Publications

Below I maintain a complete list of my publications (peer-reviewed as well as pre-prints) and talks. Online scholarly profiles:
Google Scholar | DBLP | ResearchGate | Scopus | Semantic Scholar | ORCID

2022

• 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)

• 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.

• 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.

• 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.

Talks:

• (Guest lecture): Use of AI for Monitoring Attacks on Education, at Georgetown University in Qatar, August 30, 2022.

• (Keynote): Social Media for Emergency Response: From Research to Practice, at The 2nd Social Media for Disaster Risk Management: Researchers Meet Practitioners workshop organized by Joint Research Center (JRC), June 7, 2022. (Link)

• (Guest lecture): AI and Social Media for Social Good, , at The University of Sheffield, May 17, 2022.

• (Invited talk & panalist): Overview of the Two Billion Multilingual COVID-19 Tweets with Sentiment, Entity, Geo, and Gender Labels dataset, at The Middle East Conference, February 6, 2022. (YouTube recording)

• (Guest lecture): Mapping Education Insecurity using AI, at Georgetown University in Qatar, February 15, 2022.

2021

• 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. ISSN: 24113387, ISBN: 978-194937361-5 (Scopus)

• Ferda Ofli, Muhammad Imran, Umair Qazi, Julien Roch, Catherine Pennington, Vanessa J Banks, Remy Bossu: Landslide Detection in Real-Time Social Media Image Streams. Preprint on arXiv, Oct, 2021.

• Firoj Alam, Tanvirul Alam, Md Hasan, Abul Hasnat, Muhammad Imran, Ferda Ofli: MEDIC: A Multi-Task Learning Dataset for Disaster Image Classification. Preprint, under review, September, 2021. (arXiv)

Talks:

• (Invited talk): Extracting Information from Social Media for Crisis Response, at The United Nations Environment Programme event on the use of AI for disaster response, September 28, 2021.

• (Invited talk and panalist): The Role of AI and Collective Intelligence for Disaster Response, at Nesta UK event on Collective Crisis Intelligence for Frontline Humanitarian Action, September 15, 2021. (Event page).

• (Keynote): How AI is Transforming Disaster Response, at the International Symposium on IoT & ML for Ecosystem Restoration & Multi-hazard Resilience, June 2021. (Video recording on Youtube).

2020

• (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.

• 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 (virtual). (dataset | arXiv)

• 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).

• 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 (virtual). (code/dataset: http://incidentsdataset.csail.mit.edu/)

• 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/

• Leysia Palen, Jennings Anderson, Melissa Bica, Carlos Castillos, John Crowley, Paloma Díaz, Megan Finn, Rob Grace, Amanda Hughes, Muhammad Imran, Marina Kogan et al., Crisis Informatics: Human-Centered Research on Tech & Crises. A Guided Bibliography Developed by Crisis Informatics Researchers, 2020.

• 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), 2020. (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)

Talks:

• (Invited talk) Harnessing Social Media and Survey Text Mining for Covid-19 Socio-economic Impact Assessments and Disaster Response and Recovery: Some Evidence from Ecuador, Egypt, and Lebanon. With Donny El Costa at the UNDP-SEAI Webinar series, Nov 2020, (online).

• (Guest lecture) Using AI and Social Media for Education Insecurity Data Mining. At Georgetown University in Qatar. September, 2020 (online).

• (Invited talk) Computer Vision for Damage Assessment. World Food Program (WFP) computer vision for damage assessment workshop, Nov 2020, (online).

• (Invited talk) Artificial Intelligence for Disaster Response. At Istanbul Technical University, Turkey, August, 2020 (online).

• (Webinar) AI and Social Media for Social Good. Webinar series organized by Re.Work about AI for Good, June, 2020.
  Webinar video: https://www.youtube.com/watch?v=L0Ceu-WRbIU

2019

• 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)

• Muhammad Imran, Ferda Ofli, Firoj Alam, Umair Qazi. Using Artificial Intelligence and Social Media Multimodal Data for Humanitarian Aid. Social Informatics for Social Good workshop at SocInfo, 2019, Doha, Qatar. (SISG2019)

Talks:

• (Inivted talk) Artificial Intelligence for Disaster Response, at the US Chamber Foundation, 2019, Washington DC, USA.

• (Inivted talk) AI and Social Media for Social Good, at IBM Research Lab Zurich, 2019, Zurich, Switzerland.

• (Inivted talk) AI and Social Media for Social Good, at the University of Zurich, 2019, Zurich, Switzerland.

• (Inivted talk) Artificial Intelligence for Disaster Response, at CIEM (Centre for Integrated Emergency Management) at the University of Agder, 2019, Kristiansand, Norway.

• (Inivted talk) Time-Critical Analysis of Multimodal Social Media Data for Disaster Response, at CAIR (Artificial Intelligence Research Centre), 2019, Kristiansand, Norway.

