The founders of Complexica have worked together for almost 20 years building enterprise software applications that are “smart” and “adaptive”. Such applications bring together the disciplines of algorithmic science and software engineering, as the “science” enables the "smarts" within the software. In addition to authoring thousands of publications and dozens of books, our staff and scientific advisors possess decades of real-world experience in applying Artificial Intelligence to complex business problems. Our award-winning Artificial Intelligence engine Larry, the Digital Analyst® employs techniques from a range of fields, including deep learning, predictive analytics, machine learning, Artificial Intelligence, simulation, and big data analytics.
Key People and Research Partners
Matt Michalewicz Chief Executive Officer
Matt Michalewicz, Chief Executive Officer
Matt Michalewicz has more than 20 years of experience in starting and running high-growth tech companies, especially in the areas of machine learning, predictive analytics, and decision optimisation. He is currently the CEO of Complexica, a provider of Artificial Intelligence software for optimising sales & marketing decisions, and a director of several ASX-listed companies, including Prophecy International (ASX: PRO), ComOps (ASX: COM), and LBT Innovations (ASX: LBT). He is also the author of several books, including Life in Half a Second, Winning Credibility, Puzzle-Based Learning, and Adaptive Business Intelligence.
From 2005 – 2012, Matt was the co-founder and CEO of SolveIT Software, a supply chain optimisation business he grew from zero to almost 180 employees and $20 million in revenue before selling the business to Schneider Electric. Under his leadership, SolveIT Software became the 3rd fastest-growing company in Australia in 2012, as ranked by Deloitte. The company won numerous awards, and counted among its customers some of the largest corporations in the world, including Rio Tinto, BHP Billiton, and Xstrata.
From 1999 - 2003, Matt was the co-founder and CEO of NuTech Solutions in the USA, where he raised more than US$15 million in venture capital and grew the business to almost 200 employees in six international offices. Matt established an “A-list” board of directors, which included former President of Poland and Nobel Peace Prize winner, Lech Walesa, former Bank of America Chairman and CEO, Hugh McColl Jr., world-renowned fraud expert and subject of Steven Spielberg's blockbuster "Catch Me if You Can," Frank Abagnale, and former National Security Advisor to the President of the United States, Zbigniew Brzezinski. NuTech Solutions was acquired by Netezza Corporation, which was subsequently acquired by IBM Global Services.
From 1994 – 1999, Matt was the founder and operator of Fitness Forever, a personal training business, and later, the co-founder of CFG Investments, a money management and financial planning company with more than $150 million under management.
Matt is also a Limited Partner in Blackbird Ventures, an Australian early-stage venture capital fund, and from 2005 - 2016 he held the position of Visiting Fellow at the University of Adelaide where he lectured on the subject of technology commercialisation for graduate students.
Matt’s business achievements have been featured in numerous television shows and publications, including Time Magazine, Newsweek, and Forbes. He was named the Pearcey Foundation "Entrepreneur of the Year", Business Journal "40 under 40" list of accomplished business leaders, and Ernst and Young "Entrepreneur of the Year" finalist.
Matt holds a Bachelor of Science degree in Corporate Finance from the University of North Carolina in Charlotte, where he was later named "Alumnus of Year."
Constantin Chiriac, M.Sc. Chief Software Architect
Constantin Chiriac, M.Sc., Chief Software Architect
Constantin is an expert in the design and development of commercial software systems with more than 15 years of experience developing enterprise software applications based on the latest advances in Artificial Intelligence. These applications were used by numerous Global 1000 companies to create measurable improvements in revenue and bottom-line profits.
In 2005, Constantin co-founded SolveIT Software, an Australian software company specialising in supply chain optimisation. Constantin was a member of the Board of Directors of SolveIT Software and its Chief Software Architect. The company grew from 0 to more than 150 employees from 2005 to 2012 before being sold to Schneider Electric in August 2012. SolveIT Software became the 3rd fastest-growing company in Australia in 2012, as ranked by Deloitte.
Dr. Zbigniew "Mike" Michalewicz, Ph.D. Chief Scientist
Dr. Zbigniew "Mike" Michalewicz, Ph.D., Chief Scientist
Internationally renowned Artificial Intelligence expert, Zbigniew Michalewicz has published over 300 articles and 25 books on the subject of predictive analytics, optimisation, and self-learning systems, which have been cited by other 10,000 authors. These include the ground breaking Adaptive Business Intelligence and How to Solve It: Modern Heuristics. Zbigniew is the Chief Scientist at Complexica and Emeritus Professor at the University of Adelaide (where he held the position of Chair of Artificial Intelligence).
Zbigniew has over 35 years of academic and industry experience, and possesses expert knowledge of numerous Artificial Intelligence technologies. He was the co-founder and Chief Scientist of NuTech Solutions, (which was acquired by Netezza, and subsequently by IBM), and the co-founder and Chief Scientist of SolveIT Software (which was acquired by Schneider Electric after becoming the 3rd fastest growing company in Australia). Both companies grew to approximately 200 employees before being acquired.
During his time in the corporate world, Zbigniew led numerous large-scale predictive analytics and optimization projects for major corporations, including Ford Motor Company, BHP Billiton, U.S. Department of Defence, and Bank of America. Zbigniew Michalewicz also served as the Chairman of the Technical Committee on Evolutionary Computation, and later as the Executive Vice President of IEEE Neural Network Council.
Zbigniew Michalewicz received this Ph.D. degree in Computer Science from the Polish Academy of Science; and his Doctor of Science (Habilitation) degree in Computer Science from the Polish Academy of Science. His research interests include Artificial Intelligence, data mining, predictive modelling, optimisation, logistics, big-data analytics, genetic algorithms, neural networks, fuzzy logic, and optimization.
In December 2013, the President of Poland, Mr. Bronislaw Komorowski, awarded Zbigniew the Order of the Rebirth of Polish Polonia Restituta, which is the second highest Polish state award for a civilian (after the Order of the White Eagle ), awarded for outstanding achievements in the field of education, science, sports, culture, arts, economy, national defense, social activities, the civil service and the development of good relations with other countries.
