Find Academic Supervisors

• Financial Econometrics
• Time Series Analysis
• Volatility Modeling
• +6 more

Walter Distaso is a Professor of Financial Econometrics at Imperial College Business School, affiliated with the CFM-Imperial Institute of Quantitative Finance. He joined in 2006 after positions at the University of Exeter and Queen Mary, University of London, and has served as a visiting professor at the IMF. His research spans financial volatility modeling in continuous-time frameworks, long-memory macroeconomic analysis, copula-based multivariate financial time series, and market microstructure noise. He also explores interdisciplinary topics like diabetes and metabolic regulation through collaborations. Educations: PhD in Economics from the University of York Research interests include estimating financial volatility, macroeconomic determinants of stock-market volatility, and evaluating trading strategies. His recent work integrates econometric methods with health economics, addressing pandemic impacts on mental health and diabetes management. He has contributed to policy-relevant studies, such as analyzing Italy's economic growth linked to political debates, and financial misconduct around market fixes. Publications span risk management, volatility forecasting, and biomedical applications. His work balances theoretical econometric innovation with practical applications in finance and health. Awards: None explicitly mentioned. Grants/Advising: No grants listed; no student advisees documented. Labs/Teams: Affiliated with CFM-Imperial Institute but no specific lab/team details provided.

David CahillView profile

Professor

• nanoscale thermal transport
• materials science
• thermal conductivity
• +4 more

David Cahill is the Grainger Distinguished Chair in Engineering and Professor of Materials Science and Engineering at the University of Illinois Urbana-Champaign. He leads the David Cahill Research Group , focusing on nanoscale thermal transport, magnetic materials, and energy-related materials. His roles include co-Director of the IBM-Illinois Discovery Accelerator Institute and former Head of the Department of Materials Science and Engineering (2010-2018). Cahill holds a Ph.D. in Physics from Cornell University (1989) and a B.S. in Engineering Physics from Ohio State (1984). His research explores thermal management in advanced materials, nanoscale heat transfer, and experimental techniques like ultrafast laser metrology. Key interests include thermal conductivity of soft matter, magnetic materials' thermal properties, and battery material transport phenomena. Awarded the 2023 Paul Klemens Award and elected to the American Academy of Arts and Sciences (2023), Cahill has been recognized globally for innovations in materials characterization. His work bridges fundamental science and engineering applications, including thermoelectrics, battery technology, and semiconductor materials. Courses taught include MSE 201 (Phases and Phase Relations), MSE 401 (Thermodynamics of Materials), and specialized quantum materials seminars. His research group actively collaborates with industry and academia on projects such as thermal conductivity switching in polymers and high-performance solid-state electrolytes.

• Software Security
• Systems Security
• Smart Contract Security
• +5 more

Lucas Vincenzo Davi is a Professor of Computer Science at the University of Duisburg-Essen and Director of the paluno - the Ruhr Institute for Software Technology . He leads the SYSSEC research group and is a Principal Investigator (PI) in the SFB CROSSING and CASA excellence cluster. His work focuses on practical software and systems security, including memory corruption vulnerabilities, exploit mitigation, and blockchain smart contract security. Davi holds an ERC Starting Grant for Smart Contract Security research. Education: PhD in IT Security, TU Darmstadt (2011–2015), Dissertation: "Code-Reuse Attacks and Defenses" Master of Science in IT Security, Ruhr-Universität Bochum (2007–2009) Diplom (FH) in Business Informatics, FOM Neuss (2003–2007) Research: Davi's work emphasizes real-world security challenges like runtime attacks, trusted execution environments (TEE), and secure embedded systems. His contributions include Wemby (WebAssembly security analysis), HCC (smart contract hardening), and rowhammer mitigations like CATT. His research has influenced industry practices, e.g., Microsoft EMET v5.1 improvements. Awards: Best Teacher Award (2025) Finalist German IT Security Prize (2022, 2020) ACM SIGSAC Dissertation Award (2016) CAST Förderpreis (2010) Grants & Leadership: ERC Starting Grant (Smart Contracts), SFB CROSSING PI, CASA Cluster PI, and leadership in interdisciplinary initiatives like Nano Security (DFG Priority Program). Labs/Teams: Director of paluno, SYSSEC group leader, and collaborator in projects like HERA (hotpatching for embedded systems) and DMA’n’Play (DMA-based attestation).