2018

• 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 Disaster-Related Information from Microblogs. In Proceedings of the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2018, Michigan, USA. (acm | dataset | code)

• 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. In Proceedings of 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)

• 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. (ScienceDirect | DOI)

• Koustav Rudra, Ashish Sharma, Niloy Ganguly, Muhammad Imran. Classifying and Summarizing Information from Microblogs during Epidemics. In the Journal of Information Systems Frontiers, Springer, 2018. ( link)

• 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)

• Saptarshi Ghosh, Kripabandhu Ghosh, Debasis Ganguly, Tanmoy Chakraborty, Gareth J. F. Jones, Marie-Francine Moens, and Muhammad Imran. Exploitation of Social Media for Emergency Relief and Preparedness: Recent Research and Trends. In the Journal of Information Systems Frontiers, Springer, 2018.

• Firoj Alam, Shafiq Joty, Muhammad Imran. Graph Based Semi-supervised Learning with Convolution Neural Networks to Classify Crisis Related Tweets. In Proceedings of the International AAAI Conference on Web and Social Media (ICWSM), 2018, Stanford, California, USA. (arxiv preprint)

• Firoj Alam, Ferda Ofli and Muhammad Imran. CrisisMMD: Multimodal Twitter Datasets from Natural Disasters. In Proceedings of the International AAAI Conference on Web and Social Media (ICWSM), 2018, Stanford, California, USA. (Dataset)

• 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.

• Christian Reuter, Amanda Hughes, Starr Roxanne Hiltz, Muhammad Imran, Linda Plotnick. Editorial of the Special Issue on Social Media in Crisis Management. In the International Journal of Human-Computer Interaction (IJHCI), 2018. (Taylor & Francies Online | DOI)

• Muhammad Imran, Firoj Alam, Ferda Ofli, Michael Aupetit Artificial Intelligence and Social Media to Aid Disaster Response and Management. In Proceedings of the Qatar Foundation Annual Research Conference, 2018, Doha, Qatar.

Talks:

• (Inivted talk) AI and Social Media for Disaster Respones and Associated Challenges. Invited talk at the University of Chile, December 2018, Santiago, Chile.

• (Inivted talk) Artificial Intelligence for Mining Attacks on Education Data on Social Media Invited talk at Doha Forum, December 2018, Doha, Qatar.

2017

• [Book Chapter] Muhammad Imran, Patrick Meier, Kees Boersma. Big Data Surveillance and Crisis Management. Edited by: Kees Boersma and Chiara Fonio, Published by: Routledge, ISBN: 978-1-138-19543-1, 2017.

• 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.

• Muhammad Imran, Firoj Alam, Ferda Ofli, Michael Aupetit. Enabling Rapid Disaster Response Using Artificial Intelligence and Social Media. International Roundtable on the Impacts of Extreme Natural Events: Science and Technology for Mitigation (IRENE) workshop, December 2017, Colombo, Sri Lanka.

• 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. In Proceedings of the ACM Digital Health (DH) Conference, 2017, London, United Kingdom.

• [Best Paper Runner-up Award] - 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. (link)

• 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.

Talks:

• (Keynote) Time-Critical Analysis of Evolving Social Media Streams During Sudden-Onset Events. Keynote talk at the Exploitation of Social Media for Emergency Relief and Preparedness (SMERP) workshop, co-located with the 39th European Conference on Information Retrieval (ECIR), 2017, Aberdeen, Scotland UK.

• (Inivted talk) Enabling Rapid Disaster Response Using Artificial Intelligence and Social Media. Invited talk at the Impacts of Extreme Natural Events: Science and Technology for Mitigation (IRENE), December 2017, Colombo, Sri Lanka.

• (Tutorial) Real-Time Processing of Social Media Content for Social Good. Tutorial at the Data Science workshop organized by the Higher Education Commission (HEC), 2017, Islamabad, Pakistan.

2016

• 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. In 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.

Talks:

• (Keynote) The Role of Social Media and Artificial Intelligence for Disaster Response. Keynote talk at the 13th International Conference on Information Systems for Crisis Response and Management (ISCRAM), 2016, Rio de Janeiro, Brazil.

• (Invited talk) Real-Time Analysis of Social media For Disaster Response. Invited talk at the European Commission Joint Research Centre (EU-JRC), 2016, Ispra, Italy.

• (Invited talk) Social Computing: A Lifeline During Mass Convergence Events Invited talk delivered at the 1st International Conference on Innovative Computing, organized by UMT, 2016, Lahore, Pakistan.

2015

• 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. (acm | arXiv)

• 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)

Talks:

• (Invited talk) Artificial Intelligence for Disaster Response Invited talk at The United Nations Educational, Scientific and Cultural Organization (UNESCO), Geneva, 2015, Switzerland.

• (Invited talk) Introduction to Machine Learning: An Application to Disaster Response Inited talk delivered at Qatar Science and Technology Park (QSTP), 2015, Doha, Qatar.

