Multi-Agent Coordination for Distributed Transmit Beamforming. - Jemin George; Anjaly Parayil; He Bai 001 (CoRR, 2019)

Bifurcation-Based Control Law for Pattern Generation. - Anjaly Parayil; Ashwini Ratnoo (IEEE Control. Syst. Lett., 2019)

Cooperative Beam-Rider Guidance for Unmanned Aerial Vehicle Rendezvous. - Anjaly Parayil; Ashwini Ratnoo (J. Intell. Robotic Syst., 2019)

Multi-Agent Coordination for Distributed Transmit Beamforming. - Jemin George; Anjaly Parayil; Cemal Tugrul Yilmaz; Bethany L. Allik; He Bai 001; Aranya Chakrabortty (ACC, 2020)

To beam or not to beam? Beamforming with submodularity-inspired group sparsity. - Tzanis Anevlavis; Jonathan Bunton; Anjaly Parayil; Jemin George; Paulo Tabuada (CDC, 2020)

A Model-Free Approach to Distributed Transmit Beamforming. - Jemin George; Cemal Tugrul Yilmaz; Anjaly Parayil; Aranya Chakrabortty (ICASSP, 2020)

Distributed Tracking and Circumnavigation Using Bearing Measurements. - Anjaly Parayil; Jemin George (ICASSP, 2020)

Decentralized Langevin Dynamics for Bayesian Learning. - Anjaly Parayil; He Bai 001; Jemin George; Prudhvi Gurram (NeurIPS, 2020)

A Decentralized Approach to Bayesian Learning. - Anjaly Parayil; He Bai 001; Jemin George; Prudhvi Gurram (CoRR, 2020)

Joint Position and Beamforming Control via Alternating Nonlinear Least-Squares with a Hierarchical Gamma Prior. - Anjaly Parayil; Amrit Singh Bedi; Alec Koppel (ACC, 2021)

On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces. - Amrit Singh Bedi; Souradip Chakraborty; Anjaly Parayil; Brian M. Sadler; Pratap Tokekar; Alec Koppel (ICML, 2022)

How Different are the Cloud Workloads? Characterizing Large-Scale Private and Public Cloud Workloads. - Xiaoting Qin; Minghua Ma; Yuheng Zhao; Jue Zhang; Chao Du; Yudong Liu; Anjaly Parayil; Chetan Bansal; Saravan Rajmohan; Íñigo Goiri; Eli Cortez; Si Qin; et al. (DSN, 2023)

Detection Is Better Than Cure: A Cloud Incidents Perspective. - Vaibhav Ganatra; Anjaly Parayil; Supriyo Ghosh; Yu Kang 006; Minghua Ma; Chetan Bansal; Suman Nath; Jonathan Mace (ESEC/SIGSOFT FSE, 2023)

Intelligent Monitoring Framework for Cloud Services: A Data-Driven Approach. - Pooja Srinivas; Fiza Husain; Anjaly Parayil; Ayush Choure; Chetan Bansal; Saravan Rajmohan (ICSE-SEIP, 2024)

X-Lifecycle Learning for Cloud Incident Management using LLMs. - Drishti Goel; Fiza Husain; Aditya Singh; Supriyo Ghosh; Anjaly Parayil; Chetan Bansal; Xuchao Zhang; Saravan Rajmohan (SIGSOFT FSE Companion, 2024)

Workload Intelligence: Punching Holes Through the Cloud Abstraction. - Lexiang Huang; Anjaly Parayil; Jue Zhang; Xiaoting Qin; Chetan Bansal; Jovan Stojkovic; Pantea Zardoshti; Pulkit A. Misra; Eli Cortez; Raphael Ghelman; Íñigo Goiri; Saravan Rajmohan; et al. (CoRR, 2024)

Towards Cloud Efficiency with Large-scale Workload Characterization. - Anjaly Parayil; Jue Zhang; Xiaoting Qin; Íñigo Goiri; Lexiang Huang; Timothy Zhu; Chetan Bansal (CoRR, 2024)

Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Scheduling. - Kunal Jain; Anjaly Parayil; Ankur Mallick; Esha Choukse; Xiaoting Qin; Jue Zhang; Íñigo Goiri; Rujia Wang; Chetan Bansal; Victor Rühle; Anoop Kulkarni; Steve Kofsky; et al. (CoRR, 2024)

Streetwise Agents: Empowering Offline RL Policies to Outsmart Exogenous Stochastic Disturbances in RTC. - Aditya Soni; Mayukh Das; Anjaly Parayil; Supriyo Ghosh; Shivam Shandilya; Ching-An Cheng; Vishak Gopal; Sami Khairy; Gabriel Mittag; Yasaman Hosseinkashi; Chetan Bansal (CoRR, 2024)

Ensuring Fair LLM Serving Amid Diverse Applications. - Redwan Ibne Seraj Khan; Kunal Jain; Haiying Shen; Ankur Mallick; Anjaly Parayil; Anoop Kulkarni; Steve Kofsky; Pankhuri Choudhary; Renée St. Amant; Rujia Wang; Yue Cheng 001; Ali Raza Butt; et al. (CoRR, 2024)

On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control. - Amrit Singh Bedi; Anjaly Parayil; Junyu Zhang; Mengdi Wang; Alec Koppel (J. Mach. Learn. Res., 2024)

Performance Aware LLM Load Balancer for Mixed Workloads. - Kunal Jain; Anjaly Parayil; Ankur Mallick; Esha Choukse; Xiaoting Qin; Jue Zhang; Íñigo Goiri; Rujia Wang; Chetan Bansal; Victor Rühle; Anoop Kulkarni; Steve Kofsky; et al. (EuroMLSys, 2025)

Towards Workload-aware Cloud Efficiency: A Large-scale Empirical Study of Cloud Workload Characteristics. - Anjaly Parayil; Jue Zhang; Xiaoting Qin; Íñigo Goiri; Lexiang Huang; Timothy Zhu; Chetan Bansal (ICPE, 2025)

Serving Models, Fast and Slow:Optimizing Heterogeneous LLM Inferencing Workloads at Scale. - Shashwat Jaiswal; Kunal Jain; Yogesh Simmhan; Anjaly Parayil; Ankur Mallick; Rujia Wang; Renée St. Amant; Chetan Bansal; Victor Rühle; Anoop Kulkarni; Steve Kofsky; Saravan Rajmohan (CoRR, 2025)

AI Greenferencing: Routing AI Inferencing to Green Modular Data Centers with Heron. - Tella Rajashekhar Reddy; Palak 004; Rohan Gandhi; Anjaly Parayil; Chaojie Zhang; Mike Shepperd; Liangcheng Yu; Jayashree Mohan; Srinivasan Iyengar; Shivkumar Kalyanaraman; Debopam Bhattacherjee (CoRR, 2025)