Andrew Kun

Andrew Kun
PROFESSOR
Electrical and Computer Engineering
Phone: (603) 862-4175
Office: Electrical & Computer Engineering, Kingsbury Hall Rm W219, Durham, NH 03824
Website: Full profile: FindScholars@UNH
Andrew Kun

Andrew L. Kun was born in Szeged, Hungary in 1968. He received his BS, MS, and PhD degrees in electrical engineering from the University of New Hampshire in 1992, 1994, and 1997, respectively. He has been an assistant and then associate professor at the Electrical and Computer Engineering Department of the University of New Hampshire since September 2000.

Education

  • Ph.D., Engineering, University of New Hampshire
  • M.S., Electrical&Electronic Eng. Tec, University of New Hampshire
  • B.S., Electrical&Electronic Eng. Tec, University of New Hampshire

Courses Taught

  • ECE 634: Signals and Systems II
  • ECE 714/814: Intro Digital Signal Process
  • ECE 724: Ubicomp Fundamentals
  • ECE 814: Intro Digital Signal Process
  • ECE 824: Ubicomp Fundamentals
  • ECE 900A: R&D Concept to Communication 1
  • ECE 900B: R&D Concept to Communication 2
  • ECE 924: Ubiquitous Computing
  • ECE 994: AdvTop/Hmn-Cmp Interaction
  • ECE 999: Doctoral Research

Selected Publications

Teodorovicz, T., Sadun, R., Kun, A. L., & Shaer, O. (2022). How does working from home during COVID-19 affect what managers do? Evidence from time-Use studies. HUMAN-COMPUTER INTERACTION, 37(6), 532-557. doi:10.1080/07370024.2021.1987908

Mark, G., Kun, A. L., Rintel, S., & Sellen, A. (2022). Introduction to this special issue: the future of remote work: responses to the pandemic. HUMAN-COMPUTER INTERACTION, 37(5), 397-403. doi:10.1080/07370024.2022.2038170

Becerra, Z. M., Fereydooni, N., Kun, A. L., McKerral, A., Riener, A., Schartmueller, C., . . . Wintersberger, P. (2021). Interactive Workshops in a Pandemic: The Real Benefits of Virtual Spaces. IEEE PERVASIVE COMPUTING, 20(1), 35-39. doi:10.1109/MPRV.2020.3044072

Kun, A. L., Girouard, A., Roudaut, A., & Shaer, O. (2020). Teaching pervasive computing: a report and a look ahead from a dagstuhl seminar. IEEE PERVASIVE COMPUTING, 19(1), 92-96. doi:10.1109/MPRV.2019.2963156

Meschtscherjakov, A., Tscheligi, M., Pfleging, B., Borojeni, S. S., Ju, W., Palanque, P., . . . ACM. (2018). Interacting with Autonomous Vehicles: Learning from other Domains. In CHI 2018: EXTENDED ABSTRACTS OF THE 2018 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS. doi:10.1145/3170427.3170614

Kun, A. L. (2018). Human-Machine Interaction for Vehicles: Review and Outlook. Foundations and Trends® in Human–Computer Interaction, 11(4), 201-293. doi:10.1561/1100000069

Kun, A. L., Boll, S., & Schmidt, A. (2016). Shifting Gears: User Interfaces in the Age of Autonomous Driving. IEEE PERVASIVE COMPUTING, 15(1), 32-38. Retrieved from https://www.webofscience.com/

Pfleging, B., Fekety, D. K., Schmidt, A., Kun, A. L., & ACM. (2016). A Model Relating Pupil Diameter to Mental Workload and Lighting Conditions. In 34TH ANNUAL CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, CHI 2016 (pp. 5776-5788). doi:10.1145/2858036.2858117

Kun, A. L., & Miller, W. T. (1999). Control of variable-speed gaits for a biped robot. IEEE ROBOTICS & AUTOMATION MAGAZINE, 6(3), 19-29. doi:10.1109/100.793697

Kun, A., Miller, W. T., & IEEE, R. A. S. O. C. (1996). Adaptive dynamic balance of a biped robot using neural networks. In 1996 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, PROCEEDINGS, VOLS 1-4 (pp. 240-245). Retrieved from https://www.webofscience.com/

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Most Cited Publications