Publications
Books
[1] D. Erdogmus, M. Cetin, and M. Akcakaya. Noninvasive Brain Interface Design: Stochastic EEG Models for Bayesian Intent Inference. Cambridge University Press (Authored Textbook in preparation – Expected Delivery Date August 2020).
Book Chapters
[1] M. Akcakaya, C. Muravchik, and A. Nehorai, “Biologically inspired antenna array design using Ormia modeling,” to appear in Biomimetic Technologies: Volume 1 - Materials and Sensors, (Ch. 16, pp. 335-364, T. D. Ngo Ed.) Woodhead Publishing, Cambridge, UK
[2] M. Higger, M. Akcakaya, U. Orhan, D. Erdogmus, “Sensor Failure Robust Fusion,” in Multisensor Data Fusion: From Algorithms and Architectural Designs to Applications (Ch. 10, pp. 157-168, H. Fourati Ed.) CRC Press.
[3] Mohammad Moghadamfalahi, Murat Akcakaya, D. Erdogmus, “ Active Recursive Bayesian State Estimation for Biological Big Data” in Biomedical Signal Processing and Machine Learning for Big Data (Ch. 6, pp. 115-132, E.Sejdic and T.H. Falk Ed.) CRC Press.
[4] Marghi, Y. M., Gonzalez-Navarro, P., Quivira, F., McLean, J., Girvent, B., Moghadamfalahi, M., Akcakaya, M., Erdogmus, D. “Signal Models for Brain Interfaces based on Evoked Response Potential in EEG”. IET, 2018. (accepted)
Journal Papers
[41] S. Eldeeb, M. Akcakaya, M. Sybeldon, S. Foldes, E. Santarnecchi, A. Pascal-Leone, and A. Sethi "EEG-based functional connectivity to analyze motor recovery after stroke,” Elsevier Journal of Biomedical Signal Processing and Control (accepted for publication).
[40] A. Khalaf, E. Sejdic and M. Akcakaya, "A Novel Motor Imagery Hybrid Brain Computer Interface Using EEG and Functional Transcranial Doppler Ultrasound,” Journal of Neuroscience Methods (accepted for publication).
[39] A. Khalaf, E. Sejdic and M. Akcakaya, “Towards Optimal Visual Presentation Design for Hybrid EEG-fTCD brain-computer interfaces,” Journal of Neural Engineering, No.5, Vol. 15, Aug. 2018.
[38] E. Dagois, A. Khalaf, E. Sejdic, and M. Akcakaya, “ Transfer Learning for a multimodal hybrid EEG-fTCD brain-computer interface,” IEEE Sensor Letters, IEEE Sensor Letters, (Early Access) (DOI: 10.1109/LSENS.2018.2879466).
[37] A. Kocanaogullari, Y. M. Marghi, M. Akcakaya, and D. Erdogmus, “ Optimal Query Selection Using Multi-Armed Bandits,” IEEE Signal Processing Letters, No.12, Vol. 25, December 2018, (DOI: 10.1109/LSP.2018.2878066).
[36] Y. Xiang, M. Akcakaya, S. Sen, D. Erdogmus and A. Nehorai, “Target tracking via recursive Bayesian state estimation in cognitive radar networks,” Elsevier Signal Processing, Vol. 155, pp. 157-169, February 2019 https://doi.org/10.1016/j.sigpro.2018.09.035 .
[35] A. Khalaf, J. Kersey, S. Eldeeb, G. Alankus, L. Waterstram, E. Skidmore and M. Akcakaya, “EEG-based Neglect Assessment: A Feasibiltiy Study,” Journal of Neuroscience Methods (accepted for publication)
[34] A. Kocaanaogullari, M. Akcakaya, and D. Erdogmus, “ On Analysis of Active Querying for Recursive State Estimation,” IEEE Signal Processing Letters (accepted for publication)
[33] M. A. Rothfus, N. G. Franconi, A. Star, M. Akcakaya, M.L. Gimbel, E. Sejdic, “ Automatic Early-Onset Free Flap Failure Detection for Implantable Biomedical Devices,” IEEE Transactions on Biomedical Engineering (accepted for publication).
