Abhimanyu Singh Garhwal

Tech-savvy innovator with hands-on experience in emerging technologies and a passion for continuous improvement. Proven ability to identify opportunities for technological enhancements and implement effective solutions. Skilled in leveraging new tools and methods to solve problems and enhance productivity. Thrives in fast-paced environments, driving technological advancements to meet business objectives.

• 07/2023, Digital Data and Systems, Biosecurity Intelligence System & Response - Biosecurity New Zealand Ministry for Primary Industries New Zealand
• 10/2023, Operation Intelligence, Enhance Reporting and Visualization Capability in Horizon Scanning Functions using Power-BI, New Zealand Level 4 Project Management Certificate, MPI Emerging Leader programme, Microsoft Azure Certification, NZ
• 09/2022, Intelligence and Planning, Mycoplasma bovis Program, Scenario Tree Model (STM) for Prediction of Mbovis Infection, Prestigious New Zealand Biosecurity Excellence Award, Dec 2023, NZ

• Prestigious New Zealand Biosecurity Excellence Award, Dec 2023
• Secured funding grant of $192,268 in 2021 in The Science for Technological Innovation National Science Challenge (SfTI) under the theme as below: Theme: Data science and digital technologies / Sensors, robotics, and automation Proposed project: "Revealing low emitters: Data science to aid climate change mitigation" 2021
• Secured a Summer Research Award at AUT in 2013
• Top of the class: M. Tech. 3rd semester in 2012, M. Tech. 2nd semester in 2011, MBA 4th and 3rd semesters in 2010, MBA 2nd & 1st semesters in 2009, 2nd to top of the class M. Tech 1st semester in 2011

• Hyperspectral Imaging for Potato Zebra Chip Disease Identification, Biosystem Engineering, 2020, 197(C), 306-17, https://doi.org/10.1016/j.biosystemseng.2020.07.005
• Non-destructive Detection of Zebra Chip Disease in Potatoes Using Hyperspectral Imaging, NZIFST, 2019, Christchurch
• Feasibility Study of Detecting Phenolic Compounds Changes in Potatoes using Hyperspectral Imaging, ICNIRS, 2019, Australia
• Spectral Separation of Potatoes and Honey, Food New Zealand Magazine, 2019, 9-11
• BIIIA : A Bioinformatics-Inspired Image Identification Approach, Multimedia Tools and Applications, 2019, 78 (8), 9537-9552, 10.1007/s11042-018-6551-y
• BIIGA : A Bioinformatics-Inspired Image Grouping Approach, Multimedia Tools and Applications, 2019, 78 (11), 14355-14377, https://doi.org/10.1007/s11042-018-6817-4
• Bioinformatics-Inspired Analysis for Watermarked Images with Multiple Print and Scan, PhD Thesis, 2018, Auckland University of Technology
• Image Phylogeny for Simulating Multiple Print-Scan Image, Vision Computing New Zealand (IVCNZ), 2017, 1-6, 10.1109/IVCNZ.2017.8402504
• Speaker Identification Features Extraction Methods: A Systematic Review, Expert Systems with Applications, 2016, 90 (Supplement C), 250-271
• Evaluations of Image Degradation from Multiple Scan-Print, International Journal of Digital Crime and Forensics (IJDCF), 2015, 7(4), 55-65, 10.4018/IJDCF.2015100104
• Currency Security and Forensics: A Survey, Multimedia Tools and Applications, 2014, 1-31
• An Empirical Approach for Currency Identification, Multimedia Tools and Applications, 2014, 01-11
• Digital Image Authentication System Based on Digital Watermarking, International Conference on Radar Communication and Computing (ICRCC-2012), 2012, 185-189
• Database Optimization By Connection Pooling For Heterogeneous Users, International Journal Of Emerging Technologies And Applications In Engineering Technology and Science (IJ-ETA-ETS), 2011, 4: Issue 2, 148-152