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Welcome to IMPRESS lab!
At the Information Processing and Sensing (IMPRESS) Lab, our research lies at the intersection of signal processing and machine learning, with a strong focus on applications in radar, remote sensing and communications. We pursue both fundamental and applied research, spanning the design, development, and experimental validation of advanced sensing systems to cutting-edge techniques in information processing and machine learning. Our work emphasizes developing learning based techniques with the goal of enabling next-generation intelligent sensing and communication technologies.
Recent News
- Dr. Gurbuz presents IMPRESS research to NASA astronaut Christina Koch
Dr. Ali Cafer Gurbuz presented the IMPRESS Lab’s research to Christina Koch — NASA astronaut, the first woman to fly around the Moon, and an… - IMPRESS Lab demonstrates ISAC systems at the ECE Back to School event
The IMPRESS Lab took part in the ECE Back to School event on August 22, demonstrating our software-defined radio based integrated sensing and communication (ISAC)… - New paper published in IEEE Transactions on Geoscience and Remote Sensing
Our recent paper “RFI-Net: Enhancing Passive Sensing through Deep Learning Based Time-Frequency Domain Radio Frequency Interference Detection and Mitigation” is published in IEEE Transactions on… - Dr. Gurbuz receives a 2026 NC State Faculty Excellence Award
Dr. Ali Cafer Gurbuz has received a 2026 NC State University Faculty Excellence Award, presented by Chancellor Kevin Howell at this year’s Celebration of Faculty… - IMPRESS team wins 2nd place at the AFRL SDR University Challenge
The IMPRESS Lab team has been awarded 2nd place at the AFRL Software Defined Radio (SDR) University Challenge, held in Dayton, Ohio. Out of 22… - IMPRESS team “Neural Flyers” takes 2nd place in the AERPAW Autonomous Data Mule Challenge
The IMPRESS Lab team Neural Flyers has been awarded 2nd place in the AERPAW Autonomous Data Mule Challenge. AERPAW — the Aerial Experimentation and Research… - Ahmed Manavi Alam presents at the NC State ECE Colloquium
IMPRESS Lab Ph.D. candidate Ahmed Manavi Alam gave an ECE Colloquium talk at North Carolina State University in Fall 2025, presenting parts of his Ph.D…. - IMPRESS team places 3rd in the SignEval 2025 Multimodal Sign Language Recognition Challenge at ICCV
The IMPRESS NCSU Team — Ph.D. students Sultan Mohammad Manjur and Sabyasachi Biswas with Dr. Ali Cafer Gurbuz — has been awarded 3rd place in…
Research Interests
- Compressive learning
- Deep learning based Inverse Problems and Signal Processing
- Computational imaging, Sparse Signal Processing, Compressive Sensing
- Integrated Sensing and Communications (ISAC)
- Signals of Opportunity Based Sensing and Passive Radars
- Machine Learning for Autonomous Systems
- UAV based Smart Sensing Systems
- Machine Learning for Radar and Remote Sensing Systems
- Radar and Array Signal Processing
Highlights
NSF CAREER Award
U.S. Patent 11,301,672
Radar-based methods and apparatus for communication and interpretation of sign languages
EURASIP Best Paper Award
Compressive Sensing for Subsurface Imaging Using Ground Penetrating Radar, Signal Processing
IEEE SENSORS Top Paper
ASL Recognition Based on Kinematics Derived from a Multi-Frequency RF Sensor Network — selected as a Top Paper by the Technical Program Committee
IGARSS Best Paper Finalist
SMAP Radiometer RFI Prediction with Deep Learning Using Antenna Counts (A. M. Alam)
NASA FINESST Award
Future Investigators in NASA Earth and Space Science and Technology fellowship (M. M. Farhad)
Join Us — We Are Recruiting!
We are always looking for motivated Ph.D. students and postdoctoral researchers in signal processing, machine learning, radar, and remote sensing. Openings and application details are on our Join Us page.
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