Full-time position that allows for advanced research in electrical and computer engineering in the field of wireless networking and communications.
Start time is negotiable, but preferably April 2012
wireless networking, wireless video streaming, compressed sensing (CS), convex optimization, cooperative communications, wireless multimedia sensor networks (WMSN), wireless sensor networks (WSN), internet of things (IoT), distortion based networking, cross-layer design, wireless routing protocols, wireless MAC protocols
The State University of New York (SUNY) University at Buffalo, Buffalo, NY
-Ph.D., Electrical Engineering, Expected May 2012 GPA: 3.87 (4.0 scale)
-Dissertation Topic: Relay Assisted Compressive Video Sampling in Wireless Multimedia Sensor Networks
-Adviser: Professor Tommaso Melodia
-Area of Study: Wireless Networking and Communications
-M.S., Electrical Engineering, May 2010 -GPA: 3.83 (4.0 scale)
-Qualifying Exam Score: 68/70 (December 2010)
-Adviser: Professor Tommaso Melodia
-Area of Study: Wireless Networking and Communications Rochester Institute of Technology, Rochester, NY
-B.S., Electrical Engineering, June 2008
-GPA: 3.62 (4.0 scale)
Research Assistant August 2008 - present
-Wireless Networks and Embedded Systems Laboratory,
-Department of Electrical Engineering,
-State University of New York (SUNY) University at Buffalo
-Supervisor: Professor Tommaso Melodia
--Relay-Assisted Compressive Video Sensing (RA-CVS)
---Design a system that uses compressive imaging properties and compressed sensing error correction properties in a cooperative communications system to transmit video over wireless multimedia sensor networks.
---Implement both proposed schemes and traditional schemes on USRP2 software defined radio test bed (ongoing).
--Compressive Video Sensing (CVS)
---Design a video encoder based on compressed sensing that takes advantage of both spatial and temporal correlation without the need for motion vectors.
---Design an adaptive parity scheme to compensate for channel errors, and compare performance with RCPC forward error correction encoding.
--Distortion Minimizing Rate Control (DMRC)
---Design a transport layer rate controller suitable for video transmission over wireless multimedia sensor networks.
---Extend the rate controller for compressive video sensing encoded video streams (C-DMRC).
---Use convex optimization techniques to prove C-DMRC solves a utility maximization problem with the sum of the received video quality as the utility function.
Research Assistant / Network Engineer November 2006 - August 2008
-Lab for Wireless Networking and Security,
-Golisano College of Computing and Information Sciences | Networking, Security, and Systems Administration,
-Rochester Institute of Technology
--Reactive Multi-Meshed Tree Routing (RMMT)
---Design a reactive multi-meshed tree routing protocol for communication between multiple clusters and implement protocol using OPNET modeler.
--Medium Access Control (MAC) for Airborne Networks using Directional Antennas
---Design a MAC that takes advantage of reuse opportunities provides by highly directional antennas.
S. Pudlewski, T. Melodia, A. Prasanna "Compressed-Sensing-Enabled Video Streaming for Wireless Multimedia Sensor Networks," to appear in IEEE Transactions on Mobile Computing 2011.
S. Pudlewski, T. Melodia, "A Distortion-minimizing Rate Controller for Wireless Multimedia Sensor Networks," Computer Communications (Elsevier), Vol. 33, no. 12, pp. 1380-1390, July 2010.
T. Melodia, S. Pudlewski, "A Case for Compressive Video Streaming in Wireless Multimedia Sensor Networks," IEEE COMSOC MMTC E-Letter, Vol. 4, No. 9, October 2009.
SUBMITTED JOURNAL PUBLICATIONS
S. Pudlewski, T. Melodia, "A Tutorial on Encoding and Wireless Transmission of Compressively Sampled Videos," submitted for publication in IEEE Communications Surveys & Tutorials 2011.
S. Pudlewski, T. Melodia, "A Rate-Energy-Distortion Analysis for Compressive Video Streaming on Multimedia Sensors" submitted for publication in IEEE Transactions on Multimedia.
S. Pudlewski, T. Melodia,"A Rate-Energy-Distortion Analysis for Compressed-Sensing-Enabled Wireless Video Streaming on Multimedia Sensors," in Proc. of IEEE Global Communications Conference (GLOBECOM), Houston, Texas, USA, December 2011.
S. Pudlewski, T. Melodia, "C-DMRC: Compressive Distortion-Minimizing Rate Control for Wireless Multimedia Sensor Networks," in Proc. Of IEEE Intl. Conf. on Sensor, Mesh and Ad Hoc Communications and Networks (SECON), Boston, Massachusetts, June 2010.
S. Pudlewski, T. Melodia, "On the Performance of Compressive Video Streaming for Wireless Multimedia Sensor Networks," in Proc. of IEEE Intl. Conf. on Communications (ICC),Cape Town,South Africa, May 2010.
