Energy supply aware power planning for flexible loads. - Florian Niedermeier; Fiodar Kazhamiaka; Hermann de Meer (E2DC@e-Energy, 2016)

Li-ion storage models for energy system optimization: the accuracy-tractability tradeoff. - Fiodar Kazhamiaka; Catherine Rosenberg; Srinivasan Keshav; Karl-Heinz Pettinger (e-Energy, 2016)

Mayflower: Improving Distributed Filesystem Performance Through SDN/Filesystem Co-Design. - Sajjad Rizvi; Xi Li; Bernard Wong 001; Fiodar Kazhamiaka; Benjamin Cassell (ICDCS, 2016)

Robust and Practical Approaches for Solar PV and Storage Sizing. - Fiodar Kazhamiaka; Yashar Ghiassi-Farrokhfal; Srinivasan Keshav; Catherine Rosenberg (e-Energy, 2018)

Adaptive Battery Control with Neural Networks. - Fiodar Kazhamiaka; Srinivasan Keshav; Catherine Rosenberg (e-Energy, 2019)

Using Synthetic Traces for Robust Energy System Sizing. - Sun Sun; Fiodar Kazhamiaka; Srinivasan Keshav; Catherine Rosenberg (e-Energy, 2019)

Tractable lithium-ion storage models for optimizing energy systems. - Fiodar Kazhamiaka; Catherine Rosenberg; Srinivasan Keshav (Energy Inform., 2019)

Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning Workloads. - Deepak Narayanan; Keshav Santhanam; Fiodar Kazhamiaka; Amar Phanishayee; Matei Zaharia (OSDI, 2020)

Challenges and Opportunities for Autonomous Vehicle Query Systems. - Fiodar Kazhamiaka; Matei Zaharia; Peter Bailis (CIDR, 2021)

Sizing Solar Panels and Storage for Multiple Roofs. - Brad Guanqiao Huang; Fiodar Kazhamiaka; Srinivasan Keshav (e-Energy, 2021)

Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP. - Deepak Narayanan; Fiodar Kazhamiaka; Firas Abuzaid; Peter Kraft; Akshay Agrawal 001; Srikanth Kandula; Stephen P. Boyd; Matei Zaharia (SOSP, 2021)

Don't Give Up on Large Optimization Problems; POP Them! - Deepak Narayanan; Fiodar Kazhamiaka; Firas Abuzaid; Peter Kraft; Matei Zaharia (CoRR, 2021)

Beobench: a toolkit for unified access to building simulations for reinforcement learning. - Arduin Findeis; Fiodar Kazhamiaka; Scott Jeen; Srinivasan Keshav (e-Energy, 2022)

Data-Parallel Actors: A Programming Model for Scalable Query Serving Systems. - Peter Kraft; Fiodar Kazhamiaka; Peter Bailis; Matei Zaharia (NSDI, 2022)

Allocation of fungible resources via a fast, scalable price discovery method. - Akshay Agrawal 001; Stephen P. Boyd; Deepak Narayanan; Fiodar Kazhamiaka; Matei Zaharia (Math. Program. Comput., 2022)

Parallelism-Optimizing Data Placement for Faster Data-Parallel Computations. - Nirvik Baruah; Peter Kraft; Fiodar Kazhamiaka; Peter Bailis; Matei Zaharia (Proc. VLDB Endow., 2022)

Comparison of Different Approaches for Solar PV and Storage Sizing. - Fiodar Kazhamiaka; Yashar Ghiassi-Farrokhfal; Srinivasan Keshav; Catherine Rosenberg (IEEE Trans. Sustain. Comput., 2022)

Carbon Explorer: A Holistic Framework for Designing Carbon Aware Datacenters. - Bilge Acun; Benjamin Lee; Fiodar Kazhamiaka; Kiwan Maeng; Udit Gupta; Manoj Chakkaravarthy; David Brooks 001; Carole-Jean Wu (ASPLOS (2), 2023)

Myths and Misconceptions Around Reducing Carbon Embedded in Cloud Platforms. - Jialun Lyu; Jaylen Wang; Kali Frost; Chaojie Zhang; Celine Irvene; Esha Choukse; Rodrigo Fonseca; Ricardo Bianchini; Fiodar Kazhamiaka; Daniel S. Berger (HotCarbon, 2023)

Designing Cloud Servers for Lower Carbon. - Jaylen Wang; Daniel S. Berger; Fiodar Kazhamiaka; Celine Irvene; Chaojie Zhang; Esha Choukse; Kali Frost; Rodrigo Fonseca; Brijesh Warrier; Chetan Bansal; Jonathan Stern; Ricardo Bianchini; et al. (ISCA, 2024)

Dense Server Design for Immersion Cooling. - Milin Kodnongbua; Zachary Englhardt; Ricardo Bianchini; Rodrigo Fonseca; Alvin R. Lebeck; Daniel S. Berger; Vikram Iyer; Fiodar Kazhamiaka; Adriana Schulz (ACM Trans. Graph., 2024)

Octopus: Scalable Low-Cost CXL Memory Pooling. - Daniel S. Berger; Yuhong Zhong; Pantea Zardoshti; Shuwei Teng; Fiodar Kazhamiaka; Rodrigo Fonseca (CoRR, 2025)