AI Magazine - Fall 2019

Steinberg, N., and Bowman, C. L. 2009. Revisions to the

JDL Data Fusion Model. In Handbook of Multisensor Data Fusion, edited by M. E. Liggins, D. L. Hall, and J. Llinas, 45–68.

London: CRC Press.

Steinberg, N.; Bowman, C. L.; and White, F. E. 1999. Revisions to the JDL Data Fusion Model. In Proceedings 3719: Sensor Fusion: Architectures, Algorithms, and Applications III. Bellingham, WA: SPIE. doi.org/

10.1117/12.341367

Strang, T., and Linnhoff-Popien, C. 2004. A Context Modeling Survey. Paper presented at the 1st International Workshop on Advanced Context Modeling, Reasoning and Management.

Nottingham, UK, September 7–10.

Sycara, K.; Glinton, R.; Yu, B.; Giampapa, J.; Owens, S.;

Lewis, M.; and C. Grindle. 2009. An Integrated Approach to High-Level Information Fusion. Information Fusion 10( 1): 25–50. doi.org/10.1016/j.inffus.

2007.04.001

Voss, P. 2007. Essentials of General Intelligence: The Direct Path to Artificial General Intelligence. In Artificial General Intelligence. Cognitive Technologies, edited by B. Goertzel and C. Pennachin, 131–57. Berlin: Springer. doi.org/

10.1007/978-3-540-68677-4_ 4

White, F. E. 1987. Data Fusion Lexicon, Technical Report, San Diego, CA: Naval Ocean Systems Center.

Zadeh, L. A. 1983. The Role of Fuzzy Logic in the Management of Uncertainty in Expert Systems. Fuzzy Sets and Systems 11( 1–3): 199–227. doi.org/10.1016/S0165-

0114( 83)80081-5

Lauro Snidaro received his PhD (2006) in computer science from the University of Udine, where he is now an associate professor. His main interests include data/information fusion, computer vision, machine learning and multimedia. Appointed Italian member of several NATO Research Task Groups on information fusion since 2003, Snidaro was the lead editor of Context-Enhanced Information Fusion — Boosting Real-World Performance with Domain Knowledge,

published by Springer in 2016. He is editor of the fusion
for signal/image processing and understanding area for the
Elsevier Information Fusion journal, and of the high level
fusion area for the ISIF Journal of Advances in Information
Fusion.

Jesus Garcia is an associate professor in the Computer Science Department at the Universidad Carlos III de Madrid. His main research interests are computational intelligence, sensor and information fusion, machine vision, traffic management systems and autonomous vehicles. Within these areas, including theoretical and applied aspects, he has coauthored more than 10 book chapters, 60 journal papers and 180 conference papers. He has served on several advisory and programming committees in organizations for IEEE, ISIF, and NATO. He is the chair of the Spanish IEEE Chapter on Aerospace and Electronic Systems since 2013 and appointed Spanish member of several NATO-STO Research Groups.

James Llinas is a research professor emeritus and rounding director of the Center for Multisource Info Fusion at the State University of New York at Buffalo, New York, USA. He is an internationally-recognized expert in sensor, data, and information fusion, coauthored the first integrated book Multi-Sensor Data Fusion, and has taught and lectured internationally for more than 20 years on this topic. He has also coedited and coauthored the Handbook of Data Fusion, Distributed Fusion for Net-Centric Operations, and most recently, Context Enhanced Information Fusion.

Erik Blasch is a program officer at the Air Force Office of Scientific Research. He received a BS in mechanical engineering from Massachusetts Institute of Technology; MS in mechanical, health science, and industrial engineering from the Georgia Institute of Technology; MS in electronics, economics, and business from Wright State University; and a PhD in electrical engineering from Wright State University. He has compiled more than 750 papers, 21 patents, and 5 books focusing on robotics, information fusion, and man-machine systems, starting with the 1994 AAAI Robot Competition Winner (AI Magazine 16( 2), 1995). He is an ISIF member, AIAA Associate Fellow, SPIE Fellow, and IEEE Fellow.

AI in Practice Returns to AAAI- 20

The AI in Practice program will again be featured at the AAAI conference. It will be held at AAAI- 20 on Wednesday, February 12, 2020 in New York, NY, and will focus on emerging applications of AI in healthcare. The program aims to offer a venue for exchanging ideas among participants from different disciplines, from general computer science, to AI and ethics, to medicine and public health. The event program will include keynotes, invited talks, and a discussion panel. Speakers will include: • Vivian Lee (Verily Life Sciences)