COLLEGE CODE
Headlines
CSE DEPARTMENT
ABOUT DEPARTMENT
Recognizing the overwhelming demand for computer engineering education, the Institute started the 4 year B.Tech course in Computer Science and Engineering in 2008 with an intake of 60 and M.Tech (CSE) Programme M.Tech – 18 approved by AICTE. Now the current intake for the Branch is 270.
The students are facilitated with sufficient number of computers with the latest LAN/WAN configuration. Networked with Hi-end servers. Fiber Optic Network Backbone for connectivity providing users access to the Reliance 4Mbps & BSNL 50 Mbps VPN broad band facilities. The computer laboratory has systems with latest configuration. It has a LAN environment operating Windows XP and Linux. All the two environments are connected and operating with TCP/IP Protocol. All language processors needed by the undergraduate curriculum are supported by Netware, Windows and Linux environments. With the objective of being responsive to industry’s needs, the course goes beyond fulfilling the syllabus requirements of the University and offers students opportunities to work on the different hardware and software platforms prevalent in industry.
VISION AND MISSION
vision
To become a pioneer in providing high quality education and research in the area of Computer Science and Engineering.
mission
- Enrich society and advance Computer Science and Engineering by preparing graduates with the knowledge, ability and skill to become innovators and leaders who are able to contribute to the aspirations of the country and society
- Benefit humanity through research, creativity, problem solving and application development.
- Share knowledge and expertise to benefit the country, region, and beyond while inspiring people to engage in computing fields.
ABOUT HOD
K.Rupendra Singh, Assoc. Professor in Computer Science & Engineering, having 12 years teaching experience, has been graduated from JNTUH, Hyderabad& M.Tech from JNTUK, Kakinada. Ratified from JNTUK. Qualified in AP-SET.
I wish all the Students and Faculty a great academic career.
STAFF DETAILS
Faculty Name |
K.Rupendra Singh |
Qualification |
M.TECH |
Designation |
Associate Professor & HoD |
Experience |
10 Years |
csehodvietvsp@gmail.com |
Faculty Name |
GANTYADA AMALADEVI |
Qualification |
M.TECH(CSE) |
Designation |
Assistant Professor |
Experience |
10 Years |
Faculty Name |
G.Lavanya |
Qualification |
M.TECH(CSE) |
Designation |
Assistant Professor |
Experience |
10 Years |
Faculty Name |
D .Haritha |
Qualification |
M.TECH(CSE) |
Designation |
Assistant Professor |
Experience |
10 Years |
Faculty Name |
M. Usha |
Qualification |
M.TECH(CSE) |
Designation |
Assistant Professor |
Experience |
10 Years |
Faculty Name |
K . Rukmini Durga |
Qualification |
M.TECH(CSE) |
Designation |
Assistant Professor |
Experience |
10 Years |
Faculty Name |
Y.N.V Sateesh Kumar |
Qualification |
M.TECH(CSE) |
Designation |
Assistant Professor |
Experience |
10 Years |
Faculty Name |
K. Govinda Rao |
Qualification |
MCA, M.Tech (CSE) |
Designation |
Assistant Professor |
Experience |
10 Years |
P.Prasad |
SANIVADA USHA KIRAN KUMAR |
Qualification |
M.Tech (CSE) |
Designation |
Assistant Professor |
Experience |
10 Years |
PEO's ,PSO's & PO's
UG
PROGRAM OUTCOMES (POs):
- Engineering knowledge : Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
- Problem analysis : Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
- Design/development of solutions : Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
- Conduct investigations of complex problems : Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
- Modern tool usage : Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
- The engineer and society : Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
- Environment and sustainability : Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
- Ethics:Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
- Individual and team work : Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
- Communication : Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
- Project management and finance : Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
- Life-long learning : Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
PROGRAM EDUCATIONAL OBJECTIVES
PEO 1:
To possess knowledge in both fundamental and application aspects of mathematical, scientific, engineering principles to analyze complex engineering problems for meeting the national and international requirements and demonstrating the need for sustainable development.
PEO 2:
To adapt to the modern engineering tools for planning, analysis, design, implementation of analytical data and assess their relevant significance in societal and legal issues necessary in their professional career.
PEO 3:
To exhibit professionalism, ethical attitude, communication, managerial skills, team work and social responsibility in their profession and adapt to current trends by engaging in continuous learning.
The program specific outcomes (PSO) for department of Computer Science & Engineering.
