Mr Luca Parisi
DipHE(Hons) University of Bradford, BEng(Hons) Cardiff University, AMIMechE, MIET
Luca spent his first two academic years at the University of Bradford in Medical Engineering, under the main supervision of the Head of Department for the Medical and Healthcare Technology Programmes within the School of Engineering, Dr Mansour Youseffi. Luca studied for a Diploma of Higher Education with Honors and Distinction in Medical Engineering and collaborated within the Biomechanics Laboratory and the School of Optometry and Vision Science as a laboratory assistant. His work was in motion capture-related projects aimed at improving the safety of staircases placed in public places for the elderly who are affected by impaired vision.
During that time, Luca and a coursemate established the Bradford University & College Judo Club, managing to include wheelchair users for the first time in a martial art University of Bradford-based student society. The club achieved various successes at the British Universities & Colleges Sport Championship in 2013 and 2014, both as individuals and as a team.
In the summer of 2014, Luca gained an internship at the International Institute for Advanced Scientific Studies (IIASS) in Italy. He had the good fortune to be mentored by Professor Ferdinando Mancini while assessing the performance of two different prosthetic feet for transtibial amputees via artificial neural networks. This study was then published, and with the support of the Institution of Mechanical Engineers (IMechE) and the South Wales Institute of Engineers Educational Trust (SWIEET2007), presented at an international scientific conference in Barcelona, Spain (abstract available on ResearchGate).
After this, his first summer internship, he moved to Cardiff University, to immediately commence a second summer internship, and then complete his Bachelor of Engineering with Honours in Medical Engineering with the Best Final Year Project in the whole School of Engineering for the academic year 2014/2015.
Luca’s good fortune continued. He was able to intern under Professor Catherine Holt and Dr Gemma Whatling at the Cardiff Arthritis Research UK Biomechanics and Bioengineering Centre. He assessed the performance of two diverse prosthetic total hip replacements via artificial neural networks, and helped doctoral students collect data for motion capture studies aimed at aiding the rehabilitation of patients affected by shoulder injuries.
Professor Holt's and Dr Whatling's supervision extended to his undergraduate project. Along with the help of doctoral student Mr Paul Robert Biggs, Luca carried out a preliminary validation of the Cardiff Artificial Intelligence Classifier (CC). The CC was designed to diagnose knee osteoarthritis, and to monitor the extent of a total knee replacement (TKR) surgery outcome. The results were presented at the 25th Congress of the International Society of Biomechanics in Glasgow, on July, 15th 2015.
After graduation, Luca embarked on a third summer internship (June–July 2015), funded by the Cardiff Institute of Tissue Engineering and Repair (CITER), in which he performed another preliminary validation, this time of the use of the Microsoft KinectTM v2 sensor as an assistive tool to aid in-home rehabilitation for stroke patients, and patients with Parkinson’s disease.
Currently, he is studying toward a PhD in Bioengineering at the University of Auckland under the supervision of Professor Merryn Tawhai, within the Lungs and Respiratory System Research Group.
In all the works he undertakes, Luca strives to form mutually beneficial professional relationships built on ethics and team work, for improving the quality of the outcome, to maximise the group’s performance, and optimise the benefit delivered to the patients.
Research | Current
Developing and validating a novel integrated computational model of the human lung to understand the pathophysiology of Acute Respiratory Distress Syndrome
Luca is currently working on building an integrated model of the human lung to assist in quantifying clinical benefit in patients with ARDS under mechanical ventilation in different postures.
Teaching | Current
Teaching Assistant and Course Designer for the Stage III, Engineering Science ENGSCI311 and ENGSCI313 modules named "Mathematical Modelling 3".
Teaching Assistant for the Stage II, Engineering Science ENGSCI211 module named "Mathematical Modelling 2".
Teaching Assistant for the Stage I, Engineering Science ENGGEN140 module named "Engineering Biology and Chemistry".
Apr 2018 - Best Oral Presentation Award at the IEEE conference "The 4th International Conference on Control, Automation and Robotics (ICCAR 2018)";
Mar 2018 - Published a full-length paper on a novel multi-class classification algorithm in the top 13th peer-reviewed scientific journal in Artificial Intelligence worldwide, "Knowledge-Based Systems" by Elsevier;
Jan 2018 - As a selected speaker by The Australian and New Zealand Association of Mathematical Physics (ANZAMP) for the "ANZAMP Meeting 2018", a technical presentation on "Evolutionary Algorithms for Margin Maximisation of Support Vector Machine" was given;
Nov 2017 - As a selected speaker by Auckland University of Technology for the "2017 AUT Mathematical Sciences Symposium", a technical presentation on "The Importance of Selecting Appropriate k-fold Cross-validation and Training Algorithms in Improving Postoperative Discharge Decision-making via Artificial Intelligence" was given;
Sep 2017 - Associate Member of The Institution of Mechanical Engineers (IMechE) with designatory letters AMIMechE;
Sep 2017 - Member of the Institution of Engineering and Technology (IET) with designatory letters MIET;
Jun 2017 - Annual BizSpark Subscription offered by Microsoft, Velocity and UniServices to support a venture that aspires to aid early diagnosis of anxiety and depression via Artificial Intelligence;
