ACM-IEEE Mid-Semester Celebration, 12-2 Mon. 10/21

ACM-IEEE Mid-Semester Celebration

12-2pm Monday, 21 October 2019

The UMBC ACM student chapter and IEEE student branch are back together for an event to mark and celebrate the mid-point of this fall semester. Take this opportunity to mingle, network, explore ideas, collaborate and treat yourself to a wonderful feast while you’re at it! Faculty, staff and especially students from the CSEE and IS departments are encouraged to participate.

Location: UMBC Engineering Building Atrium
Date: Monday, 21 October 2019
Time: 12:00pm to 2:00pm
Hosted by: UMBC ACM and IEEE Chapters

We hope to see you all there!

The ACM and IEEE student chapters of UMBC in association with Computer Science & Electrical Engineering and Information System departments.


Email with any questions about this event and follow the UMBC ACM student chapter Facebook page for event updates.

Science Unscripted: Conversations with AI Experts, 5-8:00pm 29&30 Oct 2019, UMBC

On October 29 and 30 the National Science and Technology Medals Foundation will host Science Unscripted: Conversations with AI Experts, two early evening events at UMBC from 5:00 to 8:00pm that bring together AI experts to discuss how AI will impact our lives. The events will be held in the Fine Arts Recital Hall with doors open at 5:00 prior to the 5:30 start and will conclude with a reception starting at 7:00pm with food and drinks. Both events are free, but registration is requested.

These events are a part of the NSTMF’s Science Unscripted program. Through the SU program, the Foundation is building an inclusive coalition of inspired STEM students. By highlighting voices often left unheard in the STEM community, we show audiences that there is no “right” way to be a trailblazer in science and technology. Each evening, attendees will have the chance to hear about the lives and experiences of the women and men dedicated to creating smart, socially conscious AI.

Tuesday, Oct. 29: Code-ifying AI is a a discussion about AI policy. A panel including UMBC Professor Cynthia Matuszek, Dr. José-Marie Griffiths and moderated by Rosario Robinson will examine what it will take to govern AI as well as the implications of incorporating AI into our everyday lives. Register on Eventbright.

Wednesday, Oct. 30: Decoding Bias in AI is a panel discussion about implicit bias and how we can create more socially conscious AI with UMBC Professor James Foulds, Loretta Cheeks, Emmanuel Johnson and moderator Deborah Kariuki. Implicit bias remains one of the most prevalent concerns about incorporating AI into the mainstream, and our panel is poised to deliberate the ethics and possible solutions to this issue. Register on Eventbright.

The events will be webcast live with closed-captions on Facebook, and the full event videos will be available on our YouTube channel afterward. Webcast audiences are encouraged to participate in the conversation using #ScienceUnscripted on Twitter, Facebook and Instagram.

Both events are no-cost, equal access (ADA compliant), and open to the public. Save your seat on Eventbrite for day one at Code-ifying AI and for day two at Decoding Bias in AI.

talk: Correlation analysis with small sample sizes, 2pm Tue 6/18, UMBC

Correlation analysis with small sample sizes

Peter Schreier, Univ. of Paderborn, Germany

2:00-3:00 Tuesday, 18 June 2019, ITE 325B, UMBC

Most common techniques for correlation analysis (e.g., canonical correlation analysis) require sufficiently large sample support, but in many applications only a limited number of samples are available. Correlation analysis with small sample sizes poses some unique challenges. In this talk, I will focus on the problem of determining the correlated components between two or more data sets when the number of samples from these data sets is extremely small. Applications are plentiful, and among them I will discuss the identification of weather patterns in climate science and analyzing the effects of extensive physical exercise on the autonomic nervous system.

Peter Schreier was born in Munich, Germany, in 1975. He received a Master of Science from the University of Notre Dame, IN, USA, in 1999, and a Ph.D. from the University of Colorado at Boulder, CO, USA, in 2003, both in electrical engineering. From 2004 until 2011, he was on the faculty of the School of Electrical Engineering and Computer Science at the University of Newcastle, NSW, Australia. Since 2011, he has been Chaired Professor of Signal and System Theory at Paderborn University, Germany. He has spent sabbatical semesters at the University of Hawaii at Manoa, Honolulu, HI, and Colorado State University, Ft. Collins, CO.

