Alex Ramirez-Serrano | Automation | Best Researcher Award

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Dr. Alex Ramirez-Serrano | Automation | Best Researcher Award

Orcid Profile

Educational Details

2001-2002: Post-Doctoral Fellow, Nuclear Technology Division, Argonne National Lab-West, USA
Focused on control and fault diagnosis solutions for robotics and autonomous systems in nuclear energy and automation.

1997-2000: Ph.D., Mechanical Engineering, University of Toronto, Canada
Dissertation: Extended Moore Automata for supervisory part-flow control of virtual manufacturing workcells using robotic systems.

1994-1996: M.Sc., Computer Science (Artificial Intelligence), ITESM, Mexico
Thesis: Autonomous navigation of mobile robots using fuzzy logic. Graduated with honors.

1992-1993: M.Sc., Mechanical and Aerospace Engineering, Illinois Institute of Technology, USA
Thesis: Neural network prediction of the flow field over unsteady airfoils.

1988-1992: Bachelor of Engineering, Mechanical Engineering, Universidad Autónoma Metropolitana, Mexico
Thesis: Design of a novel hydraulic motor for resilient robot manipulators.

Professional Experience

Dr. Alex Ramirez-Serrano is a prominent figure in the field of mechanical engineering, currently serving as a tenured Professor in the Department of Mechanical Engineering at the University of Calgary since 2013. He has previously held the position of Associate Professor at the same institution from 2007 to 2013. In addition to his academic responsibilities, he is the Founder and CEO of 4Front Robotics Ltd., a company dedicated to developing unmanned vehicle systems tailored for GPS-denied environments, a role he has maintained since 2012. Since 2022, Dr. Ramirez-Serrano has also served as a Faculty Advisor for the Space Rover Team at the University of Calgary, guiding students in the design and development of robotic rovers for various challenges. Earlier in his career, he worked as a Post-Doctoral Fellow at Argonne National Laboratory-West, USA, from 2001 to 2002, where he specialized in discrete event system (DES) control systems. Additionally, he gained experience as a Development Engineer at ABB Corporate Research in Sweden from 2000 to 2003, focusing on autonomous automation systems. Since 2023, he has taken on the role of Guest Editor for the Journal of Drones (MDPI).

Research Interest

Dr. Ramirez-Serrano’s research includes:

Robotics and unmanned vehicle systems (UVS) for Urban Search & Rescue and infrastructure security.

Control methods for DES in flexible manufacturing and autonomous systems.

Artificial Intelligence applications in mobile robotics and dexterous manipulators.

His leadership extends to founding 4Front Robotics and contributing to various advisory roles, including Genesis Robotics and the Canadian Centre for Unmanned Vehicle Systems (CCUVS).

 

Top Notable Publications

Performance Estimation of Fixed-Wing UAV Propulsion Systems

Authors: Alex Ramirez-Serrano, et al.

Journal: Drones

Publication Date: August 25, 2024

DOI: 10.3390/drones8090424

Citations: Not available (as it’s a recent publication)

Adaptive Incremental Nonlinear Dynamic Inversion Control for Aerial Manipulators

Authors: Alex Ramirez-Serrano, et al.

Journal: Aerospace

Publication Date: August 15, 2024

DOI: 10.3390/aerospace11080671

Citations: Not available (as it’s a recent publication)

Number of Blades’ Influence on the Performance of Rotor with Equal Solidity in Open and Shrouded Configurations: Experimental Analysis

Authors: Alex Ramirez-Serrano, et al.

Journal: Aerospace

Publication Date: August 8, 2024

DOI: 10.3390/aerospace11080644

Citations: Not available (as it’s a recent publication)

Real-time moving object detection and removal from 3D pointcloud data for humanoid navigation in dense GPS-denied environments

Authors: Alex Ramirez-Serrano, et al.

Journal: Engineering Reports

Publication Date: December 2020

DOI: 10.1002/eng2.12275

Citations: 15 (as of the current date; please check databases for the latest count)

Conclusion

In conclusion, Dr. Alex Ramirez-Serrano’s extensive education, numerous accolades, significant contributions to the field of robotics, and leadership roles in academia and industry make him a strong candidate for the Best Researcher Award. His work not only advances technological innovation but also addresses critical challenges in sustainability and autonomous systems, underscoring his impact on both the scientific community and society at large.