In 2018 Zbigniew was named winner of the 2018 Science Excellence Awards in the category of STEM Professional (Science, Technology, Engineering and Mathematics).
Doug Misener Corporate Strategy Advisor
Doug Misener, Corporate Strategy Advisor
An innovative and strategic thinker with more than 30 years experience in the liquor industry, Doug is Complexica's strategic advisor on product development and go-to-market strategy in the fast-moving-consumer-goods (FMCG) sector.
Before joining Complexica, Doug was the CEO of Liquor Marketing Group, which is one of Australia’s leading alcohol marketing groups with more than 1,400 retail outlets that turnover in excess of $1 billion annually. During his tenure at LMG from 2005 – 2016, Doug transformed the business by divesting its wholesaling division, overhauling its systems & processes, and achieving a debt-free position. His initiatives led to improved relationships with key suppliers, more effective marketing programs, and greater service levels to the retail outlets.
Prior to LMG, Doug spent almost 15 years with Lion Nathan in a variety of roles, initially in Pepsi Cola Australia (Lion owned), and subsequently in the domestic beer business where Doug led the entire Australian National Sales function. He finished his tenure with Lion as Managing Director of Lion International with direct responsibility for markets in the USA, Canada, the UK, Italy and Japan.
Mike Costa Director, Strategic Accounts & Customer Success
Mike Costa, Director, Strategic Accounts & Customer SuccessMike Costa is a business leader with over 25 years of IT experience in project and program management, operational management and customer service excellence.
Mike’s varied experience spans a range of industry sectors including defence, utilities, telecommunications, manufacturing, oil and gas. Mike has always maintained a strong focus on delivering projects on-time and in an effective manner. Further, he has a strong operational background and has managed the delivery of mission critical applications for external customers.
Prior to joining Complexica, Mike held senior roles at IBM, Schneider Electric, and RACV in Victoria. He also holds a Bachelor of Arts from Monash University and a Graduate Diploma in Applied Information Systems from RMIT University.
Leonardo Arantes, M.B.A. Director, Business Development
Leonardo Arantes, M.B.A., Director, Business Development
Leonardo’s career in sales spans over almost 15 years, across varied B2B solution selling roles in capability development, sales effectiveness consulting, IT & analytics. Leonardo has a deep appreciation for the value of analysis in effective sales processes and has a passion for leveraging automated analytics and Artificial Intelligence to unlock more effective sales activities and accelerate sales operating rhythms.
Prior to joining Complexica, Leonardo was a Senior Business Development Manager with Esri, the world’s global leader in Location Intelligence and Analytics and before that, Senior Partner of Growth & Acquisition for Grist, a behavioural change consulting and benchmarking business, specialising in delivering more effective sales conversations in large scale sales operations.
Leonardo holds a Master of Business Administration (MBA) with specialisation in Marketing from Deakin University.
Murad Mekhtiev Director, Business and Data Analysis
Murad Mekhtiev, Director, Business and Data Analysis
Larisa Stamova, M.B.A. Marketing Manager
Larisa Stamova, M.B.A., Marketing Manager
Larisa is a marketing professional with a passion for digital marketing, in particular PPC, social media, and search engine optimisation. She holds a Masters degree in Business Administration/Marketing from the University of Adelaide. Prior to joining Complexica, Larisa was the Marketing Manager at SolveIT Software, an Australian company specialising in supply chain optimisation. The company grew from zero to almost 180 employees during the period 2005 - 2012, before being acquired by Schneider Electric. Due to Larisa's leadership in marketing, the company won numerous awards, including the National iAward for e-Logistics and Supply Chain Management and the Australian Business Awards for Product Excellence, and added some of the largest corporations in the world as customers, including Rio Tinto, BHP Billiton, and Xstrata.
Sabina Zeynalova Marketing Coordinator
Sabina Zeynalova, Marketing Coordinator
Sabina is a digital marketing specialist focused on content marketing, social media marketing, Google Analytics, SEO, web content management, conversion optimisation and PPC. As Complexica’s Marketing Coordinator Sabina helps Complexica reach more companies and users.
She is also studying a Postgraduate Diploma in Digital Marketing with Digital Marketing Institute, the largest global certification body for digital marketing.
Prior to joining Complexica Sabina worked in marketing, event management and student engagement in the educational sector. Sabina also holds a Bachelor of Education (Honours) with a major in English from Baku Slavic University
Aditya Khaire, M.Sc. Senior Business & Data Analyst
Aditya Khaire, M.Sc., Senior Business & Data Analyst
Jon Guiritan Technical Business Analyst
Jon Guiritan, Technical Business Analyst
Jon is a highly energetic and passionate technical business analyst. He is involved in the analysis, design and implementation planning of the technical and business solutions from pre-sales through delivery.
Before joining Complexica, Jon spent most of his career in IBM (Singapore) designing and developing solutions that involved AI and computer vision to a diverse industry.
Apart from work, Jon enjoys participating in Ironman triathlon events and endurance sports and regularly swim, bike and run.
Waqas Khan Technical Business Analyst
Waqas Khan, Technical Business Analyst
Thorough and meticulous analyst passionate about helping businesses succeed. Waqas works as a ‘Technical Business Analyst’ at Complexica. He possesses strong technical skills rooted in substantial training as an engineer. He has a strong understanding of machine learning models and algorithms. He is passionate about applying his technical knowledge and experience to complex business problems and provide data-driven, action-oriented solutions to challenging business problems for key stakeholders and business leaders.
Waqas brings relevant business /systems development experience both in Australia and overseas. He has worked as a Data Analyst, Lecturer and Business Development Manager in multinational organizations.
Waqas holds a Master of Engineering in Telecommunications /ICT from the University of South Australia and also a Bachelor of Engineering in Information Technology.
