Department of Artificial Intelligence & Data Science
B. Tech. in Artificial Intelligence and Data Science (AI &DS) with intake of 60 started in 2021, offered by the Computer Science and Engineering Department is an undergraduate programme with advanced learning solutions imparting knowledge of advanced innovations like artificial intelligence, data science, machine learning and deep learning. The main goal of artificial intelligence and data science is to program computers to use example data or experience to solve a given problem.
Artificial Intelligence and Data Science is a new, exponentially growing field which consists of a set of tools and techniques used to extract useful information from data. This specialized course is specially designed to enable students to build intelligent machines, software, or applications with a cutting-edge combination of machine learning, analytics and visualization technologies.
This course aims at providing not only the core technologies such as artificial intelligence, data mining and data modeling but also gives intensive inputs in areas of machine learning and big data analytics. By this course, the students will gain cross-disciplinary skills across fields such as statistics, computer science, machine learning, and logic, data scientists and may have career opportunities in healthcare, business, ecommerce, social networking companies, climatology, biotechnology, genetics, and other important areas. The major focus of this programme is to equip students with statistical, mathematical reasoning, machine learning, knowledge discovery, and visualization skills.
VISION:
To promote quality education with industry collaboration and to enable students with intellectual skills to succeed in globally competitive environment.
MISSION:
To educate the students with strong fundamentals in the areas of Artificial Intelligence and Data Science.
Provide multi-disciplinary research and innovation driven academic environment to meet the global demands.
Foster the spirit of lifelong learning in students through practical and social exposure beyond the classroom.
Programme Educational Objectives (PEO)
Program Educational Objectives describe the career and professional accomplishments in five years after graduation that the program is preparing graduates to achieve.
Graduates will have solid basics in Mathematics, Programming, Machine Learning, Artificial Intelligence and Data Science Fundamentals and Advancements to solve technical problems.
Graduates will have the capability to apply their acquired knowledge and skills to solve the issues in real world Artificial Intelligence and Data Science sectors and to develop feasible and viable systems.
Graduates will have the potential to participate in life-long learning through professional developments for societal needs with ethical values.
Programme Outcomes (POs)
Program Outcome describes the knowledge, skills and attitudes the students should have at the end of a four year engineering program.
Engineering Graduates will be able to:
Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the solution of complex engineering problems.
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.
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.
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.
Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling of complex engineering activities with an understanding of the limitations.
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.
Environment and Sustainability: Understand the impact of the professional engineering solutions to societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
Individual and team work: Function effectively as an individual and as a member or leader in diverse teams, and in multidisciplinary settings.
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.
Project management and finance: Demonstrate knowledge and understanding of the engineering 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.
Lifelong learning: Recognize the need for and have the preparation and ability to engage in independent and lifelong learning in the broadest context of technological change.
Programme Specific Outcomes (PSOs)
Program Specific Outcomes are statements that describe what the graduates of a specific engineering program should be able to do.
Ability to implement innovative, cost effective, energy efficient and eco-friendly integrated solutions for existing and new applications using Internet of Things.
Graduates will possess the additional skills in network security and IT infrastructure in Cyberspace
Develop, test and maintain software system for business and other applications that meet the automation needs of the society and industry
HOD Message
Mr. K LOKESH
HOD
As the Head of the Department, I feel privileged to be leading a team of committed, talented and experienced faculty members. Artificial Intelligence and Data Science is the most conspicuous technology that is instrumental in transforming the facet of industry and mankind. This course is specially designed to enable students to build intelligent machines, software, or applications with a cutting-edge combination of Machine Learning, Deep Learning, Analytics and Visualization technologies.
Our department aims to produce skilled professional in the domain of Artificial Intelligence and Data Science and enable them to excel professionally. It also provides state of the art laboratory facilities to the students to get better practical exposure and strong ties with industry, research organizations and the community at large.
Department also takes the initiative to improve the soft skills, analytical capabilities and verbal communication of the students so that they can face the competition in the corporate world confidently. The excellent infrastructure, experienced team of faculty dedicates to strengthen effective teaching learning process ensuring quality education.
