Zahid Ullah | Robotics | Best Researcher Award

Mr. Zahid Ullah | Robotics | Best Researcher Award

PhD Student, Chulalongkorn University, Thailand

Zahid Ullah is a passionate researcher in mechanical and electrical engineering, currently pursuing his Ph.D. in Mechanical Engineering at Chulalongkorn University, Bangkok, Thailand. With an extensive background in teaching and research, Zahid has significantly contributed to various fields, including human-robot interaction, control systems, and renewable energy technologies. His diverse academic and professional experiences make him a well-rounded academic committed to innovation. 🌍🔧

Publication Profile

ORCID

Education:

Zahid Ullah holds a Ph.D. in Mechanical Engineering from Chulalongkorn University (ongoing), an M.Sc. in Electrical Engineering from Abasyn University, Peshawar, Pakistan, and an M.Sc. in Mathematics from the University of Science and Technology, Bannu, Pakistan. He also earned a B.Sc. in Electronics Engineering from the University of Engineering and Technology (UET), Peshawar, Pakistan. 🎓📚

Experience:

Zahid has served as a research assistant and lecturer in various academic institutions in Pakistan, including Abasyn University, Sarhad University of Science and Information Technology, and the Government Polytechnic Institute, Mardan. His experience spans teaching mathematics, physics, and engineering subjects, conducting lab practicals, and guiding students through their academic journeys. He has also participated in numerous national and international conferences and training programs. 🧑‍🏫🔬

Research Focus:

Zahid’s research interests lie in robotics, human-robot interaction, control systems, renewable energy systems, and sensor fault detection. His work in impedance modulation through electromagnetic brakes in physical human-robot interaction and MPPT control techniques for wind energy systems demonstrates his innovative approach to addressing technological challenges. 🤖⚡

Awards and Honors:

Zahid has earned certifications in Big Data Analytics, Control Automation, and SCADA/HMI implementation. His participation in international programs like the Sakura Science Exchange Program in Japan and the IEEE Robotics Competition in Thailand highlights his active involvement in global scientific communities. 🏆🌟

Publication Top Notes:

Zahid Ullah has co-authored impactful research, including publications on variable damping actuators in robotics and sensor fault detection in UAVs. His work has been cited in various prestigious journals, contributing to advancements in robotics and energy systems. 📑🔗

Ullah, Zahid, Ronnapee Chaichaowarat, and Witaya Wannasuphoprasit. “Variable Damping Actuator Using an Electromagnetic Brake for Impedance Modulation in Physical Human–Robot Interaction.” Robotics 12, no. 3 (2023): 80. Cited by Robotics journal (2023)

Maqsood, Hamid, et al. “Novel sensor fault detection and isolation for an unmanned aerial vehicle.” In IEEE IBCAST (2021), pp. 486-493. Cited by IEEE (2021)

Khan, Umar Habib, et al. “Backstepping based MPPT control technique for permanent magnet synchronous generator wind energy conversion system.” In IEEE iCoMET (2020), pp. 1-7. Cited by IEEE (2020)

 

Juxian Zhao | Computer Science | Best Researcher Award

Dr. Juxian Zhao | Computer Science | Best Researcher Award

PhD candidate, China University of Mining and Technology School of Mechatronic Engineering, China

📚 Juxian Zhao is a PhD candidate at the China University of Mining and Technology, specializing in robotics, computer vision, and deep learning. He focuses on developing innovative technologies for intelligent firefighting equipment and autonomous operations. Currently leading R&D for a key provincial project, Juxian has made significant contributions to the field through his research and innovations.

Profile

Scopus

 

Education

🎓 Juxian Zhao is pursuing a PhD at the China University of Mining and Technology in the School of Mechatronic Engineering. His academic journey has been marked by a strong focus on robotics, computer vision, and deep learning technologies, which he integrates into his research on intelligent firefighting equipment.

Experience

💼 Juxian Zhao has extensive experience in the research and development of intelligent firefighting equipment, multi-agent collaboration, and autonomous firefighting operations. He is currently leading a key provincial-level R&D project and actively collaborating with XCMG Fire Fighting Equipment Co., Ltd., and Xuzhou XCMG Daojin Special Robot Technology Co., Ltd.

Research Interests

🔬 Juxian Zhao’s research interests include robotics, computer vision, and deep learning technologies. He is particularly focused on applying these technologies to intelligent firefighting equipment and autonomous firefighting operations, aiming to enhance efficiency and effectiveness in emergency response scenarios.

Awards

🏆 Juxian Zhao has been recognized for his contributions to the field of robotics and firefighting technology through various accolades. His work on the CG-DALNet model for autonomous firefighting has garnered attention for its innovative approach and significant performance improvements.

Publications

Accurate and Fast Fire Alignment Method Based on a Mono-binocular Vision System

Visual predictive control of fire monitor with time delay model of fire extinguishing jet

An efficient firefighting method for robotics: A novel convolution-based lightweight network model guided by contextual features with dual attention