Sandhya Avasthi

Sandhya Avasthi
Amity University | AU · Amity Institute of Information Technology

Assistant Professor(ABES Engineering College) and PhD(P) in Information Technology

About

32
Publications
24,980
Reads
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72
Citations
Citations since 2017
29 Research Items
66 Citations
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Introduction
I work as an Assistant Professor in India in Computer Science and Engineering department. I am passionate about research, teaching, training and data science. I am doing PhD in Information Technology from AIIT, Amity University, Noida in the area of machine learning and data mining. My research interests include natural language processing, information extraction, data science and business intelligence. I worked extensively in R, Python, c/c++ and I am familiar with other tools tableau, MATLAB.
Additional affiliations
August 2004 - February 2021
Krishna Engineering College
Position
  • Professor (Assistant)
Education
July 2018 - December 2022
Amity University
Field of study
  • Information Technology
August 2011 - June 2013
UPTU ,Lucknow
Field of study
  • Computer Science and Engineering
August 1996 - December 2000
FET RBS College
Field of study
  • Computer Science and Engineering

Publications

Publications (32)
Conference Paper
Full-text available
The prediction of next word, letter or phrase for the user, while she is typing, is a really valuable tool for improving user experience. The users are communicating, writing reviews and expressing their opinion on such platforms frequently and many times while moving. It has become necessary to provide the user with an application that can reduce...
Chapter
The IoT or the internet of things started as a technology to connect everyday objects over the internet, which has evolved into something big and invaded into every single aspect of our lives. As technology is gaining momentum, IoT-based smart devices usage among users is expanding, which generates massive data at our disposal across various domain...
Conference Paper
Full-text available
The recent outbreak of coronavirus disease (COVID-19) has vividly proven to be a global outbreak that has caused millions of lives and left the world in distress. Many research agencies and government agencies are still trying to find the cause and origin. The various measures and policies were taken care of by the government to assure the minimal...
Article
The usage of various software applications has grown tremendously due to the onset of Industry 4.0, giving rise to the accumulation of all forms of data. The scientific, biological, and social media text collections demand efficient machine learning methods for data interpretability, which organizations need in decision-making of all sorts. The top...
Chapter
The vehicular ad-hoc network (VANET) has emerged as the most sought-after technology due to its wide range of applications. In this modern era, people are looking for intelligent systems that include intelligent transport systems, which is not possible without the use of modern techniques such as the internet of things (IoT), VANETs, and cloud comp...
Chapter
Good quality text data gives a better interpretation of results and provides efficient learning models. The real-world text data comes with many irregularities and errors that need good preprocessing strategies to get quality text corpus. The preprocessing steps before performing text classification of documents involve various steps of transformat...
Chapter
Artificial intelligence is a huge part of the healthcare industry, having applications and uses in oncology, cardiology, dermatology, and many other fields. Another area where AI is constantly attempting to improve is mental healthcare by integrating machine learning to evaluate data generated by mobile and IoT devices. AI aids in the diagnosis and...
Article
Full-text available
Topic models are efficient in extracting central themes from large-scale document collection and it is an active research area. The state-of-the-art techniques like Latent Dirichlet Allocation, Correlated Topic Model (CTM), Hierarchical Dirichlet Process (HDP), Dirichlet Multinomial Regression (DMR) and Hierarchical Pachinko Allocation (HPA) model...
Chapter
The first case of novel coronavirus COVID-19 appeared in China in November 2019 in Wuhan city. The novel virus caused widespread infections all over the world that led to thousands of deaths within a few months. The entire world was affected, without any suitable medicine or treatment to cure the disease. Most of the measures for defense against th...
Chapter
Recently, the world has been affected by a coronavirus disease (COVID-19) pandemic, which has caused serious illness among many people across the globe. This virus is believed to have been transmitted from bats. It disease originated in Wuhan province in China, at a seafood wholesale market in late 2019. At the time of writing, more than 11 million...
Chapter
Full-text available
Artificial intelligence is playing a mammoth task in the health care industry with its wide applications and usages in the field of oncology, cardiology, dermatology, and many more. Another application area where AI is making its constant endeavors is mental healthcare. Artificial intelligence when incorporated with machine learning provides the po...
Conference Paper
Full-text available
