Department of Artificial Intelligence and Data Science

About the Department

Vision and Mission

Prog. Edu Objectives & Outcomes

HOD Profile

Faculty List

Milestones

Facilities

Achievements

Professional Activities

Publications

Clubs

Value Added Course

Gallery

Question Bank

About the Department

The Department of Artificial Intelligence and Data science established in the year 2020, has been incessantly making advancement in teaching and Research & Development activities. The department has well trained and experienced faculty members specialized in the field of Artificial Intelligence and Data Science.

B.Tech. in Artificial Intelligence & Data Science (AI & DS) is a four year full time UG degree program with the skills to sensitize students to perform intelligent data analysis and imparting knowledge of advanced innovations like Artificial Intelligence, Data Science, Machine Learning, Deep Learning, Robotics and Natural Language Processing (NLP). The department aims to train students as leaders, researchers and entrepreneur’s in the field of AI & DS in world class infrastructure, curriculum and comprehensive hands on experience through industry connect programs. Industry Institute Collaboration are extensively carried out by providing guest lectures from industry experts, industrial visits, workshops, hands - on training sessions and etc. The department is emphasized on research, design and development of next generation cutting-edge technologies in the area of Artificial Intelligence and Data Analytics.

This curriculum aims to enhance the following key attributes among students:

  • The program encompasses emerging areas in the field of Data Science, Data Engineering and Advanced Analytics through application-oriented and student-centric learning.
  • The program fosters students to get expertise in critical skills such as Artificial Intelligence, Machine learning, Augmented and Virtual Reality, Product development, scripting languages and Mathematical modelling.
  • Acquire meaningful insights in the areas of natural language processing, text mining, robotics, reasoning and problem solving.
  • Create and design intelligent solutions to real time Business applications.
  • To develop useful tools which would benefit to the society in the field of Healthcare applications

Vision and Mission

VISION

To produce high quality creators and ethical engineers for innovative technology in the field of Artificial Intelligence and Data Science.

MISSION

  • M1: To develop the department as a center of Artificial Intelligence for significant breakthroughs in advancing the promise of human-machine systems that can address complex cognitive tasks.
  • M2: To impart quality and value-based education and contribute towards the innovation of computing Data Science for the translation of data into information to support and improve decision making.
  • M3: To produce ethical engineers and researchers by inculcate the values of humanity and courage in producing relevant solutions to address business and societal challenges.

Programme Educational Objectives(PEO)

  • PEO 1: To provide graduates with the proficiency to utilize the fundamental knowledge of Basic Sciences, mathematics and statistics to build systems that require management and analysis of large volume of data
  • PEO 2:To inculcate the students to focus on augmenting the knowledge to improve the performance for the AI era and also to serve the analytical and data-centric needs of a modern workforce.
  • PEO 3: To enable graduates to illustrate the core AI and Data Science technologies, applying them in ways that optimize human-machine partnerships and providing the tools and skills to understand their societal impact for product development.
  • PEO 4: To enrich the students with necessary technical skills to foster inter disciplinary research and development to move the community in an interesting direction in the field of AI and Data Science.
  • PEO 5: To enable graduates to think logically, pursue lifelong learning and collaborate with an ethical attitude to become an entrepreneur.

Programme Outcomes (PO)

  • PO1 (Engineering knowledge): Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
  • PO2 (Problem Analysis): Identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
  • PO3(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.
  • PO4 (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.
  • PO5(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..
  • PO6(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.
  • PO7 (Environment and sustainability): Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of need for sustainable development.
  • PO8 (Ethics): Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  • PO9 (Individual and team work): Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  • PO10(Communication):Communicate effectively on complex engineering activities with the engineering community and with society at large. Some of them are, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
  • PO11 (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
  • PO12 (Life-long 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 (PSO)

  • PSO 1: Graduates should be able to evolve AI based efficient domain specific processes for effective decision making in several domains such as business and governance domains.
  • PSO 2 : Graduates should be able to arrive at actionable Fore sight, Insight, hind sight from data for solving business and engineering problems
  • PSO 3 : Graduates should be able to create, select and apply the theoretical knowledge of AI and Data Analytics along with practical industrial tools and techniques to manage and solve wicked societal problems.

HOD Profile

Dr. S. MALATHI

Professor & Head Artificial Intelligence and Data Science

Dr.S.Malathi, Professor, specialized in the area of Artificial Intelligence, Machine Learning, Image Processing, Computer Vision, Internet of Things and Software Engineering. Bachelor of Engineering in Coimbatore Institute of Technology, Bhararthiyar University, Master’s Degree and Ph.D from Sathyabama Deemed University, Chennai.

Research Credentials


https://www.scopus.com/authid/detail.uri?authorId=57195331995
https://scholar.google.com/citations?user=D5KKfTgAAAAJ

Academic Excellence

• Doctorate degree holder from Sathyabama University, Chennai (2013) in the field of  Software Engineering. Research program was oriented towards developing an integrated approach, “FUZANN”, for minimizing the effort and reduce the development cost of software projects. 
• Masters Degree in Computer Science and Engineering from Sathyabama University, Year 2004.
• Bachelors Degree in Engineering from Coimbatore Institute of Technology, Bharathiyar University, Coimbatore, Year 1995.