PSO1:
Able to acquire practical competency with emerging technologies, programming languages and open source platforms
PSO2 :
Able to assess hardware and software aspects necessary to develop IT based solutions.
PG
Program Educational Objectives (PEOs):
After successful completion of the program, the graduates will be able to
- To produce computer science graduate engineers with an ability to comprehend, understand and analyze real life problems for providing sustainable solutions teams in the light of disruptive technologies
- To produce graduates who can provide solutions to challenging problems in their profession by applying computer engineering theory and practices.
- To produce graduates who can provide leadership and are effective in multidisciplinary environment.
PROGRAM SPECIFIC OUTCOMES (PSOs):
Engineering Graduates will be able to:
- Graduates will have adequate knowledge of computer engineering domain to become employable in Industry.
- Graduate will be aware about the latest technology in software and hardware
- Graduate will be aware about the latest technology in software and hardware
CURRICULUM
Curriculam Diploma |
---|
C20 CME |
Curriculam B.Tech |
---|
R20 CSE |
R20 CSE (AIML) |
R20 CSE (DATA SCIENCE) |
R20 CSE (CYBER SECURITY) |
Curriculam M.Tech |
---|
R19 Computer Science |
PUBLICATIONS
Recognizing the overwhelming demand for computer engineering education, the Institute started the 4 year B.Tech course in Computer Science and Engineering in 2008 with an intake of 60 and M.Tech (CSE) Programme M.Tech – 18 approved by AICTE. Now the current intake for the Branch is 270.
The students are facilitated with sufficient number of computers with the latest LAN/WAN configuration. Networked with Hi-end servers. Fiber Optic Network Backbone for connectivity providing users access to the Reliance 4Mbps & BSNL 50 Mbps VPN broad band facilities. The computer laboratory has systems with latest configuration. It has a LAN environment operating Windows XP and Linux. All the two environments are connected and operating with TCP/IP Protocol. All language processors needed by the undergraduate curriculum are supported by Netware, Windows and Linux environments. With the objective of being responsive to industry’s needs, the course goes beyond fulfilling the syllabus requirements of the University and offers students opportunities to work on the different hardware and software platforms prevalent in industry.
FDPs
S.NO |
Programme |
Name of the Staff |
Title of the FDPS |
---|---|---|---|
1 |
FDP |
B. Lakshmana rao |
IoT INTERFACED SMART GRID TECHNOLOGY |
2 |
FDP |
IoT INTERFACED SMART GRID TECHNOLOGY |
RF Energy harvesting Antenna Design for Wireless Body Area Networks |
3 |
FDP |
Y.N. V.Sateesh kumarMEAN Stack TechnologiesK.Rupendra singh |
MEAN Stack TechnologiesK.Rupendra singh |
4 |
FDP |
K.Rupendra singh |
ARTIFICIAL INTELLIGENCE IN COMPUTER VISION |
5 |
FDP |
K.Rupendra singh |
Applications of IOT |
6 |
FDP |
K.Rupendra singh |
Design of experiments & Artificial Neural Network |
MENTOR LIST FOR IV YEAR I SEMESTER
S.No |
Regd. No. |
Student Name |
Mentor name |
---|---|---|---|
1 |
19521A0501 |
ATHREYAPURAM MANIKANTA |
G. Lavanya |
2 |
19521A0502 |
B BHARGAVI |
|
3 |
19521A0503 |
BYRI JAYA PRAKASH |
|
4 |
19521A0504 |
CHODIPILLI SWETHA |
|
5 |
19521A0505 |
C BHASKAR KRISHNAJI |
|
6 |
19521A0506 |
GUNDA MANIKANTA |
|
7 |
19521A0509 |
MERUVA YESHWANTH SAI |
|
8 |
19521A0510 |
M. SATYA SAI KUMAR |
|
9 |
19521A0511 |
N. EMMANUEL |
|
10 |
19521A0512 |
N. SWAROOP |
|
11 |
19521A0515 |
PILLI VENKATASAI |
|
12 |
19521A0516 |
POLAVARAPU NAVEEN |
|
13 |
19521A0517 |
RIKKA SRI LAXMI YASHASWINI |
|
14 |
19521A0521 |
TILARI MEGHANA |
|
15 |
19521A0522 |
VEMPATAPU SAI GAYATHRI |
|
16 |
19521A0523 |
YARABATI SAI KUMAR |
|
17 |
19521A0524 |
YARRA SIVACHAITANYA |
|
18 |
19521A0525 |
Y SAI DURGA PRATAP |
M.Usha |
19 |
19NT1A0501 |
ABHISHEK DUTTA |
|
20 |
19NT1A0502 |
AKASH KUMAR THAKUR |
|
21 |
19NT1A0503 |
ANNAPANENI VINAY KUMAR |
22 |
19NT1A0504 |
BONGU TARAKESWARA RAO |
23 |
19NT1A0505 |
C GOWRI VENKATA RENUKA |
|
24 |
19NT1A0506 |
DASARI VIJAYA |
|
25 |
19NT1A0507 |
GUDIVADA CHAITHIJNA GURUNADH |
|
26 |
19NT1A0508 |
JERRIPOTHULA PUJITHA |
|
27 |
19NT1A0509 |
KAMADA SAI SAMPATH |
|
28 |
19NT1A0510 |
KUNDRAPU AVINASH KUMAR |
|
29 |
19NT1A0512 |
LALAM NAVEENKUMAR |
|
30 |
19NT1A0513 |
MANKALA VIKASH RAO |
|
31 |
19NT1A0514 |
MATAM VIKASH |
|
32 |
19NT1A0515 |
PADMAPURAM CHANIKYA |
|
33 |
19NT1A0517 |
POLAVARAPU MAHESH SAI RAJU |
|
34 |
19NT1A0518 |
PRIYANKA CHEEGATI |
|
35 |
19NT1A0519 |
RISHANTI KUMARI |
K.Rukmini Durga |
36 |
19NT1A0522 |
SALAPU GANESH MANIKANTA |
|
37 |
19NT1A0525 |
VILLURI CHARANYA |
|
38 |
1961GA0502 |
CHINTHA LAL JOHN |
|
39 |
1961GA0503 |
DODDI HARSHA VARDHAN |
|
40 |
1961GA0505 |
GODE SIVA SANKAR |
|
41 |
1961GA0506 |
KAMIREDDY ROHIT |
|
42 |
1961GA0507 |
MALLA BALA VINAY |
|
43 |
1961GA0508 |
PEDAPUDI RAMESH |
|
44 |
1961GA0509 |
RAVURI NAVYA SRI |
|
45 |
1961GA0510 |
TIPARALA VIJAYA KUMAR |
|
46 |
1961GA0511 |
VANTHALA SIVAYYA |
|
47 |
1961GA0512 |
D.MADHAN MOHAN |
|
48 |
1961GA0513 |
MYLAVARAPU KAVYA |
|
49 |
1961GA0514 |
AJIT SENAPATI |
PLACEMENTS
2020-2021
S.NO |
COMPANY |
NO. OF STUDENTS SELECTED |
---|---|---|
1 |
TECH MAHINDRA |
5 |
2 |
SMART BRAINS FOR HCL |
12 |
TOTAL |
17 |
PROJECTS
Batch No |
Regd No |
Name |
Project Name |
Name Of The Guide |
---|---|---|---|---|
Batch-1 |
18NT1A0518 |
K.SAI SANJANA |
Plant Disease Detection Using CNN Algorithm With Deep Learning |
G.AMALA DEVI |
18NT1A0535 |
S.HEMALATHA |
|||
18NT1A0510 |
P.SRAVANI |
|||
18NT1A0513 |
D.CHITTI SEKHAR |
|||
18NT1A0542 |
GLADSTONE |
|||
Batch-2 |
18NT1A0506 |
B.SIRISHA |
Prediction Of Traffic Crash Severity Using Deep Neural Networks. |
B.LAKSHMAN RAO |
18NT1A0507 |
B.YAMINI |
|||
18521A0508 |
D. LATHA |
|||
18521A0509 |
G.PRADEEP |
|||
18NT1A0528 |
P.HANVESH |
|||
18NT1A0523 |
M.ANITHA |
|||
18NT1A0519 |
K.KISHORE |
|||
Batch-3 |
18NT1A0523 |
M.ANITHA |
Image Captioning Using Deep Learning With Frameworks |
G.AMALA DEVI |
18NT1A0519 |
K.KISHORE |
|||
19NT5A0505 |
JAI SAIKRISHNA |
|||
18NT1A0515 |
E.HEMA |
|||
18NT1A0511 |
G.HARSHITH |
|||
Batch-4 |
19NT5A0503 |
G.NOOKARATNAM |
Detection Of Covid -19 By Using X-Ray Images |
K.RUPENDRA SINGH |
18NT1A0511 |
C.TULASI |
|||
18NT1A0527 |
P.ARAVIND |
|||
18NT1A0534 |
S.FARUKH |
|||
18NT1A0529 |
GP.VINEESHA |
|||
Batch-5 |
18NT1A0522 |
M.BHARGAVI |
Object Detection Using Deep Learning |
B. LAKSHMAN RAO |
18NT1A0530 |
C.KRUPA |
|||
18NT1A0538 |
T.POORNIMA |
|||
18NT1A0533 |
S.PAVANI |
|||
18NT1A0516 |
E.RAJINI |
|||
Batch-6 |
18NT1A0526 |
P.SRINU |
Moving Object Detection Using Deep Learning |
K.RUPENDRA SINGH |
18NT1A0520 |
SUGUNA |
|||
18NT1A0517 |
G.CHANTI |
|||
18521A0501 |
A.RAJESH |
|||
18NT1A0512 |
D.NAVEEN |
|||
Batch-7 |
18NT1A0505 |
B.RAVI KIRAN |
Deep Smoke Segmentation Using Deep Learning |
K.RUPENDRA SINGH |
18NT1A0532 |
R.DIVYA |
|||
18NT1A0540 |
AJAY |
|||
18NT1A0514 |
D.MANOHAR |
|||
18NT1A0536 |
CHANDUL |
|||
Batch-8 |
118NT1A0509 |
C.MOUNIKA |
Stock Market Price Prediction By Using LSTM With Deep Learning |
G.AMALA DEVI |
18NT1A0508 |
C.YASWANTH |
|||
18NT1A0501 |
SAI PAVAN |
|||
19NT5A0504 |
V MOUNICA |
|||
Batch-9 |
18NT1A0502 |
A.VARSHA |
Voting System Using Biometrics |
G. LAVANYA |
18NT1A0504 |
B.RENUKHA |
|||
18NT1A0521 |
L.JHANSI |
|||
18NT1A0503 |
LAKSHMI PRASAD |
|||
18521A0520 |
K.J.NAGAVINAY |
|||
Batch 10 |
17NT1A0507 |
B.D PRASANTH |
Virtual Mouse Using Hand Gesture |
K.RUPENDRA SINGH |
Batch No |
Regd No |
Name |
Project Name |
Name Of The Guide |
---|---|---|---|---|
Batch-1 |
186G1A0508 |
G.SILPA |
SENTIMENT ANALYSIS ON MOVIE REVIEWS USING NAÏVE BAYES THEOREM |
K.RUPENDRA SINGH |
186G1A0512 |
K.ASWINI |
|||
186G1A0513 |
M.JOGESH |
|||
196G5A0502 |
G.KONDA BABU |
|||
186G1A0504 |
CH. SUBHAKAR |
|||
Batch-2 |
186G1A0523 |
S.SANJAY |
DIABETES PREDICTION USING MACHINE LEARNING |
G.AMALA DEVI |
186G1A0515 |
P.SAIKUMAR |
|||
186G1A0506 |
G. NOOKARATNAM |
|||
186G1A0505 |
G. AJAY |
|||
Batch-3 |
186G1A0516 |
R.DURGA BAVANI |
Object Detection Using Deep Learning |
G.AMALA DEVI |
186G1A0514 |
N. RAKESH |
|||
186G1A0501 |
B. PAVAN |
|||
186G1A0524 |
G .SAI KRISHNA |
|||
Batch-4 |
186G1A0519 |
B.RAVI KIRAN |
Stock Market Price Prediction By Using LSTM |
B. LAKSHMAN RAO |
186G1A0518 |
T. RAVINDRA REDDY |
|||
186G1A0523 |
G.PENNY PAUL |
|||
196G5A0501 |
B. SAI CHARAN |
|||
Batch-5 |
186G1A0517 |
S. DEEPTHI |
FACIAL EXPRESSION RECOGNITION USING DEEP LEARNING |
K.RUPENDRA SINGH |
186G1A0503 |
CH. RUPA LAVANYA |
|||
186G1A0520 |
T . BRAHMA REDDY |
ALUMNI
2020-2021
S.NO |
REGISTRATION NO |
NAME OF THE STUDENT |
---|---|---|
1 |
17NT1A0501 |
A GEETHA MEGHANA |
2 |
17NT1A0515 |
KURAPATI VAGDEVI |
3 |
17NT1A0506 |
B DURGA BHAVANI |
4 |
17NT1A0522 |
R V SAI KRISHNA |
5 |
17NT1A0511 |
G MANOHAR SAI |