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Research Experinces, Collaborators,Education, Trainings, & Grants/Fellowships

Experience

Collaborators:

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1. On DynAIRx Project

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Research Fellow

University of Leeds

Leeds, UK

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March 2023 - Present

Here, my responsibilities includes:

  • Leading Designing of Models for DynAIRx Project: Artificial Intelligence for Health Data Sciences @Institute of Health Data Sciences in collaboration with University of Manchester, University of Leeds, Alan Turing Institute, University of Liverpool, and University of Glasgow.

  • Leading Postdocs for Codelists Groupings of all Conditions

  • Other responsibilities: Co-Supervise PhD students, Teaching/Labs for Machine Learning, Statistics, Data Science etc.

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Grants and Award:

  • National Institute for Health Research (NIHR) Grant, UK Research and Innovation (UKRI), worth £2.8 million.

  • Recipient of NIHR Teams Science Grant to conduct Research on Multiple Long Term Conditions.

  • Women of the Future Awards Finalist, in Science Domain (Sponosred by Aviva), UK 2023

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2. On Team Science Project

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3. On Knowledge Graph based CPRD Project

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March 2021 - March 2023

Machine Learning Researcher

mindtrace.ai

Manchester, UK

Collaborators:

Grants:

  • Award for In-person registration waiver from IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) 2022

  • Travel Award from Women in Computer Vision (WICV) for Louisiana, US

  • AISTATS Grant

  • Registration Award from Thirty-ninth International Conference on Machine Learning (ICML 2022) 

Here, my research was focused on:

  • Few Shots Learning for Object Detection and Image Segmentation

  • Semi-Supervised approaches for 3D data.

  • Unsupervised Image Classification

  • Anomaly Detection

Implementation: Developed, Trained and Evaluated state of the art deep

                             learning models for different computer vision tasks
Tools and Libraries: Pytorch, Tensorflow, Pytorch-Lightning and MLflow

Collaborators:

Yenifer Rios

Yusra Ahmed

Correlation One, US

Data Science Mentor

June 2022 - Oct 2022

Correlation One

United States, Canada, and UK (Remote)

Prof. Edward Curry (PhD Supervisor)

NUI Galway, Ireland

Prof. Flavia Delicato (External Examiner)

Dr. Matthias Nickles (Internal Examiner)

Ph.D. Researcher

April 2016 - March 2021

Insight Centre for Data Analytics

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NUI Galway, Ireland

Here, my research was focused on:

  • Weakly Supervised Learning

  • Object Detection Models (YOLO, SSD, RetinaNet)

  • Transfer Learning (Domain Adaptation) and Hyperparameter Tuning

  • Multimedia Event Processing

  • Internet of Multimedia Things (IoMT)

  • Publish Subscribe Paradigm

Worked With:

Fellowship and Grant:

  • PhD Fellowship by Science Foundation Ireland (2016 to 2021)

  • NVIDIA GPU Grant for Titan Xp GPU by the Nvidia Corporation 2018

Prof. Ekram Khan

Shikha Varshney

AMU, India

Dr. Samar Ansari

Lecturer (Computer Engineering Dept.)

June 2015 - April 2016

Zakir Husain College of Engineering and Technology

AMU, India

Taught and Lab In charge of following Courses:

  • CO 406, Compiler Design Course (1 semester)

  • CO315, Computer Graphics Course (1 semester)

  • CO191, Computer Programming Lab (2 semesters)

  • CO395, Colloquium (1 semester)

  • CO393, Software Lab (1 semester)

Worked With:

  • Registeration and Travel grant by AMU to attend ACM Conference ICTCS 2016

  • Registeration and Travel grant by AMU to attend IEEE INDICON Conference 2016

Grants:

Training and Courses

Data Science & Machine Learning 
(Sept 2022 - Jan 2023)

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Associated with Massachusetts Institute of Technology (MIT)

Projects:

  • Netflix Movie Recommendation                                      Link of Certificate 

  • Hotel Booking Cancellation Prediction                                 Link of Portfolio 

  • 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)

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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) 

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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

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Summer School

Duration: 2 Days

Big Data (Feb 2017)

Associated with University of Bari, Italy

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Winter School

Duration: 1 Week

C Programming Course (6 months)
Java Programming Course (6 months)

Associated with Aptech, India

Duration: 2010 - 2011

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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

Link of PhD Thesis

Worked With:

Fellowship and Grant:

  • Fellowship by Science Foundation Ireland SFI (2016 to 2021)

  • 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

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Worked on:

  • Image Segmentation

  • Edge Detection

  • Ant Colony Optimization

Grade: GPA - 4/4 and CPI - 9.67/10

Rank 3 in Master's/M.Tech Batch

Worked With:

Fellowship:

  • 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

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Worked on:

  • Stereoscopic Images

  • Depth Maps

  • MPO and Anaglyph Images

Grade: GPA - 4/4 and CPI - 9.11/10

Best Programmer Title in B.Tech Batch

Worked With:

Fellowship:

  • Prestigious IDB Scholarship (till 4 years), Jeddah

  • 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)

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