Slides & Talks

B.Sc. Courses:

• CE2616044 – Advanced Topics in Computing
• CE2616023 – Data Structure
  • Algorithm Analysis
  • Array
  • Stack
  • Queue
  • Linked List
  • Tree
  • Graph
• CE2616011 – Algorithms: Design and Analysis
  • Algorithm Analysis
  • Divide & Conquer
  • Dynamic Programming
  • Greedy
  • Backtracking
  • Branch & Bound
  • NP
• CE2616055 – Principles of Database Design
  • Chapter 1: Database Management Systems
  • Chapter 2: The Entity-Relationship Model
  • Chapter 3: The Relational Model
• Natural Language Processing
  • Introduction
  • Text Processing
  • Minimum Edit Distance
  • Vectors and Embeddings (Slides | Video)

M.Sc. Courses:

• CE2616249 – Parallel Programming
• CE2616047 – Distributed Systems
  • Introduction
  • System Architectural Models
  • Naming
  • Communications
• CE2616046 – Ubiquitous and Autonomous Computing
• CE2616049 – Advanced Algorithms
  • Approximation Algorithms
  • Randomized Algorithms
• Software Architecture
  • Quality Attributes
• Introduction to Internet of Things (IoT)

Talks:

• Extracting Drug-Related Tweets in COVID-19 Pandemic
• Trustable Mobile Crowd Sourcing for Acquiring Information from a Flooded Smart Area
• Investigating the Impact of COVID-19 on  Education by Social Network Mining (Farsi, English)
• Analyzing the Impact of COVID-19 on Economy from the Perspective of User’s Reviews (English MP4)
• Extracting Major Topics of COVID-19 Related Tweets (English MP4, Farsi MP4)
• Information Gathering of Earthquake Disasters by Mobile Crowd Sourcing in Smart Cities (Farsi MP4)
• Context-aware Healthcare Systems
• Structure of a Research Paper
• Processing Images of the Schlieren System
• Pervasive & Ubiquitous Computing: from Past to Present
• Social Internet of Things
• User Preference Extraction by Sentiment Analysis
• Extracting User Food Preferences by Sentiment Analysis (FLV/MP4)