Monica Wachowicz

Professor Monica Wachowicz

Associate Dean Geospatial Science

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Programs

More information

Professor Wachowicz works on the synergy of streaming analytics and mapping for a world in which “intelligence” will be embedded in virtually everything around us.

Overview

Monica Wachowicz is Professor of Data Science in RMIT. She is also Associate Dean of Geospatial Science, Research Leader of Cyber and Data Analytics of the Space Industry Hub, Deputy Director of the Sir Lawrence Wackett Defence & Aerospace Centre, and the academic representative of the Information Governance Board. She is the founding Member of the IEEE Technical Sub-Committee on Big Data and Member of the editorial board of 9 scientific journals, including International Journal of Big Data Intelligence, International Journal of Internet of Things and Big Data, International Journal of Big Data Security Intelligence, and Associate Editor of the International Journal of Spatio-Temporal Data Science. She is the first woman engineer in Geomatics Engineering to be awarded an NSERC Industrial Research Chair in Canada. Dr. Wachowicz received the title of Honorary Visiting Scholar in the College of Science and Engineering, Flinders University, Australia. Her pioneering work in multidisciplinary teams from government, industry and research organizations is fostering the next generation of data scientists for innovation in green economies.

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Industry experience

Prof. Wachowicz has collaborated in research projects with many high technology companies, such as IBM, Cisco, Orange Communications, ESRI and Siemens. Her recent collaborations include: • Cisco Systems Canada: Dr. Wachowicz is the Cisco Innovation Chair in Big Data for R&D processes centred on three core research domains: Real-Time Streaming Sampling Model, Graph-Based Mobility Data Mining and Map-as-an-Interface Design for Internet of Things.

  • Hickling Arthurs Low Corporation: Research-oriented consulting assignments for Impacts and Implications of Big Data for Geospatial.
  • Roam Technologies: leveraging new and innovative technologies to enhance a tourism experience in a smart city. The broader goal is to change the way local industry works with data and catalyze the adoption of technology with Roam’s partners.
  • Siemens, NBPower, Emera: building a geospatial analytical platform to foster the usage of electric vehicles.
  • Smart Campus Integration and Testing Lab (SCITLab) to explore digital and sustainable buildings.
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Research

Having a unique multidisciplinary background in Geomatics Engineering, Geography, and Computer Science, Monica Wachowicz specializes in machine learning to analyze data streams from the Internet of Things, with the purpose of identifying opportunities and challenges in building sustainable smart cities. Dr. Wachowicz has an extensive experience in supervising graduate students from Engineering, Geography, Computer Science, Statistics, Mathematics, Physics and Urban Planning backgrounds. The students come from Brazil, Canada, China, India, Iran, Mexico, South Korea, Spain, Tunisia, USA, Venezuela, and Vietnam. In the last six years, 52 students have been under her supervision and are currently working for RIDDL, Irving, Deloitte, Leica, IBM, Intact Financial Corporation, Shopify Inc., Santander Group or pursing their academic careers at the University College Dublin, Technical University of Madrid, Harrisburg University, Wageningen University, and Pennsylvania State University.

Research keywords

Streaming Analytics Mobility Behaviour Analytics Edge Computing, EdgeAI Machine Learning on Graphs, TinyML Internet of Things Visual Analytics Geospatial Intelligence

Research output summary

300+

Publications

15

Projects

$10 million

Research revenue

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Supervisor interest areas

  • Space + Geospatial Data Science for Social Wellbeing Smart Mobility

Supervisor projects

  • Multi-Time Window Analytical Workflow for Clustering Wearable Data Streams for revealing self-quantified patterns
  • A data-driven approach for energy consumption prediction of changing scheduling, optimality and scalability of EV integration in smart grids
  • Matrix factorization model with local and global consistency for flow prediction in bike-sharing systems
  • Evaluation of supervised and semi-supervised Machine Learning algorithms for Space Situational Awareness
  • Data Science for smart campus: What smart campuses can teach us about smart cities.

Feature publications

Discovering self-quantified patterns using multi-time window models

Applied Computing and Informatics Journal

McCully, L., Cao, H. Wachowicz, M. Champion, S. and Williams, P. (2022).

Analytics Everywhere: generating insights from the Internet of Things

IEEE Access Journal, 7: 71749 - 71769

Wachowicz, M., Renso, C. and Carlini, E. (2019).

Uncovering the data stream behavior of automated analytical tasks in edge computing

International Journal of Big Data Intelligence (IJBDI), 7(1)

 Hernadez, L., Wachowicz, M., Barton, R. and Breissinger, M. (2019).

