Faculty

Dr. Nusrat Parveen Assistant Professor and Head of CSE

Computer Science and Engineering

Experience 20

Profile

Nusrat Parveen

Education
Experience
Research
Conferences
Projects/Achievements
Publications

Education

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%

Experience

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

Research

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.

Projects/Achievements

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.

Publications

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.