[C58]N. Taherinejad, "In-Memory Computing: Global Energy Consumption, Carbon Footprint, Technology, and Products Status Quo", IEEE Nano Conference, pp. 1-6, 2024.
[C57] S. Shakibhamedan, A. Aminifar, L. Vassallo, N. Taherinejad, "Harnessing Approximate Computing for Machine Learning", 2024 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), pp. 1-6, 2024.
[C56] S. Khooyooz, A. Jahanjoo, A. Aminifar, N. Taherinejad, "A Novel Machine-Learning-Based Noise Detection Method for Photoplethysmography Signals", 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 1-5, 2024.
[C55] B. Till, C. Gerdenitsch, P. Schörpf, A. Jahanjoo, N. Taherinejad, "Neurophysiological Data Collection at the Digital Workplace", NeuroIS Retreat Conference, pp. 1-10, 2024.
[J30] H. J. Damsfaard, A. Grenier, D. Katare, Z. Taufique, S. Shakibhamedan, T. Troccol, G. Chatzitsompanis, A. Kanduri, A. Ometov, A. Ding, N. Taherinejad, G. Karakonstantis, R. Woods, J. Nurmi, “Adaptive Approximate Computing in Edge AI and IoT Applications: A Review”, Elsevier Journal of Systems Architecture, pp. 1-31, 2024.
[J29] S. Shakibhamedan, N. Amirafshar, A. S. Baroughi, H. S. Shahhoseini and N. Taherinejad,“ACE-CNN: Approximate Carry Disregard Multipliers for Energy-Efficient CNN-Based Image Classification”, IEEE Transactions on Circuits and Systems I: Regular Papers.
[M13] S. Shakibhamedan, A. Aminifar, N. Taherinejad, Axel Jantsch, "EASE: Energy Optimization through Adaptation – A Review of Runtime Energy-Aware Approximate Deep Learning Algorithms", TechRxiv, pp. 1-19, 2024. DOI: 10.36227/techrxiv.170723230.09169589/v1
[C54] A. Aminifar, A. Jahanjoo, S. Shakibhamedan, S. Khooyooz and N. Taherinejad, "RecogNoise: Machine-Learning-Based Recognition of Noisy Segments in Electrocardiogram Signals", IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1-5, 2024.
[C53] A. Jahanjoo, A. Aminifar and N. Taherinejad, "High-Accuracy Stress Detection Using Wrist-Worn PPG Sensors", IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1-5, 2024.
[C52] M. Shoushtari M., S. Aygun, M. Riahi Alam, J. I. Schmidt, M. H. Najafi, and N. Taherinejad, “Accurate and Energy-Efficient Stochastic Computing with Van Der Corput Sequences”, 18th ACM International Symposium on Nanoscale Architectures (NANOARCH 2023), pp. 1-6, 2023.
imc, mmr, ca, dhw, img
[C51] F. Seiler and N. Taherinejad, “An IMPLY-based Semi-Serial Approximate In-Memristor Adder”, IEEE Nordic Circuits and Systems Conference (NorCAS 2023), pp. 1-7, 2023.
axc, ca, soc, img
[C50] S. Huemer, A. Sadigh B., H. S. Shahhoseini, and N. Taherinejad, “Approximation-aware Task Partitioning on an Approximate-Exact MPSoC (AxE)”, IEEE Nordic Circuits and Systems Conference (NorCAS 2023), pp. 1-7, 2023.
[J28] N. Amirafshar, A. Sadigh B., H. S. Shahhoseini, and N. Taherinejad, “Carry Disregard Approximate Multipliers”, IEEE Transactions on Circuits and Systems I: Regular Papers (TCAS-I), pp. 1 - 13, 2023.
[P4] M. Najafi, M. Riahi Alam, N. Taherinejad, "Architecture and Method for Binary and Unary In-Memory Sorting", US Provisional patent, No. 0195621, 2023.
