Shreshth Tuli

According to our database, Shreshth Tuli authored at least 52 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

PreGAN+: Semi-Supervised Fault Prediction and Preemptive Migration in Dynamic Mobile Edge Environments.

Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings

IEEE Trans. Mob. Comput., June, 2024

TAGMol: Target-Aware Gradient-guided Molecule Generation.

Vineeth Dorna, D. Subhalingam, Keshav Kolluru, Shreshth Tuli, Mrityunjay Singh, Saurabh Singal, N. M. Anoop Krishnan, Sayan Ranu

CoRR, 2024

PhyPlan: Generalizable and Rapid Physical Task Planning with Physics Informed Skill Networks for Robot Manipulators.

Mudit Chopra, Abhinav Barnawal, Harshil Vagadia, Tamajit Banerjee, Shreshth Tuli, Souvik Chakraborty, Rohan Paul

CoRR, 2024

Uncertainty-aware Active Learning of NeRF-based Object Models for Robot Manipulators using Visual and Re-orientation Actions.

Saptarshi Dasgupta, Akshat Gupta, Shreshth Tuli, Rohan Paul

CoRR, 2024

PhyPlan: Compositional and Adaptive Physical Task Reasoning with Physics-Informed Skill Networks for Robot Manipulators.

Harshil Vagadia, Mudit Chopra, Abhinav Barnawal, Tamajit Banerjee, Shreshth Tuli, Souvik Chakraborty, Rohan Paul

CoRR, 2024

ActNeRF: Uncertainty-aware Active Learning of NeRF-based Object Models for Robot Manipulators using Visual and Re-orientation Actions.

Saptarshi Dasgupta, Akshat Gupta, Shreshth Tuli, Rohan Paul

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Unsupervised Learning of Neuro-symbolic Rules for Generalizable Context-aware Planning in Object Arrangement Tasks.

Siddhant Sharma, Shreshth Tuli, Rohan Paul

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

GOALNET: Interleaving Neural Goal Predicate Inference with Classical Planning for Generalization in Robot Instruction Following.

Jigyasa Gupta, Shreya Sharma, Shreshth Tuli, Rohan Paul, Mausam

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

CILP: Co-Simulation-Based Imitation Learner for Dynamic Resource Provisioning in Cloud Computing Environments.

Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings

IEEE Trans. Netw. Serv. Manag., December, 2023

SciNet: Codesign of Resource Management in Cloud Computing Environments.

Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings

IEEE Trans. Computers, December, 2023

SplitPlace: AI Augmented Splitting and Placement of Large-Scale Neural Networks in Mobile Edge Environments.

Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings

IEEE Trans. Mob. Comput., September, 2023

AI augmented Edge and Fog computing: Trends and challenges.

Shreshth Tuli, Fatemeh Mirhakimi, Samodha Pallewatta, Syed Zawad, Giuliano Casale, Bahman Javadi, Feng Yan, Rajkumar Buyya, Nicholas R. Jennings

J. Netw. Comput. Appl., July, 2023

Learning to Dynamically Select Cost Optimal Schedulers in Cloud Computing Environments.

Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings

SIGMETRICS Perform. Evaluation Rev., April, 2023

HunterPlus: AI based energy-efficient task scheduling for cloud-fog computing environments.

Sundas Iftikhar, Mirza Mohammad Mufleh Ahmad, Shreshth Tuli, Deepraj Chowdhury, Minxian Xu, Sukhpal Singh Gill, Steve Uhlig

Internet Things, April, 2023

DRAGON: Decentralized Fault Tolerance in Edge Federations.

Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings

IEEE Trans. Netw. Serv. Manag., March, 2023

START: Straggler Prediction and Mitigation for Cloud Computing Environments Using Encoder LSTM Networks.

Shreshth Tuli, Sukhpal Singh Gill, Peter Garraghan, Rajkumar Buyya, Giuliano Casale, Nicholas R. Jennings

IEEE Trans. Serv. Comput., 2023

FlexiBERT: Are Current Transformer Architectures too Homogeneous and Rigid?

Shikhar Tuli, Bhishma Dedhia, Shreshth Tuli, Niraj K. Jha

J. Artif. Intell. Res., 2023

DeepFT: Fault-Tolerant Edge Computing using a Self-Supervised Deep Surrogate Model.

