The increasing maturity, performance and miniaturization of sensors, interfaces, processors, networking technologies, memory and displays is enabling
a move towards pervasive computing, ubiquitous connectivity and more adaptable interfaces that are sensitive and responsive.
Many objects and devices already have embedded processors and sensors. Increasingly then, connections are not just people-people or people-computers, but between people-things and most strikingly, things-things. This changes the web from being a purely virtual, online space to a system that can provide appropriate information, help and services in the real world. If properly harnessed this information will make us better informed and enable smarter decisions by both people and machines.
In this frame the range of applications is wide: from physics particle detection, industrial process control, automotive systems, space aircrafts, energy management to more recently biomedicine, and Brain Machine Interface. Although significant advances have been reported, many problems are still to be solved: system level design, design procedures, fabrication techniques and data handling and computing are open for research, while industrial interest is aiming at satisfying technological, cost and manufacturing requirements.
The IEEE International Workshop on Advances in Sensors and Interfaces intends to provide a forum for exchange of experience among experts actively involved in research, development and evaluation of new concepts, theoretical methods and experimental characterization as well as in testing techniques concerning micro- and nano-sensor systems.
Papers are solicited in the following and related topics:
The accepted submissions will be included in the IEEE proceedings. A selection of papers will be invited to be re-submitted for a special issue of the IEEE Sensors Journal.
Session 1: CMOS smart sensors and sensor interfaces
Chair: Kofi Makinwa - Delft University of Technology-The Netherlands
Invited Speaker: R. van Veldhoven (NXP Semiconductors, Eindhoven) - Automotive Sensors: Challenges and Solutions
Session 2: CMOS solutions for bio-interface
Chair: Sandro Carrara - EPFL Lausanne-Switzerland
Invited Speaker: A. Poon (Stanford University) - Emerging wireless applications in biomedicine
Session 3: Innovative radiation detectors for particle and nuclear physics
Chair: Eugenio Nappi - INFN Bari-Italy
Invited Speaker: A. Di Ciaccio (Università Roma Tor Vergata and INFN Italy) - The Higgs Boson discovery and the role of detector technology
Session 4: Sensors and sensor interfaces based on organic and large area electronics
Chair: Eugenio Cantatore - Eindhoven Univ. of Technology-The Netherlands
Invited Speaker: H. Fuketa (University of Tokio) - Large-Area and Flexible Sensors with Organic Transistors
Session 5: Advanced power management for sensor clouds
Chair: Luca Benini/Michele Magno - Università di Bologna-Italy
Invited Speaker: E. Popovici (University College Cork) - Power Management Techniques for Wireless Sensor Networks: A Review
Session 6: Swarm of sensors and internet of things
Chair: Eugenio Di Sciascio/Michele Ruta - Politecnico di Bari-Italy
Invited Speaker: D. Ranasinghe (University of Adelaide) - Research and challenges around automated activity recognition and monitoring using wireless sensor technologies
Session 7: Ambient Assisted Living and Smart Health
Chair: Pietro Siciliano - IMM-CNR Lecce-Italy, Daniela De Venuto - Politecnico di Bari-Italy
Invited Speaker: C. Van Hoof (IMEC, Belgium) - Addressing the healthcare cost dilemma by managing health instead of managing illness - An opportunity for wireless wearable sensors
Session 8: Sensors in industrial applications and testing
Chair: Linda S. Milor - Georgia Institute of Technology-USA
Invited Speaker: Georges Gielen (Katholieke Universiteit Leuven) - Timing-based integrated sensor interfaces: hype or promise?
Download the IWASI 2013 Final Program
The brain is an amazingly complex and efficient machine. While it may not be considered
"general purpose" in terms of its computational capabilities, it performs a set of functions such
as feature extraction, classification, synthesis, recognition, learning, and higher-order decision-making amazingly well.
Unfortunately the dynamic behavior of the brain at large is still marginally understood. One of the major charters in the neuroscience community for the next decade is to create a dynamic map of the brain (as articulated by the Obama administration in the US). Doing so will require the most advanced imaging capabilities operating at the scale of 10's of microns. Recent advances in microscopic sensing, processing and communications are leading to brain-machine interfaces that may be able to observe thousands if not millions of active neurons in vivo. These nanomorphic systems represent the frontier in miniaturization and integration of electronic information processing systems.
