DEPARTMENT OF COMPUTER APPLICATIONS

Dr. S.Pakkir Mohideen

Personal Information

Employee ID:1994008
Designation:Professor
Nature of Employment:Regular
Date of Joining:24.10.1994
Date of Birth:18.07.1966
Education Qualification:M.Sc., M.Phil.,M.Ed., MCA., M.E., Ph.D
Contact No.:9444780125
Email ID:pakirmoitheen@crescent.education

Educational Qualification

ProgrammeSpecializationYear of PassingInstitution / University
Ph.D.CSE2017Anna University
P.GM.E(CSE)2007Anna University
MCA2000Madurai Kamaraj University
M.Ed1992Annamalai University
M.Sc (Physics)1989Bharathidasan University
UGB.Sc (Physics)1987Madurai Kamaraj University

Work Experience

Name & Address of the EmployerPosition HeldPeriod of EmploymentTotal Exp.
(in years and Months)
BSACISTProfessor2015 Till Now6 Years and 2 months
Associate Professor01/04/2009Till date 
Assistant Professor01/06/200531/03/20093 Years and 9 months
Senior Lecturer01/06/199931/05/20056 Years
Lecturer24/10/199431/05/19994 years and 7 Months

Research Details & Contributions

  • Machine Learning
  • Personalized Learning

Researcher Id

Research DatabaseIDLinks
IRINS277832https://crescent.irins.org
RESEARCH GATE https://www.researchgate.net/profile/Pakkir-Sheik/research
Google Scholar https://scholar.google.com/citations?hl=en&user=Y0di-y4AAAAJ

Research Summary

 No. of Journal Publications

 No. of Conference Publications

No. of Book / Book Chapter Published

 No. of Patents Published/Granted

No. of Ph.D Scholars Guided

 No. of Ph.D Scholars Currently Guiding

BookBook ChaptersPublishedGranted
168 25 52

Published Papers in: Journals

S. No.Details of Journal Articles Published
1. P. Padmavathy, and Dr. S .Pakkir Mohideen,” An Efficient Two-Pass Classifier System for Patient Opinion Mining to Analyze Drugs Satisfaction” Biomedical Signal Processing and Control (Elsevier) Volume 57, March 2020.
2.P. Padmavathy, Dr.S. Pakkir Mohideen and Zameer Gulzar, ‘An Improved Grey Wolf Optimization Algorithm for Enhancing Two-Pass Opinion Mining Classifier using Patient Reviews”, International Journal of Psychosocial Rehabilitation, Vol. 24, Issue 08, April 2020, ISSN: 1475-7192.
3C. Vijayalakshmi, Dr. S. Pakkir Mohideen, M. Jayasudha, M. Nivedita,  “Block Chain Research and its Implementation Analysis”, International Journal of Seybold Report, Volume 15 – Issue 9 – 2020, ISSN: 1533 – 9211.
4C.Vijayalakshmi, Jishnu Govindarajan , Mohammed Shafeeq  and Dr. S.Pakkir Mohideen, “Risk Prediction of Liver Diseases for Hepatitis-B patients based on K –Nearest Neighbor Algorithm”, International Journal of Seybold Report, Volume 25 – Issue 10 – 2020, ISSN: 1533 – 9211.
5C.Vijayalakshmi and Dr.S.Pakkir Mohideen, “Sustainable Development of Teaching through Assessment of Descriptive Questions in E-Learning System”, Journal of Green Engineering (JGE) Volume-10, Issue-9, September 2020 .
6C. Vijayalakshmi. and  Dr S. Pakkir Mohideen, “Personalised Vaccination Prediction for Hepatitis B using Machine Learning”,  Annals of the Romanian Society for Cell Biology, Vol. 25, Issue 6, May 2021, Pages. 10069 – 10088.
7Muhib Anwar Lambay and S. Pakkir Mohideen, A Hybrid Approach Based Diet Recommendation System Using ML and Big Data Analytics, Journal of Mobile Multimedia, JULY – 2022: Vol 18 Issue 6, Page No. 1541–1560.
8C Vijayalakshmi, S PakkirMohideen, “Survival prediction model with lion optimization for Hepatitis-B patients using supervised and unsupervised learning algorithm” Measurement: Sensors, available online 16 December 2023, 100958.
9Y. Nasir Ahmed , S. Pakkir Mohideen&; Mohammad Pasha, Task scheduling in cloud-fog computing using discrete binary particleswarm meta-heuristic with modified sigmoid function, Journal ofInformation and Optimization and sciences,2023, Volume No. 44,Issue No. 6, Pages 1023–1033.
10Y. Nasir Ahmed , S. Pakkir Mohideen & Mohammad Pasha, Enhancing Quality of Service (QoS) and minimizing application placement delayin cloud-fog nodes through meta-heuristic algorithms, Journal ofInformation and Optimization and sciences,2023, Volume No. 44,Issue No. 6, Pages 1167–1177.
11Syed Hussain  & S. Pakkir Mohideen, “SCMD suspicious cryptographic message detection”, Measurement: Sensors, Elsevier , Volume 29, October 2023, 100863.
12Muhib Anwar Lambay and S. Pakkir Mohideen, “Applying Data Science Approach to PredictingDiseases and Recommending Drugs in Healthcareusing Machine Learning Models –A Cardio Disease Case Study” Journal of Multimedia Tools & Applications, January 2024.
13Syed Hussain  & S. Pakkir Mohideen, “A state-of-the-art universal machine learning framework for decoding suspect coded messages ”, Measurement: Sensors, Elsevier , Volume 33, June 2024, 101115.

