Dr. Subhrakanti Dey's Personal Page
Contents
EMAIL ME
Personal
Details
Curriculum
Vitae
Qualifications
- PhD (1996), Department of Systems Engineering, RSISE,
The Australian National University
- Master of Technology (1993), Dept. of Electronics and
Electrical Communication Engineering, Indian Institute of Technology, Kharagpur, India
- Bachelor of Technology (1991), Dept. of Electronics and
Electrical Communication Engineering, Indian Institute of Technology, Kharagpur, India
Professional
Experience
- September 2007 – present: Full Professor,
Department of Electrical and Electronic Engineering, The University of Melbourne,
Australia
- January 2004 – September 2007: Associate
Professor, Department of Electrical and Electronic Engineering,
The University of Melbourne, Australia
- April 2001 - December 2003: Senior Lecturer,
Department of Electrical and Electronic Engineering, The University of
Melbourne, Australia
- February 2000 - April 2001: Lecturer, Department
of Electrical and Electronic Engineering, The University of Melbourne,
Australia
- September 1998 - February 2000: Research Fellow,
Department of Systems Engineering, RSISE, Australian National University,
Canberra, Australia
- September 1997 - September 1998: Research Associate,
Institute for Systems Research, University of Maryland, College Park,
Maryland, USA
- September 1995 - September 1997: Research Fellow, Department
of Systems Engineering, RSISE, Australian National University, Canberra,
Australia
Research
interests
The
following project descriptions relate to some of my current interests. They are
described briefly for the benefit of prospective graduate students who would
like to work in these or related areas.
- Information Processing for/via Wireless
Sensor Networks: Networked
sensor systems have been identified as a key technology for the 21st
century as a result of tremendous advances in micro-electromechanical
systems technology and fast wireless local area networks (LAN)
infrastructures. Today's sensors can be realized in sizes that can be as
small as a matchbox or even smaller. They can have on board processing
power, sensing ability and communication capability through wireless links
or the Internet to neighbouring sensors or a central processing unit and
location and positioning knowledge. They can operate in the acoustic,
seismic, infrared, magnetic modes as well as imagers and microradars. They can be deployed on the ground, in
the air, under water, on human bodies, on vehicles and in buildings. Thus,
in addition to early military applications, today's sensor networks can be
applied for infrastructure security, environment and habitat monitoring, quality
control and safety assurance in manufacturing industries, intelligent
highway control, biological sensing and human health monitoring, to name a
few. However, these sensor networks operate under resource-constrained
environments due to limited energy, computation and communication
capability which is often subject to randomly time-varying nature of the
wireless channel, the harsh operating environments and sensor node failure
etc. Classical information processing (such as detection/estimation) algorithms
which rely on availability of exact analog
measurements from the sensor need to be re-analysed and re-designed before
they can be applied to wireless sensor networks(WSN). One of my most
active research interests lie in design, development and analysis of
statistical detection/estimation algorithms for WSN under the constraints
of limited energy, communication and computational capability. The core of
the research involving these estimation algorithms for WSN encompasses the
quest for fundamental information theoretic limits as well as more
practical design-based implementation and performance optimization under
resource constraints.
- Networked Control systems: Recent years have seen a
tremendous growth in research in networked control systems, or systems
with non-classical information structure, where a large number of sensors
and actuators can be connected via wireless or a mixture of wired/wireless
links. These types of wireless sensor and actuator networks (WSAN) arise
in many industrial applications, manufacturing systems and remotely
operated control systems. These networks are fundamentally different from
traditional information networks in that the detrimental effects of
networks (such as delay, loss of packets etc.) can have a far more
devastating effect on the network performance, such as a nuclear plant
becoming unstable or a target trajectory estimate going completely out of
bound. My research interests are focused on stochastic estimation and
control over bandwidth limited and randomly fading noisy communication
channels, stochastic stability analysis of networked complex systems and
practical controller design with robust performance guarantees for such
systems.
