• Performance Data Modeling , Athletic Data Analysis

• Multi-Source Data Engineering

• Crisis Data Intelligence

• Clinical Data Science

• AI-Driven Analytics

Hema Latha Krishna Nair is Head of Asia Pacific Centre for Analytics in APU.

She has been working in education since 2008.

She is a seasoned expert in data analytics, research, and consultancy, with a strong track record of leading impactful projects across multiple industries. With extensive experience in disaster management, healthcare, and business intelligence solutions, she has spearheaded groundbreaking initiatives that have been recognized at the national level.

Her work in National Flood Disaster Management was highlighted through the MOE Special Grant for Disaster Management (Flood Mitigation) (2015–2016), where her project was recognized as one among the best by the Ministry of Education. 

She has also contributed to healthcare advancement through the MOE Fundamental Grant (2016–2018), focusing on Nasopharyngeal Cancer Prediction and Treatment Analytics.

Beyond academia and research, Hema has delivered data analytics and business intelligence solutions for leading organizations, including Petronas Malaysia (2020). Her expertise extends to consultancy projects, working with major industry players such as Petronas, Infopro, Sapura Kencana, Lotus Systems, AdvancePact, Malaysian Healthcare Travel Council, Nicol David Organisation, and Squash Racquet Association Malaysia, helping them optimize their data-driven decision-making processes.

Her diverse portfolio showcases her ability to translate complex data into strategic insights, driving innovation and efficiency across multiple sectors. With a passion for harnessing data for societal and business impact, Hema continues to contribute to meaningful and transformative initiatives.

Her current Research focuses on National Sports (Squash) Analytics and building Multi-modal Data pipelines for datawarehouse.

• Analytics & Forecasting Of New Township Development

• Smart City Transformation

Prof Dr Ir Vinesh Thiruchelvam completed his PhD at University Tun Abdul Razak, Malaysia. He is a Professional Engineer with the Board of Engineers Malaysia (BEM), a Chartered Engineer via IET with the Engineering Council of UK and is a Fellow of the Institute of Mechanical Engineers (IMechE-UK). He has managed smart city development international projects in India, Russia, Iran, UAE, Qatar, Saudi Arabia, Oman, and Malaysia for the property sector, ports, oil & gas and power plant industries.

Achievenment

National Engagement

1. Malaysia Ministry of Higher Education (MoHE)
   • Malaysian Qualifications Agency (MQA) – Lead Auditor for Computing (Data Science & ICT)
2. Ministry of Digital (MoD)
   • Malaysia Digital Economic Corporation (MDEC) – Digital Expert Panel (DEP)
3. Ministry of Economy
   • Department of Statistics (DOSM)
     • Working team for NSC 25/TC11 – ISO 560001 (Innovation Management Systems) – Development of Standards Completed in July 2024
     • Working team for NSC 07/TC 17 – MS Development for AI Standards
4. Malaysian Ministry of Energy (PETRA)
   • Khazanah Research Institute
     • Working member of the Digital Technologies Research Roundtable

International Engagement

1. OMILab Berlin, Germany
   • NODE lead (2nd outside EU) – Setting up of Enterprise Modelling Lab
   • Running enterprise modelling training for APU staff & students
   • Sealed University of Vienna collaboration on knowledge exchange & programme reviews

• Predictive Analytics

• Machine Learning

• Deep Learning

• Time Series

• Forecasting

Assoc Prof Dr. Raja Rajeswari Ponnusamy has more than 10 years of experience in education and 3 years in industry especially in banking field and clinical research. She received her Ph.D. in optimization and modeling from University Technology Malaysia and the M.Sc. in Applied Statistics from University Putra. She also received an Enterprise Data Science certification in 2018. Her expertise and research focus in Predictive Analytics, Machine Learning, Deep Learning, Time Series and Forecasting, and Data Analytics. She has experiences as a biostatistician consultant for the Clinical Research Centre in Malaysia and involved in conducting clinical trials, health outcomes, clinical epidemiology and clinical economics research for transplant and neonatal registry. Her research project focuses on deep learning and time series in healthcare. She is also actively contributing for journals publications in reputed peer-reviewed journals and book chapters.

