Hamed Tabkhi

Orcid: 0000-0001-5420-1121

According to our database1, Hamed Tabkhi authored at least 95 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A Survey of Graph-Based Deep Learning for Anomaly Detection in Distributed Systems.
IEEE Trans. Knowl. Data Eng., January, 2024

Enhancing Automatic Modulation Recognition for IoT Applications Using Transformers.
CoRR, 2024

Understanding the Transit Gap: A Comparative Study of On-Demand Bus Services and Urban Climate Resilience in South End, Charlotte, NC and Avondale, Chattanooga, TN.
CoRR, 2024

Expert with Clustering: Hierarchical Online Preference Learning Framework.
CoRR, 2024

OCT-SelfNet: A Self-Supervised Framework with Multi-Modal Datasets for Generalized and Robust Retinal Disease Detection.
CoRR, 2024

An Exploratory Study on Human-Centric Video Anomaly Detection through Variational Autoencoders and Trajectory Prediction.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024

Real-Time Bus Arrival Prediction: A Deep Learning Approach for Enhanced Urban Mobility.
Proceedings of the 13th International Conference on Operations Research and Enterprise Systems, 2024

2023
Real-time online unsupervised domain adaptation for real-world person re-identification.
J. Real Time Image Process., December, 2023

Ancilia: Scalable Intelligent Video Surveillance for the Artificial Intelligence of Things.
IEEE Internet Things J., September, 2023

Exploring Public's Perception of Safety and Video Surveillance Technology: A Survey Approach.
CoRR, 2023

Enhancing Situational Awareness in Surveillance: Leveraging Data Visualization Techniques for Machine Learning-based Video Analytics Outcomes.
CoRR, 2023

Integrating AI into CCTV Systems: A Comprehensive Evaluation of Smart Video Surveillance in Community Space.
CoRR, 2023

VegaEdge: Edge AI Confluence Anomaly Detection for Real-Time Highway IoT-Applications.
CoRR, 2023

VT-Former: A Transformer-based Vehicle Trajectory Prediction Approach For Intelligent Highway Transportation Systems.
CoRR, 2023

Towards Understanding the Benefits and Challenges of Demand Responsive Public Transit- A Case Study in the City of Charlotte, NC.
CoRR, 2023

A Novel Neural Network Approach for Predicting the Arrival Time of Buses for Smart On-Demand Public Transit.
CoRR, 2023

Real-World Community-in-the-Loop Smart Video Surveillance - A Case Study at a Community College.
CoRR, 2023

A POV-based Highway Vehicle Trajectory Dataset and Prediction Architecture.
CoRR, 2023

Understanding Policy and Technical Aspects of AI-Enabled Smart Video Surveillance to Address Public Safety.
CoRR, 2023

Real-World Community-in-the-Loop Smart Video Surveillance System.
Proceedings of the 2023 IEEE International Conference on Smart Computing, 2023

CHAD: Charlotte Anomaly Dataset.
Proceedings of the Image Analysis - 22nd Scandinavian Conference, 2023

Understanding the Challenges and Opportunities of Pose-based Anomaly Detection.
Proceedings of the 8th international Workshop on Sensor-Based Activity Recognition and Artificial Intelligence, 2023

Demonstration of Pishgu: Universal Path Prediction Network Architecture for Real-time Cyber-physical Edge Systems.
Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems, 2023

Pishgu: Universal Path Prediction Network Architecture for Real-time Cyber-physical Edge Systems.
Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems, 2023

2022
ATCN: Resource-efficient Processing of Time Series on Edge.
ACM Trans. Embed. Comput. Syst., September, 2022

DeepTrack: Lightweight Deep Learning for Vehicle Trajectory Prediction in Highways.
IEEE Trans. Intell. Transp. Syst., 2022

Understanding Ethics, Privacy, and Regulations in Smart Video Surveillance for Public Safety.
CoRR, 2022

Pishgu: Universal Path Prediction Architecture through Graph Isomorphism and Attentive Convolution.
CoRR, 2022

A Comprehensive Survey of Graph-based Deep Learning Approaches for Anomaly Detection in Complex Distributed Systems.
CoRR, 2022

A Novel Fully Annotated Thermal Infrared Face Dataset: Recorded in Various Environment Conditions and Distances From The Camera.
CoRR, 2022

Machine Learning-Based Automated Thermal Comfort Prediction: Integration of Low-Cost Thermal and Visual Cameras for Higher Accuracy.
CoRR, 2022

