- Books, Journals and Conferences
- Inventions & Patents
Books:
- Kilani, B. Mohammad, M. Alhawari, H. Saleh, M. Ismail, Power Management for Wearable Electronic Devices, New York, US, Springer, Cham, 01/2020, DOI 10.1007/978-3-030-37884-4
- Tekeste Habte., H. Saleh, B. Mohammad, M. Ismail, Ultra Low Power ECG Processing System for IoT Devices. New York, US, Springer, Cham, 01/2019
- Saleh, N. Bayasi, B. Mohammad, Mohamed Ismail. “Self-powered SoC Platform for Analysis and Prediction of Cardiac Arrhythmias”, New York, US Springer, 01/2018; , ISBN: 978-3-319-63972-7, DOI:10.1007/978-3-319-63973-4
- Abunahla, B. Mohammad. “Memristor Device Synthesis and Modeling for Sensing and Security Applications “,New York, US, Springer, 01/2018; , ISBN: 978-3-319-65698-4, DOI:10.1007/978-3-319-65699-1
- Alhawari, B. Mohammad, H. Saleh, M. Ismail, “ Energy Harvesting Circuits for Biomedical Wearable Devices”, New York, US, Springer, 01/2018; , ISBN: 978-3-319-62577-5, DOI:10.1007/978-3-319-62578-2
- Mohammad, “Embedded Memory Design for Multi-Core and SOC,” New York, US, Springer, 01/2014; , DOI:10.1007/978-1-4614-8881-1
Book Chapters:
- Kilani , M. Alhawari , B. Mohammad , H. Saleh , M. Ismail (2019) Reconfigurable, Switched-Capacitor Power Converter for IoT. In: Elfadel I., Ismail M. (eds) The IoT Physical Layer. Springer, Cham
- Alhawari et al. (2019) Self-Powered SoC Platform for Wearable Health Care. In: Elfadel I., Ismail M. (eds) The IoT Physical Layer. Springer, Cham
- Alhawari M., B. Mohammad, H. Saleh, M. Ismail (2019) A Low-Power, High-Resolution ZCS Control for Inductor-Based Converters. In: Elfadel I., Ismail M. (eds) The IoT Physical Layer. Springer, Cham
- Sluzek, H. Saleh, B. Mohammad , M. Al-Qutayri, M. Ismail (2019) MSER-in-Chip: An Efficient Vision Tool for IoT Devices. In: Elfadel I., Ismail M. (eds) The IoT Physical Layer. Springer, Cham
- Tekeste, Y. Kifle, H. Saleh, B. Mohammad, M. Ismail (2019) Ultra-Low-Power ECG Processor for IoT SOCs. In: Elfadel I., Ismail M. (eds) The IoT Physical Layer. Springer, Cham
Refereed Journals
2020
- Abunahla, R. Gadhafi, B. Mohammad, B. et al. Integrated graphene oxide resistive element in tunable RF filters. Sci Rep 10, 13128 (2020). (corresponding author)
- Zayer, B. Mohammad, H. Saleh, G. Gianini;” RRAM Crossbar-based In-Memory Computation of Anisotropic Filters for Image Preprocessing”, IEEE Access, 06/2020
- F. Tolba, Y. Halawani, H. Saleh, B. Mohammad, M. Al-Qutayri “FPGA-Based Memristor Emulator Circuit for Binary Convolution Networks”, IEEE access, 06/2020
- Abunahla, H., Halawani, Y., Alazzam, A. et al.NeuroMem: Analog Graphene-Based Resistive Memory for Artificial Neural Networks. Sci Rep 10, 9473 (2020).
- Abunahla, Nahla Alamoodi, Anas Alazzam, B. Mohammad“Micro-Pattern of Graphene Oxide Films Using Metal Bonding”. Micromachines, 11(4), 399, 2020.
- Elsayed, H. Saleh, B. Mohammad, and M. Sanduleanu, “A 28 GHz Cascode Inverse Class-D Power Amplifier Utilizing Pulse Injection in 22nm FDSOI.,” IEEE Access, 05/2020
- Tariq, A. Al-Dweik, B. Mohammad, H. Saleh, Th. Stouraitis, “Computational Power Evaluation for Energy-Constrained Wireless Communications Systems”, IEEE Open J. Commun. Soc., vol. 1, pp. 308–319, 2020
- Kebe, R. Gadhafi, B. Mohammad, M. Sanduleanu, H. Saleh, M. Al-Qutayri. “Human Vital Signs Detection Methods and Potential Using Radars: A Review” MDPI Sensors. 20 1454 (2020).
- F. Tolba, H. Saleh, B. Mohammad, M. Al-Qutayri, A. S. Elwakil, A. G. Radwan: Enhanced FPGA realization of the fractional-order derivative and application to a variable-order chaotic system. Nonlinear Dynamics 01/2020;, DOI:10.1007/s11071-019-05449-w
- SAYLAN, M. Abi Jaoude, Kh. M. Humood, F. Ravaux, H. F. Al Shehhi, B. Mohammad: Silver/(sub-10-nm)hafnium-oxide-based resistive switching devices on silicon: characteristics and switching mecH.sm. Nanotechnology 01/2020;, DOI:10.1088/1361-6528/ab68fb
2019
- F. Tolba, Wafaa S. Sayed, M. E. Fouda, H. Saleh, M. Al-Qutayri, B. Mohammad, Ahmed G. Radwan: Digital Emulation of A Versatile Memristor With Speech Encryption Application. IEEE Access 12/2019; PP(99):1-1., DOI:10.1109/ACCESS.2019.2957300
- Humood, B. Mohammad, H. Abunahla, Anas Alazzam: On-Chip Tunable Memristor-Based Flash Analog to Digital Converter for AI applications. IET Circuits Devices & Systems 02/2020;, vol. 14, issue 1, DOI:10.1049/iet-cds.2019.0293
- Alrahis, Muhammad Yasin, Nimisha Limaye, H. Saleh, B. Mohammad, M. Alqutayri, O. Sinanoglu: ScanSAT: Unlocking Static and Dynamic Scan Obfuscation. IEEE Transactions on Emerging Topics in Computing 09/2019; PP(99):1-1., DOI:10.1109/TETC.2019.2940750
- Kilani, M. Alhawari, B. Mohammad, H. Saleh, M. Sanduleanu, M. Ismail: Cascaded power management unit characterization for TEG-based IoT devices in 65 nm CMOS. DOI:10.1016/j.mejo.2019.06.014
- Kifle, M. Alhawari, S. Bou-Sleiman, H. Saleh, B. Mohammad, M. Ismail: A 230 μW built-in on-chip auto-calibrating RF amplitude detector in 65 nm CMOS. Analog Integrated Circuits and Signal Processing 09/2019;, DOI:10.1007/s10470-019-01529-4
- Kilani, B. Mohammad, M. Alhawari, H. Saleh, M. Ismail: Analysis and characterization of leakage reduction methodologies for stacking, body biasing and DLS in 65 nm CMOS technology. Analog Integrated Circuits and Signal Processing 02/2020; vol. 102, issue 1, DOI:10.1007/s10470-019-01520-z
