Speakers 2019

We are honored to have guest speakers that represent top authorities in their fields for the 2019 themes: Software Engineering, AI/Machine learning, RF technologies and Energy Efficiency.

Prof. Robert Feldt

Prof. Robert Feldt

Chalmers

AI for Improving Quality of Complex Software and Systems (SW Engineering)

Click here for abstract
Robert Feldt is professor of software engineering at Chalmers University of Technology, Sweden, and at Blekinge Institute of Technology, Sweden. He has broad research interests spanning from human factors to hardcore automation and statistics, including software testing and quality, requirements engineering, human-centered (behavioral) software engineering. He was an early contributor to search-based software engineering and have recently argued for increased application of psychology and social science to better understand and improve software engineering. Most of his research is empirical and conducted in close collaboration with industry partners in Sweden, Europe and Asia but he also leads basic research. In addition to his academic achievements he has worked as an IT and software consultant for more than 25 years. He is passionate about empirical research and methods and to change organisations through technical innovation.
Prof. Klaas Jan Stol

Prof. Klaas Jan Stol

Open source, inner source and cross-sourcing (SW Engineering)

Click here for abstract
Dr. Klaas Jan Stol
Dr Klaas-Jan Stol is a Lecturer (a role in the British academic system equivalent to assistant professor in North America) with the School of Computer Science and Information Technology at University College Cork, Ireland. He has a wide range of research interests that fall within the three domains of research studies. In terms of the substantive domain, his research focuses on open source, inner source, and crowdsourcing, as well as other topics related to company strategies and tactics that can help improve software development practice ( ICSE 2014 , TOSEM 2014, TSE in press). Within the methodological domain, Klaas aims to improve the state of research methodology within software engineering (ICSE 2016, TOSEM 2018). Within the theoretical domain, he aims to draw on other disciplines to improve the state of theory building within software engineering (SCP 2015).
Prof. Johan Lilius

Prof. Johan Lilius

Run-time energy- and performance management of software on heterogeneous architectures (SW Engineering)

Click here for abstract
Johan Lilius
Prof. Johan Lilius is full professor of Embedded Systems at Åbo Akademi since 2001.  He is the leader of the Embedded Systems Laboratory, which has strong international and industrial links and he was a member of the research group "Formal Methods in Programming" that was awarded the status of Centre of Excellency by the Academy of Finland.  He has won the Ten-Year Most Influential Paper Award at the ACM/IEEE Conference on Model Driven Engineering Languages and Systems, and a number of Best Paper awards. He has experience in leading large academic organizations, he has been Head of Turku Center for Computer Science, and Head of Department in two periods. During his leadership he participated in major reorganizations of the University. He is experienced in leading PhD research, he has been head of the TUCS graduate programme, and currently he is head of the DITM doctoral Network.  He is member of the Editorial board of "Transactions on Petri Nets and Other Models of Concurrency" and  a regular member of Program Committees of the relevant conferences in the Embedded systems area. He has co-organized and co-chaired several workshops, summer schools and conferences. He has completed the supervision of 6 doctoral students and is currently supervising 5 students. He has published 140 research papers. His research interests include Energy-efficient Software, Programming Models for Multi-cores, System-Level Design, Performance Engineering and Models of Concurrency. He is in charge of the Embedded Systems Curriculum, the Embedded Computing Masters Programme and coordinates a number of double degree programmes.
Prof. Joachim Oberhammer

Prof. Joachim Oberhammer

Silicon-micromachining enabling high-performance sub-THz communication links for 5G radio access networks (RF Technologies)

Click here for abstract
Prof. Joachim Oberhammer
Joachim Oberhammer, born in Italy in 1976; M.Sc. EE from Graz University of Technology, Austria, in 2000; Ph.D. from KTH Royal Institute of Technology in Stockholm, Sweden, in 2004. Post-doctoral research fellow at Nanyang Technological University, Singapore, in 2004, and at Kyoto University, Japan, in 2008. Since 2005 leading radio-frequency/microwave/terahertz micro-electromechanical systems research at KTH; Associate Professor at KTH in 2010; Professor in Microwave and THz Microsystems at KTH since 2015. Guest researcher at Nanyang Technological University, Singapore, in 2007; guest researcher at NASA-Jet Propulsion Laboratory, USA, in 2014.

