4 citations · 6 across the 7 of their papers we have counts for
10 papers
Online-Learning Deep Neuro-Adaptive Dynamic Inversion Controller for Model Free Control
Nathan Lutes, K. Krishnamurthy, Venkata Sriram Siddhardh Nadendla +1
Adaptive methods are popular within the control literature due to the flexibility and forgiveness they offer in the area of modelling. Neural network adaptive control is favorable…
Strategic Mitigation of Agent Inattention in Drivers with Open-Quantum Cognition Models
Qizi Zhang, Venkata Sriram Siddhardh Nadendla, S. N. Balakrishnan +1
State-of-the-art driver-assist systems have failed to effectively mitigate driver inattention and had minimal impacts on the ever-growing number of road mishaps (e.g. life loss, ph…
Framing Effects on Strategic Information Design under Receiver Distrust and Unknown State
Doris E. M. Brown, Venkata Sriram Siddhardh Nadendla
Strategic information design is a framework where a sender designs information strategically to steer its receiver's decision towards a desired choice. Traditionally, such framewor…
On Maximizing Task Throughput in IoT-enabled 5G Networks under Latency and Bandwidth Constraints
Ajay Pratap, Ragini Gupta, Venkata Sriram Siddhardh Nadendla +1
Fog computing in 5G networks has played a significant role in increasing the number of users in a given network. However, Internet-of-Things (IoT) has driven system designers towar…
Strategic Communication Between Prospect Theoretic Agents over a Gaussian Test Channel
Venkata Sriram Siddhardh Nadendla, Emrah Akyol, Cedric Langbort +1
In this paper, we model a Stackelberg game in a simple Gaussian test channel where a human transmitter (leader) communicates a source message to a human receiver (follower). We mod…
Towards the Design of Prospect-Theory based Human Decision Rules for Hypothesis Testing
V. Sriram Siddhardh Nadendla, Swastik Brahma, Pramod K. Varshney
Detection rules have traditionally been designed for rational agents that minimize the Bayes risk (average decision cost). With the advent of crowd-sensing systems, there is a need…
On Strategic Multi-Antenna Jamming in Centralized Detection Networks
V. Sriram Siddhardh Nadendla, Vinod Sharma, Pramod K. Varshney
In this paper, we model a complete-information zero-sum game between a centralized detection network with a multiple access channel (MAC) between the sensors and the fusion center…
Distributed Inference in the Presence of Eavesdroppers: A Survey
Bhavya Kailkhura, V. Sriram Siddhardh Nadendla, Pramod K. Varshney
The distributed inference framework comprises of a group of spatially distributed nodes which acquire observations about a phenomenon of interest. Due to bandwidth and energy const…
Design of Binary Quantizers for Distributed Detection under Secrecy Constraints
V. Sriram Siddhardh Nadendla, Pramod K. Varshney
In this paper, we investigate the design of distributed detection networks in the presence of an eavesdropper (Eve). We consider the problem of designing binary quantizers at the s…
Optimal Spectrum Auction Design with Two-Dimensional Truthful Revelations under Uncertain Spectrum Availability
V. Sriram Siddhardh Nadendla, Swastik Brahma, Pramod K. Varshney
In this paper, we propose a novel sealed-bid auction framework to address the problem of dynamic spectrum allocation in cognitive radio (CR) networks. We design an optimal auction…