68 citations · 204 across the 10 of their papers we have counts for
11 papers
Voice Privacy with Smart Digital Assistants in Educational Settings
Mohammad Niknazar, Aditya Vempaty, Ravi Kokku
The emergence of voice-assistant devices ushers in delightful user experiences not just on the smart home front, but also in diverse educational environments from classrooms to per…
Design and Evaluation of a Tutor Platform for Personalized Vocabulary Learning
Ravi Kokku, Aditya Vempaty, Tamer Abuelsaad +4
This paper presents our experiences in designing, implementing, and piloting an intelligent vocabulary learning tutor. The design builds on several intelligent tutoring design conc…
Human-Machine Inference Networks For Smart Decision Making: Opportunities and Challenges
Aditya Vempaty, Bhavya Kailkhura, Pramod K. Varshney
The emerging paradigm of Human-Machine Inference Networks (HuMaINs) combines complementary cognitive strengths of humans and machines in an intelligent manner to tackle various inf…
A Coupon-Collector Model of Machine-Aided Discovery
Aditya Vempaty, Lav R. Varshney, Pramod K. Varshney
Empirical studies of scientific discovery---so-called Eurekometrics---have indicated that the output of exploration proceeds as a logistic growth curve. Although logistic functions…
Multi-object Classification via Crowdsourcing with a Reject Option
Qunwei Li, Aditya Vempaty, Lav R. Varshney +1
Consider designing an effective crowdsourcing system for an -ary classification task. Crowd workers complete simple binary microtasks whose results are aggregated to give the fi…
The Non-Regular CEO Problem
Aditya Vempaty, Lav R. Varshney
We consider the CEO problem for non-regular source distributions (such as uniform or truncated Gaussian). A group of agents observe independently corrupted versions of data and tra…
On Quantizer Design for Distributed Bayesian Estimation in Sensor Networks
Aditya Vempaty, Hao He, Biao Chen +1
We consider the problem of distributed estimation under the Bayesian criterion and explore the design of optimal quantizers in such a system. We show that, for a conditionally unbi…
Distributed Inference in Tree Networks using Coding Theory
Bhavya Kailkhura, Aditya Vempaty, Pramod K. Varshney
In this paper, we consider the problem of distributed inference in tree based networks. In the framework considered in this paper, distributed nodes make a 1-bit local decision reg…
Reliable Crowdsourcing for Multi-Class Labeling using Coding Theory
Aditya Vempaty, Lav R. Varshney, Pramod K. Varshney
Crowdsourcing systems often have crowd workers that perform unreliable work on the task they are assigned. In this paper, we propose the use of error-control codes and decoding alg…
Target Localization in Wireless Sensor Networks using Error Correcting Codes
Aditya Vempaty, Yunghsiang S. Han, Pramod K. Varshney
In this work, we consider the task of target localization using quantized data in Wireless Sensor Networks (WSNs). We propose an energy efficient localization scheme by modeling it…
False Discovery Rate Based Distributed Detection in the Presence of Byzantines
Aditya Vempaty, Priyadip Ray, Pramod K. Varshney
Recent literature has shown that the control of False Discovery Rate (FDR) for distributed detection in wireless sensor networks (WSNs) can provide substantial improvement in detec…