[J27] D. Milardovich, V. Souza, I. Zubarev, S. Tugin, J. Nieminen, C. Bigoni, F. Hummel, J. Korhonen, D. Aydogan, P. Lioumis, N. Taherinejad, T. Grasser, and R. Ilmoniemi, “DELMEP: A deep learning algorithm for automated annotation of motor evoked potential latencies”, Nature Scientific Reports , vol. 13, no. 1, 8225, 2023.
[C49] M. R. Alam, M. H. Najafi, N. Taherinejad, M. Imani, and L. Peng, “Stochastic Computing for Reliable Memristive In-Memory Computation”, ACM 33rd Great Lake Symposium on VLSI (GLSVLSI), pp. 1-5, 2023.
[J26] S. E. Fatemieh, M. R. Reshadinezhad and N. Taherinejad, “Fast and Compact Serial IMPLY-Based Approximate Full Adders Applied in Image Processing”, IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), vol. 13, no. 1, pp. 175 - 188, 2023.
[J25] P. Schober, S. N. Estiri, S. Aygun, A. H. Jalilvand, M. H. Najafi and N. Taherinejad, “Stochastic Computing Design and Implementation of a Sound Source Localization System”, IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), vol. 13, no. 1, pp. 295 - 311, 2023.
[C48] P. Schober, S. N. Estiri, S. Aygun, N. Taherinejad, and M. H. Najafi “Sound Source Localization using Stochastic Computing”, 41st International Conference on Computer-Aided Design (ICCAD 2022), pp. 1-9, 2022.
[C47]N. Taherinejad and S. S. Hamedan “Energy-Aware Adaptive Approximate Computing for Deep Learning Applications", 2022 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), pp. 1, 2022.
[C46] A. Sadigh B., S. Huemer, H. S. Shahhoseini, and N. Taherinejad, “AxE: An Approximate--Exact Multi-Processor System-on-Chip Platform”, Euromicro Conference on Digital Systems Design 2022 (DSD2022), pp. 1-7, 2022.
[C45] N. Amirafshar, A. Sadigh B., H. S. Shahhoseini, and N. Taherinejad, “An Approximate Carry Disregard Multiplier with Improved Mean Relative Error Distance and Probability of Correctness”, Euromicro Conference on Digital Systems Design 2022 (DSD2022), pp. 1-7, 2022.
[M12]N. Taherinejad, P. Perego and A. M. Rahmani “Mobile Health Technology: From Daily Care and Pandemics to their Energy Consumption and Environmental Impact", Mobile Networks and Applications (Editorial), pp. 1-5, 2022.
[C44] R. Rahimi Disfani, N. Taherinejad and M. Valinataj, “Operational Conditions Analysis for Memristive Stateful Logics - a Study on Imply and TMSL”, 20th IEEE International NEWCAS Conference, pp. 1-5, 2022.
[J24] M. R. Alam, M. H. Najafi, N. Taherinejad, M. Imani, and R.Gottumukkala, “Stochastic Computing in Beyond Von-Neumann Era: Processing Bit-Streams in Memristive Memory”, IEEE Transactions on Circuits and Systems II: Express Briefs (TCAS-II), vol. 65, no. 5, pp. 2423-2427, 2022.
[J23] D. Freismuth and N. Taherinejad, “On the Treatment and Diagnosis of Attention Deficit Hyperactivity Disorder with EEG Assistance”, Electronics Journal, vol. 11, no. 4, pp. 1-18, 2022.
[J22] M. R. Alam, M. H. Najafi and N. Taherinejad, “Sorting in Memristive Memory”, ACM Journal on Emerging Technologies in Computing Systems, pp. 1-20, 2022.
[C43] S. E. Fatemieh, M. R. Reshadinezhad and N. Taherinejad, “Approximate In-Memory Computing Using Memristive Imply Logic and its Application to Image Processing”, 2022 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1-5, 2022.
