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SRMIST Vadapalani
Dr. Sripriya Arunachalam

Dr. Sripriya Arunachalam

Assistant Professor

Department of Computer Science and Applications

Degree Specialization University/Institute Name, Year
Ph.D Cloud Forensic VELS Institute of Science Technology and Advanced Research, 2018
M.Phil Computer Science Pommaiyah Ramanujam Institute of Science and Technology, 2012
PG Degree Computer Application Bharathidasan University, 2000
UG Degree Computer Science University of Madras, 1997
  • Cloud Forensics and Secure Cloud Computing
  • Post-Quantum Cryptography for Cloud and Block chain Systems
  • Artificial Intelligence for Cybersecurity
  • Deep Learning Architectures for Intelligent Systems
  • Machine Learning for Predictive Analytics
  • Image Processing and Computer Vision Applications
  • Data Mining and Knowledge Discovery in Large Datasets
  • Block chain Security and Distributed Ledger Technologies
  • Optimization Algorithms in Wireless Sensor Networks
  • AI-driven Anomaly Detection Systems
  • Ph.D Degree – Cloud Forensic – VELS Institute of Science Technology and Advanced Research – 2018
  • PG Degree – Computer Applications – Bharathidasan University – 2000
  • UG Degree – Computer Science – University of Madras – 1997
  • Any other academic degree: M.Phil Computer Science
  • Area or Subject – Computer Science
  • University – Pommaiyah Ramanujam Institute of Science and Technology
  • Awarded Year – 2012
Experience Details
Academic Experience More than 18 years
Research Supervisor Research Supervisor at SRMIST Vadapalani
  • Smart Home Hub with Ambient Lighting Effects, Indian- Design Patent with Grant [Design No. : 425668-001] Design Patent with Grant [Design No. : 425668-001]02.08.202402.08.202
  • An Effective Security Enhancement Scheme for Post-Quantum Cryptography Based Blockchain Networks in Cloud Computing
    Automatic Control and Computer Sciences, Vol. 59, pp. 91–101, 2025.
    Published: 01 February 2025.
  • Modeling of Chimp Optimization Algorithm Node Localization Scheme in Wireless Sensor Networks
    International Journal of Reconfigurable and Embedded Systems (IJRES), Vol. 14, Issue 1, pp. 221–230, 2025.
    Published: 01 March 2025.
  • Predicting Schizophrenia from Clinical Data with Feature Selection and CNN–Logistic Regression Classification
    Rundschau, Vol. 12, pp. 23–51, 2025.
    Published: 01 April 2025.
  • Fuzzy Logic in the Digital Travel Era: Enhancing Tourist Experience Through Comprehensive Hotel Reviews and Sentiment Analysis
    Journal of Electrical Systems, Vol. 20, No. 56, pp. 1875–1886, 2024.
    Published: 01 April 2024.
  • Long-Term and Short-Term Traffic Flow Prediction with Different Weather Conditions Using Optimized Wheel-Graph Attention Based Neural Network
    Future Generation Computer Systems, Vol. 176, pp. 108–198, 2025.
    Published: 01 November 2025.
    • Books Published:
    • Title: Cloud Security Spatiotemporal Forensic Data Analysis
      Type: Book
      Publisher: Bonfiring
      ISSN/ISBN: 978-93-87862-78
      Year: 2019
    • Title: The Future Impact of Artificial Intelligence In The Life of Human Beings
      Type: Book Chapter
      Publisher: UDHAYAS SPNC Publication
      ISSN/ISBN: 978-93-91871-46-8
      Year: 2023
    • Title: Efficacy of Artificial Intelligence Techniques (Volume - 1)
      Type: Book Chapter
      Publisher: UDHAYAS SPNC Publication
      ISSN/ISBN: 978-93-91871-41-3
      Year: 2023
Workshops / Seminars / FDPs / STTP (Conducted / Attended)
  • Presented a paper entitled “Abuse Detection in Healthcare using Machine Learning in Artificial Intelligence”,Published(ISBN:978-81-986118-7-1) at INTERNATIONAL CONFERENCE ON Recent Trends in Computational Technologies and Sustainable Development Goals(ICRTCTS-2025)
  • AICTE Recognized Faculty Development Programme on“Artificial Intelligence and Optimisation Techniques using MATLAB”
  • AICTE Recognized Faculty Development Programme on“Outcome based Education and Accreditation Process”
  • AICTE Recognized Faculty Development Programme on “Cyber Security Awareness for Handling Social Media Vulnerabilities”
  • Participated a Hands on Workshop on” IOT Intelligent Automation with ESP8266”
  • Participated in the Five-Days Workshop “Deep Learning in Medical Imaging: Preprocessing, Segmentation and Optimization”
  • Pathways to Publications: Tools and Techniques for Indexed Journals
    Organized by MCC
    Date: 09/02/2026 to 14/02/2026
Online Courses Completed
  • Introduction To Machine Learning
  • Cyber Security and Privacy
  • Making Learning Engaging through Interactive Games
  • Introduction To Internet Of Things
  • Fundamental Algorithms: Design And Analysis,
  • Software Testing
  • Cloud Computing
Faculty Information

Name: Dr.Sripriya Arunachalam

Designation: Assistant Professor

Department: Computer Science and Applications

Affiliation: FSH

Contact Information

Email:sripriya1@srmist.edu.in

Google Scholar: Optional

Books Published
  • 03 books published
Memberships
  • Life Member in Indian Society for Technical Education(ISTE)
SRMIST Vadapalani
SRMIST Vadapalani

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