Sakhrat Khizroev


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Sakhrat Khizroev is a Professor of Electrical and Computer Engineering at the College of Engineering of the University of Miami, with a secondary appointment at the Department of Biochemistry and Molecular Biology at the Miller School of Medicine. His laboratory conducts research on nanomagnetics/spintronics applications ranging from energy-efficient information processing to precision medicine. From 2011 to 2018, he was a Professor (tenured) of Electrical and Computer Engineering at Florida International University, with a joint appointment at the College of Medicine, where he co-founded and spearheaded the university-wide initiative on personalized nanomedicine. From 2006 to 2011, Khizroev was a Professor (tenured) of Electrical Engineering at the University of California, Riverside (UC-Riverside). Prior to joining academia, he spent four years as a Research Staff Member with Seagate Research and one year as a Doctoral Intern with IBM Almaden Research Center.

His team, in collaboration with Professor Ping Liang of UC-Riverside, has for the first time proposed and developed magnetoelectric nanoparticles for medical applications including targeted drug delivery across the blood-brain barrier (BBB), high-specificity cancer treatment, HIV/AIDS, neuroimaging, wireless neural network stimulation, and others. This team has also proposed and developed multilevel 3D magnetic memory devices and nanolasers for future information processing. In industry, he is most known for conducting groundbreaking experiments which resulted in the multi-billion-dollar data storage industry’s shift towards perpendicular magnetic recording.

In 2012, Khizroev was elected a Fellow of National Academy of Inventors (NAI) in the inaugural year of the Academy. He has graduated over 22 PhD Graduate Students. Khizroev holds over 39 granted US patents. He has authored over 150 refereed papers, 6 books and book chapters in the field. He has presented over 100 talks including many invited seminars and colloquia at international conferences, acted as a guest science and technology commentator on television and radio programs across the globe.

Khizroev received a PhD in Electrical and Computer Engineering from Carnegie Mellon University in 1999, a M.S. in Physics from the University of Miami in 1994, and B.S./M.S. degrees in Physics from Moscow Institute of Physics and Technology (Phystech) in 1992/1994.



1999Ph.D. , Electrical and Computer Engineering, Carnegie Mellon University
1994M.S. , Physics, University of Miami
1994M.S. , Physics, Moscow Institute of Physics and Technology (MIPT)
1992B.S. , Physics, Moscow Institute of Physics and Technology (MIPT)

Professional Experience

2019 - Professor (tenured), Department of Electrical and Computer Engineering, College of Engineering, University of Miami, Coral Gables, FL
2019 - Professor (joint appointment), Department of Biochemistry and Molecular Biology, Miller School of Medicine, Miami, FL
2019 - Faculty Member, Sylvester Cancer Center, University of Miami, Miami, FL
2011 - 2018Professor (tenured), Dept. of Electrical and Comp. Eng., Florida International University, Miami, FL
2012 - 2018Professor and Vice Chair, Dept. of Immunology, FIU, Miami, FL
2014 - 2018Professor, Dept. of Cellular Biology and Pharmacology, College of Medicine, FIU, Miami, FL
2009 - 2011Professor (tenured), Dept. of Electrical and Computer Engineering, University of California, Riverside, CA
2009 - 2011Professor (joint appointment), Dept. of Mechanical Engineering, University of California, Riverside, CA
2006 - 2011Professor (member), Center for Nanoscale Science and Engineering, University of California, Riverside, CA
2006 - 2009Associate Professor (tenured), Dept. of Electrical and Computer Engineering, University of California, Riverside, CA
2003 - 2006Associate Professor (tenured in 2005), Dept. of Electrical and Comp. Engineering, Florida International University, Miami, FL
1999 - 2003Research Staff Member, Seagate Research, Pittsburgh, PA
1997 - 1999Doctoral Intern, IBM Almaden Research Center, San Jose, CA

Research Interests

The goal of the Khizroev Laboratory is to invent technologies which are at least ten years ahead of their time. To achieve this goal, we leverage the team’s unique expertise and decades of research experience in the field of nanomagnetic and spintronic devices to create game-changing technologies in a broad range of applications, spanning from energy-efficient information processing to medicine.

By breaking down the barriers between disciplines, this team of scientists, with preparation in engineering, physics, chemistry, computer science, biology, and medicine, work hand in hand to create translational applications based on the physics of nanomagnetics/spintronics. Working at the crossroads of these disciplines, they synthesize multiferroic nanostructures and materials, build and characterize devices in the sub-5-nm size range, model and construct large-scale complex collective systems of nanoscale devices, and conduct cell culture and animal studies to test these technologies of the future.

