Muhammad Imran

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 103

Top Venues

University of Trento, Italy (PHD)

Education History

University of Trento, Italy

PHD

Publications

Firoj Alam, Tanvirul Alam, Ferda Ofli, Muhammad Imran
Robust Training of Social Media Image Classification Models. IEEE Trans. Comput. Soc. Syst. 11 (1) (2024)
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. AAAI (2024)
Abdul Wahab Ziaullah, Ferda Ofli, Muhammad Imran
Monitoring Critical Infrastructure Facilities During Disasters Using Large Language Models. CoRR (2024)
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. WWW (2023)
Reem Suwaileh, Muhammad Imran, Tamer Elsayed
IDRISI-RA: The First Arabic Location Mention Recognition Dataset of Disaster Tweets. ACL (1) (2023)
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. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Fevziye Irem Eyiokur, Alperen Kantarci, Mustafa Ekrem Erakin, Naser Damer, Ferda Ofli, Muhammad Imran, Janez Krizaj, Albert Ali Salah, Alexander Waibel, Vitomir Struc, Hazim Kemal Ekenel
A survey on computer vision based human analysis in the COVID-19 era. Image Vis. Comput. 130 (2023)
Ferda Ofli, Muhammad Imran, Umair Qazi, Julien Roch, Catherine Pennington, Vanessa J. Banks, Rémy Bossu
Landslide detection in real-time social media image streams. Neural Comput. Appl. 35 (24) (2023)
Firoj Alam, Tanvirul Alam, Md. Arid Hasan, Abul Hasnat, Muhammad Imran, Ferda Ofli
MEDIC: a multi-task learning dataset for disaster image classification. Neural Comput. Appl. 35 (3) (2023)
Irfan Ullah, Sharifullah Khan, Muhammad Imran, Young-Koo Lee
RweetMiner: Automatic identification and categorization of help requests on twitter during disasters. CoRR (2023)
Reem Suwaileh, Tamer Elsayed, Muhammad Imran
IDRISI-D: Arabic and English Datasets and Benchmarks for Location Mention Disambiguation over Disaster Microblogs. ArabicNLP (2023)
Reem Suwaileh, Tamer Elsayed, Muhammad Imran
IDRISI-RE: A generalizable dataset with benchmarks for location mention recognition on disaster tweets. Inf. Process. Manag. 60 (3) (2023)
Ferda Ofli, Umair Qazi, Muhammad Imran, Julien Roch, Catherine Pennington, Vanessa J. Banks, Rémy Bossu
A Real-Time System for Detecting Landslide Reports on Social Media Using Artificial Intelligence. ICWE (2022)
Alperen Kantarci, Ferda Ofli, Muhammad Imran, Hazim Kemal Ekenel
Bias-Aware Face Mask Detection Dataset. CoRR (2022)
Muhammad Imran, Umair Qazi, Ferda Ofli
TBCOV: Two Billion Multilingual COVID-19 Tweets with Sentiment, Entity, Geo, and Gender Labels. Data 7 (1) (2022)
Ferda Ofli, Umair Qazi, Muhammad Imran, Julien Roch, Catherine Pennington, Vanessa J. Banks, Rémy Bossu
A Real-time System for Detecting Landslide Reports on Social Media using Artificial Intelligence. CoRR (2022)
Nando Metzger, John E. Vargas-Muñoz, Rodrigo Caye Daudt, Benjamin Kellenberger, Thao Ton-That Whelan, Ferda Ofli, Muhammad Imran, Konrad Schindler, Devis Tuia
Fine-grained Population Mapping from Coarse Census Counts and Open Geodata. CoRR (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. CoRR (2022)
Fevziye Irem Eyiokur, Alperen Kantarci, Mustafa Ekrem Erakin, Naser Damer, Ferda Ofli, Muhammad Imran, Janez Krizaj, Albert Ali Salah, Alexander Waibel, Vitomir Struc, Hazim Kemal Ekenel
