Swaib Dragule | Robotics | Best Researcher Award

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Mr. Swaib Dragule | Robotics | Best Researcher Award

Swaib Dragule at Makerere University | Uganda

Mr. Swaib Dragule is a dedicated computer scientist and researcher specializing in domain-specific languages, robotics, and software engineering for resilient systems. With academic and professional experiences spanning Uganda, Sweden, India, and China, he integrates cutting-edge AI and robotics research with community-driven innovations. His teaching, research, and consultancy work reflect a strong commitment to interdisciplinary collaboration, problem-solving, and mentoring future generations of researchers.

Professional Profile:

Education: 

Mr. Swaib Dragule is currently pursuing his Ph.D. in Computer Science at Makerere University, Uganda, with research focused on domain-specific languages and software engineering for robotics. He obtained his Licentiate Degree in Computer Science from Chalmers University of Technology, Sweden, following a Master of Science in Computer Science from the University of Mysore, India and a Bachelor of Science in Computer Science from the Islamic University in Uganda. He is also a certified Cisco CCNA Instructor and has undertaken additional professional training in Machine Learning and AI (Ningbo University, China), Applied Project Management (Chalmers University), and ICTs for Teaching and Learning (AVU & Commonwealth of Learning), among others.

Experience:

Mr. Swaib Dragule is a lecturer and researcher at Makerere University, Department of Computer Science, where he teaches Data Structures & Algorithms, Compiler Design, Advanced Programming, Simulation & Modelling, and Robotics. He supervises both undergraduate and postgraduate research projects while contributing to collaborative research on domain-specific languages (DSLs) for robotics and AI-driven community applications.

Previously, he served at the Islamic University in Uganda (IUIU), where he contributed to curriculum development, teaching, and scientific cooperation initiatives under COMSTECH. Beyond academia, he has led digital innovation and ICT consultancy projects with ABIDES Consultants (Arua) and community development programs with Nested Savings, where he spearheaded livelihood projects such as the award-winning Egg Bank Livelihood Project, funded under the Resilience Innovation Challenge for Adverse Climate Effects (RIC4ACE). His professional career also includes ICT support roles at GAB Communications, Uganda Limited, where he managed customer solutions, technical teams, and procurement.

Research Interest:

Mr. Swaib Dragule research focuses on Domain-Specific Languages (DSLs) for robotic mission specification, software engineering for resilient robotic systems, and AI applications for community transformation. He is particularly interested in compiler design, language theory, empirical software engineering, robotic simulation, and modelling approaches that enhance reliability and adaptability in multi-robot systems.

Publications Top Noted:

  • Effects of specifying robotic missions in behavior trees and state machines
    Year: 2025

  • Behavior Trees and State Machines in Robotics Applications
    Year: 2023

  • Languages for specifying missions of robotic applications
    Year: 2021

  • A survey on the design space of end-user-oriented languages for specifying robotic missions
    Year: 2021

  • Behavior trees in action: a study of robotics applications
    Year: 2020

Conclusion:

Mr. Swaib Dragule is an innovative researcher and educator whose contributions to robotics, domain-specific languages, and resilient AI systems make him a deserving recipient of the Best Researcher Award in Robotics. His commitment to academic excellence, research innovation, and community development highlights a well-rounded profile of impact. With his strong academic foundation and dedication to real-world problem-solving, he is well-positioned to play a key role in shaping the future of robotics research and applications globally.

Gaofan Ji | Robot Visual Navigation | Best Researcher Award

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Gaofan Ji | Robot Visual Navigation | Best Researcher Award

Mr. Gaofan Ji, Huzhou Institute of Zhejiang University, China.

Gaofan Ji, a passionate researcher in artificial intelligence 🤖, specializes in human posture estimation, robot visual navigation, and point cloud 3D reconstruction. Currently pursuing a master’s in Electronic Information Engineering 📚 at Huzhou University, Gaofan previously earned a bachelor’s degree in Vehicle Engineering 🚗 from Shandong University of Science and Technology. Proficient in Python, C++, ROS, and computer vision tools like PyTorch and OpenCV 💻, Gaofan thrives in creating innovative AI solutions. Beyond academia, he enjoys running, playing table tennis 🏓, and photography 📸, reflecting a well-rounded personality with a zest for technology and life.

Publication Profiles

Orcid

Education and Experience

  • 🎓 2018.9–2022.6: Bachelor’s in Vehicle Engineering, Shandong University of Science and Technology
  • 📖 2022.9–2025.6: Master’s in Electronic Information Engineering, Huzhou University
  • 🏢 2022.9–Present: Researcher at Huzhou Institute of Zhejiang University in Computer Vision

Suitability For The Award

Mr. Gaofan Ji, a postgraduate student in Electronic Information Engineering at Huzhou University, specializes in Computer Vision with a focus on human posture estimation, robot visual navigation, and 3D point cloud reconstruction. With expertise in Python, C++, ROS, Pytorch, and OpenCV, he has honed skills in artificial intelligence, applying them to practical research. His academic background, technical proficiency, and passion for AI make him a promising candidate for the Best Researcher Award.

