Find Academic Supervisors

• Nano-CMOS modeling
• Physical design
• Nanotechnology
• +6 more

Yu Cao is an Adjunct Professor in the School of Electrical, Computer and Energy Engineering at Arizona State University (ASU). He holds a Ph.D. in Electrical Engineering from the University of California, Berkeley (2002), an M.A. in Biophysics (1999), and a B.S. in Physics from Peking University (1996). His research focuses on nanoscale technology modeling, variability and reliability in electronics, and hardware design for on-chip learning. Key interests include predictive technology modeling, post-silicon integration, and energy-efficient semiconductor devices. Dr. Cao has led multiple grants funded by NSF, Samsung, Semiconductor Research Corporation, and academic institutions. His work emphasizes bridging technology and design automation gaps in nanometer-scale integration. Courses taught include VLSI design, digital systems, and graduate research supervision. He has authored two books and numerous articles on nano-CMOS modeling and physical design. His recent research advances include stable, efficient organic light-emitting diodes (OLEDs) and electrochromic devices leveraging phosphorescent molecular aggregates. These innovations address challenges in color stability, energy efficiency, and device lifetime. Notable grants include NSF-funded projects on hardware and algorithms for on-chip learning (2015–2016) and low-power bio-signal processing (2015–2016). His contributions span semiconductor reliability, nanoelectronic device applications, and predictive circuit simulation techniques.

Rachel BeanView profile

Professor

• Cosmology
• Dark Energy
• Gravitational Physics
• +2 more

Rachel Bean is Jacob Gould Schurman Professor of Astronomy at Cornell University and Senior Associate Dean for Math and Science. Her cosmology research focuses on dark energy properties, gravitational physics, and the early universe using cosmic microwave background and galaxy survey data. As co-recipient of the Gruber and Breakthrough prizes, she contributed to precision cosmology through the WMAP mission. Research develops methods to extract cosmological information from large astrophysical datasets, including cross-correlation techniques between CMB experiments (Atacama Cosmology Telescope, Simons Observatory) and galaxy surveys (DESI, Rubin LSST). Current projects investigate modified gravity constraints using cluster abundances and novel statistical approaches to kSZ velocity reconstruction. Publication themes include precision cosmology, gravity tests, and multi-messenger astrophysics. Recent work advances machine learning applications for cosmological inference, while earlier research established foundations in semiconductor device physics. Articles consistently demonstrate innovative approaches to cosmological parameter estimation and physical theory testing. Awards: Gruber Prize (2012), Breakthrough Prize (2018), Presidential Early Career Award, and Cottrell Scholar Award. Leadership includes former chair of LSST Dark Energy Science Collaboration and service on the Astronomy and Astrophysics Advisory Committee.

Ahmedullah AzizView profile

Assistant Professor

• Mixed-Signal VLSI Circuits
• Non-Volatile Memory
• Beyond CMOS Device Design
• +4 more

Ahmedullah Aziz is an Assistant Professor in the Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville, within the Tickle College of Engineering. He earned his Ph.D. in Electrical and Computer Engineering from Purdue University (2019), an M.S. from Pennsylvania State University (2016), and a B.S. from Bangladesh University of Engineering & Technology (2013). His research focuses on mixed-signal VLSI circuits, non-volatile memory, and beyond-CMOS device design, emphasizing emerging technologies like ferroelectrics and spintronics. He leads the NorDIC Lab and has published over 60 articles in journals, conferences, and patents. Education: PhD, Electrical & Computer Engineering, Purdue University, 2019 MS, Electrical Engineering, Pennsylvania State University, 2016 BS, Electrical & Electronic Engineering, BUET, 2013 Research Interests: Aziz explores device-circuit-system co-design techniques, particularly in cryogenic neuromorphic systems, superconducting memory, and ferroelectric-based circuits. His work bridges material innovation with practical applications, aiming to advance energy-efficient and high-performance computing. Awards: EDAA Outstanding Dissertation Award (2019/2020) Outstanding Graduate Student Research Award (Purdue, 2019) Samsung 'Icon' Award (2013) Best Publication Awards (SRC-DARPA STARnet, 2015/2016) Advising & Grants: While specific grants are not detailed, his research has been supported by prestigious institutions. He has advised/co-advised projects in emerging technologies but no listed students. His work extends to reviewing IEEE journals, conference TPC roles, and editorial contributions. Labs & Teams: He directs the NorDIC Lab, focusing on next-generation computing and device innovation.

