People / current team

Ata Akbari Asanjan

Senior Scientist, Interdisciplinary. Applied quantum AI, interdisciplinary research translation, and mission-oriented scientific computing.

Ata Akbari Asanjan contributes to RIACS Applied Quantum AI activities, connecting quantum information science with interdisciplinary research directions and mission-oriented scientific computing.

Scholarly output

Publications

Figure-derived thumbnail for Anomaly Detection in Aeronautics Data with Quantum-compatible Discrete Deep Generative Model
2023
Open paper

Anomaly Detection in Aeronautics Data with Quantum-compatible Discrete Deep Generative Model

Thomas Templin, Milad Memarzadeh, Walter Vinci, P Aaron Lott, Ata Akbari Asanjan, Anthony Alexiades Armenakas, Eleanor Rieffel Machine Learning: Science and Technology, 4(3), 035018

2024
Open paper

Assessing and advancing the potential of quantum computing: A NASA case study

Eleanor G. Rieffel, Ata Akbari Asanjan, M. Sohaib Alam, Namit Anand, David E. Bernal Neira, Sophie Block, Lucas T. Brady, Steve Cotton, Zoe Gonzalez Izquierdo, Shon Grabbe, Erik Gustafson, Stuart Hadfield, P. Aaron Lott, Filip B. Maciejewski, Salvatore Mandrà, Jeffrey Marshall, Gianni Mossi, Humberto Munoz Bauza, Jason Saied, Nishchay Suri, Davide Venturelli, Zhihui Wang, Rupak Biswas Future Generation Computer Systems, 160, 598-618

Figure-derived thumbnail for Combinatorial Reasoning: Selecting Reasons in Generative AI Pipelines via Combinatorial Optimization
2024
Open paper

Combinatorial Reasoning: Selecting Reasons in Generative AI Pipelines via Combinatorial Optimization

Mert Esencan, Tarun Advaith Kumar, Ata Akbari Asanjan, P Aaron Lott, Masoud Mohseni, Can Unlu, Davide Venturelli, Alan Ho arXiv preprint arXiv:2407.00071

Figure-derived thumbnail for Hybrid quantum-classical reservoir computing for simulating chaotic systems
2024
Open paper

Hybrid quantum-classical reservoir computing for simulating chaotic systems

Filip Wudarski, Daniel O'Connor, Shaun Geaney, Ata Akbari Asanjan, Max Wilson, Elena Strbac, P. Aaron Lott, Davide Venturelli arXiv preprint arXiv:2311.14105

Figure-derived thumbnail for Sequential Reservoir Computing for Efficient High-Dimensional Spatiotemporal Forecasting
2026
Open paper

Sequential Reservoir Computing for Efficient High-Dimensional Spatiotemporal Forecasting

Ata Akbari Asanjan, Filip Wudarski, Daniel O'Connor, Shaun Geaney, Elena Strbac, P. Aaron Lott, Davide Venturelli arXiv preprint arXiv:2601.00172