News & Events
ADSA16 Presentations Now Available June 20, 2017
We are pleased to announce that the presentations from The Sixteenth Advanced Development for Security Applications Workshop (ADSA16) which was held on May 2-3, 2017 at Northeastern University in Boston, MA are now available for download.
The title of the workshop was, “Addressing the Requirement for Different Stakeholders in Transportation Security.” View all slides, as well as the reports from past ADSA workshops here.
If you have any questions regarding the topics and technologies discussed at the workshop, please contact ALERT at email@example.com.
ALERT Launches Video Analytics Lab at Kostas Research Institute May 30, 2017
A Better Testing Facility for Solving Real World Problems
Northeastern University’s George J. Kostas Research Institute for Homeland Security is now home to ALERT’s new Video Analytics Laboratory. Providing secure access, 1225 sq. feet of open space, controlled lighting conditions, and a fully networked and flexible camera grid, ALERT can better investigate and develop video and sensor technologies to address the needs of the Homeland Security Enterprise.
Using Video Technologies to Improve Passenger Experience
The first research project to leverage the lab is entitled Research and Development of Systems for Tracking Passengers and Divested Items at the Checkpoint. Funded by the Department of Homeland Security, this project is known by the acronym CLASP (Correlating Luggage and Specific Passengers) and leverages the technical expertise of ALERT research teams from Boston University, Marquette University, Northeastern University, Purdue University, and Rensselaer Polytechnic Institute. These teams will work towards developing an automated system capable of tracking passengers and divested items at airport security checkpoints.
CLASP will primarily focus on using video technologies to assist the Transportation Security Administration (TSA) in effectively identifying security incidents like theft of items, or bags left behind at the checkpoint. By automating and improving the technologies associated with these objectives, ALERT hopes to improve rates of detection and at the same time improve the passenger experience.
CLASP was the result of DHS’s interest in initial work done by ALERT Project Investigator Richard Radke’s lab. A video of their work can be seen below:
(Z. Wu and R.J. Radke, Real-Time Airport Security Checkpoint Surveillance Using a Camera Network. Workshop on Camera Networks and Wide Area Scene Analysis, in conjunction with CVPR 2011, June 2011.).
Government & Industry Partners Make the Difference
In order to deliver the system outlined in CLASP, the researchers working on the project require access to video data displaying real-world checkpoint security situations. Actual airport security video is generally restricted, so ALERT partnered with Massport, the Transportation Security Administration at Boston Logan International Airport, and industrial partners such as Rapiscan Systems to create an accurate representation of an airport security checkpoint in the ALERT Video Analytics Laboratory. This full-scale, mock airport security checkpoint uses the same hardware and design specifications currently used by the TSA at airports such as Logan, and gives ALERT a space to generate usable video data for this project and hopefully to the video analytics research community as a whole.
CLASP is just the beginning of work that can be done in this new laboratory and ALERT is hoping to leverage it for additional homeland security-related projects going forward. If you are interested in partnering with ALERT on future projects, please connect with us via email at firstname.lastname@example.org.
Industry Spotlight: Q&A with Dr. Mark Witinski of Pendar Technologies May 30, 2017
ALERT recently caught up with Dr. Mark Witinski, Vice President of Chemical Analysis & Security Group, at Pendar Technologies. Dr. Witinski served as co-founder and President of Eos Photonics prior to the merger which formed Pendar Technologies. At Pendar Technologies, he focuses primarily on applications development, business to business strategic partnerships, and government sales.
1) Can you describe the work Pendar Technologies does and how it contributes to the Homeland Security Enterprise?
Pendar’s work in furthering the Homeland Security Enterprise takes a few forms. The most critical one – the one that is the focus of our first product – is giving security and military personnel the tools to analyze unknown chemicals in the field and without physical contact. This is generally referred to as “Standoff Detection.”
2) Pendar Technologies is one of ALERT’s industrial members. How has collaboration with ALERT been beneficial to Pendar Technologies?
