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Ameyaa Biwalkar

Assistant Professor
M.Tech ( I.T.), B.E (Electronics Engg.)
Specialization: Embedded Systems, Analog and Digital Communication, Internet of Things

basant-mohanty

Education

·M.Tech in Information Technology from NMIMS (MPSTME) in 2015

·B.E in Electronics from University of Mumbai in 2013

Academic experience

·Working at NMIMS (MPSTME) as Assistant Professor from 1st July 2017 to till date Worked at D.J Sanghvi College of Engineering as Assistant Professor (adhoc) from 4th June 2016 to 19th June 2017

Non-academic experience

·Worked at iGate Intern from 11thJune 2014 to 22nd Sept 2014

Certifications or professional registrations:

  • National Programme on Technology Enhanced Learning (NPTEL) by the Indian Institute of Technology (I.I.T.): Introduction to Machine Learning and The Joy of Computing using Python
  • Coursera: Machine Learning with Python IBM, Predictive Analysis and Data Mining, Programming for Everybody
  • Faculty development program on Embedded Systems at I.I.T. Guwahati
  • Short-term training program on Insights of Machine Learning and Deep Learning organized by Dwarkadas J. Sanghvi College of Engineering
  • AICTE approved STTP on Natural Language Processing with Google AI and Dialogflow and its applications

Honors and awards

Certificate of Honour,1stRank, MPSTME, Mumbai 2015

Award for meritorious students,1stRank, Atharva College of Engineering, Mumbai

Service activities (within and outside of the institution):

Research mentor for various Data analysis and Machine leaning projects

Guest Speaker, D.J Sanghvi College of Engineering, October 2017

Guided Btech students for Final year Project (Home Control) at MPSTME (2017-18)

Guided Btech students for Final year Project (Vertical Smart Farming) at MPSTME (2018-19)

Faculty Mentor for two Final Year MCA students at MPSTME (2017-18)

Faculty Mentor for five Final Year MCA students at MPSTME (2018-19)

Conducted 4 day workshop on IET- Python and Basics of Machine learning (4th Sept to 7th Sep 2018)

Invited as Judge for IET’s PATW 2018 - Mumbai Regional Round at MPSTME on Feb 18th, 2018

Organized the ‘Software and Hardware Project Competition’ on 29th and 30thMarch 2019 along with IET MPSTME on Campus

TPC Member for 3rd International conference on Advances in Computing and Data Sciences ICACDS 2019

Faculty mentor for Research cell Mentor mentee Program

Faculty mentor for BTI Mentor mentee Program

Invited as a Judge for HACK- N-CODE 2.0 NMIMS New Building, 7th Oct 2018 IET MPSTME On Campus in collaboration with technical fest TAQNEEQ 11.0 in association with HackerEarth.

Invited as a Judge for Android Competition TAQNEEQ

Faculty TIP Mentor for MBA Tech Students (2017-18)

Faculty for Infosys Campus Connect program (2017-18) and (2018-19)

Service activities (within and outside of the institution):

Research mentor for various Data analysis and Machine leaning projects

 

Briefly list the most important publications and presentations from the past five years:

IEEE Scopus indexed papers:

  • A. Biwalkar, R. Gupta and S. Dharadhar, "An Empirical Study of Data Mining Techniques in the Healthcare Sector," 2021 2nd International Conference for Emerging Technology (INCET), 2021, pp. 1-8, doi: 10.1109/INCET51464.2021.9456157
  • S. Mondal, D. Maheshwari, N. Pai and A. Biwalkar, "A Review on Detecting Phishing URLs using Clustering Algorithms," 2019 International Conference on Advances in Computing, Communication and Control (ICAC3), 2019, pp. 1-6, doi: 10.1109/ICAC347590.2019.9036837.
  • A. Gaodida, H. Koppisetty, K. Potdar and A. Biwalkar, "Aiding Speech Therapy Using Audio And Video Processing," 2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE), 2020, pp. 1-5, doi: 10.1109/CSDE50874.2020.9411576.
  • S. A. Desai, P. D. Mistry, J. P. Kahar, A. S. Modak and A. Biwalkar, "A Novel Implementation of an Interactive Smart Mirror," 2021 6th International Conference on Communication and Electronics Systems (ICCES), 2021, pp. 184-191, doi: 10.1109/ICCES51350.2021.9489060.

Web of Science paper in Taylor and Francis Journal of Discrete mathematical sciences and cryptography

  • Sethi L, Dave A, Bhagwani R, Biwalkar A. Video security against deepfakes and other forgeries. J Discrete Math Sci Cryptogr. 2020;23:349–63.

Book chapter

  • Taylor and Francis book Knowledge Modelling and Big Data Analytics in Healthcare - ‘Clinical Decision Support Systems and Computational Intelligence for Healthcare industries’

Currently accepted research papers:

  • Real or Fake: An intrinsic analysis using supervised machine learning algorithms (5th IEEE ISMAC 2021 conference)
  • East meets West: Sentiment analysis for election prediction (Springer ICCCMLA 2021 conference)

Briefly list the most recent professional development activities

One week STTP AICTE-ISTE approved on Insights of Machine learning and Deep Learning, D. J Sanghvi College of Engineering, 2nd July 2018 to 6th July 2018

7 day FDP on Embedded systems, conducted by E&ICT Academy at IIT Guwahati , 19th April 2018 to 25th April 2018

3 day FDP on Python programming, Conducted by Computer Department NMIMS,13th July -15thJuly 2017

           
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