[J21] E. Hadizadeh Hafshejani, N. Taherinejad, R. Rabbani, Z. Azizi, S. Mohin, A. Fotowat-Ahmady, S. Mirabbasi, “Self-aware Data Processing for Power Saving in Resource-Constrained IoT Cyber-Physical Systems”, IEEE Sensors Journal, vol. 22, no. 4, pp. 3648-3659, 2022.
[C42] D. Hauer, F. Braun, P. S. Vogt, N. Taherinejad, M. D. Kobelrausch, F. Bauer, M. Mosbeck, A. Jantsch, “MELODI: An Online Platform for Mass Education of Digital Design - HDL to Remote FPGA”, The International Conference on Field-Programmable Logic and Applications (FPL), pp. 1, 2021.
[J20] P. Schober, M. H. Najafi, and N. Taherinejad, “High-Accuracy Multiply-Accumulate (MAC) Technique for Unary Stochastic Computing”, IEEE Transaction on Computers, vol. 71, no. 6, pp. 1425-1439, 2022.
stc
[B3] P. Perego, N. Taherinejad, M. Caon, “Wearables in Healthcare”, Springer, ISBN 978-3-030-76066-3, 2021.
[J19] A. Mozelli, N. Taherinejad, and A. Jantsch, “A Study on Confidence: an Unsupervised Multi-Agent Machine Learning Experiment”, IEEE Design & Test, vol. 39, no. 3, pp. 54-62, 2022.
[M11] L. Baischer, M. Wess, and N. Taherinejad, “Learning on Hardware: A Tutorial on Neural Network Accelerators and Co-Processors", arXiv:2104.09252, pp. 1-29, 2021.
[M10] D. Radakovits and N. Taherinejad, “BEhavioral Leakage and IntEr-cycle Variability Emulator model for ReRAMs (BELIEVER)”, arXiv:2103.04179, pp. 1-13, 2021.
[J18]N. Taherinejad, “SIXOR: Single-cycle In-memristor XOR”, IEEE Transactions on Very Large Scale Integration Systems (TVLSI), vol. 29, no. 5, pp. 925-935, 2021. -
[C41] C. Ossimitz and N. Taherinejad, “A Fast Line Segment Detector using Approximate Computing”, 2021 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1-5, 2021.
[M9] S. M. Laube and N. Taherinejad, “Device Variability Analysis for Memristive Material Implication”, arXiv:2101.07231, pp. 1-12, 2021.
[P3] M. Najafi, M. Riahi Alam, N. Taherinejad (all equal contribution), "Exact Stochastic Computing Multiplication in Memory", US Provisional patent, No. 63177014, 2021.
[C40] J. Bush, N. Taherinejad, E. Willegger, M. Wojcik, M. Kessler, J. Blatnik, I. Daktylidis, J. Ferdig, and D. Haslauer, “Nyuzi: An Open Source GPGPU for Graphics, Enhanced with OpenCL Compiler for Calculations”, IEEE Design, Automation and Test in Europe (DATE), pp. 1, 2021.
[C39] (Authors listed alphabetically) F. Bauer, F. Braun, D. Hauer, A. Jantsch, M. D. Kobelrausch, M. Mosbeck, N. Taherinejad, P. S. Vogt, “MELODI: A Mass e-Learning System for Deign, Test, and Prototyping of Digital Hardware”, IEEE Design, Automation and Test in Europe (DATE), pp. 1, 2021.
[J17] M. R. Alam, M. H. Najafi and N. Taherinejad, “Exact Stochastic Computing Multiplication in Memristive Memory”, IEEE Design and Test, vol. 38, no. 6, pp. 36-43, 2021.
[J16] E. Shamsa, A. Proebstl, N. Taherinejad, A. Kanduri, A. M. Rahmani and P. Liljeberg, S. Chakraborty, “UBAR: User and Battery Aware Resource Management for Smartphones”, ACM Transactions on Embedded Computing Systems (TECS), pp. 1-23, 2021.
[M8] M. R. Alam, M. H. Najafi and N. Taherinejad, “Sorting in Memristive Memory”, arXiv:2012.09918, pp. 1-10, 2020.