- A. Hadi, Kh. M. Humood, M. Abi Jaoude, H. Abunahla, H. F. Al Shehhi, B. Mohammad: Bipolar Cu/HfO2/p++ Si Memristors by Sol-Gel Spin Coating Method and Their Application to Environmental Sensing. Scientific Reports 12/2019; 9(1)., DOI:10.1038/s41598-019-46443-x
- Mohammad, T. Tekeste, B. Mohammad, H. Saleh, M. Qurran: Embedded memory options for ultra-low power IoT devices. DOI:10.1016/j.mejo.2019.104634
- Halawani, B. Mohammad, M. Abu-Lebdeh, M. Al-Qutayri, S. F. Al-Sarawi: ReRAM-based In-Memory Computing for Search Engine and Neural Network Applications. IEEE Journal on Emerging and Selected Topics in Circuits and Systems 04/2019; PP(99):1-1., DOI:10.1109/JETCAS.2019.2909317
- Abunahla, B. Mohammad, A. Alazzam, M. Abi jaoudé, M. Al-Qutayri, S. F. Al-Sarawi, S Abdul Hadi: MOMSense: Metal-Oxide-Metal Elementary Glucose Sensor. Scientific Reports 04/2019; https://rdcu.be/bulWU(1)., DOI:10.1038/s41598-019-41892-w
- N. Bayasi, T. Tekeste, H. Saleh, A. H. Khandoker, Mohammad, M. Ismail: A novel algorithm for the prediction and detection of ventricular arrhythmia. Analog Integrated Circuits and Signal Processing 03/2019;, DOI:10.1007/s10470-019-01432-y
- A. Mahmoud, M. Alhawari, B. Mohammad, H. Saleh, M. Ismail: A Gain-Controlled, Low-Leakage Dickson Charge Pump for Energy-Harvesting Applications. IEEE Transactions on Very Large Scale Integration (VLSI) Systems 02/2019; PP(99):1-10., DOI:10.1109/TVLSI.2019.2897046
- M. Qasaimeh, H. Saleh, B. Mohammad, T. Tekeste, M. Ismail: A novel SIFT architecture and ASIC implementation for real time SOC application. Analog Integrated Circuits and Signal Processing 02/2019;, DOI:10.1007/s10470-019-01419-9
- T. Tekeste, H. Saleh, B. Mohammad, M. Ismail: Ultra-Low Power QRS Detection and ECG Compression Architecture for IoT healthcare Devices. Circuits and Systems I: Regular Papers, IEEE Transactions on 02/2019; vol. 66:., 10.1109/TCSI.2018.2867746
2018
- D. Kilani, B. Mohammad, M. Alhawari, H. Saleh, M. Ismail: A Dual-Output Switched Capacitor DC-DC Buck Converter Using Adaptive Time Multiplexing Technique in 65-nm CMOS. Circuits and Systems I: Regular Papers, IEEE Transactions on 08/2018; PP(99):1-10., DOI:10.1109/TCSI.2018.2857204
- T. Tekeste, H. Saleh, B. Mohammad, A. Khandoker, H. Jelinek, M. Ismail: A Nanowatt Real-Time Cardiac Autonomic Neuropathy Detector. IEEE Transactions on Biomedical Circuits and Systems 07/2018; 12(4):1-12., DOI:10.1109/TBCAS.2018.2833624
- H. Lee, J. Park, T. J. Kim, D. Im, J. H. Shin, D. H. Kim, B. Mohammad, Il-Suk Kang, Keon Jae Lee: Novel Electronics for Flexible and Neuromorphic Computing. Advanced Functional Materials 07/2018;, DOI:10.1002/adfm.201801690
- Halawani, B. Mohammad, M. Al-Qutayri, S. F. Al-Sarawi: “Memristor-Based Hardware Accelerator for Image Compression”. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 07/2018, vol. 26, issue 9, DOI: 10.1109/TVLSI.2018.2835572
- Halawani, M. Abu Lebdeh, B. Mohammad, M. Al-Qutayri, S. F. Al-Sarawi: “Stateful Memristor-Based Search Architecture”. IEEE Transactions on Very Large Scale Integration (VLSI) Systems 03/2018; PP(99):1-8., DOI:10.1109/TVLSI.2018.2812800
- Abunahla, B. Mohammad, L. Mahmoud, M. Darweesh, M. Alhawari, M. Abi Jaoude, G. W. Hitt. “MemSens: Memristor-Based Radiation Sensor”. IEEE Sensors Journal 02/2018;, DOI:10.1109/JSEN.2018.2808285
- Abdulslam, B. Mohammad, M. Ismail, P. P. Mercier, Y. Ismail. “A 93% Peak Efficiency Fully-Integrated Multilevel Multistate Hybrid DC-DC Converter”. Circuits and Systems I: Regular Papers, IEEE Transactions on 01/2018; PP(99):1-14., DOI:10.1109/TCSI.2018.2793163, (IF 2.407)
- Abu Lebdeh, H. Abunahla, B. Mohamad, M. Al Qutayri. “ An Efficient Hetrogeneous Memristor XNOR for In-Memory Computing”, Circuits and Systems I: Regular Papers, IEEE Transactions on 08/2017; (99):1-11, 10.1109/TCSI.2017.2706299 (IF 2.407) (top 50 downloaded paper )
- Abunahla., M. A. Jaoude, C. J. O’Kelly, Y. Halawani, S. Al-sarawi, M. Al-Qutayri, B. Mohammad. “Switching characteristics of microscale unipolar Pd/Hf/HfO2/Pd memristors” Microelectronics Engineering journal, Elsevier, October 2017, DOI: 10.1016/j.mee.2017.10.010 (IF 1.80)
- Mohammad, A. Qaroush, M. Washha, B. Mohammad. “Low-power content addressable memory (CAM) array for mobile devices”, microelectronics Journal, volume 67, pp 10-18, Sept. 2017, DOI:10.1016/j.mejo.2017.07.001 (IF 1.163)
- Yasin, T. Tekeste, H. Saleh, B. Mohammad, O. Sinanoglu, M. Ismail. “Ultra-Low Power, Secure IoT Platform for Predicting Cardiovascular Diseases”. Circuits and Systems I: Regular Papers, IEEE Transactions on, vol. 64, issue 9, September 2017; pp 2624-2637, DOI:10.1109/TCSI.2017.2694968 (top 4 downloaded paper September 2017)
- Tekeste, H. Saleh, B. Mohammad, A. Khandoker, and M. Ismail. “A Nano-Watt ECG Feature Extraction Engine in 65nm Technology”, Circuit and System II: Express Brief, IEEE Transaction on, 01/2017, PP(99), DOI 10.1109/TCSII.2017.2658670
- Alhawari; B. Mohammad; H. Saleh; M. Elnaggar. “An Efficient Polarity Detection Technique for Thermoelectric Harvester in L-based Converters”, Circuits and Systems I: Regular Papers, IEEE Transactions on; vol. 64, issue 3, March 2017. DOI:10.1109/TCSI.2016.2619758
- Abunahla, B. Mohammad, D. Homouz, C. J. Okelly. “ Modeling Valance Change Memristor Device: Oxide Thickness, Material Type, and Temperature Effects”, Circuits and Systems I: Regular Papers, IEEE Transactions on, volume 63, issue 12,December 2016, DOI:10.1109/TCSI.2016.2622225
