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

Google Scholar
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

 

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

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.

Professional Profile:

Scopus

Orcid

🎓 Education:

  • PhD in Computer Science from IIC University of Technology, Cambodia
  • MS in Computer Science from COMSATS University, Pakistan
  • BS in Computer Science (Hons) from Hazara University, Pakistan

💼 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

🏅 Professional Skills:

  • Courses: Computer Networks, Research Methodology, Operating Systems, Image Processing, Artificial Intelligence
  • Programming Languages: C/C++, Java, C#.NET, JSP, ASP.NET, JavaScript
  • Databases: Microsoft SQL Server, Oracle
  • Operating Systems: Windows, Linux

📚 Thesis and Projects:

  • PhD Thesis: Energy Efficient Techniques for Connectivity Restoration in Wireless Sensor Networks
  • MS (CS) Thesis: Object Recognition using Genetic Algorithm on Shape Descriptors
  • BCS (Hons) Thesis: Identification and Data Management of Suspicious Persons

Scopus Metrics:

  • 📝 Publications: 14 documents indexed in Scopus.
  • 📊 Citations: A total of 64 citations for his publications, reflecting the widespread impact and recognition of Dr. B. Sathiyabhama’s research within the academic community.

Publications Top Notes :

  1. BBSF: Blockchain-Based Secure Weather Forecasting Information through Routing Protocol in Vanet
    • Published in Sensors, 2023, 23(11), 5259.
    • Cited by 4 articles.
  2. 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.
  3. 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.
  4. 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.
  5. 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.

 

 

 

 

 

 

Prof Dr. Tomás de J. Mateo Sanguino | Certificaciones profesionales CCNA | Best Researcher Award

Prof Dr. Tomás de J. Mateo Sanguino | Certificaciones profesionales CCNA | Best Researcher Award

Prof Dr. Tomás de J. Mateo Sanguino, Universidad de Huelva, Spain

👨‍🏫 Dr. Tomás de Jesús Mateo Sanguino is an Associate Professor at the University of Huelva, specializing in Electronics Engineering, Computer Systems, and Robotics. 🤖 With a diverse educational background including a PhD from the University of Huelva, he has been deeply involved in academia since 2004. 💼 Dr. Mateo Sanguino has made significant contributions to research, with over 100 publications in prestigious journals and conferences, earning him notable recognition including a high h-index. 📈 He has a strong track record in leading various research and teaching projects, both at national and international levels, and has been involved in patenting innovative technologies related to road signaling and communication equipment. 🛣️ Additionally, his dedication extends to promoting scientific culture through organizing events and conferences, notably the ongoing “ScienCity” conference since 2017. 🌟 He is also recognized for his commitment to education, having served as an instructor for the CISCO Certified Networking Association and mentoring numerous student projects and doctoral theses. 🎓 Dr. Mateo Sanguino’s work reflects his passion for advancing engineering education and contributing to cutting-edge research in his field.

🌐 Professional Profiles :

Google Scholar

Scopus

Orcid

📚 Education:

Ph.D. in Systems Engineering and Automatics from the University of Huelva (2010), Master’s Degree in University Teaching from the University of Huelva (2008), Electronics Engineering from the University of Granada (2001)

🔍 General Indicators of Quality of Scientific Production:

4 six-year periods, 62 publications in Scopus, 39 in JCR (Q1 = 15, Q2 = 7), h-index of 14 in Scopus, h-index of 17 in ResearchGate and Google Scholar, total citations of 851 in Scopus, 1177 in ResearchGate, 1470 in Google Scholar, ResearchGate Interest Score of 503.3 (> 87% of members)

🌐 Research Focus:

Dr. Tomás de Jesús Mateo Sanguino is an Associate Professor at the University of Huelva, specializing in Communications and networking, Robotics, and Engineering teaching. 🤖📡 He has a Ph.D. in Systems Engineering and Automatics, a Master’s Degree in University Teaching, and a background in Electronics Engineering. 🎓 He has a strong research background, with numerous publications, patents, and active participation in various R&D projects. 💼🔬 Dr. Mateo Sanguino is also an experienced instructor, having taught at the CISCO Certified Networking Association for 16 years and serving as a mentor for numerous student projects and doctoral theses. 📚👥 He is passionate about promoting scientific, technological, and innovation culture, as evidenced by his role in organizing events like “ScienCity.” 🌐💡

🎓 Experience:

Research fellow at the National Institute of Aerospace Technology (INTA) since 1998, freelancer at INTA, Higher Council for Scientific Research (CSIC) project in 2003/04, part of the research group “Robotic and High Energy Astrophysics” (TIC-189) of the Andalusian Research Plan (PAI), founder of “OnuRobotics” Spin-off (2009/12) with two awarded prizes, postdoctoral stay at EPFL (Switzerland)

💼 Professional Contributions:

