PS

Parul Singhal@8595490988, W-8630939452

Also known as: Parul Ma'am

ABES Engineering College: Ghaziabad, Uttar Pradesh, INDIA, 201009, Maharaja Agarsain Institute of Technology

ORCID iD 0000-0001-8911-7018

About

Parul Singhal received her B.tech. degree @AKTU Univ. Lucknow, 2016. Currently, pursuing M.Tech. final year student of CSE in ABESEC, Ghaziabad with renowned Professor Rohit Rastogi of ABESEC. She was a Teaching Assistant in the CSE department of ABES Engineering(2018-2019). Ghaziabad, India. She is working presently on data mining (DM) and machine learning (ML). She is also working on TTH and stress. She has a keen interest in Google surfing. Her hobbies are playing badminton and reading books. She is young, talented and dynamic.At present, she is engaged to reestablish Science of Yajna and Mantra Therapy of Indian Vedic Culture. Her many Papers have been published at the major indexing services like UGC , Scopus and etc. Keeps herself engaged in various competitive events, activities, webinars,
seminars, workshops, projects and various other teaching Learning forums. Awarded in different categories by ABES-EC and other institutions, Gzb. College management for improved learning. Participated and presented research papers in various Science and Management areas in around 5 Book Chapters ,4 National and 5 International Journals and 1 International conferences including prestigious IEEE and Springer. Won Best Paper, Improved Teaching Learning, Significant Contribution awards and many Certificates of Appreciations. She has guided to students in their project work students of UG . Her research interests include Internet of Things, Big Data Analytics, Cloud Computing , Networking , Artificial Intelligence and Machine Learning, Text Mining, Databases. At present. Her some papers https://ssrn.com/abstract=3354375 as of till date were recently listed on SSRN Top Ten download list for: AARN: Health & Illness (Topic) and AARN: Health Care Approaches (Sub-Topic) .Appreciated by Editors of Different Journals for her fast and quality papers presentations.

Employment

  • ABES Engineering College: Ghaziabad, Uttar Pradesh, INDIA, 201009 Teaching Assistant
    2018 - 2019

Education

  • Maharaja Agarsain Institute of Technology B.Tech
    2012 - 2016

Projects & Funding

Projects & funding information is unavailable.

Publications (12)

  • Study of Asian Diabetic Subjects Based on Gender, Age and Insulin Parameters
    Elsevier IoT_Healthcare_2020, Healthcare Paradigms in The Internet of Things Ecosystem PUBLICATIONS 2020
    +Save
  • Study on South Ashian Diabetic Subjects on Different Attributes: A Statistical Approach Book On Advanced Deep Learning Applications in Big Data Analytics
    Book On Advanced Deep Learning Applications in Big Data Analytics 2020
    +Save
  • Intelligent Establishment of Correlation of TTH and Diabetes Mellitus on Subject’s Physical Characteristics
    Big Data Analytics and Intelligence: A Perspective for Health Care 2020
    +Save
  • Investigating Correlation of Tension Type Headache and Diabetes: IoT Perspective in Health care
    INTERNET OF THINGS FOR HEALTHCARE TECHNOLOGIES 2020
    +Save
  • Yajna and Mantra Science on Healthcare Domain: A Futuristic Scientific Approach with Indian Scenario
    Fog Computing for Healthcare 4.0 Environments: Technical, Societal, and Future Implications 2020
    +Save
  • Analytical Study of Large Scale Household Yagya Effects on Ambient Air Pollution: A study in NCR, India
    Mathematical Models of Infectious Diseases and Social Issues 2020
    +Save
  • Investigating Diabetic Subjects on Their Correlation with TTH & CAD: A Statistical Approach on Experimental Results
    Opportunities and Challenges in Digital Healthcare Innovation 2020
    +Save
  • Surveillance of Type –I & II Diabetic Subjects on Physical Characteristics: IoT and Big Data Perspective in Healthcare @NCR, India
    Internet of Things (IoT) Concepts and Applications Springer Nature Book 2020
    +Save
  • A Conceptual Approach for Framework to Design Radar System Using Arduino with Initial Experiments
    Advances in Intelligent Systems and Computing 2020 DOI: 10.1007/978-981-15-2449-3_4
    +Save
  • Inference-Based Statistical Analysis for Suspicious Activity Detection Using Facial Analysis
    Advances in Intelligent Systems and Computing 2020 DOI: 10.1007/978-981-15-2449-3_3
    +Save