International Conference

S. No.Details Of Conference Articles Published
1.P. Padmavathy, Dr.S. Pakkir Mohideen and Zameer Gulzar, “A Novel Architecture for a Two-Pass Opinion Mining Classifier”, International Conference on Advances in Computational Intelligence and Informatics (ICACII- 2019), Proceedings available in  Springer , ISSN: 2367-3370, Online Issue since 30 April 2020, pg 27-35.
2. Muhib Anwar Lambay and Dr. S. Pakkir Mohideen,,” Big Data Analytics for Healthcare Recommendation Systems”, 3rd IEEE Conference on Systems, Computation, Automation and networking organized by Manakula Vinayagar Institute of Technology, Puducherry on July 3-4th 2020.
3C. Vijayalakshmi and Dr. S. Pakkir Mohideen,” Personalization of Data using Machine learning”, International Conference on Computing, Communication and Information Technology, organized by department of Computer Science and Engineering and Information Technology, Chennai Institute of technology on 30 & 31st July,2020.
4Y. Nasir Ahamed and Dr. S, Pakkir Mohideen , “Workload Characteristics in Cloud Data Centers: A Computational Study from Alibaba Cloud”, International Conference on Information Science and Communications Technologies (ICISCT), Tashkent, Uzbekistan, 3-5 November 2021.
5Muhib Anwar Lambay and S. Pakkir Mohideen, “AIE-DRP: Framework with Machine Learning and Deep Learning Models for Adverse Drug Reaction Prediction in Healthcare Use Case”, 2022, “IEEE 8th International Conference on Advanced Computing & Communication Systems” Page No. 1330-1336.
6Hussain  and Dr. S. Pakkir Mohideen, “Advanced Machine Learning Approach for Suspicious Coded Message Detection using Enigma Cipher”   Second International Conference on Electronics and Renewable Systems (ICEARS) 2023, IEEE, 2-4, March 2023, St. Mother Theresa Engineering College, Tuticorin , Tamil Nadu, India.
7Syed Hussain  and Dr. S. Pakkir Mohideen, “Intelligent Machine Learning Method for Detecting Suspicious Encoded Messages”  International Conference on Sustainable Computing and Data Communication Systems (ICSCDS), IEEE, 23-25, March 2023, Shree Venkateshwara Hi-Tech Engineering College, Sri Kalaivani Nagar, Gobichettipalayam, Erode, Tamil Nadu, India.
8C Vijayalakshmi, S PakkirMohideen, “Personalised of Hepatitis B Virus stage using machine Learning Algorithms” Third International Conference on Innovative Research -in- Economics Management, Information Technology and Legal Studies(ICIR –EMIL III-2023) – Dubai  on July 30th, 2023.

