Systems, Man & Cybernetics - April 2016 - 25

and their specified parameters of sensing. Such explicit
recognition of the quality of sensed context within
applications is an essential component of future context-aware ubiquitous health-care applications and
software infrastructures.
Acknowledgment
The work of Nirmalya Roy is partially supported by
the National Science Foundation (NSF) under grants
CNS-1344990, CNS-1544687, and IIP-1559752; the ONR
under grant N00014-15-1-2229; Constellation: Energy to
Educate; and the University of Maryland BaltimoreUniversity of Maryland Baltimore County Research
and Innovation Partnership grant. The work of Archan
Misra is partially supported by the Singapore Ministry
of Education Academic Research Fund Tier 2 under
research grant MOE2011-T21001 and partially by the
Nationa l Resea rch Fou ndation, P r i me M i n ister's
Office, Singapore, under the International Research
Center at Singapore Funding Initiative and administered by the Interactive and Digital Media Program
Office. The work of Sajal Das is partially supported by
NSF grants IIS-1404673 and IIP-1540119. The work of
Christine Julien is supported in part by the NSF under
grant CNS-1219232.

systems, including energy-efficient mobile analytics and
activity recognition.
Sajal K. Das (sdas@mst.edu) is the chair of computer
science and the Daniel St. Clair Endowed chair at the Missouri University of Science and Technology, Rolla. During
2008-2011, he was the program director in the Division of
Computer Networks and Systems of the National Science
Foundation. Prior to 2013, he was a University Distinguished Scholar Professor of Computer Science and Engineering and the founding director of the Center for
Research in Wireless Mobility and Networking at the University of Texas at Arlington. He serves as the editor-in-chief
of Pervasive and Mobile Computing and as an associate
editor of IEEE Transactions on Mobile Computing, ACM
Transactions on Sensor Networks, Journal of Parallel and
Distributed Computing, and Journal of Peer to Peer
Networking and Applications. He is a Fellow of the IEEE.
References
[1] A. Deshpande, C. Guestrin, S. Madden, J. M. Hellerstein, and W. Hong, "Model-based
approximate querying in sensor networks," VLDB J., vol. 14, no. 4, pp. 417-443, 2005.
[2] W. Hu, A. Misra, and R. Shorey, "CAPS: Energy efficient processing of continuous
aggregate queries in sensor networks," in PerCom, 2006, pp. 190-199.
[3] N. Katenka, E. Levina, and G. Michailidis, "Local vote decision fusion for target
detection in wireless sensor networks," IEEE Trans. Signal Processing, vol. 56, no. 1,
pp. 329-338, Jan. 2008.

About the Authors
Nirmalya Roy (nroy@umbc.edu) earned his B.S. degree
in computer science and engineering from Jadavpur University, India, in 2001 and his M.S. and Ph.D. degrees in
computer science and engineering from the University of
Texas at Arlington in 2004 and 2008, respectively. He is an
assistant professor in the Department of Information Systems at the University of Maryland, Baltimore County. His
research interests include pervasive health care, sensordriven health and green technologies, design and modeling
of smart environments, and mobile and pervasive systems.
Christine Julien (c.julien@utexas.edu) earned her
B.S. degree with majors in computer science and biology
in 2000, her M.S. degree in 2003, and her D.Sc. degree in
2004 from Washington University in St. Louis. She is an
associate professor in the Department of Electrical and
Computer Engineering at the University of Texas at Austin. Her research work focuses on the intersection of
software engineering and dynamic, unpredictable networked environments.
Archan Misra (archanm@smu.edu.sg) earned his
B.Tech. degree in electronics and communication engineering from the Indian Institute of Technology Kharagpur,
India, in July 1993 and his Ph.D. degree in electrical and
computer engineering from the University of Maryland at
College Park in May 2000. He is an associate professor of
information systems at Singapore Management University
(SMU) and a deputy director of the joint Carnegie Mellon
University-SMU Living Analytics Research Center. His
research interests are pervasive computing and mobile

[4] A. Krause, A. Smailagic, and D. Siewiorek, "Context-aware mobile computing:
Learning context-dependent personal preferences from a wearable sensor array,"
IEEE Trans. Mobile Comput., vol. 5, no. 2, pp. 113-127, Feb. 2006.
[5] C. H. Liu, P. Hui, W. Branch, and B. Yang, "QoI-aware energy management for wireless sensor networks," in PerCom Workshops, Mar. 2011, pp. 8-13.
[6] R. Niu and P. K. Varshney, "Distributed detection and fusion in a large wireless
sensor network of random size," EURASIP J. Wireless Commun. Network., vol. 5, no.
4, pp. 462-472, 2005.
[7] C. Olston and J. Widom, "Offering a precision performance tradeoff for aggregation
queries over replicated data," in Proc. VLDB, 2000, pp. 144-155.
[8] V. Rajamani and C. Julien, "Blurring snapshots: Temporal inference of missing and
uncertain data," in PerCom, Mar. 2010, pp. 40-50.
[9] N. Roy, A. Misra, and D. Cook, "Infrastructure-assisted smartphone-based
ADL recognition in multi-inhabitant smart environments," in PerCom, Mar. 2013,
pp. 38-46.
[10] N. Roy, A. Misra, and D. Cook, "Ambient and smartphone sensor assisted ADL
recognition in multi-inhabitant smart environments.," J. Ambient Intell. Human.
Comput., vol. 7, no. 1, pp. 1-19, Feb. 2016.
[11] N. Roy, A. Misra, S. K. Das, and C. Julien, "Quality-of-inference (QoINF)-aware
context determination in assisted living environments," in ACM SIGMOBILE Workshop
on Medical-Grade Wireless Networks, 2009.
[12] N. Roy, A. Misra, C. Julien, S. K. Das, and J. Biswas, "An energy efficient quality adaptive multi-modal sensor framework for context recognition," in PerCom, Mar.
2011, pp. 63-73.
[13] N. Roy, G. Tao, and S. K. Das, "Supporting pervasive computing applications with
active context fusion and semantic context delivery.," Pervasive Mobile Comput. J.,
vol. 6, no. 1, pp. 21-42, Feb. 2010.
[14] N. Roy, A. Misra, S. K. Das, and C. Julien, "Determining quality- and energy-aware
multiple contexts in pervasive computing environments," IEEE/ACM Trans. Networking, Dec. 2015.

Ap ri l 2016

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Table of Contents for the Digital Edition of Systems, Man & Cybernetics - April 2016

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