Publications

• [Deployed Application Award] Zainab Akhtar, Umair Qazi, Aya El-Sakka, Rizwan Sadiq, Ferda Ofli, Muhammad Imran, Flood Insights: Integrating Remote and Social Sensing Data for Flood Exposure, Damage, and Urgent Needs Mapping. In Proceedings of The AAAI Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence (AAAI-IAAI), Feb 2024, Vancouver, Canada.
• Reem Suwaileh, Tamer Elsayed, and Muhammad Imran, Role of Geolocation Prediction in Disaster Management. In: Singh, A. (eds) International Handbook of Disaster Research. Springer, July, 2023. ISBN: 978-981-16-8800-3. https://doi.org/10.1007/978-981-16-8800-3_176-2
• Reem Suwaileh, Muhammad Imran, and Tamer Elsayed. IDRISI-RA: The First Arabic Location Mention Recognition Dataset of Disaster Tweets. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL), vol 1, Long Papers, pages 16298–16317, July, 2023. Toronto, Canada.
• Ferda Ofli, Muhammad Imran, Umair Qazi, Julien Roch, Catherine Pennington, Vanessa Banks, Remy Bossu. Landslide detection in real-time social media image streams. In: Neural Computing & Applications (2023). https://doi.org/10.1007/s00521-023-08648-0
• Zainab Akhtar, Umair Qazi, Rizwan Sadiq, Aya El Sakka, Muhammad Sajjad, Ferda Ofli, Muhammad Imran. Mapping Flood Exposure, Damage, and Population Needs Using Remote and Social Sensing: A Case Study of 2022 Pakistan Floods. In Proceedings of the Web Conference (WWW) 2023, Austin, Texas, USA. https://doi.org/10.1145/3543507.3583881
• Reem Suwaileh, Tamer Elsayed, and Muhammad Imran. IDRISI-RE: A generalizable dataset with benchmarks for location mention recognition on disaster tweets. In: Information Processing & Management 60, no. 3 (2023): 103340. DOI: https://doi.org/10.1016/j.ipm.2023.103340
• Rizwan Sadiq, Zainab Akhtar, Steve Peterson, Katelyn Keegan, Aya El-Sakka, Muhammad Imran, Ferda Ofli. Towards fine-grained object-level damage assessment during disasters. Frontiers in Earth Science, 11, p.990930, 2023. DOI: https://doi.org/10.3389/feart.2023.990930.
• Zijun Long, Richard McCreadie, Muhammad Imran: CrisisViT: A Robust Vision Transformer for Crisis Image Classification. In Proceedings of The 20th Annual Global Conference on Information Systems for Crisis Response and Management (ISCRAM), 2023, Omaha, Nebraska, USA.
• Masoomali Fatehkia, Muhammad Imran, Ingmar Weber: Towards Real-time Remote Social Sensing via Targeted Advertising. In Proceedings of The 20th Annual Global Conference on Information Systems for Crisis Response and Management (ISCRAM), 2023, Omaha, Nebraska, USA. pages 396-406.