Edwin BarnesView profile

Professor

• Theoretical Condensed Matter Physics
• Quantum Information Science
• Quantum Computing
• +4 more

Edwin Barnes is a Professor in the Department of Physics at Virginia Tech, affiliated with the College of Science and the Virginia Tech Center for Quantum Information Science and Engineering (VTQ). He holds the Roger H. Moore and Mojdeh Khatam-Moore Dean's Faculty Fellow title. His research focuses on theoretical condensed matter physics and quantum information science, with particular emphasis on quantum computing, control, communication, algorithms, and many-body dynamics. He earned his Ph.D. in Physics from the University of California, San Diego. His work bridges mathematical constructs with experimental quantum systems, addressing challenges in quantum error correction, quantum repeaters, and scalable quantum architectures. Barnes leads the Barnes group, which explores topics like dynamically corrected gates, photonic graph states, and quantum resource optimization. Recent research highlights include developing adaptive variational quantum algorithms (e.g., ADAPT-VQE), improving quantum gate fidelity in superconducting and spin qubit systems, and analyzing quantum thermalization in driven systems. His publications span top journals like Physical Review X , npj Quantum Information , and PRX Quantum . Key awards include the Dean’s Faculty Fellowship. Barnes collaborates widely, contributing to national initiatives in quantum education and workforce development. His lab’s work on quantum control and error mitigation aims to advance practical quantum technologies.

• Organic Electronics
• Photovoltaics
• Perovskite Materials
• +3 more

Prof. Beat Ruhstaller is a Professor at the ZHAW School of Engineering, leading research in Organic Electronics and Photovoltaics. He specializes in perovskite solar cells, OLEDs, and optoelectronic device simulation. His work focuses on improving device efficiency through charge transport analysis, photon recycling, and material characterization. He heads multiple projects including 'Organic Electronics and Photovoltaics Projects', 'Perovskite-on-Silicon Tandem Photovoltaics', and 'Advanced Materials for Opto-Electronic-Ionic Devices'. Research Interests: Organic Electronics, Photovoltaic Technologies, Perovskite Materials, Device Simulation, Charge Transport Phenomena, and Optoelectronic Devices. His interdisciplinary approach combines experimental and computational methods to tackle challenges in energy-efficient optoelectronics. Key Projects: Tandem solar cell design, perovskite stability, and OLED degradation mechanisms. Over 90 peer-reviewed articles and book chapters, including contributions to Nature Communications , Advanced Materials , and Physical Review Applied . Active in international conferences like EU PVSEC and SID.

• Quantum Computing
• Nanotechnology
• Nanoscale Electronics
• +5 more

Heike Riel serves as IBM Fellow, Head of Science of Quantum and Information Technology, and Lead of IBM Research Quantum Europe at IBM Research. Her work focuses on quantum computing, nanoscale electronics, and optoelectronic device innovation. PhD in Physics (University of Bayreuth, 2003) MBA (Henley Business School, 2010) Research interests center on quantum computing hardware, nanoscale device engineering, and neuromorphic computing technologies. Her publications demonstrate expertise in semiconductor-metal interfaces, superconducting quantum devices, and nanowire-based systems. Article keywords include Quantum Physics , Nanotechnology , and Materials Science with sub-fields spanning spin qubit control , Josephson junction dynamics , and hybrid quantum systems . TR100 (2003) IEEE Andrew S. Grove Award (2022) National Academy of Engineering (2022) Riel advises academic institutions as member of review committees and serves on Germany's Forschungszentrum Jülich Scientific Advisory Council. She has filed over 50 patents in semiconductor technologies and led the development of 20" full-color OLED displays.

