Pablo Pico Valencia | Internet of Things | Best Researcher Award

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Dr. Pablo Pico Valencia | Internet of Things | Best Researcher Award 

Dr. Pablo Pico Valencia, University of Granada, Spain.

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Pablo Antonio Pico Valencia is an accomplished researcher and academic specializing in artificial intelligence, intelligent systems, and the Internet of Things (IoT). He holds a Ph.D. in Information and Communication Technologies from the University of Granada, Spain, and currently serves as the Academic Director at Pontificia Universidad Católica del Ecuador (PUCESE). With over a decade of experience in higher education, he has contributed significantly to research and teaching in AI, distributed systems, and human-computer interaction. His work is widely published, with numerous indexed publications in Scopus and Web of Science. As a dedicated mentor, he has supervised various undergraduate and postgraduate theses, fostering the next generation of technology innovators.

Professional Profile:

Scopus

ORCID

Google Scholar

Summary of Suitability for the Best Researcher Award:Dr. Pablo Antonio Pico Valencia

Dr. Pablo Antonio Pico Valencia is a strong candidate for the Best Researcher Award based on his academic leadership, high-quality publications, and contributions to AI and IoT research. While his international collaboration and research innovation are commendable, further improving his h-index, leading large-scale projects, and focusing on industrial applications could solidify his case for top research recognition.

Education 🎓

Dr. Pico Valencia has an extensive academic background, earning multiple postgraduate degrees in technology and computer sciences. He obtained his Ph.D. in Information and Communication Technologies from the University of Granada in 2018. He also holds a Master’s degree in Information and Communication Science (2016) and another in Software Development (2016) from the same institution. Additionally, he completed a Master’s in Intelligent Systems and Numerical Applications in Engineering from the University of Las Palmas de Gran Canaria in 2012. His foundational education includes a degree in Systems and Computer Engineering from PUCESE (2008). His diverse academic journey has provided him with a robust foundation for interdisciplinary research and innovation.

Experience 💼

Dr. Pico Valencia has held several key academic and administrative positions throughout his career. Since 2023, he has been serving as the Academic Director at PUCESE, overseeing curriculum development and academic policies. Previously, he directed the Systems and Computer Engineering program (2012-2014) and led research initiatives in the same department. He has been a visiting professor at the University of Granada, contributing to the Master’s program in Software Development. His teaching expertise spans 17 courses related to artificial intelligence, IoT, and databases at both undergraduate and graduate levels. Additionally, he has actively participated in research projects focusing on intelligent automation and multi-agent systems.

Research Interest 🔬

Dr. Pico Valencia’s research focuses on integrating artificial intelligence and IoT to enhance decision-making in various domains, including environmental monitoring and active aging. His work on agent-based IoT systems has contributed to making smart objects more proactive and autonomous. His research interests include intelligent environments, distributed systems, and human-computer interaction. Through his investigations, he aims to optimize resource efficiency in smart ecosystems, improving energy management in connected homes and industries. His work has been recognized globally, and he collaborates with international researchers to advance AI-driven innovations in IoT applications.

Awards 🏆

Dr. Pico Valencia has received multiple competitive scholarships that have facilitated his postgraduate studies. His research contributions have been recognized through invitations to prestigious conferences, including AAMAS 2019. He has also been acknowledged for his work in artificial intelligence and intelligent systems, receiving institutional and academic accolades for his contributions. His leadership in research and education has positioned him as a key figure in advancing intelligent automation and IoT integration.

Publications Top Notes  📚

Dr. Pico Valencia has published over 35 scientific articles, with 18 indexed in JCR and SJR. His recent works include:

Agentification of the Internet of Things: A systematic literature review

CITED: 51

Towards the internet of agents: an analysis of the internet of things from the intelligence and autonomy perspective

CITED: 26

Detección de Noticias Falsas en Redes Sociales Basada en Aprendizaje Automático y Profundo: Una Breve Revisión Sistemática

CITED: 19

Towards an Internet of Agents model based on Linked Open Data approach

CITED: 19

A brief survey of the main internet-based approaches. An outlook from the internet of things perspective

CITED: 18

Semantic agent contracts for internet of agents

CITED: 16

An agent middleware for supporting ecosystems of heterogeneous web services

CITED: 13

Prof. Alice Cervellieri | Electronics Awards | Best Faculty Award

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Prof. Alice Cervellieri | Electronics Awards | Best Faculty Award 

