MEET THE EXPLORERS - MISSION #1

 
Khulan Batbayar

Khulan Batbayar

RESEARCHER

Universitat Politecnica de Catalunya
SPAIN

FOCUS AREA Cloud/ Edge Computing

PROJECT TITLE
Sense-Share-Select: distributed collaborative Internet gateway selection algorithm

ABOUT

Shared Internet gateways are important for providing open, free and neutral Internet access. Pooling them allows to share spare Internet connectivity among neighbors and are therefore particularly useful and cost-effective for underserved communities. We propose a lightweight Sense-Share-Select gateway selection algorithm based on active, collaborative performance monitoring to improve the Quality of Experience of the user nodes each node by providing tailored Internet gateway performance measurements.

BIO

Ph.D. student at Universitat Politecnica de Catalunya and Universite Catholique de Louvain. Her research work is focused on reliable lightweight Internet gateway selection.

Ioannis Chatzigiannakis

Ioannis Chatzigiannakis

INNOVATOR

Spark Works ITC Ltd
ITALY

FOCUS AREA AI

PROJECT TITLE
Enabling High-accuracy Heart-Monitoring Wearable Devices using Embedded Artificial Intelligence

ABOUT

Sudden cardiac death and arrhythmia represent a major worldwide public health problem, accounting for 15–20% of all deaths. Most of these deaths could be avoided if the arrhythmias were diagnosed earlier, yet the broad availability of low-cost diagnostic tools remains poor, resulting in overall poor survival to patients. SPARKS delivers a light-weight wearable vest that incorporates an Artificial Neural Network that allows on-the-spot, reliable, accurate and instant interpretation of high-definition electrocardiography recorded by onboard sensors.

BIO

Developing evidence-based, scientifically validated digital therapeutics by embedding artificial intelligence on miniature wearable devices.

Iñaki Eguia

Iñaki Eguia

INNOVATOR

RKL Integral S.C.P.
SPAIN

FOCUS AREA Cybersecurity

PROJECT TITLE
VES – Virtual Ecosystem for Safety & Security

ABOUT

VES is a strategic model for integral security management. Internet of Everything generates billions of datasets, forcing to accelerate the digital transformation of organizations. (Cyber)Security sector must not be alien. Problems: 1) No Safety/Security and Logical/Physical holistic view; 2) Risk Analysis are statically implemented; 3)  Heterogeneity in legal frameworks; 4) Security and Safety not aligned with objectives. To solve this, VES is formed by an IoT Risk Analysis module, Automation module for workflow, Machine Learning and Predictive Governance-based frontend.

BIO

CTO RKL Integral VES solution visionary, architect. ICS Cybersecurity Pentester and IEC 62443 expert

 
Aurora González-Vidal

Aurora González-Vidal

RESEARCHER

University of Murcia
SPAIN

FOCUS AREA AI

PROJECT TITLE
Knowledge transfer between buildings with different levels of sensorization using transfer learning techniques for the realization of smart buildings

ABOUT

A transfer learning system for sharing knowledge between buildings can optimize sensor deployments. We will consider physical and geospatial information, monitored data and models for creating a network of buildings able to exchange information according to their similarities. This network will be used to transfer model's parameters for prediction, clustering and processes automation. We would also send recommendations from highly monitored buildings to their less sensorized acquaintances.

BIO

Data Analytics specialist, including machine learning, time series representation, missing values imputation and anomaly detection for IoT smart scenarios.

Akram Hakiri

Akram Hakiri

RESEARCHER

ISSAT Mateur of University of Carthage
TUNISIA

FOCUS AREA Cloud/Edge Computing

PROJECT TITLE
SmartNet: Building an Intelligent System for Cognitive Edge Network Programmability and Autonomous Adaptability

ABOUT

SmartNet builds on cutting-edge technologies such as smart connectivity and predictive analytics to develop a cognitive framework that enables autonomic infrastructure management. This convergence will lead to “thinking” networks and systems that dramatically make SmartNet poised to offer a powerful new generation of flexible and intelligent Fog networks for myriad of applications from connected industry, to medical, ultimately powering a broad range of autonomous and self-optimizing systems.

BIO

Eager to develop novel solutions to emerging challenges in Next Generation Internet, and impatient to innovate in Next Level IoT systems.

