Dr Giuseppe Manai is passionate about creating business and social value through building robust and scalable decision intelligence. He is motivated to drive technical teams to obtain significant achievements with strong professional rigour and personal integrity. He has proven experience in devising and executing big data strategies in both start-ups as well as
enterprises or corporations.
Dr Manai has 20 years of working experience in Data Science at the intersection between academia, government and industry. He is an Association for Computing Machinery (ACM) member and co-founder of the Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD) chapter in Singapore.
Dr Manai has used data and data science to enable decision-making at scale, mostly in enterprises and via Business-to-Business (B2B) services. He has also developed and implemented data strategies from data to decisions through analytics and data mining. He is knowledgeable in Supply Chain Analytics, Mobility Intelligence, Telco Network Analytics, Marketing and Customer Analytics and Credit Scoring.
He has developed product visions, strategies and roadmaps for data products which can enable effective decision-making and has been hands-on in release planning and operations management using lean start-up principles and agile methodologies. He has distinctive capabilities to synthesise highly technical concepts to maximise effects on business outcomes.
Dr Manai’s research focuses on:
Improved Localisation using Spatio-Temporal Data from Cellular Network. Luo, Ng, Lim, Tan, He, Giuseppe Manai, and Ying Li. IEEE International Conference on Mobile Data Management, June 25-28, 2018, AAU, Aalborg, Denmark.
IEEE Big Data 2016; Classification of massive mobile web log URLs for customer profiling & analytics.
IEEE Big Data 2015; Clairvoyant-push: A real-time news personalized push notifier using topic modeling and social scoring for enhanced reader engagement.
CBRecSys 2014; HybridRank: A Hybrid Content-Based Approach To Mobile Game Recommendations.
ECEG 2010; Segmentation of the PAYE Anytime Users.
ECEG 2010; An Experiment to Measure Changes of Usage and Satisfaction with the Channels of Contact with the Irish Revenue.
ECIW 2009; Channels of Contact with Revenue: is the Telephone Irreplaceable?
Room-temperature self-assembly of equilateral triangular clusters via Friedel oscillations. Physical Review Letters, 101, (2008) 16570.
The reversibility of phase transitions in Ti/Co core/shell nanometre-sized particles. Nanotechnology, 20, 1, 015702 (2008).
Numerical investigation of the stability of Ag-Cu nanorods and nanowires. Physical Review B, 78, 2, 024103. (2008).
Two-State Structure of Nanometer-Sized cu Particles. International Journal of Nanoscience, 07, 137 (2008).
Homogeneous and heterogeneous melting behavior of bulk and nanometer-sized Cu systems: a numerical study. Journal of Materials Science (2007).
Epitaxial molybdenum oxide grown on Mo (110): LEED, STM, and density functional theory calculations. Physical Review B, 75, 15 (2007).
Numerical simulations of the melting behavior of bulk and nanometer-sized Cu systems. Physica B: Condensed Matter, 392 (2007).
Nano-Magnetic Probing on Magnetite. IEEE Transactions on Magnetics, vol. 42, no. 10, pp. 2927-2929, (2006).
Scanning Tunneling Spectroscopy Study Of The Electronic Structure Of Fe3O4 Surfaces. Physical Review B, 74.085416 (2006).
Towards spin-polarized scanning tunneling microscopy on magnetite (110). Japanese Journal of Applied Physics 45, 3B, (2006).
Oxygen-induced p (3× 1) reconstruction of the W (1 0 0) surface. Surface science 579 (1), 65-72 (2005).
Mechanically induced self-propagating combustions: Experimental findings and numerical simulation results. Journal of Materials Science 39 (2004).
Onset of chaotic dynamics in a ball mill: attractors merging and crisis induced intermittency. Chaos, 12, 3, (2002).
Data Science Accelerator