• Zainab Akhtar, Muhammad Sajjad, Muhammad Imran and Ferda Ofli. Risk Mapping in Managing Flood Vulnerability in Disaster Management. In: International Handbook of Disaster Research, Springer Nature, 2023. ISBN: 978-981-16-8800-3. DOI: https://doi.org/10.1007/978-981-16-8800-3_177-1
• Reem Suwaileh, Tamer Elsayed, Muhammad Imran, (2023). Role of Geolocation Prediction in Disaster Management. In: Singh, A. (eds) International Handbook of Disaster Research. Springer, Singapore. https://doi.org/10.1007/978-981-16-8800-3_176-1
• Ferda Ofli, Zainab Akhtar, Rizwan Sadiq, Muhammad Imran. Triangulation of remote sensing, social sensing, and geospatial sensing for flood mapping, damage estimation, and vulnerability assessment. In EGU General Assembly Conference Abstracts, pp. EGU22-7561, 2022. DOI: https://doi.org/10.5194/egusphere-egu22-7561
• Rizwan Sadiq, Muhammad Imran and Ferda Ofli. Remote Sensing for Flood Mapping and Monitoring. In: International Handbook of Disaster Research. Springer Nature Singapore, 2022, pp. 1–19. doi: 10.1007/978-981-16-8800-3_178-1
• Firoj Alam, Kashif Ahmad, Md. Arid Hasan, Ferda Ofli and Muhammad Imran. Role of Social Media Imagery in Disaster Informatics. In: International Handbook of Disaster Research. Springer Nature Singapore, 2022, pp. 1–21. doi: 10.1007/978-981-16-8800-3_170-1
• Siqin Wang, Xiao Huang, Tao Hu, Bing She, Mengxi Zhang, Ruomei Wang, Oliver Gruebner, Muhammad Imran, Jonathan Corcoran, Yan Liu et al. A global portrait of expressed mental health signals towards COVID-19 in social media space. In: International Journal of Applied Earth Observation and Geoinformation 116, 2023, p. 103160 DOI: 10.1016/j.jag.2022.103160
• Nando Metzger, John E Vargas-Muñoz, Rodrigo C Daudt, Benjamin Kellenberger, Thao Ton-That Whelan, Ferda Ofli, Muhammad Imran, Konrad Schindler and Devis Tuia. Fine-grained population mapping from coarse census counts and open geodata. In: Nature Scientific Reports 12.1, 2022, pp. 1–14. DOI: 10.1038/s41598-022-24495-w
• Firoj Alam, Tanvirul Alam, Ferda Ofli and Muhammad Imran. Robust Training of Social Media Image Classification Models. In: IEEE Transactions on Computational Social Systems, 2022. DOI: 10.1109/TCSS.2022.3230839
• Fevziye Irem Eyiokur, Alperen Kantarcı, Mustafa Ekrem Erakın, Naser Damer, Ferda Ofli, Muhammad Imran, Janez Križaj, Albert Ali Salah, Alexander Waibel, Vitomir Štruc et al. A survey on computer vision based human analysis in the COVID-19 era. In: Image and Vision Computing, 2022, p. 104610. DOI: 10.1016/j.imavis.2022.104610
• Firoj Alam, Tanvirul Alam, Md Hasan, Abul Hasnat, Muhammad Imran and Ferda Ofli. MEDIC: a multi-task learning dataset for disaster image classification. In: Neural Computing and Applications, 2022, pp. 1–24. DOI: 10.1109/TCSS.2022.3230839
• Muhammad Imran, Umair Qazi, Ferda Ofli. TBCOV: Two Billion Multilingual COVID-19 Tweets with Sentiment, Entity, Geo, and Gender Labels. Data 2022, 7(1), 8, January 2022. https://doi.org/10.3390/data7010008.
  MDPI published version: https://www.mdpi.com/2306-5729/7/1/8
  Preprint: https://arxiv.org/abs/2110.03664
  Dataset: https://crisisnlp.qcri.org/tbcov
  Trends service: https://covid19-trends.qcri.org/
• Rizwan Sadiq, Zainab Akhtar, Muhammad Imran, Ferda Ofli. Integrating remote sensing and social sensing for flood mapping, Remote Sensing Applications: Society and Environment, Volume 25, 2022, 100697, ISSN 2352-9385, https://doi.org/10.1016/j.rsase.2022.100697. (Science direct published version)
• Muhammad Imran, Umair Qazi, Ferda Ofli, Steve Peterson, and Firoj Alam. AI for Disaster Rapid Damage Assessment from Microblogs. In Proceedings of The Thirty-Fourth Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-22), February 2022.
