- CCD and CMOS Imaging Sensors
- Advanced Chemical Sensor Technologies
- Analytical Chemistry and Sensors
- Gas Sensing Nanomaterials and Sensors
- Analog and Mixed-Signal Circuit Design
- Advanced Memory and Neural Computing
- Neuroscience and Neural Engineering
- Infrared Target Detection Methodologies
- Image Processing Techniques and Applications
- Advanced Sensor and Energy Harvesting Materials
- Insect Pheromone Research and Control
- Optical Polarization and Ellipsometry
- Advancements in Semiconductor Devices and Circuit Design
- Low-power high-performance VLSI design
- Neural Networks and Applications
- Advanced MEMS and NEMS Technologies
- Olfactory and Sensory Function Studies
- Nanomaterials and Printing Technologies
- Radio Frequency Integrated Circuit Design
- Analytical Chemistry and Chromatography
- Advanced Data Compression Techniques
- Optical Wireless Communication Technologies
- Image and Signal Denoising Methods
- Advancements in PLL and VCO Technologies
- Energy Harvesting in Wireless Networks
Hamad bin Khalifa University
2016-2025
University of Hong Kong
2013-2024
Hong Kong University of Science and Technology
2013-2024
Qatar Foundation
2019-2024
Bahria University
2023
Information Technology University
2023
Hohai University
2022
Université Bourgogne Franche-Comté
2021
Université de Bourgogne
2021
Franche-Comté Électronique Mécanique Thermique et Optique - Sciences et Technologies
2021
This paper presents the first end-to-end network for exemplar-based video colorization. The main challenge is to achieve temporal consistency while remaining faithful reference style. To address this issue, we introduce a recurrent framework that unifies semantic correspondence and color propagation steps. Both steps allow provided image guide colorization of every frame, thus reducing accumulated errors. Video frames are colorized in sequence based on history, its coherency further enforced...
Human are producing plastic and electronic wastes in huge amount, polluting our environment especially water resources causing life-threatening complications. On the other hand, increasing consumption of fossil energy is further damaging environment. To help mitigate these problems, we present a facile, environment-friendly, low-cost triboelectric nanogenerator (TENG) by recycling waste for power generation through biomechanical energy. The proposed graphite based (GP-TENG) fabricated (dry...
An ultra-low power embedded CMOS temperature sensor based on serially connected subthreshold MOS operation is implemented in a 0.18 μm process for passive RFID food monitoring applications. Employing as sensing element enables reduced minimum supply voltage further reduction, which of utmost importance Both proportional-to-absolute-temperature (PTAT) and complimentary-to-absolute-temperature (CTAT) signals can be obtained through proper transistor sizing. With the core working under 0.5 V...
This paper presents a system-on-chip passive RFID tag with an embedded temperature sensor for the EPC Gen-2 protocol in 900-MHz UHF frequency band. A dual-path clock generator is proposed to support both applications either very accurate link or low power consumption. On-chip sensing accomplished time-readout scheme reduce Moreover, gain-compensation technique error due process variations by using same bandgap reference of generate bias currents current-to-digital converter and sensor. Also...
In this work, we present a high-performance smart electronic nose (E-nose) system consisting of multiplexed tin oxide (SnO2) nanotube sensor array, read-out circuit, wireless data transmission unit, mobile phone receiver, and processing application (App). Using the designed device structure in conjunction with multiple electrode materials, high-sensitivity gas detection discrimination have been achieved at room temperature, enabling 1000 times reduction sensor's power consumption as compared...
Much greater surface-to-volume ratio of hierarchical nanostructures renders them with promising potential for high performance chemical sensing. In this work, crystalline nanocombs were synthesized via vapor deposition and fabricated into resistive gas sensors. Particularly, NO2 sensing these devices has been systematically characterized, showing higher sensitivity as compared to their nanobelt counterparts. Through device simulation, it was discovered that the teeth part a nanocomb could...
To overcome the low-efficiency and limited working range of existing RF energy harvesting (EH) systems for wireless Internet-of-Things (IoT) sensors, a novel reconfigurable system is proposed with integrated hill-climbing, maximum power point tracking (MPPT) function wide input from -22 to 4 dBm. A conceptual linear model high accuracy also analyze rectifier efficiency MPPT operations. The off-chip matching designed patch antenna at 915-MHz industrial, scientific medical (ISM) band. further...
