Upcoming-Events Responsible AI & Inclusivity
RAIN in collaboration with RAIL KNUST and GDI Hub UCL UK presents another workshop dubbed Responsible AI and Inclusivity
Date: 27/11/2024
Time: 01:00 PM GMT
Registration: Register Here
Detailed information about the workshop can be found below
Moderator
Prof. Jerry John Kponyo
Prof. Jerry John Kponyo is the Dean of the Quality Assurance and Planning Office of the Kwame Nkrumah University of Science and Technology (KNUST) under the Vice-Chancellor’s Office. He is the former Dean of the Faculty of Electrical and Computer Engineering, KNUST. Prior to becoming Dean of the Faculty of Electrical and Computer Engineering, he was Head of the Electrical Engineering Department. He is the Project Lead of the KNUST Engineering Education Project (KEEP), a 5.5 Million Dollar Africa Center of Excellence (ACE) Impact project sponsored by the World Bank focusing on Digital Development and Energy. He is the Co-Founder of the Responsible AI Network (RAIN) Africa, a collaborative effort between KNUST and TUM Germany. Between 2016 and 2019, he was a visiting professor at ESIGELEC, France, on a staff mobility programme where he taught postgraduate courses in Business Intelligence and conducted research with ESIGELEC staff. He has done extensive research in IoT, intelligent systems and AI. Currently, he leads the Emerging Networks and Technologies Research Laboratory at the Faculty of Electrical and Computer Engineering, KNUST which focuses on digital development technologies research. Prof Kponyo’s PhD research focused on applying AI to solving a traffic problem in Vehicular Ad hoc Networks (VANETs). He has published over 50 articles in refereed Journals and Conference proceedings. He is a member of the Ghana Institution of Engineering. Prof Kponyo is the PI and Scientific Director of the Responsible Artificial Intelligence Lab (RAIL), a 1 Million Canadian Dollar grant sponsored by IDRC and GIZ. He is also PI for the Partner-Afrika Projekt KNUST.
Speakers
Prof. Catherine Holloway
Keynote Speaker
Cathy is the co-founder & Academic Director of the Global Disability Innovation Hub. Cathy leads the Innovation Cluster and the Data and Evidence Cluster of the flagship AT2030 programme, including the imagination and initiation of Innovate Now and the AT Impact Fund. Cathy contributed to the WHO-UNICEF Global Report on Assistive Technology as an author and via membership of the Expert Advisory Panel. Cathy currently sits on the EPSRC Strategic Advisory Team for Healthcare Technology and the WHO Technical Advisory Group for Assistive Technology. Cathy is Prof. Interaction Design & Innovation and the world-leading UCL Interaction Centre, led the design of the MSc Disability Design & Innovation and is co-director of the WHO Collaborating Center on Assistive Technology. Cathy’s team at UCL also develops novel technologies for disabled people in the UK and globally. It is currently investigating the role of future technologies, such as AI, haptics, and mobile phones, in solving major global priorities of poverty and inclusion.
Dr. Justice Owusu Agyeman
Dr. Agyemang is a Lecturer at the Department of Telecommunication Engineering, Kwame Nkrumah University of Science and Technology (KNUST), Ghana. His research interests include the Internet of Things (IoT), Network and Application Security, Blockchain Technology, Artificial Intelligence, Applied Cryptography, Quantum Computing and Information Sciences.
Mrs. Betty Adjei Kponyo
Betty Agyei Kponyo (Mrs.) holds a master’s degree in Disability, Rehabilitation, and Development. She is interested in understanding the psychological and socio-economic impacts of environmental barriers on individuals with disabilities and their caregivers. Betty is passionate about research aimed at identifying effective strategies to mitigate these challenges.
Her postgraduate research focused on the impact of caregiving on the overall well-being of primary caregivers of children with cerebral palsy.
Currently, Betty works as a research fellow with the Assistive Technologies Uptake and Usage Team under the Responsible and Inclusive AI Theme under RAIL at KNUST. She is a dedicated researcher focusing on the intersection of disability studies and socio-economic development in society.
Dr. Emmanuel Ahene
Dr. Emmanuel Ahene is a lecturer in the Department of Computer Science at KNUST, specialising in machine learning and Cybersecurity. Dr. Ahene’s research addresses critical challenges like advancing equal access to Healthcare and Education. As the Principal Investigator for the SignTalk project, he leads efforts in developing deep learning models to improve Ghanaian Sign Language (GSL) communication, facilitating more effective interactions between healthcare professionals and the speech and hearing-impaired community. Dr Ahene’s contributions to secure, human-impactful AI have been recognised through numerous publications in high-impact journals.
Dickson Marfo Fosu
Dickson Marfo Fosu is a dedicated MPhil Research Assistant at the Responsible Artificial Intelligence Lab (RAIL) at Kwame Nkrumah University of Science and Technology (KNUST). His primary focus is on research concerning the application of artificial intelligence for social impact. Currently, he is actively engaged in the Responsible and Inclusive AI theme at RAIL, where he contributes as a team member to projects developing AI-powered assistive technologies for visually impaired and differently-abled persons. He is pursuing an MPhil in Telecommunication Engineering at KNUST, building on his academic foundation with a BSc in the same field.
Beyond his research commitments, he has served as a Teaching Assistant at KNUST. His Huawei Certified Network Associate certification further evidences his technical expertise. He has also demonstrated leadership skills in various capacities, notably chairing the Telecommunications Engineering Students Association Sports Committee at KNUST in 2021.
