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Dr. Stephen Dass A

Dr. Stephen Dass A View All

Assistant Professor

School of Technology

Dr. Stephen Dass A is a dedicated academic and researcher with expertise in Computer Science and Engineering. He holds an MS in Software Engineering, an M.Tech (By Research), and a Ph.D. from the prestigious Vellore Institute of Technology (VIT), Vellore campus. With close to five years of teaching experience at premier institutions including VIT, Vellore, and Galgotias University, Greater Noida, He has mentored over 15 undergraduate and postgraduate research projects, reflecting his strong commitment to academic excellence and student development. His scholarly contributions include six research publications in reputed national and international journals, alongside two granted patents. He is also the author of the academic textbook Data Visualization Techniques, published by Mercury Publications, aimed at empowering undergraduate learners with practical insights into modern data representation. Dr. Stephen Dass A has served as a peer reviewer for esteemed international journals such as Transactions on Emerging Telecommunications Technologies (ETT) by Wiley & Sons, and for major academic events including the International Conference on Electrical, Electronics, and Computing Technologies hosted by Sharda University. His current research interests span across Affective Computing, Computational Neuroscience, and Brain–Computer Interaction, areas at the intersection of intelligent systems and human cognition related to multimodal stimulation systems.

    • Graduation In :

      M S (Software Engineering)

    • Graduation From :

      Vellore Institute of Technology, Vellore Campus

    • Graduation Year :

      2013

    • Post Graduation In :

      M.tech (By Research)

    • Post Graduation From :

      Vellore Institute of Technology, Vellore Campus

    • Post Graduation Year :

      2020

    • Doctorate In :

      Ph.D (Computer Science and Engineering)

    • Doctorate From :

      Vellore Institute of Technology, Vellore Campus

    • Doctorate Year :

      2024

    • 5 yrs 4 months

  • Book Chapters

    • Stephen Dass A, Prabhu J. “Amelioration of Big Data Analytics by Employing Big Data Tools and Techniques”, IGI Global Applications of Security, Mobile, Analytic, and Cloud (SMAC) Technologies for Effective Information Processing and Management; 2018 Feb, 21.

    Publications in Journals

    • ArulDass, S. D., & Jayagopal, P. (2023). Classifying distinct emotions from parents of ASD child using EEG source data by combining Bernoulli–Laplace Prior and graph neural networks. Neural Computing and Applications, 1-19. with impact factor – 6.0. DOI : https://doi.org/10.1007/s00521-023-09171-y.
    • “ArulDass, S. D., & Jayagopal, P. (2022). Identifying Complex Emotions in Alexithymia Affected Adolescents Using Machine Learning Techniques. Diagnostics, 12(12), 3188. with impact factor – 3.6 . DOI: https://doi.org/10.3390/diagnostics12123188.
    • Kumar, M. S., Khan, M. Z., Rajendran, S., Noor, A., Dass, A. S., & Prabhu, J. (2022). Imbalanced classification in diabetics using ensembled machine learning. Computers, Materials and Continua, 72(3), 4397-4409.
    • Stephen Dass A, Prabhu J. “Ameliorating the Privacy on Large Scale Aviation Dataset by Implementing MapReduce Multi-Dimensional Hybrid k-Anonymization”,International Journal of Web portals (IJWP), IGI Global, 2019 May.
    • Stephen Dass A, Prabhu J. “Hybrid Coherent Encryption Scheme for Multimedia Big Data Management Using Cryptographic Encryption Methods”, International Journal of Grid and Utility Computing (IJGUC), Inderscience, 2018 may 02.

    Publications in Conferences

    • Stephen Dass A, Prabhu J. “Comparative Analysis of a Systematic Coherent Encryption Scheme for large-scale data management using Cryptographic Encryption Technique”, “2nd International Conference on Smart Computing and informatics. 2018 Jan 27.

  • Patents

    • “IoT-driven Automatic Rural Road Centerline Detection and Extraction from Aerial Images for Forest Fire Decision Support” published with Journal Number- 24/2023, Date: 16/06/2023. Patent no.202341036839.
    • “Enhancing EFL students’ reading skills through machine learning and multiple intelligence-based tasks in higher education” published with Journal Number- 50/2024 Date: 13/12/2024. Patent no. 202441096419