Impulse Magazine fall 2017

Page 1

Industrial and Management Systems Engineering

Annual News Magazine

In this Issue:

Issue 4 — Fall 2017

INFORMS and IISE Student Chapters receive Highest Awards Analytics yields better care for the aging population

Page 10

Page 4

Multi-Objective Optimization solving real world problems

Page 7

Message from the IMSE Chair Dear Alumni, Friends, and Students, You will be pleased to know that USF is on the verge of being declared a preeminent university in the State of Florida. This impending status further emboldens us to seek what we think as our rightful place among the members of the Association of American Universities (AAU). The college of engineering has produced student success as well as research productivity measures that have outpaced our goals. The college along with the university has embarked on a world class faculty hiring program. A new Institute for Applied Engineering (IAE) is being established, which will allow college faculty and students to engage in solving problems arising in industry and government functions. All in all, it’s an exciting time at USF as we establish ourselves as a dominant force in the state, nation, and the world. In IMSE, our reputation and USNWR rankings are better than ever. We continue to attract the brightest in our faculty ranks. We have added five new faculty in the last three years and are poised to add two more in 2018. Our goal is to reach a critical faculty strength of 20 or more. This will increase our research strength and diversity as well as improve the variety of class offerings and studentto-teacher ratio.

INFORMS (The Institute for Operations Research and the Management Sciences) are perched at the top with Gold and Summa Cum Laude awards, respectively, year after year. Finally, I would be remiss if I did not express my heartfelt gratitude for your financial support for your alma mater. I will reiterate, it is not how much you give, but what matters most is that you give. I wish you the very best of success and happiness in your profession and family. Most sincerely,

Tapas K. Das Professor and Chair

We have started many new awards and initiatives to challenge, motivate, and train our students. New awards include, best graduate award, outstanding leadership award, outstanding community engagement award, most innovative capstone project award, best industry consortium project award, and most innovative teaching assistant award. Department is offering generous support for our students to seek six sigma training through IISE.

To donate to the IMSE Annual Fund, please go to the following website: imse/give-to-imse/

We have implemented a thorough writing training program for our doctoral students. Our students chapters of IISE (Institute of Industrial and Systems Engineers) and 2


Introducing New IMSE Faculty Dr. Devashish Das, Assistant Professor Devashish Das joins us from the Information and Decision Engineering group of Mayo Clinic in Rochester, Minnesota, where he spent two years as a post-doctoral research associate. His research interests are in applied statistics and applied probability with a focus on advancing the science of health care delivery. Some of his current research focuses on improving patient care in hospital emergency rooms and optimizing blood transfusion in trauma patients. Devashish received his Industrial Engineering from the University of Wisconsin, Madison in June 2015 and his Bachelors from the Indian Institute of Technology, Kharagpur in July 2010. Dr. Das is well published in peer reviewed journals like IIE/IISE Transactions, Interfaces, IJPR, Quality Reliability Engineering International, and IEEE Transactions. Besides continuing his research, this semester he is teaching Statistical Design Models. He is certainly enjoying the warm and sunny weather of Florida after enduring several harsh winters in past years.

Dr. Walter Silva, Instructor Walter Silva received his PhD in Industrial Engineering from University of South Florida in 2017 and was unanimously chosen by IMSE faculty to join their rank as an Instructor. Dr. Silva brought with him years of teaching experience on a variety of subjects from Pontificia Universidad Católica del Perú. His teaching expertise includes data analytics, computer simulation, and database systems, among others. His current research is in developing agent-based simulation models of influenza pandemic outbreaks, estimating disease burden, and assessing efficacy of intervention techniques. He has published in BMC Public Health and Energy Conversion and Management. His broader research interest is in big data analytics with applications in industry. Before receiving his PhD degree, he received a Maitrise degree in Sciences and Technologies (2006) and a M.S. degree in Mathematics for making decision (2007) both from Université d’Orléans (France). Dr. Silva, his wife, and two kids are loving Tampa as their longer term home.

Major stories in this news magazine are written by Randy Fillmore. Impulse


Featured Faculty Research

Charting the Course of Care for Aging Population We need to develop a customized, proactive and cost effective long-term care system to meet the heterogeneous needs of an aging population. - Mingyang Li, PhD

Ming Yang Li, PhD Assistant Professor

While we all age, it should be no surprise that just as we have all lived differently and uniquely, we age as we have lived – each in our own way, with our own abilities, disabilities and needs. Knowing that, how can we anticipate and meet the heterogeneous needs of an aging American population known as “The Baby Boomers” who, just by their sheer numbers, have changed national demographics for each of the 70 plus years following World War Two? That is the question posed by Mingyang Li, PhD, assistant professor in the Department of Industrial and Management Systems Engineering (IMSE). While it is a difficult and multi-faceted question, his current research, in collaboration with the School of Aging Studies at USF, aims at getting answers.



