Faculty and Research

Electrical and Computer Engineering Faculty List

Alex Pappachen James
Head of Department
Tel: + 7 (7172) 70 91 33
School of Engineering
Block 3, room 517
e-mail: alex.james@nu.edu.kz

Mohammad Salameh Obaidat
Fellow of IEEE and Fellow of SCS
School of Engineering
e-mail: mohammad.obaidat@nu.edu.kz or msobaidat@gmail.com

Dr. A.P. James' Research Profile

Areas of expertise:

Neuromorphic VLSI and Memristors
Analog and Mixed-Signal Integrated Circuits
Artificial Intelligence Circuits and Systems
Representative Publications:
[Book] A.P. James, Deep learning classifiers with memristive networks: Foundations and Applications, Springer Nature (In press), 2019.
[Journal] O. Krestinskaya, A. P. James and L. O. Chua, "Neuromemristive Circuits for Edge Computing: A Review," in IEEE Transactions on Neural Networks and Learning Systems. 2019
doi: 10.1109/TNNLS.2019.2899262
[Journal] A Theoretical Analysis of the Peaking Phenomenon in Classification (Zollanvari, Amin, James, Alex Pappachen and Sameni, Reza), In Journal of Classification, Springer-Nature, 2019.
[Journal] Neuro-memristive circuits for edge computing: A review (Krestinskaya, Olga, James, Alex Pappachen and Chua, Leon O), In IEEE Transactions on Neural Networks and Learning Systems, 2019.
[Journal] Learning in Memristive Neural Network Architectures using Analog Backpropagation Circuits (Krestinskaya, Olga, Salama, Khaled and James, Alex Pappachen), In IEEE Transactions on Circuits and Systems I: Regular Papers, IEEE, 2019.
[Journal] Temporal G-Neighbor Filtering for Analog Domain Noise Reduction in Astronomical Videos (Aliakhmet, Kamilla and James, Alex Pappachen), In IEEE International Symposium on Circuits and Systems, 2019.

Muhammad Tahir Akhtar
Associate Professor
Tel: + 7 (7172) 70 6434
School of Engineering
Block 3, room 3528 A
e-mail: muhammad.akhtar@nu.edu.kz

Mehdi Bagheri
Associate Professor
Tel: + 7 (7172) 70 92 51
School of Engineering
Block 3, room 565
email: mehdi.bagheri@nu.edu.kz

Dr. M. Akhtar's Research Profile
  • Active noise control and sound field reproduction
  • Blind source separation and independent component analysis
  • Multichannel hands-free communication
  • EEG signal processing and analysis
  • Adaptive noise cancellation
  • Acoustic feedback in Digital hearing aid systems


  • M. T. Akhtar, and A. Nishihara, “Two-adaptive filter-based method using gain controlled probe noise for acoustic feedback neutralization in digital hearing aids,” in Proc. 16th International Workshop on Acoustic Signal Enhancement (IWAENC 2018), Sept. 17-20, 2018, Tokyo, Japan, pp. 176-180.
  • M. T. Akhtar, “A convex-combined step-size-based normalized modified filtered-x least mean square algorithm for impulsive active noise control systems,” in Proc. EUSIPCO 2018, September 03-07, 2018, Rome, Italy, pp. 2468-2472.
  • M. T. Akhtar, “An adaptive algorithm - based on modified tanh non-linearity and fractional processing - for impulsive active noise control systems,” Journal of Low Frequency Noise, Vibration and Active Control, vol. 37, no. 3, pp. 495-508, Sept. 2018.
Dr. M. Bagheri's Research Profile
    • Power System and Energy Management, Digital Twin Technology,
    • Renewable and Sustainable Energy, Power Quality and Harmonics,
    • High Voltage Technology, Transformers, Electric Rotating Machines,
    • Real-time Monitoring and Industry 4.0, Fault Diagnosis and Prognosis,
    • Digital Transformation in Energy and Utilities Industry,
    • IoT and Machine Learning in Power System, Smart City and Smart Grid,
    • Dynamic Wireless Charging of Electric Vehicles,
    • Electrical Insulation and Frequency Response Analysis,
    • Partial Discharge and Cable Quality Assessment.


