Specialization: Cyber Security, Machine Learning, Cyber Forensics
Academic Experience: (Number of Experience: = 12)
Lecturer (Information Technology Department), Amrita Vishwa Vidhya Peetham University, Kerala ,India (2008-2009)
Assistant Professor( Computer Engineering Department), Pillai College of Engineering, University of Mumbai, Mumbai, India( 2011-2015
Assistant Professor(Information Technology Department), B.V Raju Institute of Technology, JNTU Hyderabad, Telengana,India(2016-2017)
Assistant Professor (Department of Computer Engineering), Mukesh Patel School of Technology Management & Engineering, NMIMS University, Mumbai, Campus, India( Since 2017)
Non-Academic Experience: (Number of Experience: = 6 Months)
Research Assistant, Centre of Cyber Forensics, CDAC Trivandrum ( Jan 2011- July 2011)
Certifications:
Certified Ethical Hacking(CEH) by EC Council
Security + by CompTIA
Membership:
Life Member, ISTE
Service Activities (Outside Organization)
Reviewer of Education and Information Technologies Journal, Springer (Scopus Indexed)
The Imaging Science Journal , Taylor and Francis Publishers
Journal Publications
Kaushik Vakadkar, Diya Purkayastha, Deepa Krishnan, Detection of autism spectrum disorder in children using machine learning techniques, SN Computer Science, Springer (2021)( Scopus Indexed)
Conference Publication:
Deepa Krishnan, Swapnil Singh, Cost-Sensitive Bootstrapped Weighted Random Forest for DoS attack Detection in Wireless Sensor Networks, IEEE Explore, TENCON, Auckland, New Zealand (2022).
Deepa Krishnan, Preeja Babu, An Adaptive Weighted Voting Classifier for Botnet Detection in Internet of Things, IEEE Explore INDICON 2022, IIT Guwahati
Academic Profiles:
Google Scholar: https://scholar.google.co.in/citations?user=6GGc_4wAAAAJ&hl=en
ORCID: https://orcid.org/0000-0002-6236-0955
Research Gate: https://www.researchgate.net/profile/Deepa-Krishnan
Linked In: https://www.linkedin.com/in/deepa-krishnan-0917b4169/?originalSubdomain=in
Scopus: https://www.scopus.com/authid/detail.uri?authorId=56322533400