• Catherine VL Pennington, Rémy Bossu, Ferda Ofli, Muhammad Imran, Umair W Qazi, Julien Roch, Vanessa J Banks. A near-real-time global landslide incident reporting tool demonstrator using social media and artificial intelligence, International Journal of Disaster Risk Reduction, Volume 77, July 2022, 103089, https://doi.org/10.1016/j.ijdrr.2022.103089.
• Goetz, Stephan J., Connor Heaton, Muhammad Imran, Yuxuan Pan, Zheng Tian, Claudia Schmidt, Umair Qazi, Ferda Ofli, and Prasenjit Mitra. Food insufficiency and Twitter emotions during a pandemic. Applied EconomicPerspectives and Policy 1–22, April 2022. https://doi.org/10.1002/aepp.13258.
• Aktı, Şeymanur, Ferda Ofli, Muhammad Imran, and Hazim Kemal Ekenel. Fight Detection from Still Images in the Wild. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp. 550-559. 2022., January 2022.
• Ethan Weber, Dim P. Papadopoulos, Àgata Lapedriza, Ferda Ofli, Muhammad Imran, Antonio Torralba: Incidents1M: a large-scale dataset of images with natural disasters, damage, and incidents. arXiv (preprint), January 2022.
• Ferda Ofli, Umair Qazi, Muhammad Imran, Julien Roch, Catherine Pennington, Vanessa Banks, Remy Bossu. A Real-time System for Detecting Landslide Reports on Social Media using Artificial Intelligence. arXiv (preprint), February 2022.
• Benjamin Kellenberger, John E. Vargas-Muñoz, Devis Tuia, Rodrigo C. Daudt, Konrad Schindler, Thao Ton-That Whelan, Brenda Ayo, Ferda Ofli, and Muhammad Imran. Mapping Vulnerable Populations with AI. Data-driven Humanitarian Mapping Workshop at ACM SIGKDD Conference on Knowledge Discovery and Data Mining, August 2021.
• Ingmar Weber, Muhammad Imran, Ferda Ofli, Fouad Mrad, Jennifer Colville, Mehdi Fathallah, Alissar Chaker, Wigdan Seed Ahmed: Non-Traditional Data Sources: Providing Insights into Sustainable Development. Communications of the ACM (CACM), 2021. DOI: https://doi.org/10.1145/3447739. (Impact Factor: 6.98)
• Irfan Ullah, Sharifullah Khan, Muhammad Imran, Young-Koo Lee: RweetMiner: Automatic Identification and Categorization of Help Requests on Twitter during Disasters. In Expert Systems With Applications Journal, 2021. DOI: https://doi.org/10.1016/j.eswa.2021.114787, (Impact Factor: 5.45)
• Firoj Alam, Hassan Sajjad, Muhammad Imran, Ferda Ofli: CrisisBench: Benchmarking Crisis-related Social Media Datasets for Humanitarian Information Processing. In Proceedings of the 15th International AAAI Conference on Web and Social Media (ICWSM), 2021. (arXiv)
• Firoj Alam, Umair Qazi, Muhammad Imran, Ferda Ofli: HumAID: Human-Annotated Disaster Incidents Data from Twitter with Deep Learning Benchmarks. In Proceedings of the 15th International AAAI Conference on Web and Social Media (ICWSM), 2021. (arXiv)
• Loris Belcastro, Fabrizio Marozzo, Domenico Talia, Paolo Trunfio, Francesco Branda, Themis Palpanas, Muhammad Imran, Using Social Media for Sub-Event Detection during Disasters. In the Journal of Big Data, 2021. DOI: https://doi.org/10.1186/s40537-021-00467-1 (Impact Factor: 2.50, Springer)
• Zainab Akhtar, Ferda Ofli, Muhammad Imran: Towards Using Remote Sensing and Social Media Data for Flood Mapping. In Proceedings of the 18th International Conference on Information Systems for Crisis Response and Management (ISCRAM), Virginia, USA, 2021.