Professional Experience

Twenty Seven years of profound experience as engineering faculty in various capacities including 15 years of research experience.

Awards Received

•Received A.P.J.Abdul Kalam Excellence Award,2021 from Shikshak kalian Foundation in association with AICTE.
• Received Best Ph.D Thesis Award from Computer Society of India(CSI), 2013
• Received Best International Paper Presenter Award from Computer Society of India(CSI), 2012

Projects Awarded under the Guidance

1. Mail Notification for missed calls and SMS in Android Phones- Received the first place in TECHKNOW’14 conducted by Anna University under All India Manufacturers Organization (AIMO), 2014.
2. Accident Detection and Rescue System-Received National Recognition and the Best Project Award from Dr. A.P.J Abdul Kalam, late Former President of India,

Copyrights & Patents

1. Copyrights registered for software “Automatic Volume Level Adapter for Portable Device", 2019(Diary No. 12378/2017-CO/SW)
2. Copyrights registered under Literary/Dramatic for “Innovation to Identify an Emergency Call Algorithm", 2019. (Diary No.: 483/2019-CO/L)
3. Patent-Holonomic Drive Conveyor System and its method using IoT- (Patent no: 2020104116), by Australian Government, Feb. 2020.

Research/ Scheme Grants

• Received grant from AICTE in the year 2022 for establishing Idea Development, Evaluation and Application (IDEA LAB)
• Received grant from Hyundai WIA India Private Ltd, Chennai for the project “Detection of faulty subpart assembly in Automobile Industry using AI.”
• Received conference fund from AICTE 2022.
• Received International grant from Global Challenges Research Fund (GCRF), Birmingham City University, UK(2020 – 21) for the project “Building Capacity to tackle design engg and manufacturing challenges in Punjab (India)”
• Research on Detection of Fuel Injector Nozzle Hole and Diameter through Deep Learning Technique (Under Progress) for Delphi TVS Technologies, Chennai.

Books Published

1.  Dr.M.Helda Mercy, Dr.S.Malathi, Mr.M.Dilli Babu "Problem Solving and Python Programming”, Global Publications, (ISBN:978-81-9316-256-9 ), Chennai, 2021.
2.  Dr.S.Malathi, Dr.M.Helda Mercy,, "Problem Solving and Programming in C", Global Publication House, Chennai, 2021.
3.  Hemanth, D.J. V.D.Ambeth Kumar, S.Malathi , "Emerging Current   Trends in Computing and Expert Technology", Advances in Parallel Computing,IOS Press, ISBN:978-1-64368-103-0, 2020.
4.  Ambeth Kumar, V.D., Malathi, S.,Balas, V.E.,Favorskaya, M.,Perumal, T.”Smart Intelligent Computing and Communication Technology”, Advances in Parallel Computing, IOS Press, 2021.(ISBN:  978-1-64368-203-7)
5.  Dr.V.D.Ambeth Kumar, Dr.S.Malathi, Dr.D.Karunkuzhali, Prof.D.Elangovan, "Proceedings of the International Conference for Phoenixes on Emerging Current Trends in Engineering and Management", ISBN : 978-94-6252-492-7, Part of series: AER, ISSN : 2352-5401, Volume: 142, 2018.
6.  S. Malathi , K Kiruthika , C Jackulin, " Compiler Design", Ane Books, ISBN: 9385462598, 2019.
7.  Hemanth, D.J. V.D.Ambeth Kumar, S.Malathi, Castillo, O., Patrut, B " Emerging Trends in Computing and Expert Technology" Lecture Notes on Data Engineering and Communications Technologies, ISBN: 978-3-030-32150-5. 2019. 8.  Dr.S.Malathi, "Software Quality Management", Lakshmi Publications, Chennai, 2018.