[32] M. Haghighi, M. Moghadamfalahi, M. Akcakaya, and D. Erdogmus, “EEG-assisted Modulation of Sound Sources in the Auditory Scene,” Elsevier Biomedical Signal Processing and Control, Vol. 39, pp. 263-270, Jan. 2018 (doi.org/10.1016/j.bspc.2017.08.008).
[31] A. Khalaf, M. Sybeldon, E. Sejdic, and M. Akcakaya, “ A Brain Computer Interface Basned on Functional Transcranial Doppler Ultrasound Using Wavelet Transform and Support Vector Machines,” Journal of Neuroscience Methods, Vol 293, pp. 174-182, Jan. 2018 (doi.org/10.1016/j.jneumeth.2017.10.003).
[30] I. R. Kleckner, R. M. Jones, O. Wilder-Smith, J.B. Wormwood, M. Akcakaya, K. S. Quigley, C. Lord, and M. S. Goodwin, “ Simple, Transparent, and Flexible Automated Quality Assessment Procedures for Ambulatory Electrodermal Activity Data,” IEEE Transactions on Biomedical Engineering (doi: 10.1109/TBME.2017.2758643).
[29] J. Sourati, M. Akcakaya, T.K. Leen, J. G. Dy, and D. Erdogmus, “ Asymptotic Analysis of Objectives based on Fisher Information in Active Learning,” Journal of Machine Learning Research, Vol 18, No. 34, pp. 1-41, Jan. 2017.
[28] A. P. Reiman, T. E. McDermott, M. Akcakaya, and G.F. Reed, “ Electric Power Distribution System Model Simplification Using Segment Substitution,” IEEE Transactions on Power Systems (DOI: 10.1109/TPWRS.2017.2753100).
[27] E. Onuk, J. Badger, Y.J. Wang, J. Bardhan, Y. Chishti, M. Akcakaya, D.H. Brooks, D. Erdogmus, D.D.L. Minh, L. Makowski, “ Effects of Catalytic Action and Ligand Binding on Conformational Ensembles of Adenylate Kinase,” Biochemistry, vol. 56, no.34, pp. 4559-4567, Aug. 2017 (DOI: 10.1021/acs.biochem.7b00351)
[26] J. Sourati, M. Akcakaya, T. Leen, D. Erdogmus, and J. Dy, “A Probabilistic Active Learning Algorithm based on Fisher Information Ratio,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) DOI: 10.1109/TPAMI.2017.2743707
[25] M. Moghadamfalahi, M. Akcakaya, H. Nezamfar, J. Sourati, and D. Erdogmus, “ An Active RBSE framework to Generate Optimal Stimulus Sequence in a BCI for Spelling,” IEEE Transactions on Signal Processing, Vol. 65, No. 20, pp. 5381-5392, Oct. 2017. (DOI: 10.1109/TSP.2017.2728500)
[24] M. Kelsey, M. Akcakaya, I. R. Kleckner, R. V. Palumbo, L. F. Barrett, K. S. Quigley and M. S. Goodwin, "Applications of Sparse Recovery and Dictionary Learning to Enhance Analysis of Electrodermal Activity Data," Elsevier Biomedical Signal Processing and Control, Vol. 40, pp. 58-70, Feb. 2018. (doi.org/10.1016/j.bspc.2017.08.024)
[23] M. Haghighi, M. Moghadamfalahi, M. Akcakaya, B. G. Shinn Cunningham, and D. Erdogmus, “ A Graphical Model for Online Auditory Scene Modulation Using EEG Evidence for Attention,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 25, No. 11, pp.1970-1977, June 2017 (DOI: 10.1109/TNSRE.2017.2712419).
[22] M. Sybeldon, L. Schmit, M. Akcakaya, “ Transfer Learning for SSVEP Electroencephalography Based Brain-Computer Interfaces Using Learn++.NSE and Mutual Information,” Entropy, Vol. 19, No.1, 2017 (doi:10.3390/e19010041)
[21] U. Orhan, H. Nezamfar, M. Akcakaya, M. Higger, D. Erdogmus, M. Moghadamfalahi, A. Fowler, B. Roark, B. Oken, M. Fried-Oken, “Probabilistic Simulation Framework for EEG-Based BCI” BCI Journal, Vol. 3 , Iss. 4, 2016 (DOI: Http://Dx.doi.org/10.1080/2326263X.2016.1252621 )
[20] P. Gonzalez-Navarro, M. Moghadamfalahi, M. Akcakaya, and D. Erdogmus, “ Spatio-temporal EEG Models for Brain Interfaces,” Signal Processing, Vol. 131, pp. 333-343, February 2017.
