COLLEGE CODE

VIST code
visakha engineering college

COLLEGE CODE

visakha engineering
Headlines

Click Here For Online Admission Form

Admissions open for Diploma, B.Tech, M.Tech, BBA, BCA, MBA & MCA Contact: 9959617476 , 9959617477, 9959617446

CSE (AI&ML) 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.
mech-hod-img
desing

cse department - hod

A S C Tejaswini Kone, Associate Professor& Head

ABOUT HOD

A S C Tejaswini Kone, Assoc. Professor in Computer Science & Engineering, having experience of 03 years in industry and 06 years in teaching, has been graduated from Andhra University, Visakhapatnam & M.Tech from AU, Visakhapatnam. Ratified by JNTUGV.

HOD MESSAGE

It gives me immense pleasure to lead the department of Computer science. Our college is one of the premier institutions, unique like a prism reflecting the manifold shades of learning and co-curricular activities. Visakha Institute of Engineering and Technology is striving hard towards the goal of providing innovative and quality education with high standard to achieve academic excellence.

The very motto of our department is to provide quality education. The process of learning is extremely important in life. What you learn, how you learn and where you learn play a crucial role in developing ones intellectual capability, besides career. Hence on behalf of our Computer science Engineering Department, I welcome all you to VIET. Along with academic knowledge VIET also trains its Engineers to face the challenges in life by providing many value added courses to enhance their career prospects. The excellent infrastructure, teaching faculty of the best kind ensuring quality education such as interaction among students, parents and staff, along with a Training and Placement Cell ensures a bright future to its students. Thus we are confident that our Engineers will emerge as assets not only to this institution and to the organization they belong, but also to the country at large.

I Congratulate the team of faculty members and the students for their brilliant and original efforts.

hod wishes

I wish all the Students and Faculty a great academic career.

STAFF DETAILS

Faculty Name

A S C Tejaswini Kone

Qualification

M.TECH (Ph.d)

Designation

Associate Professor & HoD

Experience

06 Years
email

Email

csehodvietvsp@gmail.com

Faculty Name

DR.K.Venkata Krishna

Qualification

M.TECH(CSE)

Designation

Assistant Professor

Experience

10 Years

Faculty Name

Dr. M. Sree Ram Kiran Nag

Qualification

M.TECH(CSE)

Designation

Assistant Professor

Experience

06 Years

Faculty Name

D .Haritha

Qualification

M.TECH(CSE)

Designation

Assistant Professor

Experience

11 Years

Faculty Name

M. Usha

Qualification

M.TECH(CSE)

Designation

Assistant Professor

Experience

6 Years

Faculty Name

K . Rukmini Durga

Qualification

M.TECH(CSE)

Designation

Assistant Professor

Experience

10 Years

Faculty Name

Peeri Prasad

Qualification

M.TECH(CSE)

Designation

Assistant Professor

Experience

10 Years

Faculty Name

Mr. B. Venkata Rao

Qualification

M.Tech (CSE)

Designation

Assistant Professor

Experience

12 Years

Faculty Name

Tamarana Rohini

Qualification

M.Tech (CSE)

Designation

Assistant Professor

Experience

5 Years

Faculty Name

K. Basheeba Rani

Qualification

M.Tech (CSE)

Designation

Assistant Professor

Experience

5 Years

Faculty Name

N Tejaswini

Qualification

M.Tech (CSE)

Designation

Assistant Professor

Experience

4 Years

Faculty Name

SateeshKumar Y N V

Qualification

M.Tech (CSE)

Designation

Assistant Professor

Experience

11 Years

Faculty Name

D.Sai Krishna

Qualification

M.Tech (CSE)

Designation

Assistant Professor

Experience

8 Years

Faculty Name

B. Srinivas

Qualification

M.Tech (CSE)

Designation

Assistant Professor

Experience

7 Years

Faculty Name

M.Suresh Kumar

Qualification

M.Tech (CSE)

Designation

Assistant Professor

Experience

4 Years

Faculty Name

G. Amala Devi

Qualification

M.Tech (CSE)

Designation

Assistant Professor

Experience

6 Years

Faculty Name

N. Amulya

Qualification

M.Tech (CSE)

Designation

Assistant Professor

Experience

2 Years

Faculty Name

K.Prasanna Latha

Qualification

M.Tech (CSE)

Designation

Assistant Professor

Experience

2 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 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

desing

cse department - hod

K.Rupendra Singh, Associate Professor& Head