Distinguished Industry Speakers


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Distinguished Industry Speakers

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The following is a list of Signal Processing Society's distinguished industry speakers.

2018 Distinguished Industry Speakers

Alfonso Farina

Alfonso Farina (LF) received his doctor degree in Electronic Engineering, University of Rome (IT) (1967-1973). In 1974, Dr. Farina joined Selenia, then Selex ES, where he became Director of the Analysis of Integrated Systems Unit and subsequently Director of Engineering of the Large Business Systems Division. In 2012, he was Senior VP and Chief Technology Officer of the Company, reporting directly to the President. From 2013 to 2014, he was senior advisor to the CTO, retiring in October 2014. From 1979 to 1985, he was also professor of “Radar Techniques” at the University of Naples (IT). Today, Dr. Farina is a Visiting Professor at University College London (UCL), Dept. Electronic and Electrical Engineering, CTIF (Center for TeleInFrastructures) Industry Advisory Chair, and a Distinguished Lecturer (DL) of IEEE AESS. He is a consultant to Leonardo S.p.A. “Land & Naval Defence Electronics Division” (Rome), https://en.wikipedia.org/wiki/Leonardo_S.p.A.

Dr. Farina is LFIEEE, FIET, FREng, and Fellow of EURASIP. He has authored more than 600 peer-reviewed technical papers and books and monographs (published worldwide). He collaborates with several professional journals and conferences (mainly on radar and data fusion) as associate editor, reviewer, organizer of special issues, session chairman, plenary speaker, etc. Since 2017, he is Senior Editorial Board Member, IEEE Signal Processing Magazine. Dr. Farina was General Chair, IEEE RadarCon (2008), and Executive Conference Chair, International Conference on Fusion (2006).

Dr. Farina received the following most significant awards: Leader of the team that won the First Prize of the first edition of the Finmeccanica Award for Innovation Technology (2004); International Fellow of the Royal Academy of Engineering, U.K. (2005); IEEE Honor Ceremony, Montreal, Canada; IEEE Dennis J. Picard Gold Medal for Radar Technologies and Applications “for Continuous, Innovative, Theoretical, and Practical Contributions to Radar Systems and Adaptive Signal Processing Techniques” (2010); Oscar Masi Award for the AULOS® “green” radar by the Italian Industrial Research Association (AIRI) (2012); IET Achievement Medal “for outstanding contributions to radar system design, signal, data and image processing, and data fusion (2014). The main best paper awards received are M. Barry Carlton Award, IEEE Transactions on Aerospace and Electronic Systems (2001, 2003), IET – Proceedings on Radar Sonar and Navigation (2009-2010), and International Conference on Fusion (2004, 2009).

Alfonso Farina
Via Helsinki, 14,
00144 Rome, Italy
P: +39 335 740 9811
E: alfonso.farina@outlook.it,

Lecture Topics

  • 40 Years of Tracking for Radar Systems: A Cross-Disciplinary Academic and Industry Point of View
  • Perspectives in Data Fusion. An Industrial Point of View
  • Adaptivity in Radar Signal Processing. An Industrial Point of View
  • General Guidelines for Innovation Management in a Modern Defence Company

Ton Kalker

Ton Kalker (F) received both his M.S. and Ph.D. degrees in mathematics from the University of Leiden, The Netherlands, in 1979 and 1983, respectively. Dr. Kalker is SVP Audio Engineering at DTS (subsidiary of XPERI). Prior to that Dr. Kalker was the VP of Security and DRM at DTS where he led the development of next generation immersive audio for cinema at DTS. These efforts have resulted in the introduction of DTS:X for cinema, available in theaters globally. In this role, Dr. Kalker was (and is) an active participant in the relevant standardization organizations (SMPTE, ITU), taking on chair and editor positions in SMPTE.