    • Bagheri, M., Lu, M., Naderi, M., Phung, B., Transformer frequency response: A new technique to analyze and distinguish the low-frequency band in the frequency response analysis spectrum, In : IEEE Electrical Insulation Magazine. 34, 5, p. 39-49, 2018.
    • Bagheri, M., Nezhivenko, S., Naderi, M., Zollanvari, A., A new vibration analysis approach for transformer fault prognosis over cloud environment, In : International Journal of Electrical Power and Energy Systems. 100, p. 104-116, 2018.
    • Bagheri, M., Nurmanova, V., Abedinia, O., Salay Naderi, M., Enhancing power quality in microgrids with a new online control strategy for DSTATCOM using reinforcement learning algorithm, In : IEEE Access. 6, p. 38986-38996, 2018.

Aresh Haresh Dadlani
Assistant Professor
Tel: + 7 (7172)704674
School of Engineering
Block 3, room 3502
e-mail: aresh.dadlani@nu.edu.kz

Kanat Dukenbayev
Assistant Professor
Tel: +7 (7172) 706473
School of Engineering,
Block 3, Office 3e.226,
Email: kdukenbayev@nu.edu.kz

Dr. A. Dadlani's Research Profile
  • Dynamic systems and complex network analysis
  • Epidemic modeling and simulation
  • Design and performance evaluation of communication networks
  • Scheduling and optimization in vehicle-to-grid (V2G) systems
  • Modern queueing theory applications in wireless/wired networks


  • M. S. Kumar, A. Dadlani, K. Kim, Performance analysis of an unreliable M/G/1 retrial queuewith two-way communication, Operational Research, pp. 1-14, August 2018.
  • K. Ahn, A. Dadlani, K. Kim, W. Saad, Revenue Maximization of Multi-class Charging Stations with Opportunistic Charger Sharing, IEEE International Conference on Communications (ICC), pp. 1-6, 2018.
  • A. Dadlani, MS Kumar, MG Maddi, K Kim, Mean-field dynamics of inter-switching memes competing over multiplex social networks, IEEE Communications Letters 21 (5), pp. 967-970, 2017.
Dr. K. Dukenbayev's Research Profile
  • Biomedical Imaging, Biomaterials, Cell and Soft Tissue Biomechanics
  • Diagnostics Methods & Clinical Biochemistry
  • Super High-Resolution Imaging Microscopy Systems
  • Surface characterization of various materials applied for Solar Cells, Ceramics and biological matter.


  • K. Dukenbayev, A. Smirnov, S. K. Sekatskii, D. Tosi, G. Dietler, Chemically etched polymer optical fiber probe for near-field scanning optical microscopy study in liquids, Journal of proceedings of SPIE BiOS: Imaging, Manipulation and Analysis of Biomolecules, Cells and Tissue, Volume 10881, 2019.
  • K. Dukenbayev, A. Kozlovskiy, I. Korolkov, M. Zdorovets, Investigation of radiation resistance of AlN ceramics, Journal of Vacuum, Volume 159, 2019.
  • K. Dukenbayev,  A. Kozlovskiy, I. Kenzhina, A. Berguzinov, M. Zdorovets, Study of the effect of irradiation with Fe7+ ions on the structural properties of thin TiO2 foils, Journal of Materials Research Express, Volume 6, 2019.

Grant Ellis
Assistant Professor
Tel: + 7 (7172)704674
School of Engineering
Block 3, room 3521 A
e-mail: grant.ellis@nu.edu.kz

Mohammad Hashmi
Associate Professor
Tel: + 7 (7172)706146
School of Engineering
Block 3e, room 534
e-mail: mohammad.hashmi@nu.edu.kz

Dr. M. Hashmi's Research Profile


  • Dr. Mohammad Hashmi
  • RF Wireless Power Transfer
  • RF Aspects in Wireless Body Area Network
  • Nonlinear and Linear Transistor Device Modelling (Conventional and Machine Learning Based)
  • Advanced RF Circuits (Active and Passive) and High Frequency Measurement Techniques



  • D. Rano, and M. S. Hashmi, “An Extremely Compact EBG backed Antenna for Smartwatch Applications in Medical Body Area Network,” IET Microwave and Antenna Propagation, Accepted/Feb 2019.  
  • A. Khusro, M. S. Hashmi, and A. Q. Ansari, “An Accurate and Simplified Small Signal Parameter Extraction Method for GaN HEMT,” International Journal of Circuit Theory and Applications (Wiley), Accepted/Feb 2019. 
  • R. Gupta, M. H. Maktoomi, V. V. Singh, and M. S. Hashmi, “High Impedance Transforming Dual-Band Balun with Isolation and Output-ports Matching”, Progress in Electromagnetics Journal, Accepted/Jan 2019.    

