Activities

UPCOMING ACTIVITIES

28 March 2019: IEEE-MTT Distinguished Lecturer Seminar by Prof. Walid Ali-Ahmad

Topic: “Advanced RF FrontEnd and Transceiver Systems Design Overview for Carrier Aggregation based 4G/5G Radios”

Location: Sabancı University, İstanbul, Turkey

 

29 March 2019: IEEE-MTT Distinguished Lecturer Seminar by Prof. Walid Ali-Ahmad

Topic: “Advanced RF FrontEnd and Transceiver Systems Design Overview for Carrier Aggregation based 4G/5G Radios”

Location: Middle East Technical University, Ankara, Turkey

 

05 April 2019 (13:40):  IEEE AP/MTT/EMC/ED Turkey Seminar Series (S.47)

Speaker: Prof. Abdullah Atalar, Bilkent University

Topic: “Research Ethics”

Location: Middle East Technical University, Ankara, Turkey

 

12 April 2019 (13:40):  IEEE AP/MTT/EMC/ED Turkey Seminar Series (S.48)

Speaker: Assoc. Prof. Melda Yüksel, TOBB-ETÜ

Topic: TBD

Location: Middle East Technical University, Ankara, Turkey

 

19 April 2019 (13:40):  IEEE AP/MTT/EMC/ED Turkey Seminar Series (S.49)

Speaker: Assoc. Prof. Uluç Saranlı, Middle East Technical University

Topic: TBD

Location: Middle East Technical University, Ankara, Turkey

 

26 April 2019 (13:40):  IEEE AP/MTT/EMC/ED Turkey Seminar Series (S.50)

Speaker: Dr. Ali Bayramoğlu

Topic: TBD

Location: Middle East Technical University, Ankara, Turkey

 

17 May 2019 (13:40):  IEEE AP/MTT/EMC/ED Turkey Seminar Series (S.51)

Speaker: Prof. F. Ömer İlday, Bilkent University

Topic: “Towards atomic-scale 3D printing through nonlinear feedback-driven laser-material interactions

Location: Middle East Technical University, Ankara, Turkey

 

LATEST ACTIVITIES

22 March 2019: IEEE-MTT Distinguished Lecturer Seminar by Dr. Markus Gardill

Topic: “Automotive Radar – A Signal Processing Perspective on Current Technology and Future Systems”

Location: Middle East Technical University, Ankara, Turkey

vTools Link: https://events.vtools.ieee.org/m/196426

 

15 March 2019 (13:00):  IEEE AP/MTT/EMC/ED Turkey Seminar Series (S.46)

Speaker: Assoc. Prof. Selim Aksoy, Bilkent University

Topic: “Weakly Supervised Learning Algorithms for Medical Imaging and Remote Sensing Applications”

Location: Middle East Technical University, Ankara, Turkey

Abstract: Learning classifiers from large image sets has been a popular problem in computer vision and machine learning. The commonly employed supervised learning framework typically uses manually selected image patches with no ambiguity regarding their class labels. However, collecting sufficiently large number of examples for classes with high within-class variance and low between-class variance is not always possible. We will present weakly supervised learning algorithms for object recognition and image classification tasks in medical imaging and remote sensing applications with data sets having both localization and labeling uncertainties.

Bio: Dr. Selim Aksoy received the B.S. degree from Middle East Technical University in 1996, and the M.S. and Ph.D. degrees from the University of Washington, Seattle, USA, in 1998 and 2001, respectively. Since 2004, he has been with the Department of Computer Engineering, Bilkent University, where he is currently an Associate Professor. He spent 2013 as a Visiting Associate Professor at the Department of Computer Science & Engineering, University of Washington. His research interests include computer vision, pattern recognition, and machine learning with applications to remote sensing and medical imaging. He received the Research Incentive Award from the Prof. Dr. Mustafa Parlar Foundation in 2016, the BAGEP Young Scientist Award from the Science Academy Association in 2016, the GEBIP Outstanding Young Scientist Award from the Turkish Academy of Sciences in 2015, the Distinguished Teaching Award from Bilkent University in 2014, a Fulbright Scholarship in 2013, a Marie Curie Fellowship from the European Commission in 2005, and the CAREER Award from the Scientific and Technological Research Council of Turkey (TUBITAK) in 2004. He served as an Associate Editor of Pattern Recognition Letters during 2009-2013.

