Ramtin Hosseini

1st year PhD. student at Tufts University
Office: Halligan 226
Email: ramtin.hosseini@tufts.edu
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Tufts University, Medford, MA, USA                                                  Sept. 2019 – Present
Doctor of Philosophy in Computer Science

Tufts University, Medford, MA, USA                                                 Jan. 2017 – May 2019
Master of Science in Computer Science

Shahid Beheshti University, Tehran, Iran                                       Sept. 2010 – July 2014
Bachelor of Science in Computer Engineering

Research Interests

  • Artificial Intelligence
  • Machine Learning
  • Deep Learning
  • Natural Language Processing
  • Bioinformatics
  • Robotics

  • Publications (Journal/ Conference Papers)

  • Ramtin Hosseini et al., Pathway Activity Analysis and Metabolite Annotation for Untargeted Metabolomics using Probabilistic Modeling, Under Review, Bioinformatics Journal. [Paper] [Supplementary] [Supplementary_Table_1]

  • Gyan Tatiya, Ramtin Hosseini et al., A Framework for Sensorimotor Cross-Perception and Cross-Behavior Knowledge Transfer for Object Categorization, Under Review, Frontiers in Robotics and AI Journal.

  • Gyan Tatiya, Ramtin Hosseini et al. Sensorimotor Cross-Behavior Knowledge Transfer for Grounded Category Recognition, 2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), Oslo, Norway, Aug. 19-22, 2019. [Paper] [Poster] [Code] [Dataset] [Dataset Description] [BibTeX]

  • Honors and Awards

  • Recipient of Full Tuition Scholarship Award in PhD. Program, Department of Computer Science, Tufts University, Medford, MA, USA, Sept. 2019 - Present
  • Recipient of Full Tuition Scholarship Award in MSc. Program, Department of Computer Science, Tufts University, Medford, MA, USA, Jan. 2017 - May 2019
  • Recipient of Full Tuition Scholarship Award in BSc. Program, Department of Computer Engineering, Shahid Beheshti University, Tehran, Iran, Sept. 2010 - July 2014
  • Ranked 3rd among 80 students at Shahid Beheshti University (with direct MSc. admission offer from Shahid Beheshti University Talent Acquisition), Sept. 2010 - July 2014
  • Ranked top 1% among nearly 300,000 participants for Nationwide Entrance Mathematics Exam of universities in Iran, June 2010

  • Teaching Experience

  • Artificial Intelligence [Spring 2018, Summer 2018]
  • Bayesian Deep Learning [Fall 2019]
  • Algorithms [Fall 2018]
  • Data Structure [Fall 2017]
  • Computation Theory [Summer 2018]
  • Web Programming [Summer 2017]
  • Discrete Mathematics [Spring 2017]
  • Machine Learning [Fall 2014]
  • Advance Topic in Hardware Engineering [Spring 2014]
  • Digital Logic Design [Fall 2013]

  • Work Experience

  • Internship in Iran Khodro Industrial Group, Tehran, Iran, May 2014 - Sept. 2014
  • Internship in Gam Institute, Tehran, Iran, May 2013 - Sept. 2013

  • Personal Projects

  • Text Classification
  • Hand-written Digit Recognition
  • Language Modeling
  • Bayesian Neural Network + Hamiltonian Monte Carlo
  • Bayesian Neural Network + Variational Inference
  • Implementing a bootable disk using assembly AT&T
  • Implementing and synthesizing Mano processor using VHDL
  • Implementing Sudoku Puzzle solver with backtrack algorithm using C++
  • Implementing AVL Data Structure using Java
  • Implementing Fast Binary-Coded Decimal Digital Multiplier using VHDL

  • Selected Coursework

    Machine Learning, Bayesian Deep Learning, Statistical Pattern Recognition, Artificial Intelligence, Big Data, Computational Systems Biology, Algorithms, Human-Computer Interaction, Advanced Computer Architecture, Embedded System Design, VHDL Automatic Design

    Computer Skills

  • Programming: Python, MATLAB/ Octave, R, C, C++, C#, Java, JavaScript, VHDL, Verilog, SystemC, Assembly, Shell scripting, HTML5, CSS
  • Tools/ Platform: PyCharm, Jupyter, PyMC3, TensorFlow, Keras, PyTorch, Google Cloud Platform, Amazon Web Service (AWS), GitHub, ROS, LaTeX, ModelSim, Synopsys Design Compiler
  • Operating Systems: Linux/ gnu Ubuntu Distribution, Windows, Mac OS X

  • Languages

  • Persian: Native
  • English: Fluent
  • German: Fluent
  • Arabic: Familiar

  • Hobbies

    Mountain Climbing, Swimming, Tennis, Photography