[C38]N. Taherinejad and Y. Rahmati, "Blood Pressure Estimation using a Single PPG Signal”,2nd EAI International Conference on Wearables in Healthcare (Healthwear 2020), pp. 1-9, 2020.
[J15] E. Hadizadeh Hafshejani, M. Elmi, N. Taherinejad, A. Fotowat-Ahmady, S. Mirabbasi, “A Low-Power Signal-Dependent Sampling Technique: Analysis, Implementation, and Applications”, IEEE Transactions on Circuits and Systems I: Regular Papers, pp. 1-14, 2020.
[J14]N. Taherinejad, A. Herkersdorf, and A. Jantsch, “Autonomous Systems, Trust and Guarantees”, IEEE Design & Test, vol. 39, no. 1, pp. 42-48, 2020.
[J13] M. Götzinger, D. Juhász, N. Taherinejad, E. Willegger, B. Tutzer, P. Liljeberg, A. Jantsch, and A. Rahmani, “RoSA: A Framework for Modeling Self-Awareness in Cyber-Physical Systems”, IEEE Access, pp. 1-22, 2020.
[P2]N. Taherinejad, "Single-Cycle Stateful XOR Logic for Memristors", Austrian patent office, No. A50862/2020 (pending), European patent office (PCT – international application), No. PCT/EP2021/076640, 2021 (pending)
[C37] D. Pollreisz and N. Taherinejad, "Efficient Respiratory Rate Extraction on Smartwatch”,42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society in conjunction with the 43rd Annual Conference of the Canadian Medical and Biological Engineering Society – EMBC 2020, pp. 1-4, 2020.
[M7]N. Taherinejad, “Can a wearable help decide who needs intensive care and when?”, Empatica Blog, 2020.
[J12] D. Radakovits, N. Taherinejad, M. Cai, T. Delaroche, and S. Mirabbasi, “A Memristive Multiplier using Semi-Serial IMPLY-based Adder”, IEEE Transactions on Circuits and Systems I: Regular Papers, pp. 1495-1506, 2020.
[C36] M. R. Alam, M. H. Najafi and N. Taherinejad, “Exact In-Memory Multiplication Based on Deterministic Stochastic Computing”, 2020 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1-5, 2020.
[J11] (Authors listed alphabetically) K. Bellman, N. Dutt, L. Esterle, A. Herkersdorf, A. Jantsch, C. Landauer, P. R. Lewis, M. Platzner, N. Taherinejad, and K. Tammemäe, “Self-aware cyber-physical systems”, ACM Transactions on Cyber-Physical Systems, vol. 4, no.4, pp. 1-26, 2020.
[C35] D. Pollreisz and N. Taherinejad, “Reliable Respiratory Rate Extraction using PPG”, 11th IEEE Latin American Symposium on Circuits and Systems – LASCAS 2020, pp. 1-4, 2020.
[M6]N. Taherinejad, “Functional or fictional”, IEEE Life Sciences Newsletter, Special Issue on Consumer Technology meets Health Care, pp.13-15, 2020.
[C34] E. Shamsa, A. Kanduri, N. Taherinejad, A. Proebstl, S. Chakraborty, A. M. Rahmani and P. Liljeberg, “User-centric Resource Management for Embedded Multi-core Processors”, International Conference on VLSI Design, pp. 1-6, 2020.
[J10] S. G. Rohani N. Taherinejad, D. Radakovits, “A Semi-Parallel Full-Adder in IMPLY Logic”, IEEE Transactions on Very Large Scale Integration Systems (TVLSI), vol. 28, no.1, pp. 297-301, 2020.
[J9] M. Götzinger, A. Anzanpour, I. Azimi, N. Taherinejad, A. Jantsch, A. Rahmani, and P. Liljeberg, “Confidence-enhanced early warning score system based on fuzzy logic”, ACM/Springer Mobile Networks and Applications, pp. 1-18, 2019.
