Dr. Amiya Kumar Tripathy is a Professor in Computer Engineering. He had been the Dean (Research & Development) of Don Bosco Institute of Technology, Mumbai.

Dr. Tripathy is also an Adjunct Professor to School of Science, Edith Cowan University, Perth, Australia. He had been a Research Mentor on Smart Farming Project, Thailand with RM University of Technology, Bangkok, Thailand.

Dr. Tripathy had been the Secretary to RUSA, Government of Maharashtra for Higher studies in Geo-Spatial Technology.

Dr. Tripathy earned Ph.D. from IIT Bombay and has been 22 years in Software Industry, Research & Academics having 125 plus publications to repute.

He has been Editorial board member of IEEE Transactions on Computational Social Systems and Elsevier’s Journal of Information Science.

He has been the General Chair & Program Chair to many IEEE/ACM International conferences and has delivered many keynote & plenary talks. He has been carried out many collaborative overseas projects.

His research interest includes Machine Learning, Data Science, Sensor Networks, ICT for Agriculture & Rural Development.

1.    Detecting Deviations from Activities of Daily Living Routines Using Kinect Depth Maps and Power Consumption Data (2019), Hossein Pazhoumand-Dar, Leisa Armstrong and Amiya Kumar Tripathy, Springer - Journal of Ambient Intelligence and Humanized Computing, Pp. 1-21, September 2019.https://doi.org/10.1007/s12652-019-01447-3

2.   Opinion Mining Using Combinational Approach for Different Domains (2019), J. S. Deshmukh, A.K.Tripathy and D. Hiran,” Journal of Electrical and Computer Engineering. August 2019, Vol. 9 Issue 4, Part 2, p3307-3313.

3.  Entropy based classifier for cross-domain opinion mining (2-018), Jyoti S. Deshmukh and Amiya Kumar Tripathy, Elsevier Journal of Applied Computing and Informatics Volume 14, Issue 1, pp. 55-64, January 2018.

4. The Fact-Finding Security Examination in NFC-enabled Mobile Payment System (2018), P. Vishwakarma, A. K. Tripathy and S.Vemuru, Journal of Electrical and Computer Engineering,  Vol. 8 No. 3, pp. 1774-1780,  January 2018.

5. Type P63 Digitized Color Images Performs Better Identification for Ovarian Tissue Analysis  T. M. Shahriar Sazzad, L. J. Armstrong, A. K. Tripathy: Trans. Mass-Data Analysis of Images and Signals 7(1): 41-51 (2016)

1.      Lean Product Development Using Design Thinking, a webinar at  DBIT, Mumbai, 30 June 2020.

2.      Remote Sensing & GIS in Agriculture and Natural Resource Management, Pre-Conference Workshop on Pattern Analysis and Machine Intelligence on 2nd Jan 2020, with 3rd International Conference RTIP2R 2020, Aurangabad, Maharashtra, India, January 03, 2020.

3.      Short term Training Programs on Machine Learning Applications for Spatio Temporal Data Analytics, 7-11 January 2019

4.    Workshop on Artificial Intelligence & Machine Learning Technologies for Rural and Agricultural Systems, at 7th World Congress on Information and Communication Technologies at South Asian University, Delhi, India, December 14-16, 2017.

5.      Remote Sensing & GIS in Rural Agriculture System, an IEEE-GRSS workshop at DBIT Mumbai, 22-23 September 2017.

6.     E-Agriculture Workshop: Emerging Technologies for ICT in Agriculture and Environment, Rajamangala University of Technology, Bangkok, Thailand, 8-9 August 2015

7.     Workshop: Sensing Systems in Agriculture, School of Computing and Security Sciences, Mt. Lawley Campus, Edith Cowan University, Perth, Australia, 3 July 2015.  

8.    Conference Chair (2015), International Conference on Technology for Sustainable Development, ICTSD 2015, February 4-6, 2015, Mumbai, India