Nuno Silva | Urban Smart Cities | Best Researcher Award

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Mr. Nuno Silva | Urban Smart Cities | Best Researcher Award

Managing Director, R&D Nester, Portugal

With over 30 years of experience in the Energy and Telecommunications industries, Mr. Nuno Silva  has held leadership roles in private, public, and multinational companies, driving innovation and business growth. As an Executive Board Member and General Director of R&D Nester, he has spearheaded smart energy research and innovation, securing over €20 million in funding for international projects. His expertise spans renewable energy, power systems, energy markets, and smart grids, with a strong track record in strategic planning, business development, and regulation. He has also played key roles in European Commission initiatives such as ETIP-SNET and BRIDGE, contributing to shaping the future of energy systems. A published author, frequent speaker at energy-related events, and lecturer in postgraduate courses, he combines strong technical, strategic, and leadership skills to drive sustainable energy solutions.

Profile

scopus

Education🎓

 Mr. Nuno Silva holds a MSc. in Electrical Engineering (1995) from Instituto Superior Técnico, Lisboa, and a MSc. in Business Management (2005) from Universidade Nova de Lisboa. He further enriched his academic credentials with an MBA (2003) from the same institution, focusing on Finance and Marketing (grade 18/20). His global exposure includes executive programs at Harvard Business School (Key Executives Program, 2014) and Cheung Kong Global School of Business, China (CEO Program, 2019). Additionally, he completed a one-year specialization in Energy Regulation (2014) at the Florence School of Regulation. His multidisciplinary education provides a unique blend of technical expertise and strategic management skills, enabling him to lead groundbreaking projects in energy transition, smart grids, and renewable energy integration.

Experience 💼

Currently serving as the Executive Board Member & General Director of R&D Nester (since 2013), Mr. Nuno Silva has successfully built the organization into a leading R&D center for smart energy, securing €20M+ in funding. Previously, he led a renewable energy company from startup to €14M turnover, 60+ employees, and 16-country presence, managing 5,000+ MW of projects. His earlier roles include leading an Energy Consulting Office (2009-2013) to profitability and developing a national telco network for SMEs. He actively contributes to European energy policies, serving as Portuguese Representative at CIGRE (2016-2022), Co-Chair at ETIP-SNET (2023-…), and a BRIDGE Task Force Co-Leader (2022). His expertise in energy markets, regulation, power systems, and smart grid technologies is widely recognized.

Awards & Honors  🏆

Portuguese Representative at CIGRE (2016-2022) for Electricity Markets & Regulation Co-Chair of ETIP-SNET Working Group 1 (2023-Present) on Reliable, Economic, and Efficient Energy Systems Member of ETIP-SNET Experts Group (2021-2023), contributing to EU energy transition roadmaps Co-Leader of BRIDGE Task Force on Research & Innovation Priorities (2022), influencing EU energy and digitalization strategies

Research Focus  🔬

Innovation & Research Funding: Secured €20M+ for EU & global projects, collaborating with European Commission, European Space Agency, and CIGRE. His work influences EU energy policies, contributing to ETIP-SNET and BRIDGE initiatives, shaping future energy transition strategies

Publications

Gestão Estratégica do Crescimento Económico em Portugal (2010) 📖

Smart Grid Integration of Renewables ⚡

Optimizing Energy Market Participation for Wind & Solar 🌍

Digitalization of Power Systems & Smart Substations 🔗

Real-Time Simulation for TSO/DSO Networks 🏗️

The Role of Energy Storage in Future Power Systems 🔋

Regulatory Challenges in the Transition to Smart Grids ⚖️

Impact of IEC61850 on Protection & Automation 🔄

Grid Planning Strategies f“Urban Smart Cities”, Sustainable City Development”, Smart City Initiatives, Urban Innovation Awards, Sustainable Urban Planningor Large-Scale Renewable Integration 🌞

EU Research & Innovation Priorities in Energy 🇪🇺

Conclusion

The individual’s impressive educational background, extensive experience, and strong research and innovation record make them an outstanding candidate for the Best Researcher Award. While there are areas for improvement, their strengths and achievements demonstrate their dedication to advancing knowledge and making a positive impact in their field.

Dr. Xiaokang Fu | GIS and Urban Science | Best Researcher Award

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Dr. Xiaokang Fu | GIS and Urban Science | Best Researcher Award

Assoc Prof Dr. Harvard, China

I am a postdoctoral researcher at the Center for Geographic Analysis (CGA) of Harvard University, specializing in GIS, urban computing, social media data mining, and emergency response. My skills include proficiency in Python, Julia, SQL, and JavaScript; data science expertise with PostgreSQL, Heavy.AI, Scikit-learn, Keras, and PyTorch; and experience in AI system development, network analysis, and GIS. I have a strong background in Linux server management, HPC, Docker, Kubernetes, and OpenShift. My educational journey includes a Ph.D. in Cartography from Wuhan University, where I explored urban waterlogging detection using social media. My research has been published in reputable journals such as IEEE Access and Elsevier.

