Orhan Arıkan

Orhan Arıkan is a Professor in the Department of Electrical and Electronics Engineering at Bilkent University. From 2022 to April 2026 he served as Dean of the Faculty of Engineering and Director of the Graduate School of Sciences and Engineering. He is a member of the Türkiye Science Academy (Bilim Akademisi).

He received his B.Sc. degree in Electrical and Electronics Engineering from Middle East Technical University (METU), Ankara, in 1986, graduating second in his class, and his M.S. (1988) and Ph.D. (1990) degrees in Electrical and Computer Engineering from the University of Illinois Urbana-Champaign (UIUC), where he held the Schlumberger Research Fellowship. His doctoral work under Prof. David C. Munson, Jr. concerned radar signal processing, spotlight-mode SAR imaging and time–frequency analysis.

After three years as a Research Scientist at the Schlumberger-Doll Research Center in Ridgefield, Connecticut — where he co-authored patents on target detection and formation evaluation — he joined Bilkent University in 1993. He chaired the Department of Electrical and Electronics Engineering from 2011 to 2019. He has authored over 200 refereed publications and supervised 47 graduate theses (40 completed).

• Semantic Signal Processing & Communications — goal-oriented semantic communications, graph-based semantic signal representations, rate-of-innovation estimation, hidden semi-Markov semantic models and multi-sensor fusion.
• Compressive Sensing & Array Processing — adaptive measurement matrix design, sparse reconstruction, off-grid SAR imaging, direction-of-arrival estimation and compressive digital receivers.
• Radar & Time–Frequency Signal Processing — delay-Doppler radar processing, specific emitter identification, ambiguity-function analysis, short-time and fractional Fourier methods.
• Ionosphere & Remote Sensing — computerized ionospheric tomography (IONOLAB-CIT), TEC mapping (IONOLAB-TEC/SMAP), space weather, seismo-ionospheric coupling and GNSS-based imaging.
• Optimization & Machine Learning — randomized preconditioning for large-scale linear systems, global optimization, neural network compression, anomaly detection and biomedical signal classification.

