Dr. Vinod P. is presently a Professor in the Department of Computer Applications at Cochin University of Science & Technology, Cochin, Kerala. He was a Postdoctoral Researcher at the Department of Mathematics, University of Padua, Italy, where he implemented the EU-H2020 project named TagitSmart. He was also a Postdoctoral researcher at Malaviya National Institute of Technology, Jaipur, Rajasthan, under the ISEA project on Mobile Security. He holds his Ph.D. in Computer Engineering from Malaviya National Institute of Technology, Jaipur, India. Recently he was awarded a Marie Sklodowska-Curie Post Doctoral fellowship under Horizon Europe. In 2021 he was awarded the Seal of Excellence for a Marie Sklodowska-Curie Individual Fellowship project proposal (Project Title OPTIMA: Organization Specific Threat Intelligence Mining and Sharing ) by the European Commission.

Cryptography, Deep learning, Information Security, Natural language processing, Privacy

Google Scholar

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https://scholar.google.com/citations?user=l9y5N3QAAAAJ&hl=en&oi=ao

A few-shot malware classification approach for unknown family recognition using malware feature visualization, Computers & Security, Elsevier Advanced Technology Vol. 122, 2022

Obfuscation detection in Android applications using deep learning, Journal of Information Security and Applications, Elsevier Vol. 70, 2022

Performance evaluation of deep neural network on malware detection: visual feature approach, Cluster Computing, Springer US 2022

GANG-MAM: GAN based enGine for Modifying Android Malware, SoftwareX, Elsevier Vol. 18, 2022

Cognitive smart cities: Challenges and trending solutions, Expert Systems, Vol. 39, 2022

Evaluation of adversarial machine learning tools for securing AI systems, Cluster Computing, SPRINGER 2022

A Deep Learning Approach for Classifying Vulnerability Descriptions Using Self Attention Based Neural Network, Journal of Network and Systems Management , Springer US Vol. 30, 2022

Detection of Malicious Software by Analyzing Distinct Artifacts Using Machine Learning and Deep Learning Algorithms, Electronics 10, Vol. 14, 2021

Malware visualization and detection using DenseNets, Personal and Ubiquitous Computing , SPRINGER 2021

Detection and robustness evaluation of android malware classifiers, Journal of Computer Virology and Hacking Techniques , SPRINGER 2021

Malware Image Classification using VGG16, 2022 International Conference on Computing, Communication, Security and Intelligent Systems (IC3SIS), 2022

Hate Speech detection in English and Malayalam Code-Mixed Text using BERT embedding, 2022 International Conference on Computing, Communication, Security and Intelligent Systems (IC3SIS), 2022

Context-aware gender and age recognition from smartphone sensors, 2022 International Conference on Computing, Communication, Security and Intelligent Systems (IC3SIS), 2022

Downsampling Attack on Automatic SpeakerAuthentication System, Proc. of 18th ACS/IEEE International Conference on Computer Systems and Applications AICCSA 2021, 2021

Automatic Classification of Vulnerabilities using Deep Learning and Machine Learning Algorithms, In 2021 International Joint Conference on Neural Networks (IJCNN), 2021

Sentiment Analysis Using Deep Learning, In 2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks , 2021

A Real-Time Traffic Surveillance and Security System using Transfer Learning and Edge Computing,, International Conference on Computational Science and Computational Intelligence(CSCI'20: December 16-18, 2020, Las Vegas, USA), 2020

A Real-Time Traffic Surveillance and Security System using Transfer Learning and Edge Computing, In 2020 International Conference on Computational Science and Computational Intelligence (CSCI), 2020

Detection of Tor traffic using deep learning, In 2020 IEEE/ACS 17th International Conference on Computer Systems and Applications (AICCSA), 2020

Detection of Obfuscated Mobile Malware with Machine Learning and Deep Learning Models, In Symposium on Machine Learning and Metaheuristics Algorithms, and Applications, 2020

Prof. Dr. VINOD P, Vehicular Cloud Computing for Traffic Management and Systems, ACM, 2018 , ISBN : 978-1-5225-3981-0

Prof. Dr. VINOD P, P. R. Vishnu, Basant Agarwal, K. A. Dhanya, and Alice Baroni, A Deep Learning-­Based Model for an Efficient Hate-­Speech Detection in Twitter, Taylor & Francis Group, LLC, 2022 , ISBN : 978-­0-­367-­68173-­9

Prof. Dr. VINOD P, George Martin, Dona Spencer, Aditya Hair, Deepa K, Sonia Laudanna,Corrado Aaron Visaggio, Mobile Malware Detection using Consortium Blockchain, Cybersecurity for Artifical Intelligence, Springer, 2022

Post-Doctoral Researcher from University of Padua, Italy, in the year 2017

Post-Doctoral Fellowship from Malaviya National Institute of Technology, Jaipur, in the year 2015

Seal of Excellence for Horizon 20 Marie Sklodowska-Curie Individual fellowship from European Commission, in the year 2021

Marie Sklodowska-Curie Post Doctoral fellowship from Horizon Europe, in the year 2022

RESEARCH PROJECTS

"CROSS-LINGUAL KNOWLEGDE TRANSFER SOCIAL MEDIA ANALYSIS IN LESS RESOURCED LANGAGUAES DURING COVID-19 EPIDIMIC" (Department of Science and Technology(International BILateral Cooperation Division)- 2022 -2024 )