2024

R. Ahmadvand, S. S. Sharif, Y. Banad, “Enhancing Energy Efficiency and Reliability in Autonomous Systems Estimation using Neuromorphic Approach,” Neuromorphic Computing and Engineering, 2024 [Under Review].

 

R. Ahmadvand, S. S. Sharif, Y. Banad, “Cloud-based Online Supervised Learning of Spiking Neural Networks for Implementing Control in Dynamical Systems at the Edge using Local Plasticity Rules," Neuromorphic Computing and Engineering, 2024 [Under Review].

​

A. Gooran-Shoorakchaly, S. Sharif, Y. Banad, "Computational Model of Ta2O5/TaOx Memristors: Predicting Resistive Switching Behavior and Filament Growth Dynamics for Enhanced Device Control and Optimization," IEEE 67th International Midwest Symposium on Circuits and Systems (MWSCAS), 2024 [Under Review].

​

M. Motaman, S. Sharif, and Y. Banad, "Enhancing Neuromorphic Computing: A High-Speed, Low-Power Integrate-and-Fire Neuron Circuit utilizing Nanoscale Side-contacted Field Effect Diode Technology," IEEE 67th International Midwest Symposium on Circuits and Systems (MWSCAS), 2024 [Under Review].

​

M. Eslami, S. Takhtardeshir, S. Sharif, Y. Banad, "Hardware Implementation of Memristor-based In-Memory Computing for Classification Tasks,"  IEEE 67th International Midwest Symposium on Circuits and Systems (MWSCAS), 2024 [Under Review].

​

D. Ebrahimzadeh, S. S. Sharif, and Y. M. Banad. "How Transfer Learning Is Used in Generative Models for Image Classification: Improved Accuracy." Research Square, 2024 [Under Review].

 

R. Ahmadvanda, S. Sharifa, and Y. Banad, "Advancing Precision in Multi-Agent Systems: A Neuromorphic Approach with Spiking Neural Network-Modified Sliding Innovation Filter," SPIE Smart Structure NDE, 2024.

​

D. Biswasa, T. Venkatesana, and Y. Banad, "Exploring Neuromorphic Potentials of Silver-Based Self-Directed-Channel Memristors for Artificial Synapses in Neural Network Circuits," SPIE Smart Structure NDE, 2024.

​

Y. M. Banad, et al. "Optical properties and behavior of whispering gallery mode resonators in complex microsphere configurations: Insights for sensing and information processing applications," Nano Select, vol.5, no. 4, 2024.

​

D. Biswas, T. Venkatesan, S. Sharif, and Y. Banad, "Revolutionizing Biologically-inspired AI Hardware Accelerators: Unveiling the Potential of Metal Self-Directed Channel (M-SDC) Memristors in Neuromorphic Computing," Bulletin of the American Physical Society, 2024.

​

A. Gooran Shoorakchaly, S. Sharif, and Y. Banad, "A Computational Study of Electrostatically-Doped Silicene and Graphene Nanoribbon FETs," Bulletin of the American Physical Society, 2024.

​

D. Ebrahimzadeh, S. Sharif, D. Biswas, and Y. Banad, "A Breakthrough in Inverse Design for Materials Discovery through Advanced Generative Models," Bulletin of the American Physical Society, 2024.

​

R. Ahmadvand, S. Sharif, and Y. Banad. "Efficient Brain-Inspired Control Strategies: Cloud-Based Online Supervised Learning for Spiking Neural Networks in Dynamical Systems." Bulletin of the American Physical Society, 2024.

​

S. Aminpour, Y. Banad, and S. Sharif, "Quantum Classifier with Iterative Re-Uploading for Universal Classification: Performance Evaluation and Insights," Bulletin of the American Physical Society, 2024.

​

M. Nazari, Y. Banad, and S. Sharif, "Evolutionary-based Inverse Design of 2D Materials Multilayer Structures for Nanophotonic Applications," Bulletin of the American Physical Society, 2024.

​

S. Sharif, H. Karimkhani, and Y. Banad, "Exploring nonlinear activation function within microring resonators for all-photonic neuromorphic computing," SPIE Physics and Simulation of Optoelectronic Devices XXXII, vol. 12880, pp. 189-193. 2024.

​

M. Nazari, Y. Banad, and S. Sharif, "Tunable nanophotonic multilayer structures to control mid-infrared atmospheric windows," 2D Photonic Materials and Devices VII, vol. 12888, pp. 40-45. SPIE, 2024.

