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Welcome. I am Mostafa Mirshekari, currently a senior machine learning research scientist in Searcheble.ai and working on very cool research projects in deep learning for Natural Language Processing and Computer Vision. Prior to joining Searchable, I have beed a postdoctoral scholar in Stanford University and before that, I got my PhD from Carnegie Mellon University working with Haeyoung Noh and Pei Zhang. The main theme of my research in Stanford and CMU has been Physics-guided machine learning and using the Structures as Sensors (SaS).

News

07/2019

In the fall semester, I will present my research in the following universities:

  • NYU (Nov 15th)
  • Princeton (Nov 12th)
  • UC Irvine (Oct 25th)
  • Caltech (Oct 24th)
  • UCSD (Oct 23rd)
  • UCLA (Oct 22nd)
  • UMD (Oct 18th)
  • UC Merced (Sep 13th)

07/2019

07/2019

06/2019

I have won the best student paper competition of dynamics committee in EMI 2019.

06/2019

I am the session co-chair of 'MS94+23 - Integration of Physics-Based Models with Data for Model Identification, Updating, and Uncertainty Quantification, Robustness of infrastructures' in EMI 2019 with Babak Moaveni.

05/2019

I am the recipient of the Outstanding Teaching Assistant Award from the CEE department, CMU.

05/2019

05/2019

I am the publicity co-chair of ACM Buildsys 2019 with Clayton Miller.

04/2019

Our poster titled "Gait Health Monitoring Through Footstep-Induced Floor Vibrations" won the best poster award in CPS Week 2019.

12/2018

Our paper titled "MedAL: Accurate and Robust Deep Active Learning for Medical Image Analysis" won the best paper award in ICMLA 2018.

About Me

Education

May 2015 - Present

Carnegie Mellon University

USA

PhD in Civil & Environmental Engineering

Aug 2014 - May 2015

Carnegie Mellon University

USA

M.Sc. in Civil & Environmental Engineering

Feb 2012 - Sep 2013

University of Technology

Malaysia

M.Eng. in Structural Engineering

Aug 2008 - May 2011

University of Tehran

Iran

M.Sc. in Project & Construction Management

Aug 2003 - May 2008

University of Tehran

Iran

B.Sc. in Civil Engineering

Awards & Honours

2019

Best Student Paper Award

Dynamics Comittee, Engineering Mechanics Institute (EMI 2019) Conference

2019

Outstanding Teaching Assistant Award

Department of Civil and Environmental Engineering, CMU

2019

Best Poster Award

The 18th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN 2019)

2018

Best Student Paper Award

Dynamics Comittee, Engineering Mechanics Institute (EMI 2018) Conference

2017

John and Claire Bertucci Fellowship

Carnegie Mellon University

2016

Best Poster Award

The ACM Conference on Embedded Networked Sensor Systems (Sensys 2016)

2016

Fenves Travel Grant

for Attending Sensys Conference in Stanford, CA Carnegie Mellon University

2016

Fenves Travel Grant

for Attending EMI Conference in Nashville, TN Carnegie Mellon University

2015

Dean's List

Carnegie Mellon University

2015

Best Poster Award

Cyber Physical Systems (CPS) Week 2015~(among five top conferences)

2013

Best Student Award

University of Technology, Malaysia

Working Experience

Intern May 2017 – Aug 2017

Homma Inc

Palo Alto, California, USA

Course description: Homma Inc. is an AI based software and service company for connected homes. My role in the company was to use my experience in user localization and recognition to provide them with better tools for smart homes.

Projects

Structure As Sensors
Structure As Sensors

Teaching

Guest Lecturer

2017, 2018, 2019

  • Lecture Topic: Support Vector Machines as part of Special Topics: Sensing and Data Mining for Smart Structures and Systems (12-761)
  • Course description: Support Vector Machine (SVM) is a deterministic supervised learning approach used for regression and classification. In this lecture, I intuitively discuss the main concepts of SVM and provide its mathematical formulation.

2017, 2018

  • Lecture Topic: Model Performance, Bias and Variance as part of Special Topics: Sensing and Data Mining for Smart Structures and Systems (12-761)
  • Course description: Assessing the machine learning model performance is an important step in developing accurate ML models. Furthermore, understanding bias, variance, and noise are very important in understanding basic ML concepts such as overfitting which are necessary for model training and troubleshooting. In this course, I discuss these concepts intuitively and through real-life examples (and provide mathematical formulations).