Xiang Li, M.Sc. Machine Learning Scientist
Xiang Li, M.Sc., Machine Learning Scientist
Lukasz Olech, M.Sc. Machine Learning Scientist
Lukasz Olech, M.Sc., Machine Learning Scientist
Dr. Ali Shemshadi, Ph.D. Machine Learning Scientist
Dr. Ali Shemshadi, Ph.D., Machine Learning Scientist
Ali Shemshadi received his Ph.D. from the University of Adelaide, where he worked on the practical applications of searching and analysing big data from emerging paradigms such as the Internet of Things. During his academic career, Ali published more than 20 scientific papers in leading journals, conference proceedings, and book chapters, spanning a variety of fields such as Internet of Things, Supply Chain Management, Analytical Decision Making, and Machine Learning. He has also served on various conference committees and international journals in roles ranging from Committee Member and Reviewer, through to Program Chair. His teaching roles also include Associate Lecturer and Course Coordinator for a number of advanced courses at the University of Adelaide.
Prior to joining Complexica, Ali specialised in developing complex analytical/machine learning software for multi-national organisations. In particular, he successfully deliver a number of software projects in various industry sectors, including manufacturing, financial services, education, transport, and media, which are still in production use today. Furthermore, throughout his academic and business career, many of his projects have been recognised with national and international awards for innovation.
Mahdi Shafiei Machine Learning Scientist
Mahdi Shafiei, Machine Learning Scientist
Mahdi Shafiei is an experienced data analyst with a history of working in a range of industries including construction, telecommunication, social media and education. He is skilled in data mining, analytical modelling and research design. He has a first-class Honours degree in applied mathematics focused on search engines information retrievals and is also completing his PhD research on text mining in social media where he applies his data mining and machine learning knowledge in practice.
Dr. Riky Tan, Ph.D. Technical Project Manager/Product Owner
Dr. Riky Tan, Ph.D. , Technical Project Manager/Product Owner
Dr. Riky Tan has more than 10 years of experience in software development, architecture, and technical design. Prior to joining Complexica, Riky was a software team lead for Schneider Electric, where he led large scale software implementation projects for global companies such as BHP Billiton, Roy Hill, and Treasury Wine Estates.
From 2005 to 2011, Riky was a lecturer at the University of Ballarat and the International Institute of Business Information & Technology in Adelaide, delivering IT courses specialising in programming, software engineering, and database management. Before this, he held various positions as IT Manager and System Analyst for various Universities around South East Asia.
Riky holds a Ph.D. degree in Information Technology & Computing from the University of South Australia, along with a Masters of Computer Science and a Bachelor of Computer Science. Riky has carried out research and developed software in the areas of Artificial Intelligence, data mining, and information visualisation and retrieval.
Jon Lee, B.Sc. Technical Project Manager/Product Owner
Jon Lee, B.Sc., Technical Project Manager/Product Owner
Venkata Potturi Software Developer
Venkata Potturi, Software Developer
Software engineer with more than 8 years of experience in designing , developing, and implementing enterprise applications for banking domain. Prior to joining Complexica I was a Technical team Lead for Infosys in India. I hold Bachelor of Engineering in Electronics and Communications from Anna University, India. I came to Australia in Feb , 2019.
In Complexica, I deliver and maintain software products deployed for Complexica's customers. I work closely with the customer's internal technical and business team to discuss requiremnets of change requests and track bugs to ensure deliver in time according to plan and specification.
Abdelrahman Elborey, M.Sc. Technical Team Lead
Abdelrahman Elborey, M.Sc., Technical Team Lead
Abdelrahman is an energetic IT professional with speciality in software development, with an academic background and more than 15 years of experience developing and delivering successful software projects across various industries and in different countries. Prior to joining Complexica, Abdelrahman was a software team lead for Kineo, where he led a team responsible for developing and delivering a cloud based LMS & eLeaning platform. As a technical team lead, Abdelrahman is responsible for the design and implementation of several software products for Complexica, in addition to supervising and mentoring other team members. Abdelrahman holds a M.Sc. degree in Computer Science from Cairo university along with a bachelor of Computer Science.
Luiza Michalewicz, M.B.A. Manager, Customer Experience
Luiza Michalewicz, M.B.A., Manager, Customer Experience
Luiza has a background in marketing and consumer psychology, and holds a Masters degree in Business Administration from the University of Adelaide. Prior to joining Complexica, Luiza was a Customer Experience Analyst at SolveIT Software, a software provider of supply chain optimisation software. As the company grew from zero to almost 180 employees during the period 2005 - 2012, Luiza's team engaged with largest corporations in the world, including Rio Tinto, BHP Billiton, and Xstrata.
Prior to SolveIT Software, Luiza worked in the United States in various marketing and customer experience roles, most notably at NuTech Solutions and Excavio Systems, which were later acquired by Netezza and IBM global services.
Hugh Lam Customer Experience Analyst
Hugh Lam, Customer Experience Analyst
Hugh is a designer motivated by creating delightful user interfaces and ensuring they meet exceed customer expectations. At Complexica, he gathers customer experience data to analyse user feedback, determine satisfaction, interpret results to senior management, and develop solutions to customer service challenges.
Prior to joining Complexica he was the Technical Writing Lead for Schneider Electric, where he developed end-user training materials for the mining industry. The exposure from working directly with customers using the product formalised his interests in devising better user experiences and implementing solutions.
Hugh holds a Bachelor of Information Technology from Flinders University and has strong interests in mechanical design. He spends his spare time in his own workshop where he restores and rebuilds cars.
of Information Technology Research Partner
of Information Technology, Research Partner
The Polish-Japanese Academy of Information Technology was set up in 1994 between the governments of Poland and Japan. Today, the Academy is a leading institute in Poland, taking the 2nd position in the Wprost ranking list of the best non-state schools in 2014, and 5th position among all academic institutions (state and non-state). The main campus of the Polish-Japanese Academy of Information Technology is located in Warsaw, Poland.
