Peyman Najafirad

According to our database, Peyman Najafirad authored at least 113 papers between 2015 and 2024.

Collaborative distances:

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

2024

Improving LLM Reasoning with Multi-Agent Tree-of-Thought Validator Agent.

Fatemeh Haji, Mazal Bethany, Maryam Tabar, Jason Cho-Yu Chiang, Anthony Rios, Peyman Najafirad

CoRR, 2024

Jailbreaking Large Language Models with Symbolic Mathematics.

Emet Bethany, Mazal Bethany, Juan Arturo Nolazco Flores, Sumit Kumar Jha, Peyman Najafirad

CoRR, 2024

AutoSafeCoder: A Multi-Agent Framework for Securing LLM Code Generation through Static Analysis and Fuzz Testing.

Ana Nunez, Nafis Tanveer Islam, Sumit Kumar Jha, Peyman Najafirad

CoRR, 2024

Enhancing Source Code Security with LLMs: Demystifying The Challenges and Generating Reliable Repairs.

Nafis Tanveer Islam, Joseph Khoury, Andrew Seong, Elias Bou-Harb, Peyman Najafirad

CoRR, 2024

Enhancing Event Reasoning in Large Language Models through Instruction Fine-Tuning with Semantic Causal Graphs.

Mazal Bethany, Emet Bethany, Brandon Wherry, Jason Cho-Yu Chiang, Nishant Vishwamitra, Anthony Rios, Peyman Najafirad

CoRR, 2024

Unintentional Security Flaws in Code: Automated Defense via Root Cause Analysis.

Nafis Tanveer Islam, Mazal Bethany, Dylan Manuel, Murtuza Jadliwala, Peyman Najafirad

CoRR, 2024

Can Reinforcement Learning Unlock the Hidden Dangers in Aligned Large Language Models?

Mohammad Bahrami Karkevandi, Nishant Vishwamitra, Peyman Najafirad

CoRR, 2024

Estimating Earthquake Magnitude in Sentinel-1 Imagery via Ranking.

Daniele Rege Cambrin, Isaac Corley, Paolo Garza, Peyman Najafirad

CoRR, 2024

Context Matters: An Empirical Study of the Impact of Contextual Information in Temporal Question Answering Systems.

Daniel Schumacher, Fatemeh Haji, Tara Grey, Niharika Bandlamudi, Nupoor Karnik, Gagana Uday Kumar, Jason Cho-Yu Chiang, Paul Rad, Nishant Vishwamitra, Anthony Rios

CoRR, 2024

On the Consistency of Fairness Measurement Methods for Regression Tasks.

Abdalwahab Almajed, Maryam Tabar, Peyman Najafirad

CoRR, 2024

Large Language Model Lateral Spear Phishing: A Comparative Study in Large-Scale Organizational Settings.

Mazal Bethany, Athanasios Galiopoulos, Emet Bethany, Mohammad Bahrami Karkevandi, Nishant Vishwamitra, Peyman Najafirad

CoRR, 2024

Deciphering Textual Authenticity: A Generalized Strategy through the Lens of Large Language Semantics for Detecting Human vs. Machine-Generated Text.

Mazal Bethany, Brandon Wherry, Emet Bethany, Nishant Vishwamitra, Peyman Najafirad

CoRR, 2024

Causative Insights into Open Source Software Security using Large Language Code Embeddings and Semantic Vulnerability Graph.

Nafis Tanveer Islam, Gonzalo De La Torre Parra, Dylan Manuel, Murtuza Jadliwala, Peyman Najafirad

CoRR, 2024

Code Security Vulnerability Repair Using Reinforcement Learning with Large Language Models.

Nafis Tanveer Islam, Mohammad Bahrami Karkevandi, Peyman Najafirad

CoRR, 2024

Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial imagery.

Caleb Robinson, Isaac Corley, Anthony Ortiz, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad

CoRR, 2024

LLM-Powered Code Vulnerability Repair with Reinforcement Learning and Semantic Reward.

Nafis Tanveer Islam, Joseph Khoury, Andrew Seong, Gonzalo De La Torre Parra, Elias Bou-Harb, Peyman Najafirad

CoRR, 2024

ZRG: A Dataset for Multimodal 3D Residential Rooftop Understanding.

Isaac Corley, Jonathan Lwowski, Peyman Najafirad

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Deciphering Textual Authenticity: A Generalized Strategy through the Lens of Large Language Semantics for Detecting Human vs. Machine-Generated Text.

