SESSION: ALUMNI PANEL

Alumni panel

17.45 - 18.45

Alumni speakers followed different career paths after their graduation from CSD. As a result, they can provide insights, tips, and experiences to students for their next steps. This section will be organized as a panel, in which each speaker will have 10 minutes to present his/her career. After the end of each individual talk (approximately 40 minutes in total), there will be 20 minutes for questions from the audience. Each speaker should provide a small CV [150 - 200 words], a photograph and contact information, by sending an e-mail to gsacsd@csd.uoc.gr.


Name: George Kafentzis
Title: Adjunct Lecturer at the Computer Science Dpt. of the University of Crete and member of Signal Speech Processing Laboratory (SSPL), CSD.
Short bio: George P. Kafentzis received his Ph.D. in Computer Science from the Computer Science Department, University of Crete, Greece and in Telecommunications and Signal Processing from the University of Rennes 1, France. He was a research assistant at the Telecommunications and Networks Laboratory (TNL), Institute of Computer Science (ICS), FORTH from 2008 to 2010. From 2011 to 2013, he was a member of the Speech Synthesis Group, Research and Development Division of Orange SA, Lannion, France. From 2015 to 2017, he was an external collaborator of the Speech Technology Group (STG), Toshiba Research Europe Limited, Cambridge, UK. He is currently an adjunct lecturer at the Computer Science Department of the University of Crete. He is also a regular reviewer for international conferences (ICASSP, GlobalSIP, Interspeech, EUSIPCO etc) and journals (several IEEE Transactions, Speech Communication, Circuits, Systems, and Signal Processing, etc), and is a member of the IEEE. His research interests include speech and audio signal processing and their applications: analysis, modeling, recognition and synthesis of speech, recognition and visualization of expressive / emotional content of speech, and deep learning applications in speech signal processing.
Name: Markos Fountoulakis
Title: Senior Software Engineer at NetData, Inc.
Short bio: I graduated from the Department of Computer Science at the University of Crete and currently hold the B.Sc. and the M.Sc. degrees. I am a storage systems enthusiast with more than ten years of experience designing and implementing solutions with a strong emphasis on high performance and parallelism. I also specialize in Linux kernel development, computer architecture and distributed systems. I participated in two start-up ventures as a systems engineer at ICS-FORTH. In the first venture we developed a storage controller for storage virtualization and in the second venture we developed a write-back SSD cache product, which was acquired by a Fortune 100 company. As a lead kernel developer at ioFABRIC Inc. I participated in my third start-up venture where I did extensive work on a Software Defined Storage product. Finally, as a senior software developer at netdata, Inc. I started my fourth start-up venture where I am working on an open source monitoring tool.
Name: Vassilis Spitadakis
Title: R&D manager at Neurocom S.A.
Short bio: Vassilis Spitadakis (M) is R&D manager for Neurocom S.A. since 2013, mainly responsible for the coordination and participation in research projects. He is also owner of MCBS IKE, an SME active in the area of eTourism services development and operation. Previously (1996-2013), he was directing Forthnet S.A. (broadband network services provider in Greece) R&D department. He had primary role in the spin-off creation of Forthnet provider. He managed projects aiming to develop and deploy network monitoring and service provisioning systems (OSS, billing) as well as innovative value-added services towards vertical industries. He has coordinated and participated in several European and national research projects mainly in the area of transportation and tourism (WISETRIP), ehealth which also led to creation of spinoff enterprises, Forthcrs and Telemedicine Technologies (France) respectively. He holds a M.Sc. in Telecommunications Management and Computer Data Networks from University of Crete. He was also CEO in Forthcrs SA (from 2000 up to 2013), an e-tourism services provider focusing onto ferry reservation systems and services, mainly ticketing distribution and access control. Today, he is managing R&D and innovation development within NEUROCOM SA, mainly involved within big data / stream data management and analysis addressing the needs of telecom, IoT and financial service environment.
Name: Eleni Kanellou
Title: Post-doctoral researcher in the Computer Architecture and VLSI Systems Laboratory of the Institute of Computer Science at FORTH.
Short bio: Eleni Kanellou is a post-doctoral researcher in the Computer Architecture and VLSI Systems Laboratory of the Institute of Computer Science at FORTH. She received her diploma in Computer Science from the Computer Science Department of the University of Crete in 2003 and her Master of Science in System-on-Chip Design from the KTH Royal Institute of Technology in 2005. In 2011, she joined as an “Early Stage Researcher” in the research program “Transform: Theoretical Foundations of Transactional Memory”, funded by the Seventh Framework Programme of the European Commission. Concurrently with that, she enrolled in the PhD program of the University of Rennes 1 (as member of the ASAP team) and obtained her PhD in December 2015. Her main research interests deal with concurrent data structures and synchronization techniques such as transactional memory and message passing, as well as algorithms, models, lower bounds, complexity analysis, and concurrent data structures. She has worked on the theoretical foundation of such paradigms, with efforts resulting in published book chapters and conference papers. Further research interests and current work deal with software-based performance modelling of computing system, resource allocation techniques, theoretical characterization of resource-allocation frameworks, performance impact and other effects of heterogeneity in datacenters, task scheduling methods and techniques, datacenter trace analysis to extract statistical characteristics.