Energy-Aware Real-Time Face Recognition System on Mobile CPU-GPU Platform. - Yi-Chu Wang; Bryan Donyanavard; Kwang-Ting (Tim) Cheng (ECCV Workshops (1), 2010)

SPARTA: runtime task allocation for energy efficient heterogeneous many-cores. - Bryan Donyanavard; Tiago Mück; Santanu Sarma; Nikil D. Dutt (CODES+ISSS, 2016)

On Detecting and Using Memory Phases in Multimedia Systems. - Hossein Tajik; Bryan Donyanavard; Nikil D. Dutt (ESTIMedia, 2016)

Automatic management of Software Programmable Memories in Many-core Architectures. - Aviral Shrivastava; Nikil D. Dutt; Jian Cai 001; Majid Shoushtari; Bryan Donyanavard; Hossein Tajik (IET Comput. Digit. Tech., 2016)

SPMPool: Runtime SPM Management for Memory-Intensive Applications in Embedded Many-Cores. - Hossein Tajik; Bryan Donyanavard; Nikil D. Dutt; Janmartin Jahn; Jörg Henkel (ACM Trans. Embed. Comput. Syst., 2016)

Exploring fast and slow memories in HMP core types: work-in-progress. - Bryan Donyanavard; Amir Mahdi Hosseini Monazzah; Tiago Mück; Nikil D. Dutt (CODES+ISSS, 2017)

PoIiCym: rapid prototyping of resource management policies for HMPs. - Tiago Mück; Bryan Donyanavard; Nikil D. Dutt (RSP, 2017)

SPECTR: Formal Supervisory Control and Coordination for Many-core Systems Resource Management. - Amir M. Rahmani; Bryan Donyanavard; Tiago Mück; Kasra Moazzemi; Axel Jantsch; Onur Mutlu; Nikil D. Dutt (ASPLOS, 2018)

Gain scheduled control for nonlinear power management in CMPs. - Bryan Donyanavard; Amir M. Rahmani; Tiago Mück; Kasra Moazemmi; Nikil D. Dutt (DATE, 2018)

Design methodologies for enabling self-awareness in autonomous systems. - Armin Sadighi; Bryan Donyanavard; Thawra Kadeed; Kasra Moazzemi; Tiago Mück; Ahmed Nassar 001; Amir M. Rahmani; Thomas Wild; Nikil D. Dutt; Rolf Ernst; Andreas Herkersdorf; Fadi J. Kurdahi (DATE, 2018)

ShaVe-ICE: Sharing Distributed Virtualized SPMs in Many-Core Embedded Systems. - Majid Shoushtari; Bryan Donyanavard; Luis Angel D. Bathen; Nikil D. Dutt (ACM Trans. Embed. Comput. Syst., 2018)

Design Methodology for Responsive and Rrobust MIMO Control of Heterogeneous Multicores. - Tiago Mück; Bryan Donyanavard; Kasra Moazzemi; Amir M. Rahmani; Axel Jantsch; Nikil D. Dutt (IEEE Trans. Multi Scale Comput. Syst., 2018)

The information processing factory: a paradigm for life cycle management of dependable systems. - Eberle A. Rambo; Thawra Kadeed; Rolf Ernst; Minjun Seo; Fadi J. Kurdahi; Bryan Donyanavard; Caio Batista de Melo; Biswadip Maity; Kasra Moazzemi; Kenneth Michael Stewart; Saehanseul Yi; Amir M. Rahmani; et al. (CODES+ISSS, 2019)

Workload Characterization for Memory Management in Emerging Embedded Platforms. - Biswadip Maity; Bryan Donyanavard; Nalini Venkatasubramanian; Nikil D. Dutt (IESS, 2019)

SOSA: Self-Optimizing Learning with Self-Adaptive Control for Hierarchical System-on-Chip Management. - Bryan Donyanavard; Tiago Mück; Amir M. Rahmani; Nikil D. Dutt; Armin Sadighi; Florian Maurer 003; Andreas Herkersdorf (MICRO, 2019)

The Information Processing Factory: Organization, Terminology, and Definitions. - Eberle A. Rambo; Bryan Donyanavard; Minjun Seo; Florian Maurer 003; Thawra Kadeed; Caio Batista de Melo; Biswadip Maity; Anmol Surhonne; Andreas Herkersdorf; Fadi J. Kurdahi; Nikil D. Dutt; Rolf Ernst (CoRR, 2019)

Adaptive Resource Management for Mobile Multiprocessors through Computational Self-Awareness. - Bryan Donyanavard (2019)

Dynamic iFogSim: A Framework for Full-Stack Simulation of Dynamic Resource Management in IoT Systems. - Dongjoo Seo; Sina Shahhosseini; Milad Asgari Mehrabadi; Bryan Donyanavard; Sung-Soo Lim; Amir M. Rahmani; Nikil D. Dutt (COINS, 2020)

Emergent Control of MPSoC Operation by a Hierarchical Supervisor / Reinforcement Learning Approach. - Florian Maurer 003; Bryan Donyanavard; Amir M. Rahmani; Nikil D. Dutt; Andreas Herkersdorf (DATE, 2020)

Self-aware Memory Management for Emerging Energy-efficient Architectures. - Biswadip Maity; Bryan Donyanavard; Nikil D. Dutt (IGSC (Workshops), 2020)

