Our Faculty

Priyanka Hriday Bhoyar received her master’s degree in computer science and engineering with distinction and a bachelor’s degree in computer engineering from Nagpur University, India. She also holds a postgraduate diploma in data science and engineering from Great Lakes Institute of Management, Bangalore. Before joining DigiPen (Singapore), she worked in the IT industry as a data scientist in sectors such as healthcare and e-commerce. Prior to that, she also worked as an assistant professor in India.

Priyanka’s research interests lie in networking, image processing, and machine learning. She has published research papers in top international journals and conferences. She also received a best faculty award during her academic experience.

Priyanka is passionate about teaching. At DigiPen (Singapore), she teaches Python, data structure, databases, and machine learning.

Dr. Teoh Chong Keat “Christopher” received his Ph.D. in Computer Science from Universiti Teknologi Malaysia. Before joining DigiPen (Singapore), Christopher held various roles in both academia and the industry, including lecturing in colleges in Malaysia. Christopher moved to Singapore in 2019 to pursue a career in data science and information technology.

Christopher’s research interests include metaheuristic algorithms, operations research, machine learning algorithms, and natural language processing. He currently teaches the python programming language, as well as topics related to data algorithms and machine learning. As an instructor, Christopher hopes to inspire his students to reach higher to achieve their full potentials.

Outside the classroom, Christopher is an editorial board member of the Journal of Autonomous Intelligence. To date, he has published nine academic papers related to operations research.

Dr. Sayed Ameenuddin Irfan has a Ph.D. in Science (Applied Mathematics) from Universiti Teknologi Petronas in Malaysia. Upon graduation, he worked at his alma mater as a post-doctoral researcher from 2018 to 2021 before moving to DigiPen (Singapore).

Sayed has done extensive research on the numerical solution for partial differential equations arising from chemical engineering applications and the neural network solutions of partial differential equations. This also includes machine learning applications in the oil, gas, chemical, and sustainable environment industries. He has also published multiple papers on the aforementioned topics in reputed international journals such as the Journal of Controlled Release, IEEE Access, and the Journal of Petroleum Science and Engineering.

Sayed teaches machine learning, deep learning, and applied mathematics. What he enjoys most about being an educator is interacting with, helping, and learning from his students.

Dr. Fong Cheng Weng “Wayne” has a Ph.D. in Computer Science from Universiti Teknologi Malaysia.

Wayne previously taught as a senior lecturer at a university in Malaysia and is passionate about teaching programming. At DigiPen (Singapore), he teaches courses related to Java programming and web development. He enjoys guiding students and hopes to help them enjoy success in their respective learning journeys.

Wayne is also particularly interested in metaheuristic algorithms and operations research. To date, Wayne has published 14 research papers on operations research in reputable journals such as IEEE Transactions on Evolutionary Computation and Information Science.

Dr. Wang Zhiyuan received his Ph.D. in Chemical Engineering, specializing in machine learning and engineering optimization, from National University of Singapore (NUS) in 2024. Previously, he earned his Master of Science in Information Systems from Nanyang Technological University (NTU) in 2020. The study and application of computing algorithms, machine and deep learning, multi-objective optimization, and multi-criteria decision-making to solve practical problems encompass his area of research. These topics are the focus of several of his published papers in prestigious academic journals, and he is the lead author of the textbook Numerical Machine Learning.

At DigiPen (Singapore), Zhiyuan teaches algorithm analysis, Python, data structures and algorithms, mathematics, data analytics, data visualization, machine learning, and deep learning. He is passionate about sharing his knowledge with his students and hopes to continually inspire them.

Before entering academia, Zhiyuan was an engineer at Micron Technology where he developed testing programs using C++ and Python, optimized testing algorithms, and conducted big data analysis.

Outside of teaching and research, Zhiyuan enjoys bodybuilding through dedicated gym workouts.

Tan Siok Hoon Angeline graduated with a BSc in Computer Science in Games Technology (Honours) from Charles Sturt University in Australia in 2008. Her first project involved working on Diva Dancers, which was part of the Diva Girls series released on the Nintendo DS in Europe.

In 2011, she completed her WSQ Diploma in Digital Visual Effects & Animation and was hired by One Animation as its Pipeline Technical Director, working on the International Emmy-Nominated Oddbods and Insectibles.

While furthering her studies in Germany’s Rhine-Waal University of Applied Sciences (Faculty of Technology and Bionics), she was offered the opportunity to help improve the teaching of programming modules by the faculty’s professors while earning her second BSc in Electronics Engineering. She joined the faculty at DigiPen (Singapore) in 2020.

Yu Sijie “Anne” holds a master’s degree in data science from the University of California, Berkeley, and a master’s degree in electrical engineering from the University of Tennessee. She is currently pursuing a Doctor of Technology from Purdue University.

Anne has 15 years of experience working in various technology companies in Silicon Valley such as Cloudera, where she worked on Hadoop ecosystems, and at Google, where she was part of the data science and engineering team. Anne was most recently in Google APAC (Singapore)’s GPay consumer data infrastructure team before joining DigiPen (Singapore).

Anne is particularly interested in disruptive technologies and their applications in fintech. She is passionate about improving blockchain, cryptocurrency, KYC (Know Your Customer) processes, and anti-money laundering based on big data for banks.

As a lecturer, Anne brings many years of experience as a data engineer to the classroom. She has also been recognized as an Associate Adult Educator by the Institute for Adult Learning Singapore.

Anne hopes to enable her students to do their best by honing their theoretical skills and helping them see how they can be applied within the industry. Ultimately, she aims to bridge the gap between what is taught in books and the demands of real work.

Alvin Yeo Hong Hee graduated with a Bachelor of Science in Quantity Surveying from University Tunku Abdul Rahman in 2013 and a Specialist Diploma in Cybersecurity Software Development from DigiPen (Singapore) in 2020.

Prior to joining DigiPen (Singapore), Alvin worked at Attila Cybertech Pte. Ltd. as a cybersecurity consultant. He is passionate about cybersecurity domains, especially in the areas of pentesting, network securities, and open-source intelligence. To keep his skills up to date, Alvin often reads up about these topics in his free time and participates in capture-the-flag computer security competitions whenever he can.

Alvin currently helps to develop content and exercises for the Continuing Education courses at DigiPen (Singapore).

Miko Poh Chin Hong graduated from the University of Western Australia with a Bachelor of Science (Biological Science and Biotechnology).

Prior to joining DigiPen (Singapore), he worked as a research assistant at the National University of Singapore. He enjoys interacting with students and finds joy in seeing them apply what they’ve learned.

Miko currently helps to develop software engineering content and exercises for the Continuing Education courses at DigiPen (Singapore).

Zhang Manman holds a Bachelor of Science in Data Science and Analytics with honors from the National University of Singapore. She also has a second major in economics.

Manman started her career as a part-time data scientist at Goldman Sachs before joining DigiPen (Singapore) in 2023. She enjoys deriving solutions from abstract data and is particularly interested in data processing, exploratory data analysis, machine learning models, and data visualization.

Manman currently helps to develop data analytics content and exercises for the Continuing Education courses at DigiPen (Singapore).