Prashant Kumar Jamwal
Associate Professor
Tel: + 7 (7172) 70 57 30
School of Engineering
Block 3, room 554
e-mail: prashant.jamwal@nu.edu.kz

Vipin Kizheppatt
Assistant Professor
Tel: + 7 (7172)704674
School of Engineering
Block 3, room 3502 
e-mail: vipin.kizheppatt@nu.edu.kz

Dr. P. K. Jamwal's Research Profile
    • Bio-inspired Design and intelligent control of Rehabilitation Robots for stroke patients.
    • Development of newer Machine Learning and Artificial Intelligence approaches and their applications in image-processing using GANs, virtual reality and mixed reality, digital image processing for oil exploration, Signal processing Bio-sensors (EEG, EMG etc.), Health care applications such as Big Data Analytics for cancer treatment.
    • Development of serial-parallel robots to supplement CNC machining centers.
    • Development of robotic as well as in-silico biomechanical models of human joints to provide a baseline knowledge which can be used for identifying individuals at risk for injury, developing solutions for preventing injury and for assessing joint reconstruction and implantation methods.


    • B. Abdikenov, Z. Iklassov, A. Sharipov, S. Hussain, and P. K. Jamwal, “Analytics of Heterogeneous Breast Cancer Data Using Neuroevolution” IEEE Access, vol. 7, pp. 18050-18060, 2019.
    • P. K. Jamwal, B. Abdikenov, and S. Hussain, “Evolutionary optimization using equitable fuzzy sorting genetic algorithm (EFSGA),” IEEE Access, vol. 7, pp. 8111-8126, 2019.
    • Z. Tauanov, D. Shah, V. Inglezakis, and P. K. Jamwal, “Hydrothermal synthesis of zeolite production from coal fly ash: A heuristic approach and its optimization for system identification of conversion,” Journal of Cleaner Production, vol. 182, pp. 616-623, 2018.
Dr. V. Kizheppatt's Research Profile
    • High level design of adaptive systems
  • Dynamic partial reconfiguration
  • Embedded systems development
  • Reconfigurable Computing
  • Publications:
    • V. Kizheppatt, AsyncBTree: Revisiting Binary Tree Topology for Efficient FPGA-Based NoC Implementation, International Journal of Reconfigurable Computing, Volume 2019, Article ID 7239858, 9 pages, 2019.
    • V. Kizheppatt and S. A. Fahmy, FPGA dynamic and partial reconfiguration: A survey of architectures, methods, and applications, ACM Computing Surveys, 51 (4), 72, 2018.
    • I. Dolzhikova, K. Salama, V. Kizheppatt, A. James, Memristor-based Synaptic Sampling Machines, IEEE 18th International Conference on Nanotechnology (IEEE-NANO), 420-425, 2018.

Refik Caglar Kizilirmak
Assistant Professor
Tel: + 7 (7172) 70 65 33
School of Engineering
Block 3, room 554
e-mail: refik.kizilirmak@nu.edu.kz

Behrouz Maham
Associate Professor
Tel: + 7 (7172) 70 93 79
School of Engineering
Block 3, room 3422
e-mail: behrouz.maham@nu.edu.kz

Dr. R. Kizilirmak's Research Profile
  • Physical layer design
  • Channel modeling
  • Wireless optical communications
  • 5G systems
  • Visible light communications
  • Intelligent Transportation Systems
  • Society 5.0
  • Manglayev, Talgat, Refik Caglar Kizilirmak, and Nor Asilah Wati Abdul Hamid. "GPU Accelerated PIC and SIC for OFDM-NOMA." Electronics 8.3 (2019): 257.
  • O. Narmanlioglu, R.C. Kizilirmak, F. Miramirkhani, S. Safaraliev, S.M. Sait, M. Uysal, "Effect of Wiring and Cabling Topolies on the performance Distributed MIMO OFDM VLC Systems", IEEE Access, 2019.
  • M. Yerzhanova, A. Amantayeva, R.C. Kizilirmak, "UAV Location Optimization for UAV-to-Vehicle(U2V) Multiple Access Channel with Visible Light Communication (VLC)", IEEE Wireless Days, 2019.
Dr. B. Maham's Research Profile