- Kilani; M. Alhawari; B. Mohammad; H. Saleh; M. Ismail. “An Efficient Switched-Capacitor DC-DC Buck Converter for Self-Powered Wearable Electronics,” Circuits and Systems I: Regular Papers, IEEE Transactions on, volume 63, issue 10, October 2016; DOI:10.1109/TCSI.2016.2586117 (IF 2.393) (#1 downloaded paper November 2016)
- Alhawari; B. Mohammad; H. Saleh; M. Elnaggar. “An Efficient Zero Current Switching Control for L-based DC-DC Converters in TEG Applications,” Circuits and Systems II: Express Briefs, IEEE Transactions on, Volume 64, Issue 3, March 2017; DOI:10.1109/TCSII.2016.2558110 (IF 1.136)
- Abunahla; M. A. Jaoude; C. J. O’Kelly; B. Mohammad. “Sol-gel/drop-coated micro-thick TiO 2 memristors for γ-ray sensing”. Materials Chemistry and Physics, Elsevier, volume 184, September 2016 (IF 2.357)
- Wahbah, M. Alhawari,; B. Mohammad; H. Saleh; M. Ismail. “An AC/DC converter for human body-based vibration energy harvesting”, Microelectronics Journal, Elsevier, vol. 55, pp 1-7, Sept. 2016, doi:10.1016/j.mejo.2016.06.006 (IF 1.163)
- O’Kelly, H. N.M. Abunahla, M. Abi Jaoude, D. Homouz, B Mohammad. “Threshold Continuum Conductance Change In NbO Pt Memristor Interfaces”, J. Physical Chemistry C, ACS, pp 18971-18976, August 2016, DOI: 10.1021/acs.jpcc.6b05010 (IF 4.509)
- Mohammad, M. A. Jaoude, V. Kumar, D. Al Homouz, H. Abunahla, M. Al-Qutayri, N. Christoforou. “State-of-the-art of metal-oxide memristor devices”, Nanotechnology Reviews, degruyter, volume 5, issue 3, pp 311-329, June 2016; DOI:10.1515/ntrev-2015-0029 (IF = 2.044)
- Bayasi, T. Tekeste, H. Saleh, B. Mohammad, A. Khandoker and M. Ismail. “Low-Power ECG-Based Processor for Predicting Ventricular Arrhythmia,” IEEE Transactions on Very Large Scale Integration (VLSI) Systems 10/2015; 24(5). DOI:10.1109/TVLSI.2015.2475119 (IF 1.245) Best paper award TCAS society
- Halawani, B. Mohammad, D. Homouz, M. Al-Qutayri and H. Saleh. “Modeling and Optimization of Memristor and STT-RAM-Based Memory for Low-Power Applications,” IEEE Transactions on Very Large Scale Integration (VLSI) Systems 06/2015; DOI:10.1109/TVLSI.2015.2440392 (IF 1.245)
- Abunahla, D. Shehada, C. Yeob Yeun, B. Mohammad, M. Abi Jaoude. “Novel secret key generation techniques using memristor devices”, AIP Advances, AIP, February 2016; DOI:10.1063/1.4942041, (IF 1.496)
- Mohammad; H. Saleh, M. Ismail. “Design Methodologies for Yield Enhancement and Power Efficiency in SRAM-Based SoCs,” IEEE Transaction on Very Large Integration System (TVLSI), volume 23, issue 10, pp2054-2064, Oct. 2015, doi: 10.1109/TVLSI.2014.2360319 , IF (1.245)
- Mohammad. “Embedded Memory Interface Logic and Interconnect Testing,” in IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 23, no. 9, pp. 1946-1950, Sept. 2015; doi: 10.1109/TVLSI.2014.2354381, IF(1.245)
- Mahmoud, Lama, M. Alhwarai, S. Yarjan, B. Mohammad, K. Laio,, I. Elnaggar Ismail; “Characterization of a Graphene-Based Thermoelectric Generator Using a Cost-Effective Fabrication, Process Energy Procedia, Elsevier, issue 75, pp 615-620, August 2015; doi: 10.1016/j.egypro.2015.07.466 ,
- Mahmoud, Lama, M. Alhwarai, S.Yarjan, B. Mohammad, K. Laio,, I. Elnaggar Ismail; “Combination of PVA with graphene to improve the seebeck coefficient for thermoelectric generator applications”, Journal of Electronic Materials, Springer, volume 44, issue 1, pp. 420-424, January 2015, doi: 10.1007/s11664-014-3451-4, (IF 1.491)
- Saint-Laurent, B. Bassett, K. Lin, B. Mohammad, et. al. “A 28 nm DSP Powered by an On-Chip LDO for High-Performance and Energy-Efficient Mobile Applications,” in IEEE Journal of Solid-State Circuits, vol. 50, no. 1, pp. 81-91, January 2015; doi: 10.1109/JSSC.2014.2371454 (IF 3.299)
- Abunahla, Dirar Homouz, Y. Halawani,B. Mohammad. “Modeling and device parameter design to improve reset time in binary-oxide memristors“, Applied Physics A, Springer, volume 117, issue, pp 1019-1023, November 2014. DOI:10.1007/s00339-014-8786, (IF 1.44)
- Wahbah, M. Alhawari, B. Mohammad, H. Saleh and M. Ismail. “Characterization of Human Body-Based Thermal and Vibration Energy Harvesting for Wearable Devices,” in IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 4, no. 3, pp. 354-363, Sept. 2014; doi: 10.1109/JETCAS.2014.2337195 (IF 1.578)
- Mohammad, D. Homouz and H. Elgabra. “Robust Hybrid Memristor-CMOS Memory: Modeling and Design,” in IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 21, no. 11, pp. 2069-2079, Nov. 2013; doi: 10.1109/TVLSI.2012.2227519, (IF 1.245)
- Mohammad, J. A. Abraham. “A reduced voltage swing circuit using a single supply to enable lower voltage operation for SRAM-based memory“, Microelectronics Journal 02/2012; volume 43, issue 2:, pp 110-118, February 2012, DOI:10.1016/j.mejo.2011.11.006, (IF 0.92)
- S. Fetzer et al. “A fully bypassed six-issue integer datapath and register file on the Itanium-2 microprocessor,” in IEEE Journal of Solid-State Circuits, vol. 37, no. 11, pp. 1433-1440, Nov 2002; doi: 10.1109/JSSC.2002.803948 (IF 3.299)
Refereed Conferences
- Kilani, B. Mohammad, H. Saleh, Mihai Sanduleanu: Ratioed Logic Comparator based Digital LDO Regulator in 22nm FDSOI , IEEE International Symposium on Circuits and Systems (ISCAS), 05/2020.
- Huruy Tefsai, et al : ASIC Implementation of a PRE-Trained Neural Network for ECG Feature Extraction, IEEE International Symposium on Circuits and Systems (ISCAS), 05/2020.
