SlideShare a Scribd company logo
1 of 2
Download to read offline
T
Kate Gleaon College of Engineering
Rochester Institute of Technology
77 Lomb Memorial Dr.
Rochester, NY 14623 Announcing
the Appointment
of New Faculty
& Endowed Chairs
for
Academic Year
2014-2015
Non-Profit Org.
U.S. Postage
PAID
Rochester, NY
Permit No. 626
THE KATE GLEASON
COLLEGE OF
Engineering
THE KATE GLEASON
COLLEGE OF
Engineering
Katie McConky
Assistant Professor, Industrial & Systems Engineering
Dr. Katie McConky received her B.S. and M.S. in Industrial
Engineering from the Rochester Institute of Technology (RIT), and
her Ph.D. in Operations Research from the State University
of New York at Buffalo. Prior to joining the RIT faculty, she worked
as a research scientist for CUBRC Inc. for seven years.
While at CUBRC she gained a broad range of experiences as a
research scientist working on military situation awareness
applications, intelligence community data mining projects, and
most recently as the lead data scientist for an energy data
analytics start-up company named TROVE. Dr. McConky is using
the experience gained from working with six different utilities on
load forecasting algorithms, demand response optimization, energy
efficiency program optimization, and energy theft detection to develop a research program focused
on sustainability in the energy space. Of particular interest is the use of smart meter data to develop
optimal residential and industrial demand side management strategies.
Rachel Silvestrini
Kate Gleason Associate Professor, Industrial &
Systems Engineering; Quality & Applied Statistics
Dr. Rachel Silvestrini received her B.S. in Industrial Engineering
from Northwestern University and her M.S. and Ph.D. in
Industrial Engineering from Arizona State University.
Dr. Silvestrini’s research interests include design of experiments,
response surface methods, mathematical modeling, data
analysis, data science, and simulation methodology. Her
research application interests include problems in the areas of
test and evaluation, historical medical patient record analysis,
semiconductor manufacturing, and logistics. She has
consistently received external funding for her research projects,
maintained a solid publication record, advised thesis students,
and given invited talks on her research. To date she has more than 25 technical papers published
or accepted for publication in peer reviewed journals, conference proceedings, and book
chapters.
Jing Zhang, Kate Gleason Assistant Professor
Electrical & Microelectronic Engineering
Dr. Jing Zhang received her B.S. in electronic science and
technology from the Huazhong University of Science and
Technology (Wuhan, China), and her Ph.D. in Electrical and
Computer Engineering at Lehigh University. While at Lehigh,
Dr. Zhang received the Dean’s Scholarship (2009), the
Sherman-Fairchild Fellowship for Solid State Studies twice
(2011-2013), and the prestigious SPIE Scholarship in Optics
and Photonics (2012).
Dr. Zhang’s research encompasses various aspects of
computational, material growth, and device fabrication of
III-Nitride semiconductors for light emitters and
thermoelectric devices. Her work includes the pursuit of novel
materials for large thermoelectric figures of merit, semiconductor Ultraviolet Light Emitting
Diodes and lasers, as well as III-Nitride solid state lighting devices. Dr. Zhang has published
more than 22 refereed journal papers and 30 conference publications, including invited talks.

More Related Content

What's hot

Next generation electronic medical records and search a test implementation i...
Next generation electronic medical records and search a test implementation i...Next generation electronic medical records and search a test implementation i...
Next generation electronic medical records and search a test implementation i...lucenerevolution
 
UCSF Informatics Day 2014 - Ida Sim, "Informatics Technologies: From a Data-C...
UCSF Informatics Day 2014 - Ida Sim, "Informatics Technologies: From a Data-C...UCSF Informatics Day 2014 - Ida Sim, "Informatics Technologies: From a Data-C...
UCSF Informatics Day 2014 - Ida Sim, "Informatics Technologies: From a Data-C...CTSI at UCSF
 