Intelligent Management of Mobile Systems through Computational Self-Awareness. - Bryan Donyanavard; Amir M. Rahmani; Axel Jantsch; Onur Mutlu; Nikil D. Dutt (CoRR, 2020)

AXES: Approximation Manager for Emerging Memory Architectures. - Biswadip Maity; Bryan Donyanavard; Anmol Surhonne; Amir M. Rahmani; Andreas Herkersdorf; Nikil D. Dutt (CoRR, 2020)

Reflecting on Self-Aware Systems-on-Chip. - Bryan Donyanavard; Tiago Mück; Kasra Moazzemi; Biswadip Maity; Caio Batista de Melo; Kenneth Michael Stewart; Saehanseul Yi; Amir M. Rahmani; Nikil D. Dutt (A Journey of Embedded and Cyber-Physical Systems, 2021)

Cross-layer Configuration Optimization for Localization on Resource-constrained Devices. - Sandra Hernández; José Araujo; Patric Jensfelt; Ioannis Karagiannis; Ananya Muddukrishna; Bryan Donyanavard (IROS, 2021)

MARS: Middleware for Adaptive Reflective Computer Systems. - Tiago Mück; Bryan Donyanavard; Biswadip Maity; Kasra Moazzemi; Nikil D. Dutt (CoRR, 2021)

Predicting Failures in Embedded Systems Using Long Short-Term Inference. - Tianyi Zhang; Minjun Seo; Bryan Donyanavard; Nikil D. Dutt; Fadi J. Kurdahi (IEEE Embed. Syst. Lett., 2021)

SEAMS: Self-Optimizing Runtime Manager for Approximate Memory Hierarchies. - Biswadip Maity; Bryan Donyanavard; Anmol Surhonne; Amir M. Rahmani; Andreas Herkersdorf; Nikil D. Dutt (ACM Trans. Embed. Comput. Syst., 2021)

Chauffeur: Benchmark Suite for Design and End-to-End Analysis of Self-Driving Vehicles on Embedded Systems. - Biswadip Maity; Saehanseul Yi; Dongjoo Seo; Leming Cheng; Sung-Soo Lim; Jong-Chan Kim; Bryan Donyanavard; Nikil D. Dutt (ACM Trans. Embed. Comput. Syst., 2021)

Hybrid Learning for Orchestrating Deep Learning Inference in Multi-user Edge-cloud Networks. - Sina Shahhosseini; Tianyi Hu; Dongjoo Seo; Anil Kanduri; Bryan Donyanavard; Amir M. Rahmani; Nikil D. Dutt (ISQED, 2022)

ProSwap: Period-aware Proactive Swapping to Maximize Embedded Application Performance. - Dongjoo Seo; Biswadip Maity; Ping-Xiang Chen; Dukyoung Yun; Bryan Donyanavard; Nikil D. Dutt (NAS, 2022)

The Self-Aware Information Processing Factory Paradigm for Mixed-Critical Multiprocessing. - Eberle A. Rambo; Bryan Donyanavard; Minjun Seo; Florian Maurer 003; Thawra Kadeed; Caio Batista de Melo; Biswadip Maity; Anmol Surhonne; Andreas Herkersdorf; Fadi J. Kurdahi; Nikil D. Dutt; Rolf Ernst (IEEE Trans. Emerg. Top. Comput., 2022)

Online Learning for Orchestration of Inference in Multi-user End-edge-cloud Networks. - Sina Shahhosseini; Dongjoo Seo; Anil Kanduri; Tianyi Hu; Sung-Soo Lim; Bryan Donyanavard; Amir M. Rahmani; Nikil D. Dutt (ACM Trans. Embed. Comput. Syst., 2022)

Tutorial: MARS: A Framework for Runtime Monitoring, Modeling, and Management of Realtime Systems. - Bryan Donyanavard; Nikil D. Dutt; Biswadip Maity; Parth Malani; Tiago Mück (CODES+ISSS, 2023)

Lightning Talk: The New Era of Computational Cognitive Intelligence. - Nikil D. Dutt; Bryan Donyanavard (DAC, 2023)

Information Processing Factory 2.0 - Self-awareness for Autonomous Collaborative Systems. - Nora Sperling; Alex Bendrick; Dominik Stöhrmann; Rolf Ernst; Bryan Donyanavard; Florian Maurer 003; Oliver Lenke; Anmol Surhonne; Andreas Herkersdorf; Walaa Amer; Caio Batista de Melo; Ping-Xiang Chen; et al. (DATE, 2023)

Machine learning in run-time control of multicore processor systems. - Florian Maurer 003; Moritz Thoma; Anmol Prakash Surhonne; Bryan Donyanavard; Andreas Herkersdorf (it Inf. Technol., 2023)

Back to the Future: Reversible Runtime Neural Network Pruning for Safe Autonomous Systems. - Danny Abraham; Biswadip Maity; Bryan Donyanavard; Nikil D. Dutt (DATE, 2024)

Generating and Predicting Output Perturbations in Image Segmenters. - Matthew Bozoukov; Nguyen Anh Vu Doan; Bryan Donyanavard (DATE, 2025)

SPEED: Scalable and Predictable EnhancEments for Data Handling in Autonomous Systems. - Dongjoo Seo; Changhoon Sung; Junseok Park; Ping-Xiang Chen; Bryan Donyanavard; Nikil D. Dutt (ISQED, 2025)