- Cross layer optimization for resource
allocation in wireless networks: In almost all types of wireless (cellular, ad hoc and
sensor networks), it has now been established (arguably) that cross-layer
design is the most effective way to optimize their performance. My
research interests lie in design and analysis of optimum resource allocation
algorithms for wireless cellular, ad hoc and sensor networks through power
control, data rate control, optimal scheduling and media access algorithms
especially when only partial channel information is available, and
lifetime maximization of sensor networks. These algorithms are based on
applications of nonlinear convex optimization or convex approximations to
problems that are inherently non-convex in nature. Some of my more recent
interests also include wireless optical communication systems
and their capacity analysis problems as well as emerging areas such cognitive
radio networks.
- Fundamentals of statistical signal
processing for complex systems: A small percentage of my research efforts is spent pursuing fundamental results in statistical
signal processing in applications to large-scale complex systems aiming
for reduced-complexity algorithms with rigorous performance guarantees.
Although these algorithms are mostly generic, they have potential
applications in biological systems, manufacturing, telecommunications and
defence.
Journal Editorial Responsibilities:
·
2004-2007: Associate Editor, IEEE Transactions on Automatic Control
·
2007-2010: Associate Editor, IEEE Transactions on Signal Processing
·
2003- present: Associate Editor, Systems and
Control Letters (Elsevier)
Publications
Journal
Publications:
Hidden Markov Model Signal
Processing:
- V. Krishnamurthy, S. Dey and J. P. Leblanc, ``Blind Equalization of IIR Channels using Hidden
Markov Models and Extended Least Squares'', IEEE Transactions on Signal Processing, vol.43, No. 12, pp. 2994-3006, December
1995.
- S. Dey, V. Krishnamurthy and T. Salmon-Legagneur, ``Estimation of
Markov Modulated Time-series via EM Algorithm'', IEEE Signal Processing Letters, vol. 1,
pp. 153-155, October 1994.
- L. Shue, B. D. O. Anderson
and S. Dey, ``Exponential stability of filters
and smoothers for hidden Markov models'', IEEE Transactions on
Signal Processing, vol. 46, no. 8, pp. 2180-2194, August 1998.
- L. Shue, S. Dey, B.D.O.
Anderson and F. De Bruyne, ``On State-estimation of a 2-state hidden Markov model
with quantisation,'' IEEE Transactions on Signal Processing, vol
49, no. 1, pp. 202-208, January 2001.
- S. Dey, ``Reduced-complexity
filtering for partially observed nearly completely decomposable Markov
chains", IEEE Transactions on Signal Processing, vol.
48, no. 12, pp. 3334-3344, December 2000.
- L. Shue and S. Dey, ``Complexity reduction in fixed lag smoothing for
hidden Markov models,'' IEEE Transactions on Signal Processing, , vol. 50,
no. 5, pp. 1124-1132, May 2002.
- V. Krishnamurthy and S. Dey, ``Reduced-complexity
spatio-temporal image-based tracking filters for
maneuvering targets'', IEEE
Transactions on Aerospace and Electronic Systems , vol.39, no: 4, pp.
1277-1291, October 2003.
- S. Dey and I. M. Mareels, ``Reduced
complexity estimation for large-scale hidden Markov models,'' IEEE
Transactions on Signal Processing , vol. 52, no. 5, pp. 1242-1249, May
2004.
Stochastic Estimation and Control
- S. Dey and J. B. Moore, ``Risk-sensitive
filtering and smoothing for Hidden Markov Models'', Systems and
Control Letters, Vol. 25, No. 5, pp. 361-366, August 1995.
- J. B. Moore, R. J. Elliott and S. Dey, ``Risk-sensitive Generalizations of Minimum Variance
Estimation and Control'', Journal of Mathematical Systems,
Estimation and Control (summary), Vol. 7, no. 1, pp. 123-126, 1997.
- S. Dey and J. B. Moore, ``Risk-sensitive
dual control'', Int. Journal of Robust and Nonlinear Control,
volume 7, no: 12, pp. 1047-1056, December 1997.
- R. J. Elliott, J. B. Moore and S. Dey, ``Risk-sensitive maximum likelihood sequence
estimation'', IEEE Transactions on Circuits and Systems Part I,
Vol. 43, no. 9, pp. 805-810, September 1996.
