About the Department




   Mr. HARSHA KUMAR H S

  Professor



     

Mr. HARSHA KUMAR H S is presently working as Professor in the Dept. of Information Science and Engineering. He obtained his bachelor’s degree in Electronics and communication Engineering (ECE) from Govt Engineering College, Kushalnagar and Master’s degree in Digital Electronics and communication system VTU-RC, Mysuru. His areas of interests are Analog Electronics, Digital Electronics, Basic Electronics, Signals & Systems, Basics of Electrical and Electronics, Digital Signal Process. He has also done projects on “Qpsk And Bpsk Based Design For Short Frequency Iot Enabled Communication”. He has published paper entitled “Qpsk And Bpsk Based Design For Short Frequency Iot Enabled Communication” has been published in Institute for Studies on Recent Advances in Science & Engineering (ISRASE) and IEAE Digital Libraries in the month of 30th April 2016 Edition Volume 3. held in BAHUBALI Engineering College, Shravanabelagola..He also attended the workshop on “ New model curriculum for first year BE- CBCS detailed syllabus(2018-19)” for first year course under Electronics engineering board held on 19th may 2018 at Sahyadri College of Engineering and Management, Mangaluru organized by VTU.

Contact:  [email protected]



   Mrs. Keerthi M

  Professor



     

Mrs. Keerthi M working as an Assistant Professor in the Department of Computer Science & Engineering, MYCEM, Mysuru. She secured her Bachelor’s Degree in Information Science and Engineeringfrom GSSS Institute of Engineering and Technology for Women, Mysuru and Master’s Degree in Computer Engineering from P.E.S College of Engineering, Mandya. Her teaching and research interest are Iot, Big Data, Digital Image Processing and Computer Networks. She assisted as Teaching Assistant Staff in TEQUIP forum at P.E.S.C.E, Mandya.

Her technical presentation and publication details are as follows, • Published her paper “Dynamic Control System Based On Context for Mobile Devices” in IJRITCC, May 2015, Volume:3 Issue:5, ISSN: 2321-8169. • Published her paper “Packet Scheduling Schemes for Underwater Acoustic Localization in WSN” in IJERT, NCETEIT-2017 Conference Proceedings, April 2017, Volume:5 Issue:20, ISSN: 2278-0181.

Contact:  [email protected]



   Ms. Spandana S G

  Professor



     

Ms. Spandana S G is working as an Assistant professor in the Dept. of Information Science and Engineering, MyCEM, Mysuru. She secured her Bachelor’s degree in Information Science and Engineering from GSSSIETW, Mysuru and Master’s Degree in Software Engineering from JSS Science and Technology University (Formerly SJCE), Mysuru. She worked on many projects like ”Real Time Tweet Cluster Rank Detection Algorithm for Tweet Data” , “Plant Leaf Disease Detection Using ANN” , “A Parallel Patient Waiting Time Prediction in a Big Data Environment” and “e-Project Tracking and Version Control using Software Development” . She completed her internship with project entitled, “Anatomization and Record Scan System for Controlled Detailing and Estimation Program” at Sanria Engineering & Consulting Pvt. Ltd.Mysuru.Her Teaching and Research interest topics are Machine Learning, Cyber Security, Big Data, IOT and Data Mining.



Contact:  [email protected]



   Ms. Ranjitha Bai A

  Professor



     

Ms. Ranjitha Bai A is working as an Assistant professor in the Dept. of Computer Science and Engineering, MyCEM, Mysuru. She secured her Bachelor’s degree in computer Science and Engineering from Ekalavya Institute of Technology, Chamarajanagar and Master’s Degree in Computer Science & Engineering from VTU PG Center, Mysuru. Her Teaching and Research interest topics are IOT, Big data and Machine Learning. Her Technical Presentation and Publication details are as follows: • Published her paper “Analysis of Machine Learning Algorithm for Ransomeware Detection and Behavioral-Based Classification” International Journal for Research in Applied Science & Engineering Technology (IJRASET) ISSN: 2321-9653; Volume 8, Issue IV. • Published her paper “The Ransomeware Identification and Behavioral-Based Classification using Machine Learning” Online International Conference on Recent Trends in Computer Science and Information Technology (ICRCSIT-20), ISBN No: 978-93-80831-66-4.

Contact:  [email protected]