Find Academic Supervisors

• Composite Materials
• Aerospace Engineering
• Mechanical Engineering
• +4 more

Anthony Waas is a Felix Pawlowski Collegiate Professor in Mechanical Engineering and a joint faculty member in Aerospace Engineering at the University of Michigan's College of Engineering. His research focuses on composite materials, structural mechanics, and failure analysis, with a strong emphasis on computational modeling and experimental validation. He leads studies on fatigue damage, impact mechanics, and advanced material systems like metamaterials and additive manufacturing. Research interests include: Composite materials under static and dynamic loading Structural failure analysis and predictive modeling Computational tools for progressive damage simulation Applications in aerospace and biomedical engineering Recent work explores advancements in fatigue life prediction, delamination modeling, and high-precision antenna structures. His experimental methods integrate digital image correlation and multiscale testing to validate computational models. Grants and collaborations involve AFRL/NGC programs on fail-safe composite structures and NASA initiatives on space deployable systems. His lab develops novel solutions for stress concentration mitigation and lightweight aerospace components.

Hua WangView profile

Professor

• Integrated Circuits
• RF/mm-Wave/THz Systems
• AI-Assisted Design
• +3 more

Prof. Hua Wang is a Full Professor at ETH Zürich's Department of Information Technology and Electrical Engineering (D-ITET) and Deputy Head of the Integrated Systems Laboratory. He leads the Integrated Devices, Electronics, and Systems (IDEAS) Group and is a faculty member of the ETH Quantum Center. Prior roles include Founding Director of the Georgia Tech Center of Circuits and Systems and Associate/Assistant Professor at Georgia Tech's School of ECE. His research focuses on silicon and beyond-silicon integrated circuits for communication, sensing, and bioelectronics. Notable contributions include energy-efficient power amplifiers, mm-Wave systems, and AI-assisted design methodologies. Education: PhD (2009), MS (2007) - California Institute of Technology; BS (2003) - Tsinghua University. Research interests span: RF/mm-Wave/THz integrated systems AI-driven circuit design Bioelectronic sensors and actuators 6G communication technologies His 2025 publications highlight advancements in phased arrays, power amplifiers, and bioelectronic sensors. Awards include IEEE Fellow (2022), Qualcomm Faculty Awards (2021, 2020), and multiple student paper recognitions. Advising: Over 20 student paper awards across IEEE RFIC/IMS/CICC conferences. Labs: IDEAS Group (ETH), GEMS Lab (Georgia Tech). Courses taught include Radio-Frequency Electronics, CMOS for Biosensing, and Antenna Design.

Ross DrummondView profile

Lecturer

• Control Systems Engineering
• Battery Technology
• Nonlinear Systems Analysis
• +3 more

Ross Drummond is a Lecturer in Control and Systems Engineering at the University of Sheffield’s School of Electrical and Electronic Engineering. He holds an MEng in Aeronautical Engineering from Imperial College London (2009-2013) and a DPhil in Control from the University of Oxford (2013-2017). His career includes a UK Intelligence Community Research Fellowship (2020-2023) from the Royal Academy of Engineering, focusing on battery technology and control systems. His research spans lithium-ion battery modeling, nonlinear systems analysis, and neural network applications in control. Key areas include battery management systems, Lyapunov stability theory, and robustness certificates for neural networks. He leads the Engineering You're Hired initiative and coordinates student-led projects. Drummond’s work bridges academic research and practical engineering, with grants totaling £200,000 as PI for battery safety innovation. He teaches advanced control design (ACS317) and physical systems (ACS133). Recent publications emphasize battery modeling, additive manufacturing control, and neural network integration with control systems. Award: UK Intelligence Community Research Fellowship (2020-2023).

Dimitris AnagnostouView profile

Associate Professor

• Antennas Design and Engineering
• Microwave Engineering
• Electromagnetics
• +8 more