• Ethan Weber, Nuria Marzo, Dim P. Papadopoulos, Aritro Biswas, Agata Lapedriza, Ferda Ofli, Muhammad Imran, Antonio Torralba. Detecting Natural Disasters, Damage, and Incidents in the Wild. In Proceedings of the 16th European Conference on Computer Vision (ECCV), 2020.
• Firoj Alam, Ferda Ofli, Muhammad Imran, Tanvirul Alam, Umair Qazi. Deep Learning Benchmarks and Datasets for Social Media Image Classification for Disaster Response. In Proceedings of the IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM), 2020.
• Reem Suwaileh, Muhammad Imran, Tamer Elsayed, Hassan Sajjad. Are We Ready for this Disaster? Towards Location Mention Recognition from Crisis Tweets. In Proceedings of the 28th International Conference on Computational Linguistics (COLING), 2020 (virtual).
• (Book chapter) Ferda Ofli, Muhammad Imran, Firoj Alam. Using Artificial Intelligence and Social Media for Disaster Response and Management: An Overview. In AI and Robotics in Disaster Studies book. Part of the Disaster Research and Management Series on the Global South. Palgrave Macmillan, Singapore. Edited by: T. V. Vijay KumarKeshav Sud, October, 2020.
• Umair Qazi, Muhammad Imran, Ferda Ofli. GeoCoV19: A Dataset of Hundreds of Millions of Multilingual COVID-19 Tweets with Location Information. ACM SIGSPATIAL Special, May, 2020. (acm | arXiv)
  GeoCoV19 Dataset: @CrisisNLP | @Zenodo | @IEEE DataPort
  COVID-19 Twitter Trends Service: https://covid19-trends.qcri.org/
• Muhammad Imran, Ferda Ofli, Doina Caragea, Antonio Torralba. Using AI and Social Media Multimodal Content for Disaster Response and Management: Opportunities, Challenges, and Future Directions. In the Information Processing and Management (IPM) journal, 2020.
• [Best Paper Award] Muhammad Imran, Firoj Alam, Umair Qazi, Steve Peterson, and Ferda Ofli. Rapid Damage Assessment Using Social Media Images by Combining Human and Machine Intelligence. In Proceedings of the 17th International Conference on Information Systems for Crisis Response and Management (ISCRAM), Virginia, USA, 2020. (arXiv)
• Ferda Ofli, Firoj Alam, Muhammad Imran. Analysis of Social Media Data using Multimodal Deep Learning for Disaster Response. In Proceedings of the 17th International Conference on Information Systems for Crisis Response and Management (ISCRAM), Virginia, USA, 2020. (arXiv)
• Pakhee Kumar, Ferda Ofli, Muhammad Imran, Carlos Castillo. Detection of Disaster-Affected Cultural Heritage Sites from Social Media Images Using Deep Learning Techniques. In the ACM Journal on Computing and Cultural Heritage (JOCCH), 2020.
• Firoj Alam, Hassan Sajjad, Muhammad Imran, Ferda Ofli. Standardizing and Benchmarking Crisis-related Social Media Datasets for Humanitarian Information Processing. arXiv preprint, April, 2020.
• Starr Roxanne Hiltz, Amanda Hughes, Muhammad Imran, Linda Plotnick, Robert Power, Murray Turoff. Exploring the Usefulness and Feasibility of Software Requirements for Social Media Use in Emergency Management. In the International Journal of Disaster Risk Reduction (IJDRR), 2019. (link)
• Kiran Zahra, Muhammad Imran, Frank Ostermann. Automatic Identification of Eyewitness Messages on Twitter During Disasters. In the Journal of Information Processing and Management (IP&M), 2020. (link | dataset)
• Koustav Rudra, Pawan Goyal, Niloy Ganguly, Muhammad Imran, and Prasenjit Mitra. Summarizing Situational Tweets in Crisis Scenarios: An Extractive-Abstractive Approach. In IEEE Transactions on Computational Social Systems Journal (IEEE TCSS), 2019. (link)
• Xukun Li, Huaiyu Zhang, Doina Caragea, Muhammad Imran. Localizing and Quantifying Infrastructure Damage Using Class Activation Mapping Approaches. In the Journal of Social Network Analysis and Mining (SNAM), 2019.
