Surendrabikram Thapa

Surendrabikram Thapa
Virginia Tech (Virginia Polytechnic Institute and State University) | VT · Department of Computer Science

Master of Science
Using deep learning to improve healthcare analytics and fintech!

About

21
Publications
10,163
Reads
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236
Citations
Citations since 2017
21 Research Items
236 Citations
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Introduction
I am a graduate student at Virginia Tech, USA. I also work at Virginia Tech Transportation Institute. I was a visiting scholar at the University of Technology Sydney, Australia in 2019. I have worked with multiple research labs like CERN, Switzerland, and CEERI, Pilani. I have publications in international journals and conferences like EMNLP, IJCNN (IEEE), ICONIP (Springer), R10 HTC, IJHCS, and multiple other venues. I am currently working on NLP and computer vision.
Additional affiliations
August 2020 - present
Central Electronics Engineering Research Institute
Position
  • Intern
July 2020 - August 2020
CERN
Position
  • Openlab Student
May 2019 - August 2019
University of Technology Sydney
Position
  • Visiting Scholar
Description
  • During my association with the University of Technology, Sydney, Australia, as a visiting scholar, we worked on building predictive models for early detection of Alzheimer’s disease.
Education
August 2017 - May 2021
Delhi Technological University
Field of study
  • Software Engineering

Publications

Publications (21)
Conference Paper
Full-text available
With growing number of ageing population, Parkinson's disease has become a serious problem to huge fraction of people above 60. The disease severely affects the motor system and can lead to death of the patients. There is no cure available for the disease. The symptoms on motor system is seen very late which leads into difficulty in management of t...
Conference Paper
Full-text available
Alzheimer's disease (AD) is a neurodegenerative disorder resulting in memory loss and cognitive decline caused due to the death of brain cells. It is the most common form of dementia and accounts for 60-80% of all dementia cases. There is no single test for diagnosis of AD, the doctors rely on medical history, neuropsychological assessments, comput...
Article
Full-text available
Alzheimer's disease (AD) is considered as progressing brain disease, which can be slowed down with the early detection and proper treatment by identifying the early symptoms. Language change serves as an early sign that a patient's cognitive functions have been impacted, potentially leading to early detection. The effects of language changes are be...
Chapter
Full-text available
In the current world of competition and constant struggle, taking care of mental well-being is of the upmost importance. With hundreds of millions of people suffering from mental disorders like depression, Alzheimer disease, schizophrenia, etc. each year, intelligent systems are needed that can diagnose, track, and manage the mental well-being of i...
Article
Full-text available
Data sharing across disciplines helps to build collaboration, and advance research. With recent development in data-driven models, there is an unprecedented need for data. However, data collected from human research subjects are required to follow proper ethical guidelines. Researchers have an obligation to protect the privacy of research participa...
Chapter
Full-text available
With the rapid advancement in the fields of computation and deep learning, the use cases of artificial intelligence in healthcare are blooming more than any time in history. In past years, it was supposed that only doctors and medical practitioners should handle the decisions in healthcare systems. With the rise of machine learning, the tables have...
Conference Paper
Full-text available
Alzheimer’s Disease (AD) is one of the most common forms of neuropsychological disorder in elderly people. It is a slow progressive disease affecting the brain cells. This affects the cognitive abilities of people and their daily activities. During the course of the disease, memory gets brutally affected too. Working as well as long-term declarativ...
Conference Paper
Full-text available
The internet has become a common platform for everyone to share their ideas and opinions. The user has freedom to post whatever he/she likes in social networking and blogging sites. However, sometimes the content when directed towards certain group of individuals with an intention to incite hate or discrimination, causes a turmoil in the society. S...
Chapter
Full-text available
In the present era of modernization, automation and intelligent systems have become an integral part of our lives. These intelligent systems extremely rely on parallel computing technology for computation. Field Programmable Gate Arrays (FPGAs) have recently become extremely popular because of its reconfigurability. FPGA, an integrated circuit desi...
Chapter
Full-text available
Propelled by the advancements in the field of Natural Language Processing, generating summaries of long texts using various NLP tools and techniques has always been a subject of great interest for scientists all over the world. Data is ubiquitous and a large amount of data is processed every second in the digital space. For these reasons also, mach...
Conference Paper
Full-text available
Phishing attacks are one of the most widespread problems over the internet. A lot of internet users fall into the hands of attackers every day which accounts into millions of dollars of fraud around the globe every day. The availability of the internet among people who don’t have the knowledge of cyber-attacks adds more to this problem. Thus, there...
Conference Paper
Full-text available
Urban planning, in short, deals with solving the problems of the modern society we live in. The problems are complementary to the growing population in today's society. The problems in society range from mundane tasks like ensuring sanitization in society to more technical tasks like managing infrastructures. The concept of smart cities, lately, ha...
Chapter
This paper introduces a unique and modified method to find the solution of the economic load dispatch (ELD) problem employing intelligent particle swarm optimization. Due to fierce competition in the electric power industry, environmental concerns, and exponentially increasing demand for electric power, it has become necessary to optimize the econo...
Chapter
Due to vicious competition in the electrical power industry, growing environmental issues and with an ever-increasing demand for electric energy, optimization of the economic load dispatch problem has become a compulsion. This paper emphasizes on a novel modified version of PSO to obtain an optimized solution of the economic load dispatch problem....
Conference Paper
Full-text available
The advancements in engineering and technologies have boosted the unprecedented development in the field of remote sensing. The amount of details modern satellites can capture carries immense value to a wide range of applications. Such high-resolution satellite imageries help us to generate a lot of information about the geography of the earth. Apa...
Conference Paper
Full-text available
Artificial Intelligence (AI) is considered to be the fourth industrial revolution. Arti ficial Intelligence with the hel p of big data has transformed all industries around the worl d. Arti ficial intelligence refers to the simulati on of human or ani mal intelligence in computational systems so that they are programmed to think like intelligent be...
Conference Paper
Full-text available
Compressive strength of the concrete is important for analyzing the characteristics of the concrete. The compressive strength is necessary to know if the given mixture of concrete meets the specified requirements. For the sustainability of construction, the compressive strength must meet the required standards. Machine learning models have been rea...
Conference Paper
Full-text available
Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has become an unprecedented public health crisis. To tackle this crisis in an effective way different computational solutions involving artificial intelligence and machine learning have been propounded by researchers across the world. Artifi...
Chapter
Alzheimer’s disease (AD) is the most common form of neurodegenerating disorder accounting for 60–80% of all dementia cases. The lack of effective clinical treatment options to completely cure or even slow the progression of disease makes it even more serious. Treatment options are available to treat the milder stage of the disease to provide sympto...
Conference Paper
Study of the ionosphere is important for research in various domains. Especially in communication systems, this study holds a great importance. In ionospheric research, there is a need to delineate useful and non-useful radar returns from the ionosphere. The useful radar returns can be used for further analysis and non-useful radar returns can be d...
Poster
Full-text available
Alzheimer’s disease (AD) which was first time identified and discussed by a German physicist and neuro-pathologist Alois Alzheimer has become one of the major problems of the world, especially for adults and older age population. According to the report by Alzheimer's Disease International in 2018, there were around 50 million people in the world l...

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Projects

Project (1)
Project
The goal is to develop intelligent systems for the diagnosis of neurodegenerative diseases.