Grants, Awards, and Honors

– Dr. Narman has been selected as the 2024-2025 College of Engineering and Computer Sciences Weisberg Faculty Research Award for Senior recipient.
– Dr. Narman received Mentorship Excellence Award for his contributions to NSF S-STEM PWS program at Marshall University.
– Dr. Narman received 2024 Summer Faculty Research Grant ($2K).
– Dr. Narman received Quinlan Endowment Fund for faculty travel (2024) (~$500)
– Dr. Narman has participated as Co-PI for Automatic Assessment and Repair for Military Railroads project (PI: Dr. Ammar Alzarrad, Co-PIs: Drs. Haroon Malik, Husnu Narman, Pingping Zhu, Sudipta Chowdhury, Greg Michaelson, Andrew Nichols, and Arka Chattopadhya, 2023) (~$2M).
– Dr. Narman has participated in Establishing a Cyber Security Center for Critical Infrastructure project (Responsible for Training Modules, 2023) (Total:$1,5M, Marshall University Share: $750K)
– Our team's proposal (Proposal Developer: Husnu S. Narman, Program Director: Wook-Sung Yoo, Lead Instructor: David Dampier, K-12 Pedagogist: Tina Cartwright, Instructors: Bill Gardner, Josh Brunty, and Paulus Wahjudi) is funded to host 2023 GenCyber , 2023 Teacher Summer Camp (GenCyber: Adventure Zone Teacher Academy) at Marshall University (~$140K).

Please see my CV for details about my honors, grants, and awards.

Undergraduate Students

– Neil Loftus (ERDC, PWS - NSF S-STEM, SURE, Creative, NASA 2021 – 2025), – Andrew D'Arms (ERDC, 2024 – 2025), – Aayush Damai (ERDC, 2024 – 2025), – Van Trung Le (ERDC, 2025), – Advay Chandramouli (NSF RUE URDA, 2025), – Mingyan Lie (NSF RUE URDA, 2025), – Evan Zhau (NSF RUE URDA, 2025), – Cade Parlato (PWS - NSF S-STEM, 2022 – 2025) , – Connor Stonestreet (ERDC, 2024), – Amelia McGinty (PWS - NSF S-STEM, 2022 – 2023) , – Cameron Green (PWS - NSF S-STEM, 2021 – 2022) , – Josh Maddy (GenCyber, SURE, Creative, 2021 – 2022) , – Eric Dillon (GenCyber, Creative, 2021 – 2022) , – Eric Shoemaker (Creative, 2021) , – Jarred Carter (NASA, 2019 – 2021) , – William Coleman (SURE, 2020) , – James Colton Farley (NASA and Creative, 2019 – 2020) , – Thomason Vu (FMIP, 2020) , – Caleb Kesler (Creative, 2019), – Alymbek Damir Uulu (SURE, 2018 – 2019) , – Anh Nguyen (FMIP, 2018 – 2019) , – Geanina Tambaliuc (FMIP and SURE, 2018 – 2020) , – Jared Lee Lewis (Creative, 2018). .

Undergraduate Capstone Groups

– Group Auto Feedback System (2021) (Craig Carpenter II, David Wills, Eric Dillon, John Cook), – Group Complaint Management (2020) (Geanina Tambaliuc, Hwapyeong Song, Wesly Webb), – Group Augmented Reality (2019) (Alex Canfield, Cameron Berry, Jeremy Giese, Logan Carpenter), – Group Suturing (2018) (Alex Kacinari, Chris Murphy, Derek M Staley), – Group Game-StoryBook (2018) (Charlie Murphy, Michael B Branard, Steven D. Gunnels).

High School Students

– Liana Karim (STAR Summer Camp, 2022), – Sawyer Slack (STAR Summer Camp, 2022), – Isabella Schrader (AR, 2020), – Neil Loftus (AR and Paving Academy, 2020).