[19] M. Higger, F. Quivira, M. Akcakaya, M. Moghadamfalahi, H. Nezamfar, M. Cetin, and D. Erdogmus, “ Recursive Bayesian Coding for BCIs,” IEEE Trans. Neural Systems and Rehabilitation Engineering, 2016 (DOI: 10.1109/TNSRE.2016.2590959)
[18] Q. Chen, F. C. Meral, S. Muftu, K. Tuncali, M. Akcakaya, “ Model-based Optimal Planning of Hepatic Radiofrequency Ablation,” Mathematical Medicine and Biology, July 2016 (doi: 10.1093/imammb/dqw011)
[17] M. Akcakaya, S. Sen, and A. Nehorai, “A Novel Data-Driven Learning Method for Radar Target Detection in Nonstationary Environments,” IEEE Signal Processing Letters, Vol 23, No.5, May 2016 (doi: 10.1109/LSP.2016.2553042)
[16] A.E. Onuk, M. Akcakaya, J. Bardhan, D. Erdogmus, D.H. Brooks, and L. Makowski, “Dirichlet Priors for MAP inference of Protein Conformation Abundances from SAXS” Journal of Signal Processing Systems, 2016 (doi: 10.1007/s11265-016-1141-6),
[15] J. Sourati, M. Akcakaya, J.G. Dy, T.K. Leen, D. Erdogmus, “ Classification Active Learning Based on Mutual Information,” Entropy, Vol. 18, No. 2, 2016 (doi:10.3390/e18020051).
[14] A.E. Onuk, M. Akcakaya, J. Bardhan, D. Erdogmus, D.H. Brooks, and L. Makowski, “Constrained Maximum Likelihood Estimation of Relative Abundances of Protein Conformation in a Heterogeneous Mixture from Small Angle X-Ray Scattering Intensity Measurements,” IEEE Trans. Signal Proc. Vol. 63, No. 20, pp. 5383-5394, 2015. DOI: 10.1109/TSP.2015.2455515
[13] M. Moghadamfalahi, U. Orhan, M. Akcakaya, H. Nezamfar, M. Fried-Oken, D. Erdogmus, “Language-Model Assisted Brain Computer Interface for Typing: A Comparison of Matrix and Rapid Serial Visual Presentation,” IEEE Trans. Neural Systems and Rehabilitation Engineering, Vol. 23, No. 5, pp. 910-920, 2015. DOI: 10.1109/TNSRE.2015.2411574 .
[12] A. Ahani, K. Wiegand, U. Orhan, M. Akcakaya, M. Moghadamfalahi, H. Nezamfar, R. Patel, and D. Erdogmus, “ RSVP IconMessenger: Icon-based Brain-interfaced Alternative and Augmentative Communication,” BCI Brain-Computer Interfaces, 10/2014; DOI: 10.1080 /2326263X.2014.99606
[11 ] M. Higger, M. Akcakaya, H. Nezamfar, G. LaMountain, U. Orhan, D. Erdogmus, “ A Bayesian Framework for Intent Detection and Stimulation Selection in SSVEP BCIs,” IEEE Signal Processing Letters, vol 22, no. 6, pp. 743-747, June 2015.
[10] E. Ataer-Cansizoglu, M. Akcakaya, and D. Erdogmus, “Minor surfaces are Boundaries of Mode-Based Clusters,” IEEE Signal Processing Letters, vol. 22, no. 7, pp 891- 895, July 2015
[9] M. Akcakaya, B. Petters, M. Moghadamfalahi, A. Mooney, U. Orhan, B. Oken, D. Erdogmus, M. Fried-Oken, “Noninvasive Brain Computer Interfaces for Augmentative and Alternative Communication,” IEEE Reviews in Biomedical Engineering, DOI 10.1109/RBME.2013.2295097
[8] M. Akcakaya, E. Ataer-Cansizoglu, Umut Orhan and D. Erdogmus, “Manifold learning by preserving distance orders,” Pattern Recognition Letters, vol.38, pp. 120-131, March 2014 (First two authors contributed equally).