He is author and co-author of more than 100 reviewed research papers and holds 4 patents. In 2004, 2007, and 2008 he got an award by the Ericsson Research Foundation, a grant by the Swedish Innovation Bridge, and a scholarship by the Japanese Society for the Promotion of Science, respectively. The research work he is heading received six Best Paper Awards (five of which at IEEE conferences), and four IEEE Graduate Fellowship Awards (by MTT-S and by AP-S) since 2009. He served as TPRC member of IEEE Transducers (2009, 2015, 2019), IEEE International Microwave Symposiums (2010-2018), IEEE Micro Electro Mechanical Systems (2011, 2012), IEEE Radio and Wireless Week (2015, 2016), EuMCE (2019). Dr Oberhammer is Steering Group member of the IEEE MTT-S and AP-S Chapers Sweden since 2009. In 2013, he received an ERC Consolidator Grant by the European Research Council. Steering Group Member of the Young Academy of Sweden 2014-2016. Representative of Sweden/Norway/Iceland in the European Microwave Association 2016-2018. Associate Editor of IEEE Transactions on Terahertz Science and Technology since 2018.
Prof. Muhammad Ali Imran

Prof. Muhammad Ali Imran

Proactive Cellular Systems for Energy Efficient Operation (Energy Efficiency)

Click here for abstract
Professor Muhammad Ali Imran (M'03, SM'12) received his M.Sc. (Distinction) and Ph.D. degrees from Imperial College London, UK, in 2002 and 2007, respectively. He is a Professor in Communication Systems in University of Glasgow, Vice Dean of Glasgow College UESTC and Program Director of Electrical and Electronics with Communications. He is an adjunct Associate Professor at the University of Oklahoma, USA and a visiting Professor at 5G Innovation centre, University of Surrey, UK, where he has worked previously from June 2007 to Aug 2016.

He has led a number of multimillion-funded international research projects encompassing the areas of energy efficiency, fundamental performance limits, sensor networks and self-organising cellular networks. He also led the new physical layer work area for 5G innovation centre at Surrey. He has a global collaborative research network spanning both academia and key industrial players in the field of wireless communications. He has supervised 40+ successful PhD graduates and published over 400 peer-reviewed research papers including more than 40 IEEE Transaction papers. He secured first rank in his B.Sc. and a distinction in his M.Sc. degree along with an award of excellence in recognition of his academic achievements conferred by the President of Pakistan. He has been awarded IEEE Comsoc’s Fred Ellersick award 2014, FEPS Learning and Teaching award 2014, Sentinel of Science Award 2016, and twice nominated for Tony Jean’s Inspirational Teaching award. He is a shortlisted finalist for The Wharton-QS Stars Awards 2014 for innovative teaching and VC’s learning and teaching award in University of Surrey. He is a Fellow of IET, a senior member of IEEE and a Senior Fellow of Higher Education Academy (SFHEA), UK.

He has given an invited TEDx talk (2015) and more than 10 plenary talks, several tutorials and seminars in international conferences, events and other institutions. He has taught on international short courses in USA and China. He is the co-founder of IEEE Workshop BackNets 2015 and chaired several tracks/workshops of international conferences. He is an associate Editor for IEEE Transactions on Communications and IEEE Open Access. He has previously served as associate editor for IEEE Communications Letters and IET Communications Journal and has served as guest editor for many prestigious international journals.
Dr. Cicek Cavdar

Dr. Cicek Cavdar

KTH

AI4Green: Artificial Intelligence for Green Mobile Networks (Energy Efficiency)

Click here for abstract
Dr. Cicek Cavdar leads a research group on Intelligent Network Systems at the School of EECS at the Royal Institute of Technology (KTH) in Sweden. She finished her Ph.D studies in Computer Science, University of California, Davis and in Istanbul Technical University, Turkey in 2009. After her PhD, she worked as an Assistant Professor in Computer Engineering Department, Istanbul Technical University. She has chaired several workshops on green mobile broadband technologies and Green 5G Mobile Networks last years co-located with IEEE ICC and Globecom. She served as chair of the green communications track in ICC 2017, held in Paris. At Wireless@KTH research center, she led EU EIT Digital projects such as "5GrEEn: Towards Green 5G Mobile Networks" and "Seamless DA2GC in Europe". 2015-2018, she served as the leader of Swedish cluster for the EU Celtic Plus project SooGREEN "Service Oriented Optimization of Green Mobile Networks“, and from 2018 she has the same role in the EU Celtic Plus project AI4Green “Artificial Intelligence for Green Networks”. Her research interests include design and analysis of telecommunication networks with focus on beyond 5G mobile networks, edge/cloud computing, big data in the network, URLLC, energy efficiency, and AI assisted Mobile Networks.
Prof. Timothy O’Farrell

Prof. Timothy O’Farrell

University of Sheffield

EE metric framework applied for designing ultra-dense small cell RANs (Energy Efficiency)

Click here for abstract
I received my B.Sc. degree in Electrical and Electronic Engineering from the University of Birmingham and my M.Sc. and Ph.D. degrees in Electrical and Electronic Engineering from the University of Manchester, UK, respectively. Currently, I am Chair Professor of Wireless Communications at the University of Sheffield.

