Exploiting Context in Cartographic Evolutionary Documents to Extract and Build Linked Open Spatio-Temporal Data
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
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)
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
Extracting and Interpreting Time Series for Causal Discovery
Shbita, B., Rajendran, A., Pujara, J., & Knoblock, C. A. (2019). Parsing, Representing and Transforming Units of Measure. In Modeling the World’s Systems
Scientific Model Integration through Knowledge-Rich Data and Process Composition
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)
An open-domain dialogue system for spoken conversation that uses a topic-agnostic dialogue manager based on a simple generate-and-rank approach.
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
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.
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.
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.
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.
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.
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.
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.
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.
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.