- S. Dey and J. B. Moore, ``Risk-sensitive
filtering and smoothing via Reference Probability Methods'', IEEE
Trans. Automatic Control, vol. 42, no. 11, pp. 1587-1591, November
1997.
- S. Dey and J. B. Moore, ``Finite-dimensional
risk-sensitive filters and smoothers for nonlinear discrete-time systems'',
IEEE Transactions on Automatic Control, vol. 44, no. 6, pp.
1234-1239, June 1999.
- C. D. Charalambous, S. Dey and R. J. Elliott, ``New finite-dimensional risk-sensitive filters: small
noise limits'', IEEE Trans. Automatic Control, vol. 43, no.
10, pp. 1424-1429, October 1998.
- S. Dey and C. D. Charalambous, ``On asymptotic stability of continuous -time
risk-sensitive filters with respect to initial conditions,'' Systems
and Control Letters ,
vol. 41, no. 1, pp. 9-18, 2000.
- S. Dey and C. D. Charalambous, ``Discrete-time risk-sensitive filters with
non-Gaussian initial conditions and their ergodic
properties,'' Asian Journal of Control, , vol. 3, no.4, pp. 262-271,
December 2001.
- G. Yin and S. Dey, ``Weak
convergence of hybrid filtering problems involving nearly completely
decomposable hidden Markov chains,'' SIAM Journal on Control
& Optimization ,
vol. 41, no. 8, pp. 1820-1842, 2003.
Optimal Resource Allocation in Wireless
(cellular/ad hoc/sensor) Networks and Free-Space Optical Channels:
- S. Dey and J.S. Evans, ``Optimal
power control over multiple time-scale fading channels with service outage
constraints,'' IEEE
Transactions on Communications, vol. 53, no.4, pp. 708-717,
April 2005.
- J. Papandriopoulos, J.S. Evans
and S. Dey, ``Optimal power control for
Rayleigh-faded multiuser systems with outage constraints,'' IEEE
Transactions on Wireless Communications , volume 4, no. 6, pp.
2705-2715, November 2005.
- T. Alpcan, T. Basar and S.
Dey, "A Power Control Game Based on
Outage Probabilities for Multicell Wireless Data
Networks", IEEE Transactions on Wireless
Communications, vol. 5, no. 4, pp. 890-899, April 2006.
- J. Papandriopoulos, J.S.
Evans and S. Dey, “Outage-based Optimal
Power Control for Generalized Multiuser Fading Channels,” IEEE Transactions on Communications,
Vol. 54, no. 4, pp. 693-703, April 2006.
- S. Dey and
J.S. Evans, ``Outage capacity and optimal
power allocation for multiple time-scale parallel fading channels'', IEEE
Transactions on Wireless Communications, volume 6, no. 7, pp.
2369-2373, July 2007.
- M. Huang and S. Dey, ``Combined
Rate and Power Allocation with Link Scheduling in Wireless Data Packet
Relay Networks with Fading Channels,'' EURASIP Journal on Wireless Communications and Networking,
volume 2007, article ID 24695, 17 pages.
- J.C.F. Li, S. Dey and J.S. Evans, ``Maximal lifetime rate and power allocation for
wireless sensor systems with data distortion constraints,'' IEEE
Transactions on Signal Processing, volume 56, no. 5, pp. 2076-2090,
May 2008.
- K. Chakraborty, S. Dey and M. Franceschetti, ``Outage Capacity of MIMO Poisson Fading Channels,''
IEEE Transactions on Information
Theory, vol. 54, no. 11, pp. 4887-4907, November 2008.
- J. Papandriopoulos, S. Dey
and J.S. Evans, ``Optimal and Distributed
Protocols for Cross-Layer Design of Physical and Transport Layers in
MANETs,'' IEEE/ACM
Transactions of Networking, vol. 16, no. 6, pp. 1392-1405, December
2008.
- K. Chakraborty, S. Dey and M. Franceschetti, ``Service outage based power and rate control for
Poisson fading channels,''
IEEE Transactions on
Information Theory, vol. 55, no. 5, pp. 2304-2318, May 2009.
- J.C-F. Li and S. Dey, ``Outage
Minimization in Wireless Relay Networks with Delay Constraints and Causal
Channel Feedback,'' European Transactions on Telecommunications,
vol. 21, pp. 251-265, 2010.