​

2023

M. Nazari, Y. M. Banad, and S. S. Sharif, "Advancing Mid-Infrared Sensing: A Novel Approach to Design Focal Plane Arrays for Enhanced Detection." Frontiers in Optics. Optica Publishing Group, 2023.

​

R. Ahmadvand, S. S. Sharif, and Y. M. Banad. "Neuromorphic Robust Framework for Concurrent Estimation and Control in Dynamical Systems using Spiking Neural Networks." arXiv preprint arXiv:2310.03873, 2023.

​

D. Ebrahimzadeh, S. Sharif, and Y. Banad, "Improving Image Classification using Triple-GAN: A Fusion of Generative Adversarial Networks and Transfer Learning." IEEE Sixth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), 2023.

 

R. Ahmadvand, S. S. Sharif, and Y.M. Banad, "Enhancing Energy Efficiency and Reliability in Autonomous Systems Estimation using Neuromorphic Approach," arXiv preprint arXiv:2307.07963, 2023.

​

H. Fekrmandi, B. P. Colvin, A. Sargolzaei, and Y. M. Banad. "A model-based technique for fault identification of sensors in autonomous systems using adaptive neural networks and extended Kalman filtering." In Health Monitoring of Structural and Biological Systems XVII, vol. 12488, p. 124881Q. SPIE, 2023.

​

U. Emelogu, B. T Rogers, Y. Banad, et al., “Inferring the Hoxa1 Gene Regulatory Network in Mouse Embryonic Stem Cells: Time-Series RNA-seq Data and Computational Modeling Approach,” bioRxiv, 2023.08.16.553596.

​

S. Sharifi, Y. Banad, “Investigation of Quantum Memory Efficiency by Optimizing Light-Matter Interaction,” APS March Meeting, 2023.

​

2022

Y. Banadaki, N. Razaviarab, H. Fekrmandi, S. Sharifi, “Automated quality and process control for additive manufacturing using deep convolutional neural networks,” Recent Progress in Materials, vol.4, no.2, p.1, 2022.

​

Y. Banadaki, “Enabling data science education in STEM disciplines through supervised undergraduate research experiences,” American Society of Electrical Engineers (ASEE) Annual Conference Proceeding, Minneapolis, Minnesota June 26-29, 2022.

​

Y. Banadaki, H. Kesineni, “Enabling quantum cryptography using IBM QX,” Bulletin of the American Physical Society, March Meeting, Chicago, March 14-18, 2022.

 

S. Sharifi, Y. Banadaki, G. Veronis, “Enabling Electrically Controllable Nanophotonic Structures Using 2D Materials,” Bulletin of the American Physical Society, March Meeting, Chicago, March 14-18, 2022.

​

A. Abdulkadir, Y. Banadaki, V. Mbarika, and S. Saidu, “Emerging trends in ICT applications and environmental sustainability,” Journal of Sustainability: Science, Practice and Policy, 2022 [Under Review].

​

S. M. Hasan, S. Sharifi, Y. Banadaki, G. Veronis, M. R. Gartia, “Hybridization of whispering gallery mode in photonic molecules due to coupled microspheres,” Advanced Optical Materials, 2022 [Under Review].

​

U. Emelogu, B. Rogers, C. Cavalier, A. Wilson, Y. Banadaki, S. A. de Oliveira, N. Akwaboa, S. Owens, and E. Martinez-Ceballos, “A Gene Regulatory Network Model for Hoxa1 in Differentiating Mouse ES Cells,” Gene Regulatory Mechanisms, 2022 [Under Review].

 

2021

 

Y. Banadaki, J. Dowling, S. Sharifi, “Electrically Controllable and Tunable Electromagnetic-Field Absorber/Emitter using Graphene/2D Material Multilayer Nanostructures,” Published on 6/17/2021. Patient # 16/714,711.

 

Azeema Sadath, Y. Banadaki, F. Tsai, “Attack detection in water distribution systems using artificial intelligence,” AGU Fall Meeting, 2021.

​

Soha Ghaemimood, Y. Banadaki, F. Tsai, “Application of text-mining and image processing techniques on digitizing drillers logs and developing big geological and hydrological well log datasets,” AGU Fall Meeting, 2021.

 

Y. Song, F. Tsai, Y. Banadaki, J. Zhang, Lithofacies modeling utilizing generative adversarial networks and geostatistics, AGU Fall Meeting, 2021.

