15 Selected candidates (ESRs, Early-Stage Researchers) are expected to enrol in the program by March/April 2021 at the latest. Each ESR will be recruited for 36 months. ESRs will be enrolled in a PhD programme.
UVa – Universidad de Valladolid, Spain
ESR nº: ESR3
Name: Soheil Hosseini
Home Country: IR- Iran
Host Institution: UVa – Universidad de Valladolid, Spain
Main Supervisors: Dr. Ramón J. Durán Barroso & Dr. Noemí Merayo (UVa)
Phd Enrolment University: UVa – Universidad de Valladolid, Spain
Secondment: TID - TU/e - TID
Research Project:
AI-based control method for the optical backhaul of IoTalentum: To design new planning and operation methods based on AI for multicore and elastic optical backhaul networks of IoTalentum architecture. Methods for integration of optical control of access and metro segments. To exploit AI techniques to improve the overall network performance in terms of latency, throughput, cost and energy consumption. Implementation of a simple use-case with developed method in UVa GPON testbed.
Background / Brief biography:
Soheil Hosseini received his bachelor’s degree in Information Technology Engineering in 2014. He then worked for Access Endless Communication Company (AEC), Tehran, Iran where he mainly dealt with the development and establishment of optical network infrastructures. Following one year of industrial experience, he resumed his studies, and received his Master’s in Computer Engineering-Computer Networks from Sahand University of Technology, Tabriz, Iran. He is currently working toward the Ph.D. degree in Telecommunication Engineering. His research interests are mainly focused on optical networking, AI applied to optical systems, optical communications at the network edge supporting 5G/B5G.
Department: Optical Communications Group (GCO-UVa)
Research Field: IoT Infrastructures
Contact: soheil.hosseini@uva.es
ESR nº: ESR5
Name: Maryam Masoumi Estahbanati
Home Country: Iran - IR
Host Institution: UVa – Universidad de Valladolid, Spain
Main Supervisors: Dr. Ramón J. Durán Barroso & Dr. Ignacio de Miguel (UVa)
Phd Enrolment University: UVa – Universidad de Valladolid, Spain
Secondment: WIND - USAL - WIND
Research Project:
SDN for network virtualization in IoTalentum infrastructure:
To develop planning and SDN control algorithms and techniques for IoTalentum networks. Integrate NFV in a distributed computing resources in MEC by means of SDN-based control mechanism.
Background / Brief biography:
I received my bachelor’s degree in Electrical Engineering - Communications from Shiraz University of Technology (SUTECH), Shiraz, Iran and my MSc degree in Communications Engineering from Yazd University, Yazd, Iran. My MSc thesis focused on “Optimal Network Selection in Heterogeneous Multimedia Wireless Networks”. The outcome of my thesis was published in 2 IEEE conferences papers. After graduation from Master education, I was recruited as an R&D expert in BSTC, electrical smart meter manufacturer company (branch of Hexing Electrical Co.) in Iran. I worked on developing IoT platform of smart meters and considering communication protocols and technologies such as LaRaWAN and NB-IoT.
I am is currently pursuing the Ph.D. degree with Universidad de Valladolid. My current research interests include: SDN, VNF placement and resource allocation in MEC.
Department: Escuela Técnica Superior de Ingenieros de Telecomunicación - Universidad de Valladolid Optical Communications Group (GCO-UVa)
Research Field: IoT Infrastructures
Contact: maryam.masoumi@uva.es
ESR nº: ESR7
Name: Hafiza Kanwal Janjua
Home Country: PK-Pakistan
Host Institution: UVa – Universidad de Valladolid, Spain
Main Supervisors: Dr. Ramón J. Durán Barroso & Dr. Ignacio de Miguel (UVa)
Phd Enrolment University: UVa – Universidad de Valladolid, Spain
Secondment: TID - ISEP - Chocolate cloud
Research Project:
Cognitive orchestrator of MEC and network resources:
To develop cognitive control methods based on SDN to operate the IoTalentum architectures (MEC and the underlying network) with the objective of reducing the cost and the energy consumption of the infrastructure. To develop algorithms for load and VM balancing in order to provide Infrastructure as a Service (IaaS) and Software as a Service (SaaS) to final users and objects. Integration and testing of IoTalentum distributed computing infrastructure in DREAM-GO mock-up.