Complexica cooperates with the Polish-Japanese Academy of Information Technology on social informatics – in particular, on issues related to the relationships that occur between society and information systems. The changes in social structures are examined that are under the influence of modern information technology, especially in the context of systems such as GitHub or Wikipedia. Also, research issues include investigations on how social mechanisms can improve the quality of information systems, such as reputational systems within an e-commerce context. The interdisciplinary team within the Polish-Japanese Academy of Information Technology has considerable expertise in social network analysis, natural language processing, social simulations, and machine learning.
RMIT University Research Partner
RMIT University, Research Partner
Based in Melbourne, Australia, RMIT University was founded in 1887 and today has an enrollment of over 80,000 students across vocational, undergraduate and postgraduate levels.
Complexica cooperates with the Evolutionary Computing and Machine Learning (ECML) group at RMIT on nature-inspired computational models and algorithms, especially in the areas of evolutionary computation and machine learning. The research takes an inter-disciplinary approach drawing on inspirations from mathematical programming, meta-heuristics, and operations research. Some current research topics include reinforcement learning, deep learning, multi-objective optimization, data mining and analytics, computer vision, time series analysis, evolutionary art, journey planning, and swarm intelligence.
University of Adelaide Research Partner
University of Adelaide, Research Partner
The University of Adelaide was established in 1874 and it is the third oldest university in Australia. It is consistently ranked in the top 1% of universities worldwide.
Complexica cooperates with the School of Computer Science at the University of Adelaide on research topics related to data mining and analytics. These include research on various heuristic methods – how these methods work and how they are able to deal with different types of data problems. The research aims to build up a theory of heuristic methods including evolutionary algorithms and ant colony optimisation that helps to develop new effective approaches based on theoretical insights. Also, problems in the area of social choice are investigated to develop new approaches for dealing with game-theory problems. Other research topics relate to Platforms for People as a Service (PeaaS), evolving critical systems, and cyber security and privacy.
Institute of Data and Analytics Research Partner
Institute of Data and Analytics, Research Partner
Founded by a group of ex-University of Technology Sydney (UTS) Ph.D.s, the International Institute of Data and Analytics aims to bridge the gap between academia and business and to build a platform for interactions and collaborations between outstanding researchers, practitioners, and educators.
Complexica cooperates with the Institute in the areas of data science, big data analytics technology, algorithms and models for cracking challenges in complex data and behaviors. The research topics include community analysis, sentiment understanding, behavior analytics, social analytics, and online analytics in evolving data with complex networking behaviors and relationships in a mixed, interconnected and/or changing environment.
Dr. Kenneth De Jong, Ph.D. Scientific Advisor
Dr. Kenneth De Jong, Ph.D., Scientific AdvisorKenneth De Jong received his Ph.D. degree in computer science from the University of Michigan in 1975. He joined George Mason University in 1984 and is currently a Professor of Computer Science, head of the Evolutionary Computation Laboratory, and Interim Director of the Krasnov Institute.
Kenneth’s research interests include genetic algorithms, evolutionary computation, machine learning, and adaptive systems. He is currently involved in research projects involving the development of new evolutionary algorithm (EA) theory, the use of EAs as heuristics for NP-hard problems, and the application of EAs to the problem of learning task programs in domains such as robot navigation and game playing. He is an active member of the Evolutionary Computation research community, including the founding Editor-in-Chief of the journal Evolutionary Computation (MIT Press), and a member of the board of ACM SIGEVO. He is also the recipient of an IEEE Pioneer Award in the field of Evolutionary Computation and the Lifetime Achievement Award from the Evolutionary Programming Society.
Dr. Frank Neumann, Ph.D. Scientific Advisor
Dr. Frank Neumann, Ph.D., Scientific Advisor
Frank Neumann received his Ph.D. degree from the Christian-Albrechts-University of Kiel in 2006. Currently, he is an Associate Professor at the University of Adelaide and the leader of the Optimisation and Logistics Group within the School of Computer Science. Frank organised the ACM FOGA 2013 in Adelaide with Kenneth De Jong, and co-authored the textbook Bioinspired Computation in Combinatorial Optimization - Algorithms and Their Computational Complexity (Springer) with Carsten Witt.
Frank is an Associate Editor of the Journal of Evolutionary Computation (MIT Press) and Vice-Chair of IEEE Task Force on Theoretical Foundations of Bio-inspired Computation. In his work, he considers algorithmic approaches for combinatorial and multi-objective optimization problems and focuses on the theoretical aspects of evolutionary computation, as well as applications in the areas of renewable energy, logistics, and sports.
Dr. Xiaodong Li, Ph.D. Scientific Advisor
Dr. Xiaodong Li, Ph.D., Scientific Advisor
Xiaodong Li received his Ph.D. degree in information science from the University of Otago in New Zealand, and is currently an Associate Professor at the School of Computer Science and Information Technology at RMIT University. His research interests include evolutionary computation, machine learning, complex systems, multi-objective optimization, and swarm intelligence, and he serves as an Associate Editor of the IEEE Transactions on Evolutionary Computation, the journal of Swarm Intelligence, and International Journal of Swarm Intelligence Research.
Dr. Kalyanmoy Deb, Ph.D. Scientific Advisor
Dr. Kalyanmoy Deb, Ph.D., Scientific Advisor
Kalyanmoy Deb holds the Endowed Chair in the Department of Electrical and Computing Engineering at Michigan State University. Prior to this position, he held the positions of Endowed Chair in the Department of Mechanical Engineering at the Indian Institute of Technology in India.
Kalyanmoy established the Kanpur Genetic Algorithms Laboratory at the Indian Institute of Technology in 1997 and the Computational Optimization and Innovation (COIN) Laboratory at Michigan State University in 2013. He is the author of Multi-Objective Optimization using Evolutionary Algorithms, published by Wiley as part of its series on "Systems and Optimization". In an analysis of authors in the field of evolutionary computation, Kalyanmoy was identified as one of the most central authors in the community and designated as a "sociometric superstar" of the field. Kalyanmoy has several honors to his credit, which include the:
- Shanti Swarup Bhatnagar Award in engineering sciences;
- Thomson Citation Laureate Award for highly cited research in computer science; and
- MCDM Edgeworth-Pareto Award for creativity in the field
Kalyanmoy’s interests lie in the development and application of multi-criterion optimization methods for solving problems in the area of design, modeling, process control, scheduling, resource allocation and machine learning, as well as large-scale and non-linear problems for which customized optimization methods are most suitable.