Publication

Disclaimer: Readers may view, browse, and/or download any material on this website for temporary information only. Provided materials can be used for non-commercial personal purposes only. Except as provided by law, this material may not be further reproduced, distributed, transmitted, modified, adapted, performed, displayed, published, or sold in whole or part, without prior written permission from the publisher and the website owner.

Patents

Husnu Saner Narman: Oral Therapy Tool, System, and Related Methods, (Patent Appl. Serial No. 62/947,264, Regular, United States. (Submitted: November 2019, Application: December 2019, Updated: October 2022, Allowed: January 2023, Granted: August 2023 - 11,712,366))

Books

Husnu Saner Narman and Mohammed Atiquzzaman: Carrier Assignment and Packet Scheduling in LTE-A and Wi-Fi, (Dissertation as a book - LAP LAMBERT Academic Publishing 2016)

Journals

[15] Furkan Kizilay, Mina R. Narman, Hwapyeong Song, Husnu Saner Narman, Cumhur Cosgun, and Ammar Alzarrad: Evaluating Fine Tuned Deep Learning Models for Real-Time Earthquake Damage Assessment with Drone-Based Images , (Springer AI in Civil Engineering 2024)
[14] Neil Loftus and Husnu Saner Narman: Use of Machine Learning in Interactive Cybersecurity and Network Education , (MDPI Sensor 2023 - Invited)
[13] Amrit Pal, Abishi Chowdhury, Satakshi, Husnu Saner Narman, Arkabandhu Chowdhury, and Manish Kumar: Random Partition based Adaptive Distributed Kernelized SVM for Big Data , (IEEE Access 2022)
[12] Arnob Paul, Md. Hasanul Islam, Md. Shohrab Hossain, and Husnu Saner Narman: A novel zone walking protection for secure DNS Server , (WTS 2020 - presentation and IGI - IJITN Journal 2022), Slides
[11] Husnu Saner Narman, Haroon Malik, and Govind Yatnalkar: An Enhanced Ride Sharing Model Based on Human Characteristics, Machine Learning Recommender System, and User Threshold Time , (Springer Journal of Ambient Intelligence and Humanized Computing 2021 - Invited )
[10] Jinwei Liu, Haiying Shen, Hongmei Chi, Husnu Saner Narman, Yongyi Yang, Long Cheng, and Wingyan Chung: A Low-Cost Multi-Failure Resilient Replication Scheme for High Data Availability in Cloud Storage , (IEEE/ACM Transactions on Networking 2020 )
[9] Abishi Chowdhury, Shital A. Raut, and Husnu Saner Narman: DA-DRLS: Drift Adaptive Deep Reinforcement Learning based Scheduling for IoT Resource Management , (Elsevier Journal of Network and Computer Applications 2019 )
[8] Sarker, A., Shen, H., Rahman, M., Chowdhury, M., Dey, K., Li, F., Wang, Y., and Husnu Saner Narman: A Review of Intelligent Controller, Sensing and Communication, and Human Factors Aspects for Information-Aware Connected Autonomous Vehicles , (IEEE Transaction on Intelligent Transportation Systems 2019 )
[7] Kuo-Chi Fang, Husnu Saner Narman, Ibrahim Hussein Mwinyi, and Wook-Sung Yoo: PPHA-Popularity Prediction based High Data Availability for Multimedia Data Center , (WTS 2018 - presentation and IGI - IJITN Journal 2019 ), Slides
[6] Jinwei Liu, Haiying Shen, Husnu Saner Narman, Wingyan Chung, and Zongfang Lin: A Survey of Mobile Crowdsensing Techniques: A Critical Component for The Internet of Things , (ACM Transactions on Cyber-Physical Systems 2018 )
[5] Jinwei Liu, Haiying Shen, Husnu Saner Narman, Zongfang Lin, and Zhuozhao Li: Popularity-aware Multi-failure Resilient and Cost-effective Replication for High Data Durability in Cloud Storage , (IEEE Transactions on Parallel and Distributed Systems 2018 )
[4] Jinwei Liu, Haiying Shen, Lei Yu, Husnu Saner Narman, Jiannan Zhai, Jason O. Hallstrom, and Yangyang He: Characterizing Data Deliverability of Greedy Routing in Wireless Sensor Networks , (IEEE Transactions on Mobile Computing 2018 )
[3] Husnu Saner Narman, Md. Shohrab Hossain, Mohammed Atiquzzaman, and Haiying Shen: Scheduling Internet of Things Applications in Cloud Computing , (Springer Annals of Telecommunications 2017 )
[2] Husnu Saner Narman, Mohammed Atiquzzaman, Mehdi Rahmani-andebili, and Haiying Shen: Joint and Selective Periodic Component Carrier Assignment for LTE-A , (Elsevier Computer Networks 2016 )
[1] Husnu Saner Narman, Md. Shohrab Hossain, and Mohammed Atiquzzaman: Management and Analysis of Multi Class Traffic in Single and Multi-Band Systems , (Springer Wireless Personal Communication 2015 )

