Aditya Acharya

Aditya Acharya

Postdoctoral Researcher in Human-Computer Interaction

Aalto University


I am a FCAI postdoctoral researcher, working in the field of Human–Computer Interaction (HCI), in the Media Labs Group (led by Prof. Perttu Hämäläinen) and User Interfaces Group (led by Prof. Antti Oulasvirta) at Aalto University.

I completed my PhD Degree in July 2019 from University of Birmingham, UK. My primary PhD advisor was Prof. Andrew Howes. The title of my dissertation is “Approximate optimal control model for visual search tasks”.

My current research interests include reinforcement learning, decision making, supervisory control, robotic vision and intelligent interactive systems.


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


  • PhD in Computer Science, 2019

    University of Birmingham

  • MSc in Human-Computer Interaction, 2014

    University of Birmingham

  • BTech in Computer Science, 2011

    KIIT University


Statistical Analysis

Competency in collecting and analyzing data to identify patterns and trends.


Proficiency in applying analytical and numerical methods to model a broad range of problems.

Software Engineering

Experience in developing and deploying ML models as microservice.


Human Visual Search as a Deep Reinforcement Learning Solution to a POMDP

The project objective is to design computational models to aid in gaze-based eye tracking technology as a pointing modality.

Optimising flow within mobility systems with Artificial Intelligence

The objective of the project is to transition complex traffic management from static systems into dynamic, optimised systems that cities manage in real-time across many types of mobility.

Touchscreen Typing As Optimal Supervisory Control

This project presents a computational model of how people type on touch-screen keyboards. We explaore the role of visual attention being shared between the keyboard and the text area.


  • Helsinki,