A Survey on Computer Vision based Human Analysis in the COVID-19 Era. CoRR (2022)
Seymanur Akti, Ferda Ofli, Muhammad Imran, Hazim Kemal Ekenel
Fight Detection from Still Images in the Wild. WACV (Workshops) (2022)
Muhammad Imran, Umair Qazi, Ferda Ofli, Steve Peterson, Firoj Alam
AI for Disaster Rapid Damage Assessment from Microblogs. AAAI (2022)
Ferda Ofli, Muhammad Imran, Umair Qazi, Julien Roch, Catherine Pennington, Vanessa J. Banks, Rémy Bossu
Landslide Detection in Real-Time Social Media Image Streams. CoRR (2021)
Firoj Alam, Tanvirul Alam, Md. Arid Hasan, Abul Hasnat, Muhammad Imran, Ferda Ofli
MEDIC: A Multi-Task Learning Dataset for Disaster Image Classification. CoRR (2021)
Zainab Akhtar, Ferda Ofli, Muhammad Imran
Towards Using Remote Sensing and Social Media Data for Flood Mapping. ISCRAM (2021)
Firoj Alam, Tanvirul Alam, Ferda Ofli, Muhammad Imran
Social Media Images Classification Models for Real-time Disaster Response. CoRR (2021)
Benjamin Kellenberger, John E. Vargas-Muñoz, Devis Tuia, Rodrigo Caye Daudt, Konrad Schindler, Thao T.-T. Whelan, Brenda Ayo, Ferda Ofli, Muhammad Imran
Mapping Vulnerable Populations with AI. CoRR (2021)
Seymanur Akti, Ferda Ofli, Muhammad Imran, Hazim Kemal Ekenel
Fight Detection from Still Images in the Wild. CoRR (2021)
Muhammad Imran, Umair Qazi, Ferda Ofli
TBCOV: Two Billion Multilingual COVID-19 Tweets with Sentiment, Entity, Geo, and Gender Labels. CoRR (2021)
Irfan Ullah, Sharifullah Khan, Muhammad Imran, Young-Koo Lee
RweetMiner: Automatic identification and categorization of help requests on twitter during disasters. Expert Syst. Appl. 176 (2021)
Firoj Alam, Umair Qazi, Muhammad Imran, Ferda Ofli
HumAID: Human-Annotated Disaster Incidents Data from Twitter with Deep Learning Benchmarks. CoRR (2021)
Firoj Alam, Umair Qazi, Muhammad Imran, Ferda Ofli
HumAID: Human-Annotated Disaster Incidents Data from Twitter with Deep Learning Benchmarks. ICWSM (2021)
Firoj Alam, Hassan Sajjad, Muhammad Imran, Ferda Ofli
CrisisBench: Benchmarking Crisis-related Social Media Datasets for Humanitarian Information Processing. ICWSM (2021)
Loris Belcastro, Fabrizio Marozzo, Domenico Talia, Paolo Trunfio, Francesco Branda, Themis Palpanas, Muhammad Imran
Using social media for sub-event detection during disasters. J. Big Data 8 (1) (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. Commun. ACM 64 (4) (2021)
Firoj Alam, Ferda Ofli, Muhammad Imran, Tanvirul Alam, Umair Qazi
Deep Learning Benchmarks and Datasets for Social Media Image Classification for Disaster Response. ASONAM (2020)
Muhammad Imran, Firoj Alam, Umair Qazi, Steve Peterson, Ferda Ofli
Rapid Damage Assessment Using Social Media Images by Combining Human and Machine Intelligence. ISCRAM (2020)
Ethan Weber, Nuria Marzo, Dim P. Papadopoulos, Aritro Biswas, Àgata Lapedriza, Ferda Ofli, Muhammad Imran, Antonio Torralba
Detecting Natural Disasters, Damage, and Incidents in the Wild. ECCV (19) (2020)
Firoj Alam, Hassan Sajjad, Muhammad Imran, Ferda Ofli
Standardizing and Benchmarking Crisis-related Social Media Datasets for Humanitarian Information Processing. CoRR (2020)
Ethan Weber, Nuria Marzo, Dim P. Papadopoulos, Aritro Biswas, Àgata Lapedriza, Ferda Ofli, Muhammad Imran, Antonio Torralba