For Pendar, there are two major benefits to our longstanding ALERT membership. One is direct interaction with thought leaders in the Homeland Security space, where we learn first-hand about the contemporary challenges and frontiers in various security settings. The other major benefit has been formal and informal collaborations with other members of the ALERT community that serve to address those challenges. For instance, Pendar has pursued new sensing modalities with other industrial members and has also fostered collaborations with academic research groups from ALERT affiliated universities including: Northeastern University, Purdue University, Tufts University, The University of Rhode Island, and The University of Puerto Rico.
3) Can you describe some of the technology that has been developed or improved upon through the Pendar Technologies/ALERT partnership?
Sure. Pendar uses a unique laser technology called the Quantum Cascade Laser. Critical advancements in that technology were made through two years of partnership with ALERT and The John Adams Institute for Innovation (JAII). This work was especially important as it came during a very formative time in our company. Working with ALERT and JAII helped to reduce the market risk pursuing the technological path that we were on.
4) You completed your doctorate in Chemical Physics at Cornell University where your research focused on molecular beams and laser spectroscopy to examine the dynamics of molecular collisions. What inspired you to pursue this research area?
This is an interesting question—one I even ask myself sometimes. My graduate work, and my postdoc work for that matter, were both focused on gas phase chemistry. Specifically, I sought to examine the detailed aspects of individual molecular reactions to gain the understanding that underpins how, for instance, ground level pollutants form and how they are removed. The atmosphere is a reactor—a very large and hard to control reactor. As a health matter, dangers lie not only in exposure to chemicals that are directly emitted. Rather, substances and their levels are governed by a complex set of coupled reactions, reactions which I wanted to understand as fully as possible before even attempting to comment on a solution. In this process, I became exposed to many laser technologies, including the Quantum Cascade Laser.
5) Can you describe your current role at Pendar Technologies and how your technical background prepared you for this role?
What I try to do is to listen to leaders from the agencies that all of us rely on to enhance our security. Often, these conversations reveal that many agencies, as well as the Defense Departments of the world share similar needs, although they may not communicate directly with one another. If a security capability is both desired and is lacking in multiple user groups, it tells me that a new capability is truly needed for protection of the public and of military forces. I then work with other Pendar scientists and engineers to see if we can offer a solution.
6) What emerging technology or research in the chemical analysis and security domains are you most excited about?
One of the things about chemical analysis that is not immediately obvious is that, at the most fundamental of levels, we basically have the tools that we are going to have for the foreseeable future: Mass Spectrometry, Infrared Spectroscopy, Chromatography, Raman Spectroscopy, X-Ray Imaging, Ion Mobility Spectrometry, and the list goes on.
What advances the capabilities of these methods is how they are practiced and integrated in a way that leverages advances in other disciplines. For instance, modern systems are engaging high speed portable computing, ever improving camera systems, additive manufacturing technology, wireless communications, etc… It is through careful integration and mastery of the entire chemical/instrument/user system that disruptive advances occur. It seems clear that the necessity of end-to-end mastery in this space is causing security developers to collaborate more, and venues like ALERT are key in fostering needed collaborations.
Kurt Jaisle Selected as Finalist in IEEE AP-S Student Paper Competition May 30, 2017
ALERT Student and Northeastern University Scholar, Kurt Jaisle has been selected as a finalist in the 2017 IEEE Antennas and Propagation Symposium’s (AP-S) Student Paper Competition for his paper, “Ray-Based Reconstruction Algorithm for Multi-Monostatic Radar in Imaging Systems.” Being selected as a finalist is quite an accomplishment, as each paper submitted to the IEEE AP-S Student Paper Competition undergoes three independent reviews from experts in the student’s field of study. Kurt’s submission was selected out of 159 papers, most of which were submitted by doctoral students. Kurt is a third year undergraduate student majoring in Electrical Engineering and conducts ALERT research with Professor Carey Rappaport on the R3 Research Thrust (Bulk Sensors & Sensor Systems).
