Email:     rkumaran [at] ucsb [dot] edu 



Google Scholar

Radha Kumaran

PhD Candidate in the Four Eyes Lab at the UCSB Computer Science department, advised by Professor Tobias Höllerer. I have a BE in Computer Science and Engineering from R V College of Engineering, and interned at the Indian Institute of Science and IBM during my undergraduate.

I work in human-computer interaction, primarily in the areas of affective computing and mixed reality. I'm interested in developing emotion- and cognition-aware personal computing interfaces that can adapt to user and environment context, to enable seamless interactions in always-on personal computing. 


Full Papers

Jiarui Zhu, Radha Kumaran, Chengyuan Xu, and Tobias Höllerer. 2023. Free-form Conversation with Human and Symbolic Avatars in Mixed Reality. In 2023 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 10 pages.  pdf | link 

Radha Kumaran*, You-Jin Kim*, Anne Milner, Tom Bullock, Barry Giesbrecht, and Tobias Höllerer. 2023. The Impact of Navigation Aids on Search Performance and Object Recall in Wide-Area Augmented Reality. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 17 pages.  pdf | link 

You-Jin Kim*, Radha Kumaran*, Ehsan Sayyad, Anne Milner, Tom Bullock, Barry Giesbrecht and Tobias Höllerer. 2022. Investigating Search Among Physical and Virtual Objects Under Different Lighting Conditions. In IEEE Transactions on Visualization and Computer Graphics 28, no. 11 (2022): 3788-3798.  pdf | link 

Yi Ding, Radha Kumaran, Tianjiao Yang, and Tobias Höllerer. 2020. Predicting Video Affect via Induced Affection in the Wild. In Proceedings of the 2020 International Conference on Multimodal Interaction (ICMI '20). Association for Computing Machinery, New York, NY, USA, 442–451.  pdf | link 

Ramya Ramanathan, Radha Kumaran, Ram Rohan Ramanathan, Rajat Gupta, and Vishalakshi Prabhu. 2017. An Intelligent Music Player Based on Emotion Recognition. In 2017 2nd International Conference on Computational Systems and Information Technology for Sustainable Solution (CSITSS) (pp. 1-5). IEEE.  pdf | link

Short Papers, Demos, Posters and Workshops

Radha Kumaran*, Viral Niraj Doshi*, Sherry X Chen, Avinash Ajit Nargund, Tobias Höllerer, and Misha Sra. 2023. EChat: An Emotion-Aware Adaptive UI for a Messaging App. In The 36th Annual ACM Symposium on User Interface Software and Technology (UIST ’23 Adjunct). USA. ACM, New York, NY, USA, 3 pages.  pdf | link

*indicates equal contribution. 


CS 8: Introduction to Computer Science

Teaching Assistant, Winter/Spring/Summer/Fall 2020 

Introduction to computer program development for students with little to no programming experience. Basic programming concepts, variables and expressions, data and control structures, algorithms, debugging, program design, and documentation.

 CS 176A: Introduction to Computer Communication Networks

Teaching Assistant, Fall 2019

Basic concepts in networking, the OSI model, error detection codes, flow control, routing, medium access control, and high-speed networks. 

Academic Service


UCSB PhD Application Support Program, Volunteer reviewer

ISMAR '23,  Student volunteer

UCSB WiCS '23, '24, Vice President (Research)

UCSB WiCS '22,  Director (Research


CHI '24, CHI LBW '23, IEEE VR '23, ISMAR '24 '23, VRST '23



PhD, Computer Science (09/2019 - Current)

University of California, Santa Barbara

Degree GPA: 4.0/4.0

Supervisor: Prof. Tobias Höllerer.

Area of Concentration: Context-Aware Mixed Reality Interfaces for Personalized Computing

BE, Computer Science and Engineering (08/2015 - 07/2019)

R V College of Engineering

Degree class: First Class with Distinction.

Supervisor: Prof. Y Narahari, Prof. Ramakanth Kumar P.

Thesis: Optimizing Multi-Armed Bandits for Internet Advertising.


Research Intern (01/2019 - 06/2019)

Indian Institute of Science, Department of Computer Science and Automation

Research area: Multi-Armed Bandits for Internet Advertising.

Intern (05/2018 - 07/2018)

IBM India

Working area: Banking Customer Spend Analysis and Forecasting.



Satyam Awasthi, Vivian Ross (MS, Winter 2023)

Project: Eye Tracking Test Suite for AR Headset During Locomotion  

Jiarui Zhu (MS, Fall 2022 - Winter 2023)

Project: Interactive Human Avatars in Mixed Reality (ISMAR '23)


Ajay Liu, Frank Zhong, Qi Wu, Towela Phiri (Early Research Scholars Program, Fall 2023 - Summer 2024)

Viral Doshi (Summer 2022)

Project: Emotion-Aware Chat Interfaces (UIST '23 Adjunct)


Anika Sikka, Woyu Wang (Research Mentorship Program, Summer 2022)