Faisal B. Email & Phone Number

Minneapolis, MN, US

Technology strategy and de-risking for Medtronic's Hugo RAS platform.https://www.medtronic.com/covidien/en-us/robotic-assisted-surgery/hugo-ras-system.html

Minneapolis, MN, US

Working on the Medtronic Hugo Robotic Assisted Surgery system.https://www.medtronic.com/covidien/en-us/robotic-assisted-surgery/hugo-ras-system.html

Reston, Virginia, US

* Led the Machine Learning Algorithm Development for certified Checkpoint CT product, ClearScan* Led the Machine Learning Algorithm Development for false alarm reduction of certified Checked-Baggage CT product eXaminer* Deep Learning and Classical Machine Learning Algorithm development for certified Checkpoint CT product, ClearScan and certified.

Melbourne, Florida, US

* Lead the Machine Learning Algorithm Development for certified ClearScan Checkpoint CT product* Deep Learning and Classical Machine Learning Algorithm development for certified ClearScan Checkpoint CT product and certified MV3D Checked-Baggage scanner product* Active DoD Secret Security Clearance.

New York, NY, US

* Algorithm Development Team Lead for ClearScan Checkpoint CT product achieving industry-first European certification (ECAC C3).* Deep Learning and Classical Machine Learning Algorithm development for certified ClearScan Checkpoint CT product and certified MV3D Checked-Baggage scanner product* Active DoD Secret Security Clearance.

New York, NY, US

* Threat Detection Algorithms for X-Ray, Skiew-View, and Computed Tomography (CT) data in aviation security space.* Implemented Threat Image Projection (TIP) end-to-end pipeline for carry-on and checked-baggage product lines by inserting 3D scans of threats in clean passenger scanned bags. This capability is used to train screeners and measure their.

I worked on developing real-time vision algorithms in C++ on Linux platform for robotic application using invariant features, color-based and contour-based representations. I developed object detection and localization algorithms using machine learning for training discriminative classifier, line finding and rectangular region detection. I implemented.

Cambridge, Massachusetts, US

Working on developing computer vision algorithms, for retail loss prevention, that monitor employee at register for ‘sweet-hearting’ and theft using videos from overhead camerasContributing to algorithms that robustly model employee-object interaction using multiple image feature/region based detection algorithmsImplemented a fast algorithm for cart.

US

Invented a new method of eyelid/eyelash detection and pixel-wise occlusion mask generation in iris images using log-Gabor filter banks. Implemented real-time algorithms for human iris detection from near infrared image sequences to reject non-eye images/regions and detect human irises within 20 milliseconds per SVGA size imagesWorked on long-range.

Cambridge, MA, US

Developed a C++-based cross platform application to simulate trajectories of objects in complex activity scenarios for 3-D renderingImplemented a Performance Evaluation Platform for comparing results of object trackers against the given Ground Truth; Implemented and evaluated particle filter, meanshift, ensemble and covariance trackersWorked on.

Chicago, IL, US

Obtained PhD with dissertation in Content-based video indexing and retrieval using object motion. Used activity representation based on Principal Component Analysis (PCA) and Independent Component Analysis). For efficient motion search, used Spectral Clustering and String Matching techniques. For stochastic modeling, implemented Gaussian Mixture Models.

Chicago, IL, US

Cambridge, MA, US

Worked as summer intern with Data and Sensor group. Researched on video skim generation using unsupervised clustering. Implemented a Windows Media-type application for enhanced browsing of video content based on video summaries for Personal Video Recorders (System and GUI part, implemented on PC for simulation purposes).Developed a 'Video Summarization.

Worked on implementation aspects of VisionMasterTM, a structured light pattern based non-contact optical system for 3-D solder-paste height measurement used in SMT (Surface Mount Technology) printed circuit boardsHeaded the early research on Automatic Optical Inspection (AOI) system to mark faulty PCBs based on machine vision using robust image.

Lahore, Punjab, PK

Developed Visual C++ project for real-time visual extraction of student's ID from answer sheet using Intel's Image Processing Library

Graduate Certificate, Project Management

Phd, Electrical & Computer Engineering

B.Sc., Electrical Engineering