[2024-Ongoing] Wearable System Architecture

• Architected sensing systems for intelligent ambient sensing.

• Defined sensing theory of operations and requirements.

• Led cross-functional sensing HW and SW developments.

• Managed system development from prototype to product.

• Assessed critical emerging technologies for future products.

[2021-2024]   Autonomous System Architecture

• Architected sensing systems for higher level autonomy.

• Defined sensing theory of operations and requirements.

• Led cross-functional sensing HW and SW developments.

• Managed system development from prototype to product.

• Assessed critical emerging technologies for future products.

[2017-2021] Autonomous Driving & ADAS

• Detecting and Classifying Anomalies in Artificial Intelligence Systems, US20220327389A1 (US Patent), WO2021046300A1(WIPO Patent).

• Variance of Gradient based Active Learning Framework for Training Perception Algorithms,  US12079738B2 (US Patent), DE102022102929A1 (Germant Patent), CN114943264A (China Patent).

• Traffic Sign Detection Dataset - Partially Simulated: https://youtu.be/8V1LcpDlmjA

• Traffic Sign Detection Dataset - Fully Simulated: https://youtu.be/bKnlJ_EWS8Q

• D. Temel, M-H. Chen, and G. AlRegib, “Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics,” the IEEE Transactions on Intelligent Transportation Systems, 2019, [Dataset], [GitHub], [arXiv].

• D. Temel, T. AlShawi, M-H. Chen, and G. AlRegib, “Challenging Environments for Traffic Sign Detection: Reliability Assessment under Inclement Condition,” February 2019, [Dataset], [GitHub], [arXiv].

• D. Temel and G. AlRegib, “Traffic Signs in the Wild: Highlights from the IEEE Video and Image Processing Cup 2017 Student Competition [SP Competitions],” in IEEE Signal Processing Magazine, vol. 35, no. 2, pp. 154-161, March 2018, [Dataset], [GitHub], [arXiv].

• G. Kwon, M. Prabhushankar, D. Temel, and G. AlRegib, “Backpropagated Gradient Representations for Anomaly Detection ,” the European Conference on Computer Vision

• C. Lehman, D. Temel, and G.AlRegib, “On The Structures of Representation for The Robustness of Semantic Segmentation to Input Corruption,” the IEEE International Conference on Image Processing, 2020, [IEEE], [GitHub].

• C. Lehman, D. Temel, and G. AlRegib, “Implicit Background Estimation for Semantic Segmentation,” the IEEE International Conference on Image Processing, Taipei, Taiwan, September 2019, [GitHub], [arXiv].

• D.Temel, G. Kwon, M. Prabhushankar, and G. AlRegib, “CURE-TSR: Challenging Unreal and Real Environments for Traffic Sign Recognition,” 31st Conference on Neural Information Processing Systems (NeurIPS), Machine Learning for Intelligent Transportation Systems Workshop, Long Beach, CA, USA, 2017, [Dataset], [GitHub], [arXiv].

[2017-2021] Ophthalmic Lab-On-A-Headset

• Ocular Monitoring Headset Patent:  US11185224B2 (US Patent).

• Transfer Learning for Medical Applications Using Limited Data: US12159229B2 (US Patent), WO2020243460A1 (WIPO).

• D. Temel, M. J. Mathew, G. AlRegib, and Y. M. Khalifa, “Automated Relative Afferent Pupillary Defect Screening in a Controlled Environment,” the IEEE Journal of Biomedical and Health Informatics, March 2020, [GitHub], [arXiv], Selected as the Cover of the Journal.

• D. Temel, M. J. Mathew, G. AlRegib, and Y. M. Khalifa, “Automated Papillary Light Reflex Assessment on a Portable Platform,” the IEEE International Symposium on Medical Robotics, Atlanta, GA, April 2019, [GitHub], [arXiv].

 [2012-2016] Image Quality Assessment

• D. Temel and G. AlRegib, “Perceptual Image Quality Assessment through Spectral Analysis of Error Representations ,” Signal Processing: Image Communication, Volume 70, 2019, Pages 37-46, [GitHub], [arXiv]

• D. Temel and G. AlRegib, “CSV: Image quality assessment based on color, structure, and visual system,” Signal Processing: Image Communication, vol. 48, pp. 92-103, October 2016, [GitHub], [arXiv].

• D. Temel, M. Prabhushankar and G. AlRegib, “UNIQUE: Unsupervised Image Quality Estimation”, the IEEE Signal Processing Letters , vol.23, no.10, pp.1414-1418, [GitHub], [arXiv]

• M. Prabhushankar, D. Temel, and G. AlRegib, “Generating Adaptive and Robust Filter Sets Using an Unsupervised Learning Framework”, the IEEE International Conference on Image Processing, Beijing, China, Sept. 17 – Sept. 20, 2017, [GitHub], [arXiv].

• M. Prabhushankar, D. Temel, and G. AlRegib, “MS-UNIQUE: Multi-model and Sharpness-weighted Unsupervised Image Quality Estimation”, the Electronic Imaging, Image Quality and System Performance XIV, Burlingame, California, USA, Jan. 29 – Feb. 2, 2017, [GitHub], [arXiv].