Novel Computing Paradigms – Neuromorphic Computing: Despite the great progress in science and technology, the human brain as a computing paradigm and source of intelligence still remains a mystery.  The brain is an extremely powerful computing device with a computing architecture unmatched by man-made computers. Consuming approximately 13 W of power, the brain accomplishes tasks that the most powerful supercomputer cannot match using megawatts of power. Understanding the brain’s computing architecture would revolutionize information processing and creation of artificial general intelligence. Learning from the way the brain computes, likely by constantly transforming information between different dimensionalities and Hilbert spaces, would also have a boundless impact on all the other sciences besides computing. Last but not least, being the CPU of the human body, understanding the brain would pave the way to next generation medicine; autism, Parkinson’s, glioblastomas, and other devastating and life-threatening diseases would likely become trivial illnesses which could be easily treated like a simple cold is treated today. Arguably, understanding the human brain as a computing machine would likely become one of the most impactful scientific milestones in history of science. The reason we know so little about the brain today is the lack of technology which could help us directly observe how neurons interact during brain computation. Therefore, the main objective of this effort is to engineer (or re-engineer) the brain using non-surgical techniques, with the main goal to understand the brain as a computing system.

Novel Computing Paradigms - Quantum Computing (QC): Based on the principles of quantum mechanics, QC promises to unlock unprecedented computational power, with applications on the verge of unimaginable. The field of QC cuts across several disciplines including engineering, physics, and computer science. The goal of this effort is to build nanomagnetics/spintronics based QC devices.

Nanomedicine: To enable patient- and disease-specific diagnostic and treatment at the intra- and inter-cellular level in real time, it is imperative to find a perfect way to navigate and dispense a cargo of drugs, contrast-enhancing agents, or other nanotransducers and biomolecules to the damaged tissue or image site with sufficiently high efficacy and adequate spatial and temporal resolutions. The crossdisciplinary fields of personalized nanomedicine and precision medicine have emerged to leverage nanotechnology for achieving the required game-changing diagnostic and treatment milestones. Significant progress has been made using biotechnology; there are endless computational resources and chemical databases to identify immunotherapeutic biomolecules that could target almost any disease-specific biomarker. Conversely, the physics driven approach, with a strong emphasis on electrical engineering and computer science aspects and which exploits advanced nanoengineering/nanofabrication to control intrinsic molecular processes, is still at its early development stage. Being less dependent on physiological microenvironment, compared to the traditional biotechnology approach, it has the potential to overcome current stumbling blocks of the traditional biology-driven approaches, e.g., multidrug resistance and others. An important open question remains regarding the difficulty to externally control intrinsic electric-field-driven nanoscale physiological processes that would underlie such personalized therapy. Using exemplary studies that could potentially lead to future pinpoint treatment of neurodegenerative diseases, cancer, and HIV, this laboratory, in close collaboration with Dr. Ping Liang of UC-Riverside, tries to understand how multifunctional nanoparticles, particularly magnetoelectric nanoparticles (MENPs), can be used to couple intrinsic electric-field-driven processes with external magnetic fields for providing another dimension to deep-brain stimulation and recording at a single-cell level in real time, high-specificity targeted drug delivery and imaging. This effort has the potential not only to pave a way to new treatments of neurodegenerative diseases, cancer, HIV/AIDS, and others, but also help reverse engineer the brain, and contribute to the development of next-generation AI systems and particularly wireless brain-machine interface (BMI).

Magnetic Recording: Research by this team has made an invaluable impact on the magnetic recording industry. Their groundbreaking research was instrumental for realizing perpendicular magnetic recording (PMR) – the main magnetic recording technology of the time. Further, they for the first time demonstrated near-field optical transducers for heat-assisted magnetic recording at an areal density beyond 10 TB/in2.  This teams also introduced the concept of three-dimensional (3D) multilevel magnetic recording. The goal of this project is to build on this experience for engineering next-generation nanomagnetics/spintronics based memory devices and systems.

Energy-efficient Spintronics: As a part of the National Science Foundation (NSF) Science and Technology Center (STC) for Energy-efficient Electronics Science (E3S), this team has used the physics of nanomagnetics/spintronics to engineer energy-efficient logic devices with superior data rates and information densities. They have successfully built working devices in the sub-10-nm size range.