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 DR. RAMA KRISHNA REDDY RAMA KRISHNA REDDY 61150407-120333 Assistant Professor
2 RAPOLU PRAVEEN KUMAR 33150407-115931 Assistant Professor
3 VINEELA MADIREDDY 46150330-215312 Assistant Professor
4 YELKA KRISHNA REDDY 7432-150412-154211 Assistant Professor
5 YADAIAH MADUGULA 3535-160303-160409 Assistant Professor
6 NARESH CHITTIPROLU 5516-170107-152113 Assistant Professor
7 VASUDEVA CHARY SRIRAMADASS 9617-170212-135240 Assistant Professor
8 KUMAR SANTHOSH ELLENDULA 7601-180130-170511 Assistant Professor
9 SHIVA KUMAR HUDUMULA 3858-210706-220435 Assistant Professor
10 KANUGU SANDYA 8637-210707-121255 Assistant Professor
11 MADDELA ANILKUMAR ANIL MADDELA 9399-210815-191520 Assistant Professor
12 MANDRAGUTI PRAVEEN 4310-220121-134910 Assistant Professor
13 SANTHOSH KUMAR THADAKAMALLA 8703-220425-211255 Assistant Professor
14 VIJAY KUMAR DHARNAMONI 9946-220425-221019 Assistant Professor
15 ANJALI MARKALA 7210-220517-120600 Assistant Professor
16 GOKILAVANI GOKILAVANI 3832-220709-161207 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