This whole effort may in turn have some interesting repercussions on how information-processing systems themselves are conceived in the nanoscale regime. Neuro-inspired processing presents an attractive alternative to the classical Von-Neumann computing paradigm in deeply scaled regimes: it thrives on randomness and variability, processing is performed in the continuous or discrete domains, and massive parallelism, major redundancy and adaptivity are of essence. Computational paradigms inspired by neural information processing hence may lead to energy-efficient, low-cost, dense and/or reliable implementations of the functions the brain excels at.
In this presentation, we will explore both sides of this neuroscience-information technology interaction. One thing is for sure - the joint future will be exciting.
Jan Rabaey holds the Donald O. Pederson
Distinguished Professorship at the Electrical
Engineering and Computer Sciences Department of
the University of California at Berkeley. After receiving
his Ph.D degree in applied sciences from the
Katholieke Universiteit Leuven, Belgium, for his work
on the design of Switched Capacitor Circuits, he joined
UC Berkeley in 1983 as a Visiting Research Engineer.
From 1985 until 1987, he was a research manager at
IMEC, Belgium. Professor Rabaey has created and/or
directed a number of high-impact research centers,
including the Berkeley Wireless Research Center
(BWRC), the FCRP multi-university Gigascale
Systems (GSRC) and MultiScale Systems (MuSyC)
Research Centers, and most recently the Berkeley
Ubiquitous Swarm Lab.
He is the recipient of a wide range of awards, amongst which the IEEE CAS Society Mac Van Valkenburg Award, the European Design Automation Association (EDAA) Lifetime Achievement award, and the Semiconductor Industry Association (SIA) University Researcher Award. He is an IEEE Fellow and a member of the Royal Flemish Academy of Sciences and Arts of Belgium. In 2012, he received an honorary doctorate from the University of Lund, Sweden. He has been on the advisory board of a broad range of semiconductor, design technology and wireless companies.
His current research interests include the conception and implementation of next-generation integrated wireless systems, as well as exploring the interaction between the cyber and the biological world.
Smart sensors are widely adopted in the context of building and district monitoring. In public buildings and spaces,
the integration of various sensor technologies and communication protocols is often required to cope with heterogeneous
sensing systems and to enable the interoperability of existing building management systems (BMS) with wireless networks
of environmental sensors to increase pervasiveness and accuracy of energy management policies. In order to make this possible,
suitable interfaces are needed at various abstraction levels.
In this talk, we describe a service-oriented infrastructure for monitoring and managing energy consumption in public buildings and spaces. The main focus concerns the software layers enabling the interoperability between heterogeneous wireless sensor nodes aimed at monitoring the energy consumption, controlling environmental parameters such as luminance and temperature to take advantage of natural resources (i.e., daylight and solar energy) and relative humidity to ensure the best possible comfort conditions with the most efficient use of energy.
We will present a case study, in which the proposed monitoring and control infrastructure has been deployed, in three different environments: i) A new building; ii) An existing building; iii) An historical building. We will describe the different requirements for each kind of building, and we will discuss how the wireless sensor network monitoring infrastructure can be exploited to develop energy control policies. Finally, we will present the results of parameter monitoring and control, with specific reference to energy budgeting and savings.
Enrico Macii was born in Torino, Italy, on February 7, 1966. He is a Full Professor of Computer
Engineering at Politecnico di Torino. Prior to that, he was an Associate Professor (from 1998 to 2001)
and an Assistant Professor (from 1993 to 1998) at the same institution. From 1991 to 1997 he was also an
Adjunct Faculty at the University of Colorado at Boulder. He holds a Laurea Degree in Electrical
Engineering from Politecnico di Torino (1990), a Laurea Degree in Computer Science from Università di
Torino (1991) and a PhD degree in Computer Engineering from Politecnico di Torino (1995). Since 2007,
he is the Vice Rector for Research and Technology Transfer at Politecnico di Torino, and since 2012 also
the Rector's Delegate for International Affairs.
His research interests are in the design of electronic digital circuits and systems, with particular emphasis on low-power consumption aspects. In the field above he has authored around 400 scientific publications, including book: "Ultra Low-Power Electronics and Design", published by Kluwer in 2004. He received the Best Paper Award for articles presented at IEEE EURODAC-96 and at ACM/IEEE GLS-VLSI-08. In the last few years, he has extended his research activities to the broad area of bioinformatics, providing algorithmic contributions to new image processing techniques and various types of data analyses for different applications in the biomedical domain.
He was the Editor-in-Chief of the IEEE Transactions on CAD/ICAS for the term 2006-2009. Prior to that, he was an Associate Editor for the same journal (1997-2005) and an Associate Editor for the ACM Transactions on Design Automation of Electronic Systems (2000-2005). Currently, he is an Associate Editor for the IEEE Transactions on Computers.
