Reshma Sweeda D'Souza
Reshma Sweeda D'Souza
Assistant Professor
Department of Computer Science and Engineering
Profile
Reshma Sweeda D'Souza is an Assistant Professor currently pursuing a Ph.D. at VTU, specializing in Machine Learning. She is actively engaged in various academic activities and has made contributions to research publications in her field. With a strong technical skill set, Reshma is proficient in programming languages such as C, Python, SQL, HTML, CSS, and JavaScript.
Academic Qualifications
  • Ph.D. (Pursuing), VTU, Belagavi, Focus: Machine Learning
  • M.Tech in Computer Science & Engineering, VTU, Belagavi
  • B.E. in Computer Science & Engineering, VTU, Belagavi
Certifications & Research Contributions
  • NPTEL Course on Data Science for Engineers
  • “Securing Pharmaceutical Supply Chains using AI-Integrated Blockchain Technology”. 2025 International Conference on Innovations in Intelligent Systems: Advancements in Computing, Communication, and Cybersecurity (ISAC3). DOI: 10.1109/ISAC364032.2025.11156788
  • “Real-Time Object Detection and Tracking Using Mobinet and SSD Algorithms”. ICMIB 2024. Lecture Notes in Networks and Systems, vol 1314. Springer, Singapore. DOI: 10.1007/978-981-96-3797-3_36
  • “Performance Evaluation of Machine Learning Algorithms for Cancer Detection in Women”. Advances in Artificial Intelligence and Machine Learning. ERCICAM 2024. Lecture Notes in Electrical Engineering, vol 1335. Springer, Singapore. DOI: 10.1007/978-981-96-3105-6_4
  • Professional Affiliations: ISTE
  • Google Scholar Id: Reshma Dsouza - Google Scholar
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