International Women in Engineering Day, brought to you by the Women’s Engineering Society (WES) is celebrating in 2023 its 10th year and figures as of June 2021 show that 16.5% of engineers are women. INWED gives women engineers around the world a profile when they are still hugely under-represented in their professions.
In TeraFlow we want to take this opportunity to give visibility to the work and publications of some of the amazing women in engineering that have contributed to TeraFlow success along the project lifetime.
And also join #INWED23 celebrations and get involved!
Recent posts
Hanne-Stine Hallingby
Hanne-Stine Hallingby is an experienced telecommunication market expert who currently works making 5G a success. She is a senior research scientist engaged in EU and Telenor projects on 5G pilots, business customer requirements, and business models; more particularly, she applies her field of expertise to explore the 5G ecosystem hurdles and enablers for growth. From 2020 she is chairing a 6G IA sub-working group Business Validation, Models, and Ecosystems.
Prior to her current position as researcher, Hanne-Stine worked for 15 years in Telenor as a project leader and consultant with business development and change processes. She has recently defended her Industrial PhD in Innovation studies. In parallel she publishes articles in journals such as Telematics and Informatics, MIS Quarterly Executive, Technology Analysis & Strategic Management and is frequently invited to attend reputated conferences as a keynote speaker.
Her main contribution to TeraFlow is related to the creation of its business models and also reflect about partnerships and ecosystems.
Min Xie
Min Xie is a distinguished senior research scientist at Telenor Research, where she spearheads research and development activities related to next-generation technologies for the deployment of 5G and beyond. She obtained her M.Sc. in Electrical Engineering from Xidian University in Shaanxi, China, as well as the National University of Singapore. Throughout her career, Min has held various academic positions, including research associate at the University of Notre Dame, research fellow at University College London, lecturer at University Centre Blackburn, and Adjunct Associate Professor at Norwegian University of Science and Technology (NTNU).
With a broad range of expertise, Min Xie's research interests encompass cutting-edge areas such as NFV (Network Function Virtualization), SDN (Software-Defined Networking), network slicing, service assurance, QoS (Quality of Service), and QoE (Quality of Experience). Her work at Telenor focuses on advancing these fields and exploring novel approaches to enhance network performance, optimize resource allocation, and ensure superior user experiences. Through her contributions and commitment to pushing the boundaries of telecommunications, Min Xie plays a pivotal role in TeraFlow and in the aim of shaping the future of next-generation technologies.
For TeraFlow, Min Xie is the main author of the paper “Intent-Driven Management for Multi-Vertical End-to-End Network Slicing Services” presented in 2022 IEEE Globecom Workshops and she is also co-author of the following papers:
- Towards Assessing Effects of Isolation on Determinism in Multi-Application Scenarios published in FIRA '22: Proceedings of the ACM SIGCOMM Workshop on Future of Internet Routing & Addressing
- QoS-Aware Inter-Domain Connectivity: Control Plane Design and Operational Considerations, presented in IFIP/IEEE FlexNGIA Workshop 2022
- End-to-end Interdomain Transport Network Slice Management Using Cloud-based SDN Controllers, published in 2022 27th OptoElectronics and Communications Conference (OECC) and 2022 International Conference on Photonics in Switching and Computing (PSC)
- ETSI TeraFlowSDN: the SDN Controller for the Beyond 5G/6G Era published in IEEE Communications Standards Magazine
Download and read in open access some of her papers and more scientific publications about TeraFlow here:
Esther Garrido
Esther Garrido Gamazo is Business Consultant at Atos Research and Innovation. She received her Diploma of Telecommunications Engineering from the University of Valladolid in 1997 after presenting her Final Year Project in the Fachhochschule Mannheim (Germany), where she started her professional activity as a software developer. Since 2015 she is working at Atos Research and Innovation focused on exploitation/sustainability activities within European research projects in the area of Smart Networks and Services in the Telecom sector.
In the context of the TeraFlow project, Esther Garrido is the leader of WP6 Standardisation, Dissemination and Exploitation. She has played a pivotal role in project exploitation and business joint planning. She has been instrumental in fostering collaboration, ensuring smooth communication, and facilitating the exchange of ideas and resources between different organizations involved in the project. Her efforts have strengthened the project's exploitation strategies, fostering the development of business plans that align with the project's goals and objectives. Esther's expertise in project management and her ability to navigate complex business landscapes have contributed to the successful implementation and progression of the TeraFlow project.
Marija Furdek
Dr. Marija Furdek received the Dipl.-Ing. and the Ph.D. degrees in electrical engineering from the Faculty of Electrical Engineering and Computing, University of Zagreb, Croatia, in 2008 and 2012, respectively. Since 2019, she has been an Assistant Professor at Chalmers University of Technology in Gothenburg, Sweden.