He is the National FP7 ICT Delegate and one of the Italian Members of the Public Authorities Board of the ENIAC and ARTEMIS Joint Undertakings. He was an Evaluator of proposals on behalf of the European Commission in the context of the last three Framework Programs (i.e., FP5, FP6 and FP7).
Enrico Macii is a Fellow of the IEEE. He was a Member of the Board of Governors of the IEEE Circuits and Systems Society for two consecutive terms (2002-2004 and 2005-2007), a Member of the Board of Governors of the IEEE Council on EDA for the period 2006-2009 and the Vice President for Publications of the IEEE Circuits and Systems Society for two consecutive terms (2009-2010 and 2011-2012).
Materializing the vision and the huge business opportunities offered by the Internet-of-Things requires a paradigm shift in sensor data processing, fusing, understanding. Centralized approaches (sensors at the edges, with centralized intelligence in the cloud) are not scalable, hierarchical, distributed processing is a strong requirement. In this talk I will describe recent trends in the development of new computing platforms geared to distributed sensor data management, discuss design challenges and research opportunities.
Luca Benini is Full Professor at the University of Bologna. He also
holds the chair of digital Circuits and systems at ETHZ and he is
currently serving as Chief Architect for the Platform 2012 project in
STmicroelectronics, Grenoble. He received a Ph.D. degree in
electrical engineering from Stanford University in 1997. Dr. Benini's
research interests are in energy-efficient system design and
Multi-Core SoC design.
He is also active in the area of energy-efficient smart sensors and sensor networks for biomedical and ambient intelligence applications. He is a Fellow of the IEEE and a member of the Academia Europaea and has served for two terms as a member of the steering board of the ARTEMISIA European Association on Advanced Research & Technology for Embedded Intelligence and Systems.
One of the innovations driving the IC industry is the electrification of the car, a long-term trend that has gathered pace in the last decade.
Electrification requires measurement and control, for which sensors are required. Well known innovations in the area of comfort, safety and efficiency
are power steering, ABS and motor management respectively. These require high performance angular and speed sensors.
At the moment, the transition from internal combustion engines to electric motors means that more sensors will be required for battery and power train management.
In the (near) future, car radar will enable assisted and eventually autonomous driving. And these are only a few examples of the applications of automotive sensors.
Most automotive sensors must meet stringent reliability requirements while being exposed to the harsh automotive environment, which is inherently dirty and spans a large temperature range: -40°C to 200°C. At the same time, these sensors are under continuous cost pressure, which makes the design of the transducers and their interface circuitry extremely challenging. NXP is very active in the automotive sensor business and is a leader in some segments of the market. This presentation will describe the impact of automotive requirements on sensor design and highlight some of NXP's answers to these challenges.
Robert van Veldhoven was born in Eindhoven, The Netherlands, in 1972. He holds a PhD degree in Electrical Engineering
from the University of Eindhoven. In 1996 he joined Philips Research, where he has worked on sigma delta converters
for high precision instrumentation and highly digitized transceivers for mobile applications.
In 2006 he joined NXP where his technical expertise is now used to lead various sensor-system developments.
Van Veldhoven holds over 20 US patents and published various papers at leading conferences and in leading journals, and is reviewer for several professional journals and conferences. In 2004 and 2010, he was invited to give an ISSCC forum presentation on ΣΔ modulators for wireless and cellular receivers.
Dr. Emanuel Popovici (SM-IEEE, M-ACM) is a College Lecturer (EEE) at
UCC since 2002. He is the director of the Embedded Systems Group
and between 2007-2011 he acted as a Deputy Director of the SFI
Strategic Research Cluster: Efficient Embedded DSP for Mobile
Digital Health (EEDSP). Emanuel is also a founding academic member
of the Claude Shannon Institute. He received a Dipl. Ing. degree in
Computer Engineering from the University Politehnica Timisoara in
1997 and a PhD in Microelectronics from UCC in 2002 respectively.
His research interests include ultra low power embedded systems design, reliable and secure computing and communications systems and their applications. He has published more than 130 papers, filed 3 patents and co-authored 11 papers distinguished by the IEEE, IET, MIDAS Ireland, and IARIA. His research is sponsored by Science Foundation Ireland(Average Case Optimisation), Enterprise Ireland (iBAN-Med: Intelligent Body Area Networks for Medical Applications), FP7 (STREP: Genesi: Green Sensors for Structural Health Monitoring and FET-Open: iRISC Innovative Reliable Chip Designs from Low-Powered Unreliable Components), IDA/Synopsys(EDA for low power SoC), Irish Research Council(Security for WSN, Home Automation), NSF(List Decoding), Invest-NI(Error Control Coding).