Faculty List

S.No. Name of the Faculty Designation
1. Dr. S.MALATHI PROF.& HOD
2. Dr. A.JOSHI PROFESSOR
3. Dr. K.JAYASHREE PROFESSOR
4. Dr. T.KALAICHELVI PROFESSOR
5. Dr. S.CHAKARAVARTHI PROFESSOR
6. Dr. W.GRACY THERESA PROFESSOR
7. Dr. M.ANBARASAN PROFESSOR
8. Dr. P.KAVITHA ASSOC. PROFESSOR
9. Dr. A.N.ARULARASAN ASSOC. PROFESSOR
10. Dr. C.GNANAPRAKASAM ASSOC. PROFESSOR
11. Dr. N.SIVAKUMAR ASSOC. PROFESSOR
12. Mrs. S.VIMALA ASSOC. PROFESSOR
13. Dr. S.HEMAMALINI ASSOC. PROFESSOR
14. Dr. M.JALASRI ASSOC. PROFESSOR
15. Dr. P.RAJESWARI ASSOC. PROFESSOR
16. Dr. M.S MAHARAJAN ASSOC. PROFESSOR
17. Dr. C. BHARANIDHARAN ASSOC. PROFESSOR
18. Dr. B.CHITRA ASST PROFESSOR
19. Mr. C.VIVEK ASST PROFESSOR
20. Mr. S. KAVIARASAN ASST PROFESSOR
21. Mr. M.VETRI SELVAN ASST PROFESSOR
22. Mrs. R.PRIYA ASST PROFESSOR
23. Mrs. S.SRINIDHI ASST PROFESSOR
24. Mrs. S.SWATHI ASST PROFESSOR
25. Mrs. C.GOMATHI ASST PROFESSOR
26. Mrs. J.ANITHA ASST PROFESSOR
27. Mrs. BALA ABIRAMI.B ASST PROFESSOR
28. Mrs. K.SARANYA ASST PROFESSOR
29. Mrs. D.AISHWARYA ASST PROFESSOR
30. Mrs. R.VIDHYA MUTHULAKSHMI ASST PROFESSOR
31. Ms. A.LOGAPRIYA ASST PROFESSOR
32. Ms. R.S.ANURADHA ASST PROFESSOR
33. Mr. M.VENKATESAN ASST PROFESSOR
34. Ms. P.ARCHANA ASST PROFESSOR
35. Mrs. JAYALAKSHMI.S ASST PROFESSOR
36. Mr. KALIAPPAN.P ASST PROFESSOR
37. Mrs. JAYALAKSHMI K ASST PROFESSOR
38. Mrs. DEVI E B ASST PROFESSOR
39. Mrs. DHIVYA E ASST PROFESSOR
40. Mrs. DHIVYA S ASST PROFESSOR
41. Mrs. KAVITHA SELVARAJ T ASST PROFESSOR
42. Mr. PALANIRAJ A ASST PROFESSOR
43. Mrs. SUGUNA S ASST PROFESSOR
44. Mr. YUVARAJU R ASST PROFESSOR
45. Mrs. ANITHA M ASST PROFESSOR
46. Mr. SUDHAKAR R P ASST PROFESSOR
47. Mr. BALAJI P ASST PROFESSOR
48. Mrs. LAKSHMI R ASST PROFESSOR
49. Mrs. RAMYA S ASST PROFESSOR
50. Mrs. PREETHI SHIRLEYJ T ASST PROFESSOR
51. Mrs. MALVIKA K ASST PROFESSOR
52. Mr.SAI SANJAY G ASST PROFESSOR
53. Mrs. SHARU PRIYA E ASST PROFESSOR
54. Mr. THANIGAIVEL ASST PROFESSOR

First Year Faculty List

S.No. Name of the Faculty Designation
1 Mrs. B. NARMADA  ASST PROFESSOR
2 Mrs. SELVA BANU PRIYA  ASST PROFESSOR
3 Mrs. V.REKHA ASST PROFESSOR
4 Mrs. A. BABISHA ASST PROFESSOR
5 Mrs. C M HILDA JERLIN  ASST PROFESSOR
6 Ms. PAVITHRA.K ASST PROFESSOR
7 Ms. K.CHARULATHA ASST PROFESSOR
8 Ms. P.MADHUMITHA ASST PROFESSOR
9 Ms. V.K. RAMYA BHARATHI ASST PROFESSOR
10 Ms. P.DIVYA BHARATHI ASST PROFESSOR

Milestones

Facilities

S.NO. LAB NAME/ HALL NAME SYSTEM CONFIGURATION PHOTO
1.

R&D Lab

1.Lenovo B5180, S520, Thin centre S510, workstation P340.
2.Harddisk-1TB (total nos-16)
3.Processor: Intel core 17-10700 7th Gen processor, 15-6200U 6th Gen processor, H81 chipset intel 17-6700 processor.
Hard disk-500 GB (Total nos-3),
4. Hp Printer pro 400, laser jet 2600N (Total nos-2)

2.

AR/VR Lab
(CC – 20)

1.Acer i9 Desktop Computer
Version S2680G with Acer 32” LED Monitor, 32 GB RAM and I TB Hard Disk
2. Acer Intel core i9-12th Gen Processor
3.  Meta Quest 2 VR Head Set
4. Microsoft Holo Lens 2
5. INSTA 360-degree Camera
6.HTC Steam VR Base Station

 

3.

Deep Learning Lab
(CC – 19)

1.Acer i9 Desktop Computer
Version S2680G, 16 GB RAM,         
Intel Core i9-12th Gen Processor
GPU - 4070 TI 12 GB Graphics Card and 1 TB Hard Disk
(Total Nos: 35)
2. HP LASERJET 208 DW Printer (Total Nos: 2)

 

 

4.

AI with Robotics Lab
(CC – 18)

1.Intel core i7-12th Gen Processor, 16 GB RAM, 512 GB Hard Disk. (Total Nos: 66)
2. HP LASERJET 208DW Printer (Total Nos: 3)

 

 

5.

Artificial Intelligence Lab
(CC – 17)

1.Lenovo, Intel core i-7, 10/11/12 Generation, 16 GB RAM, 1 TB Hard Disk.
(Total Nos: 66)
2.HP LASERJET M202DW Printer (Total Nos: 2)

    6.