Dr. Raymond Chiong, Ph.D. Scientific Advisor
Dr. Raymond Chiong, Ph.D., Scientific Advisor
Raymond Chiong received his Ph.D. degree from the University of Melbourne in Australia, and has taught a variety of computer science and information systems courses at Swinburne University of Technology before joining the University of Newcastle in early 2013. Besides teaching, he conducts research related to evolutionary game theory, optimisation, data analytics, and modelling of complex adaptive systems.
Raymond was the Editor-in-Chief of the Interdisciplinary Journal of Information, Knowledge, and Management from 2011 to 2014, and is currently an Editor for the Journal Engineering Applications of Artificial Intelligence and an Associate Editor for the IEEE Computational Intelligence Magazine. He has also served as Guest Editor for a number of reputable international journals, such as the International Journal of Production Economics and the European Journal of Operational Research. He is a Senior Member of IEEE, and one of the Founding Co-Chairs of the IEEE Symposium on Computational Intelligence in Production and Logistics Systems. To date, he has produced/co-authored over 100 refereed publications in the form of books, book chapters, journal articles and conference papers.
Dr. Adam Wierzbicki, Ph.D. Scientific Advisor
Dr. Adam Wierzbicki, Ph.D., Scientific Advisor
Adam Wierzbicki received his Ph.D. degree from the Warsaw University of Technology and a habilitation title from the Institute of Systems Research of the Polish Academy of Sciences. He is currently a Professor and Vice-President at the Polish-Japanese Institute for Information Technology in Poland.
Adam is an expert in big data, data mining, and machine learning, and has considerable experience in simulation and multi-agent systems. His current research interests focus on social informatics, in particular on credibility, trust management, collective intelligence and fairness in distributed systems. He has published several papers on trust management and on applications of the theory of equity to provide fairness in open distributed systems, and is the author of a Springer book titled Trust and Fairness in Open, Distributed Systems. He is also interested in open collaboration, particularly using Wiki technology, and in Crowdsourcing, with an emphasis on new algorithms for evaluating and managing Crowdsourcing workers. In 2011-2015 Adam headed the Reconcile Project, which developed tools for the evaluation of Web content credibility.
Dr. Reza Bonyadi, Ph.D. Scientific Advisor
Dr. Reza Bonyadi, Ph.D., Scientific Advisor
Reza Bonyadi received his Ph.D. in computer science from the University of Adelaide, where he focused on the theoretical aspects of continuous space optimization algorithms such as stability, convergence, and transformation invariance. During his academic career he published more than 35 articles in top international journals, conferences, and chapter of books in the field of optimization, pattern recognition, and machine learning. He has been involved as a committee member in many international journals and conferences in the field of optimization and machine learning.
Apart from his academic activities, Reza has significant experience in designing software solutions for complex analytical/machine learning problems for large organisations. His expertise lies in designing decision support systems, stochastic simulators, pattern recognition and data clustering algorithms, and trend prediction/learning methods for complex real-world problems.
Dr. Thomas Weise, Ph.D. Scientific Advisor
Dr. Thomas Weise, Ph.D., Scientific Advisor
Thomas Weise received his Ph.D. degree from the University of Kassel and a Diplom-Informatiker from the Chemnitz' University of Technology in Germany. He joined the University of Science and Technology of China (USTC) in 2009 and became Associate Professor in 2011. In 2016, he became Full Professor at Hefei University (HFUU). He is the director of the Institute of Applied Optimization.
Thomas has made significant contributions to the fields of optimization, logistic planning, and Evolutionary Computation, and has authored/co-authored more than 90 publications. He is also the developer of an open source optimization and machine learning benchmarking tool, which mines performance information from large data sets to support researchers and practitioners in developing efficient computational intelligence solutions.
Dr. Carlos Coello, Ph.D. Scientific Advisor
Dr. Carlos Coello, Ph.D., Scientific Advisor
Carlos Coello received his Ph.D. degree in Computer Science from Tulane University in the United States, and is now a Professor at the Computer Science Department of CINVESTAV-IPN (located in Mexico City). His research has focused on the design of new meta-heuristic algorithms and techniques for solving single and multi-objective optimization problems (both constrained and unconstrained). He is also the:
- Associate Editor of the IEEE Transactions on Evolutionary Computation, Applied Soft Computing, Computational Optimization and Applications, Pattern Analysis and Applications and Journal of Heuristics;
- IEEE Fellow; and
- General Chair of the 2013 IEEE Congress on Evolutionary Computation.
Carlos has received several awards, including the 2012 National Medal of Science and Arts in the area of Physical, Mathematical and Natural Sciences (the highest award that a scientist can receive in Mexico) and the prestigious 2013 IEEE Kiyo Tomiyasu Award "for pioneering contributions to single- and multi-objective optimization techniques using bio-inspired meta-heuristics". He has produced/co-authored over 450 refereed publications in the form of books, book chapters, journal articles and conference papers.
Dr. Markus Wagner, Ph.D. Scientific Advisor
Dr. Markus Wagner, Ph.D., Scientific Advisor
Markus Wagner received his Ph.D. degree from the University of Adelaide, and is an active researcher at their Optimisation and Logistics Group. His research interests include heuristic optimisation and software engineering, and he is the recipient of the:
- University Doctoral Research Medal for his work on Theory and Applications of Bio-Inspired Algorithms; and
- Best Paper Award for his work on Evolving Pacing Strategies for Team Pursuit Track Cycling.