Mazal Bethany, Brandon Wherry, Emet Bethany, Nishant Vishwamitra, Anthony Rios, Peyman Najafirad

Proceedings of the 33rd USENIX Security Symposium, 2024

Jbeil: Temporal Graph-Based Inductive Learning to Infer Lateral Movement in Evolving Enterprise Networks.

Joseph Khoury, Dorde Klisura, Hadi Zanddizari, Gonzalo De La Torre Parra, Peyman Najafirad, Elias Bou-Harb

Proceedings of the IEEE Symposium on Security and Privacy, 2024

Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters.

Isaac Corley, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Image Safeguarding: Reasoning with Conditional Vision Language Model and Obfuscating Unsafe Content Counterfactually.

Mazal Bethany, Brandon Wherry, Nishant Vishwamitra, Peyman Najafirad

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

2023

Forecasting call center arrivals using temporal memory networks and gradient boosting algorithm.

Henry Chacon, Vishwa Koppisetti, David Hardage, Kim-Kwang Raymond Choo, Paul Rad

Expert Syst. Appl., August, 2023

CBCT-guided adaptive radiotherapy using self-supervised sequential domain adaptation with uncertainty estimation.

Nima Ebadi, Ruiqi Li, Arun Das, Arkajyoti Roy, Papanikolaou Nikos, Peyman Najafirad

Medical Image Anal., May, 2023

Can Hierarchical Transformers Learn Facial Geometry?

Paul Young, Nima Ebadi, Arun Das, Mazal Bethany, Kevin Desai, Peyman Najafirad

Sensors, January, 2023

ZRG: A High Resolution 3D Residential Rooftop Geometry Dataset for Machine Learning.

Isaac A. Corley, Jonathan Lwowski, Peyman Najafirad

CoRR, 2023

Single-View Height Estimation with Conditional Diffusion Probabilistic Models.

Isaac Corley, Peyman Najafirad

CoRR, 2023

Towards Targeted Obfuscation of Adversarial Unsafe Images using Reconstruction and Counterfactual Super Region Attribution Explainability.

Mazal Bethany, Andrew Seong, Samuel Henrique Silva, Nicole Beebe, Nishant Vishwamitra, Peyman Najafirad

Proceedings of the 32nd USENIX Security Symposium, 2023

An Unbiased Transformer Source Code Learning with Semantic Vulnerability Graph.

Nafis Tanveer Islam, Gonzalo De La Torre Parra, Dylan Manuel, Elias Bou-Harb, Peyman Najafirad

Proceedings of the 8th IEEE European Symposium on Security and Privacy, 2023

2022

A Memory Network Information Retrieval Model for Identification of News Misinformation.

Nima Ebadi, Mohsen M. Jozani, Kim-Kwang Raymond Choo, Paul Rad

IEEE Trans. Big Data, 2022

Correction: Violence detection approach based on cloud data and Neutrosophic cognitive maps.

Mohammad Saif Wajid, Hugo Terashima-Marín, Peyman Najafirad, Mohd Anas Wajid

J. Cloud Comput., 2022

Violence Detection Approach based on Cloud Data and Neutrosophic Cognitive Maps.

Mohammad Saif Wajid, Hugo Terashima-Marín, Peyman Najafirad, Mohd Anas Wajid

J. Cloud Comput., 2022

Detection of Violent Behavior Using Neural Networks and Pose Estimation.

Kevin B. Kwan-Loo, José Carlos Ortiz-Bayliss, Santiago E. Conant-Pablos, Hugo Terashima-Marín, Peyman Najafirad

IEEE Access, 2022

Natural Disaster Analytics using High Resolution Satellite Images.

Nihar Bendre, Neda Zand, Sujan Bhattarai, Isaac Corley, Mo M. Jamshidi, Peyman Najafirad

Proceedings of the World Automation Congress, 2022

Distributed AI-Driven Search Engine on Visual Internet-of-Things for Event Discovery in the Cloud.

Arun Das, Mehdi Roopaei, Mo M. Jamshidi, Peyman Najafirad

Proceedings of the 17th Annual System of Systems Engineering Conference, 2022

Interpretable Federated Transformer Log Learning for Cloud Threat Forensics.