Pistoia Alliance-Elsevier Datathon
Pistoia Alliance-Elsevier DatathonPistoia Alliance-Elsevier Datathon
Pistoia Alliance-Elsevier DatathonPistoia Alliance
 
Journal Club - Best Practices for Scientific Computing
Journal Club - Best Practices for Scientific ComputingJournal Club - Best Practices for Scientific Computing
Journal Club - Best Practices for Scientific ComputingBram Zandbelt
 
Hybrid Fuzzy Approches for Networks
Hybrid Fuzzy Approches for NetworksHybrid Fuzzy Approches for Networks
Hybrid Fuzzy Approches for Networksijcoa
 
provenance of microarray experiments
provenance of microarray experimentsprovenance of microarray experiments
provenance of microarray experimentsHelena Deus
 
Master's Thesis - deep genomics: harnessing the power of deep neural networks...
Master's Thesis - deep genomics: harnessing the power of deep neural networks...Master's Thesis - deep genomics: harnessing the power of deep neural networks...
Master's Thesis - deep genomics: harnessing the power of deep neural networks...Enrico Busto
 
The contribution of authors: A study of the relationship between the size and...
The contribution of authors: A study of the relationship between the size and...The contribution of authors: A study of the relationship between the size and...
The contribution of authors: A study of the relationship between the size and...Rickard Danell
 
IRJET- Detection of Diseases in the Leaf by using Image Processing Techni...
IRJET-  	  Detection of Diseases in the Leaf by using Image Processing Techni...IRJET-  	  Detection of Diseases in the Leaf by using Image Processing Techni...
IRJET- Detection of Diseases in the Leaf by using Image Processing Techni...IRJET Journal
 
Personalized Information Retrieval system using Computational Intelligence Te...
Personalized Information Retrieval system using Computational Intelligence Te...Personalized Information Retrieval system using Computational Intelligence Te...
Personalized Information Retrieval system using Computational Intelligence Te...veningstonk
 
Digital webinar master deck final
Digital webinar master deck finalDigital webinar master deck final
Digital webinar master deck finalPistoia Alliance
 
Request experiment at WES
Request experiment at WESRequest experiment at WES
Request experiment at WESGRAPE
 
Request experiment in CHOICE LAB
Request experiment in CHOICE LABRequest experiment in CHOICE LAB
Request experiment in CHOICE LABGRAPE
 
Tyler Quinn Resume 2015
Tyler Quinn Resume 2015Tyler Quinn Resume 2015
Tyler Quinn Resume 2015Tyler Quinn
 
Novero a resume-2018
Novero a resume-2018Novero a resume-2018
Novero a resume-2018Aileen Novero
 
Data for AI models, the past, the present, the future
Data for AI models, the past, the present, the futureData for AI models, the past, the present, the future
Data for AI models, the past, the present, the futurePistoia Alliance
 

What's hot (20)

Analyzing data
Analyzing dataAnalyzing data
Analyzing data
 
Next generation electronic medical records and search a test implementation i...
Next generation electronic medical records and search a test implementation i...Next generation electronic medical records and search a test implementation i...
Next generation electronic medical records and search a test implementation i...
 
UCSF Informatics Day 2014 - Ida Sim, "Informatics Technologies: From a Data-C...
UCSF Informatics Day 2014 - Ida Sim, "Informatics Technologies: From a Data-C...UCSF Informatics Day 2014 - Ida Sim, "Informatics Technologies: From a Data-C...
UCSF Informatics Day 2014 - Ida Sim, "Informatics Technologies: From a Data-C...
 
