Armaan Garg

About

Doctorate Scholar at IIT Ropar in the field of Artificial Intelligence (TCS Researcher). Experienced Assistant Professor with a demonstrated history of working in the education management industry. Skilled in programming, Data Structures, Algorithms & Machine Learning. Strong education professional with a Master of Technology (M.Tech.) Experience from HARVARD University as project delegate and University of Oxford scholar attendee in OxML.

Employment

• Dr. B. R. Ambedkar National Institute of Technology Jalandhar
  2025 - Present
• Thapar Institute of Engineering & Technology Assistant Professor
  2025 - 2025
• Tata Consultancy Services TCS Research Scholar
  2020 - 2023
• Indian Institute of Technology Ropar PhD Scholar
  2019 - 2024

Education

• Indian Institute of Technology Ropar PhD
  2019 - 2024
• Delhi Technological University M.Tech
  2016 - 2018
• Jaypee University of Information Technology B.Tech
  2012 - 2016

Projects & Funding

Projects & funding information is unavailable.

Publications (13)

• Distribution-aware sampling of replay buffer for mitigating catastrophic forgetting
  Information Sciences 2026 DOI: 10.1016/j.ins.2026.123640
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• Attentive A* for Visual Cue Based Path Planning in Complex Environments
  2025 DOI: 10.1007/978-3-031-73180-8_9
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• AMAF-CD: A Game-Changing Approach for Optimizing Squad Movement in StarCraft
  2024 DOI: 10.1145/3703323.3703326
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• Learning continuous multi-UAV controls with directed explorations for flood area coverage
  Robotics and Autonomous Systems 2024 DOI: 10.1016/j.robot.2024.104774
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• Multi-Unmanned Aerial Vehicle-Assisted Flood Navigation of Waterborne Vehicles Using Deep Reinforcement Learning
  Journal of Computing and Information Science in Engineering 2024 DOI: 10.1115/1.4066025
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• Deep deterministic policy gradient based multi-UAV control for moving convoy tracking
  Engineering Applications of Artificial Intelligence 2023 DOI: 10.1016/j.engappai.2023.107099
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• Real-Time Serviceable Path Planning using UAVs for Waterborne Vehicle Navigation during Floods
  2023 DOI: 10.1145/3610419.3610433
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• Addressing Data Intrinsic Characteristics for Augmentation for Breast Cancer Classification
  2023 DOI: 10.1145/3570991.3571046
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• Addressing Data Intrinsic Characteristics for Augmentation for Breast Cancer Classification
  6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD) 2023
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• Directed Explorations During Flood Disasters Using Multi-UAV System
  IEEE 18th International Conference on Automation Science and Engineering (IEEE CASE2022) 2022
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