Data Science Lab
(CC – 15)

1. Lenovo M70T 11EVS05500 Desktop, Intel core i7-10th Gen Processor, 16 GB RAM, 1 TB Hard Disk (Total Nos :66)
2. HP LASERJET M202DW Printer (Total Nos: 2)
3. HP COLOR LASERJET Pro M154nw (Total Nos: 1)

7.

Object Oriented Programming Lab
(CC – 16)

1.Lenovo, Intel (R) Core (TM) i5-4590s
8/16 GB RAM, 256 GB Hard Disk
(Total Nos :62)
2. HP LaserJet Pro 400 m401d (Total Nos : 1)

     8.

Tutorial Hall

Hall is equipped with 45 armchair to provide individual and unique learning experience to students

    9.

Mentoring Hall

Hall is equipped with 30 armchair to encourage and empower in personal development of students.

    10.

Department Library

 

The department library consists of 421 Volumes of Books that provides staffs and students to avail the facility of lending Books. In addition, EBooks and E-Journals are also available.

    11.

WIFI Enabled

The Department is a Wifi enabled department, with a dedicated 1000 MBPS broadband connectivity    for each individual system together with printers. This facility allowed the students to access uninterrupted Internet connectivity anywhere within the department. All the IT resources and content should be available to the faculty and students from their desk as well as anywhere-anytime basis over the department.

12.

Sick Room  for Boys

Comprises of 5 beds with Cot for boys to take rest in case of medical illness

13.

Sick room for Girls

Comprises of 5 beds with Cot for girls to take rest in case of medical illness

FACULTY PUBLICATIONS
JOURNAL AND CONFERENCE FOR THE YEAR 2022-2023

S.No. Name of the Faculty TITLE OF PAPER JOURNAL/ CONFERENCE NAME VOLUME NUMBER ,PAGE NUMBER INDEX IN SCI/ SCOPUS LINK

1

S. MALATHI

A Mathematical Queuing Model Analysis Using Secure Data Authentication Framework for Modern Healthcare Applications

Journal of Sensors

2022,
Issue: Article ID 8397635,
PP. 1–15

SCIE

https://www.hindawi.com/journals/js/2022/8397635/

Relevance Mapping based CNN model with OSR-FCA Technique for Multi-label DR Classification

Fusion: Practice and Applications

Volume 11,  Issue 2, PP 1-21

SCOPUS

https://www.americaspg.com/journals/show/3

2

K.JAYASHREE

A Novel Grasshopper Optimization-based Particle Swarm Algorithm for Effective Spectrum Sensing in Cognitive Radio Networks

KSII
Transactions on Internet and Information Systems

Volume. 17, No. 2 PP:1-23

 

 

 

 

SCIE

https://itiis.org/digital-library/38399

Automatic Classification of Brain Tumors in MRI Images by Optimised Technique

Journal of Environmental Protection and Ecology  

Volume 24 Issue 2 PP.693-700

SCIE

https://scibulcom.net/en/journal/1311-5065/articles?search=Automatic%20Classification%20of%20Brain%20Tumors%20in%20MRI%20Images%20by%20Optimised%20Technique

Hyphema Eye Disease Prediction with Deep Learning

International Conference on Computer, Power and Communications (ICCPC)

PP 215-218

SCOPUS

https://ieeexplore.ieee.org/document/10072218

3

S. CHAKARVARTHY

A New Fuzzy Lexicon Expansion and Sentiment aware recommendation system in Ecommerce

International Journal of Advanced Computer Science and Applications,

Volume 14,No 6,PP 1-8

SCOPUS

https://thesai.org/Downloads/Volume14No6/Paper_29-A_New_Fuzzy_Lexicon_Expansion_and_Sentiment.pdf

4

P. KAVITHA

A Novel Approach for Hybrid Image Segmentation GCPSO: FCM Techniques for MRI Brain Tumor Identification and Classification

 

Computational Intelligence and Neuroscience

Volume 2022 ,  Article ID 7453935, PP 1-10

SCOPUS

https://www.hindawi.com/journals/cin/2022/7453935/

5

S.VIMALA

Implementation of IoT to determine the level of bicarbonate in soil

Implementation of IoT to determine the level of bicarbonate in soil

12(Special Issue 4),5862-5876, PP.1-15

SCOPUS

https://www.eurchembull.com/uploads/paper/55a21f502f17415b4cc77d91b207228b.pdf

 

Cricket Analytics: Using Statistics to Determine the Best Team in the Season

European Chemical Bulletin

12(Special Issue 4), 6972-6978, PP 1-7

SCOPUS

https://www.eurchembull.com/uploads/paper/b82f5a90584177096d42e8d77796330e.pdf

6

C.VIVEK

Brain Tumor Classification on Biochemical Sensor with Artificial Intelligence

Brain Tumour Classification on Biochemical Sensor with Artificial Intelligence

12(Special Issue 4),5889-5899,PP 1-11

SCOPUS

https://www.eurchembull.com/uploads/paper/0f55c586aceedb4e5ae1c37f4b34b568.pdf

The Utilization of Machine Learning for the Identification and Computation of Calories