Achievement

Completed Projects

• Development of a model to predict disease activity patterns in paediatric Systemic Lupus Erythematosus (pSLE) among Malaysian children
• Identification of the relationships between neuropathology and the mode, time of onset and type of cognitive impairments in patients with Alzheimer disease.
• Determination of the predictive factors for clinically relevant worsening of daily living, and baseline decline in cognitive function of patients with Alzheimer’s disease using support vector machine.
• Predictive Modeling for Early Intervention of SRCAS Student Performance in Mathematics

Projects Currently Working On

• Computer-Aided Abnormality Detection for Prognosis of Nasopharyngeal Cases using Ensemble-based Learning

• Digital Image Processing

• Meedical Image Processing

• Sustainable Development

• Big Data Analytics

• Fractal Analysis

Dr. V. Sivakumar is currently working as Associate Professor at School of Computing, Faculty of Computing and Engineering Technology in Asia Pacific University, Kuala Lumpur, Malaysia. He had served as Faculty at Senior Positions in Several Public Universities of India, Ethiopia & Libya with over 22 years of Experience. He bagged Gold Medal in his Master’s, and he has done Ph.D. in Computer Science pertaining to the area of Medical Imaging. He is a passionate educator and researcher. His areas of research include Computer Vision for Medical/Healthcare Applications, Machine Learning, Deep Learning, Fractal Analysis and Big Data Analytics. He is one of the proud recipients of 21st Century Knowledge Initiative Award for carrying out INDO-US Collaborative research project in collaboration with University of North Florida. He is an active member of Asia Pacific Center of Analytics, APU.  He is actively contributing for several referred journals as referee and editorial board member. He has got over 45 publications in Scopus, Web of Science and reputed peer-reviewed journals and as book chapters. He has participated and presented his research articles in several International Conferences.

• Visual Analytics

• Dashboards And Data Storytelling

• Business Intelligence

• Machine Learning

Professional academic qualifications in Information Technology and Business Administration with research experience in Telecommunication Data Analytics and Market Research. Skilled in Business Intelligence and Solutions Design for business problems and use cases. Certified in data science by Microsoft, Big Data University, SAS, CFTE and Tableau.  Research member of 2 RDIGs at APU and 1 external grant with XMUM. Mentor student(s) to win prizes for FYP posters and business pitching challenge competitions. Secured a Silver award in the International Invention and Innovative Competition (InIIC) 2020 with her research team and published an e-book chapter. Supervises several Post graduate students in the field of Data Science and Business Analytics and thoroughly enjoys being an educator every day. As an Academic Leader, organizes and leads the team in curriculum enhancement, creating digital learning content, administration, corporate training, and industry collaborations with partner organizations.

Achievements

Mentored an APU team in 2024 – SAS Curiosity Cup Winners (International).

• Data Mining

• Data Warehousing

• Advance Database

• Big Data Analytics

Dr. Murugananthan Velayutham completed  Ph.D in Computer Science, major in Data mining and Data Warehousing from Bharathiar University, Coimbatore, India. He has 20+ years of IT experience, both in academic and industry in India, Nigeria and Malaysia. He has guided and dynamically involved in academic research activities. He has published more than 20+ research papers in reputed International and National Journals which are indexed in Scopus, Web of Science and peer-reviewed journals. He has presented nearly 15+ research papers in International and National Conference proceedings and has published 3 monographs. He has also received best paper award, best presenter award during conferences and has been actively involved in many faculty development and research programs.

• Data Science

• Machine Learning

• Text Mining

• Data Mining

Mafas Raheem is a Senior Lecturer at the Asia Pacific University of Technology & Innovation of Malaysia. He received his bachelor’s degree in Applied Sciences majoring in Computer Science (BSc) in 2007 and a master’s degree in Business Administration (MBA) in 2016. Further, he obtained his master’s degree in Data Science & Business Analytics (MSc) in 2018. Currently, he is pursuing his PhD in computing, specialising in the field of Natural Language Processing/Machine Learning. Since 2009, he has been serving as a senior lecturer in the field of computing and Business IT for both undergraduate and postgraduate courses in Sri Lanka and Malaysia. From 2022, he is serving as a senior lecturer of AI/Data Science at the Asia Pacific University of Technology & Innovation of Malaysia. His current research interests include Natural Language Processing, Machine/Deep Learning and Artificial Intelligence in various domains especially in eCommerce and healthcare.