2019

  • Lecture Topic: Tutorial for Data Collection using Arduino as part of Special Topics: Sensing and Data Mining for Smart Structures and Systems (12-761)
  • Course description: Arduino is an easy-to-use and cheap microcontroller which can be used for data collection. In this hands-on course, I have walked the students through the process of setting up their arduinos, making and connecting their sensing boards, and collecting the data. I have also touched upon some sensing concepts such as resolution and sampling frequency when using the Arduino.

2018

  • Lecture Topic: Basics of Signals and Systems and Stochastic Processes as part of Special Topics: Sensing and Data Mining for Smart Structures and Systems (12-761)
  • Course description: This course discusses the basics of signals and Systems and stochastic processes which are important in understanding, characterizing, and modelling the dynamic systems. Some of the main concepts discussed in this lecture are: Linear Time-Invariant (LTI) systems, Time vs. Frequency domain analysis, Stochastic Processes and their characteristics, Stationarity, Auto-correlation and Cross-correlation Function, Auto and Power Spectral Densities, Cross-Spectral Density, and Coherence Function.

Teaching Assistant

2017, 2018, 2019

  • Course Title: Special Topics: Sensing and Data Mining for Smart Structures and Systems (12-761)
  • Teaching Faculties: Professor Hae Young Noh
  • Course description: This course introduces smart monitoring systems for physical structures and systems using sensing and data analytics. This is a project-based course and the objective is for students to understand the overall process from obtaining data to specific application performance in a systematic way. For this course, I have guided multiple groups in finding and formulating interesting and unique problems and developing suitable and novel solutions.

2015

  • Course Title: Civil and Environmental Engineering Design (12-401)
  • Teaching Faculties: Professor Larry Cartwright, Professor Jim Thompson, Professor Sarah Christian
  • Course description: A project-based course concentrating on methodology for formulating and solving design problems, characterized by incomplete specifications, open-ended solution space, and partial evaluations.

Other Teaching Activities

Since 2015

  • Future Faculty Candidate
  • Program description: The Future Faculty Program helps graduate students develop and document their teaching skills in preparation for a faculty career. Participants in this program learn the principles of effective course design and pedagogy through the seminars, receive feedback on their teaching through teaching feedback consultations, and apply what they have learned in completing a course and syllabus design project and a statement of teaching philosophy project.

Publications

Under Review Publications

Obstruction-Invariant Occupant Localization using Footstep-Induced Floor Vibrtions

[UJ3] Mirshekari, M., Fagert, J., Pan, S., Zhang, P. and Noh, H.Y., 2019. Obstruction-Invariant Occupant Localization using Footstep-Induced Floor Vibrtions. Under review in Sensors.

Gait Balance Symmetry Estimation using Footstep Induced Structural Floor Vibrations

UJ2] Fagert, J., Mirshekari, M., Pan, S., Zhang, P. and Noh, H.Y., 2019. Gait Balance Symmetry Estimation using Footstep Induced Structural Floor Vibrations. Under review in Sensors.

Online Active Deep Learning for Medical Image Analysis

[UJ2] Smailagic, A., Cost, P., Gaudio, A., Khandelwal, K., Mirshekari, M., Fagert, J., Walawalkar, D., Xu, S., Galdran, A., Zhang, P., Campilho, A. and Noh, H.Y., 2019. O-MedAL: Online Active Deep Learning for Medical Image Analysis. Under review in Data Mining and Knowledge Discovery.

Journal Publications

Indirect Sensing for Inferring Users and Environments

[J7] P. Zhang, S. Pan, Mirshekari, M., J. Fagert, and H. Noh, ”Structures as Sensors: Indirect Sensing for Inferring Users and Environments,” Computer, vol. 52, no. 10, pp. 84-88, 2019

Step-Level Occupant Detection across Different Structures through Footstep-Induced Floor Vibration using Model Transfer

[J6] Mirshekari, M., Pan, S., Fagert, J., Zhang, P. and Noh, H.Y., 2019. Step-Level Occupant Detection across Different Structures through Footstep-Induced Floor Vibration using Model Transfer. Accepted in Journal of Engineering Mechanics.

