Asnet-Am

10/06/2026

25/05/2026

28/04/2026

🌌 Exploring the Universe with Supercomputing 🌌

At the Aznavour Supercomputing Center ( ), we’re proud to support research that unlocks the mysteries of the Universe.

Recent publications by Dr. Narek Sahakyan (ICRANet-Armenia) and collaborators showcase how high-performance computing and artificial intelligence are transforming the study of blazars-some of the most powerful astrophysical sources in the Universe. Our infrastructure contributed to the computational work behind these breakthroughs.

Featured Publications:
📃 Modeling Blazar Broadband Emission with Convolutional Neural Networks, The Astrophysical Journal (2025)
📑 Time-resolved study of blazar OJ 287 (2008–2023), Monthly Notices of the Royal Astronomical Society (2025)

💡 Why it matters:
By combining neural networks with large-scale simulations, researchers can now model complex emissions faster and more accurately-while long-term data analysis reveals how these extreme objects evolve over time.

A powerful step toward data-driven, multimessenger astrophysics and the future of discovery.

Congratulations to all authors-we’re excited to support many more breakthroughs ahead! 👏 👏

🌌 Exploring the Universe with Supercomputing 🌌

At the Aznavour Supercomputing Center ( ), we’re proud to support research that unlocks the mysteries of the Universe.

Recent publications by Dr. Narek Sahakyan (ICRANet-Armenia) and collaborators showcase how high-performance computing and artificial intelligence are transforming the study of blazars-some of the most powerful astrophysical sources in the Universe. Our infrastructure contributed to the computational work behind these breakthroughs.

Featured Publications:
📃 Modeling Blazar Broadband Emission with Convolutional Neural Networks, The Astrophysical Journal (2025)
📑 Time-resolved study of blazar OJ 287 (2008–2023), Monthly Notices of the Royal Astronomical Society (2025)

💡 Why it matters:
By combining neural networks with large-scale simulations, researchers can now model complex emissions faster and more accurately-while long-term data analysis reveals how these extreme objects evolve over time.

A powerful step toward data-driven, multimessenger astrophysics and the future of discovery.

Congratulations to all authors-we’re excited to support many more breakthroughs ahead! 👏 👏

16/04/2026

🔊 Seminar Announcement

📅 April 16
🕐 13:00
📍 IIAP NAS RA, 4th Floor – Seminar Room

We are pleased to host distinguished guests from the University “Ss. Cyril & Methodius”, Skopje, Macedonia:

👩‍🏫 Biljana Stojkoska
Professor, Faculty of Computer Science and Engineering
Topic: Data Processing for the Internet of Things

👩‍🏫 Bojana Koteska
Associate Professor, Faculty of Computer Science and Engineering
Topic: Data Processing and AI-Based Methods for Vital Parameter Estimation

Join us for an insightful session exploring cutting-edge approaches in IoT and AI-driven data analysis.

Everyone is welcome!

24/03/2026

🌟 Empowering Scientific Discovery at the Aznavour Supercomputing Center 🌟

At the Aznavour Supercomputing Center ( ), we are proud to support a growing community of researchers and scientists driving meaningful scientific progress.

By leveraging our high-performance computing resources, researchers are advancing fields like artificial intelligence, smart systems, cybersecurity, and data-driven modeling—leading to high-quality publications and impactful results.

We are especially honored to see acknowledgments from leading scientist Hayk Zakaryan and his peers, who have utilized our infrastructure to power their cutting-edge research. These achievements highlight both the strength of Armenia’s scientific ecosystem and the vital role of supercomputing in enabling innovation.

📖 A dedicated publication referencing further underscores our role in bridging science and technology:
https://doi.org/10.1134/S1063779625700388

Congratulations to all researchers for these remarkable accomplishments! We look forward to supporting many more breakthroughs.