The Utilization of Machine Learning for the Identification and Computation of Calories

12(Special Issue 4), 13677-13687, PP 1-11

SCOPUS

https://www.eurchembull.com/uploads/paper/4d0ce76f94efc8f3fb94daf38a9ddfd0.pdf

7

V. SATHYA

A novel predicting students’ performance approach to competency & hidden risk factor identifier using a various machine learning classifiers

IOS Press

Volume 44, Issue 6,PP. 9565-9579

SCIE

https://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs224586

A Comprehensive Review and Study on Tuning the performance of database scalability using Hadoop Map Reduce and SPARK big data Analytics

Journal of Intelligent & Fuzzy System:
Application in Engineering and

Volume 44 Issue 33 PP.1-18

SCIE

https://dl.acm.org/doi/abs/10.3233/JIFS-223295

8

T.SELVABANU PRIYA

On rho-lambda continuity using b-open sets

Neuro Quantology

Volume  20, Issue16

SCOPUS

https://www.proquest.com/openview/5c661e942ffa90d5f2d5faa748426521/1?pq-origsite=gscholar&cbl=2035897

On Contra Approach to Multi Continuity

Advanced Engineering Science

Volume 54, No 2

SCOPUS

https://advancedengineeringscience.com/article/580.html

Energy-efficient intrusion detection system for secure acoustic communication in under water sensor networks

KSII Transactions on Internet and Information Systems

Volume 17, PP 1-17

SCIE

https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART002975480

9

R. PRIYA

Toilet Odour Detection Using Fuzzy Logic Technique

Proceedings of the 2022 3rd International Conference on Intelligent Computing, Instrumentation and Control Technologies: Computational Intelligence for Smart Systems, ICICICT 2022,

PP 917-923

SCOPUS

https://ieeexplore.ieee.org/document/9917797

10

VETRI PRIYA

Determination of Gout Disease using Machine Learning

International Conference on Computational Science and Technology (ICCST)

PP 11-15

SCOPUS

https://ieeexplore.ieee.org/document/10040341

An Artificial Intelligence-Based Technique to Optimize Hybrid Vehicle Using Renewable Energy Sources

ICBCC 2022: Big Data and Cloud Computing 

Vol 1021 pp-81-92

SCOPUS

https://link.springer.com/chapter/10.1007/978-981-99-1051-9_6

11

D.AISHWARYA

 

Framework for Implementation of Smart Driver Assistance System Using Augmented Reality

ICBCC 2022: Big Data and Cloud Computing

Volume 1021, PP 231-248

SCOPUS

https://link.springer.com/chapter/10.1007/978-981-99-1051-9_15

12

HARSHINI

Implementation and Comparative Analysis of Various Energy-Efficient Clustering Schemes in AODV


International Conference on Big data and Cloud Computing

Vol 1021 pp297-317

SCOPUS

https://link.springer.com/chapter/10.1007/978-981-99-1051-9_19

FACULTY PUBLICATIONS
JOURNAL AND CONFERENCE FOR THE YEAR 2021-2022

S.No. Name TITLE OF PAPER JOURNAL/ CONFERENCE NAME VOLUME NUMBER ,PAGE NUMBER INDEX IN SCI/ SCOPUS LINK

1

DR.                S. MALATHI

Modified Global Flower Pollination Algorithm-based image fusion for medical diagnosis using computed tomography and magnetic resonance imaging

 

International Journal of Imaging Systems and Technology (IMA)

Volume 31, Issue 1, PP 223 – 235

SCIE

https://onlinelibrary.wiley.com/doi/abs/10.1002/ima.22455

A mathematical model for cost budget optimization in the early stage of house construction budget analysis


Journal of Interdisciplinary Mathematics

Volume 25, Issue 3, PP 839 - 849

SCIE

https://www.tandfonline.com/doi/abs/10.1080/09720502.2021.2017596

A Novel Distributed Matching Global and Local Fuzzy Clustering (DMGLFC) for 3D Brain Image Segmentation for Tumour Detection


IETE Journal of Research

Volume 68, Issue 4, PP 2363 - 2375

SCIE

https://www.tandfonline.com/doi/abs/10.1080/03772063.2022.2027284?journalCode=tijr20

Modelling Metaheuristic Optimization with Deep Learning Software Bug Prediction Model

Intelligent Automation & Soft Computing

Volume 34, Issue 3, PP 1587 - 1601

SCIE

https://www.techscience.com/iasc/v34n3/47918/pdf

A Survey on the Usage of Pattern Recognition and Image Analysis Methods for the Lifestyle Improvement on Low Vision and Visually Impaired People

Pattern Recognition and Image Analysis

Volume 31, Issue 1, PP 24 - 34

SCIE

https://link.springer.com/article/10.1134/S105466182101003X

Model for refactoring a software using feature oriented dependency (FOD)

