Universal Engineering College

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Faculty Profile

Enrolment ID 2263
Name Sneha Haridas
Designation Assistant professor
Date of Joining 12/08/2024
Contact Email sneha.haridas@uec.ac.in
Qualification Mtech CSE
Experience In Years .5 years
Area of Interests Machine learning, Deep learning, Blockchain
Area of Specialization Computer Science and Engineering

Education Summary

Degree Specialization Institute University Year of Pass
M.Tech Computer Science and Engineering Vidya Academy of Science & Technology APJ Abdul Kalam Technological University 2022
B.Tech Computer Science and Engineering Sahrdaya College of Engineering and Technology APJ Abdul Kalam Technological University 2020

Employment History

Designation Institute Duration
Assistant Professor Vidya Academy of Science & Technology 6 months

Journals

  1. BLOCKCHAIN BASED FOOD SAFETY , volume 5, Issue 5 In
    International Journal of Innovative Science and
    Research Technology (2019 – 2020)
  2. FOOD SAFETY USING BLOCKCHAIN , volume 3| Issue 1 of
    HBRP in Recent Trends in Information Technology and
    its Application (2019 – 2020)
  3. AUTOMATIC LIGHT TURN ON/OFF SYSTEM volume 3|
    Issue-4 In International Journal of Trend in Scientific
    Research and Development (2018 – 2019)
  4. “DETECTION AND CLASSIFICATION OF INDIAN CLASSICAL BHARATHAN
    ATYAM MUDRAS USING ENHANCED DEEP LEARNING
    TECHNIQUE” in  the Third International Conference on
    Innovation in Science and Technology for Sustainable
    Development sponsored by IEEE Kerala section

Current Responsibilities

  1. NBA Criteria -9 coordinator

Department Responsibilities

  1. NBA Criteria -9 coordinator
  2. Mentoring

Conferences

  1. Presented a paper entitled “FOOD SECURITY USING
    BLOCKCHAIN” in International Conference on
    Sus tainable Technology Applications For Green Energy
    Solutions organised by NSS College of Engineering,
    Palakkad.
  2. Presented a paper entitled “BLOCKCHAIN BASED FOOD
    SAFETY” in National Conference On Innovations In
    Computing organised by Sahrdaya College of
    Engineering and Technology, Kodakara
  3. Presented a paper entitled “DETECTION AND
    CLASSIFICATION OF INDIAN CLASSICAL BHARATHAN
    ATYAM MUDRAS USING ENHANCED DEEP LEARNING
    TECHNIQUE” in the Third International Con ference on
    Innovation in Science and Technology for Sustainable
    Development organized by College of Engineering,Perumon, sponsored by TEQIP-II and technically co-
    sponsored by IEEE Kerala section