To rejoice Worldwide Girls’s Day, we have a look again over the previous yr and spotlight a number of the ladies we’ve interviewed, written about, chatted to, and featured on AIhub.
Rose Nakasi is a Lecturer of Laptop Science and a Analysis Scientist on the Makerere Synthetic Intelligence Lab, in Makerere College, Uganda. She holds a PhD in Laptop Science from Makerere College. Her analysis pursuits are in synthetic intelligence and knowledge science, and significantly in using these for growing improved automated instruments and methods for microscopy analysis of ailments like malaria in low-resourced however extremely endemic settings.
We spoke to Rose Nakasi about her work growing machine studying methods to help analysis of microscopically identified ailments: Interview with Rose Nakasi: utilizing machine studying and smartphones to assist diagnose malaria.
Lily Xu is a PhD scholar in pc science at Harvard College. Her analysis focuses on advancing AI strategies in machine studying and sport concept to handle environmental challenges, significantly wildlife conservation by poaching prevention. She is a co-organiser of the Mechanism Design for Social Good (MD4SG) analysis initiative, and serves as AI Lead for the SMART Partnership, serving to to construct computational and analysis options for efficient conservation administration.
We chatted to Lily as a part of our New voices in AI sequence, and you may watch the interview right here: New voices in AI: environmental conservation with Lily Xu.
Additionally, see our earlier (2021) written interview with Lily about her work right here: Interview with Lily Xu – making use of machine studying to the prevention of unlawful wildlife poaching.
Maria De-Arteaga is an Assistant Professor on the College of Texas at Austin. She holds a joint PhD in Machine Studying and Public Coverage from Carnegie Mellon College’s Machine Studying Division and Heinz School. Her analysis is concentrated on algorithmic equity and human-AI complementarity. She characterizes how societal biases encoded in historic knowledge could also be reproduced and amplified by ML fashions, and develops algorithms to mitigate these dangers.
Maria spoke to us as a part of our New voices in AI sequence: New voices in AI: Maria De-Arteaga.
Alessandra Rossi is Assistant Professor on the College of Naples Federico II, Italy. She can be a visiting lecturer on the College of Hertfordshire, UK, the place she additionally obtained her PhD. Alessandra has been the crew chief of the RoboCup crew “Daring Hearts” since 2019, and he or she has been a technical and organising committee member of the Humanoid League since 2021, and he or she co-organised the 2022 RoboCup Humanoid league digital season. Her analysis pursuits embody human–(multi) robotic interplay, social robotics, belief, concept of thoughts, multi-agent methods and person profiling.
Discover out extra about Alessandra’s involvement with the digital RoboCup Humanoid league on this interview: Interview with Alessandra Rossi: an perception into the RoboCup digital humanoid league.
Srija Chakraborty is an Affiliate Scientist on the Universities Area Analysis Affiliation (USRA) working with NASA’s Black Marble Science Staff to tailor machine studying algorithms for learning the Earth at night time utilizing satellite tv for pc observations. Previous to this she was a NASA Postdoctoral Fellow at Goddard Area Flight Heart and USRA. She obtained her PhD from Arizona State College. Her analysis pursuits concern making use of machine studying advances to remotely-sensed Earth and Area datasets and extensions to different scientific functions.
Interviewed as a part of our New voices in AI sequence, discover out what Srija needed to say about making use of machine studying to know to Earth higher: New voices in AI: machine studying insights on Earth’s nightlights with Srija Chakraborty.
Virginie Do is a PhD candidate in Laptop Science at Université Paris Dauphine–PSL in France, and a resident at Meta AI. Her analysis is on equity in machine studying and social selection concept, with a particular deal with rating and recommender methods, and on-line algorithms. She holds a MSc and BSc in Utilized Arithmetic from Ecole Polytechnique, France, and a MSc in Social Knowledge Science from the College of Oxford, UK.
Virginie gained the AAAI 2022 excellent paper award, and on this interview, she advised us extra about this award-winning work: Interview with Virginie Do – #AAAI2022 excellent paper award winner.
Oumaima Hajri is a researcher and lecturer at Rotterdam College of Utilized Sciences, the place her analysis primarily focuses on accountable AI. She can be learning for a Grasp of Research in AI ethics and society on the College of Cambridge. Oumaima co-founded a platform known as AI Higher World the place the intention is to offer individuals with extra data about AI and to attempt to demystify the expertise.
Oumaima spoke about her analysis, and the way she received into AI, right here: New voices in AI: moral AI with Oumaima Hajri.
Olga Vechtomova is a Professor within the School of Engineering on the College of Waterloo. Her analysis is principally targeted on designing deep neural networks for pure language technology. Present and up to date tasks embody managed textual content technology, textual content type switch and inventive functions of textual content generative fashions. She composes and data digital music.
On this weblog publish, Olga (and colleague Gaurav Sahu) write about LyricJam, a system that makes use of AI to create a real-time generative stream of music primarily based on an artist’s personal catalogue of studio recordings: AI system for stay music accompaniment and improvisation.