[J8]N. Taherinejad and D. Radakovits, “From behavioral design of memristive circuits and systems to physical implementations”, IEEE Circuit and Systems (CAS) Magazine, vol. 19(4), pp. 6-18, 2019.
[J7] D. Pollreisz and N. Taherinejad, “Detection and removal of motion artifacts in PPG signals”, ACM/Springer Mobile Networks and Applications, pp. 1-11, 2019.
[J6] M. Götzinger, N. Taherinejad, H. A. Kholerdi, A. Jantsch, E. Willegger, T. Glatzl, A. M. Rahmani, T. Sauter, and P. Liljeberg. “Model-free monitoring with confidence”, International Journal of Computer Integrated Manufacturing, pp. 466-481, 2019.
[C33]N. Taherinejad, P. Lewis, A. Jantsch, A. Rahmani, L. Esterle, “Resource Constrained Self-Aware Cyber-Physical Systems (Tutorial)”, IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS* W), pp. 259-260, 2019.
[C32]N. Taherinejad, T. Delaroche, D. Radakovits, and S. Mirabbasi, “A semi-serial topology for compact and fast IMPLY-based memristive full adders”, IEEE New Circuits and Systems symposium (NewCAS), pp. 1-4, 2019.
[C31] A. Khorami, R. Saeidib, M. Sharifkhania, N. Taherinejad, “An Ultra Low-power Low-offset Double-tail Comparator”, IEEE New Circuits and Systems symposium (NewCAS), pp. 1-4, 2019.
[C30] F. Garber and N. Taherinejad, “TUK a social companion robot”, Austrian Robotic Workshop (OAGM), pp. 105-106, 2019
[M5]N. Taherinejad, “Wearable medical devices: Challenges and self-aware solutions”, IEEE Life Sciences Newsletter, Issue 2, pp.5-7, 2019.
[C29] D. Radakovits and N. Taherinejad, “Implementation and characterization of a memristive memory system”, In 2019 IEEE 32nd Canadian Conference on Electrical and Computer Engineering (CCECE), pp. 1-5, May 2019.
[C28]N. Taherinejad and A. Jantsch, “Improved machine learning using confidence”, IEEE 32nd Canadian Conference on Electrical and Computer Engineering (CCECE), pp. 1-5, May 2019
[C27] M. Götzinger, E. Willegger, N. Taherinejad, A. Jantsch, T. Sauter, T. Glatzl, P. Liljeberg, "Applicability of Context-Aware Health Monitoring to Hydraulic Circuits", The 44th Annual Conference of the IEEE Industrial Electronics Society (IECON), pp. 4712-4719, 2018.
[J5] L. C. Siafara, H. A. Kholerdi, A. Bratukhin, N. Taherinejad, A. Wendt, A. Jantsch, "SAMBA – an architecture for adaptive cognitive control of distributed Cyber-Physical Production Systems based on its self-awareness", Journal E & I Elektrotechnik und Informationstechnik, pp. 1-8, 2018.
[C26] H. A. Kholerdi, N. Taherinejad, A. Jantsch, “Enhancement of Classification of Small Data Sets Using Self-Awareness - an Iris Flower Case-Study”, The International Symposium on Circuits and Systems (ISCAS 2018), pp. 1-5, 2018.
[B2] P. Perego, A. M. Rahmani, N. Taherinejad, “Wireless Communication and Mobile Healthcare”, Springer, ISBN 978-3-319-98550-3, 2018.
[C25] A. Jantsch, A. Anzanpour, H. A. Kolerdi, I. Azimi, L. C. Siafara, A. Rahmani, N. Taherinejad, P. Liljeberg, N. Dutt, “Hierarchical Dynamic Goal Management for IoT Systems”, 19th International Symposium on Quality Electronic Design (ISQED 2018), pp. 370-375, 2018.
