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

 

Assist Prof Dr. Xiaohe Yan | Network Operation Awards | Best Researcher Award

Assist Prof Dr. Xiaohe Yan | Network Operation Awards | Best Researcher Award

Assist Prof Dr. Xiaohe Yan, North China Electric Power University, China

Dr. Yan is an accomplished academic and researcher in the energy sector, holding a Ph.D. from the University of Bath, where he specialized in energy storage operation and planning, smart energy systems, and electricity markets. Currently serving as an Assistant Professor at North China Electric Power University, his innovative research addresses critical challenges in sustainable energy and carbon emissions, with publications gaining recognition in reputable journals. Dr. Yan’s academic journey is marked by excellence, including distinctions in his studies and prestigious awards such as the Chinese Government Scholarship and recognition as an exceptional reviewer for IEEE Transactions on Sustainable Energy.

Professional Profile:

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Suitability for the Award

Assist. Prof. Dr. Xiaohe Yan is highly suitable for the Research for Best Researcher Award due to his exemplary academic achievements, impactful research, and recognized contributions to the field of energy systems and electricity markets. His work in energy storage, smart energy systems, and market dynamics is at the cutting edge of research that addresses global challenges in energy sustainability and efficiency.

Academic Credentials:

Dr. Yan earned his Ph.D. from the University of Bath in 2019 under the supervision of Furong Li, a prominent figure in energy systems research. His academic journey is marked by excellence, having achieved a distinction and ranking 1st in his MSc program at the University of Bath.

His undergraduate degree in Engineering from Xi’an University of Technology provided a solid foundation for his subsequent research in energy systems.

Research Interests and Contributions:

Dr. Yan’s research interests are at the forefront of the energy sector, focusing on Energy Storage Operation and Planning, Smart Energy System Operation and Economics, and Electricity Markets. These areas are critical for advancing sustainable energy solutions and optimizing the integration of renewable energy into the grid.

His recent publications, including “Energy trade-offs in coupled ICM and electricity market under dynamic carbon emission intensity” and “P2H Modeling and operation in the microgrid under coupled electricity–hydrogen markets,” demonstrate his innovative approach to addressing complex challenges in energy markets and carbon emissions. Although still early in his career, his work is already gaining traction, evidenced by citations in reputable journals.

Professional Experience:

Dr. Yan currently serves as an Assistant Professor at North China Electric Power University, a leading institution in energy research. Before this, he held a postdoctoral fellowship at the State Key Laboratory of Internet of Things for Smart City at the University of Macau, where he worked under the guidance of Yonghua Song, further honing his expertise in smart energy systems.

His career trajectory reflects a strong commitment to both teaching and research, with a focus on advancing knowledge in sustainable energy systems.

Honors and Recognition:

Dr. Yan has received several prestigious awards and scholarships, including the Graduate School Scholarship funded by the University of Bath and the Chinese Government Scholarship (CSC). These accolades underscore his academic excellence and the potential impact of his research.

He was recognized as an exceptional reviewer for the IEEE Transactions on Sustainable Energy in 2020, highlighting his engagement with the academic community and his expertise in the field.

Publication Top Notes:

  • Title: Dynamic Pricing for Responsive Demand to Increase Distribution Network Efficiency
    • Year: 2017
    • Cited by: 45
  • Title: Robust Optimization-Based Energy Storage Operation for System Congestion Management
    • Year: 2019
    • Cited by: 43
  • Title: Cyber-Resilient Multi-Energy Management for Complex Systems
    • Year: 2021
    • Cited by: 35
  • Title: Network Pricing for Customer-Operated Energy Storage in Distribution Networks
    • Year: 2018
    • Cited by: 34
  • Title: Peer-to-Peer Energy Sharing with Dynamic Network Structures
    • Year: 2021
    • Cited by: 32

 

 

