Shijie Wang | Robotics | Best Researcher Award

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Dr. Shijie Wang | Robotics | Best Researcher Award

Dr. Shijie Wang, Shenzhen Institutes of Advanced Technology, Chinese Academy of Science, China

Dr. Shijie Wang is a PhD Candidate at Hebei University of Technology and a joint researcher at the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences. With a background in engineering (B.Eng, M.Eng), Dr. Wang’s research focuses on robotics and mechanical systems. He has authored impactful publications in Applied Mathematical Modelling and contributed to several patents on construction robotics and high-load manipulators. Dr. Wang has won multiple awards, including the China “Challenge Cup” and 3D Digital Innovative Design Competition. His work on construction robotics has earned substantial funding, highlighting his innovative contributions. 🤖🔧📚📑

 

Publication Profile

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Academic & Professional Qualifications

Dr. Shijie Wang is a PhD candidate at Hebei University of Technology and a joint training researcher at the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences. He holds a B.Eng and M.Eng from Hebei University of Technology. His academic journey has been complemented by professional experience, including his role as a research assistant at the Shenzhen Institutes and as a chief process engineer at Beijing Jingdiao Group. Dr. Wang has also worked as an R&D engineer at Shinetek Instruments Research Institute. His diverse expertise contributes significantly to advancements in engineering and robotics. 🎓🔬🤖

 

Representative Works and Awards

Dr. Shijie Wang has made significant contributions to the fields of robotics and mechanical engineering. His recent publication, Unified Recursive Kinematics and Statics Modeling (2024) in Applied Mathematical Modelling (IF 4.4), presents innovative work on high-load manipulators. Other notable publications include work on flapping-wing micro air vehicles (2023) and kinematic analysis of parallel manipulators (2022). He holds several patents, including inventions in construction robots and hydraulic manipulators. Dr. Wang has received prestigious awards, including the second prize in the 2015 China “Challenge Cup” and first prize in the 2014 3D Digital Innovative Design Competition. 🏆📚🤖

 

Research Focus

Dr. Shijie Wang’s research focuses on robotics, automation, and advanced manufacturing technologies. He explores kinematics and statics modeling of manipulators, with applications in redundantly actuated systems and functionally graded materials (FGMs). His work includes the optimization of robotic systems for construction and manufacturing, path planning strategies for 3D printing, and the modeling of dynamic mixing processes for materials fabrication. Dr. Wang is also deeply involved in machine learning applications in design and fabrication. His research has significant implications in construction robotics, material science, and robotic systems design. 🤖🔧📐📊

 

Publication Top Notes

  • Unified recursive kinematics and statics modeling of a redundantly actuated series-parallel manipulator with high load/mass ratio (2024) 🛠️
  • Process parameter modeling for the fabrication of functionally graded materials via direct ink writing (2024) 🖨️
  • Optimization of Pin Type Single Screw Mixer for Fabrication of Functionally Graded Materials (2024) 🔧
  • Numerical Simulation of a Dynamic Mixing Process of Ceramic-Grade Materials for Extruded 3D Printing (2023) 🏗️
  • Path planning strategy of functionally graded materials printed by material extrusion process (2023) 🌐
  • A Review: Applications of Machine Learning in Design-Fabrication of Functionally Graded Materials (2023) 🤖
  • Attitude Control of Flapping-Wing Micro Air Vehicles Based on Hyperbolic Tangent Function Sliding Mode Control (2023) ✈️
  • Digital prediction method for delay information for preparing FGMs parts by direct write forming (2023) ⏱️
  • Functionally graded materials model is constructed by B-spline surface and point gradient source (2022) 🧱
  • Kinematic Performance Analysis of Spatial 2-DOF Redundantly Actuated Parallel Manipulator (2022) 🔄

MD Faiyaz Ahmed | Robotics | Best Researcher Award

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Dr. MD Faiyaz Ahmed | Robotics | Best Researcher Award

Dr. MD Faiyaz Ahmed, Vignan’s Foundation for Science, Technology & Research, India

Dr. MD Faiyaz Ahmed is a Robotics expert with a Ph.D. from Motilal Nehru National Institute of Technology. His research focuses on autonomous systems, earning him accolades like the Young Scientist Award. With a background in Mechanical Engineering and Automation, he specializes in AI, Mobile Robotics, and Additive Manufacturing. Notable for his work on smart quadcopters and animatronic robotics, he’s also a reviewer for prestigious journals and holds patents in UAV technology. As an educator, he’s established advanced robotics labs and mentored students for prestigious challenges like ISRO-Robotics. 🤖🏅🔬