Prof. Alice Cervellieri, Polytecnic of Turin, Italy

Alice Cervellieri is an expert in energy and comfort analysis, as well as technical physics, with extensive experience in academic research and applied engineering. She has worked as a research assistant, researcher, and visiting professor in multiple international institutions. Her academic contributions span diverse fields, including structural engineering, agricultural mechanics, and building energy efficiency. She has been involved in major projects such as the EU H2020 “ENCORE” initiative, focusing on energy-aware BIM cloud platforms, and has conducted dynamic simulations for the drying process of medicinal herbs using MATLAB. Her research also includes the evaluation and structural restoration of masonry buildings, seismic engineering, and experimental analysis of historical and monumental structures. As a visiting researcher, she contributed to the IEEE SA group’s project on Intelligent Transportation Systems in Bangalore, India. Additionally, she has served as a visiting professor at the Università di Ingegneria di Manizales, where she focused on energy and comfort analysis of residential buildings. Her work integrates advanced modeling techniques using software such as Modelica and Simulink to optimize building renovation and occupant comfort.

Professional Profile:

SCOPUS

Suitability for the Best Faculty Award – Alice Cervellieri

Prof. Alice Cervellieri’s exceptional contributions to research, teaching, and mentorship make her a highly deserving recipient of the Best Faculty Award. With a strong academic foundation in Civil Engineering and Safety & Environmental Management, she has demonstrated excellence in interdisciplinary research, particularly in energy analysis, intelligent transportation systems, and seismic engineering. Her role as a Research Assistant at UNIVPM, Visiting Researcher for IEEE SA, and Visiting Professor at international conferences highlights her commitment to advancing knowledge and fostering collaboration. Additionally, her mentorship through the Harvard Mentorship Project and contributions to EU H2020-funded research on energy-efficient building renovation underscore her dedication to both academia and societal impact. Recognized globally for her teaching, research, and leadership, Prof. Cervellieri’s achievements align perfectly with the prestige of the Best Faculty Award.

🎓 Education

  • Master’s in Safety and Environmental Management
    • Thesis: Consolidation and reinforcement of beams using UHTSS galvanized steel fiber fabrics and certified thixotropic structural mineral geomalta EN 1504.
  • Master’s Degree in Civil Engineering.
  • ERASMUS VIRTUAL EXCHANGE (2020) Introduction to dialogue facilitation – European Commission – 2020
  • Visiting professor – Energy and comfort analysis of residential buildings – International Conference of Manizales, USA.University of Engineering of Manizales, Architecture Department (2020)

💼 Work Experience

Prof. Alice Cervellieri has a diverse background spanning research, teaching, and mentorship across multiple disciplines, including energy analysis, intelligent transportation systems, and seismic engineering. She has served as a Research Assistant at UNIVPM (2020–2022), focusing on energy and comfort analysis, and as a Visiting Researcher for the IEEE SA Group on Intelligent Transportation Systems (2020–2022). Additionally, she has worked as a Researcher at the University of Florence on Seismic Engineering (2017–2018) and as a Teacher at Dante Alighieri (2012–2014).

Her expertise extends beyond research, with experience as a Language Translator for official documents at the Consulate of the Republic of Cuba (2021–Present). She has also engaged in professional development through courses such as MIT Professional Education’s “Transformation: Tecnologie e Applicazioni Pratiche” (2021).

Prof. Cervellieri has actively participated in several prestigious summer schools, including:

  • 6th International Summer School on Industrial Agents (ISSIA2020), University of Warwick
  • PhD Summer School at Scuola IMT Alti Studi Lucca on Model Predictive Control and Optimal Control (2021)
  • Women in Transport 2023, University of Bologna

She is also a Mentor for the Harvard Mentorship Project (2021–Present), contributing to academic and professional guidance for emerging scholars.

🏆 Achievements & Honors

🏅EU H2020 Research Grant Recipient – ENCORE Project on Energy-Efficient Building Renovation.
🏅 IEEE SA Group Researcher – Contributed to Intelligent Transportation Systems development.
🏅 Invited Speaker & Visiting Professor – International Conferences on Energy & Comfort Analysis.