The topic of Kurt’s paper is relevant to aviation security within the Homeland Security Enterprise. According to Kurt, “Today’s airport security scanners use very computationally demanding algorithms to process sensor data into an image of a passenger. As a result, these scanners require expensive, high-performance computers to complete the algorithms in a reasonable amount of time. Yet even with these powerful machines, it can still take several seconds for a scan to be processed.” In his paper, Kurt details a new algorithm that would result in significantly faster processing times (resulting in shorter lines at airport security checkpoints) and a reduction in the cost of the computer hardware used in scanners, potentially making the technology more accessible for broader security applications.
Under the guidance of Professor Rappaport, Kurt began coding the algorithm in the fall of 2015. Over the course of a year, Kurt brought the algorithm from a rudimentary 2D simulation to a functional 3D simulation worthy of publication. Reflecting on his experience conducting research with Professor Rappaport, Kurt states, “Aside from a great deal of technical knowledge, I think the most important thing I have learned from Professor Rappaport is to not leave an endeavor half-finished. Even when I was stuck on a technical challenge for weeks at a time, he would remind me that progress in research is non-linear and that it was worth seeing it through so that I could eventually share my work with the broader community.
Kurt’s interest in engineering was sparked during middle school, when he became involved in FIRST Robotics, a program that aims to develop young STEM leaders through robotics competitions. As time passed, Kurt became interested in the electrical side of engineering and decided to study Electrical Engineering at Northeastern University. After graduation, Kurt plans to pursue a master’s degree in the context of analog electronics, and is hoping that his upper level Electrical Engineering courses, co-op opportunities, and research experiences will help him choose a specific topic of study.
Kurt will present on his selected paper at the IEEE AP-S Symposium in San Diego, California in July. The Student Paper Competition Committee Chair will announce the first, second, and third place winners at the IEEE A-PS Symposium’s Annual Awards Ceremony.
Check Out Our Latest ALERT 101 Video March 31, 2017
ALERT 101: The Basics – Atoms and Molecules
The prequel to ALERT 101 – Methods of Chemical Characterization and Mitigation, ALERT 101 – The Basics: Atoms and Molecules, provides an introduction to atoms and molecules. This video describes the structure of atoms, basic behaviors and properties of atoms, and how atoms bond to form molecules. Different methods of molecule identification are also discussed.
For users without YouTube access: ALERT 101 – The Basics: Atoms and Molecules
Inspired by the success of TED (www.ted.com) and other educational media forums, ALERT has developed the ALERT 101 video series. Each video short features different technologies and research areas that the ALERT Center engages in. We hope that these productions help educate and inform the global community on these topics in an accessible and enjoyable way
This material is based upon work supported by the U.S. Department of Homeland Security, Science and Technology Directorate, Office of University Programs, under Grant Award 2013-ST-061-ED0001. The views and conclusions contained in this video are those of the authors and should not be interpreted as necessarily representing the official policies, either expressed or implied, of the U.S. Department of Homeland Security.
Faculty Spotlight: Joel Greenberg March 31, 2017
Dr. Joel Greenberg, an Assistant Research Professor in the Department of Electrical and Computer Engineering at Duke University, is one of the newest ALERT researchers. He is leading Project R1-C.3, “Characterizing, Modeling, and Mitigating Texturing in X-Ray Diffraction Tomography,” a newly funded research project that kicked off in January, 2017. His research lab is made up of one Ph.D. student, two master’s students, and two undergraduates.
Dr. Greenberg’s background is in multiple fields, as he received his bachelor’s degree in Mechanical and Aerospace Engineering along with a certificate in Physics at Princeton University in 2005. He then received his A.M. and Ph.D. in Physics, as well as a graduate certificate in Photonics, from Duke University in 2012. When asked how he became interested in homeland security related research, he states, “After my Ph.D., I was the technical and project manager for the DHS Science and Technology Coded Aperture X-ray Imaging (CAXI) program, which was tasked with studying how new advances in hardware and software, and algorithms could impact and improve the detection of contraband in luggage. Since that time, I have had the privilege of becoming even more involved in the world of security-related technology development, which contains a fascinating intersection of academia, government, and industry.”