2014

• Muhammad Imran, Carlos Castillo, Ji Lucas, Patrick Meier, and Sarah Vieweg. AIDR: Artificial Intelligence for Disaster Response. In Proceedings 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 Proceedings 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 Proceedings of The 6th International Conference on Social Informatics (SocInfo), 2014, Barcelona, Spain.

• Muhammad Moeen Uddin, Muhammad Imran, Hassan Sajjad. Understanding Types of Users on Twitter. In SocialCom Stanford Conference 2014, CA, USA.

• Muhammad Imran and Carlos Castillo. Volunteer-powered Automatic Classification of Social Media Messages for Public Health in AIDR. Public Health in the Digital Age workshop - Co-located with WWW, 2014, Seoul, Korea.

2013

• [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 Proceedings 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 Proceedings of the 10th International Conference on Information Systems for Crisis Response and Management (ISCRAM), May 2013, Baden-Baden, Germany.

• Muhammad Imran, Syed Zeeshan Haider Gillani and Maurizio Marchese. A Real-time Heuristic-based Unsupervised Method for Name Disambiguation in Digital Libraries. In the 2nd International Workshop on Mining Scientific Publications, July 2013, Indianapolis, USA.

• Muhammad Imran. An Effective End-user Development Approach Through Domain-specific Mashups for Research Impact Evaluation. PhD dissertation, March 2013, University of Trento, Italy

2012

• Muhammad Imran, Stefano Soi, Felix Kling, Florian Daniel, Fabio Casati and Maurizio Marchese. On the Systematic Development of Domain-Specific Mashup Tools for End-Users. In Proceedings of the 12th International Conference on Web Engineering (ICWE), July 2012, Pages 291-298, Berlin, Germany.

• Florian Daniel, Muhammad Imran, Stefano Soi, Antonella De Angeli, Christopher R. Wilkinson, Fabio Casati and Maurizio Marchese. Developing Mashup Tools for End-Users: On the Importance of the Application Domain. International Journal of Next-Generation Computing (IJNGC), 2012.

• Muhammad Imran, Florian Daniel, Fabio Casati, Maurizio Marchese. ResEval Mash: A Mashup Tool that Speaks the Language of the User. ACM CHI Conference on Human Factors in Computing Systems (CHI), Austin, USA.

• Florian Daniel, Muhammad Imran, Felix Kling, Stefano Soi, Fabio Casati and Maurizio Marchese. Developing Domain-Specific Mashup Tools for End Users. In Proceedings of the 21th International Conference on World Wide Web (WWW) Companion, 2012, France, Lyon.

• Muhammad Imran, Felix Kling, Stefano Soi, Florian Daniel, Fabio Casati and Maurizio Marchese. ResEval Mash: A Mashup Tool for Advanced Research Evaluation. In Proceedings of the 21th International Conference on World Wide Web (WWW) Companion, 2012, France, Lyon.

2011

• Muhammad Imran, Maurizio Marchese, Fabio Casati. Leveraging Mashups Approaches to Address Research Evaluation Challenges. In International Multitopic Conference (INMIC), 2011, pp.17-22.

• Cristhian Parra, Muhammad Imran, Daniil Mirylenka, Florian Daniel, Fabio Casati, and Maurizio Marchese. A Scientific Resource Space for Advanced Research Evaluation Scenarios. In Proceedings of the 19th Italian Symposium on Advanced Database (SEBD), 2011, Springer.

• [Book Chapter] Search Computing, Trends and Development (Lecture Notes in Computer Science / Information Systems and Applications, incl. Internet/Web, and HCI). Stefano Ceri, Marco Brambilla (Editor). 2011, Springer. ISBN: 978-3642196676. [Springer]

• M. Baez, A. Birukou, I. Brito, F. Casati, R. Chenu, M. Imran, J.J. Jara, J. Madrenas Ciurana, M. Marchese, A. Mussi, C. Parra, M. Passamani, A. Ragone, J. R. Wakeling. Design of the Liquid Publications Integrated Platform. Liquidpub, 2011.

2010

• Muhammad Imran, Florian Daniel, Fabio Casati, Maurizio Marchese. A Mashup Platform for Research Evaluation. In Proceedings of the ECSS 2010, 2010, Prague, Czech Republic.

• Alessandro Bozzon, Marco Brambilla, Muhammad Imran, Florian Daniel, Fabio Casati. On Development Practices for End Users. New Trends in Search Computing, May 2010, Springer.

• Junaid Ahsenali Chaudhry, Muhammad Imran. Autonomic Fault Identification for Ubiquitous Self Healing Systems. Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing, 2010, IEEE.

• Muhammad Imran, Marchese Maurizio, Ragone Azzurra, Birukou Aliaksandr, Casati Fabio and Jara Laconich Juan Jose. ResEval: An Open and Resource-oriented Research Impact Evaluation tool. UNITN, eprints.biblio.unitn.it, Feb. 2010.