Markus has been awarded grants from the Australian Research Council (ARC) and Google Australia, and he is the Founding Chair of the IEEE CIS Task Force on "Computational Intelligence in the Energy Domain" and Chair of IEEE CIS Education Subcommittees. To date, he has co-authored over 50 refereed publications in the form of book chapters, journal articles, and conference papers.
Dr. Masoud Mohammadian, Ph.D. Scientific Advisor
Dr. Masoud Mohammadian, Ph.D., Scientific Advisor
Masoud Mohammadian received his Ph.D. degree from the University of Central Queensland, before joining the University of Canberra in 1998. Besides teaching various undergraduate and graduate courses, his research interests include neural networks, fuzzy logic, evolutionary computing, optimisation, data analytics, and modelling of complex adaptive systems, as well as the application of computational intelligence techniques for learning and adaptation of intelligent agents, and web-based information filtering and data mining. Masoud has successfully completed many industry projects related to real-time data processing, planning, and decision-making.
Masoud has edited over 20 books and conference proceedings in the area of Computational Intelligence and Intelligent Agents, and authored more than 130 peer-reviewed publications in the form of books, book chapters, journal articles and conference papers. He has also chaired and co-chaired over 14 international conferences in the area of Computational Intelligence and Intelligent Agents.
Dr. Mengjie Zhang, Ph.D. Scientific Advisor
Dr. Mengjie Zhang, Ph.D., Scientific Advisor
Mengjie Zhang received his Ph.D. degree from RMIT University, and since 2000, has been teaching a wide range of computer science courses at Victoria University of Wellington in New Zealand. He conducts research related to evolutionary computation, particularly genetic programming and evolutionary computer vision, evolutionary feature selection and big dimensionality reduction and evolutionary scheduling and combinatorial optimisation, as well as data mining and machine learning. He is currently an Associate Editor or an Editorial Board Member for seven international journals, including:
- IEEE Transactions on Evolutionary Computation;
- Evolutionary Computation Journal (MIT Press); and
- Genetic Programming and Evolvable Machines.
Mengjie is also a:
- Senior Member of IEEE;
- Chair of IEEE CIS Evolutionary Computation Technical Committee;
- Vice-Chair of IEEE CIS Task Force on Evolutionary Computer Vision and Image Processing;
- Member of the IEEE Task Force on Evolutionary Feature Selection and Construction;
- Member of the IEEE CIS Intelligent System Applications Technical Committee; and
- Founding Chair of IEEE Chapter on Computational Intelligence in New Zealand.
To date, Mengjie has produced/co-authored over 350 refereed publications in the form of book chapters, journal articles and conference papers.
Dr. Zbigniew Raś, Ph.D. Scientific Advisor
Dr. Zbigniew Raś, Ph.D., Scientific Advisor
Zbigniew Ras received his Ph.D. degree from the University of Warsaw in Poland, and his D.Sc. degree from the Institute of Computer Science at the Polish Academy of Sciences. He was also awarded the National Professorship title by the President of Poland, and is currently a Professor of computer science at the University of North Carolina in Charlotte.
Zbigniew’s areas of specialization include knowledge discovery, recommendation systems, health informatics, active knowledge mining, music information retrieval, flexible query answering, and sentiment analysis, and he currently serves as the:
- Editor-in-Chief of the Journal of Intelligent Information Systems (Springer);
- Editor-in Chief of the International Journal of Social Network Mining (IJSNM);
- Senior Editor of International Journal of Data Mining, Modelling and Management (InderScience Publishers); and
- Member of Editorial Board of Fundamenta Informaticae Journal (IOS Press).
Zbigniew is the author of more than 300 publications and the editor of more than 40 books published by Springer and North Holland. He has received many awards including the Harshini V. de Silva Graduate Mentor Award, the COIT Graduate Faculty Excellence in Teaching Award, and the Alcoa Foundation Outstanding Faculty Award. Zbigniew has also received numerous competitive grants and industry contracts, and has graduated 15 PhD students.
Dr. A.E. Eiben, Ph.D. Scientific Advisor
Dr. A.E. Eiben, Ph.D., Scientific Advisor
A.E. Eiben received his Ph.D. degree from the Eindhoven University of Technology in the Netherlands. He is one of Europe’s “early birds” of Evolutionary Computing, with his first paper dating back to 1989. Since then, he’s became one of Europe’s leading Evolutionary Computing researchers, actively pursuing research related to evolutionary operators, constraint handling, parameter calibration, and most recently evolutionary robotics.
A.E. Eiben has published over 200 research papers, and co-authored the first comprehensive book on evolutionary computing (Introduction to Evolutionary Computing published by Springer). He has been an organizing committee member of practically all major international evolutionary conferences (CEC, EP, EuroGP, EvoStar, FOGA, GECCO, PPSN), and is the specialty Chief Editor of Evolutionary Robotics for Frontiers Journal on Robotics and Artificial Intelligence. His other appointments include:
- Editorial Board Member of five international journals (including JEC, IEEE TEC, GPEH);
- Series Editor for Springer’s book series on Natural Computing;
- Steering Committee Member for the Parallel Problem Solving from Nature (PPSN) conference series; and
- Advisor and Proposal Evaluator for the European Commission’s IST funding program.
Dr. Ernesto Costa, Ph.D. Scientific Advisor
Dr. Ernesto Costa, Ph.D., Scientific Advisor
Ernesto Costa received his Ph.D. degree from the University of Coimbra in Portugal, where he currently serves as Professor at the Department of Informatics Engineering. Besides teaching, Ernesto has been doing research in the areas of evolutionary computation, artificial life, complex systems, machine learning, cognition and computational biology. He is currently the Associate Editor of the International Journal of Natural Computing Research, and was the recipient of the 2009 EvoStar Award for “Outstanding Contributions to the Field of Evolutionary Computation.” Ernesto has organized several international scientific events and has published over 150 refereed publications in books, book chapters, journals and proceedings of conferences. Since December 2012, he is a member of the General Council of the University of Coimbra, a governing board of the university.