Background / Brief biography :
I completed my MS in information Security from Comsats University of Islamabd (CUI) Pakistan, in 2020. Previously I did my BS degree in Software Engineering from National University of Modern Languages (NUML) in 2016.
The dissertation work of bachelor's and master’s thesis are related to; secure VM migration in cloud federations ,and orchestration of IoT microservices for scalable and proactive log preservation.
I performed my services as Assistant Researcher and Data Scientist for more than three years at Higher Education commission (HEC), and Cyber security Lab at CUI Islamabad, Pakistan respectively. Further, I am currently working as a Ph.D. fellow in the IoTalentum program under the Marie Skłodowska-Curie Actions (MCSA) fellowship in the Department of Telecommunication Engineering at Universidad de Valladolid. My current research interests include Artificial Intelligence, cognitive Resource Orchestration in MEC, SDN & 5G.
Department: Escuela Técnica Superior de Ingenieros de Telecomunicación - Universidad de Valladolid Optical Communications Group (GCO-UVa).
Research Field: IoT Infrastructures
Contact: hafizakanwal.janjua@uva.es
TU/e – Eindhoven University of Technology, Netherlands
ESR nº: ESR1
Name: Catalina-Ioana Stan
Home Country: RO - Romania
Host Institution: TU/e – Eindhoven University of Technology, Netherlands
Main Supervisors: Prof. Idelfonso Tafur Monroy & Dr. Simon Rommel (TU/e)
Phd Enrolment University: TU/e – Eindhoven University of Technology, Netherlands
Secondment: UVa - NVIDIA
Research Project:
Full virtualization of 5G RAN towards white box open infrastructures: To integrate offload layers for user plane functions (UPF) in MEC nodes through hardware offload, allowing hyper-scaling of the manageable throughput while maintaining low latency and reducing the need for load balancers on GPRS Tunneling Protocol (GTP). To analyze the interdependency between throughput and load balancers in MEC hosts, thereby estimating dimensioning properties of the virtualization. To implement a fully-virtualized RAN system for MEC on a smart network interface card with offloading capability maintaining line-rate handling while ensuring processing for VNFs.
Background/Brief biography:
Catalina Stan received the B.S. in technology and telecommunications systems, and the M.S. in services and networks management with the final project focusing on machine learning for mobility in 5G in 2018 and 2020, respectively. Both degrees were received from University Politehnica of Bucharest. She also worked as a radio access engineer for the mobile network operator Orange in Bucharest, Romania. She is currently pursuing her Ph.D. degree with the Eindhoven University of Technology, the Netherlands, in the Electrical Engineering Department. Her current research interests include: edge computing, 5G and quantum-secured communications.
Department: Electrical Engineering
Research Field: IoT Infrastructures
Contact: c.i.stan@tue.nl
ESR nº: ESR2
Name: Oumayma Bouchmal
Home Country: MA - Morocco
Host Institution: TU/e – Eindhoven University of Technology, Netherlands
Main Supervisors: Prof. Idelfonso Tafur Monroy, Dr. Patty Stabile & Dr. Bruno Cimoli (TU/e)
Phd Enrolment University: TU/e – Eindhoven University of Technology, Netherlands
Secondment: NVIDIA - AAU
Research Project:
Improving the flexibility of 5G heterogeneous networks by slicing: To develop a flexible architecture for heterogeneous 5G slices able to pull resources of IoTalentum integrated heterogeneous infrastructure and compose slices allocated to applications. To develop a distributed slice controller employing technologies like Edge Computing, SDN/NFV and AI.
Background/Brief biography:
Oumayma Bouchmal completed her bachelor degree in Physics, specializing in electronics at Abdel Malek Essaàdi University of science in Morocco. She made her Master in telecommunication technologies and networks at Universidad Politécnica de Valencia in Spain, where her final project was design and implementation of a Non-Stand Alone network with OpenAir Interface, and where also she worked on developing some Quantum Machine Learning Algorithm for face recognition application. She is currently pursuing the Ph.D. degree with the Eindhoven University of Technology, the Netherlands, in the Electrical Engineering department. Her current research interests include: Machine Learning, Quantum Machine Learning, SDN and 5G.
