Iman Ardekani

National Head of Discipline & Senior Lecture, Mathematics & Data Analytics Discipline Group
PhD in Mathematics; PhD, MSc, BSc(Hons) in Electrical and Computer Engineering

Email: iman.ardekani@nd.edu.au

  • Biography

    Iman Ardekani is a dedicated academic with multidisciplinary expertise spanning mathematics, computer science, and electrical engineering. Holding dual PhDs in Mathematics and Electrical Engineering, he has established a strong foundation in these fields.

    Iman has demonstrated research excellence, contributing to 12 funded research grants and publishing over 80 papers in international journals and conference proceedings.

    In addition to his research achievements, Iman is a committed educator with extensive experience teaching STEM subjects to diverse student groups. His dedication to both research and teaching underscores his significant contributions to academia and beyond.

    ORCID

  • Teaching areas

    • Linear Algebra
    • Calculus
    • Computational Modeling
    • Data Science and AI
    • Computational Intelligence

  • Research expertise and supervision

    • Bayesian Data Analysis and Uncertainty Quantification
    • Stochastic Optimisation and Control Theory
    • Computational Intelligence and Deep Learning

  • Journal articles and proceedings

    • P. K. Karn, I. Ardekani, and W. Abdulla, “Generalized framework for liquid neural network upon sequential and non-sequential tasks,” Mathematics, vol. 12, no. 16, 2024. doi: 10.3390/ math12162525
    • A. T. Le, M. Shakiba, I. Ardekani, et al., “Optimizing plant disease classification with hybrid convolutional neural network–recurrent neural network and liquid time-constant network,” Applied Sciences, Special Issue in Multimedia Signal Processing: Theory, Methods and Appli- cations, vol. 14, no. 19, 2024. doi: 10.3390/app14199118
    • A. T. Le, M. Shakiba, and I. Ardekani, “Tomato disease detection with lightweight recurrent and convolutional deep learning models for sustainable and smart agriculture,” Frontiers in Sustainability, vol. 5, pp. 1–6, 2024. doi: 10.3389/frsus.2024.1383182
    • S. A. Chishti, I. Ardekani, and S. Varastehpour, “AI-enhanced personality identification of websites,” Information, Special Issue in Recent Developments and Implications in Web Anal- ysis, vol. 15, no. 10, 2024. doi: 10.3390/info15100623
    • H. Sharifzadeh, A. Keivanmarz, and I. Ardekani, “Vein pattern visualization for csam in- vestigation using deep learning,” Australian Journal of Forensic Sciences, vol. 56, no. sup1,pp. 167–169, 2024. doi: 10.1080/00450618.2024.2324774
    • I. Ardekani et al., “Dynamic control of active noise control systems with simplified secondary path models,” 2023 IEEE 12th Global Conference on Consumer Electronics (GCCE), Nara, Japan, 2023, pp. 424-425. http://doi.org/10.1109/GCCE59613.2023.10315681
    • I. Ardekani and R. Nicholson “A Bayesian approach to online estimation of airgap spatial variation in induction machines with static eccentricity,” Applied Mathematical Modelling, vol. 128, pp. 571-587, 2024. https://doi.org/10.1016/j.apm.2024.01.035
    • W. Dassanayake, I. Ardekani, C. Jayawardena, H. Sharifzadeh and N Gamage, “Forecasting accuracy of Holt-Winters exponential smoothing: evidence from New Zealand,” New Zealand Journal of Applied Business Research, vol. 17, no. 1, pp. 11–30, 2020.
    • V. T. Nguyen, C. Jayawardena and I. Ardekani, “A navigation model for side–by–side robotic wheelchairs based on optimising social comfort in crossing situations,” Robotics and Autonomous Systems, vol. 100, pp. 27–40, Feb 2018. http://doi.org/10.1016/j.robot.2017.10.008
