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Dr. Rupali Pankaj Patil

Associate Professor at K J Somaiya School of Engineering
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Faculty
  • Department:
    Electronics & Telecommunication
  • Institute:
    K J Somaiya School of Engineering
  • Location:
    Vidyavihar - Mumbai
  • Email Address:

    rupalipatil@somaiya.edu

  • Contact Details:

    Mobile No. : 9820993651

    Landline No. : A-216

    Extension No. : 022-66449318

  • Office Address :

    #A-216, SECOND FLOOR-ARYABHATTA BUILDING ELECTRONICS AND TELECOMMUNICATION DEPARTMENT, K.J. SOMAIYA School of Engineering, VIDYAVIHAR-400077

  • Timings For Visitors:

    Mon-Fri 10 am to 6 pm

  • Curriculum Vitae
Curriculum Vitae
Faculty Login

(To update profile)

  • personal profile
  • Research Accomplishments
  • Projects

Introduction

DR. RUPALI PANKAJ PATIL IS A DOCTORATE FROM MUMBAI UNIVERSITY AND CURRENTLY WORKING AS AN ASSISTANT PROFESSOR IN THE ELECTRONICS AND TELECOMMUNICATION DEPARTMENT AT K.J. Somaiya School of Enginering. DR. RUPALI HOLDS A PH.D. DEGREE IN ELECTRONICS AND TELECOMMUNICATION FROM THE UNIVERSITY OF MUMBAI. DURING HER PH.D. WORK, SHE HAS DEVELOPED A METHODOLOGY FOR EXTRACTION OF ONE-DIMENSION (1-D) SIGNAL FROM DEGRADED DOCUMENTED SIGNAL RECORDS LIKE ECG, RAINFALL DATA ETC. THE ELECTRONIC DATABASE OF HISTORICALLY DOCUMENTED SIGNALS CAN ACT AS A DATASET FOR VARIOUS MACHINE-LEARNING ALGORITHMS FOR DIAGNOSIS IN CASE OF CHRONIC PROBLEMS OR THE PREDICTION OF ATMOSPHERIC DISASTERS AND FOR RESEARCH ORGANIZATIONS IN VARIOUS RETROSPECTIVE STUDIES.

DR. RUPALI IS CURRENTLY APPROACHED BY STEMI (EUROPE) FOR EXTRACTION OF ECG SIGNAL FROM CAMERA CAPTURE PAPER ECG RECORDS. SHE IS GUIDING TWO MTECH. STUDENTS IN THE AREA OF PLANT DISEASE DETECTION USING MACHINE LEARNING AND TIMING SIGNAL GENERATION FOR HF RADAR (UNDER SAMEER). SHE HAS FIVE PUBLICATIONS IN PEER-REVIEWED JOURNALS AND FEW WAITING FOR THE RESPONSE. SHE HAS PUBLISHED RESEARCH PAPER FOR PREDICTION OF COVID-19 CASES FOR NON-CONVERGED COUNTRIES. SHE HAS NINE CONFERENCE PUBLICATIONS.

SHE IS GRADUATE IN ELECTRONICS AND TELECOMMUNICATION ENGINEERING FROM GOVT. COLLEGE OF ENGINEERING, JALGAON (NORTH MAHARASHTRA UNIVERSITY) AND POSTGRADUATE IN ELECTRONICS ENGINEERING FROM RAMRAO ADIK INSTITUTE OF TECHNOLOGY (MUMBAI UNIVERSITY). SHE HAS FOURTEEN YEARS OF EXPERIENCE IN THE TEACHING FIELD.

HER CORE AREAS OF EXPERTISE ARE SIGNAL PROCESSING, MACHINE VISION, DEEP LEARNING, DATA SCIENCE, MACHINE LEARNING, NATURAL LANGUAGE PROCESSING

SUBJECT SPECIALIZATION:  ELECTRONICS ENGINEERING, TELECOMMUNICATION ENGINEERING, MACHINE LEARNING, IMAGE PROCESSING AND COMPUTER VISION.