• D. Temel and G. AlRegib, “Boosting in Image Quality Assessment”, the IEEE Workshop on Multimedia Signal Processing, Montreal, Canada, September 21-23, 2016, [GitHub], [arXiv].

• D. Temel and G. AlRegib, “ReSIFT: Reliability-weighted SIFT-based Image Quality Assessment”, the IEEE International Conference on Image Processing, Phoenix, Arizona, USA, Sep. 25-28, 2016, [GitHub], [arXiv].

• D. Temel and G. AlRegib, “BLeSS: Bio-inspired Low-level Spatiochromatic Similarity Assisted Image Quality Assessment “, the IEEE International Conference on Multimedia and Expo , Seattle, USA, Jul. 11-15, 2016, [GitHub], [arXiv].

• J. Sogaard, L. Krasula, M. Shahid, D. Temel, K. Brunnstorm, and M. Razaak, “Applicability of Existing Objective Metrics of Perceptually Quality for Adaptive Video Streaming,” Image Quality and System Performance – EI, San Francisco, Feb. 14-18, 2016. [Imaging].

• D. Temel and G. AlRegib, “A Comparative Study of Quality and Content-based Spatial Pooling Strategies in Image Quality Assessment,” the 3rd IEEE Global Conference on Signal and Information Processing , Orlando, Florida, Dec. 14-16, 2015, [GitHub], [arXiv].

• D. Temel and G. AlRegib, “PerSIM: Multi-Resolution Image Quality Assessment in the Perceptually Uniform Color Domain,” in the Proceedings of the IEEE International Conference on Image Processing ,Quebec, Canada, Sept. 27-30, 2015, [GitHub], [arXiv].

• D. Temel and G. AlRegib, “Image Quality Assessment and Color Difference,” in the Proceedings of the 2nd IEEE Global Conference on Signal and Information Processing, Atlanta, USA, Dec. 3-5, 2014, [GitHub], [arXiv].

• D. Temel and G. AlRegib, “A Comparative Study of Computational Aesthetics,” in the Proceedings of the IEEE International Conference on Image Processing, Paris, France, Oct. 27-30, 2014, [arXiv].

[2015-2016] Heart Rate Monitoring

• C13. H. Pan, D.Temel and G. AlRegib, “HeartBEAT: Heart Beat Estimation through Adaptive Tracking”, IEEE International Conference on Biomedical and Health Informatics, Las Vegas, Feb 24th-27th, 2016, [GitHub], [arXiv].

[2013-2014] Seismic Interpretation

• Z. Wang, D. Temel and G. AlRegib, “Fault Detection Using Color Blending and Color Transformations,” in the Proceedings of the 2nd IEEE Global Conference on Signal and Information Processing, Atlanta, USA, Dec. 3-5, 2014, [GitHub], [arXiv].

 [2012-2013] 3D Quality & Streaming

• D. Temel and G. AlRegib, “Coding of 3D Videos based on Visual Discomfort,” in the Proceedings of the the 47th Asilomar Conference on Signals, Systems and Computers ,Pacific Grove, CA, Nov. 3-6, 2013, [arXiv].

• D. Temel, Q. Lin, G. Zhang and G. AlRegib, ” Modified Weak Fusion Model for Depthless Streaming of 3D Videos,” in the Proceedings of the IEEE International Workshop on Hot Topics in 3D, San Jose, CA, July. 19, 2013, [IEEE].

• D. Temel and G. AlRegib, “Effectiveness of 3VQM in Capturing Depth Inconsistencies,” in the Proceedings of the 11th IEEE IVMSP Workshop : 3D Image/Video Technologies and Applications , Seoul, Korea, Jun. 10-12, 2013, [arXiv].

• D. Temel, M. Aabed, M. Solh and G. AlRegib, “Efficient Streaming of Stereoscopic Depth-Based 3D Videos,” in the Proceedings of the Visual Information Processing and Communication IV, SPIE Electronic Imaging, San Francisco, US, Feb. 3-7, 2013, [SPIE].

• M. Aabed, D. Temel, and G. AlRegib, “Depth Map Estimation in DIBR Stereoscopic 3D Videos Using a Combination of Monocular Cues,” in the Proceedings of the 46th Asilomar Conference on Signals and Systems, CA, Nov. 4-7, 2012. 

• D. Temel and G. AlRegib, “Depthless Streaming of Depth-Based 3D Videos,” in the Proceedings of the IEEE International Workshop on Multimedia Signal Processing (MMSP 2012), Banff, Canada, Sept. 17-19, 2012.

[2011-2012] Smart TV User Interface

• No technical publications due to confidentiality

• $9M Smart TV project between Korea and US

• Funded by Korean Industrial Tech Foundation

• Bumblebee and Kinect sensors used for demo

• CV-based gesture recognition for user control

• Link: https://www.newswise.com/articles/korean-government-and-georgia-tech-form-partnership