“Age-related disabilities are multi-functional

“The disabilities that accompany aging, bringing

degradations and losses for the elderly who may

challenges to the LTC system whether people are aging

suffer from multiple chronic diseases, injuries and

at home, in assisted living facilities, or in nursing

impairments,” explains Li. “Our goal has been to

homes,” says Li. “The disabilities are both cognitive

create a systematic, analytical framework for disability

and physical, and the problems people face in aging

progression modeling and long-term care (LTC) service

are more complex than we see in the degradation


of products,” says Li. “We need comprehensive and collaborative planning for their care. Neglecting

Li and his colleagues recently built a systematic,

the heterogeneity of needs may result in negative

innovative and data-driven methodological framework

consequences for care providers and for care

to better understand, characterize and quantify


functional performance degradation of the elderly. The model will better predict service demands and make

Li’s research interests are in data science and system

better LTC decisions. The ultimate goal, says Li, is to

informatics with applications in a variety of areas,

help establish a more sustainable LTC system with

including product reliability, studying how and why

improved health care delivery and quality of care, a

products fail or degrade. After joining the IMSE

system to cope with the wave of elderly that will seem

department, Li became interested in aging health and

like a tsunami.

LTC. The LTC system itself, he explains, is complex , as is the aging process of its users, and his expertise in Impulse


data-driven modeling and analysis

and Kathryn Hyer, PhD, professor

accounts for parameter space with

could offer insight into those

and director of the Florida Policy

infinite dimensions and a great

complexities and also facilitate

Exchange Center on Aging. The

number of complex variables.

evidence-based decision making.

research team identified three sub-

Li expects that their proposed

populations, with high, median and

methodological framework will

Li earned his Bachelor of Science

low levels of cognitive degradation

facilitate LTC policy makers and

in Control Science and Engineering

for a representative sample of the

administrators to better project

2008 from Huazhong University of

U.S. community-dwelling elderly.

LTC demand and develop more

Science and Technology, China. He

Within each sub-population,

proactive, targeted and adaptive

has two master’s degrees, a Master of

individual degradation heterogeneity

LTC preparedness service delivery

Science in Mechanical and Industrial

is further investigated and explained


Engineering from the University

with different factors, such as

of Iowa (2010) and a Master of

socioeconomic status, health

Li, in this research, is assisted by

Science in Statistics (2013) from

conditions and LTC service support.

two graduate students, Nazmus

the University of Arizona. He also

“We have developed an innovative

Sakib and Xuxue Sun, who focus on

earned his PhD from the University

non-parametric Bayesian model and

individual level and sub-population

of Arizona in 2015.

estimation algorithm,” Li explains.

level modeling, respectively.

“The proposed framework is capable

This work was supported in part

Dr. Li’s research effort is

of characterizing degradation

by University of South Florida’s

collaborative and includes two

heterogeneity at both sub-population

Research & Innovation Internal

researchers from the USF School

and individual levels.”

Awards Program under Grant No.

of Aging Studies, Hongdao Meng, M.P.H., Ph.D. associate professor,



0114783. Bayesian semi-parametric modeling

Featured Faculty Research

Multi-Objective Optimization is Solving Complex Real World Problems Hadi Charkhgard, PhD, Assistant Professor.


roblems faced by businesses and society rarely

“I am interested in solving challenging, real-

have a single objective. Remedy? Multi-objective

world optimization problems,” says Charkhgard,


a mathematician and engineer who specializes in operations research.

How can we better use radiation therapy to destroy a cancerous tumor, yet save a patient’s surrounding

Many real world-problems, says Charkhgard,

healthy tissue? How can the Florida Everglades

have multiple objectives that are in conflict with

be freed of the invasive Burmese pythons that are

each other, such as maximizing efficiencies while

destroying other wildlife? How can autonomous

minimizing costs. Since a feasible solution that can

vehicles for ride sharing be positioned to minimize

simultaneously optimize all objectives often does

customer dissatisfaction and company costs, yet

not exist, decision-makers want to explore and

maximize efficiency? How can clusters of buildings

understand the trade-offs between objectives

share energy storage and costs fairly? If a dangerous

before choosing a suitable solution.

virus threatens a large population, how can we determine who needs to be isolated to keep the virus

Charkhgard, who is eager to collaborate with

from spreading?

those in business and industry, has developed algorithms for multi-objective integer programming

Dr. Hadi Charkhgard and his PhD students have been

and problem solving and has posted them on his

spending most of their waking hours in the Multi-


Objective Optimization Laboratory seeking answers to the above questions.