vTools Link: https://events.vtools.ieee.org/m/196423

 

08 March 2019 (13:40):  IEEE AP/MTT/EMC/ED Turkey Seminar Series (S.45)

Speaker: Assoc. Prof. Tolga Çukur, Bilkent University

Topic: “Rapid, Comprehensive, High-Resolution MR Imaging: From Sparse Recovery to Machine Learning”

Location: Middle East Technical University, Ankara, Turkey

Abstract: MRI offers an unprecedented opportunity to noninvasively examine the morphology and function of the human body in vivo. Yet, the quest for higher diagnostic utility by increasing image quality and diversity is often countered by limitations due to experimental and economic concerns. This talk will convey an overview of research at ICON Lab at Bilkent University towards addressing fundamental limitations to enable favorable trade-offs among imaging parameters. Technological innovations include high-resolution targeted pulse sequences, compressive sensing algorithms, as well as deep learning and other machine learning techniques for image processing and statistical modeling. These strategies can achieve substantial improvements in image quality for both structural and functional MRI. Challenging applications that involve the inverse problems of image reconstruction and image synthesis will be showcased.

Bio: Dr. Çukur received his B.S. degree from Bilkent University in 2003, and his Ph.D. degree from Stanford University in 2009, both in Electrical Engineering. He was a postdoctoral fellow at Helen Wills Neuroscience Institute at University of California, Berkeley till 2013. Currently, he is an Associate Professor in the Department of Electrical and Electronics Engineering, UMRAM, and Neuroscience Program at Bilkent University. His lab develops computational imaging methods for understanding the anatomy and function of biological systems in normal and disease states. He is the recipient of TUBITAK Career Award (2015), TUBA-GEBIP Outstanding Young Scientist Award (2015), BAGEP Young Scientist Award (2017), IEEE Turkey Research Encouragement Award (2017), Science Heroes Association Young Scientist of the Year Award (2018), and he is a senior member of IEEE (2017).

vTools Link: https://events.vtools.ieee.org/m/194920

 

01 March 2019 (13:40):  IEEE AP/MTT/EMC/ED Turkey Seminar Series (S.44)

Speaker: Asst. Prof. Emre Akbaş, Middle East Technical University

Topic: “Object Detection Through Search with a Foveated Visual System”

Location: Middle East Technical University, Ankara, Turkey

Abstract: In this talk, I will present a foveated object detector (FOD) as a biologically-inspired alternative to the sliding window (SW) approach which is the dominant method of search in computer vision object detection. Similar to the human visual system, the FOD has higher resolution at the fovea and lower resolution at the visual periphery. Consequently, more computational resources are allocated at the fovea and relatively fewer at the periphery. The FOD processes the entire scene, uses retino-specific object detection classifiers to guide eye movements, aligns its fovea with regions of interest in the input image and integrates observations across multiple fixations. Our approach combines object detectors from computer vision with a recent model of peripheral pooling regions found at the V1 layer of the human visual system. We assessed various eye movement strategies on the PASCAL VOC 2007 dataset and show that the FOD performs on par with the SW detector while bringing significant computational cost savings.

Bio: Dr. Emre Akbas is an assistant professor at the Department of Computer Engineering, Middle East Technical University (METU). Prior to joining METU, he was a postdoctoral research associate at the Department of Psychological and Brain Sciences, University of California Santa Barbara. He received his PhD degree from the Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign in 2011. His BS and MS degrees are from the Department of Computer Engineering, METU.

vTools Link: https://events.vtools.ieee.org/m/194919

 

15 February 2019: IEEE-APS Distinguished Lecturer Seminar by Prof. Ari Sihvola

Topic: “Metamaterials in electromagnetics: A bird’s-eye view”

Location: Middle East Technical University, Ankara, Turkey

POSTER

vTools Link: https://events.vtools.ieee.org/m/194917

 

12 February 2019: IEEE-APS Distinguished Lecturer Seminar by Prof. Ari Sihvola

Topic: “Characterization and effective description of heterogeneous and composite electromagnetic materials”

Location: Gebze Technical University, Gebze, Turkey

vTools Link: https://events.vtools.ieee.org/m/194916

 

2018 ACTIVITIES

2017 ACTIVITIES