Burak Hasırcıoğlu
Research Assistant at Alan Turing Institute
Ph.D. Student at Information Processing and Communications Lab, Imperial College London
About me
I have been pursuing my PhD degree at the Information Processing and Communication Lab at Imperial College London, UK since December 2018. My research interests primarily revolve around security, privacy, coded computing, and machine learning. Previously, I completed my MSc in Communication Systems from EPFL, Lausanne, Switzerland in February 2017 and my BSc in Electrical and Electronics Engineering from METU, Ankara, Turkey in June 2014.
I have worked as an Applied Scientist Intern at Amazon Web Services (AWS) in New York, NY, USA from June 2022 to December 2022, and as a design engineer at Turkish Aerospace, Ankara, Turkey from October 2017 to November 2018. I was a research intern at ABB Corporate Research, Baden-Dättwil, Switzerland between March 2016 and August 2016.
Publications
Hasircioglu, Burak and Gunduz Deniz."Communication Efficient Private Federated Learning Using Dithering” In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024. Code available on GitHub.
Yilmaz Selim F., Hasircioglu Burak, Gunduz Deniz, "Over-the-Air Ensemble Inference with Model Privacy", In IEEE International Symposium on Information Theory (ISIT), 2022.
Hasircioglu, Burak, Gomez-Vilardebo Jesus, and Gunduz Deniz. "Bivariate Polynomial Codes for Secure Distributed Matrix Multiplication". IEEE Journal on Selected Areas in Communications, 2022.
Hasircioglu, Burak, Gomez-Vilardebo Jesus, and Gunduz Deniz. "Bivariate Polynomial Coding for Efficient Distributed Matrix Multiplication" IEEE Journal on Selected Areas in Information Theory, 2021.
Hasircioglu, Burak, Gomez-Vilardebo Jesus, and Gunduz Deniz. "Speeding Up Private Distributed Matrix Multiplication via Bivariate Polynomial Codes". In IEEE International Symposium on Information Theory (ISIT), 2021.
Malekzadeh Mohammad, Hasircioglu Burak, Mital Nitish, Katarya Kunal, Ozfatura M Emre and Gunduz Deniz."Dopamine: Differentially Private Secure Federated Learning on Medical Data." The Second AAAI Workshop on Privacy-Preserving Artificial Intelligence(PPAI-21)
Hasircioglu, Burak and Gunduz Deniz."Private Wireless Federated Learning with Anonymous Over-the-Air Computation” In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021.
Hasircioglu, Burak, Gomez-Vilardebo Jesus, and Gunduz Deniz."Bivariate Hermitian Polynomial Coding for Efficient Distributed Matrix Multiplication" In IEEE Global Communications Conference (Globecom) 2020.
Hasircioglu, Burak, Gomez-Vilardebo Jesus, and Gunduz Deniz."Bivariate Polynomial Coding For Straggler Exploitation With Heterogeneous Workers" In IEEE International Symposium on Information Theory (ISIT), 2020.
Hasircioglu, Burak, Yvonne-Anne Pignolet, and Thanikesavan Sivanthi. "Transparent Fault Tolerance for Real-Time Automation Systems." In Proceedings of the 1st International Workshop on Internet of People, Assistive Robots and Things, pp. 7-12. ACM, 2018.