Six of 6,000 Charkhgard received his Bachelor of Science degree in

Now fully devoted to a career in applied mathematics,

Industrial Engineering in 2009 from Shomal University

Charkhgard entered Australia’s University of Newcastle’s

in Mazandaran, Iran. To get his master’s degree he had

School of Mathematical and Physical Sciences. He

to take a national examination with over 6,000 industrial

earned his PhD in operations research in 2015 with a

engineering graduate student participants.

dissertation that offered new theoretical and algorithmic results for generating the non-dominated frontier of multi-

Not only did he do well on the national exam, his scores

objective integer programs. He then completed a post-doc

put him sixth out of 6,000 exam takers and allowed him

at Georgia Tech, in Atlanta, in 2016.

to enter prestigious Sharif University of Technology in Tehran, Iran.

Invasive Species Control Soon after his arrival at USF in 2016, Charkhgard began working with the U.S. Geological Survey (USGS) helping to solve problems related to conservation planning. One problem is the huge population of Burmese pythons, an invasive species, in the Florida Everglades. The monster snakes, having reduced the population of small mammals by more than 90 percent, are difficult to locate. Burmese Python

Basic mathematical notation used for invasive species control



According to Charkhgard, optimization methods have

populations is sparse, hard to collect and unreliable at

been used before in conservation problems including

best,” explains Charkhgard. “We have proposed a robust

reserve selection, reserve design, landscape fragmentation,

optimization approach to select the best subset of the

forest management, control of invasive species, protection

parcels of land for removing the snakes and conducted

of genetic diversity and wildlife control. Using robust

a computational study to demonstrate the efficacy of our

optimization, planning for invasive species control could

approach, which is aimed at giving conservation managers

be made more efficacious.

the possibility to visualize how much uncertainty can be handled for a given budget. The approach can protect

“The data related to size, growth and diffusion of wildlife

decisions makers against the worst outcomes.”

Helping Autonomous Vehicles “Find” Their Perfect Place

Ride sharing has emerged as an important feature of 21st

between stations to serve future demands is a problem,

century urban life. Concomitant with that emergence is

but one that multi-objective optimization can solve.

the equally important and revolutionary appearance of autonomous (driverless) vehicles. How can autonomous,

“We have developed a bi-objective mixed integer linear

ride-sharing vehicles be best positioned is a question

programming formulation for the deterministic version


of the problem, using chance-constraint programming to incorporate travel time uncertainty, and presented two

According to Charkhgard, when the car sharing business

new mixed integer linear programming reformulations.”

model combines with the technology of autonomous vehicles, responsive, fast-paced and time-sensitive repositioning becomes crucial. Repositioning vehicles



INFORMS 2017 Conference, Houston Texas

INFORMS and IISE Student Chapters Continue To Receive Highest Awards INFORMS student chapter at USF is once again

A large cadre of chapter members was on hand to

selected to receive the Summa Cum Laude award in

receive and celebrate this award at the INFORMS

2017 by The Institute for Operations Research and the

Annual Meeting in Houston, Texas on October 23rd,

Management Sciences (INFORMS). This will be the fifth

2017. Congratulations to the INFORMS USF Chapter.

Summa Cum Laude award for the USF chapter in the last seven years. Impressive!

Hearty congratulations for our members of the Student Chapter of the Institute of Industrial and Systems

Among 60 chapters within the United States, USF

Engineers (IISE) for winning the GOLD Award, four

INFORMS chapter, in the department of Industrial and

years in a row. The faculty at the University of South

Management Systems Engineering, was one of the two

Florida, IMSE department, is overjoyed with pride and

selected to hold this prestigious honor. “Our students

looks forward to the innovative endeavors INFORMS

have consistently proven themselves to be an active,

and IISE chapters will engage in the coming years.

influential, and leading group within the INFORMS

Go Bulls!

community, and beyond,� said Professor Zayas-Castro, the chapter advisor.



Dr. Kingsley Reeves,

Associate Professor &

Undergraduate Director

Dr. Reeves Receives “IMSE Professor of the Year” Award from the IISE Chapter

By Jessica VanderVelde

In 2017 the USF Student Chapter of the Institute of

“I was humbled as well as delighted receiving this

Industrial and Systems Engineers (IISE) reinstituted

significant recognition from our students. To be chosen,

the ‘Professor of the Year” award and chose to bestow

especially from among the IMSE colleagues many

this honor to Dr. Kingsley Reeves, Associate Professor

of whom are great teachers and mentors, was very

and Director of the Undergraduate Program. As the

exciting,” said Dr. Reeves. In an otherwise sparsely

process garnered feedback from IISE chapter members,

adorned office, the award is prominently displayed on

Dr. Reeves was showered with accolades from IE

his desk.

students. The comments included “Dr. Reeves was such a great help through my experience here at USF. I greatly appreciate all he does for the students. I truly believe he deserves this award.” “Dr Reeves gives us engineering students life!”