Led 1 international R&D project, 2 national knowledge transfer projects, 3 regional R&D projects, and 19 teaching innovation projects, obtained around 150K€ in aids, participated in the European COST action CA16222 “Wider Impacts and Scenario Evaluation of Autonomous and Connected Transport”, participated in 8 national R&D projects and 3 regional R&D projects, holds three patents relevant to the field

📝 Publications & Editorial Contributions:

Published around 100 papers in various books, journals, and conferences, more than 50% indexed in Scopus, reviewer of 42 working documents, guest editor of four special issues on sensors, transportation systems, mobile devices, and intelligent applications for smart cities in Sensors (MDPI, Switzerland) and Wireless Communications and Mobile Computing (Hindawi)

🏆 Honors & Awards:

Honored as an Advanced Level Instructor of Excellence in 2013 by imparting CCNA R&S, Data Center, and Wireless professional certifications at the local DIESIA Networking Academy of the UHU

👥 Teaching & Mentorship:

Completed 16 years of service as an instructor of the CISCO Certified Networking Association, tutor of 39 final student projects and 1 Doctoral Thesis, responsible for 2 Theses in the Doctoral Program in “Science, Industrial and Environmental Technology”

📚 Publication Impact and Citations :

Scopus Metrics:

  • 📝 Publications: 62 documents indexed in Scopus.
  • 📊 Citations: A total of 864 citations for his publications, reflecting the widespread impact and recognition of Dr. Mateo Sanguino’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 1487 📖
    • h-index: 17 📊
    • i10-index: 31 🔍
  • Since 2018:
    • Citations: 576 📖
    • h-index: 13 📊
    • i10-index: 16 🔍

👨‍🏫 A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. 🌐🔬

Publications Top Notes :

  • Over-the-Air Programming System for IoT Devices with a Non-native Wireless Update Service (2022)
    • Journal: Journal of Physics: Conference Series
    • Authors: Lozano Domínguez, J.M., Mateo Sanguino, T.J., Redondo González, M.J., Fernández De Viana González, I.J.
    • Citations: 1
  • Vehicle Detection System for Smart Crosswalks Using Sensors and Machine Learning (2021)
    • Conference: 18th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021
    • Authors: Lozano Dominguez, J.M., Al-Tam, F., Sanguino, T.D.J.M., Correia, N.
    • Citations: 5
  • Walking secure: Safe routing planning algorithm and pedestrian’s crossing intention detector based on fuzzy logic app (2021)
    • Journal: Sensors
    • Authors: Domínguez, J.M.L., Sanguino, T.J.M.
    • Citations: 9
  • Analysis of machine learning techniques applied to sensory detection of vehicles in intelligent crosswalks (2020)
    • Journal: Sensors (Switzerland)
    • Authors: Domínguez, J.M.L., Al-Tam, F., Sanguino, T.J.M., Correia, N.
    • Citations: 12
  • Multi-Objective Decision Support System for Intelligent Road Signaling (2020)
    • Conference: Iberian Conference on Information Systems and Technologies, CISTI, 2020
    • Authors: Dominguez, J.M.L., Sanguino, T.D.J.M., Veliz, D.M., Gonzalez, I.J.F.D.V.
    • Citations: 2

 

 

 

 

 

Innovation in Networking Award

Innovation in Networking Award

Introduction: Welcome to the Innovation in Networking Award—an esteemed recognition that honors pioneers in the field who have demonstrated exceptional innovation and creativity in advancing networking technologies. This award celebrates those whose groundbreaking contributions have significantly shaped the future of networking.

Award Eligibility: The Innovation in Networking Award is open to individuals, teams, and organizations that have made noteworthy contributions to the advancement of networking technologies through innovative approaches. Eligibility is not restricted by age, and qualifications may vary.

Qualifications and Publications: Nominees should showcase a distinguished record of innovative work in the realm of networking. While formal qualifications are not mandatory, a strong portfolio of publications, case studies, or successful implementations is highly encouraged.

Requirements for Submission: Nominees are required to submit a comprehensive biography, an abstract outlining their innovative contributions to networking, and supporting files that substantiate the impact of their work.

Evaluation Criteria: Submissions will be evaluated based on the level of innovation, the impact on the field, and the potential for future advancements in networking technologies. The judging panel will also consider the practical applications of the nominee's innovative approaches.

Submission Guidelines:

  • Submit a detailed biography highlighting innovative contributions to networking.
  • Include an abstract summarizing key innovations in networking.
  • Attach supporting files, such as case studies, prototypes, or other relevant documents.
  • Ensure all materials are submitted by the specified deadline.

Recognition and Community Impact: Recipients of the Innovation in Networking Award will receive widespread recognition within the networking and technology communities. The award aims to highlight the broader community impact of advancements in networking innovation.

Biography: Nominees are encouraged to submit a detailed biography, showcasing their innovative journey, notable achievements, and the impact of their contributions to networking.

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