Emily M. Hand Curriculum Vitae
Education
2018 Doctor of Philosophy, University of Maryland, College Park.
2015 Master of Science, University of Maryland, College Park.
2013 Bachelor of Science in Computer Science and Engineering, 推荐杏吧原创.
2013 Bachelor of Science, 推荐杏吧原创, Applied Mathematics.
Ph.D. Thesis
Title: Learning Explainable Facial Features from Noisy Unconstrained Visual Data
Supervisor: Professor Rama Chellappa
Description: This thesis explores what is needed to build robust models for human describable features of faces.
Experience
Research
July 2018 – Present
Assistant Professor, Computer Science and Engineering, 推荐杏吧原创.
May 2017 – March 2018
Research Intern, Diffbot Inc., Mountain View, CA.
Use semantic segmentation to localize facial attributes for accurate face descriptions and improved face detections.
2013 – May 2018
Research Intern, Naval Research Laboratory, Washington, DC.
Developed a method for neural networks, regularizing the network, and facilitating training of deeper networks.
Summer 2014
Research Intern, NASA Jet Propulsion Laboratory, Pasadena, CA.
Incorporated stereo data into Random Forest classification of geologic types.
Summer 2012, 2013
Research Intern, NASA AMES, Moffett Field, CA.
Developed a structure from motion framework compatible with other localization techniques for use on low-resolution rover and high-resolution planetary images with the Advanced Navigation subgroup of the Intelligent Robotics Group.
Nov. 2010 – Dec. 2012
Undergraduate Research Assistant, 推荐杏吧原创, NV.
Improved performance of template tracking system using Random Projections in place of Principal Component Analysis for dimensionality reduction.
Summer 2011
NSF REU Participant, University of Central Florida, Orlando, FL.
Developed a template-based tracking framework for use in a larger human tracking system.
Teaching
Fall 2020
Instructor, Intro to Machine Learning, 推荐杏吧原创.
Instructor, Representation Learning, 推荐杏吧原创.
Fall 2019
Instructor, Intro to Machine Learning, 推荐杏吧原创.
Instructor, Computational Linguistics, 推荐杏吧原创.
Fall 2018
Instructor, Intro to Machine Learning, 推荐杏吧原创.
Fall 2017
Co-Instructor, Machine Learning, University of Maryland.
Gave lectures, created and graded homework, programming projects, and exams, and held office hours for undergraduate Machine Learning class.
August 2013 – May 2014
Graduate Teaching Assistant, Artificial Intelligence, University of Maryland. Created and graded homework, quizzes, programming projects, and exams for undergraduate Artificial Intelligence class.
Fall 2012
Undergraduate Teaching Assistant, Analysis of Algorithms, University of Nevada. Graded homework and programming projects, and held office hours for undergraduate Algorithms class.
Service
Feb. 2020
Speaker, TEDx University of Nevada.
Nov. 2019
Speaker, US State Department Speaker Series, Toronto & Montreal, CA.
Feb. 2019 – Present
Facilitator (Instructor), Girls Who Code (Reno, NV).
July 2018 – Present
Faculty Advisor, UNR Women into Computer Science and Engineering (WiCSE).
August 2017 – May 2018
Chair, UMD Computer Science Graduate Organization.
Feb. 2017 – May 2018
Facilitator (Instructor), Girls Who Code (Silver Spring, MD).
2016 – May 2018
Student Member, AAAI.
2014 – May 2018
Student Member, ACM.
2014 – May 2018
Student Member, IEEE.
2013 – May 2018
Student Member, SIAM.
Jan. 2011 – May 2013
UNR Student Member, ACM.
Nov. 2010 – May 2013
UNR Student Member and Chair, Women into Computer Science and Engineering (WiCSE).
Selected Sponsored Research
08/2019 – 07/2022
RI: SMALL: Towards Human-Level Face Verification Performance using Facial Caricatures, National Science Foundation (NSF), PI, $419,979.
12/2018 – 06/2019
Computer Vision Synthetic Image Generation Harness for Training and Testing (CV-SIGHTT) Phase I, Strategic Capabilities Office (SCO), Next Century Corporation SBIR, $44,988.
Training
2020
ASEE Safe Zone Training, I & II.
CITI Training for Human Subjects Research.
2019
UNR Teaching with Technology Program.
Association of College and University Educators (ACUE), Certificate in Effective Instruction.