Iulia SalaoruView profile

Associate Professor

• Materials Science and Engineering
• Solid State Physics
• Electronic Memory Devices
• +17 more

Dr. Iulia Salaoru is an Associate Professor in Materials Science and Engineering at De Montfort University, affiliated with the School of Engineering and Sustainable Development within the Faculty of Computing, Engineering and Media. She is a key member of the Emerging Technologies Research Centre and the Institute of Engineering Sciences, where she leads research in functional electronic materials and green manufacturing technologies. PhD in Solid State Physics, Al.I. Cuza University, Romania MSc in Physics of Thin Films, Al.I. Cuza University, Romania BSc in Physics, Al.I. Cuza University, Romania Postgraduate Certificate in Teaching in Higher Education (Merit), De Montfort University, UK Her research expertise lies in printed and flexible electronics , with a focus on resistive memory devices (ReRAM) , inkjet printing , 3D printing , and green electronics . She investigates novel materials such as polymer composites, TiO2 thin films, and graphene-based materials for applications in sustainable electronics and energy harvesting. Her work bridges fundamental physics with practical device fabrication and manufacturing innovation. The most recent articles highlight a strong trend toward additive manufacturing of memory devices , green electronics , and functional materials for energy . Her publications span high-impact journals in materials science, nanotechnology, and electronic engineering, reflecting interdisciplinary innovation in memory technologies and sustainable fabrication methods. She has received several scientific recognitions, including: Doctoral College studentship (DMU, 2023) Award for Research Engaged Teaching (2020) Certificate of Outstanding Contribution in Reviewing, Additive Manufacturing (2018) Guest Editor for Special Issues in Micromachines (2020) and Materials (2023) Fellow of the Higher Education Academy (2017) Dr. Salaoru actively supervises PhD students and has served as principal investigator on multiple funded research projects, including grants from the Royal Society and De Montfort University. She mentors BSc, MSc, and MPhil students, acts as internal examiner for PhD theses, and has hosted Erasmus trainees. Her leadership in externally and internally funded research demonstrates a strong commitment to advancing knowledge and training future researchers. She is also involved in professional service as a member of editorial and reviewer boards for journals such as Electrochem, Micromachines, and Polymers (MDPI), and serves on organizing committees for international conferences including ICPAM and ICREPQ.

Krishna Nama ManjunathaView profile

Senior Lecturer

• Nanomaterials
• Micro and Nano Electronics
• Photovoltaic Applications
• +7 more

Dr. Krishna Nama Manjunatha is a Senior Lecturer in Micro and Nano Electronics at De Montfort University (DMU), affiliated with the School of Engineering and Sustainable Development under the Faculty of Computing, Engineering and Media. His research is centered at the Emerging Technologies Research Centre (EMTERC), where he investigates nanomaterials for energy and electronic applications. His educational background includes a PhD in Nanomaterials for Photovoltaic Applications, an MSc in Microelectronics and Nanotechnology, and a BE in Electronics and Communication, all from recognized institutions. His academic journey reflects a strong foundation in semiconductor physics and nanoscale engineering. Dr. Manjunatha's research focuses on the synthesis and characterization of nanoscale materials, particularly silicon nanowires, for applications in photovoltaics, Li-ion batteries, and memory devices. He also explores transparent conductive oxides, organic and inorganic thin films, and metal-organic compounds. His work often leverages the patented Ra nanowire growth process developed at EMTERC. The recent publications highlight a consistent trend in advancing nanomaterials for sustainable energy solutions, especially in solar cells and energy storage. Key themes include low-temperature nanowire synthesis, doping techniques, optical characterization of thin films, and integration into flexible and transparent devices. These contributions span disciplines such as materials science, nanotechnology, and renewable energy. Global Good - Highly commended, April, 2015, Leicester square mile project Society Personality of the year, April, 2015, De Montfort Students Union Silver Award in Volunteering, 2014, DSU Volunteering, UK Doctoral College Best Thesis Prize, 2018, De Montfort University, UK Dr. Manjunatha actively supervises multiple postgraduate research students and has secured several externally funded grants as Principal Investigator (PI) and Co-PI, including projects funded by EPSRC and HEIF. His leadership in research projects demonstrates strong capability in grant acquisition and team management. He also contributes to teaching across various programs, including MSc and BEng degrees in Electrical and Electronic Engineering. He is a core member of the Emerging Technologies Research Centre (EMTERC) and affiliated with the Institute of Engineering Sciences (IES), where he collaborates on interdisciplinary research in nanomaterials and sustainable technologies. His lab work focuses on plasma-enhanced fabrication, thin film deposition, and device characterization for next-generation electronic and energy systems.

