This research group is aimed at bringing in future technologies. Current research involves power efficient high performance computing, Big data analytics, traffic engineering in data Center networks, amplification of MEMS based micro-gripper and advanced encryption/decryption schemes for data security.

The focus of this research group centers around the synthesis and design of microwave and millimeter wave devices, encompassing a range of components such as Antennas, Filters, Multiplexers, and Power Amplifiers. Additionally, a primary research area of interest within this group revolves around the development of body antenna systems specifically tailored for low-powered wireless medical devices. Furthermore, the group is actively engaged in the design of innovative multilayer microstrip structures for antennas and filters.

Computer and Information Science (CIS) is a research group that aims at advanced technologies to automate the processes such as automatic security systems and non-invasive disease diagnosis using artificial intelligence. Moreover, CIS’s research scope also includes green computing, power-efficient computing architectures, and high-performance computing. Currently, ongoing projects aims at early diagnosis of chronic disease linked with vital body organs such as liver, lung, and kidney using Machine Learning/Deep Learning, Non-invasive estimation of Blood glucose level and Blood Pressure using PPG signals, design and development of digital stethoscope, and securing sensitive information such as medical and military-related images that requires the highest level of confidentiality particularly during transmission and storage.

Our research group specializes in developing cutting-edge signal processing algorithms for self-mixing laser interferometry (SMI) based sensing applications. We are focused on enhancing the accuracy and reliability of SMI sensors by implementing pre-processing techniques and retrieving critical information about optical feedback parameters. Our team is also dedicated to developing adaptive SMI sensors that can be applied in industrial or embedded settings. In addition to our work with optical sensors, we are committed to advancing the field of biomedical sensing by designing novel pre-processing techniques for all bio-potential signals. With a focus on innovation and collaboration, the SPOB Research Group is dedicated to advancing the frontier of signal processing for a variety of applications.

The Bio-Signal Processing group at Riphah International University investigates the use of signal processing and machine learning techniques for the analysis and classification of biomedical signals, with special emphasis on EEG, EMG, and ECG signals.

Biomedical instrumentation covers the area of design and development of devices that can detect and measure the physical quantity present in the body.

TBiomechanics is the study and application of physical laws on living organisms. It includes ergonomics, orthopedic biomechanics, sports mechanics, rehabilitation mechanics etc. The group of biomechanics has been involved in several research projects and led to publish numerous conference and journal articles of international repute.