My Publications:

  1. Mohammad Akidul Hoque, Shamim Ehsan, Anuradha Choudhury, Peter Lum, Monika Akbar, Shashwati Geed, and M. Shahriar Hossain. 2025. Toward Sensor-to-Text Generation: Leveraging LLM-Based Video Annotations for Stroke Therapy Monitoring. Bioengineering 12, no. 9: 922. Paper
  2. Moqsadur Rahman, A. Sanchez, K. Piryani, S. Das, S. Munikoti, L. de la Torre Quintana, M. Hasan, J. Aguayo, M. Akbar, M. S. Hossain, and M. Halappanavar. Book Chapter Title: Generative AI for Advanced Cyber Defense. Book Title: AI for Cybersecurity: Research and Practice, ISBN: 978-1-394-29374-2, December 2025. Wiley-IEEE Press. Editors: H. Song, E. Bertino, A. Vasquez, H. H. Wang, Y. Shoshitaishvili, S. K. Jha.
  3. Alireza Nouri and M. Shahriar Hossain. DifStoryGen: Diffusion-Based Storytelling Algorithm with Distributed Attention. IEEE BigData, 2024. Paper
  4. Moqsadur Rahman, Monika Akbar, Justice T. Walker, and M. Shahriar Hossain. A Mixture of Experts in Forecasting Student Performance in Classroom Programming Activities. Conference on Information and Knowledge Management, CIKM 2024. Paper
  5. Alireza Nouri and M. Shahriar Hossain. CoRBS: a dynamic storytelling algorithm using a novel contextualization approach for documents utilizing BERT features. Knowledge and Information Systems, Springer Nature Link, 2024. Paper
  6. Ahnaf Farhan, Roberto Camacho Barranco, Monika Akbar, and M. Shahriar Hossain. Temporal Word Embedding with Predictive Capability. Knowledge and Information Systems. A Springer Link Journal. 2023. Paper.
  7. Jaime C Acosta, M. Shahriar Hossain, Monika Akbar, and Veronica Rivas. Automatic Data Generation and Rule Creation for Network Scanning Tools. Future Technologies Conference (FTC) 2023.
  8. Stephen Coulthart, M. Shahriar Hossain, Jessica Sumrall, Christopher Kampe, and Kathleen M. Vogel. Data-Science literacy for future security and intelligence professionals. Journal of Policing, Intelligence and Counter Terrorism. 2023. Paper.
  9. Moqsadur Rahman, Saurav Kumar, Santosh Palmate, and M. Shahriar Hossain. Self-supervised Learning for Hyperspectral Images of Trees. ACM SIGKDD Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data (DLP-KDD 2022). August 2022. Paper.
  10. Ismael V. Miranda, M. Shahriar Hossain, and Monika Akbar. Human Mobility driven Modeling of an Infectious Disease. The Second IEEE International Workshop on Social Data Mining in the Post-pandemic Era (SocDM 2022) held in conjunction with the 2022 IEEE International Conference on Data Mining (ICDM2022). Paper.
  11. Ahnaf Farhan, Roberto Camacho Barranco, M. Shahriar Hossain and Monika Akbar. Diffusion-based Temporal Embeddings for Biomedical Entities. The AAAI-21 Workshop on Scientific Document Understanding at the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), SDU@AAAI-21, 2021. Paper.
  12. Jaime Acosta, Luisana Clarke, Stephanie Medina, Monika Akbar, M. Shahriar Hossain and Frederica Free-Nelson. Repeatable Experimentation for Cybersecurity Moving Target Defense. SecureComm 2021: 17th EAI International Conference on Security and Privacy in Communication Networks, 2021. Link: Springer International Publishing. Note: The work was cited by U.S. Army DEVCOM Army Research Laboratory Public Affairs.
  13. Ahnaf Farhan and M. Shahriar Hossain. VizObj2Vec: Contextual Representation Learning for Visual Objects in Video-frames. IEEE BigData, 2020. Link. Acceptance rate: 15.5%.
