Seyed Ali Rokni Dezfooli

I am a PhD student in Computer Science at Washington State University. My research focus is on multi-view learning algorithm development for embedded and pervasive systems. I received my B.S. degree in Computer Engineering from Amirkabir University of Technology, Tehran, Iran in 2005. In 2008, I received my MS.c. in Computer Science from Sharif University of Technology, Tehran, Iran. From 2008 to 2014, I was involved in research and development in software engineering and machine learning in industry. I spent summer 2016 as a research intern at Samsung Research America, Richardson, TX.

Education PhD in Computer Science
Washington State University
M.S. in Software Engineering
Sharif University of Technology, Tehran, Iran
B.Sc. in Software Engineering and IT double major
Amirkabir University of Technology (Former Tehran Polytechnic), Tehran, Iran
Research and Professional Experiences Washington State University
Research Assistant
Development of multi-view learning algorithm for pervasive systems particularly in health care applications
Samsung Research America
Research Intern
Design and Implementation of adaptive on-device context learning algorithms
(Summer 2016)
Amirkabir Univeristy – Human Language Technology Lab
Farsi Named Entity Recognition system using parallel corpora and graph-based semi-supervised learning
Rahbord Group
Senior Software Engineer
• Successful Agile Team Lead
• Design and Implementation of Salam Metasearch Engine with numerous value-added services
• Farsi Language Stemmer
Software Developer
• Distributed Data Access Framework to allow distributed dynamic entities on heterogeneous storage platforms
• Design and implementation of an ORM with its innovative query language.
• Design and Implementation of SPL (Software Product Line) based on DSLs and DDD (Domain Driven Design)
Shahab Danesh University
Teaching of undergraduate courses: Artificial Intelligence, Design Patten and Design and Implementation of Programming Languages
Recent Publications Plug-n-Learn: Automatic Learning of Computational Algorithms in Human-Centered Internet-of-Things Applications, The 53rd ACM /IEEE Design Automation Conference (DAC)
Autonomous Sensor-Context Learning in Dynamic Human-Centered Internet-of-Things Environments, The 35th IEEE/ACM International Conference On Computer Aided Design (ICCAD)
Smart Medication Management, Current Technologies, and Future Directions, Handbook of Research on Healthcare Administration and Management (IGI Global)

It’s under reconstruction.
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