Gonzalo De La Torre Parra, Luis Selvera, Joseph Khoury, Hector Irizarry, Elias Bou-Harb, Paul Rad

Proceedings of the 29th Annual Network and Distributed System Security Symposium, 2022

Adaptive Clustering of Robust Semantic Representations for Adversarial Image Purification on Social Networks.

Samuel Henrique Silva, Arun Das, Adel Alaeddini, Peyman Najafirad

Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

Supervising Remote Sensing Change Detection Models With 3d Surface Semantics.

Isaac Corley, Peyman Najafirad

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Measuring Geographic Performance Disparities of Offensive Language Classifiers.

Brandon Lwowski, Paul Rad, Anthony Rios

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Mitigating Data Shift of Biomedical Research Articles for Information Retrieval and Semantic Indexing.

Nima Ebadi, Anthony Rios, Peyman Najafirad

Proceedings of the Third Workshop on Scholarly Document Processing, 2022

2021

An Investigation of Misinformation Harms Related to Social Media during Two Humanitarian Crises.

Thi Tran, Rohit Valecha, Paul Rad, H. Raghav Rao

Inf. Syst. Frontiers, 2021

Artificial Intelligence in Tactical Human Resource Management: A Systematic Literature Review.

Alexis Megan Votto, Rohit Valecha, Peyman Najafirad, H. Raghav Rao

Int. J. Inf. Manag. Data Insights, 2021

Interpretable Self-supervised Multi-task Learning for COVID-19 Information Retrieval and Extraction.

Nima Ebadi, Peyman Najafirad

CoRR, 2021

Adaptive Clustering of Robust Semantic Representations for Adversarial Image Purification.

Samuel Henrique Silva, Arun Das, Ian Scarff, Peyman Najafirad

CoRR, 2021

AI-Augmented Behavior Analysis for Children with Developmental Disabilities: Building Towards Precision Treatment.

Shadi Ghafghazi, Amarie Carnett, Leslie Neely, Arun Das, Paul Rad

CoRR, 2021

Multi-Armed Bandit Regularized Expected Improvement for Efficient Global Optimization of Expensive Computer Experiments With Low Noise.

Rajitha Meka, Adel Alaeddini, Chinonso Ovuegbe, Pranav A. Bhounsule, Peyman Najafirad, Kai Yang

IEEE Access, 2021

Show Why the Answer is Correct! Towards Explainable AI using Compositional Temporal Attention.

Nihar Bendre, Kevin Desai, Peyman Najafirad

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Generalized Zero-Shot Learning Using Multimodal Variational Auto-Encoder With Semantic Concepts.

Nihar Bendre, Kevin Desai, Peyman Najafirad

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Interpretable Self-Supervised Facial Micro-Expression Learning to Predict Cognitive State and Neurological Disorders.

Arun Das, Jeffrey Mock, Yufei Huang, Edward J. Golob, Peyman Najafirad

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Misinformation Harms: A Tale of Two Humanitarian Crises.

Thi Tran, Rohit Valecha, Paul Rad, H. Raghav Rao

IEEE Trans. Prof. Commun., 2020

Toward Artificial Emotional Intelligence for Cooperative Social Human-Machine Interaction.

Berat A. Erol, Abhijit Majumdar, Patrick Benavidez, Paul Rad, Kim-Kwang Raymond Choo, Mo M. Jamshidi

IEEE Trans. Comput. Soc. Syst., 2020

Geospatial Event Detection by Grouping Emotion Contagion in Social Media.

Brandon Lwowski, Paul Rad, Kim-Kwang Raymond Choo

IEEE Trans. Big Data, 2020

Detecting Internet of Things attacks using distributed deep learning.

Gonzalo De La Torre Parra, Paul Rad, Kim-Kwang Raymond Choo, Nicole Beebe

J. Netw. Comput. Appl., 2020

Driverless vehicle security: Challenges and future research opportunities.

Gonzalo De La Torre Parra, Paul Rad, Kim-Kwang Raymond Choo

Future Gener. Comput. Syst., 2020

Effect of backdoor attacks over the complexity of the latent space distribution.

Henry D. Chacon, Paul Rad

CoRR, 2020

A Self-supervised Approach for Semantic Indexing in the Context of COVID-19 Pandemic.

Nima Ebadi, Peyman Najafirad

CoRR, 2020

Stuttering Speech Disfluency Prediction using Explainable Attribution Vectors of Facial Muscle Movements.

