Hafiz Khan, Ph.D.

Hafiz Khan, Ph.D.

Assistant Professor at Kennesaw State University

List of Publications [Google Scholar Profile]

Conference Publications

2024

  1. “Explainable Multi-Label Classification Framework for Behavioral Health Based on Domain Concepts.” </br> Francis Nweke, Abm. Adnan Azmee, Md Abdullah Al Hafiz Khan, Yong Pei, Dominic Thomas, and Monica Nandan.
    IEEE Bigdata 2024. Accepted.

  2. “Domain Knowledge-Driven Multi-Label Behavioral Health Identification from Police Report.”</br> Abm Adnan Azmee, Francis Nweke, Md Abdullah Al Hafiz Khan, Yong Pei, Dominic Thomas, and Monica Nandan.
    IEEE Bigdata 2024. Accepted.

  3. Combined Correlational Network for Identifying Behavioral Health Cases from First Responder Report</br>, Mason Pederson, Abm Adnan Azmee, Md Abdullah Al Hafiz Khan, Yong Pei, Dominic Thomas, Monica Nandan, and Francis Nweke.
    IEEE Bigdata 2024. Accepted.

  4. Demo: CaseFinder: Automated Visual and Quantitative Analysis Tool for Police Narrative
    Martin Brown, Dominic Thomas, Md Abdullah Al Hafiz Khan, Abm adnan Azmee, Monica Nandan, Yong Pei.
    IEEE/ACM CHASE 2024. Published.

  5. Poster: Extracting and Annotating Mental Health Forum Corpus: A Comprehensive Validation Pipeline
    Rohith Sundar Jonnalagadda; Abm. Adnan Azmee; Dinesh Attota; Md Abdullah Al Hafiz Khan; Yong Pei.
    IEEE/ACM CHASE 2024. Published.

  6. Large Language Models Performance Comparison of Emotion and Sentiment Classification
    Author(s): Will Stigall, Md Abdullah Al Hafiz Khan, Dinesh Attota, Francis Nweke, Yong Pei
    ACMSE 2024. Published.

  7. Automated Alphabet Detection from Brain Waves
    Author(s): Christopher Dargan, Francis Nweke, Md Abdullah Al Hafiz Khan, Abm Adnan Azmee, Yong Pei
    ACMSE 2024. Published.

  8. Adaptive Attention Aware Fusion for Human-in-Loop Behavioral Health Detection.
    Martin Brown, Abm. Adnan Azmee, Md Abdullah Al Hafiz Khan, Dominic Thomas, Yong Pei and Monica Nandan.
    ACM CHASE 2024 Published.

  9. CBSA: A Deep Transfer Learning Framework for Assessing Post-Stroke Exercises
    Manohar Murikipudi, Abm. Adnan Azmee, Md Abdullah Al Hafiz Khan, and Yong Pei.
    ACM CHASE 2024 Published.

  10. Semantic Learning and Attention Dynamics for Behavioral Classification in Police Narratives.
    Dinesh Attota, Abm. Adnan Azmee, Md Abdullah Al Hafiz Khan, Dominic Thomas, Yong Pei and Monica Nandan.
    ACM CHASE 2024 Published.

  11. Exploring the Impact of CM-II Meditation on Stress Levels in College Students through HRV Analysis.
    Sreekanth Gopi, Nasrin Dehbozorgi, and Md Abdullah Al Hafiz Khan.
    ASEE South East Selection Meeting 2024.

2023

  1. Domain-Enhanced Attention Enabled Deep Network for Behavioral Health Identification from 911 Narratives.
    Abm Adnan Azmee, Martin Brown, Md Abdullah Al Hafiz Khan, Dominic Thomas, Yong Pei, Monica Nandan (2023).
    IEEE BigData on Intelligent Data Mining, 2023.

  2. Sentence Level Analysis for Detecting Mental Health Causes Using Social Media Posts.
    Abm. Adnan Azmee, Manohar Murikipudi, Md Abdullah Al Hafiz Khan and Yong Pei.
    IEEE Compsac DIGI-HEALTH 2023.

  3. CMTN: A Convolutional Multi-Level Transformer to Identify Suicidal Behaviors Using Clinical Notes.
    Manohar Murikipudi, Abm. Adnan Azmee, Md Abdullah Al Hafiz Khan and Yong Pei.
    IEEE Compsac MediComp 2023.

