Aman Kumar Singh

Projects

• LiDAR Data Segmentation and Labeling
  Supervised by Prof. Bharat Lohani, Department of Civil Engineering, IIT Kanpur
  Semester 2022-23-II | CE676A Project
  Developed high-quality labeled LiDAR datasets using CloudCompare for training deep learning models. Improved segmentation accuracy by resolving labeling inconsistencies and reducing manual classification errors.
  [slides, report]
• Finding Optimal Sites for Check Dams using Analytical Hierarchy Process (AHP)
  Supervised by Prof. Bharat Lohani, Department of Civil Engineering, IIT Kanpur
  Semester 2022-23-II | CE432A Project
  Team: Aman Kumar Singh, Tarun Yadav, Ritik Raj, Nikhil Singh & Utkarsh Srivastava
  Identified optimal check-dam locations in Chehalka, Haryana using multi-criteria AHP analysis incorporating soil type, geomorphology, slope, runoff, and stream order.
  [slides, report]
• Lit. Review: LiDAR-Based Detection and Tracking of Pedestrians and Vehicles on Road
  Supervised by Prof. Aditya Medury, Department of Civil Engineering, IIT Kanpur
  Semester 2023-24-II | CE687 Literature Review
  Conducted a literature review on LiDAR-based detection and tracking of pedestrians and vehicles. Designed a study specific to India’s heterogeneous traffic conditions to explore potential research gaps.
  [literature review]
• Undergraduate Project (UGP-I): Survey Camp at Arogyadham, DRI Chitrakoot
  Supervised by Prof. Onkar Dikshit, Department of Civil Engineering, IIT Kanpur
  Semester 2022-23-II | CE332A Survey Camp
  Team: Aman Kumar Singh, Alok Kumar Mishra, Ayush Pratap Singh, Divyansh Patel & Ravi Kumar
  Conducted topographic surveying, established 12 control points, performed Juno mapping of Kamadgiri hills, and profiled a 315 m road stretch to create detailed maps of Arogyadham.
  [slides, report, topo map, juno map]
• Digital Twins in Construction Management
  Supervised by Prof. Chirag Kothari, Department of Civil Engineering, IIT Kanpur
  Semester 2023-24-I | CE441B Industry Seminar Presentation & Report
  Examined applications of Digital Twins in urban planning and Construction 4.0. Delivered a seminar on monitoring, automation, and optimization use-cases for smart-city management.
  [slides, report]
• Deep Learning for Deepfakes Creation and Detection
  Supervised by Prof. Nishchal K. Verma, Department of Electrical Engineering, IIT Kanpur
  Semester 2023-24-II | EE656 Term Project
  Surveyed generation and detection algorithms for deepfakes and discussed privacy, security and computational challenges.
  [slides, report]