Ameyaa Biwalkar

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

Non-academic experience –

·Worked at iGate Intern from 11^thJune 2014 to 22^nd 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,1^stRank, MPSTME, Mumbai 2015

●Award for meritorious students,1^stRank, 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 29^th and 30^thMarch 2019 along with IET MPSTME on Campus

●TPC Member for 3^rd 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,13^th July -15^thJuly 2017