Communication and Signal Processing
Communication and Signal Processing
The field of Communication and Signal Processing within the Electrical and Electronic Engineering department is a dynamic and essential area of study, intricately woven into the fabric of the 4th industrial revolution. In this context, it plays a pivotal role in modern technology-driven societies where the convergence of digital innovations, artificial intelligence, and the Internet of Things (IoT) has become the norm.
Researchers in Communication and Signal Processing not only focus on the design, analysis, and optimization of communication systems, but also actively contribute to the seamless integration of AI and IoT. They spearhead the development of cutting-edge communication technologies, such as wireless networks, optical communication systems, and satellite communication, to support the burgeoning IoT ecosystem. These advancements enable smart devices to communicate intelligently and efficiently, forming the backbone of the interconnected world.
At the heart of this research lies signal processing, a foundational element in harnessing the potential of AI. Signal processing techniques, including noise reduction, data compression, and pattern recognition, underpin the capabilities of AI systems, enabling them to make sense of complex data streams generated by IoT devices. This synergy between Communication and Signal Processing, AI, and IoT drives innovation in diverse fields, from autonomous vehicles and industrial automation to healthcare diagnostics and smart city development.
List of Faculty Members with Primary Affiliation
Dr. Md. Saifur Rahman
Professor- Telecommunication Engineering
- Digital Signal Processing
- Quantum Communication
- Engineering Electromagnetics
- Renewable Energy Systems Design
- Embedded Systems Design
Dr. Pran Kanai Saha
Professor
Dr. Md. Kamrul Hasan
Professor- Digital Signal Processing
- Medical Imaging
- Quantitative Ultrasound
- Biomedical Signal Processing
- Machine Learning
Dr. Md. Aynal Haque
Professor- Biomedical Signal Processing
- Biomedical Image Processing
- Biomedical Instrumentation
Dr. Md. Shah Alam
Professor
Dr. Mohammed Imamul Hassan Bhuiyan
Professor- Statistical modeling of signal-images and video
- Multi-resolution transform-based algorithms for image and video processing-SAR image processing
- Biomedical signal and image processing and biomedical imaging
- Brain computer interface-Biometrics
- Machine learning and deep neural networks
- Signal processing in genomics-telecommunication-control and power systems
- Sensor applications in photonics
Dr. Shaikh Anowarul Fattah
Professor
Dr. S. M. Mahbubur Rahman
Professor
Dr. Celia Shahnaz
Professor- Signal processing-pattern recognition-and machine and Deep learning for audio-video-biomedical and power signals
- Biomedical Signal Processing
- Control systems-Robotics-automation and Intelligent Systems
- Speech analysis and Speech enhancement
- Multimodal emotion recognition
- Audio-visual recognition for biometric security
- Multimedia communication
- Digital watermarking for security
- Smart grid and renewable energy
- Humanitarian and Assistive Technology
Dr. Mohammad Ariful Haque
Professor- Deep learning
- Digital signal processing
- Automatic speech recognition
- Natural language processing
- Robotics and automations
Dr. Mohammad Faisal
Professor- Optical Fiber Communication
- Photonic wavegude and Optical Sensor
- THz waveguide and THz Sensors
- FSO communication
- Ultrafast optics
Dr. Md. Forkan Uddin
Professor- Wireless and Optical Communication
- Wireless Networking
- Smart Grid Communication
- Internet-of-Things
- Demand Response in Smart Grid
Dr. Lutfa Akter
Professor- Cognitive Radio Networks
- Wireless Sensor Deployment
- WCE localization
- Internet-of-Everything
- Resource Allocation
Dr. Hafiz Imtiaz
Professor- Machine learning
- Distributed optimization
- Privacy preserving computation
- Decentralized computation
Dr. Md. Asiful Islam
Associate Professor
Dr. Maruf Ahmed
Assistant Professor- Magnetic resonance imaging (MRI)
- Quantitative susceptibility mapping (QSM)
- Neuroimaging of Alzheimer�s disease
- Biomedical imaging and signal processing