Publications


Submitted Papers

Forthcoming Papers

L. Langouche, A. Aralar, M. B. Sinha, S. M. Lawrence, S. I. Fraley, and T. P. Coleman, “Data-driven noise modeling of digital DNA melting analysis enables prediction of sequence discriminating power”, Bioinformatics, In Press.

Journal Articles in Press

2021

J. F. Kurniawan, B. Tjhia, V. M. Wu, A. Shin, N. L. J. Sit, T. Pham, A. Nguyen, C. Li, R. Kumar, M. Aguilar-Rivera, I. Lerman, D. C. Kunkel, T. P. Coleman, “An Adhesive-Integrated Stretchable Ag/AgCl Electrode Array for Unobtrusive Monitoring of Gastric Neuromuscular Activity”, Advanced Materials Technologies, April 2021 [pdf]

P. Kyriakakis, L. Fernandez de Cossio, P. W. Howard, S. Kouv, M. Catanho, V. J. Hu, R. Kyriakakis, M. E. Allen, Y. Ma, M. Aguilar-Rivera, T. P. Coleman, “Building a Simple and Versatile Illumination System for Optogenetic Experiments”, Journal of Visualized Experiments, January 2021 [pdf]

2020

M. Aguilar-Rivera, S. Kim, T. P. Coleman, P. E. Maldonado, and F. Torrealba, “Interoceptive insular cortex participates in sensory processing of gastrointestinal malaise and associated behaviors”, Scientific Reports, December 2020 [pdf]

G. Schamberg, W. Chapman, S. P. Xie, and T. P. Coleman, “Direct and Indirect Effects – An Information Theoretic Perspective”, Entropy, July 2020 [pdf]

M. Aguilar-Rivera, D. T. Erudaitius, V. M. Wu, J. C. Tantiongloc, D. Y. Kang, T. P. Coleman, S. L. Baxter, R. N. Weinreb, “Smart Electronic Eyedrop Bottle for Unobtrusive Monitoring` of Glaucoma Medication Adherence”, Sensors, May 2020. [pdf]

G. Schamberg and T.P. Coleman, “Measuring Sample Path Causal Influences with Relative Entropy”, IEEE Transactions on Information Theory, May 2020. [pdf]

A. S. Agrusa, A. A. Gharibans, A. A. Allegra, D. C. Kunkel, and T. P. Coleman. “A Deep Convolutional Neural Network Approach to Classify Normal and Abnormal Gastric Slow Wave Initiation from the High Resolution Electrogastrogram”, IEEE Transactions on Biomedical Engineering, March 2020. [pdf]

2019

A. A. Gharibans, T. P. Coleman, H. M. Mousa, and D. C. Kunkel, “Spatial Patterns From High-Resolution Electrogastrography Correlate With Severity of Symptoms in Patients With Functional Dyspepsia and Gastroparesis”, Clinical Gastroenterology and Hepatology, December 2019 (Volume 17, Issue 13).

A. A. Allegra, A. A. Gharibans, G. E. Schamberg, D. C. Kunkel, and T. P. Coleman. “Bayesian Inverse Methods for Spatiotemporal Characterization of Gastric Electrical Activity from Cutaneous Multi-electrode Recordings”, PloS One, October 2019 (Volume 14 issue 10) [pdf].

D. J. Bracken, G. Ornelas, T. P. Coleman, and P. A. Weissbrod. “High-Density Laryngeal Surface Electromyography: A Visualization Method of Laryngeal Muscle Activity”, The Laryngoscope, October 2019. [pdf]

D. A. Mesa, J. Tantiongloc, M. Mendoza, S. Kim, and T. P. Coleman, “A Distributed Framework for the Construction of Transport Maps”, Neural Computation, April 2019 (Volume 31, Issue 4).   [pdf]

T. N. Johnson, T. P. Coleman, and L. Rangel, “A Flexible Likelihood Approach for Predicting Neural Spiking Activity from Oscillatory Phase”, Journal of Neuroscience Methods, January 2019. [pdf]

2018

J. P. Casanova, M. Aguilar-Rivera, M. de los Ángeles Rodríguez, T. P. Coleman, and
F. Torrealba,  “The activity of discrete sets of neurons in the posterior insula correlates
with the behavioral expression and extinction of conditioned fear”, Journal of Neurophysiology, August 2018.