Conferences / Conference Presentations

[57] Ammar Alzarrad, Shahid Ali, Sudipta Chowdhury, and Husnu Saner Narman: An AI-Driven Approach for Automated Detection of People, Tools, and Firearms , (ASCE I3CE 2025)
[56] Aayush Damai, Hwapyeong Song, Husnu Saner Narman, Alexander Lambert, and Ammar Alzarrad: Enhancing Railway Safety: A Machine Learning Approach for Automated Detection of Missing Track Bolts , (ASCE I3CE 2025), Slides
[55] Tina Cartwright, Julie Snyder-Yuly, Wook-Sung Yoo, and Husnu Saner Narman: Mindset Matters: Exploring Grit and Attitudes in Engineering and CS Undergrads in an NSF S-STEM funded program , (ASEE North Central Section Conference 2025), Slides
[54] Dylan Lester, James Gao, Samuel Sutphin, PingPing Zhu, and Husnu Saner Narman: A YOLO-Based Semi-Automated Labeling Approach to Improve Fault Detection Efficiency in Railroad Videos , (ASEE North Central Section Conference 2025), Slides
[53] Abdullah Jawad, Noah Quesenberry, Husnu Saner Narman and Paulus Wahjudi: “Enhancing Workforce Cyber Resilience: Bridging the Gap in ICS Protection, (IEEE ISEC 2025), Slides Video
[52] Andrew D'Arms, Hwapyeong Song, Husnu Saner Narman, Nevzat C. Yurtcu, Pingping Zhu and Ammar Alzarrad: Automated Railway Crack Detection Using Machine Learning: Analysis of Deep Learning Approaches , (IEEE IEMCON 2024), Slides (Best Paper Award) (Best Presentation Award)
[51] Connor Stonestreet, Hwapyeong Song, Husnu Saner Narman, Pingping Zhu and Ammar Alzarrad: Automated Detection of Track Gauge Deviations Using Video and Depth Cameras With Machine Learning , (IEEE IEMCON 2024), Slides
[50] Eric Zabala and Husnu Saner Narman: Development and Evaluation of an AI-Enhanced Python Programming Education System , (IEEE UEMCON 2024), Slides Video
[49] Cade Parlato, Neil Loftus, Sam McGrath, Husnu Saner Narman, and Rick Gage: Remote Estimation of Above Ground Forest Biomass Using LiDAR and Drone Imagery , (IEEE UEMCON 2024), Slides Video
[48] Josh Maddy, Neil Loftus, Hannah Vitalos, Haleigh Zerkle and Husnu Saner Narman: Space Exploration Museum with Virtual Reality , (IEEE ISEC 2024), Slides Video
[47] Neil Loftus, Cade Parlato, Amelia McGinty, Furkan Kizilay, and Husnu Saner Narman: A Feasibility Study of Real-Time Image Processing Techniques for Small Flying Object Detection in Drones , (IEEE ICCE 2024), Slides Video
[46] Eric Shoemaker, Haroon Malik, Husnu Saner Narman, and Jamil Chaudri: Explaining the Unseen: Leveraging XAI to Enhance the Trustworthiness of Black-Box Models in Performance Testing , (FNC 2023)
[45] Shawon Kumar Saha, Rafidul Islam Sarker, Md Shohrab Hossain, and Husnu Saner Narman: Android Malware Detection Using Incremental Learning Approach , (IEEE BLACKSEACOM 2023), Slides Video
