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Brno University of Technology visit

posted May 22, 2017, 10:57 AM by Khaled salama   [ updated May 22, 2017, 11:05 AM ]

A very productive trip to Brno University of Technology results into a strong collaboration with Prof. Norbert Herencsar. Prof. Salama gave two lectures on Fractional capacitor implementation and memristor circuits. In addition conducting talks with heads of the various departments of the faculty of electrical engineering. PhD students
Aslihan Kartci (Brno) and Agamyrat Agambayev (KAUST) are working on few ideas. In addition, we got to enjoy some nice time at the beautiful city of Brno.


Large Area environmental monitoring made possible!

posted May 19, 2017, 1:59 AM by Khaled salama   [ updated May 24, 2017, 10:58 PM ]

Large area environmental monitoring can play a crucial role in dealing with crisis situations. However, it is challenging as implementing a fixed sensor network infrastructure over large remote area is economically unfeasible. A strong collaboration between our lab and Prof. Atif Shamim's lab resulted in a disposable, compact, dispersible 3D-printed wireless sensor nodes with integrated microelectronics which can be dispersed in the environment and work in conjunction with few fixed nodes for large area monitoring applications. 
As a proof of concept, the wireless sensing of temperature, humidity, and H2S levels are shown which are important for two critical environmental conditions namely forest fires and industrial leaks.  The work is receiving good media coverage (LinkMore details can be found in:
Muhammad Fahad Farooqui Muhammad Akram Karimi, Khaled Nabil Salama and Atif Shamim, 3D-Printed Disposable Wireless Sensors with Integrated Microelectronics for Large Area Environmental Monitoring, Advanced Materials Technologies, 2017 DOI: 10.1002/admt.201700051

Congratulations Dr Rawan Naous

posted May 16, 2017, 9:06 AM by Khaled salama   [ updated May 16, 2017, 3:40 PM ]