G. Schamberg, D. Ba, and T. P. Coleman, “A Modularized Efficient Framework for Non-Markov Time Series Estimation”, IEEE Transactions on Signal Processing, Volume 66, Issue 12, June 2018. [pdf] [code]

S. Huang, J. A. N. Fisher, M. Ye, Y.S. Kim, R. Ma, M. Nabili, V. Krauthamer, M. R. Myers, T. P. Coleman, and C. G. Welle, “Epidermal electrode technology for detecting ultrasonic perturbation of sensory brain activity”, IEEE Transactions on Biomedical Engineering, Volume 65, Issue 6, June 2018. [pdf]

D. Kang, P. N. DeYoung, A. Malhotra, R. L. Owens, and T. P. Coleman, “A State Space and Density Estimation Framework for Sleep Staging in Obstructive Sleep Apnea”, IEEE Transactions on Biomedical Engineering, June 2018. [pdf]

Onton, J. A., Mathews, S. C., Kang, D. Y., & Coleman, T. P.“In-Home Sleep Recordings in Military Veterans with Posttraumatic Stress Disorder Reveal Less REM and Deep Sleep <1 Hz”, Frontiers in Human Neuroscience, April 2018. [pdf]

M. B. Sinha, H. Mack, T. P. Coleman,  and S. I. Fraley, “A High-Resolution Digital DNA Melting Platform for Robust Sequence Profiling and Enhanced Genotype Discrimination”,  SLAS Technology, April 2018. [pdf]

A. A. Gharibans, B. L. Smarr, D. C. Kunkel, L. J. Kriegsfeld, H. M. Mousa, and T. P. Coleman, “Artifact Rejection Methodology Enables Continuous, Noninvasive Measurement of Gastric Myoelectric Activity in Ambulatory Subjects”, Scientific Reports, March 2018. [pdf]  [news release]

M. B. Sinha, J. Jupe, H. Mack, T. P. Coleman, S. Lawrence, and S.I. Fraley, “Emerging Technologies for Molecular Diagnosis of Sepsis”, Clinical Microbiology Reviews, volume 31, number 2, April 2018.

P. Kyriakakis, M. Catanho, N. Hoffner, W. Thavarajah, V. J. Yu, S. Chao, A. Hsu, V. Pham, L. Naghavian, L. Dozier, G. Patrick, and T. P. Coleman, “Biosynthesis of Orthogonal Molecules Using Ferredoxin and Ferredoxin-NADP+ Reductase Systems Enables Genetically Encoded PhyB Optogenetics”, ACS Synthetic Biology, Jan 2018. [pdf] [news release]

2017

Y. S. Kim, J. Lu, B. Shih, A. Gharibans, Z. Zou, K. Matsuno, R. Aguilera, J. Xiao, A. Meek, M. Tolley, & T. P. Coleman, “Scalable Manufacturing of Solderable and Stretchable Physiologic Sensing Systems”, Advanced Materials, August 2017. [pdf]

A. Gharibans, S. Kim, D. Kunkel, and T. P. Coleman, “High-Resolution Electrogastrogram: A Novel, Noninvasive Method for Determining Gastric Slow-Wave Direction and Speed”, IEEE Transactions on Biomedical Engineering, April 2017. [pdf]

J. Tantiongloc, D. A. Mesa, R. Ma., S. Kim, C. A. Gil, J. C. Rosa, V. Manian, and T. P. Coleman, “An Information and Control Framework for Optimizing User-Compliant Human Computer Interfaces”, Proceedings of the IEEE, Feb 2017. [pdf]

D. A. Mesa, J. A. Kable, C. D. Coles, K. L. Jones, L. Yevtushok, Y. Kulikovsky, W. Wertelecki, T. P. Coleman, and C. D. Chambers, “The Use of Cardiac Orienting Responses as an Early and Scalable Biomarker of Alcohol-related Neurodevelopment Impairment”, Alcoholism: Clinical and Experimental Research, January 2017 [pdf].

2016

J. A. Onton, D. Kang, and T.P. Coleman, “Visualization of Whole-Night Sleep EEG From 2-Channel Mobile Recording Device Reveals Distinct Deep Sleep Stages with Differential Electrodermal Activity”. Frontiers in Human Neuroscience, December 2016.

J. Etesami, N. Kiyavash, and T. P. Coleman, “Learning Minimal Latent Directed Information Polytrees”, Neural Computation, August 2016. [pdf]

2015

C. Quinn, N. Kiyavash, and T. P. Coleman, “Directed Information Graphs”, IEEE Transactions on Information Theory, December 2015.

