Leo Pauly, MIEEE PhD Student in Computer vision & Deep learning University of Leeds, UK

Mail: [email protected] | [email protected] Ph: +44 07849507618 Website: www.leopauly.com LinkedIn: www.linkedin.com/in/leopauly GitHub: www.github.com/leopauly Google Scholar: https://goo.gl/i6uKVf

Objective: Build a successful professional career in deep learning based computer vision research Research Interests: Computer Vision, Machine learning, Robotics Current Focus: Deep learning, Image segmentation, Transfer learning Other Interests:

Embedded systems

Education 2016 Oct - PhD in Computer Vision & Deep Learning University of Leeds, UK Advisors : Prof. David Hogg, Dr.Raul Fuentes Recipient : Leeds Annual Research Scholarship 2016 2015 B.tech, Electronics and communication engineering, passed with 81.68% of marks, Cochin University of Science And Technology, India Rank: 6/102 2012 DIPLOMA (Part-time), Embedded System software, passed with 92% of marks, Accel IT Academy, Ernakulam, India 2011 AISSCE, Passed with 93.6% of marks from Devamatha Public School,Trissur, India 2009 SSLC, Passed with 90% of marks from Carmel higher secondary School,chalakudy, India

Research Experience 2015 Aug- 2016 Student Research Associate May Topic : Computer vision system for Drowsiness Detection using web cameras With: Dr.Deepa Sankar 2014 May-June Research Intern, School of Engineering, Cochin University of Science and Technology Topic : Development of a Computer vision system for sorting and Grading of Mangos Guide: Dr.Deepa Sankar

Refereed publications (Google Scholar h index:2) In a nutshell : IEEE conferences (6), IEEE symposium(1), National Conference(1), Journal (1); First authored (9); Journals J.1 Leo Pauly, Deepa Sankar, “Non Intrusive Eye Blink Detection from Low Resolution Images using HOG-SVM classifier”, International Journal of Image, Graphics and Signal Processing (IJIGSP), MECS Publishers, Vol.8, No.10, 2016. Conferences C.7 Leo Pauly, Deepa Sankar, " A Novel Online Product Recommendation System Based on Face Recognition and Emotion Detection”, IEEE International Conference on Control Instrumentation Communication and Communication Technologies (ICCICCT), pp.352-357, 2015.

C.6 Leo Pauly, Deepa Sankar, " Detection of Drowsiness based on HOG features and SVM classifiers”, In Proc. of IEEE International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN), pp.181-186, 2015. C.5 Leo Pauly, , Deepa Sankar, “A Novel Method for Eye Tracking and Blink Detection in video frames ”, In Proc. of 2015 IEEE International Conference on Computer Graphics, Vision and Information Security ( IEEE CGVIS), pp.252-257, 2015. C.4 Leo Pauly, Baiju M.V, Viswanathan.P , Praveen Jose, Divya Paul, Deepa Sankar “ A New Gray level Based Method for Visual Inspection of Frying Food Items”, In Proc. of IEEE Supported International Conference on Soft Computing Techniques & Implementations (ICSCTI), pp.57-60 , 2015 C.3 Leo Pauly, Rahul D Raj, Binu Paul, “ Hand written Digit Recognition System for South Indian Languages using Artificial Neural Networks”, In Proc. of Seventh International Conference on Contemporary Computing (IC3 2015), IEEE, pp.122 - 126, 2015 C.2 Leo Pauly, Deepa Sankar, "A new method or sorting and grading of mangos based on computer vision system”, Proc. of IEEE International Advance Computing Conference (IACC), pp.11911195, 2015 C.1 Leo Pauly, A. S. Pathma Priyaa , Anju Pradeep , “SRR Frequency Estimator Using Artificial Neural Network” , Proc. of 4ͭʰ National Technological Congress Kerala (NATCON 2014), Wayanad, 2014, pp.305-308 Symposiums S.1 Leo Pauly, Baiju M.V, Viswanathan.P , Praveen Jose, Divya Paul, Deepa Sankar “CAMbot: Customer Assistance Mobile Manipulator Robot”, In Proc. of IEEE Bombay Section symposium, pp.1-4, 2015

Non refereed Publications Technical Reports t.3 Leo Pauly, Baiju M.V, Viswanathan.P , Praveen Jose, Divya Paul, Deepa Sankar, “Customer Assistance Mobile Manipulator Robot ( CAMbot)” Main project Report, Division of Electronics Engineering , SOE , CUSAT. t.2 Leo Pauly, Baiju M.V, Viswanathan.P “Automatic Mango Grading System”, TEQUIP Phase II project Report, Division of Electronics Engineering, SOE , CUSAT. t.3 Leo Pauly, Baiju M.V, Viswanathan.P “ Automatic Passenger Screening System”, Mini project Report, Division of Electronics Engineering , SOE , CUSAT.