Arun Das, Jeffrey Mock, Henry Chacon, Farzan Irani, Edward J. Golob, Peyman Najafirad

CoRR, 2020

Learning from Few Samples: A Survey.

Nihar Bendre, Hugo Terashima-Marín, Peyman Najafirad

CoRR, 2020

Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey.

Samuel Henrique Silva, Peyman Najafirad

CoRR, 2020

Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey.

Arun Das, Paul Rad

CoRR, 2020

Human Action Performance using Deep Neuro-Fuzzy Recurrent Attention Model.

Nihar Bendre, Nima Ebadi, Paul Rad

CoRR, 2020

Temporal Graph Traversals Using Reinforcement Learning With Proximal Policy Optimization.

Samuel Henrique Silva, Adel Alaeddini, Peyman Najafirad

IEEE Access, 2020

Improving Financial Time Series Prediction Accuracy Using Ensemble Empirical Mode Decomposition and Recurrent Neural Networks.

Henry Chacon, Emre Kesici, Peyman Najafirad

IEEE Access, 2020

Human Action Performance Using Deep Neuro-Fuzzy Recurrent Attention Model.

Nihar Bendre, Nima Ebadi, John J. Prevost, Peyman Najafirad

IEEE Access, 2020

Deep Learning Based Prediction of Signal-to-Noise Ratio (SNR) for LTE and 5G Systems.

Thinh Ngo, Brian Todd Kelley, Paul Rad

Proceedings of the 8th International Conference on Wireless Networks and Mobile Communications, 2020

Automatic Detection and Prediction of Cybersickness Severity using Deep Neural Networks from user's Physiological Signals.

Rifatul Islam, Yonggun Lee, Mehrad Jaloli, Imtiaz Muhammad, Dakai Zhu, Paul Rad, Yufei Huang, John Quarles

Proceedings of the 2020 IEEE International Symposium on Mixed and Augmented Reality, 2020

Studying Adversarial Attacks on Behavioral Cloning Dynamics.

Garrett Hall, Arun Das, John Quarles, Paul Rad

Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

COVID-19 Surveillance through Twitter using Self-Supervised and Few Shot Learning.

Brandon Lwowski, Peyman Najafirad

Proceedings of the 1st Workshop on NLP for COVID-19@ EMNLP 2020, Online, December 2020, 2020

Hate and Toxic Speech Detection in the Context of Covid-19 Pandemic using XAI: Ongoing Applied Research.

David Hardage, Peyman Najafirad

Proceedings of the 1st Workshop on NLP for COVID-19@ EMNLP 2020, Online, December 2020, 2020

2019

Are you emotional or depressed? Learning about your emotional state from your music using machine learning.

Sharaj Panwar, Paul Rad, Kim-Kwang Raymond Choo, Mehdi Roopaei

J. Supercomput., 2019

Cooperative unmanned aerial vehicles with privacy preserving deep vision for real-time object identification and tracking.

Samuel Henrique Silva, Paul Rad, Nicole Beebe, Kim-Kwang Raymond Choo, Mahesh Umapathy

J. Parallel Distributed Comput., 2019

Implementation of deep packet inspection in smart grids and industrial Internet of Things: Challenges and opportunities.

Gonzalo De La Torre Parra, Paul Rad, Kim-Kwang Raymond Choo

J. Netw. Comput. Appl., 2019

Distributed machine learning cloud teleophthalmology IoT for predicting AMD disease progression.

Arun Das, Paul Rad, Kim-Kwang Raymond Choo, Babak Nouhi, Jonathan Lish, James Martel

Future Gener. Comput. Syst., 2019

Modeling EEG data distribution with a Wasserstein Generative Adversarial Network to predict RSVP Events.

Sharaj Panwar, Paul Rad, Tzyy-Ping Jung, Yufei Huang

CoRR, 2019

Implicit Life Event Discovery From Call Transcripts Using Temporal Input Transformation Network.

Nima Ebadi, Brandon Lwowski, Mehrad Jaloli, Paul Rad

IEEE Access, 2019

Optimized IoT Based Decision Making For Autonomous Vehicles In Intersections.

Amin Sahba, Ramin Sahba, Paul Rad, Mo M. Jamshidi

Proceedings of the 10th IEEE Annual Ubiquitous Computing, 2019

3D Object Detection Based on LiDAR Data.

