Arun Vignesh Malarkkan
Scholar

Arun Vignesh Malarkkan

Google Scholar ID: jIFv3pIAAAAJ
Ph.D. student, Arizona State University
Causal Graph LearningGenerative AIKnowledge representation and reasoning in LLMs.
Citations & Impact
All-time
Citations
20
 
H-index
3
 
i10-index
1
 
Publications
7
 
Co-authors
7
list available
Resume (English only)
Academic Achievements
  • 7 Publications, 20 Citations. Research areas include Causal Machine Learning, Multi-Agent Reinforcement Learning, LLM Reasoning & Data-centric AI.
Research Experience
  • Currently a Doctoral Researcher at DOW Chemicals under the National Academy of Engineering (NAE) Frontiers of Engineering grant, developing causal-aware multi-agent reinforcement learning frameworks for AI-driven material science simulations; Former Senior Software Engineer at Fidelity Investments, leading end-to-end retirement goal financial projections; Former Software Development Engineer at Amazon Alexa AI, leading voice-enabled purchase systems.
Education
  • Ph.D. in Computer Science, Arizona State University, working under the supervision of Dr. Yanjie Fu, specializing in Causal Machine Learning, Reinforcement Learning, Data-centric AI, and Reasoning strategies in LLMs; M.S. in Computer Science, Arizona State University.
Background
  • Research Interests: Causal Machine Learning, Reinforcement Learning, Data-Centric AI. Summary: Focused on developing interpretable and robust AI systems, with an emphasis on applying causal reasoning to real-world challenges.
Miscellany
  • An avid photographer and passionate programming teacher, training young people who are excited about creative problem-solving.