Soheila Abrishami

Room 267, Computer Science Depratment, Florida State University· abrisham@cs.fsu.edu

I am currently a PhD candidate at the Department of Computer Science, Florida State University. Research Area: Machine Learning, Pattern Recognition, Knowledge Discovery and Data Mining

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Experience

Gradute Research and Teaching Assistant

Florida State University
  • Python Programming for Young Scholar Program, Instructor, FSU
  • Python Programming: Teaching Assistant, FSU
  • Data structures, Algorithms, and Generic Programming: Teaching Assistant, FSU
  • Object Oriented Programming in C++: Teaching Assistant, FSU
    • 2013 - 2019

    Data Scientist

    Captiveyes/ Bloomintelligence, Tallahassee, FL
    Sep 2016 - May 2017

    Internship Experience

    Research assistant intern in Oracle Labs, Redwood City, CA, October 2018 - May 2019
    Software Developer in Datamaxx Group, Tallahassee, FL, Summer 2014

    Education

    Florida State University

    PhD, Florida State University, Department of Computer Science, Tallahassee, FL
    2013 - 2019

    Azad University of Mashhad

    MSc, Azad University of Mashhad, Department of Computer Engineering, Iran
    2010 - 2012

    Sadjad University of Technology

    BSc, Sadjad University of Technology, Department of Computer Engineering, Iran
    2002 - 2006

    Skills

    • Programming language: Python, C++, C, Bash Script, Git, Jupyter, MATLAB, Assembly
    • Analytic: Python data science packages (Scikit-learn, Seaborn, Pandas, Keras, Tensorflow)
    • Parallel Programming: OpenMP, MPI, Socket Programming
    • Professional Software: Protege, Weka
    • System administration: Unix/Linux, Windows
    • Databases: MySQL, Access

    Publication

  • S. Abrishami, M. Turek, A. Choudhury and P. Kumar, "Enhancing Profit by Predicting Stock Prices using Deep Neural Networks" accepted at the 31st International Conference on Tools with Artificial Intelligence, Portland, Oregon, November, 2019
  • S. Abrishami and P. Kumar, "Using Real-World Store Data for Foot Traffic Forecasting" 2018 IEEE International Conference on Big Data, Seattle, December, 2018. PDF
  • S. Abrishami , P. Kumar and W. Nienaber, "Smart Stores: A scalable foot traffic collection and prediction system" 17th Industrial Conference on Data Mining ICDM, New York, USA, July, 2017. PDF
  • P. Volkova, S. Abrishami and P. Kumar, "Automatic Web Page Coloring" 12th International Symposium on Visual Computing, Las Vegas, USA, December 2016. PDF
  • S. Abrishami , M. Naghibzadeh, and M. Jalali, "Web Page Recommendation Based on Semantic Web Usage Mining" 4th International Conference on Social Informatics, Lausanne, Switzerland, December 2012. PDF
  • S. Abrishami , F. Hasanzadeh, M. Naghibzadeh, and M. Jalali, "Web Page Recommendation via Semantic Information and Web Usage Mining" 6th International Conference on Data Mining, Tehran, Iran, December 2012. (Written In Persian)
  • S. Abrishami , F. Hasanzadeh, F. Hasanzadeh, and M. Jalali, "An approach to discovering Fuzzy Association Rules through Fuzzy Data" 4th Conference on Information and Knowledge Technology, Babol, Iran, May 2012.

    • Awards & Certifications

    • Outstanding Teaching Assistant award, Computer Science Department, FSU, April 2018
    • Best research presentation at Florida State University CS Expo, 2017
    • Ermine M. Owenby Travel Award from the College of Arts and Sciences, FSU 2017
    • Florida State University Congress of Graduate Students Travel Award, 2017
    • Google travel grant for attending GRACE HOPPER CELEBRATION - GHC - 2017
    • Captiveyes Big Data Fellowship, FSU 2016 and 2017
    • Capital One Modeling Competition 2016 as top five team
    • Scholarship for attending CRA-W Graduate Cohort - CRA-W 2014, 2015, 2016 and 2017
    • Scholarship for attending Grace Hopper Celebration - GHC - 2014