个人简介
教育经历
Ph.D. in Information Engineering:
University of Cambridge, U.K., March 1998.
Dissertation title: Signal Processing in alpha-Stable Noise Environments.
Specialisation: statistical signal processing.
M.Phil. in Information Engineering:
University of Cambridge, U.K., August 1995.
Specialisation: nonlinear signal processing.
M.Sc. in Electrical and Electronics Engineering:
Bilkent University, Ankara, Turkey, August 1993.
Specialisation: data compression, coding theory.
B.Sc. in Electrical and Electronics Engineering: (with high honours)
Bilkent University, Ankara, Turkey, July 1991.
Specialisation: telecommunications and electronics.
工作经历
1/3/2022- Present: Professor, Tsinghua Shenzhen International Graduate School
1/12/2019 - 2/28/2022: Visiting Professorin Data Science: Data Science and Information Technology Center, Tsinghua-Berkeley Shenzhen Institute
7/8/2018: Habilitation for Professor of Computer Science (awarded by Italian Ministry of Education, Universities and Research)
20/3/2018: Habilitation for Professor of Telecommunications (awarded by Italian Ministry of Education, Universities and Research)
2006- …: Senior researcher (Primo Ricercatore) at Institute of Science and Technology of Information (ISTI), Italian Council of Research (CNR)-Pisa, via G. Moruzzi 1, Area della Ricerca di Pisa, 56124, Pisa, Italy.
4/2013 – 9/2013 & 4/2014 – 9/2014: Alexander von Humboldt Fellow, Max Planck Institute for Molecular
Genetics, Berlin, Germany
3/2012 - 8/2012: Alexander von Humboldt Fellow at Humboldt University, Berlin, Germany.
7/2017–8/2017: Visiting professor, Southern University of Science and Technology, Shenzhen, China.
2/2016–3/2016: Visiting professor, Georgia Institute of Technology, Shenzhen, China.
8/2011–11/2011: Visiting professor, Georgia Institute of Technology, Shanghai, China
8/2007–11/2007: Visiting professor, Georgia Institute of Technology, Shanghai, China
24/11/ 2006 : Habilitation for Associate Professor.
2002 -2006: Ricercatore (Research scientist with tenure), Institute of Science and Technology of Information (ISTI), Italian Council of Research (CNR)-Pisa, via G. Moruzzi 1, Area della Ricerca di Pisa, 56124, Pisa, Italy.
2000 - 2001: ERCIM Fellow at Istituto Elaborazione della Informazione (IEI), Consiglio Nazionale delle Ricerche (CNR), via G. Moruzzi 1, Area della Ricerca di Pisa, 56124, Pisa, Italy.
1999 - 2000: ERCIM Fellow at INRIA - Sophia Antipolis, 2004 route des Lucioles - BP 93, Sophia Antipolis, France.
1998 - 1999: Research Scientist (permanent) at Xerox Research Center, Cambridge, UK.
1995 - 1997: Tutorial teaching of telecommunications course for undergraduates at the Department of
Engineering, Cambridge University, Trumpington Street, Cambridge, UK.
1991 - 1994: Teaching and research assistant at the Department of Electrical and Electronics
Engineering, Bilkent University, Bilkent, Ankara, Turkey.
荣誉奖项
2019 Nominated for IEEE Fellowship (results to be announced in December 2019)
2012-2014 Alexander von Humboldt Experienced Research Fellow
2007, 2008, 2009, 2011 People’s Republic of China, 111 Foreign Experts Programme Fellow
2006 Senior Member of IEEE
2005 IEEE SIU Best Paper Award
1999-2001 ERCIM (European Research Consortium for Informatics and Mathematics) Fellowship
1997 Cambridge University Lundgren Award
1995-1997 Cambridge Overseas Trust Scholarship
1995 Cambridge European Trust Honorary Scholarship
1995-1997 UK Overseas Research Studentship Award
1994-1995 British Council Scholarship
1994-1997 Downing College (Cambridge) Graduate Student Scholarship
1991-1994 Teaching and research assistantship at the Bilkent University, Turkey
1987-1991 Bilkent University Undergraduate Scholarship
1987-1991 Bilkent University, listed 7 times in the high-honour list and once in the honour list
1987 Turkish Scientific and Technical Research Institute Young Scientist Encouragement Award
1987 Turkish IS Bank award for scoring second highest grade in mathematics in the centralised university entrance examinations (among 600,000 participants)
研究领域
Data/Information Science, Machine Learning, Statistical Signal Processing, Remote Sensing, Information and Coding Theory, System and Noise Modelling, Telecommunications, Image Processing
近期论文
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Recent Journal Papers
Oktay Karakus, Ercan E Kuruoglu, Alin Achim, and Mustafa A Altinkaya. Cauchy-Rician Model for Backscattering in Urban SAR Images. In: IEEE Geoscience and Remote Sensing Letters 19 (2022), pp. 1-5.
Lili Lin, Qiujian Li, Bin Gao, Yuxiang Yan, Wenhui Zhou, and Ercan Engin Kuruoglu. Unsupervised learning of light field depth estimation with spatial and angular consistencies. In: Neurocomputing (2022).