Department: Electrical Engineering
Research Field: IoT Infrastructures
Contact: o.bouchmal@tue.nl
ESR nº: ESR10
Name: Carlos Rubio Garcia
Home Country: ES-Spanish
Host Institution: TU/e – Eindhoven University of Technology, Netherlands
Main Supervisors: Prof. Idelfonso Tafur Monroy & Dr. Simon Rommel (TU/e)
Phd Enrolment University: TU/e – Eindhoven University of Technology, Netherlands
Secondment: AAU - Cryptera
Research Project:
Quantum secured data communication for IoTalentum control plane: To conceive and experimental validate a secure data transmission link using vortex beam signaling both in wireless and optical fibre transmission ink. A novel approach based on the combination of technologies such as vortex transmission, sub-carrier multiplexing and hybrid photonic-electronic generation will be considered, in Telecom wavelength compatible with IoTalentum optical backhaul networks.
Background/Brief biography:
Carlos Rubio Garcia attended Newman University, in Wichita, KS in the United States thanks to an athletic scholarship to play soccer. There, he completed a BS in Information Technology and a BS in Management Information Systems. After that, he came back to Spain, where he attended the Universidad de Sevilla and completed a MSc in Intelligent Systems for Energy and Transport, with a specialization in Smart Cities. His final project was the development of a open API platform for IOT systems. Fiware, integrated together with other IOT software, allows for the collection, integration, analysis and use of data generated by several Smart Parkings around the city of Sevilla, using different tool such as Orion, Quantumleap, Cygnus or Draco. His current research interests include Quantum cryptography, SDN and quantum-secured data communications.
Department: Electrical Engineering
Research Field: Cybersecurity
Contact: c.rubio.garcia@tue.nl
AAU – Aalborg University, Denmark
ESR nº: ESR9
Name: Mieszko Jan Ferens Michalek
Home Country: ES-Spain
Host Institution: AAU – Aalborg University, Denmark
Main Supervisors: Prof. Knud Erik SKOUBY
Phd Enrolment University: AAU – Aalborg University, Denmark
Secondment: TU/e - Cryptera
Research Project:
Cybersecurity for IoT at hardware level in IoTalentum infrastructure: To identify and analyse security challenges at the hardware level in IoTalentum ecosystem providing an in-depth technical analysis of different available and upcoming hardware security technologies, such as secure boot and ARM TrustZone®, relevant for IoT devices and applications. To develop a security architecture that encompasses the devices and the network infrastructure elements
Background/Brief biography:
CMIESZKO JAN FERENS MICHALEK completed his BSc and MSc degrees at the University of Valladolid (UVa) in Valladolid, Spain, in 2020 and 2022, respectively. The specialisation of these studies was on Electrical Engineering (Telecommunication Engineering), where heavy focus was placed on AI, especially Reinforcement Learning, applied to communications networks during both final proyects. During his final year at university he participated in the Vulcanus in Japan programme, with an internship at NTT Data Corporation's Technology and Innovation Headquarters. Currently, he is working as a PhD fellow in the IoTalentum programme under the Marie Skłodowska-Curie Actions (MSCA) fellowship at the Department of Electronic Systems (ES), Communication, Media, and Information technologies (CMI), Aalborg University (AAU) Copenhagen, Denmark. His research interests are in Machine Learning, Cybersecurity, Internet of Things (IoT) and Edge Computing.
Department: Center of Communication, Media and Information Technologies
Research Field: Cybersecurity
Contact:
mjfm@es.aau.dk
mieszko.ferens@gmail.com
https://www.linkedin.com/in/mieszko-jan-ferens-michalek-7b4149243/
https://www.researchgate.net/profile/Mieszko-Ferens-Michalek
ESR nº: ESR11
Name: Muhammad Waleed
Home Country: PK-Pakistan
Host Institution: AAU – Aalborg University, Denmark
Main Supervisors: Dr. Sokol Kosta & Prof. Knud Erik Skouby (AAU)
Phd Enrolment University: Aalborg University (AAU), Copenhagen Denmark
Secondment: TU/e - Cryptera
Research Project:
Security in thing-to-cloud IoTalentum architectures for IoT ecosystems: To identify and describe new models mapping, quantifying, forecasting and ensuring adequate levels of privacy and security within the distributed computing centers the IoTalentum cloud-to-thing continuum. To develop and testing of a hardware-free identification tool for computing centers to increase the level of security and privacy of collected data in IoT virtual environments.
