Moh Shahid Khan | Robotics | Best Researcher Award

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Mr. Moh Shahid Khan | Robotics | Best Researcher Award

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

Mr. Moh Shahid Khan appears to be a strong candidate for the Best Researcher Award. Here are some key reasons supporting his suitability:

Publication profile

Research Focus and Contributions:

Mr. Khan’s PhD research in robotics, specifically on gait analysis and the design of adaptive PID controllers for biped robots on complex terrains, is both innovative and impactful. His work involves the use of advanced techniques like neural networks and fuzzy logic, which demonstrates his expertise in robotics and control systems.

Publications:

He has authored several papers published in reputable SCI journals, including articles in Robotica and the Journal of Field Robotics. These publications highlight his research’s quality and his contribution to advancing the field of robotics.

Interdisciplinary Collaboration:

 His collaborative work with colleagues from computer science and other fields indicates his ability to work across disciplines, which is valuable for addressing complex research problems.

Technological Impact:

 His involvement in the design, 3D modeling, and printing of biped robots, along with his advisory role in acquiring new technological equipment for research labs, underscores his hands-on approach and technological leadership.

Mentorship and Teaching:

With over four years of teaching experience, Mr. Khan has demonstrated a commitment to education and mentorship, supervising student projects and helping colleagues with their research. This indicates his contribution to knowledge dissemination and academic growth.

Recognition and Awards:

 His consistent recognition for excellence in teaching, social media coordination, and research further solidifies his credentials as a well-rounded academic and researcher.

Publication Top Notes

  • 📚 A review on gait generation of the biped robot on various terrains – MS Khan, RK Mandava, Robotica 41 (6), 1888-1930, Cited by: 13, 2023
  • 🌍 Poverty rises: Monga drives poor to city – M Khan, Star Weekend Magazine, Dhaka: The Daily Star 3, Cited by: 5, 2004
  • 🔥 THERMAL ANALYSIS OF CORRUGATED PLATE HEAT EXCHANGER BY USING ANSYS SOFTWARE THROUGH FEA METHOD – MS Khan, A Singhai, 2019, Cited by: 1, 2019
  • 🚶 Design of dynamically balanced gait for the biped robot while crossing the obstacle – MS Khan, RK Mandava, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of …, 2024
  • 🔄 A review on gait generation of the biped robot on various terrains–CORRIGENDUM – MS Khan, RK Mandava, Robotica 41 (10), 3233-3233,  2023
  • 🚧 Design of Dynamically Balanced Gait for the Biped Robot While Crossing the Ditch – MS Khan, RK Mandava, Acta Polytechnica Hungarica 20 (7), 2023
  • 📈 Estimation of Dynamic Balancing Margin of the 10-DOF Biped Robot by Using Polynomial Trajectories – MS Khan, RK Mandava, International Conference on Machine Learning, Image Processing, Network …, , 2022
  • 🛠️ A Review on Sliding Mode Controller in Real-Time Applications – M Tomar, MS Khan, RK Mandava, DG Babu, 2022 IEEE International Students’ Conference on Electrical, Electronics and …, 2022
  • 🌡️ A REVIEW ON IMPROVEMENT OF HEAT TRANSFER RATE BY PASSIVE METHODS – MS Khan, A Singhai, 2019
  • 📄 2015 NS-AUA Abstracts – A Hussein, A Khan, S Raza, T Fiorica, P Dsagupta, M Khan, K Ahmed, … Canadian Urological Association Journal= Journal de L’association des …,, 2015


Conclusion

Mr. Khan’s blend of technical expertise, research contributions, collaboration, and teaching makes him a deserving candidate for the Best Researcher Award.

Inam Ullah | Robotics Award | Young Scientist Award

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Prof Dr. Inam Ullah | Robotics Award | Young Scientist Award

Prof Dr. Inam Ullah, Shenzhen University, China

Based on the details provided, the candidate seems well-suited for the Research for Young Scientist Award. Here’s an evaluation of their profile, formatted with headings and conclusions for each section:

Publication profile

Professional Experience

The candidate has a robust professional background in research and academia. Their current role as an Assistant Professor at Gachon University, combined with recent postdoctoral research and consulting experience, showcases a strong blend of teaching, research, and industry application. This varied experience aligns well with the criteria for a Young Scientist Award, highlighting their capability in contributing to cutting-edge research and practical solutions.

