Annamalai Natarajan (anataraj@cs.umass.edu)

I am a sixth year PhD candidate in the College of Information and Computer Sciences at the University of Massachusetts Amherst. I am advised by Ben Marlin and Deepak Ganesan. I am part of Sensors and MLDS labs.

Education
Master of Science in Computer Science, December 2009
Colorado State University, Fort Collins

Bachelors of Information Technology, May 2004
University of Madras

Employment
September 2012 - Present
Research Assistant, College of Information and Computer Sciences, University of Massachusetts Amherst, Amherst, MA

June 2017 - September 2017
Summer Intern, Mitsubishi Electric Research Labs, Cambridge, MA

May 2015 - July 2015
Summer Intern, Technicolor Research, Los Altos, CA

January 2010 - August 2012
Research Specialist, Princeton Computational Memory Lab, Princeton University, Princeton, NJ

August 2008 - May 2009
Teaching Assistant, Department of Computer Science, Colorado State University, Fort Collins, CO

June 2004 - December 2006
Software Engineer, Tech Mahindra, Hyderabad, India

Publications

  1. Natarajan, A., Angarita, G., Gaiser, E., Malison, R., Ganesan, D., & Marlin, B. (2016). Domain Adaptation Methods for Improving Lab-to-field Generalization of Cocaine Detection using Wearable ECGProceedings of the 2016 ACM international joint conference on Pervasive and ubiquitous computingPDF Slides
  2. Natarajan, A., Xu, K., & Eriksson, B (2016)Detecting Divisions of the Autonomic Nervous System Using WearablesProceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. PDF Slides
  3. Nguyen, T.*, Adams, R.*, Natarajan, A.*, Marlin, B. (2016). Parsing Wireless Electrocardiogram Signals with Context Free Grammar Conditional Random FieldsProceedings of the conference on Wireless Health. ACM. PDF
  4. Natarajan, A., Gaiser, E., Angarita, G., Malison, R., Ganesan, D., & Marlin, B. (2014). Conditional Random Fields for Morphological Analysis of Wireless ECG SignalsProceedings of the 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (pp. 370-379). PDF Slides
  5. Natarajan, A., Parate, A., Gaiser, E., Angarita, G., Malison, R., Marlin, B., & Ganesan, D. (2013). Detecting Cocaine Use with Wearable Electrocardiogram SensorsProceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computingHonorable mentionPDF Slides
  6. Detre, G. J.*, Natarajan, A.*, Gershman, S. J., & Norman, K. A. (2013). Moderate levels of activation lead to forgetting in the think/no-think paradigm. Neuropsychologia. PDF Supplementary Material
  7. Anderson, C., Forney, E., Hains, D., Natarajan, A. (2011). Reliable identification of mental tasks using time-embedded EEG and sequential evidence accumulation, Journal of Neural Engineering, vol. 8, no. 2, 025023. PDF
* - equal contribution

Thesis & Dissertation

  1. Natarajan, A. (2009), Estimating Sparse Inverse Covariance matrices for Brain Computer Interface applications, Masters Thesis, Department of Computer Science, Colorado State University, Fort Collins, CO. PDF

Posters
  1. G. A. Angarita, A. Nararajan, E. Gaiser, A. Parate, B. Marlin, R. R. Gueorguieva, R. Lampert, D. Ganesan, R. T. Malison, A Remote Wireless Sensor Network (RWSN) / Electrocardiographic (ECG) Approach to Discriminating Cocaine Use, Poster presented at the Annual Meeting of the College on Problems of Drug Dependence, Puerto Rico, (June, 2014). PDF
  2. Natarajan, A., Parate, P., Gaiser, E., Angarita, G., Malison, R., Marlin, B., & Ganesan, D., Detecting Signatures of Cocaine Using On-Body Sensors. Poster presented at the Annual Meeting of the American Medical Informatics Association, Washington D.C. (Nov, 2013). PDF
  3. Detre, G.J., Natarajan, A. & Norman, K.A. Moderate Memory Activation Leads to Forgetting in the Think-No Think Paradigm. Poster presented at the Annual Meeting of the Society for Neuroscience, San Diego (Nov, 2010). PDF
  4. Natarajan, A., & Anderson, C. (2009). Estimating Sparse Inverse Covariance matrices for Brain Computer Interface applications. Poster presented at the Molecular, Cellular and Integrative Neurosciences spring poster symposium, Colorado State University, Fort Collins (Mar, 2009)PDF
Toolbox

        Probabilistic Curve Induction and Testing Toolbox (P-CIT)


Patents

Inventors: Oswal, U., Eriksson, B., Hamidi-Rad, H., Bhamidipati, S., Seifi, H., Natarajan, A., Lim, C., and P. Siminelakis

  1. Personalized presentation enhancement using Augmented Reality, Application number: 62/268,577, (Provisional filed, December 2015).
  2. Content Background enhancement using Augmented Reality, Application number: 62/268,582, (Provisional filed, December 2015).
  3. Method and System using Augmented Reality to produce an immersive background, Application number: 62/268,587, (Provisional filed, December 2015).
  4. Method and System using Augmented Reality to expand visual effects to off-screen, Application number: 62/268,594, (Provisional filed, December 2015).
  5. Method and Apparatus for remote parental control of content viewing in Augmented Reality settings, Application number: 62/268,640, (Provisional filed, December 2015).
  6. Method and Apparatus for creating representative list of preview scenes using Augmented Reality, Application number: 62/268,644, (Provisional filed, December 2015).
  7. Method and Apparatus for displaying content in Augmented Reality settings, Application number: 62/268,650, (Provisional filed, December 2015).
  8. Method and Apparatus for displaying content in Augmented Reality settings, Application number: 62/268,652, (Provisional filed, December 2015).
  9. Method and Apparatus for dynamic censoring of content in Augmented Reality settings, Application number: 62/268,656, (Provisional filed, December 2015).
  10. Apparatus and Method for tracking to determine viewer disinterest, Application number: 16/30651, (Provisional filed, May 2016).
  11. Apparatus and Method for eye tracking to determine types of disinterested content for a viewer, Application number: 16/30654, (Provisional filed, May 2016).