Gokul Kannan Thiruvenkadam

I am a first year PHD student in the department of Electrical and Computer Engineering at the Jhons Hopkins University. I am a memeber of the VIU Lab advised by Dr.Vishal Patel. Before joining Hopkins, during my undergraduate I interned at The Chinese University of Hong Kong and IIIT-Delhi .

My research focuses on robot learning with a specific focus on training data effecient policies for manipulation and navigation.

For any collaboration, feel free to reach me at gokulknms6@gmail.com

Affiliations

News

July 2023
One paper accepted in IJCAI 2023 Symposium on Multimodal Reasoning with LLM !
June 2023
One paper accepted in MICCAI 2023 !
May 2023
One long abstract accepted in ICRA 2023 Workshop: Surgical Robotics !
Feb 2023
One paper accepted in ICASSP 2023 !
Dec 2022
Joined The Chinese University of Hong Kong as research intern!
March 2022
Joined IIIT-Delhi as research intern!

Selected Publications

Multimodal Reasoning and Language Prompting for Interactive Learning Assistant for Robotic Surgery.
Gokul Kannan, Lalithkumar Seenivasan, Hongliang Ren
IJCAI 2023 Symposium on Multimodal Reasoning with LLM
SurgicalGPT: End-to-End Language-Vision GPT for Visual Question Answering in Surgery
Lalithkumar Seenivasan, Mobarakol Islam, Gokul Kannan, Hongliang Ren
MICCAI 2023
Relational Reasoning in VQA Models for Visual Question Answering in Robotic Surgery
Gokul Kannan, Lalithkumar Seenivasan, Hongliang Ren
ICRA 2023 Workshop: Surgical Robotics
Deep Survival Analysis and Counterfactual Inference Using Balanced Representations
Muskan Gupta, Gokul Kannan, Ranjitha Prasad, Garima Gupta
ICASSP 2023

Projects and Presentations

Multimodal Reasoning and Language Prompting for Interactive Learning Assistant for Robotic Surgery.

IJCAI 2023 Symposium on Multimodal Reasoning with LLM

IJCAI, 2023

Relational Reasoning in VQA Models for Visual Question Answering in Robotic Surgery

ICRA 2023 Workshop:Surgical Robotics

ICRA, 2023

Crypto-RL

Developed cryptocurrency trading Open AI gym environments for discrete action space with flexible action and state space, and added baseline DRL algos for testing the environment.

Spider R&D, 2022

Camoscanner

Built a Deep Learning based pipeline to detect Camouflaged Soldiers in real-time using an NVIDIA Jetson Nano.

Spider R&D, 2021

Website Template taken from Harsh Agrawal