Ongoing Research Projects


  • Linked Maps
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  • Exploiting Context in Cartographic Evolutionary Documents to Extract and Build Linked Open Spatio-Temporal Data

    Project Website

    Publications

    Shbita, B., Knoblock, C.A., Duan, W., Chiang, Y.Y., Uhl, J.H. & Leyk, S. (2022, September). Building Spatio-Temporal Knowledge Graphs from Vectorized Topographic Historical Maps. Semantic Web, (Preprint), pp.1-23

    Link · Paper · Code · Explorer

    Li, Z., Chiang, Y. Y., Tavakkol, S., Shbita, B., Uhl, J. H., Leyk, S., & Knoblock, C. A. (2020, August). An Automatic Approach for Generating Rich, Linked Geo-Metadata from Historical Map Images. In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (pp. 3290-3298)

    Link · Paper

    Shbita, B., Knoblock, C. A., Duan, W., Chiang, Y. Y., Uhl, J. H., & Leyk, S. (2020, May). Building Linked Spatio-Temporal Data from Vectorized Historical Maps. In European Semantic Web Conference (pp. 409-426). Springer, Cham

    Link · Paper

  • Python PostGIS TTL/RDF Semantic Web Knowledge Graphs Information Integration
  • Table Understanding
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  • Extracting and Interpreting Time Series for Causal Discovery

    Project Website

    Publications

    Shbita, B., Rajendran, A., Pujara, J., & Knoblock, C. A. (2019). Parsing, Representing and Transforming Units of Measure. In Modeling the World’s Systems

    Paper · Poster · Code

  • Python TTL/RDF Semantic Web Linked Data Knowledge Graphs Information Integration NLP
  • MINT (Model INTegration)
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  • Scientific Model Integration through Knowledge-Rich Data and Process Composition

    Project Website

    Publications

    Shbita, B., Vu, B., Feldman, D., Pham, M., Rajendran, A., Knoblock, C. A., Pujara, J., & Chiang, Y. Y. (2019). Creating a FAIR Data Catalog to Support Scientific Modeling. In Workshop on Advanced Knowledge Technologies for Science in a FAIR World (AKTS)

    Paper

  • Python TTL/RDF Linked Data Knowledge Graphs Information Integration

Completed Research & Educational Projects


  • Viola @ Socialbot Grand Challenge 4
    university challenge to advance human-computer interaction (semi-finalists)
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  • An open-domain dialogue system for spoken conversation that uses a topic-agnostic dialogue manager based on a simple generate-and-rank approach.

    Team Webpage

    Publications

    H. Cho, B. Shbita, K. Shenoy, S. Liu, N. Patel, H. Pindikanti, J. Lee, and J. May. (2021). Viola: A Topic Agnostic Generate-and-Rank Dialogue System. In Proceedings of the 4th Alexa Prize

    Link · Paper

  • Python PyTorch TTL/RDF Deep Learning Machine Learning Knowledge Graphs NLP Conversational Bot
  • Augmenting Conversational Dialogue Datasets with Commonsense and Adaptive Local Knowledge
    with Hyundong Cho
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  • Designed a dialogue dataset augmentation framework to expand multi-turn dialogue systems to incorporate external knowledge sources and ground pre-trained language models with commonsense reasoning.
    Project conducted as part of the 'CSCI 662: Advanced Natural Language Processing' class.

    Paper

  • Python PyTorch TTL/RDF Deep Learning Machine Learning Knowledge Graphs NLP Conversational Bot
  • Robust Defense Against Lp-Norm-Based Attacks by Learning Robust Representations
    with Iordanis Fostiropoulos, and Myrl Marmarelis
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  • Investigated the vulnerablity of image classifiers to adversarial perturbations and proposed a new regularization objective based on the Euclidean distance between classes in the hypothetical latent space found in the features of the penultimate layer.
    Project conducted as part of the 'CSCI 699: Adversarial Machine Learning' class.

    Paper

  • Python PyTorch Deep Learning Machine Learning Security
  • Music Latent Representation and Disentanglement for Genre Classification
    with Ehsan Qasemi, Binh Vu, and Minh Pham
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  • Investigated the use of unsupervised representation learning techniques to compress musical samples into a low-dimensional representation and use it for the task of music genre classification.
    Project conducted as part of the 'CSCI 699: Representation Learning: Theory and Practice' class.

    Paper

  • Python PyTorch Deep Learning Machine Learning Information Theory
  • Marvel and DC-Comics comic-books Knowledge Graph
    Supervisors: Prof. Pedro Szekely, Dr. Jay Pujara (University of Southern California)
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  • Planned, designed, implemented and deployed a knowledge graph which captures Marvel and DC-Comics brands comic-book characters, comic-book issues and movies.
    Project conducted as part of the 'INF 558/CSCI 563: Building Knowledge Graphs' class.

    Report · Slides · Demo · Code

  • Python TTL/RDF Knowledge Graphs Information Integration
  • IPoIB Router in the Switch-X Product Family: from Firmware Design to Implementation of the Verification Environment and the Debug Tools
    under direction of Mr. Ami Marelli (Mellanox Technologies)
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  • Executed an implementation and verification process of the IPolB Router firmware mechanism in the Switch-X IC, a Switch System Silicon designed by Mellanox Technologies.
    The development was done in the firmware layer using different methods and tools, according to the company’s required methodologies.

  • C C++ Python OOP RTOS Computer Networks Embedded Software
  • Physical Design of 12-bit Two's Complement Adder
    Supervisors: Prof. Yosi Shacham, Mr. Avi Efrati (Tel Aviv University)
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  • The project included hierarchical layout design, floorplanning, manual estimations and full layout simulations.
    The Design was implemented using the 90nm Generic Process Design Kit (gpdk090) Technology and the gsclib090 library and was designed in Assura Virtuoso software.
    Project conducted as part of the 'Introduction to VLSI design' course.

  • PSpice Virtuoso CAD VLSI
  • Logic Design of Full Simplified DLX using FPGA
    Supervisors: Mrs. Liron David, Mr. Marko Markov (Tel Aviv University)
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  • This project includes hardware design, implementation and debugging of a simple RISC processor (including data and control planes) on an FPGA development platform.
    Used Xilinx software package and RESA software suite to code schematic and hardware description language (VHDL) designs and conduct logical simulations.
    Project conducted as part of the 'Advanced Computer Structure Lab' course.

  • VHDL Assembly FPGA
  • Kiosk Management: A Thesis in Systems Design and Programming with Web Services
    Supervisor: Mrs. Inessa Bolotin (Israel Arts and Science Academy)
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  • A user-friendly website for product purchasing.
    The application features different levels of users and managers and enables them to view and add products to the catalog, prepare supplier-report and closely monitor expenses and revenues.
    The system was used during senior high school year to raise money for students.

  • C# ASP.NET JS CSS Web Fullstack
  • Improving Text-Independent Speaker Identification Performance Using Gaussian Mixture Speaker Models
    under direction of Dr. David Palmer (HP Autonomy)
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  • Studied Statistical Natural Language Processing, Automatic Speech Recognition and Machine Learning. Performed model training and testing with Python.
    The research was conducted as part of the Research Science Institute (RSI), an intensive six-week program under sponsorship of the Center for Excellence in Education and hosted by the MIT.

    Paper

  • Python Machine Learning NLP

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