Area Occupancy Counting Through Sparse Structural Vibration Sensing

[J5] Pan, S., Mirshekari, M., Fagert, J., Ruiz, C., Noh, H. Y., and Zhang, P. (2019). Area Occupancy Counting Through Sparse Structural Vibration Sensing. IEEE Pervasive Computing, 18(1), 28-37. PDF

Occupant localization using footstep-induced structural vibration

[J4] Mirshekari, M., Pan, S., Fagert, J., Schooler, E.M., Zhang, P. and Noh, H.Y., 2018. Occupant localization using footstep-induced structural vibration. Mechanical Systems and Signal Processing, 112, pp.77-97. PDF

Characterizing human activity induced impulse and slip-pulse excitations through structural vibration

[J3] Pan, S., Mirshekari, M., Fagert, J., Ramirez, C.G., Chung, A.J., Hu, C.C., Shen, J.P., Zhang, P. and Noh, H.Y., 2018. Characterizing human activity induced impulse and slip-pulse excitations through structural vibration. Journal of Sound and Vibration, 414, pp.61-80. PDF

Indoor pedestrian identification through ambient structural vibration sensing

[J2] Pan, S., Yu, T., Mirshekari, M., Fagert, J., Bonde, A., Mengshoel, O.J., Noh, H.Y. and Zhang, P., 2017. Footprintid: Indoor pedestrian identification through ambient structural vibration sensing. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 1(3), p.89. PDF

Collaboratively adaptive vibration sensing system for high-fidelity monitoring of structural responses induced by pedestrians

[J1] Pan, S., Xu, S., Mirshekari, M., Zhang, P. and Noh, H.Y., 2017. Collaboratively adaptive vibration sensing system for high-fidelity monitoring of structural responses induced by pedestrians. Frontiers in Built Environment, 3, p.28. PDF

Peer Reviewed Conference Publications

Accurate and Robust Deep Active Learning for Medical Image Analysis

[PRC5] Smailagic, A., Costa, P., Noh, H.Y., Walawalkar, D., Khandelwal, K., Galdran, A., Mirshekari, M., Fagert, J., Xu, S., Zhang, P. and Campilho, A., 2018, December. MedAL: Accurate and Robust Deep Active Learning for Medical Image Analysis. In 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA) (pp. 481-488). IEEE. PDF

Occupant Activity Level Estimation Using Floor Vibration

[PRC4] Zhang, Y., Pan, S., Fagert, J., Mirshekari, M., Noh, H.Y., Zhang, P. and Zhang, L., 2018, October. Occupant Activity Level Estimation Using Floor Vibration. In Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers (pp. 1355-1363). ACM. PDF

Human Gait Monitoring Using Footstep-Induced Floor Vibrations Across Different Structures

[PRC3] Mirshekari, M., Fagert, J., Bonde, A., Zhang, P. and Noh, H.Y., 2018, October. Human Gait Monitoring Using Footstep-Induced Floor Vibrations Across Different Structures. In Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers (pp. 1382-1391). ACM. PDF

Iterative learning using physical constraints in real-world sensing data

[PRC2] Yu, T., Pan, S., Xu, S., Chen, X., Mirshekari, M., Fagert, J., Noh, H.Y., Zhang, P. and Mengshoel, O.J., 2018, June. Ilpc: Iterative learning using physical constraints in real-world sensing data. In Workshops at the Thirty-Second AAAI Conference on Artificial Intelligence. PDF

vibration-based tap & swipe tracking on ubiquitous surfaces

[PRC1] Pan, S., Ramirez, C.G., Mirshekari, M., Fagert, J., Chung, A.J., Hu, C.C., Shen, J.P., Noh, H.Y. and Zhang, P., 2017, April. Surfacevibe: vibration-based tap & swipe tracking on ubiquitous surfaces. In 2017 16th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) (pp. 197-208). IEEE. PDF

Other Conference Papers

Characterizing left-right gait balance using footstep-induced structural vibrations

[OC5] Fagert, J., Mirshekari, M., Pan, S., Zhang, P. and Noh, H.Y., 2017, April. Characterizing left-right gait balance using footstep-induced structural vibrations. In Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2017 (Vol. 10168, p. 1016819). International Society for Optics and Photonics. PDF

