Find Academic Supervisors

Francisco Javier Rodriguez LozanoView profile

Professor

• Stomatology
• Dental Biomaterials
• Stem Cell Research
• +4 more

Francisco Javier Rodriguez Lozano is a Professor at the Faculty of Medicine of the University of Murcia, affiliated with the Department of Dermatology, Dentistry, Radiology and Physical Medicine . His research focuses on stomatology, dental biomaterials, and regenerative medicine, with a particular emphasis on the application of stem cells and advanced materials in dentistry. He is a member of the Hematology, Hematopoietic Transplantation and Cell Therapy research group. He holds three doctoral degrees: one from the University of Córdoba in Computer Science (2020), another from the University of Valencia in Biomedical Engineering (2021), and a third from the University of Murcia in Dentistry (2009). His academic supervisors included Dr. Joaquín Olivares Bueno, Dr. Leopoldo Forner Navarro, and Dr. Salvador Martínez Perez. Research Interests: Dr. Rodriguez Lozano’s work spans regenerative dentistry, biocompatible materials, and the interplay between oral health and systemic diseases. He explores artificial intelligence applications in medical diagnostics and has pioneered studies on graphene-based materials for bone regeneration. His research also addresses cytotoxicity evaluations of dental products and the role of stem cells in endodontic therapies. Publications Trends: His recent work emphasizes biomaterials (e.g., calcium silicate-based sealers, graphene composites) and their clinical applications. He has systematically reviewed links between oral dysbiosis and neurodegenerative diseases (e.g., Alzheimer’s, Parkinson’s), as well as oral health in chronic kidney disease. AI-driven diagnostic tools (e.g., bee hive monitoring, autism detection via eye-tracking) highlight his interdisciplinary approach. Awards & Grants: No specific awards or grants were mentioned in the provided texts. However, his extensive publication record reflects sustained research activity. Advising & Labs: While no current advisees are listed, his doctoral theses suggest expertise in guiding research in computational methods and biomaterials. His work is conducted within the University of Murcia’s medical and dental research facilities.

Christos KozyrakisView profile

Professor

• Computer Architecture
• Computer Systems
• Cloud Computing
• +6 more

Christos Kozyrakis is a Professor in the Departments of Electrical Engineering and Computer Science at Stanford University. His research focuses on computer architecture, computer systems, and cloud computing, with contributions to energy-efficient systems, machine learning infrastructure, and database-oriented operating systems. He leads the MAST research group and directs the Stanford Platform Lab. Education: Bachelor's Degree in Computer Science, University of Crete PhD in Electrical Engineering and Computer Sciences, University of California, Berkeley Research Interests: Kozyrakis explores cloud management, machine learning systems, energy-efficient architectures, and hardware-software co-design. Notable projects include DBOS (a database-oriented OS), the MAST group's work on serverless computing and storage systems, and energy-proportional data center design. Awards: ACM SIGARCH Maurice Wilkes Award ISCA Influential Paper Award NSF Career Award Okawa Foundation Research Grant ACM and IEEE Fellowships Advising & Grants: Supervised over 20 PhD and master's students, with notable alumni contributing to academia and industry. Supported by NSF, DARPA, SRC, Google, Microsoft, and other industry collaborations. Labs & Teams: Leads the MAST research group and directs the Stanford Platform Lab, focusing on cutting-edge systems research and prototyping.

Vijay KrishnaView profile

Professor

• Economic Theory
• Industrial Organization
• Computer Engineering
• +3 more

Vijay Krishna is a Distinguished Professor of Economics at Penn State University and serves as the Job Market Placement Director in the Department of Economics. His academic career includes a Ph.D. in Economics from Princeton University (1983), an M.A. in Economics from Delhi University (1978), and a B.A. in Mathematics from Delhi University (1976). His research focuses on Economic Theory and Industrial Organization , with recent interdisciplinary contributions in electronics and computer engineering. Notable areas include ferroelectric devices, memory storage technologies, and hardware security. He has also explored neural network architectures and energy-efficient computing systems. Recent publications (2023–2025) highlight innovations in cryogenic logic gates, nonvolatile memory systems, and hybrid neural networks. His work often bridges theoretical economics with applied engineering, reflecting cross-disciplinary collaboration. Awards and grants are not explicitly listed in the provided materials, but his extensive publication record underscores sustained academic engagement. Professor Krishna advises on job market placements for economics PhD students and maintains an active role in academic administration. His research group explores cutting-edge technologies in both traditional economic theory and emerging computational fields.