From 2008 until 2012, he was an Associate Editor of the IEEE Transactions on Signal Processing, from 2010 until 2014 a Senior Area Editor for the same Transactions, and from 2015 to 2018 an Associate Editor for the IEEE Signal Processing Letters. From 2009 until 2014, he was a member of the IEEE Technical Committee on Machine Learning for Signal Processing, and he currently serves on the IEEE Technical Committee on Signal Processing Theory and Methods. He is the Chair of the Steering Committee of the IEEE Signal Processing Society’s Data Science Initiative, and he serves on the IEEE SPS Regional Committee for Region 8. He was the General Chair of the 2018 IEEE Statistical Signal Processing Workshop in Freiburg, Germany.

talk: Tensor Decomposition of ND data arrays, 2pm 6/13 ITE325

Tensor Decomposition of ND data arrays

Prof. David Brie, University of Lorraine

2:00pm Thursday, 13 June 2019, ITE 325B, UMBC

The goal of this talk is to give an introduction to tensor decompositions for the analysis of multidimensional data. First, we recall some basic notions and operations on tensors. Then two tensor decompositions are presented: the Tucker decomposition (TD) and the Candecomp/Parafac decomposition (CPD). A particular focus is placed on the identifiability conditions of the CPD. Finally, various applications in biology are presented.

David Brie received the Ph.D. degree in 1992 and the Habilitation à Diriger des Recherches degree in 2000, both from Université de Lorraine, France. He is currently full professor at the Department of Telecommunications and Networking of the Institut Universitaire de Technologie, Université de Lorraine, France. He is editor-in-chief of the French journal “Traitement du Signal” since 2013 and will be co-general chair of the next IEEE CAMSAP 2019. His current research interests include vector-sensor-array processing, spectroscopy and hyperspectral image processing, non-negative matrix factorization, multidimensional signal processing, and tensor decompositions.

UMBC’s 15th Digital Entertainment Conference, 11-5, Sat May 11

UMBC’s 15th Digital Entertainment Conference

11:00am-5:00pm, Saturday, May 11, 2019

Commons Sports Zone, UMBC

The Digital Entertainment Conference (DEC) is an annual student-organized event that brings professional game developers from the area to UMBC to talk about their experience in the game industry. DEC’19 will be held 11-5 on Saturday, May 11 in the Sports Zone of the UMBC Commons building. Attend to meet professions from the local game industry, see games made by UMBC students, and network with game developers.

DEC’19 is free to attend and open to UMBC students, high school students, UMBC alumni and anyone interested in game development. A free catered lunch is provided and parking on campus is free on weekends on any lot marked A, B, or C.

This year’s speakers include: Greg Lane, Community Manager at Big Huge Games; Dorian Newcomb, Co-founder and Art Director at Mohawk Games; Andrei Shulgach, Composer for games and short films and UI Implementer at UX is Fine; Rebecca Bushko: Software Engineer at Big Huge Games; Eric Jordan, Senior Software Engineer at Firaxis Games and the first president of the UMBC Game Developers Club.

The DEC’19 is co-sponsored by the UMBC Game Developers club and Computer Science Education Club and funded by the COEIT Dean’s Office’s Collaborative Student Funding Program.

talk: Security for Smart Cyber-Physical Systems, 12-1 5/3, ITE 227

UMBC Cyber Defense Lab

Security for Smart Cyber-Physical Systems

Prof. Anupam Joshi, UMBC

12:00–1:00pm, Friday, 3 May 2019, ITE 227

Smart Cyber-Physical Systems (CPS) are increasingly embedded in our everyday life. Security incidents involving them are often high-profile because of their ability to control critical infrastructure. Stuxnet and the Ukrainian power-grid attack are some notorious attacks reported against CPS which impacted governmental programs to ordinary users. In addition to the deliberate attacks, device malfunction and human error can also result in incidents with grave consequences. Hence the detection and mitigation of abnormal behaviors resulting from security incidents is imperative for the trustworthiness and broader acceptance of smart cyber-physical systems. We propose an automatic behavioral abstraction technique, ABATe, which automatically learns their typical behavior by finding the latent “context” space using available operational data and is used to discern anomalies. We evaluate our technique using two real-world datasets (a sewage water treatment plant dataset and an automotive dataset) to demonstrate the multi-domain adaptability and efficacy of our approach.