Concerning major research questions in the field, Dr. Greenberg is very interested in addressing the limits of X-ray based explosives sensing. He is passionate about responding to real-world problems, and states that, “Because there is a cost and benefit to every measurement made, performing sensing in an optimal way requires an understanding of the underlying physics, available technologies, and algorithmic approaches. Getting the most useful information out of a set of measurements is key in the current data-deluged world of today.”
Dr. Greenberg is involved in numerous projects beyond his work with ALERT. His work with the Department of Homeland Security involves research testing next-generation X-ray diffraction tomography scanners and information theoretic analyses of X-ray-based detection systems. He is also working with radiologists and physicians at Duke University to develop devices based on X-ray diffraction that can aid in cancer detection research.
ALERT Research Highlights March 31, 2017
March 31, 2017
ALERT Thrust R3 Project Investigators, Dr. Carey Rappaport and Dr. Jose Martinez-Lorenzo of Northeastern University were awarded a patent for “Signal Processing Methods and Systems for Explosives Detection and Identification Using Electromagnetic Radiation” (U.S. Patent 9,575,045) on February 21, 2017. This patent is for an algorithm designed to rule out non-explosive concealed foreign objects concealed under clothing and affixed to the skin, reducing the number of false alarms, and thus, the number of pat-downs needed, leading to greater accuracy in threat detection and shorter security lines. The improved reliability would benefit many: passengers, airlines, and the Transportation Security Administration; and possibly lead to the expansion of AIT Millimeter Wave Scanners into everyday use, such as railway stations, sporting venues, and other soft targets. Read more about their research here.
Dr. Rappaport was recently selected by the IEEE Antennas and Propagation Society (AP-S) as a Distinguished Lecturer for 2017-2019. The IEEE AP-S Distinguished Lecturer Program sends experts, the Distinguished Lecturers, to visit active AP-S Chapters around the world and give talks on topics of interest and importance to the Antennas and Propagation community. Read more here.
Dr. Martinez-Lorenzo was recently awarded a $500K National Science Foundation (NSF) CAREER Award for his work on developing a method for “4D mm-Wave Compressive Sensing and Imaging at One Thousand Volumetric Frames per Second.” Millimeter-wave sensing and imaging systems are generally used for a wide range of applications, such as security monitoring to detect potential threats at the airport and biological imaging for wound diagnosis and healing. Because this is the first four-dimensional millimeter-wave imaging system that can operate in quick-changing scenarios, it will benefit society greatly. Read more about how Dr. Martinez plans to use this award here.
ALERT Thrust R2 Project Investigator, Dr. Steve Beaudoin of Purdue University was recently awarded “Best Presentation” in his session for a paper he presented on at the Annual AlChE Meeting in November 2016. The paper was based on his research project that was recently selected as a new ALERT project. The new project, titled “A Novel Method for Evaluating the Adhesion of Explosives Residue,” aims to provide insight into the reasons why explosives residues stick to surfaces and what must be done to effectively detect those residues in air transportation security environments. Read more about Dr. Beaudoin’s research here.
Prof. Rappaport and Prof. Martinez-Lorenzo Present ALERT Research at EuCAP 2017 March 24, 2017
Dr. Carey Rappaport and Dr. Jose Martinez-Lorenzo of Northeastern University presented ALERT-related research at the 11th European Conference on Antennas and Propagation (EuCAP 2017) in Paris, France this week (March, 19-24, 2017). EuCAP 2017 is organized by the European Association on Antennas and Propagation (EurAAP), and since 2006, this major event has been bringing experts from academia, research centers, and industry together.
Dr. Rappaport presented a paper entitled, “Modeling the Response of Dielectric Slabs on Ground Planes Using CW Focused Millimeter Waves,” which he co-authored with researcher, Dr. Ann Morgenthaler, and ALERT students, Mahdiar Sadeghi and Elizabeth Wig. In this paper, the researchers present a novel non-iterative model based on ray analysis to characterize non-metallic, weak dielectric objects (like threat objects) on the surface of a highly conducting background (like the human body) using a focused continuous millimeter-wave sensor.