Cao HaishanView profile

Associate Professor

• Cryogenic Cooling
• Micro Cryocoolers
• Joule-Thomson Cooling
• +12 more

Cao Haishan is an Associate Professor at Tsinghua University, affiliated with the Department of Energy and Power Engineering in the School of Mechanical Engineering. His research focuses on cryogenic cooling systems, high heat flux thermal management, and the physics of amorphous ice formation and phase transitions. He leads a research group supported by the National Natural Science Foundation of China and industry partners including Huawei, Midea, and Lenovo. Ph.D., Mechanical Engineering, University of Twente, 2013 M.Sc., Chemical Engineering, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 2009 B.Sc., Chemical Engineering, Zhejiang University, 2006 Dr. Cao's research spans three major areas: cryogenic cooling (including micro cryocoolers and sorption systems), high heat flux electronic cooling (especially with non-condensable gases), and the formation and transformation of amorphous water ice. His work combines theoretical modeling, computational simulation, and experimental validation, often at micro and nano scales. He applies principles from thermodynamics, fluid dynamics, and materials science to solve engineering challenges in refrigeration and thermal control. The recent publications reflect a strong trend toward interdisciplinary research, integrating machine learning for heat transfer prediction, computational screening of MOFs for cryogenic switches, and fundamental studies of ice nucleation on various substrates. The articles span journals in physics, engineering, materials, and applied thermal sciences, indicating broad impact across multiple domains. Notable scientific awards include: Gustav and Ingrid Klipping Award (2016) Cryogenics Best Paper Award (2017) Annual Teaching Excellence Award, Tsinghua University (2023) Excellent Supervisor Award, Tsinghua University (2024) Multiple First Prize Advisor awards in national student contests on energy saving Dr. Cao has been principal investigator on several grants, including projects funded by the National Natural Science Foundation of China on amorphous ice lifetime and micro-cryocooling for semiconductor chips. He has also led industry-university collaborations with Huawei, Midea, and Lenovo. He advises graduate students and leads a research team focused on next-generation cooling technologies. He serves on editorial boards for Journal of Refrigeration , Vacuum and Cryogenics , and Energies , and has chaired sessions at major international conferences such as ICEC-ICMC and ACTS. His research group operates within the Institute of Thermophysics at Tsinghua University, leveraging facilities in the Lee Shau Kee Science and Technology Building. The team collaborates with national laboratories and international institutions, particularly maintaining ties with the University of Twente. Current efforts are directed toward ultra-low vibration cooling, efficient separation of non-condensable gases, and extending the stability of amorphous ice for cryobiological applications.

Alan MantoothView profile

Professor

• Analog and Mixed-Signal IC Design
• Power Electronics
• Semiconductor Device Modeling
• +3 more

