Department Profile

Artificial Intelligence and Data Science program was started in 2020 with intake of 64. Now a days, this program has more demand in software industry. It is true that AI has replaced some jobs, however, it has also brought new roles for human workers. As per a 2017 research from IDC, released by SALESFORCE, AI is projected to create 823,734 jobs by the year 2021, surpassing the number of jobs lost to AI technologies such AS MACHINE LEARNING and AUTOMATION.

Aim of the Department

  • To give students 100% job placement especially in AI market.
  • To make all students Industry Ready.
  • To impart training so that they will get valuable certifications in the areas of Applied Machine Learning, Deep Learning, Computer Vision and NLP etc.
  • To make the experts in development of Real time projects

Head of the Department

Mr.Kiran Kalla

M.Tech,(Ph.d)

HoD, Dept. of AI & DS

Mr.Kiran kalla is a well Experienced Professor with a demonstrated history of working in the higher education industry. Skilled in Data Analysis, Training, Teaching, Higher Education, and Database Administration. Strong education professional with a Ph.D pursuing focused in MACHINE LEARNING,COMPUTER SCIENCE AND ENGINEERING from Jawaharlal Nehru Technological University ,Kakinada

Vision

  • To identify cross-cutting applications in other disciplines to co-evolve AI while solving domain-specific challenges,
  • To study social and cultural implications and assume leadership in formulation of policies for ethical and legal considerations
  • To design innovative educational programs and skills training mechanisms to prepare students and retool the workforce for the AI era,
  • To develop strategic partnerships with industry and government, and evolve training ecosystems for workforce development to cultivate the skills and capabilities necessary for the AI driven future

Mission

  • To bring together educators and researchers in an interdisciplinary environment to continue to make significant breakthroughs in advancing the promise of machine or human-machine systems that can address complex cognitive tasks.
  • Dedicated to providing an infrastructure and opportunities, which build relationships, facilitate creative interaction, and support the visionary ideas that are required to realize true machine intelligence and human-machine partnership.
U.G PEOs

PEO 1: Students will possess knowledge and the power of AI in wide spectrum from basic machine learning concepts to computer vision to advanced autonomous systems.
PEO 2: Students will get expertise to transform their theoretical knowledge and cutting-edge technology into innovative products towards solving real-world problems and helping society in several dimensions
PEO 3: Students will process enormous quantity of data and variety of algorithms to reveal hidden patterns, correlations, insights, and help organizations harness their data to identify new opportunities.
U.G PSOs

PSO 1 : Technical Skills: Apply the fundamental knowledge to develop AI based systems using computational principles, methods and systems for extracting knowledge from data and modern computational systems
PSO 2 : Leadership Skills: Demonstrate professionalism and ethics in managing academic/ non-academic activities as a team and an individual.
PSO 3 : Social Responsibility: Develop an attitude to understand the societal issues and apply the acquired professional skills to provide feasible AI-based solutions