Previously, 2013-2019, she was with the Optical Networks Lab (ONLab) at KTH Royal Institute of Technology in Kista, Sweden. She was a visiting researcher at Massachusetts Institute of Technology, USA, Telecom Italia, Italy, and Auckland University of Technology, New Zealand. She has authored over a hundred publications in leading international journals and conferences. Her research interests include the design and optimization of high-performance optical networks supporting next generation services and AI-enabled physical-layer security and reliability.
Dr. Furdek is a Senior Member of Optica and IEEE. She is a board member of the IEEE Sweden section VT/COM/IT chapter. She is an editor of the IEEE/Optica Journal of Optical Communications and Networking and of Springer Nature Photonic Network Communications. She was a guest editor of IEEE/Optica Journal of Lightwave Technology and of Elsevier Optical Fiber Technology. Dr. Furdek is the Principal Investigator of the project Safeguarding Optical Communication Networks from Cyber-Security Attacks, funded by the Swedish Research Council. She is the technical direction manager for the Swedish consortium of the Celtic Next flagship project AI-NET-PROTECT. As PI, work package leader and/or researcher, she has been contributing to over a dozen national and international scientific projects with academia and industry partners. She is a TPC Co-Chair of EuCNC & 6G Summit 2023 and was a General Co-Chair of IEEE ONDM 2021 and the NETWORKS meeting at the Optica Advanced Photonics Congress 2016-2019. She received a Ph.D. thesis award in 2013, the 2013 Fabio Neri Best Paper Award of the Optical Switching and Networking journal, and best paper awards at MIPRO 2011, ACP 2011, RNDM 2017 and Optica Advanced Photonics Congress 2018.
Within the TeraFlow project, Marija Furdek has co-authored several scientific papers related to TeraFlow, including
- Towards Assessing Effects of Isolation on Determinism in Multi-Application Scenarios for FIRA '22: Proceedings of the ACM SIGCOMM Workshop on Future of Internet Routing & Addressing
- Workshop: From 5G to 6G Automated and Intelligent SecuriTy: FAST. Cloud-Scale SDN Network Security in TeraFlow for European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit 2021)
- Autonomous Security Management in Optical Networks for OFC 2021 - The Optical Networking and Communication Conference & Exhibition
- Microservice-Based Unsupervised Anomaly Detection Loop for Optical Networks for OFC 2022 - The Optical Networking and Communication Conference & Exhibition
- Demonstration of a Scalable and Efficient Pipeline for ML-based Optical Monitoring for OFC 2023 - The Optical Networking and Communication Conference & Exhibition
- Scalable Physical Layer Security Components for Microservice-Based Optical SDN Controllers for 2021 European Conference on Optical Communication (ECOC)
- Flexible and scalable ML-based diagnosis module for optical networks: a security use case, published in Journal of Optical Communications and Networking, 2023
Download and read in open access some of her papers and more scientific publications about TeraFlow here:
Jane Frances Pajo
Jane Frances Pajo received the B.Sc. degree (cum laude) in electronics and communications engineering from the Mindanao State University-IIT, Philippines, in 2010, and the M.Sc. (cum laude) and Ph.D. (Europaeus) degrees in telecommunications engineering from the University of Genoa, Italy, in 2015 and 2019, respectively. She held a Postdoctoral Research Fellowship with the TNT Laboratory, DITEN Department of the latter institution. She also worked with the CNIT S2N National Laboratory, Genoa. In 2019 she received the IEEE Italy Section ABB Award for her PhD Thesis "Enabling Scalable and Sustainable Softwarized 5G Environments" at IEEE RTSI 2019. She is currently with Telenor Research, Fornebu, Norway. Her research interests include applications of network softwarization technologies and artificial intelligence for network/service management and orchestration.
Jane Frances Pajo has made valuable contributions to the TeraFlow project as a coauthor of several papers directly related to TeraFlow. Her coauthorship in papers such as "Towards Assessing Effects of Isolation on Determinism in Multi-Application Scenarios", "QoS-Aware Inter-Domain Connectivity: Control Plane Design and Operational Considerations" and "End-to-end Interdomain Transport Network Slice Management Using Cloud-based SDN Controllers" demonstrates her involvement in critical areas of the project. These papers have contributed to the advancement of TeraFlow by addressing various challenges such as assessing determinism in multi-application scenarios, designing control planes for inter-domain connectivity and managing transport network slices using cloud-based SDN controllers.
