Malla Reddy (MR) Deemed To Be University

T.JAGADEESWARI
Assistant Professor
M.Tech
JOINING DATE : 06-12-2021
JNTUH ID : 96150401142235

Faculty Personal and Academic Profile

Faculty Department	Computer Science and Engineering (CSE)
Faculty Name	T.JAGADEESWARI
Professional Email	jagadeeswari@mrec.ac.in
Personal Email	jagadeeswari2003@gmail.com
Registration Number	96150401142235	Teaching / Work Experience 17 YEAR TEACHING EXPERIENCE Other Achievements Attended various FDP programs and certified on Data science and Machine Learning Teaching Achievements NPTEL certificates on Data base Management System , data mining , machine learning, python programming,python for Data science
Current Designation	Assistant Professor
Area of Specialization	Data Science
Joining Date	06-12-2021
Total Experience in this Institution	3 0
Total Experience in other Institutions	14 Years	Specialized Skills worked for NBA accreditation on criteria 4
UG Qualifications	B.Sc	Graduation Year, University	1997, Andhra university
PG Qualifications	M.Tech	Graduation Year, University	2010, JNTU Hyderabad
Any Other PG Qualifications	MCA	Graduation Year, University	2002, Andhra university

Subjects registered in Coursera

S.No	Subject	Status (Registered / Completed)	Year	Month	Duration in Weeks
1	programming for every one	Completed	2020	May	8
2	machine learning for data science	Completed	2020	Apr	8
3	introduction to statistics and data analysis in public health	Completed	2020	Jun	4
4	covid 1 contact tracing	Completed	2020	Sep	4
5	AI for every one	Completed	2020	Sep	8

Subjects registered in NPTEL

S.No	Subject	Status (Registered / Completed)	Year	Month	Duration in Weeks
1	Data Base Management System	Completed	2017	Sep	8 weeks
2	Data Mining	Completed	2019	Apr	8 weeks
3	Data mining	Completed	2020	Apr	8 weeks
4	PYTHON FOR DATA SCIENCE	Completed	2024	Oct	4

Papers published/accepted/submitted in Scopus/WoS/SCI - Journals

S.No	Paper Title	Name of the Journal	Status (Published / Accepted / Submitted)	Journal (Scopus / WoS / SCI)	Year	Month	ISSN
1	Deep learning Based Convolutional neural networks(DLCNN)on classification algorithm to detect brain tunor using MRI and CT scan Images		Published	WoS	2022	Aug	2456-2165

Patents/IPR filed

S.No	Patent/IPR Title	Patent Registration Number	Patent / IPR	Year	Month
1	RESOLVING VISUAL QUESTIONS USING MEMORY AUGMENTED NETWORKS	202441046296	Patent	2012	Oct
2	RESOLVING VISUAL QUESTIONS USING MEMORY-AGUMENTED NETWORKS	202441046296	Patent	2012	Oct

Participation in Seminar / Workshop / Summer School / FDP/ any others

S.No	Name of the Programme	Title of the Event	Organized by (College / University / Industry)	Year	Month	Duration
1	FACULTY DEVELOPMENT PROGRAMME	MACHINE LEARNING AND IMAGE PROCESSING	University	2022	May	1WEEK

Organized/Conducted the Seminar / Workshop / Conference / Summer School / FDP or any others.

S.No	Name of the Programme	Title of the Event	Organized by (College / University / Industry)	Year	Month	Duration

SCHOOLS

School of Engineering

Civil Engineering
Electrical and Electronics Engineering
Mechanical Engineering
Electronics and Communication Engineering
Computer Science and Engineering
Information Technology
Mining
Humanities and Sciences
Cyber Security(CS)
Data Science(DS)
Internet of Things(IOT)
Artificial Intelligence and Machine Learning(AIML)

School of Management

Bachelor of Business Administration (BBA)
Master of Business Administration (MBA)

School of Sciences

Bachelor of Computer Applications (BCA)
Master of Computer Applications (MCA)

Online Courses

Bachelor of Business Administration (BBA)
Master of Business Administration (MBA)
Bachelor of Computer Applications (BCA)
Master of Computer Applications (MCA)

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