Faculty & Staff
Contact
- Phone
Dr. Vinutha H
Assistant Professor
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School/College
Faculty of Engineering and Technology
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Department
Department of Computer Science and Engineering
Dr. Vinutha H is Assistant Professor in Computer Science and Engineering Department, M S Ramaiah University of Applied Sciences, Bangalore, India. She obtained her Ph.D in Computer Science and Information Science Engineering from Visveswaraya Technological University, Belgaum. She has nearly 11 years of industry, academic, and research experience. Her area of research includes Image Processing and Computer Vision. Her research interests include pattern recognition, soft computing, machine learning, and artificial intelligence. Her research interests include Image Processing, Computer Vision, and Cloud Computing.
Qualifications
- Ph.D.
CSE Research Centre, BMS Institute of Technology & Mgt, Visvesvaraya Technological University, 2023
- M.Tech
Dr, Ambedkar Institute of Technology, VTU, 2011
- B.E
Bangalore Institute of Technology , VTU, 2007
Experience
Training Experience (With Topics)
| Sl. No. | Title | Duration | Organizer | |
|---|---|---|---|---|
| 1 | “Video/Image Content Analytics for Forensic and Surveillance Applications” Global Initiative of Academic Networks (GIAN) course 08th May 2023 to 13th May 2023 Mangalore University, Mangalore |
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| 2 | “Artificial Intelligence" Microsoft India & SAP India led Faculty Development Program under TeckSaksham Program 16th January. 2023 – 20th January. 2023 Rao Bahadur Y Mahabaleshwarappa Engineering College Ballari |
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| 3 | "Amazon Web Services" Brainovision solutions India pvt. Ltd & all india council for technical education - (AICTE) Ministry of Education, India 22nd August 2022 to 27th August 2022 E&TC Department, AISSMS Institute of Information Technology, Pune |
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| 4 | “Introduction to Deep Learning” (AICTE) 20 Dec to 24 Dec 2021 (1 week) UVCE, Bangalore |
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| 5 | “Data Analysis using Python” (AICTE) 27 Dec 2021 to 31 Dec 2021 (1 week) IPS Academy , Institute of Engineering & Science |
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| 6 | “Big Data Management: An End-to-End Perspective” (AICTE) 15 June to 19 June 2020 (1 Week) MSRIT, Bangalore |
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| 7 | “Block chain” (AICTE) 23 Nov to 27 Nov 2020 (1 week) Bangalore Institute of Technology, Bangalore |
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| 8 | “NBA and NAAC Accreditation Process” IQAC Cell, MSRIT and AICTE 4th June 2020 – 8th June 2020 MSRIT, Bangalore |
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| 9 | “Visual Object Recognition” Global Initiative of Academic Networks (GIAN) course 15th Jan 2018 to 19th Jan 2018. Mangalore University , Mangalore |
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| 10 | “Emerging trends and Applications of Artificial Intelligence” (ISTE) 10 Aug 2020 to 14 Aug 2020 (1 week) Dr. AIT, Bangalore |
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| 11 | “Data Analytics, Next Generation Programming Language and Simulations” (VGST) 27 Jul 2018 to 31 July 2018 (1 week) Sapthagiri College of Engineering, Bangalore |
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| 12 | “Cloud Computing” Aug-Oct 2019 (8 weeks course= 1 week FDP NPTEL |
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| 13 | “Big Data Computing” Sep-Nov 2020 8 weeks course = 1 week FDP NPTEL |
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| 14 | “NBA Accreditation and Teaching-Learning in Engineering(NATE)” Jan-Apr 2021 12 Week Course=1.5 Week FDP NPTEL |
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| 15 | Training in “Information Security and Ethical Hacking” sponsored by Computer Society of India And is an Information Security Professional 28 and 29th September 2011 Acharya Institute of Technology, Bangalore |
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| 16 | “Artificial Intelligence and Machine Learning” In association with IIIT Allahabad 1 Jul 2019 to 13 Jul 2019 GAT, Bangalore |
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| 17 | “Pattern Classification – A Practitioner’s Approach” National level workshop by Central University of Kerala 5 Nov 2014 to 6 Nov 2014 Central University of Kerala |
- Image Processing
- Computer Vision
- Big Data Analytics
- Cloud Computing
- Received Certificate of Appreciation to support the Capgemini’s Campus to Technical Careers Program as SPOC for TNS India Foundation-in the year 2021-2022
Conference Papers
- Vinutha, H., Thippeswamy, G. TLA Framework—A Transfer Learning Based Approach for Face Anti-spoofing (2023) International Journal of Computer Theory and Engineering, 15 (4), pp. 143-151. Scopus Indexed journal
- Vinutha.H and Dr.Thippeswamy.G, “Antispoofing in face biometrics: a comprehensive study on software-based techniques”, IAES Computer Science and Information Technologies, March 2023 Vol. No 4 Issue No 1, 2023. International Peer Reviewed & Refereed Journal, Indonesian GARUDA indexed, (Science and Technology Index) SINTA S2 accreditated.
