Assist. Prof. Dr. Tayfun Abut | Robotics | Best Researcher Award

Published on 12/03/202512/03/2025 by Composite Awards

Assist. Prof. Dr. Tayfun Abut | Robotics | Best Researcher Award

Assist. Prof. Dr. Tayfun Abut , Mus Alparslan University , Turkey.

Dr. Tayfun Abut is an Assistant Professor in the Department of Mechanical Engineering at Muş Alparslan University. He earned his Ph.D. in Mechanical Engineering from Fırat University in 2022, focusing on AI-based control methods for haptic-teleoperation robotic systems. His research expertise spans machine theory, system dynamics, and control. With prior experience as a research assistant at both Fırat and Muş Alparslan universities, Dr. Abut has contributed significantly to robotics, automation, and intelligent control systems. His academic career is dedicated to enhancing teleoperation technologies and system stability through innovative artificial intelligence techniques.

Publication Profile

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Education & Experience 🎓🔬

📌 Education:

Ph.D. in Mechanical Engineering (2022) – Fırat University 🏛️
- Thesis: Enhancing Stability & Transparency in Bilateral Haptic-Teleoperation Robotic Systems using AI Control Methods 🤖
Master’s in Mechanical Engineering (2015) – Fırat University 🎓
- Thesis: Teleoperation and System Dynamics with a Six-DOF Haptic Robot 🔧
Bachelor’s in Mechanical Engineering (2012) – Fırat University ⚙️

📌 Academic Experience:

Assistant Professor (Since 2022) – Muş Alparslan University 🏫
Research Assistant (2021-2022) – Muş Alparslan University 📚
Research Assistant (2017-2021) – Fırat University 🛠️

Summary Suitability

Dr. Tayfun Abut, an Assistant Professor at Muş Alparslan University, is an accomplished researcher in mechanical engineering, robotics, and intelligent control systems. His expertise in haptic-teleoperation, vehicle suspension optimization, and adaptive control strategies has led to significant advancements in both theoretical and applied research. He has developed innovative fuzzy logic, LQR, and AI-based control methods that enhance the stability, transparency, and efficiency of robotic and automotive systems. His numerous high-impact publications demonstrate his commitment to pioneering research in system dynamics and control. Dr. Abut’s contributions make him highly suitable for the Best Researcher Award, recognizing his excellence in engineering and innovation. 🚀🔬

Professional Development 📈📚

Dr. Tayfun Abut has actively contributed to the field of mechanical engineering, specializing in haptic robotics, system dynamics, and artificial intelligence-driven control mechanisms. 🤖 His academic journey has been enriched by interdisciplinary collaborations, technical workshops, and continuous research in automation and teleoperation systems. 🚀 He has supervised research projects, published scientific papers, and participated in industry-academic partnerships. 🏭 His work aims to integrate AI and robotics for enhancing real-time remote control applications. 💡 As a passionate educator, he continues to mentor students and researchers, bridging the gap between theoretical knowledge and practical implementations. 🎯

Research Focus 🔬🤖

Dr. Tayfun Abut’s research centers around haptic robotics, AI-based control systems, and teleoperation technology. 🚀 His work involves designing intelligent robotic systems with improved stability, transparency, and control efficiency for remote operations. ⚙️ He explores machine dynamics, sensor-based automation, and neural networks in robotics. 🤖 His studies contribute to enhanced human-machine interaction, medical robotics, and industrial automation. 🏭 Additionally, his expertise extends to mechanical system modeling, dynamic simulations, and real-time feedback mechanisms. 📊 By integrating AI, he aims to revolutionize robotic precision, stability, and user experience in teleoperation systems. 🎯

Awards & Honors 🏆🎖️

🏅 Recognized for outstanding research contributions in AI-based robotic control 🤖
🏅 Best Thesis Award (Ph.D.), Fırat University 🏛️
🏅 Published multiple high-impact research papers in mechanical engineering journals 📜
🏅 Recognized for excellence in teaching and mentoring students 👨‍🏫
🏅 Recipient of university research grants for AI and robotics innovation 💡

Publications Top Notes

1️⃣ “Control of Quarter-Car Active Suspension System Based on Optimized Fuzzy Linear Quadratic Regulator Control Method” 🚗📊

