Alexandre Karkas | Robotics | Best Researcher Award

Published on by Computer Scientists Awards

Best Researcher Award

Alexandre Karkas
Affiliation Jean Monnet University
Country France
Scopus ID 23993037100
Citations 1,504
Documents 111
h-index 21
Subject Area Robotics
Event Computer Scientists Awards
ORCID 0000-0001-9288-8761

Alexandre Karkas is a researcher affiliated with Jean Monnet University, France, recognized for scholarly contributions in the field of robotics and intelligent systems research. His academic profile demonstrates sustained engagement in robotics engineering, automation methodologies, sensor-driven systems, and interdisciplinary computational technologies. Through scientific publications and collaborative investigations, his work contributes to the advancement of robotics applications within engineering and computational science communities.[1]

Abstract

This article presents an overview of the academic and scientific contributions of Alexandre Karkas in the field of robotics and intelligent systems. His research activities include robotics integration, automation frameworks, sensing technologies, and applied computational methods. The scholarly profile associated with his research demonstrates measurable scientific productivity and international academic visibility through peer-reviewed publications and indexed research outputs.[2]

Keywords

Robotics, Intelligent Systems, Automation Engineering, Sensor Systems, Computational Robotics, Machine Intelligence, Engineering Research, Autonomous Systems, Human–Machine Interaction, Scientific Computing

Introduction

Robotics research has become increasingly significant in addressing industrial automation, intelligent control systems, and adaptive engineering applications. Alexandre Karkas has contributed to these evolving domains through research focused on robotics methodologies and computational approaches. His scientific work reflects interdisciplinary integration involving engineering sciences, automated systems, and algorithmic optimization.[3]

Research Profile

Alexandre Karkas is associated with Jean Monnet University and maintains an active academic profile indexed through international scholarly databases. His research metrics include more than one hundred indexed publications and over one thousand citations, indicating continuing scholarly engagement within robotics and engineering disciplines.[1]

  • Primary research area: Robotics and intelligent systems
  • Affiliation with Jean Monnet University, France
  • Indexed scholarly publications in international databases
  • Research visibility through citation-based impact indicators

Research Contributions

The research contributions of Alexandre Karkas include investigations into robotic systems, intelligent automation, and computational optimization techniques. His studies contribute to understanding system performance, robotic coordination, and sensor-assisted engineering methodologies within modern automation frameworks.[2]

Publications

Alexandre Karkas has authored and co-authored numerous peer-reviewed publications indexed in international academic repositories. His publications demonstrate sustained scholarly productivity in robotics and intelligent systems research.[1]

  • Research on robotic automation and intelligent control systems
  • Studies involving computational optimization and autonomous systems
  • Publications related to robotics integration and engineering applications
  • Collaborative research involving sensor-driven technologies and system modelling

Research Impact

Research contributions associated with robotics and automation technologies continue to influence modern engineering systems and intelligent computational environments. His work contributes to ongoing developments in machine-assisted processes and robotic system design.[4]

Award Suitability

Alexandre Karkas demonstrates characteristics associated with scholarly excellence in robotics research, including publication productivity, measurable citation impact, and engagement in technologically relevant scientific investigations. These attributes align with the objectives of the Best Researcher Award presented by the Computer Scientists Awards platform.[5]

Conclusion

Alexandre Karkas has established a recognized academic profile in robotics and intelligent systems through scholarly publications, research collaborations, and contributions to engineering innovation.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Alexandre Karkas, Author ID 23993037100. Scopus.

    https://www.scopus.com/authid/detail.uri?authorId=23993037100
  2. ORCID. (n.d.). Alexandre Karkas researcher profile and scholarly contributions.

    https://orcid.org/0000-0001-9288-8761
  3. International Federation of Robotics. (2023). Advances in robotics and automation systems.

    https://doi.org/10.1016/j.robot.2020.103548
  4. IEEE Robotics and Automation Society. (2022). Emerging trends in intelligent robotic systems.

    https://doi.org/10.1109/LRA.2021.3068942
  5. Computer Scientists Awards. (n.d.). Best Researcher Award recognition and evaluation criteria.

    https://computerscientists.net/

Dimitris Ziouzios | Robotics | Best Researcher Award

Published on by Computer Scientists Awards

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.

 

Behnaz Sohani | Robotics | Best Researcher Award

Published on by Computer Scientists Awards

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