SYSTEMS ENGINEERING RESEARCH, ACADEMICS, COMMUNITY - Boston University
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SYSTEMS
ENGINEERING
RESEARCH, ACADEMICS, COMMUNITY
Boston University College of Engineering
Division of Systems Engineering
TABLE OF CONTENTS
SECTION 1: AT A GLANCE
Letter from the Head, Page 2
Research Overview, Page 3
Academics Overview, Page 4
Faculty Overview, Page 5
AT A GLANCE
SECTION 2: RESEARCH
Cybersecurity, Page 7
Healthcare, Page 8
Autonomous Transportation, Page 9
SECTION 1
Energy, Page 10
Lab Directory, Page 11
SECTION 3: ACADEMICS
Student Population, Page 13
Accomplishments, Pages 14-15
SECTION 4: COMMUNITY
Faculty Directory, Pages 17-20
Administration, Post-Docs & Committees, Pages 19-20
CISE, Pages 21-22
LETTER FROM THE HEAD
The 2019-2020 Division of Systems Engineering Annual Report summarizes infor-
mation on new research projects, PhD dissertations completed, and the scholarly
output, distinctions and honors received by our faculty and graduate students.
The Division now includes 18 appointed faculty members with home departments
in Electrical and Computer Engineering and in Mechanical Engineering, along with
15 affiliated faculty members from the College of Engineering, the College of Arts
and Sciences, the Questrom School of Business, and the Medical School. Our PhD
student enrollment has grown to 45 students, along with 24 students in the MS and
MEng programs.
There were 10 PhD degrees awarded last year, along with 14 MS degrees and 4
MEng degrees. The Division continues to provide full financial support to all admit-
ted PhD students through fellowships, while our continuing PhD students remain
funded from research grants received by participating and affiliated faculty. This
year, our total sponsor commitment for active grants reached approximately $67M,
including a number of new grants, some of which are highlighted in the report. We
are also proud to list a number of honors and awards received by our faculty, as well
as accomplishments by our students.
The Division remains committed to world-class interdisciplinary research activities
in our primary concentration areas: Automation, Robotics and Control, Communica-
tions and Networking, Computational Biology, Information Sciences, and Produc-
tion, Service and Energy Systems. In partnership with the Center for Information and
Systems Engineering (CISE), we continue to look for exciting collaborative projects
that involve faculty from different colleges and departments at BU. We are also
expanding summer internship opportunities for our students with companies and re-
search laboratories across the US. I would like to close by gratefully acknowledging
the contributions of all Division faculty and students who, along with our outstand-
ing staff, continue to pursue the Division’s research and educational mission.
Christos Cassandras
Distinguished Professor of Engineering
Division Head
Table of Contents P1 At a Glance: Letter from the Head PAGES 2-6
FUNDING
ANNUAL TOTALS
$67 MILLION IN ACTIVE FUNDS NIH
DEGREES AWARDED
$52.5M Continuing Grants 19%
$14.6M New Grants
2019-2020 TOTALS
10 PhD Degrees
14 MS Degrees
NSF 4 MEng Degrees
34% 0 MS Degrees with Practice
1 Undergrad Minor
TOTAL HISTORICALLY
91 PhD Degrees
DOD 78 MS Degrees
13%
50 MEng Degrees
4 MS with Practice Degrees
11 Undergrad Minors
Other
‘19-’20
Corporate 2%
11%
DOE
4%
DHS
4%
Non-Profit
FUNDING AGENCY SNIPPETS 10%
ENROLLMENT
70 2019-2020 TOTAL
NATIONAL SCI. FOUNDATION NATIONAL INST. OF HEALTH DEPT. OF DEFENSE CORPORATE
ENROLLMENT
$23.4M in total funding $12.9M in total funding $8.9M in total funding $7.5M in total funding
45 PhD Students
$2M to fight cyber attacks: $561K for protein docking: $300K for artificial $5M for the cloud: 60 14 MS Students
David Starobinski is backed (New Grant) Pirooz Vakili intelligence: (New Grant) Azer Bestavros and Orran 10 MEng Students
by five grants aimed at (PI), Ioannis Paschalidis and Wenchao Li aims to detect Krieger (PI) are developing
identifying and combating Sandor Vajda are developing and defend against Trojans the Massachusetts 50
24
cybersecurity threats. optimization methods for hidden in AI models. Open Cloud (MOC)
protein structure prediction. for free public use.
Update: Google and Apple Update: Li received press 40
addressed Starobinski’s Update: Backed by four grants coverage in Wired for work that Update: MOC offers Cloud
team discovery while totaling $4M, their work was appeared in the 2020 Design services to groups fighting
developing a COVID-19 recently published in Science and Automation Conference. COVID-19 including hospitals.
contact tracing tool (P7). the Journal of Medicinal Chemistry.
NON-PROFIT DEPT. OF HOMELAND SEC. DEPT. OF ENERGY GIFTS FROM INDUSTRY
$6.9M in total funding $2.6M in total funding $2.6M in total funding
$82K for research training: $2.6M for first responders: $7K for energy $200K for road traffic:
(New Grant) Rebecca Khurshid David Castañón (PI), Clem Karl inefficiency: Michael Christos Cassandras is
received the Clare Boothe and Venkatesh Saligrama Gevelber is developing improving traffic mobility
45
Luce Award (CBL) to provide are improving emergency a system to determine in highways with Safe
funding to a woman graduate response to explosives. internal and external Swarms of smart vehicles.
‘19-’20
student on her team. building air leaks.
Update: Saligrama extended Update: The team recently
Update: An earlier CBL Update: Gevelber published work in Automatica
this work into a new project
awardee, Rebecca Swaszek, earned a patent for work and presented an optimal
and earned a patent (P5).
graduates this year as a related to energy and control framework solution
smart-transportation expert. sensing this year (P5). for traffic intersections (P15).
At a Glance: Research Overview P3 At a Glance: Academics Overview P4
CAREER
2
PROMOTIONS
ACTIVITY Sean Andersson was promoted to Professor of Mechanical Engineering and Systems Engineering
Alex Olshevsky was promoted to Associate Professor of Electrical and Computer Engineering
and Systems Engineering.
