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Design and Analysis of Random Access Protocols for Massive Machine-Type Communications
Massive machine-type communications (mMTC) is a 5G and beyond use case, where the network is expected to serve millions of devices per square kilometre. Typical mMTC devices include smart energy meters, pressure sensors, ...
Modelling capture efficiency of microbots
Micro-robotics is one of the fast-growing research domains in the interdisciplinary field of cyber-physical systems. They have immense potential in a plethora of applications like targeted medicine, environmental remediation, ...
Collaboration Models for Ride-hailing and Transit Service Providers to Facilitate First- and Last-mile Connectivity
Mobility-as-a-Service (MaaS) has gained significant popularity in the past few years. Various ride-hailing service providers (RSPs, e.g., Uber, Lyft, Didi, Ola, etc.) have entered the transportation market to provide this ...
Predictive Motion Planning for Safe and Efficient Autonomous Driving
The advent of Autonomous Vehicles (AVs) has the potential to revolutionize transportation systems, promising significant improvements in safety, efficiency, and passenger comforts. Safety, the cornerstone of AVs, demands ...
Multi-agent Collaborative Framework for Automated Agriculture
The agriculture sector faces numerous challenges in meeting the demands of a growing global population while managing resource constraints, labour shortages and environmental sustainability. This thesis presents a multi-agent ...
Adaptive and Optimal Control based Artificial Pancreas for Type-1 Diabetes Mellitus Patients
This research focuses on the development of adaptive and optimal control algorithms and their implementation to develop Artificial Pancreas (AP) systems for glucose regulation in Type-1 Diabetes Mellitus (T1DM) patients. ...
Study of Human Safety-centric Strategies for Human-Robot Coexistence
With the increasing integration of robots into various domains and their coexistence with humans, ensuring human safety has become a critical concern. This thesis highlights the challenges associated with human safety in ...
Minimizing latency in data acquisition, distributed processing, storage and retrieval
Achieving low latency is of utmost importance in applications demanding real-time sensing
and control as in cyber-physical systems. In this thesis, we explore three different facets of
ensuring low latency in such systems. ...
Activity-travel behavior modeling of pilgrims in mass religious gatherings
The number of participants in mass gatherings like Kumbh Mela is ever increasing. Simulations for pre-event crowd modeling, risk assessment, and control planning can help set up robust crowd management and control mechanisms. ...
On the Optimality of Generative Adversarial Networks — A Variational Perspective
Generative adversarial networks (GANs) are a popular learning framework to model the underlying distribution of images. GANs comprise a min-max game between the generator and the discriminator. While the generator transforms ...