    • H. Sharifzadeh, A. Haji, I. V. McLoughlin and I. Ardekani, “A training–based speech regeneration approach with cascading mapping models,” Computers & Electrical Engineering, vol. 62, pp. 601–611, Aug 2017. http://doi.org/10.1016/j.compeleceng.2017.06.007
    • I. Ardekani et al., “A statistical inverse problem approach to online secondary path modelling in active noise control,” IEEE Transactions on Audio, Speech, and Language Processing, vol. 24, no. 1, pp. 54–64, Jan 2016. http://doi.org/10.1109/TASLP.2015.2495249
    • H. M. Deylami, M. Mohaghegh, A. Sarrafzadeh, M. McCauley, I. Ardekani, and T. Kingston, “Capture the talent: secondary school education with cyber security competition,” International Journal in Foundations of Computer Science and Technology (IJFCST), vol. 5, no.6. pp.55–66, Nov 2015.
    • I. Ardekani and W. Abdulla, “Active noise control in three dimensions,” IEEE Transactions on Control Systems Technology, vol. 22, no. 6, pp. 2150–2159, Nov 2014. http://doi.org/10.1109/TCST.2014.2301457
    • I. Ardekani and W. Abdulla, “Adaptive signal processing algorithms for creating spatial zones of quiet,” Digital Signal Processing, vol. 27, pp. 129–139, April 2014. http://doi.org/10.1016/j.dsp.2014.01.001
    • S. U. Rehman, S. Alam, and I. Ardekani, “Chapter 15: Security of wireless devices using biological–inspired RF fingerprinting technique,” Book Chapter in Biologically-Inspired Techniques for Knowledge Discovery and Data Mining, pp. 311–330, 2014. http://doi.org/10.4018/978–1–4666–6078–6.ch015
    • S. U. Rehman, S. Alam, and I. Ardekani, “An overview of radio frequency fingerprinting for low–end devices,” International Journal of Mobile Computing and Multimedia Communications, vol. 6, no.3, pp. 1–21, July 2014. http://doi.org/10.4018/IJMCMC.2014070101
    • I. Ardekani and W. Abdulla, “Stochastic modelling and analysis of filtered–x least–mean–square adaptation algorithm,” IET Signal Processing, vol. 7, no. 6, pp. 486–496, Aug 2013. http://doi.org/10.1049/iet–spr.2012.0090
    • I. Ardekani and W. Abdulla, “Root locus analysis and design of the adaptation process in active noise control,” The Journal of Acoustical Society of America, vol. 132, no. 4, pp. 2313–2324, 2012. http://doi.org/10.1121/1.4746018
    • I. Ardekani and W. Abdulla, “Effects of imperfect secondary path modelling on the performance of adaptive active noise control systems,” IEEE Transaction on Control Systems Technology, vol. 20, no. 5, pp. 1252–1262, Sep 2012. http://doi.org/10.1109/TCST.2011.2161762
    • I. Ardekani and W. Abdulla, “On the stability of adaptation process in active noise control systems,” The Journal of Acoustical Society of America, vol. 129, no. 1, pp. 173–185, 2011. http://doi.org/10.1121/1.3514375
    • I. Ardekani and W. Abdulla, “Filtered weights FxLMS adaptation algorithm: analysis, design, and implementation,” Journal of Adaptive Control and Signal Processing, vol. 25, no. 11, pp. 1023–1037, 2011. http://doi.org/10.1002/acs.1257
    • I. Ardekani and W. Abdulla, “On the convergence of real-time active noise control systems,” Signal Processing, vol. 91, no. 5, pp. 1262–1274, May 2011. http://doi.org/10.1016/j.sigpro.2010.12.012
    • I. Ardekani and W. Abdulla, “Theoretical convergence analysis of FxLMS algorithm,” Signal Processing, vol. 90, no. 12, pp. 3046–3055, Dec 2010. http://doi.org/10.1016/j.sigpro.2010.05.009

