Electrical Computer Science

SIDDHARTH DANGI

*-*** ******** *** ****, Berkeley, CA 94720 949-***-**** ******@****.********.*** www.eecs.berkeley.edu/~sdangi

EDUCATION University of California, Berkeley

Ph.D. Electrical Engineering and Computer Science, expected May 2015 (GPA: 3.86/4.00)

B.S. Electrical Engineering and Computer Science, May 2010 (GPA: 3.89/4.00, GRE: 800 Q, 680 V)

GRADUATE Digital Signal Processing Random Processes in Systems Digital Communication

COURSEWORK Convex Optimization Brain-Machine Interfaces Wireless Communication

Statistical Learning Theory Neural Computation Information Theory

RELEVANT Graduate Student Researcher, Brain-Machine Interface (BMI) Systems Lab (UC Berkeley) since 1/11

Working with Prof. Jose Carmena on next-generation BMI decoding algorithms.

EXPERIENCE

Currently exploring novel methods of closed-loop decoder adaptation.

Graduate Student Instructor, EE 121/120/20N since 1/10

Led weekly discussions and office hours and served as grading/newsgroup coordinator.

Designed problem sets and exams, and lectured on topics such multivariate Gaussians and OFDM.

Received Outstanding GSI Award (awarded to

Student Intern/Researcher, Lawrence Livermore National Laboratory 6/09 1/10

Developed signal processing software to analyze experimental data from various

diagnostic systems surrounding the newly-built National Ignition Facility laser.

Designed an algorithm to accurately locate 2 ns transient signals from scope data.

Researched deconvolution methods in highly-varying SNR environments.

Implemented more advanced and stable methods of power spectral density estimation.

Adapted an algorithm to stitch together multiple varying-resolution scope traces of a signal.

EE Intern, Tandem Diabetes Care 6/08 9/08

Created and managed a database of electrical components to interface with the circuit design software.

PUBLICATIONS Orsborn A.L., Dangi S., Moorman H.G., and Carmena J.M. (2011). Closed-loop decoder adaptation on

intermediate time-scales facilitates rapid BMI performance improvements independent of decoder

initialization conditions. Submitted to Transactions on Neural Systems and Rehabilitation Engineering.

Ganguly K., Orsborn A.L., Koralek A.C., Long J.D., Dangi S., Schulman J., Gowda S., Moorman H.G.,

and Carmena J.M. (2011). Learning Mechanisms Underlying Neuroprosthetic Control. To appear in

proceedings of IEEE EMBS Conference, Boston (MA).

Orsborn A.L.*, Dangi S.*, Moorman H.G., and Carmena J.M. (2011). Exploring Time-Scales of Closed-

Loop Decoder Adaptation in Brain-Machine Interfaces. To appear in proceedings of IEEE EMBS

Conference, Boston (MA). (* joint authorship)

Dangi S., Gowda S., H liot R., and Carmena J.M. (2011). Adaptive Kalman Filtering for Closed-Loop

Brain-Machine Interfaces. IEEE Neural Engineering Conference, Cancun (Mexico).

ACADEMIC Security Zone Simulation, EE 149 Project (1/09 5/09)

Simulated an automated security system using robots acting as guards and thieves.

PROJECTS

Developed an algorithm using the OpenCV library and image processing techniques to simultaneously

track the position and orientation of multiple robots in real-time.

Interfaced ultrasonic range finder sensors to the robots ARM microcontrollers.

ACTIVITIES HKN, Eta Kappa Nu (EECS Honor Society)

Served on the Executive, Industrial Relations, Activities, and Service committees.

Volunteered weekly as a drop-in tutor for undergraduate EECS students.

SKILLS Software: LabView, OrCAD, Logisim

Languages: MATLAB, Python, IDL, C, C++, Java, PHP, SQL

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