Zohaib Khan | Engineering and Technology | Excellence in Research Award

Dr. Zohaib Khan | Engineering and Technology | Excellence in Research Award

Jiangsu University | China

Zohaib Khan is a PhD candidate in Control Science and Engineering at Jiangsu University, specializing in machine learning–driven perception and control for intelligent robotic systems. With over six years of research and applied experience, his work bridges deep learning, computer vision, and real-time robotic control, with a strong focus on agricultural robotics and precision farming. He has authored more than 10 high-impact SCI-indexed journal articles, achieving an h-index of 6, with 11 research documents and 121 citations. His research interests include object detection and segmentation (YOLO series, transformer-based models, RCNN), vision-guided navigation, precision spraying, and robust control of autonomous robots in unstructured environments. Zohaib has contributed as both first and co-author to leading journals such as Computers and Electronics in Agriculture, Agronomy, Sensors, and IEEE Transactions on Industrial Electronics. Alongside research, he has extensive experience supervising student projects and developing real-time AI pipelines using Python, PyTorch, OpenCV, ROS, and C/C++. His academic excellence is recognized through multiple national and international awards, including innovation, debate, and research excellence honors. Overall, Zohaib Khan represents a strong blend of theoretical rigor and practical AI deployment, aiming to advance large-scale industrial and agricultural perception systems.

Citation Metrics (Scopus)

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Featured Publications

Ibrahim Khalil Kabir | Engineering and Technology | Best Researcher Award

Mr. Ibrahim Khalil Kabir | Engineering and Technology | Best Researcher Award

King Fahd University of Petroleum and Minerals | Saudi Arabia

Ibrahim Khalil Kabir is a control and robotics researcher working at the intersection of control theory and artificial intelligence, with a strong focus on learning-based robotics, socially aware navigation, and human–robot interaction. He holds an MSc in Systems and Control Engineering and a BEng in Mechatronics Engineering, with a solid academic record and advanced training in autonomous systems. His research experience spans graduate teaching and research assistantships, where he contributed to robot path planning, navigation, and hands-on laboratory instruction using real robotic platforms. His scholarly output includes peer-reviewed journal and conference publications covering UAV control, mobile robot navigation, deep reinforcement learning, and socially aware robotic systems. According to Google Scholar, his research profile reflects an emerging h-index supported by multiple indexed documents and a steadily growing citation count, indicating increasing impact in robotics and intelligent control research. His work has appeared in reputable venues such as IEEE Access, Machine Learning and Knowledge Extraction, and IEEE conferences. He has received several academic honors, including national merit scholarships and highest GPA awards. Overall, his research trajectory demonstrates a strong foundation and growing influence in intelligent robotics, positioning him well for advanced doctoral research in learning-enabled autonomous systems.

Citation Metrics (Google Scholar)

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View Google Scholar Profile

Featured Publications

André Araújo | Multi-Robot System | Best Researcher Award

Mr. André Araújo | Multi-Robot System | Best Researcher Award

CTO & PhD Candidate, Ingeniarius, Lda & Institute For Systems and Robotics – U Coimbra, Portugal

André Araújo is the CTO and co-founder of Ingeniarius, Lda., an R&D company specializing in robotics and AI. With over a decade of experience in mobile, aerial, and aquatic robotics, he has developed multi-robot systems for industrial and scientific applications. His expertise spans autonomous navigation, AI integration, and sensor systems. André holds an MSc in Electrical and Computer Engineering from the University of Coimbra (FCTUC), where he is pursuing a Ph.D. in Multi-Robot Systems. He has worked at leading R&D institutions such as ISR Coimbra, INESCTEC Porto, and IST-ID Lisbon. His professional journey includes contributions to cutting-edge projects like AGVs, swarm robotics, aerial robotics, and smart systems. He has published numerous research articles and actively collaborates with industry leaders to drive technological innovation in robotics and AI. His work adheres to international standards, ensuring quality and efficiency in development processes.

