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Husnu Narman

Considering God, Hoping Forgiveness, Working Hard, Building Future...

Associate Professor
Marshall University
Office: WAEC 3107
(304) 696-5829
narman@marshall.edu

Bio
CV

Brief Bio

I am one of the billions of persons waiting to pass the door of eternal life into the afterworld. While waiting, I married a wonderful woman, Fatma, have a son, Esat, and a daughter, Elif. I am also pursuing my academic career as a faculty member at Marshall University , where I am an Associate Professor in the Department of Computer Sciences and Electrical Engineering of the College of Engineering and Computer Sciences (IEEE Senior Member'22).

During my postdoctoral studies, I worked with Dr. Haiying (Helen) Shen , my supervisor at the College of Engineering and Science, Clemson University. I completed my Ph.D. in Computer Science at The University of Oklahoma, and my Ph.D. advisor is Dr. Mohammed Atiquzzaman . I have a master's degree in Computer Science from The University of Texas at San Antonio and worked with Dr. Turgay Korkmaz during my master. I completed my Bachelor of Science in Mathematics at Abant Izzet Baysal University in Turkey. (Please see my CV for details about my education and experiences).

News
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Positions

– I am looking for both undergraduate and graduate students for summer research projects and fellowship based research programs. Please contact me if you are interested in.
– If you are interested in doing a master thesis option, please contact me, and we can discuss your research interests.
– I need volunteer students to teach coding and other activities to ages nine and up at the CS summer STEM camp .
– I will be pleased to work with visiting scholars. Please contact me at narman@marshall.edu for terms and conditions.

Student Success

– Congratulations to Josh Maddy and Eric Dillion! They received Best Paper Award in IEEE ISEC'23.
– Congratulations to to Josh Maddy! He received the second place from CSSET'23 poster session.
– Congratulations to Neil Loftus! His paper is accepted by MDPI Sensor
– Congratulations to Josh Maddy and Eric Dillion! Their papers are accepted by IEEE ISEC
– Congratulations to Josh Maddy and Neil Loftus! Their posters are accepted by Undergraduate Research Day at the Capitol (URDC'23)
– Congratulations to Josh Maddy! He received 2023 Spring NASA Undergraduate Affiliate Fellowship ($1000.00).
– Congratulations to Neil Loftus! He received 2023 Spring NASA Undergraduate Affiliate Fellowship ($1000.00).
– Congratulations to Cameron Green and Neil Loftus! They were runner-up for 2022 IEEE COMPSAC Annual Student OER Contest.
– Congratulations to Neil Loftus! He received 2022 – 2023 NASA Undergraduate Research Fellowship ($5000.00).
– Congratulations to to Neil Loftus and Cameron Green! They received the second place from CSSET'22 poster session.
– Congratulations to Josh Maddy and Neil Loftus! They both received 2022 Summer Creative Discovery and Research Award.
– Congratulations to Josh Maddy and Neil Loftus! They both received 2022 Summer Undergraduate Research Experience Fellowship ($4000.00).
– Congratulations to Eric Dillion! He received 2022 Spring Creative Discovery and Research Award.

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Grants, Awards, and Honers

– 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 (~$140,000).
– Dr. Narman has been selected as the 2021-2022 College of Engineering and Computer Sciences Weisberg Service Award recipient.
– Dr. Narman received 2022 Summer Faculty Research Grant ($2,000).
– Dr. Narman has participated as Co-PI for Marshall University Presentation Center: Developing a Campus-Wide Resource to Enhance Communication Fluency Across the Curriculum (PI: Dr. Clinton Brown, Co-PIs: Drs. Timothy Melvin, Husnu Narman, Kyle Palmquist, Julie Snyder Yuly, Stephen Underhill, and Olen York, 2022) (~$5,000).
– Dr. Narman's IEEE Senior membership is approved.
– Dr. Narman is named as Co-Lead for Training Programs at Institute for Cyber Security (ICS), Marshall University.
– Dr. Narman is nominated for Pickens Queen Teaching Award (2021-2022).