  14. Mark A. Williams, Roberto C. Barranco, Sheikh M. Naim, Sumi Dey, ​M. Shahriar Hossain​, and Monika Akbar. A Vulnerability Analysis and Prediction Framework. Computers & Security. Computers & Security. 101751, Elsevier, ScienceDirect, 2020. Link. Impact factor: 3.062​.
  15. Md Abdul Kader, Arnold P. Boedihardjo, M. Shahriar Hossain. F2ConText: How to Extract Holistic Contexts of Persons of Interest for Enhancing Exploratory Analysis. Springer. Knowledge and Information Systems: 61, pages: 363–396. 2019. Link (Accepted version) Impact factor: 2.247.
  16. D. R. Easterling, L. T. Watson, N. Ramakrishnan, I. Davidson, R. F. Helm, S. Tadepalli, and M. Shahriar Hossain. Unified approach to dependent and disparate clustering of nonhomogeneous data. International Journal of Applied Mathematics. Volume 32, No. 3. 2019. (Link)
  17. Roberto Camacho Barranco, Raimundo F. Dos Santos, M. Shahriar Hossain, Monika Akbar. Tracking the Evolution of Words with Time-reflective Text Representations. IEEE Big Data 2018, Regular paper in the 4th Special Session on Intelligent Data Mining. The paper later appeared at the International Journal of Data Mining Science. (Accepted version)
  18. Mark A. Williams, Sumi Dey, Roberto Camacho Barranco, Sheikh Motahar Naim, M. Shahriar Hossain, and Monika Akbar. Analyzing Evolving Trends of Vulnerabilities in National Vulnerability Database. IEEE Big Data 2018, International Workshop on Big Data Analytics for Cyber Intelligence and Defense. December 10-13, 2018, Seattle, WA, USA. (Accepted version)
  19. Roberto Camacho Barranco, Arnold P. Boedihardjo, M. Shahriar Hossain. Analyzing Evolving Stories in News Articles. International Journal of Data Science and Analytics, Springer International Publishing. (SpringerLink link) First Online: 21 December 2017.
  20. Sheikh Motahar Naim, Arnold P. Boedihardjo, M. Shahriar Hossain. A Scalable Model for Tracking Topical Evolution in Large Document Collections. IEEE Big Data, 2017. (pdf)
  21. Roberto Camacho Barranco, Arnold P. Boedihardjo, M. Shahriar Hossain. Analyzing Evolving Stories in News Articles. SIGKDD BigMine, 2017. (pdf ) An extended version of the paper has been published in Springer International Journal of Data Science and Analytics.
  22. Roberto Camacho Barranco, Laura M. Rodriguez, Rebecca Urbina, M. Shahriar Hossain. Enhancing Yelp Data with Deep Learning and Information Reuse. IEEE 18th International Conference on Information Reuse and Integration (IEEE IRI '17), 2017.
  23. Sheikh Motahar Naim, Kostadin Damevski, M. Shahriar Hossain. Reconstruction of Evolving Software Architectures using a Coordinated Clustering Framework. Automated Software Engineering Journal, Springer US, September 2017, Volume 24, Issue 3, pp 543–572. (pdf). Impact factor: 2.625.
  24. Damien Van Puyvelde, Stephen J. Coulthart, M. Shahriar Hossain. Beyond the Buzzword: Big Data and National Security Decision-making. International Affairs Journal. 2017. link. Impact factor: 1.935.
  25. Md Abdul Kader, Arnold P. Boedihardjo, Sheikh Motahar Naim, M. Shahriar Hossain. Contextual Embedding for Distributed Representations of Entities in a Text Corpus. SIGKDD BigMine, 2016. (pdf)
  26. Sheikh Motahar Naim, Md Abdul Kader, Arnold P. Boedihardjo, M. Shahriar Hossain. Encoding Lineage in Scholarly Articles. AAAI Conference on Artificial Intelligence (AAAI-16), Workshop on Scholarly Big Data: AI Perspectives, Challenges, and Ideas, 2016. (pdf)
  27. Md Abdul Kader, Sheikh Motahar Naim, Arnold P. Boedihardjo, M. Shahriar Hossain. Connecting the Dots using Contextual Information Hidden in Text and Images. AAAI Conference on Artificial Intelligence (AAAI-16), Student abstract program, 2016. (Link)
  28. Debakar Shamanta, Sheikh Motahar Naim, Parang Saraf, Naren Ramakrishnan, M. Shahriar Hossain. Concurrent Inference of Topic Models and Distributed Vector Representations. The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML PKDD '15), 2015. (pdf) (Supplementary materials)
  29. David R. Easterling, M. Shahriar Hossain, Layne T. Watson, Naren Ramakrishnan. Studying Constrained Clustering Problems Using Homotopy Maps. INFORMS Computing Society Conference on Operations Research and Computing: Algorithms and Software for Analytics, Pages: 88-102, 2015.
