Faculty Profile

About

Dr. Vinutha H was awarded a Postdoctoral Fellowship at Casimir Pulaski University of Radom, Poland, in June 2026. She is currently serving as an Assistant Professor in the Department of Machine Learning at BMS College of Engineering, Karnataka, India.
She earned her Bachelor of Engineering (B.E.) in Computer Science and Engineering from Visvesvaraya Technological University (VTU), India, in 2007. She completed her Master's degree in 2011 and obtained her Ph.D. in Computer Science and Engineering from VTU in 2023.
Her research interests include pattern recognition, soft computing, machine learning, and artificial intelligence, with particular emphasis on deep learning techniques and optimization algorithms. She has published several research articles in reputed high-impact journals and has presented her work at various international conferences and academic conclaves. In addition, she has served as a reviewer for IEEE conferences and actively contributes to the academic community. She is a member of professional organizations such as the Indian Society for Technical Education (ISTE) and the International Association of Engineers (IAENG).

Education

• Ph.D - CSE
  CSE Research centre, BMS Institute of Technology, VTU
  Passed Year: 2023 | Program Type: PartTime
• M.Tech - CSE
  Dr.Ambedkar Institute of Technology, VTU
  Passed Year: 2011 | Program Type: FullTime
• B.E. - CSE
  Bangalore Institute of Technology, VTU
  Passed Year: 2007 | Program Type: FullTime

Selected Publications

• Journal | Published On : 30-06-2026
  K.R. Radhika, Sumit Gupta, M. Jayashree Oli, Dolly Sharma, H. Vinutha, H. Nagesh Shenoy
  Pancreatic Tumor Segmentation using Conditional Diffusion and Graph Regularization on Abdominal Computed Tomography Images
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• Journal | Published On : 23-06-2026
  Vinutha H, Kavita V. Horadi, Pavan G. Malghan, Asha M. S, J. Gul Shaira Banu, Anoop G. L.
  Hybrid Transformer-Enhanced 3D CNN For Explainable Alzheimer’s Disease Classification And Progression Prediction
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• Conference | Published On : 27-12-2025
  Dr. Vinutha H, V Karthik Ganesh, A Ashish, Tharun B S and Darshan Hosamani
  EconCausalAI: An Integrated Framework for AI-Powered Economic Policy Analysis and Simulation Presented paper Presented at International Conference on Artificial Intelligence in Engineering Systems (ICAIES 2025) Secured Best Paper award
• Conference | Published On : 01-10-2024
  Vinutha H , Yogananda B V
  Advanced Meta-Learning Techniques for Inference of Neural States Under Anesthetic Conditions
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• Journal | Published On : 01-11-2023
  Vinutha H, G. Thippeswamy
  TLA Framework - A Deep Learning Based Approach for Face Spoof Detection
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• Journal | Published On : 01-03-2023
  Vinutha H; Thippeswamy G
  Antispoofing in face biometrics: a comprehensive study on software-based techniques
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• Journal | Published On : 22-12-2022
  Vinutha H; Thippeswamy G
  A NEW ENSEMBLE OF TEXTURE DESCRIPTORS BASED ON LOCAL APPEARANCE-BASED METHODS FOR FACE ANTI-SPOOFING SYSTEM
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• Journal | Published On : 01-12-2022
  Vinutha H, Dr.Thippeswamy.G
  Face Anti-spoofing based on Deep Residual Network
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• Journal | Published On : 01-12-2022
  Vinutha H, Mukula Chaitanya, N Nagashree
  Genetic algorithm based Architectural framework for Natural Language Based Question Answering System
• Journal | Published On : 20-10-2022
  Vinutha H, Dr.Thippeswamy G
  Spoof detection using Elegant Pairing method on Stockwell Transform in Face Biometric System
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• Journal | Published On : 09-07-2021
  Vinutha H, Manoj Kumar Thapa, Pankaj Pandey, Nabin Pun, Nishan Paudel
  Indian currency Recognition for Visually Impaired using Deep Learning Techniques
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• Journal | Published On : 09-07-2021
  Vinutha H, Shivashankar Y S, Siddu H Gudagudi, Shwetha B S, Sharath B S
  Automated COVID-19 Detection from Chest Images Using CNN
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