My research is focused on wireless communications systems specialising in physical layer signal processing, radio resource management and wireless network planning. I have pioneered research on energy efficient mobile cellular communications, the mathematical modelling of CSMA based MAC protocols for WiFi, iterative block coding for wireless communication systems and spreading sequence design for CDMA wireless communications.

I was an entrepreneur, being the cofounder and CTO of Supergold Communication Limited (1997-2007), a start-up that participated in the standardisation of IEEE 802.11g with the M-ary Bi-Code Keying proposal. In the framework of Mobile VCE, I was the Academic Coordinator of the Core 5 Green Radio project (2009-2012) and a leader in establishing energy efficiency as a global research field in wireless communications systems.

I have led 22 major research projects as the principal investigator and participated in 2 as a coinvestigator with a total research spend of approximately £12M. My current EPSRC project portfolio includes the DDmmMaMi, FARAD and SERAN projects as well as CommNet2. I have published 315 journal & conference papers, book chapters, patents and technical reports; graduated 24 Ph.D. and M.Phil. students; and participated in standards, consultancy and expert witness activities within the wireless sector.

Currently, I am leading the UK Research Strategy Community Organisation in Communications, Mobile Computing and Networking within the EPSRC portfolio (www.commnet.ac.uk). I am also a Director of the mVCE (www.mobilevce.com), a Chartered Engineer IET member and Senior IEEE member.
Prof. Tijani Chahed

Prof. Tijani Chahed

SudParis

Advanced Sleep Modes with Reinforcement Learning (Energy Efficiency)

Click here for abstract
Tijani Chahed is a professor in the Networks and Services department in Telecom SudParis, France. He holds BS and MS degrees in Electrical and Electronics Engineering from Bilkent University, Turkey, PhD and Habilitation a Diriger des Recherches (HDR) degrees in Computer Science from the University of Versailles and the University of Paris 6, France, respectively. His research interests are on quality of service and teletraffic engineering, notably in wireless networks.
Prof. Michela Meo

Prof. Michela Meo

Politecnico di Torino

Greener RAN operation through machine learning (Energy Efficiency)

Click here for abstract
Michela Meo is a professor at Politecnico di Torino in Communication Engineering. She received the Laurea degree in Electronic Engineering in 1993, and the Ph.D. degree in Electronic and Telecommunications Engineering in 1997, both from the Politecnico di Torino, Italy. She was Deputy Rector of Politecnico di Torino from March 2017 to March 2018. Her research interests include green networking, energy-efficient mobile networks and data centers, Internet traffic classification and characterization. She co-authored about 200 papers, edited a book with Wiley on Green Communications and edited special issues of international journals, including ACM Monet, Performance Evaluation, and Elsevier Computer Networks. She chairs the International Advisory Council of the International Teletraffic Conference and was chair of the Steering Committee of IEEE Online GreenComm. She was associate editor of ACM/IEEE Transactions of Networking and Green Series of the IEEE Journal on Selected Areas of Communications, and she is now area editor of IEEE Transactions on Green Communications and Networking and associate editor of IEEE Communication Surveys and Tutorials.
Prof. Mihai Sanduleanu

Prof. Mihai Sanduleanu

Masdar Institute of Science and Technology

Digital Outphasing Exponential Modulation: A constant Amplitude Modulation for High Efficiency/Linearity, Switched mode PA (RF Technologies)

