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2018
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1434
1434 Nusrat Parveen | Computer Science and Engineering | Doemumbai
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Computer Science and Engineering

Faculty

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

Computer Science and Engineering

Experience 20

Linked mail
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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