[7] M. Higger, M. Akcakaya, and D. Erdogmus, “A robust fusion algorithm for sensor failure,” IEEE Signal Processing Letters, vol. 20, no.8, pp. 755-758, Aug. 2013.
[6] M. Akcakaya, C.H. Muravchik and A. Nehorai, "Biologically inspired coupled antenna array for direction of arrival estimation," IEEE Trans. on Signal Processing, vol. 59, no.10, pp. 4795-4808.
[5] M. Akcakaya and A. Nehorai, "MIMO radar sensitivity analysis for target detection," IEEE Trans. on Signal Processing., vol. 59, no. 7, pp. 3241-3250, Jul. 2011.
[4] M. Akcakaya and A. Nehorai, "Adaptive MIMO radar design and detection in compound-Gaussian clutter," IEEE Trans. on Aerospace and Electronic Systems., vol. 47, no. 3, pp. 2200-2207, Jul. 2011.
[3] M. Akcakaya and A. Nehorai, "Biologically inspired coupled antenna beampattern design," Bioinspiration and Biomimetics , vol.5, no.4, p. 046003, 2010.
[2] M. Akcakaya and A. Nehorai,"MIMO radar detection and adaptive design under a phase synchronization mismatch," IEEE Trans. Signal Process., vol.58, no.10, pp.4994-5005, Oct. 2010.
[1] M. Akcakaya and A. Nehorai, "Performance analysis of the Ormia ochracea's coupled ears," The Journal of the Acoustical Society of America, vol. 124, pp. 2100-2105, Oct. 2008.
Conference Papers
[51] A. Khalaf, E. Sejdic, and M. Akcakaya, “Mutual Information for Transfer Learning in Hybrid EEG-fTCD Brain-Computer Interfaces” 9th International IEEE EMBS Conference on Neural Engineering (NER) 2019.
[50] E. Dagois, A. Khalaf, E. Sejdic, and M. Akcakaya, “Bhattacharyya Distance-based Transfer Learning for a Hybrid EEG-fTCD Brain computer Interface,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019.
[49] Y.M. Marghi, A. Kocanaogullari, M. Akcakaya, and D. Erdogmus, “ A History-based Stopping Criterion in Recursive Bayesian State Estimation,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019.
[48] X. Xu, K. Craig, D. Diaz, M. Goodwin, M. Akcakaya, B. Susam, J. Huang and V. de Sa, “Automated Pain Detection in Facial Videos of Children using Human-Assisted Transfer Learning,” Joint Workshop on AI in Health (AIH 2018), Stockholm, Sweden, Jul 2018.
[47] X. Xu, B. Susam, H. Nezamfar, K. Craig, D. Diaz, J. Huang, M. Goodwin, M. Akcakaya and V. de Sa, “ Towards Automated Pain Detection in Children using Facial and Electrodermal Activity,” Joint Workshop on AI in Health (AIH 2018), Stockholm, Sweden, Jul 2018.
[46] B. T. Susam, M. Akcakaya, H. Nezamfar. D. Diaz, X. Xu, V. R. de Sa, K. D. Craig, J. S. Huang, M.S. Goodwin, “Automated Pain Assessment Using Electrodermal Activity Data and Machine Learning,” 40th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, HI, July 2018.
[45] G. E. Yazdi, H. Nezamfar, M. Moghadamfalahi, M. Akcakaya, B. Shafai, D. Erdogmus, “An Adaptive Proportional BCI-Controller for Linear Dynamic Systems,” IEEE World Automation Congress, Stevenson, WA, USA, June 2018.
[44] S. Eldeeb, M. Sybeldon, M. Akcakaya, T. Wozny, J. Pan, M. Richardson, A. Bagic, A. Antony, “Adaptive Seizure Detection Using Statistical CUSUM Detector,” 31st International Congress of Clinical Neurophysiology, Washington DC, May 2018.
