Department of Artificial Intelligence & Machine Learning
Artificial Intelligence and Machine Learning
The Department of CSE (Artificial Intelligence & Machine Learning) was established in the year 2020 with an initial intake of 60. It has been enhanced to 120 in 2021, 180 in 2022 and 360 in 2025 and 540 in 2026.The department provides an Industry ready and NEP 2020-aligned curriculum with a research-driven academic environment integrating theoretical and practical applications by enabling graduates to think critically, innovate and proceed with confidence. The Department is also well equipped with multiple laboratories, ICT-enabled teaching learning facilities that provide effective theoretical and practical learning environment.
The department is supported with well experienced, qualified, and dedicated faculty members with an average experience of 12 plus years. Department had excess Doctorates and 95% of remaining faculty members are pursuing their Ph.Ds. in various reputed universities. To bridge the gap between academia and industry, the department regularly organizes workshops, guest lectures, seminars, industrial visits, innovative Teaching Learning and project-based learning activities.All the faculty members and students possess various Professional body memberships like IEEE, CSI, IEI, ISTE, IAENG, NS, and many more. Department is having a student club, Artificial Intelligence and Machine Learning Student Association(AIMSA) and various Committees to actively conduct technical events, coding activities, and knowledge-sharing sessions and provide platforms for students to enhance their creativity, leadership, and technical skills.
The department also encourages students to participate in cultural, sports, and extracurricular activities for their overall personality development. Hackathons and Tech Expo’s are conducted regularly to promote innovation, problem-solving abilities, and teamwork capabilities among students.From inception, over the past pass out academic years, students of the department have secured good number of placements in reputed companies with highest package of 9 LPA and an average package of 3.8 LPA with multiple job offers, reflecting the department’s strong academic environment, industry-oriented training, and commitment to student success.
HOD's MESSAGE
A Message from the Head of Department
Our students excel in academics, research, innovation, sports, entrepreneurship, and national competitions, making a meaningful impact both on campus and beyond.
Dr. Prakash Bethapudi
Professor & Head of Department
Department of Artificial Intelligence & Machine Learning
Department of CSE–Artificial Intelligence and Machine Learning is headed by Dr. Prakash Bethapudi. He holds a Ph.D from Acharya Nagarjuna University and M.Tech from Andhra University. He has 22+ years of experience in teaching, research, and administration. His areas of interest include Image Processing, Artificial Intelligence, Data Mining. Machine Learning and IoT. He serves as Editorial Board Member and Reviewer for several National and International Journals.
His previous assignments include Professor at Andhra University, Visakhapatnam, Associate Professor at GITAM Deemed to be University, Visakhapatnam, Associate Professor, Professor & HoD (CSE, IT & DS) Vignan Group of Institutions, Hyderabad, Viskhapatnam and Principal for Vignan’s Institute of Engineering for Women, Visakhapatnam.
Vision Statement
To impart quality technical education by promoting globally competent professionals with values towards Research, Higher Education and Entrepreneur skills to meet Industry and Societal needs.
Mission Statement
- To impart Quality Education through state of the art curriculum and provide competent learning environment.
- To promote Globally competent professionals to meet Societal and Industry needs.
To build Leadership skills and a friendly ecosystem that maintain ethical impact and standards.
B.Tech - Artificial Intelligence & Machine Learning
Program Education Objective (PEOs)
PEO1: Graduates will be able to gain expertise in core Artificial Intelligence & Machine Learning concepts and work effectively as an individual towards successful career.
PEO2: Graduates will be able to design, develop and implement economically feasible and socially acceptable IT-Solutions
PEO3: Graduates will be able to enhance their skills towards research, higher studies and entrepreneurship
Program Specific Outcomes
PSO1: Apply core and advanced principles of Artificial Intelligence and Machine Learning to analyze, design, develop, and implement efficient software, hardware, and network solutions for real-world problems
PSO2: Integrate Knowledge and apply modern IT tools and techniques to address complex engineering problems and improve innovation and establish Entrepreneurshi skills.
