Official staff directory · 3 campuses · 50+ departments
PES.edu

Know their name?

Skip the browsing — jump straight to a name or department with search.

All Staff A–Z Sign In
All Campuses 080‑10‑297297
All Staff A–Z About Our Faculty
Home Leadership About Faculty
Sign In
Home/ Staff A–Z/ Dr. Thenmozhi S
Thenmozhi S
Teaching

Dr. Thenmozhi S

Professor

Computer Application RR Campus thenmozhis@pes.edu +91 80 2672 1983 Ext 393
3
Research Areas
24
Publications
10
Courses Taught
4
Qualifications
6
Roles Held
1
Achievements

About

Dr.S.Thenmozhi is a Professor in the Department of Computer Applications at PESU since 2014. She has been in teaching profession from the year 2000. She obtained her MCA degree in the year 2000 from Annamalai University, Chidambaram, M.Phil from Bharathiar University, Coimbatore in the year 2004 and PhD from Anna University, Chennai during 2014. She is qualified with SET. She has produced 6 MPhil graduates. She is recognized PhD supervisor at VTU and PESU. She is keen interested in incubating the research talent among students. Her area of interest is in Data Science and Machine Learning.

Research Areas

3
Research Guidance
  • 1 FT and 2 PT PhD Scholars
Research Interest
  • Data Science and Machine Learning
Research Projects
  • PESU VR Library

Publications

24
Conferences
  • S.Thenmozhi, Smeeta Mahabaleshwara Hegde, "Impact of Practice in concept learning of Computer Application Courses", International conference on Big Data, Cloud and Information Systems, IRAJ-ICBDCIS 2018
  • Sujeeth Malhathkar and Thenmozhi S. “Classifying Chaotic time Series using Gramian Angular Fields and Convolutional Neural Networks”, Proceedings of Eighth International conference on Smart Trends in Computing and Communications, 12-13 Jan 2024
  • Sujeeth Malhathkar and Thenmozhi S. “ Deep Learning for Time Series forecasting – With a focus on Loss functions and Error Measures”, Proceedings of the 2022, IEEE World conference on Applied Intelligence and Computing, DOI: 10.1109/AIC55036.2022.9848877
  • Smeeta Mahabaleswara Hegde, S.Thenmozhi, "Emotion extrication and analysis on Videos", IEEE 8th International Conference in Cloud Computing for Emerging Markets 2019 IEEE
  • Sneha Raghupati Prabhu, S.Thenmozhi, "Lyrics based stratification on Universal Music Genre", 2019 IEEE 8th International Conference in Cloud Computing for Emerging Markets 2019
  • S.Thenmozhi, "Cyptography over Mobile Adhoc Networks", National Conference on Emerging Technologies and Applications at Navarasam Arts and Science College, Arachalur during Feb 2005
  • Uma Damotharan; Thenmozhi S; Rabin Hansda, "Analysis on Cognitive Thinking of an Assessment System", Third Colloquium on Electronics, Mechanical and Civil, CEMC 2017
  • Thenmozhi,S, Uma D, Rabin Hansda. "Rule-Based Classification of Question Paper Using Revised Bloom's Taxonomy", MOOCS 2017
  • Thenmozhi, S, Uma, D and Vikram, K. "Quantifying the yield gap in rice production in various regions of Karnataka", Proceedings of 2016 Fifth IEEE International Conference in Cloud Computing for Emerging Markets 2016 IEEE
  • Thenmozhi, S. and Tamilarasi, A. "A Cluster based Resource Allocation Architecture for Mobile Grid Environment" Proceedings of the 2010 Second International Conference on Computing, Communication and Networking Technologies 2010 IEEE
  • Thenmozhi, S. and Tamilarasi, A. "Context issues for Integrating Mobile and Grid Environments" Proceedings of the 2008 International Conference on Computing, Communication and Networking (ICCCN 2008) 2008 IEEE
  • Thenmozhi,S and Uma D." E-Kranti for Agriculture through Digital India Initiative" ,18th ISTE State Level Annual Faculty convection held during 6-7, November 2015
  • S.Thenmozhi, "Resource Allocation and Scheduling in Cloud Computing Environment", National Conference on Recent Trends in Web Services at Dravidian University, Kuppam during Mar 2014
  • S.Thenmozhi, "Quantifying impact on mobility on data availability", National Conference on web services, Network Security and Soft Computing at Karpagam College of Engineering during March 2012
  • S.Thenmozhi, "Breaching the Divide between Mobile and Grid Environments", National Conference on Information and Computer Applications at Sengunthar College of Engineering for Women, Tiruchengode during Aug 2008
  • S.Thenmozhi and Shobana K, "Self-Organised Public Key Management for Secured Message Transmission over MANETs", National Research Conference on Challenges and Innovations in Information Security at Kongu Engineering College, Perundurai during Feb 2008
  • S.Thenmozhi and Kavitha Bharathi,"Secured Message Transmission over Mobile Adhoc Networks", National Conference on Information Security at Sankara College of Science & Commerce, Coimbatore during Sep 2006
Journals
  • Thenmozhi, S. and Tamilarasi, A. "A Hierarchical Resource Allocation Architecture for Mobile Grid Environment" International Journal of Computer Science and Information Security, Vol. 8, No.5, pp. 6-11, August 2010
  • Thenmozhi, S. and Tamilarasi, A. "A Hierarchical Trusted Resource Allocation Architecture (HTRAA) for Mobile Grid Environment" European Journal of Scientific Research Vol.59 No.4, pp.510-521, 2011
  • Thenmozhi, S, Tamilarasi, A. and Vanathi, P.T. "A fault tolerant resource allocation architecture for Mobile Grid" Journal of Computer Science, Vol. 8, pp. 978-982, 2012
  • Thenmozhi, S, Tamilarasi, A. and Thangavel, K. "Fuzzy based task allocation for resource allocation architecture for Mobile Grid" International J. Soft Computing, Vol.7(3), pp. 97-103, 2012
  • Thenmozhi,S, Kavitha Bharathi,S. "Reliable Resource Allocation for Energy Constrained Mobile Grid Systems" International J. of Science and Research, Vol. 5, Issue 1, 2016
  • S.Thenmozhi, Smeeta Mahabaleshwara Hegde, "Impact of Practice in concept learning of Computer Application Courses", International Journal of Advances in Electronics and Computer Science, Vol.5, Issue 10, Oct 2018
  • Thenmozhi S, Subaraksha R. T, “ Breaking Deadlocks: A Novel method for Dynamic Deadlock Resolution in Concurrent Systems”, journal of Advances in Shell Programming, Vol 10 No 3, 2023. DOI: https://doi.org/10.37591/joasp.v10i3.765