[44] Josh Maddy, Eric M. Dillon, and Husnu Saner Narman: Adapting Cybersecurity Teacher Training Camp to Virtual Learning , (IEEE ISEC 2023), Video (Best Paper Award)
[43] Josh Maddy and Husnu Saner Narman: Virtual Reality Museum Application for the Arts , (IEEE ISEC 2023), Video
[42] Shahriar Hassan, Md. Asif Muztaba, Shohrab Hossain, and Husnu Saner Narman: A Hybrid Encryption Technique based on DNA Cryptography and Steganography , (IEEE IEMCON 2022), Slides (Best Presentation Award)
[41] Eric M. Dillon, Craig Carpenter II, John Cook, Thomas D. Wills, and Husnu Saner Narman: A Machine Learning-Based Automatic Feedback System to Teach Cybersecurity Principles to K-12 and College Students , (IEEE GHTC 2022), Video
[40] Neil Loftus, Cameron Green, and Husnu Saner Narman: The Cybersecurity Packet Control Simulator: CSPCS , (IEEE GHTC 2022), Video
[39] Md. Mahbubur Rahman, Md. Shohrab Hossain, Mohammad Mahfuzul Islam, and Husnu Saner Narman: An Energy Efficient Gravitational Model for Tree Based Routing in Wireless Sensor Networks , (IEEE IEMCON 2021), Slides Video
[38] Tarannum Zaki, Ismat Jahan, Md. Shohrab Hossain, and Husnu Saner Narman: An IoT-Based Complete Smart Drainage System for a Smart City , (IEEE IEMCON 2021), Slides Video
[37] Kazi Kader, Md. Tareque Tahsin, Md. Shohrab Hossain, and Husnu Saner Narman: Ransomware Detection Using Binary Classification , (IEEE CyberSciTech 2021), Slides Video
[36] Eric Shoemaker, Harrison Randolph, James Bryce, and Husnu Saner Narman: Designing Crowdsourcing Software to Inform Municipalities About Infrastructure Condition , (IEEE HONET-ICT 2021 ),Video
[35] Neamat Al Sarah, Fahmida Yasmin Rifat, Md. Shohrab Hossain, and Husnu Saner Narman: An Efficient Android Malware Prediction Using Ensemble Machine Learning Algorithms , (MobiSPC 2021), Slides Video
[34] Nusrath Tabassum, Farhin Faiza Neha, Md. Shohrab Hossain, and Husnu Saner Narman: A Hybrid Machine Learning based Phishing Website Detection Technique through Dimensionality Reduction , (IEEE BLACKSEACOM 2021), Slides
[33] Tanjim Munir Dipon, Md. Shohrab Hossain, and Husnu Saner Narman: Detecting Network Intrusion through Anomalous Packet Identification , (ITNAC 2020), Slides
[32] Md. Khairul Islam, Prithula Hridi, Md. Shohrab Hossain, and Husnu Saner Narman: Network Anomaly Detection Using LightGBM: A Gradient Boosting Classifier , (ITNAC 2020), Slides
[31] Shohel Khan, Ajoy Das, Md. Shohrab Hossain, and Husnu Saner Narman: Prediction of Dengue Infected Areas Using a Novel Blockchain Based Crowdsourcing Framework , (IEEE UEMCON 2020 ), Slides Video
