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Sabur Baidya
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2020 – today
- 2024
- [j8]Basar Kütükçü, Sabur Baidya, Sujit Dey:
Fast and Scalable Design Space Exploration for Deep Learning on Embedded Systems. IEEE Access 12: 148254-148266 (2024) - [j7]Basar Kütükçü, Sabur Baidya, Sujit Dey:
SLEXNet: Adaptive Inference Using Slimmable Early Exit Neural Networks. ACM Trans. Embed. Comput. Syst. 23(6): 104:1-104:29 (2024) - [j6]Bryse Flowers, Yu-Jen Ku, Sabur Baidya, Sujit Dey:
Utilizing Reinforcement Learning for Adaptive Sensor Data Sharing Over C-V2X Communications. IEEE Trans. Veh. Technol. 73(3): 4051-4066 (2024) - [c25]Raju Garuda, Narges Golmohammadi, Mohammad Helal Uddin, Sabur Baidya:
Closed-Loop Telerobotics over Software-Defined Radio based 5G Wireless Testbed. INFOCOM (Workshops) 2024: 1-2 - [c24]Narges Golmohammadi, Madan Mohan Rayguru, Sabur Baidya:
Lyapunov-Optimized 5G-Sliced Communications for Telerobotic Applications. INFOCOM (Workshops) 2024: 1-6 - [i13]Sohome Adhikari, Sabur Baidya:
Cyber Security in Containerization Platforms: A Comparative Study of Security Challenges, Measures and Best Practices. CoRR abs/2404.18082 (2024) - 2023
- [j5]Yu-Jen Ku, Sabur Baidya, Sujit Dey:
Uncertainty-Aware Task Offloading for Multi-Vehicle Perception Fusion Over Vehicular Edge Computing. IEEE Trans. Veh. Technol. 72(11): 14906-14923 (2023) - [c23]Sumit Kumar Das, Mohammad Helal Uddin, Dan O. Popa, Sabur Baidya:
Neuro-Adaptive Dynamic Control with Edge-Computing for Collaborative Digital Twin of an Industrial Robotic Manipulator. ICRA 2023: 12316-12323 - [c22]Mohammad Helal Uddin, Sabur Baidya:
Optimizing Neural Network Efficiency with Hybrid Magnitude-Based and Node Pruning for Energy-efficient Computing in IoT. IoTDI 2023: 474-476 - [c21]Elijah Spicer, Sabur Baidya:
Performance Tradeoff in DNN-based Coexisting Applications in Resource-Constrained Cyber-Physical Systems. SMARTCOMP 2023: 219-221 - [c20]Basar Kütükçü, Sabur Baidya, Anand Raghunathan, Sujit Dey:
EvoSh: Evolutionary Search with Shaving to Enable Power-Latency Tradeoff in Deep Learning Computing on Embedded Systems. SOCC 2023: 1-6 - [i12]Ghanta Sai Krishna, Kundrapu Supriya, Sanskar Singh, Sabur Baidya:
Adversarial Security and Differential Privacy in mmWave Beam Prediction in 6G networks. CoRR abs/2305.09679 (2023) - [i11]Ghanta Sai Krishna, Kundrapu Supriya, Sabur Baidya:
3DS-SLAM: A 3D Object Detection based Semantic SLAM towards Dynamic Indoor Environments. CoRR abs/2310.06385 (2023) - [i10]Promit Panja, Jesse B. Hoagg, Sabur Baidya:
Control Barrier Function Based UAV Safety Controller in Autonomous Airborne Tracking and Following Systems. CoRR abs/2312.17215 (2023) - 2022
- [j4]Basar Kütükçü, Sabur Baidya, Anand Raghunathan, Sujit Dey:
Contention Grading and Adaptive Model Selection for Machine Vision in Embedded Systems. ACM Trans. Embed. Comput. Syst. 21(5): 55:1-55:29 (2022) - [c19]Sabur Baidya, Sumit K. Das, Mohammad Helal Uddin, Chase Kosek, Chris Summers:
Digital Twin in Safety-Critical Robotics Applications: Opportunities and Challenges. IPCCC 2022: 101-107 - [c18]Yu-Jen Ku, Bryse Flowers, Samuel Thornton, Sabur Baidya, Sujit Dey:
Adaptive C-V2X Sidelink Communications for Vehicular Applications Beyond Safety Messages. VTC Spring 2022: 1-6 - [i9]Sumit K. Das, Mohammad Helal Uddin, Sabur Baidya:
Edge-assisted Collaborative Digital Twin for Safety-Critical Robotics in Industrial IoT. CoRR abs/2209.12854 (2022) - [i8]Sabur Baidya, Sumit K. Das, Mohammad Helal Uddin, Chase Kosek, Chris Summers:
Digital Twin in Safety-Critical Robotics Applications: Opportunities and Challenges. CoRR abs/2209.12856 (2022) - 2021
- [j3]Yu-Jen Ku, Sabur Baidya, Sujit Dey:
Adaptive Computation Partitioning and Offloading in Real-Time Sustainable Vehicular Edge Computing. IEEE Trans. Veh. Technol. 70(12): 13221-13237 (2021) - [c17]Kun Suo, Yong Shi, Ahyoung Lee, Sabur Baidya:
Characterizing networking performance and interrupt overhead of container overlay networks. ACM Southeast Conference 2021: 93-99 - [c16]Kousalya Banka, Kun Suo, Yong Shi, Sabur Baidya:
A study of state-of-the-art energy saving on edges. ACM Southeast Conference 2021: 224-228 - [c15]Basar Kütükçü, Sabur Baidya, Anand Raghunathan, Sujit Dey:
Contention-aware Adaptive Model Selection for Machine Vision in Embedded Systems. AICAS 2021: 1-4 - [c14]Kun Suo, Junggab Son, Dazhao Cheng, Wei Chen, Sabur Baidya:
Tackling Cold Start of Serverless Applications by Efficient and Adaptive Container Runtime Reusing. CLUSTER 2021: 433-443 - 2020
- [j2]Yoshitomo Matsubara, Davide Callegaro, Sabur Baidya, Marco Levorato, Sameer Singh:
Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-Constrained Edge Computing Systems. IEEE Access 8: 212177-212193 (2020) - [c13]Sabur Baidya, Yu-Jen Ku, Hengyu Zhao, Jishen Zhao, Sujit Dey:
Vehicular and Edge Computing for Emerging Connected and Autonomous Vehicle Applications. DAC 2020: 1-6 - [c12]Sabur Baidya, Marco Levorato:
On the Feasibility of Infrastructure Assistance to Autonomous UAV Systems. DCOSS 2020: 296-303 - [c11]Sabur Baidya, Peyman Tehrani, Marco Levorato:
Data-Driven Path Selection for Real-Time Video Streaming at the Network Edge. ICC Workshops 2020: 1-6 - [c10]Davide Callegaro, Sabur Baidya, Marco Levorato:
Dynamic Distributed Computing for Infrastructure-Assisted Autonomous UAVs. ICC 2020: 1-6 - [i7]Sabur Baidya, Peyman Tehrani, Marco Levorato:
Data-Driven Path Selection for Real-Time Video Streaming at the Network Edge. CoRR abs/2004.01300 (2020)
2010 – 2019
- 2019
- [c9]Davide Callegaro, Sabur Baidya, Gowri Sankar Ramachandran, Bhaskar Krishnamachari, Marco Levorato:
Information Autonomy: Self-Adaptive Information Management for Edge-Assisted Autonomous UAV Systems. MILCOM 2019: 40-45 - [c8]Yoshitomo Matsubara, Sabur Baidya, Davide Callegaro, Marco Levorato, Sameer Singh:
Distilled Split Deep Neural Networks for Edge-Assisted Real-Time Systems. HotEdgeVideo@MobiCom 2019: 21-26 - [c7]Davide Callegaro, Sabur Baidya, Marco Levorato:
A Measurement Study on Edge Computing for Autonomous UAVs. MAGESys@SIGCOMM 2019: 29-35 - [i6]Sabur Baidya, Marco Levorato:
On the Feasibility of Infrastructure Assistance to Autonomous UAV Systems. CoRR abs/1907.10689 (2019) - 2018
- [j1]Sabur Baidya, Marco Levorato:
Content-Aware Cognitive Interference Control for Urban IoT Systems. IEEE Trans. Cogn. Commun. Netw. 4(3): 500-512 (2018) - [c6]Sabur Baidya, Yan Chen, Marco Levorato:
eBPF-based content and computation-aware communication for real-time edge computing. INFOCOM Workshops 2018: 865-870 - [c5]Sabur Baidya, Zoheb Shaikh, Marco Levorato:
FlyNetSim: An Open Source Synchronized UAV Network Simulator based on ns-3 and Ardupilot. MSWiM 2018: 37-45 - [c4]Zoheb Shaikh, Sabur Baidya, Marco Levorato:
Robust Multi-Path Communications for UAVs in the Urban IoT. SECON Workshops 2018: 29-33 - [i5]Zoheb Shaikh, Sabur Baidya, Marco Levorato:
Robust Multi-Path Communications for UAVs in the Urban IoT. CoRR abs/1805.00151 (2018) - [i4]Sabur Baidya, Yan Chen, Marco Levorato:
eBPF-based Content and Computation-aware Communication for Real-time Edge Computing. CoRR abs/1805.02797 (2018) - [i3]Sabur Baidya, Zoheb Shaikh, Marco Levorato:
FlyNetSim: An Open Source Synchronized UAV Network Simulator based on ns-3 and Ardupilot. CoRR abs/1808.04967 (2018) - 2017
- [c3]Sabur Baidya, Marco Levorato:
Content-based interference management for video transmission in D2D communications underlaying LTE. ICNC 2017: 144-149 - [c2]Sabur Baidya, Marco Levorato:
Edge-assisted content and computation-driven dynamic network selection for real-time services in the urban IoT. INFOCOM Workshops 2017: 796-801 - 2016
- [c1]Sabur Baidya, Marco Levorato:
Content-Based Cognitive Interference Control for City Monitoring Applications in the Urban IoT. GLOBECOM 2016: 1-6 - [i2]Sabur Baidya, Marco Levorato:
Content-Based Interference Management for Video Transmission in D2D Communications Underlaying LTE. CoRR abs/1606.01953 (2016) - [i1]Sabur Baidya, Marco Levorato:
Content-based Cognitive Interference Control for City Monitoring Applications in the Urban IoT. CoRR abs/1606.01965 (2016)
Coauthor Index
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last updated on 2024-11-07 21:34 CET by the dblp team
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