Teaching Faculty – AI & DS Department
Mr. K. LOKESH
M.Tech.,(PhD), Professor & HoD
Mrs. G. DIVYA ZION
M.Tech.,(PhD), Associate Professor
Mr. ShivaKumar.E
M.Tech., Assistant Professor
Ms. R. THUSHARA BHARATHI
M.Tech., Assistant Professor
Mrs. R.K. CHANDANA MANI
M.Tech.,(Phd), Assistant Professor
Mrs. C. REDDI NEELIMA
M.Tech.,(Phd), Associate Professor
Mr. MAHESH KUMAR
M.TECH, ASSISTANT PROFESSOR
Mr. B. Rajesh
M.Tech.,, Assistant Professor
Non Teaching Faculty – AI & DS Department
Mr. P. Sathish
B.Com, Lab Assistant
Faculty Achievements
2021-2022
Sl.No.
Faculty Name
Achievement
Attachment
1
K. Lokesh
Published Book Chapter Titled: A Survey on Text-Based Topic Summarization Techniques (DOI: 10.4018/978-1-7998-9426-1.ch001)
2
K. Lokesh
Published Paper Titled: DEEP NEURO-FUZZY LOGIC TECHNIQUE FOR BRAIN MENINGIOMASA PREDICTION
3
K LOKESH
Participated & Presented a paper titled: AN ENHANCED SECURITY SCHEME FOR PROTECTING SENSITIVE DOCUMENTS IN A PUBLIC CLOUD ENVIRONMENT USING A DUAL ENCRYPTION TECHNIQUE
4
K LOKESH
Published paper on Title: Detection_of_Stomach_Cancer_Using_Deep_Neural_Network_in_Healthcare_Sector
2020-2021
Sl.No.
Faculty Name
Achievement
Attachment
1
G DIVYA ZION
paper published on A SURVEY ON FREQUENT PATTERN MINING IN UNCERTAIN BIG DATA ISSN: 0011-9342 | Year 2021 Issue: 7 | Pages: 3983-4013
2
K S RANJITH
Emerging Research in Data Engineering Systems and Computer Communications, pp 329–339, ISSN : 978-981-15-0134-0
2019-2020
Sl.No.
Faculty Name
Achievement
Attachment
1
G DIVYA ZION
published a book chapter on Comparative Analysis of Tools for Big Data Visualization and Challenges
2018-2019
Sl.No.
Faculty Name
Achievement
Attachment
1
SHIVAKUMAR E
published a paper in International Research Journal of Engineering and Technology
2017-2018
Sl.No.
Faculty Name
Achievement
Attachment
1
G DIVYA ZION
Int. J. Advanced Networking and Applications Volume: 09 Issue: 06 Pages: 3632-3639 (2018) ISSN: 0975-0290
2
G DIVYA ZION
HELIX journal VOL.7(5),2034-2040, 2017
3
K S RANJITH
International Journal of Advanced Science and Technology Vol.102 (2017), pp.49-60 http://dx.doi.org/10.14257/ijast.2017.102.05
2016-2017
Sl.No.
Faculty Name
Achievement
Attachment
1
G DIVYA ZION
(IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 7 (4) , 2016, 1857-1867
2
K S RANJITH
int J Comput Sci Inform Sec (IJCSIS), 2, 519-523.
3
G DIVYA ZION
Published a Paper in International Journal of Advanced Research in Computer and Communication Engineering VOL 1 Issue 7 september 2012, ISSN : 2278-1021
4
R.Thushara Bharathi
published a paper in International journal of Innovative technologies
5
R.Thushara Bharathi
published a paper in International Journal of Advanced Research in Computer and Communication Engineering
2015-2016
Sl.No.
Faculty Name
Achievement
Attachment
1
G DIVYA ZION
(IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 7 (4) , 2016, 1847-1856
2
G DIVYA ZION
(IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 7 (4) , 2016, 1836-1846
3
K S RANJITH
Global Journal of Computer Science and Technology: E Network, Web & Security Volume 15 Issue 3 Version 1.0 Year 2015 Online ISSN: 0975-4172 & Print ISSN: 0975-4350
2014-2015
Sl.No.
Faculty Name
Achievement
Attachment
1
G DIVYA ZION
published a paper on international journal of advanced research in computer and communication engineering VOL.4, Issue 8, August 2015, ISSN:2278-1021
2
K S RANJITH
International Journal of Information Technology Convergence and Services (IJITCS) Vol.4, No.4, August 2014
2013-2014
Sl.No.
