Sevgi Zubeyde Gurbuz

Radar for e-Health

In M. I. Skolnik, G. A. Fabrizio, & G. Fulvio (Eds.), The Radar Handbook (4th ed.). McGraw-Hill.

CAD Model Guided Semantic Segmentation for Radar Micro-UAV Signature Synthesis Across Different Clutter Environments

Compact drone-compatible platform for polarimetric time-of-flight underwater imaging

(W. Hou, L. J. Mullen, & J. Jackson, Eds.).

Comparison of RF Human Skeleton Estimation using Kinematic Cycle Consistency

End-to-end underwater object recognition using multipolarization image fusion with single-photon LiDAR

(L. L. Grewe, E. P. Blasch, & I. Kadar, Eds.).

Foreword to the Special Section on AI Approaches for Radar Processing and Applications

Fioranelli, F., Ram, S. S., Kernec, J. L., & Gurbuz, S. (2025, January 1). IEEE Transactions on Radar Systems, Vol. 3, pp. 1243–1256.

Gesture-based Human-in-the-Loop Interaction with Fully-Adaptive Radar

Guided super-resolution of time-of-flight imaging using multimodal deep learning

(N. Kehtarnavaz & M. V. Shirvaikar, Eds.).

Human-Centered Fully Adaptive Radar for Gesture Recognition in Smart Environments

Kurtoğlu, E., & Gurbuz, S. Z. (2025, August 15). IEEE Transactions on Human-Machine Systems, Vol. 8.

Leveraging Cellular ISAC and Passive RF Sensing for UAV Detection and Tracking

IEEE Asilomar Conference on Signals, Systems and Computers. Presented at the IEEE Asilomar Conference on Signals, Systems and Computers.

Modality-specific Benchmarks and Radar Range-Doppler Envelope Classification for Multimodal Isolated Sign Language Recognition

Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 4987–4994.

Mueller matrix based imaging enabled by polarization demultiplexing metasurfaces

(N. K. Dhar, A. K. Dutta, & S. R. Babu, Eds.).

RF-ChessSIGN: Radar-enabled Human-Computer Interaction in a Real-Time Sign Language-Controlled Game

IEEE/CVF International Conference on Computer Vision (ICCV), 4941–4951. https://openaccess.thecvf.com/content/ICCV2025W/MSLR/html/Dehaan_RF-ChessSIGN_Radar-enabled_Human-Computer_Interaction_in_a_Real-Time_Sign_Language-Controlled_Game_ICCVW_2025_paper.html

Radar-Based Online Learning of Human Skeleton Keypoints Without Any Prior Real Data

Semantic Segmentation Guided RF Micro-Doppler Synthesis and UAV Classification in Low SINR

The SignEval 2025 Challenge at the ICCV Multimodal Sign Language Recognition Workshop: Results and Discussion

Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 5027–5036. Workshops.

Capturing motion: Using radar to build better sign language corpora

The Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING). Presented at the Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), Torino, Italy.

Characterizing metasurfaces for polarization demultiplexing: an imaging reconstruction using Stokes parameters

(N. K. Dhar, A. K. Dutta, & S. R. Babu, Eds.).

Comparison Between Wi-Fi-CSI and Radar-Based HAR

Ethogram-Based Personalization of Human Activity and Agility from Radar $\mu \mathrm{D}$ Signatures

Gamification of RF Data Acquisition for Classification of Natural Human Gestures

Guest Editorial for the TAES Special Section on Deep Learning for Radar Applications

IEEE Transactions on Aerospace and Electronic Systems, 60(1), 4–7.

Guest Editorial: Advances in AI‐assisted radar sensing applications

IET Radar, Sonar & Navigation, 18(2), 235–238.

Illuminating depth: polarimetric time-of-flight sensing with single-photon counting imager

(D. B. Chenault, M. K. Kupinski, & B. M. Ratliff, Eds.).

Interactive learning of natural sign language with radar

Kurtoğlu, E., DeHaan, K., Pezzarossi, C. K., Griffin, D. J., Crawford, C., & Gurbuz, S. Z. (2024, May 10). IET Radar Sonar & Navigation.