Ramon Canal CorretgerView profile

Professor

• Microarchitecture
• Processor Design
• Memory Design
• +15 more

Ramon Canal Corretger is a Full Professor in the Department of Computer Architecture at the Faculty of Informatics of Barcelona (FIB), Universitat Politècnica de Catalunya (UPC). He previously served as Vice Dean of Postgraduate Studies at FIB and leads the VirtuOS (Virtualization and Operating Systems) research group. His work bridges computer architecture, hardware security, and system-level reliability. Doctorate from UPC, co-supervised at the University of Wisconsin-Madison Sabbaticals at Harvard University (2006–2007) and the University of Cyprus (2019–2020) Active leadership in EU-funded projects such as Vitamin-V (Horizon Europe) His research focuses on microarchitecture, processor and memory design, reliability under variability, and security at the hardware-software interface. He explores low-power multicore architectures, virtualization optimizations, and secure RISC-V-based systems. His recent work integrates AI for intrusion detection and privacy-preserving federated learning in fog computing environments. The most recent publications demonstrate a strong trend toward security, reliability, and trustworthy computing , particularly in RISC-V ecosystems and cloud/edge infrastructures. There is increasing emphasis on hardware-software co-design , attack detection via performance monitoring , and energy-efficient secure accelerators using emerging technologies like neuromorphic and photonic computing. Scientific Awards: HiPEAC Paper Awards (2017, 2010) IEEE Senior Member (2016) Fulbright Award (2006) IBM Faculty Award (2000) Best Student Paper at HPCA-6 (2000) Multiple teaching excellence recognitions from UPC and AQU Catalunya First Prize in Epson Foundation Rosina Ribalta Award (2001) He has advised several PhD students including Manish Rana, Zoran Jaksic, and Shrikanth Ganapathy, many of whom received honors such as the Intel Doctoral Student Programme recognition. His research is supported by competitive grants from the Spanish government, EU Horizon programs, and industry collaborations. He is actively involved in the design of secure, reliable, and efficient computing systems for future cloud and embedded applications. He leads the VirtuOS research group, which focuses on virtualization, operating systems, and hardware-software interface optimization. The group contributes to open-source RISC-V initiatives and participates in large-scale European R&D projects targeting trustworthy computing infrastructures.

Imad AghaView profile

Associate Professor

• Photonics
• Quantum Optics
• Nanophotonics
• +7 more

Imad Agha is an Associate Professor with a joint appointment in the College of Arts and Sciences (Physics) and the School of Engineering (Department of Electro-Optics and Photonics) at the University of Dayton. He is a full-time faculty member actively engaged in cutting-edge research in photonics, quantum optics, and nanomaterials. His research interests include: Photonics and integrated photonic circuits Phase change materials (e.g., GST, Sb2Se3) for optical switching and memory Orbital angular momentum and optical vortex beams Metasurfaces and spatially variant photonic crystals Infrared detection using hyperdoped silicon Ultrafast and real-time spectroscopy GeSn-based optoelectronic devices His recent publications (2023–2025) demonstrate a strong focus on reconfigurable optical devices, tunable mid-infrared filters, quantum photonic transceivers, and advanced spectroscopy techniques. The work leverages machine learning, nanofabrication, and novel materials to enable next-generation photonic systems for communication, imaging, and sensing. Key themes include energy efficiency, ultrafast response, and chip-scale integration. Scientific awards are not listed in the provided text. Dr. Agha advises graduate students and likely leads a research group involved in experimental and theoretical photonics. His work is supported by grants related to materials development, optical device engineering, and quantum technologies, though specific grants are not listed. He collaborates across engineering and physics disciplines, particularly in the development of hybrid photonic systems. His research is conducted within advanced photonics and nanofabrication laboratories at the University of Dayton, focusing on optical characterization, device testing, and materials synthesis.