  30. Ali Jalal-Kamali, M. Shahriar Hossain, Vladik Kreinovich. How to Understand Connections Based on Big Data: From Cliques to Flexible Granules. Information Granularity, Big Data, and Computational Intelligence. Springer International Publishing, Volume 8, Pages: 63-87, 2014. (pdf) (Springer International Publishing)
  31. M. Shahriar Hossain, Manish Marwah, Amip Shah, Layne T. Watson, and Naren Ramakrishnan. AutoLCA: A Framework for Sustainable Redesign and Assessment of Products. ACM Transactions on Intelligent Systems and Technology (ACM TIST), Volume 5, No. 2, 2014. (pdf) (ACM TIST Volume 5, No. 2)
  32. Marjan Momtazpour, Patrick Butler, Naren Ramakrishnan, M. Shahriar Hossain, Mohammad C. Bozchalui, Ratnesh Sharma, Charging and Storage Infrastructure Design for EVs. ACM Transactions on Intelligent Systems and Technology (ACM TIST), Volume 5, No. 3. 2014. (pdf)
  33. Rhonda D. Phillips, M. Shahriar Hossain, Layne T. Watson, Randolph H. Wynne, Naren Ramakrishnan. Enrichment Procedures for Soft Clusters: a Statistical Test and its Applications. Computer Modeling Engrg. Sci. 2014, Volume 97, No. 2, Pages: 175--197.
  34. Alex Endert, M. Shahriar Hossain, Naren Ramakrishnan, Chris North, Patrick Fiaux, Christopher Andrews. The Human is the Loop: New Directions for Visual Analytics. Journal of Intelligent Information Systems, Springer, 2014. (pdf) (Springer US link)
  35. David R. Easterling, M. Shahriar Hossain, Layne T. Watson, Naren Ramakrishnan. Probability-one Homotopy Maps for Tracking Constrained Clustering Solutions. High Performance Computing Symposium (HPC '13),  International Society for Computer Simulation, Article No. 17, 2013. (pdf)
  36. Lauren Bradel, Jessica Zeitz Self, Alex Endert, M. Shahriar Hossain, Chris North, Naren Ramakrishnan. How Analysts Cognitively "Connect the Dots". IEEE Intelligence and Security Informatics Conference (ISI'13),  Pages: 24-26, 2013. (pdf)
  37. M. Shahriar Hossain, Naren Ramakrishnan, Ian Davidson, and Layne T. Watson. How to Alternatize a Clustering Algorithm. Data Mining and Knowledge Discovery Journal, Springer, 27(2):193-224, September 2013. (Old version)
  38. M. Shahriar Hossain, Patrick Butler, Arnold P. Boedihardjo, and Naren Ramakrishnan. Storytelling in Entity Networks to Support Intelligence Analysts. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'12),  2012. (paper)
  39. Marjan Momtazpour, Patrick Butler, M. Shahriar Hossain, Mohammad C. Bozchalui, Naren Ramakrishnan, Ratnesh Sharma. Coordinated Clustering Algorithms to Support Charging Infrastructure Design for Electric Vehicles. ACM SIGKDD International Workshop on Urban Computing (UrbComp 2012),  2012. (paper)
  40. Hao Wu, Michael Mampaey, Nikolaj Tatti, Jilles Vreeken, M. Shahriar Hossain, Naren Ramakrishnan. Where Do I Start? Algorithmic Strategies to Guide Intelligence Analysts. ACM SIGKDD Workshop on Intelligence and Security Informatics (ISI-KDD 2012),  2012. (paper)
  41. M. Shahriar Hossain, Praveen Kumar Reddy Ojili, Cindy Grimm, Rolf Mueller, Layne T. Watson, Naren Ramakrishnan. Scatter/Gather Clustering: Flexibly Incorporating User Feedback to Steer Clustering Results. IEEE Conference on Visual Analytics Science and Technology (VAST),  2012. (paper)
  42. M. Shahriar Hossain, Monika Akbar, Nicholas F. Polys. Narratives in the Network: Interactive Methods for Mining Cell Signaling Networks. Journal of Computational Biology,  Volume, 19, No, 9, 2012, Pages: 1043-1059. (paper)
  43. M. Shahriar Hossain, Joseph Gresock, Yvette Edmonds, Richard Helm, Malcolm Potts, and Naren Ramakrishnan. Connecting the Dots between PubMed Abstracts. PLoS ONE, Vol. 7, No. 1: e29509, 2012. The paper is available here.
