Expert profile: Dr. Ing. Roberto Sicconi

[ ID = 2250 ] Dr. Ing. Roberto Sicconi 
Name Sicconi, Dr. Ing. Roberto
Job Title Program Director 
Organisation IBM Research 
Address 1101 Kitchawan Rd. 
Postal Code 10598 
City Yorktown Heights 
Country United States 
Phone +1 914-945-3159
Fax +1 914-945-4490
Mobile +1 914-439-7436
Email sicconi_(on)_yahoo.com [@ replaced for spam protection]
Organisation URL  
Personal URL  
Membership IEEE, ACM 
LanguagesEnglish Italian, German
Specialism Web Applications 
PhotographDescription or CV
Roberto Sicconi, Program Director at IBM T.J. Watson Research, has received his 
M.S degree from the Politecnico University of Milan, Italy and his Ph.D. degree 
from the same University in 1985 in the area of image processing and new 
Computer Aided Design techniques. 
He joined IBM Italy in 1985 to work on development of multimedia platforms, 
both hardware and software, working on hardware acceleration for hi-resolution 
PC and RISC/6000 workstations, DSP-based front-ends for IBM speech recognitions 
systems on PCs, PS/2 and laptops. In 1990 he became manager of the Multimedia 
Development Lab at Vimercate, Italy, leading development of speech recognition 
products (Martin/Voicetype), high-throughput bank check image scanners, a 
high-resolution negative film scanner, TV-Teletext VBI receivers, high-speed 
modems, a satellite Internet data broadcasting system, IBM cryptographic 
systems for data security, a portable videoconferencing system for laptops. In 
1998 he moved to the US to work as executive assistant to the GM of IBM 
Microelectronics, leading two cooperation projects with IBM Research (a speech 
chip and a Bluetooth chip). 
Dr. Ing Sicconi has been with the Human Language Technology group at IBM T. J. 
Watson Research Center since 2000. He currently manages development of 
exploratory prototypes of conversational and multimodal user interfaces in 
smartphones and other consumer devices (STB, videogames), with a special focus 
on cars, both in standalone and in network-connected configurations. 
Current research projects involve advanced conversational dialog systems, 
leveraging natural speech input, dynamic dialog management, workload 
management, context- and environment-aware communication with the user to 
provide ease-to-use and safe access to services, both local and across the 
network. Latest additions are visual speech activity detection, combined with 
head-pose detection, eye-gaze monitoring and lip-motion feature extraction to 
deliver integrated audio-visual speech recognition for improved robustness in 
challenging noisy environments.

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