• Accurate detection of paroxysmal atrial fibrillation with certified-GAN and neural architecture searchAsadi, Mehdi; Poursalim, Fatemeh; Loni, Mohammad; Daneshtalab, Masoud; Sjödin, Mikael; Gharehbaghi, ArashScientific Reports2023 / art. 11378, 16 p. : ill https://doi.org/10.1038/s41598-023-38541-8
• AdAM: Adaptive Approximate Multiplier for Fault Tolerance in DNN AcceleratorsTaheri, Mahdi; Cherezova, Natalia; Nazari, Samira; Azarpeyvand, Ali; Ghasempouri, Tara; Daneshtalab, Masoud; Raik, Jaan; Jenihhin, MaksimIEEE transactions on device and materials reliability2024 / p. 66-75 : ill https://doi.org//10.1109/TDMR.2024.3523386
• AdAM: adaptive fault-tolerant approximate multiplier for edge DNN acceleratorsTaheri, Mahdi; Cherezova, Natalia; Nazari, Samira; Rafiq, Ahsan; Azarpeyvand, Ali; Ghasempouri, Tara; Daneshtalab, Masoud; Raik, Jaan; Jenihhin, Maksim2024 IEEE European Test Symposium (ETS): ETS 2024 : May 20-24, 2024, The Hague, Netherlands : proceedings2024 https://doi.org/10.1109/ETS61313.2024.10567161 https://www.scopus.com/sourceid/21100395950 https://www.scopus.com/record/display.uri?eid=2-s2.0-85197518684&origin=resultslist&sort=plf-f&src=s&sot=b&sdt=b&s=DOI%2810.1109%2FETS61313.2024.10567161%29&sessionSearchId=2694adcfded71cf12565f4df31de58f5&relpos=0 https://www.webofscience.com/wos/woscc/full-record/WOS:001260970400008
• Adjustable self-healing methodology for accelerated functions in heterogeneous systemsRiazati, Mohammad; Ghasempouri, Tara; Daneshtalab, Masoud; Raik, Jaan; Sjodin, Mikael; Lisper, Bjorn2020 23rd Euromicro Conference on Digital System Design (DSD), 26-28 August 2020, Kranj, Slovenia2020 / p. 638-645 https://doi.org/10.1109/DSD51259.2020.00104
• Analysing robustness of tiny deep neural networksMousavi, Hamid; Zoljodi, Ali; Daneshtalab, MasoudNew Trends in Database and Information Systems : ADBIS 2023 Short Papers, Doctoral Consortium and Workshops : DOING, K-GALS, MADEISD, PeRS, Barcelona, Spain, September 4–7, 2023 : proceedings2023 / p. 150-159 https://doi.org/10.1007/978-3-031-42941-5_14 https://www.scopus.com/sourceid/17700155007 https://www.scopus.com/record/display.uri?eid=2-s2.0-85171970100&origin=inward&txGid=091e818cd8188b86d01edd202d503a6f
• Analysis and improvement of resilience for long short-term memory neural networksAhmadilivani, Mohammad Hasan; Raik, Jaan; Daneshtalab, Masoud; Kuusik, Alar2023 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)2023 / 4 p https://doi.org/10.1109/DFT59622.2023.10313559
• APPRAISER : DNN fault resilience analysis employing approximation errorsTaheri, Mahdi; Ahmadilivani, Mohammad Hasan; Jenihhin, Maksim; Daneshtalab, Masoud; Raik, Jaan2023 26th International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS)2023 / p. 124−127 : ill https://ddecs2023.taltech.ee/ https://doi.org//10.1109/DDECS57882.2023.10139468
• Assessment and Enhancement of Hardware Reliability for Deep Neural Networks = Riistvara töökindluse hindamine ja täiustamine süvanärvivõrkude jaoksAhmadilivani, Mohammad Hasan2025 https://www.ester.ee/record=b5739227*est https://digikogu.taltech.ee/et/Item/652d50e3-773f-4de5-897d-86531feb0d56 https://doi.org/10.23658/taltech.19/2025
• An automated configuration framework for TSN networksHoutan, Bahar; Bergström, Albert; Ashjaei, Mohammad; Daneshtalab, Masoud; Sjödin, Mikael; Mubeen, Saad2021 22nd IEEE International Conference on Industrial Technology (ICIT) : proceedings2021 / p. 771-778 https://doi.org/10.1109/ICIT46573.2021.9453628