Anupam Joshi is the Oros Family Professor and Chair of Computer Science and Electrical Engineering Department at the University of Maryland, Baltimore County(UMBC). He is the Director of UMBC’s Center for Cybersecurity, and one of the USM leads for the National Cybersecurity FFRDC. He is a Fellow of IEEE. Dr. Joshi obtained a B.Tech degree from IIT Delhi in 1989, and a Masters and Ph.D. from Purdue University in 1991 and 1993 respectively. His research interests are in the broad area of networked computing and intelligent systems. His primary focus has been on data management and security/privacy in mobile/pervasive computing environments, and policy driven approaches to security and privacy. He is also interested in Semantic Web and Data/Text/Web Analytics, especially their applications to (cyber) security. He has published over 250 technical papers with an h-index of 79 and over 23,250 citations (per Google scholar), filed and been granted several patents, and has obtained research support from National Science Foundation (NSF), NASA, Defense Advanced Research Projects Agency (DARPA), US Dept of Defense (DoD), NIST, IBM, Microsoft, Qualcom, Northrop Grumman, and Lockheed Martin amongst others

talk: Data-driven Approach for Sustainable Smart Cities, 11am 5/6, ITE 459, UMBC

Information Systems Spring 2019 Distinguished Lecture on Sustainable Smart Cities

A Data-driven Approach for Sustainable Smart Cities

Prof. Prashant Shenoy, University of Massachusetts

11:00am Monday, 6 May 2019, ITE 459, UMBC

Recent technological advances have enabled deployments of pervasive sensing and actuation in our physical world, which has led to the emergence of cyber-physical systems where computing and sensing interact with the physical world and humans in unique and exciting ways. Such systems are increasingly being deployed in smart city domains such as energy, transportation, health, grids, and agriculture.

In this talk, I will argue that the rich and vast amounts of data generated by smart city applications necessitate a data-driven approach where AI and systems techniques are employed in a symbiotic manner to tackle smart city challenges. I will present two smart city applications from the energy domain as examples of such a symbiotic approach. I will first present WattHome, a city-scale machine-learning-based approach that can determine the least efficient buildings within a large city or region. I will present the results of a city-scale evaluation performed in collaboration with a local utility, where WattHome successfully identified causes of energy inefficiency for thousands of buildings. Second, I will present SolarClique, a sensor-less data-driven approach that is designed to detect anomalies in power generation of large number of existing solar sites without requiring any additional sensor instrumentation. I will conclude my talk by describing a number of open challenges in designing data-driven approaches for smart cities.

Prashant Shenoy is currently a Professor and Associate Dean in the College of Information and Computer Sciences at the University of Massachusetts Amherst. He received the B.Tech degree in Computer Science and Engineering from the Indian Institute of Technology, Bombay and the M.S and Ph.D degrees in Computer Science from the University of Texas, Austin. His research interests lie in distributed systems and networking, with a recent emphasis on cloud and green computing. He has been the recipient of several best paper awards at leading conferences, including a Sigmetrics Test of Time Award. He serves on editorial boards of the several journals and has served as the program chair of over a dozen ACM and IEEE conferences. He is a fellow of the IEEE and the AAAS and a distinguished member of the ACM.

talk: The Evolution of Mobile Authentication, 1pm 4/30, ITE325, UMBC

The Evolution of Mobile Authentication

Prof. Keith Mayes, Royal Holloway University of London

1:00pm Tuesday 30 April 2019, ITE325, UMBC

Mobile communication is an essential part or modern life, however it is dependent on some fundamental security technologies. Critical amongst these technologies, is mobile authentication, the ability to identify valid users (and networks) and enable their secure usage of communication services. In the GSM standards and the 3GPP standards that evolved from them, the subscriber-side security has been founded on a removable, attack-resistant smart card known as a SIM (or USIM) card. The presentation explains how this situation came about, and how and why the protocols and algorithms have improved over time. It will cover some work by the author on a recent algorithm for 3GPP and then discuss how Machine-to-Machine and IoT considerations have led to new standards, which may herald the demise of the conventional removable SIM, in favour of an embedded eSIM.

Professor Keith Mayes B.Sc. Ph.D. CEng FIET A.Inst.ISP, is a professor of information security within the Information Security Group (ISG) at Royal Holloway University of London. Prior to his sabbatical, he was the Director of the ISG and Head of the School of Mathematics and Information Security. He is an active researcher/author with 100+ publications in numerous conferences, books and journals. His current research interests are diverse, including, mobile communications, smart cards/RFIDS, the Internet of Things, and embedded systems. Keith joined the ISG in 2002, originally as the Founder Director of the ISG Smart Card Centre, following a career in industry working for Pye TVT, Honeywell Aerospace and Defence, Racal Research and Vodafone. Keith is a Chartered Engineer, a Fellow of the Institution of Engineering and Technology, a Founder Associate Member of the Institute of Information Security Professionals, a Member of the Licensing Executives Society and an experienced company director and consultant. He is active in the UK All Party Parliamentary Group (APPG) on Cyber Security and is an adjunct professor at UMBC.

