Computational Optimisation and Learning (COL) Lab
 

Grazziela Figueredo

Assistant Professor in Computer Science and Senior Research Data Scientist in the Digital Research Service, Faculty of Science

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Teaching Summary

Teaching

Module co-convenor for COMP4103/G54BIG: Big Data with Isaac Triguero

Target students: Part II and III undergraduate students and MSc students in the School of Computer Science. This module is part of the AI, Modelling and Optimisation theme and the Operating systems and Networks theme in CS. Available to JYA/Erasmus students.

Summary of Content: "Big Data" involves data whose volume, diversity and complexity requires new technologies, algorithms and analyses to extract valuable knowledge, which go beyond the normal processing capabilities of a single computer. The field of Big Data has many different faces such as databases, security and privacy, visualisation, computational infrastructure or data analytics/mining.

This module provides the following concepts:

1. Introduction to Big data

3. Big Data frameworks and how to deal with big data

4. Machine learning library of Apache Spark (MLlib) to understand how some machine learning algorithms (e.g. Decision Trees, Random Forests, k-means) can be deployed at a scale.

Management and Professional Practice is an Aerospace Engineering

I am responsible for delivering the big data topic, where I introduce basic concepts of data science and machine learning applied to aerospace, focussing on the research case studies I work on in the area.

Research, knowledge transfer and training interests:

Big Data

Best practices in Data Science

Machine Learning

Active Learning

Meta-learning

Bio-inspired computation

MLOps

Research Summary

The focus of my research is the development and application of techniques for systems simulation and intelligent data analysis. In particular, I am interested in how environmental changes, trend… read more

Recent Publications

  • FIGUEREDO, GRAZZIELA P, TRIGUERO, ISAAC, MESGARPOUR, MOHAMMAD, GUERRA, ALEXANDRE M, GARIBALDI, JONATHAN M and JOHN, ROBERT I, 2017. Detecting Danger in Roads: An immune-inspired technique to identify heavy goods vehicles incident hot spots IEEE Transactions on Emerging Topics in Computational Intelligence. 1(4), 248-258
  • SIEBERS, PEER-OLAF, FIGUEREDO, GRAZZIELA P, HIRONO, MIWA and SKATOVA, ANYA, 2017. Developing Agent-Based Simulation Models for Social Systems Engineering Studies Social Systems Engineering: The Design of Complexity. 133-156
  • TRIGUERO, ISAAC, FIGUEREDO, GRAZZIELA P, MESGARPOUR, MOHAMMAD, GARIBALDI, JONATHAN M and JOHN, ROBERT I, 2017. Vehicle incident hot spots identification: An approach for big data In: Trustcom/BigDataSE/ICESS, 2017 IEEE. 901-908
  • ALBANGHALI, MA, FIGUEREDO, GP, ALESKANDARANY, MA, GREEN, AR, RAKHA, EA, NOLAN, C, DIEZ-RODRIGUEZ, M, GARIBALDI, JM, ELLIS, IO and CHEUNG, KL, 2017. Biological subtyping and response to primary endocrine therapy in older women with early operable primary breast cancer-a study based on core needle biopsy In: FUTURE ONCOLOGY. 17-17

Current Research

The focus of my research is the development and application of techniques for systems simulation and intelligent data analysis. In particular, I am interested in how environmental changes, trend setters and temporal phenomena affect data and the outcome of AI inference in real-world scenarios. I am mainly interested in sensor and mobility big data problems, where aspects such as health diagnostics, anomalies, traffic, hot spots and mobility behaviour can be assisted or interpreted by machine learning.

