Hardware Round-Robin Scheduler for Single-ISA Asymmetric Multi-core. - Nikola Markovic; Daniel Nemirovsky; Veljko Milutinovic; Osman S. Unsal; Mateo Valero; Adrián Cristal (Euro-Par, 2015)

Performance and Energy Efficient Hardware-Based Scheduler for Symmetric/Asymmetric CMPs. - Nikola Markovic; Daniel Nemirovsky; Osman S. Unsal; Mateo Valero; Adrián Cristal (SBAC-PAD, 2015)

Thread Lock Section-Aware Scheduling on Asymmetric Single-ISA Multi-Core. - Nikola Markovic; Daniel Nemirovsky; Osman S. Ünsal; Mateo Valero; Adrián Cristal (IEEE Comput. Archit. Lett., 2015)

Kernel-to-User-Mode Transition-Aware Hardware Scheduling. - Nikola Markovic; Daniel Nemirovsky; Osman S. Unsal; Mateo Valero; Adrián Cristal (IEEE Micro, 2015)

Reimagining Heterogeneous Computing: A Functional Instruction-Set Architecture Computing Model. - Daniel Nemirovsky; Nikola Markovic; Osman S. Unsal; Mateo Valero; Adrián Cristal (IEEE Micro, 2015)

Evasive flow capture: Optimal location of weigh-in-motion systems, tollbooths, and security checkpoints. - Nikola Markovic; Ilya O. Ryzhov; Paul M. Schonfeld (Networks, 2015)

Hardware thread scheduling algorithms for single-ISA asymmetric CMPs. - Nikola Markovic (2015)

A Deep Learning Mapper (DLM) for Scheduling on Heterogeneous Systems. - Daniel Nemirovsky; Tugberk Arkose; Nikola Markovic; Mario Nemirovsky; Osman S. Unsal; Adrián Cristal; Mateo Valero (CARLA, 2017)

A Machine Learning Approach for Performance Prediction and Scheduling on Heterogeneous CPUs. - Daniel Nemirovsky; Tugberk Arkose; Nikola Markovic; Mario Nemirovsky; Osman S. Unsal; Adrián Cristal (SBAC-PAD, 2017)

Applications of Trajectory Data in Transportation: Literature Review and Maryland Case Study. - Nikola Markovic; Przemyslaw Sekula; Zachary Vander Laan; Gennady L. Andrienko; Natalia V. Andrienko (CoRR, 2017)

Estimating Historical Hourly Traffic Volumes via Machine Learning and Vehicle Probe Data: A Maryland Case Study. - Przemyslaw Sekula; Nikola Markovic; Zachary Vander Laan; Kaveh Farokhi Sadabadi (CoRR, 2017)

Evasive flow capture: A multi-period stochastic facility location problem with independent demand. - Nikola Markovic; Ilya O. Ryzhov; Paul M. Schonfeld (Eur. J. Oper. Res., 2017)

A General Guide to Applying Machine Learning to Computer Architecture. - Daniel Nemirovsky; Tugberk Arkose; Nikola Markovic; Mario Nemirovsky; Osman S. Unsal; Adrián Cristal; Mateo Valero (Supercomput. Front. Innov., 2018)

Hybrid Condition Monitoring for Power Electronic Systems. - Nikola Markovic; Thomas Stoetzel; Volker Staudt; Dorothea Kolossa (ICMLA, 2019)

Applications of Trajectory Data From the Perspective of a Road Transportation Agency: Literature Review and Maryland Case Study. - Nikola Markovic; Przemyslaw Sekula; Zachary Vander Laan; Gennady L. Andrienko; Natalia V. Andrienko (IEEE Trans. Intell. Transp. Syst., 2019)

Condition Monitoring for Power Converters via Deep One-Class Classification. - Nikola Markovic; Daniel Vahle; Volker Staudt; Dorothea Kolossa (ICMLA, 2021)

Inferencing hourly traffic volume using data-driven machine learning and graph theory. - Zhiyan Yi; Xiaoyue Cathy Liu; Nikola Markovic; Jeff M. Phillips (Comput. Environ. Urban Syst., 2021)

General Aviation Aircraft Identification at Non-Towered Airports Using a Two-Step Computer Vision-Based Approach. - Mohammad Farhadmanesh; Abbas Rashidi; Nikola Markovic (IEEE Access, 2022)

Data-Driven Robust Resource Allocation with Monotonic Cost Functions. - Ye Chen; Nikola Markovic; Ilya O. Ryzhov; Paul M. Schonfeld (Oper. Res., 2022)

Glass Container Fill Level Measurement via Vibration on a Low-Power Embedded System. - Ali Raza; Nikola Markovic; Thomas Wolf; Pascal Romahn; Arndt-Hendrik Zinn; Dorothea Kolossa (COINS, 2023)

Hybrid Condition Monitoring for Power Converters: Learning-Based Methods With Statistical Guarantees. - Nikola Markovic; Thomas Stoetzel; Volker Staudt; Dorothea Kolossa (IEEE Access, 2023)

Reliable Fill-Level Monitoring of Recycling Glass Containers. - Nikola Markovic; Ali Raza; Steffen Zeiler; Thomas Wolf; Pascal Romahn; Arndt-Hendrik Zinn; Dorothea Kolossa (COINS, 2024)

A Computer Vision-Based Standalone System for Automated Operational Data Collection at Non-Towered Airports. - Mohammad Farhadmanesh; Abbas Rashidi; Abhishek Kumar Subedi; Nikola Markovic (IEEE Access, 2024)

Efficient post-earthquake reconnaissance planning using adaptive batch-mode active learning. - Amirhossein Cheraghi; Yinhu Wang; Nikola Markovic; Ge Ou (Adv. Eng. Informatics, 2024)

Improving Snowplowing Operations in Utah Through Optimization and Visualization. - Yinhu Wang; Ye Chen; Ilya O. Ryzhov; Xiaoyue Cathy Liu; Nikola Markovic (INFORMS J. Appl. Anal., 2024)

Resource Allocation in an Uncertain Environment: Application to Snowplowing Operations in Utah. - Yinhu Wang; Ye Chen; Ilya O. Ryzhov; Xiaoyue Cathy Liu; Nikola Markovic (Transp. Sci., 2024)

A GAN-Augmented CNN Approach for Automated Roadside Safety Assessment of Rural Roadways. - Ali Hassandokht Mashhadi; Abbas Rashidi; Nikola Markovic (J. Comput. Civ. Eng., 2024)

Empowering MetroAccess Service with Nested Decomposition and Service Type Integration. - Shijie Chen; Md Hishamur Rahman; Nikola Markovic; Muhammad Imran Younus Siddiqui; Matthew Mohebbi; Yanshuo Sun (INFORMS J. Appl. Anal., 2025)

A Hybrid Framework for Predicting Crash Severity in Construction Work Zones Using Knowledge Distillation and Conditional GANs. - Ali Hassandokht Mashhadi; Abbas Rashidi; Juan C. Medina; Nikola Markovic (J. Comput. Civ. Eng., 2025)

Traffic estimation in work zones using a custom regression model and data augmentation. - Ali Hassandokht Mashhadi; Abbas Rashidi; Masoud Hamedi; Nikola Markovic (Comput. Aided Civ. Infrastructure Eng., 2025)