IMSE Graduate Selected to be the Outstanding Graduate of the USF System


arrett Bowleg, an award-winning

group’s director of organizational advancement,

international student who received her

she spearheaded new recruitment initiatives that

bachelor degree in industrial engineering was the

led to a record-setting number of applicants for

University of South Florida System’s Outstanding

the 2017-18 school year.

Graduate for summer 2017. She also served for three years as a member of A leader and volunteer on campus and off, she

Lead Fellows for the Center for Leadership and

says she looked for opportunities at USF to gain

Civic Engagement where, as engagement and

and hone the skills she’ll need to effectively

programming coordinator, she led efforts to plan

encourage Bahamian girls to pursue STEM

a leadership conference and surrounding events.

careers. That included volunteering with Invent

She received the organization’s Values Award for

It. Build It., a program of the non-profit Society

Empowerment as well as the Learn. Serve.Lead.

of Women Engineers that gives girls engineering

Award at USF’s Celebration of Leadership.

experiences and support. Her plans include bringing that program home to the Bahamas.

In the meantime, Bowleg amassed more than 250 volunteer hours at the American Cancer Society’s

I came to USF with a goal to someday serve as a female role model in the STEM field for young girls in my home country

- Garrett Bowleg

Hope Lodge, where she helped out with game nights, potlucks and other events. Bowleg has joined Emerson, a global diversified technology and engineering company. The faculty and staff of the Industrial and Management Systems Engineering Department

“I came to USF with a goal to someday serve

couldn’t be happier for Garrett and all her

as a female role model in the STEM field for

accomplishments. Go Garrett!

young girls in my home country,” Bowleg says. “I quickly realized that this university would provide a space for me to become that role model and so much more.” Garrett maintained an overall grade-point average of 3.53 while participating in several student organizations. As a member of the USF Ambassadors, she was one of a select group of students chosen to represent the university on campus and in the community while gaining leadership, organizational and other skills. As the






NIH Grant for $1.5 Million Helps “Forge a PATH” for Reducing HIV Transmission “Model-based analyses of disease prevention strategies

awarded a five-year, $1.5million RO1 grant from the

can help public health officials make better resource

National Institutes of Health to develop an agent-

allocation decisions,” says Chaitra Gopalappa, PhD,

based, decision-analytic model called “Progression

assistant professor of industrial engineering and

and Transmission of HIV/AIDS” (PATH). The grant is

director of the Disease Prediction and Prevention Lab

for developing dynamic evaluations of portfolio of

(DPPL) at the University of Massachusetts Amherst.

interventions for HIV prevention in the U.S.

“At DPPL, we work on developing new methodologies

“HIV transmission is the result of complex dynamics

and computational models for simulating the dynamics

in risk behaviors, such as partner choices and

of disease incidence and spread,” says Gopalappa.

disease stage along the HIV care continuum,” she

“By doing so, we hope to facilitate better disease

explains. “Capturing these dynamics and simulating

prediction, and analyses of prevention, and control

interacting interventions in combination are important


for identifying effective strategies to reduce new

The 2010 recipient of a PhD from the University


of South Florida’s department of Industrial and Management Systems Engineering has recently been



The main expected outcome of this research grant is to

Dr. Chaitra Gopalappa, Assistant Professor at University of Massachusetts Amherst

help develop a national strategic plan

fellowship after her graduation, she had

for incidence reduction in the U.S. In

her vision set. I am delighted that her

this work she will also work closely

vision is becoming a reality,” Dr. Das

with the U.S. Centers for Disease


Control and Prevention (CDC). Her lab also works closely with the She admits that as a young student with

World Health Organization (WHO)

intellectual interests in engineering,

on improving cancer screening and

math and physics, she never envisioned

diagnoses in poorer nations. Working

an engineering career touching on

with WHO, she and her colleagues are

public health, though her childhood

developing models for cancer screening

passion was to work for United Nations

and prevention for regions of the world

organizations such as the World Health

where cancer is diagnosed mostly in its

Organization (WHO) and the United

late stages and survival rates are low.

Nations Children’s Fund (UNICEF).

That work is currently going forward in Peru, Zambia and Vietnam.

