Projects
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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]
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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]
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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]
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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]
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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]
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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]