Women in Computer Science 2018

It is with great honor and pleasure that I write this introduction to the Virtual Special Issue on Women in Computer Science 2018, assembling contributions of highest quality, by the outstanding scientists. The range of contributions and their impact speak for themselves: from image recognition, parallel computing and Artificial Intelligence (AI), over to networking and basic sciences, women in computer science continue to lead scientific discovery in multiple domains. This leadership is reflected in their proven ability to tackle grand challenges of societal importance, along with intellectually challenging scientific problems and new horizons in technology engineering.

Indeed, an example of women leadership in advancing science that serves humanity is given in paper by Lamnabhi-Lagarrigue, et.al., showing the way for future generations to focus on big challenges facing society, and understanding the impact of computer science within. Authors Anna Maria Vegni and her collaborators, on the other hand, focus on novel and rather promising ultra-high bandwidth wireless communication of the future, in the transmission spectrum of THz. The THz communication is today considered one of the most challenging yet uniquely powerful and capacious technology allowing for Gb/s transmission speeds. Yet another group of scientists, led by Anne-Sophie Tonneau, are helping fellow engineers and computer scientists to choose the proper experimental platform for their wireless sensor systems, recognizing the myriad of factors that one needs to consider when attempting to experiment at scale, with confidence and reproducible results. The theoreticians also do not come short in supply among women computer scientists. Papers can be found in the theoretical domains of computing, materials and image recognitions. The list of papers is much longer indeed and these are just examples.

Enjoy this special issue, and let us give a shout-out to all female authors, their collaborators and all diverse teams committed to creativity, but also exact science, curiosity but also a profound knowledge shared.

Admela Jukan
Optical Switching and Networking

Prof. Maja Pantic

Maja Pantić is a world expert on machine analysis of human nonverbal behaviour. In 2006 she joined Imperial College London, Department of Computing. She published "Artificial Intelligence for Human Computing" with Huang, Pentland and Nijholt in 2007. In 2008 she received European Research Council Starting Grant for her research on Machine Analysis of Human Naturalistic Behavior (MAHNOB). At the time the MAHNOB team started, tools for human behaviour analysis could only handle exaggerated expressions. She was appointed to full Professor at Imperial College in 2010.

She is head of the Intelligent Behaviour Understanding Group (iBug) group at Imperial College London. In 2012 she presented " Human-centered Computing" at "T100: One Hundred Years from the birth of Alan Turing" at the Royal Society Edinburgh.

M Pantic, L.J.M Rothkrantz, Expert system for automatic analysis of facial expressions, Image and Vision Computing, Volume 18, Issue 11, 2000, Pages 881-905

Françoise Lamnabhi-Lagarrigue

Françoise Lamnabhi-Lagarrigue,  IFAC Fellow (2016), is CNRS Senior Researcher since 1993 at the Laboratoire des Signaux et Systèmes (Gif-sur-Yvette, France). She obtained the Master of Mathematics degree at the University Paul Sabatier (Toulouse) in 1976 and she held a CNRS researcher position in 1980. She received her Ph.D. and Habilitation Doctorate degrees (Docteur d'état ès Sciences Physiques) from the University Paris Sud in 1980 and 1985, respectively. Some recent activities include: Senior Editor of International Journal of Control (Taylor&Francis); Editor-in-Chief of Annual Reviews in Control (Elsevier) ; Scientific Manager of the Marie Curie Control Training Site (2002-2006); Scientific Manager of the HYCON Network of Excellence (2005-2009) and HYCON2 (2010-2014). She is the founder of the European Embedded Control Institute (EECI) and the chair of the EECI International Graduate School on Control. She was serving as member of the IFAC Technical Board (Chair of CC9 Social Systems) during the triennium (2011-2014) and (2014-2017), and of the IEEE CSS Board of Governors (elected 2003-2005, nominated 2016, elected 2018-2021). Her main recent research interests include observer design, performance and robustness issues in nonlinear, hybrid, networked and distributed control systems. She has supervised 24 PhD thesis. She is author of 1 book, editor or co-editor of 10 books and 5 Special Issues; she is author and co-author of 104 journal papers and chapters of books and 117 published conference papers. She is the prizewinner of the 2008 Michel Monpetit prize of the French Academy of Science and of the 2010-2013 Prime d’Excellence Scientifique at CNRS. She was deputy director of the Doctoral School STIC of the University of Paris-Saclay (2014-2016). She is appointed member of the Scientific Council of the Institute for Information Science and interactions (CNRS-INS2I), member of the Programme Committee of the ITE SuperGrid, member of the Executive Committee of the GdR MACS. Since April 2016, she is a knight of the Legion of Honour.

