Dr. Ilias Kalamaras

Postdoctoral Research Associate

  • Diploma in Electrical and Computer Engineering, Aristotle University of Thessaloniki (2010)
  • PhD in Electrical and Electronic Engineering, Imperial College London (2016)
Dr. Ilias Kalamaras (M) is a post-doctoral research associate in CERTH/ITI. He received his diploma in electrical and computer engineering from the Aristotle University of Thessaloniki in 2010. He also holds a PhD in multimodal dimensionality reduction from the Intelligent Systems and Networks Group of Imperial College London since 2016. His main research interests include graph-based dimensionality reduction, visual analytics, clustering and visualization of multimodal data, for applications related to health monitoring, network security and multimedia analysis. He has been the co-author of related publications in conferences and journals. During his cooperation with CERTH/ITI, since 2011, he has participated in the European projects I-SEARCH, CUbRIK, NEMESYS, FrailSafe, HarmonicSS and AI4EU.

Recent Publications

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  • S. Segkouli, L. Mpaltadoros, A. T. Patenidis, V. Alepopoulos, A. Skoumbourdi, M. Grammatikopoulou, I. Kalamaras, I. Lazarou, P. Bamidis, D. Petsani, E. Konstantinidis, T. Santonen, S. Nikolopoulos, I. Kompatsiaris, K. Votis, D. Tzovaras, "Combined Multicomponent Interventions for Older Adults in a Smart Home Living Lab.", in Proceedings of the Smart Technologies for a Sustainable Future (STE 2024), M. E. Auer, R. Langmann, D. May, and K. Roos, Eds., vol. 1028, Lecture Notes in Networks and Systems, Cham, Switzerland: Springer, 2024. https://doi.org/10.1007/978-3-031-61905-2_27
  • I. Kalamaras, R. Sanchez-Corcuera, D. Casado-Mansilla, A. C. Tsolakis, O. Gomez-Carmona, S. Krinidis, C. E. Borges, D. Tzovaras, D. Lopez-de-Ipina, "A cascading model for nudging employees towards energy-efficient behaviour in tertiary buildings.", PLoS ONE, vol. 19, no. 5, May 2024. https://doi.org/10.1371/journal.pone.0303214
  • G. Agrafiotis, E. Makri, I. Kalamaras, A. Lalas, K. Votis, D. Tzovaras, "Nearest Unitary and Toeplitz matrix techniques for adaptation of Deep Learning models in photonic FPGA.", in Proceedings of the Northern Lights Deep Learning Workshop, Vol. 4, January, 2023. https://septentrio.uit.no/index.php/nldl/article/view/6825
  • P. Kampaktsis, I. Doulamis, E. Makri, I. Kalamaras, C. Papastergiopoulos, M. Emfietzoglou, P. Alvarez, A. Drosou, A. Briasoulis, "Characteristics, Predictors and Outcomes of Early Mammalian Target OF Rapamycin (mTOR) Inhibitor Use after Heart Transplantation; Insights from the United Network for Organ Sharing (UNOS) Database.", Journal of the American College of Cardiology, vol. 79, pp. 492-492, 2022.
  • P. Kampaktsis, I. Doulamis, R. Asleh, E. Makri, I. Kalamaras, C. Papastergiopoulos, M. Emfietzoglou, A. Drosou, H. Alnsasra, E. Duque, A. Briasoulis, "Characteristics, Predictors & Outcomes of Early mTOR Inhibitor Use After Heart Transplantation: Insights From the UNOS Database.", Journal of the American Heart Association, vol. 11, August 24, 2022. https://doi.org/10.1161/JAHA.122.025507
Contact
Dr. Ilias Kalamaras
Building A - Office 1.7

Information Technologies Institute
Centre of Research & Technology - Hellas
6th km Harilaou - Thermis, 57001, Thermi - Thessaloniki
Tel.: +30 2311 257715
Fax: +30 2310 474128
Email: kalamar@iti.gr