THEIA: THE visIon and Analytics lab

Welcome to the THEIA: THE visIon and Analytics lab. The THEIA lab is based in the School of Computer Science, University College Dublin. Our group’s research is funded by University College Dublin and the ADAPT SFI Research Centre.


Our research interests are in the area of computer vision, image processing, and remote sensing. We use techniques from statistical machine learning and deep learning, to solve interdisciplinary computational problems in various fields of digital multimedia, atmospheric research, and solar and renewable energy.


We always look for hard-working PhD students and self-motivated postdoctoral researchers to join us, contact us for more details.

Academic Leader

Soumyabrata DEV is an Assistant Professor in the School of Computer Science, University College Dublin (UCD), since Fall 2019 session.

Research Leads

Murhaf HOSSARI is an AI Architect in ADAPT Centre, Trinity College Dublin. His main interests and expertise are in Natural Language Processing, Machine Learning and Deep Learning. Prior to ADAPT Centre, Murhaf worked in Apple Inc. for 5 years. He won the 2018 DatSci award for Best Contribution to Data Science from Academic Research Body.

Fabrizio ORLANDI is a Research Fellow at ADAPT Centre, Trinity College Dublin. His research interests are focused on Knowledge Graphs, Semantic Web, Web of Data, Knowledge Representation and the application of semantic technologies to different domains, such as Social Media, Personalisation and Open Government Data.

PhD Students

Mahmoud Said ELSAYED received the B.E. degree in electronics and communication engineering from Zagazig University, Egypt in 2007, the M.E. degree in Information Security from Nile University, Egypt, in 2018. He has worked for ten years in the industry through Huawei and IBM Co. in the area of computer network and security. He is currently pursuing the Ph.D. degree at the School of Computer Science, UCD Dublin, with Dr. Anca Jurcut. His research interests involve computer networks, network security, deep learning, and cloud computing.

Undergraduate Students

Conor MEEGAN is a final year undergraduate student in the School of Computer Science, University College Dublin (UCD). His main areas of interest include Machine Learning, Deep Learning and Software Engineering.

Alumni

  • Ankur Patil, NCI MSc, AY 2018-19
  • Jyotsna Patel, NCI MSc, AY 2018-19
  • Chidozie Shamrock Nwosu, NCI MSc, AY 2018-19
  • Sharon Chia, NTU FYP 2016-17 (Supervised by A/P Lee Yee Hui and Dr. Stefan Winkler)
  • Joanne Lim, NTU FYP 2016-17 (Supervised by A/P Lee Yee Hui and Dr. Stefan Winkler)
  • Chong Kai, NTU FYP 2016-17 (Supervised by A/P Lee Yee Hui and Dr. Stefan Winkler)
  • Sarah Omer, NTU NRP 2016-17 (Supervised by A/P Lee Yee Hui and Dr. Stefan Winkler)
  • Megan Soo, NTU NRP 2016-17 (Supervised by A/P Lee Yee Hui and Dr. Stefan Winkler)
  • Chen Danning, NTU FYP 2016-17 (Supervised by Prof. Lu Yilong)
  • Wang Jiaqi, NTU FYP 2016-17 (Supervised by Prof. Lu Yilong)
  • Ng Ai Jing Felicia, NTU FYP 2015-16 (Supervised by A/P Lee Yee Hui and Dr. Stefan Winkler)
  • Kristabel Khoo Shi Min, NTU FYP 2015-16 (Supervised by A/P Lee Yee Hui and Dr. Stefan Winkler)
  • Loh Yi Chang, NTU NRP 2015 (Supervised by A/P Lee Yee Hui and Dr. Stefan Winkler)
  • Wong Chee Leong Charles, NTU FYP 2014-15 (Supervised by A/P Lee Yee Hui and Dr. Stefan Winkler)
  • Lim Sze Zheng, NTU FYP 2013-14 (Supervised by A/P Lee Yee Hui and Dr. Stefan Winkler)
  • Guan Zhao Ting, NTU FYP 2012-13 (Supervised by A/P Lee Yee Hui and Dr. Stefan Winkler)
  • Wenqing Fan, NTU NRP 2012-13 (Supervised by A/P Lee Yee Hui and Dr. Stefan Winkler)
Why THEIA

All great research starts with a story. Our group’s name THEIA lab is derived from the Greek goddess Theia, also referred as the Titan goddess of sight (thea), and the bright blue sky (aithre). Also, Theia’s brother is Hyperion, who is a god of the sun. Quite interestingly, our group’s research is focused on computer vision, solar and renewable energy etc. Credits to Murhaf and Fabrizio for this wonderful idea.