Background/Brief biography:
MUHAMMAD WALEED received the B.Sc. and M.Sc. degrees from the University of Engineering and Technology (UET) at Peshawar, Pakistan, in 2014 and 2017, respectively, where his master thesis was on the Quick Convergence of PSF estimation for Single Image Blind Deblurring. He then joined the Trust Data Analytics and Management Lab as a Researcher in the Department of Information and Communication Engineering, Chosun University, South Korea. Further, he is currently working as a Ph.D. fellow in the IoTalentum program under the Marie Skłodowska-Curie Actions (MCSA) fellowship in the Department of Electrical and Electronic Engineering, Communication, Media, and Information technologies (CMI) Aalborg University (AAU) Copenhagen, Denmark. His research interests include cyber security, the Internet of Things, machine learning, trust management, and network communication. He is also interested in future networks, particularly edge computing and mobile communication.
Department: Center of Communication, Media and Information Technologies
Research Field: Cybersecurity
Contact:
muhammadw@es.aau.dk
mwkhanscorp@gmail.com
https://www.linkedin.com/in/muhammad-waleed-khan-7a953397
https://www.researchgate.net/profile/Muhammad-Waleed-5
WINDTRE – Wind Tre S.p.A, Italy
ESR nº: ESR4
Name: Mohammadreza (Reza) Taghilu
Home Country: IR- Iran
Host Institution: WINDTRE – Wind Tre S.p.A, Italy
Main Supervisors: Gianluca Rizzi (WINDTRE)
Phd Enrolment University: UVa – Universidad de Valladolid, Spain
Secondment: UVa - USAL - UVa
Research Project:
Fast instantiation of VNFs in a real 5G deployment: To study the enhancements to support the fast instantiation of VNFs for 5G networks and its relations with the distributed processing infrastructure of IoTalentum to reduce the latency and improve the quality of the experience. To evaluate how an end-to-end orchestration of infrastructure and services (supported by big data from monitoring) should assure a reliable deployment and execution of new 5G services in a few vertical contexts like media and energy and how to manage the lifecycle of those services.
Background/Brief biography:
After graduation from school system in SAMPAD [Abbr. in Persian] a.k.a. NODET (National Organization for Development of Exceptional Talents) in 2003, I studied through my Bachelor's in Computer engineering - Software up to 2008, with a part-time experience in Network administration, in Iran. Then, I tried Master's level applications, receiving 4 admissions from Germany, Sweden and Finland. Eventually, I ended up in Uppsala/Sweden, which also led me to a working experience in real-world Telecom R & D. Following graduation in Sweden, I started working in MTN-Irancell as a performance engineer, this time with a bit more lean towards business-oriented approaches. Subsequently, before and while applying for this ESR position, I took and got admitted to 2 nationwide qualification exams for permanent jobs of public sector, along with doing some freelance activities. Having become much more enthusiastic about industrial research, I got motivated to apply for PhD positions, especially with industrial characteristics, besides studying for GRE exam as entrance pre-requisite for US/Canada PhD programs. I am now investigating Network Function Virtualizations (NFV) and their Management and Orchestration (MANO) methodologies used for agile, fast, and optimum resource consumption and allotment accompanying their evaluative prospects for NGN, namely 5G/IoT, as my PhD program.
Department: Center of Communication, Media and Information Technologies
Department: Technology Architecture & Governance
Research Field: IoT Infrastructures
Contact:
m.r.taghilu@gmail.com
mohammadreza.taghilu@windtre.it
https://ir.linkedin.com/in/mreza-taghilu
TID – Telefonica I+D, Spain
ESR nº: ESR6
Name: Liesbeth Roelens
Home Country: BE-Belgium
Host Institution: TID – Telefonica I+D, Spain
Main Supervisors: Dr. Óscar González de Dios (TID)
Phd Enrolment University: UVa – Universidad de Valladolid, Spain
Secondment: UVa - ISEP - UVa
Research Project:
Resilient self-Learning software-defined 5G-ready transport network: To design novel data models and AI/ML techniques for end-to-end IP/MPLS 5G ready transport network of the backhaul of IoTalentum architecture. To prototype and evaluate telemetry collection and novel control methods that auto-adjust the behaviour.
Background/Brief biography:
Liesbeth Roelens received the B.S. degree in Electromechanical Engineering and the B.S. degree in Electrical Engineering respectively in 2018 and 2019. She received the M.S. degree in Electrical Engineering, with specialization in Communication & Information Technology, in 2021. The degrees were obtained at the University of Ghent in Belgium. Currently, she is working as an industrial Ph.D. fellow under the IoTalentum program. The position is based at Telefónica I+D in Madrid. She is enrolled at the University of Valladolid to obtain the Ph.D. degree. Her research interests include network communication, SDN, 5G and machine learning.