- Qasem, D. Kilani, B. Mohammad, and M. Sanduleanu, “Time-based Digital LDO Regulator,” in 2019 31st International Conference on Microelectronics (ICM), 2019, pp. 23–26
- Humood, S. A. Hadi, B. Mohammad, M. Abi Jaoude, A. Alazzam, and M. Alhawari, “High-Density ReRAM Crossbar with Selector Device for Sneak Path Reduction,” in 2019 31st International Conference on Microelectronics (ICM), 2019, pp. 244–248
- Alrahis, Muhammad Yasin, H. Saleh, B. Mohammad, M. Al-Qutayri: Functional Reverse Engineering on SAT-Attack Resilient Logic Locking. 2019 IEEE International Symposium on Circuits and Systems (ISCAS); 05/2019, DOI:10.1109/ISCAS.2019.8702704
- Alrahis, Muhammad Yasin, H. Saleh, B. Mohammad, M. Al-Qutayri, and Ozgur Sinanoglu. ScanSAT: unlocking obfuscated scan chains. In Proceedings of the 24th Asia and South Pacific Design Automation Conference (ASPDAC ’19). Association for Computing Machinery, New York, NY, USA, 352–357. DOI:https://doi.org/10.1145/3287624.3287693
- Abunahla, B. Mohammad, A. Alazzam, M. Abi Jaoude, M. Al-Qutayri, S. F. Al-Sarawi: Nonenzymatic Glucose Sensor Using MIM Pt/CuO/Pt. 2018 30th International Conference on Microelectronics (ICM); 12/2018, DOI:10.1109/ICM.2018.8704078
- Halawani, B. Mohammad, M. Al-Qutayri, S. Al-Sarawi: A Re-configurable Memristor Array Structure for In-Memory Computing Applications. 2018 30th International Conference on Microelectronics (ICM); 12/2018, DOI:10.1109/ICM.2018.8704111
- Mahmoud., M. Alhawari, B. Mohammad, H. Saleh, M. Ismail: A Charge Pump Based Power Management Unit With 66%-Efficiency in 65 nm CMOS. 2018 IEEE International Symposium on Circuits and Systems (ISCAS); 05/2018, DOI:10.1109/ISCAS.2018.8350898
- Kilani, M. Alhawari, B. Mohammad, H. Saleh, M. Ismail: An Efficient and Small Area Multioutput Switched Capacitor Buck Converter for IoTs. 2018 IEEE International Symposium on Circuits and Systems (ISCAS); 05/2018, DOI:10.1109/ISCAS.2018.8350979
- Elsayed, H. Saleh, B. Mohammad, M. Ismail: Doherty CMOS power amplifiers for 5G technology. 2017 24th IEEE International Conference on Electronics, Circuits and Systems (ICECS); 12/2017, DOI:10.1109/ICECS.2017.8292114
- Abunahla, D. Shehada, C. Y. Yeun, B. Mohammad, T. Stouraitis: A novel secure conference communication in IoT devices based on memristors. 2017 24th IEEE International Conference on Electronics, Circuits and Systems (ICECS); 12/2017, DOI:10.1109/ICECS.2017.8292056
- Al Maharmeh, H. Saleh, B. Mohammad, M. Ismail, Thanos Stouraitis: Assessment of seven reconstruction methods for contemporary compressive sensing. 2017 24th IEEE International Conference on Electronics, Circuits and Systems (ICECS); 12/2017, DOI:10.1109/ICECS.2017.8292028
- Tariq, A. Al-Dweik, B. Mohammad, H. Saleh, T Stouraitis: Computational power analysis of wireless communications systems using operation-level power measurements. 2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA); 11/2017, DOI:10.1109/ICECTA.2017.8251965 -Best Paper Award
- Kifle, H. Saleh, B. Mohammad, M. Ismail: A sub-μW bio-potential front end in 65nm CMOS. 2017 IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC); 10/2017, DOI:10.1109/VLSI-SoC.2017.8203463
- Abunahla, B. Mohammad, M. Abi Jaoude, M. Al-Qutayri: Novel hafnium oxide memristor device: Switching behaviour and size effect. 2017 IEEE International Symposium on Circuits and Systems (ISCAS); 05/2017, DOI:10.1109/ISCAS.2017.8050791
- Abunahla, M.A Jaoude, I..A Omar, B. Mohammad, M. Al-Qutayri: Resistive switching in sol-gel derived microscale memristors. 2016 IEEE 59th International Midwest Symposium on Circuits and Systems (MWSCAS); 10/2016, DOI:10.1109/MWSCAS.2016.7870045
- Al Rahis, B. M., H. Saleh, M. Ismail: Electret-free electrostatic energy harvesting interface circuit design and analysis. 2016 IEEE 59th International Midwest Symposium on Circuits and Systems (MWSCAS); 10/2016, DOI:10.1109/MWSCAS.2016.7870012 –Best Paper Award
- Abunahla, D. Shehada, C.Y Yeun, C.J. OKelly, M.A Jaoude, B. Mohammad: Novel microscale memristor with uniqueness property for securing communications. 2016 IEEE 59th International Midwest Symposium on Circuits and Systems (MWSCAS); 10/2016, DOI:10.1109/MWSCAS.2016.7870134
- Kilani, M. Alhawari, B. Mohammad, H. Saleh, M. Ismail: An 83% efficiency, 0.6V to 1V output switched-capacitor DC-DC converter for micro-watt power applications. 2016 IEEE 59th International Midwest Symposium on Circuits and Systems (MWSCAS); 10/2016, DOI:10.1109/MWSCAS.2016.7870092
- Abdulqader Mahmoud, M. Alhawari, Mohammad, H. Saleh, M. Ismail: A multi-input, multi-output power management unit using Dickson charge pump for energy harvesting applications. 2016 IEEE 59th International Midwest Symposium on Circuits and Systems (MWSCAS); 10/2016, DOI:10.1109/MWSCAS.2016.7870079
- Tekeste, H. Saleh, B. Mohammad, M. Ismail: Fused floating point arithmetic for discrete wavelet transform. 2016 IEEE 59th International Midwest Symposium on Circuits and Systems (MWSCAS); 10/2016, DOI:10.1109/MWSCAS.2016.7870140
- Alhawari, T. Tekeste, B. Mohammad, H. Saleh, M. Ismail: Power management unit for multi-source energy harvesting in wearable electronics. 2016 IEEE 59th International Midwest Symposium on Circuits and Systems (MWSCAS); 10/2016, DOI:10.1109/MWSCAS.2016.7870049
- Darweesh, T. Habte, H. Saleh, B. Mohammad, M. Ismail: Novel logarithmic ECG Feature Extraction Algorithm Based on Pan and Tompkins. 2016 IEEE 59th International Midwest Symposium on Circuits and Systems, Abu Dhabi; 10/2016, DOI:10.1109/MWSCAS.2016.7870139
- Abunahla, N. E. Nachar, D. Homouz, B. Mohammad, and M. A. Jaoude. Physics model of memristor devices with varying active materials. In 2016 IEEE International Symposium on Circuits and Systems (ISCAS), pages 1590–1593, May 2016.
- Alhawari, D. Kilani, B. Mohammad, H. Saleh, and M. Ismail. An efficient thermal energy harvesting and power management for uwatt wearable biochips. In 2016 IEEE International Symposium on Circuits and Systems (ISCAS), pages 2258–2261, May 2016.
- Tekeste, H. Saleh, B. Mohammad, A. Khandoker, and M. Ismail. A biomedical soc architecture for predicting ventricular arrhythmia. In 2016 IEEE International Symposium on Circuits and Systems (ISCAS), pages 2262–2265, May 2016.