• Christian Reuter, Stefan Stieglitz, Muhammad Imran. Social Media in Conflicts and Crises. In the Journal of Behaviour & Information Technology (Taylor & Francies), 2019. DOI: 10.1080/0144929X.2019.1629025. (link)
• Firoj Alam, Ferda Ofli, Muhammad Imran. Descriptive and Visual Summaries of Disaster Events using Artificial Intelligence Techniques: Case Studies of Hurricanes Harvey, Irma, and Maria. In the Journal of Behaviour & Information Technology (Taylor & Francies), 2019. DOI: 10.1080/0144929X.2019.1610908. (link)
• Reza Mazloom, Hongmin Li, Doina Caragea, Cornelia Caragea, Muhammad Imran. A Hybrid Domain Adaptation Approach for Identifying Crisis-Relevant Tweets.In the International Journal of Information Systems for Crisis Response and Management (IJISCRAM), volume 11, issue 2, 2019. DOI: 10.4018/IJISCRAM.2019070101. ISSN: 1937-9390. (link)
• [Best Insight Paper Award] – Xukun Li, Doina Caragea, Cornelia Caragea, Muhammad Imran, Ferda Ofli. Identifying Disaster Damage Images Using a Domain Adaptation Approach. In Proceedings of the 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM), 2019, Valencia, Spain.
• [Best Paper Runner-up Award] – Firoj Alam, Muhammad Imran, Ferda Ofli.CrisisDPS: Crisis Data Processing Services. In Proceedings of the 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM), 2019, Valencia, Spain.
• Starr Roxanne Hiltz, Amanda Lee Hughes, Muhammad Imran, Linda Plotnick, Robert Power, and Murray Turoff. Requirements for Software to Support the use of Social Media in Emergency Management: A Delphi Study. In Proceedings of the 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM), 2019, Valencia, Spain.
• [Book chapter] Muhammad Imran, Firoj Alam, Ferda Ofli, Michael Aupetit. Mitigating the Impact of Extreme Natural Events in Developing Countries. Edited by: R.J. Durrheim and B.G.N. Sewwandi, Daya Publishing House, ISBN: 9789388982160.
• Humaira Waqas, Muhammad Imran. #CampFireMissing: An Analysis of Tweets About Missing and Found People from California Wildfires. In Proceedings of the 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM), 2019, Valencia, Spain. (dataset)
• Firoj Alam, Shafiq Joty, Muhammad Imran. Domain Adaptation with Adversarial Training and Graph Embeddings. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL), 2018, Melbourne, Australia. (preprint)
• Koustav Rudra, Niloy Ganguly, Pawan Goyal, Prasenjit Mitra, Muhammad Imran. Identifying Sub-events and Summarizing Information from Microblogs during Disasters. In Proceedings of the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2018, Michigan, USA. (ACM | dataset | code)
• Firoj Alam, Ferda Ofli and Muhammad Imran. CrisisMMD: Multimodal Twitter Datasets from Natural Disasters. Accepted for publication at the International AAAI Conference on Web and Social Media (ICWSM), 2018, Stanford, California, USA. (Dataset).
• Himanshu Zade, Kushal Shah, Vaibhavi Rangarajann, Priyanka Kshirsagar, Muhammad Imran, Kate Starbird: From Situational Awareness to Actionability: Towards Improving the Utility of Social Media Data for Crisis Response. In Proceedings of the 21st ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW), 2018, New York, USA.