Brandeis Marshall is founder and CEO of DataedX Group, a social impression enterprise that gives studying and growth actions on recognizing algorithmic harms and humanizing knowledge practices for knowledge educators, students and practitioners. She can be Full Professor of Laptop Science at Spelman School. She holds a PhD from Rensselaer Polytechnic Institute. She lately printed a ebook titled: “Knowledge Conscience: Algorithmic Siege on our Humanity”.
Within the first episode of the GRACE podcast, Brandeis talked to Harriett Jernigan about her analysis, and way more: GRACE Podcast: Dr Harriett Jernigan interviews Dr Brandeis Marshall.
Isabel Cachola is a PhD scholar learning Laptop Science on the Johns Hopkins Heart for Language and Speech Processing. Beforehand she was a Pre-Doctoral Younger Investigator on the Allen Institute for AI on the Semantic Scholar crew. She is initially from Texas and accomplished her BSc in Arithmetic on the College of Texas at Austin. Her analysis pursuits are in Pure Language Processing, particularly, textual content technology, summarization, query answering, language modelling, pure language understanding, and computational social science.
We chatted to Isabel about her work as a part of our New voices in AI sequence: New voices in AI: Isabel Cachola
Jasmina Gajcin is a PhD scholar at Trinity School Dublin. Her analysis focuses on explainability for reinforcement studying brokers and particularly on growing counterfactual explanations. Apart from analysis, she enjoys instructing and serves as a tutor in Scholar Eire and CodePlus packages for selling pc science careers to secondary college college students.
We interviewed Jasmina about work carried out with Ivana Dusparic into counterfactual explanations and a number of the challenges of implementing them in reinforcement studying settings: Counterfactual explanations for reinforcement studying: interview with Jasmina Gajcin.
Angelie Kraft has an interdisciplinary background in Psychology and Laptop Science. She is at the moment a doctoral scholar on the Semantic Techniques group at Universität Hamburg, the place she researches pure language processing and knowledge-driven applied sciences with a deal with bias and equity features.
Angelie advised us in regards to the findings from her latest analysis on bias in data graphs: The lifecycle of “details”: a survey of social bias in data graphs – interview with Angelie Kraft.
Abeba Birhane is a Senior Fellow in Reliable AI at Mozilla Basis. She can be an Adjunct Lecturer/Assistant Professor on the College of Laptop Science at College School Dublin, Eire. She holds a PhD from College School Dublin. Abeba is an interdisciplinary researcher and her analysis pursuits sit on the intersection of cognitive science, AI, complicated science, and theories of decoloniality.
On this episode of The Good Robotic Podcast, Abeba talks about altering pc cultures: The Good Robotic Podcast: that includes Abeba Birhane.
Seyi Akiwowo is the founder and CEO of Glitch, a charity that’s been on a mission to finish on-line abuse by making digital residents of us all since 2017. Seyi can be an creator, a marketing consultant and author throughout the political and expertise area, and a former TED speaker. Final yr, she printed a ebook entitled: “Easy methods to Keep Secure On-line: A digital self-care toolkit for growing resilience and allyship”
On this episode of The Radical AI Podcast, Seyi chats to hosts Dylan and Jess about staying secure on-line: Radical AI podcast: that includes Seyi Akiwowo.
Tanja Katharina Kaiser is a postdoctoral researcher on the College Konstanz, Germany, within the Cyber-Bodily Techniques Group. She is an affiliate member of the Centre for the Superior Research of Collective Behaviour. She holds a PhD from College of Lübeck, Germany. Her analysis focus is on evolutionary swarm robotics, however she can be curious about swarm intelligence and bio-inspired robotics typically.
Tanja advised us about her analysis on swarm robotics on this interview: New voices in AI: Tanja Kaiser.
Anna Belardinelli is Principal Scientist on the Honda Analysis Institute Europe. She holds a MSc and a PhD in Laptop Engineering, and a German Habilitation in Cognitive Science. Her analysis pursuits span themes in human-robot interplay, synthetic intelligence, and cognitive science.
Anna wrote about her work on teleoperation, the place she launched an intention estimation mannequin that depends on each gaze and movement options: Estimating manipulation intentions to ease teleoperation.
Nakeema Stefflbauer is a tech product chief, operator, founder and enterprise companion with a deal with scalable impression tech and AI-driven companies that clear up actual environmental, social and governance issues. She holds MA and PhD levels from Harvard College, a BA from Brown College, and an government MBA from the disruptive Quantic College of Enterprise and Expertise.
Nakeema was a visitor on the GRACE podcast, hosted by Harriett Jernigan: GRACE Podcast: Dr Harriett Jernigan interviews Dr Nakeema Stefflbauer.
Gabriella Pizzuto is a senior researcher in robotics and utilized machine studying working on the College of Liverpool. She holds a PhD in Laptop Science from the College of Manchester. Her analysis pursuits lie on the intersection of robotic studying and management, specializing in generalisation and secure human-robot collaboration. She is obsessed with deploying algorithms to regulate the dynamic behaviour of robots with the aim of transferring nearer to robots that may adapt in real-world environments.
On this weblog publish, Gabriella writes about her analysis on robotic ability studying in a laboratory setting: Accelerating laboratory automation by robotic ability studying.
Lucy Smith
, Managing Editor for AIhub.
