Arutyun I. Avetisyan, Director of the ISP RAS, Academician of RAS

News

02 August, 2019 OS DAY-2019. Cooperation among operating platform developers and the security of Russian software

10 April, 2019 Ivannikov Memorial Workshop has been supported by IEEE

14 March, 2019 The annual Ivannikov Memorial Workshop will take place on 13-14 September 2019

Arutyun I. Avetisyan

Academician of RAS, Dr. Sc. (Physics and Mathematics), Professor of the RAS, Сorresponding member of the Academy of Cryptography of the Russian Federation

Scopus Author ID: 56274803200

Currents Positions

Director of the Ivannikov Institute for System Programming of the Russian Academy of Sciences (ISP RAS)

Deputy President of the RAS on digital transformation

Head of the System Programming Chairs in MSU, MIPT and HSE

Scientific Director of Trusted AI Research Center at ISP RAS

Scientific Director of 3 system programming labs (in Velikiy Novgorod, Orel and Yerevan)

Contacts

Phone: +7(495) 912-46-14
Mobile: +7(985) 997-97-18
Fax: +7(495) 912-15-24
E-mail: arut@ispras.ru
Address: A.Solzhenitsyna, 25, Moscow, 109004, Russia

Research Interests

Program Analysis and Transformation
Software Security
Compiler Technologies
Parallel and Distributed Computing

Arutyun Avetisyan is a specialist in the field of applied mathematics, system programming and cybersecurity, author of more than a 100 scientific papers, has 8 certificates of registration of the results of intellectual activity.

Scientific Achievements

Performance and power-aware optimizations in the GCC and LLVM compilers that make use of hardware-specific features for e.g. ARM and EPIC architectures, as well as profile-driven optimizations.

Development of an LLVM-based compiler toolchain that supports C/C++ portability between architectures and allows utilizing hardware-specific features for increased performance, provides better security and reliability. The toolchain was used in the Tizen mobile platform.

Development of methods and tools for parallel programming that improve programmers’ productivity, also for heterogeneous platforms such as GPGPU clusters.

Development of methods and algorithms for static, dynamic and combined program analysis in the sphere of finding security vulnerabilities and other critical defects in source and binary code. The developed approaches are unique in Russia and were used for development of several tools which support secure software development lifecycle. The tools include Svace − a system for source code static analysis, which is deployed in industry and helps improving program quality and security in various Russian and foreign companies (Samsung, Huawei, Kaspersky Lab, RusBITech and others).

Teaching

"Programming course for parallel computation technologies" at MIPT
Course "Compile technologies" at MSU
Scientific supervision of students and graduate students

Selected Professional Activities

Member of ACM
Senior Member of IEEE CS
Member of HiPEAC
Member of the Bureau of the Department of Mathematical Sciences of the RAS
Member of the Thesis Committee of Institute for System Programming of the RAS
Editor-in-chief of the journals “Programming and Computer Software” and “Proceedings of ISP RAS”
Scientific advisor of the journal “System administrator”

Organizer and Program Committee Member

ISP RAS Open Conference, Data Science in Medicine, OS DAY, Ivannikov Memorial Workshop, International summit OpenCirrus-2011 and others

Dissertations

Avetisyan A.I. Modern techniques of static and dynamic program analysis for automating software quality improvement process. Dissertation for the degree of Doctor of Physical and Mathematical Sciences. Moscow, 2012.
Avetisyan A.I. Research and development of the ParJava programming environment for parallel computing systems. Dissertation for the degree of candidate of physical and mathematical sciences. Moscow, 2001.

Selected Publications

1.Tchernykh, A., Babenko, M., Chervyakov, N., Miranda-López, V., Kuchukov, V., Cortés-Mendoza, J.M., Deryabin, M., Kucherov, N., Radchenko,G., Avetisyan, A.

AC-RRNS: Anti-collusion secured data sharing scheme for cloud storage, International Journal of Approximate Reasoning, Volume 102, 2018, DOI: 10.1016/j.ijar.2018.07.010

2. Andrei Tchernykh, Mikhail Babenko, Nikolay Chervyakov, Vanessa Miranda-López, Arutyun Avetisyan, Alexander Yu. Drozdov, Raul Rivera-Rodriguez, Gleb Radchenko, Zhihui Du

Scalable Data Storage Design for Non-Stationary IoT Environment with Adaptive Security and Reliability

IEEE Internet of Things Journal (Volume: 7, Issue: 10) DOI: 10.1109/JIOT.2020.2981276

3. Vanessa Miranda-López, Andrei Tchernykh, Mikhail Babenko, Arutyun Avetisyan, Victor Toporkov, Alexander Yu. Drozdov

2Lbp-RRNS: Two-Levels RRNS With Backpropagation for Increased Reliability and Privacy-Preserving of Secure Multi-Clouds Data Storager Yu. Drozdov, IEEE Access DOI: 10.1109/ACCESS.2020.3032655

4. Gliner Vadim, Keidar Noam, Makarov Vladimir, Avetisyan Arutyun I., Schuster Assaf, Yaniv Yael

Automatic classification of healthy and disease conditions from images or digital standard 12-lead electrocardiograms, Scientific Reports DOI: 10.1038/s41598-020-73060-w

5. Pulido-Gaytan, B; Tchernykh, A; Cortes-Mendoza, JM ; Babenko, M; Radchenko, G; Avetisyan, A; Drozdov, AY

Privacy-preserving neural networks with Homomorphic encryption: Challenges and opportunities, PEER-TO-PEER NETWORKING AND APPLICATIONS, Том: 14 Выпуск: 3 Стр.: 1666-1691 DOI: 10.1007/s12083-021-01076-8