IBM Watson Cloud Academy Workshop, 9-5 May 3

IBM Cloud Academy Workshop

9am-5pm Friday, May 3, 2019

UMBC will host an all-day IBM Watson Cloud Academy Workshop 9am-5pm on May 3 taught by Prof. Anand Singh of NCSU. All faculty, students and staff are welcome to attend. We also welcome government and industry partners. Register for the free workshop here.

The workshop will provide hands-on training on many of the IBM Watson, analytics and IoT cloud services that can be used in support of a wide-range of AI/cognitive-based research projects and curricula. It will also provide use cases of many typical biomedical, engineering and other problems that can be solved using these technologies.

The workshop will end with a project planning clinic, whereby faculty can discuss proposed projects. To prepare for this hands-on workshop, participants should obtain a free IBM Cloud trial accounts and review the educational modules/material as outlined below:

  • Obtain a free IBM Cloud trial account (that will provide you with free access to a subset of Watson services).
  • Click on Watson and then select Cloud Access and then follow the directions to get your free account.
  • Go to the free Educator Guides page
  • Review the material for the “Updated Watson Education Guide” and complete the Lab and Exercises.
  • Go to the Watson Academic Engagement page and go through the “Application Starter Kit”, “API Documentation,” and “Watson on Github” and other material there.
  • Go to the IBM Watson Academy page and go through the material under “IBM Watson and Cloud Platform”, especially material on NLP, Dialog, Assistant, Discovery and Watson Knowledge Studios.

Register for the free workshop here.

CSEE at Undergraduate Research and Creative Achievement Day

CSEE students at UMBC’s 23nd Annual Undergraduate Research and Creative Achievement Day