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

Research

Projects

I am interested in Distributed computing, including cloud and edge computing, Internet of things, Cyber-physical systems, Machine learning applications, Social networks, and Content delivery networks. I am also interested in Advanced Learning Technologies to improve STEM education. If you have ideas related to these areas and would like to work with me, please feel free to contact me (narman@marshall.edu).

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Research and Development (R & D) Groups


Graduate Students

– Hwapyeong Song (FMIP and Paving Academy, 2020) , – Govind Yatnalkar (Thesis, 2018 – 2019) , – Kuo Chi Fang (Non-Thesis and FMIP, 2017 – 2018) , – Ibrahim Hussein Mwinyi (Non-Thesis and FMIP, 2017 – 2018) .

Undergraduate Students

– Neil Loftus (PWS - NSF S-STEM, SURE, Creative, NASA 2021 – 2023), – Cade Parlato (PWS - NSF S-STEM, 2022 – 2023), – Amelia McGinty (PWS - NSF S-STEM, 2022 – 2023), – Cameron Green (PWS - NSF S-STEM, 2021 – 2022), – Josh Maddy (GenCyber, SURE, Creative, 2021 – 2022), – Eric Dillion (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 Complain 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

[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

[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), Video
[44] Josh Maddy, Eric M. Dillon, and Husnu Saner Narman: Adapting Cybersecurity Teacher Training Camp to Virtual Learning , (IEEE ISEC 2023), Slides (Best Paper Award)
[43] Josh Maddy and Husnu Saner Narman: Virtual Reality Museum Application for the Arts , (IEEE ISEC 2023), Slides
[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
[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

[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.

Teaching

Teaching

Teaching is one of the main reasons for my involvement in an academic career. I genuinely enjoy teaching and relish mentoring students. My teaching goal is to answer different levels of expectations, such as teaching undergraduate and graduate-level courses, train students, and educate professionals while making students progressively be independent learners.

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Courses

Some of the courses that I teach/taught are as follows:
– Computer Science II (Java, Face-to-face, Online)
– Data Structures and Algorithm (Face-to-face, Online, QM Certified Online Development)
– Advanced Data Structures and Algorithm (Face-to-face)
– Automata and Formal Languages (Face-to-face)
– Database Systems, Engineering, and Management (Face-to-face, Online, QM Certified Online Development)
– Applied Algorithms (QM Certified Online Development)
– Cloud Computing (Face-to-face, Online)
– Cyberwarfare (Online, QM Certified Online Development)

Please see my CV for details about my teaching experiences.

Services

Services

The aims of my vital services for the department, college, university, and community besides teaching and research services are to create partnerships with local schools, develop programs for outreach activities, and enrich the program. Therefore, I am a part of several activities and members of several committees. Some of my activities are as follows:

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Committee Services

– Co-Lead for Training Programs at Institute for Cyber Security (ICS), Marshall University (2021 – Present)
– College Representative on the University Athletic Committee (2019 – Present)
– Department Representative on the College Outreach and Recruitment Committee (2019 – 2020)
– Committee Chair of the Department Outreach Committee (2017 – 2020)
– Committee Member of the Department Research Committee (2017 – 2020)
– Committee Member of the Department Teaching Committee (2017 – 2020)

Outreach Services

– Organization of STEM Camps (2017 – Present)
– Activity Developments for Green and White Days (2018 – Present)
– Coding Workshops at local schools and the university (2017 – Present)
– Robotics Competitions (2018 – Present)
– Assisting local schools to integrate Computer Science education (2018 – Present)

