Timezone: »

 
Poster Session 2
Asra Aslam · Sowmya Vijayakumar · Heta Gandhi · Mary Adewunmi · You Cheng · Tong Yang · Kristina Ulicna · · Weiwei Zong · Narmada Naik · Akshata Tiwari · Ambreen Hamadani · Mayuree Binjolkar · Charupriya Sharma · Chhavi Yadav · Yu Yang · Winnie Xu · QINGQING ZHAO · Julissa Giuliana Villanueva Llerena · Lilian Mkonyi · Berthine Nyunga Mpinda · Rehema Mwawado · Tooba Imtiaz · Desi Ivanova · Emma Johanna Mikaela Petersson Svensson · Angela Bitto-Nemling · Elisabeth Rumetshofer · Ana Sanchez Fernandez · Garima Giri · Sigrid Passano Hellan · Catherine Ordun · Vasiliki Tassopoulou · Gina Wong

Mon Jul 18 01:30 PM -- 02:00 PM (PDT) @
in Women in Machine Learning (WiML) Un-Workshop »

Author Information

Asra Aslam (mindtrace.ai)

I am a Machine Learning Researcher at mindtrace.ai. My fields of interest are Computer Vision (Object Detection and Image Classification), Machine Learning (Deep Neural Networks), Multimedia Event Processing, and Internet of Multimedia Things (IoMT). I completed my Ph.D. in 2021 from the Insight Centre for Data Analytics, National University of Ireland (NUI), Galway. Before joining Ph.D. I worked as a Guest Lecturer in the Department of Computer Engineering, AMU, India from 2015 to 2016. I completed B.S./B.Tech. and M.S./M.Tech. in Computer Science and Engineering from AMU, India, in 2013, and 2015, respectively. I was also recipient of Science Foundation Ireland (SFI) Fellowships, IDB, and Sir Syed Scholarships in my PhD, Masters, and Bachelors. During my seven years of research, I published multiple papers in various conferences (CVPR 2022, ICMR, DEBS, etc.) and journals (IEEE Access, IMAVIS Elsevier, MTAP Springer, Procedia Computer Science). Till now, I also served as a reviewer for different conferences and journals including ICML 2022, International Journal of Communication System, Imaging Science Journal, IEEE Access etc.

Sowmya Vijayakumar (Technological University of the Shannon)
Heta Gandhi (University of Rochester)
Mary Adewunmi (University of Tasmania(UTAS))
Mary Adewunmi

Mary Adewunmi is an incoming PhD student at the University of Tasmania (UTAS), Australia, a BSc. graduate of Bowen University, Iwo, Osun State, and a Master's graduate of Lagos State University, Ojo, Nigeria. She works full-time as an IT research officer/lecturer at the National Center for Technology Management (NACETEM), and as a freelance data scientist/artificial intelligence researcher. She was one of the Kaggle BIPOC grantees in 2021 and a Graduate Scholar in Training Awardee (GSITA) from the American Association for Cancer Research (AACR) in 2022. She is a member of the American Association for Cancer Research (AACR) and the Association of Data Scientists (ADASci). Her career goal is to speed up cancer diagnosis and treatment using AI methods. She is a MOOC addict, loves listening to inspirational music and travelling.

You Cheng (Massachusetts General Hospital Harvard Medical School)
You Cheng

I am a postdoc research fellow in data science at Massachusetts General Hospital/Harvard Medical School. I received my Ph.D. in Cognitive Neuroscience from the University of California, Irvine.

Tong Yang (Xi’an Jiaotong University)
Kristina Ulicna (University College London (UCL))
Kristina Ulicna

My name is Kristina Ulicna & I'm a final (4th) year PhD candidate at University College London (UCL) within the London Interdisciplinary Doctoral (LIDo) Bioscience Programme. I'm a computational biologist focussing on the interplay between single cell cycling duration prediction & AI-driven bio-image analysis tool development.

Weiwei Zong (Henry Ford Health System)
Narmada Naik (University of Montreal)
Akshata Tiwari (Aliso Niguel High School)
Ambreen Hamadani (Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir)

I am a Veterinarian by profession and am currently pursuing a Ph.D. in Animal Genetics and Breeding. I have a decent hold of programming and am currently pursuing research in the area of AI and ML.

Mayuree Binjolkar (University of Washington)
Charupriya Sharma (University of Waterloo)
Chhavi Yadav (UCSD)
Yu Yang (University of California, Los Angeles)
Winnie Xu (University of Toronto)
Winnie Xu

Winnie recently graduated with an H.BSc from the University of Toronto where she majored in Computer Science and specialized in Artificial Intelligence. Her research interests span broadly in generative models with probabilistic interpretations and differentiable numerical algorithms. As an undergraduate, she researched latent variable models, variational inference, and Neural ODEs / SDEs with David Duvenaud. She is currently a student researcher at Google Brain collaborating with Stanford University where she is working on efficient methods for training diffusion models and doing Bayesian program induction with large language models in reasoning tasks. In the recent past, she has also collaborated with Nvidia Research, Oxford (OATML), and Cohere AI on topics in robotics, large language models, and NLP.

QINGQING ZHAO (Stanford University)
Julissa Giuliana Villanueva Llerena (IME-USP)
Lilian Mkonyi (University of Dar es Salaam)

I am an academician looking towards starting my PhD journey

Berthine Nyunga Mpinda (African Masters of Machine Intelligence)

I am currently doing a Master’s at the African Masters in Machine Intelligence (AMMI) in Ghana. A Master’s program that provides me with state-of-the-art training in Machine Learning and its applications. I hold a master’s degree in mathematical science from Stellenbosch University in South Africa, and a bachelor’s degree from the University of Kinshasa in DR Congo. I have a strong interest in computer vision and Machine Learning applied in Finance.

Rehema Mwawado (Sokoine University of Agriculture)
Tooba Imtiaz (Northeastern University)
Tooba Imtiaz

I am a Ph.D. student at Northeastern University, working with the Machine Learning group supervised by Professor Jennifer Dy. Previously, I worked as a consultant for AI and ML with Endress+Hauser Germany. My research interests include interpretable adversarial attacks, unsupervised 3D reconstruction and classification, and implicit neural networks. Additionally, I have worked on occlusion‐robust vehicle re‐identification, and on utilizing adversarial attacks for understanding deep networks with relevant publications.

Desi Ivanova (University of Oxford)
Emma Johanna Mikaela Petersson Svensson (ELLIS Unit Linz and LIT AI Lab, Institute for Machine Learning JKU)
Angela Bitto-Nemling (JKU)
Elisabeth Rumetshofer (ELLIS Unit Linz, Johannes Kepler University Linz)
Ana Sanchez Fernandez (ELLIS Unit Linz and LIT AI Lab, Institute for Machine Learning JKU)
Garima Giri (Osbourn Park High School)
Sigrid Passano Hellan (University of Edinburgh)
Catherine Ordun (University of Maryland Baltimore County)
Catherine Ordun

PhD Student at UMBC with research interests in thermal image translation, thermal physiology, affect recognition, multimodal pain detection, and healthcare privacy.

Vasiliki Tassopoulou (University of Pennsylvania)
Gina Wong (Johns Hopkins University)

More from the Same Authors