​

Y. Banadaki, J. Brook, S. Sharifi, “Design of Intrusion Detection Systems on the Internet of Things Infrastructure using Machine Learning Algorithms,” SPIE Smart Structures+ Nondestructive Evaluation, March 2021.

 

Y. Banadaki, A. Okunoye, S. Batra, E. Martinez, S. Sharifi, “Automated analysis of microscopy images using deep convolutional neural networks,” SPIE Smart Structures+ Nondestructive Evaluation, March 2021.

 

S. Hasan, S. Sharifi, Y. Banadaki, G. Veronis, M. Gartia, “Introducing an opt plasmonic amplifier operating in the visible range and generating Raman signal internally with injection seeding,” SPIE Nanoscience + Engineering, San Diego, CA, August 2021.

 

Y. Bradley, Y. Banadaki, “Network Intrusion Detection using AutoAI,” The 95th Annual Meeting of the Louisiana Academy of Sciences, Louisiana Tech University Ruston, LA, March 2021.

 

S. Ghaemimood, R. Joubert, Y. Banadaki, “Application of Text-Mining and Image Processing Techniques on Developing Big Geological and Hydrological Data Sets,” The 95th Annual Meeting of the Louisiana Academy of Sciences, Louisiana Tech University Ruston, LA, March 2021.

 

S. Ranjbar, Y. Banadaki, “Review of Machine Learning Applications for Diagnosing Depression,” The 95th Annual Meeting of the Louisiana Academy of Sciences, Louisiana Tech University Ruston, LA, March 2021.

 

J. Brooks, Y. Banadaki, “Differentiating Potentially Malicious Darknet Traffic

from Benign Network Traffic using Machine Learning,” The 95th Annual Meeting of the Louisiana Academy of Sciences, Louisiana Tech University Ruston, LA, March 2021.

 

B. Mullamuri, D. Davis, Y. Banadaki, “Evaluation of Quantum Programming Languages,” The 95th Annual Meeting of the Louisiana Academy of Sciences, Louisiana Tech University Ruston, LA, March 2021.

 

D. Davis, B. Mullamuri, Y. Banadaki, “Simulation of quantum cheques circuits in five-qubit IBM Quantum Computer,” The 95th Annual Meeting of the Louisiana Academy of Sciences, Louisiana Tech University Ruston, LA, March 2021.

 

I. Abdussalam, M. Salam, Y. Banadaki, “A Prospective of Machine Learning in Wireless Sensor Network,” The 95th Annual Meeting of the Louisiana Academy of Sciences, Louisiana Tech University Ruston, LA, March 2021.

​

2020

​

Y. M. Banadaki, “Enhancing the role of machine learning in STEM disciplines through supervised undergraduate research experiences,” Literacy Information and Computer Education Journal, Vol. 11, no.2, pp. 3417-3423, 2020. 

 

Y. M. Banadaki, “Detecting malicious DNS over HTTPS traffic in domain name system using machine learning classifiers,” Journal of Computer Sciences and Applications, Vol. 8, no.2, pp. 70-75, 2020. 

 

Y. M. Banadaki, “Evaluating the performance of machine learning algorithms for network intrusion detection systems in the internet of things infrastructure,” Journal of Advanced Computer Science and Technology, Vol. 9, no. 2, 2020. 

 

S. Sharifi, Y. M. Banadaki, T. Cullen, G. Veronis, J. P. Dowling, T. Corbitt, “Design of microresonators to minimize thermal noise below standard quantum limit”, Review of Scientific Instruments, Vol. 91, no. 5, p. 054504, 2020. 

 

Y. M. Banadaki, S. Sharifi, “Toward enabling a reliable quality monitoring system for additive manufacturing process using deep convolutional neural networks”, Advances in Manufacturing, 2020 (Under Review). 

 

S. Sharifi, Yaser Banadaki, Georgios Veronis, Jonathan P. Dowling, “Towards classification of experimental Laguerre–Gaussian modes using convolutional neural networks,” Optical Engineering, Vol. 59, no. 7, p. 076113, 2020.

