Abdul Wahid
Post Doctoral Researcher
Galway,Ireland
Summary
I am a post-doctoral researcher actively involved in the development and implementation of the Metaverse for Europe, contributing to an open, inclusive, and human-centric digital ecosystem that emphasises collaboration, creativity, and accessibility. During my PhD, I focused on predicting the remaining useful life (RUL) of complex mechanical systems, with an emphasis on Industry 4.0. Throughout my artificial intelligence journey, I have explored the fields of semantic segmentation, action recognition, and person re-identification, which have given me a broad perspective on AI applications and a diverse skill set. My objective is to use my expertise to make a meaningful contribution to the scientific community and push the limits of what is possible in
Overview
12
12
years of professional experience
5
5
years of post-secondary education
Education
Ph.D. - Information & Engineering
Data Science Institute (DSI), University of Galway
Galway 2019.06 - 2023.12
Masters - Electronics and Information Engineering
Chonbuk National University
04.2016
B. Tech - Information Technology Engineering
Baba Ghulam Shah Badshah University
06.2012
Work History
Doctoral Researcher
Science Foundation Ireland
Galway , Ireland
2019.06 - 2023.12
- Build hybrid deep learning models for predictive maintenance in smart manufacturing.
- Investigated different state-of-the-art algorithms for estimating the remaining useful life of complex cyber-physical systems.
- Collaborated with industry for real-time data collection and analysis.
- Explored transformer networks for estimating the remaining usefulness of complex cyber-physical systems.
- Published my work in various international workshops, conferences, and journals in AI.
Student Representative
Data Science Institute, University of Galway
Galway , Ireland
2022.05 - 2023.09
- Advocating for the interests and needs of PhD students
- Represent the concerns, opinions, and ideas of my fellow PhD students to the faculty, administration, and other relevant parties
- Responsible for planning and organizing academic, social, or professional events and activities for PhD students
- Offering, guidance, advice and support to other PhD students experiencing academic or personal difficulties
- Engaging in meetings and committees where decisions affecting PhD students are made
- Effectively communicating and disseminating important information to PhD students promptly and appropriately
- Encourage collaboration among PhD students, both within and across departments, and help to build a sense of community among them.
Teaching Fellow
University of Galway
2020.02 - 2022.09
- Reinforced student learning of skills and materials through daily and weekly check-ins, informal assessments, and observations
- Monitor students for carrying out experiments and address the problems they face
- Created individual homework assignments for students based on their progress in specific sections
- Engage in critical reflection on practice as a basis for improving student knowledge
- Assisting the professor in marking the assignments and scheduling the exams
- Provided timely and frequent feedback to students, fostering an environment of open communication and interest in discovery.
Research and Development Intern
Huawei Research Ireland
Dublin
2022.01 - 2022.08
- I was a part of the cloud core network (CNN) team where my focus was on Digital Twin technology
- My research focused on modelling digital twin technology for cloud networks
- Investigated the strategies to overcome the limitations of current modelling languages
- AI-based code generation engines for modelling DT technology for telecommunication networks
- Produced thorough research reports on a range of digital twin technologies, assessing suitability for telecommunication networks.
Research Scientist
Software Eng. Lab, Chonbuk National University
2017.03 - 2019.06
- Developed a semantic segmentation model using Deep learning for an autonomous vehicle
- Analyzed data to spot patterns, trends and outliers and formulated solid conclusions
- Semantic labelling and instance segmentation using weakly supervised convolutional neural network
- Estimating the mass of the Pig from its 2D image using deep convolutional neural networks
- Image Denoising Method Based on Directional Total Variation Filtering
- Disease Detection in hyperspectral images of apples using Deep convolution Neural Network
- Deep learning-based simple end-to-end architecture capable of extracting contextual information from the images
- Pedestrian recognition and detection using transfer learning
- Korean celebrity face recognition system-based YOLO.