Program Outcomes (POs)
PO1: Engineering Knowledge: Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization to develop solutions to complex engineering problems.
PO2: Problem Analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development.
PO3: Design/Development of Solutions: Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required.
PO4: Conduct Investigations of Complex Problems: Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions.
PO5: Engineering Tool Usage: Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems.
PO6: The Engineer and The World:Analyze and evaluate societal and environmental aspects while solving complex engineering problems for their impact on sustainability with reference to economy, health, safety, legal framework, culture and environment.
PO7: Ethics: Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws.
PO8: Individual and Collaborative Teamwork: Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.
PO9: Communication: Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences
PO10: Project Management and Finance: Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.
PO11: Life-Long Learning: Recognize the need for, and have the preparation and ability for
- independent and life-long learning
- adaptability to new and emerging technologies and
- critical thinking in the broadest context of technological change.
Curriculum
Click on a course name below for viewing the course description and course outcomes.
1st Semester
2nd Semester
1st Semester
2nd Semester
1st Semester
2nd Semester
1st Semester
2nd Semester
Diploma - DAIM
Meet the Faculty of Artificial Intelligence & Machine Learning
Faculty with specialised knowledge in Artificial Intelligence and Machine Learning, contributing to academic learning, research and project development.
Dr B Prakash
Professor, HOD
Dr.A.Srirama Kanaka Ratnam
Professor
Dr.T.Chalama Reddy
Professor
Dr.T Venkateswarlu
Associate Professor
Mr.Elika Sambasiva Rao
Assistant professor
Mr.M.Chennakesava Rao
Assistant professor
Mr.Kancharla K Chaitanya
Assistant professor
Mr.Mutyala Satish
Assistant professor
Mrs.M Lakshmi Tirupatamma
Assistant professor
Mr.Manchalla Ashok Nagasai
Assistant professor
Mrs.Thadiboina Sowjanya
Assistant professor
Mrs.ALakshmi Rajeswari
Assistant professor
Mr.Kativarapu Vinod
Assistant professor
Mr.P.Bhagavandas
Assistant professor
Mrs.Alekhya Thirumalasetty
Assistant professor
Mrs.N Rajya Lakshmi Prasanna
Assistant professor
Mr.Y Leela Krishna
Assistant professor
Mr.G Mahesh
Assistant professor
Mrs.Sirisha Konakala
Assistant professor
Ms.Sk Afroz
Assistant professor
Mr.G.Haranadha Babu
Assistant professor
Lingisetty Ramesh
Programmer
Aguru Sindhuja
Programmer
Varagani Naga Lakshmi Pavani,
Programmer
Varagani Naga Lakshmi Pavani,
Programmer
LABORATORIES
Explore Our AI & ML Laboratories
Dedicated laboratories give students hands-on experience with AI platforms, computational tools and real-world applications through experimentation and project work
Programming in C Lab & Data Structures Lab
DBMS Lab & OS Lab
OS Lab & SEC Lab
CNS Lab & CC Lab
Pioneers of research and Innovations
Research Publications
Faculty Research & Publication Records
| S. No. | Paper Title | Faculty Name | Journal / Conference | Month & Year | ISSN / ISBN |
|---|---|---|---|---|---|
| 01 | Hybrid Machine Learning Approach for Phishing URL Detection | Dr. B. Prakash | Automatic Control and Computer Sciences | July, 2025 | 1464116 |
| 02 | Fuzzy Logic-Genetic Algorithm Framework for Energy Efficient Task Scheduling in IOT Enabled Fog Cloud Networks | Dr. B. Prakash | Asian Conference on Intelligent Technologies | Oct, 2025 | - |
| 03 | Analyzing the Impact of Personalized Emotion Recognition on Academic Success of University Students using AVO and HO-MWNN Neural Models | Dr. T. Venkateswarlu | National Journal of Antennas and Propagation | Mar, 2026 | 25822659 Aiml |
TOP RECRUITERS
Trusted by Leading Industry Partners
Our students are recruited by renowned national and multinational companies across diverse industries.