Kinematic Cycle Consistency Using Wearables and RF Data for Improved Human Skeleton Estimation

Multi-polarization laser image fusion for improved underwater object recognition

(M. D. Turner, G. W. Kamerman, & L. A. Magruder, Eds.).

Overview of Radar-Based Gait Parameter Estimation Techniques for Fall Risk Assessment

Gurbuz, S. Z., Rahman, M. M., Bassiri, Z., & Martelli, D. (2024, January 1). IEEE Open Journal of Engineering in Medicine and Biology.

RF sensing of personalized mobility: accounting for temporal variability in ethogram-based classification

(A. S. Hedden & G. J. Mazzaro, Eds.).

Radar Based Joint Human Activity and Agility Recognition via Multi Input Multi Task Learning

Robustness analysis of Wi-Fi-based human activity recognition

(P. P. Markopoulos, Ed.).

Validation of a micro-doppler radar for measuring gait modifications during multidirectional visual perturbations

Martelli, D., Rahman, M. M., & Gurbuz, S. Z. (2024, August 22). Gait & Posture.

Boosting multi‐target recognition performance with multi‐input multi‐output radar‐based angular subspace projection and multi‐view deep neural network

IET Radar, Sonar & Navigation, 17(7), 1115–1128.

CV-SincNet: Learning Complex Sinc Filters From Raw Radar Data for Computationally Efficient Human Motion Recognition

IEEE Transactions on Radar Systems, 1, 493–504.

Complex SincNet for More Interpretable Radar Based Activity Recognition

Biswas, S., Ayna, C. O., Gurbuz, S. Z., & Gurbuz, A. C. (2023, May 1). Proceedings of the IEEE Radar Conference.

Edge detection metrics for improved object recognition with underwater laser images

Adeoluwa, O., Gurbuz, S. Z., Moseley, C., Swakshar, A., Kung, P., & Kim, S. M. (2023, June 12). Proceedings of SPIE - The International Society for Optical Engineering, Vol. 12543.

Evaluation of Laser Image Enhancement and Restoration for Underwater Object Recognition

Adeoluwa, O. O., Moseley, C. D., Kim, S. M., Kung, P., & Gurbuz, S. Z. (2023, September 12). IEEE Sensors Journal, Vol. 23, pp. 26136–26153.

Guest Editorial Special Issue on Sensing and Machine Learning for Automotive Perception

Santra, A., Pandharipande, A., Wang, P. P., Gurbuz, S. Z., Ibanez-Guzman, J., Cheng, C.-H., … Li, G. (2023, May 31). IEEE Sensors Journal, Vol. 23, p. 11116.

Influence of Radar Signal Processing on Deep Learning-based Classification

Kearney, S., & Gurbuz, S. Z. (2023, May 1). Proceedings of the IEEE Radar Conference.

Integrating AI into Radar System Design: Next-Generation Cognitive Radars

Interactive RF Game Design for Deciphering Real-World Human Motion: Activities, Gestures, and Sign Language

Gurbuz, S. Z., Crawford, C., Griffin, D. J., Kurtoglu, E., Adeoluwa, O., & Haeker, J. (2023, May 1). Proceedings of the IEEE Radar Conference.

Polarization de-multiplexing metasurface-based polarimetric imaging with time of flight multi-pixel imager

(N. K. Dhar, A. K. Dutta, & S. R. Babu, Eds.).

Radar-Based Human Skeleton Estimation with CNN-LSTM Network Trained with Limited Data

Rahman, M. M., Martelli, D., & Gurbuz, S. Z. (2023, October 15). BHI 2023 - IEEE-EMBS International Conference on Biomedical and Health Informatics, Proceedings.

Self-Supervised Contrastive Learning for Radar-Based Human Activity Recognition

Rahman, M. M., & Gurbuz, S. Z. (2023, May 1). Proceedings of the IEEE Radar Conference.

Sensing and Machine Learning for Automotive Perception: A Review

Pandharipande, A., Cheng, C.-H., Dauwels, J., Gurbuz, S. Z., Ibanez-Guzman, J., Li, G., … Santra, A. (2023, March 30). IEEE Sensors Journal, Vol. 23, pp. 11097–11115.