D. Kang, Y. S. Kim, G. Ornelas, M. Sinha, K. Naidu, and T. P. Coleman, “Scalable Microfabrication Procedures for Adhesive-Integrated Flexible Electronic Sensors”, Sensors, September 2015.

K. Takahashi*, S. Kim*, T. P. Coleman, K. A. Brown, A. Suminski, M. Best, and N. G. Hatsopoulos, “Large-scale spatiotemporal spike patterning consistent with wave propagation in motor cortex,” Nature Communications, May 2015 (*: These authors contributed equally to this work).

A. Kulkarni and T. P. Coleman, “An Optimizer’s Approach to Stochastic Control Problems with Nonclassical Information Structures”, IEEE Transactions on Automatic Control, April 2015.

2014

C. Park, M. Plank, J. Snider, S. Kim, H. C. Huang, S. Gepshtein, T. P. Coleman, and H. Poizner, “EEG Gamma Band Oscillations Differentiate the Planning of Spatially Directed Movements of the Arm Versus Eye: Multivariate Empirical Mode Decomposition Analysis”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, September 2014.

S. Kim, C. Quinn, N. Kiyavash, and T. P. Coleman,Dynamic and Succinct Statistical Analysis of Neuroscience Data, invited paper, Proceedings of the IEEE, April 2014. [pdf]

J. A. Fan, W. Yeo, Y. Su, Y. Hattori, W. Lee, S. Jung, Y. Zhang, Z. Liu, H. Cheng, L. Falgout, M. Bajema, T. Coleman, D. Gregoire, R. J. Larsen, Y. Huang, and J. A. Rogers, Fractal design concepts for stretchable electronics, Nature Communications, February 2014.

2013

B. He, T. Coleman, G. M. Genin, G. Glover, X. Hu, N. Johnson, T. Liu, S. Makeig, P. Sajda, K. Ye, Grand Challenges in Mapping the Human Brain: NSF Workshop Report, IEEE Transactions on Biomedical Engineering, October 2013.

C. Quinn, N. Kiyavash, and T. P. Coleman “Efficient Methods to Compute Optimal Tree Approximations of Directed Information Graphs”, IEEE Transactions on Signal Processing, June 2013.

B. Nakiboglu, S. K. Gorantla, L. Zheng, and T.P. Coleman, “Bit-wise unequal error protection for variable-length block codes with feedback”, IEEE Transactions on Information Theory, March 2013.

N. Kiyavash, F. Koushanfar, T. P. Coleman, and M. Rodrigues, A Timing Channel Spyware for the CSMA/CA Protocol, IEEE Transactions on Information Forensics, March 2013.

2012

T. A. Wang, Y. V. Yu, G. Govindaiah, X. Ye, L. Artinian, T. P. Coleman, J. V. Sweedler, C. L. Cox, M. U. Gillette, Circadian Rhythm of Redox State Regulates Excitability in Suprachiasmatic Nucleus Neurons, Science, Aug 2012 (Science Perspectives Commentary Circadian Time Redoxed).

S. K. Gorantla, S. Kadloor, T. P. Coleman, N. Kiyavash, I. S. Moskowitz, M. H. Kang, “Characterizing the Efficacy of the NRL Network Pump in Mitigating Covert Timing Channels”, IEEE Transactions on Information Forensics and Security , February 2012.

R. Ma, N. Aghasadeghi, J. A. Jarzebowski, T. W. Bretl, and T. P. Coleman, “A Stochastic Control Approach to Optimally Designing Variable-Sized Menus in P300 Communication Prostheses”, IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE) , January 2012.

2011

S. Sadasivam, P. Moulin, and T. P. Coleman, “A Message-Passing Approach to Combating Desynchronization Attacks”, IEEE Transactions on Information Forensics and Security, September 2011.

D. Kim,* N. Lu,* R. Ma,* Y. Kim, R. Kim, S. Wang, J. Wu, S. M. Won, H. Tao, A. Islam, K. J. Yu, T. Kim, R. Chowdhury, M. Ying, L. Xu, M. Li, H. Chung, H. Keum, M. McCormick, P. Liu, Y. Zhang, F. G. Omenetto, Y. Huang, T. Coleman, J. A. Rogers, Epidermal Electronics, Science, August 12, 2011 (*: These authors contributed equally to this work) (Science Perspectives Commentary An Electronic Second Skin).

C. Quinn, T. P. Coleman, N. Kiyavash, and N. G. Hatsopoulos, “Estimating the directed information to infer causal relationships in ensemble neural spike train recordings”, Journal of Computational Neuroscience, January 2011.