On 4 July 2012 the ATLAS and CMS collaboration at LHC announced the
observation of a new
particle, consistent with the long-sought Higgs boson. The
significance of its observation stands
now close to the 7 sigma level, well beyond the 5 required for a
discovery and the measurement of
the new particle's properties appear to be consistent with those of a
Standard Model Higgs boson.
This discovery marks the definitive triumph of the Standard Model of particle physics and represents a milestone in our understanding of the Universe. Behind this important achievement there is the hard work of the experimentalists, who have dedicated more than 20 years of their lives to the R&D work necessary to the conception and realization of huge and sophisticated apparatus of unprecedented sensitivities capable to stand the harsh running conditions at the LHC. The crucial role played by the different detectors techniques will be revised.
Anna Di Ciaccio is full professor in physics at the University of Roma Tor Vergata. She has been
involved in research in experimental particle physics since 1980. From
1981 till 1983 she was
research associate at the Brookhaven National Laboratory, USA. From
1984 and 1985 she was at the
Physics Department of the Harvard University in Cambridge (USA) and
later in the Oak-Ridge
American Laboratory to set-up a Montecarlo program to simulate the
hadron particle interactions
(in particular neutrons) with matter with the aim of optimizing the
resolution of an Uranium/TMP
calorimeter for the UA1 experiment at CERN. From 1987 till the end of
1988 she was fellow at the
CERN Laboratory in Geneva. In 1994 she won an "Alexander von Humboldt"
fellowship for a research
program at the "Albert Ludwig" University of Freiburg in Germany.
She has participated in several experiments on accelerators at CERN to
collisions at 63 GeV (experiment R807 at the ISR), proton-antiproton
collisions at 540 and 630
GeV (UA1 at the ppbar Collider) and pion-nucleon interactions at 26
GeV in the center of mass
(WA92 at the SPS proto-sincrotron) to search for beauty particles.
Since 1989 she has been working on the Large Hadron Collider (LHC), contributing first to the working groups promoted by ECFA, the European Committee for Future Accelerators, and then to a specific LHC program of Research and Development, RD5, to study the problematic of the muon detection. She contributed to the evolution of the Resistive Plate Chamber technique (RPC) for the application to the LHC experiments and later on to the construction of the ATLAS barrel RPC trigger system. Since 1992 she is a member of the ATLAS international Collaboration and is the group leader of the research group at the University of Roma Tor Vergata.
In the last two years she has contributed to the R&D work for the SuperB experiment, with the project of a radiation monitor detector based on CVD diamonds. She is teaching to undergraduate and graduate physics students courses related to the Experimental Technique in Nuclear and Subnuclear Physics and Advanced Particle Physics. She is author of more than 350 publications with referee for a corresponding Hirsch factor (ISI of WEB) of 43 and more than 6300 citations.
In recent years, we have become fascinated by the idea of tiny surgical robots that can be introduced into a blood vessel, travel through the patient's body, exchange information with an external controller for detailed diagnosis, and perform local interventions. They might even be permanently resident in the body for continuous monitoring. Such robots exist only in the realm of science fiction today. Their realization faces major obstacles, including power sources, and the control and monitoring of these untethered robots. In this talk, we will address these obstacles through fundamental understanding of wireless power transfer and communication schemes, as well as devising new sensing and propulsion functionalities to these robots.
Ada was born in Hong Kong. She received her B.Eng degree from the EEE department at the University of Hong Kong and her Ph.D.
degree from the EECS department at the University of California at Berkeley in 2004. Her dissertation attempted to connect
information theory with electromagnetic theory so as to better understand the fundamental limit of wireless channels.
Upon graduation, she spent one year at Intel as a senior research scientist building reconfigurable baseband processors
for flexible radios.
Afterwards, she joined her advisor's startup company, SiBeam Inc., architecting Gigabit wireless transceivers leveraging 60 GHz CMOS and MIMO antenna systems. After two years in industries, she returned to academic and joined the faculty of the ECE department at the University of Illinois, Urbana-Champaign. Since then, she has changed her research direction from wireless communication to biomedical systems. In 2008, she moved back to California and joined the faculty of the Department of Electrical Engineering at Stanford University. She is a Terman Fellow at Stanford University.
