Faria Nassiri Mofakham

Full Name
Dr. F. Nassiri Mofakham
Function(s)
Researcher
Email
Faria.Nassiri.Mofakham@cwi.nl
Telephone
+31 20 592 4131
Room
M341
Department(s)
Intelligent and Autonomous Systems

Biography

Faria Nassiri-Mofakham is a Scientific Researcher at the Intelligent and Autonomous Systems group at Centrum Wiskunde & Informatica (CWI), the national research institute for Mathematics and Computer Science in the Netherlands (From 2019). Previously, she held a position as Assistant Professor at Faculty of Computer Engineering, University of Isfahan, where she studied BSc in Mathematics, and MSc and PhD in Computer Engineering, and graduated in 2010. She also was a Visiting Scholar at Intelligent Agent Technology group at Swinburne University of Technology in 2008-2009. She was a member of several university-wide to national-wide committees related to her background and experience (2010-2019). She was awarded Distinguished Student, Best Woman Researcher, Best Thesis, Outstanding Professor, and Outstanding Reviewer (2002-2016). She has been the lead and member of several domestic and international projects in e-commerce, computer science, and information technology (2012-2019). She has teaching experience in variety of topics, from Artificial Intelligence, and Electronic Commerce, to Data Mining, and Ethics in Information Technology (2005-2019). She has supervised several BSc, MSc and PhD theses (2007-2019), and been the supervisor of the students' teams (BraveCat, ParsAgent, ParsCat, AgreeableAgent) who made the finalists and winners ranks in Automated Negotiating Agents Competition (ANAC) and ALIBABA International Big Data Competitions (UI-Team), 2014-2018.

Research

Faria currently focuses on practical challenges of one-to-many automated negotiations in multiagent systems for real markets, where in addition to the challenges in one-to-one negotiations, devising initial bids on multiple multi-attribute goods, distributing the utility functions among agents, coordinating individual bilateral negotiation strategies, managing multiple concurrent deals, determining when to bid and when to stop, eliciting user preferences on bundles, and modeling the opponents and the market are of paramount complexity.

Her research interests are in e-commerce with a focus on computational theories, methods and technologies in the field of computer science especially Artificial Intelligence interdisciplined with sociology, economics, marketing, and psychology, where automated negotiation, complex auctions, game theory, multiagent systems, machine learning, data mining, and computational social choice for modeling the mechanisms and users in Smart Markets are of most interest to her.

In her MSc thesis in electronic commerce, she studied electronic payment systems, e-coin, e-cash, and e-check (iPay-eCheck, 2003). In her PhD, she switched from cryptology and e-banking to game theory, automated negotiation, and auction theory where she studied a mix of artificial intelligence, cognitive science, economics, and marketing through bidding strategy for agents in combinatorial double auctions.

She is reviewer of high rank journals including INS, AIJ, KnoSys, and ECRA, PC member of top-level conferences such as IJCAI and AAAI, and invited editor of Intelligent Computational Systems: A Multi-Disciplinary Perspective (Current and Future Developments in Artificial Intelligence). She is also a member of ANAC board.  

List of the theses she supervised.

More information & list of publications: CVResearchGateGoogle Scholar, LinkedIn.  

Teaching

Faria has taught several courses in BSc and MSc levels in both fundamental and applied aspects of Information Technology and with different types of homework and projects most of them designed related to real problems delivering better learning experiences. She got the Nationwide Outstanding award for Teaching and Research in Information Technology (2014). 

Awards/honors

http://engold.ui.ac.ir/~fnasiri

 

Current projects with external funding

  • Developing algorithms for testing and use on Acumex's platform (PPS ACUMEX)