  44. Justin Jee, Lee Case Klippel, M. Shahriar Hossain, Naren Ramakrishnan, and Bud Mishra. Discovering the Ebb and Flow of Ideas from Text Corpora. IEEE Computer, Vol. 45, No. 1, January 2012.
  45. M. Shahriar Hossain, Christopher Andrews, Nare Ramakrishnan, and Chris North. Helping Intelligence Analysts Make Connections. AAAI'11, Workshop on Scalable Integration of Analytics and Visualization (WS-11-17), Pages: 22-31, 2011. (pdf)
  46. Naren Ramakrishnan, Manish Marwah, Amip Shah, Debprakash Patnaik, M. Shahriar Hossain, Naren Sundaravaradan, and Chandrakant Patel. Data Mining Solutions for Sustainability Problems. IEEE Potentials, Volume 31, No. 6, Pages: 28-34, 2012. (pdf)
  47. Christopher Andrews, M. Shahriar Hossain, Samah Gad, Naren Ramakrishnan, and Chris North. Analyst's Workspace: Protecting Vastopolis - VAST 2011 mini-challenge 3 award: Novel Use of Large Screen Workspace to Support Analysis. IEEE Symposium on Visual Analytics Science and Technology (VAST'11), 2011. (pdf)
  48. Rafal A. Angryk, M. Shahriar Hossain, and Brandon Norick. Semantically-Guided Clustering of Text Documents via Frequent Subgraphs Discovery. 19th International Symposium on Methodologies for Intelligent Systems, Poland, June 2011, To be published by Springer-Verlag in LNAI (Lecture Notes in Artificial Intelligence). (pdf)
  49. M. Shahriar Hossain, Satish Tadepalli, Layne T. Watson, Ian Davidson, Richard F. Helm, and Naren Ramakrishnan. Unifying Dependent Clustering and Disparate Clustering for Non-homogeneous Data. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'10), Washington, DC, July 2010, Pages: 593-602. (paper)  (poster)  (presentation)
  50. M. Shahriar Hossain, Michael Narayan, and Naren Ramakrishnan. Efficiently Discovering Hammock Paths from Induced Similarity Networks. Computing Research Repository (CoRR), Technical Report cs.AI/1002.3195, Feb 2010. (pdf) 
  51. M. Shahriar Hossain, Monika Akbar and Nicholas F. Polys. Storytelling and Clustering for Cellular Signaling Pathways. International Conference on Information and Knowledge Engineering (IKE'09), 2009, Pages: 109-115. (pdf) (project link)
  52. Md. Taufiq Hasan Malik, Md. Mahbubul Alam Joarder, M. Shahriar Hossain. Multi-split Domain ERA Model for Solving Constraint Satisfaction Problems. Journal of the Bangladesh Electronic Society, Vol. 8, No. 1, June 2008.
  53. M. Shahriar Hossain, M. Muztaba Fuad, and Md. Mahbubul Alam Joarder. Homogenization for Divisible and Non-Divisible Problems across a Local Area Network. Dhaka University Journal of Science, Vol. 56, No. 1, January 2008. (pdf)
  54. M. Shahriar Hossain, Monika Akbar, and J. Denbigh Starkey. Inexpensive Construction of a 3D Face Model from Stereo Images. 10th International Conference on Computer and Information Technology (IEEE Co-sponsored ICCIT '07), Dhaka, Bangladesh, 2007.