Prior to DTS, Dr. Kalker was Vice-President of Technology at the Huawei Innovation Center, Santa Clara, responsible for setting and driving strategies for new media technologies. Prior to Huawei, he was a Distinguished Engineer at Hewlett-Packard, focusing on media security and content delivery ecosystems. Dr. Kalker was a technical co-chair of DECE (publicly known as Ultraviolet), building and standardizing an ecosystem for interoperable online video delivery. Prior to Hewlett-Packard, he was a principal researcher at Philips Electronics, working in the field of media security, in particular digital watermarking, robust content identification and interoperability of Digital Rights Managements systems. He was the technical lead for the Philips contribution to the standardization of video watermarking for DVD copy protection. His technical solution was accepted as the core technology for the proposed DVD copy protection standard. His work laid the foundation of the Content Identification business unit of Philips Electronics, successful in commercializing watermarking and other identification technologies, and now operating under the name Civolution as an independent company.

Dr. Kalker is an IEEE Fellow for contributions to Digital Watermarking (2001); Co-Founder, IEEE Transactions on Information Forensics (2005); Co-Founder and Chair, Information Forensics and Security Technical Committee (2006-2007); Guest Editor, IEEE Transactions on Signal Processing Supplement on Secure Media; Associate Editor, IEEE Transactions on Information Forensics and Security (2005-Present); Associate Editor, IEEE Transactions on Multimedia (2004-2005) (2011-Present); Associate Editor, IEEE Transactions on Image Processing (2011-Present); Associate Editor, IEEE Signal Processing Letters (2003-2004); Associate Member, Information Forensics and Security Technical Committee; Member, Image and Multidimensional Signal Processing Technical Committee (2000-2005); Member, Image, Video, and Multidimensional Signal Processing Technical Committee (2011-Present); Member, Signal Processing Fellow Evaluation Committee (2009-2011); Technical Program Chair, the first Workshop on Information Forensics and Security (WIFS-09 in London); Tutorial Co-Chair, ICME (2010); Tutorial Co-Chair, ICIP (2011); Technical Program Co-Chair, IEEE MMSP 2012; and was part-time faculty at the University of Eindhoven, the Netherlands (1998-2004).

Ton Kalker
1378 Cuernavaca Circulo
Mountain View
CA 94040, USA
Cell: 831-917-1350
Email: ton.kalker@ieee.org
SVP Audio Engineering

Lecture Topics

  • Digital Watermarking
  • Digital Rights Management
  • Immersive Sound Rendering and Coding

Thomas Marzetta

Thomas Marzetta (LF) received the PhD and SB in Electrical Engineering from Massachusetts Institute of Technology in 1978 and 1972, and the MS in Systems Engineering from University of Pennsylvania in 1973. Currently he is Distinguished Industry Professor at New York University Tandon School of Engineering, Electrical and Computer Engineering Department.

Prof. Marzetta had three industrial research careers prior to joining NYU: petroleum exploration at Schlumberger-Doll Research (1978 – 1987), defense at Nichols Research Corporation (1987 – 1995), and telecommunications at Bell Labs (1995 – 2017). At Bell Labs, he directed the Communications and Statistical Sciences Department within the former Mathematical Sciences Research Center, and he was elected a Bell Labs Fellow. He originated Massive MIMO, one of the cornerstones of fifth generation wireless technology. Prof. Marzetta is the lead author of the book "Fundamentals of Massive MIMO".

Prof. Marzetta was elected IEEE Fellow in 2003, and he received an Honorary Doctorate from Linköping University in 2015. He was on the Advisory Board of MAMMOET (Massive MIMO for Efficient Transmission), an EU-sponsored FP7 project, and was Coordinator of the GreenTouch Consortium’s Large Scale Antenna Systems Project. He has received awards including the IEEE Stephen O. Rice Prize (2015), the IEEE W. R. G. Baker Award (2015), and the IEEE Guglielmo Marconi Prize Paper Award (2013).

Thomas L. Marzetta
NYU Tandon School of Engineering
ECE Department, Room 9.108
2 MetroTech Center
Brooklyn, NY 11201
P: +1 646 997 3028 (o)
+1 908 591 1676 (c)
E: tom.marzetta@nyu.edu

Lecture Topics

  • Massive MIMO: It Really Works!
  • From Armstrong, Through Shannon, to Massive MIMO: 100 Years of Wireless Technological Progress
  • A Network Optimization Problem in the Year 1879

Tao Mei

Tao Mei (SM) is a Senior Researcher with Microsoft Research Asia. He received his B.E. and Ph.D. degrees from the University of Science and Technology of China, Hefei, China, in 2001 and 2006, respectively. He was elected as a Fellow of IAPR and a Distinguished Scientist of ACM in 2016, for his contributions to large-scale video analysis and applications.