Michal Kedziora

Michal Kedziora

RESEARCHER

Wroclaw University of Technology
POLAND

FOCUS AREA Cybersecurity

PROJECT TITLE
New methods and algorithms for increasing Cybersecurity in Blockchain Technology

ABOUT

Research Cybersecurity issues of Blockchain technology. I will implement testing environment to analyze and assess behavior of complex Blockchain system during simulated attacks. Methods to monitor and analyze potential attacks on blockchain network will be developed and tested increasing cybersecurity of business application of this technology

BIO

Research Assistant at Wroclaw University of Science and Technology. My research area includes Computer Security, Blockchain and AI

 
Christian Kudera

Christian Kudera

RESEARCHER

SBA Research
AUSTRIA

FOCUS AREA IoT

PROJECT TITLE
Automated Firmware Crawling, Firmware Virtualization and Honeyfarm Deployment of IoT Devices

ABOUT

During my expedition, I’m going to design a framework that automatically creates target device tailored honeypots for the (Industrial) Internet of Things without any further knowledge about the firmware. Honeypots are a common practice in the area of cybersecurity, but due to the heterogeneous landscape of IoT devices, up to now there is no generic honeypot framework that is capable of attracting attacks for the wide variety of IoT architectures.

BIO

A security enthusiast and researcher, mainly interested in (Industrial) Internet of Things and embedded systems security

Cristina Marquez

Cristina Marquez

RESEARCHER

Universidad Carlos III de Madrid
SPAIN

FOCUS AREA 5G

PROJECT TITLE
Dynamic evolution of mobile traffic data around the world

ABOUT

The interactive map I would develop covers different parameters and statistics of past, current and future estimated mobile networks. The purpose of this tool is to make an interactive graph that could help tenants, operators and users to understand and to predict how new generation of networks will behave given current and past data of different services and applications. Furthermore, we could answer the social-based question: do apps decide our habits, or do we choose our apps?

BIO

Versatile and multitalented engineer with a restless mind. During my career, I have always wanted to bring the future to the present. Hence, my areas of interest are 5G Networks and Big Data.

Erma Perenda

Erma Perenda

RESEARCHER

KU Leuven, Department of Electrical Engineering
BELGIUM

FOCUS AREA 5G

PROJECT TITLE
RF Spectrum Deep Insight

ABOUT

RF spectrum deep insight project is seeking for a robust and cost-efficient solution for multi-transmitter modulation classification and transmitters identification. The goal of the project is to achieve this on real data obtained from sensors in the field. Such data are in general noisy, incomplete and can contain unknown or jamming signals. The resulting solution will enable to support many applications in practice for which spectrum awareness is crucial such as DSA in 5G and beyond networks.

BIO

PhD student at KU Leuven. Her research interests include spectrum measurement and management, wireless network optimization and architecture design

 
Martin Serrano

Martin Serrano

RESEARCHER

National University of Ireland Galway
IRELAND

FOCUS AREA IoT

PROJECT TITLE
Scale-Up KPI Explorer

ABOUT

Smart cities represent the ultimate urban development vision of modern cities in their effort to deal with demographic change, urbanisation, climate change, public safety and globalisation. Next generation Internet technologies are among the main vehicles for realising this vision. Scale-Up KPI Explorer will enhance cities’ innovation capacity by endowing to the inhabitants the capacity to auto-evaluate and measuring the city development using holistic KPIs as metrics, while at the same time enabling cities to meet strategic goals.

BIO

A critical thinker, innovator and passionate for coaching and mentoring, he is always focused on conducting world-class innovation activities, looking always to advance the state of the art in technology and provide a vision towards transforming knowledge into industrial solutions and/or services

Mohit Taneja

Mohit Taneja

RESEARCHER

Waterford Institute of Technology
IRELAND

FOCUS AREA Cloud/Edge Computing

PROJECT TITLE
Allocation of Fog Resources to IoT Edge Devices

ABOUT

With more devices onboard the Internet every day, there is a constant drive to balance QoS with efficient use of resources. In the IoT era, these devices along the things-to-cloud continuum, present a unique opportunity to additionally serve as computing hubs. Termed Fog computing, this paradigm can be used to host applications and process data closer to the source. The aim is to use AI and optimization methods to achieve an efficient and dynamic allocation of fog resources to such applications.

BIO

An experienced software research engineer and a PhD researcher working on data analytics and resource management in fog computing.

Asad Tirmizi

Asad Tirmizi

RESEARCHER

Flanders Make
BELGIUM

FOCUS AREA 5G

PROJECT TITLE
5G for safe robot control

ABOUT

Robotics and 5G is a key technology combination that can improve flexibility in manufacturing by replacing robot controllers with edge-computing, reducing robot setup times, and making their solutions more scalable. The first step towards this vision requires safe and reliable robot operations over 5G. My expedition's objective is to understand and remove barriers that exist in achieving real-time wireless robot control. This will be a step for factories towards batch size zero production.

BIO

Researcher at Flanders Make with a PhD in Robotics. He researches on real-time interaction with robot coworkers that can perform tasks intuitively