Research Groups
The IFK focuses on seven themes, each championed by a research group: Blockchain and the Cryptoverse (BC), Data Science across Disciplines (DSAD), Decentralised Artificial Intelligence and Control Systems (DAICS), the Future of Diplomacy (FoD), the Future of Health (FoH), Green Futures (GF) and Work of the Future (WoF).
Data Science Across Disciplines
Professor Charis Harley
The purpose of the research group, Data Science Across Disciplines, is to support the educational and intellectual growth of the field of Data Science in the region, and further afield. The Group takes an interdisciplinary approach to both the application of data science and the sense-making theoretical frameworks that shape its development. At the University of Johannesburg, the Group aims to develop much-needed specialist educational programmes at the postgraduate level, to support student skills development and the upskilling of current professionals in the field. Through cutting-edge research, product development, and close collaboration with industry partners and professionals, DSAD drives innovation in Data Science to support UJ as the driver of the 4IR.
Upcoming Events
Webinar: AI with MATLAB – From First Steps to a Bitcoin Volatility Forecast Problem
Data Science Across Disciplines 12:30 – 14:00 Thursday 17 June 2021 Register here In this webinar, an Opti-Num Solutions/MathWorks team introduced machine learning with
Webinar: Artificial Intelligence Applied Research at the Perception Robotics and Intelligent Machines (PRIME), Canada
Data Science Across Disciplines 15:30 – 17:00 Monday 31 May 2021 Register here In recent years, there has been significant progress in the field
Webinar: Neural Differential Equations, Control and Machine Learning
Data Science Across Disciplines 12:30 – 14:00 Monday 26 April 2021 Register here The webinar focused on neural ordinary differential equations (NODEs) from a
Our People
Pushpendra Kumar
Research Associate
Pushpendra Kumar is a young mathematician from India. He holds a master's degree from the Central University of Punjab, Bathinda. He has published nearly 50 research papers in more than 20 reputed international journals. His research works are related to the mathematical modelling of various real-world problems, fractional calculus, and computational methods. More specifically, Mr Kumar has done novel work on the modelling of infectious diseases. He is a reviewer for several international journals.
Pushpendra Kumar
Research Associate
Charis Harley
Head of Data Science Across Disciplines
Professor Charis Harley is Head of the Data Science Across Disciplines Research Group at the IFK and 4IR Professor in the Faculty of Engineering and the Built Environment at UJ. She is an accomplished researcher in the field of computational mathematics with over 30 articles, experience at a range of elite universities, and multiple research grants. She also has experience in industry as an analyst and quantitative analyst, with practise in data analysis ranging from the use of filters; Auto-Correlation; Principal Component Analysis; Exploratory Data Analysis, to the use of more advanced methods of data analytics.
Charis Harley
Head of Data Science Across Disciplines
Pushpendra Kumar
Research Associate
Pushpendra Kumar is a young mathematician from India. He holds a master's degree from the Central University of Punjab, Bathinda. He has published nearly 50 research papers in more than 20 reputed international journals. His research works are related to the mathematical modelling of various real-world problems, fractional calculus, and computational methods. More specifically, Mr Kumar has done novel work on the modelling of infectious diseases. He is a reviewer for several international journals.
Pushpendra Kumar
Research Associate
Charis Harley
Head of Data Science Across Disciplines
Professor Charis Harley is Head of the Data Science Across Disciplines Research Group at the IFK and 4IR Professor in the Faculty of Engineering and the Built Environment at UJ. She is an accomplished researcher in the field of computational mathematics with over 30 articles, experience at a range of elite universities, and multiple research grants. She also has experience in industry as an analyst and quantitative analyst, with practise in data analysis ranging from the use of filters; Auto-Correlation; Principal Component Analysis; Exploratory Data Analysis, to the use of more advanced methods of data analytics.
Charis Harley
Head of Data Science Across Disciplines