Dr Eirina Bourtsoulatze
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Email
e.bourtsoulatze@essex.ac.uk -
Location
5A.542, Colchester Campus
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Academic support hours
Mondays 16:00-17:00 and Tuesdays 13:00-14:00.
Profile
Biography
I am a Lecturer (Assistant Professor) in machine learning for communications in the School of Computer Science and Electronic Engineering (CSEE), University of Essex, UK. I obtained my PhD degree from the Swiss Federal Institute of Technology (Ecole Polytechnique Fédéral de Laussane), Switzerland, in 2013, and my Diploma degree (MSc equivalent) in Electrical and Computer Engineering from the Aristotle University of Thessaloniki, Greece, in 2008. Upon completion of my PhD, I have held senior research positions with the Communications and Distributed Systems group in the Institute of Computer Science, University of Bern, Switzerlan, and the Information Processing and Communications lab in the Department of Electrical and Electronic Engineering at Imperial College London, UK. In 2018 I was awarded the highly competitive Marie Curie Individual Fellowship which was hosted by the Information and Communication Engineering group in the Department of Electronic and Electrical Engineering at University College London (UCL), UK. My current research focuses on applications of deep neural networks to joint source-channel coding and source rate-distortion optimization for visual data. My general research interests include machine learning, network coding and wireless edge caching for multimedia communications.
Appointments
University of Essex
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Lecturer, Computer Science and Electrical Engineering, University of Essex (20/1/2020 - present)
Teaching and supervision
Current teaching responsibilities
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Mathematics for Engineers (CE142)
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Mathematics for Electronics and Telecommunications (CE166)
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Signal Processing (CE223)
Publications
Publications (1)
Jarrahi, MA., Bourtsoulatze, E. and Abolghasemi, V., (2024). Joint Source-Channel Coding for Wireless Image Transmission: A Deep Compressed-Sensing Based Method
Journal articles (9)
Bourtsoulatze, E., Chadha, A., Fadeev, I., Giotsas, V. and Andreopoulos, Y., (2020). Deep Video Precoding. IEEE Transactions on Circuits and Systems for Video Technology. 30 (12), 4913-4928
Maniotis, P., Bourtsoulatze, E. and Thomos, N., (2020). Tile-Based Joint Caching and Delivery of 360° Videos in Heterogeneous Networks. IEEE Transactions on Multimedia. 22 (9), 2382-2395
Bi, Y., Chadha, A., Abbas, A., Bourtsoulatze, E. and Andreopoulos, Y., (2020). Graph-Based Spatio-Temporal Feature Learning for Neuromorphic Vision Sensing. IEEE Transactions on Image Processing. 29, 9084-9098
Bourtsoulatze, E., Burth Kurka, D. and Gunduz, D., (2019). Deep Joint Source-Channel Coding for Wireless Image Transmission. IEEE Transactions on Cognitive Communications and Networking. 5 (3), 567-579
Bourtoulatze, E., Thomos, N., Saltarin, J. and Braun, T., (2018). Content-Aware Delivery of Scalable Video in Network Coding Enabled Named Data Networks. IEEE Transactions on Multimedia. 20 (6), 1561-1575
Saltarin, J., Bourtsoulatze, E., Thomos, N. and Braun, T., (2017). Adaptive Video Streaming with Network Coding enabled Named Data Networking. IEEE Transactions on Multimedia. 19 (10), 2182-2196
Bourtsoulatze, E., Thomos, N. and Frossard, P., (2014). Decoding Delay Minimization in Inter-Session Network Coding. IEEE Transactions on Communications. 62 (6), 1944-1957
Bourtsoulatze, E., Thomos, N. and Frossard, P., (2014). Distributed Rate Allocation in Inter-Session Network Coding. IEEE Transactions on Multimedia. 16 (6), 1752-1765
Bourtsoulatze, E., Thomos, N. and Frossard, P., (2013). Reconstruction of Network Coded Sources From Incomplete Datasets. CoRR. abs/1307.7138
Conferences (15)
Jarrahi, M., Bourtsoulatze, E. and Abolghasemi, V., (2024). Joint Source-Channel Coding for Wireless Image Transmission: A Deep Compressed-Sensing Based Method
Jarrahi, MA., Bourtsoulatze, E. and Abolghasemi, V., (2024). DCS-JSCC: Leveraging Deep Compressed Sensing into JSCC for Wireless Image Transmission
Jarrahi, MA., Bourtsoulatze, E. and Abolghasemi, V., (2024). Rate-Adaptive Joint Source Channel Coding Using Deep Block-based Compressed Sensing
Jarrahi, MA., Bourtsoulatze, E. and Abolghasemi, V., (2024). Rate-Adaptive Joint Source Channel Coding Using Deep Block-Based Compressed Sensing
Maniotis, P., Bourtsoulatze, E. and Thomos, N., (2019). Tile-Based Joint Caching and Delivery of 360° Videos in Heterogeneous Networks
Saltarin, J., Braun, T., Bourtsoulatze, E. and Thomos, N., (2019). PopNetCod: A Popularity-based Caching Policy for Network Coding enabled Named Data Networking
Bi, Y., Chadha, A., Abbas, A., Bourtsoulatze, E. and Andreopoulos, Y., (2019). Graph-Based Object Classification for Neuromorphic Vision Sensing
Bourtsoulatze, E., Kurka, DB. and Gunduz, D., (2019). Deep Joint Source-channel Coding for Wireless Image Transmission
Bourtsoulatze, E. and Gunduz, D., (2018). Cache-Aided Interactive Multiview Video Streaming in Small Cell Wireless Networks
Saltarin, J., Braun, T., Bourtsoulatze, E. and Thomos, N., (2018). PopNetCod: A Popularity-based Caching Policy for Network Coding enabled Named Data Networking
Saltarin, J., Bourtsoulatze, E., Thomos, N. and Braun, T., (2016). NetCodCCN: A network coding approach for content-centric networks
Saltarin, J., Bourtsoulatze, E., Thomos, N. and Braun, T., (2016). NetCodCCN: A network coding approach for content-centric networks.
Bourtsoulatze, E., Thomos, N. and Frossard, P., (2012). Distributed rate allocation in P2P networks with inter-session network coding
Bourtsoulatze, E., Thomos, N. and Frossard, P., (2012). Correlation-aware reconstruction of network coded sources
Saltarin, J., Thomos, N., Bourtsoulatze, E. and Frossard, P., (2011). P2P video streaming with inter-session network coding
Reports and Papers (1)
Maniotis, P., Bourtsoulatze, E. and Thomos, N., (2019). Tile-Based Joint Caching and Delivery of 360⁰ Videos in Heterogeneous Networks
Contact
Academic support hours:
Mondays 16:00-17:00 and Tuesdays 13:00-14:00.
