M. Hadi Amini

Orcid: 0000-0002-2768-3601

Affiliations:
  • Carnegie Mellon University, Pittsburgh, PA, USA


According to our database1, M. Hadi Amini authored at least 69 papers between 2014 and 2024.

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Bibliography

2024
In-depth Analysis of Privacy Threats in Federated Learning for Medical Data.
CoRR, 2024

CorBin-FL: A Differentially Private Federated Learning Mechanism using Common Randomness.
CoRR, 2024

Security and Privacy Challenges of Large Language Models: A Survey.
CoRR, 2024

2023
Scenic routing navigation using property valuation.
J. Big Data, December, 2023

A Novel Scalable Reconfiguration Model for the Postdisaster Network Connectivity of Resilient Power Distribution Systems.
Sensors, February, 2023

A Survey on Secure and Private Federated Learning Using Blockchain: Theory and Application in Resource-Constrained Computing.
IEEE Internet Things J., 2023

FLID: Intrusion Attack and Defense Mechanism for Federated Learning Empowered Connected Autonomous Vehicles (CAVs) Application.
Proceedings of the IEEE Conference on Dependable and Secure Computing, 2023

Privacy Risks Analysis and Mitigation in Federated Learning for Medical Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Leveraging asynchronous federated learning to predict customers financial distress.
Intell. Syst. Appl., 2022

A Survey on Federated Learning for Resource-Constrained IoT Devices.
IEEE Internet Things J., 2022

3D-model ShapeNet Core Classification using Meta-Semantic Learning.
CoRR, 2022

A Federated Learning Framework for Automated Decision Making with Microscopic Traffic Simulation.
Proceedings of the 31st International Conference on Computer Communications and Networks, 2022

2021
Foundations of Blockchain - Theory and Applications
Springer Briefs in Computer Science, Springer, ISBN: 978-3-030-75024-4, 2021

Data analytics to evaluate the impact of infectious disease on economy: Case study of COVID-19 pandemic.
Patterns, 2021

Topological Data Analysis for Network Resilience Quantification.
Oper. Res. Forum, 2021

Protection of large-scale smart grids against false data injection cyberattacks leading to blackouts.
Int. J. Crit. Infrastructure Prot., 2021

Data Analytics for Smart cities: Challenges and Promises.
CoRR, 2021

HyP-ABC: A Novel Automated Hyper-Parameter Tuning Algorithm Using Evolutionary Optimization.
CoRR, 2021

Embodied AI-Driven Operation of Smart Cities: A Concise Review.
CoRR, 2021

DRDrV3: Complete Lesion Detection in Fundus Images Using Mask R-CNN, Transfer Learning, and LSTM.
CoRR, 2021

A Survey on Optimal Transport for Machine Learning: Theory and Applications.
CoRR, 2021

Search Algorithms for Automated Hyper-Parameter Tuning.
CoRR, 2021

Exploiting Federated Learning Technique to Recognize Human Activities in Resource-Constrained Environment.
Proceedings of the Intelligent Human Computer Interaction, 2021

Evolutionary Algorithms and Efficient Data Analytics for Image Processing.
Proceedings of the 15th International Conference on Ubiquitous Information Management and Communication, 2021

OptABC: an Optimal Hyperparameter Tuning Approach for Machine Learning Algorithms.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Federated Deep Learning for Heterogeneous Edge Computing.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

BIOCAD: Bio-Inspired Optimization for Classification and Anomaly Detection in Digital Healthcare Systems.
Proceedings of the IEEE International Conference on Digital Health, 2021

Reinforcement Learning - Based Control Systems For Networked Power Infrastructures.
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021

On the Impact of the Embedding Process on Network Resilience Quantification.
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021

The application of Evolutionary and Nature Inspired Algorithms in Data Science and Data Analytics.
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021

Distributed Network Optimization for Secure Operation of Interdependent Complex Networks.
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021

DeepCOVIDNet: Deep Convolutional Neural Network for COVID-19 Detection from Chest Radiographic Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Distributed Outage Detection in Power Distribution Networks.
IEEE Trans. Smart Grid, 2020

Sensor Placement for Outage Identifiability in Power Distribution Networks.
IEEE Trans. Smart Grid, 2020