Dr Rawan Naous just defended her PhD which was highly received. Rawan worked on future computing systems.  Current CMOS-Based technologies are facing design challenges related to the continuous scaling down of minimum feature size according to Moore’s law. Moreover, the conventional computing architecture is no more an effectual way to fulfill modern applications demands, such as big data analysis, pattern recognition, and vector processing. Therefore, there is an exigent need to shift to new technologies, at both the architecture and the device levels. Recently, memristor devices and structures attracted attention for being promising candidates for this job. Memristor devices add a new dimension for designing novel circuits and systems. In addition, high-density memristor-based crossbar is widely considered to be the essential element for future memory and bio-inspired computing systems. However, there are numerous challenges that need to be addressed before the memristor genuinely replaces current memory and computing technologies. The details are outlined in her thesis  "Beyond Von Neuman:Memristor Architectures".  Prof. Fadi Kurdahi, UC-Irvine commented that " Overall, this is a high quality work, exemplified by a good mix of sound theory validated by thorough experimentation." Her work resulted in the following publications:
  1. M. Al-Shedivat, R. Naous, G. Cauwenberghs, and K.N. Salama "Memristors Empower Spiking Neurons with Stochasticity” IEEE Journal on Emerging and Selected Topics in Circuits and Systems vol.5, no. 2, pp. 242-253, 2015
  2. R. Naous, M. Al-Shedivat, and K.N. Salama “Stochasticity Modeling in Memristors” IEEE Transactions on Nanotechnology, vol. 15, no. 1, pp. 15-28, 2016
  3. R. Naous, M. Zidan, A. Sultan, and K. N. Salama, “Pilot-Assisted Readout for Passive Memristor Crossbars”. Microelectronics Journal 54, pp. 48-58, 2016
  4. R. Naous, M. Al-Shedivat, E. Neftci, G. Cauwenberghs and K. N. Salama, “Synaptic vs. Neuronal Stochasticity in Memristor-based neural networks”. AIP Advances. Vol 6. Issue 11, 2016
  5. M.A. Zidan, H. Omran, R. Naous, A. Sultan, H.A. Fahmy, WD. Lu, K.N. Salama, “Single-Readout High-Density Memristor Crossbar." Nature, Scientific Reports 6, pp. 18863-18863, 2016
  6. R. Naous, M. Zidan, A. Sultan, and K. N. Salama, “Statistical Analysis of Memristor Crossbar Memories”. International Journal of Unconventional Computing. Vol. 12 Issue 4, p251-264, 2016
  7. R. Naous and K. N. Salama, “SPICE Model for Stochastic Electronics” IEEE Transactions on Circuits and Systems I (submitted)
  8. R. Naous, R. Li, H. Fariborzi, and K.N. Salama “Approximate Computing with Stochastic Transistors”. IEEE Transactions on Circuits and Systems I (submitted)
Conferences
  1. M.AR. Saghir and R. Naous. "A configurable multi-ported register file architecture for soft processor cores." In Proceedings of the International Workshop on Applied Reconfigurable Computing (ARC), pp 27—29, Mangaratiba, Brazil, March 2007.
  2. R. Naous, M. Zidan, A. Sultan, and K.N. Salama. "Memristor based crossbar memory array sneak path estimation." In Cellular Nanoscale Networks and their Applications (CNNA), 2014 14th International Workshop on, pp. 1-2. IEEE, Notre Dame, USA, August 2014
  3. M. Al-Shedivat, R. Naous, E. Neftci, G. Cauwenberghs, and K.N. Salama."Inherently stochastic spiking neurons for probabilistic neural computation." In Neural Engineering (NER), 2015 7th International IEEE/EMBS Conference on, pp. 356-359, Marseille, France, 2015
  4. A. Al-Halafi, L. Sboui, R. Naous, and B. Shehada, “gTBS: green Task-Based Sensing for energy efficient wireless sensor networks” IEEE conference on Computer Communications Workshop (INFOCOMM), San Francisco, USA, March 2016
  5. R. Naous, M. Zidan, A. Sultan, and K.N. Salama. " Channel Equalization Techniques for Non-volatile Memristor Memories" In 10th Annual Conference on Information Sciences and Systems (CISS),pp. 111-116, New Jersey, USA, March 2016
  6. R. Naous, M. Al-Shedivat, E. Neftci, G. Cauwenberghs, and K.N. Salama." Stochastic Synaptic Plasticity with Memristor Crossbar Arrays." in IEEE International Symposium on Circuits and Systems (ISCAS), Montreal, Canada, May 2016
  7. R. Naous, and K.N. Salama “Approximate Computing with Stochastic Memristors” in The 15th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA), Dresden, Germany, August 2016
  8. R. Naous, and K.N. Salama “Utilization of Memristor Variability Towards Brain-Inspired Resilient Computing” in The 2nd International Workshop on Resiliency in Embedded Electronic Systems (REES), Lausanne, Switzerland, March 2017 (accepted)
  9. R. Naous, and K.N. Salama “Processing with Memristors for Stochastic and Approximate Computing” in The International Conference on Memristive Materials, Devices & Systems (MEMRISYS 2017), Athens, Greece, April 2017 (accepted)
  10. H. Alahmadi, R. Naous, and K.N. Salama “Memristive Probabilistic Arithmetic Unit” in The International Conference on Memristive Materials, Devices & Systems (MEMRISYS 2017), Athens, Greece, April 2017 (accepted)
Presentations and Posters
  1. R. Naous, M. Zidan, A. Sultan, and KN Salama “Statistical Analysis of Memristor Crossbar Memories” MemTDAC- CSW International Week of Unconventional Computing, Athens, Oct. 2014
  2. R. Naous, and K.N. Salama “Memristor Potential: Memory and Neuromorphic Applications” Electrical Engineering Seminar, King Abdullah University of Science and Technology (KAUST), March 2015
  3. R. Naous, M. Al-Shedivat, G. Cauwenberghs and K.N Salama, “Learning via Stochastic Memristive Neurons” Memristor Technology, Design, Automation and Computing Workshop (MemTDAC), HiPEAC, Prague, Czech Republic, Jan 2016
  4. R. Naous, M. Al-Shedivat, and K.N. Salama, “Switching Dynamics of Stochastic Memristors” Memristor Technology, Design, Automation and Computing Workshop (MemTDAC), HiPEAC, Prague, Czech Republic, Jan 2016
  5. R. Naous, and K.N. Salama “Neuro-Inspired Computing with Stochastic Electronics” Electrical Engineering Seminar, King Abdullah University of Science and Technology (KAUST), Feb. 2016
  6. R. Naous, M. Al-Shedivat, E. Neftci, G. Cauwenberghs, and K.N. Salama “Energy Efficient Neuro-Inspired Computing With Stochastic Electronics” KAUST-NSF Research Conference on Electronic Materials, Devices and Systems, March 2016
  7. R. Naous, M. Al-Shedivat, E. Neftci, G. Cauwenberghs and K. N. Salama, “Memristive Neural Networks: Synaptic vs. Neuronal Stochasticity”. European Material Research Society, Spring Meeting, Lille, France, May 2016.
  8. R. Naous, H. AlAhmadi, and K.N. Salama, “Memristive Approximate Adders: Design, Analysis and Evaluation” Memristor Technology, Design, Automation and Computing Workshop (mDAC), HiPEAC, Stockholm, Sweden, Jan 2017

Untitled Post

posted May 5, 2017, 10:52 PM by Khaled salama

Flash_nature.mp4


International Masters students join our lab for summer internship

posted May 1, 2017, 8:45 AM by Khaled salama   [ updated May 4, 2017, 1:23 AM ]

Our lab will be buzzing with great students this summer from Brasil, Kazakhstan, and Vietnam. We will have our own mini UN this year. 