VEI: a multicloud edge gateway for computer vision in IoT.
Proceedings of the 1st Workshop on Middleware for the Edge, 2022

Real-World Computer Vision for Real-World Applications: Challenges and Directions.
Proceedings of the Intelligent Systems and Applications, 2022

ADG-Pose: Automated Dataset Generation for Real-World Human Pose Estimation.
Proceedings of the Pattern Recognition and Artificial Intelligence, 2022

The Influence Of Covid Related Ventilation Rate Changes On The Energy Consumption And Infection Probability Of The Buildings: Underfloor And Overhead Air Distribution Systems.
Proceedings of the Annual Modeling and Simulation Conference, 2022

2021
EfficientHRNet.
J. Real Time Image Process., 2021

DeepTrack: Lightweight Deep Learning for Vehicle Path Prediction in Highways.
CoRR, 2021

Single Run Action Detector over Video Stream - A Privacy Preserving Approach.
CoRR, 2021

Toward AI-enabled augmented reality to enhance the safety of highway work zones: Feasibility, requirements, and challenges.
Adv. Eng. Informatics, 2021

Mez: An Adaptive Messaging System for Latency-Sensitive Multi-Camera Machine Vision at the IoT Edge.
IEEE Access, 2021

Design Study on Impact of Memory Access Parallelism for Cloud FPGAs.
Proceedings of the 34th IEEE International System-on-Chip Conference, 2021

Tufan: Low-Power Throughput Architecture for Acceleration of EfficientNet on Cloud FPGAs.
Proceedings of the 34th IEEE International System-on-Chip Conference, 2021

Real-World Graph Convolution Networks (RW-GCNs) for Action Recognition in Smart Video Surveillance.
Proceedings of the 6th IEEE/ACM Symposium on Edge Computing, 2021

DeepDive: An Integrative Algorithm/Architecture Co-Design for Deep Separable Convolutional Neural Networks.
Proceedings of the GLSVLSI '21: Great Lakes Symposium on VLSI 2021, 2021

MG-DmDSE: Multi-Granularity Domain Design Space Exploration Considering Function Similarity.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

CARPe Posterum: A Convolutional Approach for Real-Time Pedestrian Path Prediction.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Allocating One Common ACC-Rich Platform for Many Streaming Applications.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

LLVM-based automation of memory decoupling for OpenCL applications on FPGAs.
Microprocess. Microsystems, 2020

AWARE-CNN: Automated Workflow for Application-Aware Real-Time Edge Acceleration of CNNs.
IEEE Internet Things J., 2020

REVAMP2T: Real-Time Edge Video Analytics for Multicamera Privacy-Aware Pedestrian Tracking.
IEEE Internet Things J., 2020

ATCN: Agile Temporal Convolutional Networks for Processing of Time Series on Edge.
CoRR, 2020

Mez: A Messaging System for Latency-Sensitive Multi-Camera Machine Vision at the IoT Edge.
CoRR, 2020

EfficientHRNet: Efficient Scaling for Lightweight High-Resolution Multi-Person Pose Estimation.
CoRR, 2020

Exploring the Scalability of OpenCL Coarse Grained Parallelism on Cloud FPGAs.
Proceedings of the 33rd IEEE International System-on-Chip Conference, 2020

gem5-SALAM: A System Architecture for LLVM-based Accelerator Modeling.
Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020

2019
Alleviating Scalability Limitation of Accelerator-Based Platforms.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019

Real-Time Deep Learning at the Edge for Scalable Reliability Modeling of Si-MOSFET Power Electronics Converters.
IEEE Internet Things J., 2019

REVAMP<sup>2</sup>T: Real-time Edge Video Analytics for Multi-camera Privacy-aware Pedestrian Tracking.
CoRR, 2019

Scalable LLVM-Based Accelerator Modeling in gem5.
IEEE Comput. Archit. Lett., 2019

Key-Track: A Lightweight Scalable LSTM-based Pedestrian Tracker for Surveillance Systems.
Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019

Real-Time Person Re-identification at the Edge: A Mixed Precision Approach.
Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019

Mitigating Application Diversity for Allocating a Unified ACC-Rich Platform.
Proceedings of the 37th IEEE International Conference on Computer Design, 2019

Exploring the Efficiency of OpenCL Pipe for Hiding Memory Latency on Cloud FPGAs.
Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

2018
Taxonomy of Spatial Parallelism on FPGAs for Massively Parallel Applications.
Proceedings of the 31st IEEE International System-on-Chip Conference, 2018