• 2026 S. Karatay, F. Arıkan, O. Arıkan, “Characterization of Positive and Negative Ionospheric Storm Phases Using TNPGN-Active TEC Estimates Spanning Solar Cycles 24 and 25 (2019–2023),” Journal of Advanced Applied Sciences, 5(1), 8–23.
• 2026 S. Karatay, A. Çınar, F. Arıkan, O. Arıkan, “Spectral Tracks in the Ionosphere: Fast Fourier Transform Analysis of Seismo-Ionospheric Coupling Through GPS Total Electron Content Variations,” Tectonophysics, 231240.
• 2026 S. D. Yenen, F. Arıkan, O. Arıkan, “State-of-the-Art Computerized Ionospheric Tomography over Africa and Türkiye,” Annals of Geophysics, 69(2), SA220.
• 2025 F. Ardıç, F. Arıkan, O. Arıkan, “Reconstruction of Ionospheric TEC Maps Using Singular Value Decomposition in Both Space and Time,” Advances in Space Research.
• 2025 S. K. Yıldız, O. Arıkan, F. Arıkan, “Comprehensive Investigation of Hemispheric and Longitudinal Asymmetries in Midlatitude TEC,” Advances in Space Research.
• 2025 M. Köroğlu, O. Köroğlu, F. Arıkan, O. Arıkan, “Ionospheric Slant Total Electron Content Mapping Algorithm: IONOLAB-SMAP,” Advances in Space Research.
• 2025 S. K. Yıldız, O. Arıkan, F. Arıkan, “Planar Trend Model for the Midlatitude Ionosphere,” Advances in Space Research.
• 2025 İ. Heybatlı, O. Arıkan, F. Arıkan, “Spectral Analysis of Interplanetary and Geomagnetic Indices Using Fourier Transform for High Solar Activity Years,” Signal, Image and Video Processing, 19(2), 128.
• 2025 S. Akkoç, A. Çınar, B. Ercan, M. Kalfa, O. Arıkan, “Practical Hardware Demonstration of a Multi-Sensor Goal-Oriented Semantic Signal Processing and Communications Network,” Journal of the Franklin Institute, 362(1), 107363.
• 2024 S. Y. Yetim, T. M. Duman, O. Arıkan, “Hidden Semi-Markov Models for Semantic-Graph Language Modeling,” Journal of the Franklin Institute, 361(16), 107032.
• 2024 M. B. Terzi, O. Arıkan, “Machine Learning Based Hybrid Anomaly Detection Technique for Automatic Diagnosis of Cardiovascular Diseases Using Cardiac Sympathetic Nerve Activity and Electrocardiogram,” Biomedical Engineering / Biomedizinische Technik, 69(1), 79–109.
• 2023 İ. K. Özaslan, M. Pilancı, O. Arıkan, “M-IHS: An Accelerated Randomized Preconditioning Method Avoiding Costly Matrix Decompositions,” Linear Algebra and its Applications, 678, 57–91.
• 2022 M. Kalfa, S. Y. Yetim, A. Atalık, M. Gök, Y. Ge, R. Li, W. Tong, T. M. Duman, O. Arıkan, “Reliable Extraction of Semantic Information and Rate of Innovation Estimation for Graph Signals,” IEEE Journal on Selected Areas in Communications, 41(1), 119–140.
• 2022 B. Kılıç, A. Güngör, M. Kalfa, O. Arıkan, “Adaptive Measurement Matrix Design in Direction of Arrival Estimation,” IEEE Transactions on Signal Processing, 70, 4742–4756.
• 2022 E. B. Verdi, M. Gök, D. Doğan Mülazimoğlu, M. B. Terzi, A. Gürün Kaya, S. Erol, O. Işık, O. Arıkan, “Deep Learning-Based Hybrid Clinical Decision Support System Algorithm for COVID-19 Diagnosis via PCR Graphics and Thorax CT Images, Preliminary Data,” European Respiratory Journal, 60(suppl 66).
• 2021 M. Kalfa, M. Gök, A. Atalık, B. Tegin, T. M. Duman, O. Arıkan, “Towards Goal-Oriented Semantic Signal Processing: Applications and Future Challenges,” Digital Signal Processing, 119, 103134.
• 2021 G. Gök, Y. K. Alp, O. Arıkan, F. Arıkan, “A Method for Automatic Scaling of Ionograms and Electron Density Reconstruction,” IEEE Transactions on Geoscience and Remote Sensing, 60, 1–11.
• 2020 A. A. Akyol, O. Arıkan, F. Arıkan, “A Machine Learning-Based Detection of Earthquake Precursors Using Ionospheric Data,” Radio Science, 55(11), e2019RS006931.
• 2020 G. Gök, Y. K. Alp, O. Arıkan, “A New Method for Specific Emitter Identification With Results on Real Radar Measurements,” IEEE Transactions on Information Forensics and Security, 15, 3335–3346.
• 2020 M. B. Terzi, O. Arıkan, “Detection of Myocardial Ischaemia by Using Sympathetic Nerve Activity, Artificial Neural Network and Gaussian Mixture Model,” Anatomy: International Journal of Experimental & Clinical Anatomy, 14, S151.
• 2020 O. Arıkan, R. S. Burachik, C. Y. Kaya, “Steklov Regularization and Trajectory Methods for Univariate Global Optimization,” Journal of Global Optimization, 76(1), 91–120.
• 2019 C. Göken, S. Gezici, O. Arıkan, “Estimation Theoretic Optimal Encoding Design for Secure Transmission of Multiple Parameters,” IEEE Transactions on Signal Processing, 67(16), 4302–4316.
• 2019 S. Çamlıca, İ. Ş. Yetik, O. Arıkan, “Sparsity Based Off-Grid Blind Sensor Calibration,” Digital Signal Processing, 84, 80–92.
• 2019 U. Sezen, F. Arıkan, O. Arıkan, “NVIS HF Signal Propagation in Ionosphere Using Calculus of Variations,” Geodesy and Geodynamics, 10(1), 72–76.
• 2018 H. Tuna, O. Arıkan, F. Arıkan, “Model Based Computerized Ionospheric Tomography in Space and Time,” Advances in Space Research, 61(8), 2057–2073.
• 2018 F. Arıkan, U. Sezen, O. Arıkan, “Dynamo Equation Solution Using Finite Volume Method for Midlatitude Ionosphere,” Geodesy and Geodynamics, 9(6), 425–431.
• 2017 H. Öztoprak, M. Toycan, Y. K. Alp, O. Arıkan, E. Doğutepe, S. Karakaş, “Machine-Based Classification of ADHD and nonADHD Participants Using Time/Frequency Features of Event-Related Neuroelectric Activity,” Clinical Neurophysiology, 128(12), 2400–2410.
• 2017 İ. İlhan, A. C. Gürbüz, O. Arıkan, “Compressive Sensing-Based Robust Off-the-Grid Stretch Processing,” IET Radar, Sonar & Navigation, 11(11), 1730–1735.
• 2017 M. F. Keskin, S. Gezici, O. Arıkan, “Direct and Two-Step Positioning in Visible Light Systems,” IEEE Transactions on Communications, 66(1), 239–254.
• 2017 S. Bayram, M. F. Keskin, S. Gezici, O. Arıkan, “Optimal Power Allocation for Jammer Nodes in Wireless Localization Systems,” IEEE Transactions on Signal Processing, 65(24), 6489–6504.
• 2017 S. Çamlıca, A. C. Gürbüz, O. Arıkan, “Autofocused Spotlight SAR Image Reconstruction of Off-Grid Sparse Scenes,” IEEE Transactions on Aerospace and Electronic Systems, 53(4), 1880–1892.