Education

André Araújo pursued his academic journey at the University of Coimbra (FCTUC), where he obtained his MSc in Electrical and Computer Engineering with a focus on Robotics and Automation in 2012. Currently, he is continuing his education with a Ph.D. in Multi-Robot Systems at the same institution. Throughout his academic career, André has developed a deep understanding of autonomous navigation, cooperative robotics, sensor systems, and AI, shaping his research interests and innovations in the field of robotics. His Ph.D. research focuses on the development of intelligent multi-robot systems with applications in industrial, scientific, and real-world scenarios. He has received fellowships and grants for research in robotics from institutions like INESCTEC Porto, ISR Coimbra, and IST-ID Lisbon, where he also contributed to several pioneering projects in autonomous systems. This strong academic foundation has played a crucial role in his successful career as a researcher and innovator in robotics and AI.

Experience

André Araújo’s professional career spans over 10 years, with a focus on robotics and AI innovation. He is the CTO and co-founder of Ingeniarius, Lda., where he leads projects in mobile, aerial, and aquatic robotics. Since 2014, he has developed intelligent multi-robot systems for industrial and scientific applications, tackling challenges in automation, navigation, and AI. As a researcher and consultant at institutions like ISR Coimbra, INESCTEC Porto, and IST-ID Lisbon, André has contributed to multiple high-profile projects such as AGVs, swarm robotics, aerial drones, and autonomous systems. He has played a key role in the development of cutting-edge robotic technologies for applications ranging from infrastructure monitoring to fire prevention. His experience includes overseeing projects from inception to implementation, ensuring compliance with international standards like ISO 9001. Through his career, André has developed a comprehensive skill set, including project management, R&D, and system integration.

Research Focus

André Araújo’s primary research focus is on developing multi-robot systems and autonomous navigation technologies. His expertise lies in the integration of robotics, AI, and sensor systems to address complex industrial and scientific challenges. He specializes in designing and implementing intelligent robotic systems for applications such as infrastructure monitoring, search and rescue operations, wildfire prevention, and agricultural automation. André’s research extends to swarm robotics, where he explores collaborative approaches to improve system efficiency and performance. A significant part of his work revolves around the application of AI algorithms to enable real-time decision-making and coordination among multiple robots. His focus also includes advancements in human-robot interaction and the development of systems that support autonomous operation in dynamic environments. With a deep interest in the future of robotics, André aims to push the boundaries of automation, contributing to the advancement of industries and scientific fields through innovative solutions and interdisciplinary research.

Publication Top Notes

  • A Multi-Drone System Proof of Concept for Forestry Applications 📄🌳
  • Unlocking the Potential of Human-Robot Synergy Under Advanced Industrial Applications: The FEROX Simulator 🤖🏭
  • An Image-Based Framework for Measuring the Prestress Level in CFRP Laminates: Experimental Validation 📐
  • Towards the Next Generation of Multi-Robot Systems for Solar Power Plants Inspection and Maintenance 🌞🚁
  • Benchmarking for Strain Evaluation in CFRP Laminates Using Computer Vision: Machine Learning versus Deep Learning 🧠💻
  • Multi-Robot Path Planning based on Self-Organized Map for Autonomous Robots (SOMAR) 🛠️
  • ROS Integration of an Instrumented Bobcat T190 for the SEMFIRE Project 🤖🔥
  • Localization and navigation assessment of a heavy-duty field robot 🚜📍
  • Mediçao da extensao em laminados de cfrp pré-esforçados no reforço de elementos de betao 📊
  • Improving the robustness of a service robot for continuous indoor monitoring 🏠🤖
  • A Reliable Localization Architecture for Mobile Surveillance Robots 🕵️‍♂️
  • Fostering human–robot cooperative architectures for search and rescue missions in urban fires 🔥🚨
  • Using Artificial Intelligence for Pattern Recognition in a Sports Context ⚽🤖