Author(s): Tayfun Abut, Enver Salkim
Published: 2023
Journal: Applied Sciences (Switzerland)
DOI: 10.3390/app13158802
Citations: 16

2️⃣ “Optimal LQR Controller Methods for Double Inverted Pendulum System on a Cart” ⚖️🤖

Author(s): Tayfun Abut
Published: 2023-06-17
Journal: DÜMF Mühendislik Dergisi
DOI: 10.24012/dumf.1253331

3️⃣ “Optimal Adaptive Computed Torque Control for Haptic-Teleoperation System with Uncertain Dynamics” 🖥️🔧

Author(s): Tayfun Abut
Published: 2022
Journal: Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering
DOI: 10.1177/09596518211048035

4️⃣ “Two-Loop Controller Design and Implementations for an Inverted Pendulum System with Optimal Self-Adaptive Fuzzy-Proportional–Integral–Derivative Control” 🎛️⚙️

Author(s): Tayfun Abut
Published: 2022
Journal: Transactions of the Institute of Measurement and Control
DOI: 10.1177/01423312211040301

Conclusion

Dr. Abut’s groundbreaking research, innovative methodologies, and contributions to robotics, intelligent control, and mechanical engineering make him an outstanding candidate for the Best Researcher Award. His work not only advances theoretical knowledge but also offers practical applications in automotive systems, robotics, and industrial automation, positioning him among the top experts in his field. 🚀

Moh ShahidKhan | Robotics | Best Researcher Award

Published on 02/09/202403/09/2024 by Composite Awards

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.

Publication Profile

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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.

Education

Doctor of Philosophy (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.

Master of Technology (Thermal Engineering, 77.10%) – TITR, RGPV University, Bhopal, India, Feb. 2020.

Bachelor of Engineering (Mechanical Engineering, 66.47%) – SRIST, RGPV University, Bhopal, India, Jun. 2011.

Diploma (Mechanical Engineering, 69.30%) – Government Polytechnic College Shahdol, RGPV University, Bhopal, India, Aug. 2008.

High School (Mathematics & Science, 73.00%) – Madhya Pradesh Board of Secondary Education, Jun. 2005.

Experience

PhD Research Scholar (Mechanical Engineering), Maulana Azad National Institute of Technology (MANIT), Bhopal, India, Jan. 2021 – 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.

👨‍🏫 Assistant Professor (Mechanical Engineering), Sagar Institute of Science and Technology (SISTec), Bhopal, India, Aug. 2018 – 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.

Guest Faculty (Mechanical Engineering), Government Engineering College (GEC), Rewa, India, Aug. 2013 – Dec. 2014

Taught mechanical engineering subjects to undergraduate students.

👨‍🏫 Assistant Professor (Mechanical Engineering), ABES IT Group of Institutions, Ghaziabad, India, Jul. 2012 – Oct. 2012

Delivered comprehensive curricula to undergraduate students across diverse branches.

Professional Development

Collaborative Research Engagement

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

Technological Influence

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

Mentorship and Guidance

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

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 of biped robots. His work includes gait analysis, adaptive PID controllers, and 3D modeling of humanoid robots for diverse terrains. He also explores trajectory generation and motion planning using advanced algorithms. Another significant area of his research is 3D printing, focusing on designing and testing various materials for structural applications. His interdisciplinary approach includes integrating Neural Networks and Fuzzy Logic to enhance robot adaptability in real-time environments. His contributions significantly advance both theoretical and practical aspects of robotics.

Publications

Optimizing PID Control for Enhanced Stability of a 16‐DOF Biped Robot During Ditch Crossing (2024) , Cited by: 0
Design of Dynamically Balanced Gait for the Biped Robot While Crossing the Obstacle (2024) , Cited by: 0
Erratum: A Review on Gait Generation of the Biped Robot on Various Terrains (2023) , Cited by: 1
A Review on Gait Generation of the Biped Robot on Various Terrains (2023) , Cited by: 3
A Review on Sliding Mode Controller in Real-Time Applications (2022) , Cited by: 0
Estimation of Dynamic Balancing Margin of the 10-DOF Biped Robot by Using Polynomial Trajectories (2022) , Cited by: 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.