Sivayazi Kappagantula | Autonomous intelligent systems | Best Researcher Award

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Mr. Sivayazi Kappagantula | Autonomous intelligent systems | Best Researcher Award

Mr. Sivayazi Kappagantula, MIT Manipal, India

Dr. Sivayazi Kappagantula is an accomplished Roboticist, experienced in Software, Defense, and Aerospace industries. With expertise in ROS, Python, and SolidWorks, he has excelled in teaching and research roles, notably at Manipal Institute of Technology and Defence Institute of Advanced Technology. His doctoral focus at Vellore Institute of Technology delves into autonomous robotics and reinforcement learning. Dr. Kappagantula’s contributions include designing biomimetic robots and pioneering motion planning algorithms for unmanned vehicles. Recognized for his patents and publications, he continues to shape the field through workshops, conferences, and guided student projects. ๐Ÿค–๐Ÿ“š

 

Publication Profile

Google Scholar

๐Ÿ“š Education

Undertaking doctoral studies at Vellore Institute of Technology, Sivayazi delves into the complexities of motion planning in autonomous robotics, focusing on reinforcement learning and path planning. His master’s thesis explored the control algorithm of a biomimetic robot fish for underwater exploration.

Professional Experience

Sivayazi Kappagantula boasts a rich background in Robotics, having contributed significantly across various sectors including academia, defense, and software industries. Currently serving as an Assistant Professor at Manipal Institute of Technology, Udupi, he supervises academic projects, publishes papers, and conducts robotics lab sessions.

Research Focus

Sivayazi Kappagantula’s research primarily centers around robotics and autonomous systems, with a particular emphasis on developing innovative solutions for obstacle avoidance, navigation, and control in various domains. His work spans diverse applications, including unmanned aerial vehicles (UAVs), biomimetic robot fish, and sea surface vehicles. By leveraging advanced techniques such as fuzzy logic algorithms and reinforcement learning, he aims to enhance the autonomy, efficiency, and adaptability of robotic systems. Through his contributions, Sivayazi endeavors to advance the field of robotics and address real-world challenges in areas like defense, agriculture, and environmental monitoring. ๐ŸŒ

 

Publication Top Notes

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. ๐Ÿค–๐Ÿ…๐Ÿ”ฌ

Publication Profile:

Scopus

Orcid

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. ๐ŸŽ“ He continued his pursuit of knowledge, earning a Master’s degree in Automation from VNR Vignana Jyothi Institute of Engineering & Technology in 2018. ๐Ÿ“š 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. ๐Ÿค– Throughout his educational odyssey, Dr. Ahmed consistently demonstrated excellence, culminating in a passion for research and innovation in robotics. ๐ŸŒŸ

 

Awards:

Dr. MD Faiyaz Ahmed’s remarkable achievements span various domains, showcasing his prowess in academia and research. ๐Ÿ† His groundbreaking research on Unmanned Aerial Vehicles earned him the prestigious Young Scientist Award from G H Raisoni University. ๐Ÿš Additionally, he was honored with a national fellowship by the Department of Science and Technology for his contributions to interdisciplinary Cyber Power systems. ๐ŸŒ Dr. Ahmed’s academic excellence was further recognized with the Best Paper Award at the EPREC-2022 conference. ๐Ÿ“œ His proficiency in drone piloting was acknowledged with the best drone piloting certificate from BITS Pilani. ๐Ÿ›ธ As a reviewer for esteemed journals and a mentor for ISRO-Robotics challenge, he continues to inspire and lead in the field of robotics. ๐Ÿค–

 

Research Experience:

With a solid foundation in research, Dr. MD Faiyaz Ahmed has amassed valuable experience in his field. ๐Ÿ“š 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. ๐ŸŽ“ 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). ๐Ÿ’ผ Throughout these roles, Dr. Ahmed demonstrated a keen dedication to pushing the boundaries of research and innovation in his field. ๐ŸŒŸ

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. ๐ŸŽ“ His dedication extends beyond teaching, as he serves as the Coordinator for ABET and contributes to the Self Study Report (SSR) framework. ๐Ÿ’ผ Prior to this, he honed his teaching skills as an Assistant Professor at Aurora Technological Institute, Hyderabad. ๐Ÿซ 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. ๐Ÿค–๐Ÿ“š

 

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. ๐Ÿš With a particular interest in UAV inspection systems, he has pioneered developments in smart quadcopters for overhead power transmission line inspections. ๐Ÿ› ๏ธ His work encompasses deep learning algorithms for identifying transmission line insulator breakdowns and path planning for UAV navigation in various environments. ๐Ÿค– 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. ๐ŸŒŸ

Publication Top Notes:

  1. Recent advances in unmanned aerial vehicles: a review – Cited by 79 (2022) ๐Ÿš
  2. Modeling and analysis of quadcopter F450 frame – Cited by 35 (2020) ๐Ÿ› ๏ธ
  3. Development of smart quadcopter for autonomous overhead power transmission line inspections – Cited by 17 (2022) ๐Ÿ”
  4. Inspection and identification of transmission line insulator breakdown based on deep learning using aerial images – Cited by 15 (2022) ๐Ÿ“ธ
  5. A theoretical review of mobile robot locomotion based on mecanum wheels – Cited by 8 (2022) ๐Ÿค–
  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