  • Wireless Communications and Networks
  • Signal Processing for Communications
  • Nano-Neural Communication Networks



  • L. Tlebaldiyeva, T. Tsiftsis, and B. Maham, “Performance Analysis of Improved Energy Detector with Hardware Impairments for Accurate Spectrum Sensing,” IEEE Access, vol. 7, no. 1,  pp. 13927-13938, Dec. 2019.
  • K. Aghababaiyan, V. Shahmansouri, and B. Maham, “Joint Optimization of Input Spike Rate and Receiver Decision Threshold to Maximize Achievable Bit Rate of Neuro-Spike Communication Channel,” IEEE Transactions on NanoBioscience, Accepted, Dec 2018.
  • B. Maham and R. Kizilirmak, “Neuro-Spike Communications with Multiple Synapses under Inter-Neuron Interference,” IEEE Access, vol. 6, no. 1, pp. 39962-39968, Dec. 2018.

Carlo Molardi
Assistant Professor
Tel: +7 7172 704604
School of Engineering
Block 3, Office 3e226
Email: carlo.molardi@nu.edu.kz

Galymzhan Nauryzbayev
Assistant Professor
Tel: + 7 (7172)694618
School of Engineering
Block 3
e-mail: galymzhan.nauryzbayev@nu.edu.kz

Dr. C. Molardi's Research Profile
  • Micro-structured Fiber Design
  • High Power Fiber Lasers
  • Mid-IR Photonic Technologies
  • Computational Electromagnetism
  • Optical Fiber Sensors
  • Bio-photonics


  • A. Beisenova, A. Issatayeva, S. Sovetov, S. Korganbayev, M. Jelbuldina, Z. Ashikbayeva, W. Blanc, E. Schena, S. Sales, C. Molardi, and D. Tosi, “Multi-fiber distributed thermal profiling of minimally invasive thermal ablation with scattering-level multiplexing in MgO-doped fibers,” Biomedical Optics Express, 10(3), 1282-1296, 2019. [IF: 3.482]
  • T. Ayupova, M. Sypabekova, C. Molardi, A. Bekmurzayeva, M. Shaimerdenova, K. Dukenbayev and D. Tosi, “Wavelet Based Demodulation of Multimode Etched Fiber Bragg Grating Refractive Index Sensor,” MDPI Sensors, 19(1), 39, 2018. [IF: 2.475]
  • M. Sypabekova, S Korganbayev, W. Blanc, T. Ayupova, A. Bekmurzayeva, M. Shaimerdenova, K. Dukenbayev, C. Molardi, and D. Tosi, “Fiber optic refractive index sensors through spectral detection of Rayleigh backscattering in a chemically etched MgO-based nanoparticle-doped fiber,” Optics Letters, 43 (24), 5945-5948, 2018. [IF: 3.589]
Dr. G. Nauryzbayev's Research Profile
    • Energy harvesting wireless communications
    • Cognitive radio
    • Physical layer security
    • Massive MIMO
    • Interference alignment
    • Interference coordination and cancelation
    • Cooperative communications
    • Relaying networks
    • Multiuser communications theory
    • Visible light communications
    • Free-space optical communications


  • Vehicular technologies



  • G. Nauryzbayev, M. Abdallah, and H. Elgala, “Outage of SEE-OFDM VLC-NOMA Networks,” IEEE Photonics Technology Letters, vol. 31, no. 2, pp. 121-124, January 15, 2019.
  • S. Arzykulov, T. A. Tsiftsis, G. Nauryzbayev, and M. Abdallah, “Outage Performance of Cooperative Underlay CR-NOMA with Imperfect CSI,” IEEE Communications Letters, vol. 23, no. 1, pp. 176-179, January 2019.
  • J. Al-khori, G. Nauryzbayev, M. Abdallah, and M. Hamdi, “Secrecy Performance of Decode-and-Forward based Hybrid RF/VLC Relaying Systems,” IEEE Access, vol. 7, no. 1, pp. 10844-10856, January 2019.