Publication Profile:

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Google Scholar

Education:

Dr. MD Faiyaz Ahmed embarked on his academic journey at Jaya Prakash Narayan Educational Societies College of Engineering, graduating with a first division in Mechanical Engineering in 2014. 🎓 He continued his pursuit of knowledge, earning a Master’s degree in Automation from VNR Vignana Jyothi Institute of Engineering & Technology in 2018. 📚 Building upon his expertise, he achieved a Ph.D. in Robotics from Motilal Nehru National Institute of Technology in 2023, under the guidance of Dr. J. C. Mohanta. 🤖 Throughout his educational odyssey, Dr. Ahmed consistently demonstrated excellence, culminating in a passion for research and innovation in robotics. 🌟

 

Awards:

Dr. MD Faiyaz Ahmed’s remarkable achievements span various domains, showcasing his prowess in academia and research. 🏆 His groundbreaking research on Unmanned Aerial Vehicles earned him the prestigious Young Scientist Award from G H Raisoni University. 🚁 Additionally, he was honored with a national fellowship by the Department of Science and Technology for his contributions to interdisciplinary Cyber Power systems. 🌐 Dr. Ahmed’s academic excellence was further recognized with the Best Paper Award at the EPREC-2022 conference. 📜 His proficiency in drone piloting was acknowledged with the best drone piloting certificate from BITS Pilani. 🛸 As a reviewer for esteemed journals and a mentor for ISRO-Robotics challenge, he continues to inspire and lead in the field of robotics. 🤖

 

Research Experience:

With a solid foundation in research, Dr. MD Faiyaz Ahmed has amassed valuable experience in his field. 📚 As a Junior Research Fellow (JRF) for a DST/ICPS project at MNNIT Allahabad, he dedicated two years (from July 2019 to June 2021) to advancing his knowledge and skills. 🎓 His commitment and expertise led to a promotion to the role of Senior Research Fellow (SRF) for the same project, where he continued his contributions for an additional year (from July 2021 to July 2022). 💼 Throughout these roles, Dr. Ahmed demonstrated a keen dedication to pushing the boundaries of research and innovation in his field. 🌟

Academic Experience:

Dr. MD Faiyaz Ahmed enriches the academic landscape as an Assistant Professor in Robotics and Automation at Vignan’s Foundation for Science, Technology & Research, Guntur, India. 🎓 His dedication extends beyond teaching, as he serves as the Coordinator for ABET and contributes to the Self Study Report (SSR) framework. 💼 Prior to this, he honed his teaching skills as an Assistant Professor at Aurora Technological Institute, Hyderabad. 🏫 Dr. Ahmed’s diverse expertise shines through the undergraduate and postgraduate courses he instructs, covering subjects such as Mobile Robotics, Drone Technology, and Design for Additive Manufacturing. 🤖📚

 

Research Focus:

Dr. MD Faiyaz Ahmed’s research focus revolves around advancing unmanned aerial vehicles (UAVs) and mobile robotics, evident in his extensive contributions to academia. 🚁 With a particular interest in UAV inspection systems, he has pioneered developments in smart quadcopters for overhead power transmission line inspections. 🛠️ His work encompasses deep learning algorithms for identifying transmission line insulator breakdowns and path planning for UAV navigation in various environments. 🤖 Dr. Ahmed’s expertise extends to mobile robot locomotion, trajectory tracking, and mecanum wheel-based control systems, enriching the field with innovative solutions and theoretical insights. 🌟

Publication Top Notes:

  1. Recent advances in unmanned aerial vehicles: a review – Cited by 79 (2022) 🚁
  2. Modeling and analysis of quadcopter F450 frame – Cited by 35 (2020) 🛠️
  3. Development of smart quadcopter for autonomous overhead power transmission line inspections – Cited by 17 (2022) 🔍
  4. Inspection and identification of transmission line insulator breakdown based on deep learning using aerial images – Cited by 15 (2022) 📸
  5. A theoretical review of mobile robot locomotion based on mecanum wheels – Cited by 8 (2022) 🤖
  6. Path planning approaches for mobile robot navigation in various environments: a review
  7. A robust sliding mode control of mecanum wheel-chair for trajectory tracking
  8. Path Planning of Unmanned Aerial Systems for Visual Inspection of Power Transmission Lines and Towers
  9. Fabrication and testing of quadcopter prototype for surveillance
  10. Recent Developments and Challenges in Solar Harvesting of Photovoltaic System: A Review