Mohammadzaman Zamani
PERSONAL
INFORMATION
RESEARCH
INTERESTS
West G apt.
450 Circle Rd. Stony Brook
New York, USA
Cell Phone: 631 5076802
Email: [email protected]
Birth date: Sep. 1988
• Algorithm Design
• Data(Graph) Mining
• Social Networks
• Machine Learning
EDUCATION
PhD Student in Computer Science at department of computer science, State University of New York at
Stony Brook, Fall 2014 – NOW.
• GPA: 3.75/4
• Courses: Analysis of Algorithms (A), Artificial Intelligence (A−), Machine Learning (A−), Discrete Mathematics (A).
MSc in Artificial Intelligence Department of Computing Science, Sharif University of Technology, Tehran,
Iran, 2010– 2012.
• GPA: 19.01/20(3.9/4)
• Courses: Game Theory (20), Randomized Algorithms (18.2), Machine Learning (18.2), Neural
Networks and Fuzzy Systems (20), Evolutionary Algorithms (19.3), Digital Signal Processing (20).
BSc in Software Engineering Department of Computer Engineering, Sharif University of Technology,
Tehran, Iran, 2006 – 2010.
Including Graph Theory (19.5/20)
• GPA: 16.32/20(3.33/4)
HONORS &
AWARDS
• Recipient of research internship scholarship from ’Max Planck Institute for intelligent systems’,
Tuebingen, 2014,
• Ranked 11th in PhD entrance exam among more than 5, 000 students, 2012.
• Ranked 2nd in Cumulative GPA among Artificial Intelligence student of computer engineering
department at Sharif University of Technology, 2012.
• Ranked 46th in graduate university exam among more than 20, 000 students, 2010.
• Recipient of the Grant for Undergraduate Studies from the ’National Elites Foundation’ (The highest prestige and professional nation foundation).
• Ranked 172nd in university entrance exam among more than 200, 000 students, 2006.
• Recipient of Silver medal in Iranian National Informatics Olympiad, 2005.
• Selected for study in schools of National Organization for Development of Exceptional Talents
(NODET), 2002.
RESEARCH
EXPERIENCE
• Mohammadzaman Zamani, Hamid Beigy, Amirreza Shaban, ‘Cascading Randomized Weighted
Majority Algorithm, A New Online Ensemble Learning Algorithms’, in IDA journal 2016.
• Zhong Sichen, Lu Zhao, Yan Liang, Mohammadzaman Zamani, Rob Patro, Rezaul Chowdhury,
Esther M. Arkin, Joseph S. B. Mitchell, and Steven Skiena, ’Optimizing Read Reversal for Sequence
Compression’, WABI 2015.
• Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Mohammadzaman Zamani, Nan Du, Hongyuan
Zha, Le Song, ’Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades’. AISTATS 2015.
• Research on Diffusion Networks, under supervision of Dr. Manuel Gomez Rodriguez, Max Planck
Institute for Intelligent Systems, 2014.
• ‘A new Online Learning Algorithm for Spam Detection,’ under supervision of Dr. Beigy, M.Sc.
Thesis, Sharif University of Technology, 2012.
• ‘Parallel Genetic Algorithms Implemented by CUDA,’ Under supervision of Dr. Beigy, B.Sc. Thesis, Sharif University of Technology, 2010.
TEACHING
EXPERIENCE
Teaching Basics of Computer Science, high school students for Informatics Olympiad preparation, Since
2008;
Teaching materials included ‘C and C++ Programming’, ‘Discrete Mathematics’, ‘Design of Algorithm’,
‘Graph Theory’ and ‘Combinatorics’.
Teaching Assistant:
• Neural Networks & Fuzzy Systems, Presented by Dr. Jalili, Spring 2012.
• Machine Learning, presented by Dr. Beigy, Fall 2011.
• Data Structures, Presented by Dr. Abam, Spring 2011.
• Discrete Structures, Presented by Dr. Safari, Spring 2011.
• Discrete Structures, Presented by Dr. Izadi, Spring 2010.
• C/C++ Programming, Fall 2008.
• Logical Circuits, Fall 2007.
COMPUTER
SKILLS
• Programming Languages: C/C++, Java, Matlab, Python.
• Web/DB Technologies: HTML, PHP(Symfony), MYSQL, CSS, JavaScript.