T. Ahmed-Ali, F. Giri, M. Krstic, L. Burlion and F. Lamnabhi-Lagarrigue, Adaptive Observer Design With Heat PDE Sensor, Automatica, 82, 2017, pp. 93–100

F. Lamnabhi-Lagarrigue, A. Annaswamy, S. Engell, A. Isaksson, P.Khargonekar, R. Murray, H. Nijmeijer, T. Samad, D. Tilbury, P. Van den Hof, Systems & Control for the Future of Humanity, Research agenda: current and future roles, impact and grand challenges, Annual Reviews in Control, 43, 2017,  pp. 1-64

Valeria Loscrì

Valeria Loscrì is a permanent researcher of the FUN Team at Inria Lille–Nord Europe since Oct. 2013. From Dec. 2006 to Sept. 2013, she was Research Fellow in the TITAN Lab of the University of Calabria, Italy. She received her MSc and PhD degrees in Computer Science in 2003 and 2007, respectively, from the University of Calabria and his HDR (Habilitation à diriger des recherches) in 2018 from University of Calabria. Her research interests focus on heterogeneous communication paradigms such as Visible Light Communication and TeraHertz bandwidth and cooperation and coexistence of heterogeneous devices. She has been involved in the activity of several European Projects (FP7 EU project VITAL, the FP6 EU project MASCOT, etc.), Italian and French projects. She is in the editorial board of Elsevier ComNet, JNCA, IEEE Trans. on Nanobioscience. Since 2015 she is member of the Committee for Technological Development (CDT) at Inria Lille- Nord Europe. Since 2016, she is Scientific European Responsible for Inria Lille–Nord Europe.

Anna Maria Vegni, Valeria Loscrí, Characterization and performance analysis of a chiral-metamaterial channel with Giant Optical Activity for terahertz communications, Nano Communication Networks, Volume 9, 2016, Pages 28-35

Francesca Guerriero, Valeria Loscrí, Pasquale Pace, Rosario Surace, Neural networks and SDR modulation schemes for wireless mobile nodes: A synergic approach, Ad Hoc Networks, Volume 54, 2017, Pages 17-29

Admela Jukan

Admela Jukan is Chair Professor of Communication Networks at the Technische Universität Carolo-Wilhelmina zu Braunschweig (Brunswick) in Germany. Prior to that post, she was research and visiting faculty at the Institut National de la Recherche Scientifique (INRS), University of Illinois at Urbana Champaign (UIUC) and Georgia Tech (GaTech). In 1999 and 2000, she was a visiting scientist at Bell Labs, Holmdel, NJ, and in 2015 at MIT. From 2002-2004, she served as Program Director in Computer and Networks System Research at the National Science Foundation (NSF) in Arlington, VA. Dr. Jukan serves as co-Editor in Chief of the Elsevier Journal on Optical Switching and Networking (OSN). She was an elected Chair of the IEEE Optical Network Technical Committee, ONTC (2014-2015). She is recipient of an Award of Excellence for the BMBF/CELTIC project “100Gb Ethernet” and was also awarded the IBM Innovation Award (2009). She is Dean of Studies for a joint degree program between computer science and engineering (IST). Admela Jukan received her Dr.tech. degree (cum laude) in Electrical and Computer Engineering from the Technische Universität Wien, the M.Sc. degree in Information Technologies from the Politecnico di Milano, Italy, and her Dipl. -Ing. degree from the Fakultet Elektrotehnike i Racunarstva (FER), in Zagreb, Croatia.

Javier Mata, Ignacio de Miguel, Ramón J. Durán, Noemí Merayo, Sandeep Kumar Singh, Admela Jukan, Mohit Chamania, Artificial intelligence (AI) methods in optical networks: A comprehensive survey, Optical Switching and Networking, Volume 28, 2018, Pages 43-57

Yang (Cindy) Yi

Yang (Cindy) Yi is an assistant professor in the Bradley Department of Electrical and Computer Engineering (ECE) at Virginia Tech (VT). Prior to joining VT, she has been working on various research topics in the area of Integrated Circuits and Systems (ICS) at Texas A&M University (TAMU)University of Kansas (KU)University of Missour - Kansas CityFreescaleIBMIntel, and Texas Instruments (TI). She obtained her Ph.D. in Electrical and Computer Engineering at Texas A&M University, the M.S. and B.S. in Electrical Engineering at Shanghai Jiao Tong University. Yang (Cindy) Yi has more than 80 publications in international journals and conference proceedings. 7 of her paper have been selected as Best Paper Award at IEEE ISQED and IEEE Green Communications & Computing Technical Committee in 2018, IEEE GLOBECOM in 2016, Best Paper Award Finalist at ACM GLSVLSI in 2017, IEEE ISQED in 2017, IEEE VLSI-DAT in 2011, and IEEE EPEP in 2006. She received the NSF CAREER Award in 2018, United States Air Force (USAF) Summer Faculty Fellowship , and Miller Professional Development Award for Distinguished Research in 2016.