RESEARCH PROJECTS:

As Primary Investigator

  • (2021-2023) KTP104213 Innovate UK/Gendius (£238,841.89) (PI - Project Lead)
  • (2019-2022) KTP011710: Innovate UK/ Gleeds (Innovate UK £240k) (PI - Academic Supervisor)
  • (2019) An Intelligent Tool to Optimise Early Stage Cancer Screening - A feasibility study. Research Priority Funding from the University of Nottingham.( £28,330.28) (PI)

As Co-Investigator:

  • (2022) - TRE4C: Creating a blueprint for a Trusted Research Environment For Cities (UoN internal funding)
  • (2021-2022) The association between drugs/vaccines commonly prescribed to older people and bullous pemphigoid: a UK population-based study. (£192,113.46) - NIHR202781 (Co-I)
  • (2020-2021) Informing policy to mitigate risks of COV19 to the mental and physical health of University of Nottingham students - Behavioural Arm (£207,817.24) - UKRI (Co-I)
  • (2020-2021) Using Artificial Intelligence to predict need for therapy in LAM (The LAM Foundation 79k) (Co-I)
  • (2020-2021) Coordinating COVID-19 asymptomatic testing programmes in university settings: providing insight on acquired immunity across the student population. (UKRI 312K) (Co-I)
  • (2020) - AECOM/Microlise Pavement Data Analysis (Services Rendered to Highways England/AECOM £60K) (Co-I)
  • (2019-2020) Confidence Associated with Metagenomic Detection of Threat Agents (Funded by DSTL £136k) (Co-I)
  • (2019) Nottingham Smart Cities - Open Transport Data (Funded by Nottingham City Council) (£31k) (Co-I)
  • (2019) Identification of a panel of autoantibody assays to pancreatic cancer antigens for the early detection and diagnosis of pancreatic cancer. ((The Ian Harty Charitable Trust £79k) (Co-I)
  • (2015) Creating an Artificial Hotspot Laboratory Prototype for Investigating HGV Hotspot Incidences - Funded internally by D3 RPA Discipline Bridging Fund + ADAC (£11.022) (CO-I)

As Researcher/Data Scientist/Collaborator:

