Arvind Prasanna is seeking a full-time position in multimedia systems, image and video processing, or wireless networking. He has a Master of Science in Electrical Engineering from the University at Buffalo with a 3.85 GPA and thesis on rate control of compressed sensed videos. He has experience developing algorithms and implementing them on wireless platforms like USRP2 and Imote2 as a research assistant. He has also published papers in conferences on topics like resilient image sensor networks and compressive distortion minimizing rate control.

1. ARVIND PRASANNA
Email : ap92@buffalo.edu Residence:
Telephone : (716) 866 4528 56 Heath St
Webpage : http://www.eng.buffalo.edu/wnesl/arvind_prasanna Buffalo, NY 14214 USA
OBJECTIVE
To obtain a full time position in multimedia systems, image and video processing or in wireless networking that would
enable me to express skills gained from my research and academic experience.
EDUCATION
Master of Science in Electrical Engineering, expected September 2010 (Cumulative GPA 3.85/4)
University at Buffalo, The State University of New York, Buffalo, NY
 Thesis: “Rate Control of Compressed Sensed Videos on an USRP2 Software Defined Radio Platform.”
 Student member, IEEE.
Bachelor of Engineering in Electronics and Communication Engineering, June 2008
Visvesvaraya Technological University, Bangalore, India
TECHNICAL SKILLS
 Programming languages : C, C++, MATLAB, VHDL and Assembly.
 Operating systems : Linux and Windows.
 Scripting : Python and Shell scripting.
 Wireless platforms : USRP2 (based on GNU Radio) and Imote2.
 Tools and editors : Microsoft office, Xilinx ISE, Visual Studio and Simulink.
EXPERIENCE
Research Assistant, May 2009-Present
Wireless Networks and Embedded Systems Laboratory (WINES), University at Buffalo.
 Collaborating as a system developer in a research team on rate control of compressed sensed videos on
software defined radios.
 Testing the rate control algorithm for real time videos in 802.11b and OFDM networks on an USRP2 hardware platform.
 Implemented an adaptive parity scheme for bit error detection and for error resiliency.
 Optimized the code to enable real time encoding of video frames.
RELATED ACADEMIC PROJECTS
 Achieved lossless data compression and recovery using parallel dictionary LZW and canonical Huffman algorithms.
 Recovered compressed image and video signals in lossy channels using compressed sensing.
 Classified images based on the concept of central moments.
 Designed cyclic space-time block codes and orthogonal space-time code for MIMO systems.
ACADEMIC WORKSHOPS
Digital Signal Processor and Applications, ADI-IITM DSP Learning Center, IIT Madras, India, June 2007
 Developed algorithms for image restoration and segmentation, and for echo cancellation.
 Implemented the developed algorithms on the BF533 processor.
PUBLICATIONS
 Scott Pudlewski, Arvind Prasanna, Tommaso Melodia, “Resilient Image Sensor Networks in Lossy Channels Using
Compressed Sensing,” in Proc. of IEEE Intl. Workshop on Information Quality and Quality of Service for
Pervasive Computing (IQ2S), Mannheim, Germany, March 2010.
 Scott Pudlewski, Tommaso Melodia, Arvind Prasanna, “C-DMRC: Compressive Distortion Minimizing Rate Control
for Wireless Multimedia Sensor Networks,” Seventh Annual IEEE Communications Society Conference on
Sensor, Mesh, and Ad Hoc Communications and Networks (SECON), Boston, Massachusetts, June 2010.
ACADEMIC COURSEWORK
Wireless multimedia sensor networks, Multimedia communications, Computer vision and image processing,
Information theory and coding, Embedded systems design, and Digital and adaptive signal processing.
HONORS AND AWARDS
“Best Project” award for my project pertaining to data compression and recovery by the Department of
Electronics and Communication Engineering in my undergraduate studies.
VOLUNTEER WORK
 Assisted my undergraduate institution in organization of it’s first technical workshop.
 Student volunteered at the IEEE SECON conference at Boston, MA in June 2010.