  4. Detection of Behavioral Health Cases from Sensitive Police Officer Narratives.
    Martin Brown, Md Abdullah Al Hafiz Khan, Dominic Thomas, Yong Pei and Monica Nandan.
    IEEE Compsac DIGI-HEALTH 2023.

  5. Post-stroke Exercise Assessment using Hybrid Quantum Neural Network.
    Md Abdullah Al Hafiz Khan, Manohar Murikipudi and Abm Adnan Azmee.
    Accepted in IEEE Compsac 2023.
    Acceptance rate < 27%.

  6. Unsupervised spatio-temporal anomalous thermal behavior monitoring of inside-built environments.
    Naima Khan, Md Abdullah Al Hafiz Khan and Nirmalya Roy.
    Accepted in IEEE DCOSS 2023.
    Acceptance rate 23.25%. Best Paper Award.

  7. Detecting Motor Imagery Movement from EEG Signal
    Abm Adnan Azmee, Manohar Murikipudi and Md Abdullah Al Hafiz Khan
    Accepted in ACM Southeast (ACMSE) conference, 2023.

  8. Comparison of Long Short-Term Memory Networks and Temporal Convolutional Networks for Sentiment Analysis.
    Meghan Brock, Samuel Hekman, Md Abdullah Al Hafiz Khan and Xinyue Zhang
    Accepted in ACM Southeast (ACMSE) conference, 2023.

  9. Evaluation of Query-Based Membership Inference Attack on the Medical Data
    Xinyue Zhang, Lakshmi Prasanna Pedarla, Liang Zhao and Hafiz Khan
    Accepted in ACM Southeast (ACMSE) conference, 2023.

2022

  1. Systematic Analysis of Deep Learning Model for Vulnerable Code Detection.
    Mohammad Nazim, Hossain Shahriar, Md Abdullah Hafiz Khan, Mohammad Masum, Md Jobair Hossain Faruk, Atef Mohamed and Nazmus Sakib.
    IEEE Compsac, Workshop: STPSA, 2022.

  2. An Ensembled Method For Diabetic Retinopathy Classification using Transfer Learning.
    Dinesh Attota, Durga Nagarjuna Tadikonda, Shruthi Pethe and Md Abdullah Al Hafiz Khan.
    IEEE Compsac, Workshop: MediComp. 2022.

  3. Mental workload classification from non-invasive fNIRs signals through deep convolutional neural network.
    Vamsi Krishna Dhulipalla, Md Abdullah Al Hafiz Khan and Hossain Shahriar.
    IEEE Compsac, Workshop: MediComp. 2022.

  4. MRehab: Mutlimodal data acquisition and modeling framework for assessing stroke and cardiac rehabilitation exercises.
    Md Abdullah Al Hafiz Khan and Hossain Shahriar.
    IEEE Compsac, Fast Abstract, 2022.

  5. Reinforcement Learning Agent Path Planning with Expert Demonstration.
    Alan Norkham, Mikulas Chalupa, Noah Gardner and Md Abdullah Al Hafiz Khan.
    IEEE Compsac, Student Research Symposium, 2022.

  6. Definition modeling: literature review and dataset analysis.
    Noah Gardner, Hafiz Khan, Chih-Cheng Hung.
    IEEE Applied and Computing Journals. March 29, 2022.

  7. Cross-Domain Unseen Activity Recognition Using Transfer Learning.
    Md Abdullah Al Hafiz Khan and Nirmalya Roy.
    IEEE SCH: Smart & Connected Health (COMPSAC), April 1, 2022.
    Acceptance rate 23%.

  8. Quantum Machine Learning for Software Supply Chain Attacks: How Far Can We Go?
    Mohammad Masum, Mohammad Nazim, Md Jobair Hossain Faruk, Hossain Shahriar, Maria Valero, Md Abdullah Hafiz Khan, Gias Uddin, Shabir Barzanjeh, Erhan Saglamyurek, Akond Rahman and Sheikh Ahamed. IEEE COMPSAC. April 03, 2022.

2021

  1. Activity Recognition in Wearables Using Adversarial Multi-source Domain Adaptation.
    Avijoy Chakma, Abu Zaher Md Faridee, Md Abdullah Al Hafiz Khan and Nirmalya Roy. In IEEE CHASE’20.