• AutoRIO : an indoor testbed for developing autonomous vehiclesLoni, Mohammad; Daneshtalab, Masoud; Sjödin, Mikael2018 Proceedings of the Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC) : December 16-18, 2018 Alexandria, Egypt2018 / p. 69-72 : ill https://doi.org/10.1109/JEC-ECC.2018.8679543
• AVB-aware routing and scheduling for critical traffic in time-sensitive networks with preemptionBerisa, Aldin; Zhao, Luxi; Craciunas, Silviu S.; Ashjaei, Mohammad; Mubeen, Saad; Daneshtalab, Masoud; Sjödin, MikaelRTNS '22: Proceedings of the 30th International Conference on Real-Time Networks and Systems2022 / p. 207-218 https://doi.org/10.1145/3534879.3534926
• Challenges in using neural networks in safety-critical applicationsForsberg, H.; Linden, Jan; Hjorth, J.; Manefjord, T.; Daneshtalab, MasoudAIAA/IEEE Digital Avionics Systems Conference - Proceedings, 2020 AIAA/IEEE 39th Digital Avionics Systems Conference (DASC), Virtual Conference, October 11-16, 2020 : Proceedings2020 / 7 p https://doi.org/10.1109/DASC50938.2020.9256519
• Comparative evaluation of various generations of Controller Area Network based on timing analysisBerisa, Aldin; Panjevic, Adis; Kovac, Imran; Lyngbäck, Hans; Ashjaei, Mohammad; Daneshtalab, Masoud; Sjödin, Mikael; Mubeen, Saad2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA)2023 / p. 1-8 https://doi.org//10.1109/ETFA54631.2023.10275549
• A comprehensive systematic review of integration of time sensitive networking and 5G communicationSatka, Zenepe; Ashjaei, Mohammad; Fotouhi, Hossein; Daneshtalab, Masoud; Sjödin, Mikael; Mubeen, SaadJournal of Systems Architecture2023 / art. 102852, 22 p. : ill https://doi.org/10.1016/j.sysarc.2023.102852
• Cost-effective fault tolerance for CNNs using parameter vulnerability based hardening and pruningAhmadilivani, Mohammad Hasan; Mousavi, Seyedhamidreza; Raik, Jaan; Daneshtalab, Masoud; Jenihhin, Maksim2024 IEEE 30th International Symposium on On-line Testing and Robust System Design (IOLTS) : IOLTS 2024 : July 03rd-05th 2024, Rennes, Brittany, France2024 / 7 p https://doi.org/10.1109/IOLTS60994.2024.10616072 https://www.scopus.com/record/display.uri?eid=2-s2.0-85201385252&origin=resultslist&sort=plf-f&src=s&sot=b&sdt=b&s=DOI%2810.1109%2FIOLTS60994.2024.10616072%29&sessionSearchId=82ea1e262e947a553c0dfd040e2059dd&relpos=0 https://www.webofscience.com/wos/woscc/full-record/WOS:001293143000020
• DASS: Differentiable architecture search for sparse neural networksMousavi, Hamid; Loni, Mohammad; Alibeigi, Mina; Daneshtalab, MasoudACM transactions on embedded computing systems2023 / art. 105, 21 p. : ill https://doi.org/10.1145/3609385 https://www.scopus.com/sourceid/10300153313 https://www.scopus.com/record/display.uri?eid=2-s2.0-85171744110&origin=inward&txGid=9f17b2693e76c47ba5b11c197e3b4b99 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=ACM%20T%20EMBED%20COMPUT%20S&year=2023 https://www.webofscience.com/wos/woscc/full-record/WOS:001074334300008
• DeepAxe : a framework for exploration of approximation and reliability trade-offs in DNN acceleratorsTaheri, Mahdi; Riazati, Mohamad; Ahmadilivani, Mohammad Hasan; Jenihhin, Maksim; Daneshtalab, Masoud; Raik, Jaan; Sjödin, Mikael; Lisper, Björn2023 24th International Symposium on Quality Electronic Design (ISQED)2023 / 8 p. : ill https://doi.org/10.1109/ISQED57927.2023.10129353
