**Journal papers**

[1] *S. Chamadia* and D. A. Pados, “Optimal algorithms for
sparse $L_1$-principal component analysis,” *IEEE Trans. Signal Proc.*, 2017 (submitted).

[2] P. P. Markopoulos, S. Kundu, *S. Chamadia *, and D. A. Pados, “Efficient $L_1$-
norm principal-component analysis via bit flipping,” *IEEE Trans. Signal Proc.*,
vol. 65, pp. 4252-4264, Aug. 2017.

**Conference papers**

[1] *S. Chamadia* and D. A. Pados, “Outlier processing via $L_1$-
principal subspaces,” in proc. *Flor. Arti. Intell. Res. Soc.* (FLAIRS),
Florida, May 2017, pp. 508-513.

[2] *S. Chamadia* and D. A. Pados, “Optimal sparse $L_1$-norm principal
component analysis,” in proc. *IEEE Intern. Conf. on Acoust., Speech, and Signal Process.*
(ICASSP), New Orleans, Mar. 2017, pp. 2686-2690.

[3] P. P. Markopoulos, S. Kundu, *S. Chamadia *, and D. A. Pados, “$L_1$-norm
principal-component analysis via bit flipping,” in proc. *Int. Conf. Mach. Learn. Appl.*
(ICMLA), California, Dec. 2016, pp. 326-332.

[4] Y. Li, *S. Chamadia*, and D. A. Pados, “Joint-view kalman-filter recovery of
compressed-sensed multiview videos,” in proc. *IEEE Intern. Conf. on Acoust., Speech, and
Signal Process.* (ICASSP), Shanghai, Mar. 2016, pp. 1721-1725.

[5] S. Kundu, *S. Chamadia*, D. A. Pados, and S. N. Batalama, “Fastest-known near-ml decoding of golden
codes,” in proc. *IEEE Intern. Signal Process. Adv. Wireless. Commun.* (SPAWC), Toronto,
june 2014, pp. 209-213.

**Technical posters**

[1] *S. Chamadia* and D. A. Pados, “Optimal sparse $L_1$-norm principal
component analysis,” in proc. *IEEE Intern. Conf. on Acoust., Speech, and Signal Process.*
(ICASSP), New Orleans, Mar. 2017.

[2] S. Kundu, *S. Chamadia*, D. A. Pados, and S. N. Batalama, “Fastest-known near-ml decoding of golden
codes,” in proc. *IEEE Intern. Signal Process. Adv. Wireless. Commun.* (SPAWC), Toronto,
june 2014.

*
*

**Technical presentations**

*[1]*

*S. Chamadia*“Outlier processing via $L_1$-principal subspaces,” in

*Florida Arti. Intell. Res. Soc. (FLAIRS)*, Marco Island, Florida, May 2017.

[2]

*S. Chamadia*“Kernel PCA and near-optimal $L_1$-sparse PCA,” in

*University at Buffalo*, New York, Mar. 2017.

[3]

*S. Chamadia*“Living on the Fringe: Outlier removal via $L_1$-principal components,” in

*University at Buffalo*, New York, May 2016.

[4]

*S. Chamadia*“The Optimal $L_1$-Sparse Principal Components,” in

*University at Buffalo*, New York, Oct. 2015.

**Manuscript in prepration**

[1] *S. Chamadia*, S. Kundu, S. and D. A. Pados, “Computational advances in sparse $L_1$-norm principal component analysis of multi-dimensional data,” in Camsap, 2017.

[2] S. Kundu, *S. Chamadia*, and D. A. Pados, “Hybrid-ARQ: A paradigm in communication security measure,” in *IEEE Trans. Wireless Commun.*, 2017.

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