[30] Md. Turab Hossain, Md. Shohrab Hossain, and Husnu Saner Narman: Detection of Undesired Events on Real-World SCADA Power System Through Process Monitoring , (IEEE UEMCON 2020 )
[29] Jarred Carter, Husnu Saner Narman, Ozlem Cosgun, and Jinwei Liu: Trade-off Model of Fog-Cloud Computing for Space Information Networks , (IEEE Cloud Summit 2020 ), Slides
[28] Husnu Saner Narman, Cameron Berry, Alex Canfield, Logan Carpenter, Jeremy Giese, Neil Loftus, and Isabella Schrader: Augmented Reality for Teaching Data Structures in Computer Science , (IEEE GHTC 2020), Slides Video
[27] Arnob Paul, Md. Hasanul Islam, Md. Shohrab Hossain, and Husnu Saner Narman: A novel zone walking protection for secure DNS Server , (WTS 2020 - presentation and IGI - IJITN Journal), Slides
[26] Renascence Tarafder Prapty, Shuhana Azmin, Md. Shohrab Hossain, and Husnu Saner Narman: Preventing Session Hijacking using Encrypted One-Time-Cookies , (WTS 2020 ), Slides
[25] Govind Yatnalkar, Husnu Saner Narman, and Haroon Malik: An Enhanced Ride Sharing Model Based on Human Characteristics and Machine Learning Recommender System , (EDI40 2020 ), Slides (Best Paper Award)
[24] Sreehari Sreenath, Haroon Malik, Husnu Saner Narman, and Kanimozhi Kalaichelavan: Assessment and Use of Unmanned Aerial Vehicle for Civil Structural Health Monitoring , (EDI40 2020 ), Slides
[23] Kanimozhi Kalaichelavan, Haroon Malik, Husnu Saner Narman, and Sreehari Sreenath: What People Complain about Drone Apps? A Large-Scale Empirical Study of Google Play Store Reviews , (ANT 2020 ), Slides
[22] Husnu Saner Narman and Alymbek Damir Uulu: Impacts of Positive and Negative Comments of Social Media Users to Cryptocurrency , (IEEE ICNC 2020 ), Slides
[21] Jared Lee Lewis, Geanina F. Tambaliuc, Husnu Saner Narman and Wook-Sung Yoo: IP Reputation Analysis of Public Databases and Machine Learning Techniques , (IEEE ICNC 2020 ), Slides
[20] Govind Yatnalkar and Husnu Saner Narman: A Matching Model for Vehicle Sharing Based on User Characteristics and Tolerated-Time , (IEEE HONET-ICT 2019 ), Slides
[19] Mainuddin Ahmad Jonas, Risul Islam, Md. Shohrab Hossain, Husnu Saner Narman, and Mohammed Atiquzzaman: An Intelligent System for Preventing SSL Stripping-based Session Hijacking Attacks , (IEEE MILCOM 2019 ), Slides
[18] Md. Ishtiaq Ashiq, Protick Bhowmick, Md. Shohrab Hossain, and Husnu Saner Narman: Domain Flux based DGA Botnet Detection Using Feedforward Neural Network , (IEEE MILCOM 2019 ), Slides
[17] Anh Nguyen, Greg Weed, and Husnu Saner Narman: Oral Therapeutic Tool for Speech and Feeding Therapies , (IEEE GLOBECOM 2019 ), Slides
[16] Husnu Saner Narman, Alymbek Damir Uulu, and Jinwei Liu: Profile Analysis for Cryptocurrency in Social Media , (IEEE ISSPIT 2018 ), Slides