Monitoring hand-washing practices using structural vibrations

[OC4] Fagert, J., Mirshekari, M., Pan, S., Zhang, P. and Noh, H.Y., 2017. Monitoring hand-washing practices using structural vibrations. Structural Health Monitoring. PDF

Occupant traffic estimation through structural vibration sensing

[OC3] Pan, S., Mirshekari, M., Zhang, P. and Noh, H.Y., 2016, April. Occupant traffic estimation through structural vibration sensing. In Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2016 (Vol. 9803, p. 980306). International Society for Optics and Photonics. PDF

Characterizing wave propagation to improve indoor step-level person localization using floor vibration

[OC2] Mirshekari, M., Pan, S., Zhang, P. and Noh, H.Y., 2016, April. Characterizing wave propagation to improve indoor step-level person localization using floor vibration. In Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2016 (Vol. 9803, p. 980305). International Society for Optics and Photonics. PDF

Robust occupant detection through step-induced floor vibration by incorporating structural characteristics

[OC1] Lam, M., Mirshekari, M., Pan, S., Zhang, P. and Noh, H.Y., 2016. Robust occupant detection through step-induced floor vibration by incorporating structural characteristics. In Dynamics of Coupled Structures, Volume 4 (pp. 357-367). Springer, Cham. PDF

Posters, Extended Abstracts, and Demos

Structural Property Guided Gait Parameter Estimation Using Footstep-Induced Floor Vibrations

[EA5] Fagert, J., Mirshekari, M., Pan, S., Zhang, P., & Noh, H. Y. (2020). Structural Property Guided Gait Parameter Estimation Using Footstep-Induced Floor Vibrations. In Dynamics of Civil Structures, Volume 2 (pp. 191-194). Springer, Cham.

Gait health monitoring through footstep-induced floor vibrations

[P5] Fagert, J., Mirshekari, M., Pan, S., Zhang, P., & Noh, H. Y. (2019, April). Gait health monitoring through footstep-induced floor vibrations. In Proceedings of the 18th International Conference on Information Processing in Sensor Networks (pp. 319-320). ACM. PDF

Characterizing Structural Changes to Estimate Walking Gait Balance

[EA4] Fagert, J., Mirshekari, M., Pan, S., Zhang, P., & Noh, H. Y. (2019). Characterizing Structural Changes to Estimate Walking Gait Balance. In Dynamics of Civil Structures, Volume 2 (pp. 333-335). Springer, Cham. PDF

Vibration-Based Occupant Activity Level Monitoring System

[D1] Zhang, Y., Pan, S., Fagert, J., Mirshekari, M., Noh, H.Y., Zhang, P. and Zhang, L., 2018, November. Vibration-Based Occupant Activity Level Monitoring System. In Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems (pp. 349-350). ACM. PDF

Seat vibration for heart monitoring in a moving automobile

[EA3] Bonde, A., Mirshekari, M., Fagert, J., Pan, S., Noh, H.Y. and Zhang, P., 2018, November. Seat vibration for heart monitoring in a moving automobile. In Proceedings of the First Workshop on Data Acquisition To Analysis (pp. 7-8). ACM. PDF

Occupant-induced office floor vibration dataset for activity level monitoring

[EA2] Zhang, Y., Pan, S., Fagert, J., Mirshekari, M., Noh, H.Y., Zhang, P. and Zhang, L., 2018, November. Occupant-induced office floor vibration dataset for activity level monitoring. In Proceedings of the First Workshop on Data Acquisition To Analysis (pp. 5-6). ACM. PDF

Calibration-free footstep frequency estimation using structural vibration

[EA1] Mirshekari, M., Zhang, P. and Noh, H.Y., 2017. Calibration-free footstep frequency estimation using structural vibration. In Dynamics of Civil Structures, Volume 2 (pp. 287-289). Springer, Cham. PDF

Multiple pedestrian tracking through ambient structural vibration sensing

[P4] Pan, S., Lyons, K., Mirshekari, M., Noh, H.Y. and Zhang, P., 2016, November. Multiple pedestrian tracking through ambient structural vibration sensing. In Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems (pp. 366-367). ACM. PDF