Book / Book Chapters Published

S. No.Book/ Title of the Chapter with page Nos.Publisher & ISSN / ISBN No.

1.

Book Chapter: “Personalized Ontology Based Adaptive E-learning System,” for the book, “Machine Learning Approaches for Improvising Modern Learning Systems”

IGI Global Publisher

Details of Patent

Patent 1

Patent title: Multimode Child tracking and monitoring system – Published on 04/09/2020.
Patent No: 202041035163 A
Published date: 04/09/2020

Patent 2

Patent title: Artificial Intelligence based Big Data Analytics tool for Market Research
Patent No: 202041036320 A
Published date: 04/09/2020

Patent 3

Patent title :  IOT  based barrier for crowd Management
Patent No: 399490-001
Published date: 08/11/2023

Organized Training Programmes – Conference – FDPs- Seminars-Workshops-Guest Lectures: (July 2020-Till Date)

TitleRoleDateDuration Sponsoring Agency
FDP on “Digital Image Processing and its Techniques”. Coordinator6 – 10  July,  2020.5 daysCSI & BSACIST
One day workshop on Introduction to AI.Coordinator25th Jan 20231 DayBSACIST
Workshop on “Applications of Cloud Computing in the Real World”.Coordinator15th Mar 20241 DayBSACIST
Workshop on “Aptitude & Mental Ability Training “.Coordinator3rd Sept 20241 DayBSACIST
Workshop on Build and Secure the Cloud Infrastructure with AWS.Coordinator11th Apr 20251 DayBSACIST
Hands on Session on “Python Language Tool Kit”Coordinator17th Apr 20251 DayBSACIST
Workshop titled “Navigating Success: Essential Soft Skills for Career Advancement and Higher Education”Coordinator6th Oct 20251 DayBSACIST
Webinar on “Machine Learning for Everyone – Understand, Build, Deploy”Coordinator10th Oct 20251 DayBSACIST
Annual State Level Technical Symposium (Cybercrest).Coordinator11,February  20261 Day  (Every Year)BSACIST

Attended Training Programmes – Conference – FDPs- Seminars-Workshops-Guest Lectures: (July 2020 – till date)

TitleRoleDateDurationSponsoring Agency
(if any)

Android App using Kotlin” (Online Mode)

 

Participant10 – 16, August 2020.1 WeekMHRD
Annual State Level Technical Symposium (Cybercrest).Delegate11,February  20261 DayBSACIST

Extension Activities (DC Members, Examiners, Reviewers, NSS, NCC, Sports etc.)

A. External

  • Acted as Doctoral Committee (DC) Member and External Examiner at Anna University, Chennai, SRM University, Sathyabama University etc..,
  • Nominated as University Subject expert in Computer Science by the Thiruvalluvar University for the Assistant Professor interview, 2025.

B. Internal (BSACIST)

i. Institute Level

  • Served as a HOD of Computer Applications June 2021 to May 2024.
  • Served as a Transport Officer from the inception of College Transport Service for the Students – Prepared Route details, Schedule, prepared and provided id for the Bus Students. (2003 -2012).
  • Served as a Deputy Warden for Two Years (2008 -2010).
  • Member of the Academic Council of BSACIST, 2025 -2027.
  • NAAC Cycle III Accreditation 2026 – Steering Committee member.
  • Organizing Committee member for National Conferences (2009,2012, 2015 & 2019) and International Conference (2002, 2005 & 2012).

ii. School Level

  • Member, Board of Studies (BoS) and School LevelAdvisory Committee (SLAC)
  • Actively participated in academic planning and curriculum review meetings at the school level.

iii. Department Level

  • Coordinated departmental academic and co-curricular activities.
  • Coordinator for department-level seminars, workshops, and student engagement programmes.