Dr. Pablo Moscato, Ph.D. Scientific Advisor
Dr. Pablo Moscato, Ph.D., Scientific Advisor
Pablo Moscato is an Australian Research Council Future Fellow (2012-16) and a Professor of Computer Science at The University of Newcastle. At the California Institute of Technology (1988-89) he developed a methodology called memetic algorithms, which is now widely used around the world in Artificial Intelligence, Data Science, and Business and Consumer Analytics. Pablo is Founding Director of the Priority Research Centre for Bioinformatics, Biomarker Discovery and Information-based Medicine (2007-2015), and the Funding Director of Newcastle Bioinformatics Initiative (2002-2006) of The University of Newcastle. His expertise in Data Science was essential for a large number of applied projects.
Pablo has been working in Applied Mathematics for 30 years, and in heuristic methods for Operations Research problems since 1985. His work and ideas have been highly influential in a large number of scientific and technological fields and his manuscripts have been widely cited. The journal "Memetic Computing" is largely dedicated to a methodology he championed. Every 48 hours a new published paper describes a novel application of these techniques. Due this work and his other contributions in the areas of classification and machine learning, Pablo Moscato is very well-respected in the global academia and industry and has become one of Australia's most cited and influential computer scientists.
Dr. Vic Ciesielski, Ph.D. Scientific Advisor
Dr. Vic Ciesielski, Ph.D., Scientific Advisor
Vic Ciesielski received his Ph.D. from Rutgers University in New Jersey. He is currently an Associate Professor in the School of Computer Science and Information Technology at RMIT University where he heads the Evolutionary Computation and Machine Learning Group. His research interests include genetic programming, data mining, evolutionary computer vision, deep learning and evolutionary art.
Vic has a record of successful application of Artificial Intelligence techniques to industrial problems. He has provided the scientific direction for over 20 industry projects of various sizes, which have involved the application of Artificial Intelligence techniques. These include an insurance underwriting system based on expert system technologies, an obstacle avoidance system for autonomous mining vehicles operating in tunnels, which uses machine learning and computer vision techniques, and a malt quality analysis system based on machine learning and texture analysis. Most recently he is responsible for the data mining behind the realas.com.au house price prediction app.
Dr. Łukasz Brocki, Ph.D. Scientific Advisor
Dr. Łukasz Brocki, Ph.D., Scientific Advisor
Łukasz Brocki received his Ph.D. degree from the Polish-Japanese Academy of Information Technology. His research was focused on using recurrent neural networks for acoustic and language modeling for speech recognition. Łukasz took part in several European scientific projects including Luna, EU-Bridge or Clarin. His current research interests focus on deep learning, stacked LSTM neural networks, extreme learning machines and evolutionary computation. He has published several papers on using neural networks in language technology and prediction tasks.
Łukasz gathered experience while working in IBM Deutschland Entwicklung GmbH, Voice Department, where he was a member of international group working with the world's longest commercially developed speech recognition system – IBM ViaVoice. Łukasz founded Primespeech, the first Polish company that specializes in developing speech and language technology. Primespeech also produces optimization and prediction software that apply deep learning algorithms. The company's customers include key organizations in Poland such as PZU, City of Warsaw and the Polish Bank Association.
Dr. Longbing Cao, Ph.D. Scientific Advisor
Dr. Longbing Cao, Ph.D., Scientific Advisor
Longbing Cao is a professor of information technology at the University of Technology in Sydney, Australia. As the founding Director of the university’s research institute: Advanced Analytics Institute, he created a few successful showcases that have been widely recognized, such as the only Australian group specially mentioned in the Australian government papers on big data, and the ATO annual reports and OECD reports on taxation analytics. Motivated by focusing on both high quality research and high impact development, he proposed several new concepts and supporting theories and tools, including non-IIDness learning, behaviour informatics, domain-driven data mining, and agent mining. He has also been leading many large analytical projects for the federal and state governments and large businesses in both Australia and China.
Longbing has been a key driver of several global initiatives in data science and analytics. He initiated the globally first research degrees in analytics: PhD Analytics and Master of Analytics (Research) in 2011 at UTS. He is the chair of the IEEE Task Force on Data Science and Advanced Analytics and the IEEE Task Force on Behavioral, Economic, and Socio-cultural Computing, and the chair of the ACM SIGKDD Australia and New Zealand Chapter. He also founded the IEEE International Conference on Data Science and Advanced Analytics, and is the Editor-in-Chief of the International Journal of Data Science and Analytics and the book series editor of the Data Analytics book series with Springer.
Adam Michalewicz Scientist
Adam Michalewicz, Scientist
"Larry will be our digital expert that will enable our sales team and add that technological advantage that our competitors don't have."
CEO, PFD Foods
$1.6 billion in revenue
"Lion is one of Australasia’s largest food and beverage companies, supplying various alcohol products to wholesalers and retailers, and running multiple and frequent trade promotions throughout the year. The creation of promotional plans is a complicated task that requires considerable expertise and effort, and is an area where improved decision-making has the potential to positively impact the sales growth of various Lion products and product categories. Given Complexica’s world-class prediction and optimisation capabilities, award-winning software applications, and significant customer base in the food and alcohol industry, we have selected Complexica as our vendor of choice for trade promotion optimisation."
National Sales Director, Lion
"SodaStream is the world’s largest manufacturer, distributor and marketer of sparkling water making systems, and Australia represents one of our highest growth markets worldwide. As such, we are always seeking ways to stay ahead of growing customer demand to ensure that our products are promptly available in an ever-increasing number of outlets throughout the country. Our products are distributed across a broad set of outlets operating under different business models, ranging from ‘big-box retailers’ to small convenience stores. This affects our ability to influence range, share-of-shelf, and stock holdings at the store level, and also adds complexity to our retail execution and field sales model. Given the rise of Artificial Intelligence and prescriptive analytics in recent times, we have partnered with Complexica to help us automatically predict the ‘next best stores’ to visit at any given time, provide each rep with the 'next best conversations' for each store, and dynamically optimise individual call plans."