Ramin Sahba, Amin Sahba, Mo M. Jamshidi, Paul Rad

Proceedings of the 10th IEEE Annual Ubiquitous Computing, 2019

Generating EEG signals of an RSVP Experiment by a Class Conditioned Wasserstein Generative Adversarial Network.

Sharaj Panwar, Paul Rad, John Quarles, Yufei Huang

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

A Semi-Supervised Wasserstein Generative Adversarial Network for Classifying Driving Fatigue from EEG signals.

Sharaj Panwar, Paul Rad, John Quarles, Edward J. Golob, Yufei Huang

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

An Investigation of Misinformation Harms Related to Social Media During Humanitarian Crises.

Thi Tran, Rohit Valecha, Paul Rad, H. Raghav Rao

Proceedings of the Secure Knowledge Management In Artificial Intelligence Era, 2019

Deep Learning Optimization for Edge Devices: Analysis of Training Quantization Parameters.

Alicja Kwasniewska, Maciej Szankin, Mateusz Ozga, Jason Wolfe, Arun Das, Adam Zajac, Jacek Ruminski, Paul Rad

Proceedings of the IECON 2019, 2019

Deep Learning Poison Data Attack Detection.

Henry Chacon, Samuel Silva, Paul Rad

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Misinformation Harms During Crises: When The Human And Machine Loops Interact.

Thi Tran, Paul Rad, Rohit Valecha, H. Raghav Rao

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

A Privacy-Aware Architecture at the Edge for Autonomous Real-Time Identity Reidentification in Crowds.

Seyed Ali Miraftabzadeh, Paul Rad, Kim-Kwang Raymond Choo, Mo M. Jamshidi

IEEE Internet Things J., 2018

Automatic Text Summarization Using Customizable Fuzzy Features and Attention on the Context and Vocabulary.

Ramin Sahba, Nima Ebadi, Mo M. Jamshidi, Paul Rad

Proceedings of the 2018 World Automation Congress, 2018

Image Graph Production by Dense Captioning.

Amin Sahba, Arun Das, Paul Rad, Mo M. Jamshidi

Proceedings of the 2018 World Automation Congress, 2018

A Wearable IoT with Complex Artificial Perception Embedding for Alzheimer Patients.

Mehdi Roopaei, Paul Rad, John J. Prevost

Proceedings of the 2018 World Automation Congress, 2018

Distributed Edge Cloud R-CNN for Real Time Object Detection.

Joshua Herrera, Mevlut A. Demir, Parsa Yousefi, John J. Prevost, Paul Rad

Proceedings of the 2018 World Automation Congress, 2018

Blockchain Design for Trusted Decentralized IoT Networks.

Juah C. Song, Mevlut A. Demir, John J. Prevost, Paul Rad

Proceedings of the 13th Annual Conference on System of Systems Engineering, 2018

Customer Review Analytics using Subjective Loss Function for Conceptual-based Learning.

Seyed Ali Miraftabzadeh, Paul Rad, Mo M. Jamshidi, Jeff Prevost

Proceedings of the 13th Annual Conference on System of Systems Engineering, 2018

Designing and evaluating hybrid storage for high performance cloud computing.

Swanand Mhalagi, Lide Duan, Paul Rad

Proceedings of the 2018 Annual IEEE International Systems Conference, 2018

AI Thinking for Cloud Education Platform with Personalized Learning.

Paul Rad, Mehdi Roopaei, Nicole Beebe, Mehdi Shadaram, Yoris Au

Proceedings of the 51st Hawaii International Conference on System Sciences, 2018

2017

Distributed Algorithm with Inherent Intelligence for Multi-cloud Resource Provisioning.

Seyed Ali Miraftabzadeh, Paul Rad, Mo M. Jamshidi

Proceedings of the Intelligent Decision Support Systems for Sustainable Computing, 2017

Deep learning control for complex and large scale cloud systems.

Mehdi Roopaei, Paul Rad, Mo M. Jamshidi

Intell. Autom. Soft Comput., 2017

Cloud of Things in Smart Agriculture: Intelligent Irrigation Monitoring by Thermal Imaging.

Mehdi Roopaei, Paul Rad, Kim-Kwang Raymond Choo

IEEE Cloud Comput., 2017

A deep vision landmark framework for robot navigation.

Abhijith R. Puthussery, Karthik P. Haradi, Berat A. Erol, Patrick Benavidez, Paul Rad, Mo M. Jamshidi

Proceedings of the 12th System of Systems Engineering Conference, 2017

A deep learning approach for mapping music genres.

