We are seeking students from all over the world who bring new perspective, different educational systems, new methods, new ideas.... to enrich our diverse student body. KAUST has students from over 80 countries coming from 200+ different institutions worldwide.
Students receive research credits they can transfer to their own school, enjoy free shared accommodation on campus, round trip tickets from their home country, tax free monthly stipend ($1000 USD), free health insurance and full access to all of the research, academic and social facilities at KAUST. The internship duration is 3-6 months. Generic details of the program can be found at: https://www.kaust.edu.sa/internship/home.html
Areas of interest (not a full list):
- Brain-inspired computing
- Biosensors and bioelectronics
- Integrated Circuits
Students should have EE, physics, materials or CS background. Excellent GPA. Strong circuits, microelectronics, VLSI,.... background. Past research experience is a plus. Knowledge of scripting languages (Paython), 3D max,.....is a plus. If interested send an email to (firstname.lastname@example.org) with your CV, interests and transcripts.
Currently, our sensors lab has students from Saudi, Lebanon, India, Turkey, Tunisia and this summer from Vietnam and Kazakhstan. We had in the past members from China, Egypt, Russia, Greece, Syria, Mexico, Brasil,... Alumni from our lab ended up pursuing further studies or careers at: USC, UNC, UC-Berkeley, UMICH, Imperial college, Mckinsey, Oracle, ARAMCO,IBM,...... So if you got the skills, passion for science, dedication to hard work and love to add to our diversity you will find KAUST a good place to study, do research and have fun.
Dr Mahmoud Ouda defended his PhD on wireless energy harvesting from ambient RF signals at the sensors group.Dr Ouda will be joining Imperial college London as a postdoctoral fellow starting April 1st, 2017 The dissertation is unique in developing an integrated RF-DC converter with on-chip antenna for lowering costs—in essence eliminating the cost of fabricating a different antenna. Another unique aspect of this thesis is the RF harvester’s integration with a wireless powered implantable sensor. The details are outlined in his thesis "Wide-Range Highly-Efficient Wireless Power Receivers for Biomedical Sensors".
His work resulted in following publications:
This summer we will host two internship students from NU, Kazakhstan, Olga Krestinskaya and Irina Fedorova . They will work on the fabrication and modelling of memristor devices. They will extend their work to build neuromorphic computational units. This work is in collaboration with Prof. Alex James.
Olga Krestinskaya (2016-2017)
Olga Krestinskaya received her Bachelor's degree in Electrical and Electronic Engineering in 2016 from the Nazarbayev University, Kazakhstan. Currently she is doing her Master's Degree in the Nazarbayev University. During the undergraduate study, she conducted the research on memristive circuits and bio-inspired algorithms. Currently, she focuses on hierarchical temporal memory and pattern recognition algorithms.
Irina Fedorova (2016-2017)
Irina Fedorova received her Bachelor's degree in Electrical and Electronic Engineering in 2016 from the Nazarbayev University, Kazakhstan. Starting from the first year of Bachelor’s degree studies at Engineering Department she was involved into research on neuromorphic circuits design. Her interest includes memristive circuits and logic cells that could be used along with conventional CMOS circuits for designing neuromorphic vision system. The focus of her current work is Hierarchical Temporal Memory.
Three times in a row, KAUST is #1 in the world in citations per faculty which is a measure of research impact, according to the 2016-2017 QS world university ranking, The rankings compare the top 800 universities across four broad areas of interest to prospective students: research, teaching, employability and international outlook. These four key areas are assessed using six indicators, each of which is given a different percentage weighting. "Among those indicators is the citations per faculty. This indicator aims to assess universities’ research output. A ‘citation’ means a piece of research being cited (referred to) within another piece of research. Generally, the more often a piece of research is cited by others, the more influential it is. So the more highly cited research papers a university publishes, the stronger its research output is considered. "
The total number of citations for a five-year period is divided by the number of academicians in a university to yield the score for this measure, which accounts for 20 per cent of a university’s possible score in the Rankings. QS collects this information using Scopus, the world’s largest database of research abstracts and citations. The latest five complete years of data are used, and the total citation count is assessed in relation to the number of academic faculty members at the university, so that larger institutions don’t have an unfair advantage. "
KAUST was also ranked #1 in percentage of international students and #1 in percentage of international faculty.
QS World University Rankings are annual university rankings published by British Quacquarelli Symonds (QS). The publication is one of the three most influential and widely observed international university rankings, alongside the Times Higher Education World University Rankings and the Academic Ranking of World Universities.
Our recent work on H2S sensors have been highlighted at Nanowerk
n inkjet-printed, fully passive sensor capable of either humidity or gas sensing. The sensor is composed of an interdigitated electrode, a customized printable gas sensitive ink and a specialized dipole antenna for wireless sensing. The interdigitated electrode printed on
a paper substrate provides the base conductivity that varies during the sensing process. A fast response time of 3 min is achieved at room temperature for a H2S concentration of 10 ppm at a relative humidity (RH) of 45%. The passive wireless sensing is enabled through an antenna in which the inner loop takes care of conductivity changes in the 4–5 GHz band, whereas the outer-dipole arm
is used for chipless identification in the 2–3 GHz band.
