- Quantum Computing Algorithms and Architecture
- Natural Language Processing Techniques
- Quantum Information and Cryptography
- Advancements in Semiconductor Devices and Circuit Design
- Quantum Mechanics and Applications
- Topic Modeling
- Molecular Communication and Nanonetworks
- Explainable Artificial Intelligence (XAI)
- Adversarial Robustness in Machine Learning
- Ethics and Social Impacts of AI
- Real-Time Systems Scheduling
- Machine Learning and Algorithms
- Advanced Text Analysis Techniques
- Algorithms and Data Compression
- Antimicrobial agents and applications
- Data Stream Mining Techniques
- Distributed systems and fault tolerance
- Industrial Automation and Control Systems
- Radiation Effects in Electronics
- Semiconductor materials and devices
- Time Series Analysis and Forecasting
- Solar and Space Plasma Dynamics
- Speech Recognition and Synthesis
- Hate Speech and Cyberbullying Detection
- Multimodal Machine Learning Applications
University of Waterloo
2022-2023
Vellore Institute of Technology University
2016-2022
Indian Institute of Technology Bombay
2021
The University of Texas at Austin
2020
Amity University
2018
Jaypee Institute of Information Technology
2017
Devi Ahilya Vishwavidyalaya
2009
In modern society, Heart disease is the noteworthy reason for short life. Large population of people depends on healthcare system so that they can get accurate result in less time. amount data produced and collected by organization daily basis. To intriguing knowledge, innovation permits to extract through automization processes. Weighted Association Rule a type mining technique used eliminate manual task which also helps extracting directly from electronic records. This will help decreasing...
These days, text summarization is an active research field to identify the relevant information from large documents produced in various domains such as finance, news media, academics, politics, etc. Text process of shortening by preserving important contents text. This can be achieved through extractive and abstractive summarization. In this paper, we have proposed approach extract a good set features followed neural network for supervised Our experimental results on Document Understanding...
Current hardware for quantum computing suffers from high levels of noise, and so to achieve practical fault-tolerant will require powerful efficient methods correct errors in circuits. Here, we explore the role effectiveness using noise tailoring techniques improve performance error correcting codes. Noise such as randomized compiling (RC) convert complex coherent processes effective stochastic noise. While it is known that this can be leveraged design diagnostic tools, its impact on Of...
We study fairness in Machine Learning (FairML) through the lens of attribute-based explanations generated for machine learning models. Our hypothesis is: Biased Models have Explanations. To establish that, we first translate existing statistical notions group and define these terms given by model. Then, propose a novel way detecting (un)fairness any black box further look at post-processing techniques reason how can be used to make bias mitigation technique more individually fair. also...
Plasmodium falciparum causing malaria is yet reigning against drug design community when it comes to survival and defense. Continuous evolution resistant character foremost basis of parasite's versatility. 3-oxoacyl-acyl-carrier protein synthase I/II in discovered decisive fatty acid synthesis machinery. Objectives enzyme inhibition need structural characterization from its 3D structure. In present studies molecular modeling achieved using silico comparative modeling. ICM Molsoft algorithm...
Current hardware for quantum computing suffers from high levels of noise, and so to achieve practical fault-tolerant will require powerful efficient methods correct errors in circuits. Here, we explore the role effectiveness using noise tailoring techniques improve performance error correcting codes. Noise such as randomized compiling (RC) convert complex coherent processes effective stochastic noise. While it is known that this can be leveraged design diagnostic tools, its impact on Of...
Fault-tolerant quantum computing will require accurate estimates of the resource overhead under different error correction strategies, but standard metrics such as gate fidelity and diamond distance have been shown to be poor predictors logical performance. We present a scalable experimental approach based on Pauli reconstruction predict performance concatenated codes. Numerical evidence demonstrates that our method significantly outperforms predictions for various models, even with limited...
We describe the smallest quantum error correcting (QEC) code to correct for amplitude-damping (AD) noise, namely, a 3-qubit that corrects up first order in damping strength. generalize this construction create family of codes AD noise any fixed order. underpin fundamental connection between structure our and via relaxed form Knill-Laflamme conditions, are different from existing formulations approximate QEC conditions. Although recovery procedure is non-deterministic, optimal with respect...
We consider the problem of incremental learning context-free grammars, using inductive CYK (Cocke-YoungerKasami) algorithm [4], based on non-deterministic scheme proposed by Nakamura and Matsumoto in 2005 [1]. implement their deterministically illustrate several examples order to understand process efficiently. On basis this study we also point out some lines research for possible enhancements.
The advancements in technology have helped us utilize sustainable and renewable sources of energy a more efficient manner. popularity solar panels has increased the past years across globe. This paper presents power analysis sun-tracking panel fixed panel. Python's PVLib classes are used for obtaining angle elevation irradiance same location as hardware setup. We graphically compared results with it to understand its functioning. From this report, we drawn conclusions efficiency, overall...
One of the fundamental restrictions that quantum mechanics imposes is "No deletion Theorem" which tells us given two identical unknown states, it impossible to delete one them. But nevertheless if not perfect, people have tried approximately. In these approximate deleting processes our basic target copies as much possible while preserving other copy. this brief report, by using No communication theorem (NCT) (impossibility sending signal faster than light a resource) guiding principle, we...
Text Classification is an integral part of many Natural Language Processing tasks such as sarcasm detection, sentiment analysis and more applications. Many e-commerce websites, social-media/entertainment platforms use models to enhance user-experience generate traffic thus, revenue on their platforms. In this paper, we are presenting our solution Multilingual Abusive Comment Identification Problem Moj, Indian video-sharing social networking service, powered by ShareChat. The problem dealt...
In this paper, we present the details of systems that have submitted for WAT 2021 MultiIndicMT: An Indic Language Multilingual Task. We two separate multilingual NMT models: one English to 10 languages and another English. discuss implementation approaches, namely one-to-many many-to-one, makes use a shared decoder encoder, respectively. From our experiments, observe outperforms bilingual baseline MT each language pairs under consideration.
Fault-tolerant quantum computing will require accurate estimates of the resource overhead, but standard metrics such as gate fidelity and diamond distance have been shown to be poor predictors logical performance. We present a scalable experimental approach based on Pauli error reconstruction predict performance concatenated codes. Numerical evidence demonstrates that our method significantly outperforms predictions for various models, even with limited data. illustrate how this assists in...