Zhendong Shi, Ercan E. Kuruoglu, and Xiaoli Wei.Thompson Sampling on Asymmetric -Stable Bandits. In: (2022).
Yi Yan, Ercan E Kuruoglu, and Mustafa A Altinkaya. Adaptive Sign Algorithm for Graph Signal Processing. Signal Processing, Volume 200, 2022, 108662, https:doi.org10.1016j.sigpro.2022.108662.
Yi Yan, Radwa Adel, and Ercan Engin Kuruoglu. Graph Normalized-LMP Algorithm for Signal Estimation Under Impulsive Noise. Journal of Signal Processing Systems, 2022, https:doi.org10.1007s11265-022-01802-2.
Pierfrancesco Ambrosi, Mauro Costagli, Ercan E Kuruoglu, Laura Biagi, Guido Buonincontri, and Michela Tosetti. Modeling brain connectivity dynamics in functional magnetic resonance imaging via particle filtering. In: Brain Informatics 8.1 (2021), pp. 1-12.
Oktay Karakus, Ercan E Kuruoglu, and Alin Achim. A generalized Gaussian extension to the Rician distribution for SAR image modeling. In: IEEE Transactions on Geoscience and Remote Sensing 60 (2021), pp. 1-15.
Koray Kayabol, Ensar Burak Aytekin, Sertac Arisoy, and Ercan Engin Kuruoglu. Skewed t-Distribution for Hyperspectral Anomaly Detection Based on Autoencoder. In: IEEE Geoscience and Remote Sensing Letters 19 (2021), pp. 1-5.
Ercan E Kuruoglu. 30th Anniversary of Digital Signal Processing: a Review Journal. 2021.
Ercan Engin Kuruoglu. Letter from the Editor: While I weigh the anchor: Editor’s farewell. In: Digital Signal Processing 119 (2021), p. 103296.
Ercan Engin Kuruoglu and Yang Li. Modelling TimeVarying Epidemiological Parameters for COVID-19. In: Ercim News (2021), pp. 25-26.
Farzin Saffarimiandoab, Riccardo Mattesini, Wanyi Fu, Ercan Engin Kuruoglu, and Xihui Zhang. Insights on features’ contribution to desalination dynamics and capacity of capacitive deionization through machine learning study. In: Desalination 515 (2021), p. 115197.
Farzin Saffarimiandoab, Riccardo Mattesini, Wanyi Fu, Ercan Engin Kuruoglu, and Xihui Zhang. Interpretable machine learning modeling of capacitive deionization for contribution analysis of electrode and process features. In: Journal of Materials Chemistry A 9.4 (2021), pp. 2259-2268.
Wenhui Zhou, Jiangwei Shi, Yongjie Hong, Lili Lin, and Ercan Engin Kuruoglu. Robust dense light field reconstruction from sparse noisy sampling. In: Signal Processing 186 (2021), p. 108121.
Recent Conference Papers
Bunchalit Eua-Arporn, Shao-Lun Huang, and Ercan Engin Kuruoglu. Enhancing Neural Network Based Hybrid Learning with Empirical Wavelet Transform for Time Series Forecasting. In: 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI). IEEE. 2021, pp. 386-390.
Zidi Gao, Yiwen He, and Ercan Engin Kuruoglu. A Hybrid Model Integrating LSTM and Garch for Bitcoin Price Prediction. In: 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP). IEEE. 2021, pp. 1-6.
Oktay Karakus, Ercan E Kuruoglu, and Alin Achim. A modification of Rician distribution for SAR image modelling. In: EUSAR 2021; 13th European Conference on Synthetic Aperture Radar. VDE. 2021, pp. 1-6.
Yicong Li, Calvin Chan, Yang Li, and Ercan Engin Kuruoglu. How Does Policy Stringency Affect the Spread of COVID-19 Pandemic? A Country Level Study. In: 2021 29th European Signal Processing Conference (EUSIPCO). IEEE. 2021, pp. 1965-1969.
Zifeng Wang, Shao-Lun Huang, Ercan E Kuruoglu, Jimeng Sun, Xi Chen, and Yefeng Zheng. PAC-Bayes Information Bottleneck. In: arXiv preprint arXiv:2109.14509 (2021).
Yi Yan, Radwa Adel, and Ercan E Kuruoglu. Adaptive Normalized LMP Estimation for Graph Signal Processing. In: 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP). IEEE. 2021, pp. 1-6.
Oktay Karakus, Ercan E Kuruoglu, and Alin Achim. Modelling sea clutter in SAR images using LaplaceRician distribution. In: ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE. 2020, pp. 1454-1458.
Oktay Karakus, Ercan E Kuruoglu, and Mustafa A. Altinkaya. Modelling impulsive noise in indoor powerline communication systems. Signal, Image and Video Processing 14.8 (2020): 1655-1661.
Zifeng Wang, Xi Chen, Rui Wen, Shao-Lun Huang, Ercan Kuruoglu, and Yefeng Zheng. Information theoretic counterfactual learning from missing-not-atrandom feedback. In: Advances in Neural Information Processing Systems 33 (2020), pp. 1854-1864.
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