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Amiya-Tripathy

Dr. Amiya Kumar Tripathy


Ph.D., Indian Institute of Technology Bombay (IITB), India

Professor
Department of Computer Engineering
Don Bosco Institute of Technology (DBIT)
Kurla (W), Mumbai 400070, India

Former Adjunct Professor
School of Science,
Edith Cowan University(ECU), Perth, Australia, WA 6027

amiya@dbit.in

(022) 6887 8700, Ext. 519

Book Chapters

  • K. Wagaskar and A. k. Tripathy, (2025), Unveiling the Efficiency Advantages of Quantum Algorithms, in S. Gupta, H. Kasturiwale, S. Alegavi, S. Tripathi, U. Kose (Eds.), Quantum Computing Unleashed: Design, Models and Applications, Wiley-Scrivener publication, Beverly, Massachusetts, USA.
  • Salian P., Kayande D., Tripathy A.K. (2020) Social Inputs Analysis Targeting an Individual and Group. In: Vasudevan H., Gajic Z., Deshmukh A. (eds) . Lecture Notes on Data Engineering and Communications Technologies (LNDECT), vol 36. pp 555-564, Springer, Singapore.
  • A Layered Approach to Fraud Analytics for NFC-Enabled Mobile Payment System Vishwakarma P.P., Tripathy A.K., Vemuru S. (2018). In: Negi A., Bhatnagar R., Parida L. (eds) Distributed Computing and Internet Technology. ICDCIT 2018. Lecture Notes in Computer Science, vol 10722. pp 127-131, Springer, Cham.DOI: https://doi.org/10.1007/978- 3-319-72344-0_9
  • Monitoring Chili Crop and Gray Mould Disease Analysis Through Wireless Sensor Network., Shaikh S., Tripathy A.K., Gill G., Gupta A., Hegde R. (2018) In: Abraham A., Muhuri P., Muda A., Gandhi N. (eds) Intelligent Systems Design and Applications. ISDA 2017. Advances in Intelligent Systems and Computing, vol 736. Springer, Cham, https://doi.org/10.1007/978-3-319-76348-4_88, Print ISBN 978-3-319-76347-7, Online ISBN 978-3-319-76348-4
  • Intelligent AgriTrade to Abet Indian Farming, Wagaskar K., Joshi N., Tripathy A.K., Datar G., Singhvi S., Paul R. (2018). In: Abraham A., Muhuri P., Muda A., Gandhi N. (eds) Intelligent Systems Design and Applications. ISDA 2017. Advances in Intelligent Systems and Computing, vol 736. Springer, Cham, Pages 932-941,Online ISBN 978-3-319-76348-4, DOI: 10.1007/978-3-319-76348-4_89
  • Shahriar Sazzad T.M., Armstrong L.J., Tripathy A.K. (2016) A Comprehensive Analysis: Automated Ovarian Tissue Detection Using Type P63 Pathology Color Images. In: Perner P. (eds) Machine Learning and Data Mining in Pattern Recognition. MLDM 2016. Lecture Notes in Computer Science, vol 9729, pp 714-727. Springer, Cham. https://doi.org/10.1007/978-3-319-41920-6_54
  • Type P63 Digitized Color Images Identification for Ovarian Tissue Analysis, T. M. Shahriar Sazzad, L.J. Armstrong and A.K. Tripathy, (2016), Book- Articulated Motion and Deformable Objects. Editors: Francisco José Perales and Josef Kittler, Springer International Publishing Switzerland 2016, Chapter 5, ISSN 0302-9743 ISSN 1611-3349 (electronic), LNCS, ISBN 978-3-319-41777-6 ISBN 978-3-319-41778-3 (eBook), DOI 10.1007/978-3-319-41778-3
  • Data Mining and Knowledge Discovery in Groundnut Pest/Disease Precision Protection (2013); A. K. Tripathy, J. Adinarayana, S.N. Merchant, U.B. Desai, S. Ninomiya, M. Hirafuji, T. Kiura. Geospatial Technologies for Natural Resources Management. Editors: Soam, S.K., Sreekant, P.D. and Rao, N.H., New India Publishing Agency, Chapter 7, ISBN- 13-9789381450802.