Artificial Intelligence and Machine Learning | Engineering Courses- - Top Engineering College Kadapa- AITS Kadapa

CSE (Artificial Intelligence and Machine Learning)

Department of CSE (AI & ML) in AITS, Kadapa was established in 2022-23 academic year with an intake of 60 students in B.Tech programme and subsequently increased to 180 in 2024-25 academic year. The CSE (AI & ML) is a leading academic department specializing in Artificial Intelligence and Machine Learning. It offers a comprehensive curriculum, covering foundational concepts and advanced topics in AI and ML. The department boasts state-of-the-art infrastructure, including well-equipped labs and high-performance computing systems. With experienced and expert faculty members, students receive quality education and mentorship in AI and ML. The department encourages research and innovation, providing opportunities for students to contribute to the field through projects and collaborations. Industry partnerships and internships enhance student’s practical exposure and employability in the AI and ML industry. Career guidance and placement support ensure students are well-prepared for diverse career opportunities in data science, AI research, and more.

The department fosters a dynamic learning environment, stimulating critical thinking and problem-solving skills in AI and ML. Students benefit from seminars, workshops, and conferences that facilitate knowledge exchange.

The curriculum includes foundational courses in mathematics, programming, and data science, followed by in-depth courses on AI concepts, ML algorithms, deep learning, NLP and more.

The courses are designed to strike a balance between theoretical knowledge and practical implementation, equipping students with the necessary skills to tackle real-world AI and ML challenges.

The department boasts state-of-the-art infrastructure, including well-equipped labs and high-performance computing systems.

Dedicated faculty members and career counsellors provide personalized guidance to students, helping them explore different career paths and align their interests and skills with industry requirements.

Through their expertise and industry connections, the faculty members ensure that the curriculum remains up-to-date with the latest advancements in AI and ML.

  • Vision & Mission
  • PROGRAM OUTCOMES(POs)
  • HOD Profile
  • Faculty List
  • Student Achievements
  • Faculty Achievements
  • Departments Events
  • Laboratories

Vision & Mission


Vision

  • To Achieve excellent standards of quality education by using the latest tools, nurturing collaborative culture and Disseminating customer-oriented innovations to relevant areas of academia and industry towards serving the greater cause of society.


Mission

  • To develop professionals who are skilled in the area of Artificial Intelligence and machine learning.
  • To impart quality and value-based education and contribute towards the innovation of computing expert system, machine learning to raise satisfaction level of all stake holders.
  • Our effort is to apply new advancements in high performance computing hardware and software.

HOD Profile

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Mrs. S.Z.Parveen,M.Tech,(Ph. D).,
Assistant Professor and Head
Department of CSE(AI&ML)
Annamacharya Institute of Technology and Sciences,
Kadapa-516003, Andhra Pradesh.

zuleakhaparveen88@gmail.com
+91- 8522856648

Faculty List

TEACHING FACULTY DETAILS DEPARTMENT CSE (AIML)

S. No Name of Faculty Qualification Designation AICTE _ID Date of Joining
1 Smt. S.Z. Parveen M. Tech, (Ph.D) Assistant Professor, HOD 1-2182585362 15/06/2013
2 Mr. D. Masthan Valli M. Tech Assistant Professor 1-9317168071 02/08/2019
3 Miss. S. Susmitha M. Tech Assistant Professor 1-43788887497 24/06/2023
4 Mr. Shaik Naseeruddin M. Tech Assistant Professor - 01/05/2024
5 Mr. Syed Muzibuddin M. Tech Assistant Professor - 14/05/2024

PROGRAM OUTCOMES(POs)

PROGRAM OUTCOMES(POs)

    Engineering Graduates will be able to:
  1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  10. 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.
  11. 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.
  12. 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.

Student Achievements

Faculty Achievements

Faculty Achievements

S.No Achievements
1 Smt S.Z.PARVEEN has published a paper on 4th International conference on Artificial Intelligence and Knowledge process titled “Classification of Brain Tumour’s from MRI image using Novel CNN model and Optimization Approaches.” ,2024
2 Smt S.Z.PARVEEN has Published patent for “IOT and ML Based Elderly Support System for Independence in daily life.”, 2024
3 Sri SYED. MUZIBUDDIN has published International Journal paper titled “Analysis of diabetes detection using Decision Tree Classifier.”, 2023
4 Smt S.Z.PARVEEN has published Journal paper titled “Imbalanced Datasets Classification Using Random Split Bagging Ensemble Technique.”, 2022
5 Smt S.Z.PARVEEN has published Journal paper titled “Privacy Protection Scheme in Wireless Sensor Networks using Effective Models.” 2020
6 Smt S.Z.PARVEEN has published Journal paper titled “Preclude handling DDoS attacks using effective routing schema.”, 2019.
7 Smt S.Z.PARVEEN has published International Journal paper titled “A Heuristic approach on CaRP using complete AI problems.”
8 Smt S.Z.PARVEEN has published International Journal paper titled “Providing forward secrecy and escrow-free for parallel network file system”
9 Smt S.Z.PARVEEN has published Journal paper titled “Privacy Preserving and Realistic Location Based Rewarding System.”
10 Smt S.Z.PARVEEN has published Journal paper titled “Behavioural Detection and Containment of Proximity Malware in DTN.”
11 Smt S.Z.PARVEEN has published International Journal paper titled “Intrusion-Detection System for MANETs.”
12 Smt S.Z.PARVEEN has published National Conference paper titled “Enabling for Cost Effective Privacy Preserving of Intermediate Dataset in Cloud Parallel Distributed System.”
13 Smt S.Z.PARVEEN has published International conference on “Artificial Intelligence and Knowledge process.”
14 Smt S.Z.PARVEEN has published National conference titled “A System to Filter Unwanted Messages from OSN User walls.”
15 Smt S.Z. PARVEEN has attended Workshop on titled “Recent Trends in Engineering & Management.”

Departments Events

Events

Laboratories