- Y.Y. He and S. Dey, ``Outage
Minimization for Parallel Fading Channels with Limited Feedback,"
EURASIP Journal of Wireless
Communications and Networking, in press,
November 2012.
- Y.Y. He and S.Dey, ``Throughput Maximization in Poisson Fading Channels
with Limited Feedback," IEEE
Transactions on Communications, in press,
(accepted October 10, 2012).
Cognitive Radio Networks:
32. Y.Y. He and S. Dey, ``Power Allocation in Spectrum Sharing Cognitive Radio Networks with Quantized
Channel Information," IEEE Transactions on Communications,
vol. 59, no. 6, pp. 1644-1656, June 2011.
33. E. Nekouei, H. Inaltekin and
S. Dey, ``Throughput scaling in cognitive
multiple-access with average power and interference constraints," IEEE
Transactions on Signal Processing, vol. 60, no. 2, pp. 927-946, February
2012.
34. Y. Y. He and S. Dey, ``Throughput maximization in cognitive radio under peak
interference constraints with limited feedback," IEEE Transactions on Vehicular Technology, vol. 61, no. 3, pp. 1287-1305,
March 2012.
35. Y. Y. He and S. Dey, ``Power Allocation for Outage Minimization in Cognitive
Radio Networks with Limited Feedback," IEEE Transactions on Communications, submitted, July 2011.
36. A. Limmanee and S. Dey and
J.S. Evans, “Service-outage Capacity
Maximization in Cognitive Radio for Parallel Fading Channels," IEEE Transactions on Communications, to
appear, February 2013.
Signal Processing for Sensor Networks:
- M. Huang and S. Dey, ``Dynamic
Quantizer Design for Hidden Markov State Estimation via
Multiple Sensors with Fusion Centre Feedback '', IEEE
Transactions on Signal Processing, vol. 54, no. 8, pp.
2887-2896, August 2006.
- A.S. Leong, S. Dey and J.S. Evans, “Probability of error analysis for Hidden Markov
Model filtering with random packet losses'', IEEE Transactions on Signal Processing, Vol. 55, no.3, pp.
809-821, March 2007.
- M. Huang and S. Dey, ``Dynamic
quantization for multi-sensor estimation over bandlimited
fading channels,'' IEEE
Transactions on Signal Processing, volume 55, no. 9, pp. 4696-4702,
September 2007.
- A.S.C. Leong, S. Dey and J.S. Evans, ``Error exponents for Neyman-Pearson
detection of Markov chains in noise,'' IEEE Transactions on Signal Processing, vol. 55, no. 10, pp.
5097-5103, October 2007.
- A.S.C. Leong, S. Dey and J.S. Evans, ``On Kalman Smoothing with
Random Packet Loss,'' IEEE
Transactions on Signal Processing, Vol. 56, No. 7, pp. 3346-3351, July 2008.
- N. Ghasemi and S. Dey, ``A Constrained MDP Approach to Dynamic Quantizer Design for HMM State Estimation'', IEEE Transactions on Signal Processing,
vol. 57, no. 3, pp. 1203-1209, March 2009.
- A.S.C. Leong, S. Dey and J.S. Evans, ``Asymptotics and Power Allocation for State Estimation over
Fading Channels", IEEE
Transactions on Aerospace and Electronic Systems, vol. 47, no. 1, pp.
611-633, January 2011.
- A.S.C. Leong, S. Dey, G. Nair and P. Sharma, ``Power Allocation For Outage Minimization in State
Estimation Over Fading Channels," IEEE Transactions on Signal Processing, vol. 59, no. 7, pp.
3382--3397, July 2011.
- A.S. Leong and S. Dey, ``On
Scaling Laws of Diversity Schemes in Decentralized Estimation,'' IEEE
Transactions on Information Theory, vol. 57, no. 7, pp. 4740-4759,
July 2011 .
- C-H. Wang and S. Dey, ``Distortion
Outage Minimization in Nakagami Fading Using
Limited Feedback," EURAPSIP Journal on Advances in Signal Processing, 2011:92
doi:10.1186/1687-6180-2011-92.
