Introduction

The Department of Artificial Intelligence has conceptualized in the year 2019. The Department has started a Program in B. Tech Artificial Intelligence with an intake of 60. By virtue of it, the intake has been enhanced from 60 to 120 with effect from the academic year 2020-21. The Department has also started a new Program B. Tech Artificial Intelligence and Machine Learning with an intake of 60 in same academic year. The key objective of department is to impact cutting-edge Artificial Intelligence, Machine Learning Technology knowledge to students so that they can meet the challenging demands of the IT industry and do their research in the same area. Through this program, students equip with emerging technology developments and master in latest skills required by the Industry, Research and Society at large.

Highlights of the Department

  • The Dept. of Information Technology has been re-accredited by National Board of Accreditation (NBA) in Tier-I, valid till 30th June, 2021.
  • Excellent Teaching-Learning Environment
  • Highly qualified and committed faculty members with good academic and research experience
  • Usage of ICT (Information and Communication Technology)
  • Implementing best practices and processes to achieve Outcome Based Education System
  • Active student’s chapters of ISTE, IEEE, ACM and CSI.

Programs

Undergraduate Program
B.Tech AI-120
B.Tech AIML-120
Postgraduate Program
M.Tech AI-18

Vision

To evolve as a centre of excellence for Artificial Intelligence Pedagogy and achieve the excellence for future Research and Development in the relevant field.

Mission

To impart high quality education in Artificial Intelligence for Under Graduate & Post Graduate students by providing concepts, exposure to practical knowledge and improving the leadership qualities, professional ethics, analytical thinking as to work with a commitment to excel their careers.

Head of the Department

Faculty

Prof. SYEDA SAMEEN FATIMA

Ph. D Professor

Dr. TILOTTAMA GOSWAMI

Ph. D Professor

Dr .S. KRISHNA ANAND

Ph. D Professor

Dr. PARDEEP KUMAR

Ph. D Assistant Professor

Mr. M. HARI PRASAD

Ph. D Assistant Professor

Board of Studies


Prof. S Sameen Fatima

Registrar, AU, Chairperson


Dr. G Vishnu Murthy

Dean Engineering, AU, Member


Dr Vijaya Kumari Gunta

Professor, JNTUH, Member


Dr Tilottama Goswami

Professor, AU, Member

Outcome Based Education (OBE)

It’s a student-centric approach It’s not what teacher teaches, it’s what student learns. The desired outcomes are determined first and the programme curriculum, teaching and learning methodology and supporting facilities are designed to support the intended outcomes

  • Program Educational Objectives (PEO)
  • Program Outcomes (PO)
  • Program Specific Outcomes (PSO)
  • Programme Assessment Committee (PAC)
  • Department Advisory Board (DAB)

Program Educational Objectives (Peo)

  • PEO1:Graduate should be a sound foundation in the mathematics, science and technology, necessary to analyze & solve real world problems and to prepare them for Graduate Studies and Research.
  • PEO2:To solve engineering problems in the Information Technology domain with appropriate tools, use the knowledge gained in core theory and practical curriculum subjects.
  • PEO3:Opportunities are provided for graduates to work as part of teams on various projects which are multidisciplinary in nature requiring logical and programming skills.
  • PEO4:Graduates should take up higher education or employment positions with good communication and presentation skills in the Information Technology field.

Program Outcomes (Po)

  • PEO1:Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialisation for the solution of complex engineering problems.
  • PEO2:Problem analysis: Identify, formulate, research literature, and analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
  • PEO3:Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet t h e specified needs with appropriate consideration for public health and safety, and cultural, societal, and environmental considerations.
  • PEO4: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.
  • PEO5:Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modelling to complex engineering activities, with an understanding of the limitations.
  • PEO6: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.
  • PEO7: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.
  • PEO8:Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  • PEO9:Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  • PEO10:Communication: Communicate effectively on complex engineering activities with the engineering community and with t h e 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.
  • PEO11:Project management and finance: Demonstrate knowledge and understanding of t h e 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.
  • PEO12:Life-long learning: Recognise the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change. The POs formulated for each programme by the institute must be consistent with the NBA’s Graduate Attributes.. The POs must foster the attainment of the PEOs.