Department: Transport Technology and Optimization; Laboratory
Research Field: IoT Infrastructures
Contact: liesbeth.roelens@telefonica.com
AU – Aarhus Universitet, Denmark
ESR nº: ESR8
Name: Francesco Taurone
Home Country: IT-Italy
Host Institution: AU – Aarhus Universitet, Denmark
Main Supervisors: Prof. Daniel E. Lucani Rötter (AU)
Phd Enrolment University: AU – Aarhus Universitet, Denmark
Secondment: Chocolate cloud – Uva
Research Project:
Privacy-by-design compression, sharing, and processing of IoT data in IoTalentum architecture: To design, implement and evaluate secure data sharing and controlled, privacy-preserving processing of IoT data using the cloud-to-thing IoTalentum infrastructure, trusted execution environments (e.g., Intel SGX), local computing resources, and judicious allocation of data. To investigate compression techniques that allow for processing directly on compressed data as a way to reduce data traffic and memory usage, both in local, MEC, and cloud devices in order to address the explosion in generated data worldwide.
Background/Brief biography:
Francesco Taurone received both B.S and M.S in Automation Engineering from the University of Bologna, Italy. His thesis focused on pose estimation techniques for robotic manipulators using deep learning. Before IoTalentum, Francesco worked as software developer in the automatic machines industry.
Department: Department of Engineering - Aarhus University
Research Field: IoT Infrastructures
Contact: francesco.taurone@ece.au.dk
USAL – Universidad de Salamanca, Spain
ESR nº: ESR12
Name: Mahmoud Abbasi
Home Country: IR-Iran
Host Institution: USAL – Universidad de Salamanca, Spain
Main Supervisors: Prof. Juan Manuel Corchado & Dr. Javier Prieto (USAL)
Phd Enrolment University: USAL – Universidad de Salamanca, Spain
Secondment: Digitel TS - ISEP - PH Energia
Research Project:
Blockchain applications in the IoTalentum infrastructure: To develop a benchmarking platform and testbed to test trusted communications in IoT using the distributed ledger. To optimize the trade-off between the intricateness of the proof of work in blockchain technology and the cost (both computation and monetary) of the transaction. Integration and testing of the security technique in DREAM-GO mock-up.
Background/Brief biography:
I have a master's degree from Islamic Azad University of Mashhad, Iran (Department of Computer Engineering). I received my B.Eng from Department of Computer Engineering, Islamic Azad University of Birjand, Iran. My MSc thesis focused on electricity load forecasting in residential sector. My research interests are in the general area of communication systems and networks, Machine Learning (ML), Deep Learning (DL), Blockchain (BC). I've published over 10 papers on peer reviewed journals and international conferences. I am currently pursuing a Ph.D. degree at Universidad de Salamanca. I am working on BC technology for IoT security.
Department: Bioinformatic, Intelligent Systems and Educational Technology
Research Field: Cybersecurity
Contact: mahmoudabbasi@usal.es
ESR nº: ESR14
Name: Sebastian López Florez
Home Country: CO - Colombia
Host Institution: USAL – Universidad de Salamanca, Spain
Main Supervisors: Prof. Juan Manuel Corchado & Dr. Javier Prieto (USAL)
Phd Enrolment University: USAL – Universidad de Salamanca, Spain
Secondment: Digitel TS - ISEP - PH Energia
Research Project:
Smart Grids: Secured management of energy resources in smart neighbourhoods by mean of IoT devices: To design a collaborative environment able to monitor and measure the energy produced and consumed by different users and create an automated system for the “invoicing” of a balance, resulting from the interaction of the user with this pool of energy. To demonstrate the application of blockchain and IoT for handling an energy hub (microgrid). Integration and testing of IoTalentum infrastructure in DREAM-GO mock-up.
Background/Brief biography:
I received my degree in Mechatronics Engineering and the MSc degree in Electrical Engineering with the final project focusing on Computer Vision for detection of scenes from object semantics. Both degrees were received from Universidad Tecnológica de Pereira (UTP). I am interested in developing flexible, interpretable, and scalable machine learning models, often involving deep learning, Gaussian processes, and kernel learning. I am interested in developing methods that impact society , while at the same understanding why the methods work, and the foundations for building models that learn and generalize. I am especially excited about how to solve problems with an eye toward mathematics and how it influences the application of interpretable models such as probabilistic generative models, physics inspired methods, and Bayesian methods in deep learning. My work has been applied to time series, vision, NLP, public policy, medicine.
