Mr Raja Sekhar Kommaraju
Assistant Professor
| Department of Information Technology
LAKIREDDY BALI REDDY COLLEGE OF ENGINEERING, MYLAVARAM
Andhra Pradesh
Expertise:
Computer Science Information Systems
9
Publications
0
Projects
52
Scopus Citations
39
CrossRef
13 Years 11 Months Total Experience
Scopus
52
Citations
3
h-index
CrossRef
39
Citations
3
h-index
Google Scholar
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Professional Recognition
BEST Teacher
2016
LAKIREDDY BALI REDDY COLLEGE OF ENGINEERING
BEST Teacher
2017
LAKIREDDY BALI REDDY COLLEGE OF ENGINEERING
BEST Teacher
2018
LAKIREDDY BALI REDDY COLLEGE OF ENGINEERING
BEST Teacher
2019
LakiReddy Bali Reddy College of Engineering
BEST Teacher
2020
LakiReddy Bali Reddy College of Engineering
TOP Performer Mentor
2022
NPTEL-IIT Madras
Qualified in UGC-NET Assistant. Professor in Computer Science & Applications
2021
UGC
Qualified in APSET Assistant. Professor in Computer Science & Applications
2020
Andhra Univeristy - Andhra Pradesh
Qualified GATE-AIR-3733 with 91
2009
IIT KGP
Community & Membership
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Computer Society of India
Life TimeISTE
Life TimePersonal Details
Master of Technology
2011
N/A
Bachelor of Technology
2009
KLB, DAV College for Girls Palampur, Distt Kangra
Assistant Professor
Jun 2015 – Present
LAKIREDDY BALI REDDY COLLEGE OF ENGINEERING, MYLAVARAM
| Department of Information Technology
Assistant Professor
Apr 2012 – Nov 2014
K.L.E. Academy of Higher Education and Research, Belgaum
Engineering and Technology
Scholarly Work
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A Method for A Fraud Detection in A Bank Transaction with A Wrapper Model and A Harris Water Optimization Based Deep Recurrent Neural Network
RAJASEKHAR KOMMARAJU
-
Patent No. :
2021106075
Filed :
20-08-2021
Published :
10-11-2021
Published
IANM-Data Analysis:INTELLIGENTDATA ANALYSIS (Academic, Non- Academic) USING MACHINE LEARNING PROGRAMMING
Kampa Lavanya
-
Application No. :
2020102877
Filed :
14-10-2020
Published :
19-10-2020
Published
Scholarly Publications
Efficient Usage of Spectrum by Using Joint Optimization Channel Allocation Method
Cryptographic pairing-free attribute based encryption
Scopus: 1
Diabetic retinopathy detection using involution-convolution model with random forest classifier
Open AccessDetection of Diabetic Retinopathy (DR) Severity from Fundus Photographs using Swin Transformer
Diabetic Retinopathy Detection Using Deep CNN Architecture and Medical Prescription
Iot based vehicle (car) theft detection
Raspberry pi based conversion of text in the images to speech and obstacle identification
An ensemble transfer learning metaheuristic optimization framework for detection of glioblastoma (GBM)
Showing 1 to 8 of 9 publications