2021
Pruning Digital Contact Networks for Meso-scale Epidemics Surveillance Using Foursquare Data Inproceedings
In: ACM/IEEE Intl. Conf. on Advances in Social Network Analysis and Mining (ASONAM), 2021.
Anytime Depth Estimation with Limited Sensing and Computation Capabilities on Mobile Devices Inproceedings
In: The Conference on Robot Learning, 2021.
FLASH: Fast Neural Architecture Search with Hardware Optimization Journal Article
In: ACM Transactions on Embedded Computing Systems, vol. 20, no. 63, pp. 1-26, 2021.
DAS: Dynamic Adaptive Scheduling for Energy-Efficient Heterogeneous SoCs Journal Article
In: IEEE Embedded Systems Letters, 2021.
How does topology influence gradient propagation and model performance of deep networks with DenseNet-type skip connections? Inproceedings
In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 13498-13507, 2021.
2020
Runtime Task Scheduling Using Imitation Learning for Heterogeneous Many-Core Systems Journal Article
In: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 39, no. 11, pp. 4064-4077, 2020.
On network science and mutual information for explaining deep neural networks Inproceedings
In: ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 8399–8403, IEEE 2020.
DS3: A system-level domain-specific system-on-chip simulation framework Journal Article
In: IEEE Transactions on Computers, 2020.
FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learning Journal Article
In: The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) , 2020.
Centralized and decentralized isolation strategies and their impact on the COVID-19 pandemic dynamics Journal Article
In: arXiv preprint arXiv:2004.04222, 2020.
HiLITE: Hierarchical and Lightweight Imitation Learning for Power Management of Embedded SoCs Journal Article
In: IEEE Computer Architecture Letters, vol. 19, no. 1, pp. 63–67, 2020.
A Hardware Prototype Targeting Distributed Deep Learning for On-Device Inference Inproceedings
In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, pp. 398–399, 2020.
Runtime Task Scheduling using Imitation Learning for Heterogeneous Many-Core Systems Journal Article
In: arXiv preprint arXiv:2007.09361, 2020.
Model Personalization for Human Activity Recognition Inproceedings
In: 2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), pp. 1–7, IEEE 2020.
Edge AI: Systems Design and ML for IoT Data Analytics Inproceedings
In: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp. 3565–3566, 2020.
New Directions in Distributed Deep Learning: Bringing the Network at Forefront of IoT Design Journal Article
In: arXiv preprint arXiv:2008.10805, 2020.
From Physical Processes to Theoretical Foundations of Cyber-Physical Systems Design and Optimization Journal Article
In: Principles of Cyber-Physical Systems: An Interdisciplinary Approach, pp. 3, 2020.
2019
MetaNN: accurate classification of host phenotypes from metagenomic data using neural networks Journal Article
In: Bmc Bioinformatics, vol. 20, no. 12, pp. 314, 2019.
NIF: A Framework for Quantifying Neural Information Flow in Deep Networks Inproceedings
In: Workshop on Network Interpretability for Deep Learning@ AAAI Conf. on Artificial Intelligence (AAAI), Honolulu, 2019.
Bot Detection in Reddit Political Discussion Inproceedings
In: Proceedings of the Fourth International Workshop on Social Sensing, pp. 30–35, 2019.
Dream distillation: A data-independent model compression framework Journal Article
In: arXiv preprint arXiv:1905.07072, 2019.
Memory-and communication-aware model compression for distributed deep learning inference on iot Journal Article
In: ACM Transactions on Embedded Computing Systems (TECS), vol. 18, no. 5s, pp. 1–22, 2019.
Work-in-Progress: A Simulation Framework for Domain-Specific System-on-Chips Inproceedings
In: 2019 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ ISSS), pp. 1–2, IEEE 2019.
Machine Learning-Based Processor Adaptability Targeting Energy, Performance, and Reliability Inproceedings
In: 2019 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), pp. 158–163, IEEE 2019.
EdgeAI: A Vision for Deep Learning in IoT Era Journal Article
In: IEEE Design & Test, 2019.
2018
Machine learning and manycore systems design: A serendipitous symbiosis Journal Article
In: Computer, vol. 51, no. 7, pp. 66–77, 2018.
Dimensionality reduction via community detection in small sample datasets Inproceedings
In: Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp. 102–114, Springer, Cham 2018.