May 2017 - Commercial Innovation Winner, Velocity Innovation Challenge 2017, as a team co-leader of a venture that aspires to treat obstructive sleep apnoea more effectively via an innovative continuous positive airway pressure machine;
May 2017 - Runner-up towards the UniServices Research Prize, Velocity Innovation Challenge 2017, as a team leader of a venture that aspires to aid early diagnosis of anxiety and depression via Artificial Intelligence;
May 2017 - Runner-up towards the UniServices Research Prize, Velocity Innovation Challenge 2017, as a team leader of a venture that aspires to assist in surgical planning via Artificial Intelligence;
May 2017 - As a selected speaker by MathWorks for the MATLAB Conference 2017, Auckland, New Zealand, findings on "A Machine Learning–Based Speech Processing Solution for Facilitating Early Diagnosis of Parkinson's Disease" were discussed;
Dec 2016 - Distance Learning Course of the European Respiratory Society (ERS) on "Acute Respiratory Distress Syndrome" Passed with Distinction (100%);
Sep 2016 - One of three candidates for the role of "Student Representative" of the "IEEE Engineering in Medicine and Biology Society (EMBS)";
Sep 2016 - One of six finalists towards the "Young Investigator Award", "The 16th International Conference on Biomedical Engineering", National University of Singapore (NUS);
May 2016 - Commercial Innovation Winner, Velocity Innovation Challenge 2016, team leader of a venture named "TreatHolho", aspiring to ‘break the wall’ of dementia with early prevention of Alzheimer's disease;
May 2016 - One of ten PhD students finalists from all across New Zealand in the contest “AMP IGNITE 2016” pitching their Ph.D. research via a performance-based presentation at Wellington;
Apr 2016 - Clinical Observership: One of the three students from the Faculty of Engineering at the University of Auckland participating in the "Engineers in Clinical Residence" Programme at the North Shore City Hospital and Waitakere Hospital, Waitemata District Health Board (WDHB);
Nov 2015 - University of Auckland Doctoral Scholarship funded by the Medical Technologies Centre of Research Excellence (MedTech CoRE), New Zealand, and the National Institutes of Health (NIH), United States;
Jul 2015 - Cardiff School of Engineering Award - Best Mechanical, Integrated or Medical Engineering Project 2015;
Jun 2015 - One of three finalists for the 12th Annual (2015) "Humies" Awards for "Human-Competitive Results Produced by Genetic and Evolutionary Computation" by Dr John R. Koza, Stanford University, CA, United States, and Dr Una-May O'Reilly, MIT Computer Science and Artificial Intelligence Laboratory, United States;
Jun 2015 - Cardiff Institute of Tissue Engineering and Repair (CITER) Summer Placement Bursary 2015;
Apr 2015 - One of five finalists for the Clinical Biomechanics International Society of Biomechanics (ISB) Award 2015;
Apr 2015 - David Douglas Paper Award 2015 by the South Wales Institute of Engineers Educational Trust (SWIEET2007);
Jan 2015 - William Norman Thomas Award 2015 by the South Wales Institute of Engineers Educational Trust (SWIEET2007);
Oct 2014 - Program Chair at the 16th International Conference on Fuzzy Systems and Neural Computing (ICFSNC 2014), Barcelona, Spain;
Oct 2014 - Program Chair and Keynote Speaker at the 16th International Conference on Communications and Information Technology (ICCIT 2014), London, United Kingdom;
Sep 2014 - Statistical Analysis of fMRI Data - Coursera Verified Certificate with Distinction (100%) by Johns Hopkins University;
Sep 2014 - Thomas Andrew Common Award 2014 by the Institution of Mechanical Engineers (IMechE);
Aug 2014 - William Norman Thomas Award 2014 by the South Wales Institute of Engineers Educational Trust (SWIEET2007);
May 2014 - The International Institute for Advanced Scientific Studies (IIASS) Summer Internship Programme 2014 Award - "Neural Networks Applications in Gait Analysis".
- the Co-Founder, ex-President (Apr 2016-Nov 2017) and, currently, Research Committee Leader of "The University of Auckland Rehabilitative Technologies Association" (UARTA);
- the Vice-Chair of the Institution of Engineering and Technology (IET) Auckland Local Network;
- a volunteer translator for the European Lung Foundation (ELF);
- a reviewer for an international Springer-Nature journal of Artificial Intelligence (AI) named "Neural Computing and Applications" - check out Luca's Publons verified reviewer profile;
- a reviewer for the top 12th scientific journal in Artificial Intelligence worldwide, "Information Sciences" by Elsevier - check out Luca's Publons verified reviewer profile;
- a reviewer for the "European Board for Accreditation in Pneumology".
Areas of expertise
Statistical Machine Learning
Luca is an Affiliate Member in the following organisations:
- Institution of Mechanical Engineers (IMechE) - 2012-present
- American Society of Biomechanics (ASB) - 2013-present
- Institution of Engineering and Technology (IET) - 2014-present
- Institute of Electrical and Electronics Engineers (IEEE) - 2014-present
- IEEE Engineering in Medicine and Biology Society (EMBS) - 2015-present
- IEEE Young Professionals - 2015-present
- Health Informatics New Zealand (HINZ) - 2015-present
- Healthcare Information and Management Systems Society (HIMSS) - 2016-present
- IEEE Computational Intelligence Society (IEEE/CIS) - 2017-present
- American Thoracic Society (ATS) - 2017-present
- Thoracic Society of Australia and New Zealand (TSANZ) - 2017-present
- World Association for Bronchology and Interventional Pulmonology (WABIP) - 2017-present
- American Society of Mechanical Engineers (ASME) - 2017-present;
- European Society of Biomechanics (ESB) - 2017-present.
Luca is a Gold Member in the following organisation:
- European Respiratory Society (ERS) - 2016-present.
Luca is a Member with designatory letters "MIET" in the following organisation:
- Institution of Engineering and Technology (IET) - 2017-present.
Luca is an Associate Member with designatory letters "AMIMechE" in the following organisation:
- Institution of Mechanical Engineers (IMechE) - 2017-present.