Recently, there has been a surge of interest in applying memristors to hardware implementations deep neural networks due various desirable properties the memristor, such as nonvolativity, multivalue, and nanosize. Most existing network circuit designs, however, are based on generic frameworks that not optimized for memristors. Furthermore, best our knowledge, no efficient memristor-based complex operators, deconvolutions squeeze-and-excitation (SE) blocks, which critical achieving high...
The greenhouse microclimate, especially temperature, is highly complex, and controlling it requires significant resources due to the greenhouses' inefficient design. application of model predictive control a promising strategy for temperature efficient management. However, does not account inaccuracies uncertainties existing in system, leading sub-optimal temperatures. Therefore, this study proposes comprehensive data-driven robust framework its energy utilisation assessment presence...
In this paper, we describe the design, modeling, fabrication, and optical characterization of first micropolarimeter array enabling full Stokes polarization imaging in visible spectrum. The proposed is fabricated by patterning a liquid-crystal (LC) layer on top visible-regime metal-wire-grid polarizer (MWGP) using ultraviolet sensitive sulfonic-dye-1 as LC photoalignment material. This arrangement enables formation either micrometer-scale rotators, neutral density filters or quarter...
An RFID tag features a temperature sensor with gain-error compensation, dual-path clock generator for both accurate link frequency and low power applications, zero-mask CMOS OTP memory array cost. The executes EPC-compliant SENSE-WRITEREAD commands -6 dBm sensitivity +0.4/-1.1°C error one-point calibration.
This paper presents a CMOS single-chip gas recognition circuit, which encodes sensor array outputs into unique sequence of spikes with the firing delay mapping strength stimulation across array. The proposed circuit examines generated spike pattern relative excitations population sensors and looks for match within library 2-D spatio-temporal signatures. Each signature is drift insensitive, concentration invariant also characteristic target gas. VLSI friendly approach relies on simple code...
Increasing the number of sensors in a gas identification system generally improves its performance as this will add extra features for analysis. However, affects computational complexity, especially if algorithm is to be implemented on hardware platform. Therefore, feature reduction required extract most important information from processing. In paper, linear discriminant analysis (LDA) and principal component (PCA)-based algorithms have been analyzed using data obtained two different types...
Division of focal plane (DoFP) polarization image sensors capture properties light at every imaging frame. However, these only partial information, resulting in reduced spatial resolution output and a varying instantaneous field overview (IFoV). Interpolation methods are used to reduce the drawbacks recover missing information. In this paper, we propose residual interpolation as an alternative normal for division sensors, where is difference between observed tentatively estimated pixel...
In this paper, we present a novel one-dimensional deep convolutional neural network (1D-DCNN) with multi-label-way-based algorithm for comprehensively and automatically extracting features classifying mixture gases. Although number of pattern recognition methods have been used to analyze the mixed gases, performances these highly depend on hand-crafted feature engineering. By contrast, proposed implementation, based convolution, is capable distinguishing individual component binary gases...
This paper presents an all-printed human body temperature sensor developed on a plastic substrate with high deformation characteristics. The sensors are <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$50~\mu \text{m}$ </tex-math></inline-formula> thick Kapton structural configuration of silver interdigital electrodes (IDEs) fabricated through inkjet material printer DMP 2850 and the sensing film based...
With the global increase in food demand, closed and controlled greenhouses are an essential source for year-round crop production. Maintaining optimum conditions inside greenhouse throughout year is critical to improving quality yield. However, consume more resources than other commercial buildings due their inefficient operation structure. Therefore, a data-driven model predictive control approach semi-closed proposed temperature reducing energy consumption this study. The method consists...
Abstract Phononic crystals (PnCs) exhibit acoustic properties that are not usually found in natural materials, which leads to the possibility of new devices for complex manipulation waves. In this article, a micron‐scale phononic waveguide constructed by line defects PnCs achieve on‐chip, tightly confined guiding, bending, and splitting surface waves (SAWs) is reported. The PnC made square lattice periodic nickel pillars on piezoelectric substrate. constant, pillar diameter, height set 10,...
Triboelectric nanogenerators (TENGs) represent a promising solution to mounting environmental concerns associated with battery disposal amid the escalating demand for portable electronics. However, prevailing TENG fabrication predominantly relies on nonbiodegradable, nonbiocompatible, and synthetic materials, posing grave ecological threat. To mitigate this, there is pressing need develop eco-friendly green TENGs leveraging sustainable, naturally occurring materials. This study pioneers use...