Professional Development

Gaofan Ji’s professional expertise is centered on cutting-edge technologies in computer vision and artificial intelligence 🤖. Skilled in Python, C++, ROS, and Ubuntu systems, he leverages tools like PyTorch and OpenCV for AI development 💻. At the Huzhou Institute, his work focuses on human posture estimation, robot visual navigation, and 3D point cloud reconstruction 🧩. With a strong foundation in vehicle and electronic information engineering 🚗, he is adept at integrating software tools with AI for innovative solutions. A tech enthusiast who continuously explores advancements, Gaofan combines technical skills with a passion for problem-solving and innovation 🌟.

Research Focus

Publication Top Notes

  • 📄 MBSDet: A Novel Method for Marine Object Detection in Aerial Imagery with Complex Background Suppression (2024) 🌊🚁📷
  • 📄 A Novel Multi-LiDAR-Based Point Cloud Stitching Method Based on a Constrained Particle Filter (2024)  📡🛸🌐

Dr. Josef Ponikelský | Robotics Awards | Best Researcher Award

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Dr. Josef Ponikelsky | Robotics Awards | Best Researcher Award

Dr. Josef Ponikelsky, Jan Evangelista Purkyne University in usti nad Labem, Czech Republic

Ing. Josef Ponikelský,  is a Product Manager at HENNLICH s.r.o., where he leads a robotics team and manages technical projects. He holds a Ph.D. in Engineering Technology from the University of J. E. Purkyně, Ústí nad Labem, where he also completed his Master’s degree in Production Management. His educational background includes a focus on engineering technology and a semester of study in Greece. With prior roles in various sectors, including fitness center management and CNC machine operation, Josef has extensive experience in technical and customer-oriented positions. His achievements include multiple publications in engineering journals, participation in international conferences, and a top placement in the 2020 KONA competition. His research interests lie in collaborative robots and their collision environments.

Professional Profile:

Scopus

Suitability for Best Researcher Award

Ing. Josef Ponikelský’s strong academic background, extensive research contributions, and practical experience in robotics and engineering make him an excellent candidate for the Best Researcher Award. His ongoing Ph.D. research, coupled with his significant publication record and industry achievements, underscores his impact on the field and his potential to drive further advancements in engineering technology.

🎓Educational background:

Ing. Josef Ponikelský pursued his Ph.D. in Engineering Technology at the University of J. E. Purkyně, Ústí nad Labem, from 2018 to the present. Prior to this, he completed his Master’s in Production Management at the same university, which also included a semester of study in Greece, from 2011 to 2018. He earned his diploma in Strojírenství CAD-CAM from Střední Průmyslová Škola, Teplice, from 2007 to 2011.

🏢work experience:

Ing. Josef Ponikelský has held various positions over the years, demonstrating a diverse range of experience. Since 2016, he has been a Product Manager at HENNLICH s.r.o., where he leads a robotics team, manages technical projects, develops the customer base, and creates technical and commercial offers. In 2015, he worked as a Coordinator at Randstad, s.r.o., focusing on employee care and client satisfaction for KS Kolbenschmidt Czech Republic a.s. From 2011 to 2015, he was a Fitness Center Attendant at Sluneta Fitness, managing client relations and maintaining equipment. In 2011, he worked as a Constructor at Výtahy Vaněrka s.r.o., designing elevators in 3D, creating drawings, and handling project documentation. Additionally, he operated CNC machines for piston machining and measurement at KS Kolbenschmidt Czech Republic a.s. in 2011, and managed package weighing and storage at PPL CZ s.r.o. from 2008 to 2011.

🏅Awards and achievements:

Ing. Josef Ponikelský has earned notable accolades and recognition in his field. In 2020, he achieved 1st place in the KONA JEDE NA VYSOKOU competition. He was also awarded in the Students’ Grant Competition SGS, FSI UJEP for the 2021–2022 period, where he conducted research on forces and pressures in collaborative robots. His scholarly contributions include multiple publications in prestigious engineering journals, such as Strojírenská Technologie, Manufacturing Technology, and Sensors, as well as several conference proceedings, totaling 11 articles.

Publication Top Notes:

  • Force and Pressure Dependent Asymmetric Workspace Research of a Collaborative Robot and Human
    • Citations: 1
  • Research of Robots in Cooperative Mode in Human Body Part Detection
    • Citations: 3

 

 

 

 

Ms. Yuanjiong Ying | Robotics Awards | Best Researcher Award

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Ms. Yuanjiong Ying | Robotics Awards | Best Researcher Award

Ms. Yuanjiong Ying, Shanghai Jiao Tong University, China

Ms. Yuanjiong Ying is an accomplished M.S. student in Robotics at Shanghai Jiao Tong University, where she also earned her B.S. in Mechanical Engineering, recognized with honors such as the Outstanding Graduate Award and Academic Scholarship. With extensive internship experience at Huawei’s 2012 Lab and JAKA Robotics Co., Ltd., she has developed advanced algorithms for autonomous driving and collaborative robotics. Her project leadership includes creating state estimation algorithms for UAVs in GPS-denied environments and developing a vision-inertial SLAM system, showcasing her expertise in robotics, visual perception, and autonomous systems.

