Anoop Thazhathumanackal Radhakrishnan
Waterloo,Canada
Summary
Talented Postdoctoral Research Fellow dedicated to computer vision and machine learning and VLSI design research. Offering hands-on experience in supporting research efforts and completing independent projects. Eager to advance collective discipline knowledge and author high-quality scientific papers for publication in peer-reviewed journals.
Overview
16
16
years of professional experience
1
1
Certification
Work History
Research Associate
University of Waterloo
Waterloo, ON
10.2023 - Current
- Development of combined computer vision and machine learning based pilot fatigue monitoring system is under way.
- Pilot fatigue monitoring system project is in collaboration with Waterloo Institute of Sustainable Aeronautics (WISA) and Skycare Air Ambulance service.
Postdoctoral Researcher
The University Waterloo
Waterloo, Canada
10.2019 - 09.2023
- Successfully developed a real-time monitoring System for digital therapy treatment of Amblyopia. using spatial image processing techniques and machine learning especially deep learning for feature extraction and classification.
- Different features from face and head pose are extracted by deep learning as well as spatial image processing techniques for adherence monitoring.
- Red/green glass detection is performed in real-time for the adherence monitoring system using multi-class VGG 16 CNN and MTCNN.
- Detected which eye is watching through red and green glass. Also detected eyeglasses from the face using deep learning
- Strabismus detection and digital therapy systems for ADHD are under development.
- Object detection and Instance segmentation properties of MASKRCNN are used in pupil segmentation for strabismus detection.
- The optimization of the real-time adherence monitoring algorithm for pilot fatigue monitoring is under development.
- Collaborated with researchers in optometry and engineering teams to develop the algorithms.
- Documentation of these research findings is underway to publish in top-tier conferences and journals to contribute to the scientific community.
- Provisional patent for real time adherence monitoring system is filed.
Associate Professor
MBC College of Engineering and Technology
Idukki, Kerala
07.2018 - 06.2019
- Developed algorithm for brain tumor detection from MRI images
- Developed Elephant repellent device by object detection from video (To protect agricultural land from the attack of the elephant).
- Taught courses such as electronic circuits, signals and systems, digital signal processing, electromagnetic theory, microwave and radar engineering, digital image processing, control systems, and solid-state devices for undergraduate students.
- Design of different strategies for the evaluation of students' performances.
- The responsibility includes the evaluation of the student’s academic performance and provides the necessary support to achieve a better academic career.
- Supervised work of postgraduate students by assisting with projects and supporting research.
Associate Professor
Viswajyothi College of Engineering and Technology
Ernakulam, Kerala
02.2018 - 07.2018
- Taught courses such as VLSI design and analog integrated circuit design for postgraduate students
- Evaluated the projects of undergraduate and postgraduate students
Assistant Professor
Sree Narayana Gurukulam College of Engineering
Cochi
08.2008 - 02.2018
- A method for seizure detection from the one-dimensional signal obtained from neurons is implemented in VLS
- Developed a method for automatic assessment of assignments.
- Developed a novel Design for a Power-Efficient, Performance-Oriented Photonic Network-On-Chip
- Developed a VLSI architecture for Efficient Removal of Noises and Enhancement of Images and Floating Point Three-term Adder.
- Implemented a method for Adaptive Fingerprint Image Enhancement and tiger senses using quality Footprint
Images - Engaged students in lectures by encouraging the sharing of opinions and group interactions.
- Attended faculty meetings and participated in student outcome assessments with departmental members.
- Evaluated and supervised student activities and performance levels to provide reports on academic progress.
- Evaluated student progress, graded assignments and provided students with feedback.
- Prepared innovative course materials to encourage critical thinking and discussion.
- Created lesson plans and developed instructional materials covering required topics and learning objectives.
- Tutored students requiring additional assistance to improve overall comprehension of difficult concepts.
- Taught courses such as electronic circuits, signals and systems, digital signal processing, electromagnetic theory, microwave and radar engineering, digital image processing, control system, radiation and propagation and solid state devices for undergraduate students.
Research Scholar
Cochin University of Science and Technology
Cochi, Kerala
12.2011 - 06.2015
- Developed a method for the detection of altered fingerprints using three features namely ridge discontinuity, minutiae density, and scar.
- A Hough transform-based method for the classification of a given FP into normal FP and different types of altered FP have been developed.
- Developed a method for ridge orientation field reconstruction of altered FP based on orthogonal wavelet transform.
- A method is developed for matching of obliteration type of altered FP in two stages
- Collaborated with the research on medical image processing. Cancer detection from mammogram images by contourlet transform, processing of SPECT images, and compression of medical images with the wavelet transform.
Education
Certificate of Technical Studies - Machine Learning With Python
IBM
07.2023
Ph.D. - Biometrics Image Processing
Cochin University of Science And Technology, School of Engineering
Cochi09.2017
Master of Engineering - VLSI Design
Anna University
Chennai05.2008
Bachelor Degree - Electronics and Communications Engineering Chartered
IEI
Kolkata07.2006
Skills
- Excellent in computer vision using Matlab and Python
- Machine learning: Deep learning, transfer learning, SVM, Regression
- Frameworks/Applications: Opencv, TensorFlow, Keras, Scikit-image, Matplotlib, Pandas
- Languages: Python, MATLAB, C
- Proficient in VLSI Technology
- Experience in the design of deep learning networks using TensorFlow and Keras
- VLSI: C-MOS VLSI, Low power VLSI, SOC, NOC, Digital design, Verilog, VHDL, Xilinx ISE, PSPICE, Model Sim
- Hardware: FPGA, GPU, Nvidia Jeston Nano
- Research
- Project Coordination
- Report Preparation
- Interpersonal and Written Communication
Affiliations
- IEI Associate Member, June. 2006 – Present.
- ISTE Life Member, August 2008 –Present
- Reviewer IEEE Transaction on Human-Machine Systems, February 2021-Present
Accomplishments
- Best paper award for ICCVISP 2023, London
- Real-time adherence monitoring system for digital therapy, a provisional patent is filed Watco Ref. 10190 | VIP Ref. 10137-005WO1
- Awarded Ph.D. in 2017
- Qualified for CERD scholarship in 2012
Certification
- IMB certificate in Machine learning with Python, 2023
- Certificate in VLSI Design using HDL by Megasoft computers, 2008
- Computer Hardware and Troubleshooting, 2006 (Ascent IT Academy), 2006
Interests
- Coding in computer vision and machine learning using Python and MATLAB
- VLSI circuit design using HDL
- Technical writing
- Doing online courses and reading journal papers to update the technology
- Reading books
Languages
- English, Malayalam and Tamil
Additional Information
- More than 20 publications in reputed international journals and conferences
References
- Dr. Ben Thompson Professor in the School of Optometry and Vision Science University of Waterloo, ON, Canada.
Phone: 519-888-4567 ext. 39398 E-mail: ben.thompson@uwaterloo.ca - Dr. Sunish Kumar O. S., Lecturer in Electronics and Software Engineering, School of Engineering, Ulster University, UK,
Tel: +44 (0) 28 7012 3456 - Dr. Mini M G, Professor and Principal, College of Engineering, Cherthala, Kerala, Phone: +918547005038 Email:
mininair@mec.ac.in
Timeline
Research Associate
University of Waterloo
10.2023 - Current
Postdoctoral Researcher
The University Waterloo
10.2019 - 09.2023
Associate Professor
MBC College of Engineering and Technology
07.2018 - 06.2019
Associate Professor
Viswajyothi College of Engineering and Technology
02.2018 - 07.2018
Research Scholar
Cochin University of Science and Technology
12.2011 - 06.2015
Assistant Professor
Sree Narayana Gurukulam College of Engineering
08.2008 - 02.2018
Certificate of Technical Studies - Machine Learning With Python
IBM
Ph.D. - Biometrics Image Processing
Cochin University of Science And Technology, School of Engineering
Master of Engineering - VLSI Design
Anna University
Bachelor Degree - Electronics and Communications Engineering Chartered
IEI
- IMB certificate in Machine learning with Python, 2023
- Certificate in VLSI Design using HDL by Megasoft computers, 2008
- Computer Hardware and Troubleshooting, 2006 (Ascent IT Academy), 2006
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