Non-intrusive occupant localization using floor vibrations in dispersive structure

[P3] Mirshekari, M., Zhang, P. and Noh, H.Y., 2016, November. Non-intrusive occupant localization using floor vibrations in dispersive structure. In Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems (pp. 378-379). ACM. PDF

Structural sensing system with networked dynamic sensing configuration

[P2] Pan, S., Mirshekari, M., Noh, H.Y. and Zhang, P., 2015, April. Structural sensing system with networked dynamic sensing configuration. In Proceedings of the 14th International Conference on Information Processing in Sensor Networks (pp. 344-345). ACM. PDF

Step-level person localization through sparse sensing of structural vibration

[P1] Mirshekari, M., Pan, S., Bannis, A., Lam, Y.P.M., Zhang, P. and Noh, H.Y., 2015, April. Step-level person localization through sparse sensing of structural vibration. In proceedings of the 14th international conference on information processing in sensor networks (pp. 376-377). ACM. PDF

Invited Talks and Presentations

Engineering Mechanics Institute (EMI) Conference, Los Angeles, California, USA

[T7] Mirshekari, M., Fagert, J., Pan, S., Zhang, P. and Noh, H.Y., 2019, Obstruction-Invariant Indoor Occupant Localization Using Footstep-Induced Structural Vibration. in Engineering Mechanics Institute (EMI) Conference, Los Angeles, California, USA

The Seventh World Conference on Structural Control and Monitoring (7WCSCM), Qingdao, China

[IT1] Mirshekari, M., Pan, S., Fagert, J., Zhang, P. and Noh, H.Y., 2018, Calibration-Free Occupant Localization using Structural Vibration through Locally Adaptive Multilateration. in The Seventh World Conference on Structural Control and Monitoring (7WCSCM), Qingdao, China

The Seventh World Conference on Structural Control and Monitoring (7WCSCM), Qingdao, China

[T6] Pan, S., Mirshekari, M., Fagert, J., Zhang, P. and Noh, H.Y., 2018, Structural Element Modeling for Vibration-based Indoor Human Sensing Configuration. in The Seventh World Conference on Structural Control and Monitoring (7WCSCM), Qingdao, China

Conference on Smart Materials, Adaptive Structures and Intelligent Systems (SMASIS), San Antonio, Texas, USA

[T5] Mirshekari, M., Fagert, J., Pan, S., Zhang, P. and Noh, H.Y., 2018, Buildings as Sensors: Indirect Monitoring of Human Activities through Structural Vibrations. in Conference on Smart Materials, Adaptive Structures and Intelligent Systems (SMASIS), San Antonio, Texas, USA

Engineering Mechanics Institute (EMI) Conference, Boston, Massachusetts , USA

[T4] Mirshekari, M., Fagert, J., Pan, S., Zhang, P. and Noh, H.Y., 2018, Human Health Tracking through Gait-Induced Floor Vibrations Across Different Structures. in Engineering Mechanics Institute (EMI) Conference, Boston, Massachusetts , USA

SNU-CMU Student Workshop, Pittsburgh, Pennsylvania, USA

[T3] Mirshekari, M., Zhang, P. and Noh, H.Y., 2017, Characterizing Wave Propagation to Improve Indoor Person Localization using Floor Vibration. in SNU-CMU Student Workshop, Pittsburgh, Pennsylvania, USA

Engineering Mechanics Institute (EMI) Conference, San Diego, California, USA

[T2] Mirshekari, M., Fagert, J., Pan, S., Zhang, P. and Noh, H.Y., 2017, Occupant Localization in Obstructed Indoor Environments using Floor Vibrations. in Engineering Mechanics Institute (EMI) Conference, San Diego, California, USA

Engineering Mechanics Institute (EMI) Conference, Nashville, Tennessee, USA

[T1] Mirshekari, M., Zhang, P. and Noh, H.Y., 2016, Structure-Invariant Indoor Person Localization using Structural Vibration. in Engineering Mechanics Institute (EMI) Conference, Nashville, Tennessee, USA

In the Media

Our research on Occupant Monitoring using Structural Vibration has been discussed in:

Our research on Active Learning for analyzing medical images has been discussed in:

I have been mentioned in CMU CEE Magazine multiple times for various reasons.