• Fault-Tolerant Computing
• Digital Circuit Design
• Embedded Systems
• +3 more

Jakob Lechner is an External Lecturer in the Computer Engineering department at Vienna University of Technology. His work focuses on fault-tolerant digital circuit design, asynchronous systems, and robust hardware architectures. Education : PhD in Computer Engineering (2014), Diploma in Computer Engineering (2008) Research interests include: Fault-tolerant computing Asynchronous circuit design Transient error mitigation in FPGAs Triple Modular Redundancy (TMR) Metastability containment Single Event Transients (SET) resilience His publications (2006–2018) emphasize fault injection techniques, robust GALS circuits, and asynchronous communication protocols. Key projects include Intel CARS (2017–2019) on delay-insensitive codes. Supervision : Guided K. D. Pados' thesis on AXI4 bus systems (2013).

Alan KanView profile

Lecturer

• Hearing Technology
• Signal Processing
• Spatial Hearing
• +6 more

Dr. Alan Kan is an Honorary Lecturer in the School of Engineering at Macquarie University, affiliated with the Hearing Research Centre and Future Communications Research Centre. He holds roles across multiple institutions, including past positions at the University of Wisconsin-Madison as a Research Associate and Assistant Scientist, and a Lecturer in the Department of Communication Sciences and Disorders there. His research focuses on hearing technology, spatial hearing, and cochlear implants, with a strong emphasis on audio virtual reality and biomedical signal processing. Education: PhD in Engineering from the University of Sydney (2010). Teaching includes digital systems units (ELEC2042, ELEC3042, etc.) and software design modules at Macquarie. Previously taught electroacoustic instrumentation calibration at UW-Madison. Research interests span signal processing, auditory neuroscience, and computational modeling. Recent projects include the PRISM study (2023–2026) on predicting interaction difficulty and the MOSAIC project (2023–2024) on motion and sound sensors for communication analysis. He serves on the editorial board of the Journal of Speech, Language and Hearing Research and contributes to the Acoustical Society of America. Grants and collaborations involve interdisciplinary teams focusing on hearing technology and sensor applications. Active in editorial and review roles for journals and conferences in signal processing and acoustics. Labs/Teams: Collaborates within the Hearing Research Centre and Future Communications Research Centre at Macquarie, engaging with global networks in auditory neuroscience and biomedical engineering.

• Neuroscience
• Biomedical Engineering
• Transcranial Magnetic Stimulation
• +5 more

Heikki Sinisalo is a Visiting Professor at the Department of Neuroscience and Biomedical Engineering at Aalto University. His research focuses on advanced brain-stimulation technologies, particularly transcranial magnetic stimulation (TMS) integrated with magnetic resonance imaging (MRI) and digital signal processing . Education: Doctor of Technology (Teknillinen fysiikka) – Aalto University, 30 Jun 2025 Diploma Engineer (Tietotekniikka) – Aalto University, 16 Nov 2018 Bachelor of Technology (Sähkötekniikka) – Aalto University, 20 Jun 2016 Sinisalo has pioneered multi-locus TMS systems for clinical and preclinical applications, emphasizing high-precision timing , ultra-high-field MRI compatibility , and pulse-width modulation to enhance stimulation accuracy. His work bridges engineering with neuroscience, targeting cortical and brain-stimulation advancements. In recent years, Sinisalo’s publications highlight innovations in closed-loop TMS , multi-coil configurations , and rapid stimulation protocols . Key technologies include field-programmable gate arrays , capacitor voltage optimization , and digital interfaces for real-time neuromodulation. He actively contributes to research infrastructure, having organized the TMS–EEG Summer School and Workshop (2022) , fostering collaboration between engineers and neuroscientists. His work also includes open-access datasets, such as the High-Precision Timing Method for Closed-Loop TMS (Zenodo, 2024).

• Interconnects
• Integrated Circuits
• 3D Integrated Circuits
• +3 more

Vasileios Pavlidis is a Senior Lecturer specializing in Advanced Processor Technology, focusing on cutting-edge research in integrated circuits, 3D integration, and hardware security. His work aligns with UN Sustainable Development Goals related to Digital Futures. Research interests include interconnects, clock distribution networks, and process variation mitigation in semiconductor systems. He explores emerging technologies like monolithic 3D integration and energy-efficient serial interfaces. His publications (2021–2022) address hardware security (e.g., EM side-channel attacks), 3D IC design, and compact filter systems. He has supervised 10 research projects but no grants or awards are explicitly mentioned. His work is part of the Advanced Processor Technology group.