"Following a successful proof-of-concept earlier this year, we have selected Complexica as our vendor of choice for standardizing and optimising our promotional planning activities. Complexica’s Promotional Campaign Manager will provide us with a cloud-based platform for automating and optimising promotional planning for more than 2,700 stores, leading to improved decision-making, promotional effectiveness, and financial outcomes for our retail stores."
Interim CEO, Australian Liquor Marketers
$3.4 billion in revenue
"After evaluating a number of software applications and vendors available on the market, we have decided to partner with Complexica for sales force optimisation and automation. We have found Complexica’s applications to be best suited for our extensive SKU range and large set of customers, being capable of generating recommendations and insights without burdening our sales staff with endless data analysis and interpretation.
Managing Director, Polyaire
"DuluxGroup is pleased to expand its relationship with Complexica, a valued strategic partner and supplier to our business. Complexica’s software will enable DuluxGroup to reduce the amount of time required to generate usable insights, increase our campaign automation capability, personalise our communications based on core metrics, and close the loop on sales results to optimise ongoing digital marketing activity."
Group Head of CRM, DuluxGroup
"Instead of hiring hundreds of data scientists to churn through endless sets of data to provide PFD with customer-specific insights and personalised recommendations, Larry, the Digital Analyst® will serve up the answers we need, when we need them, on a fully automated basis without the time and manual processes typically associated with complex analytical tasks.”
CIO, PFD Foods
$1.6 billion in revenue
"As a global innovator in the wine industry, Pernod Ricard Winemakers is always seeking ways to gain efficiencies and best practices across our operational sites. Given the rise of Artificial Intelligence and big data analytics in recent times, we have engaged Complexica to explore how we can achieve a best-in-class wine supply chain using their cloud-based software applications. The engagement is focused on Australia & New Zealand, with a view to expand globally."
Global Operations Director, Pernod Ricard Winemakers
"70% - 80% of what we do is about promotional activity, promotional pricing -- essentially what we take to the marketplace. This is one of the most comprehensive, most complex, one of the most difficult aspect of our business to get right. With Complexica, we will be best in class - there will not be anybody in the market that can perform this task more effectively or more efficiently than we can."
CEO, Liquor Marketing Group
1,400+ retail stores
"The key thing that makes such a difference in working with Complexica is their focus on delivering the business benefits and outcomes of the project."
CEO, Liquor Marketing Group
1,400+ retail stores
"Australia needs smart technology and people, and it has been a great experience for me to observe Complexica co-founders Zbigniew and Matt Michalewicz assemble great teams of people using their mathematical, logic, programming, and business skills to create world-beating products. They are leaders in taking our bright graduates and forging them into the businesses of the future."
Chairman of the Board, SA Water
"Having known the team behind Complexica for some years ago now, I am struck by their ability to make the complex simple - to use data and all its possibilities for useful purpose. They bring real intelligence to AI and have an commercial approach to its application."
Managing Director, Fairfax Media - Digital
"I have worked with the team at Complexica for a number of years and have found them professional, innovative and have appreciated their partnership approach to delivering solutions to complex problems."
“Working with Complexica to deliver Project Automate has been a true partnership from the initial stages of analysis of LMG’s existing processes and data handling, through scoping and development phase and onto delivery and process change adoption. The Complexica team have delivered considerable value at each stage and will continue to be a valued partner to LMG."
CFO, Liquor Marketing Group
“Complexica’s Order Management System and Larry, the Digital Analyst will provide more than 300 Bunzl account managers with real-time analytics and insights, to empower decision making and enhanced support. This will create more time for our teams to enable them to see more customers each day and provide the Bunzl personalised experience.”
CEO, Bunzl Australasia
"The team behind Complexica develops software products that are at the cutting edge of science and technology, always focused on the opportunities to deliver a decisive competitive edge to business. It has always been a great experience collaborating with Matthew, Zbigniew and Co."
GM Demand Chain, Roy Hill Iron Ore
"The innovations that the Complexica team are capable of continue to amaze me. They look at problems from the client side and use a unique approach to collaborating with and deeply understanding their customers challenges. This uniquely differentiates what they bring to market and how they deliver value to customers."
CIO, Toll Group
"Rather than building out an internal analytics team to investigate and analyse countless data sets, we have partnered with Complexica to provide our sales reps with the answers they need, when they need them, on a fully automated basis. We are excited about the benefits that Larry, the Digital Analyst will deliver to our business.”
CEO, Coventry Group
“Complexica’s Order Management System and Larry, the Digital Analyst will provide more than 300 Bunzl account managers with real-time analytics and insights, to empower decision making and enhanced support. This will create more time for our teams to enable them to see more customers each day and provide the Bunzl personalised experience.”
CEO, Bunzl Australasia
"As the leading brand of plasterboard in Australia, CSR is always seeking ways to provide a better customer experience and solidifying the Trade Centres' reputation for providing quality, value and local expert advice. Given the rise of Artificial Intelligence and big data analytics in recent times, we have engaged Complexica to explore how we can provide the Gyprock Trade Centre team with predictive insights on sales and customers, as well as optimised recommendations that are store and customer-specific, rather than endless reporting that needs to be analysed and interpreted."
Regional General Manager, CSR
"After an evaluation process and successful proof-of-concept in 2016, we have chosen to partner with Complexica to upgrade the technological capability of our in-field sales force. The next-generation Customer Opportunity Profiler provided by Complexica will serve as a key tool for sales staff to optimise their daily activities, personalise conversations and interactions with customers, and analyse data to generate actionable insights."
Group Sales Capability Manager, DuluxGroup
$1.7 billion in revenue
"After evaluating a number of software systems available in the marketplace, we have ultimately selected Complexica as our vendor of choice for sales force automation and CRM. Given the large SKU range we carry and very long tail of customers we serve, Complexica’s applications are best suited to deal with this inherent complexity without burdening our staff with endless data entry."
CEO, Haircaire Australia
Australia's largest distributor of haircare products