Research Experinces, Collaborators,Education, Trainings, & Fellowships
Experience
Sheffield, UK
Offered in Oct 2024
Assistant Professor of AI and Data Science (Incoming)
Academics
World Ranking:
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98th on Times Higher Education University of Sheffield | World University Rankings | THE
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105 QS World University Rankings 2025 The University of Sheffield : Rankings | Top Universities
Research Fellow
Leeds, UK
March 2023 - Present
Academics
Here, my responsibilities includes:
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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.
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Leading Postdocs for Codelists Groupings of all Conditions
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Teaching AI, Health Sciences & Statistics Courses, and Taking Labs for Machine Learning, Statistics, Data Science etc.
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Supervise PhD and Master's Students
Collaborators:
1. On DynAIRx Project
Grants and Award:
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National Institute for Health Research (NIHR) Grant, UK Research and Innovation (UKRI), worth £2.8 million.
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Recipient of NIHR Teams Science Grant to conduct Research on Multiple Long Term Conditions.
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Women of the Future Awards Finalist, in Science Domain (Sponosred by Aviva), UK 2023
2. On Team Science Project
3. On Knowledge Graph based CPRD Project
Principal Investigator (PI)
June 2024 - Present
Industry & Academics
London, UK
Here, my responsibilities includes:
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PI of Project: "London Underground Railways" with industry TfL (Transport for London) and Alan Turing Institute Collaboration.
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Leading Team of 9 Postdoctoral Researchers, PhD students, and Early Career Researchers.
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Team members belongs to different universities (University of Oxford, Imperial College London, University of Southampton, University of Manchester, Alan Turing Institute etc.) within UK.
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Working on data of London Underground Railways, covers 70% data of the whole geographical area. Using 3D Point Cloud, Image Segmentation, along with recent Computer Vision techniques.
Collaborators:
Collaborators:
Visiting Researcher
Newcastle, UK
Jan 2024 - Present
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Hand Tremor Amplitude Measurement
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ML based Videos Processing for diagnosis of Parkinson’s
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Grant includes NIHR i4i and Icicle Fo
Academics
Collaborators:
Here, my research was 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
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
Grants:
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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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AISTATS Grant
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Registration Award from Thirty-ninth International Conference on Machine Learning (ICML 2022)
Collaborators:
Data Science Mentor
Industrial
June 2022 - Oct 2022
United States, Canada, and UK (Remote)
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
Academics
Worked With:
Fellowship and Grant:
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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
Academics
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)
Worked With:
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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
Grants:
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
Industry & Academics
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)
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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
Summer School
Duration: 2 Days
Academics
Big Data (Feb 2017)
Associated with University of Bari, Italy
Winter School
Duration: 1 Week
Academics
Industrial
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)
Academics
2016 - 2021
College of Science and Engineering,
University of Galway, Ireland
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
Worked With:
Fellowship and Grant:
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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
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Worked on:
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Image Segmentation
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Edge Detection
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Ant Colony Optimization
Academics
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:
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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
Academics
Best Programmer Title in B.Tech Batch
Worked With:
Fellowship:
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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)