Good quality text data gives a better interpretation of results and provides efficient learning models. The real-world text data comes with many irregularities and errors that need good preprocessing strategies to get quality text corpus. The preprocessing steps before performing text classification of documents involve various steps of transformat...
Chapter
For a person with inability to speak, communication is the primary challenge. It is really difficult to express to a normal person understand what they are trying to communicate. The sign language is a common method used by a person with inability to speak and a normal person face difficulty in understanding signs. The gesture recognition system ac...
Conference Paper
Full-text available
The conversation over social media is becoming very common in the present world because of diverse use of mobile devices and availability of the Internet. This conversation on social media takes in the form of short text with some contextual words, and so, analyzing such short text is difficult. A Most common topic among social media user is health...
Preprint
Full-text available
For a person with an inability to speak communication is the primary challenge. Such a person faces difficulty in communication with a normal person. Sign language is a common method used by a person with an inability to speak and a normal person faces difficulty in understanding these signs or hand gestures. The gesture recognition system acts as...
Presentation
Full-text available
it is a challenge for companies and organizations to store, process, and analyze vast amounts of textual data with traditional tools. So mining such large unstructured data is done by text mining techniques.
Preprint
Full-text available
The conversation over social media is becoming very common in the present world because of the diverse use of mobile devices and the availability of the internet. This conversation on social media takes in the form of short text with some contextual words and so analyzing such short text is difficult. A most common topic among social media user is...
Preprint
Full-text available
Many hospitals currently using Electronic Health Records for improving their services and usage of such Electronic Health Records have increased tremendously. The function of an Electronic Health Record is to computerize various day to day activities of Hospital front office and such a system is user friendly simple, fast, and available at a low pr...
Conference Paper
Full-text available
A steep subthershold slope novel usymmetrical FinFET is proposed for gate lenght 9nm with improved performance in terms of Ion/Ioff ratio in comparison to existing symmetrical structure. Proformance is furture optimised in terms of doping variations and under lap behaviour of FinFET. High-K dielectric material oxide and metal gate contact of high w...
Conference Paper
Full-text available
This paper presents a low leakage pocket Si x -Ge 1-x , junction-less tunnel FET suitable under low voltage region. Junction-less single-gate TFET expolits the steep subthreshold characteristics of tunnel FET as well as the high on current due to junction-less behaviour. Pocket region(5nm) of narrow band gap material Si x -Ge 1-x , decreases tunnel...
Article
Full-text available
To predict the mobile user future behavior and on that basis giving service recommendations
Presentation
This presentation is about the basic component of Real-Time operating system and its application.
Presentation
Full-text available
This presentation explains data warehouse strategy and planning aspects.
Article
Full-text available
Drawbacks with the OMR the technique is that it cannot process thin quality papers and low printing precision answer sheets. This paper analyzes a new technique that overcomes the limitation of the OMR process. It scans the hard copies of papers which are designed and marked in a specific template and saves that scanned copy in JPEG format, then id...
Conference Paper
Full-text available
The article explores the impact of E-commerce on young generation. Indian E-Commerce market is growing faster and expected to see tremendous growth over next few years. The E-commerce industry has experienced unprecedented growth with its total revenue increasing over 60 times between
Article
Full-text available
Biometrics technologies are gaining popularity today since they provide reliable and efficient means of authentication and verification. Our dependency on electronic devices is growing, and so is our need to secure information on them. Keystroke Dynamics is one of the famous biometric technologies, which identifies the authenticity of a user when t...

Questions

Questions (27)
Question
As we know the demand for core branches like mechanical and electrical is slowly diminishing, I am really curious to know how far information technology will go or when it will start to decline.
Question
different problems that a user faces while retrieving some information from existing IR systems, what affects the performance of IR systems in terms of speed and accuracy?

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Cited By

Projects

Projects (6)
Project
to design and develop an efficient framework for the extraction of useful information from a text corpus.
Project
Design and development of the framework and designing an efficient topic extraction algorithm that works well with large-scale text datasets.