- Halawani, B. Mohammad,M. Al-Qutayri and H. Saleh, “Memory impact on the lifetime of a Wireless Sensor Node using a Semi-Markov model,” 2015 IEEE International Symposium on Circuits and Systems (ISCAS), Lisbon, pp. 1470-1473, May 2015 ; doi: 10.1109/ISCAS.2015.7168922
- Salahat et al., “A robust histogram-based image segmentation ASIC design for System-on-Chip using 65nm technology,” Communications, Signal Processing, and their Applications (ICCSPA), 2015 International Conference on, Sharjah, pp. 1-4, 2015; doi: 10.1109/ICCSPA.2015.7081298
- Bayasi, T. Tekeste, H. Saleh, B. Mohammadand M. Ismail, “A 65-nm low power ECG feature extraction system,” 2015 IEEE International Symposium on Circuits and Systems (ISCAS), Lisbon, pp. 746-749, May 2015, doi: 10.1109/ISCAS.2015.7168741
- Alhawari, D. Kilani, B. Mohammad, H. Saleh and M. Ismail, “An efficient power management unit for ŒºWatt thermoelectric generators,” Information and Communication Technology Research (ICTRC), 2015 International Conference on, Abu Dhabi, 2015, pp. 148-151; doi: 10.1109/ICTRC.2015.7156443
- Alhawari, B. Mohammad, H. Saleh and M. Ismail, “An all-digital, CMOS zero current switching circuit for thermal energy harvesting,” Circuit Theory and Design (ECCTD), 2015 European Conference on, Trondheim, 2015, pp. 1-4; doi: 10.1109/ECCTD.2015.7300094
- Tekeste et al., “Adaptive ECG interval extraction,” 2015 IEEE International Symposium on Circuits and Systems (ISCAS), Lisbon, 2015, pp. 998-1001; doi: 10.1109/ISCAS.2015.7168804
- Abdulslam, Mohammad, M. Ismail and Y. Ismail, “A simple hybrid 3-level buck-boost DC-DC converter with efficient PWM regulation scheme,” 2015 IEEE International Conference on Electronics, Circuits, and Systems (ICECS), Cairo, 2015, pp. 368-371; doi: 10.1109/ICECS.2015.7440325
- Salahat, H. Saleh, A. Sluzek, M. Al-Qutayri, B. Mohammadand M. Ismail, “A maximally stable extremal regions system-on-chip for real-time visual surveillance,” Industrial Electronics Society, IECON 2015 – 41st Annual Conference of the IEEE, Yokohama, 2015, pp. 002812-002815; doi: 10.1109/IECON.2015.7392528
- Salahat, H. Saleh, A. S. Sluzek, B. Mohammad, M. Al-Qutayri and M. Ismail, “Novel MSER-guided street extraction from satellite images,” 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Milan, 2015, pp. 1032-1035; doi: 10.1109/IGARSS.2015.7325945
- Salahat, H. Saleh, A. Sluzek, M. Al-Qutayri, B. Mohammadand M. Ismail, “Novel fast and scalable parallel union-find ASIC implementation for real-time digital image segmentation,” Industrial Electronics Society, IECON 2015 – 41st Annual Conference of the IEEE, Yokohama, 2015, pp. 003122-003125; doi: 10.1109/IECON.2015.7392579
- Kilani, B. Mohammad, H. Saleh and M. Ismail, “LDO regulator versus switched inductor DC-DC converter,” Electronics, Circuits and Systems (ICECS), 2014 21st IEEE International Conference on, Marseille, 2014, pp. 638-641; doi: 10.1109/ICECS.2014.7050066
- Kilani, B. Mohammad, H. Saleh and M. Ismail, “Digital pulse frequency modulation for switched capacitor DC-DC converter on 65nm process,” Electronics, Circuits and Systems (ICECS), 2014 21st IEEE International Conference on, Marseille, 2014, pp. 642-645; doi: 10.1109/ICECS.2014.7050067
- Wahbah, B. Mohammad, H. Saleh and M. Ismail, “Implementation of boost converter zero current detection using digital ASIC design flow,” Electronics, Circuits and Systems (ICECS), 2014 21st IEEE International Conference on, Marseille, 2014, pp. 702-705; doi: 10.1109/ICECS.2014.7050082
- Bayasi, H. Saleh, B. Mohammadand M. Ismail, “65-nm ASIC implementation of QRS detector based on Pan and Tompkins algorithm,” Innovations in Information Technology (INNOVATIONS), 2014 10th International Conference on, Al Ain, 2014, pp. 84-87; doi: 10.1109/INNOVATIONS.2014.6987567
- Kilani, B. Mohammad, H. Saleh and M. Ismail, “Switched capacitor DC-DC converter for ultra-low power applications,” Electronics, Circuits and Systems (ICECS), 2014 21st IEEE International Conference on, Marseille, 2014, pp. 463-466; doi: 10.1109/ICECS.2014.7050022
- Bayasi, T. Tekeste, H. Saleh, A. Khandoker, B. Mohammadand M. Ismail, “Adaptive technique for P and T wave delineation in electrocardiogram signals,” 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Chicago, IL, 2014, pp. 90-93; doi: 10.1109/EMBC.2014.6943536
- Abunahla, B. Mohammadand D. A. Homouz, “Effect of device, size, activation energy, temperature, and frequency on memristor switching time,” 2014 26th International Conference on Microelectronics (ICM), Doha, 2014, pp. 60-63; doi: 10.1109/ICM.2014.7071806
- Tekeste, H. Saleh, B. Mohammad, M. Al-Qutayri and M. Ismail, “Survey of wireless baseband SoC for biomedical application,” Electronics, Circuits, and Systems (ICECS), 2013 IEEE 20th International Conference on, Abu Dhabi, 2013, pp. 98-99; doi: 10.1109/ICECS.2013.6815361
- Halawani, B. Mohammad, M. Al-Qutayri and H. Saleh, “Efficient power management in wireless sensor networks,” Electronics, Circuits, and Systems (ICECS), 2013 IEEE 20th International Conference on, Abu Dhabi, 2013, pp. 72-73.; doi: 10.1109/ICECS.2013.6815350
- H. Saleh, B. S. Mohammadand M. Maalouf, “A high-throughput, contention-free low-power, Radix-2 1k,2k, 4k and 8k-point fast fourier transform engine using 28nm standard-cell process,” Design & Technology of Integrated Systems in Nanoscale Era (DTIS), 2013 8th International Conference on, Abu Dhabi, 2013, pp. 184-185; doi: 10.1109/DTIS.2013.6527807
- Bayasi, H. Saleh, B. Mohammadand M. Ismail, “The revolution of glucose monitoring methods and systems: A survey,” Electronics, Circuits, and Systems (ICECS), 2013 IEEE 20th International Conference on, Abu Dhabi, 2013, pp. 92-93; doi: 10.1109/ICECS.2013.6815358
- Halawani, B. Mohammad, M. Al-Qutayri and H. Saleh, “Modeling of STT-MTJ for low power embedded memory applications: A comparative review,” Electronics, Circuits, and Systems (ICECS), 2013 IEEE 20th International Conference on, Abu Dhabi, 2013, pp. 719-722; doi: 10.1109/ICECS.2013.6815515
- Wahbah and B. Mohammad, “Piezo Electric energy harvester and its interface circuit: Opportunities and challenges,” Electronics, Circuits, and Systems (ICECS), 2013 IEEE 20th International Conference on, Abu Dhabi, 2013, pp. 795-798; doi: 10.1109/ICECS.2013.6815534
- Mohammad,H. Elgabra, R. Ashour and H. Saleh, “Portable wireless biomedical temperature monitoring system: Architecture and implementation,” Innovations in Information Technology (IIT), 2013 9th International Conference on, Abu Dhabi, 2013, pp. 95-100; doi: 10.1109/Innovations.2013.6544400
