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Computer Science and Engineering

Research Categories

Computer Science and Engineering

This category covers:

  • Artificial Intelligence
  • Audio
  • Computer Graphics and Visualization
  • Computer Network - Cross Layer Mobility
  • Computer Security
  • Computer Vision
  • Data Mining and Machine Learning
  • Databases
  • Distributed Systems
  • High Performance Computing
  • Human Computer Interaction
  • Information Retrieval
  • Intelligent Agents
  • Intelligent Robotics and Control
  • Mobile Media
  • Modeling and Simulation
  • Multimedia Understanding
  • Service Computing
  • Speech and Signal Processing
  • Wireless & Smart Sensor Systems

Related Links:
Centre for Computational Intelligence (C2i)
Centre for Advanced Media Technology (CAMTech)
Centre for Multimedia and Network Technology (CeMNet)
Interaction and Entertainment Research Centre (IERC)

NameResearch Interests
Assoc Prof A S MadhukumarModulation and multiple access schemes for future broadband systems Advanced signal processing algorithms for wireless communication systems Cognitive radio systems: algorithms and architectures Cooperative Radio Systems for Mobile multi-hop networks Ultra wideband radio systems for wireless personal area networks
Asst Prof Abdulkadir C. Yucel(i) Fast frequency and time domain electromagnetic simulators with applications to the VLSI/microwave/terahertz circuits, biomedical, photonics, wireless channel characterization, and analysis of highly inhomogeneous media. (ii) Applications of machine learning, deep learning, and uncertainty quantification techniques to the electromagnetics and radar
Assoc Prof Alexei SourinShape modeling, shared virtual environments, haptic interaction, new user interfaces, 3D web visualization, virtual surgery, scientific visualization, music visualization.
Prof Alois C KnollDue to the major involvement in the Human Brain Project HBP, a European flagship project, over the last years his research focus has shifted more and more towards neurorobotics. With the neurorobotics platform, a sophisticated tool has been created that will allow both basic researchers in neuroscience and engineers in robotics to integrate their latest insights in theory and practice into fully operational applications for research and development. It can be expected that this platform will serve as a productivity booster both for virtual neuroscience and robotics. • Multimodal human-robot interaction • Neurorobotics • Sensor, sensor data processing, sensor fusion • Medical robotics • Natural-Language based retrieval and fusion of multimedia information • Intelligent/Autonomous vehicles and multimodal mobility concepts
Dr Althea LiangTwo-way and multi-way data analytics and middleware support for Web Services, cloud computing AI and machine learning and its applications in service and cloud computing and supporting frameworks
Assoc Prof Andy Khong Wai HoongMicrophone array signal processing Speech enhancement Learning analytics Machine learning algorithms for NLP applications
Assoc Prof Anupam ChattopadhyayComputing Architecture Design Automation Security Emerging Technologies
Assoc Prof Anwitaman DattaMy research interests span the topics of large-scale resilient distributed systems, information security and applications of data analytics. Some of my distinctive and pioneering research contributions which have preceded and influenced new lines of research in respective research communities include: (i) decentralized online social networks for privacy and censorship resistance, (ii) novel erasure codes tailor made for distributed storage systems --- self-repairing (locally repairable) erasure codes, erasure codes with elastic redundancy, and codes exploiting cross-version sparsity to efficiently store multiple versions of data, and (iii) the application of machine learning and stereotyping to computational trust. I have also contributed to well established research topics, spanning security and privacy, distributed data stores, collaborative systems, social network analysis, decision support applications and cryptocurrency forensics.
Asst Prof Arijit KhanBig-graphs management and analytics, with a focus on user-friendly, online querying and pattern mining in social and information networks, using scalable algorithms and machine learning techniques. keywords: big-graphs, big-data, graph-systems, knowledge graphs, uncertain graphs, graph streams, databases, data mining, machine learning, algorithms.
Assoc Prof Arvind EaswaranCyber-Physical Systems (CPS) encompass systems in which the cyber world of computation and communication closely interacts with the physical world of sensors and actuators. These are highly networked and deeply embedded systems such as those found in modern day aircrafts, automotives, factories, medical devices, smart phones, electric grids, etc. From driver-less cars and air traffic management using sense and avoid, to plug-and-play operating rooms and smart electric grids that integrate traditional and renewable energy sources, intelligent automation of an enormous scale is finding its way into many of these systems. Current interests of the CPS Research Group @SCSE,NTU are in the design of cyber-infrastructures for CPS, especially for systems with time-critical functionalities (i.e., real-time systems). The research themes can be broadly classified as follows: Real-Time Systems Model-based Design Methodologies Energy Management