Dr. K. Karthikayani

Assistant Professor (Sr.G)Google Scholar Link

Education

  • Ph.D (Information Technology).,
  • M.Tech (Information Technology).,
  • B.Tech (Information Technology).,

Other Details

Courses

  • Programming in Problem Solving
  • Programming in Java
  • Database Management System
  • Geographical Information System
  • Data structures and algorithms
  • Total Engineering Quality Management
  • Object Oriented Programming using C++
  • Object Oriented Design and Programming

Research Interests

  • Data Mining
  • Machine Learning.

Selected Publications

  • K,Nidhi Shah,Priyanka,Namita, “Election Using Computerized Systems and Auto – Allocation Technique in a distributed Network, “International Journal of Emerging Technology and Research,Volume(2),Dec –  2016
  • K,Pushpahaasa,Akshay,Sankaran, “Detection and Classification of Malarial Parasites using Digital Image Processing,” International Journal of Emerging Technology and Research, , Volume(4) May 2017
  • K,Dhanush.K,Karthi Manikandan, “Prediction of drug by side effect Analysis using Data Mining,” ,International Journal for Scientific Research and Development, Volume (6),April 2018.
  • Achyuth Ranjan,V,Karthikayani.K,P.Jaswanth,Vivekanandhan,Shankara Lingam “Light Weight Secure Data Sharing Scheme,”International Journal for Advance Research and Development, Volume (3),April 2018.
  • Achyuth Ranjan,V,Karthikayani.K,P.Jaswanth,Vivekanandhan,Shankara Lingam “ExpertGen:Automated Question Paper Generation System,”International Journal of Innovative Science and Research Technology, Volume (3),March 2018.
  • K,Rohit.M.Rohit.R,Dhilip,”Scalable Blood Requirement Analysis System used Location Based Services,”International Journal of Innovative Science and Research Technology, Volume (3),March 2020.
  • K,Rohit.M.Rohit.R,Dhilip,”Digital Well being an report generation for Parkinson on neural disorder using neural networks,”International Journal of Innovative Science and Research Technology, Volume (4),March 2020.
  • K,Dr.A.R.Arunachalam,”A survey on Deep Learning Extraction Techniques,”AIP Conference Proceedings,October 2020.
  • K,Nanda Kumar,”Analytical Study of Parkinson’s diagnosis through classification techniques,”AIP Conference Proceedings,October 2020.
  • K,T.Selva kumar,K.Anantha Jothi,”Design of convolutional neural network for lung cancer diagnosis”,April 2021
  • K,K.Anantha jothi,Dr.A.Ramalingam,”A novel Bayesian framework for multistate disease progression of Lung cancer”,April 2021.

Papers Presented

  • Logeshwari,K.Karthikayani,A.Sidhuja,D.Ashok, “Designing a Bio-Capsule secure Authentication System,” Conference on Computing and Communications Technologies,Chennai,India, 2015.

Working Papers

  • K,Dr.A.R.Arunachalam,”A survey on Deep Learning Extraction Techniques,”AIP Conference Proceedings,October 2020. 

Work in Progress

  • K,Dr.A.R.Arunachalam,”Analytical Study of Lung caner with classification Techniques,””IFERP”,October 2021.

Academic Experience

  • Assistant Professor, SRM Institute of Science and Technology , September 2013-Till Date.
  • Assistant Professor, GRT Institute of Engineering and Technology, September 2012-August 2013.

Other Professional Experience

  • Software Engineer,Purple Infotech April 2007 – April 2008
  • Software Engineer,cindrel Infotech May 2008 – May 2009

Workshops /Seminars/Conferences organized

  • Three day FDP on Deep Learning in association with IET – LN
  • National Seminar on E- Mobility on 28/08/2019
  • Guest lecture on Database in Industry on 25/03/2021
  • Guest Lecture on Application of AI with the implementation and customization of machine learning algorithms

Workshops /Seminars/Conferences attended

  • Research Paper Writing –Workshop on 12/04/2018
  • Artificial Intelligence and Machine Learning tools – Workshop 02/08/2019 to 03/08/2019
  • Industry Institution Summit – FDP on 28/09/2019
  • Analytics and Machine Learning – FDP between 11/11/2019 to 13/11/2019
  • Design and Implementation of Deep learning in cloud between 13/11/2019 to to 15/11/2019
  • Image Processing using MAtLab – FDP 25/11/2019 to 27/11/2019
  • Implementation of AI Algorithms in gaming using C Programming – FDP on 19/12/2019 to 20/12/2019
  • Containers of cloud – Seminar 20/06/2020
  • Machine Learning with Python – Seminar – 22/06/2020 to 27/06/2020
  • Role of Artificial Intelligence in customer experience Seminar on 21/10/2020
  • Internet of things in Agricultural Applications FDP – between 22/10/2020 to 24/10/2020
  • Neural Network and Deep Learning FDP between 23/11/2020 to 27/11/2020
  • Machine Learning under hype seminar on 20/11/2020
  • Deep Learning Based Analysis of Images and Vedios using Python FDP on Atal Academy between 16/11/2020 to 21/11/2020
  • Data Sciences FDP by Atal Academy between 14/12/2020 to 18/12/2020
  • Data Science and Analytics FDP SRM institute of Science and Technology between 04/01/2021 to 08/01/2021
  • Data Sciences FDP by Atal Academy between 18/01/2021 to 22/01/2021
  • Quantum computing FDP by Atal Academy 04/01/2021 to 08/01/2021
  • Online FDP on data science analytics 04/01/2021 to 08/01/2021
  • Two weeks international FDP on technology insights on IOT,AI,and Data science from 18/08/2021 to 28/08/2021
  • AI is the energy sector Opportunities and challenges by ATAL Academy 09/08/2021 to 13/08/2021

Achievements and Awards

  • Received a Mentor Award from IET Chennai LN – Smart City Challenge 2018 for the project EMG , ECG, Controlled Ece Skeleton Suit on 29/09/2018

Memberships

  • Member in IET Membership No. 1100363961
  • Member in ACM Membership No.A7538
  • Member in ISTE Membership No.LMf30963
  • Member in IAENG Membership No.276086
  • Member in IET Membership No.1588