Luis Tituaña | Mechanical Award | Best Researcher Award

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Mr. Luis Tituaña | Mechanical Award | Best Researcher Award

Mr. Luis Tituaña, University of Central Florida, United States

Luis Rodrigo Tituaña Dávila, currently pursuing a Ph.D. in Mechanical Engineering at the University of Central Florida, blends a rich academic background with diverse professional experiences. With a Fulbright Scholarship and a Master’s in Electrical and Computer Engineering from Southern Illinois University, his research spans Control Systems, Neural Networks, and Robotics. Notable achievements include his work on autonomous strawberry harvesting robots and magnetic manipulators. Passionate about education, he has lectured and instructed in various engineering disciplines. Beyond academia, Luis enjoys salsa dancing and has contributed to student associations. 🎓🤖🌱

 

Publication Profile

Scopus

Education and Academic Pursuits 🎓

Luis Rodrigo Tituaña Dávila holds a B.S. in Electronics and Control Engineering from the National Polytechnic School, Quito, Ecuador. He furthered his education with an M.S. in Electrical and Computer Engineering at Southern Illinois University, Carbondale, Illinois. Currently pursuing a Ph.D. in Mechanical Engineering at the University of Central Florida, Orlando, Luis’s academic journey reflects his commitment to interdisciplinary learning and research excellence.

Achievements 🏆

Luis’s career showcases a blend of practical experience and academic prowess. From internships in Ecuadorian firms to conducting research at renowned American universities, he has honed his skills in control systems and robotics. His achievements include a Fulbright Scholarship and accolades in international robotics competitions, testament to his dedication and innovation.

Teaching  👨‍🏫

Luis has served as a lecturer and laboratory instructor, imparting knowledge in mathematics, control systems, and digital technology. His passion for education extends beyond the classroom, as seen in his involvement in extracurricular activities and mentoring roles.

Research Focus

Luis Tituaña’s research spans diverse areas, showcasing a multidisciplinary approach. His focus primarily revolves around control systems, robotics, and signal processing, as evidenced by his work on planar magnetic manipulators, inverse response systems identification using genetic programming, and low-cost satellite signal receivers. Through his contributions, he explores innovative solutions to complex engineering challenges, blending theoretical insights with practical implementations. Tituaña’s expertise encompasses both theoretical frameworks and hands-on applications, reflecting a commitment to advancing knowledge in these domains. With a versatile skill set and a passion for exploration, he navigates the intersections of technology with precision and creativity. 🤖🔬

 

Publication Top Notes

Implementation of a planar magnetic manipulator with rotatable permanent magnets

Inverse Response Systems Identification using Genetic Programming

Materials and Methods Satellite signal Low Cost NOAA Satellite Signal Receiver for Characterization of Astronomical Sites

Sistema de Recepción de Señales Radioeléctricas

 

Gabriel Davidyan | Mechanical Engineering Award | Best Researcher Award

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Mr. Gabriel Davidyan | Mechanical Engineering Award | Best Researcher Award

Mr. Gabriel Davidyan, Israel Railway, Israel

🚆 Gabriel Davidyan is a forward-thinking Director of Research and Development at Israel Railways and a dedicated PhD candidate at Ben-Gurion University. With a focus on operational digital twins for railway systems, Gabriel excels in predictive maintenance technologies and leading multidisciplinary projects. His expertise in mechanical engineering, honed through years of experience and collaboration with esteemed professors, drives innovation in the field. With a track record of successful project leadership, strategic partnerships, and publications in reputable journals, Gabriel is committed to advancing railway systems through cutting-edge research and industry collaboration. 🛤️🔬

 

Publication Profile 

Orcid

Education

 

🎓 Gabriel Davidyan’s educational journey reflects a passion for advancing engineering solutions, particularly in the realm of railway systems. His academic foundation was laid at Shamoon College of Engineering, where he earned a Bachelor’s degree in Mechanical Engineering. Building upon this, he pursued a Master’s degree in Energy Engineering at Ben-Gurion University, delving into the intricacies of angular speed estimation algorithms. Currently, Gabriel is immersed in his Ph.D. studies at Ben-Gurion University, under the guidance of Professors Jacob Bortman and Ron S. Kennet, focusing on the development of operational digital twins for railway systems, marking his commitment to innovation in the field of transportation engineering. 🚂📚

 

Professional Experience 

 

🔧 Gabriel Davidyan’s professional journey epitomizes leadership and innovation in the realm of railway maintenance and development. As the Director of Research and Development at Israel Railways since 2022, he spearheads pioneering projects in predictive maintenance, translating concepts into tangible successes. Previously, during his tenure from 2013 to 2022, he held pivotal roles, including Director of Maintenance Engineering Department. Here, he led cross-functional teams, managed budgets efficiently, and cultivated strategic partnerships to drive operational excellence. Gabriel’s expertise lies in implementing cutting-edge technologies, optimizing maintenance processes, and fostering a culture of continuous improvement, ensuring the reliability and efficiency of railway systems. 🚄💼

 

Research Focus

🔬 Gabriel Davidyan’s research focus lies in the development and application of advanced technologies to enhance the efficiency and reliability of railway systems. His contributions include pioneering work on operational digital twins, such as the development of a digital twin for a freight car braking system and a locomotive parking brake. Additionally, he has delved into algorithmic advancements, such as devising novel algorithms for instantaneous angular speed estimation based on vibration signatures. Through his interdisciplinary approach and collaboration with esteemed colleagues, Gabriel continues to push the boundaries of innovation in the field of transportation engineering, ensuring safer and more optimized railway operations. 🚂

Publication Top Notes

Development of an Operational Digital Twin of a Freight Car Braking System for Fault Diagnosis

A Novel Algorithm for Instantaneous Angular Speed Estimation Based on Vibration Signatures

Development of an Operational Digital Twin of a Locomotive Parking Brake for Fault Diagnosis