Dr. Vinod P.

Dr. Vinod P.

Professor

Contact Info

  • vinod.p@cusat.ac.in
  • Department of Computer Applications, Cochin University of Science and Technology
  • CUSAT IQAC Profile

Dr. Vinod P.

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 Marie Sklodowska-Curie Post Doctoral fellowship under Horizon Europe .For the implementation of this project, he is approved 1,88,590.08/- Euros from the host institution of research which is the University of Padua, Italy . In 2021 he was awarded the Seal of Excellence for a Marie Skłodowska-Curie Individual Fellowship project proposal (Project Title OPTIMA: Organization Specific Threat Intelligence Mining and Sharing ) by the European Commission. For the implementation of this project, he is approved 100,000 Euros from the host institution of research which is the University of Padua, Italy. He has numerous research articles published in peer-reviewed Journals and International Conferences. He is a reviewer of a number of security journals few to name are IEEE Transactions of Information Forensics, IEEE Communication Surveys and Tutorials, Elsevier Computer Communications, and is also serving as a programme committee member in the International Conferences related to Computer and Information Security. Dr.Vinod’s area of interest is Adversarial Machine Learning, Malware Analysis, Context aware privacy-preserving Data Mining, and Natural Language Processing.

Field Of Special Interest

Adversarial Machine Learning
Context aware privacy-preserving
Natural Language Processing
Malware Analysis
Data Mining

Education



Post-Doctoral Researcher
(“SPRITZ Security and privacy Group”), at the Department of Mathematics,University of Padua, Italy (2017-2018)EU H2020 Project TagItSmart! - A Smart Tags driven service platform for enabling ecosystems of connected objects. Principal Supervisor: Prof.Mauro Conti, University of Padua, Italy
Post-Doctoral Fellowship
Malaviya National Institute of Technology, Jaipur (2016-2017) Project: Mobile Security, Information Security Education Awareness-II (ISEA-II) Principal Supervisor: Prof.Manoj Singh Gaur, Director, Indian Institute of Technology, Jammu
Ph.D. in Computer Engineering
Malaviya National Institute of Technology, Jaipur (2008-2012) Thesis: Malware Detection Methodologies Principal Supervisor: Prof.Vijaylaxmi, Malaviya National Institute of Technology, Jaipur Co-Supervisor: Prof. Manoj Singh Gaur Malaviya National Institute of Technology, Jaipur
M.Tech. Information Technology
School of IT, RGPV,Bhopal, India (Duration:2003-2005)
B.E. in Computer Science & Engineering
RGPV, Bhopal, India(Duration: 1997-2001)

Experience



Professor
Department of Computer Applications, Cochin University of Science and Technology (CUSAT), Cochin, Kerala November 2020 - Till Date
Professor & Head
Department of Computer Science & Engineering, SCMS School of Engineering & Technology, Kerala, India 2017-October 2020
Associate Professor
Department of Computer Science & Engineering, SCMS School of Engineering & Technology, Kerala, India 2012-2017
Assistant Professor
Department of Computer Science & Engineering, SCMS School of Engineering & Technology, Kerala, India 2005-November 2012
Lecturer
Department of Computer Science & Engineering, Oriental Institute of Science & Technology, Bhopal, MadhyaPradesh, India 2002-2003
Lecturer
Department of Computer Science & Engineering, Mandsaur Institute of Technology, MadhyaPradesh, India 2001-2002

Publications

  • Vishnu P. R., Vinod P., and Suleiman Y. Yerima. "A Deep Learning Approach for Classifying Vulnerability Descriptions Using Self Attention Based Neural Network." Journal of Network and Systems Management 30, no. 1 (2022): 1-27.
  • Renjith G., Sonia Laudanna, S. Aji, Corrado Aaron Visaggio, and Vinod P. "GANG-MAM: GAN based enGine for Modifying Android Malware." SoftwareX 18 (2022): 100977.
  • Asha S., and Vinod P. "Evaluation of adversarial machine learning tools for securing AI systems." Cluster Computing 25, no. 1 (2022): 503-522.
  • Ashik, Mathew, A. Jyothish, S. Anandaram, Vinod P., Francesco Mercaldo, Fabio Martinelli, and Antonella Santone. "Detection of Malicious Software by Analyzing Distinct Artifacts Using Machine Learning and Deep Learning Algorithms." Electronics 10, no. 14 (2021): 1694.
  • Anandhi, V., Vinod P., and Varun G. Menon. "Malware visualization and detection using DenseNets." Personal and Ubiquitous Computing (2021): 1-17.
  • Anupama, M. L., Vinod P., Corrado Aaron Visaggio, M. A. Arya, Josna Philomina, Rincy Raphael, Anson Pinhero, K. S. Ajith, and P. Mathiyalagan. "Detection and robustness evaluation of android malware classifiers." Journal of Computer Virology and Hacking Techniques (2021): 1-24.
  • Google Scholar Profile