Siba Smarak PanigrahiExpertise
Geometric Deep Learning, Generative Models
I am a Ph.D. at école Polytechnique Fédérale de Lausanne (EPFL) working with Prof. Maria Brbic in the Brbic Lab. My research interests span geometric deep learning, generative models, and computer vision.Previously, I was a visiting researcher at ServiceNow Research in the Multimodal Foundation Models team, building foundation model for structured document understanding. I was also a Research Intern at PROSE at Microsoft, working on designing algorithms a
Erick Jorge Canales RodriguezExpertise
My research interests lie at the intersection between physics, mathematical modelling, computer science, and neuroscience. My research contributions focus on developing novel imaging techniques to study the brain tissues using different Magnetic Resonance Imaging (MRI) modalities and applying these computational methods to brain imaging data to study various brain disorders.
Expertise
My research interests lie at the intersection between physics, mathematical modelling, computer science, and neuro
Negar KiyavashTeaching & PhD PhD Students Mohammad Shahverdikondori, Badri Mohammad Reza, Arefe Boushehrian, Sepehr Elahi, Mohammadsadegh Khorasani, Mohammadsaeed Masiha, Amir Mohammad Aboueimehrizi Past EPFL PhD Students Sina Akbari, Ehsan Mokhtarian, Yaroslav Kivva, Fateme Jamshidi Courses Causal inference MGT-416 Students will learn the core concepts and techniques of network analysis with emphasis on causal inference. Theory andapplication will be balanced, with students working directly with networ
Siang-Yun LeeSiang-Yun Lee is a Ph.D. student at the Integrated Systems Laboratory at EPFL, Switzerland led by Prof. Giovanni De Micheli.
She graduated from the Department of Electrical Engineering of National Taiwan University in 2019, where she worked with Prof. Jie-Hong Roland Jiang on threshold logic synthesis.
Her research interests include logic synthesis and computational neuroscience.
Mirko MarrasMirko Marras was born on April 19, 1992 in Iglesias (Italy). He is a Postdoctoral Researcher at the Digital Vocational Education and Training • Machine Learning for Education Laboratory of EPFL - Swiss Federal Institute of Technology in Lausanne (Switzerland). He received a PhD in Computer Science in 2020 and a MSc Degree in Computer Science (summa cum laude, 18 months) in 2016, from University of Cagliari (Italy). He received the Computer Science Engineering certification from the University of Pisa (Italy) in 2016.
In 2015, he was involved as Researcher within UnitelCagliari (Italy) for the ELIOS project (MIUR, 1ME). In 2017, he spent five months as Visiting Scholar at EURECAT (Spain), collaborating with the Data Science and Big Data Analytics Unit on the DECODE project (EU, 16P, 5ME). In 2018, he spent three months as Visiting Scholar within the University Institute for Intelligent Systems and Digital Applications in Engineering (SIANI) at the Universidad de Las Palmas de Gran Canaria (Spain). In 2019, he spent two months at the Department of Computer Science and Engineering of the New York University: Tandon School of Engineering (U.S.A). He has been involved as Researcher in the ILEARNTV project (MIUR, 6P, 10ME) since 2018. From 2019, he is referral of the University of Cagliari (Italy) for two work packages under the EDUC project (EU, 6P, 5ME). He has been teaching assistant for the “Computer Networks” course since 2017 and thesis assistant since 2018 at the University of Cagliari (Italy).
In 2014, he was recognized as the best third-year student of the BSc Program in Computer Science of the University of Cagliari (Italy). In 2016, he was recognized as the best MSc student of the Faculty of Science and one of the top 12 MSc students of the same University. In 2018, he got to the podium of the Call for Visionary Ideas - Education Section event organized by Nesta Italia. He has received the Best Poster Award at the European Semantic Web Conference 2017 (ESWC2017), the Demo Honorable Mention at The Web Conference 2018 (WWW2018) and the Best Paper Award at Didamatica Conference 2018. He has been awarded two Erasmus PlaceDoc scholaships to spend 5 months at EURECAT (Spain) and 3 months at Universidad de Las Palmas de Gran Canaria (Spain), respectively. Moreover, he has been awarded a GlobusDoc scholarship to spend 2 months at New York University: Tandon School of Engineering (U.S.A).
His current research focuses on Data Mining and Machine Learning with a focus on Education. He has co-authored papers in top-tier international journals, such as Pattern Recognition Letters (Elsevier), Computers in Human Behavior (Elsevier), Information Processing & Management (Elsevier), and IEEE Cloud Computing. His research activity also brought him to give talks (e.g., ECIR 2019 and INTERSPEECH 2019), demos (e.g., TheWebConf 2018 and AVI 2020), and tutorials (e.g., UMAP 2020 and ICDM 2020) at several international conferences. He is part of the program committee of main international conferences, such as ACL, AIED, ECML-PKDD, EDM, EMNLP, ITICSE, INTERSPEECH, ICALT, and UMAP. He has been also acting as a reviewer for top-tier journals, such as Pattern Recognition Letters and IEEE Transactions on Image Processing. He has been also co-chairing the BIAS@ECIR2020 and BIAS@ECIR2021 workshops. He has served as a guest editor for a special issue of Information Processing & Management (Elsevier) and Future Generation Compter Systems (Elsevier). He has been involved in several national and European projects (e.g., iLearnTV, DECODE, EDUC). He is a member of several national and international associations, including CVPL, AIxIA, IEEE, and ACM.