A rapidly growing aging population presents many challenges to health and aged
care services around the world. Recognising and understanding the activities
performed by elderly is an important research area that has the potential address
these challenges and healthcare needs of the 21st century by enabling to a wide
range of valuable applications such as remote health monitoring. This talk will focus
on research and challenges around automated activity recognition and monitoring
using wireless sensor technologies.
Finally I will present our work towards building a framework for mitigating high risk of falls in nursing homes and acute care hospitals using wearable, low-cost, unobtrusive, passive, and sensor enabled radio-frequency identification (RFID) devices.
Damith Ranasinghe heads the Auto-ID Lab Adelaide at the University of Adelaide,
Australia and directs research of the laboratory. He received a BE in Information
Technology and Telecommunication Engineering from The University of Adelaide
with first class honours, in 2002. Since graduation he has worked in Auto-ID Labs
at MIT, the University of Cambridge and in The University of Adelaide, where
he completed his PhD degree in Electrical and Electronic Engineering in 2007.
Dr. Ranasinghe has published over 90 works as books, refereed book chapters, refereed journal and conference papers. His current research interests are focused in the areas of pervasive computing, human activity recognition, in particular, the areas of lightweight cryptography for low cost RFID systems, wearable RFID sensors and RFID data management.
Organic electronics have been drawing attentions for large-area and flexible electronics applications, because organic transistors can be fabricated with printable/printed technology on arbitrary substrates, which enables low-cost production per area and high mechanical flexibility. Since large area and flexibility are extremely important for human interfaces, sensors for human interface applications are one of promising candidates for organic electronics. In this talk, I will review recent progresses of large-area and flexible sensors with organic transistors, such as sheet-type image scanner and surface EMG measurement sheet.
Hiroshi Fuketa received the B.E. degree from Kyoto University, Kyoto, Japan, in 2002 and the M.E. and Ph.D. degrees in information systems engineering from Osaka University, Osaka, Japan, in 2008 and 2010, respectively. He is currently a Research Associate with Institute of Industrial Science, the University of Tokyo. His research interests include ultra-low-power circuit design and large area electronics with organic transistors.
The scaling of VLSI technology results in reduced supply voltages, hence jeopardizing the voltage swing
and signal-to-noise ratio achievable by analog integrated circuits. An alternative is to take advantage
of the increased speed resolution of faster CMOS technologies, and to replace traditional voltage-mode
processing by time-based circuits.
This presentation will explore the potential and fundamental limitations in time-based versus voltage-based analog integrated circuits for application in sensor interfaces.
The cost of healthcare is increasing worldwide. Without disruptive changes, a large part of the population
in many developed countries will no longer be able to afford healthcare by 2040. Part of the solution will
come from focusing on prevention. Having personal tools at everyone's disposal, which will help people to
monitor their health and to change their behavior, can enable disease prevention.
Managing weight and managing stress are two societal challenges where a behavioral change can have huge cost savings. In this paper, it is shown how wearable sensor devices are able to detect energy expenditure as well as monitor stress levels.
System aspects and validation are discussed. Because convenience and user acceptance are key for making these tools a success, smaller form factors and more convenient sensor locations on the body are required.
|Registration by May, 20||€ 400.00|
|Registration after May, 20||€ 450.00|
|Ph.D. Students||€ 300.00|
Each accepted paper REQUIRES at least one registration, before the camera-ready manuscript can be included in the proceedings.
The Registration fee includes: attendance at all scientific sessions, conference kit, coffee breaks, lunches and dinner, certificate of attendance and a copy of the proceedings book.
IWASI 2013 will take place at Hotel Villa Romanazzi Carducci in Bari.
|Hotel Villa Romanazzi Carducci||-|
|Palace Hotel||1.6 km|
|Sheraton Nicolaus Hotel||2.5 km|
|Hotel Victor Bari||1.1 km|
|Hotel Excelsior Bari||850 m|
|Hotel Adria Bari||1.4 km|
|Hotel Moderno||750 m|
|Campus Hotel||2.1 km|
|B&B La Casa nel Sole||-||300 m|
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Politecnico di Bari
Comune di Bari
Provincia di Bari
Comune di Trani
Fondazione Cassa di Risparmio di Puglia
Istituto Nazionale di Fisica Nucleare
Sezione di Bari
Fondazione Cassa di Risparmio di Puglia
By plane. Connections to the airport of Bari-Palese (10 km of the city center).
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