Ercan Engin Kuruoğlu

Ercan E. Kuruoğlu received MPhil and PhD degrees in information engineering from the University of Cambridge, United Kingdom, in 1995 and 1999, respectively. In 1998, he joined Xerox Research Center Europe, Cambridge. He was an ERCIM fellow in 2000 with INRIA-Sophia Antipolis, France. In January 2002, he joined Institute of Science and Technology of Information-CNR (Italian National Council of Research), Pisa, Italy where he became a Chief Scientist in 2020. He was a Visiting Professor at Tsinghua-Berkeley Shenzhen Institute since 2020-2022. He is currently a Full Professor at Institute of Data and Information, Tsinghua Shenzhen International Graduate School. He served as an Associate Editor for the IEEE Transactions on Signal Processing and IEEE Transactions on Image Processing. He was the Editor in Chief of Digital Signal Processing: A Review Journal between 2011-2021. He is currently co-Editor-in-Chief of Journal of the Franklin Institute. He acted as a Technical co-Chair for EUSIPCO 2006, Tutorials co-Chair of ICASSP 2014 and General co-Chair of IEEE IVMSP 2026. He was a plenary speaker at DAC 2007, ISSPA 2010, IEEE SIU 2017, Entropy 2018, MIIS 2020, IET IRC 2023 and tutorial speaker at IEEE ICSPCC 2012. He received best paper awards in IEEE SIU 2005, IEEE CAI 2024, MICCAI-W 2025, IET-IRC 2025. He was an Alexander von Humboldt Experienced Research Fellow in the Max Planck Institute for Molecular Genetics in 2013-2015. He is listed among the top 2% most cited scientists in the world continuously since 2019. He is awarded IEEE Fellowship in 2026 for his contributions in non-Gaussian signal processing. He is elected to the Science Academy of Turkey in 2026.

• 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.

2022- Present: Professor, Tsinghua Shenzhen International Graduate School

2020 - 2022: Visiting Professor in Data Science, Tsinghua-Berkeley Shenzhen Institute

2020: Chief Scientist (Dirigente di ricerca) at Institute of Science and Technology of Information (ISTI), Italian Council of Research (CNR)-Pisa, Italy.

2006-2020 Senior researcher (Primo Ricercatore) ISTI-CNR, Pisa, Italy.
2002 -2006: Ricercatore (Research scientist with tenure), ISTI-CNR, Italy.

2000-2001: ERCIM Fellow, Istituto Elaborazione della Informazione (IEI), CNR, Pisa, Italy.
1999 - 2000: ERCIM Fellow at INRIA - Sophia Antipolis, France.
1998 - 1999: Research Scientist (permanent) at Xerox Research Center, Cambridge, UK

Visiting positions: 

Winter 2018 Fraunhofer – Heinrich Hertz Institute, Berlin, Germany.

Spring 2013-2014: Alexander von Humboldt Fellow, Max Planck Institute for Molecular Genetics, Berlin, Germany
Spring 2012: Alexander von Humboldt Fellow at Humboldt University, Berlin, Germany.
Summer 2017: Visiting professor, Southern University of Science and Technology, Shenzhen, China.
Spring: Visiting professor, Georgia Institute of Technology, Shenzhen, China.
 Autumn 2011: Visiting professor, Georgia Institute of Technology, Shanghai, China
 Autumn 2007: Visiting professor, Georgia Institute of Technology, Shanghai, China

Co-Editor in Chief Journal of the Franklin Institute (2022 - …)

Editor in Chief Digital Signal Processing, Elsevier (2011-2021)

Member IEEE Signal Processing Society Technical Directions Board

Chair IEEE Signal Processing Society, Image, Video and Multidimensional Signal Processing Technical Committee

Random Processes

Bayesian Learning and Data Analysis

Time-series Analysis

Stochastic AI with focus on Bayesian Neural Networks, uncertainty quantification, neural network architecture design.

Bayesian learning with novel MCMC and sequential MC based algorithms.

Time-varying graphs and applications in genomics, neuroscience, energy networks, seismology, finance.

Rare event modelling, heavy-tailed distribution models, Levy-stable models in learning, finance

1. C Yuan, K Zhao, E Kuruoglu, L Wang, T Xu, W Huang, D Zhao, H Cheng, ..., A survey of graph transformers: Architectures, theories and applications, ACM Computing Surveys 58 (15), 1-35, 2026.

2. C Yuan, M Wen, E Kuruoglu, Y Liu, J Li, T Xu, D Zhao, H Cheng, Non-stationary equivariant graph neural networks for physical dynamics simulation, Advances in Neural Information Processing Systems 38, 154717-154743, 2026.

3. B Shu, EE Kuruoğlu, Robust Bayesian Last Layer Models with Heavy-Tailed Noise, ICASSP 2026.

4. Y Yan, T Xie, EE Kuruoglu, Adaptive joint estimation of temporal vertex and edge signals, IEEE Transactions on Signal and Information Processing over Networks 11, 215-229, 2025.