C. Omar, A. Akce, M. Johnson, T. Bretl, R. Ma, E. Maclin, M. McCormick, and T. P. Coleman, “A Feedback Information-Theoretic Approach to the Design of Brain-Computer Interfaces”, International Journal on Human-Computer Interaction , special issue on “Current Trends in Brain-Computer Interface (BCI) Research and Development”, Volume 27, Issue 1, pages 5 – 23, January 2011.

T. P. Coleman, M. Yanike, W. Suzuku, and E. N. Brown, “A mixed-filter algorithm for dynamically tracking learning from multiple behavioral and neurophysiological measures”, in The Dynamic Brain: An Exploration of Neuronal Variability and Its Functional Significance, Editors: Mingzhou Ding and Dennis Glanzman, Oxford University Press, January 2011.

2010

T. P. Coleman and S. Sarma, “A Computationally Efficient Method for Nonparametric Modeling of Neural Spiking Activity with Point Processes”, Neural Computation, Volume 22, Issue 8, August 2010.

O. Milenkovic, G. Alterovitz, G. Battail, T. P. Coleman, J. Hagenauer, S. Meyn, N. Price, M. Ramoni,I. Shmulevich, and W. Szpankowski, “Introduction to the special issue on information theory in molecular biology and neuroscience”, IEEE Transactions on Information Theory, Volume 22, Issue 8, August 2010.

2009

T. P. Coleman, E. Martinian, E. Ordentlich, “Joint Source-Channel Decoding for Transmitting Correlated Sources over Broadcast Networks”, IEEE Transactions on Information Theory , Aug 2009.

A. Trevino, T. P. Coleman, and J. Allen, “A Dynamical Point Process Model for Auditory Nerve Spiking in Response to Complex Sounds”, Journal of Computational Neuroscience, April 2009.

A. Fernandes, M. Raginsky, and T. P. Coleman, “A Low-Complexity Universal Scheme for Rate-Constrained Distributed Regression Using a Wireless Sensor Network”, IEEE Transactions on Signal Processing,vol. 57, no. 5, 1731-1744, May 2009.

2006

T. P. Coleman, A. H. Lee, M. Medard, M. Effros, “Low-Complexity Approaches to Slepian-Wolf Near-Lossless Distributed Data Compression”, IEEE Transactions on Information Theory, vol. 52, No. 8, pp. 3546-3561,August 2006.

T. P. Coleman and M. Medard, “A Distributed Scheme for Achieving Energy-Delay Tradeoffs with Multiple Service Classes over a Dynamically Varying Network”,IEEE Journal on Selected Areas in Communications: Advanced Mobility Management and QoS Protocols for Wireless Internet, vol. 22, No. 5, pp. 929-941, June 2004.

M. Medard, J. Huang, A. J. Goldsmith, S. P. Meyn, and T. Coleman, “Capacity of Time-Slotted ALOHA Packetized Mutiple-Access Systems Over the AWGN Channel”, IEEE Transactions on Wireless Communications, vol. 3, No. 2, pp.486-499, March 2004.


Selected Peer-Reviewed Conference Proceedings in Press

2020

A. Agrusa, A. Allegra, D. Kunkel, and T. P. Coleman, “Robust Methods to Detect Spatial Abnormalities of the Gastric Slow Wave from Cutaneous Recordings”, International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2020.

A. Xu and T. P. Coleman, “Minimax lower bounds for circular source localization”, IEEE International Symposium on Information Theory (ISIT), 2020.

2019

G. Schamberg and T.P. Coleman, “On the Bias of Directed Information Estimators”, to appear, IEEE International Symposium on Information Theory (ISIT), July 2019. Arxiv pre-print: [pdf]

2018

G. Schamberg and T.P. Coleman, “Quantifying Context-Dependent Causal Influences”, NIPS Workshop on Causal Learning, December 2018.

G. Schamberg and T. P. Coleman, “A Sample Path Measure of Causal Influence”, IEEE International Symposium on Information Theory (ISIT), June 2018.

2016

G. Schamberg, M. Wagner, D. Ba, and T. P. Coleman, “Efficient Low-Rank Spectrotemporal Decomposition using ADMM”, Statistical Signal Processing Workshop, June 2016.

A. H. Omar, Y.S. Kim, P. Glick, M. Tolley, W. Thompson, and T. P. Coleman, “Stretchable and Flexible Adhesive-Integrated Antennas for Biomedical Applications”, IEEE International Symposium on Antennas and Propagation, June 2016.