Advances in Parallel Computing Technologies and Applications

Volume 39, PP 315 - 319

SCIE

https://www.researchgate.net/publication/356079054_Model_for_Refactoring_a_Software_Using_Feature_Oriented_Dependency_FOD

Survey on brain tumor detection using machine learning and deep learning

2021 International Conference on Computer Communication and Informatics (ICCCI)

Article number 9457019

SCOPUS

https://ieeexplore.ieee.org/abstract/document/9457019

Deep Learning based Face Mask Recognition System-A Review

6th International Conference on Inventive Computation Technologies (ICICT)

Article number 9358515 PP 1236 - 1242

SCOPUS

https://ieeexplore.ieee.org/document/9358515

Deep learning for multi grade brain tumor classification in smart healthcare systems: A prospective survey


Advances in Parallel Computing

Volume 38, Pages 321 - 325

SCOPUS

https://ebooks.iospress.nl/doi/10.3233/APC210059

Efficient face mask recognition system by using deep learning methodology

Smart Intelligent Computing and Communication Technology

Volume 38, PP 256 - 260

SCOPUS

https://www.researchgate.net/publication/355347845_Efficient_Face_Mask_Recognition_System_by_Using_Deep_Learning_Methodology

Story-telling for children in image processing using deep learning - A survey review

Smart Intelligent Computing and Communication Technology

Volume 38, PP  229 - 233

SCOPUS

https://www.researchgate.net/publication/355348075_Story-Telling_for_Children_in_Image_Processing_Using_Deep_Learning_-_A_Survey_Review

 

 

Effective survey on handwriting character recognition

Computational Methods and Data Engineering

Volume 1257, Pages 115 - 1312021

SCIE & SCOPUS

https://link.springer.com/chapter/10.1007/978-981-15-7907-3_9#:~:text=Deep%20neural%20networks%20are%20efficient,and%20they%20display%20the%20result.

2

MR.C.VIVEK

Enhancement of Internet of Things to Connecting People and Appliances using IOE

ECS Transactions

Volume 107, Issue 1, PP 16351 - 16358

SCOPUS

https://iopscience.iop.org/article/10.1149/10701.16351ecst/pdf#:~:text=This%20article%20describes%20the%20IOE,identification%20when%20the%20person%20enters

INTELLECTUAL PROPERTY RIGHTS

S.No. Application Name Title Copyrights/ Patent Date of Filing / Roc Date Status Application No. or Registration No

1

P. KAVITHA,
S. MALATHI,
B. ANNI PRINCY,
K. JAYASHREE,
T. TAMILSELVI,
C. VIVEK

Kdd On Brain Images To Predict Tumor By Rgb Color, Phog And Jpeg Coefficient Filters

Patent

202241045860 A & 19.08.2022

Published

11/08/2022

2

P. KAVITHA,
G.AYYAPAN

Meta Learning On Brain Images To Identify Tumor By Rgb  Color, Phog And Jpeg Coefficient Filters Through Deviation Measurements

Patent

202241042927 A

Published

26/07/2022

3

Dr.Ramesh, Ms.G.Deepa,
Mr.T.Selva Kumar, 
Mr.N.Selvaganesh,
Dr.S.M.Prabin, Ms.N.Indumathi,
Ms.L.Dharshana Deepthi, 
Dr.S.Chakaravarth

Develop A Trusted Blockchain Auction Platform With Preferred Pricing Recommendations Using Machine Learning

Patent

202341008631

Filed

10.02.2023

4.

PATENT/COPYRIGHTS    2022-2023
Mr.C.Vivek

An Animated Character That uses Artificial Intelligence to represent emotions during online conversations without using EMOJIS or EMOTIC

Copyright

13.7.2023

Granted

SW-16857/2023

Book Publication

Fundamentals of Data Science
(2023)

AUTHORS:
Mrs.S.Vimala
Mr.C.VIvek
Publisher:
Scientific International Publishing House
ISBN print:
978-93-5757-387-0

Smart Intelligent Computing and Communication Technology
(MARCH 2021)

AUTHORS:
Dr.S. Malathi
ISBN print:
978-1-64368-202-0
ISBN online:
978-1-64368-203-7

Artificial Intelligence and Expert System
(September 2022)

AUTHORS:
Dr.S. Malathi
Dr.P.Kavitha
Dr.A.Hemlathadhevi
Dr.D.Sudha
PUBLISHER:
MAGNUS PUBLICATIONS
ISBN print:

978-81-957774-1-9

Information Security
(2009)

AUTHORS:
Dr.S. Malathi
PUBLISHER:
Lakshmi Publication Chennai

Problem Solving and Python Programming
(2017)

Authors:
Dr.S.Malathi
Dr.M.Helda Mercy
Mr.M.Dilli Babu
ISBN:
978-81-9316-256-9
Publisher:
Global Publications, Chennai, India.

Software Quality management
(2018)

Authors:
Prof. Dr.S.Malathi
Publisher:
Lakshmi Publications, Chennai, India.

Programming in C
(2018)

Authors:
Dr.M.Helda Mercy,
Dr.s.Malathi
Publisher:
Global Publication House, Chennai,India.