Key publications by year

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Feature projects

AIF Digital Grid Project, Theme 2: Scaling Electric Vehicle Integration in Digital Grids

ACOA, $7,850,590

As Co-PI

2019 - 2024

Cisco Innovation Chair in Big Data

$2 million

As PI

2015 -2025

Key projects

  • AIF Digital Grid Project, Theme 2: Scaling Electric Vehicle Integration in Digital Grids, ACOA
  • Investigations and Analysis of Industrial Internet of Things Ecosystems, MITACS Accelerate Internship
  • IoT Platform for Real-time Recommender Systems, MITACS Globalink Research Internship
  • Developing Machine Learning Classifiers for General-Purpose Sensing in IoT, New Brunswick Innovation Foundation
  • Smart and Connected Community Data Strategy, ACOA
  • Real Time Social Signalling and Collective Goods, SSHRC Partnership Development Grant
  • Mobile Transit Applications for Internet of Things, MITACS Globalink Research Internship
  • Design of New Mobile Applications for the Internet of Things, New Brunswick Innovation Foundation
  • Developing a space-time synchronization process in complex road transportation networks, New Brunswick Innovation Foundation
  • Discovering flow patterns across spatial and temporal scales, NSERC Discovery Grant
  • Playful Planning, NSERC Engage
  • Utilizing social media analytics to support real-time (Re)Insurance Catastrophe Response, NSERC Engage
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Grants

  • AIF Digital Grid Project, Theme 2: Scaling Electric Vehicle Integration in Digital Grids, ACOA, 2019-2024
  • Investigations and Analysis of Industrial Internet of Things Ecosystems, MITACS Accelerate Internship, 2019 – 2020.
  • IoT Platform for Real-time Recommender Systems, MITACS Globalink Research Internship, 2019.
  • Developing Machine Learning Classifiers for General-Purpose Sensing in IoT, New Brunswick Innovation Foundation 2018-2019.
  • Smart and Connected Community Data Strategy, ACOA, 2017-2019.
  • Cisco Innovation Chair in Big Data, 2015-2025.
  • Real Time Social Signalling and Collective Goods, SSHRC Partnership Development Grant, 2017-2019.
  • Mobile Transit Applications for Internet of Things, MITACS Globalink Research Internship, 2016. 
  • Design of New Mobile Applications for the Internet of Things, New Brunswick Innovation Foundation, 2016-2017.
  • Developing a space-time synchronization process in complex road transportation networks, New Brunswick Innovation Foundation, 2015-2016.
  • Discovering flow patterns across spatial and temporal scales, NSERC Discovery Grant, 2013-2018. 
  • Playful Planning, NSERC Engage, 2016.
  • Utilizing social media analytics to support real-time (Re)Insurance Catastrophe Response, NSERC Engage, 2014 –2015.
  • Master Vehicle Data for Supporting Advanced Learning in Big Data Analytics, New Brunswick Innovation Foundation, 2014-2015
  • SEEK (SEmantic Enrichment of trajectory Knowledge discovery) Funded by EU FP7, PEOPLE, Marie Curie Action, 2012-2015.
  • MOVE (Knowledge Discovery from Moving Objects) is a COST Action type project funded by EU FP7, COST, ICT, 2009-2013.
  • SOCNET (Understanding social networks within complex, nonlinear systems: geographically-integrated history and dynamics GIS) is a multidisciplinary, multinational research project funded by the U.S. National Science Foundation (NSF) Office of Cyberinfrastructure (OCI), 2009-2013.
  • Multi-Sensors Systems for Tracking and Mobility Applications is a research project PIV – 03 funded by GEOIDE, 2009-2012.
  • MODAP (Mobility, Data Mining, and Privacy) is a Coordination Action type project funded by EU FP7, FET OPEN, 2009-2012.
  •  DYNCOOPNET (Dynamic Complexity of Self-Organizing Cooperation-Based Commercial Networks in the First Global Age) is a multidisciplinary project funded by the European Science Foundation’s EUROCORES (European Collaborative Research) Scheme’s program “The Evolution of Cooperation and Trading” (TECT), 2007-2010.
  • GeoPKDD (Geographic Privacy Aware Knowledge Discovery and Delivery), STREP project funded by EC-FP6-FET, 2006-2008.
  • BIOPRESS (Linking land cover change to pressures on biodiversity), research project funded by EC-FP6-GMES, 2003-2005.
  • KDNet (Knowledge Discovery Network of Excellence), scientific network with more than 70 European companies, research and public sector institutions funded by EC-FP6-IST, 2002-2004.
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Acknowledgement of Country

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Luwaytini' by Mark Cleaver, Palawa.

aboriginal flag
torres strait flag

Acknowledgement of Country

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business.