Annie Ng
Assistant Professor
Tel: + 7 (7172)692684
School of Engineering
Block 3, room 3.515
e-mail: annie.ng@nu.edu.kz

Hema Satya Venkata Sivanand Kumar Nunna
Assistant Professor
Tel: + 7 (7172)706139
School of Engineering
Block 3
e-mail: sivanand.nunna@nu.edu.kz

Dr. A. Ng's Research Profile
  • Advanced materials including energy harvesting materials; metal oxides thin films and nanostructures
  • Organic and perovskite solar cells
  • Plasmonic photovoltaics
  • Optoelectronic device fabrication and optimization


  • A. Ng, Z. Ren, H. Hu, P. W. K. Fong, Q. Shen, S. H. Cheung, P. Qin, J.-W. Lee, A. B. Djurišić, S. K. Su, G. Li, Y. Yang, C. Surya, A Cryogenic Process for Antisolvent-Free High-Performance Perovskite Solar Cells, Adv. Mater. 30, 1804402, 2018.
  • Q. Shen, A. Ng, Z. Ren, H. C. Gokkaya, A. B. Djurišić, C. Surya, Characterization of low-frequency excess noise in CH 3 NH 3 PbI 3 -based solar cells grown by solution and hybrid chemical vapor deposition techniques, ACS Appl. Mater. Interface, 10, 371, 2018.
  • Z. Ren, J. Zhou, Y. Zhang, A. Ng, Q. Shen, S. H. Cheung, H. Shen, K. Li, Z. Zheng, S. K. So, A. B. Djurišić, C. Surya, Strategies for high performance perovskite/crystalline silicon four-terminal tandem solar cells, Sol. Energy Mater. Sol. Cells. 179, 36, 2018.
Dr. H. S. V. S. K. Nunna's Research Profile
  • Energy 4.0: Transcative Energy Models for Smart Power Distribution grids
  • Renewable Energy Integration, Smart Microgrids and Mesogrids
  • Industry 4.0: IoT applications in Power Systems
  • Demand Side Management and Energy Management
  • Self-healing Power Grids
  • Industry 4.0 and Distribution System Automation
  • Power System resiliency


  • H. S. V. S. K. Nunna, N. A. B. Aziz, D. Srinivasan, A Smart Energy Management Framework for Distribution Systems with Perceptive Residential Consumers, IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC). Pp.434-438, 2018.
  • A. Sesetti, H. K. Nunna, S. Doolla, A. K. Rathore, Multi-Agent based Energy Trading Platform for Energy Storage Systems in Distribution Systems with Inter-connected Microgrids, IEEE Industry Applications Society Annual Meeting (IAS), pp. 1-8, 2018.
  • H. K. Nunna, S. Battula, S. Doolla, D. Srinivasan, Energy management in smart distribution systems with vehicle-to-grid integrated microgrids, IEEE Transactions on Smart Grid 9 (5), pp. 4004-4016, 2018.

Alexander Ruderman
Associate Professor
Tel: + 7 (7172) 70 91 46
School of Engineering
Block 3, room 545
e-mail: alexander.ruderman@nu.edu.kz

Daniele Tosi
Associate Professor
Tel: + 7 (7172) 70 58 55
School of Engineering
Block 3, room 565
e-mail: daniele.tosi@nu.edu.kz

Dr. A. Ruderman's Research Profile


  • Multilevel DC-AC Converter Voltage / Current Quality for PWM and Low Frequency Synchronous Optimal Modulation
  • Switched Capacitor Converters
  • Natural Capacitor Voltage Balancing in Multilevel Converters