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 in 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.  Her work at KAUST is in collaboration with Prof. Alex James, head of electrical engineering department at Nazarbayev University, Kazakhstan.

 
José Batista de Sales Filho is a masters student at the Federal University of Rio Grande do Norte - UFRN, Brazil focusing on  Integrated conditioning circuit for multiphase flow investigation using wire-mesh sensor. He received his undergraduate degree from the same institution with a concentration in microelectronics and instrumention. He was an interchange student - M.Sc. Nanoelectronic Systems, TU Dresden, Germany. His work at KAUST is in collaboration with Prof. Sebastian Yuri Catunda and Prof. Diomadson Rodrigues Belfort at the Department of Computer Engineering and Automation, Federal University of Rio Grande do Norte - UFRN, Brazil 

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. Her work at KAUST is in collaboration with Prof. Alex James, head of electrical engineering department at Nazarbayev University, Kazakhstan.

Nguyen Quang Thang is a masters student at HoChiMinh University of Technology, Vietnam focusing on RF energy harvesting circuits and systems. He received his undergraduate degree from the same institution in electrical engineering. He was an intern at SAVARTI Analog & Mixed Signals IC Design Co., LTD working with the CAD tool team.  His work at KAUST is in collaboration with Prof. HUYNH PHU MINH CUONG, head of Telecommunications Engineering Department at HoChiMinh University of Technology, Vietnam

World’s first underwater robotic avatar

posted Apr 25, 2017, 8:12 AM by Khaled salama   [ updated Apr 25, 2017, 10:31 AM ]


KAUST discovery highlights our project to develop the first underwater robotic avatar. It was no small feat to design an underwater robot that can do more than human divers or remotely operated vehicles. More details at [paper] [KAUST Discovery] [Ocean One
Oussama Khatib, Xiyang Yeh, Gerald Brantner, Brian Soe, Boyeon Kim, Shameek Ganguly, Hannah Stuart, Shiquan Wang, Mark Cutkosky, Aaron Edsinger, Phillip Mullins, Mitchell Barham, Christian R. Voolstra, Khaled Nabil Salama, Michel L’ Hour, Vincent Creuze "Ocean One: A Robotic Avatar for Oceanic Discovery." IEEE Robotics & Automation Magazine (2016). DOI: 10.1109/MRA.2016.2613281



Eric Fossum, inventor of CMOS image sensors visits KAUST

posted Apr 20, 2017, 3:41 PM by Khaled salama   [ updated Apr 20, 2017, 4:04 PM ]

In this KAUST Live interview Eric Fossum, inventor of the CMOS image sensor, brings his expertise to KAUST for Enrichment in the Spring 2017 
#SEP2017. Fossum talked about how CMOS was developed and the Quanta Image Sensor (QIS), which is set to be the next big thing. Hosted by Michelle Ponto.






Eric Fossum @SEP2017


Harry Potter's cloak around the corner

posted Apr 19, 2017, 12:19 AM by Khaled salama   [ updated Apr 22, 2017, 8:05 PM ]

A collaborative work with Prof. Hakan Bagic have been accepted at Physics Review B ("the largest and most comprehensive international journal specializing in condensed matter and materials physics and is ranked number one in total citations in condensed matter physics.").  In this work we show that plasmonic-like elastic materials can be engineered with potential applications in various areas including earthquake sensing or elastic imaging and cloaking.  The work can be found at:
M. Farhat, P. Y. Chen, S. Guenneau, K. N. Salama, and H. Bagci, “Localized Surface Platonic Modes via Flexural Mie Resonances,” Physics Review B, 2017, accepted [web][ Arxiv] 
 
This builds on our earlier work, where A new cloaking mechanism, which makes enclosed objects invisible to diffusive photon density waves, has been developed in a multi-university collaboration where a photon flow outside the cloak behaves as if the cloaked object were not present. More details at:
M. Farhat, P. Y. Chen, S. Guenneau, H. Bagci, K. N. Salama, and A. Alu, “Theory of Diffusive Light Scattering Cancellation Cloaking,” Proceedings of the Royal Society A, Vol. 472,  20160276 (2016) [web]; this paper was on [press coverage].