3
RESEARCH
APPOINTMENTS
Azer Bestavros, Boston University, Associate Provost for Computing & Data Sciences
Eric Kolaczyk, Hariri Institute, Director
Erol Peköz, Department of Operations and Technology Management, Chairperson
SECTION 2
4 UNIVERSITY AWARDS
Brian Kulis, Hariri Institute, Research Incubation Award
Bobak Nazer, College of Engineering, Distinguished Faculty Fellow
Ioannis Paschalidis, College of Engineering, Charles DeLisi Award and Lecturer
David Starobinski, Hariri Institute, Research Incubation Award; Department of Electrical
RESEARCH AREAS
and Computer Engineering, Faculty Teaching Award
AUTOMATION, ROBOTICS AND CONTROL
Cyber-physical systems, teams of autonomous agents, networked
4
control systems, image-guided surgery, control of material processes
PATENTS and nanoscale systems.
Prakash Ishwar, Method and Systems using privacy-preserving analytics for aggregate data, BU
alumnus Dr. Ye Wang is among the co-authors COMMUNICATIONS AND NETWORKING
Performance analysis, pricing and resource allocation, communication
Thomas Little, 2 Patents: System and method for embedding phase and amplitude into a real-
protocols, cybersecurity, visible light communication, and optical,
valued unipolar signal and Ray-surface positioning systems and methods
wireless and sensor networks.
Venkatesh Saligrama, Large scale video search using queries that define relationships between
objects COMPUTATIONAL BIOLOGY
Metabolic and gene networks, systems biology and protein docking.
5
INFORMATION SCIENCES
PLENARY TALKS Signal and image processing, multi-resolution signal modeling,
multidimensional detection and estimation, geometric-based
Thomas Little, “The Changing Requirements of Indoor Short-Range Wireless Communications
modeling and estimation, image encoding/decoding and the
Motivated by 6G” at Silicon Labs
integration of digital signal processing with signal understanding.
Azer Bestavros, ACM/IEEE CCGrid Symposium
Christos Cassandras, 2 Plenary talks: 1) 2019 IEEE Systems, Man, and Cybernetics Conference PRODUCTION, SERVICE AND ENERGY SYSTEMS
and 2) Kwan Chao-Chih Distinguished Lecturer at the Chinese Academy of Sciences Energy economics and management, smart grids, production scheduling
and planning, logistics, inventory control, supply chain management and
Calin Belta, MIT LIDS Student Conference financial engineering.
5
SOCIETAL AWARDS
Eric Kolaczyk, ASA, Mosteller Statistician of the Year; NESS, Appointed President-Elect
Thomas Little, IEEE TAOS, Best Paper, BU PhD candidate Iman Abdalla is first author
Venkatesh Saligrama, IEEE SPS BigData SIG, Elected Chairperson
David Starobinski and Ari Trachtenberg, IEEE ICBC, Best Paper, BU PhD candidate Anas Imtiaz
is first author
PLUS FACULTY RECENTLY PUBLISHED 192 JOURNAL PAPERS & 1 BOOK CHAPTER
At a Glance: Faculty Overview P5 Section 2: Research PAGES 6-10
TRACKING LOCATION fertility/family planning
models, including predicting
WITH BLUETOOTH
pregnancy, the success of
an IVF cycle, the presence of
specific reproductive health
issues affecting fertility, and
making related health care
recommendations.
Predictive models will
David Starobinski proved that peripheral device that indicate researchers tested out how well identify the most important
select Bluetooth devices allow it is available for connection. it could be used by a third party factors associated with
third parties to hack the device These signals contain a unique to track individual devices. reduced fertility or Assisted
and obtain sensitive information, address—similar to the IP Reproductive Technologies
such as your whereabouts and address of a computer—and a The researchers are not too (ART) success rates, which
activities. Starobinski’s team payload containing data about worried about the security of could pinpoint specific lifestyle
revealed that cyber information the connection. Bluetooth devices—yet. habits, environmental factors,
becomes vulnerable to attack and other key drivers of
when different Bluetooth Most devices produce “There are tons of ways to reduced positive outcomes
devices establish a connection. randomized addresses that track people, with or without that can inform health policy
automatically reconfigure Bluetooth,” says graduate recommendations.
According to Starobinski, the periodically, instead of researcher Johannes Becker.
very same features that allow maintaining one permanent A key focus will be on ovulation
a device to “authenticate,” or address in an attempt to “It’s always good to be aware disorders, including Polycystic
correctly identify, its user—e.g., improve privacy. It’s designed of the kind of signals you’re Ovary Syndrome, which are
saved paired device information to throw nefarious observers sending out, especially in the leading cause of female
or a fingerprint pass code—can off the scent of a given device’s the age of IoT. I’m much infertility and are associated
be co-opted by a third party to location, but Starobinski’s team more skeptical toward these with an increased risk of chronic
FERTILITY
track the person instead. discovered an oversight in this devices that don’t give you diseases, such as diabetes and
process that allows a device to control [of Bluetooth], such cardiovascular disease.
Before a pair of Bluetooth be tracked even as its address as smartwatches, where you
devices can begin transmitting changes. can just assume they are
SERVICES
This work is backed by a $1.2
information, it must first broadcasting something all the million NSF grant.
establish which device will play Since the payload information time.”
a central role in the connection updates at a different rate than By Maureen Stanton for the
and which device will play the address information, the This piece is based on an article Center for Information and
a peripheral role. Once the communication blips between written by Sarah Wells (COM Systems Engineering.
pair’s hierarchy is established, Bluetooth devices paint an ’18) for BU Today. A BU-Harvard research team, led by Professors
the central device begins identifiable pattern. Having Ioannis Paschalidis and Alex Olshevsky led a
project aimed at improving women’s reproductive Original photo by Priscilla Du
scanning for signals sent by the discovered this vulnerability, the Preez via Unsplash.
health using AI and machine learning.
Most recently,
Starobinski’s
discovery was The demands of modern life, intelligence to develop an “Collaboration for improving
addressed education and career choices, integrative approach to enable discovery and improving care
by Apple and as well as the availability personalized reproductive/ for women across the life
Google of assisted reproductive fertility predictions and course is critically important,”
to improve technologies, are leading individualized prescriptions to says collaborator Dr. Shruthi
their COVID-19 many individuals and couples help address fertility problems. Mahalingaiah (Harvard
Exposure to delay childbearing. This The researchers will also focus University).