Highlighted Articles:

Petrosyan, N. et al. Computational Discovery of Li6PO5I: An Oxide Argyrodite for Solid-State Electrolytes. ACS Applied Energy Materials, 2026. DOI
(Q1)
Burganova, R.M. et al. Towards structure-property prediction in DyF3 nanoclusters. Computational and Theoretical Chemistry, 2026. DOI
(Q2)
Dallakyan, O.L. et al. Computational Screening for Novel Solid-State Electrolytes in Li3MX6 Composition. J. Energy Chem., 2026. DOI
(Q1)
Shamsieva, A. et al. DFT analysis of furan-based covalent organic framework as electrode materials for lithium and calcium ion batteries. Computational and Theoretical Chemistry, 2025. DOI
(Q2)
Piyanzina, I.I. et al. DFT investigation of magnetocrystalline anisotropy in Fe, Co, Pd0.95Co0.05, and Pd0.95Fe0.05 systems. Eur. Phys. J. Plus, 2025. DOI
(Q2)

24/03/2026

📢 Call for Papers – CODASSCA 2026 | Yerevan 🇦🇲

We invite researchers and practitioners to submit their work to the 5th CODASSCA Conference, focused on data-driven and human-centered technologies.

🗓 Submission deadline: May 1, 2026
📚 Accepted papers → IEEE Xplore

🎓 Includes PhD/Master’s/Bachelor’s Forum + IoT Health Workshop

See full details in the attached announcement 👇


Ինֆորմատիկայի և ավտոմատացման պրոբլեմների ինստիտուտ / IIAP

24/03/2026

👉 Կարևոր առաջընթաց գիտության և կրթության ոլորտում միջազգային համագործակցության ընդլայնման ուղղությամբ։ Հայաստանը շարունակում է ակտիվ ներգրավվածությունը «Հորիզոն Եվրոպա» ծրագրում։

Ինֆորմատիկայի և ավտոմատացման պրոբլեմների ինստիտուտ / IIAP
#հորիզոնեվրոպա #ԱԲ
Բարձրագույն կրթության և գիտության կոմիտե

13/02/2026

📢 Seminar Announcement

🗓 Monday at 12:30 PM
📍 Ինֆորմատիկայի և ավտոմատացման պրոբլեմների ինստիտուտ / IIAP, 4th Floor Seminar Room

We are happy to host Dr. Constantine Dovrolis for a special seminar:

Title: Toward Neuro-Inspired AI: Sparse Data, Modular Networks, and Stream-Based Continual Learning

This talk explores sparse and modular neural networks, continual learning, and efficient, brain-inspired architectures. Rather than scaling bigger black boxes, it rethinks how learning happens under real-world constraints — emphasizing adaptability, efficiency, and robustness.

Dr. Dovrolis is the Director of the Center for Computational Science and Technology (CaSToRC) at The Cyprus Institute and Adjunct Professor at Georgia Institute of Technology.

We look forward to welcoming you!

27/01/2026

🤝
ՀՀ ԳԱԱ Ինֆորմատիկայի և ավտոմատացման պրոբլեմների ինստիտուտ / IIAP × Հայաստանի Ամերիկյան Համալսարան

Վերջերս տեղի ունեցավ ՀՀ ԳԱԱ Ինֆորմատիկայի և ավտոմատացման խնդիրների ինստիտուտի և Հայաստանի Ամերիկյան Համալսարանի ղեկավարների արդյունավետ հանդիպումը՝ նպատակ ունենալով ամրապնդել ինստիտուցիոնալ համագործակցությունը և կառուցել ավելի ամուր կամուրջներ գիտահետազոտական գործունեության և կրթության միջև։ Քննարկվեցին համատեղ նախաձեռնությունների, գիտելիքի փոխանակման և ակադեմիական գերազանցությունը իրական ազդեցության հետ կապելու հնարավորությունները։ Սպասում ենք գաղափարները գործնական քայլերի վերածելուն։

🤝
Institute for Informatics and Automation Problems × American University of Armenia

We recently held a constructive leadership meeting between the Institute for Informatics and Automation Problems of the National Academy of Sciences of the Republic of Armenia and the American University of Armenia, focused on strengthening institutional collaboration and building stronger bridges between research and education. The discussion highlighted opportunities for joint initiatives, knowledge exchange, and aligning academic excellence with real-world impact. Looking forward to turning shared ideas into meaningful action.