Awards and Honors
2020
推荐杏吧原创 Senior Scholar Mentor for Derek Stratton 2019 推荐杏吧原创 CSE Senior Scholar Mentor for Jeremy Speth
2017-2018
University of Maryland Future Faculty Fellow 2013-2015 University of Maryland Dean’s Fellowship
2014
NSF Graduate Research Fellowship Program, Honorable Mention
Competitions
2016
"Attributes for Improved Attributes: A Multi-Task Network for Attribute Recognition" abstract accepted into the University of Maryland Graduate Research Appreciation Day.
2014
"Higher-Order Contract Counterexamples" abstract accepted into the ACM Student Research Competition of the International Conference on Functional Programming.
Conference Publications
2020
Harpreet Singh, Emily M. Hand, Kostas Alexis, "Anomalous Motion Detection on High- way using Deep Learning", International Conference on Image Processing, 2020.
Dustin K. Barnes, Sara R. Davis, Emily M. Hand, Sushil J. Louis, "A First Step To- ward Incremental Evolution of Convolutional Neural Networks", Genetic and Evolutionary Computation Conference, 2020.
Russell Reinhart, Tung Dang, Emily M. Hand, Christos Papachristos, Kostas Alexis "Learning-Based Path Planning for Autonomous Exploration of Subterranean Environments", International Conference on Robotics and Automation, 2020.
2019
Jeremy Speth, Emily M. Hand, "Automated Label Noise Identification for Facial Attribute Recognition," Computer Vision and Pattern Recognition Workshops, 2019.
2018
Emily M. Hand, Carlos Castillo, Rama Chellappa, "Predicting Facial Attributes in Video using Temporal Coherence and Motion-Attention," Winter Conference on Applications of Computer Vision, 2018.
Emily M. Hand, Carlos Castillo, Rama Chellappa. "Doing the Best We Can with What We Have: Multi-Label Balancing with Selective Learning for Attribute Prediction," in AAAI Conference on Artificial Intelligence, 2018.
2017
Emily M. Hand and Rama Chellappa. "Attributes for Improved Attributes: A Multi-Task Network Utilizing Implicit and Explicit Relationships for Facial Attribute Classification," in AAAI Conference on Artificial Intelligence, 2017.
2016
Maya Kabkab, Emily M. Hand, Rama Chellappa, "On the Size of Convolutional Neural Networks and Generalization Performance," in International Conference on Pattern Recognition, 2016.
Leslie N. Smith, Emily M. Hand, Timothy Doster, "Gradual DropIn of Layers to Train Very Deep Neural Networks," in Computer Vision and Pattern Recognition, 2016.
2014
A.V. Nefian, X. Bouyssounouse, L. Edwards, T. Kim, E. M. Hand, J. Rhizor, M. Deans, G. Bebis, T. Fong, "Planetary Rover Localization within Orbital Maps," in the International Conference on Image Processing, 2014
Emily M. Hand, Darsana Josyula, Matthew Paisner, Elizabeth McNany, Michael T. Cox and Don Perlis, "Two Approaches to Implementing Metacognition," in The Sixth Inter- national Conference on Advanced Cognitive Technologies and Applications, COGNITIVE 2014.
2013
Don Perlis, Mike Cox, Michael Maynord, Elizabeth McNany, Matthew Paisner, Vika Shivashankar, Emily M. Hand, Jared Shamwell, Tim Oates, Tongchun Du, Darsana Josyula and Manual Caro, "A Broad Vision for Intelligent Behavior: Perceptual Real- World Cognitive Agents," in Advances in Cognitive Systems, Workshop on Metacognition and Artificial Situated Agents 2013.
2012
Guang Shu, Afshin Dehghan, Omar Oreifej, Emily M. Hand, Mubarak Shah, "Part- based Multiple-Person Tracking with Partial Occlusion Handling," in Computer Vision and Pattern Recognition, 2012.
Book Chapters
2017
Pouya Samangouei, Emily M. Hand, Vishal M. Patel, Rama Chellappa (2017). "Active Authentication Using Facial Attributes," in Guodong Guo and Harry Wechsler (Eds.) Mobile Biometrics (pp. 131-153), London, UK, The Institution of Engineering and Technology.
Patents
2017
Pouya Samangouei, Vishal M. Patel, Rama Chellappa, Emily M. Hand, University of Maryland, College Park, 2017. Attribute-Based Continuous User Authentication on Mobile Devices. U.S. Patent Application 15/215,576.