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Univ.Ass. Nima Taherinejad , PhD
Univ.Ass. Nima Taherinejad, PhD

Contact Information

Telephon:
+43 (1) 58801 38452
E-Mail:
nima.taherinejad@tuwien.ac.at
Room:
CA0229
TISS:
TISS

Further information:

Please send me an email if you would like to fix an appointment.

Curriculum Vitae

Nima Taherinejad is a Ph.D. graduate of The University of British Columbia, Vancouver, BC, Canada. He is currently a Post-doctorate University Assistant at the TU Wien (formerly known also as Vienna University of Technology), Vienna, Austria, where his main areas of research include systems on chip, self-awareness in cyber-physical systems, embedded systems, emerging technologies (mainly memristive circuits and systems), and robotics. He was the general chair and TPC chair of MobiHealth 2017, chair of the AUTO21 HQP Advisory Committee and a member of board of directors of AUTO21 Center of Excellence, among other executive roles. He has authored a book and published in/served as a reviewer for various journals and conferences. Dr. Taherinejad has received several awards and scholarships from universities and conferences he has attended.

Unfold most important publications

Most important publications


An Improved Algorithm for IMPLY Logic Based Memristive Full-Adder @ CCECE 2017
On the Design of Context-Aware Health Monitoring Without a Priori Knowledge; an AC-Motor Case-Study @ CCECE 2017
Self-aware Sensing and Attention-based Data Collection in Multi-Processor System-on-Chips @ NewCAS 2017
A Simple Algorithm for Emotion Recognition, Using Physiological Signals of a Smart Watch @ EMBC 2017
Self-Awareness in Remote Health Monitoring Systems using Wearable Electronics @ DATE 2017
Comprehensive Observation and its Role in Self-Awareness; An Emotion Recognition System Example @ FedCSIS
Unfold to show all publications (at this affiliation)