   

1) Artificial Intelligence Club

The AI Club aims to provide students with the tools they need to become informed entrants into the field of Artificial Intelligence (AI).

Vision

To achieve excellent standards of quality education by using the latest tools, nurturing collaborative culture and disseminating customer orientated innovations to relevant areas of academia and industry towards serving the greatest cause of society.

Mission

• To develop professionals who are skilled in the area of artificial intelligence
• Our effort is to apply new advancements in high performance computing hardware and software

Objective

• To work in teams or on individual projects to traverse fundamental areas of AI and broaden their skills and knowledge.
• To network with experts across the world.
• To cultivate an interest among the members of AI club to elucidate some of the seemingly complicated concepts.

Faculty Co-ordinator: DR. S.CHAKRAVATHY

Student
Co-ordinator

CHAIR

VASANTHAKUMAR M

IV Year

VICE-CHAIR

DEEPTA C S

III Year

SECRETARY

BHAVITHRA S K

IV Year

JOINT SECRETARIES

YOKESH MUTHU K

III Year

MANIKANDAA C S

III Year

AI Club Activities

S.No. Activities Topics Date Resource Person Target Students

1.

Seminar

 

Applications of
Artificial Intelligence

 

10.08.2023

 

Ms.J. Anitha,
Panimalar Engineering College

 

75

2.

Quiz

 

Artificial Intelligence

 

31.07.2023

 

Dr.S.Chakaravarthi,
Panimalar Engineering College

 

84

3.

Seminar

 

Image processing basic tools and kits

 

27.07.2023

 

Dr.N.Sivakumar,
Panimalar Engineering College

 

89

4.

Technical Talk

Orientation Programme

16.03.2022

Mrs.S. Subhashini,
Professor,  Valliyammai Engg College

60

5.

Guest Lecture

Image Processing Techniques

25.03.2022

Mr. M.Dinesh,
Professor,  Sai Ram Engg College

60

6.

Workshop

MATLAB and its Application

08.04.2022

Mr. A . Prabhakaran,
Team Lead,  Iglobe Solutions Pvt Ltd

50

7.

Seminar

Data Mining And Warehousing

17.04.2022

Mr. S Stalin,
Business Head,  Mphasis Pvt Ltd

50

8.

Guest Lecture

Internet of Things:
Trends and applications for Home Automation

13.05.2022

Mr. S. Pradhap Reddy,
Business Head,  Green Tree Technologies

40

9.

Game

Logic Play

26.05.2021

Mr.M. Kishore Kumar,  SRM Institute of Science and Technology

60

Guest Lecture on Image Processing Techniques on 25.3.23 by Mr. M.Dinesh, Professor, Sai Ram Engg College
Seminar on Image Processing on 27.07.2023 by Dr.N.Sivakumar, Panimalar Engineering College
Orientation Program on 16.3.22 by Mrs.S. Subhashini, Professor, Valliyammai Engg College
Quiz competition on topic Artificial Intelligence on 31.07.2023 conducted by Dr.S.Chakaravarthi
Seminar on Applications of Artificial Intelligence on 10.08.2023 by Mrs.J.Anitha , Panimalar Engineering College
Guest Lecture on Image Processing Techniques on 25.3.23 by Mr. M.Dinesh, Professor, Sai Ram Engg College
Guest lecture on IoT on 13.5.22 by Mr. S. Pradhap Reddy, Green Tree Technologies Business Head
Seminar on Data Mining and Data Warehousing on 17.4.22 by Mr. S Stalin, Business Head, Mphasis Pvt Ltd
One day Workshop on Matlab and Its application by Mr. A . Prabhakaran, Team Lead Iglobe Solutions Pvt Ltd
Game on Logic Play on 25.11.21 by Mr. M. Kishore Kumar, SRM Institute of Science and Technology

DATA SCIENCE CLUB

The significance of the emerging importance of data sciences is unexplainable. Data sciences have seeped into every field of technical endeavor.

Vision

The vision is to significantly expand the capacity of the students to implement data science techniques, learn computational tools, advanced programming and develop college-industry collaborations.

Mission

The mission of the data science club is to enable high quality data science education, enhance employability, and industrial exposure.

Objective

• To work in teams or on individual projects to traverse fundamental areas of AI and broaden their skills and knowledge.
• To network with experts across the world.
• To cultivate an interest among the members of AI club to elucidate some of the seemingly complicated concepts.

Faculty Co-ordinator :Prof. S. SRINIDHI

Student Co-ordinator

CHAIR

R.S.KEERTHIVASAN

IV Year

VICE-CHAIR

V.ANUSH KUMAR

III Year

SECRETARY

S.MOHAMMED SAJEER

IV Year

MOU signed with Data Science Club

The Data Science club has Signed MoU with the Imarticus Learning, Chennai. Imarticus Learning vision is to prepare the global community with the best educational programs for the new-age market.

Data Science Club Activities

S.No. Activities Topics Date Resource Person Target Students

1.

Coding activity

Data Visualization

26.07.2023

Mrs.S.Srinidhi,
Assistant Professor ,
Department of AI & DS

60

2.

