Ph.D. Proposal Defense

Data, Energy, and Privacy Management
Techniques for Sustainable Microgrids

Zhichuan Huang

11:00am Tuesday, 11 August 2015, ITE 325b

Sustainable microgrids have gained increasing attention recently, because they can provide the power supply to places i) where the traditional power grid does not exist due to the poor economy or limited number of residences (e.g., islands); and ii) when the traditional power grid is temporally not functioning due to severe weather conditions (e.g., storms). However, in order to achieve sustainability, there are a lot of challenges to be addressed. In this thesis, we propose to investigate three key techniques in sustainable microgrids. First, we investigate the big energy data management problem and present E-Sketch, a middleware for utility companies to gather data from smart meters with much less storage and communication overhead. E-Sketch utilizes adaptive sampling to compress power consumption changes in time domain. Then frequency compression is applied to further compress the sampled data.

The second key technique is the energy management in microgrids. Because energy generation and demand in each individual home and microgrid is not matching, the key challenge of the energy management is to model the existing energy demand and propose novel energy management to reduce the overall energy usage and cost in microgrids. In this technique, we study the theoretical, technical, and economic feasibility of sustainable microgrids. To enable distributed energy management, energy consumption data of different homes needs to be shared in the microgrid. Thus an important problem is how we guarantee that the shared data can only be used for energy management but not revealing the privacy of individual homes in the microgrid. To address this problem, we leverage the unique feature of hybrid AC-DC microgrids and propose the third technique — Shepherd, a privacy protection framework to effectively protect occupants’ privacy. In Shepherd, we provide a generic model for energy consumption hiding from different types of detection techniques.

Committee: Drs. Ting Zhu (chair), Nilanjan Banerjee, Chintan Patel, and David Irwin (UMass Amherst)

Ph.D. Proposal Defense

Holistic Home Energy Management:
From Sensing to Data Analytics

David Lachut

2:00pm Tuesday, 11 August 2015, ITE 325b

As home automation tools become more prevalent, they provide great potential to assist energy conservation and promote sustainable energy use in a way that increases users’ quality of life. This paper proposes the Greenhome System: a software system for using off-the-shelf home automation components and back-end data analytics to provide intelligent home energy management capabilities primarily targeted to renewable powered homes. The system will take input from various sensors and user input to detect user activities, predict home energy consumption, and make energy consumption recommendations to users. To accomplish the project goals, the Greenhome system requires in-home hardware and software components, a mobile component for user interaction, and a server component to tie them together. These components will accomplish tasks of data collection and analysis, activity and anomaly detection, prediction, planning, and recommendation.

This project builds on prior research in several areas, combining such diverse fields as predictive analytics, data visualization and annotation, planning, and recommender systems into a holistic approach. Combining these fields will result in new adaptations and make the overall Greenhome System a novel contribution. Work has begun on the Greenhome System preliminary to this proposal, with published work on residential sensor system design and implementation, data annotation collection, and energy demand prediction. It remains to incorporate automated self-maintenance, user activity detection, and personalized recommendations into a holistic system for home energy management.

Committee: Drs. Nilanjan Banerjee (chair), Ting Zhu, Charles Nicholas, Nirmalya Roy

Late in the Spring 2015 semester, three Mechanical Engineering Undergraduates attended the 8th International Conference on Ethics in Biology, Engineering & Medicine, hosted by St. Francis College of Brooklyn NY on behalf of SUNY Downstate Medical Center.  Niara Comrie (right), Lailynn Reyes (left), and Emily Canapp (not shown) presented their posters and reported back to us that an ethical and informative time was had by all. The conference had a wide range of topics for attendees to debate and discuss from the ethics of bulletproof skin and dental implants to the privacy concerns surrounding personal mobile devices and drones.

The UMBC/ME students’ poster was entitled Anticipating Future Ethical Issues in Prosthetic Devices.  Ms. Comrie, Ms. Reyes, and Ms. Canapp presented their anticipatory ethical analysis using trends in advancement and application (specific to prosthetics) to look toward potential ethical conundrums. Some of the scenarios explored touched on misuse of advanced personal medical devices or prosthetics and anticipating or preventing bad acts perpetuated using these technologies: how do we keep people from using medical tech to harm others, is it possible to do so ethically?  Another ethical concern explored was toward the other end of the access spectrum: how does society make prosthetics available to those with need but not means?