Dr. Dimitris Anagnostou is an Associate Professor at Heriot-Watt University's Institute of Signals, Sensors and Systems in Edinburgh, UK. He holds a B.S.E.E. from Democritus University of Thrace (2000), M.S.E.E. and Ph.D. from the University of New Mexico (2002–2005). Previously, he served as Assistant and Associate Professor at South Dakota School of Mines & Technology and held roles at Georgia Tech and Kirtland AFB as an AFRL Summer Faculty Fellow. His research focuses on reconfigurable antennas, metamaterials, biomedical applications, and neural network integration in antenna systems. He has authored over 200 publications and received notable awards including the IEEE John D. Kraus Award and European H2020 MSCA Fellowship. He serves on editorial boards of IEEE Transactions and chairs technical committees in antenna research. Education: B.S.E.E., Democritus University of Thrace (2000) M.S.E.E. and Ph.D., University of New Mexico (2002–2005) Research Interests: Reconfigurable antennas, metamaterials, RF harvesters, biomedical applications, neural networks, and smart antenna systems. His work spans microwave engineering, electromagnetic materials, and security applications such as radiating QR barcodes. Recent advancements include dual-band radar systems for vital signs detection and phase-gradient metasurface radomes for beam steering. Collaborations include projects on wireless vital sign sensing (Vision-RF) and smart antenna arrays for aerospace and healthcare. Awards: 2010 IEEE John D. Kraus Award 2017 Young Alumni Award (University of New Mexico) European H2020 MSCA Fellowship His team develops cutting-edge solutions in antenna design, including compact implantable antennas for biotelemetry and low-scattering Fabry-Perot cavities. He mentors students who have won IEEE and university awards, emphasizing innovation in both hardware and algorithmic design.

Ralf KaldenhoffView profile

Professor

• Applied Plant Sciences
• Synthetic Biology
• Environmental Science
• +3 more

Prof. Dr. Ralf Kaldenhoff is a Professor at the Faculty of Biology, TU Darmstadt, leading the Applied Plant Sciences group. His work focuses on applying basic scientific insights to practical solutions, with expertise in Synthetic Biology, Environmental Science, and Plant Physiology. Collaborations include industry partners like Merck for projects such as the algae-based 'Algae2Meat' initiative and plant growth lamps controlled by plant feedback systems. Research also explores high-frequency irradiation effects on plants via partnerships with the 'Forschungsring' in Darmstadt. His team employs advanced techniques like machine learning for modeling photosynthesis and spectral sensors for plant phenotyping. Education details: Not explicitly listed in provided texts. Research Interests: Synthetic Biology (e.g., Chlamydomonas reinhardtii engineering, ketocarotenoid pathways), environmental impacts of electromagnetic fields on crops, and sustainable biotechnology applications. Publications highlight advancements in LED light effects on plant metabolism, aquaporin functions in water transport, and microalgae applications. Key projects include developing real-time biomass monitoring systems and investigating CO2 diffusion mechanisms in living organisms. Grants and collaborations involve Merck’s Sustainability Hub and interdisciplinary efforts with TU Darmstadt’s engineering departments. No scientific awards are explicitly mentioned in the texts. His lab’s work spans from fundamental plant biology to industrial-scale biotechnological innovations. Labs/Teams: Applied Plant Sciences group at TU Darmstadt, collaborating with interdisciplinary teams in engineering and environmental science.

Chris BakerView profile

Professor

• Radar Systems
• Quantum Radar
• Signal Processing
• +4 more

Professor Chris Baker holds the Chair of Intelligent Sensor Systems at the University of Birmingham's Department of Electronic, Electrical and Systems Engineering. He is also Chief Technology Officer at Aveillant Ltd (a Thales company). With over 35 years in radar research, he led development of UK military systems like Sentinel and MSTAR, and now pioneers quantum radar through the UK National Quantum Technology Hub. A Fellow of IEEE and IET, Baker authored over 250 publications and co-authored the textbook 'Stimson’s introduction to airborne radar'. His research spans cognitive radar, quantum sensing, bio-inspired systems, and automotive radar. Education includes BSc/Dip App Phys/PhD from UK institutions. He served as Dean of ANU's College of Engineering and held Royal Academy of Engineering chairs. Teaching includes courses based on his textbook. Awards include the IEE Mountbatten Premium (twice), and leadership roles in IEEE and IET journals. Current projects focus on quantum radar, distributed sensing, and bio-inspired sensor systems. He collaborates with global universities and industries, advising on technical strategy and engineering solutions. Grants supported applied research worldwide, with consultancy for governments and defense.