• DeepFlexiHLS : Deep Neural Network Flexible High-Level Synthesis Directive GeneratorRiazati, Mohammad; Daneshtalab, Masoud; Sjödin, Mikael; Lisper, BjörnRiazati, M.; Daneshtalab, M.; Sjodin, M.; Lisper, B.2022 / p. 1-6 https://doi.org/10.1109/NorCAS57515.2022.9934617
• DeepHLS: A complete toolchain for automatic synthesis of deep neural networks to FPGARiazati, Mohammad; Daneshtalab, Masoud; Sjodin, Mikael; Lisper, BjornICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, November 23-25, 2020, Virtual Conference : Proceedings2020 / 4 p https://doi.org/10.1109/ICECS49266.2020.9294881
• DeepVigor: VulnerabIlity Value RanGes and FactORs for DNNs’ Reliability AssessmentAhmadilivani, Mohammad Hasan; Taheri, Mahdi; Raik, Jaan; Daneshtalab, Masoud; Jenihhin, MaksimIEEE European Test Symposium (ETS) : Venice, Italy, 22-26 May 2023 : proceedings2023 / 6 p. : ill https://doi.org/10.1109/ETS56758.2023.10174133
• DeepVigor+: Scalable and Accurate Semi-Analytical Fault Resilience Analysis for Deep Neural NetworksAhmadilivani, Mohammad Hasan; Raik, Jaan; Daneshtalab, Masoud; Jenihhin, MaksimarXiv.org2024 / 14 p. : ill https://doi.org/10.48550/arXiv.2410.15742
• DenseDisp: Resource-Aware Disparity Map Estimation by Compressing Siamese Neural ArchitectureLoni, Mohammad; Zoljodi, Ali; Maier, Daniel; Majd, Amin; Daneshtalab, Masoud; Sjödin, Mikael; Juurlink, Ben H.H.; Akbari, Reza2020 IEEE Congress on Evolutionary Computation (CEC) : conference proceedings2020 / 8 p https://doi.org/10.1109/CEC48606.2020.9185611
• Designing Compact Convolutional Neural Network for Embedded Stereo Vision SystemsLoni, Mohammad; Majd, Amin; Loni, Abdolah; Daneshtalab, Masoud; Sjödin, Mikael; Troubitsyna, Elena2018 IEEE 12th International Symposium on Embedded Multicore/Many-core Systems-on-Chip : MCSoC 2018 : proceedings2018 / p. 244–251 : ill https://doi.org/10.1109/MCSoC2018.2018.00049
• Developing a translation technique for converged TSN-5G communicationSatka, Zenepe; Pantzar, David; Magnusson, Alexander; Ashjaei, Mohammad; Fotouhi, Hossein; Sjödin, Mikael; Daneshtalab, Masoud; Mubeen, SaadCommunication in Automation : 18th IEEE International Workshop on Factory Communication Systems 2022 : WFCS 20222022 / 8 p https://doi.org/10.1109/WFCS53837.2022.9779191
• Efficient on-device transfer learning using activation memory reductionYoosefi, Amin; Mousavi, Hamid; Daneshtalab, Masoud; Kargahi, Mehdi2023 Eighth International Conference on Fog and Mobile Edge Computing (FMEC)2023 / p. 210-215 https://doi.org/10.1109/FMEC59375.2023.10306182
• ELC-ECG: efficient LSTM cell for ECG classification based on quantized architectureMirsalari, Seyed Ahmad; Nazari, Najmeh; Ansarmohammadi, Seyed Ali; Sinaei, Sima; Salehi, Mostafa E.; Daneshtalab, Masoud2021 IEEE International Symposium on Circuits and Systems (ISCAS), Daegu, Korea May 22-28, 2021 : proceedings2021 / 5 p https://doi.org/10.1109/ISCAS51556.2021.9401261 https://www.scopus.com/sourceid/56190 https://www.scopus.com/record/display.uri?eid=2-s2.0-85108992062&origin=inward&txGid=1c2c56223e08d1bc212c6fccdc68171b https://www.webofscience.com/wos/woscc/full-record/WOS:000696765400207
• End-to-end Timing Model Extraction from TSN-Aware Distributed Vehicle SoftwareHoutan, Bahar; Aybek, Mehmet Onur; Ashjaei, Mohammad; Daneshtalab, Masoud; Sjödin, Mikael; Mubeen, Saad48th Euromicro Conference on Software Engineering and Advanced Applications : SEAA 2022 : proceedings2022 / p. 366-369 https://doi.org/10.1109/SEAA56994.2022.00064
