Harish Bhaskaran

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Harish Bhaskaran
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NationalityBritish-Indian
EducationBE, MS, PhD
Alma materUniversity of Oxford
OccupationEngineer
Spouse(s)Varsha Gandhi
Websitenanoeng.materials.ox.ac.uk

Harish Bhaskaran is a British-Indian engineer and currently Professor of Applied Nanomaterials at Oxford University. He is also the Associate Head (Research) for the Mathematical, Physical and Life Sciences Division at Oxford. He is known for his research and achievements in the field of nanoscale technology, including photonic or neuromorphic computing and displays. He was elected a Fellow of the Royal Academy of Engineering in 2023 for "his research achievements in engineering nanoscale devices including breakthrough photonic or neuromorphic computing and displays".[1] He is also a Fellow of the Institution of Mechanical Engineers and a Chartered Engineer.

Education

He obtained a Bachelor's Degree in Civil Engineering from the College of Engineering Pune [2]. He obtained a MS in Mechanical Engineering carrying out research on packaging of MEMS systems at the University of Maryland College Park.[3] Subsequently, he joined the laboratory of Keith Schwab, carrying out research within the Quantum Computing Group on Nanoelectromechanical Systems obtaining a PhD in Mechanical Engineering (co-advised by Peter Sandborn) from the same University.[4]

Career

After his PhD, Bhaskaran spent three years at IBM Research - Zurich[5]. There he worked on phase change materials and novel atomic force microscopy probes, inventing the PtSi probes that have since been commercialized and creating diamond-like-carbon tips for ultra-low wear.[6][7] After a brief postdoc at Yale University[5], he joined the University of Exeter as a Lecturer and then in 2013 joined the University of Oxford, where he established the Advanced Nanoscale Engineering Group. He was promoted to Professor of Applied Nanomaterials in 2016. He serves as a director of the Oxford Fab.[8] Since 2023, he serves as the Associate Head for Research of the Mathematical Physical and Life Sciences Division at the University of Oxford[9]. He was the leader of the UK's Wearable and Flexible Technologies (WAFT) consortium across Oxford, Southampton and Exeter Universities and 15 industrial partners.[10]

Research

Bhaskaran has invented several new technologies in the field of MEMS and computing. He has also played a major role in developing these inventions into business opportunities and commercialising them."New adaptable smart window coating could help heat or cool a home and save energy". Oxford University. February 7, 2022.</ref> including applications in the glazing industry.[11] The latter project was an Anglo-US project, which aims to harness the Sun's heat and use it to heat a home in the winter, but also reflect it in the summer.[12] When talking about the project, Bhaskaran said to ScienceDaily "Here, we exploit tuning how invisible wavelengths are transmitted or reflected to modulate temperature. These ideas have come to fruition with the aid of our long-standing industrial collaborators, and are the result of long-term research."[13] Part of Bhaskaran's recent career is spinning out companies such as Bodle Technologies and Salience Labs from Oxford University.[14] [15] Other more efficient technologies have also been developed by Bhaskaran, including producing new screen technology for devices with poor outdoor readability and high-power consumption.[16][17]

Since 2013, he has been worked on photonic neuromorphic computing and routing. He is an inventor of the first photonic non-volatile memory[18] the photonic tensor core,[19][20] and has worked on amplitude based weight setting as the primary approach using functional phase change materials. His work on switchable photonics as part of the computational effort was instrumental in spinning out Salience Labs.[21] In spite of his work on photonics, he is known for his more cautious approach to the future of photonics, often expressing skepticism about whether photonics will fully replace electronics. As quoted to Optics and Photonic news,[21]

References

  1. "New Fellows - RAEng".
  2. Bhaskaran, Harish. "Education".
  3. "CALCE EPSC Graduate Student Theses (2002): Die Shear Experimental and Modeling Verification of Chip-to-Chip Bonded Microelectromechanical Systems". CALCE EPSC. 2002.
  4. Bhaskaran, Harish (2006-08-10). "Nanomechanical Resonators towards Single Spin Sensitivity". University of Maryland.
  5. 5.0 5.1 "Harish Bhaskaran". nanoeng.materials.ox.ac.uk. Retrieved 2024-04-15.
  6. Bhaskaran, Harish; Gotsmann, Bernd; Sebastian, Abu; Dreschler, Ute; Lantz, Mark A.; Despont, Michel; Jaroenapibal, Papot; Carpick, Robert W.; Chen, Yun; Sridharan, Kumar (2010-01-31). "Ultralow nanoscale wear through atom-by-atom attrition in silicon-containing diamond-like carbon". Nature Nanotechnology. 5 (3): 181–185. Bibcode:2010NatNa...5..181B. doi:10.1038/nnano.2010.3. PMID 20118919.
  7. "Nanotechnologists form near-frictionless diamond material".
  8. "Fab @ Oxford".
  9. "MPLS Division Academic Leadership".
  10. "EPSRC WAFT Consortium".
  11. Whipple, Tom (February 9, 2022). "Turn on the windows to keep warm". The Times.
  12. "Film-coating gives windows temperature control". The Engineer. January 6, 2022.
  13. "Windows that outsmart the elements". ScienceDaily. January 5, 2022.
  14. O'Hear, Steve (January 29, 2018). "Oxford University spin-out Bodle scores £6M Series A for its low-powered 'reflective' display tech". TechCrunch.
  15. Sparkes, Matthew (March 23, 2022). "Stretchy light-emitting plastic could be used in wearable screens". New Scientist.
  16. "Flexible nano-pixel screen patented". BBC News. 10 July 2014.
  17. Ardill, Lisa (December 21, 2020). "Oxford spin-out Bodle secures Series A funding extension". Silicon Republic.
  18. "New Memory Chips Store Data Not with Electricity, but with Light". MIT Technology Review.
  19. "16/764,893 | 820926-1220:OPTICAL METHODS AND DEVICES".
  20. Feldmann, J.; Youngblood, N.; Karpov, M.; Gehring, H.; Li, X.; Stappers, M.; Le Gallo, M.; Fu, X.; Lukashchuk, A.; Raja, A. S.; Liu, J.; Wright, C. D.; Sebastian, A.; Kippenberg, T. J.; Pernice, W. H. P.; Bhaskaran, H. (2021). "Parallel convolutional processing using an integrated photonic tensor core". Nature. 589 (7840): 52–58. Bibcode:2021Natur.589...52F. doi:10.1038/s41586-020-03070-1. PMID 33408373.
  21. 21.0 21.1 Cartlidge, Edwin. "Photonic Computing for Sale".

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