Maryam Ghasemi
Boston University
Department of Computer Science
111 Cummington Street
Boston, MA 02215
Email:
Homepage:
ghasemi@cs.bu.edu
http://cs-people.bu.edu/ghasemi/
EDUCATION
2011-present
Ph.D. in Computer Science, Theoretical Research Group, Boston University.
2009-2011
M.Sc. in Computer Science, Theoretical Research Group, Boston University.
2005-2008
M.Sc. in Computer Science (Theory of Computation), Math Department, Sharif University of Technology.
2000-2005
B.Sc. in Computer Engineering, Sharif University of Technology.
RESEARCH
INTERESTS
Data Mining/Analysis, Optimization, Modeling Resource Demand especially in Clouds,
Game Theory.
SKILLS
Python, Java, R, CPLEX, Matlab, Mathematica, C/C++, HTML, Linux, Weka,
MySql, LATEX
SELECTED
PUBLICATIONS
1. M. Ghasemi, I. Matta, F. Esposito, “The Effect of Competition among Brokers
on the Quality and Price of Differentiated Internet Services”, Submitted to IEEE
JSAC
2. M. Ghasemi, I. Matta, “Pricing Differentiated Brokered Internet Services”, IEEE
INFOCOM’16 workshop on Smart Data Pricing
3. M. Ghasemi, B. Lubin, “Modeling Multi-Attribute Demand for Sustainable Cloud
Computing With Copulae”, IJCAI’15
4. M. Ghasemi, B. Golshan, “Gender Differences in YouTube as an Educational
Platform: A Case Study”, Under Preparation
5. M. Ghasemi, B. Lubin, “Multi-Dimensional Product Design and Its Application
to the Cloud ”,Poster Presented at SCECR 2013, Lisbon, Portugal
6. M. Sahraei-Ardakani, M. Ghasemi, A. Rahimi-Kian, “Q-Learning in General Sum
Stochastic Games using Different Time Order for Policy Update”, Technical Report, Tehran University, Summer 2009
RESEARCH
EXPERIENCE
Boston University
• Pricing Strategies in Differentiated Internet Service
Modeling and solving a two stages Bertrand game with price constraints for
oligopoly service-oriented market with three types of players (wholesale providers,
brokers and customers)
• Marketing Optimization for Multi-attribute goods
Modeling and analyzing resource demands in cloud computing and finding the
best configuration of attributes to optimize the revenue of sellers by modeling the
market
• YouTube as an Educational Platform
Analyzing YouTube to quantify how effective YouTube can be as an educational
platform and in particular, study of the participation of women in the discussions.
Tehran University
• Q-Learning in General Sum Stochastic Games using Different Time Order for
Policy Update
TEACHING
EXPERIENCE
• Algebraic Algorithms
• Algorithmic Techniques for Large Problems
• Theory of Computation
• Combinatoric Structures
• Theory of Computer Science
• Data Structure and Algorithm (Instructor)
HONORS &
AWARDS
• Ranked 11th among over 5000 applicants in Iran’s Nationwide Examination for
Graduate Admissions in Computer Science, Iran, May 2005
• Ranked 124th among over 400, 000 applicants in Iran’s Nationwide University
Entrance Exam for Engineering and Applied Math, July 2000
• Research and teaching fellowship, Boston University Graduate School of Arts &
Sciences