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Dr. Sr. Jinsi Jose

Sr. Jinsi Jose

Designation: Assistant Professor
Qualification: PhD
Email-ID: jinsi.jose@stjosephscolleagemoolamattom.ac.in
Phone: +91-8792191152
 
Sr. Jinsi Jose secured a PhD from Christ University Bangalore. She has 3 years of teaching experience in the field of Computer Science. She is currently pursuing PhD in the domain of the Internet of Things (IoT). Her research interests include the Internet of Things, Intrusion Detection, Gamification, Machine Learning and Deep Learning.
Pursing PhD – Internet of Things- CHRIST University 
Master of Computer Applications (MCA)- CHRIST University  
Bachelor of Computer Applications (BCA)- MG University
Joined St. Joseph’s College Moolamattam, Department of Data Science in June 2023 
Worked as an Assistant Professor in the Computer Science Department at Rajagiri College of Social Sciences, Kalamassery, from June 2022 to April 2023. 
Worked as an Assistant Professor in the Department of Computer Science at BVM Holy Cross College Cherpunkal, Kottayam from May 2017 to May 2019.
 
Jinsi Jose, Deepa V Jose, “Deep learning algorithms for intrusion detection systems in internet of things using CIC-IDS 2017 dataset”, International Journal of Electrical and Computer Engineering, Vol. 13, No.1, PP. 1134-1141, 2023. DOI:10.11591/ijece.v13il.pp1134-1141 
 Jinsi Jose, Deepa V Jose, “Impact of Distributed Denial of Service attack in Internet of Things Applications-An Overview”, International Journal of Advanced Science and Technology, Vol. 28, No. 17, pp.201-205, 2019. 
Jinsi Jose, M Vinay, “Performance analysis of gamification over the traditional classroom in education”, Indian Journal of Science and Technology, Vol. 6, No.13, pp. 1-5, 2017. DOI: 10.17485/ijst/2017/v10i13/109065
Jinsi Jose, Vinesh Raj, Sweana Vakkayil Seaban, Deepa V Jose, Machine Learning Algorithms for Prediction of Mobile Phone Prices, In: Hassanien, A.E., Castillo, O., Anand, S., Jaiswal, A. (eds) International Conference on Innovative Computing and Communications. ICICC 2023. Lecture Notes in Networks and Systems, vol 537. Springer, Singapore. https://doi.org/10.1007/978-981-99-3010-4_7 
 Angelo Baby, Jinsi Jose, Akshay Raj, Psychosomatic Study of Criminal Inclinations with Profanity on social media: Twitter. In: Saraswat, M., Chowdhury, C., Kumar Mandal, C., Gandomi, A.H. (eds) Proceedings of International Conference on Data Science and Applications. Lecture Notes in Networks and Systems, vol 551, pp. 611- 627, 2023 Springer, Singapore. https://doi.org/10.1007/978-981-19-6631-6_43 
 Jinsi Jose, Deepa V Jose, “The Internet of Things (IoT) Architectures and Use Cases”, In: Enterprise Digital Transformation Technology, Tools, and Use Cases, Taylor & Francis,Vol.1,2022.https://www.taylorfrancis.com/chapters/edit/10.1201/9781003119 784-4/internet-things-architectures-use-cases-jinsi-jose-deepa-jose 
 Libin Thomas, J Sandeep, Joy Paulose, C Smera, K Amrutha, Jinsi Jose, K Kavipriya, SayantVijay,”On Combinatorial Handoff Strategies for Spectrum Mobility in Ad Hoc Networks: A Comparative Review”. In: Senjyu, T., Mahalle, P.N., Perumal, T., Joshi, A. (eds) ICT with Intelligent Applications. Smart Innovation, Systems and Technologies, vol 248. pp. 727-741, 2021, Springer, Singapore. https://doi.org/10.1007/978-981-16-4177-0_72

 Jinsi Jose, Deepa V. Jose,”Performance Analysis of Deep Learning Algorithms for Intrusion Detection in IoT,” 2021 International Conference on Communication, Control and Information Sciences (ICCISc), Idukki, India, 2021, pp. 1-6. doi: 10.1109/ICCISc52257.2021.9484979. 

Jinsi Jose, Deepa V Jose, Karna Srinivasa Rao, Justin Janz, “Impact of Machine Learning Algorithms in Intrusion Detection Systems for Internet of Things”, IEEE 2021 International Conference on Advances in Computing and Communications (ICACC), Kochi, Kakkanad, India, 2021, pp. 1-6, doi: 10.1109/ICACC-202152719.2021.9708404.

 
Presented paper on “ Machine Learning Algorithms for Prediction of Mobile Phone Prices” at the 6th International Conference on Innovative Computing and Communication (ICICC-2023). 
 
 Presented a paper on ” Psychosomatic Study of Criminal Inclinations with Profanity on Social Media: Twitter” at the 3rd International Conference on Data Science and Applications (ICDSA 2022). 
 
 Presented paper on “Impact of Machine Learning Algorithms in Intrusion Detection Systems for Internet of Things.” 2021 International Conference on Advances in Computing and Communications (ICACC). 
 
 Presented paper on “Performance Analysis of Deep Learning Algorithms for Intrusion Detection in IoT” at the 2021 International Conference on Communication, Control and Information Sciences (ICCISc).
 
Co-authored 5th International Conference on Information and Communication Technology for Intelligence Systems- ICTIS 2021.
 
Presented paper on “Attacks in the Internet of Things- An Overview”at the11th National Conference on Emerging Trends in IT (eit2020). 
 
 Presented paper on “Impact of Distributed Denial of Service attack in Internet of Things Applications-An Overview” at the International Conference on Recent Trends in Advanced Computing (ICRTAC-2019). 
 
Attended International Conference on Computational Sciences and Sustainable Technologies (ICCSST-2023). 
 
Attended 8th International Conference Current Trends in Advanced Computing- ICCTAC 2020. 
 Attended International E-Conference on Innovations in Information Technology- IECIIT2020.
Attended FDP on Internet of things (IoT) – Current Developments. 
Attended FDP on Real World Applications and Challenges in IoT and Block chain Technology. 
 Attended FDP on Recent Advancement in Machine Learning and Artificial intelligence. 
 Attended FDP on Internet of Things (IoT) Using Amazon AWS.
Name : Dr. Sr. Jinsi Jose
Qualification : PhD
Designation : Assistant Professor & HoD