  • Conference papers

    • K. Dangwal, I. Ardekani, S. Varastehpour and A. Sarrafzadeh, "Bioacoustic Data Augmentation Techniques for Data-Driven Apiculture," 2024 IEEE International Conference on Future Machine Learning and Data Science (FMLDS), Sydney, Australia, 2024, pp. 110-115, doi: 10.1109/FMLDS63805.2024.00031.
    • R. Adlakha, S. Varastehpour, M. Shakiba, and I. Ardekani, “Comparative analysis of long- short term memory, gated recurrent unit and extreme gradient boosting for forex prediction: A deep learning approach,” in 2024 1st International Conference on Innovative Engineering Sci- ences and Technological Research (ICIESTR), 2024, pp. 1–6. doi: 10.1109/ICIESTR60916. 2024.10798180
    • A. Sharma, S. Varastehpour, I. Ardekani, and H. Sharifzadeh, “Bee disease varroa pre- diction: Utilizing convolutional neural networks with augmentation for robust detection and identification of honeybee infection,” in 2024 1st International Conference on Innovative En- gineering Sciences and Technological Research (ICIESTR), 2024, pp. 1–6. doi: 10.1109/ ICIESTR60916.2024.10798343
    • C. Wang, H. Sharifzadeh, S. Varastehpour and I. Ardekani, “Analysis and comparison of deepfakes detection methods for cross-library generalisation,” 2023 20th Annual International Conference on Privacy, Security and Trust (PST), Copenhagen, Denmark, 2023. http://doi.org/10.1109/PST58708.2023.10320189
    • I. Ardekani et al., “Practical active noise control algorithms in Bayesian inversion framework,” 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), Maldives, 2022. https://doi.org/10.1109/ICECCME55909.2022.9988219
    • M. Kaur, I. Ardekani, H. Sharifzadeh and S. Varastehpour, “A CNN-based identification of honeybees’ infection using augmentation,” 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), Maldives, 2022. https://doi.org/10.1109/ICECCME55909.2022.9988275
    • I. Ardekani et al., “Acoustic signal processing systems for intelligent beehive monitoring,” 2022 Conference of the Acoustical Society of New Zealand (ASNZ), Wellington, New Zealand, 2022, pp. 1-4.
    • I. Ardekani et al., “Bayesian active noise control,” 2022 Conference of the Acoustical Society of New Zealand (ASNZ), Wellington, New Zealand, 2022, pp. 1-6.
    • W. Dassanayake, I. Ardekani, N Gamage, C. Jayawardena, and H. Sharifzadeh, “Effectiveness of stock index forecasting using ARIMA model: evidence from New Zealand,” 2021 3rd International Conference on Advancements in Computing (ICAC), Colombo, Sri Lanka, 2021, pp. 13-18. http://doi.org/10.1109/ICAC54203.2021.9671132
    • M. Sabaee, H. Sharifzadeh, and  I. Ardekani, “Measurement of formant frequency in /hVd/ words of distorted speech in adult New Zealanders,” 2021 IEEE Region 10 Symposium (TENSYMP), Jeju, Korea, Republic of, 2021, pp. 1-6. https://doi.org/10.1109/TENSYMP52854.2021.9550969
    • I. Ardekani, J. Kaipio, and D. Castello, “Bayesian damage identification of simply supported beams from elastostatic data,” Inverse Problems in Science and Engineering, vol. 29, no. 13, pp. 2895–2922, 2021. doi: 10.1080/17415977.2021.1955875
    • S. Varastehpour, H. Sharifzadeh, and I. Ardekani, “A comprehensive review of deep learning algorithms,” ePress Occasional and Discussion Papers Series, vol. 2021, no. 4, 2021. doi: 10.34074/ocds.092
    • W. Dassanayake, I. Ardekani, C. Jayawardena, et al., “Forecasting accuracy of holt-winters exponential smoothing: Evidence from new zealand,” New Zealand Journal of Applied Busi- ness Research, vol. 17, no. 1, pp. 11–30, 2020.
