Dr Aditya Acharya

Dr Adita Acharya

Department of Applied Health Sciences
Research Fellow

Contact details

Email
a.acharya.1@bham.ac.uk
Twitter
@Aditya02
View my research portal
Address
IOEM Building
University of Birmingham
Edgbaston
Birmingham
B15 2TT
UK

Aditya Acharya is a Computer Scientist with expertise in Artificial Intelligence (AI) and works as a Research Fellow in the Health Informatics, THINKING Research Group at the Institute of Applied Health Research. His research work combines Data Analytics, Human–Computer Interaction (HCI), and Artificial Intelligence (AI), leading to several projects in diverse areas and topics.

Aditya's research interest lies in the intersection of interaction design, machine learning and computational cognitive science. He is interested in AI models and their impact on user strategies and decision making. Also, researching a new form of interactive AI that people can naturally work and solve problems with, and which is based on the ability to better understand people’s goals and skills, take initiative more sensitively, align objectives with them, and support them.

For more information, please visit Aditya's Homepage.

ORCID ID: 0000-0002-1392-8583

Google Scholar Profile

Qualifications

  • PhD in Computer Science, University of Birmingham 2019
  • MSc in Human Computer Interaction (HCI), School of Computer Science, University of Birmingham 2014
  • B. Tech. in Computer Science, KIIT University, 2011

Biography

Aditya completed his Bachelor's in Computer Science and Engineering with a first class in 2011 and worked as a software engineer at Aricent Group in Bangalore, India. He then pursued his higher education in the UK and graduated as a Master of Science in Human Computer Interaction with a distinction from the University of Birmingham in 2014. Followed by a PhD. in Computer Science under supervision of Professor Andrew Howes. 

In 2018, Aditya joined the Alan Turing Institute as a Research Associate, and collaborating with the Toyota Mobility Foundation to transform the way cities are planned and urban traffic is managed, using interactive data visualisation, computer modelling, and machine learning. He then took up a Postdoctoral researcher post at Aalto University and was funded by Finish Centre for Artificial Intelligence (FCAI), where he led the research and design of intelligent human simulators and applied it to explain human behaviour in HCI tasks. This work with FCAI was also featured in a New Scientist article. Aditya is currently involved in applying modern AI techniques and HCI principles to health informatics and automated analytics systems.

Research

Research interests

  • Reinforcement Learning
  • Intelligent systems
  • Healthcare
  • AI Decision Making

Publications

Acharya, A., Chen, X., Myers, C., Lewis, R., & Howes, A. (2017). Human Visual Search as a Deep Reinforcement Learning Solution to a POMDP. In Proceedings of the 39th Annual Conference of the Cognitive Science Society (pp. 51–56).

Jokinen, J., Acharya, A., Uzair, M., Jiang, X., & Oulasvirta, A. (2021). Touchscreen typing as optimal supervisory control. Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, 1–14.

Chen, X., Acharya, A., Oulasvirta, A., & Howes, A. (2021). An adaptive model of gaze-based selection. Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, 1–11.

Acharya, A., Howes, A., Baber, C., & Marshall, T. (2018). Automation reliability and decision strategy: A sequential decision making model for automation interaction. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 62, 144–148. SAGE Publications Sage CA: Los Angeles, CA.

View all publications in research portal