Following is an updated list of research and development projects I have been involved with. Most of my programming and coding contributions have been done throughout the lifecycles of following projects.

Multimodal Fashion Recommendation Systems (FashionRecsys), (2015-2018)
research project aimed at development of a platform for mining social media mixed content (natural language and image) through deep learning with the aim of identification of style trends as well as understanding fashionistas behaviour to make informed recommendations.
European Data Science Academy (EDSA), (2015-2018) EU Commission (EU H2020)
The European Data Science Academy (EDSA) will establish a learning platform whereby we: a) analyse the required sector specific skill sets for data analysts across the main industrial sectors in Europe; b) develop modular and adaptable data science curricula to meet these needs; and c) deliver training supported by multi-platform and multilingual learning resources based on our curricula. I was involved as an industrial research consultant by providing material about Swedish industry’s need on data science skills and demands.
Learning Machines Initiative (LMA) (2015-2017), Swedish Government Funded
A national grant for building a research center for advancing industrial machine intelligence. The center will focus on advanced research and applications in Big Data Analytics and Machine Learning. The research center will focus on high value, high impact applications of machine learning on massive data sets.
Research Environment for Advancing Low Latency Internet (READY) (2013-2018), Swedish Government Funded
The READY distributed research environment address the increasingly problematic latency issues of the Internet. The scientific objectives include analysing and understanding the causes for latency, developing new mechanisms, protocols and architectural elements to mitigate the latency problem, and evaluating the results in application-relevant scenarios using testbeds, simulators and other tools.
Travel Demand Estimation Using Cellular Network Data (MODE) (2013-2016) Swedish Research Agency (Vinnova),
Cellular networks generate large amounts of spatio-temporal data that can fundamentally change how we are able to understand, estimate and predict our transport systems. In the MODE project we develop scalable and integrity-preserving methods for modeling collective mobility patterns using cellular network data, with the purpose of enabling accurate travel time and traffic flow predictions.
Web Services Analytics (2009-2011) Swedish Council for Research (Vetenskapradet) National project,
focused on developing automated analytics framework for ontological web services. The framework incorporated composition, coordination and discovery of services. Former allowed coordinated execution of services, while latter allowed for intelligent indexing and Business Resume Nima Dokoohaki retrieval of web services resources. I contributed to modelling social networks of web services providers and consumers.
SmartMuseum (SmartMuseum) (2008-2010) EU Commission Framework Programme 7 (EU FP7),
SmartMuseum (2008-2010), EU Commission (EU FP7) The overall objective of the project is to develop a platform for innovative services enhancing on-site personalised access to digital cultural heritage through adaptive and privacy preserving user profiling. My contribution to the project was to user profiling ontologies, learning user profiles from the social web and recommendation generation methods.