Dr. Iftikhar Ahmad | Network Optimization Awards | Best Researcher Award

Dr. Iftikhar Ahmad | Network Optimization Awards | Best Researcher Award

Dr. Iftikhar Ahmad, University of Gujrat, Pakistan

Dr. Iftikhar Ahmad is an accomplished researcher and Assistant Professor of Mathematics at The University of Chenab, with a strong academic background, including a Ph.D., MPhil, and BS in Mathematics from the University of Gujrat, Pakistan. His research expertise lies in neural networks and nonlinear models, with a focus on solving complex mathematical problems through advanced computational techniques such as Wavenet. Dr. Ahmad has made significant contributions to applied mathematics, demonstrated by his publications in high-impact journals, and is dedicated to advancing both research and education in his field.

Professional Profile:

Scopus

Suitability for the Best Researcher Award

Dr. Iftikhar Ahmad is highly suitable for the Best Researcher Award. His strong academic background, particularly in applied mathematics and his focus on neural networks and nonlinear models, positions him as a leading researcher in his field. His recent publications in high-impact journals demonstrate his ability to conduct advanced research and contribute valuable insights to the mathematical and engineering communities. Moreover, his role as an Assistant Professor highlights his commitment to academia, not only in teaching but also in fostering research.

Academic Background:

Dr. Ahmad has a solid academic foundation in Mathematics, having completed a Ph.D., MPhil, and BS in the field from the University of Gujrat, Pakistan. His doctoral research focused on the design and applications of Wavenet for solving nonlinear models, which demonstrates his capability in tackling complex mathematical problems using advanced computational techniques. His MPhil thesis also delved into the numerical study of nonlinear problems using neural networks, further emphasizing his expertise in applied mathematics and computational methods.

Professional Experience:

Dr. Ahmad has considerable teaching experience, currently serving as an Assistant Professor at The University of Chenab and previously at the University of Gujrat. His roles have involved not only delivering lectures but also supporting research groups, which indicates his active engagement in both teaching and research activities. His experience as a Mathematics lecturer at the undergraduate level also highlights his commitment to educating future mathematicians.

Publication Top Notes:

  • On the applications of collocation method for numerically analyzing the nonlinear Degasperis-Procesi and Benjamin-Bona-Mahony equations

    Cited by: 5

  • Optimal control of thermoregulation in the human dermal regions investigated through the stochastic integrated techniques

    Cited by: 2

  • Novel intelligent predictive networks for analysis of chaos in stochastic differential SIS epidemic model with vaccination impact

    Cited by: 2

  • Intelligent predictive computing for functional differential system in quantum calculus

    Cited by: 1

  • Integrated intelligence of inverse multiquadric radial base neuro-evolution for radiative MHD Prandtl–Eyring fluid flow model with convective heating

    Cited by: 1

 

 

 

Mr. Pingkang Guo | Network Optimization Awards | Best Researcher Award

Mr. Pingkang Guo | Network Optimization Awards | Best Researcher Award

Mr. Pingkang Guo, Hebei Normal University, China

Pingkang Guo is driven by a passion for advancing technology and solving real-world problems through innovative research in software engineering. With a focus on MEC and UAV communication, he is dedicated to contributing to the field and exploring new avenues for technological advancement.

🌐 Professional Profile:

Scopus

🎓 Education:

Pingkang Guo is currently pursuing a Master of Science (M.S.) degree in software engineering at Hebei Normal University.

🔬 Research Interests:

His research interests primarily focus on Mobile Edge Computing (MEC) and Unmanned Aerial Vehicle (UAV) communication.

👨‍💻 Scientific Research:

Pingkang Guo has actively participated in various research projects:

  • Departmental Projects: Participated in 2 departmental projects.
  • University-level Projects: Engaged in 3 university-level projects.
  • College-level Project: Contributed to 1 college-level project.
  • Summer Practice: Actively participated in summer practice, gaining valuable hands-on experience.