[43] M. Akcakaya, A. Khalaf, S. Eldeeb, J. Kersey, G. Alankus, E. Grattan, L. Waterstram, E. Skidmore"EEG-based Neglect Assessment" BCI Meeting 2018
[42] E. Sejdic, A. Khalaf, M. Akcakaya, "Within and Across Subject Analysis for Hybrid Brain Computer Interfaces Based on Electroencephalography and Functional Transcranial Doppler Ultrasound" BCI Meeting 2018
[41] D. Weber, S. Eldeeb, D. Erdogmus,M. Akcakaya " EEG-guided Electrotactile Stimulation for Haptic Feedback" BCI Meeting 2018
[40] P. Gonzalez-Navarro, A. Kocanaogullari, B. Kadioglu, M. Akcakaya, M. Fried-Oken, D. Erdogmus, " Effect of Query Length and Prospect Symbol Confidence in EEG-based Typing Systems" BCI Meeting 2018
[39] A. Kocanaogullari, P. Gonzales-Navarro, T. Memmott, B. Peters, A. Demir, M. Akcakaya, D. Erdogmus, " Query Exploration for Intended Task State Estimation with BCI", BCI Meeting 2018
[38] H. Wang, Y. Xiang, E. Dagois, M. Kelsey, S. Sen, A. Nehorai, M. Akcakaya, “ Clutter Identification Based on Kernel Density Estimation and Sparse Recovery,” SPIE Conference on Commercial Scientific Sensing and Imaging, Orlando, FL, April 2018.
[37] Y. Xiang, M. Kelsey, H. Wang, S. Sen, M.Akcakaya, A. Nehorai, “ A Comparison of Cognitive Approaches for Clutter-Distribution Identification in Nonstationary Environments,” IEEE Radar Conference 2018.
[36] M. Kelsey, R.V Palumbo, A. Urbaneja, I. Kleckner, K. S. Quigley, M. S. Goodwin, and M. Akcakaya, "Artifact Detection in Electrodermal Activity using Sparse Recovery," SPIE Conference on Commercial Scientific Sensing and Imaging, Anaheim, CA, April 2017.
[35] Y. Xiang, M. Akcakaya, S. Sen, D. Erdogmus, A. Nehorai, “A Comparison of Cognitive Approaches for Clutter-Distribution Identification in Nonstationary Environments,” Asilomar Conference on Signals Systems and Computers, Pacific Grove, CA, November 2017.
[34] M. Kelsey, S. Sen, A. Nehroai, M. Akcakaya, “Sparse Recovery for Nonstationarity Detection in Radar Measurements”, SPIE Conference on Commercial Scientific Sensing and Imaging, Anaheim, CA, 2017.
[33] M. Sybeldon, L. Schmit, E. Sejdic, and M. Akcakaya, “Transfer Learning for EEG Based BCI Using Learn++.NSE and Mutual Information,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, LA, USA, March 2017.
[32] M. Perez-Rosero, B. Rezai, M. Akcakaya and S. Ostadabbas, “ Decoding Emotional Experiences through Physiological Signal Processing,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, LA, USA, March 2017.
[31] Aya Khalaf, Matthew Sybeldon, Ervin Sejdic, Murat Akcakaya, "An EEG and fTCD based BCI for control," Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, November 2016.
[30] M. Haghighi, M. Moghadamfalahi, H. Nezamfar, M. Akcakaya, D. Erdogmus, “ Toward a Brain Interface for Tracking Attended Auditory Sources,” IEEE International Workshop on Machine Learning for Signal Processing (MLSP), Salerno, Italy, September 2016.
[29] J. Sourati, S. Kazmierczak, M. Akcakaya, J. Dy, T. Leen, D. Erdogmus, “ Assessing Subsets of Analytes in Context of Detecting Laboratory Errors,” IEEE International Engineering in Medicine and Biology Conference (EMBC), Orlando, FL, USA, August 2016.
[28] M. Kelsey, A. Dallal, S. Eldeeb, M. Akcakaya, I. Kleckner, C. Gerard, K. S. Quigley and M. S. Goodwin, “ Dictionary Learning and Sparse Recovery for EDA Analysis,” SPIE Conference on Compressive Sensing V: From Diverse Modalities to Big Data Analytics, Baltimore, MA, April 2016.