 

Laura Celentano | Automation | Best Researcher Award

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Assoc Prof Dr.Laura Celentano | Automation | Best Researcher Award

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Orcid Profile

Google Scholar Profile

Educational Details

Laura Celentano earned her M.S. Laurea Degree (summa cum laude) in Computer Engineering, specializing in Automatic Control and Robotics, from the University of Naples Federico II in 2003. Her master’s thesis focused on advanced robotics, specifically the design of a robot for environmental monitoring and fire intervention in road and railway tunnels. She pursued her Ph.D. in Automation and Computer Science Engineering at the same institution, with a major in Automatic Control and System Analysis, completing her degree in 2006. Her Ph.D. thesis was titled “Modeling and Control of Rigid and Flexible Mechanical Systems.”

Research Experience

Currently, Dr. Celentano is an Associate Professor of Automation and Control at the University of Naples Federico II. She has also been involved in teaching at the University of Naples “Parthenope” and the Italian Air Force Academy, Naples, covering topics such as Systems Theory, Fundamentals of Dynamical Systems, Modeling and Simulation, and Automation of Navigation Systems. Beyond academia, she has collaborated extensively with public and private organizations, including projects funded by the European Union, the Italian Ministry of University and Research, and regional initiatives.

She is an active science communicator, contributing to radio programs and scientific journals. Dr. Celentano holds various editorial roles, including Associate Editor for several prestigious journals such as The Journal of the Franklin Institute, IEEE Access, and IEEE Transactions on Cybernetics. She is also a Senior Member of IEEE and a Full Member of the Sigma Xi scientific honor society. Notably, she has chaired and organized numerous international conferences and scientific events.

Research Interest

Dr. Celentano’s research interests encompass the design of versatile, fast, and robust control systems for both linear and nonlinear uncertain systems. She focuses on methods for stability analysis and stabilization of MIMO and discrete-time systems, with applications in mechatronic and transportation systems (e.g., cars, trains, ships), rescue and security robotics, and tele-monitoring systems. She is also exploring brain-computer interfaces for disabled individuals and deep learning techniques for medical applications, including myeloid leukemia. Her work extends into the modeling and control of rigid and flexible mechanical systems and smart sensors and actuators.

Top Notable Publications

L. Celentano, A. Garza-Alonso, and M.V. Basin, “Prescribed-time practical stabilization via majorant systems,” Journal of the Franklin Institute, in press, 2024.
Citation: In press, 2024.

L. Celentano, M. De Riso, R. Di Palo, M. Coppola, P. Guerriero, and S. Daliento, “A new modelling approach for a Cuk converter for on-field diagnostics of PV modules,” 2024 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), Napoli, Italy, pp. 1236-1241, 2024.
Citation: Conference paper, 2024.

L. Celentano, “An approach to model and control a flexible spacecraft,” IFAC-PapersOnLine, vol. 56, no. 2, pp. 11551-11557, 2023.
Citation: 2023, IFAC-PapersOnLine, vol. 56, no. 2, pp. 11551-11557.

L. Celentano, “A fast design technique for robust industrial controllers,” Journal of the Franklin Institute, vol. 360, no. 8, pp. 5689-5727, 2023.
Citation: 2023, Journal of the Franklin Institute, vol. 360, no. 8, pp. 5689-5727.

L. Celentano, M.V. Basin, and P. Shi, “Majorant-based control methodology for mechatronic and transportation processes,” IEEE Access, vol. 9, pp. 157916-157939, 2021.
Citation: 2021, IEEE Access, vol. 9, pp. 157916-157939.

L. Celentano, M.V. Basin, and P. Shi, “A systematic robust control method for marine surface vehicles,” IEEE SMC 2021 International Conference on Systems, Man, and Cybernetics, Melbourne, Australia, pp. 1305-1312, 2021.
Citation: Conference paper, 2021.

M.V. Basin, L. Celentano, M. Chadli, and P. Shi, Editorial “Special issue on emerging control techniques for mechatronic and transportation systems,” Asian Journal of Control, vol. 23, no. 5, pp. 2039-2041, 2021.
Citation: 2021, Asian Journal of Control, vol. 23, no. 5, pp. 2039-2041.

L. Celentano, M.V. Basin, and M. Chadli, “Robust tracking design for uncertain MIMO systems using proportional-integral controller of order v,” Asian Journal of Control, vol. 23, no. 5, pp. 2042-2063, 2021.
Citation: 2021, Asian Journal of Control, vol. 23, no. 5, pp. 2042-2063.

L. Celentano, and M. Basin, “Optimal estimator design for LTI systems with bounded noises, disturbances, and nonlinearities,” Circuits, Systems, and Signal Processing, vol. 40, no. 7, pp. 1476-1489, 2021.
Citation: 2021, Circuits, Systems, and Signal Processing, vol. 40, no. 7, pp. 1476-1489.