- Mohammadand H. Saleh, “Energy efficient and hign bandwidth embedded memory implementation,” Design & Technology of Integrated Systems in Nanoscale Era (DTIS), 2013 8th International Conference on, Abu Dhabi, 2013, pp. 117-121; doi: 10.1109/DTIS.2013.6527790
- Halawani, B. Mohammad, D. Humouz, M. Al-Qutayri and H. Saleh, “Memristor for energy efficient wireless sensor node,” 2013 8th IEEE Design and Test Symposium, Marrakesh, 2013, pp. 1-2; doi: 10.1109/IDT.2013.6727141
- Tanurhan et al., “Panel: Regional and global collaboration models to boost chip design sector in the Middle East,” 2013 IFIP/IEEE 21st International Conference on Very Large Scale Integration (VLSI-SoC), Istanbul, Turkey, 2013, pp. xvii-xvii; doi: 10.1109/VLSI-SoC.2013.6673231
- Salahat, H. Saleh, B. Mohammad, M. Al-Qutayri, A. Sluzek and M. Ismail, “Automated real-time video surveillance algorithms for SoC implementation: A survey,” Electronics, Circuits, and Systems (ICECS), 2013 IEEE 20th International Conference on, Abu Dhabi, 2013, pp. 82-83; doi: 10.1109/ICECS.2013.6815354
- Halawani, B. Mohammad, D. Homouz, M. Al-Qutayri and H. Saleh, “Embedded memory design using memristor: Retention time versus write energy,” Electronics, Circuits, and Systems (ICECS), 2013 IEEE 20th International Conference on, Abu Dhabi, 2013, pp. 41-44; doi: 10.1109/ICECS.2013.6815340
- Homouz, Z. Abid, B. Mohammad, Y. Halawani and M. Jacobson, “Memristors for digital, memory and neuromorphic circuits,” 2013 25th International Conference on Microelectronics (ICM), Beirut, 2013, pp. 1-4; doi: 10.1109/ICM.2013.6734970
- Mohammad, N. Eleyan, G. Seok and H. Kim, “Automated flow for generating CMOS custom memory bit map between logical and physical implementation,” 2013 8th IEEE Design and Test Symposium, Marrakesh, 2013, pp. 1-6; doi: 10.1109/IDT.2013.6727105
- Alhawari et al., “Energy efficient system-on-chip architecture for non-invasive mobile monitoring of diabetics,” Design & Technology of Integrated Systems in Nanoscale Era (DTIS), 2013 8th International Conference on, Abu Dhabi, 2013, pp. 180-181; doi: 10.1109/DTIS.2013.6527805
- Alhawari, B. Mohammad, H. Saleh and M. Ismail, “A survey of thermal energy harvesting techniques and interface circuitry,” Electronics, Circuits, and Systems (ICECS), 2013 IEEE 20th International Conference on, Abu Dhabi, 2013, pp. 381-384; doi: 10.1109/ICECS.2013.6815434
- Seok, H. Kim and B. Mohammad, “Write-through method for embedded memory with compression Scan-based testing,” 2012 IEEE 30th VLSI Test Symposium (VTS), Hyatt Maui, HI, 2012, pp. 158-163; doi: 10.1109/VTS.2012.6231096
- Mohammad, P. Dadabhoy, K. Lin and P. Bassett, “Comparative study of current mode and voltage mode sense amplifier used for 28nm SRAM,” 2012 24th International Conference on Microelectronics (ICM), Algiers, Algeria, 2012, pp. 1-6; doi: 10.1109/ICM.2012.6471396
- Elgabra, I. A. H. Farhat, A. S. A. Hosani, D. Homouz and B. Mohammad, “Mathematical modeling of a memristor device,” Innovations in Information Technology (IIT), 2012 International Conference on, Abu Dhabi, 2012, pp. 156-161; doi: 10.1109/INNOVATIONS.2012.6207722
- Abid, D. Homouz, B. Mohammadand W. Wang, “Memristors-based NMOS logic circuits,” 2012 24th International Conference on Microelectronics (ICM), Algiers, Algeria, 2012, pp. 1-4; doi: 10.1109/ICM.2012.6471402
- Mohammad, D. Homouz, O. A. Rayahi, H. Elgabra and A. S. A. Hosani, “Hybrid Memristor-CMOS memory cell: Modeling and design,” ICM 2011 Proceeding, Hammamet, 2011, pp. 1-6; doi: 10.1109/ICM.2011.6177388
- Homouz, B. Mohammad, H. Elgabra and I. Farahat, “Memristor: Modeling read and write operations,” ICM 2011 Proceeding, Hammamet, 2011, pp. 1-5; doi 10.1109/ICM.2011.6177398
- Mohammad, “Low leakage power SRAM cell for embedded memory,” Innovations in Information Technology (IIT), 2011 International Conference on, Abu Dhabi, 2011, pp. 367-370; doi: 10.1109/INNOVATIONS.2011.5893851
- Mohammadand P. Dadabhoy, “Effective screening for NBTI effect on SRAM-based memory,” 2010 International Conference on Microelectronics, Cairo, 2010, pp. 383-386.
doi: 10.1109/ICM.2010.5696167 - Bijansky, B. Mohd and B. Mohammad, “Dynamic power analysis for custom designs,” 2009 IEEE International Conference on IC Design and Technology, Austin, TX, 2009, pp. 173-176; doi: 10.1109/ICICDT.2009.5166289
- Mohammad, M. T. Rab, K. Mohammad and M. A. Suleman, “Dynamic cache resizing architecture for high yield SOC,” 2009 IEEE International Conference on IC Design and Technology, Austin, TX, 2009, pp. 211-214; doi: 10.1109/ICICDT.2009.5166298
- N. Eleyan, K. Lin, M. Kamal, B. Mohammadand P. Bassett, “Semi-custom design flow: Leveraging Place and route tools in Custom Circuit design,” 2009 IEEE International Conference on IC Design and Technology, Austin, TX, 2009, pp. 143-147; doi: 10.1109/ICICDT.2009.5166283
- Hussein, H. Saleh, B. Mohammadand E. John, “Optimum organization of SRAM-based memory for leakage power reduction,” 2008 51st Midwest Symposium on Circuits and Systems, Knoxville, TN, 2008, pp. 775-778; doi: 10.1109/MWSCAS.2008.4616914
- Mohammad,S. Bijansky, A. Aziz and J. Abraham, “Adaptive SRAM memory for low power and high yield,” Computer Design, 2008. ICCD 2008. IEEE International Conference on, Lake Tahoe, CA, 2008, pp. 176-181; doi:10.1109/ICCD.2008.4751858
- Mohammad,M. Saint-Laurent, P. Bassett and J. Abraham, “Cache Design for Low Power and High Yield,” 9th International Symposium on Quality Electronic Design (isqed 2008), San Jose, CA, 2008, pp. 103-107; doi: 10.1109/ISQED.2008.4479707
- Mohammad, K. Lin, P. Bassett and A. Aziz, “A 65nm level-1 cache for mobile applications,” 2008 International Conference on Microelectronics, Sharjah, 2008, pp. 5-10; doi: 10.1109/ICM.2008.5393826
- Saint-Laurent, B. Mohammadand P. Bassett, “A 65-nm pulsed latch with a single clocked transistor,” Low Power Electronics and Design (ISLPED), 2007 ACM/IEEE International Symposium on, Portland, OR, 2007, pp. 347-350; doi: 10.1145/1283780.1283855
- Mohammad,P. Bassett, J. Abraham and A. Aziz, “Cache Organization for Embeded Processors: CAM-vs-SRAM,” 2006 IEEE International SOC Conference, Taipei, 2006, pp. 299-302; doi: 10.1109/SOCC.2006.283902
Author and co-Authored more than 22 issued US patent and several pending patent applications.