Program Specific Outcomes (Pso)

  • PSO1:Professional Skills: Ability to Learn the basic concepts of Artificial Intelligence and its allied areas such as Machine Learning, Data Science and Data Analytics and to apply them to various fields, like Health Care System, Robotics, Gaming, Automobile etc.
  • PSO2:Problem-Solving Skills: Implement effective and appropriate Solutions to complex Artificial Intelligence problems using latest hardware and software tools.
  • PSO3:Career Growth: Ability to become successful Employee, Entrepreneur, Academician and/or Researcher.

Curriculum R-20

AI

AI

Curriculum R-18

SemesterSubjectsElectives
Monitors the attainment of POs and PEOs.Monitors the attainment of POs and PEOs.Monitors the attainment of POs and PEOs.
Monitors the attainment of POs and PEOs.Monitors the attainment of POs and PEOs.Monitors the attainment of POs and PEOs.

Program Assessment Committee

Name of the FacultyDesignation
Prof. S Sameen FatimaChairman
Dr Tilottama GoswamiConvener
Dr S Krishna AnandMember
Dr Abdul AhadMember
Dr Pardeep KumarMember
Mr M Hari PrasadMember
Convener: Dr Tilottama Goswami

Responsibilities of Programme Assessment Committee (PAC)

  • Monitors the attainment of POs and PEOs.
  • Will monitor the attainment of POs and PEOs.
  • Program effectiveness evaluation and recommends necessary changes.
  • Prepares periodic reports, records program activities, progress, status or other special reports for key stake holders.
  • Design of assessment surveys, distribution and Evaluation process.
  • Motivates the faculty and students towards attending workshops, developing projects and research publications.

Student Achievements/ Activities 2020-2021

Facilities

  • Two laboratories are available in the department.
  • The internet speed available in the department laboratories and faculty rooms are 175 mbps
  • Computer systems are maintained by lab technicians and central system administration department in a periodical manner
  • Department laboratories are well equipped to satisfy students requirement beyond the curriculum
  • Open source software is used for curriculum laboratory implementation.
  • All computers in the laboratory have a UPS backup.
  • Our campus is covered under Oracle and CISCO alliance

In addition to the regular practical classes, labs are also used for the following:

  • Workshops
  • Faculty Development Programmes

Professional Chapters

ISTE ( Indian Society for Technical Education )

Indian Society For Technical Education aims at improving the standard of Technical Education in India. It is head quartered at New Delhi, and spreads its branches across the country.The Indian Society for Technical Education is a national, professional, non-profit making Society registered under the Societies Registration Act of 1860. CVSR college of Engineering is a renowned member of ISTE and runs ISTE chapter and ISTE student Chapter . The major objective of the ISTE is to assist and contribute in the production and development of top quality professional engineers and technicians needed by the industries and other organizations. Being the only national organization of educators in the field of Engineering and Technology, ISTE effectively contributes in various missions of the Union Government. The Ministry of Human Resource Development, CTE / DST / MIT / State Governments are well associated with the ISTE for programmes relating to technical education.

IEEE ( Institute of Electrical and Electronics Engineers )

IEEE is the world’s largest professional association dedicated to advancing technological innovation and excellence for the benefit of humanity. IEEE and its members inspire a global community through IEEE’s highly cited publications, conferences, technology standards, and professional and educational activities. IEEE Student Branches are established at universities and colleges around the world. Within IEEE, activities are organized geographically by Region and local section.

CSI ( Computer Society Of India )

The CVSR CSI chapter formed in 2008, the CSI has been instrumental in guiding the Indian IT industry down the right path. Today, the CSI has 70 chapters all over India, 418 student branches, and more than 90000 members including India’s most famous IT industry leaders, brilliant scientists and dedicated academicians. The mission of the CSI is to facilitate research, knowledge sharing, learning and career enhancement for all categories of IT professionals, while simultaneously inspiring and nurturing new entrants into the industry and helping them to integrate into the IT community. The CSI is also working closely with other industry associations, government bodies and academia to ensure that the benefits of IT advancement ultimately percolate down to every single citizen of India.

