0000-0002-5576-1291 About
Dr Aitichya Chandra is a Postdoctoral Research Associate in Resilient Networks at the Institute for Manufacturing (IfM), Department of Engineering, University of Cambridge, UK, where he leads research on adaptive resilience strategies for critical networked systems in collaboration with Boeing, contributes to the UK National Hub for Decarbonised, Adaptable and Resilient Transport Infrastructures (DARe), as well as the UK National Rail project on topology-aware network segmentation and monitoring. His research interests span transport and logistics systems, operations management, network resilience, and decision analytics. He completed his PhD in Transportation Systems Engineering at the Indian Institute of Science (IISc), Bangalore, in 2024, where his doctoral research focused on the design and development of optimal operational strategies for gate-to-gate air traffic management. Prior to this, he completed his Master's in Transportation Engineering from BITS Pilani in 2019, where his research focused on freight transportation planning and logistics systems.
Employment
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University of Cambridge Research Assistant2024 - Present
Education
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Indian Institute of Science PhD Student2019 - 2024
Projects & Funding
Projects & funding information is unavailable.
Publications (25)
- Construction of a Minimal Sensor Array Using Fingerprint Protein Corona on Nanostars for Detecting Protein Isoforms and Disease States Save
- RAPTOR: Resilience-aware prediction and tracking of operational risks from alarm information flows Save
- Industry Class Stability Index (ICSI): A novel diagnostic metric to enhance the transferability of freight demand models Save
- Infrastructure Asset Renewal in Electrical Networks: Balancing Reliability, Interdependencies, and Service Disruption Save
- Reliability-oriented Telecommunication Network Routing Using Multi-agent Q-Learning Save
- Gold Nanostars Based Minimalist Sensor Arrays for Protein Isoform and Disease State Discrimination Save
- To delay or not to delay? A hybrid relationship between departure delay, en-route conflict probability, and number of conflicts Save
- On the Possibilities of Efficient Air Traffic Monitoring through Complex Network Clustering Based Airspace Sub-Sectorization: A Multi-Objective Discrete Particle Swarm Optimization Approach Save
- Some Comments on the Aircraft Landing Problem: How Optimal is the First Come First Serve Policy? Save
- Quasi-stochastic optimization model for time-based arrival scheduling considering Standard Terminal Arrival (STAR) track time and a new delay-conflict relationship Save