Managing a team of Design Engineers working on a wide-variety of metrology problems

Algorithms, Image Processing, Optimization, Artificial Intelligence

Rectal tumor segmentation in MRI images with Deep Learning.Used tools: Python, Tensorflow, PyTorchFocus: Development of novel architechture and loss function and training networks to learn only from a few images.

My responsibilities include assisting module leaders for their undergraduate and graduate level courses, leading tutorial sessions, marking coursework and project reports. I have supported the following courses:Mathematics for Computing (Undergraduate)Advanced Database System (Undergraduate and Masters)Machine Learning (Undergraduate and Masters)Computer Vision (Undergraduate and Masters)

I have defended my PhD thesis in Medical Image Analysis and Machine Learning from City, University of London on 29 November 2017. My PhD research revolves around solving computer vision problems in X-ray images of the cervical spine. I have extensively used random forest and deep learning methods to solve localization, detection, segmentation and shape prediction for cervical vertebrae. I have been able to produce a fully automatic framework, that takes a real-life emergency room lateral X-ray image of the cervical spine and can localize the spine, vertebrae centers, and corners, detect vertebral boundaries, segment vertebrae bodies and predict vertebrae shapes. I have written my own codes from scratch for random forests and created, modified and innovated several deep networks to solve different medical imaging problems. I am an expert level developer in Matlab, having more than 10 years’ experience with it. I have used MatConvNet toolbox for the implementation of deep methods in my PhD research. I am currently converting my implementations to Python codes using TensorFlow. My expertise in C++ is at the novice level.

Three semesters in three countries in Europe covering course related with Computer Vision, Medical Image Analysis and Robotics. FRANCE: University of Burgundy [UB]; SPAIN: University of Girona [UdG] and UNITED KINGDOM: Heriot-Watt University [HW]. Masters thesis done on Medical Image Analysis in Girona.

Courses Taken: Theory: Electrical Technology for Computers, Digital Electronics, Advanced Electronics II, Measurement and Instrumentation Lab/Sessional: Digital Signal Processing, Advanced Electronics II, Digital Electronics, Transmission & Distribution, Electronics II, Industrial Electronics II, Signal & System, Electrical Drawing & Drafting, Measurement & Instrumentation, Telecom. Principles.Other Services:Member:Meeting Arrangement Committee, Industrial Training Committee, Convocation Reception Committee and Newsletter Publication Committee.Time Judge: Annual Sports 2011, Annual Sports 2012 .Course Official: Short Course 2011: “Recent Developments in Wireless Communication”.