Position:Applications Programmer
Telephone:01865 857233
Email:siavash.khodambashi@dtu.ox.ac.uk
Siavash Khodambashi is a software programmer and web developer at the Diabetes Trials Unit (DTU). He is responsible for designing, implementing, and maintaining web-based and desktop applications to support clinical trials, as well as software packages developed in the DTU for external users.
In his role, Siavash works closely with the Head of Informatics to ensure the smooth operation of all essential DTU computing systems and software, providing technical expertise and support in the development and maintenance of the DTU network and servers. He is also responsible for tracking programming requests, actions, and outcomes, creating test documents, performing demonstrations, and providing training in DTU systems.
With an educational background in Physics, an MSc, and a PhD in computer engineering, Siavash has brought his technical knowledge, analytical skills, and problem-solving abilities to the DTU since January 2023. Prior to joining the DTU, Siavash spent 10 years teaching, researching, and programming at the university level.
Siavash is passionate about cyber security and is interested in methods, tools, and techniques that support engineers in the development of software systems that are secure and protect data privacy. He has conducted several studies and research projects in this area, focusing on quantum cryptography, cryptography, Android, and machine learning techniques.
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HamDroid: permission-based harmful android anti-malware detection using neural networks
Seraj S. et al.
Neural Computing and Applications. 2022;34:15165–15174
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A sessional blind signature based on quantum cryptography
Khodambashi S. and Zakerolhosseini A.
Quantum Information Processing. 2014;13:121-130
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A quantum blind signature scheme for electronic payments
Khodambashi S. and Zakerolhosseini A.
IEEE 22nd Iranian Conference on Electrical Engineering, ICEE. 2014;879-884
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Efficient RNS to binary converters for the new 4-moduli set {2n, 2n+1-1, 2n-1, 2n-1-1}
Esmaeildoust M. et al.
IEICE electronics express 2012;9:1-7
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A scalable architecture to control LED displays
Khodambashi S. et al.
IEEE 2nd International Conference on Industrial and Information Systems, IIS. 2010;1:456-459
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An impulse noise fading technique based on local histogram processing
Khodambashi S. and Moghaddam ME.
IEEE International Symposium on Signal Processing and Information Technology, ISSPIT. 2009;95-100