Download and read in open access some of her papers and more scientific publications about TeraFlow here:
Marija Gajić
Marija Gajić is an accomplished Assistant Professor in the Department of Information Security and Communication Technology at the Norwegian University of Science and Technology (NTNU). With a strong educational foundation in Telecommunications and Engineering from the University of Maribor, she further expanded her expertise by obtaining an MSc in Telematics, specializing in Computer Systems Networking and Telecommunications.
Within her research, Marija concentrates on the intersection of artificial intelligence and network management. Her primary focus lies in exploring the applications of machine learning in the management of QoE-aware 5G+ systems and services. Through her work, she strives to optimize network performance and enhance the quality of experience for users. Her expertise and dedication contributes to the advancements in intelligent network management, shaping the future of telecommunications and ensuring the efficient operation of cutting-edge 5G+ technologies.
Marija is the main author of the following Demo Track Paper with acknowledgement to TeraFlow: “Demonstrating QoE-aware 5G Network Slicing Emulated with HTB in OMNeT++” that was presented in IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops. She is also coautor of “Using 5G QoS Mechanisms to Achieve QoE-Aware Resource Allocation” for 2021 17th International Conference on Network and Service Management (CNSM), 2021, and “HTBQueue: A Hierarchical Token Bucket Implementation for the OMNeT++/INET Framework” for 8th OMNET++ community summit - September 2021
Download and read in open access some of her papers and more scientific publications about TeraFlow here:
Giorgia Azzurra Marson
Giorgia Azzurra Marson received the master’s degree in mathematics from the Sapienza University of Rome, Italy, in 2011, and the PhD degree in computer science from TU Darmstadt, Germany, in 2016. She worked as a postdoctoral researcher with Ruhr University Bochum, in 2017. Currently she is working as a research scientist with the security group of NEC Laboratories Europe. Her research interests include blockchain security and cryptography.
She is the main author of “MITOSIS: Practically Scaling Permissioned Blockchains”, published in ArXiv Computer Science, Cryptography and Security, a paper with acknowledge to TeraFlow.
Read her paper and more scientific publications about TeraFlow here:
Sandra Gómez-Canaval
Sandra Gómez-Canaval received the M.Sc. degree in software engineering and the Ph.D. degree in computer science and artificial intelligence from the Universidad Politécnica de Madrid (UPM). She is currently an Associate Professor in the Universidad Politécnica de Madrid. She is Coordinator of Software Engineering Degree in UPM. She also belongs to the UPM Research Group of Mathematical Models and to the Spanish Network on Biomolecular and Biocellular Computing (REDBIOCOM).
Her research interests include unconventional computing models, parallel and distributed algorithms, and machine and deep learning. Her research results have been published in specialized journals and international conferences in these areas. In TeraFlow, she is co-author of the following papers:
- Improving the quality of generative models through Smirnov transformation published in ArXiv, Computer Science, Machine Learning
- B5GEMINI: AI-driven Network Digital Twin, published in Sensors 2022, 22, 4106
- Synthetic flow-based cryptomining attack generation through Generative Adversarial Networks, published in Scientific Reports, volume 12
Read her papers and more scientific publications about TeraFlow here:
Jutta Kemppainen
Jutta Kemppainen received her Master of Science (Tech.) in 1999 from Helsinki University of Technology (now part of Aalto University). She is now working for Ericsson as Strategic Product Manager in Transport SDN. From October 2018 and February 2022, she worked as senior principal product manager at Infinera, managing Infinera multi-layer, multi-domain and multi-vendor transport network automation solutions.
During this time, she was a part of the TeraFlow team and co-author of the paper “Field Trial of Programmable L3 VPN Service Deployment Using SDN-Based Multi-domain Service Provisioning over IP/Optical Networks” published in IEEE Network (Volume: 35, Issue: 6, November/December 2021)
She has over 20 years of experience in telecommunications software automation products and has been concentrating on Software-Defined Networking (SDN)-based solutions for the last 7+ years. During this time Kemppainen has been co-operating with 70+ network providers, including many of the largest and technically most advanced in the industry, in designing and defining requirements for practical transport network automation solutions.
Read her paper and more scientific publications about TeraFlow here:
Natalia Maya
Natalia Isabel Maya Perfetti is an electronics and telecommunications engineer. She graduated from the Universidad del Cauca, Colombia in 2018. From then and until February 2022 she worked as a network planning engineer in Infinera Colombia, where she supported different tasks related to DWDM network planning and was responsible for the testing of the SDTN solution in the field trial environment. During this time, she was co-author of the paper “Field Trial of Programmable L3 VPN Service Deployment Using SDN-Based Multi-domain Service Provisioning over IP/Optical Networks” published in IEEE Network (Volume: 35, Issue: 6, November/December 2021) related to TeraFlow. Currently, Natalia is working as Transmission Engineer in Movistar.
Read her paper and more scientific publications about TeraFlow here: