Research
Collaborated/Worked with:
mindtrace(dot)ai, UK
Experience
March 2021 - Present
Machine Learning Researcher
Manchester, UK
Here, my research is focused on:
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Few Shots Learning for Object Detection and Image Segmentation
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Semi-Supervised approaches for 3D data
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Unsupervised Image Classification
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Anomaly Detection
Scholarships/Grants:
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AISTATS Grant
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Award for In-person registration waiver from IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) 2022
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Travel Award from Women in Computer Vision (WICV) for Louisiana, US
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Registration Award from Thirty-ninth International Conference on Machine Learning (ICML 2022)
NUI Galway, Ireland
Prof. Flavia Delicato (External Examiner)
Dr. Matthias Nickles (Internal Examiner)
Ph.D. Researcher
April 2016 - March 2021
Here, my research was focused on:
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Weakly Supervised Learning
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Object Detection Models (YOLO, SSD, RetinaNet)
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Transfer Learning (Domain Adaptation) and Hyperparameter Tuning
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Multimedia Event Processing
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Internet of Multimedia Things (IoMT)
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Publish Subscribe Paradigm
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PhD Fellowship by Science Foundation Ireland (2016 to 2021)
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NVIDIA GPU Grant for Titan Xp GPU by the Nvidia Corporation 2018
Lecturer (Computer Engineering Dept.)
June 2015 - April 2016
Taught and Lab In charge of following Courses:
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CO 406, Compiler Design Course (1 semester)
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CO315, Computer Graphics Course (1 semester)
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CO191, Computer Programming Lab (2 semesters)
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CO395, Colloquium (1 semester)
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CO393, Software Lab (1 semester)
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Registeration and Travel grant by AMU to attend ACM Conference ICTCS 2016
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Registeration and Travel grant by AMU to attend IEEE INDICON Conference 2016
Training and Courses
Data Science & Machine Learning
(Sept 2022 - Jan 2023)
Associated with Massachusetts Institute of Technology (MIT)
Projects:
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Netflix Movie Recommendation Link of Certificate
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Hotel Booking Cancellation Prediction Link of Portfolio
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Pima Indians Diabetes Analysis
Lectures on topics: Foundations of Data Science, Statistics, Unstructured Data, Regression, Classification, Prediction, Deep Learning, Recommendation Systems, Networking and Graphical Models.
Tools and Libraries: Python, Pytorch, Pandas, SciPy
Artificial Intelligence and Machine Learning (2021 -2022)
Certifications for Courses:
1. Applied Machine Learning: Foundations
2. Artificial Intelligence Foundations: Machine Learning
3. Artificial Intelligence Foundations: Neural Networks
4. Deep Learning: Image Recognition
Duration: ~2 hours (each) + Quiz + Excersises (in Python)
Python (Programming Language) Assessment (Placed in top 15% of 4.0M people)
Deep Learning for Computer Vision (April 2017)
Associated with Dublin City University, Dublin, Ireland
Summer School
Duration: 2 Days
Big Data (Feb 2017)
Associated with University of Bari, Italy
Winter School
Duration: 1 Week
C Programming Course (6 months)
Java Programming Course (6 months)
Associated with Aptech, India
Duration: 2010 - 2011
Education
Prof. Edward Curry (PhD Supervisor)
NUI Galway, Ireland
Prof. Adegboyega Ojo (GRC Member)
Prof Mathieu D’Aquin (GRC Member)
2016 - 2021
College of Science and Engineering,
National University of Ireland (NUI)
Ph.D.
Galway, Ireland
Thesis Title: Title: Detecting Seen/Unseen Concepts Online while Reducing Response Time with/without Bounding Boxes using Domain Adaptive Multimedia Event Processing
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Fellowship by Science Foundation Ireland SFI (2016 to 2021)
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NVIDIA GPU Grant for Titan Xp GPU by the Nvidia Corporation 2018
2013 - 2015
Computer Science and Engineering Department,
Zakir Husain College of Engineering and Technology (ZHCET), AMU
M.Tech (MS)
Aligarh, India
Dissertation Title: Title: Image Segmentation using Fuzzy Multi-Criteria Decision Making
Worked on:
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Image Segmentation
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Edge Detection
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Ant Colony Optimization
Grade: GPA - 4/4 and CPI - 9.67/10
Rank 3 in Master's/M.Tech Batch
- Scholarship from Graduate Aptitude Test in Engineering (GATE)
All India Rank 597 out of 115,425 candidates
2009 - 2013
Computer Science and Engineering Department,
Zakir Husain College of Engineering and Technology (ZHCET), AMU
B.Tech (BS)
Aligarh, India
Final year Project Title: Framework development and implementation of stereoscopic website
Worked on:
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Stereoscopic Images
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Depth Maps
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MPO and Anaglyph Images
Grade: GPA - 4/4 and CPI - 9.11/10
Best Programmer Title in B.Tech Batch
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Prestigious IDB Scholarship (till 4 years), Jeddah
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Sir Syed Scholarship (till 4 years)
Research Interests
Artificial Intelligence
Deep Learning
Computer Vision
More Specifically:
Object Detection (YOLOv1,2,3,5; SSD; RetinaNet, Faster RCNN models)
Image Classification (MobileNet, ResNet, VGG, DarkNet)
Image Segmentation (Mask R-CNN, Watershed)
Few-Shot Learning (Re-PRI, Fsdet models)
Weakly-Supervised (LSDA)
Semi-Supervised Learning (Mean-Teacher Approach)
Data Cleaning (cleanlab)
Edge Detection, Unsupervised Learning, Anomaly Detection
Other Areas Worked on:
Internet of Multimedia Things (IoMT)
Publish Subscribe Paradigm
Multimedia Event Processing (MEP)
Complex Event Processing
Fuzzy Logic
Swarm Intelligence
Technical skillset
Languages: Python, C, Java, Linux Shell Scripting, HTML, Assembly Language
Frameworks/Libraries: Keras, Pytorch, TensorFlow, CUDA, cuDNN, OpenCV, POSIX, Scikit-learn
Tools: LaTeX, Esper, Apache ActiveMQ, MATLAB
Platforms: Ubuntu Linux 12.04, 16.04, 20.04; Windows XP, 7, 8, 10
Hardware: Nvidia Titan Xp GPU, NVIDIA Jetson TX2
Languages
English (proficient)
Hindi (native)
Urdu (native)