Detecting natural disasters, damage, and incidents in the wild. CoRR (2020)
Ferda Ofli, Firoj Alam, Muhammad Imran
Analysis of Social Media Data using Multimodal Deep Learning for Disaster Response. ISCRAM (2020)
Ferda Ofli, Firoj Alam, Muhammad Imran
Analysis of Social Media Data using Multimodal Deep Learning for Disaster Response. CoRR (2020)
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. Behav. Inf. Technol. 39 (3) (2020)
Umair Qazi, Muhammad Imran, Ferda Ofli
GeoCoV19: A Dataset of Hundreds of Millions of Multilingual COVID-19 Tweets with Location Information. CoRR (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 12 (1) (2020)
Kiran Zahra, Muhammad Imran, Frank O. Ostermann
Automatic identification of eyewitness messages on twitter during disasters. Inf. Process. Manag. 57 (1) (2020)
Pakhee Kumar, Ferda Ofli, Muhammad Imran, Carlos Castillo
Detection of Disaster-Affected Cultural Heritage Sites from Social Media Images Using Deep Learning Techniques. ACM Journal on Computing and Cultural Heritage 13 (3) (2020)
Muhammad Imran, Firoj Alam, Umair Qazi, Steve Peterson, Ferda Ofli
Rapid Damage Assessment Using Social Media Images by Combining Human and Machine Intelligence. CoRR (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. Inf. Process. Manag. 57 (5) (2020)
Christian Reuter, Stefan Stieglitz, Muhammad Imran
Social media in conflicts and crises. Behav. Inf. Technol. 39 (3) (2020)
Reem Suwaileh, Muhammad Imran, Tamer Elsayed, Hassan Sajjad
Are We Ready for this Disaster? Towards Location Mention Recognition from Crisis Tweets. COLING (2020)
Firoj Alam, Ferda Ofli, Muhammad Imran, Tanvirul Alam, Umair Qazi
Deep Learning Benchmarks and Datasets for Social Media Image Classification for Disaster Response. CoRR (2020)
Humaira Waqas, Muhammad Imran
#CampFireMissing: An Analysis of Tweets About Missing and Found People From California Wildfires. ISCRAM (2019)
Koustav Rudra, Pawan Goyal, Niloy Ganguly, Muhammad Imran, Prasenjit Mitra
Summarizing Situational Tweets in Crisis Scenarios: An Extractive-Abstractive Approach. IEEE Trans. Comput. Soc. Syst. 6 (5) (2019)
Firoj Alam, Ferda Ofli, Muhammad Imran
CrisisDPS: Crisis Data Processing Services. ISCRAM (2019)
Xukun Li, Doina Caragea, Cornelia Caragea, Muhammad Imran, Ferda Ofli
Identifying Disaster Damage Images Using a Domain Adaptation Approach. ISCRAM (2019)
Xukun Li, Doina Caragea, Huaiyu Zhang, Muhammad Imran
Localizing and quantifying infrastructure damage using class activation mapping approaches. Soc. Netw. Anal. Min. 9 (1) (2019)
Reza Mazloom, Hongmin Li, Doina Caragea, Cornelia Caragea, Muhammad Imran
A Hybrid Domain Adaptation Approach for Identifying Crisis-Relevant Tweets. Int. J. Inf. Syst. Crisis Response Manag. 11 (2) (2019)
Starr Roxanne Hiltz, Amanda Lee Hughes, Muhammad Imran, Linda Plotnick, Robert Power, Murray Turoff
Requirements for Software to Support the use of Social Media in Emergency Management: A Delphi Study. ISCRAM (2019)
Luis Fernández-Luque, Muhammad Imran
Humanitarian health computing using artificial intelligence and social media: A narrative literature review. Int. J. Medical Informatics 114 (2018)
Himanshu Zade, Kushal Shah, Vaibhavi Rangarajan, Priyanka Kshirsagar, Muhammad Imran, Kate Starbird