Shreshth Tuli, Giuliano Casale, Ludmila Cherkasova, Nicholas R. Jennings

Proceedings of the IEEE INFOCOM 2023, 2023

Simulation-Driven Automated End-to-End Test and Oracle Inference.

Shreshth Tuli, Kinga Bojarczuk, Natalija Gucevska, Mark Harman, Xiao-Yu Wang, Graham Wright

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2023

Coupling QoS Co-Simulation with Online Adaptive Arrival Forecasting.

Yichong Chen, Manuel Roveri, Shreshth Tuli, Giuliano Casale

Proceedings of the 19th International Conference on Network and Service Management, 2023

2022

AI and Co-Simulation Driven Resource Management in Fog Computing Environments.

Shreshth Tuli

SIGMETRICS Perform. Evaluation Rev., December, 2022

COSCO: Container Orchestration Using Co-Simulation and Gradient Based Optimization for Fog Computing Environments.

Shreshth Tuli, Shivananda R. Poojara, Satish Narayana Srirama, Giuliano Casale, Nicholas R. Jennings

IEEE Trans. Parallel Distributed Syst., 2022

GOSH: Task Scheduling Using Deep Surrogate Models in Fog Computing Environments.

Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings

IEEE Trans. Parallel Distributed Syst., 2022

MCDS: AI Augmented Workflow Scheduling in Mobile Edge Cloud Computing Systems.

Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings

IEEE Trans. Parallel Distributed Syst., 2022

Dynamic Scheduling for Stochastic Edge-Cloud Computing Environments Using A3C Learning and Residual Recurrent Neural Networks.

Shreshth Tuli, Shashikant Ilager, Kotagiri Ramamohanarao, Rajkumar Buyya

IEEE Trans. Mob. Comput., 2022

SplitPlace: Intelligent Placement of Split Neural Nets in Mobile Edge Environments.

Shreshth Tuli

SIGMETRICS Perform. Evaluation Rev., 2022

TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data.

Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings

Proc. VLDB Endow., 2022

HUNTER: AI based holistic resource management for sustainable cloud computing.

Shreshth Tuli, Sukhpal Singh Gill, Minxian Xu, Peter Garraghan, Rami Bahsoon, Schahram Dustdar, Rizos Sakellariou, Omer F. Rana, Rajkumar Buyya, Giuliano Casale, Nicholas R. Jennings

J. Syst. Softw., 2022

TOOLTANGO: Common sense Generalization in Predicting Sequential Tool Interactions for Robot Plan Synthesis.

Shreshth Tuli, Rajas Bansal, Rohan Paul, Mausam

J. Artif. Intell. Res., 2022

RadNet: Incident Prediction in Spatio-Temporal Road Graph Networks Using Traffic Forecasting.

Shreshth Tuli, Matthew R. Wilkinson, Chris Kettell

CoRR, 2022

GoalNet: Inferring Conjunctive Goal Predicates from Human Plan Demonstrations for Robot Instruction Following.

Shreya Sharma, Jigyasa Gupta, Shreshth Tuli, Rohan Paul, Mausam

CoRR, 2022

Optimizing the Performance of Fog Computing Environments Using AI and Co-Simulation.

Shreshth Tuli, Giuliano Casale

Proceedings of the ICPE '22: ACM/SPEC International Conference on Performance Engineering, Bejing, China, April 9, 2022

TESCO: Multiple Simulations based AI-augmented Fog computing for QoS Optimization.

Sundas Iftikhar, Uttkarsh Raj, Shreshth Tuli, Muhammed Golec, Deepraj Chowdhury, Sukhpal Singh Gill, Steve Uhlig

Proceedings of the IEEE Smartworld, 2022

PreGAN: Preemptive Migration Prediction Network for Proactive Fault-Tolerant Edge Computing.

Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings

Proceedings of the IEEE INFOCOM 2022, 2022

CAROL: Confidence-Aware Resilience Model for Edge Federations.

Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings

Proceedings of the 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2022

MetaNet: Automated Dynamic Selection of Scheduling Policies in Cloud Environments.

Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings

Proceedings of the IEEE 15th International Conference on Cloud Computing, 2022

2021

Generative Optimization Networks for Memory Efficient Data Generation.