Granted Patents:
|
Patent # |
Date |
Patent Title |
1 |
May 2020 |
||
2 |
Feb 2019 |
||
3 |
May 2018 |
||
4 |
May 2018 |
||
5 |
April 2018 |
Volatile memory erasure by controlling refreshment of stored data |
|
6 |
Oct. 2017 |
Volatile memory erasure by manipulating reference voltage of the memory |
|
7 |
Oct. 2017 |
||
8 |
August 2017 |
||
9 |
June 2017 |
Volatile memory erasure by the randomization of data stored in memory cells |
|
10 |
May 2017 |
||
11 |
May 2017 |
A science paper written by researchers from Khalifa University’s System on Chip Center (SoCC) received 1,800 article downloads in 2020, placing it as one of the top 100 downloaded materials science papers for Scientific Reports in 2020. Their paper describes a new type of flexible memristor device, that could extend the application of memristors to flexible electronic technologies like wearable smart devices. Scientific Reports published more than 650 materials science papers in 2020, and so a position in the top 100 most downloaded articles is an extraordinary achievement, showing that KU’s science is of real value to the research community!
Find out about their research paper here.
This paper presents a novel analog resistive random-access memory (RRAM), named NeuroMem, which consists of Au/GO/Au. The device’s resistance can be tuned to any value within its R OFF to R ON range with high precision. The analog characteristic of NeuroMem mimics the memorization behavior of the brain, which makes it great asset for artificial neural network applications. In this work, NeuroMem-based crossbars are fabricated to hold the synaptic weights needed to perform Iris classification. The weight values are mapped to conductance states within NeuroMem R OFF to R ON range, and then written accurately on the actual devices. Unlike other RRAM-based hardware with limited conductance states, in this work no quantization is needed which enables efficient in memory-computing without scarifying accuracy. Furthermore, NeuroNem device has been demonstrated in crossbars on flexible polymer substrate using standard photolithography process, which facilitates producing low cost flexible electronics. This work opens up great insights towards realizing RRAM-based computing at the edge.
View full paper here: https://ieeexplore.ieee.org/document/9184484
A 28GHz, Modified Doherty Power Amplifier (MDPA) was implemented in 22nm FDSOI CMOS technology from GF. The MDPA adopts an asymmetrical topology utilizing two cascode CMOS amplifiers as the main (Class-A) and auxiliary (Class-C). This allows a supply voltage of 2.5V and consequently higher output power. The use of a main Class-A amplifier is conducive to a higher linearity (IIP3). The integrated design implements the main and auxiliary amplifier, along with the matching and transmission line networks on chip. The fabricated amplifier occupies an area of 1.2mm 2 , exhibits 12 dBm saturated output power, a peak power gain of 10dB, 16% peak power-added efficiency (PAE) and 12.5% at 6-dB back-off. The measured IIP3 is 20dBm.
View full paper and presentation here: https://ieeexplore-ieee-org.libconnect.ku.ac.ae/document/9180851
The electrocardiogram signal (ECG), a record of electrical activity of the cardiac muscle, has been used in diagnosing many cardiopathies. Wearable devices equipped with readout sensors and circuits can be used to record and process weak ECG signals. In this paper, a pre-trained neural network was implemented for detecting the QRS feature of an ECG signal, which is crucial for auto-diagnostic of various cardiopathies. To take advantage of the fast evolution of artificial intelligence and its ability to find non-linear relationships, neural network based feature extraction of ECG signals for wearable devices was explored and tested using ASIC implementation flow. Firstly, a high-level simulation was carried out in MATLAB and verified with test data obtained from PhysioNET database. Recurrent neural network (RNN) MLP was created and trained using the data obtained from PhysioNET database. A high-level performance evaluation was carried out using the same network for P and T wave extraction. The weight and bias matrices obtained from the high-level trained network in MATLAB were used in the design of the hardware. An accuracy of 96.55% was achieved in the hardware implementation of the network.
View paper and presentation: https://ieeexplore-ieee-org.libconnect.ku.ac.ae/document/9180703/metrics#metrics
This paper presents a fast and an efficient digital LDO (DLDO) regulator utilizing a clock-less ratioed logic comparator (RLC). In addition to eliminating the clock, the proposed RLC-DLDO removes the shift registers used in the conventional DLDO. It achieves a transient speed improvement in the ns range and a quiescent current reduction by 9X over the conventional DLDO design that targets μA load current. The RLC-DLDO has an input voltage range between 0.8V and 0.6V and generates an output voltage range between 0.7V to 0.5V for load current between 10μA and 500μA. The design is implemented in 22nm FDSOI and occupies an active area of 0.0171mm2. The simulation results show that the peak efficiency is 99.9% and the load transient response time is 5ns at VL=0.5V.
View full paper and presentation here: https://ieeexplore-ieee-org.libconnect.ku.ac.ae/document/9181174
The growth of wireless communication technologies that are integral to the Fourth Industrial Revolution, or Industry 4.0, has necessitated the development of cost- and power-efficient devices that can tune and filter the radiofrequency (RF) spectrum used in advanced wireless systems.
A collaborative research project has, for the first time, demonstrated the feasibility of a next-generation RF tuning device to allow cost-effective and power-efficient adaptable communication systems. The project is led by Dr. Heba Abunahla, Research Scientist at Khalifa University (KU), and is part of KU’s System-on-a-Chip Lab, which is dedicated to the design and realization of advanced electronic circuits and systems and sensory devices.
The wireless technologies that modern society uses for many daily activities, like mobile phones and fitness trackers, and that are critical for the growth of the Internet of Things (IoT), transmit data by manipulating radio waves. They do this through tiny specialized sensors, known as RF filters, that send and receive data. As wireless communication has grown, the radio bandwidths used to transmit this data have become more and more crowded. This has necessitated the development of robust RF filters that can automatically and intelligently tune the bandwidth to remove unwanted radio signals – a type of filter known as tunable RF filters.
“Being a crucial component in radio frequency transceivers, filters play a major role in wireless communication, which is among the main pillars of the IoT technology stack. The main purpose of our project was to demonstrate experimentally, after verifying the design with simulations, the feasibility to integrate a new, emerging memory device within the metal of the RF filter to achieve frequency tuning,” Dr. Abunahla explained.
The collaborative group includes System-on-a-Chip Lab Director Dr. Baker Mohammad, Dr. Rida Gadhafi of the University of Dubai, and Dr. Mihai Sanduleanu, Dr. Anas Alazzam, and Mamady Kebe from KU. A paper on their research was recently published in the peer-reviewed, open-access journal Scientific Reports – Nature.
Their project integrates tunable RF filters with the emerging technology of memristor, an electrical component that “remembers” the amount of charge that has previously flowed through it and adjusts its resistance accordingly. Memristor devices are able to retain the data stored within them without the need for a power source. When memristors are used to store data they are referred to as resistive random access memory (RRAM) devices.
