Artificial Intelligence & Data Science | Engineering Courses- - Top Engineering College Kadapa- AITS Kadapa

Artificial Intelligence & Data Science

Artificial Intelligence and Data Science (AI&DS) is a new, exponentially emerging field which consists of a set of tools and techniques used to extract useful information from data. AI&DS is a fast growing discipline and is full of rigorous practical analysis. The demand for undergraduates in AI and DS has experienced an increasing demand in the Global market over the last few years. Building human-level thought processes through the creation of artificial intelligence (AI) is the state-of-the-art in Computer Science. Intelligent machines are influenced by emerging technologies, smart devices, sensors, computing power, faster data processing, huge storage and human-machine interaction capabilities. Data Science (DS) is an interdisciplinary field with the ability to extract knowledge/insights from data - be it structured, unstructured, or semi-structured data. AI with DS, is in demand with the extensive usage of smart phones, innovations in social media, online banking, etc.., and more efficient and powerful solutions to smart environments including Internet of Things and Industry 4.0. AI and DS delivers data driven solution using computational principles, methods and systems for extracting knowledge from data and modern computational systems that demonstrate capabilities of perception, reasoning, learning and action that are typical of human intelligence.

  • Vision & Mission
  • HOD Profile
  • PROGRAM OUTCOMES(POs)
  • Faculty Achievements
  • Faculty Lists
  • Departments Events

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 Data Science.
  • To impart quality and value-based education and contribute towards the innovation of computing expert system, Data Science to raise satisfaction level of all stake holders.
  • Our effort is to apply new advancements in high performance computing hardware and software.

HOD Profile

Dr.Venkata Ramana Motupalli , M.Tech, Ph.D, M.I.S.T.E.HOD

Dr.Venkata Ramana Motupalli , M.Tech, Ph.D, M.I.S.T.E.
Associate Professor and Head
Department of Artificial Intelligence & Data Science
Annamacharya Institute of Technology and Sciences
KADAPA – 516003, Andhra Pradesh

venkataramana_558@yahoo.co.in
+9885784541

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.

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.

Faculty Lists

TEACHING FACULTY DETAILS DEPARTMENT AI & DS

S.NO NAME OF FACULTY QUALIFICATION DESIGNATION AICTE_ID. DATE OF JOINING
1. Dr. K. Venkata Ramana Ph.D Professor 1-43429410966 02/08/2021  
2. Dr. M. Venkata Ramana Ph.D Associate Professor 1-7387130479 18/03/2021  
3. Smt. P.Parimala Kumari M. Tech   Assistant Professor 1-3551309048 14/09/2022  
4. Miss. S. Nadiya M. Tech   Assistant Professor 1-43454427595 01/10/2017  
5. Miss. B.Mamatha M. Tech   Assistant Professor 1-43788888331 02/06/2023  
6. Miss. K.Sai Sree M. Tech   Assistant Professor 1-43788888199 03/06/2023  
7. Mr. G.Chenna Keshava Reddy M. Tech   Assistant Professor   29/04/2024
8. A.Krishna Priya M. Tech   Assistant Professor 1-11324399428 02/06/2022
9. Mr. P.Chandra Obul Reddy M. Tech   Assistant Professor 1-43794690136 14/07/2020
10. P. Arshiya Khanam M. Tech   Assistant Professor 1-43794689568 06/06/2019

Departments Events

Events