[27] M. Sybeldon and M. Akcakaya, “ Development of an SSVEP Brain Computer Interface Robust to Data Nonstationarity” BCI Meeting, Pacific Grove, CA, June 2016.
[26] P. Gonzalez-Navarro, M. Moghadamfalahi, M. Akcakaya and D. Erdogmus, “ A Kronecker Product Structured EEG Covariance Estimator for a Language Model Assisted-BCI” International Conference on Human Computer Interaction (HCI), Toronto, Canada, July 2016.
[25] B. Girvent, H. Nezamfar, M. Moghadamfalahi, F. Quivira, M. Akcakaya and D. Erdogmus,”Towards an Auditory BCI for Binary Communication in the ICU” BCI Meeting, Pacific Grove, CA, June 2016.
[24] M. Haghighi, M. Moghadamfalahi, H. Nezamfar, M. Akcakaya and D. Erdogmus,”Toward a Brain Interface for Tracking Attended Auditory Sources,” BCI Meeting, Pacific Grove, CA, June 2016.
[23] P. Gonzalez-Navarro, M. Moghadamfalahi, M. Akcakaya and D. Erdogmus, “ Error-Related Potentials for EEG-Based Typing Systems,” BCI Meeting, Pacific Grove, CA, June 2016.
[22] Q. Chen, S. Muftu, F.C. Meral, K. Tuncali and M. Akcakaya, “Pre-treatment Planning for Hepatic Radiofrequency Ablation,” IEEE Signal Processing in Medicine and Biology Symposium, Philadelphia, PA, Dec. 2015
[21] M. Moghadamfalahi, J. Sourati, M. Akcakaya, H. Nezamfar, M. Haghighi, D. Erdogmus, “Active Learning For Efficient Querying From A Human Oracle With Noisy Response In A Language Model Assisted Brain Computer Interface,” IEEE International Workshop on Machine Learning for Signal Processing , Boston, MA, Sept. 17-20, 2015
[20] J. Sourati, D. Erdogmus, M. Akcakaya, S. C. Kazmierczak, T. K. Leen, “A Novel Delta Check Method For Detecting Laboratory Errors,” IEEE International Workshop on Machine Learning for Signal Processing , Boston, MA, Sept. 17-20, 2015
[19] E. Onuk, M. Akcakaya, J. Bardhan, D. Erdogmus, D. Brooks, Lee Makowski, “Maximum A Posteriori Estimation Of Relative Abundances Of Protein Conformations,” IEEE International Workshop on Machine Learning for Signal Processing , Boston, MA, Sept. 17-20, 2015
[18] A. Lai, T. A. Wozny, A. Popescu, M. Baldwin, G. Ghearing, J. Pan, M. Akcakaya, M. Richardson, A. Bagic, A. R. Antony, Comparison of connectivity parameters in ictal and interictal states in intracranial EEG in patients with intractable epilepsy,” Annual Meeting of the American Epilepsy Society, Philadelphia, PA Dec. 4-8 (Abstract).
[17] K. Durai, T.A. Wozny, A. Popescu, G. Ghearing, M. Baldwin, J. Pan, C. Plummer, M. Akcakaya, M. Richardson, A. Bagic, A.R. Antony, “Partial directed coherence in simultaneous scalp and intracranial EEG in patients with intractable epilepsy,“ Annual Meeting of the American Epilepsy Society, Philadelphia, PA Dec. 4-8 (Abstract).
[16] M. Moghadamfalahi, P. Gonzalez-Navaro, M. Akcakaya, U. Orhan and D. Erdogmus, “ The Effect of Limiting Trial Count in Context Aware BCIs: A Case Study with Language Model Assisted Spelling,” International Conference on Human-Computer Interaction (HCI), Los Angeles, CA, Aug 2-5, 2015
[15] U. Orhan, D. Fernandez-Canellas, M. Akcakaya, D. H. Brooks, and D. Erdogmus, “ Utilization of Temporal Trial Dependency in ERP based BCIs,” Proc. 48th Asilomar Conf. Signals, Syst. Comput., Pacific Grove, CA, USA, Nov. 2-5, 2014.