Faculty Name
Achievement
Attachment
1
K S RANJITH
International Journal of Computer Science and Engineering (IJCSE) ISSN 2278-9960 Vol. 2, Issue 3, July 2013, 21-26
2
G DIVYA ZION
published a paper in International Journal of Scientific Engineering and Technology Research, Vol.03, Issue. 16 July-2014,pages:3401-3405, ISSN 2319-8885
2010-2011
Sl.No.
Faculty Name
Achievement
Attachment
1
K S RANJITH
pportunistic Muscle Consuming for the SWR in Multihop networks
Student Achievements
Alumni
GATE qualified students
Internships
Meritorious Scholarships
Faculty
2022-2023
Sl.No.
Author Name
Title of the Publication
Publisher
ISSN No.
Publication
1
K. LOKESH
A Survey on Text-Based Topic Summarization Techniques
IGI Gobal
ISBN13: 978179989426
Book Chapter
2021-2022
Sl.No.
Author Name
Title of the Publication
Publisher
ISSN No.
Publication
1
K S RANJITH
Driver Assistance by Object Detection During Nights using Deep Neural Networks
Patent (Computer Science)
202241041468
non-scopus
2
R. Thushara Bharathi
ENHANCING SMART GATEWAY RESOURCES FOR IOT CONSTRAINED NODES THROUGH VMS
ICICC-2022
4031813
Scopus
3
K. LOKESH
DEEP NEURO-FUZZY LOGIC TECHNIQUE FOR BRAIN MENINGIOMASA PREDICTION
Proceedings of the Seventh International Conference on Communication and Electronics Systems (ICCES 2022)
978-1-6654-9634-6
IEEE
4
K. LOKESH
AN ENHANCED SECURITY SCHEME FOR PROTECTING SENSITIVE DOCUMENTS IN A PUBLIC CLOUD ENVIRONMENT USING A DUAL ENCRYPTION TECHNIQUE
2022 8th International Conference on Smart Structures and Systems (ICSSS)
978-1-6654-9761-9
IEEE
5
K LOKESH
Detection of Stomach Cancer Using Deep Neural Network in Healthcare Sector
(ICACCCN) IEEE
ISBN: 978-1-6654-3811-7/21
IEEE
2020-2021
Sl.No.
Author Name
Title of the Publication
Publisher
ISSN No.
Publication
1
K S RANJITH
Privacy Preserving Data mining in Spatiotemporal Databases Based on Mining Negative Association Rules
Springer
978-981-15-0134-0
SCOPUS
2017-2018
Sl.No.
Author Name
Title of the Publication
Publisher
ISSN No.
Publication
1
K S RANJITH
Comparative Analysis of Association Rule Mining Algorithms for Distribution Data
International Journal of Advanced Science and Technology
2005-4238
SCOPUS
2016-2017
Sl.No.
Author Name
Title of the Publication
Publisher
ISSN No.
Publication
1
K S RANJITH
Improved Interoperability in Heterogeneous Nodes for Manets
International Journal of Applied Engineering Research
0979-4562
non-scopus
Student
2018-2019
Sl.No.
Author Name
Title of the Publication
Publisher
ISSN No.
Publication
1
SHIVAKUMAR E
A Study on Heart Attack Detection by Heartbeat Monitoring Using IoT
International Research Journal of Engineering and Technology
2395-0056
non-scopus
2016-2017
Sl.No.
Author Name
Title of the Publication
Publisher
ISSN No.
Publication
1
R. Thushara Bharathi
Identification of Dipoles in Climate Data
ijiTECH
2321-8665
non-scopus
2
R. Thushara Bharathi
A Survey on Identification of Dipoles in Climate Data
IJARCCE
2278-1021
non-scopus
Workshop
Academic Year 2022-2023
Sl.No.
Date
Activity Details
Attachment
1
24 Nov 2022 to 28 Nov 2022
A FIVE DAY WORKSHOP ON ARTIFICIAL INTELLIGENCE IN INDUSTRY
2
18 Apr 2023 to 20 Apr 2023
A three day Workshop on "Machine Learning & IoT"
Others
Academic Year 2022-2023
Sl.No.
Date
Activity Details
Attachment
1
19 Apr 2023 to 19 Apr 2023
A ONE DAY NATIONAL LEVEL TECHNICAL SYMPOSIUM RAIDS '23', MITS