CSE(Artificial Intelligence & Machine Learning)

The program draws students from diverse ethnic, racial, and cultural backgrounds, offering a unique platform to explore the intellectual, historical, and cultural narratives of one of the most dynamic and rapidly growing fields in technology — Artificial Intelligence and Machine Learning.

About Department

Gain Valuable Knowledge & Experience

Academic Excellence

The curriculum combines core computer science with specialized areas like Machine Learning, Deep Learning, NLP, Data Science, Computer Vision, Robotics, and Cognitive Computing.

State-of-the-Art Facilities

The department features well-equipped laboratories with advanced hardware and software, as well as a dedicated computer center housing 100 systems with licensed software.

Expert Faculty

Led by experienced professors, researchers, and industry practitioners, the department provides innovative teaching and hands-on guidance in specialized areas such as Artificial Intelligence

Practical Learning

Hands-on projects, workshops, and training in real-world AI/ML applications like reinforcement learning, cognitive computing, and HCI.

Career Outcomes

Graduates are industry-ready to build intelligent solutions for tech companies, research firms, and startups.

We Are Open For Opportunities!

At Vignan’s University, we welcome collaboration, innovation, and fresh perspectives. Whether you’re a student, researcher, or industry expert — there’s a place for you to grow and contribute.

VMTW Ghatkesar

Vignan's Institute of Management & Technology for Women

Vignan’s University stands as one of the most prominent institutions, committed to academic excellence, innovation, and holistic student development. Our focus on practical learning and real-world application ensures graduates are prepared for success.

Graduate On Time
78%
Student Skill Development
89%
Student Projects
97%
Quality Of Lecturers
87%

Our Vision & Mission

At Vignan University, our vision is to be a global leader in education and research, nurturing future-ready professionals.

To be a globally recognized center of excellence in education, research, and innovation in Artificial Intelligence and Machine Learning.

To deliver a comprehensive AI & ML curriculum with hands-on learning, promote cutting-edge research through industry and academic collaborations, and provide opportunities for professional growth, networking, and lifelong learning.

Our Journey of Excellence

The Department of Artificial Intelligence & Machine Learning at VMTW was established with an initial intake of 60 students, aiming to provide quality education and foster overall personality development.

2020

Department of AI & ML established with 60 students.

Facilities

Advanced labs, 100+ system computer center, licensed software.

Curriculum

AI, ML, Deep Learning, NLP, Data Science, Computer Vision, Robotics, and more.

Leadership

Guided by Dr. D. Shanthi, achieving milestones in research, patents, and academic excellence.

VMTW – CSE (AI&ML) Department

Syllabus

Semester-wise Syllabus Links by Regulation

RegulationI–II–IIII–III–IIIII–IIII–IIIV–IIV–II
VR25 Link ↗ Link ↗
VR24 Link ↗ Link ↗ Link ↗ Link ↗
R22 Link ↗ Link ↗ Link ↗ Link ↗ Link ↗ Link ↗ Link ↗ Link ↗
R18 Link ↗ Link ↗ Link ↗ Link ↗ Link ↗ Link ↗ Link ↗ Link ↗

Faculty List

Supporting Staff

S. NoNameDesignationQualification
01PrasannaProgrammerB.Tech (M.Tech)
02LavanyaProgrammerBSc (Computers)

Student Counselors / Mentors

II B.Tech – A, B & C Sections

S.NoName of the MentorRoll NumbersContact
1Mrs. Ch. Swapna24UP1A6601 to 24UP1A66279000139265
2Ms. P. Shilpa Sri24UP1A6628 to 24UP1A66539014322312
3Mrs. A. Swetha24UP1A6654 to 24UP1A6674 & LE: 25UP5A6601–25UP5A66069052222115
4Mr. N. Bhargav Krishna24UP1A6675 to 24UP1A66A18142113424
5Mrs. Pooja Sri24UP1A66A2 to 24UP1A66C79000865528
6Mrs. B. Ramya Sri24UP1A66C8 to 24UP1A66E7 & LE: 25UP5A6607–25UP5A66129346742291
7Dr. M. Vishnu Vardhan Rao24UP1A66E8 to 24UP1A66H39989362190
8Mrs. P. Pavani24UP1A66H4 to 24UP1A66J3 & LE: 25UP5A6613–25UP5A66188019935239

III B.Tech – A Section

S.NoName of the MentorRoll NumbersContact
1Mrs. V. Rupa22-6645, 23UP1A6601 to 23UP1A66209347027491
2Mr. S. Jayanna23UP1A6621 to 23UP1A66429703748502
3Mrs. G. Ramya23UP1A6643 to 23UP1A6654 & LE: 24UP5A6601–24UP5A66079182272723

III B.Tech – B Section

S.NoName of the MentorRoll NumbersContact
1Mr. B. Balakrishna23UP1A6655 to 23UP1A66749951570169
2Mr. D. Bikshalu23UP1A6675 to 23UP1A66948897967259
3Mr. S. Naveen Kumar23UP1A6695 to 23UP1A66A6 & LE: 24UP5A6608–24UP5A66149553180018

IV B.Tech

S.NoName of the MentorRoll NumbersContact
1Dr. M. Thejovathi22UP1A6601 to 22UP1A66239908563865
2Ms. T. Ramya Sri22UP1A6624 to 22UP1A66489553180018
3Mr. S. Sandeep Babu22UP1A6649 to 22UP1A6665 & 23UP5A6601–23UP5A6606988532351

