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Parth Ganeriwala

Ph.D. in Computer Science

Bio

Parth Ganeriwala is a Ph.D. student in Computer Science at Florida Tech, navigating the intricate world of Transfer Learning and trying to teach machines the subtle art of “been there, done that.” His research dives into how AI models can not only learn new tasks but also generalize that learning—because, apparently, machines have as much trouble with new environments as humans with Wi-Fi passwords. His thesis, “What is Common Knowledge Across Domains?”, is essentially a deep dive into the question: Can we get machines to carry over their skills from one domain to another without acting like it’s their first day all over again?.

In the ASSIST Lab, Parth is working on projects that test the limits of knowledge transfer, applying Transfer Learning to autonomous navigation, IoT security, and cognitive architectures. One of his latest datasets, AssistTaxi, helps autonomous systems identify taxiways accurately, turning a well-worn machine into a cross-environment pro. Parth’s published works cover everything from the system modeling of IoT to lane detection for self-driving cars, each aiming to make AI as adaptable as it is “intelligent.” And when he’s not coaxing AI to recycle its insights, he’s unraveling ancient scripts with few-shot learning, solving sudoku puzzles, or proving his Nintendo Switch is still no match for him.

Current Research Topic Interest:

Transfer Learning, Cognitive Architectures, Computer Vision, Formal Methods, ML, DL, FSL

Education

Papers under Review
  • CSADL++: A Formal Language for IoT Interaction Modeling - IEEE Systems Journal
  • FLAIR: A Foundation Model for Grapheme Recognition in Ancient Scripts with Few‑Shot Learning - ICLR ‘ 2025
  • Systems Engineering with Architecture Modeling, Formal Verification and Human Interactions for Learning-Enabled Autonomous Agent - INCOSE Systems Journal
Certification / Awards / Recognitions received
  • 2022 ASME CIE Student Poster Award for poster titled “Natural Language Processing to Model Based Systems Engineering in the Architecture Analysis and Design Language (AADL)
  • First place in the TAPIA 2023 Poster Session for the project titled "Cross Dataset Analysis and Network Architecture Repair for Autonomous Vehicle Lane Detection.
  • Best Student Paper Award in Computing Conference 2022 for the research on "Modeling Internet-of-Things (IoT) Behavior for Enforcing Security and Privacy Policies."
  • Inducted in the Upsilon Pi Epsilon Honors Society in 2023. 

Published Research Papers:

  1. Toward Generating System Architecture and Formal Functional Description in the Architecture Analysis & Design Language (AADL) With Structured Natural Language - 2022 - ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference 
  2. Modeling Internet-of-Things (IoT) Behavior for Enforcing Security and Privacy Policies - 2022 - Computing Conference 2022 
  3. Functional Reasoning of System Architecture in the System Modeling Language (SysML) With XML Representation - ASME 2023 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference 
  4. Cross Dataset Analysis and Network Architecture Repair for Autonomous Car Lane Detection - 2023 IEEE Intelligent Vehicles Symposium (IV)
  5. IPAssess: A Protocol-Based Fingerprinting Model for Device Identification in the IoT - 2023 IntelliSys
  6. Assuring Learning-Enabled Increasingly Autonomous Systems - 2023 IEEE International Systems Conference (SysCon)
  7. Automated Framework to Extract Software Requirements from Source Code - NLPIR '23: 2023 7th International Conference on Natural Language Processing and Information Retrieval
  8. Towards Knowledge Extraction and Parsing of XML Metadata for SysML System Architecture Modeling -  2023 IEEE 14th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)
  9. AssistTaxi: A Comprehensive Dataset for Taxiway Analysis and Autonomous Operations 2023 International Conference on Machine Learning and Applications (ICMLA)
  10. ALINA: Advanced Line Identification and Notation Algorithm - 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops
  11. Exploring Machine Learning Engineering for Object Detection and Tracking by Unmanned Aerial Vehicle (UAV) - ICMLA ’24 - 2024 - Accepted for Presentation in December