Victor Akinwande


Doctoral Student, Carnegie Mellon University Computer Science Department

Prev: Research Engineer,
IBM Research | Africa

Email: aknvictor [at] gmail [dot] com
Office: GHC 5003

CV
GitHub
Google Scholar

Education

Carnegie Mellon University August 2021 – Present
PhD Computer Science

Carnegie Mellon University August 2016 – May 2018
MSc Information Technology

University of Ilorin September 2011 – August 2015
BSc Computer Science

Research

My research primarily focuses on how to develop Trustworthy Artificial Intelligence (AI). AI is increasingly being embedded into the fabric of society as a decision making tool; as such, ensuring that it aligns to our values, it is reliable and safe is pertinent. I develop algorithms to ensure robustness of deep learning models for example, being able to detect when such models are processing adversarial inputs. I also work on techniques for explainability/fairness of machine learning models for example, being able to characterise subgroups of a population that may be adversely affected by a predictive model. Lastly, I investigate how to reliably draw causal conclusions from observational data in global health.


Publications

C8. Celia Cintas, Payel Das, Brian Quanz, Skyler Speakman, Victor Akinwande, Pin-Yu Chen. Towards creativity characterization of generative models via group-based subset scanning. In: Workshop on Synthetic Data Generation, ICLR, 2021. [PDF]

C7. Victor Akinwande, Celia Cintas, Skyler Speakman, Srihari Sridharan. Identifying Audio Adversarial Examples via Anomalous Pattern Detection. In: Workshop on Adversarial Learning Methods for Machine Learning and Data Mining, KDD, 2020. [PDF]

C6. Celia Cintas, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan, Edward McFowland. Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error. In: IJCAI, 2020. [PDF]

C5. William Ogallo, Skyler Speakman, Victor Akinwande, Kush R Varshney, Aisha Walcott-Bryant, Charity Wayua, Komminist Weldemariam. Inspection of Blackbox Models for Evaluating Vulnerability in Maternal, Newborn, and Child Health. In: IJCAI, 2020 Demo Track. [PDF]

C4. Celia Cintas, Ramya Raghavendra, Victor Akinwande, Aisha Walcott-Bryant, Charity Wayua, Komminist Weldemariam. Decision Platform for Pattern Discovery and Causal Effect Estimation in Contraceptive Discontinuation. In: IJCAI, 2020 Demo Track. [PDF]

C3. William Ogallo, Skyler Speakman, Victor Akinwande, Kush R Varshney, Aisha Walcott-Bryant, Charity Wayua, Komminist Weldemariam, Claire-Helene Mershon, Nosa Orobaton. Identifying Factors Associated with Neonatal Mortality in Sub-Saharan Africa using Machine Learning. In: AMIA, 2020. [PDF]

C2. Celia Cintas, William Ogallo, Aisha Walcott, Sekou L Remy, Victor Akinwande, Samuel Osebe. Towards neural abstractive clinical trial text summarization with sequence to sequence models. In: ICHI, 2019. [PDF]

A2. Victor Akinwande, Sekou L Remy. Characterizing the hyper-parameter space of LSTM language models for mixed context applications. In: ArXiv, 2017. [PDF]

A1. Victor Akinwande. Security assessment of blockchain-as-a-service (BaaS) platforms. 2017. [PDF]

J1. Olayiwola Bello, Victor Akinwande, Oluwatoyosi Jolayemi, Ahmed Ibrahim. Open data portals in Africa: an analysis of open government data initiatives. In: African journal of library, archives & information science, 26(2):97, 2016. [PDF]

C1. Victor Akinwande, Kayode Adewole, Olayiwola Bello, Abimbola Akintola. Automatic and real-time pothole detection and traffic monitoring system using smartphone technology. In: International Conference on Computer Science Research and Innovations (CoSRI), 2015. [PDF]

C2. Copyright 2019 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
A1. Copyright 2017 Victor Akinwande, Sekou L Remy. This Open Access article is distributed under the terms of the Creative Commons License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.
A2. Copyright 2017 Victor Akinwande. This Open Access article is distributed under the terms of the Creative Commons License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.
J1. Copyright 2016 Olayiwola Bello, Victor Akinwande, Oluwatoyosi Jolayemi, Ahmed Ibrahim. This Open Access article is distributed under the terms of the Creative Commons License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.
C1. Copyright 2015 Victor Akinwande, Kayode Adewole, Olayiwola Bello, Abimbola Akintola. This Open Access article is distributed under the terms of the Creative Commons License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.


Thanks to Ali Siahkoohi for the template!