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

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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Scopus

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

 

Prof. Dr. Resul Das | Computer Networks Awards | Best Faculty Award

Prof. Dr. Resul Das | Computer Networks Awards | Best Faculty Award

Prof. Dr. Resul Das, Firat Universtiy, Turkey

Prof. Dr. Resul Das is a Full Professor in the Department of Software Engineering at Firat University, Turkey, specializing in software engineering, cyber security, data science, and IoT solutions. He earned his Ph.D. in Electrical-Electronics Engineering from Firat University and later pursued postdoctoral research at the University of Alberta, Canada, where he focused on multi-sensor data fusion and IoT security. Prof. Dr. Das has a strong academic background, with research interests spanning agile software development, network management, machine learning, and smart applications. He has received numerous awards, including TÜBiTAK’s Academic Publication Encouragement Award and the European Union’s Leonardo Da Vinci Education Grant. Prof. Dr. Das is also an active member of professional associations, including the Cisco Networking Academy and the Vocational and Technical Education Development Association. ✨🎉

Publication Profile:

Scopus
Orcid
Google Scholar

Suitability for the Award

Prof. Dr. Resul Das’s extensive academic contributions, global research impact, and leadership in advancing education and research make him a highly suitable candidate for the Research for Best Faculty Award. His work in IoT security, graph data science, and fog computing has not only addressed critical technological challenges but also influenced subsequent research and applications. 💡💥

Academic Background

Prof. Dr. Resul Das earned his Ph.D. in Electrical-Electronics Engineering from Firat University, Turkey (2008), with a focus on Knowledge Extraction from Web User Access Logs. He also completed his M.Sc. in Electronics and Computer Science (2002) from the same institution, specializing in Video Conference System Design. 🔐💡

Research Interests

His expertise spans Software Engineering, Computer Networks, Cyber Security, Data Science, and IoT/M2M Solutions, particularly in multi-sensor data fusion, IoT security, smart grids, fog computing, and big data. His work on cyber-attacks, machine learning, and network optimization contributes to advancing modern tech infrastructure. 🎉💡

Professional Career

Currently a Full Professor at Firat University, Dr. Das has held notable positions as a Visiting Professor at the University of Alberta, Canada, and has led numerous successful research projects in IoT security and data fusion. His contributions have earned him several prestigious awards, including TÜBiTAK Academic Publication Encouragement Award (16 times) and the EU Leonardo Da Vinci Education Grant (2006). 🌍✨

Global Recognition

A TÜBiTAK International Postdoctoral Research Fellowship recipient, Prof. Dr. Das has also contributed significantly as a Cisco Networking Academy Instructor and Project Coordinator. His work has been recognized globally for its impact on cyber security and data science advancements. 🔐💡🌍

Publication Top Notes:

  • Effective diagnosis of heart disease through neural networks ensembles
    • Citations: 848
    • Year: 2009
  • Cyber-security in smart grids: Threats and potential solutions
    • Citations: 729
    • Year: 2020
  • A comparison of multiple classification methods for diagnosis of Parkinson’s disease
    • Citations: 486
    • Year: 2010
  • Performance analysis of classification algorithms on early detection of liver disease
    • Citations: 221
    • Year: 2017
  • A novel honeypot-based security approach for real-time intrusion detection and prevention systems
    • Citations: 139
    • Year: 2018