Education

With a PhD in Information & Communication Engineering from Hohai University, the candidate has demonstrated excellence in their academic pursuits. Their research on mobile robot localization and underwater localization algorithms reflects a high level of expertise in advanced technological areas relevant to the award.

Research Interests

The candidate’s diverse research interests, including IoT, robotics, and AI, align with current trends in science and technology. Their focus on cutting-edge areas such as autonomous vehicles, network security, and machine learning showcases their commitment to advancing knowledge in these fields.

Citations and Impact

With an impressive cumulative impact factor of 268.20 and substantial Google Scholar citations, the candidate’s research output has significantly influenced their field. Their h-index of 28 and i10-index of 51 further attest to the high quality and impact of their work.

Awards, Funding, and Honors

The candidate has received multiple prestigious awards, including the Top-10 Outstanding Students Award and the Jiangsu Province Distinguish International Students Award. These recognitions, along with their consistent academic performance, highlight their exceptional achievements.

Other Experience and Projects

The candidate’s experience in supervising projects, teaching, and developing instructional methodologies showcases their commitment to education and research. Their involvement in student supervision and research activities further highlights their capability to contribute to both academic and practical advancements.

Publication Top Notes

  • A Review of Underwater Localization Techniques, Algorithms, and Challenges – S Xin, U Inam, L Xiaofeng, C Dongmin, Journal of Sensors 2020, 24 – Cited by 162 📘 (2020)
  • A Localization Based on Unscented Kalman Filter and Particle Filter Localization Algorithms – I Ullah, Y Shen, X Su, C Esposito, C Choi, IEEE Access 8, 2233-2246 – Cited by 147 🔍 (2019)
  • Motor Imagery EEG Signals Decoding by Multivariate Empirical Wavelet Transform-Based Framework for Robust Brain–Computer Interfaces – MT Sadiq, X Yu, Z Yuan, F Zeming, AU Rehman, I Ullah, G Li, G Xiao, IEEE Access 7, 171431-171451 – Cited by 145 🧠 (2019)
  • Localization and Detection of Targets in Underwater Wireless Sensor Using Distance and Angle Based Algorithms – I Ullah, J Chen, X Su, C Esposito, C Choi, IEEE Access 7, 45693-45704 – Cited by 132 🌊 (2019)
  • Deep Learning in Cancer Diagnosis and Prognosis Prediction: A Minireview on Challenges, Recent Trends, and Future Directions – T Ahsan B, M Y-K, K M K. A, M F, J AR, U Inam, K Rahim, Computational and Mathematical Methods in Medicine 2021, 28 – Cited by 99 📈 (2021)
  • Student-Performulator: Student Academic Performance Using Hybrid Deep Neural Network – BK Yousafzai, SA Khan, T Rahman, I Khan, I Ullah, A Ur Rehman, M Baz, Sustainability 13 (17), 9775 – Cited by 86 🎓 (2021)
  • A Multi-Layer Cluster Based Energy Efficient Routing Scheme for UWSNs – W Khan, H Wang, MS Anwar, M Ayaz, S Ahmad, I Ullah, IEEE Access 7, 77398-77410 – Cited by 79 🔋 (2019)
  • Analysis of Challenges and Solutions of IoT in Smart Grids Using AI and Machine Learning Techniques: A Review – M Tehseen, I Hafiz Muhammad, H Inayatul, U Inam, A Madiha, Electronics 12 (1), 26 – Cited by 74 💡 (2023)
  • Efficient and Accurate Target Localization in Underwater Environment – I Ullah, Y Liu, X Su, P Kim, IEEE Access 7, 101415-101426 – Cited by 72 🛰️ (2019)
  • Analysis of Cyber Security Attacks and Its Solutions for the Smart Grid Using Machine Learning and Blockchain Methods – M Tehseen, I Hafiz Muhammad, K Sunawar, H Inayatul, U Inam, Future Internet 15 (83), 1-38 – Cited by 67 🔐 (2023)

Conclusion

Overall, the candidate’s comprehensive experience, strong educational background, significant research contributions, and recognition in their field make them a highly suitable candidate for the Research for Young Scientist Award.

 

 

 

 

 

 

 

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. 🤖📚

 

Publication Profile

Google Scholar

📚 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. 🌐

 

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. 🤖🏅🔬

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. 🎓 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