ACM(Association for Computing Machinery)

The Association for Computing Machinery (ACM) is a U.S.-based international learned society for computing. It was founded in 1947 and is the world’s largest and most prestigious scientific and educational computing society. Its headquarters are in New York City. The objectives of the organization are to foster an involvement in the awareness of the development of the general computing environment. Its membership is more than 100,000.ACM is organized into over 170 local chapters and 35 Special Interest Groups (SIGs), through which it conducts most of its activities.Additionally, there are over 500 college and university chapters. The first student chapter was founded in 1961.

IT Lab

B.Tech, II year I semester

IT Lab

B.Tech, II year I semester

IT Lab

B.Tech, II year I semester

IT Lab

B.Tech, II year I semester

IT Lab

B.Tech, II year I semester

Advanced Equipment

  • Two laboratories are available in the department.
  • Total number of computer systems available in the department 124 Nos.
  • The internet speed available in the department laboratories and faculty rooms are 175 mbps
  • Computer systems are maintained by lab technicians and central system administration department in a periodical manner
  • Department laboratories are well equipped to satisfy students requirement beyond the curriculum
  • Open source software is used for curriculum laboratory implementation.
  • All computers in the laboratory have a UPS backup.
  • Our campus is covered under Oracle and CISCO alliance

In addition to the regular practical classes, labs are also used for the following:

  • Workshops
  • Faculty Development Programmes
All Labs are supported by UPS with 2 hours backup and generator.

Industrial Visits

Academic year 2019-20

Faculty Guiding Ph.D

Name of the FacultyResearch Students
Prof S Sameen Fatima08

Faculty Pursuing Ph.D

Name of the FacultyName of the UniversityArea of Research
Mr M Hari PrasadVELLORE INSTITUTE OF TECHNOLOGY, VELLOREDigital Image Processing

Faculty Research Publications

Academic year 2020-21
SL.noAuthorArticle TiltleJournal/ConferencePublication Details
1Dr.S.Sameen FatimaHeart Disease Prediction using Ensemble Learning MethodJournalInternational Journal of Recent Technology and Engineering
2Dr.S.Sameen FatimaHeart Disease Prediction using Extended KNN(EKNN)JournalInternational Journal of Advanced Trends in Computer Science and Engineering
3Dr.S.Sameen FatimaA Study of Automated Evaluation of Student’s Examination Paper using Machine Learning TechniquesConferenceInternational Conference on Computing, Communication, and Intelligent Systems (ICCCIS)
4Dr.Tilottama GoswamiVoice-controlled AI Teaching Assistant for Visually Impaired and Specially Abled - A Case Study During PandemicJournalIEEE Transactions on Education, Communicated, June 2021
5Dr.Tilottama GoswamiAccuracy Comparison for Imbalanced Datasets with Its Balanced Counterparts Obtained by Different Sampling TechniquesConferenceICCCE 2020, Lecture Notes in Electrical Engineering 698, pg 45-54, https://doi.org/10.1007/978-981-15-7961-5_6
6Dr.Tilottama GoswamiCNN Model for American Sign Language RecognitionConferenceICCCE 2020, Lecture Notes in Electrical Engineering 698,pg 55-61, https://doi.org/10.1007/978-981-15-7961-5_6
7Dr Pardeep Kumar,Getting Useful Information From Cricket Data Set Using Data Analytics Techniques Odi Cricket Team Performance Analysis Using Data Mining Classification TechniquesJournalTurkish Journal of Computer and Mathematics Education,Vol .12, Issue:9,Pg:684-693,Apr 2021
8Dr Pardeep KumarDevelopment of a Prototype Power Distribution Misuse Monitoring SystemConferenceICACSE 2020, Journal of Physics: Conference Series, (doi:10.1088/1742-6596/1964/4/042025)
9Dr Pardeep KumarMachine Learning-Based Solution Predicting Hardware FaultsConferenceICACSE 2020, Journal of Physics: Conference Series, (doi:10.1088/1742-6596/1964/4/042025)
Patent
Name of FacultyPatent CountryPatent TitleStatus
Dr Pardeep KumarIndian PatentAutomated Pollution Monitoring And Controlling System To Ensure Safety Inside Closed Air Conditioned VehiclesPublished

Contact Us

  • Prof. SYEDA SAMEEN FATIMA

    HOD

2nd year - A

2nd year - B