More details can be found at:
Abdul Quddious , Munawar M. Khan , Farooq A. Tahir, Shuai Yang, Atif Shamim, Khaled N. Salama, Hammad M. Cheema, Disposable, Paper Based and Inkjet-Printed Humidity and H2S Gas Sensor for Passive Sensing Applications, Sensors 2016, 16, 2073; doi:10.3390/s16122073
The work has been accepted at IEEE transactions on circuits and systems.
H. Omran, Abdulaziz Alhoshany, H. Alahmadi, and K. N. Salama, A 33fJ/Step SAR Capacitance-to-Digital Converter Using a Chain of Inverter-Based Amplifiers" IEEE Transactions on Circuits and Systems I, 2016 10.1109/TCSI.2016.2608905
Its worth mentioning that a differential version of the work has been presented at the prestigious VLSI symposium with almost the same FoM due the use of Quasi-dynamic operation to maintain the energy efficiency for a scalable sample rate
H. Omran, A. Alhoshany, H. Alahmadi , and K. N. Salama, “A 35fJ/Step Differential Successive Approximation Capacitive Sensor Readout Circuit with Quasi-Dynamic Operation,” Symposia on VLSI Technology and Circuits, 2016.
This work builds on our earlier work:
Dr Mahmoud Ouda just defended his PhD which was highly received. Mahmoud worked on wireless energy harvesting from ambient RF signals. The dissertation is unique in developing an integrated RF-DC converter with on-chip antenna for lowering costs—in essence eliminating the cost of fabricating a different antenna. Another unique aspect of this thesis is the RF harvester’s integration with a wireless powered implantable sensor. Such sensors will become ubiquitous for medical applications, with their numbers reaching in the trillions. The need to power these sensors wirelessly eliminates batteries and makes the sensors maintenance free. Also, the achieved efficiencies of 65% at 433MHz with an input power of -15dBm is well in line with some of the best achieved efficiencies. Further, the developed RF-to-DC power converter, operating at 5.2GHz and incorporating adaptive self-biasing, is certainly unique. Even more, the peak efficiency of 90% is quite impressive. That is, this work carried out RF-to-DC harvesting at 400MHz and at 5.2GHz. This work was conducted in collaboration with Prof. Waleed Khalil, Thh ohio state university. The details are outlined in his thesis "Wide-Range Highly-Efficient Wireless Power Receivers for Biomedical Sensors". Prof. John Volakis, the director of Electroscience lab, The ohio state university commented that " Mahmoud has done an impressive amount of work. His focus has certainly been on the integration of RF-to-DC wireless power harvester with medical sensors. Altogether, Mr. Ouda has published 5 journal papers in well-read and followed journals. This is impressive, and demonstrates the strong contributions of this dissertation." His work resulted in following publications:
This CDC meets extremely low power requirements by using an operational transconductance amplifier (OTA) that is based on a current-starved inverter. It uses a charge-redistribution DAC that involves coarse-fine architecture. The prototype CDC was fabricated using a standard 180 nm CMOS technology. The 12-bit CDC has a measurement time of 42.5 μs, covers a wide range of capacitance of 16.14 pF with a 4.5 fF absolute resolution and consumes 3.54 μW and 0.29 μW from analog and digital supplies, respectively. For more details check
Abdulaziz Alhoshany, Hesham Omran, Khaled N. Salama, "A 45.8fJ/Step, Energy-Efficient, Differential SAR Capacitance-to-Digital Converter for Capacitive Pressure Sensing", Sensors & Actuators: A. Physical, Vol 245, Pages 10–18, 2016
This work builds on our earlier work:
Follow up work:
we report the fabrication of an advanced sensor for the detection of hydrogen sulfide (HS) at room temperature, using thin films of rare-earth metal (RE)-based metal–organic framework (MOF) with underlying topology. The sensor showed a remarkable detection sensitivity for HS at concentrations down to 100 ppb, with the lower detection limit around 5 ppb. The fum--MOF sensor exhibits a highly desirable detection selectivity towards HS vs. CH, NO, H, and CH as well as an outstanding HS sensing stability as compared to other reported MOFs. More details can be found at:
Omar Yassine, Osama Shekhah, Ayalew H. Assen, Youssef Belmabkhout, Khaled N. Salama and Mohamed Eddaoudi "H2S Sensors: Fumarate-Based fcu-MOF Thin Film Grown on a Capacitive Interdigitated Electrode" , Angew. Chem. Int. Ed.. doi:10.1002/anie.201608780
This builds on our earlier work with Eddaoudi's group: