Artificial Intelligence & Machine Learning

Vignan Institute of Technology and Science > Artificial Intelligence & Machine Learning

ARTIFICIAL INTELLIGENCE & MACHINE LEARNING

Department of Artificial intelligence and Machine Learning was started in the year 2020. Artificial intelligence and Machine Learning is field of computer science used to design models with help of Structured, semi-structured and unstructured data to solve complex problems. AI & ML is used in different areas such as Image Recognition, Automatic Language Translation, Speech Recognition, Product Recommendations, Self Driving Cars, Email Spam and Malware Filtering etc.

  • B.Tech  CSE-(AI & ML) : 120
  • Duration                           : 04 Years
Vision
Mission
Program Outcomes
Program Specific Outcomes
Program Education Objectives

To foster collaborative and diverse community of Artificial Intelligence and Machine Learning experts who work together to advance the state of the art and address major societal challenges.

  • To evolve as centre for academic excellence in learning through creative and modern teaching practices.

  • 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 principle of mathematics, natural science and engineering science.

  • 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

  • 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 modeling 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.

 

  • Understanding of statistical concepts and their applications in Machine learning..
  • Familiarity with natural language processing and its applications in areas such as sentiment analysis and language translation.
  • Adopt new and fast emerging technologies in Artificial Intelligence and Machine Learning.
  • Have Knowledge and analytical skills including Mathematics, Science & basic Engineering.
  • Graduates will be able to work effectively in cross-functional teams to develop Artificial Intelligence and Machine Learning solutions that meet business objectives & societal needs.
  • Have extensive knowledge in state of art frame works in Artificial Intelligence and design industry accepted AI solutions using modern tools.

HOD Profile

Dr. J.R.V. Jeny has completed her Ph.D from Manonmaniam Sundaranar University in 2016.   She completed M.E (CSE) from Annamalai University in 2005 and completed B.E (CSE) from Periyar Maniammai College of Technology for Women in 1997. She has a total teaching, experience of 23 years. Her research interests include Wireless Sensor Networks, IOT and Network Security.

Research

  • Patents published: 04
  • Scopus Indexed papers: 05
  • International and national conferences: 08
  • International conferences (IEEE):04
  • Publication in peer-reviewed journals: 15
  • Book chapters published: 01

Achievements

  • Received Lady Engineer award from institution of engineers, 2022
  • Received Rs. 40,000 funding from ICMR for two days national level seminar on “Deep learning for cancer diagnosis using python”, 2018

Dr. J.R.V. Jeny
Professor &  HOD

Department Development Committee(DDC)

S.No

Name

Designation

1

Dr.J R V Jeny, HOD

Chairman

2

Dr.K.ShahuChatrapati, Professor, JNTUCEH-Manthani

Special Invitee

3

Mr.Pratap Reddy, IT Project Manager, TCS

Special Invitee

4

Dr. K Rama Krishna reddy

Member

5

Mr. R Praveen Kumar

Member

DDC Minutes of meeting

Faculty

S.No

Name

Registration Number

Designation

1

VINEELA MADIREDDY

46150330-215312

Assistant Professor

2

RAPOLU PRAVEEN KUMAR

33150407-115931

Assistant Professor

3

RAMA KRISHNA REDDY RAMA KRISHNA REDDY

61150407-120333

Assistant Professor

4

MADIREDDY VIJAYREDDY

2152-150408-105423

Assistant Professor

5

YELKA KRISHNA REDDY

7432-150412-154211

Assistant Professor

6

VENKATESWARLU MANAVAPATI

5207-150415-113920

Associate Professor

7

KOTA RAVALI

3019-150506-174101

Assistant Professor

8

DAYAKAR KATUKOJWALA

6690-160122-142209

Assistant Professor

9

NARESH MADAVARAPU

1655-160210-154644

Assistant Professor

10

RETHNA VIRGIL JENY

4768-160219-134349

Associate Professor

11

YADAIAH MADUGULA

3535-160303-160409

Assistant Professor

12

ANNEBOINA VENKANNA VENKANNA

2645-160310-103924

Assistant Professor

13

NARESH CHITTIPROLU

5516-170107-152113

Assistant Professor

14

VASUDEVA CHARY SRIRAMADASS

9617-170212-135240

Assistant Professor

15

MUPPIDI MAHESH

6360-170213-104624

Assistant Professor

16

KUMAR SANTHOSH ELLENDULA

7601-180130-170511

Assistant Professor

17

MANI RATHNAM BABU KURMA

7385-190309-125344

Assistant Professor

18

SHIVA KUMAR HUDUMULA

3858-210706-220435

Assistant Professor

19

KANUGU SANDYA

8637-210707-121255

Assistant Professor

20

SANTHOSH KUMAR THADAKAMALLA

8703-220425-211255

Assistant Professor

21

VIJAY KUMAR DHARNAMONI

9946-220425-221019

Assistant Professor

22

ANJALI MARKALA

7210-220517-120600

Assistant Professor

23

NAGULAPALLI LINGAREDDY

5504-220708-143008

Assistant Professor

24

SIVA KANAKARAJU BATTULA

9089-230412-182624

Assistant Professor

25

MUTYALA NAIDU POTHALA

1201-230601-151003

Assistant Professor

Guest Lectures/Workshops

Disciplinary Committee

S.No

Name

Designation

1

Dr J R V Jeny,HOD

Chairman

2

Dr Ramakrishna Reddy,Associate Prof.

Member

3

Mr R Praveen Kumar,Associate Prof.

Member

4

Mr M Praveen, Assistant Prof.

Member