Chinedu Nwoye
AI Research Scientist, BS.c., MS.c.2, Ph.D.
Post-doctoral research fellow at ICube Lab, IHU Strasbourg, University of Strasbourg, France.
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Chinedu Nwoye
Chinedu Innocent Dominic popularly known as CID is an AI scientific researcher at ICube laboratory France, where he began in February 2018 with research focus on developing new deep learning applications in healthcare. He is also a post-doctoral research fellow at CAMMA IHU Strasbourg, where he leads pioneering efforts in Surgical Generative AI. His research interests include Deep Learning, Computer Vision, Machine Learning and their applications in surgical assistive intervention and human-machine cooperation during surgery. His research objectives point towards the future generation intelligent operating room (OR). He is the principal organizer of the MICCAI Endoscopic Vision Biomedical Challenge on CholecTriplet, a groundbreaking initiative that models surgical activities through the lens of surgical action triplet - a representation of (tool-action-anatomy) relationships innovated by his PhD thesis. In addition to his research contributions, Nwoye served as an Area Chair for IPCAI 2024 and is a co-organizer of the NeurIPS workshop on Large Models Meet Surgical Data Science. Currently, Dr. Nwoye also serves as an adjunct lecturer (Enseignant vacataire) at the University of Strasbourg, where he shares his expertise and passion for advancing the field of surgical AI. His leadership and innovative research continue to push the boundaries of what is possible in medical technology.
Education
Academically, he earned a Ph.D. in Computer Vision, Deep Learning, and Medical Robotics from the University of Strasbourg France. His thesis, which won the MSII doctoral thesis prize 2022, focused on the use of deep learning techniques for the recognition and detection of surgical tools and fine-grained activities in endoscopic videos and thereoff providing context-awareness and intraoperative decision support in the operating room. This thesis, which innovated the field of surgical action triplet detection and recognition, was supervised by Prof. Nicolas Padoy (Computer Science, University of Strasbourg, France) and Prof. Didier Mutter (Digestive and Endocrine Surgery, University Hospital of Strasbourg, France), examined and defended before a stellar panel of Prof. Nassir Navab (Computer Scicence, TU Munich, Germany & John Hopkins University, USA), Prof. Stefanie Speidel (Translational Surgical Oncology, NCT Dresden, Germany), and Prof. Raphael Snitzmann (Computer Science, University of Bern, Switzerland).
In 2017, He was among the pioneer students of the CMMRS pre-doctoral program at Saarbrucken, Germany organized by the Cornel University USA, University of Maryland USA and Max-Planck Institute for Software Systems Germany. He obtained his second M.Sc. degree in Artificial Intelligence (with Distinction) from the University of Southampton, United Kingdom. His Master’s thesis focused on the use of machine learning methods for the early diagnosis of skin cancers, conducted in the supervisions of Assoc. Prof. Sasan Mahmood and Prof. Jonathan Hare, and closely in consultations with Prof. Mahesan Niranjan and Prof. Adam Prugel-Bennett.
He also obtained his first M.Sc. and B.Sc. degrees in Computer Science (with First Class Honours) from the the University of Nigeria, Nsukka (UNN). His dissertations at UNN are both focused on the automation of different kinds of service delivery & management systems; supervised by Dr. GAM Ikekeonwu and Prof. (Mrs.) Monica Agu. He is an old boy of Saint Charles Lwanga secondary school and Johnbosco primary school, Onitsha, Anambra State, Nigeria.
Career
In 2022, He started a post-doctoral research at CAMMA: Computational Analysis and Modeling of Medical Activities research group headed by his supervisor Prof. Nicolas Padoy, in a close collaborations with the IHU MixSurg institute, the IRCAD institute and the Strasbourg University Hospitals for medical data and other supports. He also belongs to wider research groups, RDH (Robotics, Data science and Healthcare technologies) and Data Science and Artificial Intelligence (DSAI) in the ICube institute. Part of his job include teaching and supervision at the Univeristy of Strasbourg, France.
He is also a lecturer at the UNN in the department of computer science, where he began as a graduate teaching assistant in 2014. He was a Google ambassador between 2010 – 2012 and founded the Software Developers Club (SDC) and CIDSoft in Nigeria.
Early life
Born to St. Pius Nwoye and Mrs. Mercy Ozonze in Onitsha, Anambra state, Nigeria.
### Family and personal life
Politics
Events and activities
Chinedu Nwoye is the lead organizer of CholecTriplet challenge: an endoscopic vision challenge focusing on the automatic [recognition](https://cholectriplet2021.grand-challenge.org) and [detection](https://cholectriplet2022.grand-challenge.org) of surgical action triplets in laparoscopic videos for more helpful AI assistance during surgery.
Charity foundations
He is a co-founding member of African of Our Dreams Initiative (AODI) where he also doubles as the project coordinator. He is also the principal convener of SETUP mentoring scheme for youth education empowerment in Nigeria.
Award and honours
- Prix de thése, MSII école doctorale, Université dé Strasbourg, 2022
- IPCAI audience choice award on best paper presentation, 2019
- NITDEF postgraduate scholarship, 2015
- Best Graduating Student, Computer Science UNN, 2012
- MTNF award of academic excellence, 2010, 2011
- ETISALAT merit academic scholarship, 2010, 2011
Short books
- Determination: A practical approach for overcoming limitations in life, 2010
- Near Death Experience, 2019