Research Publications

S.NoAuthorsTitleJournalISSNVol/IssueYearIndex
S.NoAuthorsTitleConferenceISSNPagesYearIndex
S.NoAuthorsTitlePublisherISBNPagesYear
S.NoAuthorsTitleJournalISSNVol/IssueYearIndex
S.NoAuthorsTitleConferenceISSNYearIndex
S.NoAuthorsTitlePublisherISBNPagesYear
S.NoAuthorsTitleJournalISSNVol/IssueYearIndex
S.NoAuthorsTitleConferenceISSNYearIndex
S.NoAuthorsTitlePublisherISBNPagesYear

Department Leadership

Meet our Head of Department

Dr. M VISHNU VARDHANA RAO

Professor & Head, Department of CSE (AI&ML)

Qualification: Ph.D. in Computer Science, M.Tech CSE, B.Tech CSE

Experience: 21+  years in Academia and Research

Specialization: Software Engineering, Artificial Intelligence, Machine Learning, Biometrics

  • 14+ years of Teaching Experience in Computer Science & Engineering
  • Awarded Ph.D. in Computer Science & Engineering from Acharya Nagarjuna University (2021)
  • Qualified UGC-NET (2018) & AP-SET (2017) for Assistant Professor & Lectureship
  • Published 24 International Research Papers (SCI, SCOPUS & UGC Indexed)
  • Published 04 National Patents, 01 Book and 06 Book Chapters
  • Presented 06 International Conferences including IEEE & Springer
  • Guided 59+ B.Tech Students in academics and projects
  • Academic Counsellor at IGNOU and active member of ISTE, IEI, IAENG & SDIWC

Message from HOD

Welcome to the Department of CSE (AI&ML). Our vision is to blend academic excellence with practical learning, equipping students with cutting-edge skills in AI and ML. We strive to foster innovation, encourage research, and create industry-ready professionals capable of solving real-world challenges.

Educational Framework

Our comprehensive educational approach designed to create industry-ready professionals

PEO1

Students will establish a strong foundation in computer science by applying mathematical principles and core engineering fundamentals to analyze, design, and develop effective computing solutions.

PEO2

Students will use modern tools, platforms, and technologies supported by a strong learning infrastructure to solve computing problems and adapt to technological changes.

PEO3

Students will prepare for careers and entrepreneurship by developing employability skills, professional competence, ethical values, and social responsibility to meet industry and societal needs.

Program Outcomes (PO)

Comprehensive learning outcomes that our graduates will demonstrate

PO1

Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the solution of complex engineering problems

PO2

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.

PO3

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 safety, and the cultural, societal, and environmental considerations.

PO4

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

PO5

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.

PO6

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.

PO7

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.

PO8

Ethics: : Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

PO9

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.

PO10

Project Management and Finance: Demonstrate knowledge and understanding of the engineering 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.

PO11

Life-Long Learning: Recognize the need for and have the preparation and ability to engage in independent and lifelong learning in the broadest context of technological change.

Engineering Knowledge

Apply the knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the solution of complex engineering problems.

Additional Outcomes

Our program encompasses all 12 standard ABET program outcomes including problem analysis, design/development of solutions, modern tool usage, individual and team work, communication, project management, lifelong learning, and more.

PSO1

Apply mathematical foundations, basic sciences, and core engineering principles in a multidisciplinary manner to analyse and solve complex computer science and engineering problems.

PSO2

Develop solutions to real-world computing problems using modern tools, diverse programming languages, and open-source platforms.

PSO3

Apply ethical principles and consider societal impact and Sustainable Development Goals while developing and using computing solutions.

Department Achievements

4+

National & International Awards Won by Faculty

2

Award-Winning Professors

2020–2023

Awards in Education Excellence, Research, and Teaching

Our Experienced Instructors

Our team of seasoned instructors brings years of expertise, passion for teaching, and real-world experience.

Department Sections

Our department offers a wide range of specialized sections, each designed to provide in-depth knowledge and practical skills in key areas of study.

Research

Engaging in cutting-edge research in AI, IoT, and other emerging technologies.

Faculty Participation

Faculty actively contribute to academic leadership and continuous professional development.

Innovations in Teaching

Implementing modern teaching methods, including e-learning and project-based learning.

Professional Societies

Collaborating with professional bodies like ISTE, CSI, and IETE for career growth.

Student Participations

Encouraging student involvement in workshops, seminars, and industry projects.

Student Counsellors

Providing guidance on academic, career, and personal development through dedicated counselling.

Department Labs

Python Programming Lab

Data Analytics Lab

Machine Learning Lab

Skill Development Lab

Seminar Hall

Recent &
Upcoming
Events

Stay updated on the latest events and activities happening in our department. From workshops and seminars to guest lectures and industry visits, there’s always something exciting on the horizon.

Creative Carnival 2026

24

July, 2025

9:00 am

-

7:00 pm

Hyderabad

Vigyan Vaibhav 2026

26

July, 2025

9:00 am

-

2:00 pm

Hyderabad

Sports Day 2026

8

August, 2025

9:00 am

-

4:00 pm

Hyderabad

Blank Form (#3)
Call Now