[C24] M. Götzinger, A. Anzanpour, I. Azimi, N. Taherinejad, A. M. Rahmani, “Enhancing the Self-Aware Early Warning Score System through Fuzzified Data Reliability Assessment”, 7th EAI International Conference on Wireless Mobile Communication and Healthcare (MobiHealth), pp. 3-11, 2017. ***BEST PAPER***
[C23] L. C. Siafara, H. A. Kholerdi, A. Bratukhin, N. Taherinejad, A. Wendt, A. Jantsch, A. Treytl, T. Sauter, “SAMBA: A Self-Aware Health Monitoring Architecture for Distributed Industrial Systems”, The 43rd Annual Conference of the IEEE Industrial Electronics Society (IECON), pp. 3512-3517, 2017.
[C22] D. Pollreisz, N. Taherinejad, “A Simple Algorithm for Emotion Recognition, Using Physiological Signals of a Smart Watch”, 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'17), pp. 2353-2356, 2017.
[C21]N. Taherinejad, S. Manoj P. D., M. A. Shami, “Self-aware sensing and attention-based data collection in Multi-Processor System-on-Chips”, 15th IEEE International New Circuits and Systems Conference (NEWCAS), pp. 81-84, 2017.
[C20] M. Götzinger, N. Taherinejad, H. A. Kholerdi, A. Jantsch, “On the Design of Context-Aware Health Monitoring without a Priori Knowledge; an AC-Motor Case-Study”, 2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE), pp. 1-5, 2017.
[C19] S. Rohani G., N. Taherinejad, “An Improved Algorithm for IMPLY Logic Based Memristive Full-Adder”, 2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE), pp. 1-4, 2017.
[C18] A. Anzanpour, I. Azimi, M. Götzinger, A. M. Rahmani, N. Taheinejad, P. Liljeberg, A. Jantsch, N. Dutt, “Self-Awareness in Remote Health Monitoring Systems using Wearable Electronics”, IEEE Design, Automation and Test in Europe (DATE), pp. 1056-1061, 2017.
[J4]N. Taherinejad, L. Lampe, S. Mirabbasi, “An Adaptive Impedance Matching System for Vehicular Power Line Communication”, IEEE Transactions on Vehicular Technology, vol. 66, no. 2, pp. 927-940, 2017.
[C17]N. Taherinejad, David Pollreisz, “Assessment of Physiological Signals during Happiness, Sadness, Pain or Anger”, 6th EAI International Conference on Wireless Mobile Communication and Healthcare (MobiHealth), pp. 107-114, 2016.
[C16] M. Götzinger, N. Taherinejad, A. Rahmani, P. Liljeberg, A. Jantsch, H. Tenhunen, “Enhancing the Early Warning Score System Using Data Confidence”, 6th EAI International Conference on Wireless Mobile Communication and Healthcare (MobiHealth), pp. 91-99, 2016.
[C15]N. Taherinejad, S. Manoj P. D., M. Rathmair, A. Jantsch, “Fully digital write-in scheme for multi-bit memristive storage”, 13th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE), Mexico City, Mexico, pp. 1-6, 2016.
[C14]N. Taherinejad, A. Jantsch, D. Pollreisz, “Comprehensive Observation and its Role in Self-Awareness; An Emotion Recognition System Example”, Position Papers of the 2016 The Federated Conference on Computer Science and Information Systems (FedCSIS) (IWCPS'16), Vol. 9, pp. 117-124, 2016.
[M4] N. Dutt, N. Taherinejad, “Self-awareness in cyber-physical systems”, 2016 29th International Conference on VLSI Design and 2016 15th International Conference on Embedded Systems (VLSID), pp. 5-6, 2016.
[J3] H. A. Kholerdi, N. Taherinejad, R. Ghaderi, Y. Baleghi, “Driver’s Drowsiness Detection Using an Enhanced Image Processing Technique Inspired by the Human Visual System”, Journal of Connection Science (Taylor & Francis), Volume 28, Issue 1, pp. 27-46, 2016.
[C13]N. Taherinejad, S. Manoj P. D., A. Jantsch, “Memristors' Potential for Multi-Bit Storage and Pattern Learning”, IEEE Proceedings of the 9th European Modelling Symposium (EMS 2015), pp. 450-455, 2015.