Hongyu An, M. Amimul Ehsan, Zhen Zhou, Fangyang Shen, Yang Yi,Monolithic 3D neuromorphic computing system with hybrid CMOS and memristor-based synapses and neurons, Integration, the VLSI Journal,2017, In Press

Yang Yi, Yongbo Liao, Bin Wang, Xin Fu, Fangyang Shen, Hongyan Hou, Lingjia Liu, FPGA based spike-time dependent encoder and reservoir design in neuromorphic computing processors, Microprocessors and Microsystems, Volume 46, Part B, 2016, Pages 175-183

Nathalie Mitton

Nathalie Mitton received the MSc and PhD. degrees in Computer Science from INSA Lyon in 2003 and 2006 respectively. She received her Habilitation à diriger des recherches (HDR) in 2011 from Université Lille 1. She is currently an Inria full researcher since 2006 and from 2012, she is the scientific head of the Inria FUN team which is focused on small computing devices like electronic tags and sensor networks. Her research interests focus on self-organization from PHY to routing  for wireless constrained networks. She has published her research in more than 30 international revues and more than 100 international conferences. She is involved in the set up of the FIT IoT LAB platform (http://fit-equipex.fr/, https://www.iot-lab.info), the FP7 VITAL or H2020 VESSEDIA projects and in several program and organization committees such as Adhocnow 2018&2016&2015, ICC 2018, Globecom 2018&2017, Pe-Wasun 2017, VTC 2018&2017&2016, WPMC 2017, ICT 2017, infocom workshop 2017, MobiCom 2015, etc. She also supervises several PhD students and engineers.

Anne-Sophie Tonneau, Nathalie Mitton, Julien Vandaele, How to choose an experimentation platform for wireless sensor networks? A survey on static and mobile wireless sensor network experimentation facilities, Ad Hoc Networks, Volume 30, 2015, Pages 115-127

Roberto Morabito, Riccardo Petrolo, Valeria Loscrì, Nathalie Mitton, LEGIoT: A Lightweight Edge Gateway for the Internet of Things, Future Generation Computer Systems, Volume 81, 2018, Pages 1-15

Christine Julien

Christine Julien is a Professor in the Department of Electrical and Computer Engineering at the University of Texas at Austin. She received her D.Sc. and M.S in Computer Science from Washington University in Saint Louis in 2014 and 2013, respectively, and her BS in Computer Science and Biology from Washington University in 2000. Her research interests are in the area of mobile and pervasive computing, and specifically with the intersection of these fields with software engineering. She creates novel abstractions for programming these novel environments, making it simpler for application developers to create expressive applications. This research spans from networking up to applications. She received the National Science Foundation Career Award and the Air Force Young Investigator Award and has received several awards for her research, service, and teaching.

Sanem Kabadayı, Christine Julien, Scenes: Abstracting interaction in immersive sensor networks, Pervasive and Mobile Computing, Volume 3, Issue 6, 2007, Pages 635-658

Anna Maria Vegni

Anna Maria Vegni (A’07–M’15) received the Laurea degree (cum laude) in electronics engineering and the Ph.D. degree in biomedical engineering, electromagnetics, and telecommunications from Roma Tre University, Rome, Italy, in 2006 and 2010, respectively. In 2009, she was a Visiting Researcher with the Multimedia Communication Laboratory, Department of Electrical and Computer Engineering, Boston University, Boston, MA, USA, under the supervision of Prof. Little, where she worked on vehicular networking and optical wireless communications. She is currently a non-tenured Assistant Professor of telecommunications with the Department of Engineering, Roma Tre University. Since 2010, she has been in charge of the Telecommunications Networks Laboratory course, Roma Tre University. She is the author of around 70 publications in journals, conferences, workshops, and book chapters. She coedited the book Cognitive Vehicular Networks (CRC Taylor & Francis Group, 2016), and the book Vehicular Social Networks (CRC Taylor & Francis Group, 2017). Her research interests include vehicular networking, visible light communications, and nanocommunications. She is involved in several EU programs and organization committees of international conferences. She is an associate editor for AD HOC NETWORKS Elsevier journal, JNCA Elsevier journal, and NANOCOMNET Elsevier journal.

Anna Maria Vegni, Valeria Loscrí, Chirality effects on channel modeling for THz-band wireless communications in LoS/NLoS propagation, Nano Communication Networks, Volume 10, 2016, Pages 27-37

Michela Taufer

Michela Taufer is an ACM Distinguished Scientist and a J.P. Morgan Chase Scholar at the University of Delaware where she leads the Global Computing Lab to promote the use of high performance computing to advance sciences. Michela Taufer joined the University of Delaware in 2007 where she was promoted to associate professor with tenure in 2012 and full professor in 2017. She earned her MS in Computer Engineering from the University of Padova and her Ph.D. in Computer Science from the Swiss Federal Institute of Technology (ETH). She was a post-doctoral research supported by the La Jolla Interfaces in Science Training Program (also called LJIS) at UC San Diego and The Scripps Research Institute. Before she joined the University of Delaware, Michela was faculty in Computer Science at the University of Texas at El Paso.

Boyu Zhang, Trilce Estrada, Pietro Cicotti, Pavan Balaji, Michela Taufer, Enabling scalable and accurate clustering of distributed ligand geometries on supercomputers, Parallel Computing, Volume 63, 2017, Pages 38-60