• Firoj Alam, Ferda Ofli, Muhammad Imran. Processing Social Media Images by Combining Human and Machine Computing During Crises. In the International Journal of Human-Computer Interaction (IJHCI), 2018. (Taylor & Francies Online | DOI)
• Hemant Purohit, Carlos Castillo, Muhammad Imran, and Rahul Pandey: Social-EOC: Serviceability Model to Rank Social Media Requests for Emergency Operation Centers. In Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Barcelona, August 2018.
• Hemant Purohit, Carlos Castillo, Muhammad Imran, and Rahul Pandey: Ranking of Social Media Alerts with Workload Bounds in Emergency Operation Centers.To appear in ACM/IEEE Web Intelligence, Santiago, Chile, December 2018.
• Xukun Li, Huaiyu Zhang, Doina Caragea, Muhammad Imran: Localizing and Quantifying Damage in Social Media Images.In Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Barcelona, August 2018. (arXiv)
• Muhammad Imran, Carlos Castillo, Fernando Diaz, Sarah Vieweg. Processing Social Media Messages in Mass Emergency: Survey Summary. In Proceedings of the Web Conference (WWW), April 2018, Lyon, France. (acm | slides)
• Firoj Alam, Shafiq Joty, Muhammad Imran. Graph Based Semi-supervised Learning with Convolutional Neural Networks to Classify Crisis Related Tweets. Accepted for publication at the International AAAI Conference on Web and Social Media (ICWSM), 2018, Stanford, California, USA. (arxiv preprint).
• Firoj Alam, Ferda Ofli, Muhammad Imran, Michael Aupetit. A Twitter Tale of Three Hurricanes: Harvey, Irma, and Maria. In Proceedings of the 15th International Conference on Information Systems for Crisis Response and Management (ISCRAM), May 2018, Rochester NY, USA. (arxiv preprint | Dataset).
• Reza Mazloom, HongMin Li, Doina Caragea, Muhammad Imran, Cornelia Caragea.Classification of Twitter Disaster Data Using a Hybrid Feature-Instance Adaptation Approach. In Proceedings of the 15th International Conference on Information Systems for Crisis Response and Management (ISCRAM), May 2018, Rochester NY, USA.
• Kiran Zahra, Muhammad Imran, Frank O. Ostermann. Understanding Eyewitness Reports on Twitter during Disasters. In Proceedings of the 15th International Conference on Information Systems for Crisis Response and Management (ISCRAM), May 2018, Rochester NY, USA.
• Luis Fernandez-Luque, Muhammad Imran. Humanitarian Health Computing using Artificial Intelligence and Social Media: A Narrative Literature Review. In the International Journal of Medical Informatics (IJMI), 2018.
• Nazia Attari, Ferda Ofli, Muhammad Awad, Ji Lucas, Sanjay Chawla.  Nazr-CNN: Fine-Grained Classification of UAV Imagery for Damage Assessment. In Proceedings of the IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2017, Tokyo, Japan.

• Firoj Alam, Muhammad Imran, Ferda Ofli. Image4Act: Online Social Media Image Processing for Disaster Response. In Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2017, Sydney, Australia.
• Dat Tien Nguyen, Ferda Ofli, Muhammad Imran, Prasenjit Mitra. Damage Assessment from Social Media Imagery Data During Disasters. In Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2017, Sydney, Australia.
• Firoj Alam, Muhammad Imran, Ferda Ofli. Online Social Media Image Processing Using AIDR 2.0: Artificial Intelligence for Digital Response. Demoed at the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, Honolulu, Hawaii.
• Dat Tien Nguyen, Kamela Ali Al Mannai, Shafiq Joty, Hassan Sajjad, Muhammad Imran, Prasenjit Mitra. Robust Classification of Crisis-Related Data on Social Networks using Convolutional Neural Networks. In Proceedings of the 11th International AAAI Conference on Web and Social Media (ICWSM), 2017, Montreal, Canada.