Pistoia Alliance-Elsevier Datathon
Pistoia Alliance-Elsevier DatathonPistoia Alliance-Elsevier Datathon
Pistoia Alliance-Elsevier Datathon
 
Journal Club - Best Practices for Scientific Computing
Journal Club - Best Practices for Scientific ComputingJournal Club - Best Practices for Scientific Computing
Journal Club - Best Practices for Scientific Computing
 
Hybrid Fuzzy Approches for Networks
Hybrid Fuzzy Approches for NetworksHybrid Fuzzy Approches for Networks
Hybrid Fuzzy Approches for Networks
 
provenance of microarray experiments
provenance of microarray experimentsprovenance of microarray experiments
provenance of microarray experiments
 
Master's Thesis - deep genomics: harnessing the power of deep neural networks...
Master's Thesis - deep genomics: harnessing the power of deep neural networks...Master's Thesis - deep genomics: harnessing the power of deep neural networks...
Master's Thesis - deep genomics: harnessing the power of deep neural networks...
 
The contribution of authors: A study of the relationship between the size and...
The contribution of authors: A study of the relationship between the size and...The contribution of authors: A study of the relationship between the size and...
The contribution of authors: A study of the relationship between the size and...
 
IRJET- Detection of Diseases in the Leaf by using Image Processing Techni...
IRJET-  	  Detection of Diseases in the Leaf by using Image Processing Techni...IRJET-  	  Detection of Diseases in the Leaf by using Image Processing Techni...
IRJET- Detection of Diseases in the Leaf by using Image Processing Techni...
 
Personalized Information Retrieval system using Computational Intelligence Te...
Personalized Information Retrieval system using Computational Intelligence Te...Personalized Information Retrieval system using Computational Intelligence Te...
Personalized Information Retrieval system using Computational Intelligence Te...
 
Anthony Vessicchio CV
Anthony Vessicchio CVAnthony Vessicchio CV
Anthony Vessicchio CV
 
Digital webinar master deck final
Digital webinar master deck finalDigital webinar master deck final
Digital webinar master deck final
 
Request experiment at WES
Request experiment at WESRequest experiment at WES
Request experiment at WES
 
Request experiment in CHOICE LAB
Request experiment in CHOICE LABRequest experiment in CHOICE LAB
Request experiment in CHOICE LAB
 
Tyler Quinn Resume 2015
Tyler Quinn Resume 2015Tyler Quinn Resume 2015
Tyler Quinn Resume 2015
 
Knowledge-driven Implicit Information Extraction
Knowledge-driven Implicit Information ExtractionKnowledge-driven Implicit Information Extraction
Knowledge-driven Implicit Information Extraction
 
Dendral
DendralDendral
Dendral
 
Novero a resume-2018
Novero a resume-2018Novero a resume-2018
Novero a resume-2018
 
Data for AI models, the past, the present, the future
Data for AI models, the past, the present, the futureData for AI models, the past, the present, the future
Data for AI models, the past, the present, the future
 

Viewers also liked

manish new resume
manish new resumemanish new resume
manish new resumemanis kumar
 
Que es corel draw
Que es corel drawQue es corel draw
Que es corel drawAndres Rico
 
Sin título 1
Sin título 1Sin título 1
Sin título 1sdmun1014
 
BFI research
BFI researchBFI research
BFI researchgd12341
 
20 retos del nxt 2.0
20 retos del nxt 2.020 retos del nxt 2.0
20 retos del nxt 2.0flogerito
 
Romeo&juliet notes
Romeo&juliet notesRomeo&juliet notes
Romeo&juliet notesAhargen
 
Life Industrial Revolution
Life Industrial RevolutionLife Industrial Revolution
Life Industrial RevolutionSu Rbs
 
Hardness Testing Advanced- 2010
Hardness Testing Advanced- 2010Hardness Testing Advanced- 2010
Hardness Testing Advanced- 2010Amr Sakran
 
Process costing with case study mcom -1
Process costing with case study mcom -1Process costing with case study mcom -1
Process costing with case study mcom -1CHHAYA KAVITAKE
 
RESEÑA HISTORIA DE IMPACTO AMBIENTAL
RESEÑA HISTORIA DE IMPACTO AMBIENTALRESEÑA HISTORIA DE IMPACTO AMBIENTAL
RESEÑA HISTORIA DE IMPACTO AMBIENTALDesign Huanca
 