• End-to-end timing modeling and analysis of TSN in component-based vehicular softwareHoutan, Bahar; Aybek, Mehmet Onur; Ashjaei, Mohammad; Daneshtalab, Masoud; Sjödin, Mikael; Lundbäck, John; Mubeen, Saad2023 IEEE 26th International Symposium on Real-Time Distributed Computing (ISORC)2023 / p. 126-135 https://doi.org/10.1109/ISORC58943.2023.00025
• Enhancing fault resilience of QNNs by selective neuron splittingAhmadilivani, Mohammad Hasan; Taheri, Mahdi; Raik, Jaan; Daneshtalab, Masoud; Jenihhin, Maksim2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS)2023 / 5 p. : ill https://doi.org/10.1109/AICAS57966.2023.10168633
• Evaluating the robustness of ML models to out-of-distribution data through similarity analysisLindén, Joakim; Forsberg, Håkan; Daneshtalab, Masoud; Söderquist, IngemarNew Trends in Database and Information Systems; ADBIS 2023 Short Papers, Doctoral Consortium and Workshops: AIDMA, DOING, K-Gals, MADEISD, PeRS, Barcelona, Spain, September 4–7, 2023, Proceedings2023 / p. 348 - 359 https://doi.org/10.1007/978-3-031-42941-5_30
• Exploration of Activation Fault Reliability in Quantized Systolic Array-Based DNN AcceleratorsTaheri, Mahdi; Cherezova, Natalia; Ansari, Mohammad Saeed; Jenihhin, Maksim; Mahani, Ali; Daneshtalab, Masoud; Raik, Jaan25th International Symposium on Quality Electronic Design (ISQED)2025 / 8 p. : ill https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10528372
• FaCT-LSTM : fast and compact ternary architecture for LSTM recurrent neural networksMirsalari, Seyed Ahmad; Nazari, Najmeh; Sinaei, Sima; Salehi, Mostafa E.; Daneshtalab, MasoudIEEE design & test2022 / p. 45-53 https://doi.org/10.1109/MDAT.2021.3070245
• FARMUR: fair adversarial retraining to mitigate unfairness in robustnessMousavi, Seyed Ali; Mousavi, Hamid; Daneshtalab, MasoudAdvances in Databases and Information Systems: 27th European Conference, ADBIS 2023, Barcelona, Spain, September 4–7, 2023 : proceedings2023 / p. 133-145 https://doi.org/10.1007/978-3-031-42914-9_10 https://www.scopus.com/sourceid/25674 https://www.scopus.com/record/display.uri?eid=2-s2.0-85190517138&origin=inward&txGid=d37dc9a1c5aa19f558a625f60a5071da
• FastStereoNet : A fast neural architecture search for improving the inference of disparity estimation on resource-limited platformsLoni, Mohammad; Zoljodi, Ali; Majd, Amin; Ahn, Byung Hoon; Daneshtalab, Masoud; Sjödin, Mikael; Esmaeilzadeh, HadiIEEE Transactions on Systems, Man, and Cybernetics : Systems2022 / p. 5222-5234 : ill https://doi.org/10.1109/TSMC.2021.3123136 https://www.scopus.com/sourceid/21100262320 https://www.scopus.com/record/display.uri?eid=2-s2.0-85120087918&origin=inward&txGid=b62ae52404ac30b3248be943d3d4f2ff https://jcr.clarivate.com/jcr-jp/journal-profile?journal=IEEE%20T%20SYST%20MAN%20CY-S&year=2022 https://www.webofscience.com/wos/woscc/full-record/WOS:000732342800001
• FORTUNE: A Negative Memory Overhead Hardware-Agnostic Fault TOleRance TechniqUe in DNNsNazari, Samira; Taheri, Mahdi; Azarpeyvand, Ali; Afsharchi, Mohsen; Ghasempouri, Tara; Herglotz, Christian; Daneshtalab, Masoud; Jenihhin, Maksim2024 IEEE 33rd Asian Test Symposium (ATS)2024 / p. 1-6 : ill https://doi.org//10.1109/ATS64447.2024.10915463
• Guest editorial : Special issue on parallel, distributed, and network-based processing in next-generation embedded systemsMubeen, Saad; Lo Bello, Lucia; Daneshtalab, Masoud; Saponara, SergioJournal of Systems Architecture : the EUROMICRO Journal2021 / art. 102159 https://doi.org/10.1016/j.sysarc.2021.102159
