Dr Muskaan Singh

Dr. Muskaan Singh is a Lecturer in Data Analytics at the Intelligent Systems Research Centre (ISRC), within the School of Computing, Engineering and Intelligent Systems, Ulster University (UU) and a member of the cognitive analytics research center (CARL).

Her research interest is centered around Natural language Processing, which includes everything from computational linguistics and fair bits of computer science, software engineering, artificial intelligence, machine learning, deep learning, intelligent systems, with a particular focus on practical applications. She has worked on various projects in collaboration with industry and academia ranging from industrial projects to EU-funded H2020 research framework. She has published at prestigious venues (A* and A-ranked conferences) high-impact conferences/journals in the domain of NLP/ML for Machine Translation (MT), Text/Dialogue Summarization, Sentiment Analysis, Social Media Analytics, Scientific Document Processing and Financial/ Forensic Sciences.

Her team has been awarded with First prize winner in Internation Create Challenge, AI Innovation 9-days Hackathon at IDIAP Switzerland, EVAL4NLP at EMNLP 2021, LT-EDI-2022 at ACL 2022, IWSLT at ACL 222, Creative-Summ at COLING 2022, SMM4H 2022 at COLING 2022, DrugProt at NAACL 2021 and third prize winner in the AI Debater Challenge on Argument Pair Extraction task at NLPCC2021.

Dr. Muskaan was the organizer of Automatic Minuting community events: SummDial at SIGDial 2021 and AutoMin shared task at Interspeech 2021, SummDial at Dubdial 2022 and AutoMin shared task at INLG 2023.

She has been awarded the Inclusion and Diversity Grant in EMNLP 2021 for presenting her work on Scholarly Document Processing. GHC scholarship, 2019 to present her work on machine translation in Orlando, Florida. She received best poster award in GHCI, Bengaluru and at Curtin University, Malaysia, 2019.

Before joining UU, Dr. Muskaan was working in Speech and Audio Processing Group, IDIAP Research Institute, Switzerland with affiliation to EPFL. She investigated text extracted from audio calls for ROXANNE (Real time network, text, and speaker analytics for combating organized crime) which was EU funded collaborative research and innovation project with Law Enforcement Agencies (LEAs), aiming to unmask criminal networks and their members as well as to reveal the identity of perpetrators by combining the capabilities of speech/language technologies and visual analysis with network analysis.

Dr. Muskaan pursued her postdoctoral work with the Institute of Formal and Applied Linguistics, Faculty of Mathematics and Physics at Charles University, Czech Republic. She explored summarizing meetings in the form of structured minutes for ELITR project “European Live Translator” supported by the EU under the Horizon 2020 program in collaboration with University of Edinburgh, KIT and Alfaview. Dr. Muskaan was also Invited for talk at AILC Lectures on Computational Linguistics 2021. Rome, Italy for presenting this work.

She also was involved in a data analytics project with UU and AllState In, for incident severity prediction framework supported by UK Research and Innovation Turing AI Fellowship 2021-2025 funded by the Engineering and Physical Sciences Research Council.

She received her Ph.D. from Thapar Institute of Engineering and Technology, India in MT, where she focused on extracting linguistic features from Indian languages and feed into Neural MT for End-to-End Training. She developed a web-service for translation of Sanskrit to Hindi, which provides morphological, syntactic, and semantic analysis at each level of translation deployed on AWS cloud services. In her master as well, she studied MT with project ANUSAARKA, for English to Hindi rule-based translation at IIIT Hyderabad, India.