Multi class traffic analysis of single and multi-band queuing system. - Husnu S. Narman; Md. Shohrab Hossain; Mohammed Atiquzzaman (GLOBECOM, 2013)

A novel scheduling and queue management scheme for multi-band mobile routers. - Md. Shohrab Hossain; Husnu S. Narman; Mohammed Atiquzzaman (ICC, 2013)

Utilizing distance distribution in determining topological characteristics of multi-hop wireless networks. - Husnu S. Narman; Turgay Korkmaz; Suleyman Tek (ICNC, 2013)

Carrier components assignment method for LTE and LTE-A systems based on user profile and application. - Husnu S. Narman; Mohammed Atiquzzaman (GLOBECOM Workshops, 2014)

DDSS: Dynamic dedicated servers scheduling for multi priority level classes in cloud computing. - Husnu S. Narman; Md. Shohrab Hossain; Mohammed Atiquzzaman (ICC, 2014)

h-DDSS: Heterogeneous Dynamic Dedicated servers scheduling in cloud computing. - Husnu S. Narman; Md. Shohrab Hossain; Mohammed Atiquzzaman (ICC, 2014)

Selective Periodic Component Carrier Assignment Technique in LTE and LTE-A Systems. - Husnu S. Narman; Mohammed Atiquzzaman (GLOBECOM, 2015)

Analysis of Joint and Partial Component Carrier Assignment Techniques in LTE and LTE-A. - Husnu S. Narman; Mohammed Atiquzzaman (GLOBECOM, 2015)

Joint and partial carrier components assignment techniques based on user profile in LTE systems. - Husnu S. Narman; Mohammed Atiquzzaman (WCNC, 2015)

Energy aware scheduling and queue management for next generation Wi-Fi routers. - Husnu S. Narman; Mohammed Atiquzzaman (WCNC Workshops, 2015)

Management and Analysis of Multi Class Traffic in Single and Multi-band Systems. - Husnu S. Narman; Md. Shohrab Hossain; Mohammed Atiquzzaman (Wirel. Pers. Commun., 2015)

CCRP: Customized cooperative resource provisioning for high resource utilization in clouds. - Jinwei Liu; Haiying Shen; Husnu S. Narman (IEEE BigData, 2016)

Primary Component Carrier Assignment in LTE-A. - Husnu S. Narman; Mohammed Atiquzzaman (QSHINE, 2016)

Joint and selective periodic component carrier assignment for LTE-A. - Husnu S. Narman; Mohammed Atiquzzaman; Mehdi Rahmani-Andebili; Haiying Shen (Comput. Networks, 2016)

Scheduling internet of things applications in cloud computing. - Husnu S. Narman; Md. Shohrab Hossain; Mohammed Atiquzzaman; Haiying Shen (Ann. des Télécommunications, 2017)

Profile Analysis for Cryptocurrency in Social Media. - Husnu S. Narman; Alymbek Damir Uulu; Jinwei Liu (ISSPIT, 2018)

Survey on Wireless Charging and Placement of Stations for Electric Vehicles. - Govind Yatnalkar; Husnu S. Narman (ISSPIT, 2018)

Predictive self-learning content recommendation system for multimedia contents. - Ibrahim Hussein Mwinyi; Husnu S. Narman; Kuo-Chi Fang; Wook-Sung Yoo (WTS, 2018)

A Survey of Mobile Crowdsensing Techniques: A Critical Component for The Internet of Things. - Jinwei Liu; Haiying Shen; Husnu S. Narman; Wingyan Chung; Zongfang Lin (ACM Trans. Cyber Phys. Syst., 2018)

Characterizing Data Deliverability of Greedy Routing in Wireless Sensor Networks. - Jinwei Liu; Haiying Shen; Lei Yu 002; Husnu S. Narman; Jiannan Zhai; Jason O. Hallstrom; Yangyang He (IEEE Trans. Mob. Comput., 2018)

Oral Therapeutic Tool for Speech and Feeding Therapies. - Anh T. Nguyen; Greg Weed; Husnu S. Narman (GLOBECOM, 2019)

Domain Flux-based DGA Botnet Detection Using Feedforward Neural Network. - Md. Ishtiaq Ashiq; Protick Bhowmick; Md. Shohrab Hossain; Husnu S. Narman (MILCOM, 2019)

An Intelligent System for Preventing SSL Stripping-based Session Hijacking Attacks. - Mainduddin Ahmad Jonas; Md. Shohrab Hossain; Risul Islam; Husnu S. Narman; Mohammed Atiquzzaman (MILCOM, 2019)

PPHA-Popularity Prediction Based High Data Availability for Multimedia Data Center. - Kuo-Chi Fang; Husnu S. Narman; Ibrahim Hussein Mwinyi; Wook-Sung Yoo (Int. J. Interdiscip. Telecommun. Netw., 2019)

DA-DRLS: Drift adaptive deep reinforcement learning based scheduling for IoT resource management. - Abishi Chowdhury; Shital A. Raut; Husnu S. Narman (J. Netw. Comput. Appl., 2019)

Popularity-Aware Multi-Failure Resilient and Cost-Effective Replication for High Data Durability in Cloud Storage. - Jinwei Liu; Haiying Shen; Husnu S. Narman (IEEE Trans. Parallel Distributed Syst., 2019)

What Do People Complain About Drone Apps? A Large-Scale Empirical Study of Google Play Store Reviews. - Kanimozhi Kalaichelavan; Haroon Malik; Husnu S. Narman; Sreehari Sreenath (ANT/EDI40, 2020)