  • (2018-2020) EPSRC Next Generation Biomaterials Discovery Programme Grant (EP/N006615/1 - £5M) (Senior Data Scientist)
  • (2017-2018) EU OPTMISED (H2020-FoF-2015 grant 680515) - https://www.optimised-h2020.eu/ (RA)
  • (2016-present) INNOVATIVE (Aerospace Engineering - Marie Curie ITN) (Academic partner - PhD supervisor)
  • (2016) ADAM - Anthropomorphic Design through Advanced Manufacturing (EPSRC) (RA)
  • (2016) Biological subtyping and response to primary endocrine therapy in older women with early operable primary breast cancer-a study based on core needle biopsy (Data Analyst)
  • (2015-2016) Value Enhancement for Data from Assets & Transactions (Innovate UK £ £359,000) (RA)
  • FIGUEREDO, GRAZZIELA P, TRIGUERO, ISAAC, MESGARPOUR, MOHAMMAD, GUERRA, ALEXANDRE M, GARIBALDI, JONATHAN M and JOHN, ROBERT I, 2017. Detecting Danger in Roads: An immune-inspired technique to identify heavy goods vehicles incident hot spots IEEE Transactions on Emerging Topics in Computational Intelligence. 1(4), 248-258
  • SIEBERS, PEER-OLAF, FIGUEREDO, GRAZZIELA P, HIRONO, MIWA and SKATOVA, ANYA, 2017. Developing Agent-Based Simulation Models for Social Systems Engineering Studies Social Systems Engineering: The Design of Complexity. 133-156
  • TRIGUERO, ISAAC, FIGUEREDO, GRAZZIELA P, MESGARPOUR, MOHAMMAD, GARIBALDI, JONATHAN M and JOHN, ROBERT I, 2017. Vehicle incident hot spots identification: An approach for big data In: Trustcom/BigDataSE/ICESS, 2017 IEEE. 901-908
  • ALBANGHALI, MA, FIGUEREDO, GP, ALESKANDARANY, MA, GREEN, AR, RAKHA, EA, NOLAN, C, DIEZ-RODRIGUEZ, M, GARIBALDI, JM, ELLIS, IO and CHEUNG, KL, 2017. Biological subtyping and response to primary endocrine therapy in older women with early operable primary breast cancer-a study based on core needle biopsy In: FUTURE ONCOLOGY. 17-17
  • TODD, IAN, NEGM, OLA H, REPS, JENNA, RADFORD, PAUL, FIGUEREDO, GRAZZIELA, MCDERMOTT, ELIZABETH M, DREWE, ELIZABETH, POWELL, RICHARD J, BAINBRIDGE, SUSAN, HAMED, MOHAMED and OTHERS, 2017. A signalome screening approach in the autoinflammatory disease TNF Receptor Associated Periodic Syndrome (TRAPS) highlights the anti-inflammatory properties of drugs for repurposing Pharmacological research. 125, 188-200
  • SIEBERS, PEER-OLAF, SUSANTY, MEREDITA and FIGUEREDO, GRAZZIELA, 2016. A (More) Formal Approach for Developing Agent-Based Social Simulation Models of Energy Users In: Conference on Social Science Research in Energy. 04
  • FIGUEREDO, G.P., SIEBERS, P.O. and AICKELIN, U., 2015. Juxtaposition of System Dynamics and Agent-Based Simulation for a Case Study in Immunosenescence PLoS ONE. (In Press.)
  • FIGUEREDO, GRAZZIELA P., WAGNER, CHRISTIAN, GARIBALDI, JONATHAN M. and AICKELIN, UWE, 2015. Adaptive Data Communication Interface: A User-Centric Visual Data Interpretation Framework
  • FIGUEREDO, GRAZZIELA P, QUINLAN, PHILIP R, MESGARPOUR, MOHAMMAD, GARIBALDI, JONATHAN M and JOHN, ROBERT I, 2015. A Data Analysis Framework to Rank HGV Drivers In: 2015 IEEE 18th International Conference on Intelligent Transportation Systems. 2001-2006
  • MARTI, E, WANG, X, JAMBARI, NN, RHYNER, C, OLZHAUSEN, J, PÉREZ-BAREA, JJ, FIGUEREDO, GP and ALCOCER, MJC, 2015. Novel in vitro diagnosis of equine allergies using a protein array and mathematical modelling approach: A proof of concept using insect bite hypersensitivity Veterinary immunology and immunopathology. 167(3), 171-177
  • FIGUEREDO, GRAZZIELA P, SIEBERS, PEER-OLAF, OWEN, MARKUS R, REPS, JENNA and AICKELIN, UWE, 2014. Comparing stochastic differential equations and agent-based modelling and simulation for early-stage cancer. PloS ONE. 9(4), e95150
  • FIGUEREDO, GRAZZIELA P., JOSHI, TANVI V., OSBORNE, JAMES M., BYRNE, HELEN M. and OWEN, MARKUS R., 2013. On-lattice agent-based simulation of populations of cells within the open-source Chaste framework INTERFACE FOCUS. 3(2),
  • GRAZZIELA P. FIGUEREDO, PEER-OLAF SIEBERS, DOUGLAS A. AUGUSTO AND HELIO J. C. BARBOSA and UWE AICKELIN, 2013. The use of Agent-based Simulation to Discover Extreme Cases in Immune-Interactions with Early-Stage Cancer Scenarios In: The 12th European Conference on Artificial Life (ECAL 2013). 854-855