[14] M.S. Goodwin, M. Haghighi, Q. Tang, M. Akcakaya, D. Erdogmus, S.S. Intille, “ Moving Towards a Real-Time System for Automatically Recognizing Stereotypical Motor Movements in Individuals on the Autism Spectrum Using Wireless Accelerometry,” International Conference on Ubiquitous Computing, Seattle, WA, USA, Sept. 13-17, 2014.
[13] M. Haghighi, M. Akcakaya, U. Orhan, D. Erdogmus, B. Oken, and M. Fried-Oken, “Initial Assessment of Artifact Filtering for RSVP KeyboardTM,” IEEE Signal Processing in Medicine and Biology Symposium, Brooklyn, NY Dec. 7, 2013.
[12] M. Higger, M. Akcakaya, U. Orhan, and D. Erdogmus, “Robust Classification in RSVP KeyboardTM,” International Conference on Human-Computer Interaction (HCI), Las Vegas, NV, July 21-26, 2013, pp. 443-449.
[11] U. Orhan, M. Akcakaya, M. Moghadamfalahi, and D. Erdogmus, “Comparison of adaptive symbol presentation methods for RSVP KeyboardTM,” International Brain Computer Interface (BCI) Meeting, Pacific Grove, CA, June 3-7, 2013 (Abstract).
[10] M. Moghadamfalahi, U. Orhan, M. Akcakaya, and D. Erdogmus, “Bayesian priors for classifier design in RSVP KeyboardTM,” International Brain Computer Interface (BCI) Meeting, Pacific Grove, CA, June 3-7, 2013 (Abstract).
[9] M. Moghadamfalahi, A. Satpute, M. Akcakaya, D. Brooks, J. Dy, D. Erdogmus, and L.F. Barrett, “Are affective responses in fMRI independent of previous affect-inducing stimuli,” Annual Meeting of the Organization for Human Brain Mapping (OHBM), Seattle, WA, USA, June 16-20, 2013 (Abstract).
[8] M. Akcakaya, C.H. Muravchik and A. Nehorai, “Performance analysis of biologicallycinspired coupled circular antenna array,” Proc. IEEE Antennas and Propagation Society International Symposium (APSURSI), Spokane, WA, USA, July 3-8 2011, pp. 1530-1533.
[7] M. Akcakaya and A. Nehorai “MIMO radar sensitivity analysis for target detection,” 2011 IEEE Radar Conference, Kansas City, KS, USA, May 23-27, 2011, pp. 633-638
[6] M. Akcakaya, C.H. Muravchik and A. Nehorai, “Biologically inspired direction of arrival estimation,” GOMACTech 2011, Orlando, FL, USA, Mar. 21-24, 2011.
[5] M. Akcakaya, C.H. Muravchik and A. Nehorai, “Biologically inspired coupled antenna array for direction of arrival estimation,” Proc. 44th Asilomar Conf. Signals, Syst. Comput., Pacific Grove, CA, USA, Nov. 7-10, 2010, pp. 1961-1965 (Third Place Student Contest Award Winner).
[4] M. Akcakaya and A. Nehorai, “Biologically inspired coupled beampattern design,” Proc. IEEE 5th Int. Waveform Diversity and Design Conf. Niagara Falls, Canada, Aug. 8-13, 2010, pp. 48-52 (First Place Student Contest Award Winner).
[3] M. Akcakaya and A. Nehorai, “MIMO radar detection and adaptive design in Compound-Gaussian clutter,” Proc. IEEE Int. Radar Conf. Washington DC, USA, May 10-14, 2010, pp 236-241 (Third Place Student Contest Award Winner).
[2] M. Akcakaya and A. Nehorai, “MIMO radar detection under phase synchronization errors,” Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP), Dallas, TX, USA, Mar. 14-19, 2010, pp. 2578-2581.
[1] M. Akcakaya, M. Hurtado and A. Nehorai, “MIMO radar detection of targets in compound-Gaussian clutter,” Proc. 42nd Asilomar Conf. Signals, Syst. Comput., Pacific Grove, CA, USA, Oct. 2008, pp. 208-212.