Research Groups
Communication and Networks
The telecommunications research group undertakes research and development in current and future communications networks. The research group brings together multi-disciplinary researchers in the general area of telecommunication and networking including wireless systems, multimedia processing, cognitive radio networks, self-organizing, ad hoc and sensor network, smart grid and optical network. In addition, the group has a keen interest on the protocols, algorithms, architectures and systems that can provide dramatic improvements in these and other applications for wireless sensor networks, mobile ad hoc networks, cognitive radio sensor network, heterogeneous networks, peer to peer network and mobile access to cloud computing resources. We have a number of publications in international journals and conferences. Please feel free to browse through our faculty profiles to find out who we are, what research we do and courses and research training opportunities we offer
Areas of Research
- Wireless Communication and Signal Processing
- Self-organizing Networks
- Ad Hoc and Sensor Networks
- Cognitive Radio Sensor Networks
- Image, Video and Multimedia streaming
- Applied Optimization
- Smart Grid
- Peer to Peer Networks
- Vehicular Ad hoc Networks/V2X
- Flying Ad hoc Networks
- D2D/M2M
- Massive MIMO
- Blockchain
- Data Science in Communication
Team Leader: Dr. Nadia Nawaz Qadri
Members:
Dr. Umer Javed
Dr. Maliha Amjad
Engr. Amna Mehboob
Dr. Adeel Akram
Computer Vision and Machine Intelligence
Recent technologies based on artificial intelligence are shaping the world, which motivate the team to divert their research towards intelligent solutions utilizing different techniques, including artificial neural networks, deep learning, fuzzy systems and optimization techniques. The Computer Vision and Machine Intelligence Group investigates and develops various tools and techniques for analyzing and modeling visual data, with an aim to propose novel solutions to different challenges. Typical research problems are, for example, object detection, motion estimation and tracking, and visual scene understanding. In addition, the group investigates automatic control and disturbance estimation in industrial systems.
Areas of Research
The research activities of the group primarily comprise the following.
- Machine Learning
- Subspace clustering and shape understanding
- Unsupervised/Supervised segmentation of natural images
- Real time and multi-view action recognition
- Pedestrian detection and tracking
- Natural language processing
- Bio-medical image analysis
- Adaptive and incremental learning
- Intelligent resource management
- Design of hardware accelerators for computer vision applications
- System modeling and intelligent control
- Estimation of physical properties for nanostructured superconducting films
Team Leader: Dr. Talha Akram
Members:
Dr. Nadia Nawaz Qadri
Dr. Sajjad Ali Haider
Dr. Syed Rameez Naqvi
Dr. Muhammad Kamran
Advanced Digital Design (ADD) group
The Advanced Digital Design (ADD) research group is established under the umbrella of Electrical Engineering Department of COMSATS Institute of IT, Wah. This group is involved in the design of high performance digital systems (satisfying area, speed and power metrics) for a vast range of applications. The research activities of this group span all levels of abstraction including high level description and HDL design, functional verification and simulation, bit true software modeling and FPGA prototyping, physical layout and placement. The research activities are targeted for a number of key applications i.e. signal processing, control, advanced video coding, forward error correction for next generation communication standards, In addition, the group is also involved in research on formal verification and asynchronous digital design.
Areas of Research
The faculty and graduate students at ADD research group are involved in the broad range of research activities. The ADD group activities fall under the following major research areas.
- Embedded systems and hardware/software co-design
- HDL IP Core development and FPGA prototyping of digital systems
- VLSI design for ASICs
- Design of low power asynchronous digital circuits
- Formal verification methods
- High performance digital architectures for advanced channel coding algorithms especially, LDPC and Turbo channel decoders
- Digital architectures of advanced video coding standards
- Digital design for beyond CMOS technologies in particular, the Quantum dot Cellular Automata (QCA) technology
- Design of ultra-low power reversible circuits for various applications
Team Leader: Dr. Wilayat Khan
Members:
Dr. Rameez Naqvi
Dr. Nadia Nawaz Qadri
Dr. Muhammad Awais
Engr. Kamran Fiaz
Engr. Ali Roman