# positions[].organizations[].parent[].label
Texas A&M Engineering Experiment Station (TEES)

# positions[].label
Associate Professor, Computer Science and Information Systems

# positions[].organizations[].label
Texas A&M University - Commerce - (Commerce, Texas, United States)

# overview
I am an Associate Professor in the Department of Computer Science and Information Systems at the Texas A&M University-Commerce since Fall 2012. My research interests spans systems and networks in computer science, including distributed systems, network monitoring, measurements and management, big-data computing and analytics, and high-performance computing.

# keywords[]
4606 Distributed Computing And Systems Software

# keywords[]
4606 Distributed Computing And Systems Software

# keywords[]
Stem Cell Research - Nonembryonic - Human

# keywords[]
Stem Cell Research - Nonembryonic - Non-human

# keywords[]
4009 Electronics, Sensors And Digital Hardware

# keywords[]
4.1 Discovery And Preclinical Testing Of Markers And Technologies

# keywords[]
4606 Distributed Computing And Systems Software

# educationAndTraining[].organization.label
University of Minnesota - (Minneapolis, Minnesota, United States)

# educationAndTraining[].organization.label
Inha University - (Incheon, South Korea)

# educationAndTraining[].organization.label
Inha University - (Incheon, South Korea)

# publications[].label
NGS: Service Adaptation in Open Grid Platforms

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
An Empirical Study on Network Anomaly Detection using Convolutional Neural Networks

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
QoS-enabled Cache Architecture for a Private Cloud

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Transfer Learning Approach for Botnet Detection Based on Recurrent Variational Autoencoder

# publications[].publisher
Association for Computing Machinery (ACM)

# publications[].label
Energy Proportionality and Performance in Data Parallel Computing Clusters

# publications[].label
An Empirical Evaluation of Deep Learning for Network Anomaly Detection

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
A New Approach to Multivariate Network Traffic Analysis

# publications[].label
Scalable Security Event Aggregation for Situation Analysis

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Practical Network Attack Situation Analysis using Sliding Window Cache Scheme

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Federated Wireless Network Intrusion Detection

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Lightweight and Identifier-Oblivious Engine for Cryptocurrency Networking Anomaly Detection

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Exploiting Heterogeneity for Collective Data Downloading in Volunteer-based Networks

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Performance Analyses for Applying Machine Learning on Bitcoin Miners

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Exploiting Replication for Energy-Aware Scheduling in Disk Storage Systems

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Clustering-based label estimation for network anomaly detection

# publications[].label
An Approach to Online Network Monitoring Using Clustered Patterns

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
DDDAS/ITR: A Data Mining and Exploration Middleware for Grid and Distributed Computing

# publications[].label
Automatic Detection of Network Traffic Anomalies and Changes

# publications[].publisher
Association for Computing Machinery (ACM)

# publications[].label
FREP: Energy proportionality for disk storage using replication

# publications[].label
Reconciling Multiple Matches for the Signature-Based Application Identification

# publications[].label
Impact of Location Spoofing Attacks on Performance Prediction in Mobile Networks

# publications[].label
Reliable Detection of Location Spoofing and Variation Attacks

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
A New Approach to Online, Multivariate Network Traffic Analysis

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Leveraging History to Predict Infrequent Abnormal Transfers in Distributed Workflows.

# publications[].label
Website Fingerprinting Attack Mitigation using Traffic Morphing

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Design and Implementation of Policy Decision Point in Policy-Based Network

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Securing UAV Flying Base Station for Mobile Networking: A Review

# publications[].label
Unsupervised Labeling for Supervised Anomaly Detection in Enterprise and Cloud Networks

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Enhancing IoT Anomaly Detection Performance for Federated Learning

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Learning-based dynamic cache management in a cloud

# publications[].label
Botnet Detection Using Recurrent Variational Autoencoder

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Towards Securing Availability in 5G: Analyzing the Injection Attack Impact on Core Network

# publications[].label
A Machine Learning Approach to Anomaly Detection Based on Traffic Monitoring for Secure Blockchain Networking

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Using Data Accessibility for Resource Selection in Large-Scale Distributed Systems

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Incorporating Multiple Cluster Models for Network Traffic Classification

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
A Case Study on Converged Security with Event Correlation of Physical and Information Security

# publications[].label
Spatio-temporal Analysis of HPC I/O and Connection Data

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
A survey of deep learning-based network anomaly detection

# publications[].label
Energy-Aware Scheduling in Disk Storage Systems

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
A Security-enabled Grid System for MINDS Distributed Data Mining

# publications[].label
Automated Feature Selection for Anomaly Detection in Network Traffic Data

# publications[].publisher
Association for Computing Machinery (ACM)

# publications[].label
Parallel In Situ Indexing for Data-intensive Computing

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
A Hybrid Classifier with a Binning Method for Network Application Identification

# publications[].label
Improving signature quality for network application identification

# publications[].label
Case Study: STEM Contribution in Indian IT Clusters

# publications[].label
An Encoding Technique for CNN-based Network Anomaly Detection

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
A Lightweight Network Anomaly Detection Technique

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
A Learning-based Data Augmentation for Network Anomaly Detection

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
iPACS: Power-aware covering sets for energy proportionality and performance in data parallel computing clusters

# publications[].label
Distributed and Lightweight Software Assurance in Cellular Broadcasting Handshake and Connection Establishment

# publications[].label
Evaluation of Deep Learning Models for Network Performance Prediction for Scientific Facilities

# publications[].publisher
Association for Computing Machinery (ACM)

# publications[].label
Passive Network Performance Estimation for Large-Scale, Data-Intensive Computing

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Automated, Reliable Zero-day Malware Detection based on Autoencoding Architecture

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Energy proportionality for disk storage using replication

# publications[].publisher
Association for Computing Machinery (ACM)

# publications[].label
Generating Labeled Flow Data from MAWILab Traces for Network Intrusion Detection

# publications[].publisher
Association for Computing Machinery (ACM)

# publications[].label
An Empirical Evaluation of Deep Learning for Network Anomaly Detection

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Security for the Scientific Data Services Framework

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Evaluating Unbalanced Network Data for Attack Detection

# publications[].publisher
Association for Computing Machinery (ACM)

# publications[].label
Accessibility-based Resource Selection in Loosely-coupled Distributed Systems * *This work was supported in part by National Science Foundation grant ITR-0325949.

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Multivariate network traffic analysis using clustered patterns

# organizations[]
Texas A&M University - Commerce - (Commerce, Texas, United States)

# schools[]
Texas A&M Engineering Experiment Station (TEES)