A. Haj-Omar, W. Thompson, Y.S. Kim, and T. P. Coleman, “Adaptive Flexible Antennas for Wireless Biomedical Applications”, IEEE Wireless and Microwave Technology Conference, April 2016.

2015

M. Mendoza, S. Kim, and T. P. Coleman, “Bayesian LASSO in a Distributed Architecture”, IEEE Global Conference on Signal and Image Processing, December 2015.

D. A. Mesa, S. Kim, T. P. Coleman, “A Scalable Framework to Transform Samples from One Continuous Distribution to Another”, IEEE International Symposium on Information Theory (ISIT), June 2015.

S. Kim, D. A. Mesa, T. P. Coleman, “Efficient Total Probability Prediction Via Convex Optimization and Optimal Transport”, IEEE International Symposium on Information Theory (ISIT), June 2015.

2014

D. A. Mesa*, M. Mendoza*, A. Sanchez, J. Tantiongloc, T. P. Coleman, Modeling Decision Search Processes via Inverse Optimal Planning,  NIPS special workshop on human-propelled machine learning, December 2014.

R. Ma and T. P. Coleman, Necessary and Sufficient Conditions for Reliability of Posterior Matching in Arbitrary Dimensions, to appear, IEEE International Symposium on Information Theory (ISIT), July 2014.

2013

Harbert MJ, Rosenberg SS, Mesa D, Sinha M, Karanjia NP, Coleman TP, Demonstration of the Use of Epidermal Electronics in Neurological Monitoring, Proceedings of the American Neurological Association Annual Meeting, Oct 2013.

S. Kim, R. Ma, D. Mesa, and T. P. Coleman, “Efficient Bayesian Inference Methods via Convex Optimization and Optimal Transport”, IEEE International Symposium on Information Theory, July 2013.

C. Quinn, J. Etesami, N. Kiyavash, and T. P. Coleman “Robust Directed Tree Approximations for Networks of Stochastic Processes”,  IEEE International Symposium on Information Theory, July 2013.

2012

A. Kulkarni and T. P. Coleman, An Optimizers Approach to Stochastic Control Problems with Non-classical Information Structure, IEEE International Conference on Decision and Control (CDC), December 2012.

J. Etesami, N. Kiyavash, and T. P. Coleman, “Learning Minimal Latent Directed Information Trees”,IEEE International Symposium on Information Theory (ISIT), July 2012.

2011

C. Quinn, N. Kiyavash, and T. P. Coleman, “A Minimal Approach to Causal Inference on Topologies with Bounded Indegree”, IEEE Conference on Decision and Control , December 2011.

T. Riedl, T. P. Coleman, and A. C. Singer, “Finite Block-Length Achievable Rates for Queuing Timing Channels”, IEEE Information Theory Workshop (ITW) , October 2011.

R. Ma, and T. P. Coleman, “Generalizing the Posterior Matching Scheme to Higher Dimensions via Optimal Transportation”,  Allerton Conference on Communication, Control, and Computing, September 2011.

S. Kim, K. Takahashi, N. Hatsopoulos, and T. P. Coleman, “Information Transfer Between Neurons in the Motor Cortex Triggered by Visual Cues”, IEEE Engineering in Medicine and Biology Society Annual Conference , September 2011.

C. Quinn, N. Kiyavash, and T. P. Coleman, “Equivalence Between Minimal Generative Model Graphs and Directed Information Graphs”, IEEE International Symposium on Information Theory , August 2011.

S. K. Gorantla, and T. P. Coleman, “Equivalence Between Reliable Feedback Communication and Nonlinear Filter Stability”,  IEEE International Symposium on Information Theory , August 2011.

C. Li, T. Chen, and T. P. Coleman, “A Memoryless Channel Coding Methodology for Infinite-Memory Queuing Timing Channels”, IEEE International Symposium on Information Theory , August 2011.

S. Kim and T. P. Coleman, “Team Decision Theory and Brain-Machine Interfaces”, invited paper, IEEE Conference on Neural Engineering, May 2011.

C. Quinn, T. P. Coleman, and N. Kiyavash, “A Generalized Prediction Framework for Granger Causality”, invited paper International Workshop on Network Science for Communication Networks (NetSciCom), April 2011.

2010

S. K. Gorantla and T. P. Coleman, “A Stochastic Control Approach to Coding with Feedback over Degraded Broadcast Channels”, IEEE Conference on Decision and Control (CDC), December 2010.

H. Ebeid, S. Gorantla, and T. P. Coleman, “A Necessary Condition for Reliable Communication With Feedback Based Upon Lyapunov Exponents of Dynamical Systems”, Military Communications Conference (MILCOM), invited paper, November 2010.