Cómo planear un curso virtual
Cómo planear un curso virtualCómo planear un curso virtual
Cómo planear un curso virtualDiana López
 

Viewers also liked (16)

manish new resume
manish new resumemanish new resume
manish new resume
 
Que es corel draw
Que es corel drawQue es corel draw
Que es corel draw
 
Sin título 1
Sin título 1Sin título 1
Sin título 1
 
Chappie arnes domingo
Chappie arnes domingoChappie arnes domingo
Chappie arnes domingo
 
BFI research
BFI researchBFI research
BFI research
 
Internet
InternetInternet
Internet
 
Human worm
Human wormHuman worm
Human worm
 
20 retos del nxt 2.0
20 retos del nxt 2.020 retos del nxt 2.0
20 retos del nxt 2.0
 
Romeo&juliet notes
Romeo&juliet notesRomeo&juliet notes
Romeo&juliet notes
 
Life Industrial Revolution
Life Industrial RevolutionLife Industrial Revolution
Life Industrial Revolution
 
Hardness Testing Advanced- 2010
Hardness Testing Advanced- 2010Hardness Testing Advanced- 2010
Hardness Testing Advanced- 2010
 
Sistema Endocrino
Sistema EndocrinoSistema Endocrino
Sistema Endocrino
 
Planning a road trip upd
Planning a road trip updPlanning a road trip upd
Planning a road trip upd
 
Process costing with case study mcom -1
Process costing with case study mcom -1Process costing with case study mcom -1
Process costing with case study mcom -1
 
RESEÑA HISTORIA DE IMPACTO AMBIENTAL
RESEÑA HISTORIA DE IMPACTO AMBIENTALRESEÑA HISTORIA DE IMPACTO AMBIENTAL
RESEÑA HISTORIA DE IMPACTO AMBIENTAL
 
Cómo planear un curso virtual
Cómo planear un curso virtualCómo planear un curso virtual
Cómo planear un curso virtual
 

Similar to New_Faculty_Trifold

Similar to New_Faculty_Trifold (20)

PrabhuCV_2017
PrabhuCV_2017PrabhuCV_2017
PrabhuCV_2017
 
PTW_CV
PTW_CVPTW_CV
PTW_CV
 
Trend Newsletter Spring 2016
Trend Newsletter Spring 2016Trend Newsletter Spring 2016
Trend Newsletter Spring 2016
 
CV_of_ArulMurugan (2017_01_18)
CV_of_ArulMurugan (2017_01_18)CV_of_ArulMurugan (2017_01_18)
CV_of_ArulMurugan (2017_01_18)
 
Resume_Xiaohui_2015_09
Resume_Xiaohui_2015_09Resume_Xiaohui_2015_09
Resume_Xiaohui_2015_09
 
Brockman_Resume
Brockman_ResumeBrockman_Resume
Brockman_Resume
 
KSwetech
KSwetechKSwetech
KSwetech
 
WGBMEResume
WGBMEResumeWGBMEResume
WGBMEResume
 
MartinJDudziak Biocyb Resume Execsumm July2011
MartinJDudziak Biocyb Resume Execsumm July2011MartinJDudziak Biocyb Resume Execsumm July2011
MartinJDudziak Biocyb Resume Execsumm July2011
 
Innovation Portal Presentation
Innovation Portal PresentationInnovation Portal Presentation
Innovation Portal Presentation
 
Raba_CV_Sep2015
Raba_CV_Sep2015Raba_CV_Sep2015
Raba_CV_Sep2015
 
Resume
ResumeResume
Resume
 
190947 order of_the_engineer_8.5x11_r1
190947 order of_the_engineer_8.5x11_r1190947 order of_the_engineer_8.5x11_r1
190947 order of_the_engineer_8.5x11_r1
 
Stevens-EXPO-2016-final
Stevens-EXPO-2016-finalStevens-EXPO-2016-final
Stevens-EXPO-2016-final
 
