Tri-State ExploreCSR

ExploreCSR Workshop

Sponsored by Google Research, Fordham University, University of Connecticut and Stevens Institute of Technology have teamed up to provide a 8-week computer science research experience to students in the tri-state area. We welcome students from all underrepresented minority groups, including but not limited to Women, Black/African American, Hispanic/Latino, First-Generation College students and beyond.

Application

The interested students apply through our online application.

  • You don’t have to be a CS student to apply. We have entry-level projects to help you gain experience in basic computer science research.
  • The priorities will be given students from underrepresented groups. However, we welcome everyone who is interested in computer science research.
  • During the application, you need to select a project that you are interested in. The projects are hosted in three institutions, Fordham University, University of Connecticut and Stevens Institute of Technology.

Research Schedule

  • Selected students will work on targeted project in a small group for 8 weeks from February 22nd to April 22nd.
  • The faculty mentor of the project will lead the group.
  • The students are expected to have a weekly meeting with their mentors.
  • At the end of the program, each group will present a poster in the poster competition session during the workshop.
  • All the activities will be completed online.

Keynote Speaker

Workshop Schedule (on April 23rd, 2021)

  • (9:30 am )Keynote speaker from Academia: Frank Hsu, Fordham University
    • Title: Combinatorial Fusion Analysis: A new paradigm for combining multiple scoring systems
  • (10:15 am) Keynote speakers from Industry: Adam Wood (Google Tensorflow Team), Qin Cao (Google Research)

  • Title: Deep learning with Tensorflow and Research at Google

  • (11:15 am) Panel discussion: Minorities in Computer Science: Challenges and Opportunities

  • Panlist: Gary M. Weiss (Fordham), Damian Lyons (Fordham), Ye Yang (Stevens), Sang Won (Grace) Bae (Stevens)

  • (11:45 am) Virtual Coffee Break and Presentation Setup

  • Research presentation

    • Session-1
      • Spam Classification Using Machine Learning
        • Team Members: Dashawn Leiba (William Paterson), Fidel Ojimba (Hunter), Gary Tapia (Fordham), and Senay Tesfamichael (Rowan)
        • Mentors: Gary M. Weiss (Fordham), Ray Tischio (Fordham)
      • Autonomous Robot Exploration: Team 1
        • Team Member: Zarrin Ali (Fordham), Jessica De Moto Munoz (Hunter), Duvall Pinkney (Lehman),
        • Mentor: Damian Lyons (Fordham)
      • Quantum State Fidelity based Autoencoder
        • Team Members: Sanjidah Abdullah (Hunter), Ethan Lazaro (UConn), Durwood Pinkett (Rowan)
        • Mentors: Ying Mao (Fordham), Samuel Stein (Fordham)
      • Predicting COVID-19 Transmission in Connecticut Using Deep Learning
        • Team Members: Ayushi Patel (UConn), Khori Francis (UConn), Kathryn Dyson (UConn), Nathan Choi (UConn)
        • Mentor: Caiwen Ding (UConn)
      • Utility Monitoring in Data Centers
        • Team Members: Kiera Wolfe (UConn), Erik Brown (Fordham), Sheriann, McLarty (CityTech)
        • Mentor: Caiwen Ding (UConn)
      • Fairness and Privacy in the Optimal Transport for Resource Allocation
        • Team Members: Erin Yan (CMU), Hailey Bober (Hofstra), Maria Jara (Fordham), Navpreet, Kaur (Fordham)
        • Mentor: Juntao Chen (Fordham)
      • Detecting and Tracking Variations and Biases in Figure Skating Judgement
        • Team Members: Yoomin Song (Hunter), Karla Rodriguez (Fordham), Lani Moreno (Rider),
        • Mentor: Frank Hsu (Fordham)
      • Quantum Convolutional Neural Network
        • Team Members: Cyrus Simmons (Staten Island) and Kate Piotrowski (UConn)
        • Mentors: Ying Mao (Fordham), Samuel Stein (Fordham)
      • Efficient Pruning for Deep Neural Networks
        • Team Member: Saumya Shah (UConn)

        • Mentors: Caiwen Ding (UConn), Aditya Kulkarni (UConn)

    • Session-2
      • Preference Detection using Eye Movement Gaze Cascade and Combinatorial Fusion
        • Team Members: Millenia Polanco(UConn), Sanaa Elmosbah(CityTech), Kexin Zhang(Fordham)
        • Mentors: Frank Hsu (Fordham), Christina Schweikert (St. Johns)
      • Detecting Student Emotion and Flow in College Students During the Online Courses – Objectivity-Oriented Approach in the Context of Coding Practice for Engineering Classes
        • Team Members: Arens Demaliaj (Hunter), Hashir Khan (Hunter) and Imtiaz Rahman (Hunter)
        • Mentors: Sang Won (Grace) Bae (Stevens), Rahul Islam (Stevens) and Monil Shah (Stevens)
      • Tak Pricing Patterns in Software Crowdsourcing
        • Team Members: April McBroom (Hartford), Jeison Araujo (CityTech), Joseph Mirabile (Stevens),
        • Mentors: Ye Yang (Stevens), Yinghui Cai (Stevens)
      • Spam Detectives: SMS Spam Detection
        • Team Members: Kayla Alston (UConn), Helen Baraki (CityTech), and Emily Rosario (Fordham)
        • Mentors: Gary M. Weiss (Fordham), Ray Tischio (Fordham)
      • Autonomous Robot Exploration: Team 2
        • Team Members: Feizza Fazilatun (Hunter),Connie Deng (Hunter), Sylvia DeBenedictis (Hunter),
        • Mentor: Damian Lyons (Fordham)
      • Quantum Deep Learning for Binary Classification
        • Team Members: Jonathan Montag (Hofstra) Ashely Tang (UConn)
        • Mentor: Ying Mao (Fordham), Samuel Stein (Fordham)
      • Recognition on Food Images
        • Team Members: Michaela Felipe (UConn), Yuet Ho (Fordham), Rinchen Lama (Hunter), Aditya Kulkarni (UConn)
        • Mentor: Caiwen Ding (UConn)
      • Resource management for Deep Learning Application on the Cloud
        • Team Members: Leyla Tuon Cao (Hunter), Wenxin Liu (Hofstra),
        • Mentor: Ying Mao (Fordham)
      • Leadership Styles in Online Software Community
        • Team Members: Dana Fishman (Hunter), Brandon Cay (William Paterson)
        • Mentors: Ye Yang (Stevens), Yinghui Cai (Stevens)

Best Poster Award

  • Detecting Student Emotion and Flow in College Students During the Online Courses – Objectivity-Oriented Approach in the Context of Coding Practice for Engineering Classes
    • Team: Arens Demaliaj (Hunter), Hashir Khan (Hunter) and Imtiaz Rahman (Hunter)
    • Mentors: Sang Won (Grace) Bae (Stevens), Rahul Islam (Stevens) and Monil Shah (Stevens)
  • Autonomous Robot Exploration: Team 2
    • Team: Feizza Fazilatun (Hunter),Connie Deng (Hunter) and Sylvia DeBenedictis (Hunter)
    • Mentor: Damian Lyons (Fordham)
  • Utility Monitoring in Data Centers
    • Team: Kiera Wolfe (UConn), Erik Brown (Fordham) and Sheriann McLarty (CityTech)
    • Mentor: Caiwen Ding (UConn)

Tri-State ExploreCSR