Alan Mantooth is a Distinguished Professor holding the Twenty-First Century Research Leadership Chair in Engineering within the Department of Electrical Engineering at the University of Arkansas, Fayetteville. He serves as Director of the National Center for Reliable Electric Power Transmission (NCREPT), Executive Director for GRAPES (NSF I/UCRC) and SEEDS (DoE Center), and Deputy Director of the NSF Engineering Research Center for Power Optimization of Electro-Thermal Systems (POETS). His educational background includes: B.S. in Electrical Engineering, University of Arkansas M.S. in Electrical Engineering, University of Arkansas Ph.D. in Electrical Engineering, Georgia Institute of Technology Dr. Mantooth's research centers on analog/mixed-signal IC design, power electronics CAD, and semiconductor device modeling with emphasis on harsh-environment applications. His pioneering work in silicon carbide (SiC) and gallium nitride (GaN) power systems has enabled high-temperature operation for electric vehicles and renewable energy infrastructure, significantly advancing reliability in extreme conditions. His 2025 publications reveal strong trends toward AI-driven power electronics (e.g., SolarFormer++ for PV profiling), wide-bandgap device modeling (β-Ga2O3, SiC), and innovative packaging solutions. Key themes include reliability engineering for extreme environments, multi-physics optimization, and explainable AI for safety-critical power systems. Major scientific recognition includes: IEEE Fellow (2009) for power electronic device modeling Three R&D 100 Awards (2009, 2014, 2016) for SiC power modules IEEE Power Electronics Society Technical Achievement Award (2019) Multiple university teaching/research awards including SEC Faculty Achievement Award (2015) As an exceptional mentor (UA Outstanding Mentor 2006-2008), he co-founded Lynguent and Ozark Integrated Circuits. His centers NCREPT, GRAPES, and SEEDS have secured major funding from NSF, DoE, and industry partners, supporting over 350 refereed publications and numerous patents. Current research focuses on AI-enhanced power electronics, recyclable packaging, and next-generation wide-bandgap device characterization. He leads the NCREPT test facility and multi-institutional teams developing grid-connected power electronic systems, secure energy delivery architectures, and thermal management solutions for high-power-density applications, with direct impact on electric transportation and renewable energy integration.

Goran S. RisticView profile

Professor

• Semiconductor Physics
• Radiation Effects on Electronics
• Applied Physics
• +3 more

Goran S. Ristic is a Full Professor at the Faculty of Electronic Engineering, University of Nis, Serbia, since 2004. He holds a PhD in Semiconductor Physics from the same institution (1998), preceded by a master's (1994) and bachelor's degree (1990) in Physics. His research focuses on semiconductor materials, radiation effects on electronic devices, and dosimetry systems. He has published widely in journals like Journal of Applied Physics and IEEE Transactions , with over 69 papers in impact-factor journals. His work includes developing microcontroller-based dosimeter systems and studying defect behaviors in MOSFETs under irradiation and high electric fields. Key research interests include radiation-induced defects in semiconductors, annealing processes, and applications in medical dosimetry. He leads the Applied Physics Laboratory (website: http://www.apl.elfak.rs/ ). Current projects involve 1 national and 1 international collaboration. His contributions span semiconductor device reliability, gas breakdown measurements, and radiation-hardened electronics. Contact details: Email , Phone: +381 (18) 529-329, Address: Aleksandra Medvedeva 4, 18104 Nis, Serbia.

Cristian CiobanuView profile

Professor

• Nanoscale Surface Physics
• Two-Dimensional Materials
• Computational Materials Design
• +3 more

Cristian Ciobanu serves as Professor in the Department of Mechanical Engineering at Colorado School of Mines, where he has maintained continuous faculty appointment since 2004. His academic journey includes postdoctoral research at Brown University prior to joining Mines, with progressive promotions from Assistant to Associate to full Professor by 2014. Educational background: PhD in Physics, The Ohio State University (2001) MS in Physics, The Ohio State University (1998) BS in Physics, University of Bucharest (1995) His research program integrates computational and experimental approaches to address fundamental challenges in nanoscale surface physics and two-dimensional materials . Specialized expertise includes evolutionary algorithms for atomic structure optimization, development of materials for renewable energy applications, and investigation of self-organized nanostructures on crystal surfaces. Current work emphasizes machine learning applications in high-entropy alloy design and piezoelectric property engineering of layered systems. Publication trends reveal sustained focus on transition metal dichalcogenides, computational materials discovery, and piezoelectric response enhancement through alloying. Recent work increasingly incorporates machine learning for materials design while maintaining strong experimental validation through advanced microscopy and spectroscopy techniques. Key recognitions include: NSF Career Award (2009-2014) Research Excellence Award at Colorado School of Mines (2013) Fellow of the Institute of Physics (elected 2014) Ohio State Presidential Fellowship (2000-2001) Research funding has been secured through competitive mechanisms including the NSF Career Award, supporting his authorship of over 60 technical publications and a coauthored book on atomic structure determination. He actively advises graduate students in computational materials science and nanotechnology research within the Mechanical Engineering department. His scholarly activities are complemented by professional memberships in the Materials Research Society, American Physical Society, and American Vacuum Society. While specific laboratory facilities aren't detailed in source materials, his publication record indicates capabilities in computational modeling, scanning probe microscopy, and thin film characterization relevant to nanoscale materials research.