Shreshth Tuli, Shikhar Tuli, Giuliano Casale, Nicholas R. Jennings

CoRR, 2021

TANGO: Commonsense Generalization in Predicting Tool Interactions for Mobile Manipulators.

Shreshth Tuli, Rajas Bansal, Rohan Paul, Mausam

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

REAL: REquest Arbitration in Last Level Caches.

Sakshi Tiwari, Shreshth Tuli, Isaar Ahmad, Ayushi Agarwal, Preeti Ranjan Panda, Sreenivas Subramoney

ACM Trans. Embed. Comput. Syst., 2020

ThermoSim: Deep learning based framework for modeling and simulation of thermal-aware resource management for cloud computing environments.

Sukhpal Singh Gill, Shreshth Tuli, Adel Nadjaran Toosi, Félix Cuadrado, Peter Garraghan, Rami Bahsoon, Hanan Lutfiyya, Rizos Sakellariou, Omer F. Rana, Schahram Dustdar, Rajkumar Buyya

J. Syst. Softw., 2020

Next generation technologies for smart healthcare: challenges, vision, model, trends and future directions.

Shreshth Tuli, Shikhar Tuli, Gurleen Wander, Praneet Wander, Sukhpal Singh Gill, Schahram Dustdar, Rizos Sakellariou, Omer F. Rana

Internet Technol. Lett., 2020

iThermoFog: IoT-Fog based automatic thermal profile creation for cloud data centers using artificial intelligence techniques.

Shreshth Tuli, Sukhpal Singh Gill, Giuliano Casale, Nicholas R. Jennings

Internet Technol. Lett., 2020

Predicting the growth and trend of COVID-19 pandemic using machine learning and cloud computing.

Shreshth Tuli, Shikhar Tuli, Rakesh Tuli, Sukhpal Singh Gill

Internet Things, 2020

Shared data-aware dynamic resource provisioning and task scheduling for data intensive applications on hybrid clouds using Aneka.

Shreshth Tuli, Rajinder Sandhu, Rajkumar Buyya

Future Gener. Comput. Syst., 2020

HealthFog: An ensemble deep learning based Smart Healthcare System for Automatic Diagnosis of Heart Diseases in integrated IoT and fog computing environments.

Shreshth Tuli, Nipam Basumatary, Sukhpal Singh Gill, Mohsen Kahani, Rajesh Chand Arya, Gurpreet Singh Wander, Rajkumar Buyya

Future Gener. Comput. Syst., 2020

ToolNet: Using Commonsense Generalization for Predicting Tool Use for Robot Plan Synthesis.

Rajas Bansal, Shreshth Tuli, Rohan Paul, Mausam

CoRR, 2020

AVAC: A Machine Learning Based Adaptive RRAM Variability-Aware Controller for Edge Devices.

Shikhar Tuli, Shreshth Tuli

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

2019

FogBus: A Blockchain-based Lightweight Framework for Edge and Fog Computing.

Shreshth Tuli, Md. Redowan Mahmud, Shikhar Tuli, Rajkumar Buyya

J. Syst. Softw., 2019

Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges.

Sukhpal Singh Gill, Shreshth Tuli, Minxian Xu, Inderpreet Singh, Karan Vijay Singh, Dominic Lindsay, Shikhar Tuli, Daria Smirnova, Manmeet Singh, Udit Jain, Haris Pervaiz, Bhanu Sehgal, Sukhwinder Singh Kaila, Sanjay Misra, Mohammad Sadegh Aslanpour, Harshit Mehta, Vlado Stankovski, Peter Garraghan

Internet Things, 2019

iGateLink: A Gateway Library for Linking IoT, Edge, Fog and Cloud Computing Environments.

Riccardo Mancini, Shreshth Tuli, Tommaso Cucinotta, Rajkumar Buyya

CoRR, 2019

EdgeLens: Deep Learning based Object Detection in Integrated IoT, Fog and Cloud Computing Environments.

Shreshth Tuli, Nipam Basumatary, Rajkumar Buyya

CoRR, 2019

APEX: Adaptive Ext4 File System for Enhanced Data Recoverability in Edge Devices.

Shreshth Tuli, Shikhar Tuli, Udit Jain, Rajkumar Buyya

Proceedings of the 2019 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), 2019