Md Abu Sayed
  • Bio
  • Papers
  • Talks
  • News
  • Experience
  • Projects
  • Teaching
  • Recent & Upcoming Talks
    • Example Talk
  • Publications
    • NavySim 2.0: Enhanced Multi-Vessel Simulation and Analysis Engine for Advanced Naval Research
    • Early Classification of Intentions for Maritime Domains Using Deep Learning Model
    • Feature-aware Deep Learning for Maritime Intent Recognition
    • Feature-Aware Deep Learning for Maritime Intent Recognition
    • Proactive Maritime Threat Prediction: Vessel Intent Classification with LSTMs and Transformers Using a Sliding Window Approach
    • NavySim: A Multi-Vessel Simulation and Analysis Engine for Naval Domains
    • Keep Sailing: An Investigation of Effective Navigation Controls and Subconscious Learning in Simulated Maritime Environment
    • RAM: Resource Allocation for Multi-agent Maritime Environment
    • Threatmap: A Framework for Enhancing Security Awareness and Decision-Making for Naval Agents
    • Maritime Dynamic Resource Allocation and Risk Minimization Using Visual Analytics and Elitist Multi-Objective Optimization
    • An innovate approach for retinal blood vessel segmentation using mixture of supervised and unsupervised methods
    • A semi-supervised approach to segment retinal blood vessels in color fundus photographs
    • Retinal blood vessel segmentation: A semi-supervised approach
    • An example journal article
    • An example preprint / working paper
  • Teaching
    • CS 422/622: Introduction to Machine Learning
    • CS 477/677: Analysis of Algorithms
    • Artificial Intelligence & Neural Networks
    • Data Structures
    • Structured Programming
  • Experience
  • Projects
    • Role Shifting in Human–Robot Collaboration
    • Intent Recognition for Maritime Autonomy
    • Generative Sequence Modeling for Maritime Behaviors
    • NavySim: Multi-vessel Simulation Engine
    • ThreatMap: Maritime Situational Awareness
  • Projects
  • Blog
    • 🎉 Easily create your own simple yet highly customizable blog
    • 🧠 Sharpen your thinking with a second brain
    • 📈 Communicate your results effectively with the best data visualizations
    • 👩🏼‍🏫 Teach academic courses
    • ✅ Manage your projects
  • CS 422/622: Introduction to Machine Learning
  • CS 477/677: Analysis of Algorithms
  • Artificial Intelligence & Neural Networks
  • Data Structures
  • Structured Programming
Teaching
Artificial Intelligence & Neural Networks

Artificial Intelligence & Neural Networks

Covered uninformed/informed search, constraint solving, basic probabilistic reasoning, and feedforward/convnet basics. Created projects that paired algorithm design with experiments and written analysis.

Last updated on Jul 31, 2021
← CS 477/677: Analysis of Algorithms Jan 15, 2025
Data Structures Jul 31, 2021 →

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