• Semiconductor Devices
• Millimeter-Wave Electronics
• Electronics Engineering
• +3 more

Prof. Colombo R. Bolognesi is a Full Professor of Millimeter-Wave Electronics at ETH Zürich's Department of Information Technology and Electrical Engineering. He holds a PhD in Electrical Engineering from the University of California, Santa Barbara, and has held academic positions at Simon Fraser University (1995-2006) before joining ETH in 2006. His research focuses on III-V semiconductor devices, particularly InP/GaAsSb and InP/GaInAsSb double heterojunction bipolar transistors (DHBTs), with applications in millimeter-wave and terahertz electronics. His work emphasizes device physics, high-frequency performance, and optoelectronic integration, including uni-traveling carrier (UTC) photodiodes and compact modeling. He has authored over 175 publications and holds prestigious awards such as IEEE Fellow (2008) and the Frontiers in Research Award (2001). Education: Bachelor of Electrical Engineering, McGill University (1987) Master of Electrical Engineering, Carleton University (1989) PhD in Electrical Engineering, University of California, Santa Barbara (1994) Research Interests: Millimeter-wave transistors, semiconductor device physics, high-frequency electronics, terahertz applications, UTC photodiodes, and compact modeling. His recent work includes record-breaking power-added efficiency (PAE) in InP/GaAsSb DHBTs at 170 GHz, advanced UTC photodiodes for 300 Gbps communications, and terahertz characterization of DHBTs. He leads a research group at ETH Zurich focused on pushing the boundaries of III-V semiconductor device performance for next-generation RF and optoelectronic systems. Awards: IEEE Fellow (2008), IEEE Senior Member (2003), Frontiers in Research Award (2001), GaAs IC Symposium Best Paper Award (1999), IEE Electronics Letters Premium Award (1998). Advising & Grants: While specific student names are not listed, his research involves collaboration with PhD/Master's students and postdoctoral researchers. His work is supported by grants from the Swiss National Science Foundation and industry partnerships in semiconductor technology. Key projects include developing UTC photodiodes and DHBT-based power amplifiers for 5G/6G applications. Labs/Teams: His research is conducted within ETH Zurich's Millimeter-Wave Electronics group, leveraging state-of-the-art fabrication facilities and characterization tools for III-V semiconductor devices.

• Organic Semiconductors
• Light-Emitting Materials
• Solid-State Physics
• +3 more

Prof. Dr. Wolfgang Brütting is a group leader at the Institute of Physics, Experimental Physics IV of the University of Augsburg . His research focuses on organic semiconductors and their applications in optoelectronic devices, particularly organic light-emitting diodes (OLEDs) . The group investigates molecular orientation, charge transport, and interfacial polarization mechanisms to enhance device efficiency and stability. Research Interests include: Molecular orientation in organic emitters Charge injection and accumulation in OLEDs Thermally activated delayed fluorescence (TADF) Perovskite nanocrystals for LEDs Organic-inorganic hybrid materials Thin film characterization techniques Recent Publications (2025-2023) highlight advancements in interface engineering, TADF emitter design, and perovskite nanocrystal stabilization. Collaborative efforts span institutions in Germany, Japan, and the U.S., with a strong emphasis on experimental validation and computational modeling. Key Facilities include: Transmission Electron Microscope (TEM) Molecular-beam epitaxy setups Photoluminescence and ellipsometry systems Numerical simulation tools