The role of neural networks in cognitive radar

Complexity in sign languages

Malaia, E. A., Borneman, J. D., Kurtoglu, E., Gurbuz, S. Z., Griffin, D., Crawford, C., & Gurbuz, A. C. (2022, October 28). Linguistics Vanguard, Vol. 9, pp. 121–131.

Continuous Human Activity Recognition and Step-Time Variability Analysis with FMCW Radar

Gurbuz, S. Z., Rahman, M. M., Kurtoglu, E., & Martelli, D. (2022, September 27). 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).

Effect of Kinematics and Fluency in Adversarial Synthetic Data Generation for ASL Recognition With RF Sensors

Rahman, M. M., Malaia, E. A., Gurbuz, A. C., Griffin, D. J., Crawford, C., & Gurbuz, S. Z. (2022, January 4). IEEE Transactions on Aerospace and Electronic Systems, Vol. 58, pp. 2732–2745.

Gait Variability Analysis with Multi-Channel FMCW Radar for Fall Risk Assessment

Rahman, M. M., Martelli, D., & Gurbuz, S. Z. (2022, June 20). Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop, pp. 345–349.

Gait variability analysis using continuous RF data streams of human activity

Gurbuz, S. Z., Kurtoglu, E., Rahman, M. M., & Martelli, D. (2022, October 3). Smart Health, Vol. 26.

Local Detection of OLTC Operation to Support Decentralized Control of Active End-Nodes

Ucer, E., Kurtoglu, E., Kisacikoglu, M., Gurbuz, A. C., & Gurbuz, S. Z. (2022, July 17). 2022 IEEE Power &Amp; Energy Society General Meeting (PESGM).

Performance Comparison of Radar and Video for American Sign Language Recognition

Rahman, M. M., Kurtoglu, E., Taskin, M., Esme, K., Gurbuz, A. C., Malaia, E., & Gurbuz, S. Z. (2022, March 21). 2022 IEEE Radar Conference (RadarConf22).

Physics-Aware Generative Adversarial Networks for Radar-Based Human Activity Recognition

Rahman, M. M., Gurbuz, S. Z., & Amin, M. G. (2022, November 10). IEEE Transactions on Aerospace and Electronic Systems, Vol. 59, pp. 2994–3008.

RF Micro-Doppler Classification with Multiple Spectrograms from Angular Subspace Projections

Kurtoglu, E., Gurbuz, A. C., Malaia, E., Griffin, D., Crawford, C., & Gurbuz, S. Z. (2022, March 21). 2022 IEEE Radar Conference (RadarConf22).

Radar-based methods and apparatus for communication and interpretation of sign languages

(Patent No. US11301672B2).

ASL Trigger Recognition in Mixed Activity/Signing Sequences for RF Sensor-Based User Interfaces

Kurtoglu, E., Gurbuz, A. C., Malaia, E. A., Griffin, D., Crawford, C., & Gurbuz, S. Z. (2021, December 22). IEEE Transactions on Human-Machine Systems, Vol. 52, pp. 699–712.

ASL Trigger Recognition in Mixed Activity/Signing Sequences for RF\n Sensor-Based User Interfaces

Kurtoglu, E., Gurbuz, A. C., Malaia, E. A., Griffin, D., Crawford, C., & Gurbuz, S. Z. (2021, November 9). ArXiv (Cornell University).

ASL trigger recognition in mixed activity/signing sequences for RF sensor-based user interfaces

ArXiv. http://www.scopus.com/inward/record.url?eid=2-s2.0-85119573638&partnerID=MN8TOARS

American Sign Language Recognition Using RF Sensing

IEEE Sensors Journal, 21(3), 3763–3775.

Effect of Kinematics and Fluency in Adversarial Synthetic Data Generation for ASL Recognition with RF Sensors

Rahman, M. M., Malaia, E., Gurbuz, A. C., Griffin, D. J., Crawford, C., & Gurbuz, S. Z. (2021, December 31). ArXiv (Cornell University).