    • S. Varastehpour, H. Sharifzadeh, I. Ardekani, et al., “Human biometric traits: A system- atic review focusing on vascular patterns,” ePress Occasional and Discussion Papers Series, vol. 2020, no. 3, 2020. doi: 10.34074/ocds.086
    • R. Peng, I. Ardekani, H. Sharifzadeh, “An acoustic signal processing system for identification of queen-less beehives,” 2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Auckland, New Zealand, 2020, pp. 57-63.
    • J. Zhao, I. Ardekani, and S. Pang, “Deep learning for combo object detection,” 2019 26th International Conference on Neural Information Processing (ICONIP), Sydney, NSW, Australia, 2019, pp. 125-137, http://doi.org/10.1007/978-3-030-36708-4_11
    • S. Pour, H. Sharifzadeh, I. Ardekani, X. Francis and N. Baghaei, “An adaptive method for vein recognition enhancement using deep learning,” 2019 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), Ajman, United Arab Emirates, 2019. http://doi.org/10.1109/ISSPIT47144.2019.9001834
    • S. Pour, H. Sharifzadeh, I. Ardekani, and X. Francis, “Vein pattern visualisation and feature extraction using sparse auto-encoder for forensic purposes,” 2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), Taipei, Taiwan, 2019. https://doi.org/10.1109/AVSS.2019.8909860
    • I. Ardekani et al., “A novel adaptive active noise control algorithm based on Tikhonov regularisation,” 2019 10th International Conference on Signal Processing Systems, Singapore, 2019, SPIE 1107109. http://doi.org/10.1117/12.2520450
    • M. W. Munir, W. Abdulla, and I. Ardekani, “Psychoacoustically motivated active noise control at remote locations,” 2019 Australian & New Zealand Control Conference (ANZCC), Auckland, New Zealand, 2019, pp. 72-75. http://doi.org/10.1109/ANZCC47194.2019.8945659
    • I. Ardekani et al., “Bayesian parameter estimation of Euler-Bernoulli beams,” 2019 10th International Conference on Signal Processing Systems, Singapore, 2019, SPIE 110710A. http://doi.org/10.1117/12.2520452
    • W. Dassanayake, C. Jayawardena, I. Ardekani, et al., “Models applied in stock market predic- tion: A literature survey,” ePress Occasional and Discussion Papers Series, vol. 2019, no. 1, 2019. doi: 10.34074/ocds.12019
    • V. T. Nguyen, C. Jayawardena, and I. Ardekani, “A navigation model for side-by-side robotic wheelchairs for optimizing social comfort in crossing situations,” Robotics and Autonomous Systems, vol. 100, pp. 27–40, 2017. doi: 10.1016/j.robot.2017.10.008
    • M. E. Sabaee, H. Sharifzadeh, I. Ardekani and J. Allen, “A preliminary acoustic analysis of Laryngectomised speech in adult New Zealanders,” 2018 16th International Workshop on Acoustic Signal Enhancement (IWAENC), Tokyo, Japan, 2018, pp. 271-275. http://doi.org/10.1109/IWAENC.2018.8521374
    • J. Zhao, S. Pang, I. Ardekani, Y. Sekiya, and D. Miyamoto, “Task and instance quadratic ordering for active online multitask learning,” 2018 25th International Conference on Neural Information Processing (ICONIP), Siem Reap, Cambodia, 2018, pp. 435-447. http://doi.org/10.1007/978-3-030-04182-3_38
    • B. Barmada, N. Alobaidi, I. Ardekani, G. Ramirez-Prado, and M. E. Sabaee, “Evaluating VANET routing protocols for Auckland area,” 2018 Eleventh International Conference on Mobile Computing and Ubiquitous Network (ICMU), Auckland, New Zealand, 2018. http://doi.org/10.23919/ICMU.2018.8653258
    • R. Jain, P. S. Adhikary, G. Ramirez-Prado, B. Barmada, and I. Ardekani, “A route map for wireless sensor networks over large coverage area,” 2018 Eleventh International Conference on Mobile Computing and Ubiquitous Network (ICMU), Auckland, New Zealand, 2018. http://doi.org/10.23919/ICMU.2018.8653627