Dr. Martinez-Lorenzo presented a paper entitled, “High Capacity Imaging Using an Array of Compressive Reflector Antennas,” which he co-authored with ALERT students, Ali Molaei and Galia Ghazi, and researchers, Dr. Hipolito Gomez-Sousa and Dr. Juan Heredia-Juesas. In this paper, the authors propose to use an array of six compressive reflector antennas (CRAs), in order to be able to image an extended human-size region. A CRA is created by distorting the surface of a traditional parabolic reflector antenna. As a result of using CRAs, pseudo-random spatial codes are created at the imaging region. Because these spatial codes increase the information collected by each measurement, a smaller number of measurements are needed, which translates into less imaging time. Additionally, the electromagnetic cross-coupling between adjacent CRAs is used to enhance the sensing capacity of the system, as well as to extend the region that it can image. Current security checkpoints use a pause and pose sensing approach for passengers, and require divestment and recollection of passengers’ possessions. This results in a slow throughput in the overall system, and long lines at security check-points. In the presented work, the researchers have developed a fast, fully electronic system that will not require a pause and pose approach, resulting in quick and accurate screening of passengers and their belongings.
Professor Jose Martinez-Lorenzo Awarded $500K NSF CAREER Award March 6, 2017
ALERT Thrust R3 Project Investigator, Professor Jose Martinez-Lorenzo of Northeastern University was recently awarded a $500K National Science Foundation (NSF) CAREER Award for his work on developing a method for “4D mm-Wave Compressive Sensing and Imaging at One Thousand Volumetric Frames per Second.” Millimeter-wave sensing and imaging systems are generally used for a wide range of applications, such as security monitoring to detect potential threats at the airport and biological imaging for wound diagnosis and healing. Because this is the first four-dimensional millimeter-wave imaging system that can operate in quick-changing scenarios, it will benefit society greatly.
One of the main applications of this system is finding security threats hidden under clothing, inside backpacks, or in public spaces, such as sports arenas. The system can scan multiple people within 26 cubic meters and produce 1000 3D image frames per second. This far surpasses existing millimeter-wave sensing and imaging systems.
Despite the efficiency of this system, there are still some challenges to overcome. This project will look to address these challenges and ideally, the results of this research will establish the scientific basis for the proposed new sensing and imaging systems, by enhancing the imaging performance, reliability, and efficiency while reducing the hardware complexity, overall cost, and energy consumption of the system.
Additionally, Professor Martinez-Lorenzo will develop an educational program that combines classroom learning with research training methods to help students understand the principles and limitations of wave-based imaging. This educational program will also collaborate with the Northeastern University Cooperative Education and Career Development Program to transition students into industry and the Northeastern University Center for STEM Education to provide valuable research experiences for K-12, undergraduate, and underrepresented students, as well as education through online materials and public venues.
ALERT’s Methods to Improve the Detection of Hidden Explosives Wins Patent March 3, 2017
ALERT researchers, Prof. Carey Rappaport and Prof. Jose Martinez-Lorenzo of Northeastern University were awarded a patent for “Signal Processing Methods and Systems for Explosives Detection and Identification Using Electromagnetic Radiation” (U.S. Patent 9,575,045) on February 21, 2017.
This patent is for an algorithm designed to rule out non-explosive concealed foreign objects affixed to the skin (i.e. hidden under clothing). Current security screening systems, such as AIT Millimeter Wave Scanners used at airports to scan passengers, are able to identify items with distinct shapes that are hidden on the body, such as guns and knives. However, explosives are considerably more difficult to identify in this manner, due to the fact that the size and shape of explosives can vary greatly, leading to time-consuming and potentially dangerous security pat-downs to determine if a suspicious object is a security threat, or a wallet that a passenger forgot to place in the bin.
Prof. Rappaport and Prof. Martinez-Lorenzo believe their algorithm, when plugged into existing screening systems, will greatly reduce the number of false alarms, and thus, the number of pat-downs needed, leading to greater accuracy in threat detection and shorter security lines. The improved reliability would benefit many: passengers, airlines, and the Transportation Security Administration; and possibly lead to the expansion of AIT Millimeter Wave Scanners into everyday use, such as railway stations, sporting venues, and other soft targets.
Image caption: Simulation of a human form with explosives slab affixed to chest.