Sahar Asadi

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Achim J. LilienthalProfessor of Computer Science at Technical University of Munich and Örebro UniversityVerified email at oru.se
Sepideh PashamiAssociate Professor, Halmstad University; Senior researcher, RISE Research Institutes of SwedenVerified email at hh.se
Patrick P. NeumannBAM Bundesanstalt für Materialforschung und -prüfungVerified email at bam.de
Jochen SchillerFreie Universitaet BerlinVerified email at ieee.org
Lele CaoSenior Principal AI/ML Researcher and Research Lead, Microsoft (ABK); ACM & IEEE MemberVerified email at microsoft.com
Shahin MohammadiBroad InstituteVerified email at broadinstitute.org
Ali Masoudi-Nejad, ProfessorLaboratory of Systems Biology and Bioinformatics (LBB), University of TehranVerified email at ut.ac.ir
Falk SchreiberProfessor, University of Konstanz and Monash UniversityVerified email at uni-konstanz.de
elahe elahiUniversity of TehranVerified email at ut.ac.ir
Abbas Nowzari-Daliniassociate prof., university of tehranVerified email at ut.ac.ir
Victor Hernandez BennettsSenior Data Scientist at B3 IndesVerified email at b3.se
Tianze WangDistributed Computing Group, KTHVerified email at kth.se
Amir H. PayberahAssociate Professor of Computer Science, KTH, SwedenVerified email at kth.se
Matteo ReggenteSenior Specialist, SICHH, Digital Health FacilityVerified email at sichh.ch
Shahin KamaliYork UniversityVerified email at yorku.ca
Serveh Mam GhaderiMaster of Computer Science, Shahid Beheshti UniversityVerified email at khayam.ut.ac.ir
Hesam DashtiInstructor in Medicine, Brigham and Women's Hospital, Harvard Medical SchoolVerified email at bwh.harvard.edu
Nima AghaeepourStanford UniversityVerified email at stanford.edu
Christian PlagemannGoogle ResearchVerified email at google.com
Cyrill StachnissProfessor for Photogrammetry & Robotics, University of BonnVerified email at igg.uni-bonn.de

Sahar Asadi

Director of AI Labs at King, Microsoft Gaming

Verified email at king.com - Homepage

Reinforcement Learning Representation Learning Generative AI NLP


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Kavosh: a new algorithm for finding network motifs ZRM Kashani, H Ahrabian, E Elahi, A Nowzari-Dalini, ES Ansari, S Asadi, ... BMC bioinformatics 10, 1-12, 2009	296	2009
Autonomous gas-sensitive microdrone: Wind vector estimation and gas distribution mapping PP Neumann, S Asadi, AJ Lilienthal, M Bartholmai, JH Schiller Robotics & Automation Magazine, IEEE 19 (1), 50-61, 2012	196	2012
Dynamic positioning based on voronoi cells (dpvc) HAT Dashti, N Aghaeepour, S Asadi, M Bastani, Z Delafkar, FM Disfani, ... RoboCup 2005: Robot Soccer World Cup IX, 219-229, 2005	33	2005
Monitoring of CCS areas using micro unmanned aerial vehicles (MUAVs) PP Neumann, S Asadi, VH Bennetts, AJ Lilienthal, M Bartholmai Energy Procedia 37, 4182-4190, 2013	31	2013
An Artificial Potential Field based Sampling Strategy for a Gas-Sensitive Micro-Drone P Neumann, S Asadi, JH Schiller, A Lilienthal, M Bartholmai Proc. IROS 2011 Workshop Robotics for Environmental Monitoring (WREM, 34-38, 2011	25	2011
Integration of openfoam flow simulation and filament-based gas propagation models for gas dispersion simulation S Pashami, S Asadi, AJ Lilienthal Proceedings of the Open Source CFD International Conference 2, 2010	25	2010
Time-dependent gas distribution modelling S Asadi, H Fan, VH Bennetts, AJ Lilienthal Robotics and Autonomous Systems 96, 157-170, 2017	22	2017
Statistical Gas Distribution Modelling Using Kernel Methods S Asadi, M Reggente, C Stachniss, C Plagemann, AJ Lilienthal Intelligent Systems for Machine Olfaction: Tools and Methodologies, 153-179, 2011	22	2011
TD Kernel DM+ V: Time-Dependent Statistical Gas Distribution Modelling on Simulated Measurement S Asadi, S Pashami, A Loutfi, AJ Lilienthal AIP Conference Proceedings Volume 1362: Olfaction and Electronic Nose …, 2011	18	2011
Simple, scalable, and stable variational deep clustering L Cao, S Asadi, W Zhu, C Schmidli, M Sjöberg Joint European Conference on Machine Learning and Knowledge Discovery in …, 2020	17	2020
Capturing local and global patterns in procedural content generation via machine learning V Volz, N Justesen, S Snodgrass, S Asadi, S Purmonen, C Holmgård, ... 2020 IEEE Conference on Games (CoG), 399-406, 2020	15	2020
Estimating Predictive Variance for Statistical Gas Distribution Modelling AJ Lilienthal, S Asadi, M Reggente AIP: Olfaction and Electronic Nose-Proc. ISOEN 1137, 65-68, 2009	13	2009
ICT solutions supporting collaborative information acquisition, situation assessment and decision making in contemporary environmental management problems: the DIADEM approach S Asadi, C Badica, T Comes, C Conrado, V Evers, F Groen, S Illie, ... Conference on Innovations in Sharing Environmental Observation and …, 2011	11	2011
Use all your skills, not only the most popular ones F Lorenzo, S Asadi, A Karnsund, L Cao, T Wang, AH Payberah 2020 IEEE Conference on Games (CoG), 682-685, 2020	7	2020
Approaches to time-dependent gas distribution modelling S Asadi, A Lilienthal 2015 European Conference on Mobile Robots (ECMR), 1-6, 2015	5	2015
player2vec: A Language Modeling Approach to Understand Player Behavior in Games T Wang, M Honari-Jahromi, S Katsarou, O Mikheeva, ... arXiv preprint arXiv:2404.04234, 2024	3	2024
CANDYRL: A Hybrid Reinforcement Learning Model for Gameplay S Karimi, S Asadi, L Francesco, AH Payberah The IEEE International Conference on Machine Learning and Applications (ICMLA), 2022	3	2022
Mind the Data, Measuring the Performance Gap Between Tree Ensembles and Deep Learning on Tabular Data A Karlsson, T Wang, S Nowaczyk, S Pashami, S Asadi International Symposium on Intelligent Data Analysis, 65-76, 2024	2	2024
Debiasing Few-Shot Recommendation in Mobile Games L Cao, S Asadi, M Biasielli, M Sjöberg ORSUM@ACM RecSys 2020, 2020	2	2020
Towards Dense Air Quality Monitoring: Time-Dependent Statistical Gas Distribution Modelling and Sensor Planning S Asadi Örebro University, 2017	2	2017

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