Dr. Abunahla’s team proposed constructing an RRAM device using graphene oxide – a chemically modified version of the “wonder material” graphene – and integrating it into the metal of the RF filter. Graphene oxide shares some of graphene’s noted strength, but is far cheaper and easier to use. Although initially not as conductive as graphene, methods have been developed to enhance graphene oxide’s transparency and conductance.
“Graphene-based switching devices are gaining great interest due to their excellent properties in terms of low cost, flexibility, adaptability, and being environmentally friendly. Deploying graphene as electrodes in RRAM devices can increase its conductivity and thus improve the device’s performance,” said Dr. Abunahla.
The team first tested their hypothesis by designing a detailed computer simulation. To provide a proof of concept, they then developed a prototype tunable RF filter using graphene oxide. While previous research projects have used RRAM as a standalone component to tune resistance, the team integrated the graphene oxidebased RRAM into the metal of the RF filter.
To demonstrate the diversity of the resulting tunable RF filter, the team tested their proposed device design using three different metals – copper, gold, and silver – for its electrodes. All three metals demonstrated the potential to be deployed in the tunable RF filter depending on the intended use of the communication element. The proof-of-concept device used gold to demonstrate the proposed RRAM-based filter tuning. Testing of the prototype device at room temperature for two hours, in both the on and off position, demonstrated that the device was stable and could hold its last written state for up to one year.
“This project proved the possibility of tuning RF devices using a cost-efficient and power-effective approach. The results exhibited by this project showed promising insights that serve as milestones in the research of memory-based adaptable communication systems,” Dr. Abunahla said.
The research team asserted that their project has significant potential for commercialization in the local and global telecom markets. The RF tunable filter market was estimated to be worth $89 million in 2020, and is expected to reach $148 million by 2025, according to research published by MarketsandMarkets.
“Our device enables low-cost and low-power tunable filters for alwaysconnected devices, which is an important contribution to the UAE’s Fourth Industrial Revolution, where we foresee large-scale adoption of IoT and artificial intelligenceenabled technologies and systems,” Dr. Abunahla explained.
The Fourth Industrial Revolution – or Industry 4.0 – is the ongoing automation of manufacturing and industry through smart technologies like IoT and machine-tomachine communications. Under the Strategy for the Fourth Industrial Revolution, launched in 2017, the UAE is looking to become an Industry 4.0 hub to increase its contribution to the national economy by advancing innovation and future technologies.
The next step for the project is to enhance the filter design to adapt to the fifth-generation technology standard for broadband cellular networks, known as 5G. 5G networks, which were introduced in 2019, have greater bandwidth than previous cell networks. This increased bandwidth enables higher download speeds, which in turn supports more rapid communication, business, and the integration of smart technologies.
This article was originally published in the UAE Ministry of Education’s research magazine, Innovation@UAE, and can be found here: https://issuu.com/moeuae/docs/explorer_6384_research_magazine_en_final_dps
Vital signs such as blood pressure and heart rate could soon be monitored wirelessly via radar following pioneering work by UAE researchers.
A team at Khalifa University believe the technology could be used in hospitals and from homes, reducing the need for doctors’ house visits and avoiding the need for patients to be physically hooked up to machines.
Scientists hope that in time the radars could also be deployed in public settings such as airports to monitor the health of passengers and prevent the spread of future pandemics.
Read full story here: https://www.thenationalnews.com/uae/health/pioneering-uae-research-monitors-vital-signs-by-radar-1.1002005
A team of researchers from Khalifa University has developed a portable Covid-19 testing kit, no larger than your average smartphone. The new kit is both portable and can deliver the results in 45 minutes only.
Dr. Anas Alazzam, Associate Professor of Mechanical Engineering and member of the System on Chip Center (SOCC) is the primary investigator for the project with Dr. Habiba AlSafar, Director of the Khalifa University Center for Biotechnology and Associate Professor of Genetics and Molecular Biology, as co-principal investigator. The research team includes the Postdoctoral Researchers Dr. Waqas Waheed and Dr. Sueda Saylan, along with Research Associate Hussein Kannout.
Read full story here: https://www.ku.ac.ae/khalifa-university-research-team-develops-new-portable-cost-effective-pcr-test-to-help-detect-covid-19-in-45-minutes
A team of researchers from Khalifa University has investigated a memristor-based image compression architecture to speed up image compression while also making the devices using this technology much smaller and more energy efficient.
The team comprised Dr. Yasmin Halawani, Post-doctoral Researcher, Dr. Baker Mohammad, Associate Professor, Dr. Mahmoud Al-Qutayri, Professor, all from the System-on-Chip Lab and Department of Electrical and Computer Engineering at Khalifa University, and Dr. Said Al-Sarawi from the Center for Biomedical Engineering at the University of Adelaide, Australia.
Dr. Halawani explained in her doctoral thesis that today’s devices are “jam-packed with a variety of sensors, which are collectively expected to generate more than 40 zettabytes in 2020.” That’s one billion terabytes of data or one trillion gigabytes.
“This huge amount of generated data needs to be processed at a fast rate using complex algorithms to interpret the information,” explained Dr. Halawani. “This is computationally demanding, but Internet-of-Things devices tend to be energy-constrained and have limited resources, so innovative architectures and technologies that enable efficient.
Read full story here: https://www.ku.ac.ae/shrinking-images-for-efficient-transfer-and-storage-with-memristors
Computer scientists have long been inspired by the human brain, aiming to design a computer that is able to store, retrieve and process information just as efficiently as the brain. The memristor, short for memory resistor, could be the key to designing such a computer as it processes information in a way that mimics the brain’s synapses and enables efficient neural network architecture.
A team from Khalifa University has now developed a new type of flexible memristor device, called ‘NeuroMem’, that will extend the application of memristors to flexible electronic technologies like wearable smart devices. The team, including Dr. Baker Mohammad, Associate Professor of Electrical Engineering and Computer Science and Director of the System-on-Chip Lab (SoCL), Dr. Heba Abunahla, Research Scientist, Dr. Yasmin Halawani, Postdoctoral fellow, and Dr. Anas Alazzam, Associate Professor of Mechanical Engineering, published their findings recently in Scientific Reports.
Read full story here: https://www.ku.ac.ae/neuromem-mimicking-the-synapses-in-the-human-brain
Researchers at Khalifa University’s System-on-Chip Lab have filed a patent for a novel low-cost glucose sensor that can measure glucose at neutral pH conditions, resulting in a lower-cost and more compact device.
A research group led by Dr. Heba Abunahla, Postdoctoral Fellow of Electrical Computer Engineering at KU’s System-on-Chip Lab (SoCL), has developed a novel low-cost non-enzymatic glucose sensor for adults. While glucose sensors are not revolutionary in themselves, the distinguishing property of this sensor is its ability to measure glucose at neutral pH conditions. The sensor is the result of a cooperative effort with faculty from the departments of Chemistry (Dr. Maguy Abi Jaoude), Mechanical Engineering (Dr. Anas Alazzam), and Electrical Engineering and Computer Science (Dr. Mahmoud Al-Qutayri and Dr. Baker Mohammad).
Read full story here: https://www.ku.ac.ae/portable-glucose-sensor-could-improve-diabetes-treatment