Education

M.E.,Mumbai University,2008

Ph.D.,Mumbai University,2020

Professional Experience

    Academic

  • K J Somaiya School of Engineering, Assistant Professor, January 2007 - Present
  • Ramrao Aadik institute of Technology (Mumbai University), Lecturer, January 2006 - January 2007
  • Non Academic

Courses/Subjects Teaching

  • MOBILE COMMUNICATION SYSTEMS
  • IMAGE PROCESSING
  • WIRELESS NETWORK
  • PROJECT-I
  • PROJECT-II
  • DIGITAL ELECTRONICS
  • SIGNALS AND SYSTEM
  • SOFTWARE SIMULATION LABORATORY
  • DIGITAL COMMUNICATION
  • RANDOM SIGNAL ANALYSIS

Research Specialisation

  • Artificial intelligence
  • Machine Learning
  • Image Processing
  • Signal Processing
  • Embedded systems with Deep Learning
  • Image & Signal Processing
  • Data Science, Algorthims & Analysis

Consultancy Expertise

    No Information Available

Consultancy Projects

    No Information Available

Achievements, Recognitions & Awards

MDP / FDP

  • CCNAv7: Enterprise Networking, Security, and Automation

  • CCNAv7: Switching, routing and Wireless essentials

  • CCNAv7: introduction to Networks

  • NPTEL FDP on Python for Data Science

  • CISCO online course on introduction to Cyber Security

  • AWS exposure course by AWS academy

Research Papers

Rupali Patil.(2021).COVID-19 cases prediction using regression and novel SSM model for non-converged countries.Journal of Applied Science, Engineering, Technology, and Education,3(1):74-81.https://doi.org/10.35877/454RI.asci137
Rashi Shah & Rupali Patil.(2020).Machine Learning based Approach for Detection of Cyberbullying Tweets.International Journal of Computer Applications (IJCA),175(37):52-57.
Rupali Patil & Ramesh Karandikar.(2018).Image digitization of discontinuous and degraded electrocardiogram paper records using an entropy-based bit plane slicing algorithm.Journal of Electrocardiology,51(4):707-713.https://doi.org/10.1016/j.jelectrocard.2018.05.003
Rupali Patil, Rupali Patil, Ramesh Karandikar & Ramesh Karandikar.(2017).Robust algorithm for digitization of degraded electrocardiogram paper records.ICTACT Journal on Communication Technology,8(3):1604-1609.http://doi.org/10.21917/ijct.2017.0236

Proceedings

Shradha S. Pradhan & Rupali Patil.Comparison of Deep Learning Approaches for Plant Disease Detection..International Conference on Wireless Communication,SVKM’s D J Sanghvi College of Engineering, Vile Parle , Mumbai,October11-12,2019.
Rupali Patil & Nishant Gada.Twitter Data Visualization and Sentiment Analysis of Article 370.2019 International Conference on Advances in Computing, Communication and Control (ICAC3),Mumbai, India,December20-21,2019.
Rupali Patil & Ramesh Karandikar.Digitization and Parameter Extraction of Preserved Paper Electrocardiogram Records..INTERNATIONAL CONFERENCE ON SOFT COMPUTING & SIGNAL PROCESSING,MALLA REDDY COLLEGE OF ENGINEERING &TECHNOLOGY, Hyderabad, India,June22-23,2018.
Rupali Patil & Ramesh Karandikar.Digital signal preservation approaches of archived biomedical paper records—A review.In 2016 5th International Conference on Wireless Networks and Embedded Systems (WECON),Chitkara University, Punjab, India,October14-16,2016.
Rupali Patil & Ramesh Karandikar.Digitization of documented signals using vertical scanning.In 2015 International Conference on Microwave, Optical and Communication Engineering (ICMOCE),,IIT Bhubaneswar, India,December18-20,2015.

Books

No Information Available

Book chapters

No Information Available

IPR

No Information Available

Image & Signal Processing

Digitization of ECG paper records using waveform extraction and conversion into 1D signals.

September 2020

Signal Processing

OCR (Optical Character Recognition)

December 2020

Machine Learning

Prediction of new COVID-19 patients count using Machine Learning

December 2020

Signal Processing

Robotic motion planning in dynamic situation

December 2020

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