Assistant Professor
Yuncheng University Hedong E St, Shi – Yuncheng
Shanxi
2016.09 - 2017.03
- Supported research projects, aiding academic progression and growth in line with demands
- Taught courses like:
- Digital Signal Processing
- Image Processing and Computer Vision
- Visual basics (VB.NET)
Graduate Researcher
Chonbuk National University
Jeonju , Jeollabuk-do
2014.03 - 2016.04
- I was a part of the Media Communication and Signal Processing Lab
- Modelled a system for Mobile Indoor localization using Kalman Filter and trilateration Technique
- Proposed an RSSI-based indoor localization model based on Adaptive Neural Fuzzy Inference System
- Designed a system for the simultaneous detection and segmentation of humans based on the mean Shift
- Algorithm (MSA)
- Interpreted data to offer potential explanations for trends, patterns and causal links
- Followed established methodologies and reporting processes in line with the scientific method.
Assistant Telecom Engineer
HCL Technologies
New Delhi
2012.06 - 2013.07
- Remote server maintenance and real-time service
- Traffic monitoring for various base stations and voltage control
- Handshaking protocols and telecommunications control maintenance.
Skills
- Time-Series Analysis.
- Computer Vision.
- Data Visualization & Analytics.
- Image Processing.
- Machine learning algorithms.
- Generative modelling.
- Data Preprocessing.
- Algorithm Design
- Technical Writing.
- Knowledge Graphs.
- Link Predictions.
- Digital Twins.
Computer Languages
• Python.
• C / C++.
• MATLAB.
• Docker.
Affiliations
• SCIE & SPIE Barcelona.
• IJDSN & EE.
• PLOS one.
FRAMEWORKS & TOOLS
• TensorFlow.
• Keras.
• PyTorch.
• Linux/Windows.
• MS Office/ Latex (Overleaf).
• SQL.
Publications
- Adaptive Mobile Localization Method for Indoor Navigation (Journal of Computational &Theoretical Nanoscience's 2017)
- Image Denoising Method Based on Directional Total Variation Filtering (IEEE, ICTC 2017)
- Analogy of Face Recognition Algorithms & their Subsequent Impact (KIEE)
- Mobile Indoor Localization based on RSSI using Kalman Filter and Trilateration Technique (Proceedings of the SPIE)
- Detection of Pedestrians in Motion with Rotation and Scale Variation (Scinetifc.net)
- Semantic labelling and Instance Segmentation Using Weakly Supervised Convolutional Neural Network (IPCV 2018)
- Caption Generation Model for Images Using Convolutional Neural Networks (KCC 2018)
- Deconvolution Network based Semantic Segmentation (ISITC 2018)
- Deconvolutional Pixel layer model for road segmentation without human assistance (AICS 2019)
- Tinyml benchmark: Executing fully connected neural networks on commodity microcontrollers ( 2021 IEEE)
- Prediction of Machine Failure in Industry 4.0: A Hybrid CNN-LSTM Framework (Applied Sciences, Journal of Artificial Intelligence & Computing 2022)
- Self-Attention Transformer-Based Architecture for Remaining Useful Life Estimation of Complex Machines (ISM 2022)
- Digital Twins: Modelling Languages Comparison ( International Conference on Machine Learning, Optimization, and Data Science 2022)
- TCRSCANet: Harnessing Temporal Convolutions and Recurrent Skip Component for Enhanced RUL Estimation in Mechanical Systems (Journal of Human-Centric Intelligent Systems, 2023)
Work Preference
Work Type
Full TimeWork Location
On-SiteRemoteHybridImportant To Me
Work-life balanceTimeline
Student Representative
Data Science Institute, University of Galway
2022.05 - 2023.09
Research and Development Intern
Huawei Research Ireland
2022.01 - 2022.08
Teaching Fellow
University of Galway
2020.02 - 2022.09
Ph.D. - Information & Engineering
Data Science Institute (DSI), University of Galway
2019.06 - 2023.12
Doctoral Researcher
Science Foundation Ireland
2019.06 - 2023.12
Research Scientist
Software Eng. Lab, Chonbuk National University
2017.03 - 2019.06
Assistant Professor
Yuncheng University Hedong E St, Shi – Yuncheng
2016.09 - 2017.03
Graduate Researcher
Chonbuk National University
2014.03 - 2016.04
Assistant Telecom Engineer
HCL Technologies
2012.06 - 2013.07
Masters - Electronics and Information Engineering
Chonbuk National University
B. Tech - Information Technology Engineering
Baba Ghulam Shah Badshah University
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