| Inverse reinforcement learning in swarm systems A Šošić, WR KhudaBukhsh, AM Zoubir, H Koeppl Proceedings of the 16th Conference on Autonomous Agents and MultiAgent …, 2017 | 67 | 2017 |
| Transitions: A protocol-independent view of the future internet B Alt, M Weckesser, C Becker, M Hollick, S Kar, A Klein, R Klose, R Kluge, ... Proceedings of the IEEE 107 (4), 835-846, 2019 | 35 | 2019 |
| Survival dynamical systems: individual-level survival analysis from population-level epidemic models WR KhudaBukhsh, B Choi, E Kenah, GA Rempala Interface Focus 10 (1), 2019 | 30 | 2019 |
| Quasi-steady-state approximations derived from the stochastic model of enzyme kinetics HW Kang, WR KhudaBukhsh, H Koeppl, GA Rempała Bulletin of Mathematical Biology, 2019 | 28 | 2019 |
| Approximate lumpability for Markovian agent-based models using local symmetries WR KhudaBukhsh, A Auddy, Y Disser, H Koeppl Journal of Applied Probability 56 (3), 647 - 671, 2019 | 17 | 2019 |
| Optimizing Stochastic Scheduling in Fork-Join Queuing Models: Bounds and Applications WR KhudaBukhsh, A Rizk, A Frömmgen, H Koeppl INFOCOM 2017 - IEEE Conference on Computer Communications, IEEE, 1-9, 2017 | 14 | 2017 |
| COVID-19 dynamics in an Ohio prison WR KhudaBukhsh, SK Khalsa, E Kenah, GA Rempala, JH Tien medRxiv, 2021.01. 14.21249782, 2021 | 9 | 2021 |
| Collaborative Uploading in Heterogeneous Networks: Optimal and Adaptive Strategies WR KhudaBukhsh, B Alt, S Kar, A Rizk, H Koeppl INFOCOM 2018 - IEEE International Conference on Computer Communications …, 2018 | 9 | 2018 |
| Quantifying the Population-Level Effect of the COVID-19 Mass Vaccination Campaign in Israel: A Modeling Study I Somekh, WR KhudaBukhsh, ED Root, LK Boker, G Rempała, ... Open Forum Infectious Diseases 9 (5), ofac087, 2022 | 8 | 2022 |
| Generalized cost-based job scheduling in very large heterogeneous cluster systems WR KhudaBukhsh, S Kar, B Alt, A Rizk, H Koeppl IEEE Transactions on Parallel and Distributed Systems 31 (11), 2594-2604, 2020 | 8 | 2020 |
| Cross-Layer QoE-based Incentive Mechanism for Video Streaming in Multi-Hop Wireless Networks. M Mousavi, H Al Shatri, WR KhudaBukhsh, H Koeppl, A Klein IEEE 86th Vehicular Technology Conference (VTC), 2017 | 8 | 2017 |
| Provisioning and performance evaluation of parallel systems with output synchronization WR KhudaBukhsh, S Kar, A Rizk, H Koeppl ACM Transactions on Modeling and Performance Evaluation of Computing Systems …, 2019 | 7 | 2019 |
| Dynamic survival analysis for non-Markovian epidemic models F Di Lauro, WR KhudaBukhsh, IZ Kiss, E Kenah, M Jensen, GA Rempała Journal of The Royal Society Interface 19 (191), 20220124, 2022 | 6 | 2022 |
| Monitoring SARS-COV-2 transmission and prevalence in populations under repeated testing M Wascher, PM Schnell, WR Khudabukhsh, M Quam, JH Tien, ... medRxiv, 2021.06. 22.21259342, 2021 | 6 | 2021 |
| Functional central limit theorem for susceptible-infected process on configuration model graphs WR KhudaBukhsh, C Woroszylo, GA Rempała, H Koeppl arXiv preprint arXiv:1703.06328, 2017 | 6* | 2017 |
| Analysis of individual-level data from 2018–2020 Ebola outbreak in Democratic Republic of the Congo H Vossler, P Akilimali, Y Pan, WR KhudaBukhsh, E Kenah, GA Rempała Scientific Reports 12 (1), 1-10, 2022 | 5 | 2022 |
| A machine learning model for nowcasting epidemic incidence SY Sahai, S Gurukar, WR KhudaBukhsh, S Parthasarathy, GA Rempała Mathematical Biosciences 343, 108677, 2022 | 5 | 2022 |
| Analysing and Leveraging Client Heterogeneity in Swarming-based Live Streaming WR KhudaBukhsh, J Rückert, J Wulfheide, D Hausheer, H Koeppl IFIP Networking 2016, 386-394, 2016 | 5 | 2016 |
| Motif-based mean-field approximation of interacting particles on clustered networks K Cui, WR KhudaBukhsh, H Koeppl Physical Review E 105 (4), L042301, 2022 | 4 | 2022 |
| Incorporating age and delay into models for biophysical systems WR KhudaBukhsh, HW Kang, E Kenah, GA Rempała Physical biology 18 (1), 015002, 2020 | 4 | 2020 |
Heinz KoepplTechnische Universität Darmstadt, Dept. Electrical Engineering and Dept. BiologyVerified email at bcs.tu-darmstadt.de