Congratulations to the 49 undergraduate majors from our computer engineering and computer science programs who are presenting their research at the 23nd Annual Undergraduate Research and Creative Achievement Day on Wednesday, 24 April 2019.
  • Devon Adams | Computer Science and Electrical Engineering
    Development Of An Autonomous Vehicle For The Micromouse Competition
    Mentor(s): E F Charles LaBerge
    UC Ballroom | 1 – 2:30 p.m.
  • Aileiwaer Airexiati | Computer Science and Electrical Engineering
    Development Of An Autonomous Vehicle For The Micromouse Competition
    Mentor(s): E F Charles LaBerge
    UC Ballroom | 1 – 2:30 p.m.
  • Rashed Mohamed Salem Ali Alhefeiti | Computer Science and Electrical Engineering
    Development Of An Autonomous Vehicle For The Micromouse Competition
    Mentor(s): E F Charles LaBerge
    UC Ballroom | 1 – 2:30 p.m.
  • Ahmed Ali Almehrzi | Computer Science and Electrical Engineering
    Micromouse-X : UMBC Capstone Project
    Mentor(s): E.F. Charles LaBerge
    UC Ballroom | 10 – 11:30 a.m.
  • Trevor Ancona | Computer Science and Electrical Engineering
    UMBC Game Developers Club 2018-2019 Game Projects
    Mentor(s): Marc Olano
    UC Ballroom Lounge | 10 – Noon
  • Ryan Apt | Computer Science and Electrical Engineering
    Development Of An Autonomous Vehicle For The Micromouse Competition
    Mentor(s): E F Charles LaBerge
    UC Ballroom | 1 – 2:30 p.m.
  • Courtney Bohn | Computer Science and Electrical Engineering
    Creating A Quadruped Robot With Walking And Wheeled Capabilities
    Mentor(s): Fow-Sen Choa
    UC Ballroom | 1 – 2:30 p.m.
  • Cameron Blomquist | Computer Science and Electrical Engineering
    UMBC Game Developers Club 2018-2019 Game Projects
    Mentor(s): Marc Olano
    UC Ballroom Lounge | 10 – Noon
  • Maxwell Breitmeyer | Computer Science and Electrical Engineering
    Virtual Reality And Photogrammetry For Improved Reproducibility Of Human-Robot Interaction Studies
    Mentor(s): Don Engel
    UC Ballroom | 10 – 11:30 a.m.
  • Elwin Brown | Computer Science and Electrical Engineering
    Thirst: A Quest To Restore The Oasis
    Mentor(s): Marc Olano
    UC Ballroom Lounge | 10 – Noon
  • Elwin Brown | Computer Science and Electrical Engineering
    Toward The Application Of SVM’s For Text-Based Replication Of CATME Peer Evaluations
    Mentor(s): Don Engel
    UC Ballroom | 1 – 2:30 p.m.
  • Erin Cannon | Computer Science and Electrical Engineering
    Thirst: A Quest To Restore The Oasis
    Mentor(s): Marc Olano
    UC Ballroom Lounge | 10 – Noon
  • Noah Carver | Computer Science and Electrical Engineering
    Modular Solvers For Partially Continuous Abstract Markov Decision Processes
    Mentor(s): Cynthia Matuszek
    UC Ballroom | 1 – 2:30 p.m.
  • Dan Castellano | Computer Science and Electrical Engineering
    Brain Guitar-Pedal Interface
    Mentor(s): E. F. Charles LaBerge
    UC Ballroom | Time
  • Caroline Cocca | Computer Science and Electrical Engineering
    Investigating Teamwork Quality Through Neural Networks And Text Analysis
    Mentor(s): Don Engel
    UC Ballroom | 10 – 11:30 a.m.
  • Adam Der | Computer Science and Electrical Engineering
    Fabrication Of A Wearable Temperature Sensing System For CIPA Patients
    Mentor(s): Gymama Slaughter
    UC 312 | 3:45 – 4 p.m.
  • Debora Diaz Diestra | Computer Science and Electrical Engineering
    Micromouse-X : UMBC Capstone Project
    Mentor(s): E.F. Charles LaBerge
    UC Ballroom | 10 – 11:30 a.m.
  • Anthony Ellis | Computer Science and Electrical Engineering
    UMBC Game Developers Club 2018-2019 Game Projects
    Mentor(s): Marc Olano
    UC Ballroom Lounge | 10 – Noon
  • Carllie Foley | Computer Science and Electrical Engineering
    Escape To Planet Earth
    Mentor(s): Marc Olano
    UC Ballroom Lounge | 10 – Noon
  • Charles Fox | Computer Science and Electrical Engineering
    Investigating Teamwork Quality Through Neural Networks And Text Analysis
    Mentor(s): Don Engel
    UC Ballroom | 10 – 11:30 a.m.
  • Jaylan Hall | Computer Science and Electrical Engineering
    Creating A Quadruped Robot With Walking And Wheeled Capabilities
    Mentor(s): Fow-Sen Choa
    UC Ballroom | 1 – 2:30 p.m.
  • Edward Hanson | Computer Science and Electrical Engineering
    Brain Guitar-Pedal Interface
    Mentor(s): E. F. Charles LaBerge
    UC Ballroom | 10 – 11:30 a.m.
  • Brian D. Hanson, Jr. | Computer Science and Electrical Engineering
    Fabrication Of A Wearable Temperature Sensing System For CIPA Patients
    Mentor(s): Gymama Slaughter
    UC 312 | 3:45 – 4 p.m.
  • Kit Heckman | Computer Science and Electrical Engineering
    UMBC Game Developers Club 2018-2019 Game Projects
    Mentor(s): Marc Olano
