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Signals, Communications, and Networking

Affiliated Faculty: Batalama, Fam, Mastronarde, Melodia, Pados, Scutari, Soumekh, Su, Sun, Ying

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Stella Batalama: Communication systems and adaptive signal processing

Small-sample-support adaptive filtering
MIMO communications
Cooperative communications
Cognitive radios and networks
Interference channels
Steganography, steganalysis

Adly Fam: Digital signal processing

Dr. Fam's research focuses on digital signal processing. He and his student developed the interlaced chirp Z transform method. This is a new approach towards achieving non-uniform resolution in the frequency domain. The approach is based on using multiple Chirp Z Transforms which are of different resolution and carefully staggered to avoid overlapping of samples. This method proves to be computationally more efficient than other existing non-uniform frequency resolution methods.

Nicholas Mastronarde: Multimedia and video communications

Multimedia communications and systems
Resource allocation and scheduling
Markov decision processes

Tommaso Melodia: Wireless networks and embedded systems

The Wireless Networks and Embedded Systems (WNES) Laboratory was founded in 2007 within the Department of Electrical Engineering, and currently includes three Ph.D. and several M.S. students conducting leading-edge research in wireless networking and communications, embedded systems, and network optimization and control. Current funding sources include the National Science Foundation, the US Air Force Research Laboratory, and the Office of Naval Research. The laboratory has recognized expertise in the design, modeling, optimization, simulation, and deployment of wireless sensor networks, and in experimental development and measurement. In particular, ongoing research projects include underwater acoustic networking, cognitive radio networks, and wireless multimedia sensor and actor networks.

Dimitris Pados: Communications theory and systems

Signal waveform design for interference channels
Coding and sequences
Cognitive channelization and networking
Compressed sensing
MIMO and coop communications
Smart antennas and array radar
Distributed detection
Non-linear signal processing and neural networks
Data embedding and hiding, watermarking, authentication

Gesualdo Scutari: Game theory and variational inequalities

Distributed optimization
Convex optimization
Cognitive radio systems
Sensor networks

Mehrdad Soumekh:Synthetic radar imaging

Dr. Soumekh is an expert in radar and medical image processing. He is especially recognized for his work in analyzing synthetic radar images. He is funded by the AFOSR. He is the Director of the SAR High Performance Computing Laboratory. The objective of this laboratory is to develop high-speed signal processing and image formation algorithms for Synthetic Aperture Radar (SAR) systems. Under the sponsorship of the Air Force Office of Scientific Research, a High Performance Computing (HPC) laboratory is established for analyzing the merits of various advanced SAR data collection and information processing algorithms such as Continuous Phase Modulation (CPM) chirp radar signaling and PRF staggering schemes for Electronic Counter Counter-Measure (ECCM), along-track monopulse SAR for Moving Target Detection (MTD), rejection of Radio Frequency Interference (RFI) in FOliage PENetrating (FOPEN) SAR, alias-free processing of wide-beamwidth FOPEN SAR data, reconnaissance with Circular SAR (CSAR), and parallel architectures for near real-time image formation (Range Stacking) in FOPEN and Ground PENetrating (GPEN) SAR systems.
The SAR HPC laboratory is intended to establish the means by which the collaborative efforts between Dr. Soumekh and the Air Force and Navy laboratories are continued. It is anticipated that this collaboration would not only enhance the quality of research-related education at University at Buffalo but also would yield results which are of significance to the research programs of the Department of Defense.

Weifeng Su: MIMO and cooperative communications and networks

Dr. Su is conducting research in several areas including:
- Space-Time (ST) Modulation and Coding for MIMO Wireless Communications
- Space-Frequency (SF) Coding for MIMO-OFDM Systems in Boradband Wireless Communications
- Cooperative Communications in Mobile Ad Hoc Networks (MANETs)
- Cross-Layer Design and Optimization for Wireless Networks
- Ultra-Wideband (UWB) Wireless Communications
- MIMO Optical Wireless Communications
- Wavelet Analysis and Filter Banks

Zhi Sun: Wireless networks and cyber-physical systems