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• Neuromorphic Computing
• Memristive Devices
• Memcapacitive Devices
• +3 more

Fr. Dat Tran, S.J. is an Assistant Professor in the Department of Electrical and Computer Engineering at Santa Clara University's School of Engineering, joining the faculty in September 2020. His academic background spans engineering and theological studies, with industry experience at Tektronix prior to entering the Society of Jesus. Education Ph.D., Electrical Engineering, Portland State University, 2019 M.Div., Jesuit School of Theology at Santa Clara, 2009 M.S., Electrical Engineering, Portland State University, 1996 B.S., Electrical Engineering, Portland State University, 1994 Research Interests Dr. Tran pioneers neuromorphic computing architectures using memristors and memcapacitors to overcome physical limitations of traditional computing. His work focuses on biologically-inspired systems including memcapacitive spiking neuron models for associative memory applications and multi-tasking networks that significantly improve energy efficiency in AI hardware implementations. Publication Trends His 2017-2025 publications reveal consistent innovation in memcapacitive reservoir computing , evolving from foundational device studies to complex architectures for deep learning and multi-task applications. Key themes include hardware implementation of spiking neural networks, computational capacity optimization, and material-science integration for next-generation neuromorphic systems. Scientific Awards No scientific awards were mentioned in the provided text. Advising and Grants No information regarding student advising or research grants was provided in the source material.

• Power Electronics
• Digital Electronics
• Digital Signal Processing
• +4 more

Predrag Petrović is a Full Professor at the Department of General Electrical Engineering and Electronics at the Faculty of Technical Sciences, University of Kragujevac, Serbia. He has been a faculty member since 1991, progressing from trainee assistant to full professor in 2011. His work focuses on power electronics, digital electronics, and signal processing. Dr. Petrović's educational background includes: Bachelor's degree in Electrical Engineering from Faculty of Electrical Engineering in Belgrade (1991) Master's degree with thesis "Realization of digital data encryptors" (1994) PhD with dissertation "Measurement of electrical power with slow A/D conversion" (2004) His primary research interests span power electronics, digital signal processing, cryptology, and real-time system management. Dr. Petrović has made significant contributions to the field of electrical measurement systems, particularly in developing methods for processing AC signals, power measurement techniques, and circuit design for signal processing. His work often bridges theoretical mathematics with practical electronic circuit implementation, resulting in numerous patented technologies. Analysis of his recent publications reveals a strong focus on advanced circuit design, particularly in the areas of memristor and memelement emulation, rectifier circuits, and power system analysis. His work demonstrates a consistent progression from fundamental signal processing techniques to more complex circuit implementations, with increasing emphasis on novel electronic components and their applications in power systems. Dr. Petrović has received several prestigious awards: Ministry of Science, Development and Technology award for best young scientist (2002) Ministry of Science of Republic of Srpska award for best published scientific paper (2006) IETE-S K MITRA MEMORIAL AWARD for best research oriented paper (2011) Throughout his career, Dr. Petrović has secured funding for multiple research projects, including four projects funded by the Ministry of Science of the Republic of Serbia and one EU-funded project. He has mentored numerous students in their diploma theses and has been instrumental in developing curriculum and educational materials in his field. His work is closely associated with the Laboratory for Electrical Machines, Electromotor Drives and Automation at the Faculty of Technical Sciences in Čačak, where he conducts both theoretical research and practical circuit implementation. His collaborations extend to researchers across Serbia and internationally, as evidenced by his co-authorship on numerous publications.

Yuriy V. PershinView profile

Professor

• Condensed Matter Physics
• Emerging Memory Devices
• Unconventional Computing
• +3 more