Sharaj Panwar, Arun Das, Mehdi Roopaei, Paul Rad

Proceedings of the 12th System of Systems Engineering Conference, 2017

Pedestrian detection system for smart communities using deep Convolutional Neural Networks.

Jonathan Lwowski, Prasanna Kolar, Patrick Benavidez, Paul Rad, John J. Prevost, Mo M. Jamshidi

Proceedings of the 12th System of Systems Engineering Conference, 2017

Autonomous decision making for a driver-less car.

Nicolas Gallardo, Nicholas Gamez, Paul Rad, Mo M. Jamshidi

Proceedings of the 12th System of Systems Engineering Conference, 2017

Voice biometrics: Deep learning-based voiceprint authentication system.

Andrew Boles, Paul Rad

Proceedings of the 12th System of Systems Engineering Conference, 2017

Deep features class activation map for thermal face detection and tracking.

Alicja Kwasniewska, Jacek Ruminski, Paul Rad

Proceedings of the 10th International Conference on Human System Interactions, 2017

Secure Cloud Container: Runtime Behavior Monitoring Using Most Privileged Container (MPC).

Vivek Vijay Sarkale, Paul Rad, Wonjun Lee

Proceedings of the 4th IEEE International Conference on Cyber Security and Cloud Computing, 2017

2016

Efficient distributed algorithm for scheduling workload-aware jobs on multi-clouds.

Seyed Ali Miraftabzadeh, Paul Rad, Mo M. Jamshidi

Proceedings of the 11th System of Systems Engineering Conference, 2016

Survey of automated software deployment for computational and engineering research.

James O. Benson, John J. Prevost, Paul Rad

Proceedings of the Annual IEEE Systems Conference, 2016

Image Enhancement via Cloud Cascade Control Based Sub-Image-Clipped Histogram Equalization.

Paul Rad, Sos S. Agaian, Mehdi Roopaei, Saeed Sedighi

Proceedings of the 2016 IEEE International Conference on Smart Cloud, 2016

Securing Cloud Containers Using Quantum Networking Channels.

Brian Todd Kelley, John J. Prevost, Paul Rad, Aqsa Fatima

Proceedings of the 2016 IEEE International Conference on Smart Cloud, 2016

A Novel Technique to Enhance Low Resolution CT and Magnetic Resonance Images in Cloud.

Sos S. Agaian, Paul Rad, Rahul Rajendran, Karen Panetta

Proceedings of the 2016 IEEE International Conference on Smart Cloud, 2016

A Next-Generation Secure Cloud-Based Deep Learning License Plate Recognition for Smart Cities.

Rohith Polishetty, Mehdi Roopaei, Paul Rad

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

2015

Low-latency software defined network for high performance clouds.

Paul Rad, Rajendra V. Boppana, Palden Lama, Gilad Berman, Mo M. Jamshidi

Proceedings of the 10th System of Systems Engineering Conference, SoSE 2015, 2015

Image segmentation by multi-level thresholding based on fuzzy entropy and genetic algorithm in cloud.

Mohan Muppidi, Paul Rad, Sos S. Agaian, Mo M. Jamshidi

Proceedings of the 10th System of Systems Engineering Conference, SoSE 2015, 2015

A novel image encryption method to reduce decryption execution time in cloud.

Paul Rad, Mohan Muppidi, Aldo S. Jaimes, Sos S. Agaian, Mo M. Jamshidi

Proceedings of the Annual IEEE Systems Conference, 2015

Cloud-based realtime robotic Visual SLAM.

Patrick Benavidez, Mohan Muppidi, Paul Rad, John J. Prevost, Mo M. Jamshidi, Lutcher Brown

Proceedings of the Annual IEEE Systems Conference, 2015

Image segmentation by multi-level thresholding using genetic algorithm with fuzzy entropy cost functions.

Mohan Muppidi, Paul Rad, Sos S. Agaian, Mo M. Jamshidi

Proceedings of the 2015 International Conference on Image Processing Theory, 2015

Secure Proxy Service Using p-Fibonacci Transformation of Cosine Coefficients on Cloud File Sharing Environment.

Paul Rad, Mohan Muppidi, Aldo S. Jaimes, Sos S. Agaian, Mo M. Jamshidi

Proceedings of the 17th IEEE International Conference on High Performance Computing and Communications, 2015