  2. Bayesian Hyperparameter Optimization for Deep Neural Network-Based Network Intrusion Detection
    . Mohammad Masum, Hossain Shahriar, Hisham Haddad, Md Jobair Hossain Faruk, Maria Valero, Md Abdullah Khan, Mohammad A Rahman, Muhaiminul I Adnan, Alfredo Cuzzocrea, Fan Wu. In IEEE International Conference on Big Data (Big Data)

  3. Malware Detection and Prevention using Artificial Intelligence Techniques.
    Md Jobair Hossain Faruk, Hossain Shahriar, Maria Valero, Farhat Lamia Barsha, Shahriar Sobhan, Md Abdullah Khan, Michael Whitman, Alfredo Cuzzocrea, Dan Lo, Akond Rahman, Fan Wu. In IEEE International Conference on Big Data (Big Data)

2019

  1. Improving Disease Named Entity Recognition for Clinical Trial Matching
    Md Abdullah Al Hafiz Khan, Md Shamsuzzaman, Sadid A. Hasan, Mohammad S Sorower, Joey Liu, Vivek Datla, Mladen Milosevic, Gabe Mankovich, Rob van Ommering, Nevenka Dimitrova. BIBM workshop (AIBH) 2019.

  2. BoostER: A Performance Boosting Module for Biomedical Entity Recognition
    Rahul Pandey, Md Shamsuzzaman, Sadid A. Hasan, Mohammad S Sorower, Md Abdullah Al Hafiz Khan, Joey Liu, Vivek Datla, Mladen Milosevic, Gabe Mankovich, Rob van Ommering, Nevenka Dimitrova. BIBM workshop (AIBH) 2019.

  3. AugToAct: Scaling Complex Human Activity Recognition with Few Labels
    Abu Zaher Md Faridee, Md Abdullah Al Hafiz Khan, Nilavra Pathak, Nirmalya Roy. 16th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2019. Houston, United States.

2018

  1. UnTran: Recognizing Unseen Activities with Unlabeled data using Transfer Learning
    Md Abdullah Al Hafiz Khan, Nirmalya Roy. In ACM/IEEE International Conference on Internet-of-Things Design and Implementation (IoTDI) (IoTDI 2018). Orlando, Florida, USA.

  2. Firearm Detection Using Wrist Worn Tri-Axis Accelerometer Signals
    Md Abdullah Al Hafiz Khan, David Welsh, Nirmalya Roy. Accepted in IEEE Workshop on Sensing Systems and Applications Using Wrist Worn Smart Devices (WristSense), 2018. Athens, Greece.

  3. Scaling Human Activity Recognition via Deep Learning-based Domain Adaptation
    Md Abdullah Al Hafiz Khan, Nirmalya Roy, Archan Misra. In IEEE international conference on Pervasive Computing and Communication (PerCom), 2018. Athens, Greece.

2017

  1. Md Abdullah Al Hafiz Khan, Nirmalya Roy, H M Sajjad Hossain. COAR: Collaborative and Opportunistic Human Activity Recognition In Proceeding of the 13th International Conference on Distributed Computing in Sensor Systems (DCOSS), 2017. Ottawa, Canada. [PDF]

  2. TransAct: Transfer learning enabled activity recognition
    Md Abdullah Al Hafiz Khan, Nirmalya Roy. In Proceeding of The First International Workshop on Pervasive Smart Living Spaces (PerLS), 2017. Kona, Big Island of Hawaii, USA.

  3. SoccerMate: A Personal Soccer Attribute Profiler using Wearables
    H M Sajjad Hossain, Md Abdullah Al Hafiz Khan, Nirmalya Roy. In Proceeding of First International Workshop on Behavioral Implications of Contextual Analytics (BICA) (co-located with PerCom 2017). Kona, Big Island of Hawaii, USA.

  4. Demo: SenseBox: A Low-Cost Smart Home System
    Joseph Taylor, H M Sajjad Hossain, Mohammad Arif Ul Alam, Md Abdullah Al Hafiz Khan, Nirmalya Roy, Elizabeth Galik, and Aryya Gangopadhyay. In Proceedings of the IEEE International Conference on Pervasive Computing and Communications Demonstrations (PerCom), March 2017. Kona, Big Island of Hawaii, USA.

2016

  1. RAM: Radar-based Activity Monitor
    Md Abdullah Al Hafiz Khan, Ruthvik Kukkapalli, Piyush Waradpande, Sekar Kulandaivel, Nilanjan Banerjee, Nirmalya Roy, Ryan Robucci. In Proceeding of InfoCom, San francisco, California, April, 2016.

  2. Active Learning Enabled Activity Recognition
    H M Sajjd Hossain, Nirmalya Roy, Md Abdullah Al Hafiz Khan. In Proceeding of PerCom, Sydney, Australia, March, 2016.

