Sri Venkateswara University School of Computer Science Admission 2024, Important Topics, No. of Students Placed, Top Agencies

Sri Venkateswara University
Tirupati, Andhra Pradesh, India
Tirupati - 517502 Andhra Pradesh, India.
517502
8772289547
info@svuniversity.edu.in
www.svuniversity.edu.in
About Us

Sri Venkateswara University, Tirupati , is established in 1954 in the world famous holy temple town of Tirupati on the sprawling campus of 1000 acres with a panoramic and pleasant hill view. The University stands as a testimony to the wisdom and foresight of great visionaries Late Sri Tanguturi Prakasam Pantulu, the then Chief Minister of Andhra and Late Sri Neelam Sanjiva Reddy, to cater the educational needs and aspirations of the people of Rayalaseema area. With a great wisdom, the founder of this University have rightly coined the motto Wisdom lies in proper perspective for it. The University has grown excellently from strength to strength over the past 60 years, as a premier institute of higher learning under the able and committed leaderships of successive Vice-Chancellors starting from Prof. S. Govindarajulu to the present Vice Chancellor Prof. Avula Damodaram. It has gone through greater strides in the transformation of the University with acquiring necessary and modern sophisticated instrumentation to catch up with the world competition in academic and research programmes.

Right from its inception, the University has been laying more emphasis on teaching, research and extension activities in different subjects. The range of subject departments, courses and research programmes undertaken and promoted during the last 60 years reflect Sri Venkateswara Universitys commitment in promoting socially relevant and inter-disciplinary programmes. The University was started with six departments of Chemistry, Physics, Mathematics, Botany, Zoology, Economics and Philosophy. The University has 4 constituent colleges concerning various conventional and advanced subjects, in order to provide good academic and smooth administrative service to one and all. The University has 54 departments, where in 72 different PG Courses and several Diploma and Certificate courses are being run with a total academic faculty strength of around 400 and 1500 non-teaching and a student strength of 5000, including research scholars. Several novel and newly emerging PG courses have also been introduced during this academic year. The University has been moving forwards in achieving academic excellence with a strong commitment and dedicated approach, by clearly setting up of a vision of its own. The initiatives taken by the Vice-Chancellor have already started yielding excellent results, in terms of research funding, extension activities keeping the University on the path of excellence.

Title in Computer Science Sri Venkateswara University

# Title Researcher Guide(s)
1 Mining Approach For Business Intelligence To Improve Insights Of Web Engineering Applications A . Venkata Krishna Prasad Dr. S . Ramakrishna
2 An Efficient Approach To Remove High Density Salt And Pepper Noise Using Stationary Wavelet Transform N . Naveen Kumar Dr. S . Ramakrishna
3 Design And Development Of Breast Cancer Expert System BH.Nagarajasri Dr. M.Padmavathamma
4 A Study and design of novel trajectory data mininig techniques with specific applications on business data to improve customer relationship management V.Tanuja Dr. P.Govindarajulu
5 Enhancing the software product quality through automatic test suite generation and prioritization testing tool C.Prakasa rao Dr. P.Govindarajulu
6 Development Of IVI Model Using Enhanced Secure Protocols Thatiparthi Swarnalatha Dr. M. Padmavathamma
7 Bottlenecks to parallel application performance in multi core architecture using linux Bala Subramanyam Raju P Dr. P Govindaraju
8 Design of semi supervised learning strategies for text document clustering under context concept and semantic factors Rao, A Sreenivasa Dr. S Ramakrishna
9 The progressive approach to develop a clinical support system for the prognosis of differential renal sysndromes and prediction of nephrolithiasls using artifical neural networks G Sumana Dr. G Anjan Babu
10 Robust and scalable multi labeled document classification models for text mining A Venkataramana Dr. Reddy, E Kesavulu
11 A Computational Approach To Identify Variant Positions Of TCF7L2 Gene Related To Type II Diabetes Mellitus K.Vijayalakshmi Dr. M.Padavathamma
12 Study and Evaluation of an Efficient Key Generation Using Biometric Finger Print for Providing Security to Data on Computer Networks T.Raghu Trivedi Dr. R.Seshadri
13 Design And Development Of New Threshold PmQm RSA Cryptosystem For Securing The Sensitive Data In Big Data Enviornment R.Naveen Kumar Dr. M.Padmavathamma
14 Characterizing The Urban Developent Through Spatio Temporal Analysis And Random Forest Decision Tree Approach P.Kalyani Dr. P.Govindarajulu
15 Augmenting Web Application Security Using Threshold Modified Rsa At Intranet Level Venkateswarlu Dr. Seshadri R
16 Privacy Preserving With Location Based Services and Efficient Node Selection Mechanism In Wireless Sensor Networks Vijaya Bhaskar K Dr. Seshadri R
17 Development Of Secured Diagnostic system For Type II Diabetes Mellitus Sreedevi E Dr. Padmavathamma M
18 Classification Approaches For Prediction Of Lung Tumor Using Particle Swarm Optimization With Text Mining Techniques Jyotsna P Dr. Govindarajulu P

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