  • Research Grant for “Best Researcher Award” for “Global Network & Technology Excellence Awards”
  • Research Grant for “Best Researcher Award” for “International Research Excellence Awards-Book of Award”
  • “Best Faculty Award” for “International Research Awards on Advanced Nanomaterials and Nanotechnology”.

Publication Top Notes:

A Feed-Forward Back-Propagation Neural Network Approach for Integration of Electric Vehicles into Vehicle-to-Grid (V2G) to Predict State of Charge for Lithium-Ion Batteries

On the Synthesis of Holonic Management Trees

Innovative Approach in cyber physical system for smart building efficiency monitoring

The Double Propeller Ducted-Fan, an UAV for safe Infrastructure inspection and human-interaction

Brotweg—A Path of Bread in an Alpine Environment: New Mechanical Solutions for Grain Processing in Steep Mountain Slopes

 

Mr. Dezhi Zheng | Smart Sensors Awards | Best Researcher Award

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Mr. Dezhi Zheng | Smart Sensors Awards | Best Researcher Award

Mr. Dezhi Zheng, Beijing Institute of Technology, China

Dr. Dezhi Zheng is a distinguished Professor and Doctoral Supervisor at the Advanced Research Institute of Multidisciplinary Sciences, Beijing Institute of Technology. He received his Ph.D. in Precision Instruments and Machinery and his B.S. in Mechanical Engineering and Automation from Beihang University. With a career spanning roles from Lecturer to Associate Professor at the School of Instrumentation and Optoelectronic Engineering at Beihang University, and a Visiting Scholar at the University of Victoria, Dr. Zheng has made significant contributions to airborne information detection, extreme signal measurement technology, and sensor-sensitive mechanisms. His research, focused on national strategic needs, has advanced the theoretical and applied aspects of precise sensing for weak physical features. Key achievements include innovations in resonant sensor technology to enhance aircraft altitude measurement, ultra-low frequency vibration sensor calibration for explosion monitoring, and wearable sensing devices that address long-term usability in brain-computer interfaces. With over 70 academic publications, 30 invention patents, and participation in more than 30 national research projects, Dr. Zheng’s work has had impactful applications in resonant sensors, low-frequency vibration technology, and smart wearable devices.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award:

Professor Dezhi Zheng, affiliated with the Advanced Research Institute of Multidisciplinary Sciences at Beijing Institute of Technology, has a distinguished profile that aligns well with the criteria for the Best Researcher Award.

🎓 Education

  • 2000-2006: Ph.D. in Precision Instruments and Machinery, Beihang University 🛠️
  • 2008-2012: B.S. in Mechanical Engineering and Automation, Beihang University 🧑‍🎓

🔬 Research Interests

  • 📡 Airborne Information Detection
  • 🛰️ Extreme Signal Measurement Technology
  • 🎛️ Sensor Sensitivity Mechanism

🔍 Research Highlights

Prof. Zheng’s research addresses major national strategic needs in precise sensing technology and weak physical feature applications. Notable achievements include:

  • ✈️ Enhanced Aircraft Altitude Measurement: Developed resonant sensor technologies that improve flight height measurement by nearly an order of magnitude
  • 🌋 Ultra-Low Frequency Vibration Measurement: Pioneered ultra-low frequency sensors for explosion vibration, achieving precise calibration at 0.01Hz
  • 🧠 Wearable Bioelectrical Sensing: Innovated wearable, long-use sensors for brain-computer interfaces, enabling breakthrough applications in wearable tech

🏆 Key Contributions

  • Led research applied in resonant sensors, low-frequency vibration calibration, and smart helmets 🪖
  • Solved technical challenges including sensor device coupled vibration, nonlinear measurement, and dynamic response 🌐
  • Participated in 30+ national research projects
  • Published 70+ academic papers 📄
  • Authorized 30+ invention patents 🔑

Publication top Notes:

UniRTL: A universal RGBT and low-light benchmark for object tracking

Adaptive temperature compensation for MoS2 humidity sensor in complex environments using ISSA-BP neural network

Catadioptric omnidirectional thermal odometry in dynamic environment

A hybrid method for asynchronous detection of motor imagery electroencephalogram fusing alpha rhythm and movement-related cortical potential

Investigation of the morphology and structural transformation of 6H-SiC induced by a single femtosecond laser pulse

Nuclei engineering for even halide distribution in stable perovskite/silicon tandem solar cells