Service

Professional Activities

Organizing Committee (OC)

  • General Co-Chair. The 1st ACM International Workshop on Device-Free Human Sensing (DFHS 2019)
  • Publicity Co-Chair. The 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys 2019)

Technical Programming Committee (TPC)

  • Continual and Multimodal Learning for Internet of Things, A Ubicomp 2019 Workshop
  • Combining Physical and Data-Driven Knowledge in Ubiquitous Computing (CPD), A Ubicomp 2019 Workshop

Session Chair/Co-Chair

  • MS94+23 - Integration of Physics-Based Models with Data for Model Identification, Updating, and Uncertainty Quantification, Robustness of infrastructures in ASCE Engineering Mechanics Institute (EMI) Conference, 2019
  • Human Performance Sensing and Condition Monitoring in ASCE Engineering Mechanics Institute (EMI) Conference, 2017

Reviewer

  • Journal of Engineering Mechanics (2019-present)
  • Mechanical Systems and Signal Processing (2018-present)
  • Frontiers in Built Environment (2018-present)
  • Advances in Science, Technology and Engineering Systems Journal (2018-present)
  • The Journal of the Acoustical Society of America Express Letters (2017-present)

Outreach and Service

Teaching Assistant Volunteer

Summer Engineering Experience for Girls (SEE) - 2016 (for more info about this program, refer to  More)

Outreach Volunteer

National Engineers Week “Engineer the Future” - 2016 (for more info about this program, refer to More)

Teaching Assistant Volunteer

ummer Engineering Experience for Girls (SEE) - 2015 (for more info about this program, refer to More)

Outreach Volunteer

National Engineers Week “Engineer the Future” - 2015 (for more info about this program, refer to  More)

Professional Societies and Affiliations

ASCE EMI Structural Health Monitoring and Control Committee (2018-present)

SPIE member (2016-present)

American Society of Civil Engineers (ASCE) (2015-present)

Students

I have mentored many talented students and learned a lot from them in the process. Some of these students include:

2019

Summer Tao

Charyl Tan

Charyl was doing research with us during the summer of 2019. She was in charge of preparing a localization demo for the footstep project (inspired by the Harry Potter's Marauder map). During this time, I had meeting with her at least once a week and tracked her progress. I also worked closely with her to develop a visualization for the demo using Matlab app development toolbox.

Sarah Hamilton

Sarah was doing research with us during the summer of 2019. She was in charge of collecting data, do some data mining analysis, and possibly help with the writing of a journal paper about handwashing. During this time, I had meeting with her on a weekly basis and tracked her progress. I also worked closely with her to collect the data and develop the algorithms.

Laixi Shi

Laixi was doing research with us during the spring of 2019. She was working on the multiple people tracking problem. As part of this project, we had frequent meetings and discussed the algorithm development. The result of this collaboration was a paper submitted to Sensys 2019.

2018

Clara Nelson & Ahmed Al-badawi

Clara and Ahmed were working with us during the summer of 2018. They were in charge of designing, building, and modelling a wooden floor platform. During this time, we had frequent meetings to track the project progress. The created floor has been used in many of the following papers.

2017

Edmund Lee

Edmund was working with me during the spring of 2017. He was in charge of analyzing a large vibration dataset we have collected in a nursing home. During this time, we had weekly meetings to track the project progress, prepare the data visualizations, and develop the necessary algorithms to query the data. Further, I have guided him for developing codes to synchronize the camera and vibration data.

2016

Yubo Zhang

Yubo was working with me during the winter of 2016. She was in charge of analyzing the video dataset we have collected in a nursing home. During this time, we had weekly meetings to track the project progress and discuss the project. Further, I have guided her for developing codes and algorithms to detect motion and localize objects using video data.

Angela Wu

Angela was working with me during the summer of 2016. She was in charge of transferring our footstep detection demo from labview to the data acquisition toolbox of Matlab. During this time, we had weekly meetings to track the project progress and discuss the project. Further, we have worked closely on conducting a 2-weeks deployment in a nursing home in Pittsburgh. This video summarizes our collaboration.

Qianyue Zhang

Qianyue (Claire) was working with me during the spring of 2016. She was working with us on collecting some footstep data. During this time, we had weekly meetings to track the project progress and discuss the project.

Contact

image