[15] Govind Yatnalkar and Husnu Saner Narman: Survey on Wireless Charging and Placement of Stations for Electric Vehicles , (IEEE ISSPIT 2018 ), Slides
[14] Kuo-Chi Fang, Husnu Saner Narman, Ibrahim Hussein Mwinyi, and Wook-Sung Yoo: PPHA-Popularity Prediction based High Data Availability for Multimedia Data Center , (WTS 2018 - presentation and IGI - IJITN Journal ), Slides
[13] Ibrahim Hussein Mwinyi, Husnu Saner Narman, Kuo-Chi Fang, and Wook-Sung Yoo: Predictive Self-Learning Content Recommendation System for Multimedia Contents , (WTS 2018 ), Slides
[12] Jinwei Liu, Haiying Shen, and Husnu Saner Narman: CCRP: Customized Cooperative Resource Provisioning for High Resource Utilization in Clouds , (IEEE BigData 2016 ), Slides
[11] Husnu Saner Narman and Mohammed Atiquzzaman: Primary Component Carrier Assignment in LTE-A , (EAI QSHINE 2016 ), Slides
[10] Husnu Saner Narman and Mohammed Atiquzzaman: Selective Periodic Component Carrier Assignment Technique in LTE and LTE-A Systems , (IEEE GLOBECOM 2015 ), Slides
[9] Husnu Saner Narman and Mohammed Atiquzzaman: Analysis of Joint and Partial Component Carrier Assignment Techniques in LTE and LTE-A , (IEEE GLOBECOM 2015 ), Slides
[8] Husnu Saner Narman and Mohammed Atiquzzaman: Energy Aware Scheduling and Queue Management for Next Generation Wi-Fi Routers , (IEEE WCNC 2015 Workshop NGWiFi ), Slides
[7] Husnu Saner Narman and Mohammed Atiquzzaman: Joint and Partial Carrier Components Assignment Techniques Based on User Profile in LTE Systems , (IEEE WCNC 2015 ), Slides
[6] Husnu Saner Narman and Mohammed Atiquzzaman: Carrier Components Assignment Method for LTE and LTE-A Systems Based on User Profile and Application , (IEEE GLOBECOM 2014 Workshop BWA ), Slides
[5] Husnu Saner Narman, Md. Shohrab Hossain, and Mohammed Atiquzzaman: h-DDSS: Heterogeneous Dynamic Dedicated Servers Scheduling in Cloud Computing , (IEEE ICC 2014 ), Slides
[4] Husnu Saner Narman, Md. Shohrab Hossain, and Mohammed Atiquzzaman: DDSS: Dynamic Dedicated Servers Scheduling for Multi Priority Level Classes in Cloud Computing , (IEEE ICC 2014 ), Slides
[3] Husnu Saner Narman, Md. Shohrab Hossain, and Mohammed Atiquzzaman: Multi Class Traffic Analysis of Single and Multi-band Queuing System , (IEEE GLOBECOM 2013 ), Slides
[2] Md. Shohrab Hossain, Husnu Saner Narman, and Mohammed Atiquzzaman: A Novel Scheduling and Queue Management Scheme for Multi-band Mobile Routers , (IEEE ICC 2013 ), Slides
[1] Husnu Saner Narman, Turgay Korkmaz, and Suleyman Tek: Utilizing Distance Distribution in Determining Topological Characteristics of Multi-hop Wireless Networks , (IEEE ICNC 2013 ), Slides