  55. M. Shahriar Hossain, and Rafal A. Angryk. GDClust: A Graph-Based Document Clustering Technique. 2007 IEEE International Conference on Data Mining (ICDM'07), IEEE ICDM Workshop on Mining Graphs and Complex Structures, IEEE Press, Omaha, NE, USA, October 28-31, 2007. Pages: 417-422. (pdf)
  56. M. Shahriar Hossain, Monika Akbar, and Rafal A. Angryk. Sense Based Organization of Descriptive Data. 2007 IEEE International Conference on Systems, Man and Cybernetics, IEEE Press, Montreal, Quebec, Canada, October 7-10, 2007. Pages: 468-473. (pdf)
  57. M. Shahriar Hossain, and Rafal A. Angryk. Heuristic Algorithm for Interpretation of Non-Atomic Categorical Attributes in Similarity-based Fuzzy Databases - Scalability Evaluation. Proceedings of North American Fuzzy Information Processing Society (NAFIPS) Conference (IEEE Sponsored), IEEE Press, San Diego, California, USA, June 24-27, 2007, Pages 233-238. ( pdf)
  58. M. Shahriar Hossain, and Rafal A. Angryk. Algorithm for defuzzification of multi-valued taxonomic attributes in similarity-based fuzzy relational databases. Proceedings of the IFSA 2007 World Congress (IFSA '07), Cancun, Mexico, June 18-21, 2007, published in Theoretical Advances and Applications of Fuzzy Logic and Soft Computing, O. Castillo, P. Melin, O.M. Ross, R.S. Cruz, W. Pedrycz, J. Kacprzyk (Eds.) in Series: Advances in Soft Computing (ASC), Vol. 42, Springer-Verlag, 2007, XXI, 895 p., ISBN: 3-540-72433-9, Pages 23-35. (pdf) (appendix for dataset construction)
  59. Md. Taufiq Hasan Malik, Md. Shafiuzzaman, Ahammad Firoj, Parul Akand, M. Shahriar Hossain, Md. Mahbubul Alam Joarder, and Shareeful Islam. Diskless Clustered Environment for Parallel Processing across a Local Area Network. Journal Of The Bangladesh Electronic Society, Vol.5, No. 2, December 2005.
  60. M. Shahriar Hossain, M. Muztaba Fuad, and Md. Mahbubul Alam Joarder. Agent Based Processing of Global Evaluation Function. Journal of Electronics and Computer Science, Jahangirnagar University Press, Bangladesh, Vol.6, June 2005, Pages 35-45. (pdf)
  61. M. Muztaba Fuad, Debzani Deb, and M. Shahriar Hossain. A Trainable Fuzzy Spam Detection System. 7th International Conference on Computer and Information Technology, Dhaka, Bangladesh, December 2004. (pdf)
  62. M. Shahriar Hossain, M. Muztaba Fuad, Debzani Deb, K. M. Najmul Hasan Khan, and Md. Mahbubul Alam Joarder. Load Balancing in a Networked Environment through Homogenization. International Conference on Cybernetics and Information Technologies, Orlando, USA, July 21-25, 2004, Pages 99-104. (pdf)
  63. M. Shahriar Hossain, M. Muztaba Fuad, Debzani Deb, K. M. Najmul Hasan Khan, and Md. Mahbubul Alam Joarder. Homogenization: A Mechanism for Distributed Processing across a Local Area Network. Workshop on Communication Abstractions for Distributed Systems In The ECOOP 2004 Conference, Oslo, Norway, June 14-18, 2004. (pdf)
  64. M. Shahriar Hossain, K. M. Najmul Hasan Khan, M. Muztaba Fuad, and Debzani Deb. Triangular Dynamic Architecture for Distributed Computing in a LAN Environment. 6th International Conference on Computer and Information Technology, Dhaka, Bangladesh, 2003, Pages 481-486. (pdf)