Earning both her master’s degree and PhD at USF, Gopalappa credits her

mentor, Dr. Tapas Das, for showing

her the “path” toward applying her knowledge to public health. “When Chaitra declined to take tenure track job offer at a top research university and instead joined CDC for a 2-year

12 15 Impulse







Dr. Diego Martinez, Johns Hopkins, Assistant Professor

Improving Health Outcomes at Johns Hopkins Through Industrial Engineering Baltimore, Maryland, nicknamed “Charm City,” is home to

“When I came to USF in 2010 I had no idea that - as

one of the world’s most renowned hospitals - Johns Hopkins.

an engineer - I would one day be working to improve

Its emergency department (ED), one of nation’s busiest,

healthcare,” recalls Martinez, who hails from Chile. “That

in the School of Medicine, is where Dr. Diego Martinez

systems engineering could improve healthcare was not

joined as an assistant professor. The key responsibility of Dr.

something on my ‘radar.’”

Martinez, who received his Ph.D. in Industrial Engineering from the University of South Florida in 2015, is “operations

However, when his mentor, Dr. José Zayas-Castro suggested

integration” at the hospital.

he work in healthcare, Martinez soon realized how his knowledge and experience could help improve healthcare



delivery systems by working at the system’s deepest

day operations in the ED.”

level – data. Martinez and his colleagues work on two major “Once Diego develop the interest and saw the

issues - evidence-based hospital management and

opportunities, he started to become “bilingual” in

clinical decision support systems. Their hands-

the intersection of health and industrial systems

on work includes developing and using data-

engineering,” recalls Zayas-Castro.

enabled science to provide “precision medicine” by deploying healthcare analytics and identifying

He developed an ability to identify and generate impactful research ideas aimed at improving the delivery of healthcare. - Jose Zayas-Castro, PhD

patient and hospital factors that can help reduce preventable readmissions to the hospital. “Having electronic medical records means that there is a large volume of data just waiting for us,” explains Martinez, who marvels at the complexity of the healthcare system with its many moving parts and intricate dynamics. He says he spends much of his time getting better understandings of

His area is “health systems engineering,” which,

what clinicians need and want, collaborating, and

he says, approaches the healthcare industry as

formulating new and challenging questions.

a complex, adaptive system. His work aims at

Martinez, his wife, Diana, and their newborn son,

improving the value of healthcare delivery by

Javier, live in an old, revitalized neighborhood on

applying systems engineering principles.

the Baltimore waterfront not far from the hospital.

“I do health informatics research and build computational and mathematical tools to help healthcare delivery be more effective and efficacious,” says Martinez. “My group turns raw data into clinically useful tools to improve day-to-







2004 Grad Brandon Faulkner Makes ‘Partner’ at Holland & Knight LLP with the company’s design department, was responsible for manufacturing aspects of missile guidance systems. When a missile failed, he was assigned the task of leading the investigation into why the missile failed. When he presented the findings to a U.S. Navy commander and to Boeing, he was 22-years-old. “It was almost like a product liability case,” reflects Faulkner, who graduated from USF in 2004. “I didn’t know anything about the legal issues at the time, but the process fascinated me and I enjoyed the experience.’ Big responsibilities never bothered him. As an undergraduate, he served as President of Alpha Pi Mu, the Industrial Engineering Honor Society, worked to improve public school science curriculum as a National Science

Brandon Faulkner, BSIE, JD

Foundation Fellow, completed an honors thesis in facilities planning for an entrepreneurial biotechnology company,

From his student days at the University of South Florida’s

and graduated first in his class, receiving the Outstanding

College of Engineering, to being made a partner at

Graduate Award.

the prestigious law firm of Holland & Knight, Brandon Faulkner’s career path has spanned 12 years. Not very long,

The years following his graduation saw changes in the

as career paths go. But the road was one of twists and turns,

national economy, business, and industry. Faced with

hard work, difficult decisions, and many successes.

several career options, he thought his engineering degree and experience, coupled with a law degree, would be

“As an undergraduate at USF, I started interning at

a useful combination. He began studies at University of

Honeywell International,” recalls Faulkner. “After

Florida’s law school in 2006. He earned his law degree in

graduation, I continued working there and rose to being the

two years rather than three, graduating in 2008.

lead engineer on the production floor.”


He worked as an advanced manufacturing engineer,

His training in engineering helped him not only in law

managing the production of integrated electronic guidance

school, but also afterward, says Faulkner who, when at

and navigation systems for the defense industry and, liaising

USF, worked closely with Dr. Tapas Das and Dr. Grisselle


Centeno. “Dr. Das was a great influence because

Knight in 2008 and, in 2016, his first year of eligibility,

he stressed the value of continual learning and self-

he was named partner. Today, he advocates on behalf of

improvement, important both in engineering and law,”

clients in disputes and class actions relating to product

says Faulkner.

liability, intellectual property, trade secrets, contracts, business torts, fraud and fraudulent trade practices,

Substantively, the industrial engineering curriculum

corporate governance, and fiduciary duties. He and his

compliments his legal acumen. “Human factors are

wife, Melissa, and their two children, live on Davis Islands.