Research Related Services

– Editorial Board: Elsevier Journal of Network and Computer Applications (2018 – Present)
– Virtual Conference Working Group Lead:
    IoTDI 2021
– Publicity Co-Chairs:
    IEEE ICCCN 2017 , IEEE NAS 2017
– Technical Program Committee:
    GLOBECOM, ICC, WCNC, CCGRID, ICFEC, ANT, WF-5G, IoTaIS, COMNETSAT, ISSPIT, UNet, TENCON, WINCOM
– Reviewer:
    IEEE Journal on Selected Areas in Communications, IEEE Transactions on Mobile Computing, IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Vehicular Technology, IEEE Transactions on Industrial Electronics, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Sustainable Computing, Elsevier Journal of Network and Computer Applications, Elsevier Future Generation Computer System, Wiley Software: Practice and Experience

Advising Services

– Faculty Advisor of Institute of Electrical and Electronic Engineers (IEEE) Marshall University Student Chapter
– Faculty Advisor of Geeks and Gadgets Club
– The Coordinator of Community Service Student Leadership Program

Please see my CV for details about my service experiences.

Camps

K-12 Summer Camp

The Purpose of the Computer Science Adventure Zone camp (CS A-Z) is to promote interest in computer science and to help K-12 students understand how computers work and how they help our everyday lives. Students will also learn how to solve problems with computing and programming. The CS A-Z camp will provide fun-filled, hands-on activities that students will enjoy while learning the science behind computing. Click for more info .

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Teacher Camp


Adventure Zone Teacher Academy includes a one-week summer camp that will assist teachers in developing and integrating cybersecurity and computer science subjects into their courses at their home schools. Camp participants will engage in hands-on explorations of the many aspects of security, including ethics, networks, phishing, social engineering, and robotics system. Camp participants will also develop lesson plans for delivering cybersecurity and computer science content in K-12 curricula. 2021 GenCyber Teacher Academy Report. Click for more info .

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Student Research

I have mentored a number of high school, undergraduate, and graduate students for capstone and research projects. Some of them have been sponsored by NASA Student Fellowship, Marshall University Student Funds, and WV State Student Funds. Due to their excellent works, some of them published their works in journals, conferences, and symposiums. Some of them also had opportunities to attend conferences. Please click on the image to see the related gallery.

Student Research

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K-12 Events

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K-12 Events


I have been working to improve computer science, robotics, and cybersecurity awareness among K-12 schools in the region and raising awareness of the University's role in computer science and cybersecurity education. Therefore, I have been organizing summer camps and given numerous presentations to local schools near Marshall University, that introduce computer science. Moreover, I have arranged and attended many programs such as Engineering Day, STEAM Family Night, ACT Workshop, Code and Cybersecurity Summit, Congressional App Challenge Competition, Green and White Days, etc. Each of the programs has many hands-on activities for students. Please click on the image to see the related gallery.

VEX Robotics Competitions

I am the supervisor of the Community Service Leadership Program to help local schools, such as St. Joseph, to support them for their Robotic Club activities. Moreover, I am the faculty advisor of Geeks and Gadgets Student Club that organizes many events such as Annual Marshall University VEX IQ Challenge Competition which hosts more than 10 schools and 200 guests each year. Please click on the image to see the related gallery.

VEX Robotics Competitions

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Volunteers for K-12 Events

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Volunteers

Volunteers for K-12 Events


Due to many K-12 events, many undergraduate and graduate students have been working with me for those outreach activities. They want to be volunteers to give back to the community. I witness their happiness and smiling eyes while they help the others. I appreciate their hard work and willingness to organize such exemplary events. Thank you all. Please click on images to see the related gallery.

Classrooms

I am familiar with Bloom’s Taxonomy, which states that the lowest level of thinking is memorization, and the highest level of thinking is creation. My ultimate aim is to take students to the highest level of thinking by improving their critical thinking and problem-solving abilities. My other important teaching strategy is how to keep students interested in, and to stress that it is challenging but crucial to be able to reach their goal. Therefore, I use several strategies such as Motivating the students about the lectures, subjects, and labs; Providing positive feedback to the students in the classroom environment, privately providing corrective feedback to the students when needed, etc. Please click on images to see the related gallery.

Classrooms

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VexComp


Some Media Appearance

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