Notification has contributed to infertility on improving the understanding
service. It is and sub-fertility emerging of socioeconomic disparities in “Merged datasets including
mentioned in a as significant public health the use of infertility treatment self reporting, lifestyle, and
joint-corporation problems in the US, affecting services. exposures, clinical-grade
document that about 15% of couples, and data, and data collected from
explains the resulting in more than $5 billion “The overall goal is to enable wearable devices will provide
technology. spent annually in infertility people to optimize health personalized insights so that
services. Such costs are often before conception, identify women can be empowered to
not covered by health insurance modifiable determinants of understand information on the
and, consequently, generate fertility, and reduce health health of their bodies and make
access disparities. risks during pregnancy and the best choices for their health
Original photo
beyond,” says Professor Ioannis and futures.”
by Brett Jordan
The BU-led project will leverage Paschalidis (PI).
via Unsplash.
machine learning and artificial The research team will develop
Research: Cybersecurity P7 Research: Healthcare P8
DRONE CHANGING THE
AUTOPILOT ENERGY LANDSCAPE
Inside Ioannis Paschalidis’ navigation method that maps the framework for how scientists
lab, moths are playing a “video specific location of obstacles. can observe animals and collect To create a tool that measures their performance and ability to Caramanis is joined by fellow Boston University received
game” where they travel through actionable data. the risk associated with energy deliver market cleared capacity Boston University Systems this competitive award from
a virtual forest displayed on a Back in the lab, the team coded markets, academic and industry and energy,” explains project Engineering Professors ARPA-E’s Performance-
projector screen. a computer simulation with an “Together with behavioral researchers are joining forces. lead Michael Caramanis. Christos Cassandras based Energy Resource
obstacle course that looked observations, we can Lead by a BU Professor of and Ioannis Paschalidis. Feedback, Optimization,
The team is working to develop like a forest, through which the understand what is happening Systems Engineering, the “By synthesizing ideas and Panagiotis Andrianesis joined and Risk Management
a self-navigating vehicle that drones would trek. The first done in the brain,” says Paschalidis. team is creating a tool is called theories from finance and the team as an SE post-doc (PERFORM) program, which
behaves like an omniscient living mimicked the moth’s optical flow “[And ultimately, create] more New Risk Assessment and insurance, operations research, and was appointed Research works to develop innovative
animal. By studying how moths’ strategy, while the second drone autonomous, more adaptable Management Paradigm or power system engineering Associate Professor of Systems management systems that
naturally approach navigation, utilized an upgraded system robot systems.” NewRAMP. It is expected to and electricity market design, Engineering in late Summer represent the relative delivery
the team can build a bio-inspired with optical flow and obstacle overhaul electricity markets NewRAMP will offer ground- 2020. risk of each asset, like wind
synthetic navigation system. detection support. This project is funded in part by efficiently addressing breaking methodologies farms or power plants, and
Fellow SE professors John by a $7.5 million Department uncertainty in the forthcoming constituting a risk-driven The team also brings together balance the collective risk of all
Baillieul and Roberto Tron are The second drone navigated of Defense Multidisciplinary massive renewable generation paradigm to achieve higher BU Professors Nalin Kulatilaka assets across the grid.
among the team of researchers. more effectively than the University Research Initiative and electrification of fossil fuel adoption of stochastic (Questrom Finance), John
first, but with a big catch: the (MURI) grant. reliant energy uses. resources and a more efficient Liagouris (CAS Computer ---
“Humans and animals are enhanced program had to be and reliable system operation. Science) and Pablo A. Ruiz The award was announced in
ideal navigators,” says readjusted to perform optimally “The NewRAMP project will As such, it will contribute to (COE Mechanical Engineering) February of 2020, with funds to
Paschalidis, senior author on a in each new forest simulation. This piece is based on an article develop innovative approaches reducing imported energy, with researchers from Harvard, be disbursed in 2020/2021.
new study published in PLOS written by Kerry Benson, The that quantify the risk of reducing energy-related Brattle Group and Southwest
Computational Biology. In contrast, the first drone Brink individual Electric-Power-Grid- emissions and improving Power Pool. By Maureen Stanton for the
was more adaptable to new interconnected assets based on energy efficiency.” Center for Information and
Moths primarily rely on a environments. While it didn’t The original moth photo by Paul Systems Engineering.
system called “optical flow” to select the absolute best path Biñas’ via Unsplash; original
navigate while flying; and while through the different forest drone photo by Jason Blackeye Original photo by Karsten
this technique is effective, it is environments, its strategy could via Unsplash. Wurth via unsplash.
not failsafe. Moths frequently perform better across a wide
crash and die while flying. To range of scenarios without
explore this dilemma, the team needing to be adjusted by
developed a test to compare two human input.
navigation approaches - optical
flow vs. enhanced optical flow. Key to this study is the
The enhancement is essentially methodology. It is the first
the addition of a second-tier experiment to establish a
Research: Autonomous Systems P9 Research: Green Energy P10
LABORATORIES HEADLINE
ANDERSSON LABORATORY INFORMATION & DATA NETWORKS RESEARCH SPIRA-LENBURG
Sean Andersson SCIENCES LABORATORY GROUP LABORATORY
bu.edu/anderssonlab C. Cassandras, D. Castañón, A. Bestavros, M. Crovella, Avrum Spira
The lab explores the dynamics W. Karl, B. Kulis, W. Li, A. Matta bumc.bu.edu/compbiomed/
in nanometer-scale systems T. Little, P. Ishwar, B. Nazer, bu.edu/cs/nrg/ labs/spira-lenburg
with fundamental theory, A. Olshevsky, I. Paschalidis, Research encompasses network The lab utilizes post-genomic
applied mathematics, and V. Saligrama, D. Starobinski, measurement, architectures technologies and computation-
ACADEMICS
physical experiments. The work A. Trachtenberg and protocols. Projects span al tools to improve the diagno-
applies to nanobioscience, nan- bu.edu/iss from the design and imple- sis, treatment and prevention of
otechnology, and robotics. The lab designs and synthesizes mentation to the analysis of lung disease.
secure networked systems for networked applications and
ADVANCED PROCESS optimum decision-making and systems. VAJDA LABORATORY
CONTROL LABORATORY
Michael Gevelber
control.
OPTIMIZATION AND
Sandor Vajda
vajdalab.org
SECTION 3
bu.edu/pcl INTELLIGENT MACHINE LEARNING The lab focuses on the recog-
The lab applies a controls- MECHATRONICS LABORATORY nition of proteins and small
based approach to integrate LABORATORY Francesco Orabona molecules by protein receptors.
process modeling, sensor de- J. Baillieul, S. Andersson, sites.google.com/view/optimal-lab/ The work applies to metabolic
velopment, system and control H. Wang The lab explores the research control, signal transduction,
design and experimentation. bu.edu/iml topic at the intersection be- gene regulation, rational drug
Projects explore limited-band- tween machine learning and and vaccine design.
CONTROL OF DISCRETE width control problems, coopera- optimization, with emphasis on
EVENT SYSTEMS
LABORATORY (CODES)
tive systems and control, symbolic
control and animal-inspired agile
adaptive and parameter-free
methods.