​

H. Fekrmandi, J. Allen, B. Dadashzadeh, Y. Banadaki, “Modular design and sensorless control of a robotic crawler for small diameter complex piping” ASME Journal of Autonomous Vehicles and Systems, 2020. (Under review) 

 

N. Price, Y. Banadaki, “On the use of machine learning approaches to detect anomaly in networks,” The 94th Annual Meeting of the Louisiana Academy of Sciences, Louisiana State University Alexandria, April 2020. [Best Paper Award] 

 

R. Joubert, S. Sharifi, Y. Banadaki, “On the use of convolutional neural networks to identify the optical modes,” The 94th Annual Meeting of the Louisiana Academy of Sciences, Louisiana State University Alexandria, April 2020. [Best Poster Award] 

 

S. Sharifi, Y. M. Banadaki, J. P. Dowling, G. Veronis, “Machine learning-based identification of orbital angular momentum modes,” OSA Frontiers in Optics + Laser Science APS/DLS, New Orleans, Louisiana, August 2020. (Under review) 

 

A. S. Abdulkadir, Y. Banadaki, D. Kambiranda, and S. Batra, “Machine learning applications in nutraceuticals.” Society of Toxicology Annual Meeting, Anaheim, California, March 2020.

​

​

2019

​

Y. Banadaki and S. Sharifi. "Graphene Nanostructures: Modeling, Simulation, and Applications in Electronics and Photonics." Taylor and Francis, Pan Stanford Publishing, 2019, ISBN-13: 978-9814800365, ISBN-10: 9814800368.

​

Y. M. Banadaki, “On the use of machine learning for additive manufacturing technology in industry 4.0,” Journal of Computer Science and Information Technology, Vol. 7, no. 2, pp 61–68, 2019. 

​

D. Pleshinger, S. Alnussirat, J. Arias, S. Bai, Y. Banadaki, M. Cherry, J. Hoffman, E. Khosravi, M. Legault, R. Rodriguez, D. Smith, E. Toro, J. Trepanier, A. Sunda-Meya, “Gamma-Ray Flashes Produced by Lightning Observed at Ground Level by TETRA-II”, Journal of Geophysical Research - Space Physics, 2019.

​

S. Sharifi, Y. Banadaki, E. Siddiqui, S. Cuozzo, N. Bhusal, L. Cohen, A. Kalasky, N. Prajapati, R. Soto-Garcia, S. Brown, I. Novikova, E. Mikhailov, G. Veronis, and J. Dowling, “Identifying Laguerre-Gaussian Modes using Convolutional Neural Network,” IEEE International Conference on Machine Learning and Applications, 2019.

​

S. Cuozzo, A. Kalasky, N. Prajapati, E. Siddiqui, S. Sharifi, L. Cohen, Y. Banadaki, J. Dowling, I. Novikova, and E. Mikhailov, “Improving Quantum Noise Suppression Using Spatial Beam Profile Optimization”, Frontiers in Optics + Laser Science, 2019.

​

A. Okunoye, N. Razaviarab, E. Khosravi, and Y.M. Banadaki, “A Fast, Accurate and Fully Automated Technique for the Quantitative Analysis of Microscopy Images using Deep Learning Algorithm” Louisiana Academy of Science, 2019 [Best Graduate Student Poster Award].

​

Y.M. Banadaki and S. Sharifi, “Cyber-Enabled Distributed Machine Learning Networks for Smart Manufacturing Systems,” Nanosensors, Biosensors, Info-Tech Sensors and 3D printers, Proc. of the SPIE, 2019.

​

N. Razaviarab, S. Sharifi, and Y. M. Banadaki “Smart additive manufacturing empowered by a closed-loop machine learning algorithm,” Nanosensors, Biosensors, Info-Tech Sensors and 3D printers, Proc. of the SPIE, 2019.

​

N. Razaviarab, E. Khosravi, and Y.M. Banadaki, “Detecting Defects in 3D Printing Process using Machine Learning and Transfer Learning Approach” Louisiana Academy of Science, 2019.

​

G. Smith Jr., E. Khosravi, and Y. M. Banadaki, “Machine Learning for High-performance Social Mobile Applications Development” Louisiana Academy of Science, 2019.

​​

2018

​

S. Sharifi, Y. M. Banadaki, V. F. Nezhad, G. Veronis, and J. P. Dowling, “Aperiodic multilayer graphene based tunable and switchable thermal emitter at mid-infrared frequencies", Journal of Applied Physics, Vol. 124, p. 233101, 2018.

