Debasmita Ghose

Our paper Integrating Multimodal Affective Signals for Stress Detection from Audio-Visual Data was accepted to the ACM International Conference on Multimodal Interaction 2024 (ICMI 2024), to be held in San Jose, Costa Rica  (PDF). I will be attending in person. 

Our paper Planning with Critical Decision Points: Robots that Influence Humans to Infer Their

Strategy was accepted to the IEEE International Conference on Robot & Human Interactive Communication 2024 (RO-MAN 2024), to be held in Pasadena, California (PDF). I will be attending in person. 

Will be a Teaching Fellow for the Intelligent Robotics Lab course taught by Brian Scassellati at Yale University.

Our paper Interactive Policy Shaping for Human-Robot Collaboration with Transparent Matrix Overlays was accepted to the ACM/IEEE International Conference on Human-Robot Interaction 2023 (HRI 2023), to be held in Stockholm, Sweden (Best Paper Award - Technical Track)

Our paper Tailoring Visual Object Representations to Human Requirements: A Case Study with a Recycling Robot was accepted to the Conference on Robot Learning 2022 (CoRL 2022), to be held in Auckland, New Zealand (PDF). I will be attending in person. 

Our paper The Impact of an In-Home Co-Located Robotic Coach in Helping People Make Fewer Exercise Mistakes was accepted to the IEEE International Conference on Robot & Human Interactive Communication 2022 (RO-MAN 2022), to be held in Napoli, Italy (PDF)

Our paper Active Learning for Improved Semi-Supervised Semantic Segmentation in Satellite Images was accepted to the IEEE Winter Conference on Applications of Computer Vision 2022 (WACV 2022), to be held in Waikoloa, Hawaii (PDF). I will be attending in person. 

Will be a Teaching Fellow for the graduate-level Artificial Intelligence course taught by Brian Scassellati at Yale University.

Our paper Why we should build Robots that both Teach and Learn was accepted to the ACM/IEEE International Conference on Human-Robot Interaction 2021 (HRI 2021), to be held in Boulder, Colorado (virtual due to COVID) (PDF). I will be attending remotely. 

Will be a Teaching Fellow for the course Building Interactive Machines, a graduate-level robotics course taught by Marynel Vazquez at Yale University. 

Started working towards a Ph.D. in Computer Science at Yale University

Graduated with a Masters in Computer Science from University of Massachusetts, Amherst

Our paper Pedestrian Detection in Thermal Images using Saliency Maps was accepted to the IEEE Workshop on Perception Beyond the Visible Spectrum at CVPR, 2019, to be held in Long Beach, California (PDF). I will be attending in person. 

Received the DAAD RISE Professional Scholarship - 2018 to pursue a research internship in robotics with Siemens CT, Munich, Germany

Started Masters program in Computer Science at the University of Massachusetts, Amherst

Pursuing a research internship in machine learning at Nanyang Technological University, Singapore, through the NTU India Connect Program 

Received the Best Student Award for the Batch of 2013-2017, from the Department of Electronics and Communication Engineering, Manipal Institute of Technology, India

Pursuing a summer internship in aerial robotics at Techniche Universitat, Dresden, Germany