[J2] Z. Sheng, A. Kenarsari Anhari, N. Taherinejad, V. Leung, “A Multi-channel Medium Access Control Protocol for Vehicular Power Line Communication Systems”, IEEE Transactions on Vehicular Technology, Vol. 65 (2), pp. 542-554, 2015.
[C12]N. Taherinejad, L. Lampe, S. Mirabbasi, “Adaptive Impedance Matching Circuits for Vehicular Power Line Communication Systems”, IEEE Proceeding of International Symposium on Power Line Communications and its Application, pp. 214-219, 2014.
[C11]N. Taherinejad, R. Rosales, S. Mirabbasi, L. Lampe, “On the Design of Impedance Matching Circuits for Vehicular Power Line Communication Systems”, IEEE Proceeding of International Symposium on Power Line Communications and its Application, pp. 322-327, 2012.
[C10]N. Taherinejad, R. Rosales, L. Lampe, S. Mirabbasi, “Channel Characterization for Power Line Communication in a Hybrid Electric Vehicle”, IEEE Proceeding of International Symposium on Power Line Communications and its Application, pp. 328-333, 2012.
[C9]N. Taherinejad, R. Rosales, S. Mirabbasi, L. Lampe, “A Study on Access Impedance for Vehicular Power Line Communications”, IEEE Proceeding of International Symposium on Power Line Communications and its Application, pp. 440-445, 2011.
[C8]N. Taherinejad, A. Abrishamifar, “A New High Speed, Low Power Adder: Using Hybrid Analog-Digital Circuits”, IEEE Proceeding of European Conference on Circuit Theory and Design, pp. 623-626, 2009.
[C7]N. Taherinejad, “Highly Reliable Harmony Search Algorithm”, IEEE Proceeding of European Conference on Circuit Theory and Design, pp. 818-822, 2009.
[M2]N. Taherinejad, “An introduction to robotics - Part I”, Rayaneh Magazine, Vol. 193, pp.74-78, 2009.
[C6]N. Taherinejad, A. Abrishamifar, H. S. Shahhoseini, “An Improved Current Conveyor, Approaching the Ideal one”, 17th Iranian Conference on Electrical Engineering, Vol. 1, pp. 273-277, 2009.
[M1]N. Taherinejad, “Welcome to the world of robots”, Rayaneh Magazine, Vol. 191, pp.71-76, 2009.
[C5]N. Taherinejad, H. S. Shahhoseini, A. Abrishamifar, "A Completely Radix-4 Modular Division Algorithm over Prime Galois Field, GF(p)", 17th Iranian Conference on Electrical Engineering, Vol 6, pp. 130-133, 2009.
[J1] H. M. Naimi, N. Taherinejad, "New robust and efficient ant colony algorithms: Using new interpretation of local updating process", Elsevier Journal of Expert Systems with Applications, Vol. 36 (1), pp. 481-488, October 2009.
[C4]N. Taherinejad, H. S. Shahhosseini, “A new Digital Multiplier/Divider Architecture, Via Hybrid Analog-Digital Processing”, IEEE Proceeding Of Mixdes Conference, pp. 181-185, 2008.
[C3]N. Taherinejad, S. A. Mirbozorgi, S. S. Rezaei D., “Tuning the Harmony Memory Considering Rate (HMCR) parameter of Harmony Search Algorithm”, 2nd Joint Conference on Intelligent Systems and Fuzzy Systems, 2008.
[C2]N. Taherinejad, H. MiarNaimi, “Robust and Efficient Ant Colony Algorithm; Using New Local Updating Rule”, IEEE International Conference on Signal Processing and Communications (ICSPC 2007), pp. 161-164, 2007.
[C1]N. Taherinejad, H. MiarNaimi, “Improving the Robustness and Performance of Ant Colony Algorithm”, 14th Iranian Conference on Electrical Engineering, 2006.