important both in manufacturing and in legal cases, especially those cases involving products liability,” he explains. Happy to give back, Faulkner currently serves on the Industrial and Management Systems Engineering Department Advisory Board. He joined Holland and

Vignesh Subramanian receives the 2017 Innovative Teaching Assistant Award Being the first recipient of a newly

power systems engineering. Ever since

instituted award in the department to

arriving at USF, Vignesh pressed himself

promote innovation among teaching

to supporting the faculty in teaching. He

assistants, Vignesh was most delighted

has been assisting in classes like design

with this recognition by the faculty.

of experiments and probability and

“Applying for this award itself was an

statistics for engineers. His diligence,

opportunity to critically reexamine my

dedication, and, above all, his innovative

existing approach to teaching, and when

ideas to improve the learning experiences

I received the news of being selected

of the undergraduate students earned

for the award it propelled me further towards innovating

him the coveted recognition. Vignesh’s research interest

ideas for success of our students,” Vignesh commented.

is in developing new model driven strategies for pricing and demand response for electricity as well as increasing

Vignesh grew up in Tamil Nadu, India. After finishing

resilience of electric networks for smart and connected

his bachelor’s degree in electrical engineering from


Anna University, Chennai he went to the Indian Institute of Technology, Delhi to receive his master’s degree in



2017 Senior Awards Banquet: A Moment to Rejoice and Reminisce the Journey During the evening of May 4th, a remarkable group of soon-to-be alumni (BSIE Class of 2017) came together to celebrate their success and reminisce about their academic journey. It gave the students an opportunity to meet with staff and professors to discuss things besides the usual: forms, petitions, and grades. The students were already thinking past those seemingly mundane things and were looking forward to their profession and bright futures. The food, live music, and happy faces all seemed to blend together into making the Senior Awards Banquet an evening to remember. Dr. Tapas Das, Department Chair, took the stage and reinforced the fact that the BSIE Class of 2017 were ready to compete and secure their place in the engineering profession. The master of ceremonies, Dr. Kingsley Reeves, director of the undergraduate program, had the privilege of announcing the 2017 award winners, whom he called to the podium to receive their awards. Awardees were greeted by noted alumna Cindy Amor ’88, who herself was the recipient of the ‘Outstanding Graduate Award’ and is the current chair of the IMSE Advisory Board. Interesting stories of their lives, their convictions and advice to their peers, as the award winners addressed the group, echoed in the room and made the awards banquet evening a memorable one.

Outstanding BSIE Graduate

Outstanding Leadership Award

Fall 2016 Brittany Mott

BSIE 2017 Brandon Rist

Outstanding BSIE Graduate Spring 2017 Kristen Ahlberg

Outstanding Community Engagement Award BSIE 2017 Amy Crites

Outstanding BSIE Graduate Spring 2017 Di Li



Outstanding Community Engagement Award BSIE 2017 Daniel Guzman-Ramos

Teaching Innovation Award 2016-2017 Vignesh Subramanian

Best Industry Consortium Project Award 2017 From Left to Right: Dr. Kingsley Reeves, Cindy Amor (IMSE Advisor Board Chair), Yogi Vasisht Vummethala, Arpitha Sathish, Valentina Cerruty Villalba, Danielle Nendza, Mohammed Parvez & Dr. Tapas Das.

Best Capstone Project Award BSIE 2017 From Left to Right: Dr. Kingsley Reeves, Can Olcer (student winner), Di Li (student winner), Tyler Johnson (student winner), Cindy Amor (IMSE Advisory Board Chair) & Dr. Tapas Das.



2016-17 IMSE Faculty Publications in Refereed Journals (* indicates IMSE PhD student/graduate) *Serkan Gunpinar, and G. Centeno. “An integer programming approach to the bloodmobile routing problem” Transportation Research Part E: Logistics and Transportation Review, V.86, pp. 94-115, 2016 Charkhgard, H., Savelsbergh, M., Talebian, M., 2017, A Linear Programming Based Algorithm to Solve a Class of Optimization Problems with a Multi-linear Objective Function and Affine Constraints”. Computers & Operations research, 89: 17-30. Charkhgard, H., Savelsbergh, M., Talebian, M., 2017, Computing the Non-dominated Nash Points of a Normal Form Game with Two Players. A Quarterly Journal of Operations Research, available online. Boland, N., Charkhgard, H., Savelsbergh, M., 2017, The Quadrant Shrinking Method: A simple and e_cient algorithm for solving tri-objective integer programs. European Journal of Operational Research, 260 (3): 873-885.