- Vinutha.H and Dr.Thippeswamy.G, “Face Anti-spoofing based on Deep Residual Network”, International Journal of Research and Analytical Review, Vol. No 9, Issue No 4, Page No. 732-738, 2022. International Peer Reviewed & Refereed Journal, Open Access Journal. UGC Approved Journal. DOI: http://doi.one/10.1729/Journal.32485
- Vinutha.H, Dr.Thippeswamy. G “Spoof detection using Elegant Pairing method on Stockwell Transform in Face Biometric System”, published in the Journal Neuroquantology, Vol. No 20, Issue No 10, Page No. 8888-8896, 2022.
- Vinutha.H, Dr.Thippeswamy.G and Dhanpal.R, “A New Ensemble Of Texture Descriptors Based On Local Appearance-Based Methods For Face Anti-Spoofing System”, Published in Journal of Critical Reviews, Vol. No. 7, Issue No. 11, Page No. 644, 2020. Scopus Indexed Q2.
- Vinutha H, Dr.Thippeswamy G, “Transfer Learnt Antispoof Framework for Face Biometric System”, Proceedings of 2022 Global Conference on Recent Developments in Computer and Communication Technologies (GC-RDCT 2022), AJ Institute of Engineering and Technology, Mangalore, Karnataka, India during 28 - 29, July 2022.
- Vinutha H, Mukula Chaitanya, & Nagashree N. (2022). Genetic algorithm based Architectural framework for Natural Language Based Question Answering System. International Journal of Computational Learning & Intelligence, 1(2), 19–21
- Vinutha.H and Dr.Thippeswamy.G,“Efficient Anti-spoofing Models for Face Biometric System” presented the POSTER in IEEE - CAS Research Conclave – 2022 held at Malnad College of Engineering, Hassan on 26th November 2022 and secured Best Poster presentation-1st Prize
- Vinutha H, Shivashankar Y S, Siddu H Gudagudi, Shwetha B S, Sharath B S, “Automated Covid-19 Detection from Chest Images uding CNN”, International Journal of Innovative Research in Computer and Communication Engineering, e ISSN-2320-9801 , p-ISSN 2320 9798, Vol 9, Issue 7, July 2021, Page No pp.8807-8810.
- Vinutha H, Manoj Kumat Thapa, Pankaj Pandey, Nabin Pun, Nishan Paudel, “Indian Currency Recognition for Visually Impaired using Deep Learning Technique”, International Journal of Innovative Research in Computer and Communication Engineering, e ISSN- 2320-9801 , p-ISSN 2320 9798, Vol 9, Issue 7, July 2021, Page No pp.8759-8766.
- IAENG – International Association of Engineers
- ISTE - The Indian Society for Technical Education – Life member
- Trespassers Detection System For Agriculture Fields Using Artificial
- Intelligence & Methods Thereof -
- Indian patent published on 06/11/2020
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