Achievement

• Member IEEE
  Recognized as a member of the world’s largest technical professional organization dedicated to advancing technology for humanity.

• Certificate of Excellence in Reviewing
  Awarded by the Indian Journal of Science and Technology for outstanding peer-review contributions.

• Most No. of Final Year Project Supervision
  Recognized for supervising the highest number of Final Year Projects (FYP) at APU, presented by the Vice-Chancellor at an official event.

• IARE 2021 Best Academician of the Year
  Awarded at the 3rd International Academic and Research Excellence Awards for outstanding academic contributions (Male – Overseas category).

• Young Researcher Award
  Presented by UJUIR Academic Research Foundation for impactful early-career research achievements.

• Outstanding Graduate Student Teaching Award
  Honored by Analytics India Magazine for excellence in graduate-level teaching.

Firdaus holds the position of Senior Lecturer at APU’s School of Computing and serves as the program leader for the BSc. (Hons) in Computer Science with a Specialism in Data Analytics. His current research focuses on Technology Enhanced Learning, specifically in the areas of Learning Analytics and Gamification in Education.

• Computational Intelligence

• Evolutionary Algorithms

Imran is an associate professor within APU’s School of Computing, and programme leader for the MSc Data Science and Business Analytics programme.  His current research interests lie in the area of computational intelligence, and evolutionary and biologically inspired algorithms, particularly in the area of health.

• Data Analytics

• Data Science

Justin Gilbert Alexius Silvester holds a Master’s degree in Computer Science (Research) from Universiti Malaya, with a focus on advanced computing and data-driven technologies. He is a certified professional in Machine Learning using SAS Viya, SAS Certified Data Scientist Using SAS 9, and Cisco Certified Network Associate (CCNA) Routing and Switching, showcasing strong expertise in data science, analytics, and network systems.

He currently serves as the Assistant Conference Chair at the Global Conference on Computing & Media Technology (GCMT) and has been actively involved in organizing and conducting workshops and talks for prospective students as well as partner universities.

• School Of Computing

Ts. Dr. Law Foong Li is a registered Technology Professional with the Malaysia Board of Technologists (MBOT) and an active member of the Technological Association Malaysia (TAM). Serving as a committee member of the Selangor state chapter of TAM, she actively contributes to initiatives that foster technological advancement and professional growth across the region.

Her research focuses on advancing the field of Artificial Intelligence, with specialized expertise in Natural Language Processing (NLP), Generative AI, and Computer Vision. She is dedicated to developing innovative AI solutions that address real-world challenges, making complex technologies more accessible and impactful across diverse domains.

Current Project

• Sales Call Analysis System
  Leading the development of an advanced NLP-powered plattorm that analyzes sales conversattons to extract acttonable insights, identtfy successful patterns, and provide datadriven coaching recommendattons. This system leverages state-of-the-art language models to understand contextual nuances, senttment, and conversion triggers in customer interacttons.

• E-Career Fair System
  Designing an AI-enhanced virtual recruitment plattorm that opttmizes candidate-employer matching through intelligent resume parsing, skill assessment, and personalized recommendatton algorithms. The system incorporates computer vision for interview analysis and generattve AI for customized career guidance.

• Virtual Counselor
  Creattng an empathettc AI counseling assistant that combines NLP techniques with psychological frameworks to provide supporttve guidance for students. This project focuses on developing ethical AI systems capable of recognizing emottonal cues and delivering appropriate responses while maintaining privacy and security.

• Educational Outreach
  Conducting workshops tailored for secondary school students to introduce fundamental AI concepts through engaging and age-appropriate activities. These hands-on sessions aim to inspire interest in computational thinking and promote AI literacy at an early age. The initiative focuses on demystifying AI technologies and highlighting potential career pathways to nurture the next generation of AI practitioners.

• Vision
  Centered on developing responsible AI systems that enhance human capabilities while upholding principles of transparency, fairness, and accessibility. This approach integrates technical innovation with educational outreach to bridge the gap between advanced AI research and practical applications that generate meaningful societal impact.