- F. Li, J.S. Evans and S. Dey, ``Design of Distributed Detection Schemes for Multiaccess
Channels,'' IEEE Transactions on Aerospace and Electronic
Systems, in press, (accepted September 2010).
- F. Li, J.S.
Evans and S. Dey, “Decision Fusion over Noncoherent Fading Multiaccess
Channels," IEEE Transactions on Signal Processing,
vol. 59, no. 9, pp. 4367-4380, September 2011.
- C-H. Wang,
A.S.C Leong and S. Dey, ``Distortion Outage
Minimization and Diversity Order Analysis for Coherent Multi-access," IEEE Transactions on Signal Processing, vol. 59, no. 12, pp.
6144-6159, December 2011.
- N. Ghasemi and S. Dey, ``Dynamic
Quantization and Power Allocation for Multisensor
Estimation of Hidden Markov Models,'' IEEE Transactions on Automatic Control,
vol. 57, no. 7, pp. 1641-1656, July 2012.
Control and Communications:
51. M. Huang and S. Dey, “Stability of Kalman filtering
with Markovian packet losses'', Automatica, vol.
43, no. 4, pp. 598-607, April 2007.
52. P. Minero, M. Franceschetti, S. Dey and
G. Nair, ``Data Rate Theorem for Stabilization over
Time-Varying Feedback Channels,'' IEEE
Transactions on Automatic Control, vol. 54, no. 2, pp. 243-255, February
2009.
53. S.
Dey, A.S.C. Leong and J.S. Evans, ``Kalman Filtering with Faded Measurements,'' Automatica,
volume 45, no.~10, pp.~2223-2233, October 2009.
54. M.
Huang, S. Dey, G. Nair and J.H. Manton, ``Stochastic
Consensus over Noisy Networks with Markovian and
Arbitrary Switches,'' Automatica, vol.
46, no. 10, pp. 1571-1583, October 2010.
55. D.
Quevedo, A. Ahlen, A.S.C. Leong and S. Dey, ``Control
of Transmission Powers for State Estimation over Multiple Fading Wireless
Channels,"
Automatica,
vol. 48, no. 7, pp. 1306-1316, July 2012.
56. A.S.C.
Leong, S. Dey and J. Anand, “Optimal LQG
Control and Power Allocation over Continuous Fading Channels”, Systems and Control
Letters, submitted, November 2011.
Compressive Sensing:
57. J.M.~Scarlett, J.S.~Evans and S.~Dey, ``Compressed Sensing with Prior Information:
Information-Theoretic Limits and Practical Decoders”, IEEE
Transactions on Signal Processing, vol. 61, no. 2, pp. 427-439, February 2013.
Signal Processing for Communications:
- R. Jana and S. Dey, ``Change
Detection in Teletraffic Models'', IEEE
Trans. on Signal Processing , vol. 48, no. 3, pp. 846-853, March 2000.
- R. Jana and S. Dey, ``3Gwireless
Capacity Optimization for Widely Spaced Antenna Arrays,'' IEEE
Personal Communications Magazine, vol. 7, no. 6, pp. 32-35, December
2000.
Probabilistic Pattern Recognition:
- J. S. Baras and S. Dey, ``Combined
compression and classification with learning vector quantization'',
IEEE Transactions on Information Theory, vol. 45, no. 6, pp.
1911-1920, September 1999.
Selected Conference Publications
(Note: This is a partial list only and no longer updated regularly):
- R. K. Boel, J. B. Moore and
S. Dey, ``Geometric Convergence of Filters for Hidden Markov Models,'' Proc.
of 34th IEEE Conf. on Decision and Control, pp. 69-74, New Orleans,
December 1995.
- S. Dey and J. B. Moore, ``On finite-dimensional
risk-sensitive estimation,'' Proc. International Symposium on Signal
Processing and its Applications, vol. 2, pp. 849-852, Gold Coast,
Australia, August 1996.
- S. Dey, R. J. Elliott and J. B. Moore,
``Finite-dimensional risk-sensitive estimation for continuous-time
nonlinear systems,'' Proc. European Control Conference, Brussels,
July 1997.