Click here for abstract
Dr. Mihai Sanduleanu received his MSc, MEE and PhD degrees from the Technical University of Iasi, Romania, Eindhoven University of Technology, The Netherlands and University of Twente, The Netherlands in 1990, 1993 and 1999, respectively. He also received the Philips Foundation MSc and PhD Fellowship in 1993 and 1994 respectively. From 1999 to 2000, Dr. Sanduleanu worked with Philips Semiconductors, in The Netherlands, working on fiber optic communication circuits. From 2000 to 2007 he joined Philips Research Eindhoven, The Netherlands, where he was involved in fiber optic interface circuits, radio frequency integrated circuit design, mm-waves transceiver design and ultra-low-power radios. While at Philips Research, Dr. Sanduleanu was adjunct professor in the Microelectronics Group of Eindhoven University of Technology. In 2008 he had spent 6 months at Interuniversity Microelectronics Center (IMEC), Belgium, doing research on 60GHz transceiver design and THz electronics. From 2008 to 2013, he conducted research at IBM T.J. Watson Research Center, New York in mm-waves transceivers for communication, imaging and RADAR, THz electronics, high-speed analog-to-digital converters for wired/wireless communication systems and ultra-low-power radios. Dr. Sanduleanu is currently Associate Professor at Khalifa University of Science and Technology. His area of expertise includes wireless transceiver design for RF/mm-waves/THz communication, THz electronics, high speed communication circuits for serial I/O, high speed analog-to-digital converters, phased-array systems, imaging, fiber optic interface ICs, ultra-low-power radios, data and clock recovery and PLLs, High accuracy/low-power analog/mixed-signal circuits and systems, SoC design, on-chip sensors and actuators for autonomous transceivers (wired/wireless), high-speed digital circuits and systems, electromagnetics and antenna design. Dr. Sanduleanu has authored/co-authored four books and more than 55 papers in international conferences and journals. He holds 43 US patents. Dr. Sanduleanu is the Associate Editor for IEEE Transactions on Circuits and Systems. He is also a member of the Semiconductor Research Center (SRC).
Prof. Ville Viikari

Prof. Ville Viikari

Beam-steerable millimeter-wave antennas for mobile base stations (RF Technologies)

Click here for abstract
Prof. Ville Viikari
Ville Viikari was born in Espoo, Finland, in 1979. He received the M.Sc. (Tech.) and D.Sc. (Tech.) (with distinction) degrees in electrical engineering from the Helsinki University of Technology (TKK), Espoo, in 2004 and 2007, respectively. From 2001 to 2007, he was with the Radio Laboratory, TKK, where he was involved in antenna measurement techniques at submillimeter wavelengths and antenna pattern correction techniques. From 2007 to 2012, he was a Research Scientist and a Senior Scientist with the VTT Technical Research Centre, Espoo, where he was involved in wireless sensors, RFID, radar applications, MEMS, and microwave sensors. He is currently an Associate Professor and the Deputy Head of the Department with the School of Electrical Engineering, Aalto University, Espoo. His current research interests include antennas for mobile networks, RF-powered devices, and antenna measurement techniques. Dr. Viikari has served as the Chair for the Technical Program Committee of the ESA Workshop on Millimeter-Wave Technology and Applications and the Global Symposium on Millimeter Waves in 2011 and 2016, in Espoo, Finland. He was a recipient of the Young Researcher Award of the Year 2014, presented by the Finnish Foundation for Technology Promotion, the IEEE Sensors Council 2010 Early Career Gold Award, the 2008 Young Scientist Award of the URSI XXXI Finnish Convention on Radio Science, Espoo, and the Best Student Paper Award of the Annual Symposium of the Antenna Measurement Techniques Association, Newport, RI, USA, in 2005.
Prof. Dragos Dancila

Prof. Dragos Dancila

A 60 GHz beam-steering solution with compact and broadband phased-array antenna (RF Technologies)

Click here for abstract
Prof. Dragos Dancila
Dr. Dragos Dancila graduated magna cum laude as an Electrical Engineer from Université catholique de Louvain (UCL) in 2006 and received a Ph.D. degree in Applied Sciences in 2011 from UCL, in collaboration with IMEC. He received also a Complementary Master in Business Management, from the Solvay Business School, Brussels. He is author or co-author of more than 50 publications including journals and conferences. He received the best measurement paper award at EUCAP 2013, when he was involved with Vinnova project: Skin cancer diagnostic tool based on micromachined interface for high-resolution THz spectroscopy (MTSSC). He has been granted the WIPO patent: A microfabricated sensor and a method of detecting a component in bodily fluid, in the field of microwave sensors for biomedical applications. He translated into French two reference books in the field of microelectronics (Fundamentals of electric circuits by Alexander and Microelectronic Circuits by Sedra) and is presently teaching Electronics and Analogue electronics courses to clases of about hundred students, in Civ. Engineering education. His research interests are in the areas of milimeterwave and terahertz adaptive and integrated antennas, RF-MEMS technology and RF sensors for biomedical applications, such as: skin cancer detection and glucose monitoring. He is working with the solid state RF power amplifier development at the FREIA Laboratory. In October 2014 he became Biträdande Universitestlektor at Uppsala University. Associtate Professor in June 2018. PI of H2020 Eurostars project: "Energy Efficient PET Cancer Diagnostics: Novel RF Source for Radioisotope Production - ENEFRF". Project Leader: Vinnova, 2014, “Development of an advanced millimetre-wave front-end circuitry for use in medical sensing”, Vinnova, 2016-2018, “60 GHz beam-steering solution with phased array systems”; Vinnova, 2018-2021, “5G mmWave RFIC with Antenna In Package for CPE Applications” . SSF project: MEMS terahertz systems. Researcher at FREIA on solid-state power amplifiers.
Prof. Mehdi Bennis