Yuriy V. Pershin is a Professor in the Department of Physics and Astronomy at the McCausland College of Arts and Sciences, University of South Carolina. His research focuses on emerging memory devices (e.g., memristors, memcapacitors), unconventional computing paradigms, and 2D materials like graphene. He leads experimental and theoretical investigations into device fabrication, nonlinear dynamics, and nanoscale phenomena. Research Interests: Emerging Memory Devices: Designing memristive systems with memory retention capabilities, modeling their electrical behavior, and exploring their applications in low-power circuits. Unconventional Computing: Developing computing architectures that integrate memory and logic (e.g., neuromorphic networks), demonstrated through FPGA implementations and memristive neural networks. 2D Materials: Studying graphene kinks and antikinks as nanoscale motion carriers, with applications in nanoelectromechanical systems (NEMS). Key contributions include defining rigorous tests for ideal memristors, optimizing Joule-loss reduction in memristive systems, and proposing hardware implementations of memcomputing. His work bridges fundamental physics with applied engineering, leveraging tools like SPICE modeling and molecular dynamics simulations. Publications emphasize theoretical rigor and experimental validation, often addressing controversies in memristor characterization. Notable themes include noise-induced chaos in memcomputing, synchronization in memristive networks, and graphene-based electromechanical systems. Awards and Grants: No specific awards listed, though his work reflects sustained research funding in nanotechnology and device physics. Collaborations span academia and industry, focusing on practical applications of novel materials and circuits. Labs/Teams: His laboratory focuses on interdisciplinary projects at the intersection of physics, electronics, and materials science, with ongoing efforts in device fabrication, circuit emulation, and theoretical modeling.

Tania RoyView profile

Associate Professor

• Energy-efficient electronics
• Two-dimensional materials
• Neuromorphic Computing
• +4 more

Tania Roy is an Associate Professor in the Department of Electrical and Computer Engineering at Duke University's Pratt School of Engineering. Education: M.S. (2008) and Ph.D. (2011) in Electrical and Computer Engineering from Vanderbilt University Postdoctoral Training: Georgia Institute of Technology (2011-2013), University of California, Berkeley (2014-2016) Research Interests: Focus on developing AI hardware using two-dimensional materials, neuromorphic computing architectures, wide bandgap semiconductors for high-power electronics, and radiation effects characterization in gallium nitride (GaN) devices. Key areas include electrical characterization techniques for device reliability, defect analysis, and emerging materials systems. Scientific Awards: Presidential Early Career Award for Scientists and Engineers (PECASE) - 2024 Teaching: Instructs courses including ECE 526 (Semiconductor Devices), ECE 493/391 (Engineering Projects), and ECE 230L (Microelectronic Devices).

Aaron FranklinView profile

Professor

• Nanoelectronics
• Nanomaterials
• Printed Electronics
• +7 more

Aaron Franklin is the Addy Distinguished Professor in the Departments of Electrical & Computer Engineering and Chemistry at Duke University, where he also serves as Associate Dean for Faculty Affairs in the Pratt School of Engineering. He holds a Ph.D. in Electrical Engineering from Purdue University (2008) and a B.S.E. from Arizona State University (2004). Prior to Duke, he worked at IBM's T.J. Watson Research Center (2008–2014). His research focuses on nanomaterial-enabled electronics, including nanotransistors, printed electronics, and biomedical sensors. He leads the Franklin Group, exploring applications in high-performance devices, recyclable electronics, and IoT systems. Franklin has over 100 publications, 50+ patents, and co-founded two startups, one acquired by a Fortune 500 firm. He is an IEEE Fellow and NAI Fellow (2024). Education: B.S.E. Electrical Engineering, Arizona State University, 2004 Ph.D. Electrical Engineering, Purdue University, 2008 Research interests emphasize nanomaterials (carbon nanotubes, 2D materials) for next-gen electronics. His group develops ultra-sensitive biosensors, printed recyclable circuits, and scalable transistor technologies. Key areas include low-voltage transistors, flexible electronics, and energy-efficient neuromorphic systems. Recent work highlights include: 1) memcapacitive synapse arrays for motion detection; 2) symmetry-engineered 2D FETs; 3) recyclable LCD backplanes using printed carbon nanotubes. His 2024 Nature Electronics paper on carbon nanotube-coated transistors advances low-dimensional electronics. Awards: IEEE Fellow (2024) NAI Fellow (2024) National Institutes of Health grants Grants and startups: Active NSF-SNSF collaborations on 2D semiconductor thermal properties. Co-founded Tyrata (acquired by Bridgestone). Teaches courses like Foundations of Nanoscale Science and Emerging Nanoelectronic Devices. Labs/Teams: Franklin Group at Duke's Pratt School, collaborating with biomedical and materials science researchers. Focus areas include aerosol jet printing, electronic tattoos, and IoT sensor development.