Research Groups
Electrical Power Engineering
Electrical power research group emphasizes all aspects of electrical energy for the simplification of technological issues as well as for the solution of societal problems pertaining to technology. The research area mainly includes electrical energy distribution and management, renewable energy and power system protection. The group is involved in optimization of smart grid, applications of telecommunication in smart grid and smart grid energy management at distribution level. Moreover, some of the group members also undertake research in grounding of power substation. The research in the area of grounding system mainly involves topology detection, fault diagnosis, and design of substation grounding grid. Recently we have started working on fault diagnosis of grounding grid by using Electrical Impedance Tomography. This work will introduce the application of electrical impedance tomography in power engineering. A number of master and PhD students are also engaged with the research group in carrying out their research. The group has a number of publications in international journals and conferences. Please feel free to browse through the faulty profiles to find out more.
Areas of Research
- Electrical Power Distribution
- Power System Protection and Control
- Smart Grid Resources Optimization
- Smart Grid Operation and Control
- Energy Management in Smart Grid
- Green Energy
- Distributed Energy Generations and Smart Grid
- Grid Grounding
- Fault detection/localization in underground Cables
Team Leader: Dr. Muhammad Iqbal
Members:
Dr. Aamir Qamar
Dr. Muhammad Naeem
Dr. Ayaz Ahmad
Dr. Mushtaq Ahmad Bhatti
Engr. Sadiq Ahmad
Engr. Bilawal Behram
‘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. Muhammad Altaf
Dr. Muhammad Naeem
Dr. Muhammad Iqbal
Dr. Ayaz Ahmad
Dr. Ashfaq Ahmed
Dr. Zeeshan Kaleem
Dr. Omer Chughtai
Dr. Mushtaq Ahmad Bhatti
Dr. Umer Javed
Mr. Fasih ur Rehman
Dr. Farooq Alam Orakzai
Dr. Zahooruddin
Engr. Maliha Amjad
‘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. Tallha Akram
Members:
Dr. Nadia Nawaz Qadri
Dr. Muhammad Altaf
Dr. Sajjad Ali Haider
Dr. Syed Rameez Naqvi
Dr. Muhammad Kamran
Dr. Muhammad Ashfaq
Dr. Zeeshan Kaleem
Mr. Fasih-ur-Rehman
Engr. Kamran Fiaz
Engr. Sidra Naeem
‘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. Ashfaq Ahmed
Dr. Nadia Nawaz Qadri
Dr. Masood Sarfaraz
Dr. Muhammad Awais
Engr. Amna Mehboob
Engr. Kamran Fiaz
Engr. Ali Roman