*Feijoo, F., *Silva Sotillo, W., and Das, T. K. 2016. A Computationally Efficient Electricity Price Forecasting Model for Real time Energy Markets. Energy Conversion and Management 113 (2016) 27–35. *Prieto, D. and Das, T. K., 2016, An operational epidemiological model for calibrating simula-tions of pandemic influenza outbreaks, Health Care Manag Sci, Vol. 19, Issue 1, pp. 1–19. Toumazis, I., M. Kurt, A. Toumazi, L. Karakosta, C. Kwon, 2017, Comparative Effectiveness of Up-to-Three Lines of Chemotherapy Treatment Plans for Metastatic Colorectal Cancer, To appear in Medical Decision Making. Chung, B.D., S. Park, C. Kwon, 2017, Equitable Distribution of Recharging Stations for Electric Vehicles, To appear in Socio-Economic Planning Science.

Boland, N., Charkhgard, H., Savelsbergh, M., 2017, A New Method for Optimizing a Linear Function over the Efficient Set of a Multiobjective Integer Program. European Journal of Operational Research, 260 (3): 904-9019.

Zhang, A., J.E. Kang, C. Kwon, 2017, Incorporating Demand Dynamics in Multi-Period Capacitated Fast-charging Location Planning for Electric Vehicles, To appear in Transportation Research Part B: Methodological.

Boland, N., Charkhgard, H., Savelsbergh, M., 2016, The L-Shape Search Method for Triobjective Integer Programming. Mathematical Programming Computation, 8(2):217-251.

Ahmed, M.T., J. Zhuang and C. Kwon, 2017, Understanding Conflicting Interests of a Government and a Tobacco Manufacturer: A Game-Theoretic Approach”, To appear in Group Decision and Negotiation.

Charkhgard, P., Esmaeilbeigi, R., Charkhgard, H., 2016, Order Acceptance and Scheduling Problem in Two-machine Flow Shops: New Mixed Integer Programming Formulations. European Journal of Operational Research, 261(2):419-431.


*Ghalebani, A. and Das, T. K. 2017. Design of Financial Incentive Programs to Promote Net Zero Energy Buildings. IEEE Transactions on Power Systems, 32, 1.

Sun, L., M. Karwan, C. Kwon, 2017, Generalized Bounded Rationality and Robust Multi-Commodity Network Design”, To appear in Operations Research.

Das, D., and Zhou, S., 2017, Estimating Discrete Maximum Entropy Distributions and its application in Monitoring Categorical Data, IISE Transactions, 49(8), pp. 827-837. (Selected as feature article in IISE Magazine)

Taslimi, M., R. Batta, C. Kwon, 2017, A Comprehensive Modeling Framework for Hazmat Network Design, Hazmat Response Team Location, and Equity of Risk, Computers and Operations Research, 79, 119–130.

Sir, M. Y., Nestler, D., Hellmich, T., Das, D., Laughlin, M., Dohlman, M., Pasupathy, K.S., 2017, Optimization of Multidisciplinary Staffing Improves Patient Experiences at the Mayo Clinic, Interfaces 47 (5), 425-441.

Li, X., R. Batta, C. Kwon, 2017, Effective and Equitable Supply of Gasoline to Impacted Areas in the Aftermath of a Natural Disaster, Socio-Economic Planning Sciences, 57, 25–34.

Das, D., Chen, Y., Zhou, S. and Sievenppiper, C., 2016, Monitoring multiple binary data stream using a hierarchical model structure. Quality Reliability Engineering International, vol. 32(4), pp. 1307-1319.

Chung, S. H. and C. Kwon , 2016, Integrated Supply Chain Management for Perishable Products: Dynamics and Oligopolistic Competition Perspectives with Application to Pharmaceuticals, International Journal of Production Economics, 179, 117–129.

*Silva Sotillo W., Das, T. K., and Izurieta, R. 2017. Estimating Disease Burden of a Potential A(H7N9) Pandemic Influenza Outbreak in the United States. To appear in BMC Public Health.

Esfandeh, T., R. Batta, and C. Kwon, “TimeDependent Hazardous-materials Network Design Problem”, Transportation Science. Accepted.