• Defects in semiconductors
• Carrier transport in semiconductors
• Semiconductor junctions
• +5 more

Francis Chi Chung Ling serves as an Associate Professor in the Department of Physics within the Faculty of Science at The University of Hong Kong (HKU). His academic journey began at HKU where he earned his B.Sc., M.Phil., and Ph.D. degrees. He maintains professional affiliations as C.Phys., M.IEEE, and F.Inst.P., and conducts research at Room 417, Chong Yuet Ming Physics Building. Office: CYP 417 Contact: 3917 5248 / 2559 9152 Email: ccling@hku.hk ORCID: https://orcid.org/0000-0003-4757-1065 Professor Ling's research spans multiple critical areas in semiconductor physics and materials science. His primary focus centers on defect characterization and engineering in semiconductors, particularly examining how defects influence electrical, optical, and magnetic properties. His work with positron annihilation spectroscopy provides atomic-scale insights into vacancy defects, while his investigations into deep level transient spectroscopy and carrier transport mechanisms advance fundamental understanding of semiconductor behavior. His laboratory maintains international collaboration with the positron beam line at Helmoltz Zentrum Dresden Rossendorf in Germany. Analysis of his 207 publications reveals a strong concentration on zinc oxide (ZnO) systems, silicon carbide (SiC), and other wide bandgap semiconductors. His recent work shows increasing focus on energy applications including photovoltaics, neuromorphic computing elements, and battery materials. The publications demonstrate consistent methodology combining experimental characterization with theoretical analysis, particularly emphasizing defect engineering approaches to modify material properties. Faculty Excellent Service Award: Faculty of Science, HKU (2008) Best Poster Award: ICMAT 2007, Singapore Faculty Knowledge Exchange Award 2024 for SiC Power Devices collaboration Professor Ling has supervised over 35 research postgraduate students across MPhil and PhD programs, with recent graduates focusing on SiC devices, ZnO-based materials, and 2D semiconductor structures. His grant portfolio includes significant funding as Principal Investigator on 17 projects totaling over HK$8 million, with recent major awards including HK$1.26 million for 'Bipolar Degradation in SiC Devices Suppressed by Proton Implantation' (2023) and HK$804,000 for 'Optimising the Performance of SiC Devices Through the Control of Atomic Scale Deep Level Defect' (2021). He leads the Material Physics Laboratory within HKU's Experimental Condensed Matter and Material Science Group, specializing in defect characterization and engineering of functional materials. The laboratory maintains specialized equipment for deep level transient spectroscopy, temperature-dependent Hall measurements, and luminescence spectroscopy, with international access to positron beam facilities in Germany.

Yiyang LiView profile

Assistant Professor

• Energy Storage
• Neuromorphic Computing
• Electrochemical Materials
• +3 more

Yiyang Li is an Assistant Professor in the Department of Materials Science and Engineering at the University of Michigan, College of Engineering, specializing in electrochemical materials for energy storage and brain-inspired computing systems. Education: BS in Electrical and Computer Engineering from Olin College of Engineering (2011) PhD in Materials Science and Engineering from Stanford University (2016) His research centers on leveraging high-density point defects (>10 22 cm -3 ) in ionic materials for dynamic electrochemical doping. The first thrust examines individual Li-ion battery particles to uncover fundamental electrochemical properties, while the second develops analogue non-volatile memory elements for neuromorphic computing—potentially reducing machine learning energy consumption by two orders of magnitude through parallelized matrix operations. His work demonstrates significant trends in utilizing lithium, proton, and oxygen ions within host materials to enable high-density energy and information storage via redox processes. Awards: Truman Fellow at Sandia National Labs (2017-2020) Dr. Li actively recruits graduate students and postdocs for his newly formed research group starting September 2020, with current teaching responsibilities including MSE550: Fundamentals of Materials Science and Engineering. Prospective students must apply through UM departments before contacting him. The Li Group (http://ligroup.engin.umich.edu) operates from 2118 H.H. Dow and focuses on electrochemical redox systems for next-generation energy and computing applications.

