• 15 Citations
  • 2 h-Index
20152019
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Personal profile

Personal profile

I am currently a lecturer in computer science with a particular interest in computer vision, Artificial Intelligence and affective computing. I lead on the delivery of lectures in Computing and AHEAD programmes and assist classes in Ethical Hacking and CGAD programmes.

I completed my undergraduate degree in computer science from Faculty of Computer and Information Sciences, Ain Shams University in Egypt. I became a teaching assistant for the same school in 2001 and did my masters there followed by my PhD in 2011.

I moved to Scotland in January 2017 when I joined Abertay as a lecturer for the School of Design and Informatics (SDI).

Teaching

I am module leader for

  • Application Design (CMP205): provide the student with the ability to review, develop, critically evaluate and implement designs in the contexts of object-oriented software and relational databases.
  • Access to Computing (AHD015): introduce fundamental computer science concepts including problem decomposition, algorithm development, engineering solutions.

I also co-deliver classes for

  • Artificial Intelligence (CMP304): provide the student with knowledge of how artificial intelligence techniques can be used effectively within an application environment to provide intelligence and/or the illusion of intelligence.
  • Data Structures and Algorithms 1 (CMP201): to familiarise students with the standard data structures and algorithms that underpin software design and development.
  • Data Structures and Algorithms 2 (CMP202): to develop computational and algorithmic thinking and show how data structures and algorithms are used efficiently in real-world applications.

Former teaching:

Prior to joining Abertay, I lead the design and delivery of some other modules: Introduction to Computers, Structured Programming, Object Oriented Programming, File Organization and Management, Programming in Logic for AI, Image Processing, Computer Vision, Game Design.

Research interests

Research for my masters thesis focussed on active image authentication and watermarking. My PhD research investigated passive blind image forensics for tamper detection. I also supervised research in cloud computing, parallel computing, and augmented reality.

A few years back, after watching Big Hero 6, I started researching the use of emotions in technology. Currently, I’m investigating the use of affective computing and human emotions in games to create a more believable playing experience. I'm also interested in computer vision, image processing and forensics, AI, and affective computing applications.

Esteem

Peer reviewer for the IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS) 2015.
Peer reviewer for the South African Institute of Electrical Engineers (SAIEE) Journal 2019.

Fingerprint Dive into the research topics where Salma Hamdy Elsayed is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Pattern recognition Engineering & Materials Science
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Face recognition Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2015 2019

  • 15 Citations
  • 2 h-Index
  • 8 Conference contribution
  • 5 Article
  • 1 Paper
  • 1 Conference article

Affective games: adaptation and design

Hamdy, S. & King, D. J., 20 Sep 2019, 20th International Conference on Intelligent Games and Simulation: GAME-ON'2019. Grigg, R. (ed.). Ostend: EUROSIS, p. 11-18 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Mechanics
Biofeedback
Learning systems
Feedback
Experiments

Affective games: a multimodal classification system

Hamdy, S. & King, D., 29 Aug 2018, GAME-ON'2018: 19th annual European Conference on Simulation and AI in Computer Games. King, D. (ed.). EUROSIS, 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Physiology
Animation
Classifiers
Sensors
Industry
1 Citation (Scopus)

Human emotion interpreter: a proposed multi-dimension system for emotion recognition

ElSayed, S., 2018, Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016. Bi, Y., Kapoor, S. & Bhatia, R. (eds.). Springer, Vol. 1. p. 922-931 10 p. (Lecture Notes in Networks and Systems; vol. 15).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Schematic diagrams
Health care
Pattern recognition
Feature extraction
Classifiers

Affect and believability in game characters: a review of the use of affective computing in games

ElSayed, S. & King, D. J., 24 Aug 2017, Game-On’17: the 18th International Conference on Intelligent Games and Simulation. Kehoe, J. (ed.). EUROSIS, p. 90-97 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Autonomous agents
Composite materials
16 Downloads (Pure)

An adaptive method for fully automatic liver segmentation in medical MRI-images

G. Mohamed, R., A. Seada, N., Hamdy, S. & Mostafa, M. G. M., 31 Dec 2017, In : International Journal of Computer Applications. 179, 4, p. 12-18 7 p.

Research output: Contribution to journalArticle

Open Access
File
Liver
Medical applications
Image analysis
Tomography
Degradation