A complete list of more than 200 refereed journal and conference publications is available on DBLP · Semantic Scholar · ResearchGate · Google Scholar · ORCID.

Undergraduate

• EEE 321 — Signals and Systems
• EEE 361 — Linear Algebra for Data Analysis & Machine Learning
• EE 424 — Digital Signal Processing
• MATH 241 — Engineering Mathematics I
• MATH 242 — Engineering Mathematics II
• MATH 250 — Introduction to Probability

Graduate

• EEE 521 — Introduction to Radar Signal Processing
• EE 523 — Digital Signal Processing
• EE 525 — Advanced Signal Processing
• EE 645 — Adaptive Signal Processing

• Member, Türkiye Science Academy (Bilim Akademisi)
• TÜBİTAK Young Researcher Award, Engineering Sciences — 2002
• Distinguished Teaching Award, Bilkent University — 1998
• Schlumberger Research Fellowship, UIUC — 1988–1990
• Salutatorian, METU, Electrical & Electronics Engineering — 1986

• Dean, Faculty of Engineering, Bilkent University — 2022 – April 2026
• Director, Graduate School of Sciences and Engineering, Bilkent University — 2022 – April 2026
• Chairman, Department of Electrical & Electronics Engineering, Bilkent University — 2011–2019
• Principal Investigator, TÜBİTAK Project 116E006 “CoSAMS” — signal-adaptive measurement strategies and the Bilkent–Fraunhofer collaboration — 2018–2021
• TÜBİTAK panel service — 32 evaluation panels (ARDEB, BİDEB, TEYDEB); 15 project monitoring activities
• President, IEEE Turkey Section — 2000–2001
• Thesis supervision — 47 M.S. and Ph.D. theses (40 completed)
• Inventor on 12 patents — US, EP, WO, CA and TR filings

Prof. Orhan Arıkan
Department of Electrical and Electronics Engineering
Bilkent University, TR-06800 Bilkent, Ankara, TURKEY
Office: EE-501
Phone: +90 (312) 290 1257
Fax: +90 (312) 266 4307
E-mail: oarikan@ee.bilkent.edu.tr
ORCID: orcid.org/0000-0002-3698-8888

Profiles: Google Scholar · ORCID · DBLP · Semantic Scholar · ResearchGate

Bilkent EEE Department · Bilim Akademisi