• Psychology
• Neuroscience
• Statistics
• +4 more

Viktors Veliks is a Visiting Researcher at Riga Stradins University with a Doctor of Science in Biological Sciences and Master of Science in Computer and Information Sciences. His interdisciplinary research integrates neuroscience, analytical chemistry, and public health to address cancer diagnostics and cognitive health challenges. His educational qualifications include: Doctor of Science in Biological Sciences Master of Science in Computer and Information Sciences Research interests center on neural activation patterns in athletes using ERP analysis, volatilomic profiling of cancer biomarkers through gas chromatography-mass spectrometry, and adolescent health risks related to screen time and internet behavior. His work directly supports UN Sustainable Development Goals for health and well-being through non-invasive diagnostic methods and cognitive intervention strategies. Recent publications reveal a strong trend in applying analytical chemistry to medical diagnostics, particularly breath and gastric volatilomics for colorectal and gastric cancer detection, coupled with neuropsychological assessment of cognitive performance in athletes and adolescents. This interdisciplinary approach bridges oncology, neuroscience, and digital health. No scientific awards were documented in the source material. As an expert contributor, Veliks participated in the European Commission-funded project (2024-2026) investigating physical activity interventions for sport educators' cognitive abilities and sleep quality, and the Latvian Council of Science project (2020-2022) developing screen time risk mitigation programs for adolescents. His grant work emphasizes self-efficacy measurement and comprehensive health assessment frameworks. Collaborative networks span international oncology and neuroscience teams, with active partnerships in volatilomics research and adolescent cognitive assessment across European institutions.

• Power Quality Metrology
• Smart Grids
• Power Electronics
• +3 more

Andrzej Bień, PhD, DSc, Eng., is a university professor at AGH University of Science and Technology in Kraków, Poland, serving within the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering and specifically the Department of Power Electronics and Automation of Energy Conversion Systems . He is a member of the College of his faculty and is based at building B-1, room 120. Research Interests: Prof. Bień’s work revolves around advanced power-quality metrology , smart-grid instrumentation , and renewable-energy integration . He develops measurement techniques for harmonic analysis, islanding detection, and power system diagnostics, employing digital signal processing, embedded systems, and novel sensor technologies. His investigations span from laboratory validation of phasor-based methods to field studies on icing detection for high-voltage lines. Publication Trends: From 2020 to 2024 his output reflects a strong focus on smart-grid data analytics, PMU-based monitoring, and the impact of harmonics on metering accuracy. Earlier work (2002–2019) concentrated on flickermeter design, power theory under non-sinusoidal conditions, and hardware for non-invasive voltage measurement, illustrating a continuous evolution toward cyber-physical energy systems. Scientific Contributions & Awards: Although no specific awards are listed, Prof. Bień has contributed numerous patents (e.g., optoelectronic cables, galvanically isolated current sensors) and has been instrumental in the development of IEC-compliant flickermeters and power-quality analyzers. Contact: Email: abien@agh.edu.pl Web: http://home.agh.edu.pl/~abien/ Phone: +48 12 617 28 57

Arie RuzinView profile

Professor

• Semiconductor Detectors
• Radiation Effects in Semiconductors
• Compound Semiconductors
• +3 more

Prof. Arie Ruzin is a faculty member at the School of Electrical Engineering, Tel Aviv University, affiliated with the Department of Physical Electronics. His research focuses on semiconductor detectors for radiation and particle detection, with applications in medical imaging, non-destructive testing, and high-energy physics experiments. Research Interests Prof. Ruzin's work spans several key areas: Development of compound semiconductor detectors (CdZnTe, InSb, SiGe) for X-ray, gamma-ray, and particle detection Investigation of radiation-induced defects in semiconductors and radiation-hardness enhancement techniques Device simulation (1D/2D/3D) of novel semiconductor structures Nano-contact physics and atomic force microscopy (AFM) characterization Novel semiconductor materials including 2D materials and compensated semiconductors His research often involves collaborations with international institutions like CERN's RD50 Collaboration. Publications Overview Recent publications (2010-2015) demonstrate a strong focus on semiconductor contact physics, radiation detector optimization, and nano-scale characterization. Key themes include modeling of ohmic/Schottky contacts, radiation damage simulations in CdZnTe/SiGe, and nano-contact behavior. The work consistently applies advanced simulation techniques alongside experimental validation. Student Advising Prof. Ruzin actively recruits graduate students (M.Sc./D.Sc.) for research projects involving: Radiation detector development and characterization Semiconductor device simulation AFM-based nano-scale measurements VLSI circuit design for detector systems He also mentors undergraduate students in projects related to LabVIEW programming, electronic measurements, and VLSI design. Laboratory Activities He leads a research laboratory equipped for semiconductor device characterization, including atomic force microscopy (AFM), deep-level transient spectroscopy (DLTS), and radiation testing capabilities. The group participates in the CERN RD50 collaboration focusing on radiation-hard semiconductor detectors for high-energy physics experiments.