S. Pudlewski, A. Prasanna, T. 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. S. Pudlewski, T. Melodia, "DMRC: Distortion-minimizing Rate Control for Wireless Multimedia Sensor Networks," in Proc. of IEEE Intl. Conf. on Mobile Ad Hoc And Sensor Systems (MASS), Macau, China, October 2009.
L. Ding, S. Pudlewski, T. Melodia, S. Batalama, J. Matyjas, M. Medley, "Distributed Spectrum Sharing for Video Streaming in Cognitive Radio Ad Hoc Networks," in Proc. of Intl. Workshop on Cross-layer Design in Wireless Mobile Ad Hoc Networks, Niagara Falls, Canada, September 2009.
S. Pudlewski, N. Shenoy, Y. Al-Mousa, Y. Pan, J. Fischer, "A Hybrid Multi Meshed Tree Routing Protocol for Wireless Ad Hoc Networks," in Proc. Of IEEE Intl. Conf. on Mobile Ad Hoc And Sensor Systems (MASS), Atlanta, Georgia, USA, September 2008.
PAPERS IN PREPARATION
S. Pudlewski, T. Melodia, "RA-CVS: Cooperating to Stream Compressively Sampled Videos," March 2012.
BOOK CHAPTERS IN PREPARATION
S. Pudlewski, T. Melodia, "Compressive Video Sensing" in Intelligent Sensor Networks: Across Sensing, Signal Processing, and Machine Learning, Eds. Fei Hu, Qi Hao.
-IEEE Communications Surveys & Tutorials
-IEEE Journal on Selected Areas in Communications (JSAC)
-IEEE Transactions on Mobile Computing (TMC)
-IEEE Transactions on Vehicular Technology (TVT)
-European Transactions on Telecommunications (ETT)
-Ad Hoc Networks (Elsevier)
-Computer Networks (Elsevier)
-Journal of Sensors (Hindawi)
-Ad Hoc & Sensor Wireless Networks (AHSWN)
-IEEE Global Communications Conference (GLOBECOM) 2008, 2009, 2010, 2011
-IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS) 2009, 2010, 2011
-IEEE International Conference on Communication Technology (ICCT) 2011
-Military Communications Conference (MILCOM) 2011
-IEEE Workshop on Internet of Things Technology and Architectures (IoTech) 2011
-European Conference on Wireless Sensor Networks (EWSN) 2011
-IEEE International Conference on Computer Communications (INFOCOM) 2011, 2012
Vocal Technologies, Buffalo, NY May 2010 - August 2010
--Built a basic implementation of the GPSR compressed sensing reconstruction algorithm using C.
--Studied possible cryptography uses of compressed sensing.
Air Force Research Laboratory (RIGF), Rome, NY July 2009 - August 2009
-Intern -Supervisor: Dr. John Matyjas
--Video Simulation using OPNET
--Design a system that transmits real (H.264, MJPEG) video traces using OP-NET Modeler.
--Incorporate real airborne channel models into OPNET and test received video quality using multiple routing algorithms.
Spectracom Corp, Rochester, NY November 2006 - August 2008
-Network Engineer (Intern)
-Supervisor: John Fischer
--Mesh Network Design and Simulation
--Design and simulate network protocols using OPNET Modeler.
--Designed test scenarios for simulation.
--Help design, test, and improve new network protocols.
Philips Lighting CO, Bath, NY June 2005 - August 2005
--Test electrical characteristic of lamps over lifetime.
--Assist engineers in new lamp test and development.
-Computer Programming: MATLAB, C, C++, Python, TCL, UNIX shell scripting.
-Embedded and Real-time Systems: Software defined radio implementation using USRP2 and GNURadio.
-Wired and Wireless Network Simulation: ns-2, ns-3, OPNET
-MATLAB skill set: Wireless channel simulations, linear algebra, Fourier transforms, wavelet transform, CVX, image and video processing, compressed sensing implementation
-Productivity Applications: TEX (LATEX and BIBTEX), Microsoft Office (Excel, Word, Access, Visio, PowerPoint, OneNote, Outlook), OpenOffice, Gimp, XFig, other common productivity packages (for Windows and Linux platforms)
-Networking, Communications and Signal Processing:
--Compressed Sensing, Wireless Sensor Networks, Multimedia Sensor Networks, Video Encoding, Distortion Based Networking, Network Modeling, Network Utility Maximization, Routing Protocols, MAC protocols, Cooperative Communications.
-Modeling and Simulation:
--Multimedia Network Simulation, Channel Model Simulation, Wireless Network Simulation (OPNET, ns-2, ns-3).
--Convex Optimization, Linear Programming, Real Analysis, Network Modeling.
REFERENCES Available upon request.
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