• Koustav Rudra, Ashish Sharma, Niloy Ganguly, Muhammad Imran. Classifying Information from Microblogs During Epidemics. Accepted for publication at ACM Digital Health (DH) Conference, 2017, London, United Kingdom.
• [BEST PAPER AWARD RUNNER-UP] – Dat Tien Nguyen, Firoj Alam, Ferda Ofli, Muhammad Imran. Automatic Image Filtering on Social Networks Using Deep Learning and Perceptual Hashing During Crises. In Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management (ISCRAM), 2017 Albi, France. (Slides)
• Michael Aupetit, Muhammad Imran. Interactive Monitoring of Critical Situational Information on Social Media. In Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management (ISCRAM), 2017 Albi, France.
• Muhammad Imran, Prasenjit Mitra, Jaideep Srivastava. Enabling Rapid Classification of Social Media Communications During Crises. In the International Journal of Information Systems for Crisis Response and Management, 2017. DOI: 10.4018/IJISCRAM.2016070101.
• Zoha Sheikh, Hira Masood, Sharifullah Khan, Muhammad Imran. User-Assisted Information Extraction from Twitter During Emergencies. In Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management (ISCRAM), 2017 Albi, France.
• Muhammad Imran, Sanjay Chawla, Carlos Castillo. A Robust Framework for Classifying Evolving Document Streams in an Expert-Machine-Crowd Setting.In Proceedings of the 18th International Conference on Data Mining (ICDM), December 2016, Barcelona, Spain. (slides|arXiv)
• Koustav Rudra, Siddhartha Banerjee, Niloy Ganguly, Pawan Goyal, Muhammad Imran, and Prasenjit Mitra. Summarizing Situational and Topical Information During Crises. Accepted for publication at the 4th international workshop on Social Web for Disaster Management (SWDM), co-located with CIKM, October 2016, Indianapolis, USA.
• Dat Tien Nguyen, Kamela Ali Al Mannai, Shafiq Joty, Hassan Sajjad, Muhammad Imran, Prasenjit Mitra. Rapid Classification of Crisis-Related Data on Social Networks using Convolutional Neural Networks. arXiv:1608.03902, 2016. (arXiv)
• [BEST PAPER AWARD] – Muhammad Imran, Prasenjit Mitra, Jaideep Srivastava.Cross-Language Domain Adaptation for Classifying Crisis-Related Short Messages. In Proceedings of the 13th International Conference on Information Systems for Crisis Response and Management (ISCRAM), 2016, Rio de Janeiro, Brazil.
• Dat Tien Nguyen, Shafiq Joty, Muhammad Imran, Hassan Sajjad, Prasenjit Mitra.Applications of Online Deep Learning for Crisis Response Using Social Media Information. Accepted at the 4th international workshop on Social Web for Disaster Management (SWDM), co-located with CIKM, October 2016, Indianapolis, USA. (arXiv)
• Koustav Rudra, Siddhartha Banerjee, Niloy Ganguly, Pawan Goyal, Muhammad Imran, and Prasenjit Mitra. Summarizing Situational Tweets in Crisis Scenario. In Proceedings of the 27th ACM Conference on Hypertext and Social Media (HT), July 2016, Halifax, Canada. (slides)
• Muhammad Imran, Prasenjit Mitra, Carlos Castillo. Twitter as a Lifeline: Human-annotated Twitter Corpora for NLP of Crisis-related Messages. In Proceedings of the 10th Language Resources and Evaluation Conference (LREC), 2016, Slovenia.(Datasets)
• Muhammad Imran, Patrick Meier, Carlos Castillo, Andre Lesa, and Manuel Garcia Herranz. Enabling Digital Health by Automatic Classification of Short Messages. In Proceedings of the 6th ACM International Conference on Digital Health (DH), 2016, Montreal, Canada. (Featured in New Scientist | ACM | arXiv)
• Ferda Ofli, Patrick Meier, Muhammad Imran, Carlos Castillo, Devis Tuia, Nicolas Rey, Julien Briant, Pauline Millet, Friedrich Reinhard, Matthew Parkan, and Stephane Joost. Combining Human Computing and Machine Learning to Make Sense of Big (Aerial) Data for Disaster Response. Big Data Journal, March 2016. (Liebert)
• [Book Chapter] Carlos Castillo, Muhammad Imran, Patrick Meier, Ji Kim Lucas, Jaideep Srivastava, Heather Leson, Ferda Ofli, Prasenjit Mitra, et al. Together We Stand—Supporting Decision in Crisis Response: Artificial Intelligence for Digital Response and MicroMappers. Edited by OCHA and partners. Published by: Tudor Rose, World Humanitarian Summit, Istanbul, pp. 93-95, ISBN: 978-0-9568561-8-0, May 2016.