• Improving motion safety and efficiency of intelligent autonomous swarm of dronesMajd, Amin; Loni, Mohammad; Sahebi, Golnaz; Daneshtalab, MasoudDrones2020 / art. 48, 19 p. : ill https://doi.org/10.3390/drones4030048
• Investigating and analyzing CAN-to-TSN gateway forwarding techniquesBerisa, Aldin; Ashjaei, Mohammad; Daneshtalab, Masoud; Sjödin, Mikael; Mubeen, Saad2023 IEEE 26th International Symposium on Real-Time Distributed Computing : ISORC 2023 : Nashville, Tennessee, USA, 23-25 May 2023 : proceedings2023 / p. 136-145 https://doi.org/10.1109/ISORC58943.2023.00026
• Keynote: cost-efficient reliability for Edge-AI chipsJenihhin, Maksim; Taheri, Mahdi; Cherezova, Natalia; Ahmadilivani, Mohammad Hasan; Selg, Hardi; Jutman, Artur; Shibin, Konstantin; Tsertov, Anton; Devadze, Sergei; Kodamanchili, Rama Mounika; Rafiq, Ahsan; Raik, Jaan; Daneshtalab, Masoud2024 IEEE 25th Latin American Test Symposium (LATS)2024 / 2 p https://doi.org/10.1109/LATS62223.2024.10534610 https://www.scopus.com/record/display.uri?eid=2-s2.0-85195425788&origin=resultslist&sort=plf-f&src=s&sot=b&sdt=b&s=DOI%2810.1109%2FLATS62223.2024.10534610%29&sessionSearchId=03854897c8e6e7bbc8ffad5b01ef8afb&relpos=0
• Message from Program Co-Chairs: PDP 2020Daneshtalab, Masoud; Brorsson, Mats2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing : PDP 2020, Västerås, Sweden, 11-13 March 20202020 / 1 p https://doi.org/10.1109/PDP50117.2020.00006
• Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamineTaheri, Mahdi2025 https://www.ester.ee/record=b5728368*est https://digikogu.taltech.ee/et/Item/9cf79768-17bc-44ec-a828-e4ccf6cf93f1 https://doi.org/10.23658/taltech.4/2025
• Multi-level binarized LSTM in EEG classification for wearable devicesNazari, N.; Mirsalari, Seyed Ahmad; Sinaei, S.; Salehi, M.E.; Daneshtalab, Masoud2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing : PDP 2020, Västerås, Sweden, 11-13 March 20202020 / p. 175-181 https://doi.org/10.1109/PDP50117.2020.00033
• Network-on-ReRAM for scalable processing-in-memory architecture designDabiri, Bita; Modarressi, Mehdi; Daneshtalab, Masoud24th Euromicro Conference on Digital System Design (DSD)2021 https://doi.org/10.1109/DSD53832.2021.00031
• NeuroPIM: felxible neural accelerator for processing-in-memory architecturesBidgoli, Ali Monavari; Fattahi, Sepideh; Rezaei, Seyyed Hossein Seyyedaghaei; Modarressi, Mehdi; Daneshtalab, Masoud2023 26th International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS) : May 3-5, 2023, Tallin, Estonia : proceedings2023 / p. 51-56 https://doi.org/10.1109/DDECS57882.2023.10139567
• NoM: network-on-memory for inter-bank data transfer in highly-banked memoriesRezaei, S.H.S.A.; Modarressi, M.; Ausavarungnirun, R.; Sadrosadati, M.; Mutlu, O.; Daneshtalab, MasoudIEEE computer architecture letters2020 / p. 80-83 http://dx.doi.org/10.1109/LCA.2020.2990599
• Preface from General Co-Chairs: PDP 2020Daneshtalab, Masoud; Francesco, L.; Sjodin, Mikael2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing : PDP 2020, Västerås, Sweden, 11-13 March 20202020 / 1 p https://doi.org/10.1109/PDP50117.2020.00005
• ProAct: Progressive Training for Hybrid Clipped Activation Function to Enhance Resilience of DNNsMousavi, Seyedhamidreza; Ahmadilivani, Mohammad Hasan; Raik, Jaan; Jenihhin, Maksim; Daneshtalab, MasoudarXiv.org2024 / 12 p. : ill https://doi.org/10.48550/arXiv.2406.06313