Seminar

Data Visualization and exploration

24.07.2023

Sowmya Surapaneni,
Haritha M
[U.G Scholars]

60

3.

Technical talk

Orientation programme

18.03.2022

Mrs.A.Rama Devi,
Developer Lead,
Global Soft Technologies

40

4.

Guest Lecture

Data Mining Techniques

28.03.2022

Dr.K.Sridevi,
Professor,
Veltech Hightec Engg College

50

5.

One Day Workshop

Learning, Modeling and Interference with data

04.04.2022

Dr.K.Mercy,
Professor,
Rajalakshmi Engineering college

60

6.

Seminar

Data science process and principles

19.05.2022

Mrs.S.Priya,
Associate Professor,
Hindustan University

50

7.

Guest Lecture

Visualization, summarization and analytics

11.05.2022

Dr.M.Leela Devi,
Professor,
Sri Sairam Engineering College

60

8.

One Day Workshop

Acquisition, storage and retrieval for large-scale data science

23.05.2021

Mrs.Janaki,
Associate Professor,
Saveetha Engineering College

60

Orientation program on 18.3.22, by A Rama Devi , Global Soft Technologies
Guest Lecturer on Data Mining Technologies on 28.3.22 by Dr K Dr.K.Sridevi, Veltech Hightech Engg College
Workshop on Learning, Modelling and Interference with data on 4.4.22 by Dr.K.Mercy, Professor
Seminar on Data Science Process and Principles by Mrs S Priya, Hindustan University
Guest Lecturer on Visualization, Summarization and analytics on 11.5.22 by Dr Leela , Sri Sai Ram College Rajalakshmi Engineering college
Workshop on Acquisition, storage and retrieval for large-scale data science on 23.5.21 by Mrs Janaki, Saveetha Engg College

Value Added Course

Our department integrates value added course with curriculum to facilitate the students to enhance their standards beyond the level of curriculum, to build their own employability skill, to bridge the skill gap and to make the students industry ready student.

"Build your Metaverse" with Munjal Birmingham City University

2022 -2023

S.No. Course Name Staff Co-ordinator Year of Student

1.

Build your Metaverse

Dr. C.Bharanidharan

Third Year

2023 -2024

S.No. Course Name Staff Co-ordinator Year of Student

1.

Build your Metaverse

Dr. C.Bharanidharan

Third Year

2.

R Programming

Mrs.S.Vimala

Third Year

3.

Communication Skills and Verbal Skills

Mr Amos

Second Year

4.

Web designing and Adobe Flash

Dr.M.S.Maharajan

Second Year

5.

Basics of Coral Draw, Adobe Photoshop & Canva

Dr.P.Kavitha & Dr. C.Bharanidharan

Second Year

Question Bank - ACADEMIC YEAR 2024-25 ODD SEMESTER

SNO YEAR GOOGLE DRIVE LINK

II / III

23MA1304

Mathematical Foundations for Artificial Intelligence

https://sites.google.com/panimalar.ac.in/maths/home

23AD1301

Internals of Computer Systems

https://sites.google.com/panimalar.ac.in/23ad1301/home

23AD1302

Artificial Intelligence and Expert Systems

https://sites.google.com/panimalar.ac.in/aies/home

23AD1303

Object Oriented Programming Paradigm

https://sites.google.com/panimalar.ac.in/oopp/home

23CS1303

Database Management Systems

https://sites.google.com/view/dbms-notes2024/home

III / V

21AD1501

Formal Language and Automata Theory

https://sites.google.com/panimalar.ac.in/kies/home

21AD1502

Data Communication & Network Security

https://sites.google.com/panimalar.ac.in/dcns/home

21AD1911

Data Warehousing and Data Mining

https://sites.google.com/view/29ad1911-dwm/home

21AD1503

Data Exploration and Visualization

https://sites.google.com/panimalar.ac.in/dev/home

21AD1504

Data Analytics

https://sites.google.com/view/21ad1504?usp=sharing

21AD1505

Knowledge Engineering and Intelligent Systems

https://sites.google.com/d/1-M1eZ7Rb6nxwQc5p0Uqh08LyAthehdsX/p/1m3x1O4VF6nRg6zt1UxtHlnkeDF3-yqrv/edit

IV / VII

21AD1701

Business Analytics

https://sites.google.com/panimalar.ac.in/business-analtyics/home

21AD1702

Computer Vision

https://sites.google.com/view/21ad1702computervision/home

21AD1703

AI and Robotics (Lab Integrated)

https://sites.google.com/panimalar.ac.in/ai-robotics/home

21IT1904

Software Testing and Automation

https://sites.google.com/view/software-testing-and-auto/home/question-bank

21AD1909

Web & Social Media Analytics

https://sites.google.com/panimalar.ac.in/web/home

For Admissions

Bangalore Trunk Road, Varadharajapuram, Poonamallee, Chennai – 600 123.

+91-90438 91272 / 90438 90983

+044 -26490404 / 0505 / 0717

info@panimalar.ac.in