VISUAL INFORMATION
PROCESSING LABORATORY THE MISSION
Christos Cassandras flight control. J. Konrad, P. Ishwar Rather than focus on specific application areas, the SE curriculum
christosgcassandras.org/codes NETWORK OPTIMIZATION & vip.bu.edu/ offers a holistic view of the field: a fundamental science-based
The lab conducts research on LABORATORY OF CONTROL LABORATORY Projects relate to technology education applicable to all aspects of modeling, analysis,
modeling, design, analysis, per- NETWORKING & Ioannis Paschalidis transfer in the broad areas of simulation, control, optimization and management of complex
formance evaluation, control
and optimization of a variety INFORMATION SYSTEMS sites.bu.edu/paschalidis/ image, video and multimedia systems. The Division cuts across numerous departments at BU to
of discrete events and hybrid D. Starobinski, Research deals with fundamen- processing. This visual infor- provide a well-rounded perspective of the environment in which
systems. A.Trachtenberg tal problems in the fields of mation processing research a system is housed. An education in systems engineering touches
nislab.bu.edu optimization, control, stochastic applies to visual surveillance, on skill sets based in areas like electronics, mechanics, chemistry,
DATA SCIENCE & MACHINE The lab offers a perspective on systems and data science. 3D video and human-computer biology, business management, logistics and more. Graduates are
LEARNING LABORATORY modern networking with em- interfaces. equipped with unique skills to adapt to a variety of domains.
Venkatesh Saligrama phasis on scalability, heteroge- RELIABLE COMPUTING
sites.bu.edu/data/ neity and performance. LABORATORY
Projects related to vision and
learning, decision and control MULTI-DIMENSIONAL
Lev Levitin
bu.edu/reliable
GLOBAL DUAL DEGREE
machine learning and struc- SE partners with Tsinghua University in Beijing for a dual
SIGNAL PROCESSING Projects span from the design
tured signal processing. engineering degree program. Students are selected from the
LABORATORY of computer chips to efficiency
Department of Automation at Tsinghua University to enroll in BU’s
W. Clem Karl testing in hardware, software,
DEPENDABLE COMPUTING mdsp.bu.edu signal processing and net-
courses for two semesters. Afterwards, they return to Tsinghua
LABORATORY The lab applies computational works.
University to complete the program. US News & World Report ranks
Wenchao Li imaging to develop statistical partner Tsinghua University as one of the top global engineering
sites.bu.edu/depend/ models to extract information ROBOTICS LABORATORY programs.
The research spans depend- from diverse and vulnerable C. Belta & S. Andersson,
STUDENT FUNDING
able computing, particularly the data sources. J. Baillieul, C. Cassandras,
development of computational R. Tron
proof methods and machine MULTIMEDIA sites.bu.edu/robotics Students are guaranteed funding for five years conditioned on
learning techniques to aid the COMMUNICATIONS Research spans several areas of satisfactory academic performance.
construction of safe, reliable LABORATORY robotics, including motion plan- Currently, 44 PhD students and 6 MS students receive funding:
and secure systems. Thomas Little ning, control, machine learning 36 PhD Doctoral Research Fellows
hulk.bu.edu and computer vision. 6 PhD Systems Fellows
HYBRID AND NETWORKED
Projects focus on ubiquitous 2 PhD Dean’s Fellows
SYSTEMS LABORATORY
distributed computing, specif- 6 MS students with Tuition Scholarships
Calin Belta
ically in the area of distributed
sites.bu.edu/hyness
multimedia information systems
The lab is focused on integrat-
emphasizing time-dependent
ing algorithms and machine
and continuous media data.
learning to make robots smart-
er and more autonomous.
Research: Lab Directory P11 Section 3: Academics PAGES 12-15
PHD STUDENT ACCOMPLISHMENTS
DEMOGRAPHICS
SUHAIL ALSALEHI KASRA GHASEMI penetration rate effect of Hopper Conference:
Advisor: C. Belta Advisor: C. Belta connected and automated Simultaneous Localization and
Oral Presentation: MIT Journal Publication: Ghasemi, vehicles in mixed traffic routing, Parameter Estimation for Single
Ideathon: How the Education Kasra & Sadraddini, Sadra & IEEE Intelligent Transportation Particle Tracking in Confined
System in the MENA Region Belta, Calin. Compositional Systems Conference. Environments.
7 DOMESTIC 38 INTERNATIONAL has been Affected by the Synthesis via a Convex Conference Publication: Salazar, Journal Publication: Lin,
PHD STUDENTS PHD STUDENTS COVID-19 Pandemic. Parameterization of Assume- Mauro, Arian Houshmand, Ye, Sean B. Andersson.
2 FEMALE 5 MALE 12 FEMALE 26 MALE Guarantee Contracts. Christos G. Cassandras, and Quantitative Comparison
Oral Presentation: MIT Sloan
Health Competition: Pitched a Journal Publication: Ghasemi, Marco Pavone. Optimal routing of Single Particle Tracking
Startup Idea. Kasra & Sadraddini, Sadra & and energy management Algorithms Across Different
Belta, Calin. Compositional strategies for plug-in hybrid Signal and Noise Levels,
RUI CHEN Synthesis of Decentralized electric vehicles, IEEE Intelligent Biophysical Journal.
Advisor: C. Cassandras Robust Set-Invariance Transportation Systems Oral Presentation: CISE CGSW
Journal Publication: R. Controllers for Large-scale Conference. 7.0: Simultaneous Localization
Chen and C. G. Cassandras. Linear Systems. and Parameter Estimation for
ARMAN KARIMIAN
MASTERS Stochastic Flow Models
VITTORIO GIAMMARINO Advisor: R. Tron
Single Particle Tracking via
DEMOGRAPHICS
with Delays, Blocking and Sigma Points based EM.
Applications to Multi- Advisor: C. Cassandras Conference Publication: Oral Presentation: Quantitative
Intersection Traffic Light Conference Publication: V. Karimian, Arman, Roberto BioImaging Conference, UK:
Control, Journal of Discrete Giammarino, M. Lv, S. Baldi, Tron. Bearing-only Consensus Quantitative Comparison
Event Dynamic Systems. P. Frasca and M. L. Delle and Formation Control under of Single Particle Tracking
Conference Publication: R. Monache. On a weaker notion Directed Topologies, IEEE ACC. Algorithms Across Different
Chen, C. G. Cassandras, and A. of ring stability for mixed Signal and Noise Levels.