• Ferroic Materials
• Nonvolatile Memories
• Memristive Devices
• +3 more

Changjian Li is an Associate Professor in the Department of Materials Science and Engineering at Southern University of Science and Technology (SUSTech), Shenzhen, China. He joined SUSTech in February 2021 as an Assistant Professor and was promoted to Associate Professor in 2022 after prior research fellowships at the National University of Singapore (NUS). His academic background includes a Ph.D. in Integrative Science and Engineering (2015), B.Eng. in Materials Science & Engineering (2011), and B.S. in Physics (2011), all from NUS. His research focuses on three interconnected themes: (1) nanoscale ferroelectricity/ferromagnetism properties, (2) memory/memristive devices using ferroic materials, and (3) in-situ atomic-scale STEM-EELS characterization of non-volatile memory mechanisms. This work addresses fundamental challenges in post-Moore's Law computing through neuromorphic hardware approaches. Recent publications (2022-2024) demonstrate increasing specialization in nickelate superconductors, strain-engineered ferroelectric membranes, and van der Waals ferroelectrics, with strong emphasis on atomic-scale defect analysis and device physics. His work consistently bridges fundamental materials characterization with practical device applications. Dr. Li has received significant recognition including: NSFC Excellent Young Scientists Fund Program (Overseas) 2021 Shenzhen Peacock Project (Class B) 2021 Lee Kuan Yew Postdoctoral Fellowship 2016 Chinese Government Award for Outstanding Self-Financed Students Abroad 2015 He actively mentors students on advanced projects such as 2D ferroelectric metal-organic frameworks for ultralow-power transistors (published in Advanced Functional Materials 2024) and has secured competitive grants including the NSFC Excellent Young Scientists Fund. His group operates advanced facilities including double Cs-corrected TEM, environmental TEM, pulsed laser deposition systems, and PPMS for comprehensive materials analysis. Leading the Functional Oxide Thin Film Research Group at SUSTech, Dr. Li directs experimental efforts in in-situ STEM characterization and thin-film growth for next-generation neuromorphic computing devices, currently recruiting postdocs for specialized roles in aberration-corrected microscopy and ferroelectric heterostructure development.

Serdar TekinView profile

Research Fellow

• Semiconductor Physics
• Nanoelectronics
• Quantum Devices
• +2 more

Serdar Tekin serves as a Research Fellow in the Department of Physics at Lancaster University, affiliated with the Quantum Nanotechnology research group. His work centers on advanced semiconductor materials and nanoscale electronic devices. His research interests span semiconductor physics, nanoelectronics, and quantum device engineering with specific focus on memory technologies and novel materials systems. Key areas include resistive switching phenomena and ferroelectric oxide applications in next-generation computing hardware. His recent publication analyzes scaling effects in hafnium oxide-based memory cells, demonstrating expertise in materials characterization and device physics within the semiconductor domain. The work contributes to ongoing efforts in non-volatile memory miniaturization. No scientific awards or student advisement activities are documented in available sources. His experimental research operates within Lancaster's Physics Department infrastructure focusing on nanoscale device fabrication and testing.

Jinhui WangView profile

Professor

• Artificial Intelligence
• Very-large-scale Integration (VLSI) Circuits
• Three-dimensional Integrated Circuit (3D IC) Design
• +6 more

Jinhui Wang is a Professor in the Department of Electrical and Computer Engineering at the University of South Alabama's College of Engineering. His research focuses on cutting-edge technologies in Artificial Intelligence , VLSI Circuits , and Neuromorphic Computing . Education: Postdoctoral work in VLSI Design at University of Rochester, NY, USA; Ph.D. and B.S. in Electrical Engineering from Beijing University of Technology and Hebei University, China. His work addresses 3D IC Design , Emerging Memory Systems , and Cooling Techniques for Electronic Devices , with recent publications emphasizing privacy-preserving AI hardware and intelligent memory architectures for mobile and embedded systems. Collaborative projects span applications in Wireless Sensor Networks , IoT , and UAV Electronic Subsystems .