Educational Qualifications

• M.C.A.from Bharathiar University
• M.Phil (Computer Science) from Madurai Kamaraj University
• M.A. (English)from Madurai Kamaraj University
• Ph. D (Computer Science) from Bharathiar University

Employment History

• Joined SCMS School of Engineering &Technology on 1thNov, 2006
• Worked as Asst.Prof in M.E.S College, Marampally from 2006(April)-2006(Oct).
• Worked as Lecturer in Ilahia College, Muvattupuzha 1997(Oct)-2006(March).

Key Responsibilities Held

• Academic coordinator of MCA Department
• Asst. Camp Officier , Centralised Valuation Camp, APJ Abdul Kalam Technological University
• Chairman and Camp Officer of MCA Valuation in SSET
• Member in continuing education cell
• Core team member of PPTAI'16
• Member of entrepreneurship development cell at SSET.
• Member of KTU exam cell at SSET
• Committee member in Internal Complaints Committee.
• Member of organizing committee SPINS-2017

Teaching Interests

• Neural Networks
• Data Mining
• Algorithm Analysis and Design
• Data Structures and Algorithms
• Compiler Design
• Object Oriented Programming with JAVA

Research Interests

• Soft Computing
• Machine Learning
• Web Data Mining
• Detection of malicious code in mobile devices
• Machine Learning
• Soft Computing

Publications

• Deepa K, Radhamani G, Vinod P, Mohammad Shojafar, Neeraj Kumar and Mauro Conti, “Identification of Android malware using refined system calls”, Wiley Concurrency and Computation: Practice and Experience (SCI), doi:https://doi.org/10.1002/cpe.5311
• Deepa K, Radhamani G, Vinod P, “Investigation of Feature Selsection Methods for Android Malware Analysis”, Procedia Computer Science(Elsivier SCOPUS), ISSN 1877-0509, 2015 https://www.sciencedirect.com/science/article/pii/S1877050915002173
• Deepa. K, G.Radhamani, Vinod P , "Malicious APK analysis with reduced API's " in Journal of Advanced Research in Dynamic and Control System(Elsivier SCOPUS) in Aug 2017
• Deepa. K, G.Radhamani, Vinod P,” Investigation of Feature Selection Methods of Android Malware Analysis”, Procedia Computer Science 46 (2015) 841-848, Elsevier Publication
• Deepa. K, G.Radhamani, Vinod P ,”Android Malware Detection using DalvikOpcode”,Proceedings of International symposium on RIFQIIHE, Oct 2014
• Sachitra Rani, Vinod P, Deepa.K , “ECCD pruned Permissions for Android Malware Identification”,Proceedings of 30th National Convention of Electronics and Telecommunication Engineers,2014
• Lakshmi Kumar,Vinod P, Deepa.K,“Handwriting Recognition using Neural Networks”, Proceedings of 30th National Convention of Electronics and Telecommunication Engineers,2014
• Deepa.K, NishaS.Raj, “An approach for software restructuring using efficient data mining tools”, Proceedings of NCICIS 2011, KMEA Engg college, Cochin
• Deepa.K , ” Clustering Algorithms for Refactoring Software Systems”, Proceedings of NCAC-'10 U.C. College Aluva

Technical programs attended

• FDP on Information and Network Security challenges and solutions using Artificial Intelligence Approaches from 14/12/2020 to18/12/2020 CUSAT,Kochi
• FDP on Data analytics and machine learning-Phase II from 17/8/2020 to 22/08/2020 organised by Amal Jyothi college of Engineering, Kerala
• FDP on Data analytics and Machine learning from 03/8/2020 to 08/08/2020 organised by Amal Jyothi college of Engineering, Kerala
• FDP on Deep Learning and Natural Language Processing from 10/08/2020 to 14/08/2020 organised by Rajagiri School of Engineering and Technology.
• International FDP on Linux Fundamentals with cloud and container platform from 22/7/2020 to28/7/2020 organised by Marian College Kuttikkanam
• Attended two day Hands- on Workshop on “Android Application Development ” on 27th and 28th January 2017 at Rajagiri College of Social Sciences(Autonomous), Kalamassery, Cochin
• UGC sponsored workshop on Machine Learning organized by MES Marampally in Jan 2015
• International Elsevier Conference on Information and Communication Technologies, organized by Cochin University in December 2014
• Training Program on LATEX at SCMS Muttom in June 2014
• AICTE sponsored FDP on Machine Learning Techniques “ on 31st May 2013 at SSET
• Cloud Computing Workshop at DePaul ,Angamaly in June 2013
• Android Application Development Workshop in Rajagiri College of Social Sciences on Jan 27th and 28th 2017

Courses Completed

Coursera

• Java for Android
• Introduction to Big Data
• Image Classification with CNNs using Keras

NPTEL

• Programming in C++

Professional Activities

Present Responsibilities

• Life member, IETE
• Member, CSI

Positions held

• Student Branch Coordinator of CSI Student Chapter