Department: Bioinformatic, Intelligent Systems and Educational Technology
Research Field: Applications – Smart Grids
Contact:
sebastianlopezflorez@usal.es
https://www.linkedin.com/in/sebastian-lopez-florez-b50002125
ISEP – Instituto Superior de Engenharia do Porto, Portugal
ESR nº: ESR13
Name: Ubaid ur Rehman
Home Country: PK - Pakistan
Host Institution: ISEP – Instituto Superior de Engenharia do Porto, Portugal
Main Supervisors: Zita Vale (ISEP)
Phd Enrolment University: USAL – Universidad de Salamanca, Spain
Secondment: PH Energia - USAL
Research Project:
Smart Grids: IoT for smart homes in the context of smart grids: To develop an architecture for IoT devices in smart homes compliant with IoTalentum access network for efficient communications in smart grids paradigm. To test different IoT devices for energy consumption monitoring and control to support the activation of demand response events, compliant with IoTalentum infrastructure. Integration and testing of IoTalentum infrastructure (particularly the smart-home architecture designed) in DREAM-GO mock-up.
Background/Brief biography:
Ubaid ur Rehman has received his Bachelor and Master Degrees in Electronics and Electrical System Engineering with Academic Excellence, form the Department of Engineering and Information Technology, University of Lahore, Pakistan, in 2016 and 2019 respectively. He has been working as the smart energy systems researcher at the National University of Science and Technology and University of Lahore, Pakistan. During his professional career he has contributed as a leading researcher in several research projects related to smart grid optimization and published over 20 research articles as first author in well reputed ISI indexed Journals and IEEE Conferences. He is currently pursuing for PHD degree at the University of Salamanca, Spain.
Department: GECAD - Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development
Research Field: GECAD - Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development, Smart Grid Applications
Contact: ubaid@isep.ipp.pt
Simples Energia – PH Energia, Portugal
ESR nº: ESR15
Name: Danny Bwalya
Home Country: ZM - Zambia
Host Institution: Simples Energia – PH Energia, Portugal
Main Supervisors: Jessica Chaves and Manuel Acevedo
Phd Enrolment University: USAL – Universidad de Salamanca, Spain
Secondment: ISEP - USAL
Research Project:
Smart Grids: Designing new aggregation models for Smart Grids: To develop aggregation models and algorithms with different objectives according to the consumers characteristics. To identify synergies and opportunities of cooperation between buildings and between consumers in the same or in different buildings. To analyze the aggregation small energy consumers in the participating in Regulating Reserve. To define business models considering the interactions between different consumers and/or buildings for the participation in DR programs. Integration of aggregation models in DREAM-GO mock-up
Background/Brief biography:
Danny is a built environment professional with 7+ years of experience in multiple facets of architecture, civil engineering and smart cities. He holds a MSc degree in Smart Cities and Communities (Erasmus+ at Heriot Watt University, UK; UMONS, Belgium; UPV/EHU, Spain), specializing in energy efficiency in buildings, renewable energy – solar PV and smart grids. He also holds a MEng in Architecture and Civil Engineering from Southeast University in China and a BSc in Architecture from Universidad Central de Las Villas in Cuba. He has previously done research on Sponge Cities, Sustainable Drainage Systems (SuDS), Stormwater Treatment, Harvesting and Management. He is currently a researcher at Simples Energía – PH Energía, Portugal and a PhD fellow at the Department of IT and Automation of the Universidad de Salamanca in Spain, under the IoTalentum Project and the Marie Skłodowska-Curie Actions (MSCA) program. His research interests are in Smart Grids, Smart Cities, Renewable Energy (solar PV) and Energy Markets. As a lifelong learner, Danny always remains open to new challenges and is driven by the prospect of assimilating new things along the way. Just as important, he loves to travel, talk to people, practice and watch sports.
Department: Department of R&D
Research Field: Applications – Smart Grids
Contact:
danny.bwalya@energiasimples.pt
dannybwalya5@gmail.com
https://www.linkedin.com/in/danny-bwalya-architect/
https://www.researchgate.net/profile/Danny-Bwalya