Ahmed Farahat
Ahmed Farahat publishes mostly in Artificial Intelligence, Computational Mechanics and Computer Vision and Pattern Recognition, on topics such as Anomaly Detection Techniques and Applications, Sparse and Compressive Sensing Techniques and Adversarial Robustness in Machine Learning.
- World rank
- #1,215,859 of 1,633,909 ranked researchers
- Rank in United States
- #298,184 of 358,040
- Works
- 16
- Citations
- 31
- Citations per work
- 1.9
What does Ahmed Farahat research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence38% of their works
- 2Computational Mechanics12% of their works
- 3Computer Vision and Pattern Recognition12% of their works
- 4Computer Networks and Communications6% of their works
- 5Signal Processing6% of their works
- 6Industrial and Manufacturing Engineering6% of their works
Research topics
- Anomaly Detection Techniques and Applications
- Sparse and Compressive Sensing Techniques
- Adversarial Robustness in Machine Learning
- Explainable Artificial Intelligence (XAI)
- Machine Learning and Data Classification
- Stochastic Gradient Optimization Techniques
- Network Security and Intrusion Detection
- Video Analysis and Summarization
Which keywords describe Ahmed Farahat's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Anomaly Detection, Convex Optimization, Compressed Sensing, Deep Neural Networks, Machine Learning and Outlier Detection.
- Video Summarization
- Robustness
- Noisy Labels
- Machine Learning Interpretability
- Interpretable Models
- Content-Based Retrieval
- Unsupervised
- Outlier Detection
- Deep Neural Networks
- Convex Optimization
- Neural Networks
- Deep Learning
- Anomaly Detection
- Compressed Sensing
- Machine Learning
- Sparse Representation
- Adversarial Examples
- Hyperparameter Optimization
- Intrusion Detection
- Network Security
- Random Projections
- Stochastic Gradient Descent
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.
All 22 words, with their numbers
- Deep Learning54 topics
- Neural Networks43 topics
- Anomaly Detection32 topics
- Convex Optimization32 topics
- Compressed Sensing21 topic
- Deep Neural Networks22 topics
- Machine Learning22 topics
- Outlier Detection21 topic
- Sparse Representation21 topic
- Unsupervised21 topic
- Adversarial Examples11 topic
- Content-Based Retrieval11 topic
- Hyperparameter Optimization11 topic
- Interpretable Models11 topic
- Intrusion Detection11 topic
- Machine Learning Interpretability11 topic
- Network Security11 topic
- Noisy Labels11 topic
- Random Projections11 topic
- Robustness11 topic
- Stochastic Gradient Descent11 topic
- Video Summarization11 topic
Where does Ahmed Farahat work?
Ahmed Farahat's main affiliation in the publication record is Hitachi Global Storage Technologies (United States), United States.
How many publications and citations does Ahmed Farahat have?
Science Explorer counts 16 works and 31 citations for Ahmed Farahat, ranking #1,215,859 of 1,633,909 researchers worldwide on the composite score.
Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics are in the interactive view on the map. Is this your page? Request a correction or removal.