[Postdoc opening] neuromorphic computational circuits

posted Apr 14, 2017, 12:18 AM by Khaled salama

A Postdoctoral Fellow is sought with experience in the general area of neuromorphic computational systems. The ideal candidate will have experience in neural computing and biologically inspired computations. The successful applicant must have completed a Ph.D. in Electrical Engineering, computer Engineering, Computer Science, Physics or a related discipline, demonstrating proven capacity for world-class research that is reflected in his/her publication record. In particular, good technical writing skills are fundamental. The successful applicant will be involved in conducting research, mentoring graduate students, and active in reporting research results, including journal publications and conference presentations. Furthermore, the successful applicant may be expected to help Graduate Research Assistants. A generous compensation package will be offered, including a competitive, tax-free salary, health care (medical and dental), housing and 15 days of paid annual vacation (in addition to 15 days of national holiday). The appointment is for one year and will be renewed for up to three years, based on performance.

Experience in the following areas is desirable:

1.     Neuromorphic Circuits

2.     Biologically Inspired Computations

3.     Neural Computing

 

Application material:

1.     Complete, professional CVs, including educational backgrounds, experience and lists of publications.

2.     Names, affiliations, telephone numbers and email addresses of two individuals, who will provide letters of reference, if requested.

3.     Brief descriptions of past research experience and future research interests (no more than two pages).

 

Lab Webpage: sensors.kaust.edu.sa

Contact: khaled.salama@kaust.edu.sa

 

About KAUST:
King Abdullah University of Science and Technology (KAUST) is actively recruiting world-class students, faculty and researchers who are committed to meeting the grand challenges of science through bold and collaborative inquiry that focuses on issues of regional and global significance. The diverse and international faculty, staff and student body create a unique multicultural experience, while the beautiful and quiet residential campus favors dedicated research and study. Located on the shores of the Red Sea in Saudi Arabia, KAUST offers superb research facilities, attracting top international faculty, scientists, engineers and students to conduct fundamental and goal-oriented research to address the world’s pressing scientific and technological challenges. In the Nature Index Rising Stars, KAUST was ranked #19 in the world of the fastest rising universities for high quality research output. KAUST was also ranked as the world’s top university (#1) in citations per faculty ranking indicator as per QS World University Rankings for 2015-2016 and 2016-2017. In addition, KAUST was ranked #1 in the percentage of international student and #1 in the percentage of international faculty. More information at  www.kaust.edu.sa

 

[Graduate Student Scholarship] Circuits and Systems

posted Apr 14, 2017, 12:17 AM by Khaled salama   [ updated Apr 14, 2017, 12:18 AM ]

There are 3 MS/PhD and/or PhD opportunities for senior undergraduates and masters students at the sensors lab at King Abdullah University of Science and Technology (KAUST). We are seeking students from all over the world who bring new perspective, different educational systems, new methods and new ideas to enrich our diverse student body. KAUST has students from over 80 countries coming from 200+ different institutions worldwide. Currently our lab has students from Saudi Arabia, Tunisia, Kazakhstan, Turkmenistan, and Lebanon. Our lab alumni came from Greece, Russia, India, Egypt, Bangladesh, China, Pakistan, Mexico and Brazil. They ended up pursing opportunities at: USC, CMU, JHU, UMICH, UC-Berkeley and at companies like Mckinsey, ARAMCO, …. Students receive full tuition scholarship, enjoy free shared accommodation on campus, round trip tickets from their home country, generous tax free monthly stipend, free health (medical and dental) insurance and full access to all of the research, academic and social facilities at KAUST. 

 

Areas of interest:

1.     Brain-inspired computing

2.     Future computing systems

3.     Biosensors and bioelectronics

4.     Sensor interface Circuits

Requirements:

1.     Students should have EE, physics, materials or CS background.

2.     Excellent GPA (3.5 or above)

3.     Strong circuits, microelectronics, VLSI knowledge

4.     Past research experience is a plus.

5.     Knowledge of scripting languages (Paython), VHDL and 3D max is a plus. 

 

Application material: CV, transcripts and names of two references

Lab Webpage: sensors.kaust.edu.sa

Scholarship: https://www.kaust.edu.sa/en/study

Start Date: Spring 2018 with deadline August 2017 and/or Fall 2018 with deadline January 2018

Contact: khaled.salama@kaust.edu.sa

 

About KAUST:
King Abdullah University of Science and Technology (KAUST) is actively recruiting world-class students, faculty and researchers who are committed to meeting the grand challenges of science through bold and collaborative inquiry that focuses on issues of regional and global significance. The diverse and international faculty, staff and student body create a unique multicultural experience, while the beautiful and quiet residential campus favors dedicated research and study. Located on the shores of the Red Sea in Saudi Arabia, KAUST offers superb research facilities, attracting top international faculty, scientists, engineers and students. In the Nature Index Rising Stars, KAUST was ranked #19 in the world of the fastest rising universities for high quality research output. KAUST was also ranked as the world’s top university (#1) in citations per faculty ranking indicator as per QS World University Rankings for 2015-2016 and 2016-2017. In addition, KAUST was ranked #1 in the percentage of international student and #1 in the percentage of international faculty. More information at  (www.
kaust.edu.sa)

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