company (PPBS Co.), he has combined technical excellence with entrepreneurial vision, fostering innovation, employment, and social impact. His research spans artificial intelligence, robotics, smart wearable devices, renewable energy systems, and electronic circuit optimization, leading to multiple patents, including a novel smart bracelet for visually impaired individuals. He has authored several books and journal articles on photovoltaic systems, electrical safety, robotics, and AI applications, contributing to both academic and industrial advancements. With conference presentations in Europe, Iran, and beyond, he has gained international recognition through numerous awards such as the Best Wearable Sensing Technology Award 2025 and the Global Recognition Award 2025. Dedicated to leveraging electronics for environmental sustainability and human welfare, Mehrdad continues to integrate research, innovation, and mentorship, shaping the future of smart systems and sustainable engineering.

Profile :  Google Scholar

Featured Publications

Esmaeilipour, M., & Zalzar, M. H. (2025). Design, construction and performance comparison of fuzzy logic controller and PID controller for two-wheel balance robot (smart sensors). Applied Mathematics on Science and Engineering, 2(1), 36–47.

Esmaeilipour, M. (2025, July). Advances and challenges in lithium-ion battery technology. In Proceedings of the 2nd International Conference on Electrical, Mechanical, Information Technology and Computer in Engineering Sciences (Naples, Italy).

Esmaeilipour, M. (2025, May). Design of an optimal proportional-integral-derivative controller utilizing AI techniques for brushless direct current motor with phase shift. In Proceedings of the International Conference on Computer, Electrical, Mechanical and Engineering Science (Eindhoven, Netherlands).

Esmaeilipour, M. (2025, June). Advancements in cold plasma technology for electronic and surface sterilization applications. In Proceedings of the 9th International Conference on Science and Technology of Electrical, Computer and Mechanical Engineering (Iran).

Esmaeilipour, M. (2025, February). Design, construction and performance comparison of fuzzy logic controller and PID controller for two-wheel balance robot. In Proceedings of the 10th International Conference on Electrical Engineering, Computer, Mechanics and Artificial Intelligence (Mashhad, Iran).

Rajeev Kumar | Engineering and Technology | Engineering Award of Excellence

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Dr. Rajeev Kumar | Engineering and Technology  | Engineering Award of Excellence

Lovely professional University | India

Dr. Rajeev Kumar is an accomplished researcher and academician in Mechanical Engineering with over 15 years of teaching, research, and mentoring experience. He earned his Ph.D. in Mechanical Engineering from IKGPTU, Kapurthala (2023), preceded by an M.Tech in Design Engineering from NIT Kurukshetra (2010) and a B.Tech in Mechanical Engineering from Kurukshetra University (2007). Currently serving as Associate Professor and Assistant Dean at Lovely Professional University, he has contributed extensively to the fields of crack propagation and prognosis, metal matrix composites, polymer composites, and mechanical composites. His prolific academic output includes 74 publications with 874 citations, an h-index of 18, and 64 Scopus-indexed documents, reflecting strong global research visibility. Dr. Kumar has been actively engaged in guiding Ph.D. and postgraduate students while also participating in grant proposals such as the ISRO-funded project on fiber optic acoustic emission sensing. His dedication has earned him recognition, including the Research Excellence Award on Teacher’s Day Celebration 2024 at LPU. Beyond teaching, he has contributed as an editorial board member and reviewer for reputed international journals. Passionate about innovation, he also holds patents in renewable energy and mechanical system design. Dr. Kumar continues to inspire through impactful research, academic leadership, and scientific service.

Profile : Orcid

Featured Publications

“Design and analysis of a stairs-climbing military bot for efficient and stable movement on various terrains”

“Unveiling of mechanical, morphological, and thermal characteristics of alkali-treated flax and pine cone fiber   reinforced polylactic acid (PLA) composites: fabrication and characterizations”

“Exploring the implications of CoCrFeNiCu high entropy alloy coatings on tribomechanical, wetting behavior, and   interfacial microstructural characterizations in microwave-clad AISI 304 stainless steels”

“Synergistic Enhancement of Super Capacitive Performance Through Sol-Gel Auto-Combustion Synthesis of Nickel Ferrite Nano-Particles and Reduced Graphene Oxide Hybrid Nano-Composite Electrode”

“Corrosion analysis of stainless steel exposed to Karanja oil biodiesel: a comparative study with commercial           diesel fuel, surface morphology analysis, and long-term immersion effects in alternative fuels”

Alessio Fasano | Robotics | Best Researcher Award

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Dr Alessio Fasano | Robotics | Best Researcher Award

Research Engineer in Don Carlo Gnocchi Foundation ONLUS at Italy

Alessio Fasano is a dedicated research engineer specializing in biomedical engineering and neurorobotics. Born on June 20, 1991, in Italy, he is currently affiliated with the Fondazione Don Carlo Gnocchi ONLUS, where he focuses on advancing rehabilitation technologies. With a robust academic background, including a Ph.D. in BioRobotics from Scuola Superiore Sant’Anna, Fasano’s work is marked by a commitment to enhancing patient care through innovative robotics and data analysis. He has co-authored numerous peer-reviewed publications and participates actively in international conferences, emphasizing collaboration and research excellence.

Profile

Orcid

Strengths for the Award

  1. Extensive Research Experience:
    • Alessio has a robust background in biomedical engineering and neurorobotics, demonstrated by his roles in prominent projects such as the Human Brain Project and Fit4MedicalRobotics. His ongoing contributions to innovative research in rehabilitation robotics underline his commitment to advancing the field.
  2. Strong Academic Credentials:
    • With a Ph.D. in BioRobotics and multiple degrees with honors from reputable institutions, Alessio showcases a solid academic foundation that supports his research activities. His educational achievements are complemented by a consistent record of excellence.
  3. Publication Record:
    • Alessio has co-authored several impactful publications in peer-reviewed journals, indicating his active engagement in cutting-edge research. His work on postural control in children with movement disorders and rehabilitation protocols after stroke highlights significant contributions to both clinical and theoretical aspects of biomedical engineering.
  4. Technical Proficiency:
    • Proficient in advanced programming (Python, MATLAB), data analysis, and computational modeling, Alessio possesses the technical skills essential for conducting high-level research. His familiarity with neurophysiological signal analysis and machine learning further enhances his research capabilities.
  5. Collaboration and Leadership:
    • His involvement in interdisciplinary projects and collaboration with clinical professionals exemplifies his ability to work effectively within teams. Alessio’s experience in managing projects and supervising students demonstrates his leadership potential.

Areas for Improvement

  1. Broader Networking:
    • While Alessio has a solid publication record, expanding his professional network could enhance his visibility in the global research community. Engaging in more international collaborations may open up additional funding opportunities and broaden the impact of his work.
  2. Grant Writing Experience:
    • Although Alessio has experience in grant applications, further development in this area could strengthen his capacity to secure funding for future projects. Participating in workshops or mentorship programs focused on grant writing could be beneficial.
  3. Public Engagement:
    • Increasing his engagement with public audiences and non-academic stakeholders could enhance the societal impact of his research. Alessio might consider public talks or outreach initiatives to share his findings and promote the importance of rehabilitation technologies.

Education

Alessio Fasano holds a Ph.D. in BioRobotics from Scuola Superiore Sant’Anna, awarded with merits in November 2022. Prior to this, he completed his Master’s in Biomedical Engineering at the University of Naples Federico II in 2018, graduating with top honors (110/110 cum laude). His academic journey began with a Bachelor’s degree in Biomedical Engineering, also from the University of Naples Federico II, where he graduated with the same distinction. Throughout his education, Fasano has developed a strong foundation in robotics, neural systems, and biomedical applications.

Experience

Currently a research engineer at Fondazione Don Carlo Gnocchi ONLUS, Alessio Fasano engages in projects related to robotic rehabilitation. His previous role as a research associate at the Instituto di BioRobotica involved collaboration on significant projects like the Human Brain Project, where he analyzed EEG data and developed neural network models. His earlier experience includes an internship at Maastricht University, focusing on functional magnetic resonance imaging. Throughout his career, Fasano has managed projects, supervised students, and contributed to various research initiatives, emphasizing his commitment to advancing medical technologies.

Research Focus

Alessio Fasano’s research focuses on the integration of robotics in neurorehabilitation, utilizing advanced technologies like EEG and biomechanical modeling to enhance patient recovery. He explores the interplay between human neural systems and robotic interfaces, aiming to develop customized rehabilitation protocols. His work extends to analyzing biomechanical movement patterns and investigating the efficacy of digital rehabilitation tools in clinical settings. Through collaboration on international projects, Fasano seeks to bridge the gap between technology and clinical practice, ultimately improving outcomes for patients with movement disorders.

Publication Top Notes

  • Restoring of Interhemispheric Symmetry in Patients with Stroke Following Bilateral or Unilateral Robot-Assisted Upper-Limb Rehabilitation: A Pilot Randomized Controlled Trial 🤖🧠
  • Rehabilitation with and without Robot and Allied Digital Technologies (RADTs) in Stroke Patients: A Study Protocol for a Multicentre Randomised Controlled Trial on the Effectiveness, Acceptability, Usability, and Economic-Organizational Sustainability of RADTs from Subacute to Chronic Phase (STROKEFIT4) 🏥📊
  • Implementation of a Robot-Mediated Upper Limb Rehabilitation Protocol for a Customized Treatment after Stroke: A Retrospective Analysis 🦾📈
  • Assessment of Postural Control in Children with Movement Disorders by Means of a New Technological Tool: A Pilot Study 👶⚖️
  • Modeling Vestibular Afferents for Neuromorphic Sensing and Eye Movement Control 🧪👁️
  • Maximum Downward Slope of Sleep Slow Waves as a Potential Marker of Attention-Deficit/Hyperactivity Disorder Clinical Phenotypes 💤🧠
  • Reaching and Grasping Movements in Parkinson’s Disease: A Review ✋📖
  • Modeling the Brain and Its Pathologies 🧠🔍
  • Maximum Downward Slopes of Sleep Slow Waves as a Potential Marker of Attention Deficit Hyperactivity Disorder Clinical Phenotypes 💤📉
  • The Neurorobotics Platform: Virtual Bodies for Biologically Realistic Brain Models and Vice Versa 🤖🌐

Conclusion

Alessio Fasano stands out as a candidate for the Best Researcher Award due to his extensive research experience, strong academic background, and impressive publication record. His technical skills and collaborative spirit further bolster his qualifications. By focusing on expanding his network, enhancing grant writing capabilities, and engaging with the public, Alessio can continue to elevate his contributions to biomedical engineering and neurorobotics, ultimately benefiting a wider audience and enhancing his career trajectory.