    • I. Ardekani et al., “Maximum a posteriori adjustment of adaptive transversal filters in active noise control,” 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Kuala Lumpur, Malaysia, 2017, pp. 118-123. http://doi.org/10.1109/APSIPA.2017.8282012
    • H. Sharifzadeh, H. Mehdinezhad, J. Allen, I. McLoughlin, and I. Ardekani, “Formant smoothing for quality improvement of post-laryngectomised speech reconstruction,” 2017 International Conference on Orange Technologies (ICOT), Singapore, 2017, pp. 11-14. http://doi.org/10.1109/ICOT.2017.8336076
    • M. Munir, W. Abdulla, I. Ardekani, and N. Patel, “Physical classification and recent developments of active noise control systems,” 9th International Conference on Signal Processing Systems (ICSPS), Auckland, New Zealand, 2017, pp. 180-187. http://doi.org/10.1145/3163080.3163099
    • H. Sharifzadeh, A. HajiRassouliha, I. McLoughlin, et al., “A training-based speech regenera- tion approach with cascading mapping models,” Computers & Electrical Engineering, vol. 62, pp. 601–611, 2017. doi: 10.1016/j.compeleceng.2017.06.007
    • I. Ardekani, J. P. Kaipio, A. Nasiri, et al., “A statistical inverse problem approach to online secondary path modeling in active noise control,” IEEE Transactions on Audio, Speech and Language Processing, vol. 24, no. 1, pp. 54–64, 2016. doi: 10.1109/TASLP.2015.2495249
    • H. M. Deylami, R. C. Muniyandi, I. Ardekani, and A. Sarrafzadeh, “Taxonomy of malware detection techniques: A systematic literature review,” 2016 14th Annual Conference on Privacy, Security and Trust (PST), Auckland, New Zealand, 2016, pp. 629-636. http://doi.org/10.1109/PST.2016.790699
    • H. R. Sharifzadeh, A. HajiRassouliha, I. V. McLoughlin, I. Ardekani and J. E. Allen, “Phonated speech reconstruction using twin mapping models,” 2015 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), Abu Dhabi, United Arab Emirates, 2015. http://doi.org/10.1109/ISSPIT.2015.7394247
    • S. U. Rehman, K. W. Sowerby, S. Alam, I. Ardekani and D. Komosny, “Effect of channel impairments on radiometric fingerprinting,” 2015 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), Abu Dhabi, United Arab Emirates, 2015, pp. 415-420. http://doi.org/10.1109/ISSPIT.2015.7394371
    • H. Sharifzadeh, I. Ardekani, and I. V. McLoughlin, “Comparative whisper vowel space for Singapore English and British English accents,” 2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA), Hong Kong, China, 2015, pp. 258-262. http://doi.org/10.1109/APSIPA.2015.7415516
    • I. Ardekani, H. Sharifzadeh, S. Rehman and W. H. Abdulla, “Efficient FxLMS algorithm with simplified secondary path models,” 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), South Brisbane, QLD, Australia, 2015, pp. 609-613. http://doi.org/10.1109/ICASSP.2015.7178041
    • H. Mohaddes Deylami, M. Mohaghegh, A. H. Sarrafzadeh, et al., “Capture the talent: Sec- ondary school education with cyber security competition,” International Journal in Founda- tions of Computer Science and Technology, vol. 5, no. 6, pp. 55–66, 2015. doi: 10.5121/ ijfcst.2015.5606
    • H. Mohaddes Deylami, I. Ardekani, R. C. Muniyandi, et al., “Effects of software security on software development life cycle and related security issues,” International Journal of Compu- tational Intelligence and Information Security, vol. 6, no. 8, pp. 4–12, 2015
    • I. Ardekani and W. H. Abdulla, “Active noise control in three dimensions,” IEEE Transactions on Control Systems Technology, vol. 22, no. 6, pp. 2150–2159, 2014. doi: 10.1109/TCST. 2014.2301457