• Unconventional Computing
• Bio-inspired Computing
• Modeling and Simulation
• +4 more

Dr. Antisthenis Tsompanas is a Senior Lecturer in Computer Science at the University of the West of England (UWE), part of the Faculty of Engineering and the Environment (FET). His research focuses on unconventional and bio-inspired computing, with expertise in modeling biological processes, cellular automata, and memristive systems. He holds degrees in Electrical and Computer Engineering from Democritus University of Thrace, Greece. Research interests span unconventional computing, bio-inspired algorithms, electronic systems design, and applications of cellular automata in computing and engineering. His work includes projects on fungal-inspired computing, neuroevolution-based medical device design, and FPGA implementations of biological models. Publications highlight trends in mycelium-based systems, memristive oscillators, and neuroevolution techniques applied to soft robotics and medical devices. Collaborative projects include EU-funded initiatives and interdisciplinary research in biomimetic engineering. He is a member of the Technical Chamber of Greece since 2009. Current contributions include advancing biohybrid actuators, developing models for engineered living materials, and exploring computational universality in biological systems.

Johannes MüllersView profile

Researcher

• Digital Health
• Telemedicine
• Biomedical Engineering
• +3 more

Johannes Müllers is a postdoctoral researcher at the Department for Epileptology, University of Bonn. His career bridges experimental physics and digital health, with expertise in FPGA-based sensor systems, telemedicine, and machine learning applications in epilepsy research. Bachelor's and Master's in Experimental Physics (2011-2013) PhD in Physics (2019) focusing on FPGA-based ADC systems for nuclear experiments His research interests include sensor technology for medical applications, eye tracking analysis in neurological disorders, and automated gesture classification using high-resolution sensor data. Recent work explores wearable posture-tracking devices and AI-driven epilepsy diagnostics. The 2025 publications highlight advancements in teleconsultation platforms, graph neural networks for eye fixation patterns, and multi-stream gesture classification models. Earlier works span particle physics experiments and educational outreach projects like the Bonn Physikshow.

• Soil Science
• Agricultural Engineering
• Materials Science
• +3 more

Rui Machado is an academic affiliated with the University of Algarve, University of Évora, and Embrapa. His research spans diverse fields including soil science, materials science, biotechnology, and environmental science. He has published extensively on topics such as soil salinity management, FPGA-based hardware design, and hydrogel-based cancer therapies. His work on tomato root distribution and irrigation regimes has contributed to agricultural sustainability. Machado's recent studies focus on combating skin cancer using advanced biomaterials and analyzing agroforestry systems in Portugal. He has developed computational tools like StemChecker for stem cell research and databases for molecular interaction networks. His interdisciplinary approach bridges engineering, biology, and environmental science. Research Highlights: Leadership in hydrogel applications for medical treatments Pioneer in FPGA-based time-to-digital converter optimization Expertise in soil management and crop physiology Creator of UniHI database for human molecular interactions

• Software-Defined Radio (SDR)
• Wireless Networking
• FPGA-Based Systems
• +3 more

Wei Liu is a postdoctoral researcher at the Department of Information Technology (EA05) , Faculty of Engineering and Architecture , Ghent University. His work focuses on advanced wireless networking technologies, particularly through Software-Defined Radio (SDR) and Field Programmable Gate Array (FPGA) implementations. Key contributions include the development of openwifi , a free and open-source IEEE802.11 SDR implementation on System-on-Chip (SoC) platforms Research expertise in Wi-Fi 6 , OFDMA , cross-technology interference , and low-latency SDR architectures Liu's publications demonstrate a strong focus on: Time synchronization (Wi-Fi and UWB integration, multi-hop networks) Spectrum sensing (heterogeneous devices, multi-fidelity data) Network virtualization for dynamic wireless environments Security and experimentation with SDR frameworks He collaborates extensively with researchers like Xianjun Jiao , Ingrid Moerman , and Muhammad Aslam , with projects spanning from 2010 to 2025.