Kumar, A. A., J. E. Kang, C. Kwon, and A. Nikolaev, 2016, Inferring Origin-Destination Pairs and Utility-Based Travel Preferences for Shared Mobility Systems Users in a MultiModal Environment, Transportation Research Part B: Methodological, 91, 270–291. Sun, L., M. H. Karwan, C. Kwon, 2016, Implications of Cost Equity Consideration in Hazmat Network Design, Transportation Research Record: Journal of the Transportation Research Board, No. 2567, Transportation Research Board, Washington, D.C., 2016, pp. 67–77. Esfandeh, T., C. Kwon, R. Batta, 2016, Regulating Hazardous Materials Transportation by Dual Toll Pricing, Transportation Research Part B: Methodological, 83, 20–35. Sun, L., M. Karwan, and C. Kwon, 2016, Incorporating Driver Behaviors in Network Design Problems: Challenges and Opportunities, Transport Reviews, 36(4), 454–478. Sun, L., M. Karwan, and C. Kwon, 2016, Robust Hazmat Network Design Problems Considering Risk Uncertainty, Transportation Science, 50(4), 1188–1203. Toumazis, I. and C. Kwon, 2016, Worst-case Conditional Value-at-Risk Minimization for Hazardous Materials Transportation, Transportation Science, 50(4), 1174–1187. C. Kwon, 2016, Julia Programming for Operations Research: A Primer on Computing, 7.5” x 9.25”. 246 pages. ISBN-10: 153332879X, ISBN-13: 978-1533328793. *Onal, S., Chen, X., Lai-Yuen, S., and Hart, S., 2017, Automatic Vertebra Segmentation on Dynamic MRI, To appear in SPIE Journal of Medical Imaging. *Nekooeimehr, I., and Lai-Yuen, S. 2016, Cluster-based Weighted Oversampling for Ordinal Regression (CWOS-Ord), Neurocomputing, 218, pp. 51-60. *Herrera, M., Piegl, L., Lai-Yuen, S., and Zhang, X. 2016, A Knowledge Management System for Integrating Western and Traditional Chinese Medicine for Relational Diagnosis, Journal of Engineering in Medicine, pp. 1-13. *N. Sakib, *X. Sun, N. Kong, H. Meng and Li, M., 2017, Bi-level Heterogeneity Modeling of Functional Performance Degradation for the Aging Population, IISE Transactions on Healthcare Systems Engineering, Vol. 7, No. 3, pp. 156-167. (Selected as feature article in ISE Magazine) *Chen, S., Lu, L. and Li, M. 2017, Multi-state Reliability Demonstration Tests, Quality Engineering, Vol. 29, No. 3, pp. 431-445.

Li, M., Meng, H., and Zhang, Q., 2017, A Nonparametric Bayesian Modeling Approach for Heterogeneous Lifetime Data with Covariates, Reliability Engineering & System Safety, Vol. 167, pp. 95-104, 2017. Li, M., Guo, H., Zhang, W., and Liu, J., 2017, Designing System Reliability Demonstration Test with Multi-level Information Aggregation and Risk Evaluation, IEEE Transaction on Reliability, Vol. 66, No. 1, pp. 135-147. Li, M., Han, J. and Liu, J., 2017, Bayesian Nonparametric Modeling of Heterogeneous Time-to-event Data with an Unknown Number of Sub-populations, IISE Transaction, Vol. 49, No. 5, pp. 481-492. Lu, L., Li, M., and Christine, A., 2016, Multiple Objective Optimization in Reliability Demonstration Test, Journal of Quality Technology, Vol. 48, No. 4, pp. 1-18. Li, M., and Liu, J., 2016, Bayesian Hazard Modeling based on Lifetime Data with Latent Heterogeneity, Reliability Engineering & System Safety, Vol. 145, pp. 183-189. *Cimenler, O., Reeves, K. A., and Skvoretz, J., 2016, A Structural Equation Model to Test the Impact of Researchers’ Individual Innovativeness on Their Collaborative Outputs. Journal of Modeling in Management, Vol. 11, Issue 2, pp. 585-611. VandeWeerd, C., Myers, J., Coulter, M., Yalcin, A., and Corvin, J., 2016, Positives and negatives of online dating according to women 50+. Journal of Women and Aging, 28 (3), 259-270. *Martinez D. A., Feijoo F., Zayas-Castro J. L, Das T. K., and Levin S., 2016, A strategic gaming model for health information exchange markets. Health Care Management Science. 19; pp. 1-12. *Martinez D. A., Tsalatsanis A., Yalcin A., Zayas-Castro J. L., Djulbegovic B., 2016, Activating clinical trials: a process improvement approach. Trials. Feb 24; 17(1):1. *Garcia-Arce, A., *Rico, F., and Zayas-Castro, J. L., 2017, Comparison of machine learning algorithms for the prediction of preventable hospital readmissions. To appear in Journal for Healthcare Quality. Wan, H., Zhang, L., Witz, S., Musselman, K., Yi, F., Mullen, C., Benneyan, J., Zayas-Castro, J.L., *Martinez, D. A., *Rico, F., and *Cure, L., 2016, A Literature Review of Preventable Hospital Readmissions. IIE Transactions on Healthcare Systems Engineering, Vol. 6.

*Sun, X., Lou, Z., Li, M., Kong, N., and Parikh, P., 2017, Predictive Modeling of Care Demand and Transition, Book Chapter 6 in Stochastic Modeling and Analytics in Healthcare Systems, Word Scientific Publishing, pp. 135-166.



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