Shahid Awan
20122023

Research activity per year

Personal profile

Overview

I hold a Ph.D. in Computer Science, specializing in Machine Learning, and I am driven by my passion for developing intelligent systems that contribute to United Nations Sustainable Development Goals (UNSDG’s) in a range of market segments, including circular economy, sustainability, internet of things enabled smart agriculture, and health and safety. My collaborative and consultative approach nurtures honest and sustainable relationships with colleagues, as demonstrated throughout my career. My skills in problem-solving, critical thinking, and generating innovative ideas have helped me progress in my career.

I have led numerous innovative projects, including a collaborative project with Crickingif, a cricket media startup, where we developed a project on 'Cricket Video Scene Categorisation and Labelling', and received the Rector’s Award for Innovation in 2018. Additionally, I led two research projects on 'Electric Demand Forecasting' and 'Dengue Fever Spread Forecasting' in collaboration with the national grid and health department, respectively. I secured funding to pitch my startup on 'Electrical Demand Forecasting' in Silicon Valley and other US markets.

To develop an innovation strategy for my circular economy startup, Circulayo, I completed the 'Innovation Strategy Course' by KTN UK and 'Leadership and Management Training Modules' offered by Ashorne Hill Management College, UK.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 2 - Zero Hunger
  • SDG 3 - Good Health and Well-being
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 11 - Sustainable Cities and Communities
  • SDG 12 - Responsible Consumption and Production
  • SDG 13 - Climate Action

External positions

KTP Associate, University of Derby

16 Oct 201620 Apr 2020

Keywords

  • QA76 Computer software
  • Machine Learning
  • Natural Language Processing
  • Deep Learning
  • Internet of Things
  • Data Science
  • Data Analysis
  • Data Analytics

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