Dr. Seema Prashant Nehete

About

Dedicated Assistant professor with doctorate in machine learning and Big data Analytics having 20+ years of teaching experience in department of Computer Engineering and Information Technology.Currently working as Assistant professor in department of Computer Engineering at Don Bosco Institute of Technology,Kurla.

Machine learning and Big Data Analytics specialist

Currently working as an Assistant professor in Don Bosco Institute of Technology, Kurla.

  • Degree: Ph.D Computer Engineering
  • Email: seema@dbit.in
  • City: Mumbai
  • Mobile Number: +91 8080787154

Motivated and accomplished Ph.D. in Computer Engineering with a strong research background in machine learning, and big data analytics. Proven experience in designing and delivering undergraduate courses in Data mining and Business Intelligence, Big Data Analytics ,Artificial Intelligence and Data science. Published 20+ research articles in high-impact journals and conferences. Skilled in mentoring students and fostering collaborative research initiatives. Passionate about advancing knowledge in computer engineering through innovative research and impactful education.

Skills

PHP 90%
Python 90%
SQL 90%
AWS(Devops/Adv Devops tools) 70%

Resume

I am currently an Educator at Don Bosco Institute of Technology(DBIT), Mumbai.

Sumary

Dr. Seema Prashant Nehete

  • Mumbai, India
  • +91 8080787154
  • seema@dbit.in

Education

Ph. D. Computer Engineering

2022

Datta Meghe College of Engineering, Airoli

University of Mumbai

M.E. Computer Engineering

2012

Vidyalankar Institute of Technology,Wadala

University of Mumbai

First Class With Distinction

B.E. Computer Engineering

2003

Konkan Gyanpeeth College of Engineering,Karjat

University of Mumbai

First Class

Professional Experience

Teaching: 21 years

Assistant Professor in Department of Computer Engineering

2025 - Present

Don Bosco Institute of Technology

Assistant Professor in Department of Information Technology

2005 - 2024

Datta Meghe College of Engineering

Lecturer in Department of Computer Engineering

2004 - 2005

Datta Meghe College of Engineering

Research Areas

Big Data Analytics,Machine Learning, Data Science

Recognition/ Achievements

Member of syllabus setting committee

2024

NEP oct 2024 sem 3

University of Mumbai

Member of Syllabus Setting committee

2024

TE-I.T-Sem V

University of Mumbai

Paper setter- external member for BDA

2024

K. J. Somaiya Institute of Technology,Sion SIES Institute of Technology

Chairperson for paper setting

TE-I.T-Sem V

University of Mumbai

Session Chair

ICATE

DMCE, Dept. of Electronics Engg.

Reviewer

  • RASET2023, Cummins College of Enginering,Nagpurc
  • SPICON 2022, Sardar Patel College of Engineering,Andheri
  • ICAITR 2021, Vidyalankar Institute of Technology,Wadala
  • ICCTAW 2020, Atharv College of Engineering,Mumbai
  • ICCDW 2020, Atharv College of Engineering,Mumbai

Judge

TECHEXPO 23

Datta Meghe College of Engineering

Resource person for faculty Orientation program

R19-TE-IT-V

University of Mumbai,SSJCOE

Resource person for FDP on Big Data Analytics

July 2024

Dept of AIDS,DMCE

Resource person for FDP on Deep Learning

22 Aug 2024

Dept of ETRX,DMCE

Software Development

Software project developed as an ERP solution,

Timetable Generation Module for all departments

Timetables of all the departments are displayed on the website using timetable product for all semesters. Main ,class, classroom, lab ,slot and individual timetable of respective departments are displayed on the college website and ERP. Students can access timetables anywhere anytime. It is also helpful to the Principal and head of the departments to track the faculties and students.The system was developed in PHP and MYSQL.

Publications

Patents

  • A METHOD AND SYSTEM FOR PASSING ENCRYPTED MESSAGES THROUGH TEXT

    2023

    Application Number: 202331079221 A

  • AN INTEGRATED SENTIMENT ANALYSIS SYSTEM ON SOCIAL MEDIA PLATFORMS USING MACHINE LEARNING METHODS

    2024

    202331089650

  • SYSTEM AND METHOD FOR PRESERVING PRIVACY THROUGH CONTEXT AWARE PERSONALISED TECOMMENDATION SYSTEM USING FEDERATED LEARNING

    2024

    202441004831A

Publications

International publication/ journals

  • Nehete, Seema P., and Satish R. Devane. "Confirmed quality aware recommendations using collaborative filtering and review analysis." International Journal of Computer Applications in Technology 68.1 (2022): 39-48.
  • Nehete, Seema P., and Satish R. Devane. "Need of sentiments analysis with CF for quality recommendations." European Journal of Electrical Engineering and Computer Science 5.2 (2021): 1-5.
  • Pande, Kuldeep, et al. "Improvement of Bit Error Rate performance with receive diversity using reinforcement learning for AWGN channel."
  • Peshattiwar, Atish, et al. "Study of Effect of Electromagnetic Radiation on the Environment using Deep Learning Method."
  • Analysis of Stock Market Predeiction using various Machine Learning Techniques
  • Performance Analysis of 5G Wireless network for Vehicular Communication using Machine Learning
  • Foodhub:Food Delivery Application
  • Email spam detection using LSTM
  • Adaptive enhanced digital audio steganography using wavelets with secure optimum pixel adjustment algorithm
  • Digital audio steganography using DWT with reduced embeddind error and better extraction compared to DCT
  • Therapy Chatbot Powered by Artificial Intelligence: A Cognitive Behavioral Approach
  • Recommendation systems :Past ,Present and Future
  • An Introduction to trustworthy virtualisation by providing secured hypervisor using non bypassable memory lockdown and restricted pointer indexing
  • Green computing (cloud computing )by shared resources with security issues and solutions

National Conferences

  • An overview of genetic algorithmon motion planning for Robot”
  • An overview of OLAP technology”
  • “OLAP and Object queries”
  • “Planning for robot-an overview”
  • Fingerprint feature extraction and enhancement using gabor filter implementation ”
  • Adaptive enhanced digital audio steganography using wavelets with secure optimum pixel adjustment algorithm
  • Sentiment Analysis and Algorithms
  • Plant Disease and Detection

Book Chapters

  • Improving Performance of Collaborative Filtering

    ICT for Competitive Strategies 5 May 2020, CRC Press, taylor and francis

  • Diet Management for Diabetes patients using AI

    Ambient Assisted Living Technologies: Transitioning from Healthcare 4.0 to Healthcare 5.0

    CRC Press, taylor and francis

Technical Certifications

NPTEL

  • Data Science for Engineers
  • Data Mining
  • Big Data Computing
  • Data Analytics using Python

ATAL

  • Introduction to IOT and Machine learning Essential skills for smart cities and mobility
  • Integration of Blockchain and artificial Intelligence for enhanced supply chain management

Swayam-Spoken Tutorial certifications

  • R Programming
  • Python 3.4.3

Contact

Location:

Mumbai, India

Call:

+91 8080787154

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