    UC Ballroom Lounge | 10 – Noon
  • Phillip Hilliard | Computer Science and Electrical Engineering
    Annotating And Predicting Contextual Sentiment In Text
    Mentor(s): Frank Ferraro
    UC Ballroom | 1 – 2:30 p.m.
  • Mark Horton | Computer Science and Electrical Engineering
    Brain Guitar-Pedal Interface
    Mentor(s): E. F. Charles LaBerge
    UC Ballroom | 10 – 11:30 a.m.
  • Mark Horton | Computer Science and Electrical Engineering
    Autoencoder Implementation For Embedded Reinforcement Learning
    Mentor(s): Tinoosh Mohsenin
    UC Ballroom | 10 – 11:30 a.m.
  • Ben Ireland | Computer Science and Electrical Engineering
    UMBC Atmospheric Lidar Group DATA: Distributed Systems & Cyber-Security Of Remote Sensing Profiling Network Testbed
    Mentor(s): Ruben Delgado
    UC 312 | 4 – 4:15 p.m.
  • Zachary Jones | Computer Science and Electrical Engineering
    Brain Guitar-Pedal Interface
    Mentor(s): E. F. Charles LaBerge
    UC Ballroom | 10 – 11:30 a.m.
  • Thomas Kohler | Computer Science and Electrical Engineering
    Micromouse-X : UMBC Capstone Project
    Mentor(s): E.F. Charles LaBerge
    UC Ballroom | 10 – 11:30 a.m.
  • Alex Leger | Computer Science and Electrical Engineering
    UMBC Game Developers Club 2018-2019 Game Projects
    Mentor(s): Marc Olano
    UC Ballroom Lounge | 10 – Noon
  • Josh Ludlow | Computer Science and Electrical Engineering
    UMBC Game Developers Club 2018-2019 Game Projects
    Mentor(s): Marc Olano
    UC Ballroom Lounge | 10 – Noon
  • Lucas McCullum | Computer Science and Electrical Engineering
    Development Of An Autonomous Vehicle For The Micromouse Competition
    Mentor(s): E F Charles LaBerge
    UC Ballroom | 1 – 2:30 p.m.
  • Andrew McLamb | Computer Science and Electrical Engineering
    Escape To Planet Earth
    Mentor(s): Marc Olano
    UC Ballroom Lounge | 10 – Noon
  • Stephanie Milani | Computer Science and Electrical Engineering
    A Hierarchical Framework For Norm-Aware Planning And Reinforcement Learning
    Mentor(s): Marie desJardins
    UC Ballroom | 10 – 11:30 a.m.
  • Shawn Oppermann | Computer Science and Electrical Engineering
    UMBC Game Developers Club 2018-2019 Game Projects
    Mentor(s): Marc Olano
    UC Ballroom Lounge | 10 – Noon
  • Nicholas Potteiger | Computer Science and Electrical Engineering
    Archiving Workflows In Cloud Based Storage
    Mentor(s): Douglas Thain
    UC Ballroom | 1 – 2:30 p.m.
  • Ben Przysucha | Computer Science and Electrical Engineering
    UMBC Game Developers Club 2018-2019 Game Projects
    Mentor(s): Marc Olano
    UC Ballroom Lounge | 10 – Noon
  • Zhou Qin | Computer Science and Electrical Engineering
    Micromouse-X : UMBC Capstone Project
    Mentor(s): E.F. Charles LaBerge
    UC Ballroom | 10 – 11:30 a.m.
  • Brendan Robison | Computer Science and Electrical Engineering
    Wizards
    Mentor(s): Marc Olano
    UC Ballroom Lounge | 10 – Noon
  • Shea Sandifer | Computer Science and Electrical Engineering
    UMBC Game Developers Club 2018-2019 Game Projects
    Mentor(s): Marc Olano
    UC Ballroom Lounge | 10 – Noon
  • Matthew Schweiss | Computer Science and Electrical Engineering
    Creating A Quadruped Robot With Walking And Wheeled Capabilities
    Mentor(s): Fow-Sen Choa
    UC Ballroom | 1 – 2:30 p.m.
  • Danielle Sherrod | Computer Science and Electrical Engineering
    Creating A Quadruped Robot With Walking And Wheeled Capabilities
    Mentor(s): Fow-Sen Choa
    UC Ballroom | 1 – 2:30 p.m.
  • Levan Sulimanov | Computer Science and Electrical Engineering
    Virtual Reality Mirror Therapy Rehabilitation For Post-Stroke Patients
    Mentor(s): Marc Olano
    UC Ballroom Lounge | 10 – Noon
  • Danilo Symonette | Computer Science and Electrical Engineering
    Toward The Application Of SVM’s For Text-Based Replication Of CATME Peer Evaluations
    Mentor(s): Don Engel
    UC Ballroom | 1 – 2:30 p.m.
  • Jordan Troutman | Computer Science and Electrical Engineering
    Understanding Machine Learning Bias Without A Ground Truth
    Mentor(s): Anand Sarwate
    UC Ballroom | 10 – 11:30 a.m.
  • Liam Upton | Computer Science and Electrical Engineering
    UMBC Game Developers Club 2018-2019 Game Projects
    Mentor(s): Marc Olano
    UC Ballroom Lounge | 10 – Noon
  • Jenna Westfall | Computer Science and Electrical Engineering
    Automatization Of Characterization Of Atmospheric Particles With Machine Learning
    Mentor(s): Ruben Delgado
    UC Ballroom | 1 – 2:30 p.m.
  • Brendan Witt | Computer Science and Electrical Engineering
    Using Augmented Reality And Smart Home Devices to Better Sense Users
    Mentor(s): Reynold Bailey
    UC Ballroom | 1 – 2:30 p.m.
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