Interdependent Networks: A Data Science Perspective.
Patterns, 2020

DRDr II: Detecting the Severity Level of Diabetic Retinopathy Using Mask RCNN and Transfer Learning.
CoRR, 2020

Data-driven Inferences of Agency-level Risk and Response Communication on COVID-19 through Social Media based Interactions.
CoRR, 2020

On Parameter Tuning in Meta-learning for Computer Vision.
CoRR, 2020

Federated Learning for Resource-Constrained IoT Devices: Panoramas and State-of-the-art.
CoRR, 2020

Sensor Fusion Algorithm Implementation on Microchip PIC Microcontroller.
Proceedings of the 27th International Conference on Mixed Design of Integrated Circuits and System, 2020

FedAR: Activity and Resource-Aware Federated Learning Model for Distributed Mobile Robots.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Malware detection using artificial bee colony algorithm.
Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020

CPD 2020: the 3rd international workshop on combining physical and data-driven knowledge in ubiquitous computing.
Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020

Cascaded Solid State Transformer Structure to Power Fast EV Charging Stations from Medium Voltage Transmission Lines.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019
Key pre-distribution scheme with join leave support for SCADA systems.
Int. J. Crit. Infrastructure Prot., 2019

Leveraging Decentralized Artificial Intelligence to Enhance Resilience of Energy Networks.
CoRR, 2019

An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises.
CoRR, 2019

Applications of Nature-Inspired Algorithms for Dimension Reduction: Enabling Efficient Data Analytics.
CoRR, 2019

Evolutionary Computation, Optimization and Learning Algorithms for Data Science.
CoRR, 2019

Distributed Holistic Framework for Smart City Infrastructures: Tale of Interdependent Electrified Transportation Network and Power Grid.
IEEE Access, 2019

Promises of Meta-Learning for Device-Free Human Sensing: Learn to Sense.
Proceedings of the 1st ACM International Workshop on Device-Free Human Sensing, 2019

Distributed Intelligent Algorithm for Interdependent Electrified Transportation and Power Networks.
Proceedings of the 9th ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications, 2019

Optimal Attack Strategy for Multi-Transmission Line Congestion in Cyber-Physical Smart Grids.
Proceedings of the Tenth International Green and Sustainable Computing Conference, 2019

Optimal Sensor Placement for Topology Identification in Smart Power Grids.
Proceedings of the 53rd Annual Conference on Information Sciences and Systems, 2019

2018
Hierarchical Electric Vehicle Charging Aggregator Strategy Using Dantzig-Wolfe Decomposition.
IEEE Des. Test, 2018

Fully Distributed Cooperative Charging for Plug-in Electric Vehicles in Constrained Power Networks.
CoRR, 2018

Toward a Consensus on the Definition and Taxonomy of Power System Resilience.
IEEE Access, 2018

2017
A Decentralized Trading Algorithm for an Electricity Market with Generation Uncertainty.
CoRR, 2017

A Decentralized Framework for Real-Time Energy Trading in Distribution Networks with Load and Generation Uncertainty.
CoRR, 2017

Optimal Operation of Interdependent Power Systems and Electrified Transportation Networks.
CoRR, 2017

A Novel Cloud-Based Platform for Implementation of Oblivious Power Routing for Clusters of Microgrids.
IEEE Access, 2017

2016
An Oblivious Routing-Based Power Flow Calculation Method for Loss Minimization of Smart Power Networks: A Theoretical Perspective.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Best practices for online marketing in Twitter: An experimental study.
Proceedings of the 2016 IEEE International Conference on Electro Information Technology, 2016

A theoretical bilevel control scheme for power networks with large-scale penetration of distributed renewable resources.
Proceedings of the 2016 IEEE International Conference on Electro Information Technology, 2016

Sparsity-based error detection in DC power flow state estimation.
Proceedings of the 2016 IEEE International Conference on Electro Information Technology, 2016

Effect of electric vehicle parking lots' charging demand as dispatchable loads on power systems loss.
Proceedings of the 2016 IEEE International Conference on Electro Information Technology, 2016

2015
Optimal Two-Tier Forecasting Power Generation Model in Smart Grids.
CoRR, 2015

Distributed security constrained economic dispatch.
Proceedings of the 2015 IEEE Innovative Smart Grid Technologies, 2015

2014
Allocation of electric vehicles' parking lots in distribution network.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, 2014


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