• Solid-State Electronics
• Microfluidics
• Flexible Electronics
• +7 more

Professor Arokia Nathan is affiliated with the Department of Engineering at the University of Cambridge , where he holds the Chair in Photonic Systems and Displays. His work bridges semiconductor device engineering, flexible electronics, and intelligent systems. Specializes in Thin-Film Transistors (TFTs) for displays and sensors Key contributions to digital microfluidics and neuromorphic computing Focus on ultra-low-power and high-frequency CMOS circuits Advances in oxide semiconductor materials and hybrid electronics Recent publications highlight trends in neuromorphic perception , flexible battery technologies , and RF/wireless communication systems . His research also emphasizes bioinspired robotics , wearable electronics , and intelligent IoT devices .

Tehseen RazaView profile

Lecturer

• Semiconductor Devices
• Spintronics
• Nanoelectronics
• +3 more

Tehseen Raza serves as a Lecturer in the Department of Electrical and Computer Engineering within Clemson University's College of Engineering, Computing and Applied Sciences. She joined the faculty in 2020, holding a Ph.D. in Electrical and Computer Engineering from Purdue University (2010) and a B.S. in Electrical Engineering from the University of Engineering and Technology, Lahore, Pakistan (2001). Her educational background includes: Ph.D. in Electrical and Computer Engineering, Purdue University, 2010 B.S. in Electrical Engineering, University of Engineering and Technology, Lahore, Pakistan, 2001 Dr. Raza's research spans cutting-edge domains in nanoscale electronics and education. Her primary interests include: Semiconductor Devices Spintronics Nanoelectronics NanoEducation Electronics Microelectronics Her foundational work on NEGF-based tight-binding models for magnetic heterostructures during her Ph.D. directly informs her current investigations into spin-polarized transport and magnetic tunnel junctions. Analysis of her 15 most recent publications reveals a strong interdisciplinary trajectory blending theoretical modeling with educational innovation. Key research thrusts include quantum transport in magnetic heterostructures (particularly Fe/MgO/Fe systems), nanoscale memory devices using graphene contacts, and the development of computational tools for nanotechnology education. Her work consistently bridges fundamental physics with practical applications in spintronics and nano-education. Scientific Awards: No awards listed in available documentation Regarding academic mentorship and funding, the available information does not specify any graduate students under her supervision or details about research grants. Her teaching portfolio demonstrates significant contribution to core electrical engineering education through courses in Semiconductor Devices, Circuit Analysis, Microelectronics, and Electromagnetic Theory. No dedicated research laboratories or specialized teams are mentioned in the provided materials, though her publications indicate collaborative work in computational nanoelectronics and educational tool development.

• CMOS integrated circuits
• Computer architecture
• Electrical and electronic engineering
• +12 more

Maurizio Zamboni is a Full Professor at the Department of Electronics and Telecommunications (DET) at the Polytechnic University of Turin, where he also serves as Student Ombudsman. His academic career spans over three decades with continuous teaching and research contributions in electronics and computing fields. Professor Zamboni's research interests focus on cutting-edge areas including CMOS integrated circuits, computer architecture, quantum computing, semiconductor devices, and VLSI design. His work particularly emphasizes emerging nanotechnologies for digital microelectronic architectures and the design of high-performance or low-consumption processing systems. He has developed expertise in circuit architectures for probabilistic computing, logic-in-memory computing, magnetic devices, and quantum architectures. His recent publications (2021-2025) reveal a strong trend toward quantum computing applications, in-memory processing architectures, and novel approaches to overcoming the memory wall problem. These works span both theoretical algorithm development and practical hardware implementations, with significant focus on quantum annealing, FPGA-based quantum emulation, and memory-mapped processing architectures. Professor Zamboni has been actively supervising PhD students working on quantum computing algorithms, hardware AI accelerators for automotive applications, and quantum-related optimization approaches. He leads research within the VLSILAB Group at DET, focusing on the intersection of nanoelectronics, quantum computing, and advanced computer architectures. His work bridges theoretical computer science with practical electronic design, creating novel solutions for next-generation computing challenges.