    • I. Ardekani and W. H. Abdulla, “Adaptive signal processing algorithms for creating spatial zones of quiet,” Digital Signal Processing, vol. 27, pp. 129–139, 2014, issn: 1051-2004. doi: 10.1016/j.dsp.2014.01.001
    • S. U. Rehman, S. Alam, and I Ardekani, “Security of wireless devices using biological-inspired rf fingerprinting technique,” in Biologically-Inspired Techniques for Knowledge Discovery and Data Mining, S. Alam, G. Dobbie, Y. Koh, et al., Eds., IGI Global Scientific Publishing, 2014, pp. 311–330. doi: 10.4018/978-1-4666-6078-6.ch015
    • S. U. Rehman, S. Alam, and I. Ardekani, “An overview of radio frequency fingerprinting for low-end devices,” International Journal of Mobile Computing and Multimedia Communica- tions (IJMCMC), vol. 6, no. 3, pp. 1–21, 2014. doi: 10.4018/IJMCMC.2014070101
    • S. U. Rehman, K. W. Sowerby, S. Alam and I. Ardekani, “Portability of an RF fingerprint of a wireless transmitter,” 2014 IEEE Conference on Communications and Network Security, San Francisco, CA, USA, 2014, pp. 151-156. http://doi.org/10.1109/CNS.2014.6997481
    • S. U. Rehman, K. W. Sowerby, S. Alam and I. Ardekani, “Radio frequency fingerprinting and its challenges,” 2014 IEEE Conference on Communications and Network Security, San Francisco, CA, USA, 2014, pp. 496-497. http://doi.org/10.1109/CNS.2014.6997522
    • I. Ardekani and W. Abdulla, “Adaptive active control of free space acoustic noise,” Proceedings of Meetings on Acoustics, Ottawa, Canada, 2013, vol. 19, no. 1, pp. 055044.1-055044. http://doi.org/10.1121/1.4800892
    • I. Ardekani, W. H. Abdullah and S. U. Rehman, “Remote FxLMS algorithm for active control of sound in remote locations,” Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific, Siem Reap, Cambodia, 2014. http://doi.org/10.1109/APSIPA.2014.7041553
    • I. Ardekani and W. Abdulla, “Stability of residual acoustic noise variance in active control of stochastic noise,” 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, Vancouver, Canada, 2013, pp. 379-382. http://doi.org/10.1109/ICASSP.2013.6637673
    • I. Ardekani and W. Abdulla, “Adaptive signal processing systems for active control of acoustic noise on circular paths,” 2013 International Conference on Electrical and Electronics Engineering, Clean Energy and Green Computing (EEECEGC), UAE, 2013, pp. 69-73.
    • I. Ardekani and W. H. Abdulla, “Adaptive active noise control in free space,” 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, Kaohsiung, Taiwan, 2013. http://doi.org/10.1109/APSIPA.2013.6694354
    • I. Ardekani and W. H. Abdulla, “An adaptive signal processing system for active control of sound in remote locations,” 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, Kaohsiung, Taiwan, 2013. http://doi.org/10.1109/APSIPA.2013.6694322
    • I. Ardekani and W. H. Abdulla, “Theoretical framework for stochastic modeling of FxLMS-based active noise control dynamics,” 2012 Asia Pacific Signal and Information Processing Association Annual Summit and Conference, Hollywood, CA, USA, 2012, pp. 1-9.
    • I. Ardekani and W. H. Abdulla, “Stochastic modelling and analysis of Filtered-x Least-Mean- Square adaptation algorithm,” IET Signal Processing, vol. 7, no. 6, pp. 486–496, 2013, issn: 1751-9675. doi: 10.1049/iet-spr.2012.0090
    • I. Ardekani and W. Abdulla, “Root locus analysis and design of the adaptation process in active noise control,” The Journal of the Acoustical Society of America, vol. 132, no. 4, pp. 2313–2324, Oct. 2012. doi: 10.1121/1.4746018
    • I. Ardekani and W. Abdulla, “Effects of imperfect secondary path modeling on adaptive active noise control systems,” IEEE Transactions on Control Systems Technology, vol. 20, no. 5, pp. 1252–1262, 2012. doi: 10.1109/TCST.2011.2161762