Engineers affect access to every kind of medical device: their work allows devices to be created more efficiently, more cheaply, and to evolve and change with our knowledge of materials. Engineers allow medical innovation to progress with the imaginations of the medical researchers they collaborate with, it is only appropriate to allow our imaginations to explore not only the possibilities but the dangers. It is only appropriate for us to prevent and prepare for the consequences we can foresee with analyses like that done by Ms. Comrie, Ms. Reyes, and Ms. Canapp.

Computer Science and Electrical Engineering
University of Maryland, Baltimore County

MS Thesis Defense in Computer Science

Identifying Significant, Difficult and Timeless
Concepts for Cybersecurity Assessment Tools:
Results and Analysis of Two Delphi Processes

Geet Parekh

11:00am Friday, 7 August 2015, ITE 228

As part of our ongoing project to create Cybersecurity Assessment Tools (CATs), we carried out two Delphi processes to help cybersecurity experts and educators build a consensus about the core concepts and skills in the field. We present and analyze the results of these processes.

The first process identified fundamental concepts for our Cybersecurity Concept Inventory to be given to students completing any first course in cybersecurity. The second process identified skills for our Cybersecurity Curriculum Assessment, which will be given to students graduating from college headed for their first job in cybersecurity. These tests will provide infrastructure for evidence-based improvement of cybersecurity education to help universities better prepare the substantial number of cybersecurity professionals needed in America.

Thirty-six experts participated in four to five rounds of data collection. By the end of the processes, experts reached a consensus, as indicated by decreasing variations in their scoring of the importance, difficulty, and timelessness of concepts and topics that they identified. Participation by these diverse cybersecurity experts should help increase adoption of the tests.

Keywords: Cybersecurity Education, Cybersecurity Assessment Tools (CATs), Delphi Method, Concept Inventory

Committee: Drs. Alan T. Sherman (chair), Linda Oliva, Dhananjay Phatak, Chintan Patel

Remote Participation: If you wish to attend the defense remotely via Skype, please email Geet (Sorry, you need javascript to view this email address. ).

Note: The Department of Defense has funded continuation of this research under BAA-003-15 via a collaborative award to UMBC and The University of Illinois at Champaign-Urbana (PIs Alan Sherman and Geoffrey Herman; CoPIs Dhananjay Phatak and Linda Oliva).

A 12-Month Graduate Research Assistant (GRA) is sought for 2015-2016 to work on a DoD-funded cybersecurity education project at UMBC.

Position Highlights

• 9-month stipend: $18,752.94; 2.5 month summer stipend: $8,000.
• Hours: 20 hours/week (September 2015-May 2016)
• Benefits: tuition and mandatory fees, health insurance
• Eligibility: MS or PhD student at UMBC in CS, CE, EE, or related field (IS, math, education, physics).
• INS Requirements: USA citizen or permanent resident
• Source of funding: Department of Defense via a grant under BAA-003-15 (PI Alan Sherman)

Skills Needed

The GRA will (1) transcribe and analyze interviews of students to uncover their misconceptions about cybersecurity, (2) suggest interview prompts and test questions, and (3) help prepare publications describing the results. This work will include some statistical analysis and use of SurveyMonkey on-line questionnaires.

The GRA should bring knowledge and passion for cybersecurity, excellent communication skills, a strong work ethic, and a willingness, ability, and eagerness to learn whatever is needed to complete the project successfully.

The GRA will work closely with the investigators, including Drs. Alan Sherman, Dhananjay Phatak, Linda Oliva, Geoffrey Herman, and a post-doc in engineering education to be hired at The University of Illinois, Champaign-Urbana.

Project Summary

Professors Alan Sherman (CSEE), Dhananjay Phatak (CSEE), and Linda Oliva (Education) have been awarded a research grant from the Department of Defense to create two educational cybersecurity assessment tools, to help improve the way cybersecurity is taught. The $294,016 one-year project is joint with Geoffrey Herman at the University of Illinois, Champaign-Urbana (UMBC portion $146,917). The research is being carried out at the UMBC Cyber Defense Lab at the UMBC Center for Information Security and Assurance and will fund a 12-month GRA in 2015-2016.