Assessment and Use of Unmanned Aerial Vehicle for Civil Structural Health Monitoring. - Sreehari Sreenath; Haroon Malik; Husnu S. Narman; Kanimozhi Kalaichelavan (ANT/EDI40, 2020)

An Enhanced Ride Sharing Model Based on Human Characteristics and Machine Learning Recommender System. - Govind Yatnalkar; Husnu S. Narman; Haroon Malik (ANT/EDI40, 2020)

Augmented Reality for Teaching Data Structures in Computer Science. - Husnu S. Narman; Cameron Berry; Alex Canfield; Logan Carpenter; Jeremy Giese; Neil Loftus; Isabella Schrader (GHTC, 2020)

IP Reputation Analysis of Public Databases and Machine Learning Techniques. - Jared Lee Lewis; Geanina F. Tambaliuc; Husnu S. Narman; Wook-Sung Yoo (ICNC, 2020)

Impacts of Positive and Negative Comments of Social Media Users to Cryptocurrency. - Husnu S. Narman; Alymbek Damir Uulu (ICNC, 2020)

Detecting Network Intrusion through Anomalous Packet Identification. - Tanjim Munir Dipon; Md. Shohrab Hossain; Husnu S. Narman (ITNAC, 2020)

Network Anomaly Detection Using LightGBM: A Gradient Boosting Classifier. - Md. Khairul Islam; Prithula Hridi; Md. Shohrab Hossain; Husnu S. Narman (ITNAC, 2020)

Detection of Undesired Events on Real-World SCADA Power System through Process Monitoring. - Md. Turab Hossain; Md. Shohrab Hossain; Husnu S. Narman (UEMCON, 2020)

Prediction of Dengue Infected Areas using A Novel Blockchain based Crowdsourcing Framework. - Md Shohel Khan; Ajoy Das; Md. Shohrab Hossain; Husnu S. Narman (UEMCON, 2020)

Preventing Session Hijacking using Encrypted One-Time-Cookies. - Renascence Tarafder Prapty; Shuhana Azmin; Md. Shohrab Hossain; Husnu S. Narman (WTS, 2020)

A Review of Sensing and Communication, Human Factors, and Controller Aspects for Information-Aware Connected and Automated Vehicles. - Ankur Sarker; Haiying Shen; Mizanur Rahman; Mashrur Chowdhury; Kakan C. Dey; Fangjian Li; Yue Wang 011; Husnu S. Narman (IEEE Trans. Intell. Transp. Syst., 2020)

A Hybrid Machine Learning based Phishing Website Detection Technique through Dimensionality Reduction. - Nusrath Tabassum; Farhin Faiza Neha; Md. Shohrab Hossain; Husnu S. Narman (BlackSeaCom, 2021)

Ransomware Detection Using Binary Classification. - Kazi Samiul Kader; Md Tareque Hasan Tahsin; Md. Shohrab Hossain; Husnu S. Narman (DASC/PiCom/CBDCom/CyberSciTech, 2021)

An Efficient Android Malware Prediction Using Ensemble machine learning algorithms. - Neamat Al Sarah; Fahmida Yasmin Rifat; Md. Shohrab Hossain; Husnu S. Narman (FNC/MobiSPC, 2021)

An enhanced ride sharing model based on human characteristics, machine learning recommender system, and user threshold time. - Husnu S. Narman; Haroon Malik; Govind Yatnalkar (J. Ambient Intell. Humaniz. Comput., 2021)

A Low-Cost Multi-Failure Resilient Replication Scheme for High-Data Availability in Cloud Storage. - Jinwei Liu; Haiying Shen; Hongmei Chi; Husnu S. Narman; Yongyi Yang; Long Cheng 003; Wingyan Chung (IEEE/ACM Trans. Netw., 2021)

A Machine Learning-Based Automatic Feedback System to Teach Cybersecurity Principles to K-12 and College Students. - Eric M. Dillon; Craig Carpenter; John Cook; Thomas D. Wills; Husnu S. Narman (GHTC, 2022)

The Cybersecurity Packet Control Simulator: CSPCS. - Neil Loftus; Cameron Green; Husnu S. Narman (GHTC, 2022)

Random Partition Based Adaptive Distributed Kernelized SVM for Big Data. - Amrit Pal; Abishi Chowdhury; Satakshi; Husnu S. Narman; Arkabandhu Chowdhury; Manish Kumar 001 (IEEE Access, 2022)

A Novel Zone-Walking Protection for Secure DNS Server. - Arnob Paul; Md. Hasanul Islam; Md. Shohrab Hossain; Husnu S. Narman (Int. J. Interdiscip. Telecommun. Netw., 2022)

Android Malware Detection Using Incremental Learning Approach. - Shawon Kumar Saha; Md. Rafidul Islam Sarker; Md. Shohrab Hossain; Husnu S. Narman (BlackSeaCom, 2023)

Use of Machine Learning in Interactive Cybersecurity and Network Education. - Neil Loftus; Husnu S. Narman (Sensors, 2023)

A Feasibility Study of Real-Time Image Processing Techniques for Small Flying Object Detection in Drones. - Neil Loftus; Cade Parlato; Amelia McGinty; Furkan Kizilay; Husnu S. Narman (ICCE, 2024)

Remote Estimation of Above Ground Forest Biomass Using LiDAR and Drone Imagery. - Cade Parlato; Neil Loftus; Sam McGrath; Husnu S. Narman; Rick Gage (UEMCON, 2024)

Development and Evaluation of an AI-Enhanced Python Programming Education System. - Eric Zabala; Husnu S. Narman (UEMCON, 2024)