Weighted betweenness preferential attachment: A new mechanism explaining social network formation and evolution Journal Article
In: Scientific reports, vol. 8, no. 1, pp. 1–14, 2018.
PGLasso: Microbial Community Detection through Phylogenetic Graphical Lasso Journal Article
In: arXiv preprint arXiv:1807.08039, 2018.
Computational Approaches for Incorporating Short-and Long-Term Dynamics in Smart Water Networks Incollection
In: Smart Water Grids, pp. 297–323, CRC Press, 2018.
Modeling computational, sensing, and actuation surfaces Journal Article
In: Low-Power Processors and Systems on Chips, pp. 16–1, 2018.
Learning-based application-agnostic 3D NoC design for heterogeneous manycore systems Journal Article
In: IEEE Transactions on Computers, vol. 68, no. 6, pp. 852–866, 2018.
Hybrid on-chip communication architectures for heterogeneous manycore systems Inproceedings
In: 2018 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), pp. 1–6, IEEE 2018.
A Dynamic Network and Representation LearningApproach for Quantifying Economic Growth fromSatellite Imagery Journal Article
In: arXiv preprint arXiv:1812.00141, 2018.
Climate Anomalies vs Air Pollution: Carbon Emissions and Anomaly Networks Journal Article
In: arXiv preprint arXiv:1812.02634, 2018.
2017
Towards cell-based therapeutics: A bio-inspired autonomous drug delivery system Journal Article
In: Nano communication networks, vol. 12, pp. 25–33, 2017.
Modeling, Analysis and Design of Bio-hybrid Micro-robotic Swarms for Medical Applications Incollection
In: Modeling, Methodologies and Tools for Molecular and Nano-scale Communications, pp. 517–539, Springer, Cham, 2017.
Enhancing precipitation models by capturing multivariate and multiscale climate dynamics Inproceedings
In: Proceedings of the 3rd International Workshop on Cyber-Physical Systems for Smart Water Networks, pp. 39–42, 2017.
K-hop learning: a network-based feature extraction for improved river flow prediction Inproceedings
In: Proceedings of the 3rd International Workshop on Cyber-Physical Systems for Smart Water Networks, pp. 15–18, 2017.
From ideas to social signals: Spatiotemporal analysis of social media dynamics Inproceedings
In: Proceedings of the 2nd International Workshop on Social Sensing, pp. 29–34, 2017.
Imitation learning for dynamic VFI control in large-scale manycore systems Journal Article
In: IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 25, no. 9, pp. 2458–2471, 2017.
Non-Stationary Bayesian Learning for Global Sustainability Journal Article
In: IEEE Transactions on Sustainable Computing, vol. 2, no. 3, pp. 304–316, 2017.
Multi-fractal characterization of bacterial swimming dynamics: a case study on real and simulated serratia marcescens Journal Article
In: Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol. 473, no. 2203, pp. 20170154, 2017.
Inferring microbial interactions from metagenomic time-series using prior biological knowledge Inproceedings
In: Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, pp. 168–177, 2017.
Molecular communication with DNA cellular storage system Inproceedings
In: Proceedings of the 4th ACM International Conference on Nanoscale Computing and Communication, pp. 1–6, 2017.
Discovering Hidden Knowledge in Carbon Emissions Data: A Multilayer Network Approach Inproceedings
In: International Conference on Discovery Science, pp. 223–238, Springer, Cham 2017.
3D NoC-enabled heterogeneous manycore architectures for accelerating CNN training: performance and thermal trade-offs Inproceedings
In: 2017 Eleventh IEEE/ACM International Symposium on Networks-on-Chip (NOCS), pp. 1–8, IEEE 2017.
On-chip communication network for efficient training of deep convolutional networks on heterogeneous manycore systems Journal Article
In: IEEE Transactions on Computers, vol. 67, no. 5, pp. 672–686, 2017.
MPLasso: Inferring microbial association networks using prior microbial knowledge Journal Article
In: PLoS computational biology, vol. 13, no. 12, pp. e1005915, 2017.
2016
Autonomous and adaptive control of populations of bacteria through environment regulation Inproceedings
In: International Conference on Computational Methods in Systems Biology, pp. 168–185, Springer, Cham 2016.