2015

  1. Infrastructure-less Occupancy Detection and Semantic Localization in Smart Environments
    Md Abdullah Al Hafiz Khan, H M Sajjad Hossain, Nirmalya Roy. In Proceeding of 12th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (Mobiquitous’ 2015). Coimbra, Portugal. July, 2015.

  2. SensePresence: Infrastructure-less Occupancy Detection for Opportunistic Sensing Applications
    Md Abdullah Al Hafiz Khan, H M Sajjad Hossain, Nirmalya Roy. In Proceeding of International Workshop On Human Mobility Computing And Privacy (HuMoComP ‘15) Pittsburgh. June, 2015.

  3. Sleep Well: A Sound Sleep Monitoring Framework for Community Scaling
    H M Sajjad Hossain, Nirmalya Roy, Md Abdullah Al Hafiz Khan. In Proceeding of IEEE International Conference on Mobile Data Management (MDM ‘15) Pittsburgh. June, 2015.

  4. Acoustic Based Appliance State Identifications for Fine Grained Energy Analytics
    Nilavra Pathak, Md Abdullah Al Hafiz Khan, Nirmalya Roy. In PerCom 2015, St. Louis, Missouri.

  5. Demo abstract: a microphone sensor based system for green building applications
    Md Abdullah Al Hafiz Khan, Sheung Lu, Nirmalya Roy, Nilavra Pathak. Pervasive Computing and Communication Workshops (PerCom Workshops), 2015 IEEE International Conference. Louis, Missouri.

Journal Publications

2020

  1. An Ontology-driven Treatment Article Retrieval Systemfor Precision Oncology.
    Zheng Chen, Sadid A. Hasan, Joey Liu, Vivek Datla, Md Shamsuzzaman, Md Abdullah Al Hafiz Khan,Mohammad S Sorower, Gabe Mankovich, Rob van Ommering, Nevenka Dimitrova. In ArXiv, abs/2002.05653 (CoRR-2020), February 2020.

2018

  1. Wearable Sensor-based Location-specific Occupancy Detection in Smart Environments.
    Md Abdullah Al Hafiz Khan, Nirmalya Roy, H M Sajjad Hossain. Mobile Information Systems (MIS 2018) Journal. January, 2018.

  2. DeActive: Scaling Activity Recognition with Active Deep Learning
    M Sajjad Hossain, Md Abdullah Al Hafiz Khan, Nirmalya Roy. Proceedings of ACM Interactive Mobile, Wearable, & Ubiquitous Technology. (IMWUT) (June 2018)

2017

  1. An Active Sleep Monitoring Framework Using Wearables
    H M Sajjad Hossain, Sreenivasan R. Ramamurthy, Md Abdullah Al Hafiz Khan and Nirmalya Roy.ACM Transactions on Interactive Intelligent Systems (TIIS), 2017.

2016

  1. Active Learning Enabled Activity Recognition
    H M Sajjad Hossain, Md Abdullah Al Hafiz Khan and Nirmalya Roy. Pervasive and Mobile Computing (PMC) Journal, Elsevier 2016

2015

  1. Infrastructure-less Occupancy Detection and Semantic Localization in Smart Environments
    Md Abdullah Al Hafiz Khan, H M Sajjad Hossain, Nirmalya Roy. EAI Endorsed Transactions on Context-aware Systems and Applications 15(5): e3, 2015.

Patents

2020

  1. Custom Three-dimensional (3D) print mode generation.
    Sunil KOTHARI, Kelly RONK, Anthony POWELL, Jun ZENG, Md Abdullah Al Hafiz KHAN, Tod HEILES, Goffril OBEGI.
    Patent number: WO/2020/145982, Publication date: 2020/7/30, Patent office: WO, Application number: PCT/US2019/013081.

  2. Detecting three-dimensional (3D) part lift and drag.
    Sunil KOTHARI, Tod HEILES, Luke BOCKMAN, Md Abdullah Al Hafiz KHAN, Gary J. DISPOTO.
    Patent number: WO/2020/153951, Application number: PCT/US2019/014723, Publication date: 2020/7/30.

  3. detecting three-dimensional (3D) part drag.
    Todd GOYEN Sunil KOTHARI, Tod HEILES, Luke BOCKMAN, Gary J. DISPOTO, Md Abdullah Al Hafiz KHAN,
    Patent number: WO/2020/153949, Application number: PCT/US2019/014712, Publication date: 2020/7/30.