محمد عمران | جامعة حمد بن خليفة
Hamad Bin Khalifa University

أعضاء هيئة التدريس

محمد عمران

د. محمد عمران


عالم أول
الحوسبة الاجتماعية
معهد قطر لبحوث الحوسبة

  • الهاتف+974 55927185
  • موقع المكتب1182E, 1st, B1

السيرة الذاتية

Dr. Muhammad Imran is a Senior Scientist and Lead of the Crisis Computing team at Qatar Computing Research Institute. Dr. Imran received his Ph.D. in computer science from the University of Trento in 2013. He then worked as a Research Scientist at QCRI from 2015-2020. 

Dr. Imran has published over 80 research papers in top-tier international conferences and journals, including ACL, SIGIR, ICDM, ICWSM, and WWW. Four of his papers received the "Best Paper Award" and two "Best Paper Runner-up Award." He has been serving as a co-chair of the Social Media Studies track of the ISCRAM international conference since 2014 and has served as Program Committee for many major conferences and workshops.
 

 


الاهتمامات البحثية

Dr. Muhammed Imran’s interdisciplinary research focuses on natural language processing, social computing, computer vision, and applied machine learning. He specifically develops AI models and systems for processing big data from non-traditional data sources such as social media for social good applications. Currently, he focuses on time-critical data mining during emergency events such as natural disasters to collect, classify, extract, and summarize helpful information for humanitarian aid.

الخبرات

Senior Scientist

Qatar Computing Research Institute

Apr 2021 - Present
  • Scientist

    Qatar Computing Research Institute

    Dec 2014 - Apr 2021
  • Postdoc

    Qatar Computing Research Institute

    Apr 2013 - Dec 2014
  • Research Associate

    Qatar Computing Research Institute

    Jun 2012 - Sep 2012
  • Database Administrator & Developer

    National Uniersity of Science and Technology, Pakistan

    Jul 2007 - Aug 2008

المؤهلات العلمية

PhD in Computer Science

University of Trento; Trento, Italy

2013
  • MSc. Computer Science

    Mohammad Ali Jinnah University; Islamabad, Pakistan

    2007
  • BS Computer Science

    Allama Iqbal Open University; Islamabad, Pakistan

    2003

المؤلفات المختارة

  • Muhammad Imran, Carlos Castillo, Fernando Diaz, and Sarah Vieweg

    Processing Social Media Messages in Mass Emergency: A Survey; ACM Computing Surveys; https://dl.acm.org/citation.cfm?id=2771588

  • 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); https://www.tandfonline.com/doi/abs/10.1080/10447318.2018.1427831?journa...

  • 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); https://www.sciencedirect.com/science/article/pii/S1386505618300212

  • Koustav Rudra, Ashish Sharma, Niloy Ganguly, Muhammad Imran

    Classifying and Summarizing Information from Microblogs during Epidemics; Journal of Information Systems Frontiers; https://link.springer.com/article/10.1007/s10796-018-9844-9

  • Firoj Alam, Shafiq Joty, Muhammad Imran

    Domain Adaptation with Adversarial Training and Graph Embeddings; 56th Annual Meeting of the Association for Computational Linguistics (ACL); https://www.aclweb.org/anthology/P18-1099

  • Koustav Rudra, Niloy Ganguly, Pawan Goyal, Prasenjit Mitra, Muhammad Imran

    Identifying Sub-events and Summarizing Information during Disasters; 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), https://dl.acm.org/citation.cfm?id=3210030

  • 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; 21st ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW); https://dl.acm.org/citation.cfm?id=3274464

  • 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. DOI: https://doi.org/10.1016/j.ipm.2020.102261

  • 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.

  • 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. DOI: https://doi.org/10.1109/ASONAM49781.2020.9381294

  • 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. DOI: https://doi.org/10.18653/v1/2020.coling-main.550

  • 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. DOI: https://doi.org/10.1007/978-3-030-58529-7_20

  • 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. DOI: https://doi.org/10.1145/3404111.3404114

  • 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. DOI: https://arxiv.org/abs/2004.06675

  • 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. DOI: https://doi.org/10.1016/j.ipm.2019.102107

  • 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. DOI: https://doi.org/10.1109/TCSS.2019.2937899