Members
Primary Members
Maia Angelova Turkedjieva (Director)
Professor of Data Analytics and Machine Learning
Professor Maia Angelova received her PhD from the University of Sofia. Before she came to Deakin University, she has worked as Assistant Professor at the Faculty of Physics, the University of Sofia, Lecturer in Physics in Somerville College, University of Oxford and joined the Department of Mathematics at Northumbria University, in the United Kingdom in 1997 where she became a Professor in 2004. Her research interests lie in biomathematics and mathematical physics.
Chandan Karmakar (Deputy Director)
Senior Lecturer of Computer Science
Gang Li
Professor of Info Technology
Gang Li, IEEE senior member, received his Ph.D. in computer science in 2005. He joined the School of Information Technology at Deakin University (Australia) as an associate lecturer (2004-2006), lecturer (2007-2011), senior lecturer (2012-2016). His research interests are in the area of data mining, machine learning, business intelligence, tourism/hospitality management and decision support systems. He serves on the IEEE Data Mining and Big Data Analytics Technical Committee (Vice-chair 2017-2019), IEEE Enterprise Information Systems Technical Committee, IEEE Enterprise Architecture and Engineering Technical Committee, and act as chair for IEEE Task Force on Educational Data Mining (2020-2023), and an associate editor for Journal of Information & Knowledge Management (World Scientific), Journal of Travel Research (Sage, A*), Decision Support Systems (Elsevier, A*), Interlending & Document Supply (Emerald), and IEEE Access (IEEE), Human-Centric Computing and Information Sciences (Springer).
Sutharshan Rajasegarar
Senior Lecturer of Computer Science
Dr Sutharshan Rajasegarar received his PhD from the University of Melbourne, Australia, in 2009. He is currently a senior lecturer with the School of Information Technology, Deakin University, Melbourne, Australia. His research interests include anomaly/outlier detection, machine learning, sports and health analytics, computer vision, Artificial Intelligence (AI), wireless communications, cybersecurity, and Internet of Things (IoT).
Ye Zhu
Senior Lecturer of Computer Science
Dr Ye Zhu got his PhD in Machine Learning and Data Mining with a Mollie Holman Medal for the best doctoral thesis of the year from Monash University in 2017. He achieved his M.Sc. in Computing at Imperial College London, UK. His research works focus on the fields of data mining and machine learning. Particular topics include clustering analysis, anomaly detection, similarity learning and their applications for pattern recognition and information retrieval. Most research outcomes have been published in top-tier conferences and journals, including SIGKDD, PAKDD, AAAI, Artificial Intelligence Journal, Pattern Recognition Journal and Machine Learning Journal. He is an IEEE Senior Member and ACM Member.
Ria Rushin Joseph
Lecturer in emerging technology and quantum computing
Dr Ria Rushin Joseph received her PhD from the Swinburne University of Science and technology. Before she came to Deakin University, she has worked as postdoctoral researcher at the FSET, Swinburne University. She was the university topper in her bachelor’s degree in Physics by securing 98% marks. She was also the recipient of the prestigious Victoria India doctoral scholarship. Her research interests lie in Quantum computing, stochastic differential calculus and Quantum optics.
Anuroop Gaddam
Lecturer of IT Management
Dr Anuroop Gaddam is currently a lecturer in the School of Information Technology, Deakin University, Australia. He received a PhD degree in Electronics, Information & Communication Engineering from Massey University, New Zealand in 2012. His research on developing a Wireless Sensor Network based Smart Home for Elder-Care won multiple international awards. He has extensive research experience in the analysis of Internet of Things (IoT) spatial-temporal data, Sensor Fault/Outlier detection, IoT based Technologies for Health Monitoring, Health Informatics, Designing & Developing Smart Sensors, Embedded Systems and Wireless Sensor Networks, Smart IoT Monitoring System for precision agriculture, environmental monitoring with Predictive Analysis.
Secondary Members
Dr Ming Liu
Dr Jan Carlo Barca
Dr Sunil Aryal
A/Prof Jianxin Li
Dr Sergey Polyakovsky
Dr Chatu Rikia Ranaweera
Dr Rasul Esmaeilbeigi
Dr Imali Dias
Dr Mohamed Reda Bouadjenek
