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2018
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1432 Nusrat Parveen | Computer Science And Business Systems | Doemumbai
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Computer Science And Business Systems

Faculty

Nusrat Parveen
Dr. Nusrat Parveen Assistant Professor and Head of CSE

Computer Science and Engineering

Experience 20

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Profile
pdf iconNusrat Parveen
S.No Degree Year of Passing Name of Institution Class Percentage (%)
1 Ph.D. (Computer Engineering) August-2022 University of Mumbai Thesis submitted --
2 M.E (Computer Engineering) 2013 University of Mumbai Distinction 73 %
3 CDAC 2001 Nashik First Class 63%
4 B.E. (Electronics) 1998 Nagpur University First Class 63 %
5 H.S.C 1994 Pune Distinction 81%
6 S.S.C 1992 Maharashtra Distinction 82%
Sr.No. Organization Designation From To Years
1 DMCE, Airoli Navi Mumbai Assistant Professor 1st April 2011 Till Today 12
2 DMCE,Airoli Navi Mumbai Lecturer 1st Jul 2005 31st March 2011 6
3 D.Y.Patil College of MCA, Akurdi, Pune. Lecturer Sep 2004 Dec 2004 Less than 1
4 N.M.V.P.Talegaon, Pune Lecturer July 2003 Nov 2003 Less than 1
5 SSI, Talegaon, Pune. Faculty Feb 2002 Dec2002 Less than 1
6 Kamptee Polytechnic, Kamptee, Nagpur. Lecturer Aug 1998 May 1999 1
Sr.No. Company / Industry Designation Duration
01 WV Electronics-Akurdi UPS TESTING 6

Developed an algorithm to predict early myocardial Infarction using score tree algorithm. This algorithm is also filed for patent.

Conferences

  • Presented a Paper on Performance Enhancement of Deep Learning Based Face detection system” at Suresh Gyan Vihar University Journal of Engineering and Technology (An International Bi-Annual Journal) Volume 8, Issue 2 ISSN: 2395-0196.
  • Presented a Paper on “Review on Performance Enhancement of Deep Learning Based Face detection system” in International Conference on Artificial Intelligence , Blockchain, Computing and Security (ICABCS-2023) organized by Galgotias University , Greater Noida , Uttar Pradesh on 24th and 25th Feb. 2023 under the Taylor and Francis Group.
  • Presented a Paper on “WESAFE : A SAFETY APP FOR ALL” in International Conference on Artificial Intelligence , Blockchain, Computing and Security (ICABCS-2023) organized by Galgotias University , Greater Noida , Uttar Pradesh on 24th and 25th Feb. 2023 under the Taylor and Francis Group.
  • Presented a Paper on “Enhanced-Honey Bee based Load Balancing Algorithm for cloud Environment ”in International Conference on Artificial Intelligence , Blockchain, Computing and Security (ICABCS-2023) organized by Galgotias University , Greater Noida , Uttar Pradesh on 24th and 25th Feb. 2023 under the Taylor and Francis Group.
  • Paper on “Social Security App” “Published at IEEE Xplore 5th International Conference On Advances in Science and Technology (ICAST)-2022 Organized by K J Somaiya Institute of Engineering and Information Technology (KJSIEIT), Sion, Mumbai-22 in association with University of Mumbai and technically co-sponsored by IEEE Bombay Section on 2nd and 3rd of December 2022.
  • Participated Presented a Paper on “Deep Learning Based Face Detection System “in a two days Online International Conference on Converging TECHNOLOGIES & MANAGEMENT during 25th and 26th March, 2022 at Suresh Gyan Vihar University Jaipur.

Achievements

  • A cash prize of 15000 is received as an outstanding innovator for a research idea presented in Indo-Korea Contest-2019-CHRIST-university Bangalore.
  • Mentored final year students for Indo-Korea contest-2020 which received a cash prize of 45000.
  • Stood as a third runner-up with a cash prize of 20000 for presenting a novel idea of research in Indo-Korea Contest-2021-CHRIST-university Bangalore.
  • Bagged first prize with a cash of 30,000 for presenting a novel idea of research in Indo-Korea Contest-2022-CHRIST-university Bangalore.
  • Received the Registration grant for IEEE-Xplore in IBSSC-2021-Gwaliar.
  • Received the Registration grant for IEEE-Xplore in TENSYMP-2022-IIT-MUMBAI.

Publication

  • A chapter is published in “Disruptive Trends in Computer Aided Design” Taylor & Francis Group, ISBN 9780367493370, Published September 29, 2021 by Chapman and Hall/CRC,218 Pages 58 B/W Illustrations, titled “Efficient, Accurate and Early Detection of Myocardial Infarction Using Machine Learning” by Nusrat Parveen and Dr. Satish R. Devane.
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