Sandy IngramExpertise
Programming Languages (C, SQL, Ruby, Rails, Java, Javascript)Recommendation algorithmsSocial media design for collaborative work
Sandy's research is mainly focused on the design and development of Personal Learning Environments and contextual recommender systems. Currently working on the Jumpers CTI project.Also involved in the STELLAR Network of Excellence in Technology Enhanced Learning(EU, FP7). Among other things, she chaired the program for JTEL Winter School 2011.Worked on the ROLE Project (
Giovanna AmbrosiniCurrent Position Senior Scientist, School of Life Sciences, Bioinformatics Competence Center, école Polythechnique Fédérale de Lausanne, Lausanne.Senior bioinformatician and software engineer with proven experience working in higher education institutions. Solid experience in scientific computing and web design. Proficient in physics and computational genomics, with a focus on high-throughput genomic sequencing data analysis (ChIP-seq, ATAC-seq, RNA-seq, scRNA-seq, and exome sequencing) and other types of
Radhakrishna AchantaExpertise
Image Processing, Computer Vision, and Machine Learning
Radhakrishna Achanta has a PhD in computer science from EPFL, an MSc from NUS, Singapore, and a BEng from India. He has over 20 years of industrial and academic experience in the capacities of an individual contributor as well as a manager. His domains of expertise are Computer Vision, Image Processing, and Machine Learning. He has authored over 50 peer reviewed papers and patents, which have more than 23’000 citations. He has co-founded 4 st
Amir Roshan ZamirAmir Zamir is a Tenure-Track Assistant Professor of Computer Science at the Swiss Federal Institute of Technology in Lausanne (EPFL). Prior to EPFL, he spent time at Stanford, UC Berkeley, and UCF. His research interests are broadly in computer vision, machine learning, perception-for-robotics, and AI. He has been recognized with CVPR (2018) Best Paper Award, CVPR (2016) Best Student Paper Award, CVPR (2020) Best Paper Award Nomination, and NVIDIA Pioneering Research Award (2018), among others. His research has been covered by various press outlets, such as The New York Times or Forbes.
Demetri PsaltisResearch group
Teaching & PhD PhD Students Victoria Fay, Colin Nikhil Christian Past EPFL PhD Students Wuzhou Song, Alexandre Goy, Julien Cuennet, Ioannis Papadopoulos, Xin Yang, Grégoire Pierre Jean Laporte, Thomas Jean Victor Marie Lanvin, Seyyed Mohammad Hosseini Hashemi, Nicolino Stasio, Morteza Hasani Shoreh, Marilisa Romito, Pooria Hadikhani, Eirini Kakkava, Joowon Lim, Giulia Panusa, Ahmed Bassam Sayed Ayoub Mohamed Ayoub, Amirhossein Saba, Niyazi Ulas Dinç Past EPFL PhD
Guillaume AnciauxResearchResearch Topics My research can be decomposed in three main blocks:First, the main goal of my current research is the physical description of contact interactions. I performed numerous studies of this topic using different models from the continuum scale down to atomistic scale. Since atomic phenomena and macroscopic observations are linked, the physics of contact needs the simultaneous consideration of several scales. For instance, plasticity is a theory defined for the macroscopic scale whereas t
Babak FalsafiBabak is a Professor in the School of Computer and Communication Sciences and the founding director of the EcoCloud, an industrial/academic consortium at EPFL investigating scalable data-centric technologies. He has made numerous contributions to computer system design and evaluation including a scalable multiprocessor architecture which was prototyped by Sun Microsystems (now Oracle), snoop filters and memory streaming technologies that are incorporated into IBM BlueGene/P and Q and ARM cores, and computer system performance evaluation methodologies that have been in use by AMD, HP and Google PerKit . He has shown that hardware memory consistency models are neither necessary (in the 90's) nor sufficient (a decade later) to achieve high performance in multiprocessor systems. These results eventually led to fence speculation in modern microprocessors. His latest work on workload-optimized server processors laid the foundation for the first generation of Cavium ARM server CPUs, ThunderX. He is a recipient of an NSF CAREER award, IBM Faculty Partnership Awards, and an Alfred P. Sloan Research Fellowship. He is a fellow of IEEE and ACM.
Viktor KuncakViktor Kunčak joined EPFL in 2007, after receiving a PhD degree from MIT. Since then has been leading the Laboratory for Automated Reasoning and Analysis and supervised at least 12 completed PhD theses. His works on languages, algorithms and systems for verification and automated reasoning. He served as an initiator and one of the coordinators of a European network (COST action) in the area of automated reasoning, verification, and synthesis. In 2012 he received a 5-year single-investigator European Research Council (ERC) grant of 1.5M EUR. His invited talks include those at Lambda Days, Scala Days, NFM, LOPSTR, SYNT, ICALP, CSL, RV, VMCAI, and SMT. A paper on test generation he co-authored received an ACM SIGSOFT distinguished paper award at ICSE. A PLDI paper he co-authored was published in the Communications of the ACM as a Research Highlight article. His Google Scholar profile reports an over-approximate H-index of 38. He was an associate editor of ACM Transactions on Programming Languages and Systems (TOPLAS) and served as a co-chair of conferences on Computer-Aided Verification (CAV), Formal Methods in Computer Aided Design (FMCAD), Workshop on Synthesis (SYNT), and Verification, Model Checking, and Abstract Interpretation (VMCAI). At EPFL he teaches courses on functional and parallel programming, compilers, and verification. He has co-taught the MOOC "Parallel Programming" that was visited by over 100'000 learners and completed by thousands of students from all over the world.
Daniel Gatica-PerezExpertise
Social computing, social media, ubiquitous computing, crowdsourcing, machine learning.
Current work
My research integrates theories and methods from ubiquitous computing, social media, machine learning, and social sciences to understand human behavior in daily life and to create applications for social good.My current research interests include:* Mobile crowdsourcing and social media analytics for social good.* Crowdsourcing for cities.* Social video analytics, with focus on conversational behavio
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