All publications

  • P. Parego, A. Rahmani, N. TaheriNejad (Ed.), Wireless Communication and Mobile Healthcare, Springer, 2018.
  • H. Kholerdi, N. TaheriNejad, R. Ghaderi, Y. Baleghi, Driver's Drowsiness Detection Using an Enhanced Image Processing Technique Inspired by the Human Visual System. Connection Science, vol. 28, no. 1, 2016, pp. 27 - 46.
  • 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, 2017, pp. 927 - 940.
  • L. Siafara, H. Kholerdi, A. Bratukhin, N. TaheriNejad, A. Jantsch, SAMBA - An architecture for adaptive cognitive control of distributed Cyber-Physical Production Systems based on its self-awareness.. E&I Elektrotechnik und Informationstechnik, vol. 135, no. 3, 2018, pp. 270 - 277.
  • M. Götzinger, N. TaheriNejad, H. Kholerdi, A. Jantsch, E. Willegger, T. Glatzl, A. M. Rahmani, T. Sauter, P. Liljeberg, Model-free condition monitoring with confidence. International Journal of Computer Integrated Manufacturing, vol. 32, no. 4-5, 2019, pp. 466 - 481.
  • N. TaheriNejad, D. Radakovits, From behavioral design of memristive circuits and systems to physical implementations. IEEE Circuits and Systems Magazine, vol. 19, no. 4, 2019, pp. 6 - 18.
  • K. Bellmann, L. Christopher, N. Dutt, L. Esterle, A. Herkersdorf, A. Jantsch, N. TaheriNejad, P. Lewis, M. Platzner, K. Tammemäe, Self-aware Cyber-Physical Systems. ACM Transactions on Cyber-Physical Systems, vol. 4, no. 38, 2020, pp. 1 - 26.
  • S. Ganjeheizadeh Rohani, N. TaheriNejad, D. Radakovits, A Semiparallel Full-Adder in IMPLY Logic. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 28, no. 1, 2020, pp. 297 - 301.
  • M. Götzinger, D. Juhasz, N. TaheriNejad, E. Willegger, B. Tutzer, P. Liljeberg, A. Jantsch, A. M. Rahmani, RoSA: A Framework for Modeling Self-Awareness in Cyber-Physical Systems. IEEE Access, vol. 8, 2020, pp. 141373 - 141394.
  • D. Radakovits, N. TaheriNejad, M. Cai, T. Delaroche, S. Mirabbasi, A Memristive Multiplier using Semi-Serial IMPLY-based Adder. IEEE Transactions on Circuits and Systems, vol. 67, no. 5, 2020, pp. 1495 - 1506.
  • H. Kholerdi, N. TaheriNejad, A. Jantsch, Enhancement of Classification of Small Data Sets Using Self-Awareness - an Iris Flower Case-Study, 2018 IEEE International Symposium on Circuits and Systems (ISCAS), IEEE International Symposium on Circuits and Systems (ISCAS), 2018, pp. 1 - 5.
  • G. Fabian, N. TaheriNejad, TUK a social companion robot, Proceedings of the ARW & OAGM Workshop 2019, ARW & OAGM Workshop, 2019, pp. 105 - 106.
  • D. Radakovits, N. TaheriNejad, Implementation and characterization of a memristive memory system, IEEE Canadian Conference of Electrical and Computer Engineering (CCECE), IEEE, 2019, pp. 1 - 4.
  • N. TaheriNejad, P. Lewis, A. Jantsch, A. Rahmani, L. Esterle, Resource Constrained Self-Aware Cyber-Physical Systems (Tutorial), 2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W), IEEE, 2019, pp. 259 - 260.
  • D. Pollreisz, N. TaheriNejad, Efficient Respiratory Rate Extraction on Smartwatch, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), IEEE, 2020, pp. 5988 - 5991.
  • D. Pollreisz, N. TaheriNejad, Reliable Respiratory Rate Extraction using PPG, 2020 IEEE 11th Latin American Symposium on Circuits & Systems (LASCAS), IEEE, 2020, pp. 1 - 4.
  • M. Riahi Alam, H. Najafi, N. TaheriNejad, Exact In-Memory Multiplication Based on Deterministic Stochastic Computing, 2020 IEEE International Symposium on Circuits and Systems (ISCAS), IEEE, 2020, pp. 1 - 5.
  • E. Shamsa, A. Kanduri, N. TaheriNejad, A. Proebstl, S. Chakraborty, A. M. Rahmani, P. Liljeberg, User-centric Resource Management for Embedded Multi-core Processors, 2020 33rd International Conference on VLSI Design and 2020 19th International Conference on Embedded Systems (VLSID), IEEE, 2020, pp. 43 - 48.
  • N. TaheriNejad, S. Pudukotai Dinakarrao, A. Jantsch, Memristors' Potential for Multi-Bit Storage and Pattern Learning, in IEEE Proceedings of the 9th European Modelling Symposium (EMS 2015), p. 6, Madrid, Spain, 2015.
  • N. TaheriNejad, A. Jantsch, D. Pollreisz, Comprehensive Observation and its Role in Self-Awareness; An Emotion Recognition System Example, in Position Papers of the 2016 Federated Conference on Computer Science and Information Systems, 2016, pp. 117 - 124.
  • N. TaheriNejad, S. Pudukotai Dinakarrao, M. Rathmair, A. Jantsch, Fully digital write-in scheme for multi-bit memristive storage, in 13th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE), 2016, pp. 1 - 6.
  • M. Götzinger, N. TaheriNejad, A. Rahmani, P. Liljeberg, A. Jantsch, H. Tenhunen, Enhancing the Early Warning Score System Using Data Confidence, in 6th EAI International Conference on Wireless Mobile Communication and Healthcare, p. 8, Milan, 2016.
  • N. TaheriNejad, D. Pollreisz, Assessment of Physiological Signals during Happiness, Sadness, Pain or Anger, in 6th EAI International Conference on Wireless Mobile Communication and Healthcare, p. 8, Milan, 2016.
  • A. Anzanpour, I. Azimi, M. Götzinger, A. Rahmani, N. TaheriNejad, P. Liljeberg, A. Jantsch, N. Dutt, Self-Awareness in Remote Health Monitoring Systems using Wearable Electronics, in Proceedings of the Internation Conference of Design, Automation and Test in Europe. (DATE17), p. 6, Lausanne, Switzerland, 2017.
  • S. Ganjeheizadeh Rohani, N. TaheriNejad, An improved algorithm for IMPLY logic based memristive Full-adder, in An improved algorithm for IMPLY logic based memristive Full-adder, p. 4, Canada, 2017.
  • M. Götzinger, N. TaheriNejad, H. Kholerdi, A. Jantsch, On the Design of Context-Aware Health Monitoring without a Priori Knowledge; an AC-Motor Case-Study, in The 30th Annual IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), p. 5, Windsor, 2017.
  • N. TaheriNejad, M. Shami, S. Pudukotai Dinakarrao, Self-Aware Sensing and Attention-Based Data Collection in Multi-Processor System-on-Chips, in 2017 15th IEEE International New Circuits and Systems Conference (NEWCAS), 2017, pp. 81 - 84.
  • D. Pollreisz, N. TaheriNejad: A Simple Algorithm for Emotion Recognition, Using Physiological Signals of a Smart Watch. in The 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC´17), p. 2353, Jeju, South Korea, 2017.
  • L. Siafara, H. Kholerdi, A. Bratukhin, N. TaheriNejad, A. Wendt, A. Jantsch, A. Treytl, T. Sauter: SAMBA: A Self-Aware Health Monitoring Architecture for Distributed Industrial Systems. in IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, p. 6, Beijing, China, 2017.
  • M. Götzinger, A. Anzanpour, I. Azimi, N. TaheriNejad, A. Rahmani, Enhancing the Self-Aware Early Warning Score System through Fuzzified Data Reliability Assessment, in 7th EAI International Conference on Wireless Mobile Communication and Healthcare, p. 8, Vienna, 2017.
  • A. Jantsch, A. Anzanpour, H. Kholerdi, I. Azimi, L. Siafara, A. Rahmani, N. TaheriNejad, P. Liljeberg, N. Dutt, Hierarchical Dynamic Goal Management for IoT Systems, in Proceedings of the IEEE International Symposium on Quality Electronic Design (ISQED), 2018, pp. 370 - 375.
  • M. Götzinger, E. Willegger, N. TaheriNejad, A. Jantsch, T. Sauter, T. Glatzl, P. Liljeberg, Applicability of Context-Aware Health Monitoring to Hydraulic Circuits, in Proceedings of the 44th Annual Conference of the IEEE Industrial Electronics Society The IECON 2018 (invited), 2018, pp. .
  • N. Dutt, N. TaheriNejad, Self-Awareness in Cyber-Physical Systems, in Presentation: VLSI Design Conference (invited), Hyderabad, India.