Summary
Overview
Education
Work History
Skills
Computer Languages
Affiliations
FRAMEWORKS & TOOLS
Languages
Publications
Work Preference
Timeline
Generic
Abdul Wahid

Abdul Wahid

Post Doctoral Researcher
Galway,Ireland

Summary

I am a post-doctoral researcher with a focus on modelling hybrid deep learning and generative models for time-series data. My main area of research is 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. As I near the end of my doctorate, I am actively seeking opportunities in both academia and industry. 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.

Languages

  • English
  • Fluent
  • Hindi
  • Arabic
  • Beginner
  • Urdu
  • Advanced
  • 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 Time

    Work Location

    On-SiteRemoteHybrid

    Important To Me

    Work-life balance

    Timeline

    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
    Abdul WahidPost Doctoral Researcher