 

Professional Profiles:

 

Google scholar

Education 🎓

2020 Ph.D. in Cartography
Wuhan University, Wuhan, China
Thesis: “Urban Waterlogging Area Detecting Based on Social Media Using Topic Evolution and Multi-modal Feature Fusion”2015 M.A. in Cartography
Wuhan University, Wuhan, China
Thesis: “Detecting Urban Pollution  Using Sina Weibo”2013 B.S. Surveying and Mapping Engineering Technology
Inner Mongolia University of Science and Technology, Baotou, China
Graduation Project: “3D Landscape Modeling of Inner Mongolia University of Science and Technology’s Campus Based on Digital Map”

Professional Skills and Experience 🌟

Programming Languages:
Python, Julia, SQL, JavaScript

Data Science:
PostgreSQL (with PostGIS), Heavy.AI GPU-based database, Machine learning and deep learning (Scikit-learn, Keras, PyTorch), AI system development, Social media analysis, Data mining, Network analysis, GIS, KNIME software

Linux and HPC:
Linux server management, High-Performance Computing (HPC) for deep learning and geospatial computations (Slurm), Docker, Kubernetes, OpenShift, Data crawling

Soft Skills:
Excellent team player, Strong communication skills

Work Experience 👨‍💼

2023 – Present
Center for Geographic Analysis, Harvard, Cambridge – Postdoc

2020 – 2023
State Key Laboratory of Engineering in Surveying, Mapping and Remote Sensing, Wuhan – Postdoc

✍️Publications Top Note :

Using Social Media to Detect Outdoor Air Pollution and Monitor Air Quality Index (AQI): A Geo-Targeted Spatiotemporal Analysis Framework with Sina Weibo

W. Jiang, Y. Wang, M. H. Tsou, X. Fu
PloS One, 10(10), e0141185, 2015
157 Citations

Human Mobility Data in the COVID-19 Pandemic: Characteristics, Applications, and Challenges

T. Hu, S. Wang, B. She, M. Zhang, X. Huang, Y. Cui, J. Khuri, Y. Hu, X. Fu, …
 Journal of Digital Earth, 14(9), 1126-1147, 2021
153 Citations

Human Mobility and COVID-19 Transmission: A Systematic Review and Future Directions

M. Zhang, S. Wang, T. Hu, X. Fu, X. Wang, Y. Hu, B. Halloran, Z. Li, Y. Cui, …
Annals of GIS, 28(4), 501-514, 2022
71 Citations

Understanding the Topic Evolution of Scientific Literatures Like an Evolving City: Using Google Word2Vec Model and Spatial Autocorrelation Analysis

K. Hu, Q. Luo, K. Qi, S. Yang, J. Mao, X. Fu, J. Zheng, H. Wu, Y. Guo, Q. Zhu
Information Processing & Management, 56(4), 1185-1203, 2019
71 Citations

Stream Flow Simulation and Verification in Ungauged Zones by Coupling Hydrological and Hydrodynamic Models: A Case Study of the Poyang Lake Ungauged Zone

L. Zhang, J. Lu, X. Chen, D. Liang, X. Fu, S. Sauvage, J. M. Sanchez Perez
Hydrology and Earth System Sciences, 21(11), 5847-5861, 2017
46 Citations

Inferring Urban Air Quality Based on Social Media

Y. Wang, X. Fu, W. Jiang, T. Wang, M. H. Tsou, X. Ye
Computers, Environment and Urban Systems, 66, 110-116, 2017
31 Citations

T. Wang, Y. Wang, X. Zhao, X. Fu
Computers, Environment and Urban Systems, 71, 88-97, 2018
28 Citations

Precipitation Projections Using a Spatiotemporally Distributed Method: A Case Study in the Poyang Lake Watershed Based on the MRI-CGCM3

L. Zhang, X. Chen, J. Lu, X. Fu, Y. Zhang, D. Liang, Q. Xu
Hydrology and Earth System Sciences, 23(3), 1649-1666, 2019
16 Citations

Assessing Reliability of Chinese Geotagged Social Media Data for Spatiotemporal Representation of Human Mobility

L. Liu, R. Wang, W. W. Guan, S. Bao, H. Yu, X. Fu, H. Liu
ISPRS International Journal of Geo-, 11(2), 145, 2022
10 Citations

Spatiotemporal Characteristics and Factor Analysis of SARS-CoV-2 Infections Among Healthcare Workers in Wuhan, China

P. Wang, H. Ren, X. Zhu, X. Fu, H. Liu, T. Hu
Journal of Hospital Infection, 110, 172-177, 2021
10 Citations

A New Method to Detect the Development Situation of Disasters Based on Social Media Co-Word Network

Y. Wang, M. Li, X. Fu, S. Shao, H. Liu
Geomatics and Science of Wuhan University, 45(5), 691-698, 735, 2020
9 Citations

A Bibliometric Analysis and Network Visualisation of Human Mobility Studies from 1990 to 2020: Emerging Trends and Future Research Directions

S. Wang, M. Zhang, T. Hu, X. Fu, Z. Gao, B. Halloran, Y. Liu
Sustainability, 13(10), 5372, 2021
8 Citations

Community Evolutional Network for Situation Awareness Using Social Media

X. Fu, Y. Wang, M. Li, M. Dou, M. Qiao, K. Hu
IEEE Access, 8, 39225-39240, 2020
7 Citations

A New Social Media Topic Mining Method Based on Co-Word Network

Y. Wang, X. Fu, M. Li
Geomatics and  Science of Wuhan University, 43(12), 2287-2294, 2018
7 Citations