Azamat Yeshmukhametov | Robotics | Young Scientist Award

Azamat Yeshmukhametov | Robotics | Young Scientist Award

Dr. Azamat Yeshmukhametov, Nazarbayev University, Kazakhstan.

Publication profile

Orcid
Scopus
Googlescholar

Education and Experience

  • Bachelorย | Kazakh National Technical University (2008โ€“2012)ย ๐Ÿ“ย Almaty, Kazakhstan
  • Pre-master Foundationย | Newcastle University (2013โ€“2014)ย ๐Ÿ“ย Newcastle, UK
  • Masterย | Tokai University (2014โ€“2016)ย ๐Ÿ“ย Hiratsuka, Japan
  • Ph.D.ย | Tokai University (2017โ€“2020)ย ๐Ÿ“ย Hiratsuka, Japan
  • Dual Ph.D. Programย | Satbayev University (2017โ€“2020)ย ๐Ÿ“ย Almaty, Kazakhstan
  • Research Assistantย | Kazakh National Technical University (2012)ย ๐Ÿ“ย Almaty, Kazakhstan
  • Technicianย | Amazon.jp (2016)ย ๐Ÿ“ย Odawara, Japan
  • Lecturerย | Satbayev University (2016โ€“2017)ย ๐Ÿ“ย Almaty, Kazakhstan
  • Teacher Assistantย | Tokai University (2019โ€“2020)ย ๐Ÿ“ย Hiratsuka, Japan
  • Associate Professorย | Satbayev University (2020โ€“2021)ย ๐Ÿ“ย Almaty, Kazakhstan

Suitability For The Award

Dr. Azamat Yeshmukhametov, a Ph.D. and Doctor of Engineering, demonstrates a high level of expertise in robotics, sensor integration, and AI-driven systems, making him an outstanding candidate for a Young Scientist Award. His interdisciplinary research experience, academic background, and contributions to social and scientific outreach exemplify the qualities of a promising scientist. His projects focus on impactful applications in robotics and sensor technology, with specific emphasis on tensegrity robots, in-pipe inspection robots with AI capabilities, and triboelectric sensor integration, all of which address critical technological and engineering challenges.

Professional Developmentย 

Awards and Honors

  • PIย | Multilayer Tensegrity Robot Project (Grant No. AP19574394, 2023-2025)ย ๐Ÿ’ฐ
  • PIย | AI-Based In-Pipe Robot Inspection (Grant No. AP19679380, 2023-2025)ย ๐Ÿ”
  • Co-PIย | Smart Robotic Grippers with Triboelectric Sensors (FDCRPG, 2023-2025)ย โœ‹
  • Co-PIย | Integration of Triboelectric MEMS Sensors (MHES, 2024-2026)ย ๐Ÿ“

Publications

  • Smart Pipe Inspection Robot with In-Chassis Motor Actuation Design and Integrated AI-Powered Defect Detection Systemย |ย IEEE Access, 2024 |ย ๐Ÿ“œย Cited by: 0
  • Design of a Fully Pulley-Guided Wire-Driven Prismatic Tensegrity Robot: Friction Impact to Robot Payload Capacityย |ย IEEE Robotics and Automation Letters, 2023 |ย ๐Ÿ“œย Cited by: 1
  • A Simplified Kinematics and Kinetics Formulation for Prismatic Tensegrity Robots: Simulation and Experimentsย |ย Robotics, 2023 |ย ๐Ÿ“œย Cited by: 3
  • Development of Mobile Robot with Autonomous Mobile Robot Weeding and Weed Recognition by Using Computer Visionย |ย ICCAS, 2023 |ย ๐Ÿ“œย Cited by: 2
  • Design and Development of an In-Pipe Mobile Robot for Pipeline Inspection with AI Defect Detection Systemย |ย ICCAS, 2023 |ย ๐Ÿ“œย Cited by: 1
  • Stiffness and Vibration Resistance Analysis of Isotropic Stewart Platform (ISP) and Common Stewart Platform (CSP)ย |ย ICCAS, 2023 |ย ๐Ÿ“œย Cited by: 0
  • Six-bar Pulley-Guided Node Based Prismatic Tensegrity Robot Form-finding Analysis and Experimentย |ย AIM, 2023 |ย ๐Ÿ“œย Cited by: 0
  • Development of Continuum Robot Arm and Gripper for Harvesting Cherry Tomatoesย |ย Applied Sciences (Switzerland), 2022 |ย ๐Ÿ“œย Cited by: 20

 

Moh ShahidKhan | Robotics | Best Researcher Award

Moh ShahidKhan | Robotics | Best Researcher Award

Mr. Moh ShahidKhan, Maulana Azad National Institute of Technology (MANIT), Bhopal , India.

Mr.Moh Shahid Khan is a passionate Ph.D. research scholar in robotics at Maulana Azad National Institute of Technology (MANIT), Bhopal, India, where he has been working since January 2021. His research focuses on gait analysis and the design of adaptive PID controllers for biped robots. With over four years of teaching experience and expertise in 3D printing, robotics, and mechanical engineering, he has contributed to numerous publications and collaborative projects. Additionally, he is skilled in graphic design and social media coordination, earning recognition for his multitasking abilities.ย ๐Ÿค–๐ŸŽ“๐Ÿ“š

Publication Profile

 

Suitability Of The Award

Moh Shahid Khan’s comprehensive and multidisciplinary research experience positions him as a strong candidate for the Best Researcher Award. His extensive work in robotics, specifically on the gait analysis and design of adaptive PID controllers for biped robots, demonstrates a high level of expertise and innovation.