Dr. Mei was the recipient of a number of paper awards from prestigious multimedia journals and conferences, including the Best Paper Awards from ACM Transactions on Multimedia Computing, Communications, and Applications (2017), IEEE Transactions on Circuits and Systems for Video Technology (2014), IEEE Transactions on Multimedia (2013), ACM International Conference on Multimedia (2009 and 2007), and so on. He is Editorial Board Member, IEEE Transactions on Multimedia, ACM Transactions on Multimedia Computing, Communications, and Applications, and IEEE Multimedia Magazine. He is General Co-chair, IEEE ICME (2019) and ICIMCS (2013); Program Co-chair, ACM Multimedia (2018); IEEE ICME (2015); IEEE MMSP (2015); and MMM (2013); and Area Chair, for a dozen international conferences. Dr. Mei is Member, IEEE Signal Processing Society Multimedia Signal Processing Technical Committee (2013-2019) and Image, Video, and Multidimensional Signal Processing Technical Committee (2017-2019). He is also in the Industry Subcommittee of IEEE Signal Processing Society Conference Board (2016).

Dr. Mei’s current research interests include multimedia analysis and computer vision. He is leading a team working on image and video analysis, vision and language, and multimedia search.

Tao Mei
Microsoft Research Asia
No 5 Dan Ling Street
Beijing 100080, China
P: +86 10 59173036
E: tmei@microsoft.com or tmei@live.com

Lecture Topics

  • Deep Visual Understanding: Fine-Grained Image and Video Recognition
  • Video Analysis with Deep Learning

Michael Picheny

Michael Picheny (F) is the Senior Manager of Speech Technologies at the IBM TJ Watson Research Center. He obtained his S.B (1975), S.M. (1978) and PhD (1981) all from MIT. He has worked in the Speech Recognition area since 1981, joining IBM immediately after finishing his doctorate. He has been heavily involved in the development of almost all of IBM's recognition systems, ranging from the world's first real-time large vocabulary discrete system through IBM's product lines for telephony and embedded systems.

Dr. Picheny is a Fellow of the IEEE. He has published numerous papers in both journals and conferences on almost all aspects of speech recognition. Dr. Picheny has received several awards from IBM for his work, including a corporate award, three outstanding Technical Achievement Awards and two Research Division Awards. He is the co-holder of over 50 patents and was named a Master Inventor by IBM in 1995 and again in 2000. Dr. Picheny served as Associate Editor, IEEE Transactions on Acoustics, Speech, and Signal Processing (1986-1989); Chair, Speech Processing Technical Committee of the IEEE Signal Processing Society (2002-2004); Member, SPS Awards Board (2004-2007); and Editorial Board Member, IEEE Signal Processing Magazine (2007-2009). Dr. Picheny has served multiple times as Adjunct Professor in the Electrical Engineering Department of Columbia University, most recently in 2016, co-teaching a course in speech recognition. He was a Member of the board of ISCA (International Speech Communication Association) (2005-2013) and named an ISCA Fellow (2014). He was a Technical Program Co-chair, IEEE ASRU (2005 and 2015); Industrial Liaison Co-Chair, INTERSPEECH (2006 and 2016); and Co-General Chair, IEEE ASRU Workshop (2011).

Dr. Picheny currently leads a team of researchers at IBM that tries to push the envelope on speech recognition and speech synthesis performance, and also supplies advanced speech technologies to IBM’s Watson Group.

Michael Picheny
Senior Manager, Speech Technologies
IBM Thomas J. Watson Research Center
POB 218
Yorktown Heights, NY 10598
P: +1 914 945 2527
F: +1 914 945 4490
E: picheny@us.ibm.com

Lecture Topics

  • Spoken Term Detection for Low-Resource Languages
  • Reaching Levels of Human Performance in Conversational Speech Recognition
  • Speech Recognition: What's there left to do?

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