Nima Dokoohaki is a data scientist and currently affiliated with Accenture Applied Intelligence. In addition, he maintains collaboration with a research group at Software and Computer Systems department of Royal Institute of Technology (KTH) as an external advisor. His research interests include trust and privacy, applied machine learning, social computing and recommendation systems. He received his Ph.D. in information and communications technology (ICT) in 2013. The main theme of his research was how to understand and leverage the notion of Social Trust so online service providers can deliver more transparent and privacy preserving analytical services to their end users. His research has been backed by European projects funded from EU Framework Programme 7 and Horizon 2020 framework programs, as well as distinguished public funding organizations including Swedish Research Council and Vinnova. In 2014, he received a distinguished fellowship from the a European Research Consortium for Informatics and Mathematics (ERCIM). He has published over 30 peer-reviewed articles. In addition to two best paper awards, he has been interviewed for his visible research and his lecture has been broadcasted on Swedish public television. An ACM professional member, he is a certified reviewer for prestigious Knowledge and Information Systems (KAIS) as well as occasional reviewer for recognized international venues and journals.

Recent work

Edited Book
Fashion Recommender Systems ,
Published as part of Lecture Notes in Social Networks (LNSN) by Springer Nature,
2020. fashionxrecsysbook-2020

Co-Edited Book together with Nitin Agarwall and Sepril Tokdemir
Emerging Research Challenges And Opportunities in Computational Social Network Analysis and Mining,
Published as part of Lecture Notes in Social Networks (LNSN) by Springer Nature,
2018. erco-csnam2018

Shatha Jaradat, Nima Dokoohaki, Humberto Corona, Reza Shirvany.,
Fashion Recommender Systems
Springer Handbook of Recommender Systems (RecSysHB), Forthcoming,To be published Spring 2021.

Kim Hammar, Shatha Jaradat, Nima Dokoohaki, Mihhail Matskin
Deep text classification of Instagram data using word embeddings and weak supervision
Web Intelligence 2020 (No. Preprint, pp. 1-15). IOS Press.

Shatha Jaradat, Nima Dokoohaki, Ummul Wara, Mallu Goswami, Kim Hammar, Mihhail Matskin
TALS: A Framework for Text Analysis, Fine-Grained Annotation, Localisation and Semantic Segmentation
2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC), Milwaukee, WI, USA, 2019, pp. 201-206, doi: 10.1109/COMPSAC.2019.10207.