Trusted by Leading Recruiters
Placement Rate
Average Package
Recruiting Companies
Highest Package
STUDENT SUCCESS
Student Progress in AI & Machine Learning
Showcasing how students translate their learning into meaningful work, technical accomplishments and contributions within the field.
6 LPA
Veeramalla Ravi Kumar
Artificial intelligence & Machine Learning | 2024
6 LPA
Malli Reddy Tharun Akash Reddy
Artificial intelligence & Machine Learning | 2024
4.2
G. Poojitha
Artificial intelligence & Machine Learning | 2024
4 LPA
Shaik Umme Salma
Artificial intelligence & Machine Learning | 2024
2.7 LPA
Ravi Lakshmi Sai Varun
Artificial intelligence & Machine Learning | 2025-26
4 LPA
AVULA GOWTHAM REDDY
Artificial intelligence & Machine Learning | 2025-26
2.7 LPA
Bannaravuri Triveni
Artificial intelligence & Machine Learning | 2025-26
3 LPA
Bathini Venkata Rohit
Artificial intelligence & Machine Learning | 2025-26
4 LPA
Bathula Krishna Priyanka
Artificial intelligence & Machine Learning | 2025-26
2.7 LPA
BATHULA SHANMUKHA SRIRAM
Artificial intelligence & Machine Learning | 2025-26
2.5 LPA
Bayapuri srinivasa Prasanna Kumar
Artificial intelligence & Machine Learning | 2025-26
2.7 LPA
BATHULA SHANMUKHA SRIRAM
Artificial intelligence & Machine Learning | 2025-26
2.7 LPA
Bollepalli Teja
Artificial intelligence & Machine Learning | 2025-26
2.7 LPA
Boragadda Srinadh
Artificial intelligence & Machine Learning | 2025-26
2.7 LPA
Boragadda Srinadh
Artificial intelligence & Machine Learning | 2025-26
3 LPA
CHALLA SIVA DURGA PRASAD
Artificial intelligence & Machine Learning | 2025-26
2.7 LPA
Chintalapudi Abhinav
Artificial intelligence & Machine Learning | 2025-26
2.7 LPA
CHINTAPALLI AARYA
Artificial intelligence & Machine Learning | 2025-26
2.7 LPA
CHINTAPALLI ESWAR
Artificial intelligence & Machine Learning | 2025-26
4 LPA
Dhavaleswarapu keerthi
Artificial intelligence & Machine Learning | 2025-26
4 LPA
GANNEBOINA MANUSHA
Artificial intelligence & Machine Learning | 2025-26
3 LPA
Gunji santosh kumar
Computer Science Engineering | 2025-26
3 LPA
Gunturu Dhana Sree
Computer Science Engineering | 2025-26
3 LPA
GUNTURU MUKESH
Computer Science Engineering | 2025-26
3 LPA
JAGADALA DURGA PRASANNA
Computer Science Engineering | 2025-26
3 LPA
JANJANAM YUVASREYA SREE
Computer Science Engineering | 2025-26
4 LPA
Atluri Nitin Reddy
Computer Science Engineering | 2025-26
4 LPA
Bezawada vandana
Computer Science Engineering | 2025-26
4 LPA
MOTUPALLI SAI VENKATA HEMALATHA
Computer Science Engineering | 2025-26
3 LPA
MUDAMANCHU ASHOK
Computer Science Engineering | 2025-26
Highest Package
₹9 LPA
Placed At United Airlines
Highest package achieved by our Students
Chokka Lakshmi Jahnavi
Artificial intelligence & Machine Learning | 2024-25
Top Achievers
4 LPA
AVULA GOWTHAM REDDY
Artificial intelligence & Machine Learning | 2025-26
4 LPA
Dhavaleswarapu keerthi
Artificial intelligence & Machine Learning | 2025-26
4 LPA
GANNEBOINA MANUSHA
Artificial intelligence & Machine Learning | 2025-26