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Shikhar Tuli
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Predicting the growth and trend of COVID-19 pandemic using machine learning and cloud computing
S Tuli, S Tuli, R Tuli, SS Gill
Internet of things 11, 100222, 2020
5212020
Transformative effects of IoT, Blockchain and Artificial Intelligence on Cloud Computing: Evolution, Vision, Trends and Open Challenges
SS Gill, S Tuli, M Xu, I Singh, KV Singh, D Lindsay, S Tuli, D Smirnova, ...
Internet of Things, 100118, 2019
4262019
Fogbus: A blockchain-based lightweight framework for edge and fog computing
S Tuli, R Mahmud, S Tuli, R Buyya
Journal of Systems and Software 154, 22-36, 2019
3822019
Are Convolutional Neural Networks or Transformers more like human vision?
S Tuli, I Dasgupta, E Grant, TL Griffiths
Annual Meeting of the Cognitive Science Society (CogSci), 2021
2022021
Next Generation Technologies for Smart Healthcare: Challenges, Vision, Model, Trends and Future Directions
S Tuli, S Tuli, G Wander, P Wander, SS Gill, S Dustdar, R Sakellariou, ...
Internet Technology Letters, 2019
109*2019
Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges. Internet of Things, 8, 100118
SS Gill, S Tuli, M Xu, I Singh, KV Singh, D Lindsay, S Tuli, D Smirnova, ...
DOI: https://doi. org/10.1016/j. iot, 2019
252019
& Garraghan, P.(2019)
SS Gill, S Tuli, M Xu, I Singh, KV Singh, D Lindsay
Transformative effects of IoT, Blockchain and Artificial Intelligence on …, 2019
25*2019
Predicting the growth and trend of COVID-19 pandemic using machine learning and cloud computing. Internet of Things, 11, 100222
S Tuli, S Tuli, R Tuli, SS Gill
232020
Modelling for prediction of the spread and severity of COVID-19 and its association with socioeconomic factors and virus types
S Tuli, S Tuli, R Verma, R Tuli
MedRxiv, 2020.06. 18.20134874, 2020
212020
FlexiBERT: Are Current Transformer Architectures too Homogeneous and Rigid?
S Tuli, B Dedhia, S Tuli, NK Jha
Journal of Artificial Intelligence Research 77, 39-70, 2023
122023
AccelTran: A sparsity-aware accelerator for dynamic inference with transformers
S Tuli, NK Jha
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2023
122023
DHOOM: Reusing Design-for-Debug Hardware for Online Monitoring
N Jindal, S Chandran, PR Panda, S Prasad, A Mitra, K Singhal, S Gupta, ...
Design Automation Conference 2019, 99, 2019
112019
CODEBench: A neural architecture and hardware accelerator co-design framework
S Tuli, CH Li, R Sharma, NK Jha
ACM Transactions on Embedded Computing Systems 22 (3), 1-30, 2023
92023
RRAM-VAC: A Variability-Aware Controller for RRAM-based Memory Architectures
S Tuli, MA Rios, ASJ Levisse, D Atienza Alonso
Asia and South Pacific Design Automation Conference ASP-DAC 2020, 2020
92020
Generative Optimization Networks for Memory Efficient Data Generation
S Tuli, S Tuli, G Casale, NR Jennings
Advances in Neural Information Processing Systems (NeurIPS), Workshop on ML …, 2021
82021
Characterization and modeling of hot carrier degradation in N-channel gate-all-around nanowire FETs
C Gupta, A Gupta, S Tuli, E Bury, B Parvais, A Dixit
IEEE Transactions on Electron Devices 67 (1), 4-10, 2019
72019
EdgeTran: Co-designing transformers for efficient inference on mobile edge platforms
S Tuli, NK Jha
arXiv preprint arXiv:2303.13745, 2023
42023
Design of a conventional-transistor-based analog integrated circuit for on-chip learning in a spiking neural network
S Tuli, D Bhowmik
International Conference on Neuromorphic Systems 2020, 1-8, 2020
42020
AVAC: A Machine Learning based Adaptive RRAM Variability-Aware Controller for Edge Devices
S Tuli, S Tuli
IEEE International Symposium on Circuits and Systems, 2020
42020
TransCODE: Co-design of Transformers and Accelerators for Efficient Training and Inference
S Tuli, NK Jha
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2023
32023
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Articles 1–20