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Owais Asif       ( Lab Engineer )

Cell: 0923345908059      Email: owais.asif@case.edu.pk

Educational Qualification:

Degree Specialization University Year
MS/Mphil Computer Engineering COMSATS University Islamabad 2020
Bachelor of Engineering Electronics Federal Urdu University Islamabad 2017


Work Experience:

Designation From To Company
Researcher 2017 2017 PSEB (Pakistan Software Export Board)


Research Interest:

Title Description
Control Systems, Embedded Systems, Robotics, Industrial Automation Design of PID controller both in the time domain and state-space method (pole placement) using MATLAB and Arduino for optimum response. Working on a PLC and SCADA based system for automation of different processes such as "Reverse Osmosis for Water Purification Plant" and "Automatic Liquid Mixing and Filling Plant". Factory Automation Tool is also used for designing the model of a system.
Artificial Intelligence, Deep Learning, ANN, Computer Vision Working on deep learning models such as CNN and RNN models for classification of images, object recognition (facial recognition) , 3d CNN for video data analysis, speech recognition, generative adversarial network (GAN) for data synthetic (generation) and using CNN & RNN for spatio-temporal problems.
Internet of Things, Networking Working on Software Defined Networking for IoT to enhance the security and performance of the system.
Congitive Science, Digital System Design Working on how we think and how thought is generated in our mind, simply the algorithm of our brain. Design of efficient hardware for artificial intelligence algorithm (CNN, RNN, SVM etc)


Honors & Awards / Projects:

Year Awarding Organization Description
2017 FUUAST Autonomous Medication Dispensing Machine is a type of robot which can automatically provide medicines to the patient’s bed on specified time. The GUI (Graphical User Interface) is used to set the patient name, bed number and time. If the specified time matches with the real time then the command can be generated from GUI, which can be sent wirelessly to the robot. After receiving the command, robot autonomously moves to the specified bed and give medicines to the patient. The history of patient‘s medicines and time can be stored in our GUI database.
2019 COMSATS Crop Disease Detection and Diagnosis System Using Machine Learning Algorithm” for early identification of plants, fruits and crops diseases in order to maximize the total yield of our agriculture system. I have classify the healthy and diseased crops using machine learning algorithm like SVM (support vector machine), Logistic Regression, KNN (K-nearest neighbor) on the feature vector obtained by preprocessing the images dataset.
2018 CASE Automatic Liquid Mixing and Filling Plant using PLC and SCADA (for supervising and controlling the plant from remote location)



Organization Title From To
FUUAST Member of SIEF (Society of Innovative Electronics) 2016 2017


Courses Taught:

Control System
Digital System Design



5/19/2020 6:53:00 PM