Posters

[13] Alexander Lambert, Austin Woodrum, Husnu Saner Narman, Paulus Wahjudi, and Karen Guttieri: Disinformation and Cyberterrorism: Eroding Societal Resilience in the Digital Age , (Workshop on Cyber Resilience and National Power Projection 2024)
[12] Tina Cartwright, Julie Snyder-Yuly, Husnu Saner Narman and Wook-Sung Yoo: Relationship between Grit and Mindset on Undergraduate Engineering Student Retention , (S-STEM Scholars & PI Meeting, November 2024)
[11] Cade Parlato, Neil Loftus, Sam McGrath, Furkan Kizilay, Husnu Saner Narman, and Rick Gage: Calculating Aboveground Forest Biomass using Machine Learning with Image Segmentation , (Undergraduate Research Day at the Capitol (URDC), February 2024)
[10] Muna Lentison,Cameron Green, and Husnu Saner Narman: Marshall University AI ChatBot App , (Undergraduate Research Day at the Capitol (URDC), February 2024)
[9] Neil Loftus, Cameron Green, and Husnu Saner Narman: Use of Machine Learning in Networks and Cybersecurity Education , (Annual {S-STEM} Scholars Meeting, September 2023)
[8] Josh Maddy and Husnu Saner Narman: Virtual Reality Museum Application for the Arts , (Undergraduate Research Day at the Capitol (URDC), February 2023)
[7] Neil Loftus, Cameron Green, Liana Karim, Sawyer Slack, and Husnu Saner Narman: Use of Machine Learning in Networks and Cybersecurity Education , (Undergraduate Research Day at the Capitol (URDC), February 2023)
[6] William Coleman and Husnu Saner Narman: Learning Object-Oriented Programming Concepts with Augmented Reality , (Undergraduate Research Day at the Capitol (URDC), March 2021)
[5] William Coleman and Husnu Saner Narman: Enhancing Computer Science Education with Augmented Reality (Video), (WVU Summer Undergraduate Research Symposium, July 2020)
[4] Jarred Carter and Husnu Saner Narman: Trade-off Model of Fog-Cloud Computing for Space Information Networks , (Undergraduate Research Day at the Capitol (URDC), Feb 2020)
[3] James Colton Farley and Husnu Saner Narman: Emotion Classification of Users Based on Posts and Comments in Social Media , (Undergraduate Research Day at the Capitol (URDC), Feb 2020)
[2] Alymbek Damir Uulu and Husnu Saner Narman: Education Analysis of Cryptocurrency for Protection from Social Engineering , (Office of Technology Capitol Posters, Feb 2019)
[1] Geanina Tambaliu, Jared Lee Lewis, Husnu Saner Narman, and Wook-Sung Yoo: Automated IP Reputation Analyzer , (Undergraduate Research Day at the Capitol (URDC) and Office of Technology Capitol Posters, Feb 2019)

Presentations

[5] Invited speaker on Data Centers and Popularity based Allocation in CSSET'18 (Huntington WV, 2018)
[4] PhD Defense Presentation (Norman OK, 2016)
[3] Predissertation Presentation (Norman OK, 2015)
[2] Oral General Exam (Norman OK, 2012)
[1] Oral Exam for Master Graduation (San Antonio TX, 2011)

Technical Reports

[9] Ibrahim Hussein Mwinyi, Husnu Saner Narman Kuo-Chi Fang, and Wook-Sung Yoo: Recommendation System based on Predictive Approach , (MU 2017)
[8] Husnu Saner Narman and Mohammed Atiquzzaman: User Profile Carrier Components Assignment Method for LTE Systems , (OU 2014)
[7] Husnu Saner Narman and Mohammed Atiquzzaman: Analysis of Static Partial Carrier Components Assignment in LTE Systems , (OU 2014)
[6] Husnu Saner Narman, Md. Shohrab Hossain, and Mohammed Atiquzzaman: DDSS: Dynamic Dedicated Servers Scheduling for Multi Priority Level Classes in Cloud Servers , (OU 2013)
[5] Md. Shohrab Hossain, Husnu Saner Narman, and Mohammed Atiquzzaman: Scheduling and Queue Management of Multi-band Mobile Routers , (OU 2013)
[4] Husnu Saner Narman, Md. Shohrab Hossain, and Mohammed Atiquzzaman: Multi-Class Traffic Analysis of Single and Multi-band Queuing System , (OU 2012)
[3] Husnu Saner Narman: General Exam Report , (Fall 2012)
[2] Husnu Saner Narman: Topological characteristics of multi-hop wireless networks , (Spring 2011)
[1] Husnu Saner Narman: Audio Embedding with an Error Correction Algorithm , (UTSA 2009)

Dissertation

Husnu Saner Narman: PhD Dissertation-Design and Development of Carrier Assignment and Packet Scheduling in LTE-A and Wi-Fi , (Spring 2016)

Please see my CV for details about my research experiences.

Some Media Appearance

Copyright © Husnu Narman. HTML5 Max Templates and for animated pictures: Portfolios , Gfycat , and Giphy .