​

H.C. Hou, Y.M. Banadaki, S. Basu, S. Sharifi, “A Cost-Efficient Surface Enhanced Raman Spectroscopy (SERS) Molecular Detection Technique for Clinical Applications” Journal of Electronic Materials, Springer, Volume 47, pp 5378–5385, 2018.

​

S. Sharifi, Y. M. Banadaki, T. Corbitt, G. Veronis, and J. P. Dowling, “Design of New Generation Microresonators for Large Signal-to-Noise Ratio of Quantum Radiation Pressure Noise to Thermal noise,” International Congress on Applications of Lasers & Electro-Optics, Oct. 14-18, 2018.

​

D. J. Pleshinger, S. Al-Nussirat, S. Bai, Y. M. Banadaki, M. L. Cherry, J. Hoffmann, A. Igl, E. Khosravi, M. D. Legault, R. Rodriguez, D. Smith, J. Trepanier, and A. Sunda-Meya, “The TETRA-II Experiment to Observe Terrestrial Gamma Flashes at Ground Level – Instrumentation and Results,” AGU Meeting, Dec. 10-14, 2018. 

 

A. Johnese, S. Guo, M. Sun, E. Khosravi, Y. M. Banadaki, “How Machine Learning Helps Additive Manufacturing in 3D Metal Printers,” Consortium for Innovation in Manufacturing and Materials, CIMM Symposium, 2018.

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2017

 

A. Srivastava, X. H. Liu and Y. M. Banadaki, “Overview of Carbon Nanotube Interconnects,” in Carbon Nanotubes for Interconnects: Process, Design and Applications, Edited by A. Todri-Sanial, J. Dijon and A. Maffucci, Springer, 2017, ISBN 978-3-319-29746-0.

​

​M. L. Cherry, C. Adams, S. Al-Nussirat, S. Bai, Y.M. Banadaki, P.M. Bitzer, J. Hoffmann, E. Khosravi, M. Legault, M. Orang, D.J. Pleshinger, R. Rodriguez, D. Smith, J.C. Trepanier, A. Sunda-Meya, and N. Zimmer, “The TETRA-II Experiment to Observe Terrestrial Gamma Flashes at Ground Level,” AGU Meeting, Dec. 10-14, 2017.

​

S. Sharifi, Y. M. Banadaki, C. You, S. Lorenzo, G. Veronis, and J. P. Dowling, “Aperiodic Multilayer Graphene Based Tunable and Switchable Thermal Emitter at Mid-Infrared Frequencies,” 231st ECS Meeting, New Orleans, USA, May 28-June 2, 2017.

​

Y. M. Banadaki, H. C. Hou and S. Sharifi, “Graphene field effect transistor for generating on-chip thermoelectric power,” Smart Structures/NDE: Nano-, Bio-, and Info-Tech Sensors and 3D Systems (SSNO6), Portland, Oregon, 25-29 March 2017.

​

H. C. Hou, Y. M. Banadaki and S. Sharifi, “Detection of complex molecular samples by low-cost surface enhanced raman spectroscopy (SERS) substrate,” Smart Structures/NDE: Nano-, Bio-, and Info-Tech Sensors and 3D Systems (SSNO6), Portland, Oregon, 25-29 March 2017.

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2016

​

​A. Srivastava and Y. M. Banadaki, “Graphene transistors - present and beyond,” in Nano-CMOS and Post-CMOS Electronics: Devices and Modelling, Edited by S. P. Mohanty and A. Srivastava, The Institute of Engineering and Technology (IET), 2016, ISBN-10: 1849199973, ISBN-13: 978-1849199971.

​

Y. M. Banadaki and A. Srivastava, “Effect of edge roughness on static characteristics of graphene nanoribbon field effect transistor,’’ Electronics, vol. 5, no. 1, p. 11, 2016.

​

Safura Sharifi and Y. M. Banadaki, “Investigation of Chirality Dependence of Carbon Nanotube-Based Ring Oscillator,’’ International Journal of Modern Engineering Research, vol. 6, no. 6, pp. 10-18, 2016.

​

Y. M. Banadaki, Safura Sharifi, Walter O. Craig III and Hsuan-Chao Hou, “Carbon nanotube ring oscillator for detecting ionized radiation,” Journal of Materials Science and Engineering B, 2016.

​

Hsuan-Chao Hou, Y. M. Banadaki, Safura Sharifi, Srismrita Basu, Subhodip Maulik, Shu-Wei Yang, and Safura Sharifi, “Characterization of Sputtered Nano-Au Layer Deposition on Silicon Wafer,” International Journal of Advanced Research Trends in Engineering and Technology, Vol. 3, no. 12, pp. 1-6, 2016.

