activity
20142022
most citedEnergy harvesting via an adaptive bistable potential

56 citations · 108 across the 4 of their papers we have counts for

collaborators

5 papers

eess.SY2022★ 1 cited

Data-driven control of COVID-19 in buildings: a reinforcement-learning approach

Ashkan Haji Hosseinloo, Saleh Nabi, Anette Hosoi +1

In addition to its public health crisis, COVID-19 pandemic has led to the shutdown and closure of workplaces with an estimated total cost of more than $16 trillion. Given the long…

eess.SY2020★ 49 cited

Data-driven control of micro-climate in buildings: an event-triggered reinforcement learning approach

Ashkan Haji Hosseinloo, Alexander Ryzhov, Aldo Bischi +3

Smart buildings have great potential for shaping an energy-efficient, sustainable, and more economic future for our planet as buildings account for approximately 40% of the global…

eess.SY2015★ 2 cited

Optimal control strategies for efficient energy harvesting from ambient vibrations

Ashkan Haji Hosseinloo, Thanh Long Vu, Konstantin Turitsyn

Ease of miniaturization and minimal maintenance are among the advantages for replacing conventional batteries with vibratory energy harvesters in a wide of range of disciplines and…

cond-mat.other2015★ 56 cited

Energy harvesting via an adaptive bistable potential

Ashkan Haji Hosseinloo, Konstantin Turitsyn

Narrow bandwidth and easy detuning, inefficiency in broadband and non-stationary excitations, and difficulties in matching linear harvester's resonance frequency to low-frequency e…

cond-mat.other2014

Fundamental limits to nonlinear energy harvesting

Ashkan Haji Hosseinloo, Konstantin Turitsyn

Ease of miniaturization, and less or no maintenance, among other advantages, have pushed towards replacement of conventional batteries with energy harvesters in particular, vibrato…