  • FIGUEREDO, GRAZZIELA PATROCINIO, BERNARDINO, HEDER SOARES and BARBOSA, HELIO JOSÉ CORR^EA, 2013. Introdução aos sistemos imunológicos artificiais Meta-heurísticas em pesquisa operacional. 113-128
  • PASSINI, MARIA LUIZA C, ESTÉBANEZ, KATIUSCA B, FIGUEREDO, GRAZZIELA P and EBECKEN, NELSON FF, 2013. A strategy for training set selection in text classification problems International Journal of Advanced Computer Science & Applications. 4(6),
  • GRAZZIELA P. FIGUEREDO, TANVI V. JOSHI, JAMES M. OSBORNE, HELEN M. BYRNE and MARKUS R. OWEN, 2013. On-Lattice Agent-based Simulation of Populations of Cells within the Open-Source Chaste Framework Interface Focus.
  • GRAZZIELA P. FIGUEREDO, NELSON F. F. EBECKEN, DOUGLAS A. AUGUSTO and HELIO J. C. BARBOSA, 2012. An Immune-inspired Instance Selection Mechanism for Supervised Classification Memetic Computing.
  • GRAZZIELA P. FIGUEREDO, PEER-OLAF SIEBERS and UWE AICKELIN, 2012. Investigating Mathematical Models of Immuno-Interactions with Early-Stage Cancer under an Agent-Based Modelling Perspective BMC Bioinformatics. (In Press.)
  • GRAZZIELA P. FIGUEREDO, HEDER S. BERNARDINO and HELIO J. C. BARBOSA, 2012. Introducao aos Sistemas Imunologicos Artificiais. In: Metaheuristicas em Pesquisa Operacional (In Press.)
  • GRAZZIELA P. FIGUEREDO, PEER-OLAF SIEBERS, UWE AICKELIN and STEPHANIE FOAN, 2012. A Beginners Guide to Systems Simulation in Immunology. In: Proceedings of the 11th Int. Conf. on Artificial Immune Systems 57-71
  • FIGUEREDO, GRAZZIELA P, 2012. Translating simulation approaches for immunology
  • GRAZZIELA P. FIGUEREDO, UWE AICKELIN and PEER-OLAF SIEBERS, 2011. Systems Dynamics or Agent-Based Modelling for Immune Simulation? In: Proceedings of the International Conference on Artificial Immune Systems. 81-94
  • GRAZZIELA P. FIGUEREDO and UWE AICKELIN, 2011. Comparing System Dynamics and Agent-Based Simulation for Tumour Growth and its Interactions with Effector Cells In: Proceedings of the International Summer Computer Simulation Conference 2011. 15-22
  • GRAZZIELA P. FIGUEREDO and UWE AICKELIN, 2010. Investigating Immune System Aging: System Dynamics and Agent-Based Modelling In: Proceedings of the Summer Computer Simulation Conference 2010. 174-181
  • GRAZZIELA P. FIGUEREDO and UWE AICKELIN, 2010. Defining a Simulation Strategy for Cancer Immunocompetence In: Proceedings of the 9th International Conference on Artificial Immune Systems (ICARIS 2010). 4-17
  • GRAZZIELA P. FIGUEREDO, UWE AICKELIN and AMANDA WHITBROOK, 2009. System Dynamics Modelling of the Processes Involving the Maintenance of the Naive T Cell Repertoire In: Proceedings of the 9th workshop on computational intelligence (UKCI), Nottingham, UK',.
  • GRAZZIELA P. FIGUEREDO, NELSON F. F. EBECKEN and HELIO J. C. BARBOSA, 2009. An immune-inspired sampling technique for data selection In: The XXX CILAMCE.
  • GRAZZIELA P. FIGUEREDO, LUIS A. VIDAL DE CARVALHO, HELIO J. C. BARBOSA and NELSON F. F. EBECKEN, 2008. Evolutionary algorithms to simulate the phylogenesis of a binary artificial immune system. Evolutionary Intelligence I.
  • GRAZZIELA P. FIGUEREDO, NELSON F. F. EBECKEN and HELIO J. C. BARBOSA, 2007. The SUPRAIC Algorithm: A Suppression Immune Based Mechanism to Find a Representative Training Set in Data Classification Tasks In: ICARIS. 59-70
  • GRAZZIELA P. FIGUEREDO, LUIS A. V. DE CARVALHO and NELSON F. F. EBECKEN, 2006. Using Genetic Algorithms to Study the Evolution of Paratopes and Antibodies in Artificial Immune Systems In: XXVII Iberian Latin American Congress on Computational Methods in Engineering, Belem - PA.
  • GRAZZIELA P. FIGUEREDO, LUIS A. V. DE CARVALHO and HELIO J. C. BARBOSA, 2005. Coevolutionary Genetic Algorithms to Simulate the Immune System's Gene Libraries Evolution In: Advances in Natural Computation: First International Conference, Lecture Notes in Computer Science, Changsha - China. 941-944

COL Lab

The University of Nottingham
School of Computer Science
Jubilee Campus
Wollaton Road
Nottingham, NG8 1BB


telephone: +44 (0) 115 9514206
email: pszjds@exmail.nottingham.ac.uk