  • Hammami M.; Ricco M.; Ruderman A.; Grandi G., Three-Phase Three-Level Flying Capacitor PV Generation System with Embedded Ripple Correlation Control MPPT Algorithm, Electronics 2019, 8(2), 118 (IF 2.110).
  • Rassilo P.; Martinez W.; Fujisaki K.; Kyyra J.; Ruderman A., Simulink Model for PWM-Supplied Laminated Magnetic Cores Including Hysteresis, Eddy-Current and Excess Losses, IEEE Trans. Power Electronics, vol. 34, issue 2, 2019, pp.1683-1695 (IF 7.151).
  • Mustafa Y.; Zhaikhan A.; Ruderman A., Dual Output Switched Capacitor Converter Model for Cross Regulation Effects, Electronics Letters, vol. 54, issue 21, 2018, pp. 1231-1233 (IF 1.232).
Dr. D. Tosi's Research Profile


  • Optical fiber sensors
  • Optical biosensors
  • Biomedical sensors
  • Distributed sensing and applications
  • Biophotonics



  • A. Beisenova, A. Issatayeva, S. Sovetov, S. Korganbayev, M. Jelbuldina, Z. Ashikbayeva, W. Blanc, E. Schena, S. Sales, C. Molardi, D. Tosi, “Multi-fiber distributed thermal profiling of minimally invasive thermal ablation with scattering-level multiplexing in MgO-doped fibers,” Biomedical Optics Express, vol. 10, no. 3, pp. 1282-1296, 2019.
  • T. Ayupova, M. Sypabekova, C. Molardi, A. Bekmurzayeva, M. Shaimerdenova, K. Dukenbayev, D. Tosi, “Wavelet Based Demodulation of Multimode Etched Fiber Bragg Grating Refractive Index Sensor,” Sensors, vol. 19, no. 1, 39, 2019.
  • A. Bekmurzayeva, K. Dukenbayev, M. Shaimerdenova, I. Bekniyazov, T. Ayupova, M. Sypabekova, C. Molardi, D. Tosi, “Etched fiber Bragg grating biosensor functionalized with aptamers for detection of thrombin,” Sensors, vol. 18, no. 12, 4298, 2018.

Ikechi A. Ukaegbu
Assistant Professor
Electrical and Computer Engineering
Phone: +7 7172 708960
School of Engineering
Block 3, Office 3.515
Email: ikechi.ukaegbu@nu.edu.kz
Website: http://www.idslab.info

Amin Zollanvari
Assistant Professor
Tel: + 7 (7172)709353 70 93 53
School of Engineering
Block 3, room 542
e-mail: amin.zollanvari@nu.edu.kz

Dr. I. A. Ukaegbu's Research Profile
  • Nanoelectronic and Optoelectronic Circuits and Systems
  • Photonic Computing and Photonic Integrated Circuits (Nanophotonics)
  • Modeling and Signal Integrity for Circuits, Devices and Systems
  • High-bandwidth Packaging Design and Solutions


  • Elochukwu Onyejegbu, Dias Azhigulov and Ikechi Augustine Ukaegbu, “Numerical Analysis of A Dynamic Power-Aware Integrated Circuit for Optoelectronic Interconnect Applications,” accepted, SPIE Optics and Optoelectronics, Prague, Czech Republic, April, 2019.
  • Dias Azhigulov, Ikechi Augustine Ukaegbu, and Hyo-Hoon Park, “The Design of All-Optical Logic Gates Using Micro-ring Resonator Structures,” accepted, SPIE Optics and Optoelectronics, Prague, Czech Republic, April, 2019.
  • Nga T. H. Nguyen, Ikechi Augustine Ukaegbu, Hyo-Hoon Park, “A 30 Gb/s Integrated Receiver Array for Parallel Optical Interconnects,” IET Journal of Engineering, accepted March 2019.
Dr. A. Zollanvari's Research Profile


  • Pattern Recognition
  • Machine Learning
  • Statistical Signal Processing
  • Biomedical Informatics




  • Amin Zollanvari, Alex P. James, Reza Sameni, A Theoretical Analysis of the Peaking Phenomenon in Classification, In Press, Journal of Classification, 2019.
  • Berdakh Abibullaev, Amin Zollanvari, Learning Discriminative Spatiospectral Features of ERPs for Accurate Brain-Computer Interfaces, In Press, IEEE Journal of Biomedical and Health Informatics, 2019.
  • Mehdi Bagheri, Amin Zollanvari, Svyatoslav Nezhivenko, Transformer Fault Condition Prognosis using Vibration Signals over Cloud Environment, IEEE Access, pp. 9862-9874, 2018.