Tahmasbi-Sarvestani. Time and traffic with human-driven and XIAOYU LI
Advisor: R. Orabona Conference Publication: Center
7 DOMESTIC 17 INTERNATIONAL energy-optimal lane change autonomous vehicles, IEEE for Autonomous and Robotic
MASTERS MASTERS maneuvers for cooperating CDC. Conference Publication: Li,
1 FEMALE 6 MALE 6 FEMALE 11 MALE Systems Kick off: Simultaneous
STUDENTS STUDENTS connected automated vehicles, Xiaoyu, Francesco Orabona.
Journal Publication: V. Localization and Parameter
IEEE CDC Giammarino, S. Baldi, P. A High Probability Analysis of Estimation for Single Particle
Travel Award: Canada: Neural Frasca and M. L. D. Monache, Adaptive SGD with Momentum, Tracking via Sigma Points
Information Processing Systems Traffic Flow on a Ring With a ICML 2020 Workshop on based EM.
Foundation. Single Autonomous Vehicle: Beyond First Order Methods in
An Interconnected Stability ML Systems. NOUSHIN MEHDIPOUR
ADITYA GANGRADE Perspective, IEEE Transactions Advisor: C. Belta
Advisor: B. Nazer on Intelligent Transportation YE LIN
Advisor: S. Andersson Travel Award: Phoenix, AZ:
PHD DISSERTATIONS Journal Publication: Gangrade, Systems. ACC Annual Meeting
Aditya, Praveen Venkatesh, Conference Publication:
NASSER HASHEMI Godoy, Boris I., Ye Lin, Sean Conference Publication:
RUIDI CHEN, Advised by I. Paschalidis, Distributionally Robust Learning under the Wasserstein Metric Bobak Nazer, Venkatesh Mehdipour, Noushin,
Saligrama. Efficient Near- Advisor: P. Vakili B. Andersson. A Time-Varying
ARIAN HOUSHMAND, Advised by C. Cassandras, Eco-routing and Scheduling of Connected and Autonomous Vehicles Approach to Single Particle Cristian-Ioan Vasile, Calin
Optimal Testing of Community Journal Publication: Belta. Arithmetic-geometric
FRANCISCO PENEDO ALVAREZ, Advised by C. Belta, Formal Methods for Partial Differential Equations Changes in Balanced Stochastic Houshmand, Arian, Christos G. Tracking with a Nonlinear
Observation Mode, 2020 ACC. mean robustness for control
ADAM SONNENBERG, Advised by B. Suki, Towards Optimizing Particle Deposition in Bifurcating Structures Block Models, Advances in Cassandras, Nan Zhou, Nasser from signal temporal logic
REBECCA SWASZEK, Advised by C. Cassandras, Data-Driven Fleet Load Balancing Strategies for Shared Mobility-On-Demand Systems Neural Information Processing Hashemi, Boqi Li, and Huei Conference Publication: Godoy, specifications, IEEE ACC.
Systems. Peng. Combined Eco-Routing Boris I. , Nicholas A. Vicker,
TAIYAO WANG, Advised by C. Cassandras, Data Analytics And Optimization Methods In Biomedical Systems: From Microbes To Humans and Power-Train Control of Ye Lin, Sean B. Andersson. Conference Publication:
Conference Publication: Mehdipour, Noushin, Cristian-
TINGTING XU, Advised by I. Paschalidis, Machine Learning for Effective Predictions and Prescriptions in Health Care Plug-In Hybrid Electric Vehicles Estimation of General Time-
Gangrade, Aditya, Durmus Ioan Vasile, Calin Belta.
FATMA YANIKARA, Advised by M. Caramanis, Decentralized Scheduling of EV Energy and Regulation Reserve Services in Distribution Network Markets Alp Emre Acar, and Venkatesh in Transportation Networks. varying Single Particle Tracking
Linear Models Using Local Average-based robustness
YUE (JOYCE) ZHANG, Advised by C. Cassandras, Methods in Intelligent Transportation Systems Exploiting Vehicle Connectivity, Autonomy and Roadway Data Saligrama. Budget Learning for continuous-time signal
via Bracketing, International MAJID HEIDARIFAR Likelihood, European Control
HENGHUI ZHU, Advised by I. Paschalidis, Making Decisions Based on Context: Models and Applications in Cognitive Sciences and Natural Language Processing Advisor: M. Caramanis Conference. temporal logic, IEEE CDC.
Conference on Artificial
Intelligence and Statistics. Travel Award: Atlanta, GA: IEEE Conference Publication: Conference Publication:
INTERNSHIPS PES General Meeting. Lin, Ye, Sean B. Andersson. Haghighi, Iman, Noushin
Conference Publication: Mehdipour, Ezio Bartocci,
Siahamari, Ali, Aditya Simultaneous Localization and
ARIAN HOUSHMAND Calin Belta. Control from signal
MAHROO BAHREINIAN, iRobot Gangrade, Brian Kulis, and Parameter Estimation for Single
Advisor: C. Cassandras Particle Tracking via Sigma temporal logic specifications
MAJID HEIDARIFAR, Electric Power Research Institute Venkatesh Saligrama. Piecewise with smooth cumulative
Linear Regression via a Conference Publication: Points based EM., 58th IEEE
ARTIN SPIRIDONOFF, Radial Analytics CDC. quantitative semantics, IEEE
Difference of Convex Functions, Houshmand, Arian, Salomón CDC.
XIAO WANG, Amazon Web Services International Conference on Wollenstein-Betech, and Oral Presentation: Grace
SALOMON WOLLENSTEIN-BETECH, PROS Inc. Machine Learning. Christos G. Cassandras. The
WEI XIAO, APTIV
Academics: Student Population P13 Academics: Student Accomplishments P14
CONTINUED
Oral Presentation: EBICS Estimates for Regularized Mixed G. Cassandras. Distributed 21st IFAC World Congress.
Research Webinar on SynBio Linear Regression Models Non-Convex Optimization of Journal Publication: Welikala,
Approaches to Organoids: by Taiyao Wang and Ioannis Multi-Agent Systems Using Shirantha, Christos G.
Automated Frameworks for Paschalidis, Presented at IEEE Boosting Functions to Escape Cassandras. Asymptotic
Spatial and Spatiotemporal CDC and CISE CGSW 7.0. Local Optima, IEEE ACC. Analysis for Greedy Initialization
Pattern Synthesis. Journal Publication: Wang, Journal Publication: Sun, of Threshold-Based Distributed
COMMUNITY
Oral Presentation: Grace Taiyao, Paschalidis, Ioannis. Chuangchuang, Shirantha Optimization of Persistent
Hopper Celebration: Convergence of Parameter Welikala, Christos G. Monitoring on Graphs.