C. Quinn, T. P. Coleman, and N. Kiyavash, “Approximating Discrete Probability Distributions with Causal Dependence Trees”, IEEE International Symposium on Information Theory and Applications (ISITA) , October 2010.

S. K. Gorantla, S. Kadloor, T. P. Coleman, N. Kiyavash, I. S. Moskowitz, and M. H. Kang, “Directed Information and the NRL Network Pump”, IEEE International Symposium on Information Theory and Applications (ISITA) , October 2010.

R. Ma, D. Kim, M. McCormick, T. P. Coleman, and J. Rogers, “A Stretchable Electrode Array for Non-invasive, Skin-Mounted Measurement of Electrocardiography (ECG), Electromyography (EMG) and Electroencephalography (EEG)”, IEEE International Conference of the Engineering in Medicine and Biology Society , September 2010.

N. Arizumi, T. P. Coleman, and R. L. Deville, “Evolution of complex neuronal network structures in the presence of plasticity”, Computational Neuroscience Annual Meeting (CNS) , San Antonio, TX, July 2010.

S. K. Gorantla and T. P. Coleman, “On Reversible Markov Chains and Maximization of Directed Information”, IEEE International Symposium on Information Theory (ISIT) , June 2010. [PDF]

T. P. Coleman and M. Raginsky, “Mutual Information Saddle Points in Channels of Exponential Family Type”, IEEE International Symposium on Information Theory (ISIT) , June 2010.

H. Ebeid and T. P. Coleman, “Source Coding with Feedforward Using the Posterior Matching Scheme”, IEEE International Symposium on Information Theory (ISIT) , June 2010.

S. K. Gorantla, B. Nakiboglu, T. P. Coleman, and L. Zheng, “Bit-wise Unequal Error Protection for Variable Length Blockcodes with Feedback”, IEEE International Symposium on Information Theory (ISIT) , June 2010.

M. S. McCormick, R. Ma, and T. P. Coleman, “An Analytic Spatial Filter and Hidden Markov Model for Enhanced Information Transfer Rate in EEG-Based Brain Computer Interfaces”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March 14-19, 2010, Dallas, TX.

2009

R. Ma, T. P. Coleman, and J. Malpeli, “The Parabigeminal Nucleus as a Recursive Estimator”, IEEE Conference on Decision and Control (CDC), Shanghai, China, December 2009.

M. Raginsky and T. P. Coleman, “Mutual Information and Posterior Estimates in Channels of Exponential Family Type, “ IEEE Information Theory Workshop, Taormina, Italy, October 2009.

T. P. Coleman, “A Stochastic Control Viewpoint on `Posterior Matching-Style’ Communication Schemes”, IEEE International Symposium on Information Theory (ISIT), Seoul, Korea, June 2009.

T. P. Coleman, “A Simple Memoryless Proof of the Capacity of the Exponential Server Timing Channel “ IEEE Information Theory Workshop, Volos, Greece, June 2009.

2008

J. Jarzebowski, L. Srinivasan, and T. P. Coleman, “Using Stochastic Control with Data Compression Perspectives to Enhance P300 Neural Communication Prostheses “, Invited Paper, IEEE Information Theory Workshop (ITW), Porto, Portugal, May 5-9, 2008.

T. P. Coleman and N. Kiyavash, “Practical Codes for Queuing Channels: An Algebraic, State-Space, Message-Passing Approach”, IEEE Information Theory Workshop (ITW), Porto, Portugal, May 5-9, 2008.

C. Omar, M. Johnson, T. W. Bretl, and T. P. Coleman, “Querying the user properly for high-performance brain-machine interfaces: recursive estimation, control, and feedback information-theoretic perspectives,” Invited Session on “Revamping Signal Processing for Neuroscience: Challenges in Brain Machine Interface Technology”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Las Vegas, NV, March 30-April 4, 2008.

2005

T. P. Coleman, M. Effros, E. Martinian, M. Medard, “Rate-splitting for the Deterministic Broadcast Channel”, in proceedings, IEEE International Symposium on Information Theory (ISIT), Adelaide, Australia, Sep 4-9, 2005.

T. P. Coleman, E. Martinian, M. Effros, M. Medard, “Interference Management via Capacity-Achieving Codes for the Deterministic Broadcast Channel”, in proceedings, IEEE Information Theory Workshop (ITW), Rotorua, New Zealand, August 29 – Sep 1, 2005.