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

CSE (Artificial Intelligence and Machine Learning)

The AI & ML Department is a leading academic department specializing in Artificial Intelligence and Machine Learning , with an intake of 60 in B.Tech program . 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 students' 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.

  • 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

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. N. SONY M.TECH ASSISTANT PROFESSOR 1-43788888389 02-06-2022  
2 Mr. D. NARESH M.TECH ASSISTANT PROFESSOR 1-44483655521 10-07-2023
3 Mr. S. M. H. MOHAMMAD USMAN M.TECH ASSISTANT PROFESSOR 1-43812216314 10-07-2023

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 Sri Dr. M. VEKATA RAMANA has published survey paper titled “AN APPROACH FOR ROUTING IN DELAY TOLERANT MOBILE AD-HOC NETWORKS USING QUADRANT-BASED LOOK AHEAD METHOD” in SCOPUS Index.
2 Sri Dr. M. VEKATA RAMANA has published survey paper titled “A COMPARATIVE REVIEW ON OBJECT DETECTION SYSTEM FOR VISUALLY IMPAIRED” in SCOPUS Index.
3 Sri Dr. M. VEKATA RAMANA has published survey paper titled “OPPORTUNISTIC ADAPTIVE ROUTING PROTOCOL FOR DELAY TOLERANT MOBILE AD-HOC NETWORKS” in SCOPUS Index.
4 Sri S. MOHAMMAD ALI has published “A CRYTOGRAPHLICALLY ENFORCED DYNAMIC ACCESS CONTROL SYSTEMS ON UMTRUSTED CLOUD” in ALOCHAMA CHAKRA, July 2021.
5 D. Jareena Begum has published paper titled “THE APPROACH OF MEAN SHIFT BASED COSINE DISSIMILARITY FOR MULTI-RECORDING SPEAKER CLUSTERING” in IJISET, July 2015.
6 Sri P. CHANDRA SEKHAR has published “IMPLEMENTATION OF PARLLEL PROCESSING METHOD THAT SUPPORT VARIOUS MIC LEARING ALGORITHMS” in IJFGCN, July 2021.
7 Sri P. CHANDRA SEKHAR has published “A CONCEPUTAL REVIEW ON MACHINE LEARING TECHNIQUES AND ITS APPLICATION” in ALOCHAMA CHAKRA, July 2021.

Departments Events

Laboratories