Content-Based Cognitive Interference Control for City Monitoring Applications in the Urban IoT. - Sabur Baidya; Marco Levorato (GLOBECOM, 2016)

Content-based interference management for video transmission in D2D communications underlaying LTE. - Sabur Baidya; Marco Levorato (ICNC, 2017)

Edge-assisted content and computation-driven dynamic network selection for real-time services in the urban IoT. - Sabur Baidya; Marco Levorato (INFOCOM Workshops, 2017)

eBPF-based content and computation-aware communication for real-time edge computing. - Sabur Baidya; Yan Chen; Marco Levorato (INFOCOM Workshops, 2018)

FlyNetSim: An Open Source Synchronized UAV Network Simulator based on ns-3 and Ardupilot. - Sabur Baidya; Zoheb Shaikh; Marco Levorato (MSWiM, 2018)

Robust Multi-Path Communications for UAVs in the Urban IoT. - Zoheb Shaikh; Sabur Baidya; Marco Levorato (SECON Workshops, 2018)

Content-Aware Cognitive Interference Control for Urban IoT Systems. - Sabur Baidya; Marco Levorato (IEEE Trans. Cogn. Commun. Netw., 2018)

Information Autonomy: Self-Adaptive Information Management for Edge-Assisted Autonomous UAV Systems. - Davide Callegaro; Sabur Baidya; Gowri Sankar Ramachandran; Bhaskar Krishnamachari; Marco Levorato (MILCOM, 2019)

Distilled Split Deep Neural Networks for Edge-Assisted Real-Time Systems. - Yoshitomo Matsubara; Sabur Baidya; Davide Callegaro; Marco Levorato; Sameer Singh 001 (HotEdgeVideo@MobiCom, 2019)

A Measurement Study on Edge Computing for Autonomous UAVs. - Davide Callegaro; Sabur Baidya; Marco Levorato (MAGESys@SIGCOMM, 2019)

Vehicular and Edge Computing for Emerging Connected and Autonomous Vehicle Applications. - Sabur Baidya; Yu-Jen Ku; Hengyu Zhao; Jishen Zhao; Sujit Dey (DAC, 2020)

On the Feasibility of Infrastructure Assistance to Autonomous UAV Systems. - Sabur Baidya; Marco Levorato (DCOSS, 2020)

Data-Driven Path Selection for Real-Time Video Streaming at the Network Edge. - Sabur Baidya; Peyman Tehrani; Marco Levorato (ICC Workshops, 2020)

Dynamic Distributed Computing for Infrastructure-Assisted Autonomous UAVs. - Davide Callegaro; Sabur Baidya; Marco Levorato (ICC, 2020)

Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-Constrained Edge Computing Systems. - Yoshitomo Matsubara; Davide Callegaro; Sabur Baidya; Marco Levorato; Sameer Singh 001 (IEEE Access, 2020)

A study of state-of-the-art energy saving on edges. - Kousalya Banka; Kun Suo; Yong Shi 002; Sabur Baidya (ACM Southeast Conference, 2021)

Characterizing networking performance and interrupt overhead of container overlay networks. - Kun Suo; Yong Shi 002; Ahyoung Lee; Sabur Baidya (ACM Southeast Conference, 2021)

Contention-aware Adaptive Model Selection for Machine Vision in Embedded Systems. - Basar Kütükçü; Sabur Baidya; Anand Raghunathan; Sujit Dey (AICAS, 2021)

Tackling Cold Start of Serverless Applications by Efficient and Adaptive Container Runtime Reusing. - Kun Suo; Junggab Son; Dazhao Cheng; Wei Chen 038; Sabur Baidya (CLUSTER, 2021)

Adaptive Computation Partitioning and Offloading in Real-Time Sustainable Vehicular Edge Computing. - Yu-Jen Ku; Sabur Baidya; Sujit Dey (IEEE Trans. Veh. Technol., 2021)

Digital Twin in Safety-Critical Robotics Applications: Opportunities and Challenges. - Sabur Baidya; Sumit K. Das; Mohammad Helal Uddin; Chase Kosek; Chris Summers (IPCCC, 2022)

Adaptive C-V2X Sidelink Communications for Vehicular Applications Beyond Safety Messages. - Yu-Jen Ku; Bryse Flowers; Samuel Thornton; Sabur Baidya; Sujit Dey (VTC Spring, 2022)

Edge-assisted Collaborative Digital Twin for Safety-Critical Robotics in Industrial IoT. - Sumit K. Das; Mohammad Helal Uddin; Sabur Baidya (CoRR, 2022)

Contention Grading and Adaptive Model Selection for Machine Vision in Embedded Systems. - Basar Kütükçü; Sabur Baidya; Anand Raghunathan; Sujit Dey (ACM Trans. Embed. Comput. Syst., 2022)

