Dr. Roberto La Rosa | Networking Awards | Best Researcher Award

Dr. Roberto La Rosa, STMicroelectronics, Italy

Dr. Roberto La Rosa is a distinguished Design Manager and Senior Principal IC Mixed-Signal Designer at STMicroelectronics. With over two decades of expertise, he specializes in ultra-low-power integrated circuits, energy harvesting, and efficient transduction systems. His pioneering work includes developing energy-autonomous systems and wireless battery chargers compliant with the Wireless Power Consortium (QI) standard. Dr. La Rosa has authored more than 30 scientific publications and holds over 20 international patents, reflecting his profound contributions to IC design and energy efficiency. His academic and professional journey exemplifies innovation and leadership in the electronics industry.

Professional Profile

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Suitability for the Best Researcher Award

Dr. Roberto La Rosa is an ideal candidate for the Best Researcher Award due to his transformative contributions to IC design and energy efficiency. His pioneering work on ultra-low-power circuits and energy-autonomous systems has revolutionized sustainable electronics. His extensive publication record and patent portfolio demonstrate a profound impact on academia and industry. With a career marked by innovation, leadership, and sustainability, Dr. La Rosa exemplifies the qualities of a visionary researcher driving meaningful change in technology.

Education

Dr. La Rosa holds a Master’s Degree in Electronic Engineering, graduating cum laude from the Università degli Studi di Palermo in 1995. His academic journey continued with a Ph.D. in Electrical Engineering from the École Polytechnique Fédérale de Lausanne (EPFL), Switzerland (2019–2022). His doctoral research focused on energy-efficient integrated circuit (IC) design, IoT applications, and electronics, emphasizing sustainable and cutting-edge solutions for modern technological challenges. This robust educational foundation has been pivotal in his groundbreaking contributions to the field of IC design and energy harvesting.

Experience

Dr. La Rosa has been a cornerstone at STMicroelectronics since 2006, serving as a Design Manager and Senior Principal IC Designer. His expertise includes developing ultra-low-power ICs, energy-autonomous systems, and battery-free wireless sensor nodes. His work on wireless battery chargers and energy-efficient systems has led to the successful commercialization of products like STWBC. Earlier in his career, he designed ASIC products for ultrasound medical echography and various IC LED drivers. His leadership roles have encompassed project management, hardware development, and top-level integration, solidifying his reputation as a leader in IC innovation.

Awards and Honors

Dr. La Rosa’s career is adorned with accolades, reflecting his innovation in IC design and energy harvesting. His contributions to wireless battery charging and energy-autonomous systems have earned him industry-wide recognition. With over 20 international patents, his inventive solutions have significantly impacted sustainable electronics. His work has been lauded for its alignment with global sustainability goals, making him a thought leader in the realm of low-power ICs and IoT technologies.

Research Focus

Dr. La Rosa’s research is rooted in developing sustainable technologies through energy harvesting, ultra-low-power IC design, and IoT applications. His work addresses the critical need for energy-efficient systems, focusing on harvesting energy from infrared light and radio frequencies to power devices autonomously. His innovative approaches have paved the way for battery-free wireless sensor nodes and energy-efficient transduction systems, ensuring a greener and more connected future.

Publication Top Notes

Strategies and Techniques for Powering Wireless Sensor Nodes Through Energy Harvesting and Wireless Power Transfer
- Year: 2019
- Citations: 123
An Energy-Autonomous Wireless Sensor with Simultaneous Energy Harvesting and Ambient Light Sensing
- Year: 2021
- Citations: 45
A Self-Powered and Battery-Free Vibrational Energy to Time Converter for Wireless Vibration Monitoring
- Year: 2021
- Citations: 27
Advanced Monitoring Systems Based on Battery-Less Asset Tracking Modules Energized Through RF Wireless Power Transfer
- Year: 2020
- Citations: 24
A Battery-Free Wireless Smart Sensor Platform with Bluetooth Low Energy Connectivity for Smart Agriculture
- Year: 2022
- Citations: 20

Assist Prof Dr. Mahmood Hassan | Computer Networks Award | Best Researcher Award

Assist Prof Dr. Mahmood Hassan, Najran University, Saudi Arabia

Dr. Mahmood Ul Hassan is a versatile professional with a rich academic background and extensive experience in academia and research. 🎓 Holding a PhD in Computer Science with a focus on Wireless Sensor Networks, he has demonstrated expertise in areas such as computer networks, research methodology, and artificial intelligence. With over a decade of teaching experience at various institutions, including Najran University and Jouf University, he has excelled in academic planning, quality management, and student welfare. As a prolific researcher, he has authored impactful theses and contributed to numerous workshops and conferences, showcasing his commitment to advancing the field. 💼 His skills span programming languages, web development, and database management, making him a well-rounded professional in the realm of technology.

💼 Experience:

PhD Supervisor at IIC University of Technology, Cambodia

Assistant Professor at Quality Education Company, Najran University, Saudi Arabia

Head of Department at Jouf University, Saudi Arabia

Lecturer at Govt. College of Commerce & Management Sciences, Pakistan

Research Associate at COMSATS University, Pakistan

Publications Top Notes :

BBSF: Blockchain-Based Secure Weather Forecasting Information through Routing Protocol in Vanet

Published in Sensors, 2023, 23(11), 5259.
Cited by 4 articles.

An efficient dynamic decision-based task optimization and scheduling approach for microservice-based cost management in mobile cloud computing applications

Published in Pervasive and Mobile Computing, 2023, 92, 101785.
Cited by 9 articles.

A CNN-Model to Classify Low-Grade and High-Grade Glioma From MRI Images

Published in IEEE Access, 2023, 11, pp. 46283–46296.
Cited by 6 articles.

A Novel RGB Image Obfuscation Technique Using Dynamically Generated All Order-4 Magic Squares

Published in IEEE Access, 2023, 11, pp. 46382–46398.
Cited by 1 article.

Improved-Equalized Cluster Head Election Routing Protocol for Wireless Sensor Networks

Published in Computer Systems Science and Engineering, 2022, 44(1), pp. 845–858.
Cited by 3 articles.