CV

Education

• B.S. in GitHub, GitHub University, 2012
• M.S. in Jekyll, GitHub University, 2014
• Ph.D in Version Control Theory, GitHub University, 2018 (expected)

Work experience

• Summer 2015: Research Assistant
  • Github University
  • Duties included: Tagging issues
  • Supervisor: Professor Git
• Fall 2015: Research Assistant
  • Github University
  • Duties included: Merging pull requests
  • Supervisor: Professor Hub

Skills

• Skill 1
• Skill 2
  • Sub-skill 2.1
  • Sub-skill 2.2
  • Sub-skill 2.3
• Skill 3

Publications

VidyutVanika: A Reinforcement Learning Based Broker Agent for a Power Trading Competition

Susobhan Ghosh, Easwar Subramanian, Sanjay Bhat, Sujit Gujar, Praveen Paruchuri, "VidyutVanika: A Reinforcement Learning Based Broker Agent for a Power Trading Competition." In the proceedings of The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1, 2019, 2019.

Bidding in Smart Grid PDAs: Theory, Analysis and Strategy

Susobhan Ghosh, Sujit Gujar, Praveen Paruchuri, Easwar Subramanian, Sanjay Bhat, "Bidding in Smart Grid PDAs: Theory, Analysis and Strategy." In the proceedings of The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020, 2020.

Efficient Algorithms for Finite Horizon and Streaming Restless Multi-Armed Bandit Problems

Aditya Mate, Arpita Biswas, Christoph Siebenbrunner, Susobhan Ghosh, Milind Tambe, "Efficient Algorithms for Finite Horizon and Streaming Restless Multi-Armed Bandit Problems." In the proceedings of 21st International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2022, Auckland, New Zealand, May 9-13, 2022, 2022.

Facilitating Human-Wildlife Cohabitation through Conflict Prediction

Susobhan Ghosh, Pradeep Varakantham, Aniket Bhatkhande, Tamanna Ahmad, Anish Andheria, Wenjun Li, Aparna Taneja, Divy Thakkar, Milind Tambe, "Facilitating Human-Wildlife Cohabitation through Conflict Prediction." In the proceedings of Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, The Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March 1, 2022, 2022.

Using Public Data to Predict Demand for Mobile Health Clinics

Haipeng Chen, Susobhan Ghosh, Gregory Fan, Nikhil Behari, Arpita Biswas, Mollie Williams, Nancy Oriol, Milind Tambe, "Using Public Data to Predict Demand for Mobile Health Clinics." In the proceedings of Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, The Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March 1, 2022, 2022.

ArchGym: An Open-Source Gymnasium for Machine Learning Assisted Architecture Design

Srivatsan Krishnan, Amir Yazdanbakhsh, Shvetank Prakash, Jason Jabbour, Ikechukwu Uchendu, Susobhan Ghosh, Behzad Boroujerdian, Daniel Richins, Devashree Tripathy, Aleksandra Faust, Vijay Reddi, "ArchGym: An Open-Source Gymnasium for Machine Learning Assisted Architecture Design." In the proceedings of Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023.

Did we personalize? Assessing personalization by an online reinforcement learning algorithm using resampling

Susobhan Ghosh, Raphael Kim, Prasidh Chhabria, Raaz Dwivedi, Predrag Klasjna, Peng Liao, Kelly Zhang, Susan Murphy, "Did we personalize? Assessing personalization by an online reinforcement learning algorithm using resampling." arXiv preprint arXiv:2304.05365, 2023.

Fairness for Workers Who Pull the Arms: An Index Based Policy for Allocation of Restless Bandit Tasks

Arpita Biswas, Jackson Killian, Paula Diaz, Susobhan Ghosh, Milind Tambe, "Fairness for Workers Who Pull the Arms: An Index Based Policy for Allocation of Restless Bandit Tasks." In the proceedings of 22nd International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2023, London, United Kingdom, May 29 - June 2, 2023, 2023.

VidyutVanika: AI-Based Autonomous Broker for Smart Grids: From Theory to Practice

Sanjay Chandlekar, Bala Pedasingu, Susobhan Ghosh, Easwar Subramanian, Sanjay Bhat, Praveen Paruchuri, Sujit Gujar, "VidyutVanika: AI-Based Autonomous Broker for Smart Grids: From Theory to Practice." In the proceedings of Energy Sustainability through Retail Electricity Markets: The Power Trading Agent Competition (Power TAC) Experience, 2023.

A mobile health intervention for emerging adults with regular cannabis use: A micro-randomized pilot trial design protocol

Lara Coughlin, Maya Campbell, Tiffany Wheeler, Chavez Rodriguez, Autumn Florimbio, Susobhan Ghosh, Yongyi Guo, Pei-Yao Hung, Mark Newman, Huijie Pan, Kelly Zhang, Lauren Zimmermann, Erin Bonar, Maureen Walton, Susan Murphy, Inbal Nahum-Shani, "A mobile health intervention for emerging adults with regular cannabis use: A micro-randomized pilot trial design protocol." Contemporary Clinical Trials, 2024.

Did we personalize? assessing personalization by an online reinforcement learning algorithm using resampling

Susobhan Ghosh, Raphael Kim, Prasidh Chhabria, Raaz Dwivedi, Predrag Klasnja, Peng Liao, Kelly Zhang, Susan Murphy, "Did we personalize? assessing personalization by an online reinforcement learning algorithm using resampling." Machine Learning, 2024.

ReBandit: Random Effects Based Online RL Algorithm for Reducing Cannabis Use

Susobhan Ghosh, Yongyi Guo, Pei-Yao Hung, Lara Coughlin, Erin Bonar, Inbal Nahum-Shani, Maureen Walton, Susan Murphy, "ReBandit: Random Effects Based Online RL Algorithm for Reducing Cannabis Use." In the proceedings of Thirty-Third International Joint Conference on Artificial Intelligence (IJCAI-24), 2024.

Talks

Review of Sidebar and it’s functionality

September 09, 2016

Talk at LibreOffice Annual Conference 2016, Brno, Czech Republic

VidyutVanika: A Reinforcement Learning Based Broker Agent for a Power Trading Competition

January 30, 2019

Conference proceedings talk at AAAI 2019, Honolulu, HI, USA

MiWaves

October 05, 2022

Talk/Brainstorm at d3c Think Tank, Ann Arbor, MI, USA

MiWaves: developing a 2nd Generation JITAI to reduce cannabis use among emerging adults

May 12, 2023

Talk/Brainstorm at d3c Think Tank, Ann Arbor, MI, USA

MiWaves: Using AI to help reduce cannabis use among emerging adults

January 19, 2024

Talk/Brainstorm at d3c Think Tank, Ann Arbor, MI, USA

RL in real life: mixed effects models and reBandit

April 17, 2024

Lecture at STAT 234, Boston, MA, USA

MiWaves: AI-driven Digital Health Interventions to help reduce cannabis use

June 04, 2024

Talk at SAA 2024, Ann Arbor, MI, USA

reBandit: Random Effects based Online RL algorithm for Reducing Cannabis Use

August 06, 2024

Conference proceedings talk at IJCAI 2024, Jeju, South Korea

Invited upcoming talk

October 22, 2024

Talk at INFORMS Annual Meeting 2024, Seattle, WA, USA

Invited upcoming talk

March 23, 2025

Talk at ENAR 2025, New Orleans, LA, USA

Teaching

Teaching experience 1

Teaching experience 2

Service and leadership

• Currently signed in to 43 different slack teams