Ihsan Ul Haq

Ihsan ul haq

bookmark on deepenrich
location of Ihsan Ul HaqCoventry, England, United Kingdom
Phone number of Ihsan Ul Haq+91 xxxx xxxxx
Followers of Ihsan Ul Haq6000 followers
  • Timeline

    Oct 2014 - Aug 2018

    Electrical Engineer Student

    UET Taxila
    Jul 2017 - Sept 2017

    Internship

    Multi-tech Systems
    Mar 2018 - Jun 2018

    Fellowship

    Amal Academy
    Aug 2018 - Sept 2018

    Intern

    Byco Petroleum Pakistan Limited
    Jul 2019 - Sept 2020

    Intern

    Higher Education Commission
    Oct 2020 - Dec 2023

    Team Lead

    National University of Sciences and Technology (NUST)
    Islamabad, Islāmābād, Pakistan
    Current Company
    Jan 2024 - now

    Postgraduate Researcher

    Coventry University
  • About me

    PhD in ML | Researcher | IoT | Embedded Systems

  • Education

    • Amal academy

      2018 - 2018
      Career prep fellowship career exploration/awareness skills

      Activities and Societies: -->Communication: Completed a competitive written application and interview process to be selected from over 600 applicants for intensive 3-month Fellowship funded by Stanford University -->Skills development: Investing 150 hours in order to develop business skills (e.g., communication, leadership, problem solving, teamwork, etc.) that will help me make a deeper impact on the job Education startup funded by Stanford University that teaches professional skills to students and corporations.

    • Gsis

      2012 - 2014
      Advanced level : a-level pre-engineering 82.72 %

      Activities and Societies: House Captain in A-Level Gold medalist of 100 m sprint race. Runners up in Rugby Organized GMUN A-Level in Physics, Chemistry and MathematicsA* in ChemistryA in PhysicsB in Mathematics

    • Gsis

      2010 - 2012
      Ordinary level : o-level sciences 82.55 %

      O-Level in basic Sciences subjects including:Physics , Chemistry, Mathematics6A's and 2B's.

    • Coventry university

      2024 -
      Doctor of philosophy - phd computational science

      Fully Funded PhD researcher in Machine Learning at the Centre of Computational Science and Mathematical Modelling at Coventry University.

    • University of engineering and technology, taxila

      2014 - 2018
      Bachelor's degree electrical and electronics engineering 3.18

      4 years Bachelors Degree Program in Electrical Engineering majoring POWER in subjects.--> Gaining knowledge from Pakistan's top Electrical POWER Engineering faculty.--> Many semester projects comprising of the basic 5-V Power Supply to Remote Controlled Car etc.--> Final Year Project (FYP) : PLC based SCADA for Color Mixer

    • National university of sciences and technology (nust)

      2019 - 2022
      Master of science - ms electrical and electronics engineering 3.70/4.0

      Activities and Societies: Worked as Team Lead and Research Assistant in IoT Lab from 2020 to 2022. MS in Electrical Power & Control from SEECS, NUST, H-12, IslamabadThesis Topic: Deep Learning for Crop Disease Monitoring and PredictionSubjects Studied:Linear Control SystemsOptimal ControlMachine LearningMobile RoboticsNanotechnologyPower ElectronicsStochastic SystemsLinear Algebra

  • Experience

    • Uet taxila

      Oct 2014 - Aug 2018
      Electrical engineer student

      4 years Bachelors Degree Program in Electrical Engineering majoring POWER in subjects.--> Gaining knowledge from Pakistan's top Electrical POWER Engineering faculty.--> Many semester projects comprising of the basic 5-V Power Supply to Remote Controlled Car etc.--> Final Year Project (FYP) : PLC based SCADA for Color Mixer

    • Multi-tech systems

      Jul 2017 - Sept 2017
      Internship

      MTS specializes in the supply, installation, commissioning of telecommunication equipment.My job experience as an Intern:– Hard Working: Arranged and Compiled the Supplier Prequalification Questionnaire for ZTE and the documents required for it within short period of a month.– Quick learning: Developed the sales skills including all the documentation required for tendering procedure.

    • Amal academy

      Mar 2018 - Jun 2018
      Fellowship

      -->Communication: Completed a competitive written application and interview process to be selected from over 600 applicants for intensive 3-month Fellowship funded by Stanford University-->Skills development: Investing 150 hours in order to develop business skills (e.g., communication, leadership, problem solving, teamwork, etc.) that will help me make a deeper impact on the job

    • Byco petroleum pakistan limited

      Aug 2018 - Sept 2018
      Intern

      Internship in Electrical Department of MAINTENANCE Unit BPPL.One month Internship included:---> Safety Orientation---> Emergency Response Training ---> Lab Test / Quality Control---> Oil Refining Complex -1 & 2 Plant Visit---> Oil Refining Complex -1 & 2 Power House & Substation Visit---> Oil Refining Complex -1 & 2 Control Room (CCR) Visit---> Oil Refining Complex -1 & 2 Distributed Control System (DCS) Room Visit

    • Higher education commission

      Jul 2019 - Sept 2020
      Intern

      Intern in Services Department HEC H-9, Islamabad---> HEC Solar Project---> Fire Alarm System Survey---> Asset Management---> Office Work i.e. noting and drafting etc.

    • National university of sciences and technology (nust)

      Oct 2020 - Dec 2023

      Team Lead for National Center for Artificial Intelligence (NCAI) funded Project titled: "Agri-DMaP: Internet of Things (IoT) and AI enabled system for Crop Disease Monitoring and Prediction".Agri-DMap is a smart agriculture solution integrating IoT, AI and Edge Computing for enhanced crop health monitoring and yield prediction.Objectives:• To reduce the cost of ground surveys our solution provides a cost-effective decision support system by automating the detection and classification of rust disease level. • To develop a solution that can be customized for other crops in future. and scalable system by integrating AI & IoT for wheat rust disease detection and prediction based on its severity levels. This portable system would help to replace the traditional methods of farm monitoring by identifying the presence of disease in its early stages and arresting its spread.• To enhance the yield of wheat crop by effectively containing the disease spread through technology-based solution. • To develop a predictive model of wheat rust disease based on the external datasets and the data collected during the execution of this research work. • To develop a web portal to visualize, manage the data and perform advanced data analysis.• To increase the outreach of the solution a mobile application will be developed to assist agricultural community to timely detect, diagnose the severity level of the disease. Show less

      • Team Lead

        Apr 2021 - Dec 2023
      • Research Assistant

        Oct 2020 - Apr 2021
    • Coventry university

      Jan 2024 - now
      Postgraduate researcher
  • Licenses & Certifications