Giuseppe Silano | Robotics | Best Researcher Award

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Dr. Giuseppe Silano | Robotics | Best Researcher Award

Dr. Giuseppe Silano, University of Washington, United States

Dr. Giuseppe Silano, a robotics and control expert, earned his Ph.D. in Information Technologies for Engineering from the University of Sannio, Italy, with a focus on path planning, software-in-the-loop, and unmanned aerial vehicles (UAVs). He collaborated internationally as a visiting Ph.D. student at CNRS, France, and is currently a Tenure Researcher at RSE S.p.A., Milan, Italy, and an Associate Researcher at Czech Technical University. Dr. Silano’s work spans motion planning, human-robot collaboration, and multi-robot systems. An open-source contributor, he develops cutting-edge robotics solutions and publishes widely. He is also a licensed drone pilot and an active IEEE member. ✈️📡📘

 

Publication Profile

Google Scholar

Education and Academic Journey 🎓🤖

Dr. Giuseppe Silano has a distinguished academic background in engineering and robotics. He earned his Ph.D. in Information Technologies for Engineering from the University of Sannio, Italy, as a Doctor Europaeus, focusing on robotics, control, path planning, and software-in-the-loop, under the guidance of Prof. Dr. Luigi Iannelli. He enhanced his expertise as a visiting Ph.D. student at CNRS, France, researching 6DoF robots with onboard sensors, supervised by Prof. Dr. Antonio Franchi. Dr. Silano also holds an M.Sc. in Electronic Engineering (2016) and a B.Sc. in Computer Engineering (2012) from the University of Sannio, specializing in robotics and control systems. 🛠️📡

 

Professional Affiliation 🌐🤖

Dr. Giuseppe Silano has been an active member of the IEEE (Institute of Electrical and Electronics Engineers) since December 2016. Starting as a Student Member (ST’17) and advancing to Member (M’21), he is associated with the IEEE Control Systems Society (CSS) and the IEEE Robotics and Automation Society (RAS). His involvement in these professional bodies underscores his commitment to advancing research and collaboration in robotics, automation, and control systems. Dr. Silano’s affiliation with IEEE highlights his dedication to staying at the forefront of technological innovation and contributing to the global engineering community. 📡📘

 

Professional Experience 💼👨‍💻

Dr. Giuseppe Silano has amassed a decade of experience across various technical roles. From 2014 to 2024, he worked as a Technical Writer for leading Italian platforms, including Win Magazine and EOS Book. In 2016, as a Junior Software Engineer at Software Engine S.r.l., he specialized in front-end web development, database management, and debugging, completing key projects like a document management system for Mirabella Eclano, Italy. Earlier, in 2012, as a Control System Integrator at Mosaico Monitoraggio Integrato S.r.l., he designed industrial automation systems, including soda autoclave storage and turbine blade leaching processes, adhering to safety requirements. 📜⚙️

 

Research Activities 🤖📚

Dr. Giuseppe Silano’s research spans robotics, control, and UAV systems. He developed motion-planning algorithms for multi-robot systems in civilian infrastructure inspections, emphasizing obstacle avoidance and UAV constraints within the Aerial-Core project. His work on communication-aware robotics enhances robust wireless connectivity for UAVs in challenging environments. Dr. Silano advanced Model Predictive Control (MPC) strategies for collision avoidance and target tracking, and decentralized swarm navigation in UAVs. His studies in autonomous vehicles include MPC-based control for small-scale racing cars. Additionally, he explored human-aerial robot interaction to assist humans in critical tasks while prioritizing safety and ergonomics, contributing extensively to UAV software and simulators. 🚁💻

 

Teaching and Mentorship Experience 🎓📚

Dr. Giuseppe Silano has an extensive teaching background, including leading PhD courses such as “Fundamentals for Robot Programming with ROS” (University of Sannio, 2024). He served as a Teaching Assistant for courses like “Discrete Systems,” “Automatic Control,” and “Advanced Controls” in Computer and Electronics Engineering programs. As a Subject Matter Expert, he contributed to topics like “Sistemi Discreti” and “Controlli Automatici.” Dr. Silano co-supervised innovative research projects under MIT programs and guided numerous Bachelor’s and Master’s theses on UAVs, control systems, and robotics. His mentorship showcases his dedication to fostering technical and academic excellence. ✈️🤖

 

Awards and Achievements 🏆🤖

Dr. Giuseppe Silano has been recognized in prestigious international robotics competitions. He was part of the UNISANNIO team that won the “MathWorks Minidrone Competition” at IFAC 2020 in Berlin, Germany. Additionally, he contributed to the LAAS team, finalists in the “Mohamed Bin Zayed International Robotics Challenge (MBZIRC)” held in Abu Dhabi, UAE. Dr. Silano also showcased his expertise as a finalist in the “Aerial Robotics Control and Perception Challenge” during the 26th Mediterranean Conference on Control and Automation in Zagreb, Croatia. His accolades highlight his excellence in robotics and control systems. 🌍✈️

 

Research Focus

Dr. Giuseppe Silano specializes in robotics, with a focus on unmanned aerial vehicles (UAVs) for precision agriculture, power line inspections, and multi-robot systems. His work integrates advanced path-planning algorithms, software-in-the-loop platforms, and signal temporal logic for mission planning. Key areas include collision avoidance, perception-aware navigation, and real-world deployment of aerial robotics. Dr. Silano’s contributions extend to drone swarm coordination, non-linear model predictive control, and autonomous target tracking. His research advances UAV applications in environmental monitoring, communication-aware robotics, and physical security optimization, positioning him at the forefront of aerial robotics innovation. 🌱⚡🚁

 

Publication Top Notes

  • 🌾 “A review on the use of drones for precision agriculture” – Cited by: 212 – Year: 2019
  • 🚁 “A survey on the application of path-planning algorithms for multi-rotor UAVs in precision agriculture” – Cited by: 66 – Year: 2022
  • ⚡ “Power line inspection tasks with multi-aerial robot systems via signal temporal logic specifications” – Cited by: 60 – Year: 2021
  • 🛠️ “CrazyS: a software-in-the-loop platform for the Crazyflie 2.0 nano-quadcopter” – Cited by: 50 – Year: 2018
  • 🚀 “MRS Modular UAV Hardware Platforms for Supporting Research in Real-World Outdoor and Indoor Environments” – Cited by: 42 – Year: 2022
  • ✈️ “Software-in-the-loop simulation for improving flight control system design: a quadrotor case study” – Cited by: 37 – Year: 2019
  • 🤖 “MRS Drone: A Modular Platform for Real-World Deployment of Aerial Multi-Robot Systems” – Cited by: 33 – Year: 2023
  • 🔧 “CrazyS: A Software-in-the-Loop Simulation Platform for the Crazyflie 2.0 Nano-Quadcopter” – Cited by: 29 – Year: 2019
  • 🔌 “A Multi-Layer Software Architecture for Aerial Cognitive Multi-Robot Systems in Power Line Inspection Tasks” – Cited by: 18 – Year: 2021
  • 📋 “Mission Planning and Execution in Heterogeneous Teams of Aerial Robots supporting Power Line Inspection Operations” – Cited by: 17 – Year: 2022

 

 

 

 

 

 

 

 

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.