Donhee Ham

Donhee Ham (Hangul: 함돈희; Hanja: 咸燉憙) is Gordon McKay Professor of Applied Physics and Electrical Engineering at Harvard University and Fellow of Samsung Electronics.

The native form of this personal name is Ham Donhee. This article uses Western name order when mentioning individuals.
In this Korean name, the family name is Ham.

Donhee Ham
함돈희
CitizenshipSouth Korea
Alma materCaltech
Seoul National University
Scientific career
FieldsElectronic Engineering
Applied Physics
InstitutionsHarvard University
Samsung Electronics
LIGO
Websitewww.donheehamlab.org

Biography and Work

Ham is from Busan, South Korea. He received his B.S. in physics from Seoul National University in 1996, graduating atop the College of Natural Sciences with Presidential Prize. After fulfilling his military duty in South Korea in 1997, he went to Caltech, where he earned his M.S. in physics in 1999 and his Ph.D. in electrical engineering in 2002. His PhD thesis on statistical physics of electrical circuits won the Caltech Charles Wilts Prize given to the best Electrical Engineering dissertation.[1] He joined Harvard in 2002 as Assistant Professor, and became Associate Professor in 2006, John L. Loeb Associate Professor of the Natural Sciences in 2007, and Gordon Mckay Professor of Applied Physics and Electrical Engineering in 2009.[2]

His research work is on CMOS-bio interface for neuroscience and biotechnology, machine intelligence and neuromorphic engineering, scalable nuclear magnetic resonance (NMR), integrated circuits, and beyond-CMOS electronics. Notable work includes: CMOS-neuroelectronic interfaces for massively parallel intracellular recording of mammalian neurons[3][4][5] and their application in machine intelligence;[6][7] CMOS-electrochemistry interfaces for biological cell screening[8] and arrayed pH localization for high-throughput biomolecular synthesis;[9] in-sensor and in-memory computing;[10][11][12][13][14][15][16] NMR scaling[17][18][19] that earned the MIT Technology Review Innovators Under 35 (TR35) recognition;[20] integrated circuit design for analog AI computing, frequency generation and synthesis, microprocessor thermal monitoring, RF transceivers, image sensing, and electrochemical/biological interfaces;[10][21][22][23][24][25][26][27][28][29][30][31] and low-dimensional electronics, such as graphene kinetic inductance measurements and light slowing by collective excitation of 2D electrons.[32][33][34][35] Ham is also known for his teaching.[36]

References
  1. "Caltech Charles Wilts Prize".
  2. "Wizard at circuits, physics". Harvard Gazette. December 3, 2009.
  3. "A nanoelectrode array for obtaining intracellular recordings from thousands of connected neurons". Nature Biomedical Engineering. 4 (2): 232–241. February 2020.
  4. "CMOS nanoelectrode array for all-electrical intracellular electrophysiological imaging". Nature Nanotechnology. 12 (5): 460–466. May 2017.
  5. "Parallel probing of intracellular neuron potentials". Nature Biomedical Engineering. 4 (2): 146–147. February 2020.
  6. "Neuromorphic electronics based on copying and pasting the brain". Nature Electronics. 4 (9): 635–644. September 2021.
  7. "Samsung Electronics Puts Forward a Vision To 'Copy and Paste' the Brain on Neuromorphic Chips". news.samsung.com.
  8. "CytoTronics – CMOS-Powered Drug Discovery".
  9. "CMOS electrochemical pH localizer-imager". Science Advances. 8 (30): eabm6815. July 29, 2022.
  10. "A crossbar array of magnetoresistive memory devices for in-memory computing". Nature. 601 (7892): 211–216. January 2022.
  11. "In-sensor optoelectronic computing using electrostatically doped silicon". Nature Electronics. 5 (8): 519–525. August 2022.
  12. "An atomically thin optoelectronic machine vision processor". Advanced Materials: 2002431. July 23, 2020.
  13. "Efficient AI with MRAM". Nature Electronics. 5 (2): 67–68. February 2022.
  14. "Silicon photodiodes that multiply". Nature Electronics. 5 (8): 483–484. August 2022.
  15. "An aqueous analog MAC machine". Advanced Materials: 2205096. September 9, 2022.
  16. "Samsung Demonstrates the World's First MRAM Based In-Memory Computing". news.samsung.com.
  17. "Scalable NMR spectroscopy with semiconductor chips". Proceedings of the National Academy of Sciences. 111 (33): 11955–11960. August 2014.
  18. "Chip–NMR biosensor for detection and molecular analysis of cells". Nature Medicine. 14 (8): 869–874. August 2008.
  19. "Portable NMR with parallelism". Analytical Chemistry. 92 (2): 2112–2120. January 21, 2020.
  20. "Donhee Ham | Innovators Under 35". www.innovatorsunder35.com. Retrieved September 11, 2022.
  21. "Concepts and methods in optimization of integrated LC VCOs". IEEE Journal of Solid-State Circuits. 36 (6): 896–909. June 2001.
  22. "Virtual damping and Einstein relation in oscillators". IEEE Journal of Solid-State Circuits. 38 (3): 407–418. March 2003.
  23. "Electrical soliton oscillator". IEEE Transactions on Microwave Theory and Techniques. 54 (1): 373–382. January 2006.
  24. "On the self-generation of electrical soliton pulses". IEEE Journal of Solid-State Circuits. 42 (8): 1657–1668. August 2007.
  25. "Electrical solitons come of age". Nature. 440 (7080): 36–37. March 2006.
  26. "Fast-lock hybrid PLL combining fractional-N and integer-N modes of differing bandwidths". IEEE Journal of Solid-State Circuits. 43 (2): 379–389. February 2008.
  27. "Dual-DLL-based CMOS all-digital temperature sensor for microprocessor thermal monitoring". 2009 IEEE International Solid-State Circuits Conference - Digest of Technical Papers: 68–69, 69a. February 2009.
  28. "CMOS RF biosensor utilizing nuclear magnetic resonance". IEEE Journal of Solid-State Circuits. 44 (5): 1629–1643. May 2009.
  29. "Palm NMR and 1-Chip NMR". IEEE Journal of Solid-State Circuits. 46 (1): 342–352. January 2011.
  30. "A 200 x 256 image sensor heterogeneously integrating a 2D nanomaterial-based photo-FET array and CMOS time-to-digital converters". 2022 IEEE International Solid- State Circuits Conference (ISSCC). 65: 1–3. February 2022.
  31. "The design of a CMOS nanoelectrode array with 4096 current-clamp/voltage-clamp amplifiers for intracellular recording/stimulation of mammalian neurons". IEEE Journal of Solid-State Circuits. 55 (9): 2567–2582. September 2020.
  32. "Measurement of collective dynamical mass of Dirac fermions in graphene". Nature Nanotechnology. 9 (8): 594–599. August 2014.
  33. "A Newtonian approach to extraordinarily strong negative refraction". Nature. 488 (7409): 65–69. August 2012.
  34. "High-speed integrated nanowire circuits". Nature. 434 (7037): 1085–1085. April 2005.
  35. "Electrons en masse". Nature Nanotechnology. 9 (8): 575–576. August 2014.
  36. "Harvard Thinks Big 3 = 8 Really Big Ideas". Harvard Political Review. February 2012.
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.