From Situational Awareness to Actionability: Towards Improving the Utility of Social Media Data for Crisis Response. Proc. ACM Hum. Comput. Interact. 2 (CSCW) (2018)
Koustav Rudra, Ashish Sharma, Niloy Ganguly, Muhammad Imran
Classifying and Summarizing Information from Microblogs During Epidemics. Inf. Syst. Frontiers 20 (5) (2018)
Firoj Alam, Ferda Ofli, Muhammad Imran, Michaël Aupetit
A Twitter Tale of Three Hurricanes: Harvey, Irma, and Maria. ISCRAM (2018)
Muhammad Imran, Carlos Castillo, Fernando Diaz, Sarah Vieweg
Processing Social Media Messages in Mass Emergency: Survey Summary. WWW (Companion Volume) (2018)
Firoj Alam, Shafiq R. Joty, Muhammad Imran
Graph Based Semi-Supervised Learning with Convolution Neural Networks to Classify Crisis Related Tweets. ICWSM (2018)
Firoj Alam, Ferda Ofli, Muhammad Imran, Michaël Aupetit
A Twitter Tale of Three Hurricanes: Harvey, Irma, and Maria. CoRR (2018)
Firoj Alam, Ferda Ofli, Muhammad Imran
Processing Social Media Images by Combining Human and Machine Computing during Crises. Int. J. Hum. Comput. Interact. 34 (4) (2018)
Saptarshi Ghosh, Kripabandhu Ghosh, Debasis Ganguly, Tanmoy Chakraborty, Gareth J. F. Jones, Marie-Francine Moens, Muhammad Imran
Exploitation of Social Media for Emergency Relief and Preparedness: Recent Research and Trends. Inf. Syst. Frontiers 20 (5) (2018)
Koustav Rudra, Pawan Goyal, Niloy Ganguly, Prasenjit Mitra, Muhammad Imran
Identifying Sub-events and Summarizing Disaster-Related Information from Microblogs. SIGIR (2018)
Xukun Li, Doina Caragea, Huaiyu Zhang, Muhammad Imran
Localizing and Quantifying Damage in Social Media Images. ASONAM (2018)
Firoj Alam, Shafiq R. Joty, Muhammad Imran
Domain Adaptation with Adversarial Training and Graph Embeddings. CoRR (2018)
Hemant Purohit, Carlos Castillo, Muhammad Imran, Rahul Pandey
Social-EOC: Serviceability Model to Rank Social Media Requests for Emergency Operation Centers. ASONAM (2018)
Christian Reuter, Amanda Lee Hughes, Starr Roxanne Hiltz, Muhammad Imran, Linda Plotnick
Editorial of the Special Issue on Social Media in Crisis Management. Int. J. Hum. Comput. Interact. 34 (4) (2018)
Hemant Purohit, Carlos Castillo, Muhammad Imran, Rahul Pandey
Ranking of Social Media Alerts with Workload Bounds in Emergency Operation Centers. CoRR (2018)
Xukun Li, Huaiyu Zhang, Doina Caragea, Muhammad Imran
Localizing and Quantifying Damage in Social Media Images. CoRR (2018)
Reza Mazloom, HongMin Li, Doina Caragea, Muhammad Imran, Cornelia Caragea
Classification of Twitter Disaster Data Using a Hybrid Feature-Instance Adaptation Approach. ISCRAM (2018)
Firoj Alam, Shafiq R. Joty, Muhammad Imran
Graph Based Semi-supervised Learning with Convolution Neural Networks to Classify Crisis Related Tweets. CoRR (2018)
Kiran Zahra, Muhammad Imran, Frank O. Ostermann
Understanding eyewitness reports on Twitter during disasters. ISCRAM (2018)
Hemant Purohit, Carlos Castillo, Muhammad Imran, Rahul Pandey
Ranking of Social Media Alerts with Workload Bounds in Emergency Operation Centers. WI (2018)
Firoj Alam, Ferda Ofli, Muhammad Imran
CrisisMMD: Multimodal Twitter Datasets from Natural Disasters. ICWSM (2018)
Firoj Alam, Shafiq R. Joty, Muhammad Imran
Domain Adaptation with Adversarial Training and Graph Embeddings. ACL (1) (2018)
Firoj Alam, Ferda Ofli, Muhammad Imran
