What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- The Internet
- Computer network
The scientist’s investigation covers issues in Multimedia, Haptic technology, Artificial intelligence, Computer vision and Web service.
His research integrates issues of User interface, XML, Computer graphics and Augmented reality in his study of Multimedia.
The Haptic technology study combines topics in areas such as Interpersonal communication and Human–computer interaction.
His study in the field of Orientation, Interaction technique and Object also crosses realms of Mobile search and Accelerometer.
His work on Eye tracking as part of general Computer vision research is frequently linked to Trilateration, bridging the gap between disciplines.
His Web service research incorporates themes from Home automation, The Internet and Service.
His most cited work include:
- Multimodal fusion for multimedia analysis: a survey (678 citations)
- C2PS: A Digital Twin Architecture Reference Model for the Cloud-Based Cyber-Physical Systems (232 citations)
- Toward Social Internet of Vehicles: Concept, Architecture, and Applications (207 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Multimedia, Haptic technology, Artificial intelligence, Human–computer interaction and World Wide Web.
His work carried out in the field of Multimedia brings together such families of science as User interface and Visualization.
His Haptic technology study combines topics in areas such as Modality and Quality of experience.
His studies deal with areas such as Machine learning, Computer vision and Pattern recognition as well as Artificial intelligence.
Abdulmotaleb El Saddik studies Human–computer interaction, focusing on Virtual reality in particular.
His research on World Wide Web often connects related areas such as Information retrieval.
He most often published in these fields:
- Multimedia (30.02%)
- Haptic technology (20.48%)
- Artificial intelligence (19.48%)
What were the highlights of his more recent work (between 2017-2021)?
- Artificial intelligence (19.48%)
- Pattern recognition (3.98%)
- Multimedia (30.02%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Artificial intelligence, Pattern recognition, Multimedia, Data science and Haptic technology.
He interconnects Machine learning and Computer vision in the investigation of issues within Artificial intelligence.
His research investigates the connection between Multimedia and topics such as Domain that intersect with issues in Task and Sentiment analysis.
His research in Data science intersects with topics in Similarity, Metadata and Measure.
Abdulmotaleb El Saddik combines subjects such as The Internet and Physical medicine and rehabilitation with his study of Haptic technology.
His The Internet research integrates issues from Virtual reality and Human–computer interaction.
Between 2017 and 2021, his most popular works were:
- Digital Twins: The Convergence of Multimedia Technologies (129 citations)
- Edge Caching and Computing in 5G for Mobile AR/VR and Tactile Internet (40 citations)
- Technical Evaluation of HoloLens for Multimedia: A First Look (37 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- The Internet
- Computer network
His primary scientific interests are in Artificial intelligence, Pattern recognition, Deep learning, Multimedia and Convolutional neural network.
His work is dedicated to discovering how Artificial intelligence, Computer vision are connected with Detector and other disciplines.
His biological study spans a wide range of topics, including Word error rate, Fingerprint, Fingerprint recognition, Minutiae and Authentication.
His Deep learning research includes elements of Optical flow, Optical flow estimation, Artificial neural network and Adaptive optics.
With his scientific publications, his incorporates both Multimedia and Convergence.
His Convolutional neural network study also includes
- Feature extraction which intersects with area such as Estimation, Benchmark, Consistency, Face and Recurrent neural network,
- Ground truth which is related to area like Algorithm, Supervised learning, Motion estimation and Flow.
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