• QoS-MAN : a novel QoS mapping algorithm for TSN-5G flowsSatka, Zenepe; Ashjaei, Mohammad; Fotouhi, Hossein; Daneshtalab, Masoud; Sjodin, Mikael; Mubeen, Saad2022 IEEE 28th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA)2022 / p. 220-227 https://doi.org/10.1109/RTCSA55878.2022.00030
• Review, analysis, and implementation of path selection strategies for 2D NoCsSingh, Rajendra; Bohra, Manoj Kumar; Hemrajani, Prashant; Kalla, Anshuman; Bhatt, Devershi Pallavi; Purohit, Nitin; Daneshtalab, MasoudIEEE Access2022 / p. 129245 - 129268 https://doi.org/10.1109/ACCESS.2022.3227460 https://www.scopus.com/sourceid/21100374601 https://www.scopus.com/record/display.uri?eid=2-s2.0-85144743242&origin=inward&txGid=6bbefd508ac2cf8f9444086f3a32678a https://jcr.clarivate.com/jcr-jp/journal-profile?journal=IEEE%20ACCESS&year=2022 https://www.webofscience.com/wos/woscc/full-record/WOS:000899980300001
• RoCo-NAS : robust and compact neural architecture searchGeraeinejad, Vahid; Sinaei, Sima; Modarressi, Mehdi; Daneshtalab, Masoud2021 International Joint Conference on Neural Networks (IJCNN) : proceedings2021 / 8 l https://doi.org/10.1109/IJCNN52387.2021.9534460 https://www.scopus.com/sourceid/96537 https://www.scopus.com/record/display.uri?eid=2-s2.0-85116466137&origin=inward&txGid=06cece687b3f28db1a4a5c7b57009c76 https://www.webofscience.com/wos/woscc/full-record/WOS:000722581709029
• SAFFIRA: a Framework for Assessing the Reliability of Systolic-Array-Based DNN AcceleratorsTaheri, Mahdi; Daneshtalab, Masoud; Raik, Jaan; Jenihhin, Maksim; Pappalardo, Salvatore; Jimenez, Paul; Deveautour, Bastien; Bosio, Alberto2024 27th International Symposium on Design & Diagnostics of Electronic Circuits & Systems (DDECS) : 03-05 April 2024, Kielce, Poland2024 / p. 19–24 : ill https://doi.org//10.1109/DDECS60919.2024.10508925
• Scalable parallel genetic algorithm for solving large integer linear programming models derived from behavioral synthesisFallah, Mohammad K.; Mirhosseini, M.; Fazlali, Mahmood; Daneshtalab, Masoud2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing : PDP 2020, Västerås, Sweden, 11-13 March 20202020 / p. 390-394 https://doi.org/10.1109/PDP50117.2020.00066
• Schedulability analysis of best-effort traffic in TSN networksHoutan, Bahar; Ashjaei, Mohammad; Daneshtalab, Masoud; Sjödin, Mikael; Afshar, Sara; Mubeen, Saad26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)2021 / 8 l https://doi.org/10.1109/ETFA45728.2021.9613511
• Special session : approximation and fault resiliency of DNN acceleratorsAhmadilivani, Mohammad Hasan; Barbareschi, Mario; Barone, Salvatore; Bosio, Alberto; Daneshtalab, Masoud; Torca, Salvatore Della; Gavarini, Gabriele; Jenihhin, Maksim; Raik, Jaan; Taheri, Mahdi2023 IEEE 41st VLSI Test Symposium (VTS) : proceedings2023 / 10 p. : ill https://doi.org/10.1109/VTS56346.2023.10140043 https://www.scopus.com/sourceid/14939 https://www.scopus.com/record/display.uri?eid=2-s2.0-85161889760&origin=inward&txGid=7246f38058a8b9b32768d1928b8eec68 https://www.webofscience.com/wos/woscc/full-record/WOS:001011806600022
• Supporting end-to-end data propagation delay analysis for TSN-based distributed vehicular embedded systemsHoutan, Bahar; Ashjaei, Mohammad; Daneshtalab, Masoud; Sjödin, Mikael; Mubeen, SaadJournal of Systems Architecture2023 / art. 102911 https://doi.org/10.1016/j.sysarc.2023.102911
