Moreover, he has expererince of building and applying HIPAA-compliant infrastructures to guidance various scientific research with productive affected individual’s recruitment, gathered sample’s data management, and integration with electronic Health care data (e.g., EPIC, NextGen). His lab at Rutgers (IFH & RWJMS) is pushed in the direction of the event of smart wellness techniques that systematically integrate genomic and metabolomic data into medical care for mainstream precision drugs.

Machine learning enabled discovery of software dependent style concepts for 2-dimensional elements

style and design ideas for dendrite suppression with porous polymer/aqueous solution hybrid electrolyte for Zn steel anodes

comprehension the outcome of lead iodide excessive within the efficiency of methylammonium direct iodide perovskite get more info photo voltaic cells

Quantification of uncertainty in initial-concepts predicted mechanical properties of solids: software to stable ion conductors

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Enhanced power and temperature dependence of mechanical Qualities of Li at tiny scales and its implications for Li metal anodes

Machine Understanding enabled computational screening of inorganic good electrolytes for suppression of dendrite development in lithium steel anodes

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Localized recrystallization of the lithium-steel anode during speedy stripping in superior-action liquid electrolytes

Universal chemomechanical structure regulations for good-ion conductors to stop dendrite development in lithium steel batteries

Biography Dr. Ahmad's investigation is focused on the look of useful products and interfaces for Power storage and conversion. The study aims to progress renewable energy and electrify transportation by means of initially principles knowing and structure of supplies for batteries and solar photovoltaics.

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