Teaching

10
Artificial Intelligence and Machine LearningPrinciples of Data ScienceData AnalyticsCloud ComputingOperating SystemsObject Oriented ProgrammingUnix System ProgrammingPlatforms and Operating SystemsSystem ProgrammingMobile Adhoc Networks

Education

4
  • PhD
    Anna University
    2014
  • MPhil
    Bharathiar University
    2004
  • MCA
    Annamalai University
    2000
  • BSc
    Bharathidasan University
    1997

Experience

6
  • Professor
    PES University
    2023 – Till date
  • Associate Professor
    PES University
    2014 – 2023
  • Associate Professor
    Madanapalle Institute of Technology
    2013 – 2014
  • Senior Assistant Professor
    Chettinad College of Engineering and Technology
    2008 – 2013
  • Lecturer
    Kongu Engineering College
    2007 – 2008
  • Lecturer
    Sri Vasavi College
    2000 – 2007

Achievements

1
  • SET Qualified

Responsibilities

5
  • Member, Department Curriculum Committee
  • DPAC Coordinator
  • Research Coordinator
  • Academic Coordinator
  • Assistant Controller of Examinations

Additional Info

21
Recognized Supervisor under PESU
Recognized Guide for MPhil Under Bharathiar University
Ratified as Associate Professor under JNTU
Convenor, Datathon during April 2019
Convenor, Datathon during April 2018
Convenor, National Conference on Data Science and Analytics during Nov 10-11, 2017
Convenor, National Conference on Data Science and Analytics during March 9-10, 2016
Resource Person for 1 week Summer course on BigData Analytics using SPARK
Resource Person for a 3 day Workshop on R for Data Science at GSSSITW, Mysore
Resource Person for a 4 day workshop on Data Analysis using R for MBA Students
Resource Person for Semester wide R Programming course for MBA and BioTech Students
Resource Person for a talk on Mobile Grid Computing in SSTP
Completed MOOCs Course on Scala and Spark for Bigdata and Machine Learning, Spark and Python for Bigdata with Pyspark, Machine Learning , Data Science , R Programming , Data Analysis using Excel, Machine Learning using R, Cloud Computing with AWS
Attended 2 day workshop on AI for predicting and forecasting COVID outbreak during May 2020
Attended Workshop on Deep Learning models for Signal and Image Processing with Python during August 2019
Attended Three day FDP on Machine Learning during 18th to 20th July 2018
Attended One day Workshop on "Statistics in Research" during May 2018
Attended One day FDP on Vedic Science for Engineering Education during July 2018
Attended One week FDP on Cloud Computing with AWS during August 2017
Attended workshop on Cloud and IoT for Smart Cities during August 2017
Attended workshop on Scientific Computing with Python

Campus

RR Campus