Information Technology Faculty

AKANKSHA NAIK
 

AKANKSHA NAIK

  • Assistant Professor

  • Date of Birth :01/12/1996

  • Qualification : ME

  • Email : akankshanaik@sfit.ac.in

  • Phone : 02228928585

  • Area of Interest :  Image Processing, Digital Electronics, Internet of Things (IoT), Cyber Security


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Academic Background

  • M.E. Electronics and Telecommunication, VES Institute of Technology Mumbai, 2021, Thesis Title: Abnormality Detection in Vision using Image Processing.
  • B.E. Electronics and Telecommunication, Shree L.R Tiwari College of Engineering Thane, 2018, Project: Renewable Punches
  • Diploma Larsen and Toubro Institute of Technology Mumbai, 2015, Project: Automatic Release Testing Mechanism of Air Circuit Breaker

Work Experience

  • Assistant Professor in IT Department at SFIT (11/1/2023 - Till Date)
  • Junior Research Fellow at VES Institute of Technology: 1.5 years

  1. Akanksha Uday Naik and Ramesh K. Kulkarni, "Detection of Diabetes and Its Lesions Using Image Processing", 2nd International Conference on Image Processing and Capsule Networks (ICIPCN), vol 300., pp. 617–634, September, 2021.

  2. Akanksha Uday Naik and Ramesh K. Kulkarni, "Detecting Lesions of Diabetic Retinopathy and Classifying Its Stages using KNN Classifier", Journal of Huazhong University of Science and Technology, Volume-50 Issue 06-2021, pp. 1-11, June, 2021.

  3. Akanksha U. Naik and Ramesh K. Kulkarni, "Artifical Neural Network-based Detection of Diabetes and its Effects on Vision- A Survey", 5th International Conference on Communication and Electronics Systems (ICCES), , pp. 1113-1118, July, 2020.

    No Data Available.

UG Level

Ethical Hacking and Digital Forensics, Laboratory based on IoT, Sensor Lab, Infrastructure Security, Software Application Development Lab, Security Lab

Workshop / Seminar / STTP Attended

  • Attended 5 Days "ISTE approved Online/SF-STTP/FDP Programme on “Cultivating The Future of Healthcare with Generative AI”" organized by St. Francis Institute of Technology, Mumbai, Maharashtra. from 11th Dec - 15th Dec, 2023 at Online.
  • Attended 5 Days "Faculty Induction Programme (FIP '23)" organized by Department of Basic Science and Humanities (FE) from 03rd Jul - 07th Jul, 2023 at St. Francis Institute of Technology.
  • Attended 1 Week "Cyber Security and Forensics" organized by K J Somaiya Institute of Technology and Ramrao Adik Institute of Technology from 19th Jun - 24th Jun, 2023 at Online Mode.
  • Attended 5 days "Data Analytics using Power BI" organized by G Narayanamma Institute of Technology and Science (for women) in Collaboration with ExcelR. from 20th Mar - 24th Mar, 2023 at Online.
  • Attended 1 week "AICTE-ISTE approved STTP on Machine Learning and Deep Learning" organized by VES Institute of Tecjnology from 30th Dec - 04th Jan, 2020 at VES Institute of Technology.
  • Attended 2 weeks "AICTE sponsored Faculty Development Programme on Pedagogy of Signal Processing and its Applications" organized by Ramrao Adik Institute of Technology from 09th Dec - 20th Dec, 2019 .
  • Attended 1 Week "ISTE approved STTP on Green Internet of Things" organized by VES Institute of Technology from 02nd Jan - 08th Jan, 2019 .