• A symbiosis between population based incremental learning and LP-relaxation based parallel genetic algorithm for solving integer linear programming modelsFallah, Mohammad K.; Fazlali, Mahmood; Daneshtalab, MasoudComputing2023 / p. 1121-1139 https://doi.org/10.1007/s00607-021-01004-x
• Synthesising schedules to improve QoS of best-effort traffic in TSN networksHoutan, Bahar; Ashjaei, Mohammad; Daneshtalab, Masoud; Sjödin, Mikael; Mubeen, SaadRTNS'2021 : 29th International Conference on Real-Time Networks and Systems2021 / p. 68-77 https://doi.org/10.1145/3453417.3453423
• A systematic literature review on hardware reliability assessment methods for deep neural networksAhmadilivani, Mohammad Hasan; Taheri, Mahdi; Raik, Jaan; Daneshtalab, Masoud; Jenihhin, MaksimACM Computing Surveys2024 / art. 141, 39 p. : ill https://doi.org/10.1145/3638242 https://www.scopus.com/sourceid/23038 https://www.scopus.com/record/display.uri?eid=2-s2.0-85188964919&origin=resultslist&sort=plf-f&src=s&sot=b&sdt=b&s=DOI%2810.1145%2F3638242%29&relpos=0 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=ACM%20COMPUT%20SURV&year=2023 https://www.webofscience.com/wos/woscc/full-record/WOS:001208566200007
• Zero-memory-overhead clipping-based fault tolerance for LSTM deep neural networksParchekani, Bahram; Nazari, Samira; Ahmadilivani, Mohammad Hasan; Azarpeyvand, Ali; Raik, Jaan; Ghasempouri, Tara; Daneshtalab, Masoud37th IEEE International Symposium on Defect and Fault Tolerancein VLSI and Nanotechnology Systems, Harwell, Oxfordshire, Didcot, UK, October 8th - 10th, 20242024 / 4 p. : ill https://doi.org/10.1109/DFT63277.2024.10753533 https://www.scopus.com/sourceid/21101123252 https://www.scopus.com/record/display.uri?eid=2-s2.0-85212407196&origin=resultslist&sort=plf-f&src=s&sot=b&sdt=b&s=ALL%28%22Zero-Memory-Overhead+Clipping-Based+Fault+Tolerance+for+LSTM+Deep+Neural+Networks%22%29&sessionSearchId=fd90d0e9983d9a88c6a21e7c6aafecbb&relpos=0
• TAS : Ternarized Neural Architecture Search for Resource-Constrained Edge DevicesLoni, Mohammad; Mousavi, Hamid; Riazati, Mohammad; Daneshtalab, Masoud; Sjödin, Mikael2022 Design, Automation & Test in Europe Conference & Exhibition (DATE) : proceedings2022 / p. 1115-1118 https://doi.org/10.23919/DATE54114.2022.9774615
• 3DLaneNAS : neural architecture search for accurate and light-weight 3D lane detectionZoljodi, Ali; Loni, Mohammad; Abadijou, Sadegh; Alibeigi, Mina; Daneshtalab, MasoudArtificial Neural Networks and Machine Learning - ICANN 2022 : proceedings. Part I2022 / p. 404-415 https://doi.org/10.1007/978-3-031-15919-0_34 https://www.scopus.com/sourceid/25674 https://www.scopus.com/record/display.uri?eid=2-s2.0-85138760578&origin=resultslist&sort=plf-f&src=s&sid=5f15bbef7f741d4142d17d6499245e05&sot=b&sdt=b&s=TITLE-ABS-KEY%28%22architecture+search+for+accurate+and+light-weight%22%29&sl=66&sessionSearchId=5f15bbef7f741d4142d17d6499245e05&relpos=0 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=LECT%20NOTES%20ARTIF%20INT&year=2005 https://www.webofscience.com/wos/woscc/full-record/WOS:000866210600034
• Time-Sensitive Networking in automotive embedded systems : state of the art and research opportunitiesAshjaei, Mohammad; Bello, Lucia Lo; Daneshtalab, Masoud; Patti, Gaetano; Saponara, Sergio; Mubeen, SaadJournal of Systems Architecture : the EUROMICRO Journal2021 https://doi.org/10.1016/j.sysarc.2021.102137