Andrew Kun

Andrew Kun

Professor
Phone: (603) 862-4175
Office: Kingsbury Hall, Room W219, Durham, NH 03824
Websites:
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.

Courses Taught

  • ECE 634: Signals and Systems II
  • ECE 714/814: Intro Digital Signal Process
  • ECE 814: Intro Digital Signal Process
  • ECE 900B: R&D Concept to Communication 2
  • ECE 924: Ubiquitous Computing
  • ECE 992: Advanced Topics
  • ECE 994: AdvTop/Hmn-Cmp Interaction
  • ECE 999: Doctoral Research

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

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