Resume Ivy 20161216
Resume Ivy 20161216Resume Ivy 20161216
Resume Ivy 20161216
 
Agent-Based Problem Solving Methods In Big Data Environment
Agent-Based Problem Solving Methods In Big Data EnvironmentAgent-Based Problem Solving Methods In Big Data Environment
Agent-Based Problem Solving Methods In Big Data Environment
 
Siwei Peng Mechanical Engineering_
Siwei Peng Mechanical Engineering_ Siwei Peng Mechanical Engineering_
Siwei Peng Mechanical Engineering_
 
Resume
ResumeResume
Resume
 
Mm schladen cv v150801
Mm schladen cv v150801Mm schladen cv v150801
Mm schladen cv v150801
 
Bio data 06.10.2015
Bio data 06.10.2015Bio data 06.10.2015
Bio data 06.10.2015
 

New_Faculty_Trifold

  • 1. T Kate Gleaon College of Engineering Rochester Institute of Technology 77 Lomb Memorial Dr. Rochester, NY 14623 Announcing the Appointment of New Faculty & Endowed Chairs for Academic Year 2014-2015 Non-Profit Org. U.S. Postage PAID Rochester, NY Permit No. 626 THE KATE GLEASON COLLEGE OF Engineering THE KATE GLEASON COLLEGE OF Engineering
  • 2. Katie McConky Assistant Professor, Industrial & Systems Engineering Dr. Katie McConky received her B.S. and M.S. in Industrial Engineering from the Rochester Institute of Technology (RIT), and her Ph.D. in Operations Research from the State University of New York at Buffalo. Prior to joining the RIT faculty, she worked as a research scientist for CUBRC Inc. for seven years. While at CUBRC she gained a broad range of experiences as a research scientist working on military situation awareness applications, intelligence community data mining projects, and most recently as the lead data scientist for an energy data analytics start-up company named TROVE. Dr. McConky is using the experience gained from working with six different utilities on load forecasting algorithms, demand response optimization, energy efficiency program optimization, and energy theft detection to develop a research program focused on sustainability in the energy space. Of particular interest is the use of smart meter data to develop optimal residential and industrial demand side management strategies. Rachel Silvestrini Kate Gleason Associate Professor, Industrial & Systems Engineering; Quality & Applied Statistics Dr. Rachel Silvestrini received her B.S. in Industrial Engineering from Northwestern University and her M.S. and Ph.D. in Industrial Engineering from Arizona State University. Dr. Silvestrini’s research interests include design of experiments, response surface methods, mathematical modeling, data analysis, data science, and simulation methodology. Her research application interests include problems in the areas of test and evaluation, historical medical patient record analysis, semiconductor manufacturing, and logistics. She has consistently received external funding for her research projects, maintained a solid publication record, advised thesis students, and given invited talks on her research. To date she has more than 25 technical papers published or accepted for publication in peer reviewed journals, conference proceedings, and book chapters. Jing Zhang, Kate Gleason Assistant Professor Electrical & Microelectronic Engineering Dr. Jing Zhang received her B.S. in electronic science and technology from the Huazhong University of Science and Technology (Wuhan, China), and her Ph.D. in Electrical and Computer Engineering at Lehigh University. While at Lehigh, Dr. Zhang received the Dean’s Scholarship (2009), the Sherman-Fairchild Fellowship for Solid State Studies twice (2011-2013), and the prestigious SPIE Scholarship in Optics and Photonics (2012). Dr. Zhang’s research encompasses various aspects of computational, material growth, and device fabrication of III-Nitride semiconductors for light emitters and thermoelectric devices. Her work includes the pursuit of novel materials for large thermoelectric figures of merit, semiconductor Ultraviolet Light Emitting Diodes and lasers, as well as III-Nitride solid state lighting devices. Dr. Zhang has published more than 22 refereed journal papers and 30 conference publications, including invited talks.