CrisisMMD: Multimodal Twitter Datasets from Natural Disasters. CoRR (2018)
Dat Tien Nguyen, Ferda Ofli, Muhammad Imran, Prasenjit Mitra
Damage Assessment from Social Media Imagery Data During Disasters. ASONAM (2017)
Zoha Sheikh, Hira Masood, Sharifullah Khan, Muhammad Imran
User-Assisted Information Extraction from Twitter During Emergencies. ISCRAM (2017)
Koustav Rudra, Ashish Sharma, Niloy Ganguly, Muhammad Imran
Classifying Information from Microblogs during Epidemics. DH (2017)
Dat Tien Nguyen, Kamla Al-Mannai, Shafiq R. Joty, Hassan Sajjad, Muhammad Imran, Prasenjit Mitra
Robust Classification of Crisis-Related Data on Social Networks Using Convolutional Neural Networks. ICWSM (2017)
Michaël Aupetit, Muhammad Imran
Interactive Monitoring of Critical Situational Information on Social Media. ISCRAM (2017)
Firoj Alam, Muhammad Imran, Ferda Ofli
Image4Act: Online Social Media Image Processing for Disaster Response. ASONAM (2017)
Dat Tien Nguyen, Firoj Alam, Ferda Ofli, Muhammad Imran
Automatic Image Filtering on Social Networks Using Deep Learning and Perceptual Hashing During Crises. CoRR (2017)
Dat Tien Nguyen, Firoj Alam, Ferda Ofli, Muhammad Imran
Automatic Image Filtering on Social Networks Using Deep Learning and Perceptual Hashing During Crises. ISCRAM (2017)
Muhammad Imran, Prasenjit Mitra, Jaideep Srivastava
Cross-Language Domain Adaptation for Classifying Crisis-Related Short Messages. ISCRAM (2016)
Dat Tien Nguyen, Kamla Al-Mannai, Shafiq R. Joty, Hassan Sajjad, Muhammad Imran, Prasenjit Mitra
Rapid Classification of Crisis-Related Data on Social Networks using Convolutional Neural Networks. CoRR (2016)
Muhammad Imran, Prasenjit Mitra, Carlos Castillo
Twitter as a Lifeline: Human-annotated Twitter Corpora for NLP of Crisis-related Messages. CoRR (2016)
Muhammad Imran, Prasenjit Mitra, Carlos Castillo
Twitter as a Lifeline: Human-annotated Twitter Corpora for NLP of Crisis-related Messages. LREC (2016)
Koustav Rudra, Siddhartha Banerjee, Niloy Ganguly, Pawan Goyal, Muhammad Imran, Prasenjit Mitra
Summarizing Situational and Topical Information During Crises. CoRR (2016)
Muhammad Imran, Prasenjit Mitra, Jaideep Srivastava
Cross-Language Domain Adaptation for Classifying Crisis-Related Short Messages. CoRR (2016)
Muhammad Imran, Patrick Meier, Carlos Castillo, Andre Lesa, Manuel García-Herranz
Enabling Digital Health by Automatic Classification of Short Messages. CoRR (2016)
Ferda Ofli, Patrick Meier, Muhammad Imran, Carlos Castillo, Devis Tuia, Rey Nicolas, Julien Briant, Pauline M. Rudd, Friedrich Reinhard, Matthew Parkan, Stéphane Joost
Combining Human Computing and Machine Learning to Make Sense of Big (Aerial) Data for Disaster Response. Big Data 4 (1) (2016)
Dat Tien Nguyen, Shafiq R. Joty, Muhammad Imran, Hassan Sajjad, Prasenjit Mitra
Applications of Online Deep Learning for Crisis Response Using Social Media Information. CoRR (2016)
Muhammad Imran, Patrick Meier, Carlos Castillo, Andre Lesa, Manuel García-Herranz
Enabling Digital Health by Automatic Classification of Short Messages. Digital Health (2016)
Koustav Rudra, Siddhartha Banerjee, Niloy Ganguly, Pawan Goyal, Muhammad Imran, Prasenjit Mitra
Summarizing Situational Tweets in Crisis Scenario. HT (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Muhammad Imran