Neuro-Adaptive Dynamic Control with Edge-Computing for Collaborative Digital Twin of an Industrial Robotic Manipulator. - Sumit Kumar Das; Mohammad Helal Uddin; Dan O. Popa; Sabur Baidya (ICRA, 2023)

Optimizing Neural Network Efficiency with Hybrid Magnitude-Based and Node Pruning for Energy-efficient Computing in IoT. - Mohammad Helal Uddin; Sabur Baidya (IoTDI, 2023)

Performance Tradeoff in DNN-based Coexisting Applications in Resource-Constrained Cyber-Physical Systems. - Elijah Spicer; Sabur Baidya (SMARTCOMP, 2023)

EvoSh: Evolutionary Search with Shaving to Enable Power-Latency Tradeoff in Deep Learning Computing on Embedded Systems. - Basar Kütükçü; Sabur Baidya; Anand Raghunathan; Sujit Dey (SOCC, 2023)

Adversarial Security and Differential Privacy in mmWave Beam Prediction in 6G networks. - Ghanta Sai Krishna; Kundrapu Supriya; Sanskar Singh; Sabur Baidya (CoRR, 2023)

3DS-SLAM: A 3D Object Detection based Semantic SLAM towards Dynamic Indoor Environments. - Ghanta Sai Krishna; Kundrapu Supriya; Sabur Baidya (CoRR, 2023)

Control Barrier Function Based UAV Safety Controller in Autonomous Airborne Tracking and Following Systems. - Promit Panja; Jesse B. Hoagg; Sabur Baidya (CoRR, 2023)

Uncertainty-Aware Task Offloading for Multi-Vehicle Perception Fusion Over Vehicular Edge Computing. - Yu-Jen Ku; Sabur Baidya; Sujit Dey (IEEE Trans. Veh. Technol., 2023)

Closed-Loop Telerobotics over Software-Defined Radio based 5G Wireless Testbed. - Raju Garuda; Narges Golmohammadi; Mohammad Helal Uddin; Sabur Baidya (INFOCOM (Workshops), 2024)

Lyapunov-Optimized 5G-Sliced Communications for Telerobotic Applications. - Narges Golmohammadi; Madan Mohan Rayguru; Sabur Baidya (INFOCOM (Workshops), 2024)

Fast and Scalable Design Space Exploration for Deep Learning on Embedded Systems. - Basar Kütükçü; Sabur Baidya; Sujit Dey (IEEE Access, 2024)

Cyber Security in Containerization Platforms: A Comparative Study of Security Challenges, Measures and Best Practices. - Sohome Adhikari; Sabur Baidya (CoRR, 2024)

Large Language Models on Small Resource-Constrained Systems: Performance Characterization, Analysis and Trade-offs. - Liam Seymour; Basar Kütükçü; Sabur Baidya (CoRR, 2024)

Utilizing Reinforcement Learning for Adaptive Sensor Data Sharing Over C-V2X Communications. - Bryse Flowers; Yu-Jen Ku; Sabur Baidya; Sujit Dey (IEEE Trans. Veh. Technol., 2024)

SLEXNet: Adaptive Inference Using Slimmable Early Exit Neural Networks. - Basar Kütükçü; Sabur Baidya; Sujit Dey (ACM Trans. Embed. Comput. Syst., 2024)

Predicting Human Depression with Hybrid Data Acquisition Utilizing Physical Activity Sensing and Social Media Feeds. - Mohammad Helal Uddin; Sabur Baidya (PerCom Workshops, 2025)

JExplore: Design Space Exploration Tool for Nvidia Jetson Boards. - Basar Kütükçü; Sinan Xie; Sabur Baidya; Sujit Dey (CoRR, 2025)

A Hierarchical Optimization Framework Using Deep Reinforcement Learning for Task-Driven Bandwidth Allocation in 5G Teleoperation. - Narges Golmohammadi; Madan Mohan Rayguru; Sabur Baidya (CoRR, 2025)

UAV Control with Vision-based Hand Gesture Recognition over Edge-Computing. - Sousannah Abdalla; Sabur Baidya (CoRR, 2025)

Large Language Models in the IoT Ecosystem - A Survey on Security Challenges and Applications. - Kushal Khatiwada; Jayden Hopper; Joseph Cheatham; Ayan Joshi; Sabur Baidya (CoRR, 2025)

ACCESS-AV: Adaptive Communication-Computation Codesign for Sustainable Autonomous Vehicle Localization in Smart Factories. - Rajat Bhattacharjya; Arnab Sarkar 001; Ish Kool; Sabur Baidya; Nikil D. Dutt (CoRR, 2025)