• Muhammad Imran, Carlos Castillo, Fernando Diaz, Sarah Vieweg: Processing Social Media Messages in Mass Emergency: A Survey. ACM Computing Surveys. 47, 4, Article 67 (June 2015), 38 pages. DOI=10.1145/2771588 http://doi.acm.org/10.1145/2771588
• Muhammad Imran, Ioanna Lykourentzou, Yannick Naudet, and Carlos Castillo.Engineering Crowdsourced Stream Processing Systems. Preprint, arXiv:1310.5463.
• Muhammad Imran and Carlos Castillo. Towards a Data-driven Approach to Identify Crisis-Related Topics in Social Media Streams. Social Web for Disaster Management(SWDM) – Co-located with WWW, 2015, Florence, Italy. (slides)
• Soudip Roy Chowdhury, Hemant Purohit, and Muhammad Imran. D-Sieve: A Novel Data Processing Engine for Efficient Handling of Crises-Related Social Messages. Social Web for Disaster Management (SWDM) – Co-located with WWW, 2015, Florence, Italy. (slides)
• Muhammad Imran, Carlos Castillo, Ji Lucas, Patrick Meier, and Sarah Vieweg. AIDR: Artificial Intelligence for Disaster Response. In Proc. of the 23rd International Conference on World Wide Web (WWW) Companion, 2014. Seoul, Korea.
• Muhammad Imran, Carlos Castillo, Ji Lucas, Patrick Meier, and Jakob Rogstadius.Coordinating Human and Machine Intelligence to Classify Microblog Communications in Crises. In Proc. of the 11th International Conference on Information Systems for Crisis Response and Management (ISCRAM), 2014. Pennsylvania, USA.
• Sarah Vieweg, Carlos Castillo, and Muhammad Imran: Integrating Social Media Communications into the Rapid Assessment of Sudden Onset Disasters. In Proc. of The 6th International Conference on Social Informatics (SocInfo), 2014, Barcelona, Spain.
• [BEST PAPER AWARD] – Muhammad Imran, Shady Elbassuoni, Carlos Castillo, Fernando Diaz, and Patrick Meier. Extracting Information Nuggets from Disaster-Related Messages in Social Media. In Proc. of the 10th International Conference on Information Systems for Crisis Response and Management (ISCRAM), May 2013, Baden-Baden, Germany. (Datasets)
• Muhammad Imran, Shady Elbassuoni, Carlos Castillo, Fernando Diaz, and Patrick Meier.Practical Extraction of Disaster-Relevant Information from Social Media. In Social Web for Disaster Management (SWDM’13) – Co-located with WWW, May 2013, Rio de Janeiro, Brazil. (Datasets) | ACM)
• Soudip Roy Chowdhury, Muhammad Imran, Muhammad Rizwan Asghar, Sihem Amer-Yahia and Carlos Castillo. Tweet4act: Using Incident-Specific Profiles for Classifying Crisis-Related Messages. In Proc. of the 10th International Conference on Information Systems for Crisis Response and Management (ISCRAM), May 2013, Baden-Baden, Germany.