    • I. Ardekani and W. Abdulla, “Filtered weight FxLMS adaptation algorithm: Analysis, de- sign and implementation,” International Journal of Adaptive Control and Signal Processing, vol. 25, no. 11, pp. 1023–1037, 2011. doi: https://doi.org/10.1002/acs.1257
    • I. Ardekani and W. Abdulla, “On the convergence of real-time active noise control systems,” Signal Processing, vol. 91, no. 5, pp. 1262–1274, 2011, issn: 0165-1684. doi: 10.1016/j. sigpro.2010.12.012
    • I. Ardekani and W. Abdulla, “On the stability of adaptation process in active noise control systems,” The Journal of the Acoustical Society of America, vol. 129, no. 1, pp. 173–184, Feb. 2011. doi: 10.1121/1.3514375
    • I. Ardekani and W. Abdulla, “FxLMS based active noise control: a quick review,” 2011 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, Xi’an, China, 2011, pp. 1-7. http://www.apsipa.org/proceedings_2011/pdf/APSIPA260.pdf
    • I. Ardekani and W. Abdulla, “Dominant pole localisation of FxLMS adaptation process in active noise control,” 2011 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, Xi’an, China, 2011. http://www.apsipa.org/proceedings_2011/pdf/APSIPA040.pdf
    • I. Ardekani and W. Abdulla, “Study of convergence behaviour of real-time adaptive active noise control systems,” The 2nd APSIPA Annual Summit and Conference, Biopolis, Singapore, 2010, pp. 534-537. http://www.apsipa.org/proceedings_2010/pdf/APSIPA108.pdf
    • I. Ardekani and W. Abdulla, “Convergence analysis of active noise control systems using root locus theory,” The 2nd APSIPA Annual Summit and Conference, Biopolis, Singapore, 2010, pp. 141-144. http://www.apsipa.org/%5C/proceedings_2010/pdf/APSIPA26.pdf
    • I. Ardekani and W. Abdulla, “Theoretical convergence analysis of FxLMS algorithm,” Signal Processing, vol. 90, no. 12, pp. 3046–3055, 2010. doi: 10.1016/j.sigpro.2010.05.009
    • I. Ardekani, J. Faiz, H. Lesani, et al., “Modeling and simulation of a salient-pole synchronous generator with dynamic eccentricity using modified winding function theory,” IEEE Trans- actions on Magnetics, vol. 40, no. 3, pp. 1550–1555, 2004. doi: 10.1109/TMAG.2004.826611
    • R. Chen, M. R. Asharif, I. Ardekani, et al., “A new class of acoustic echo cancelling by using correlation lms algorithm for double-talk condition,” IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. 87, pp. 1933–1940, 2004. [Online]. Available: https://api.semanticscholar.org/CorpusID:5837555
    • J. Faiz, I. Ardekani, and E. Sharifi-Ghazvini, “A precise electromagnetic modeling and perfor- mance analysis of a three-phase squirrel-cage induction motor under mixed eccentricity condi- tion,” Electromagnetics, vol. 24, no. 6, pp. 471–489, 2004. doi: 10.1080/02726340490467637
    • J. Faiz, I. Ardekanei, and H. Toliyat, “An evaluation of inductances of a squirrel-cage induction motor under mixed eccentric conditions,” IEEE Transactions on Energy Conversion, vol. 18, no. 2, pp. 252–258, 2003. doi: 10.1109/TEC.2003.811740
    • J. Faiz and I. Ardekani, “Extension of winding function theory for nonuniform air gap in electric machinery,” IEEE Transactions on Magnetics, vol. 38, no. 6, pp. 3654–3657, 2002. doi: 10.1109/TMAG.2002.804805

  • Professional affiliations

    • Senior Member, IEEE.
    • Life Member, APSIPA: Asia-Pacific Signal and Information Processing Association.
    • Member, ANZIAM: Australia and New Zealand Industrial and Applied Mathematics.
    • Member, NZMS: New Zealand Mathematical Society.