Mustak Erhan YalcinView profile

Professor

• Field-Programmable Gate Arrays (FPGA)
• Neural Networks
• Image Encryption
• +7 more

Mustak Erhan Yalcin is a Professor at Istanbul Technical University within the Department of Electronics and Communication Engineering. His research spans hardware security, chaos theory, and signal processing, with a focus on FPGA-based systems, GPS spoofing detection, and image encryption. Key research areas: FPGA, neural networks, hyperchaotic systems, TRNG, GPS security. Recent publications (2023-2024) address encryption designs, spoofing detection, and radiation-tolerant hardware. Active in project leadership, including FPGA-based communication blocks and GPS security systems. Recipient of the 2016 Graduation Design and Project Awards in Electronics-Communication-Biomedical. Contact: yalcinmust@itu.edu.tr

Emad Samuel Malki EbeidView profile

Professor

• Robotics
• Embedded Systems
• Smart Grids
• +3 more

Emad Samuel Malki Ebeid is a Professor at the Institute of Mechanical and Electrical Engineering, University of Southern Denmark, specializing in robotics, drone technology, and power line inspection systems. His work bridges embedded systems, FPGA acceleration, and smart grid applications. PhD in Computer Science, University of Verona (2014) Postdoc in Electrical and Computer Engineering, Aarhus University (2016) Research interests focus on robotics , UAV autonomy , and power line inspection , with a strong emphasis on embedded systems and magnetic gripper design . Articles highlight trends in mmWave radar , GPU/FPGA acceleration , and drone swarm coordination for infrastructure maintenance. Scientific contributions include: IEEE Senior Member PI and Coordinator roles in EU Horizon Europe projects (Robots4Green, SPADE) Development of AERIAL-CORE and Drones4Safety frameworks Supervision of PhD students V. D. Hoang , N. H. Malle , and F. F. Nyboe Lab and team involvement spans the Aalborg Robotics 10-year seminar and special sessions at the Euromicro DSD conference. Media features include TV 2 News and 2200 News (2025) on drone-based power line maintenance.

• Wireless Communications
• Radio Frequency (RF) Engineering
• Signal Processing
• +4 more

Ronan Farrell is a Professor in the Department of Electronic Engineering at Maynooth University’s Faculty of Science & Engineering and currently serves as Vice President Academic and Registrar. He earned a BE and PhD from University College Dublin (1993, 1998) and previously worked at ICI/Zeneca Chemicals (1993–1995) and Parthus Technologies (1998–2001) as a mixed-signal ASIC designer. His academic career at Maynooth spans from Lecturer to Professor (2016), with leadership roles as Head of Department (2012–2019) and Director of the Callan Institute (2008–2015). He leads SFI research initiatives in radio frequency electronics and sensor networks. Education: BE (1993), PhD (1998) – University College Dublin Leadership: Head of Electronic Engineering (2012–2019), Director of Callan Institute (2008–2015) Research Focus: Wireless system design, RF/mixed-signal electronics, technology transfer, and innovation. His work bridges theoretical advancements (e.g., MIMO capacity optimization) with practical applications (e.g., 5G transmitters, digital predistortion techniques). Publication Trends: Recent articles emphasize 5G wireless systems, power amplifier linearization, OFDM signal processing, and behavioral modeling. Collaborations span institutions in Ireland, Europe, and Asia, with a focus on hardware implementation and system optimization. Students & Collaborations: Mentions co-authors in publications but no explicit student list provided. Collaborates with researchers in Ireland, Germany, and China.

María Dolores Valdés PeñaView profile

Professor

• Reconfigurable Systems
• Field Programmable Gate Arrays (FPGA)
• Digital Signal Processing
• +4 more

María Dolores Valdés Peña is a Professor at the Department of Electronic Technology, School of Telecommunications Engineering, University of Vigo (Spain). Her career spans over 25 years in academia and industry, with a focus on reconfigurable systems and FPGA applications. Education: PhD in Telecommunications Engineering (Cum Laude, University of Vigo, 1997), BS in Telecommunications Engineering (Universidad Central de las Villas, Cuba, 1990). Research Interests include FPGA-based data acquisition systems, digital signal processing, wireless sensor networks, neural networks, and FPSoCs for industrial applications. Her work bridges reconfigurable hardware with emerging technologies like IoT and AI. Recent Publications highlight trends in FPGA applications for industrial control, sensor calibration, IoT, and nanoscale reliability. She has contributed to advancements in Model Predictive Control, FPSoCs, and optical fiber sensor technologies. Scientific Awards: Extraordinary Doctoral Award (1997), 3 Six-Year Research Fellowships. Grants & Collaborations: Participated in 17 competitive public-funded projects, 5 research contracts (2 IP), and collaborated with INESC-IDE (Portugal), PUCRS (Brazil), and U.S. institutions. She held leadership roles in IEEE conferences and serves as Associate Editor for the IEEE Open Journal of the Industrial Electronics Society.