<![CDATA[Ali Cafer Gurbuz Personal Website - News]]>Sat, 31 Aug 2024 03:16:07 -0700Weebly<![CDATA[New Journal Publication in Remote Sensing]]>Fri, 15 Sep 2023 07:00:00 GMThttps://www.alicafergurbuz.org/news/new-journal-publication-in-remote-sensing
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Learning-Based Optimization of Hyperspectral Band Selection for Classification
C.O. Ayna, R. Mdrafi, Q. Du, A.C. Gurbuz
Remote Sensing 15, no. 18: 4460. https://doi.org/10.3390/rs15184460

We propose a deep learning (DL) architecture composed of a constrained measurement learning network for band selection, followed by a classification network optimizing the final classification loss while learning to select the bands for this task. In this way, the proposed network directly learns to select bands that enhance the classification performance. For more, please check out our full manuscript here
]]><![CDATA[New Journal Publication in IEEE Tran. on Radar Systems]]>Thu, 07 Sep 2023 01:29:47 GMThttps://www.alicafergurbuz.org/news/new-journal-publication-in-ieee-tran-on-radar-systems
​CV-SincNet: Learning Complex Sinc Filters from Raw Radar Data for Computationally Efficient Human Motion Recognition
S. Biswas, C. O. Ayna, S.Z. Gurbuz, A.C. Gurbuz 
IEEE Transactions on Radar Systems, 2023

Our proposed approach, CV-SincNet, offers high classification accuracy with low computational latency while taking as input the raw, complex RF data samples. As a result, it can have important implications for applications requiring real-time RF data classification. Our results are shown over a 100 sign RF dataset of American Sign Language. For more, please check out our full manuscript here
]]><![CDATA[IMPRESS Lab presented 4 papers at IGARSS 23]]>Thu, 20 Jul 2023 07:00:00 GMThttps://www.alicafergurbuz.org/news/impress-lab-presented-4-papers-at-igarss-23
IMPRESS Lab students Ahmed M. Alam and Mehedi Farhad presented a total of 4 papers at IEEE International Geosciences and Remote Sensing Symposium (IGARSS’23), at Pasadena, CA. 
  • Software Radio Testbed For 5g And L-Band Radiometer Coexistence Research, Walaa Al-Qwider, Ahmed Manavi Alam, Md Mehedi Farhad, Mehmet Kurum, Ali C. Gurbuz, Vuk Marojevic
  • SDR Based Agile Radiometer With Onboard RFI Processing On A Small UAS, Md Mehedi Farhad, Sabyasachi Biswas, A. M. Alam, Ali C. Gurbuz, Mehmet Kurum
  • High-Resolution Radio Frequency Interference Detection In Microwave Radiometry Using Deep Learning, Ahmed Manavi Alam, Mehmet Kurum, Ali Gurbuz
  • Fusing Sentinel-1 With Cygnss To Account For Vegetation Effects In Soil Moisture Retrievals, Ege Bozdag, Volkan Senyurek, M.M. Nabi, Mehmet Kurum, Ali Gurbuz
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]]><![CDATA[Dr. Gurbuz and Dr. Kurum organized a special session on Passive/Active Coexistence at IGARSS]]>Tue, 18 Jul 2023 07:00:00 GMThttps://www.alicafergurbuz.org/news/dr-gurbuz-and-dr-kurum-organized-a-special-session-on-passiveactive-coexistence-at-igarss
Dr. Ali Gurbuz and Dr. Mehmet Kurum organized a special session on "Coexistence of Communication and Passive Sensing Technologies" at IGARSS 2023, Pasadena, CA. Thanks to all the contributing authors and the presenters. You may reach the list of papers in the special session from here. ​
]]><![CDATA[IMPRESS presented SWIFT project outcomes at AERPAW workshop]]>Thu, 11 May 2023 07:00:00 GMThttps://www.alicafergurbuz.org/news/impress-presented-swift-project-outcomes-at-aerpaw-workshop
IMPRESS Lab Ph.D. Student Ahmed Manavi Alam has presented the  NSF funded SWIFT project Lightning Talk at the AERPAW workshop at North Carolina State University. We are developing testbed systems and algorithms to enable coexistence between active communication and passive radio services.

Thanks to Dr. Ismail Guvenc and others at AERPAW for organizing the workshop.
]]><![CDATA[IMPRESS Lab presented 2 papers at IEEE Radar Conference]]>Tue, 02 May 2023 07:00:00 GMThttps://www.alicafergurbuz.org/news/impress-lab-presented-at-ieee-radarcon
IMPRESS Lab PhD student Sabyasachi Biswas presented the two papers at the IEEE Radar Conference held in San Antonio, TX.  ​
  • Classification of Traffic Signaling Motion in Automotive Applications Using FMCW Radar, S. Biswas, B. Bartlett, J. E. Ball and A. C. Gurbuz
  • Complex SincNet for More Interpretable Radar Based Activity Recognition, S. Biswas, C. O. Ayna, S. Z. Gurbuz and A. C. Gurbuz
]]><![CDATA[IMPRESS showcased research outcomes at MSU Research Week]]>Wed, 12 Apr 2023 07:00:00 GMThttps://www.alicafergurbuz.org/news/impress-showcased-research-outcomes-at-msu-research-weekIMPRESS Lab demonstrated our ground and UAS systems, sensors, and research outcomes at MSU Research Week to the general public and the students. Check out the news about our activity and my PhD student Mehedi Farhad's interview here
]]><![CDATA[Dr. Mehmet Ogut from NASA JPL visited IMPRESS Lab and deliver a seminar]]>Mon, 23 Jan 2023 08:00:00 GMThttps://www.alicafergurbuz.org/news/dr-mehmet-ogut-from-nasa-jpl-visited-impress-lab-and-deliver-a-seminar
Dr. Mehmet Ogut from NASA Jet Propulsion Laboratory visited IMPRESS lab at Mississippi State University and deliver a research seminar titled "Enabling Space Exploration by Autonomous Smart Microwave Radiometers Onboard Small Satellites." 

We discussed next-generation microwave and millimeter-wave remote sensing instruments, including ultra-wideband spectro-radiometers, and novel techniques for instrument calibration, including Artificial Intelligence.  More info about the seminar and Dr. Ogut can be found here. 
]]><![CDATA[IMPRESS Lab student S. Biswas was 1st at MSU Graduate Research Symposium]]>Sat, 22 Oct 2022 07:00:00 GMThttps://www.alicafergurbuz.org/news/impress-lab-student-s-biswas-was-1st-at-msu-graduate-research-symposium
IMPRESS Lab student Sabyasachi Biswas  was the 1st place winner of the Fall 2022 Graduate Research Symposium for his poster presentation in Engineering - PhD category. 

​Sabya presented his work on complex sinc-filter based time-frequency domain activity recognition.
]]><![CDATA[Dr. Gurbuz gave 2 invited talks to IEEE MS Section and Temple University]]>Fri, 22 Jul 2022 07:00:00 GMThttps://www.alicafergurbuz.org/news/dr-gurbuz-gave-2-invited-talks-to-ieee-ms-section-and-temple-university
Dr. Gurbuz recently gave two invited talks:
  • IEEE Mississippi Section, "From Big Data to Smart Data: Learning to Acquire Task Driven Measurements", 22 July 2022
  • Temple University College of Engineering, Spring Seminar Series, “Learning to Sense: Task Oriented Data Driven Inference”, April 6, 2022
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