top position in both the Electrical and Electronics departments at Pakistan's top engineering university, "University of Engineering and Technology, Taxila".
and Classification of Cardiovascular Disorders Objective: Develop an embedded system for detecting and classifying heart pathological murmurs using Phonocardiogram (PCG) signals. Significance: Heart sounds are pivotal for diagnosing cardiovascular disorders, offering valuable insights into cardiac abnormalities. Data Collection: Gather a diverse dataset comprising PCG recordings from various hospitals to train and validate the classification algorithm. Graphical Interface: Develop a user-friendly graphical interface to visualize the detection and classification results. System Implementation: Design the embedded system to be standalone, low-cost, and portable for ease of deployment in different healthcare settings. Future Implications: The developed system could aid healthcare professionals in early detection and diagnosis of cardiovascular disorders, potentially improving patient outcomes and reducing healthcare costs. This work has been published in Computational Intelligence (Wiley) an international journal
boost compressors in collaboration with AG Equipment Oklahoma USA Upgradation of Distributive control system form Yokogawa Centum 3000 to Centum VP and implementation of Anti- surge control system in collaboration with Yokogawa KSA.
(ML) • Artificial Intelligence (AI) • Internet of Things (IoT) devices • Sustainability & reliability in smart system design 1. Major trends in Smart System Integration: 2. My interest in SSIs programme: • I am keen to specialize in smart biomedical systems during the second semester of SSI, as it resonates deeply with my passion for applying technology to healthcare innovation • Machine Learning (ML) and Artificial Intelligence (AI) algorithms, as well as Sustainable Electronics, which are fundamental components of modern smart systems integration. • Opportunity to gain hands-on experience in Design for Reliability, Measurements and Characterization, and Manufacturing Processes for Smart Systems
technology and healthcare innovation • smart biomedical systems to revolutionize diagnostics, monitoring, and treatment in the medical field. • I aim to make meaningful contributions to the advancement of healthcare technology through research. 3. Research interests: 4. Future Plans • Industrial Internet of Things (IIoT) • Implementing advanced technologies AI & ML in factory automation for process optimization. • Development of advanced medical devices and systems that enhance diagnostics, monitoring, and patient care
tmiket
mfonobong
techseoconnect
bkeepers
jmmastey
matthewcrist
szymonslowik
samlambert
smashingmag
takai
lara
jdejongh
