Mohammed Hasanuzzaman, PhD (Informatics)

I am a Lecturer at the Department of Computer Science, Munster Technological University, Ireland. I am also a member of ADAPT Centre, Ireland's global centre of excellence for digital content and media innovation. My research interests and activities over the past 8 years have been in Natural Language Processing (NLP), especially Temporal Information Extraction, Machine Translation, Psycholinguistics, Social Media Analytics and Machine Learning applications to NLP. I have published more than 36 papers in a range of highly respected conferences including ACL, SIGIR, NAACL, COLING, EACL, CoNLL, ECIR, Hypertext, ECAI, ESWC and IJCNLP. I have also published papers in highly reputed journals such as Nature, PLOSOne, IEEE Intelligent Systems, IEEE Transactions on Affective Computing,and ACM Transactions on Knowledge Discovery from Data.

Prior to this, I earned my doctorate degree from the University of Caen Normandie, Caen, France. I was hosted at the GREYC Laboratory, a joint collaboration between the French National Centre for Scientific Research (CNRS), Ecole Nationale Supérieure d'Ingénieurs de Caen – ENSICAEN and University of Caen Normandie during my doctoral studies. In my doctoral studies, I introduced a temporal ontology namely TempoWordNet where word senses are associated with their intrinsic temporal dimensions: atemporal, past, present, and future. The developed resource was released publicly in March 2014. Till date, the resource is downloaded more than 10,000 times all over the world. TempoWordNet can be accessed from the open multilingual WordNets website (http://compling.hss.ntu.edu.sg/omw/), managed by Nanyang Technological University, Singapore. After finishing my PhD studies, I worked briefly for a social media analytics company based in Hong Kong as Natural Language Processing Researcher.

I am currently involved in several European projects as PI/Co-PI such as WARIFA, ITFLOWS, STEM In Action, and MOVES-Monitoring Virtual Crowds in Smart Cities.

I was awarded with PhD Scholarship from the French Ministry of Superior Education and Research, Govt. of France for my doctoral studies. In the year 2018, I received Erasmus+ staff mobility award for teaching and training. I have also received the Dublin City University INVENT Award for Engagement with Business/Industry for the year 2018. Currently, I am jointly supervising 3 PhD students. Till date, I have supervised more than 15 Master thesis.

News

  • Manuscript entitled 'Multitask Learning for Complaint Identification and Sentiment Analysis' accepted in Cognitive Computation (IF=4.307).
  • Project proposal entitled 'Watching the risk factors (WARIFA): Artificial intelligence and the prevention of chronic conditions' is accepted for funding under EU's health programme. The total budget is Euro 6.8 Million
  • Project proposal entitled 'STEM in Action; Open Educational Resources for Teachers' is accepted for funding under Erasmus+ | KA2-Cooperation for innovation and the exchange of good practices. The total budget is Euro 175 K
  • Manuscript entitled 'Multi-view Clustering for Multi-Omics Data Using Unified Embedding' accepted in Nature Scientific Report.
  • Manuscript entitled 'Measuring Temporal Distance Focus fromTweets and Investigating its Association withPsycho-demographic Attributes' accepted in IEEE Transactions on Affective Computing (IF=6.288).
  • Paper entitled 'Multi-Modal Summary Generation using Multi-objective Optimization' accepted at the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020), Xi'an, China .
  • Program committee member, EMNLP 2020
  • Program committee member, AACL-IJCNLP 2020
  • Manuscript entitled 'A Multi-view Deep Neural Network Model for Chemical-Disease Relation Extraction from Imbalanced Datasets' accepted in IEEE Journal of Biomedical and Health Informatics (IF=4.217).
  • March, 2020-Manuscript entitled 'Neural Machine Translation of Low-resource Languages using SMT Phrase Pair Injection' accepted in Cambridge University Press Natural Language Engineering (NLE).
  • I am looking for passionate NLP/ML/Semantic Web/Digital Health/Big Data experts for the prestigious ELITE-S Postdoctoral Fellowship (2 years position). For more details: https://elite-fellowship.eu/
  • Manuscript entitled 'Improving Depression Level Estimation by Concurrently Learning Emotion Intensity' accepted in IEEE CIM (IF=5.857).
  • Paper entitled 'Text-Image-Video Summary Generation using Joint Integer Linear Programming' accepted at the 42nd European Conference on Information Retrieval (ECIR 2020), Lisbon Portugal.
  • Program committee member, ACL 2020
  • Guest Editor, Special issue of Computational Approaches to History (HistoInformatics) at Journal of Data Mining and Digital Humanities (JDMDH)
  • Manuscript entitled 'Unified Multi-view Clustering Algorithm using Multi-objective Optimization Coupled with Generative Model' accepted in ACM Transactions on Knowledge Discovery from Data (IF=2.54)
  • Manuscript entitled 'Terminology Translation in Low-Resource Scenarios' accepted in Journal of Information
  • Book review 'Ruslan Mitkov, Johanna Monti, Gloria Corpas Pastor, and Violeta Seretan (eds): Multiword Units in Machine Translation and Translation Technology' accepted in Machine Translation Journal (IF=0.85)
  • Manuscript entitled 'Multitask Representation Learning for Multimodal Estimation of Depression Level' accepted in IEEE Intelligent Systems (IF=4.46)
  • Organizing the 5th International Workshop on Computational History (HistoInformatics2019), in conjunction with the 23rd International Conference on Theory and Practice of Digital Libraries (TPDL2019), September 12th, 2019 in Oslo, Norway