A Novel 1D-Convolution Accelerator for Low-Power Real-time CNN processing on the Edge.
Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018

A Reconfigurable Streaming Processor for Real-Time Low-Power Execution of Convolutional Neural Networks at the Edge.
Proceedings of the Edge Computing - EDGE 2018, 2018

DS-DSE: Domain-specific design space exploration for streaming applications.
Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

Locality aware memory assignment and tiling.
Proceedings of the 55th Annual Design Automation Conference, 2018

2017
Toward end-to-end object detection and tracking on the edge.
Proceedings of the Second ACM/IEEE Symposium on Edge Computing, San Jose / Silicon Valley, 2017

2016
Function-Level Processor (FLP): A Novel Processor Class for Efficient Processing of Streaming Applications.
J. Signal Process. Syst., 2016

Studying Inter-Warp Divergence Aware Execution on GPUs.
IEEE Comput. Archit. Lett., 2016

Hardware thread reordering to boost OpenCL throughput on FPGAs.
Proceedings of the 34th IEEE International Conference on Computer Design, 2016

Guiding Power/Quality Exploration for Communication-Intense Stream Processing.
Proceedings of the 26th edition on Great Lakes Symposium on VLSI, 2016

Improving scalability of CMPs with dense ACCs coverage.
Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition, 2016

2015
A Joint SW/HW Approach for Reducing Register File Vulnerability.
ACM Trans. Archit. Code Optim., 2015

Exploring the Efficiency of the OpenCL Pipe Semantic on an FPGA.
SIGARCH Comput. Archit. News, 2015

Conceptual Abstraction Levels (CALs) for managing design complexity of market-oriented MPSoCs.
Microprocess. Microsystems, 2015

Power-efficient real-time solution for adaptive vision algorithms.
IET Comput. Digit. Tech., 2015

Taming the Memory Demand Complexity of Adaptive Vision Algorithms.
Proceedings of the System Level Design from HW/SW to Memory for Embedded Systems, 2015

Bridging Architecture and Programming for Throughput-Oriented Vision Processing (Abstract Only).
Proceedings of the 2015 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2015

Revisiting accelerator-rich CMPs: challenges and solutions.
Proceedings of the 52nd Annual Design Automation Conference, 2015

An efficient architecture solution for low-power real-time background subtraction.
Proceedings of the 26th IEEE International Conference on Application-specific Systems, 2015

2014
Application-Guided Power Gating Reducing Register File Static Power.
IEEE Trans. Very Large Scale Integr. Syst., 2014

Function-Level Processor (FLP): A High Performance, Minimal Bandwidth, Low Power Architecture for Market-Oriented MPSoCs.
IEEE Embed. Syst. Lett., 2014

A GPU-Based Algorithm-Specific Optimization for High-Performance Background Subtraction.
Proceedings of the 43rd International Conference on Parallel Processing, 2014

A Power-Efficient FPGA-Based Mixture-of-Gaussian (MoG) Background Subtraction for Full-HD Resolution.
Proceedings of the 22nd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2014

Function-Level Processor (FLP): Raising efficiency by operating at function granularity for market-oriented MPSoC.
Proceedings of the IEEE 25th International Conference on Application-Specific Systems, 2014

2013
Algorithm and architecture co-design of Mixture of Gaussian (MoG) background subtraction for embedded vision.
Proceedings of the 2013 Asilomar Conference on Signals, 2013

Flexible function-level acceleration of embedded vision applications using the Pipelined Vision Processor.
Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012
ARRA: Application-guided reliability-enhanced registerfile architecture for embedded processors.
Proceedings of the 20th IEEE/IFIP International Conference on VLSI and System-on-Chip, 2012

AFReP: Application-guided Function-level Registerfile power-gating for embedded processors.
Proceedings of the 2012 IEEE/ACM International Conference on Computer-Aided Design, 2012

Application-specific power-efficient approach for reducing register file vulnerability.
Proceedings of the 2012 Design, Automation & Test in Europe Conference & Exhibition, 2012

2011
A reliable and power efficient flow-control method to eliminate crosstalk faults in network-on-chips.
Microprocess. Microsystems, 2011

2010
An Efficient Method to Reliable Data Transmission in Network-on-Chips.
Proceedings of the 13th Euromicro Conference on Digital System Design, 2010

2008
An Asymmetric Checkpointing and Rollback Error Recovery Scheme for Embedded Processors.
Proceedings of the 23rd IEEE International Symposium on Defect and Fault-Tolerance in VLSI Systems (DFT 2008), 2008


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