 

Y. M. Banadaki, Safura Sharifi, Walter O. Craig III, and Hsuan-Chao Hou, “Power and delay performance of graphene-based circuits including edge roughness effects,” American Journal of Engineering Research, Vol. 5, no. 6, pp. 1-13, 2016.

 

Y. M. Banadaki and A. Srivastava, “Width Dependent Characteristics of Graphene Nanoribbon Field Effect Transistor for High Frequency Applications,” IEEE-CS International symposium on Nanoelectronic and Information Systems, Gwalior, India, 2016. [Best Paper Award]

 

Y. M. Banadaki, A. Srivastava and S. Sharifi, “Graphene nanoribbon field effect transistor temperature sensor,” Smart Structures/NDE: Nano-, Bio-, and Info-Tech Sensors and Systems (SSNO6), Las Vegas, Nevada, 20-24 March 2016.

​

Y. M. Banadaki, A. Srivastava and S. Sharifi, “Metallic Single-walled carbon nanotube for ionized radiation detection,” Smart Structures/NDE: Nano-, Bio-, and Info-Tech Sensors and Systems (SSNO6), Las Vegas, Nevada, 20-24 March 2016.

​

2015

 

Y. M. Banadaki and A. Srivastava, “Investigation of the width-dependent static characteristics of graphene nanoribbon field effect transistors using non-parabolic quantum-based model,” Solid State Electronics, vol. 111, pp. 80-90, 2015. [Google Scholar: Rank 7th in Microelectronics & Electronic Packaging]

​

Y. M. Banadaki and A. Srivastava, “Scaling effects on static metrics and switching attributes of graphene nanoribbon FET for emerging technology,” IEEE Transaction on Emerging Topics in Computing, Vol. 3, no. 4, pp. 458-469, 2015.

​

Y. M. Banadaki, A. Srivastava and S. Sharifi, “Clocked adiabatic XOR and XNOR gates design based on graphene nanoribbon transistors,” IEEE-CS International symposium on Nanoelectronic and Information Systems, Indore, India, 2015.

 

 

2014

 

A. Srivastava, Y. M. Banadaki and Md. S. Fahad “Dielectrics for graphene transistors for emerging integrated circuits,” IEEE EDS/ECS International Symposium on Dielectrics for Nanosystems, 225th ECS Meeting, Orlando, USA, vol. 61, pp.351-361, 2014.

 

Y. M. Banadaki, K.M. Mohsin and A. Srivastava, “A graphene field effect transistor for high temperature sensing applications,” SPIE Smart Structures/NDE: Nano-, Bio-, and Info-Tech Sensors and Systems (SSNO6), San Diego, USA, 2014.

 

K.M. Mohsin, Y. M. Banadaki and A. Srivastava, “Metallic single-walled, carbon nanotube sensor with self-heating,” SPIE Smart Structures/NDE: Nano-, Bio-, and Info-Tech Sensors and Systems (SSNO6), San Diego, USA, 2014.

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​

2013 and older

​

Y. M. Banadaki and A. Srivastava, “A novel graphene nanoribbon field effect transistor for integrated circuit design,” Proc. of the 56th IEEE Midwest Symposium on Circuit and System (MWSCAS), Columbus, USA, 2013.

​

M. J. Sharifi and Y. M. Banadaki, “General SPICE models for memristor and application to circuit simulation of memristor-based synapses and memory cells,” Journal of Circuits, Systems and Computers, vol. 19, no. 2, pp. 407-424, 2010.

 

M.J. Sharifi and Y. M. Banadaki, “A SPICE large signal model for resonant tunneling diode and its applications,” Proc. of AIP, International Conference on Computational Methods in Sciences and Engineering, vol.1148, pp. 890-893, 2009.

 

Y. M. Banadaki and M.J. Sharifi, “A memristor circuit model and nonvolatile memory based on it,” NanoThiland Symposium, 2008.

 

Y. M. Banadaki and M.J. Sharifi, “A SPICE large signal model for resonant tunneling diode and its applications,” NanoThiland Symposium, 2008.

 

Y. M. Banadaki and M.J. Sharifi, “Simulation of current-voltage characteristics of resonant tunneling diodes,” 11th student conference on Electrical Engineering, Zanjan, Iran, 2008.