Educationย ๐ŸŽ“

๐ŸŽ“ย Doctor of Philosophyย (PhD in Robotics, expected Oct. 2024) – Maulana Azad National Institute of Technology (MANIT), Bhopal, India. Thesis: Gait Analysis and Design of Adaptive PID Controllers for The Biped Robot While Crossing Complex Terrains.

๐ŸŽ“ย Master of Technologyย (Thermal Engineering, 77.10%) – TITR, RGPV University, Bhopal, India, Feb. 2020.

๐ŸŽ“ย Bachelor of Engineeringย (Mechanical Engineering, 66.47%) – SRIST, RGPV University, Bhopal, India, Jun. 2011.

๐ŸŽ“ย Diplomaย (Mechanical Engineering, 69.30%) – Government Polytechnic College Shahdol, RGPV University, Bhopal, India, Aug. 2008.

๐Ÿ“˜ย High Schoolย (Mathematics & Science, 73.00%) – Madhya Pradesh Board of Secondary Education, Jun. 2005.

 

Experienceย ๐Ÿ’ผ

๐Ÿ’ปย PhD Research Scholarย (Mechanical Engineering), Maulana Azad National Institute of Technology (MANIT), Bhopal, India, Jan. 2021 โ€“ Jul. 2024

  • Developed and tested a 16-DOF biped robot ‘AZAD-16’ for complex terrains.
  • Designed and implemented adaptive PID controllers using MATLAB and SolidWorks.
  • Published several papers in high-impact journals.

๐Ÿ‘จโ€๐Ÿซย Assistant Professorย (Mechanical Engineering), Sagar Institute of Science and Technology (SISTec), Bhopal, India, Aug. 2018 โ€“ Dec. 2020

  • Managed NBA accreditation and departmental social media, receiving the Best Social Media Coordinator award.
  • Served as Deputy Exam Superintendent and led digital archiving.

๐Ÿ“šย Guest Facultyย (Mechanical Engineering), Government Engineering College (GEC), Rewa, India, Aug. 2013 โ€“ Dec. 2014

  • Taught mechanical engineering subjects to undergraduate students.

๐Ÿ‘จโ€๐Ÿซย Assistant Professorย (Mechanical Engineering), ABES IT Group of Institutions, Ghaziabad, India, Jul. 2012 โ€“ Oct. 2012

  • Delivered comprehensive curricula to undergraduate students across diverse branches.

 

Professional Development

๐Ÿ”ฌย Collaborative Research Engagement

  • Interdisciplinary Projects:ย Guided PhD scholars on biped robot dynamics, MATLAB to Python code translation, and integrated IoT and computer vision for ZMP measurement.
  • Soft Robotics:ย Contributed to 3D-printed sample testing and mathematical modeling for tensile, compression, and torsion tests.

๐Ÿ› ๏ธย Technological Influence

  • 3D Printing:ย Advised on 3D printer acquisition and training, enhancing technological capabilities in research labs.

๐ŸŽ“ย Mentorship and Guidance

  • Provided support in research article drafting, graphic design, and technical troubleshooting to colleagues and scholars.

๐Ÿ”ย Reviewer

  • Reviewed articles for journals like Journal of Mechanical Science and Technology, Flow Measurement and Instrumentation, and conferences such as MIND-2022.

Research Focus

Mr.Moh Shahid Khan’s research is centered on robotics, particularly the design and control ofย biped robots. His work includesย gait analysis,ย adaptive PID controllers, andย 3D modelingย of humanoid robots for diverse terrains. He also exploresย trajectory generationย andย motion planningย using advanced algorithms. Another significant area of his research isย 3D printing, focusing on designing and testing various materials for structural applications. His interdisciplinary approach includes integratingย Neural Networksย andย Fuzzy Logicย to enhance robot adaptability in real-time environments. His contributions significantly advance both theoretical and practical aspects of robotics.ย ๐Ÿค–๐Ÿ”ง

Publicationsย ๐Ÿ“š๐Ÿ“

  • Optimizing PID Control for Enhanced Stability of a 16โ€DOF Biped Robot During Ditch Crossingย (2024)ย ๐Ÿ› ๏ธ,ย Cited by:ย 0
  • Design of Dynamically Balanced Gait for the Biped Robot While Crossing the Obstacleย (2024)ย ๐Ÿค–,ย Cited by:ย 0
  • Erratum: A Review on Gait Generation of the Biped Robot on Various Terrainsย (2023)ย ๐Ÿ”„,ย Cited by:ย 1
  • A Review on Gait Generation of the Biped Robot on Various Terrainsย (2023)ย ๐Ÿ‘ฃ,ย Cited by:ย 3
  • A Review on Sliding Mode Controller in Real-Time Applicationsย (2022)ย ๐Ÿ•น๏ธ,ย Cited by:ย 0
  • Estimation of Dynamic Balancing Margin of the 10-DOF Biped Robot by Using Polynomial Trajectoriesย (2022)ย ๐Ÿ“ˆ,ย Cited by:ย 0

Conclusion

Moh Shahid Khan’s impressive research achievements, extensive publication record, and active engagement in both professional and educational roles make him an exemplary candidate for the Best Researcher Award. His contributions to robotics research, innovative problem-solving abilities, and dedication to advancing the field through both research and mentorship highlight his suitability for this prestigious recognition.