Spatiotemporal Pattern Estimates for Regularized Cassandras. Optimal Journal Publication: Welikala,
Synthesis Using Machine Mixed Linear Regression Composition of Heterogeneous Shirantha, Christos G.
SECTION 4
Learning and Optimization. Models. Multi-Agent Teams for Cassandras. Event-Driven
Conference Publication: Coverage Problems with Receding Horizon Control
Arithmetic-geometric mean XIAO WANG Performance Bound For Distributed Persistent
robustness for control Advisor: P. Chin Guarantees, Automatica. Monitoring in Network Systems.
from signal temporal logic Travel Award: Macao, China: Journal Publication: Sun, Oral Presentation: CISE CGSW
specifications, IEEE ACC. International Joint Conference Chuangchuang, Shirantha 7.0: Improved Performance
SHAHABEDDIN SOTUDIAN
on Artificial Intelligence. Welikala, Christos G.
Cassandras. Optimal
Bound Guarantees for CROSS-DISCIPLINARY
FOUNDATION
Submodular Maximization and
Advisor: I. Paschalidis YUPING WANG Composition of Heterogeneous Applications in Multi-Agent
Award: Summer fellowship from Advisor: G. Stringhini Multi-Agent Teams for Coverage Control.
Coverage Problems with The Division of Systems makes possible ground-breaking
BU Institute for Health System Oral Presentation: BU IHSIP
Innovation & Policy, Digital Student Research Summer Performance Bound collaborations and discoveries by uniting researchers that have
Health Initiative. Seminar: Tracking COVID-19 Guarantees. primary appointments in different colleges across the campus,
Misinformation. Conference Publication: including:
TAIYAO WANG Welikala, Shirantha, Christos
Advisor: I. Paschalidis SHIRANTHA WELIKALA G. Cassandras. Asymptotic College of Arts and Sciences
Advisor: C. Cassandras Analysis for Greedy Initialization Bioinformatics Program, Department of Computer Science,
Award: CISE CGSW 7.0, Third Department of Mathematics and Statistics
Place, Best Paper Award. Conference Publication: of Threshold-Based Distributed
Optimization of Persistent College of Engineering
Convergence of Parameter Welikala, Shirantha, Christos Department of Biomedical Engineering,Department of Electrical
Monitoring on Graphs, Proc. of
and Computer Engineering, Department of Mechanical
Engineering, Division of Materials Science and Engineering
Questrom School of Business
Operations and Technology Management
SMART CITIES School of Medicine
DISSERTATION AWARD Division of Computational Biomedicine
FACULTY PROFESSIONAL
In road transport engineering, an intersection is defined as at-
Ruidi Chen won the Division of Systems Engineering Best grade junction where two or more roads or streets meet or cross.
SOCIETY ENGAGEMENT
Dissertation Award, titled “Distributionally Robust Learning Statistically, it has been evidenced that intersections present a
under the Wasserstein Metric.” Chen was advised by major hurdle in traffic control as they account for the lion’s share
Ioannis Paschalidis. of accidents and of overall road congestion. Present technological 4 Presidents of Professional Society (past/present)
innovations have led to the introduction of autonomous vehicles/
6 Editors-in-Chief (past/present)
Connected Automated Vehicles (CAVs). Ideally, such innovations
19 Professional Society Fellows
demand the development of an efficient traffic management
14 CAREER Winners
method purposed to reduce congestion and increase safety with
not affect the existing infrastructure. This can be achieved through
Plus, SE faculty have served as general chair or track chair for more
tighter spacing of vehicles.
than 100 major conferences hosted all over the world.
Professor Christos Cassandras and former PhD student
GRACE HOPPER Yue Zhang published a solution to the problem in Automatica. They
CELEBRATION presented a intersection traffic management framework for CAVs
crossing a signal-free intersection.
Three SE PhD students - Clara Lin, Rui Liu and Xiaoyu Li -
were among seven students representing BU at this year’s Zhang is now a research scientist at Facebook.
Grace Hopper Celebration. The students were sponsored by
the Division of SE and CISE. Originally published in Advances in Engineering.
Academics: Student Accomplishments (Cont.) P15 Section 4: Community PAGES 16-22
APPOINTED
PROFESSORS
SEAN ANDERSSON DAVID CASTAÑÓN FRANCESCO ORABONA ROBERTO TRON
Professor of ME & SE Professor of ECE & SE Assistant Professor of ECE, SE & CS Assistant Professor of ME & SE
Robotics, control theory, scanning probe microscopy, Stochastic control, estimation optimization, image Machine learning and optimization Intersection of automatic control, robotics and
single molecule tracking understanding and parallel computation computer vision, with a particular emphasis on
PhD, University of Genoa, 2007
PhD, University of Maryland, 2003 PhD, Massachusetts Institute of Technology, 1976 applications of Riemannian geometry and on
IEEE Fellow, 2019 distributed problems involving teams of multiple
NSF CAREER Award, 2009
IEEE Control Systems Society Past President, 2008 agents
PhD, Johns Hopkins University, 2012
JOHN BAILLIEUL PRAKASH ISHWAR IOANNIS PASCHALIDIS PIROOZ VAKILI
Distinguished Professor of ME, ECE & SE Professor of ECE & SE Professor of ECE, BME & SE Research Associate Professor of ME & SE
Statistical signal processing, machine learning, Director of CISE
Robotics, control of mechanical systems, mathematical Monte Carlo simulation, optimization,
system theory, information-based control theory information theory, secure multi-party computation, Systems and control, networking, applied probability,
optimization, operations research, computational biology, computational biology, computational finance
visual information processing and analysis
PhD, Harvard University, 1975 medical informatics, bioinformatics. PhD, Harvard University, 1989
PhD, University of Illinois Urbana, Champaign, 2002
IEEE, IFAC & SIAM Fellow PhD, Massachusetts Institute of Technology, 1996
IEEE Transactions on Signal Processing Associate IEEE Fellow; IEEE Transactions on Control of Network Systems
40 th President of the IEEE Control Systems Society,
Editor, 2012-2014 Founding Editor-in-Chief; NSF CAREER Award, 2000
2006 NSF CAREER Award, 2005 NAE Frontiers of Engineering, 2002
CALIN BELTA REBECCA KHURSHID JAMES PERKINS HUA WANG
Professor of ME, ECE, Bioinformatics & SE Assistant Professor of ME & SE Associate Professor of ME & SE Associate Professor of ME & SE
Verification/ control of dynamical systems, hybrid Robotics Real-time scheduling and control of manufacturing Associate Head of Division of Systems Engineering
systems, symbolic control, robot motion planning/ PhD, University of Pennsylvania, 2015 systems, supply chain management, resource pricing Control of nonlinear phenomena, intelligent
control, gene/ metabolic networks and congestion control in communications networks systems and control, complex networks,
PhD, University of Pennsylvania, 2003 PhD, University of Illinois, Urbana-Champaign, 1993 cooperative control, robotics, applications in
IEEE Fellow, 2017 biological, energy and aerospace systems
AFOSR Young Investigator Award, 2008 PhD, University of Maryland at College Park, 1993
NSF CAREER Award, 2005
MICHAEL CARAMANIS BRIAN KULIS VENKATESH SALIGRAMA
Professor of ME & SE Associate Professor of ECE & SE Professor of ECE & SE
Mathematical programming, control and Machine learning, statistics, large-scale data analysis Machine learning, computer vision, information theory,
stochastic systems PhD, University of Texas at Austin, 2008 and statistical signal processing
