ABHISHEK UPADHYAY

About

Abhishek Upadhyay is a passionate and dedicated Ph.D. pursuing research scholar with a strong commitment to advancing knowledge in Deep Learning and Natural Language Processing. Currently enrolled in the doctoral program at Malaviya National Institute of Technology, Jaipur. He actively engaged in cutting-edge research to contribute to the understanding and development of the research domain. He is a research scholar in the field with a commitment to advancing knowledge and driving scientific discovery.
Beyond his research endeavors, Abhishek upadhyay actively engages in academic and professional communities, participating in seminars, workshops, and discussions to expand NLP knowledge and network. He also demonstrates excellent communication and presentation skills, which he utilizes to disseminate his research findings and engage with peers. Driven by a passion for research excellence, Abhishek upadhyay aspires to make meaningful contributions to NLP and Information retrieval and contribute to the advancement of scientific knowledge. Through his ongoing Ph.D. journey, he seeks to expand the boundaries of understanding in NLP, fostering innovation and pushing the frontiers of Deep Learning on textual data.

Employment

Employment history is unavailable.

Education

• Malaviya National Institute of Technology Jaipur Doctor of Philosophy
  2021 - Present
• International Institute of Information Technology Master of Technology
  2018 - 2020

Projects & Funding

Projects & funding information is unavailable.

Publications (5)

• EJMACC: Emotion Aided a Joint Learning Approach for Multi-aspect Crisis Event Classification
  Expert Systems with Applications 2025 DOI: 10.1016/j.eswa.2025.127597
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• SatCoBiLSTM: Self-attention based hybrid deep learning framework for crisis event detection in social media
  Expert Systems with Applications 2024 DOI: 10.1016/j.eswa.2024.123604
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• Multi-document Summarization Using Deep Learning
  Smart Innovation, Systems and Technologies 2021 DOI: 10.1007/978-981-15-5971-6_20
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• Overview of Amalgam Models for Type-2 Diabetes Mellitus
  Lecture Notes in Networks and Systems 2021 DOI: 10.1007/978-981-15-9712-1_48
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• Automatic detection of fracture in femur bones using image processing
  2017 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS) 2017 DOI: 10.1109/iciiecs.2017.8275843
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