Prof. Mehdi Bennis

Distributed Learning for Ultra-Reliable Low-Latency Communications (AI/Machine Learning)

Click here for abstract
Mehdi Bennis
Dr. Mehdi Bennis (Senior Member, IEEE) received his M.Sc. degree in Electrical Engineering jointly from the EPFL, Switzerland and the Eurecom Institute, France in 2002. From 2002 to 2004, he worked as a research engineer at IMRA-EUROPE investigating adaptive equalization algorithms for mobile digital TV. In 2004, he joined the Centre for Wireless Communications (CWC) at the University of Oulu, Finland as a research scientist. In 2008, he was a visiting researcher at the Alcatel-Lucent chair, SUPELEC. He obtained his Ph.D. in December 2009 on spectrum sharing for future mobile cellular systems. Currently Dr. Bennis is an Adjunct Professor at the University of Oulu and Academy of Finland research fellow. His main research interests are in radio resource management, heterogeneous networks, game theory and machine learning in 5G networks and beyond. He has co-authored one book and published more than 100 research papers in international conferences, journals and book chapters. He was the recipient of the prestigious 2015 Fred W. Ellersick Prize from the IEEE Communications Society, the 2016 Best Tutorial Prize from the IEEE Communications Society and the 2017 EURASIP Best paper Award for the Journal of wireless communications and networks. Dr. Bennis is an Associate Professor at the University of Oulu.
Prof. Slawomir Stanczak

Prof. Slawomir Stanczak

Towards Robust Machine Learning in 5G Radio Access Networks (AI/Machine Learning)

Click here for abstract
Prof. Slawomir Stanczak
Slawomir Stanczak studied electrical engineering with specialization in control theory at the Wroclaw University of Technology and at the Technical University of Berlin (TU Berlin). He received the Dipl.-Ing. degree in 1998 and the Dr.-Ing. degree (summa cum laude) in electrical engineering in 2003, both from TU Berlin; the Habilitation degree (venialegendi) followed in 2006. Since 2015, he has been a Full Professor for network information theory with TU Berlin and the head of the Wireless Communications and Networks department. In 2004 and 2007, he was a Visiting Professor with RWTH Aachen, Germany, and in 2008, he was a Visiting Scientist with Stanford University, Stanford, CA, USA. Prof. Stanczak  is a co-author of two books and more than 200 peer-reviewed journal articles and conference papers in the area of information theory, wireless communications, signal processing and machine learning. Prof. Stanczak received research fellowships from the German Research Foundation and the Best Paper Award from the German Communication Engineering Society in 2014. He served as an Associate Editor of the IEEE Transactions on Signal Processing between 2012 and 2015. Since February 2018 Prof. Stanczak has been the chairman of the ITU-T focus group on machine learning for future networks including 5G.
Prof. Yair Be'ery

Prof. Yair Be'ery

Tel Aviv University

Learning to decode error correcting codes (AI/Machine Learning)

Click here for abstract
Prof. Yair Be'ery
Yair Be’ery received the B.Sc. (Summa Cum Laude), M.Sc. (Summa Cum Laude), and Ph.D. degrees all in electrical engineering from Tel Aviv University, Tel-Aviv, Israel, in 1979, 1979, and 1985, respectively. He is a Professor with the Department of Electrical Engineering Systems, Tel Aviv University, where he has been since 1985. He served as the Chair of the Department from 1999 to 2003. He is the recipient of the 1984 Eliyahu Golomb Award from the Israeli Ministry of Defense granted by the President of Israel, the 1986 Rothschild Fellowship for postdoctoral studies at Rensselaer Polytechnic Institute, Troy, NY, and the 1992 Electronic Industry Award in Israel.

His research interests include digital communications, error control coding, iterative decoding, deep learning methods for decoding, combined coding and modulation, VLSI architectures, and algorithms for systolic and multicore arrays.

Program 2019

The 2019 workshop will focus on upcoming trends and new technologies, enabling wireless solutions for future needs both of people and of society.
View program