5. J Li, X Yuan, EE Kuruoglu, Exploring Weight Distributions and Dependence in Neural Networks With alpha-Stable Distributions, IEEE Transactions on Artificial Intelligence 5 (11), 5519-5529, 2024.

6. P Marsh, EE Kuruoglu, Optimized parameter-efficient deep learning systems via reversible jump simulated annealing, IEEE Journal of Selected Topics in Signal Processing 18 (6), 1010-1023, 2024.

7. M Li, EE Kuruoglu, Complex Isotropic α-Stable-Rician Model for Heterogeneous SAR Images, IEEE Transactions on Geoscience and Remote Sensing 62, 1-9, 2024.

8. F Zhao, EE Kuruoglu, Sequential Monte Carlo graph convolutional network for dynamic brain connectivity, ICASSP 2024.

9. J Hong, Y Yan, EE Kuruoglu, WK Chan, Multivariate time series forecasting with GARCH models on graphs, IEEE Transactions on Signal and Information Processing over Networks 9, 557-568, 2023.

Edited Conference Proceedings
 1. B. Sankur, A.E. Cetin, M. Tekalp and E. E. Kuruoglu, Proceedings of European Conference on Signal Processing (EUSIPCO), 2006.
 2. M. Luise, F. Gini and E. E. Kuruoglu, Proceedings of European Conference on Signal Processing (EUSIPCO), 2005.
 Edited Special Issues
 1. E. E. Kuruoglu, J. Lasenby, A.T. Cemgil, A.C. Kokaram and R.D. Morris, Special Issue on “Bayesian Signal Processing,” in Honour of William Fitzgerald, Digital Signal Processing, 2015.
 2. E. E. Kuruoglu and F. J. Theis, Special Issue on “Dependent Component Analysis,” EURASIP Journal on Advances in Signal Processing, 2013.
 3. A. Leshem, F. Kamalabadi, E.E. Kuruoglu and A. van der Veen, Special Issue on “Signal Processing for Astronomy and Cosmology,” IEEE Signal Processing Magazine, January 2010.
 4. A. Leshem, J. Christou, B. Jeffs, E.E. Kuruoglu and A. van der Veen, Special Issue on “Signal Processing Applications in Astronomy and Space Research,” IEEE Journal on Special Topics in Signal Processing, October 2008.
 5. E. E. Kuruoglu and K. Knuth, Special Issue on “Bayesian Source Separation,” Digital Signal Processing, September 2007.
 6. E. E. Kuruoglu and C. Baccigalupi, Special Issue on “Applications of Signal Processing in Astrophysics and Cosmology,” EURASIP Journal of Applied Signal Processing, August 2005.
 7. E. E. Kuruoglu, Special Issue on “Signal Processing with Heavy-tailed Distributions,” Signal Processing, Elsevier, vol. 82, no. 12, December 2002.

Articles in Newsletters
 1. A. Tonazzini, F. Bonchi, S. Gnesi, E. E. Kuruoğlu and S. Bottini, “Analysis and Modelling of Genomic Data”, ERCIM News, No. 64, 59-60, January 2006.
 2. E. Salerno, L. Bedini, E. E. Kuruoglu and A. Tonazzini, ERCIM News, No. 49, pp. 44-45, April 2002.
 3. E. E. Kuruoglu and J. Zerubia, Modelling SAR Images of Urban Areas, ERCIM News, No. 46, pp. 68-69, July 2001.
 Contributed Volumes
 1. E. Salerno, L. Bedini, E.E. Kuruoglu, A. Tonazzini, In: Artificial intelligence in recognition and classification of astrophysical and medical images, vol. SCI 46 pp. 209-247. Valentina V. Zharkova, Lakhmi C. Jain (eds.). Springer, 2007.
 2. E. Salerno, L. Bedini, E.E. Kuruoglu, A. Tonazzini, In: Artificial intelligence in recognition and classification of astrophysical and medical images, vol. SCI 46 pp. 200-209. Valentina V. Zharkova, Lakhmi C. Jain (eds.). Springer, 2007.
 3. E. E. Kuruoglu and E. Ayanoglu, The Design of Finite-State Machines for Quantization Using Simulated Annealing, in Coding and Quantization, pp. 175-184, Eds. R. Calderbank, G.D. Forney and N. Moayeri, American Mathematical Society, Series in Discrete Mathematics and Theoretical Computer Science, 1993.

· IEEE Fellowship for contributions in non-Gaussian Signal Processing (2026)

· Academician of Science Academy, Turkey (2026-…)

· Alexander von Humboldt Experienced Research Fellowship (2012-2014)

· ExcellentFacultyAward, Tsinghua SIGS 2025

· Best Master Thesis Supervisor Award, Tsinghua SIGS 2024