This project is creating infrastructure for a rigorous evidence-based improvement of cybersecurity education by developing the first Cybersecurity Assessment Tools (CATs) targeted at measuring the quality of instruction. The first CAT will be a Cybersecurity Concept Inventory (CCI) that measures how well students understand basic concepts in cybersecurity after a first course in the field. The second CAT will be a Cybersecurity Curriculum Assessment (CCA) that measures how well curricula prepared students graduating from college on fundamentals needed for careers in cybersecurity. Each CAT will be a multiple-choice test with approximately thirty questions.

Inspired by the highly influential Force Concept Inventory from physics, the investigators are following a three-step process: In fall 2015, with MS student Geet Parekh, they carried out two Delphi processes to identify important and difficult concepts in cybersecurity. Next, they will interview students to uncover their misconceptions about these concepts. Finally, they will draft and psychometrically evaluate questions whose incorrect answers are driven by the uncovered misconceptions. For more information, see here and here.

In 2015-2016, the project will focus on (1) interviewing students and analyzing the results, and (2) developing draft questions.

How to Apply

Interested graduate students should email Dr. Sherman (Sorry, you need javascript to view this email address. ) a resume, unofficial transcript, and statement of interest and qualifications. Include “CATs GRA” in subject header.

A 12-Month Graduate Research Assistant (GRA) is sought for 2015-2016 to work on a DoD-funded cybersecurity education project at UMBC.

Position Highlights

• 9-month stipend: $18,752.94; 2.5 month summer stipend: $8,000.
• Hours: 20 hours/week (September 2015-May 2016)
• Benefits: tuition and mandatory fees, health insurance
• Eligibility: MS or PhD student at UMBC in CS, CE, EE, or related field (IS, math, education, physics).
• INS Requirements: USA citizen or permanent resident
• Source of funding: Department of Defense via a grant under BAA-003-15 (PI Alan Sherman)

Skills Needed

The GRA will (1) transcribe and analyze interviews of students to uncover their misconceptions about cybersecurity, (2) suggest interview prompts and test questions, and (3) help prepare publications describing the results. This work will include some statistical analysis and use of SurveyMonkey on-line questionnaires.

The GRA should bring knowledge and passion for cybersecurity, excellent communication skills, a strong work ethic, and a willingness, ability, and eagerness to learn whatever is needed to complete the project successfully.

The GRA will work closely with the investigators, including Drs. Alan Sherman, Dhananjay Phatak, Linda Oliva, Geoffrey Herman, and a post-doc in engineering education to be hired at The University of Illinois, Champaign-Urbana.

Project Summary

Professors Alan Sherman (CSEE), Dhananjay Phatak (CSEE), and Linda Oliva (Education) have been awarded a research grant from the Department of Defense to create two educational cybersecurity assessment tools, to help improve the way cybersecurity is taught. The $294,016 one-year project is joint with Geoffrey Herman at the University of Illinois, Champaign-Urbana (UMBC portion $146,917). The research is being carried out at the UMBC Cyber Defense Lab at the UMBC Center for Information Security and Assurance and will fund a 12-month GRA in 2015-2016.

This project is creating infrastructure for a rigorous evidence-based improvement of cybersecurity education by developing the first Cybersecurity Assessment Tools (CATs) targeted at measuring the quality of instruction. The first CAT will be a Cybersecurity Concept Inventory (CCI) that measures how well students understand basic concepts in cybersecurity after a first course in the field. The second CAT will be a Cybersecurity Curriculum Assessment (CCA) that measures how well curricula prepared students graduating from college on fundamentals needed for careers in cybersecurity. Each CAT will be a multiple-choice test with approximately thirty questions.

Inspired by the highly influential Force Concept Inventory from physics, the investigators are following a three-step process: In fall 2015, with MS student Geet Parekh, they carried out two Delphi processes to identify important and difficult concepts in cybersecurity. Next, they will interview students to uncover their misconceptions about these concepts. Finally, they will draft and psychometrically evaluate questions whose incorrect answers are driven by the uncovered misconceptions. For more information, see here and here.

In 2015-2016, the project will focus on (1) interviewing students and analyzing the results, and (2) developing draft questions.

How to Apply

Interested graduate students should email Dr. Sherman (Sorry, you need javascript to view this email address. ) a resume, unofficial transcript, and statement of interest and qualifications. Include “CATs GRA” in subject header.