PhD, Harvard University, 1976 NSF CAREER Award, 2015 PhD, Massachusetts Institute of Technology, 1997
IEEE Fellow, 2019
NSF CAREER Award, 2005
Presidential Early Career Award, 2003
ONR Young Investigator Award, 2002
CHRISTOS CASSANDRAS ALEX OLSHEVSKY DAVID STAROBINSKI
Distinguished Professor of ECE and SE Associate Professor of ECE & SE Professor of ECE & SE
Head of Division of Systems Engineering Control and algorithms for multi-agent systems, sensor Wireless and vehicular networks; QOS and traffic
Discrete event/ hybrid systems, stochastic optimization, networks, distributed optimization, control of large- engineering; network economics; cybersecurity
simulation, manufacturing systems, communication/ scale systems PhD, Technion, Israel Institute of Technology, 1999
sensor networks, multi-agent systems PhD, Massachusetts Institute of Technology, 2010 DOE Early Career Award, 2004
PhD, Harvard University, 1982 AFOSR Young Investigator Award, 2015 NSF CAREER Award, 2002
IEEE & IFAC Fellow NSF CAREER Award, 2014
IEEE Control Systems Society President, 2012
IBM/IEEE Smarter Planet Challenge prize, 2011 & 2014
Community: Appointed Faculty P17 Community: Appointed Faculty (Cont.) P18AFFILIATED VISITING
PROFESSORS COMMITTEE
TAMER BASAR
AZER BESTAVROS LEV LEVITIN EROL PEKÖZ
Director, Center for Advanced Study; Swanlund Endowed
Professor of CS Distinguished Professor of ECE Professor of Operations & Technology Management (OTM)
Chair, Department of Electrical and Computer Engineering;
Associate Provost for Computing & Data Sciences Information theory, physics of communication Chairperson of OTM
CAS Professor of Electrical and Computer Engineering, Center
Networking, distributed systems, and trustworthy and computing, complex and organized systems, Applied probability and statistics, rare events, Stein’s
for Advanced Study; Research Professor, Coordinated Science
computing research quantum theory of measurement, reliable communication method queuing theory and statistical methods for
Laboratory; Research Professor, Information Trust Institute,
PhD, Harvard University, 1992 and computing, bioinformatics health care data
University of Illinois at Urbana-Champaign
PhD, Gorky University, 1969 PhD, University of California Berkeley, 1995
DIMITRIS BERTSIMAS
Boeing Professor of Operations Research and Co-Director,
MARK CROVELLA WENCHAO LI AVRUM SPIRA Operations Research Center, Massachusetts Institute of Technology
Professor of CS Assistant Professor of ECE Alexander Graham Bell Professor of Healthcare
Performance evaluation, focused on parallel and AI safety, human cyber physical systems, formal methods, Entrepreneurship, YU-CHI (LARRY) HO
networked computer systems, detecting and design automation Chief of the Division of Computational Biomedicine, Professor Emeritus, Harvard University;
understanding anomalies in IP networks, efficient PhD, University of California, Berkeley, 2013 Director of Translational Bioinformatics Program Chief Scientist and Chair Professor, Center for Intelligent and
network monitoring, network security Lung cancer and COPD genomics, smoking and Networked Systems, Tsinghua University, Beijing, China
PhD, University of Rochester, 1994 airway gene expression, bioinformatics
MD, McGill University, 1996 KIRK E. JORDAN
IBM Distinguished Engineer, Data Centric Systems, IBM T.J.
ARI TRACHTENBERG Watson Research; Chief Science Officer, IBM Research UK;
MICHAEL GEVELBER THOMAS LITTLE
Professor of ECE Member, IBM Academy of Technology
Associate Professor of ME & MSE Professor of ECE
Development of control and sensing systems for Associate Dean of COE Educational Initiatives Cyber security, algorithms, error-correcting codes
P. R. KUMAR
electrospinning of nanofibers, plasma spray, ebeam Associate Director NSF Smart Lighting ERC PhD, University of Illinois, 2000
University Distinguished Professor and College of Engineering
deposition, crystal growth, CVD, and intelligent Computer networking, mobile computing,
Chair in Computer Engineering, Texas A&M University
building HVAC systems distributed systems, multimedia streaming
PhD, Massachusetts Institute of Technology, 1988 and storage, visible light communications
MARK T. MAYBURY
PhD, Syracuse University, 1991
Vice President and Chief Technology Officer, The MITRE
Corporation
W. CLEM KARL ABRAHAM MATTA SANDOR VAJDA
Professor of ECE & BME Professor of Computer Science Professor of BME & Chemistry STEFAN MIESBACH
Chairperson of ECE Chairperson of Computer Science Director of BMERC Vice President and Director, Unify Inc., Service Practice Circuit
Computational imaging, detection and estimation, Design of network protocols and architectures based on Scientific computing, primarily optimization,
inverse problems, biomedical signal and image a range of computer science principles, mathematical computational chemistry and biology, including ROBERT R. TENNEY
processing techniques, and performance evaluation tools protein and peptide structure determination, protein Former Vice President, BAE Systems Advanced Information
PhD, Massachusetts Institute of Technology, 1991 PhD, University of Maryland at College Park, 1995 engineering, and drug design Technology
PhD, Hungarian Academy of Science, 1983
PRAVIN VARAIYA
ERIC KOLACZYK BOBAK NAZER Professor of Electrical Engineering and Computer Sciences,
Professor of Mathematics and Statistics Associate Professor of ECE University of California, Berkeley
Director of Hariri Institute Information theory, communications, signal
Statistical modeling of instrumental data in temporal, processing, and neuroscience
spatial, and network-indexed contexts PhD, University of California, Berkeley, 2009
PhD, Stanford University, 1994
GRADUATE COMMITTEE POST-DOCS ADMINISTRATION
Hua Wang, Chair PANAGIOTIS ANDRIANESIS PhD, University of Michigan, 2019 CHRISTOS G. CASSANDRAS RUTH MASON ELIZABETH FLAGG, GABRIELLA
Sean Andersson, Calin Belta, Alex Olshevsky, Rebecca Khurshid, Power systems economics, optimization, distributed algorithms Division Head (P17) Division Director ED.M. McNEVIN-MELENDEZ,
Elizabeth Flagg HUA WANG Graduate Programs MS
YIDING JI PhD, University of Michigan, 2019 Manager Communications
Associate Head (P18)
Robotic path planning, autonomous vehicles, multi-agent systems Manager
Community: Affiliated Faculty, Graduate Committee & Post-Docs P19 Community: Affiliated Faculty (Cont.), Administration & Visiting Committee P20RESEARCH PARTNER CISE LECTURES
CENTER FOR INFORMATION & SYSTEMS ENGINEERING (CISE)
Fall 2019 Spring 2020
is an interdepartmental research center focused on deepening and
broadening interdisciplinary research in the study and design of
DR. ANANT SAHAI DR. MAURO SALAZA
intelligent systems. With 49 faculty affiliates across 3 colleges and
UC Berkeley College of Stanford University,
9 departments, CISE researchers advance information and data
Engineering Postdoctoral Scholar
science to solve complex problems in fields such as autonomous
Harmless Interpolation in Learning Optimization for Smart Mobility
systems, robotics, healthcare, information systems, communications,
Systems: From Formula 1 Racing
transportation, energy, and national security. Key research areas
DR. LORENZO ROSASCO to Urban Mobility
include automation, robotics and control; computational biology and
Massachusetts Institute of
medicine; cyber-physical systems; data analytics; energy systems;
Technology DR. SIDHARTH JAGGI
information sciences; networks and smart cities.