Effect of Kinematics and Fluency in Adversarial Synthetic Data Generation for ASL Recognition with RF Sensors

ArXiv. http://www.scopus.com/inward/record.url?eid=2-s2.0-85122605790&partnerID=MN8TOARS

Epilogue: Looking toward the future

In Deep Neural Network Design for Radar Applications (pp. 389–390). http://www.scopus.com/inward/record.url?eid=2-s2.0-85114580390&partnerID=MN8TOARS

Kinematic and linguistic interpretation of human motion via RF signal analysis

In New Methodologies for Understanding Radar Data (pp. 437–467). http://www.scopus.com/inward/record.url?eid=2-s2.0-85136422043&partnerID=MN8TOARS

Multi-Frequency RF Sensor Data Adaptation for Motion Recognition with Multi-Modal Deep Learning

Rahman, M. M., & Gurbuz, S. Z. (2021, May 7). IEEE National Radar Conference - Proceedings.

Multi-Frequency RF Sensor Fusion for Word-Level Fluent ASL Recognition

Gurbuz, S. Z., Rahman, M. M., Kurtoglu, E., Malaia, E., Gurbuz, A. C., Griffin, D. J., & Crawford, C. (2021, May 7). IEEE Sensors Journal, Vol. 22, pp. 11373–11381.

Near real-time ASL recognition using a millimeter wave radar

Adeoluwa, O., Kearney, S. J., Kurtoglu, E., Connors, C., & Gurbuz, S. Z. (2021, April 9). Proceedings of SPIE - The International Society for Optical Engineering, Vol. 11742.

Open Radar Initiative: Large Scale Dataset for Benchmarking of micro-Doppler Recognition Algorithms

Gusland, D., Christiansen, J. M., Torvik, B., Fioranelli, F., Gurbuz, S. Z., & Ritchie, M. (2021, May 7). IEEE National Radar Conference - Proceedings.

Physics-Aware Design of Multi-Branch GAN for Human RF Micro-Doppler Signature Synthesis

Rahman, M. M., Gurbuz, S. Z., & Amin, M. G. (2021, May 7). IEEE National Radar Conference - Proceedings.

Sequential Classification of ASL Signs in the Context of Daily Living Using RF Sensing

Kurtoglu, E., Gurbuz, A. C., Malaia, E., Griffin, D., Crawford, C., & Gurbuz, S. Z. (2021, May 7). IEEE National Radar Conference - Proceedings.

Word-Level ASL Recognition and Trigger Sign Detection with RF Sensors

Rahman, M. M., Kurtoglu, E., Mdrafi, R., Gurbuz, A. C., Malaia, E., Crawford, C., … Gurbuz, S. Z. (2021, May 13). ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 8233–8237.

Word-level Sign Language Recognition Using Linguistic Adaptation of 77 GHz FMCW Radar Data

Rahman, M. M., Mdrafi, R., Gurbuz, A. C., Malaia, E., Crawford, C., Griffin, D., & Gurbuz, S. Z. (2021, May 7). IEEE National Radar Conference - Proceedings.

3D scene reconstruction from multi-sensor EO-SAR data

Aksu, R., Rahman, M. M., & Gurbuz, S. Z. (2020, April 27). Proceedings of SPIE - The International Society for Optical Engineering, Vol. 11393.

A Linguistic Perspective on Radar Micro-Doppler Analysis of American Sign Language

Gurbuz, S. Z., Gurbuz, A. C., Malaia, E. A., Griffin, D. J., Crawford, C., Rahman, M. M., … Ozcelik, E. (2020, April 1). 2020 IEEE International Radar Conference, RADAR 2020, pp. 232–237.

ASL Recognition Based on Kinematics Derived from a Multi-Frequency RF Sensor Network

Gurbuz, S. Z., Gurbuz, A. C., Malaia, E. A., Griffin, D. J., Crawford, C., Kurtoglu, E., … Mdrafi, R. (2020, October 25). Proceedings of IEEE Sensors.

Airborne Dual-Band Microwave Radar System for Snow Thickness Measurement

Taylor, D., Yan, S., O'Neill, C., Gogineni, P., Gurbuz, S., Aslan, B., … Higgs, M. K. (2020, September 26). International Geoscience and Remote Sensing Symposium (IGARSS), pp. 2934–2937.

American Sign Language Recognition Using RF Sensing

Gurbuz, S. Z., Gurbuz, A. C., Malaia, E. A., Griffin, D. J., Crawford, C., Rahman, M. M., … Mdrafi, R. (2020, January 1). ArXiv (Cornell University).

