Shubham Chamadia

**** **, ***** ***., *********, Oregon-97124

Æ +1-716-***-**** R shubhamc@bu alo.edu www.bu alo.edu/ shubhamc shubhamchamadia Summary

Ph.D. in wireless communication & networking with specialization in robust signal processing including physical/MAC layer security protocol designs and machine learning/image processing algorithms. Technical Skills

Protocols: 3G/LTE, Wi-Fi, HSPA, NFC, TCP/IP, IEEE 802.11 a/b/g, Bluetooth, WiGig, RFID, DHCP Technologies: MIMO, W/CDMA, TDMA, OFDM, filter design, Beamforming, PHYLAWS, WiMax Software Tools: Matlab, C, Python, NS3, Simulink, Wireshark, iperf, Gnu Radio, R, Mathematica, Unix Hardware Tools: Spectrum/Network Analyzer, USRP, Oscilloscope, Function Generator, Multimeter Education

University at Bu alo, New York June 2017

Ph.D. in Electrical Engineering, Advisor: Dr. Dimitris A. Pados GPA 3.6/4.0 Thesis: “Signal Processing over Faulty Data: Sparse L1-norm Principal-Component Analysis” Birla Institute of Technology, Ranchi, India May 2012 Masters in Electrical Engineering, Advisor: Dr. P. K. Upadhyay GPA 3.7/4.0 Thesis: “Adaptive Power Allocation for Asymmetric-Bidirectional Relay Networks” Selected Research Projects

Hybrid automatic repeat request (HARQ) from wireless security perspective May 2017

• Designed optimal power sequence that maximizes the outage probability of unintended eavesdropper.

• Enforced realistic wireless framework: correlated-channels and location uncertainty of receivers.

• Impacted eavesdropper with an additional 2 orders of magnitude outage over equal power scheme.

• Immediate application to low-powered wireless sensors and PHY/MAC layer robust security design. Temporal oscillatory on-o signal detection Sept. 2016

• Addressed the challenge of detecting intermittent informative signals received over multiple antennas.

• Considered strenuous environment of high-powered jammers corrupting the received signal.

• Proposed optimal L1-sparse algorithm, being outlier resistant, captures only relevant information.

• Acknowledged in military radar intelligence detecting aircrafts, radiology, and medical diagnosis. Super-resolution Direction-of-Arrival (DoA) estimation Aug. 2015

• Data corrupted by sporadic jammers and received by few faulty (unknown) multiple-antennas.

• Suggested near-optimal L1-sparse component scheme detects and removes noise-only information.

• Observed nearly 5 dB resolution improvement over the traditional sparse/non-sparse techniques.

• Prominent implementation to adaptive antenna beamforming, sonar, and electronic surveillance. Multi-camera compressed-sensed Kalman filtered image recovery Sept. 2014

• Improved image recovery (fusion) via exploiting inter-frame spatio-temporal hidden information.

• Established motion-disparity state transition model via designed joint Kalman filtering approach.

• Illustrated nearly 4 dB PSNR advantage against the available single-view decoding recovery.

• Advanced application to CT/MRI medical imaging, motion blur prevention, and aerial remote sensing. Adaptive resource allocation over asymmetric bi-directional relay networks Feb. 2012

• Derived an optimal relay location, minimizing system outage over amplify-and-forward protocol.

• Designed transceiver power for a fixed relay location maintaining the minimum QoS.

• Boosted outage to an order magnitude compared to the conventional equal power allocation scheme.

• Energy e cient applications to commercial unmanned mining vehicles and wireless power transfer. Professional Experiences

Research Assistant, University at Bu alo Mar. 2015-present

• Designed/optimized power sequence in HARQ protocol, maximizing eavesdropper’s outage probability.

• Proposed and implemented robust L1-norm supported outlier detection and removal algorithm. Teaching Assistant, University at Bu alo Oct. 2012-Feb. 2015

• Worked with diverse students, lectured, demonstrated labs, evaluated presentations/assignments.

• Courses assisted: Smart antennas, Communication systems, Electromagnetic theory, Semiconductors. Verizon Data Services Pvt. Ltd., Hyderabad, India Mar. 2012-Sept. 2012

• Leveraged advanced knowledge in developing wireless communication protocols.

• Within collaborative development environment, facilitated team to assure software solutions. Indosolar Pvt. Ltd., Delhi, India May 2010-Sept. 2010

• Summer internship aimed at learning fabrication and process modelling of solar cells modules.

• Compiled and published an extensive report through data collection and system testing. Publications

[1] P. P. Markopoulos, S. Kundu, S. Chamadia, and D. A. Pados, “E cient L1-norm principal component analysis,” IEEE Trans. Signal Proc., vol. 65, pp. 4252-4264, Aug. 2017.

[2] S. Chamadia and D. A. Pados, “Outlier processing via L1-principal subspaces”, in Proc. Flor. Arti. Intel l. Res. Soci. (FLAIRS), Florida, May 2017.

[3] S. Chamadia and D. A. Pados, “Optimal sparse L1-norm principal-component analysis,” in Proc. IEEE Int. Conf. Acoust. Speech, Signal Process. (ICASSP), New Orleans, Mar. 2017.

[4] S. Chamadia and D. A. Pados, “Optimal algorithms for sparse L1-principal component analysis,” IEEE Trans. Signal Proc., submitted, Jan. 2017.

[5] P. P. Markopoulos, S. Kundu, S. Chamadia, and D. A. Pados, “L1-norm principal-component analysis via bit flipping analysis,” in Proc. Int. Conf. Mach. Lear. Appl. (ICMLA), California, pp. 302-332, Dec. 2016.

[6] Y. Liu, S. Chamadia, and D. A. Pados, “Joint-view kalman-filter recovery of compressed-sensed mul- tiview videos,” in Proc. IEEE Int. Conf. Acoust. Speech, Signal Process. (ICASSP), Shanghai, pp. 1721-1725, Mar. 2016.

[7] S. Kundu, S. Chamadia, and D. A. Pados, “Fastest-known near ML decoding of golden codes,” in Proc. IEEE Signal Process. Adv. Wireless. Commun. SPAWC, Toronto, pp. 209-213, Jun. 2014. Relevant Courses

Digital signal processing, Detection-estimation theory, Principles of networking, LTE and mobile networks Video communication, Probability-stochastic process, Smart antennas, MIMO wireless communication. Others

1st place in technical poster competition at University at Bu alo, Mar. 2014. 2nd place in UB-GRoW Solar Decathlon competition as engineering manager at California, Oct. 2015. Peer-reviewer of articles including Elsevier (MRI) and ICA3PP. Various intra-department technical talks and presentations motivating young researchers. Active member of IEEE ComSoc, ACM, and AAAI artificial intelligence society.

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