Professional Profile:

Scopus

Suitability for the Award

Ms. Yuanjiong Ying is an outstanding candidate for the Best Researcher Award due to the following reasons:

  1. Academic Excellence:
    • Ms. Ying has consistently demonstrated academic excellence throughout her studies, maintaining a top GPA and earning numerous honors and awards. Her rigorous academic background in robotics and mechanical engineering, coupled with her performance at one of China’s top universities, positions her as a leading young researcher.
  2. Research Impact:
    • Despite her relatively early career stage, Ms. Ying has already made significant contributions to the field of robotics, evidenced by her authorship of key publications and patents. Her work on multi-view active sensing, collision-evaluation systems, and efficient moving horizon estimation has the potential to advance human-robot interaction, UAV localization, and collaborative robotics.
  3. Professional Experience:
    • Her internships at Huawei and JAKA Robotics provided her with practical experience in applying her research to real-world problems, particularly in autonomous driving and collaborative robotics. Her contributions to high-resolution visual representation and safety trajectory planning demonstrate her ability to translate complex theoretical concepts into practical applications.
  4. Leadership and Innovation:
    • Ms. Ying’s leadership roles in project management and her involvement in extracurricular activities reflect her ability to lead and innovate. Her experience in organizing significant university events also suggests strong organizational and interpersonal skills, which are critical for a successful research career.

Summary of Qualifications

  1. Education:

    • M.S. in Robotics (2022.09 – 2025.06), Shanghai Jiao Tong University:
      • GPA: 3.8/4.0, Top 10%.
    • B.S. in Mechanical Engineering (2018.09 – 2022.06), Shanghai Jiao Tong University:
      • GPA: 3.7/4.3, Top 15%.
      • Honors: Outstanding Graduate Award, Outstanding Student Leader Award, Academic Scholarship, Excellence Scholarship.

  2. Publications & Patents:

    • Authored and co-authored several impactful papers and patents, including:
      • “Multi-View Active Sensing for Human-Robot Interaction via Hierarchically Connected Tree” (1st Author, SNA).
      • “CEASE: Collision-Evaluation-based Active Sense System for Collaborative Robotic Arms” (2nd Author, TIM).
      • “A Computationally Efficient Moving Horizon Estimation for Flying Robots’ Localization Regarding a Single Anchor” (2nd Author, ROBIO).
      • Patents: Proactive Safety Protection Technology for Collaborative Robots, Active Vision Algorithm Based on Cylindrical Representation of Humanoid Obstacles, Design of a Decoupled Active Vision Mechanism Enclosure.

  3. Internship Experience:

    • Huawei 2012 Lab, Central Media Technology Institute (2024.06 – Present):
      • Worked on Autonomous Driving Algorithm as an intern, focusing on high-resolution visual representation for multimodal large models in autonomous parking scenarios.
    • JAKA Robotics Co., Ltd. (2023.02 – 2024.03):
      • Developed visual perception algorithms for collaborative robots, focusing on safety trajectory planning and proactive visual perception.

  4. Project Experience:

    • Flying Robots’ Localization Algorithms Based on Multi-Sensor Data Fusion:
      • Project Lead, developed state estimation algorithms for UAV positioning in GPS-denied environments.
    • UAV Simultaneous Localization and Mapping System Based on Vision-Inertial Sensors:
      • Developed a tightly-coupled SLAM system for UAV localization.

  5. Extracurricular Activities:

    • Director of Culture and Sports Center, Shanghai Jiao Tong University Student Union (2019.03 – 2022.03):
      • Organized significant events such as the Graduation Ceremony and Anniversary Celebration.

  6. Professional Skills:

    • Programming Languages: Python, C++, MATLAB.
    • Software: PyTorch, HuggingFace, ROS, MoveIt!, Gazebo, Rviz, Linux, Git, Solidworks, AutoCAD.
    • LLMs: Proficient in LLM principles and fine-tuning; Familiar with models like LLaVA, CLIP, LLaMA, InternVL.
    • Robotic Systems: Proficient in the full operation process of robots (perception, planning, control); Familiar with VINS-Fusion framework, multi-sensor data fusion, and multi-camera environmental perception.

Conclusion

Ms. Yuanjiong Ying is a highly suitable candidate for the Best Researcher Award. Her combination of academic excellence, impactful research, professional experience, and leadership qualities makes her an exceptional contender for this recognition. Her contributions to robotics, particularly in human-robot interaction and UAV localization, highlight her potential to become a leading researcher in her field.