Publication Top Note:

  • Title: A survey of energy efficient methods for UAV communication
  • Published in: Vehicular Communications
  • Year: 2023
  • Citations: 10

 

 

 

 

Assoc Prof Dr. Yuchuan Fu | AI in Network | Best Researcher Award

Assoc Prof Dr. Yuchuan Fu | AI in Network | Best Researcher Award

Assoc Prof Dr. Yuchuan Fu, Xidian University, China

👩‍🎓 Dr. Yuchuan Fu, a Ph.D. graduate in Telecommunications Engineering from Xidian University (2020), is currently an Associate Professor at Xidian University’s School of Telecommunications Engineering. She pursued joint Ph.D. studies at Carleton University, Canada, and has garnered acclaim for her 47 publications in esteemed journals and conferences, earning accolades such as the Outstanding Doctoral Thesis Award and the Best Paper Award at DIVANet’23. Her expertise lies in Artificial Intelligence for Internet of Vehicles and Intelligent Transportation Systems, with notable contributions recognized by prestigious entities like the China Electronics Education Society. Dr. Fu’s impactful research, including 2 ESI highly cited papers and 1 hot paper, underscores her commitment to advancing telecommunications. 🏆🔍📚

🌐 Professional Profiles :

Scopus

Google Scholar

🎓 Education:

Dr. Yuchuan Fu received her Ph.D. degree from Xidian University, China, in Telecommunications Engineering in 2020.

👩‍💼 Experience:

She is currently serving as an Associate Professor at the School of Telecommunications Engineering, Xidian University, Shaanxi, China. Dr. Fu was a joint Ph.D. student with Carleton University, Canada, from 2018 to 2019.

🏆 Achievements:

Dr. Fu’s research interests include AI for Internet of Vehicles, Internet of Things, and Intelligent Transportation Systems. She has published 47 papers in prestigious journals and conferences, with several being highly cited. Her research has earned her recognition through numerous awards, including the Outstanding Doctoral Thesis Award and Best Paper Awards at international conferences.

🔬 Research Focus:

Her current academic focus lies in the areas of Internet of Vehicles and Intelligent Transportation Systems.

📚 Notable Honors:

  • Outstanding Doctoral Thesis Award (China Electronics Education Society, 2020)
  • Outstanding Achievement Award (Special Prize, Shaanxi Higher Education Institutions Science and Technology Research, 2022)
  • Best Paper Award (DIVANet’23 International Conference)
  • Best Demo Award Winner (12th NEEE/CIC International Conference on Communications in China)
  • Best Student Paper Award (ADHOCNETS 2018 International Conference)

📚 Publication Impact and Citations :

Scopus Metrics:

  • 📝 Publications: 45 documents indexed in Scopus.
  • 📊 Citations: A total of 648 citations for his publications, reflecting the widespread impact and recognition of Dr. Yuchuan Fu’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 911 📖
    • h-index: 15  📊
    • i10-index: 18 🔍
  • Since 2018:
    • Citations: 899 📖
    • h-index: 15 📊
    • i10-index: 18 🔍

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

Publications Top Notes :

  1. Vehicle position correction: A vehicular blockchain networks-based GPS error sharing framework
    • Published in IEEE Transactions on Intelligent Transportation Systems in 2020.
    • 113 citations.
  2. A decision-making strategy for vehicle autonomous braking in emergency via deep reinforcement learning
    • Published in IEEE Transactions on Vehicular Technology in 2020.
    • 100 citations.
  3. Vehicular blockchain-based collective learning for connected and autonomous vehicles
    • Published in IEEE Wireless Communications in 2020.
    • 95 citations.
  4. A mobility-aware vehicular caching scheme in content centric networks: Model and optimization
    • Published in IEEE Transactions on Vehicular Technology in 2019.
    • 90 citations.
  5. A survey of blockchain and intelligent networking for the metaverse
    • Published in IEEE Internet of Things Journal in 2022.
    • 78 citations.