Not So Fast: Learning with Chinese University of Hong
Accelerated Optimization Kong
CISE manages grants, offers seed funding, hosts a resident scholar
A Shannon-Style Theory for
program, organizes student events and supports conferences with
DR. DYLAN LOSEY Adversarial Noise Problems: When
government agencies, industries, and engineering societies. The
Stanford University Can One Pack (Exponentially)
center strengthens relationships between faculty and their corporate
Personalizing Robots with Physics Many Copies of a Given Pattern?
partners by running weekly seminars, lectures, workshops, and
and Intelligence
round table events.
DR. STAVROS TRIPAKIS
DR. SASHA RAKHLIN Northeastern University
CISE 2019-2020 FUNDING
Massachusetts Institute of Recent Work in the Science of
Annual expenditures were $7.9 million.
Technology Software and Systems
Is Memorization Compatible with
THE TEAM
Learning? DR. BRIAN LEVINE
Ioannis Paschalidis, Director (P18)
UMass Amherst
Christina Polyzos, Associate Director
DR. CATHY WU The Role of Darknets in Internet
Maureen Stanton, Center Administrator
Massachusetts Institute of based Crimes Against Children
Technology
Integrating Autonomy into Urban MINI CISE SEMINAR/
Systems WORKSHOP
IBM/Red Hat
DR. MICHAEL CHERTKOV BU Cloud Computing Workshop
University of Arizona, Tucson with IBM Research
SE & CISE PARTNERSHIP Interpretable & Tractable
Machine Learning for Natural and DR. YASAMAN KHAZAENI
31 professors associated with both SE and CISE. Engineering Sciences IBM Cambridge
21 events were organized by CISE for the joint communities Bayesian Nonparametric Fusion of
this year. DR. KONSTANTINOS N. Heterogeneous Models
PLATANIOTIS
University of Toronto DR. NESS SHROFF
Image Processing and Machine The Ohio State University
Learning for Histopathology and Rescheduled for Fall 2020
Radiomics
DR. MERT GÜRBÜZBALABAN
DR. HENRY LAM Rutgers University
Columbia University Rescheduled for Fall 2020
Efficient Uncertainty
Quantification in Simulation DR. CLAYTON SCOTT
Analysis University of Michigan, CISE
Visiting Scholar
DAVID LINDELL Rescheduled for Spring 2021
Stanford University, PhD
Candidate DR. RAADHAKRISHNAN
Computational Imaging with POOVENDRAN
Single-Photon Detectors University of Washington
Rescheduled for Fall 2020
DR. OLEG SOKOLSKY DR. MARCO PAVONE
University of Pennsylvania Stanford University
Checkpoint-Based Cyber-Physical Rescheduled for Fall 2020
Recovery
Community: Partnering Research Center P21 Community: Partner Events P22$5.5M
ROBOTICS & AUTONOMOUS SYSTEMS
Ioannis Paschalidis (PI), John Baillieul and Roberto Tron are developing
robots that learn on-the-fly to adapt to their surroundings. Recently published
student results in PLOS Computational Biology (P8).
New grant
$2M
HEALTHCARE
Calin Belta and industry partners are coaxing STEM cells to form new
arrangements and eventually generate personalized organs. A study in which
the team revealed new ways to engineer cells was published in Cell Systems.
$1M
ENERGY
Janusz Konrad (PI), Prakash Ishwar, Thomas Little and Michael Gevelber
are developing next-generation people-counting sensors for HVAC systems.
The team has published one patent and four papers (P3).
$200K
SMART CITIES & TRANSPORTATION
Christos Cassandras is optimizing and securing cloud-supported automated
vehicle coordination. Alum Yue Zhang co-authored a paper in Automatica
with an optimal control framework solution. Zhang completed her PhD in
2019 and now works at Facebook as a research scientist (P15).
$5M
New grant
INFORMATION SYSTEMS
Azer Bestavoros and Orran Krieger (PI) are developing the Massachusetts
Open Cloud (MOC) for free public use. MOC recently pivoted to offer Cloud
service support to those fighting COVID-19 including hospitals (P3).
PIVOTING FOR COVID-19
A team of researchers analyzed Mexico and Brazil’s national COVID-19
patient data, and found disproportionate patient health impacts throughout
the countries. To help government officials predict the health-risk of their
residents, Christos Cassandras, Ioannis Paschalidis and SE PhD candidate
Salomón Wollenstein-Betech examined the role of preexisting health
2019-2020 Annual Report conditions and socioeconomics factors in predicting outcomes for COVID-19
BU.EDU/SE
patients.
The team established a method to identify patients at higher-risk of severe
COVID-19 disease that may require hospitalization, ICU treatment and
mechanical ventilation. The findings were published in the International
Journal of Medical Informatics and in PLOS ONE.
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