American Sign Language recognition using RF sensing

ArXiv. http://www.scopus.com/inward/record.url?eid=2-s2.0-85098396846&partnerID=MN8TOARS

Application of deep learning to radar remote sensing

Rogers, J., Cagle, L., Ball, J. E., Kurum, M., & Gurbuz, S. Z. (2020, December 1). Institution of Engineering and Technology EBooks, pp. 355–388.

Challenges in training DNNs for classification of radar micro-Doppler signatures

Gurbuz, S. Z., Amin, M. G., Seyfioglu, M. S., & Erol, B. (2020, December 1). Institution of Engineering and Technology EBooks, pp. 123–161.

Cross-frequency training with adversarial learning for radar micro-Doppler signature classification (Rising Researcher)

Gurbuz, S. Z., Rahman, M. M., Kurtoglu, E., Macks, T., & Fioranelli, F. (2020, April 27). Proceedings of SPIE - The International Society for Optical Engineering, Vol. 11408.

Deep Neural Network Design for Radar Applications

Gurbuz, S. Z. (2020, December 1). Institution of Engineering and Technology EBooks, pp. 1–400.

Deep neural networks for radar micro-doppler signature classification

In Micro-Doppler Radar and its Applications (pp. 103–136). http://www.scopus.com/inward/record.url?eid=2-s2.0-85115732356&partnerID=MN8TOARS

Distributed Radar Information Fusion for Gait Recognition and Fall Detection

Li, H., Kernec, J., Mehul, A., Gurbuz, S. Z., & Fioranelli, F. (2020, September 21). IEEE National Radar Conference - Proceedings.

Exploitation of motion capture data for improved synthetic micro-doppler signature generation with adversarial learning

Erol, B., Gurbuz, S. Z., & Amin, M. G. (2020, April 27). Proceedings of SPIE - The International Society for Optical Engineering, Vol. 11395.

Motion Classification Using Kinematically Sifted ACGAN-Synthesized Radar Micro-Doppler Signatures

IEEE Transactions on Aerospace and Electronic Systems, 56(4), 3197–3213.

Motion Classification using Kinematically Sifted ACGAN-Synthesized Radar\n Micro-Doppler Signatures

Erol, B., Gurbuz, S. Z., & Amin, M. G. (2020, January 19). ArXiv (Cornell University).

Neural Networks & Machine Learning in Cognitive Radar

Smith, G. E., Gurbuz, S. Z., Bruggenwirth, S., & John-Baptiste, P. (2020, September 21). IEEE National Radar Conference - Proceedings.

Prologue: perspectives on deep learning of RF data

Gurbuz, S. Z., & Mason, E. S. (2020, December 1). Institution of Engineering and Technology EBooks, pp. 1–8.

Radar systems, signals, and phenomenology

Gurbuz, S. Z., Sun, S., & Tahmoush, D. (2020, December 1). Institution of Engineering and Technology EBooks, pp. 11–42.

Sequential Human Gait Classification With Distributed Radar Sensor Fusion

Li, H., Mehul, A., Kernec, J. L., Gurbuz, S. Z., & Fioranelli, F. (2020, December 24). IEEE Sensors Journal, Vol. 21, pp. 7590–7603.

Synthesis of Micro-Doppler Signatures for Abnormal Gait using Multi-branch Discriminator with Embedded Kinematics

Erol, B., Gurbuz, S. Z., & Amin, M. G. (2020, April 1). 2020 IEEE International Radar Conference, RADAR 2020, pp. 175–179.

A Prototype Ultra-Wideband FMCW Radar for Snow and Soil-Moisture Measurements

Taylor, R. A., Braaten, D., Tsutaki, S., Abe-Ouchi, A., Fujita, S., Kawamura, K., … Carswell, J. (2019, July 1). International Geoscience and Remote Sensing Symposium (IGARSS), pp. 3974–3977.

An Overview of Cognitive Radar: Past, Present, and Future

Gurbuz, S. Z., Griffiths, H. D., Charlish, A., Rangaswamy, M., Greco, M. S., & Bell, K. (2019, December 1). IEEE Aerospace and Electronic Systems Magazine, Vol. 34, pp. 6–18.