Laurel D. Riek

Dr. Laurel Riek is the Clare Boothe Luce Assistant Professor of Computer Science and Engineering at the University of Notre Dame. Riek's research interests include robotics, human activity understanding, and healthcare engineering. She focuses on designing autonomous robots able to sense, respond, and adapt to human behavior. Her work also tackles real-world problems in healthcare, by designing robotics and sensing technology to improve patient safety, as well as to aid in mental and behavioral healthcare. Her research has been supported by the NSF, AFOSR, DOE, Luce Foundation, Adobe, and Amazon.
Prof. Riek has received the NSF CAREER Award, AFOSR Young Investigator Award, a Qualcomm Research Scholar Award, and several best paper awards. She also received five recognition awards at MITRE, and in 2014 was named as one of ASEE's 20 Faculty under 40. Riek serves on the editorial boards of IEEE Transactions on Human Machine Systems and IEEE Access, on the Steering Committee of the ACM/IEEE Conference on Human-Robot Interaction (HRI), and numerous conference program committees. She received her Ph.D. in Computer Science from the University of Cambridge, and her B.S. in Logic and Computation from Carnegie Mellon University.

Graduate Students

Maryam Moosaei

Maryam Moosaei is a fifth-year PhD student. Her research interests include robotics, synthesis of non-verbal behavior on robots, human-robot interaction, and computer vision. Her work explores building an expressive robotic head, as a next generation patient simulator. She received her M.Sc. in Computer Science and Engineering from Notre Dame in 2016, and her B.Sc. in Bio-Electrical Engineering from the University of Tehran. In 2014, her work on novel patient simulator systems was award the Best Overall Paper and Best Student Paper in Technology Innovation at the International Meeting for Simulation in Healthcare (IMSH)

Tariq Iqbal

Tariq Iqbal is a fifth-year PhD student. His research interests lie in the fields of Human-Robot Interaction, Social Signal Processing, Computer Vision, and Machine Learning. He received his M.Sc. in CS from the University of Texas at El Paso (UTEP) and B.Sc. in CSE from Bangladesh University of Engineering and Technology (BUET). Before joining UTEP, he worked as a Senior System Engineer in the leading telecommunication company (GrameenPhone Ltd.) in Bangladesh. He was awarded the AIJ student award at RSS 2016.

Angelique Taylor

Angelique M. Taylor is a second-year PhD student. Her research interests lie in the intersection of human-robot interaction and machine learning. Her work explores methods that address integrating robots into human social environments. Angelique received her B.S. in Electrical and Computer Engineering at the University of Missouri where she did research using machine learning techniques to perform classification in sonar imagery. She has been awarded the NSF Graduate Research Fellowship, the Google Anita Borg Memorial Fellowship, a Schmitt Award, and a GEM Fellowship.

Darren Chan

Darren Chan is a second-year PhD student. His research focuses are in robot perception, semantics, machine learning and computer vision. His work explores methods in affordance learning, modeling and prediction in context-sensitive environments. He received his M.S. in Electrical Engineering from California Polytechnic State University in San Luis Obispo, with distinction, and achieved the Outstanding Graduate Student award for the graduating class of 2015. Aside from his research, he is proficient at designing mechatronic systems and electronics.

Margot Hughan

Margot is a Masters student. Her research focuses on robotics, design, and controls. She received her B.Sc. in Mechanical Engineering from the University of Notre Dame in 2016.

Undergraduate Students

Vanice Cheung (Senior, CSE)

Vanice Cheung is senior Computer Science major. Her research interests includes human computer interaction and health informatics. She works on multimodal interfaces for improving communication in medical settings, and has published at Pervasive Health.

Natalie Alvarez (Soph, CSE)

Natalie Alvarez is a sophomore Computer Science major. Her research interests include robotics and health informatics

Gina Gilmartin (Senior, EE)

Gina Gilmartin is a senior Electrical Engineering major. Her research interests include robotics and human-robot interaction


Lab Graduates

Lab graduates:
    Michael Gonzales, PhD 2016, Intel
    Cory Hayes, PhD 2016, Army Research Lab

    Maryam Moosaei, MS 2016, PhD
    Tariq Iqbal, MS 2016, PhD
    Michael Gonzales, MS 2015, PhD 2016, Intel
    Cory Hayes, MS 2014, PhD 2016, Interviewing
    Maria O'Connor, MS 2011, Amazon

    Caitlin Gruis, BS 2016, Berkeley, EECS Grad School
    Samantha Rack, BS 2016, Epic
    Enrick Hinlo, BS 2016, US Air Force
    Karen Kozvlosky, BS 2016, Stryker
    Bridget Harrington, BS 2016, Law school
    Christine Gerardi, BS 2015, Univ. of Southern California, Computer Science Grad School
    Michael Martinez, BS 2015, University College Dublin, Computer Science Grad School
    Philip Moss, Adams 2014, Duke, Computer Science
    Elise Eiden, BS 2014, AT&T
    Alexandra Janiw, BS 2014, Cardinal Health
    Chas Jhin, BS 2014, Civis Analytics
    Allison Rzepczynski, BS 2012, Stritch School of Medicine.
    Tina Yue, BS 2012, Acuity Group
    Tim Martin, BS 2012, National Cancer Institute