Funding 1,000 US dollars IEEE Student Enterprise Award Funding, 2014 10,000 INR TEQUIP Phase II Project Funding

Projects Main Projects m.3 m.2 m.3

Computer vision Based Drowsiness Detection System - A Computer vision system for drowsiness detection using web cameras CAMBot : Customer Assistance Mobile Manipulator Robot – A mobile manipulator robot for assisting customers in super markets (www.caskbot.wordpress.com) Automatic Mango Grading System - A robotic arm based system that uses computer vision for sorting and grading of mangoes

Mini Projects p.1 MBPSS - Matlab Based Passenger Screening System p.2 Squaro1.0 - Robotic Operating System (ROS) Controlled Mobile Robot p.3 Labbot1.0 - Labview Controlled Mobile Robot

p.4 KidsFun , SkeletonWelcome - Kinect Based Virtual Reality projects P.5 Beam Pattern Calculation using Artificial Neural Networks for microwave antennas

Technical Skills Programming Languages: Python, C/C++ , MATLAB , Embedded C , Assembly

Libraries: Keras, OpenCv, ANN Matlab toolbox | Platforms/Software/ Hardware: Linux, Windows | Adobe Photoshop, Labview, Proteus | Microcontrollers, Arduino

Online Certifications 2015 July Human Subjects Research training for Biomedical Research Investigators Collaborative Institutional Training Initiative (CITI PROGRAM) at University of Miami 2015 July Human Subjects Research training for Social & Behavioral Research Investigators Collaborative Institutional Training Initiative (CITI PROGRAM) at University of Miami

Exhibitions Sept 2014 Leo Pauly, Anurag Mohan, Megha P.D, Naiciny Basheer, Sachin V.M, “ ROBOTICS CENTER” , Maker Party Kochi, Cochin, Kerala

Teaching Seminar S.1 Seminar on “Artificial Neural Networks” , 9th july 2014, Division of Electronics Engineering , School of Engineering , CUSAT UG Workshops w.7 “MasterUno: Getting Acquainted With Arduino”, 23rd Jan 2015 w.6 “C/C++ for beginners”, 7th & 8th Jan 2015 w.5 “Introduction to Python programming language”, 14th & 15th Oct 2014 w.4 “Basics of MATLAB for Undergraduates” 7th & 8th Oct 2014 w.3 “Circuit Simulation Workshop”, 21st, 22nd & 31st July 2014 w.2 “How to Simulate a Circuit using a Simulation software”, 22nd Jan 2013 w.1 “Introduction to Circuit Simulation”, 3rd & 4th Oct 2012

Professional activities Conference Program Committee IEEE 2014-2015 2014 April-July 2013- 2014 2013-2015 2013-2014 2013-2014 AIESEC 2013 Others 2014-2015 2013-2014 2012-2013 2011-2012

Served as the program committee member and reviewer for IEEE Conference on Computational Intelligence and Communication Networks (CICN) 2015

Chairman, IEEE CUSAT Student Branch Team Lead, IEEE KITeS Expo 2014 Team Lead , IEEE RAS membership development PGM ,IEEE Kerala Section Founding Chairman, IEEE Robotics And Automation Society CUSAT Student Chapter Electronics communication coordinator , IEEE Kochi Hub Vice Chairman , IEEE CUSAT SB Team Lead ,Marketing, AIESEC Kochi Technical Coordinator, Electronics and Communications Students Association (ECSA) Joint Secretary , Electronics and Communications Students Association (ECSA) Treasurer NSS SOE,CUSAT Activity coordinator Nature club CUSAT

Awards And Recognition 2016 2016 2016 2015 2014 2014 2012 2009 2006,2007, 2008

Leeds Annual Research Scholarship (LARS) 2016 Marie Sklodowska-Curie PhD Research Fellowship 2016 (courteously declined) University of Exeter PhD Studentship, 2016 (courteously declined) 2nd prize, English Extempore Speech Competition, B.tech Arts Festival, CUSAT, 2015 IEEE Student Enterprise Award Winner 2014 (Awarded by IEEE MGA) Selected to Represent IEEE Kerala Section in IEEE R10 student/WIE/GOLD Congress 2014 4th place Regional Level Robotic Competition, RoboTryst 2012 State A-Grade winner in ‘Local history writing Competition’ (School Level) ‘Student of Merit’ award winner (School Level)

Leo Pauly_PhD _CV_July_2017.pdf

Build a successful professional career in deep learning based computer vision research. Computer Vision, Machine learning, Robotics. Deep learning, Image ...

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