- L. Shue, B. D. O. Anderson
and S. Dey, ``On steady state properties of certain Max-plus products,'' Proc.
of the ACC ,
Philadelphia, Pennsylvania, USA, June 1998.
- S. Dey and S. I. Marcus, ``A framework for mixed
estimation of hidden Markov models,'' Proc. of IEEE CDC
, pp. 3473-3478,
December 1998, Tampa, Florida.
- S. Dey and C. D. Charalambous, ``Discrete-time
risk-sensitive filters with non-Gaussian initial conditions and their ergodicity properties,'' Proc. of the ACC , pp.
4403-4407, San Diego, USA, June 1999.
- F. De Bruyne and S. Dey,
``Change Detection and its Application to Adaptive Control,'' Proc. of
the ACC 2000 ,
Chicago, June 2000, to appear.
- R. Jana and S. Dey, ``Mobile Capacity Enhancement using
Unequally Spaced Antenna Arrays,'' to appear, Proc. of IEEE VTC 2000 ,
Japan, May 2000.
- S. Dey, ``Reduced-complexity filtering for partially observed
nearly completely decomposable Markov chains,'' to appear, Proc. of
Mathematical Theory of Networks and Systems , Perpignan, France, June
2000.
- R. Jana and S. Dey, ``Mobile Capacity Optimization for
Widely Spaced Antenna Arrays,'' Proc. IEEE International Conference on
Third Generation Wireless Communications , Silicon Valley, USA, June
2000, to appear.
- L. Shue and S. Dey,
``Reduced-complexity smoothing for hidden Markov models,'' Proceedings
of the IEEE CDC 2000 ,
Sydney, Australia, to appear.
- N. Bui and S. Dey, ``Stochastic power control in CDMA
with Markov fading channels,'' Proc. IEEE International Conference on
Third Generation Wireless and Beyond , to appear, June 2001.
- V. Krishnamurthy and S. Dey, ``Reduced-complexity
estimation for Poisson processes modulated by nearly completely
decomposable Markov chains, '' Proc. of IEEE International Symposium on
Information Theory ,
pp. 207, June 2001, Washington D.C.
- N. Bui and S. Dey, ``Optimal power control in CDMA over
Markov fading channels,'' Proc. of IEEE International Symposium on
Information Theory ,
pp. 79, July 2002, Lausanne, Switzerland.
- G. Nair, S. Dey and R. J. Evans,
``Communication-limited stabilizability of jump
Markov linear systems,'' CD-ROM Proc. Mathematical Theory of Networks
and Systems (MTNS) ,
Southbend, USA, August 2002.
- V. Krishnamurthy and S. Dey, ``Reduced-complexity spatio-temporal image-based tracking of maneuvering targets,'' Proceedings of the 5th Intl.
Conference on Information Fusion , vol. 1, pp. 743-750, Annapolis, Maryland,
USA, June 2002.
- J. Papandriopoulos, J. Evans
and S. Dey, ``Iterative power control and multiuser detection with outage
probability constraints'', to appear, Proc. ICC 2003 , Anchorage, May 2003.
- J. Papandriopoulos, J. Evans and
S. Dey, ``Optimal power control in CDMA networks with constraints on
outage probability,'' Proc. of the Wi'Opt
2003: Modelling and optimization in mobile, ad-hoc and wireless networks ,
to appear, Sophia-Antipolis, France, March 2003.
- S. Dey and F.A. Galati, ``Information theoretic quantiser design in decentralized estimation for
hidden Markov models'', Proc. of ICASSP 2003 , to appear, Hong Kong, April
2003.
- J. Papandriopoulos, J.S.
Evans and S. Dey, ``A framework for joint power control and multiuser detection
with outage probability specifications,'' GLOBECOM 2003
, submitted.
- S. Dey and J.S. Evans, ``Optimal power control in
wireless data networks with outage-based utility guarantees,'' CDC 2003 ,
submitted.
- G.N. Nair, S. Dey and R.J. Evans, ``Infimum
data rates for stabilizing Markov jump linear systems,'' CDC 2003 ,
submitted.
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Created : 15th March, 2000
Last
Modified : 8th August, 2002
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