Judith YangView profile

Professor

• Surface Reactions
• Catalysis
• Electron Microscopy
• +3 more

Judith Yang is a Professor in the Department of Physics & Astronomy at the University of Pittsburgh, holding a secondary appointment. Her research focuses on surface reactions (oxidation, catalysis) and electron microscopy, particularly using in situ ultra-high vacuum transmission electron microscopy (UHV-TEM) to study atomic-scale oxidation dynamics. She explores how oxides form non-uniform films, challenging classical theories based on thermogravimetric analysis. Her work combines experimental techniques like in situ TEM with computational methods (e.g., machine learning) to model oxidation mechanisms. Key areas include Cu-Ni alloy oxidation, surface segregation in dilute alloys, and catalyst design for energy applications. Collaborations span materials science, nanotechnology, and medical physics (e.g., radiation therapy imaging). Publications highlight contributions to understanding metal oxidation kinetics, electrocatalyst characterization, and multimodal operando approaches. She actively contributes to interdisciplinary research, bridging physics, chemistry, and engineering. Her research has implications for corrosion prevention, clean energy catalysts, and advanced materials development. She advises on grants related to in situ microscopy and collaborates with institutions globally. No specific awards are listed, but her extensive publication record reflects impactful contributions to materials science and surface physics.

Stenka VulovaView profile

Researcher

• Machine Learning
• Deep Learning
• Remote Sensing
• +7 more

M.Sc. Stenka Vulova is a Scientific Associate at the Technical University of Berlin's Department of Geoinformation, specializing in environmental planning through geoinformation processing. Her doctoral work focuses on the DFG Research Training Group 'Urban Water Interfaces' (UWI). She holds an International Master in Applied Ecology (IMAE) from the University of Poitiers and University of Kiel, and a B.S. in Ecology and Anthropology (Summa Cum Laude) from the University of Georgia. Research Interests : Machine learning/deep learning, remote sensing applications (climatology/hydrology), urban remote sensing, vegetation dynamics, heat/vapor flux analysis, and crowdsourced geographic information. Her work bridges AI techniques with environmental challenges, particularly wildfire prediction, drought impact analysis, and urban climate resilience. Publications : Over 15 peer-reviewed articles since 2020, focusing on wildfire drivers, urban evapotranspiration modeling, and environmental justice in cooling services. Key journals include Ecological Indicators , Science of the Total Environment , and Remote Sensing of Environment . Grants & Collaborations : Involved in DFG-funded projects (e.g., 'Food Deserts', 'Urban Water Interfaces'), and collaborations with the Earth Observation and Modeling (EOM) Laboratory. Her research emphasizes open data and reproducible methods. Professional Experience : Prior roles include Student Research Assistant at the University of Kiel, Environmental Analyst at Adrian Collaborative, and internships at the Georgia Department of Defense and Sustainable Human Ecosystems Laboratory (SHEL). Currently based at TU Berlin's Geoinformation lab (Room EB 234).

Richard MarksView profile

Professor

• AR/VR
• Machine Learning
• Context-Aware Systems
• +3 more

Richard Marks is a Professor of the Practice at the University of North Carolina at Chapel Hill, holding dual appointments in the School of Data Science and Society and the Department of Computer Science. His research focuses on AR/VR, machine learning, and context-aware systems. He previously led the PlayStation Magic Lab at Sony PlayStation, contributing to innovations like the EyeToy, PlayStation Eye, Move, and VR systems. Marks has over 100 patents and earned a PhD in Computer Science from Stanford University (1996) and a BS in Avionics from MIT (1990). Education: PhD in Computer Science, Stanford University, 1996 BS in Avionics, MIT, 1990 Research Interests: Marks explores immersive technologies including AR/VR interfaces, machine learning applications for interactive systems, and context-aware computing. His work emphasizes user-centered design principles in virtual and augmented environments. Recent Publications/Trends: Recent work focuses on spatial computing, gesture-based VR navigation, and multi-user VR environments. Key themes include improving tracking accuracy, optimizing HMD interactions, and integrating voice/gesture systems for natural user interfaces. Lab/Affiliations: Formerly director of PlayStation's Magic Lab and Google ATAP, he now leads UNC's research on next-generation interactive systems. His patents reflect innovations in controller design, tracking systems, and ambient computing interfaces.

Panos PapadimitratosView profile

Professor

• Cybersecurity
• Networking and Communications
• Artificial Intelligence
• +6 more

Panos Papadimitratos is a Professor at KTH Royal Institute of Technology, affiliated with the Digital Futures Faculty's Division of Software and Computer Systems. He leads the Networked Systems Security Lab and is part of the Trust Working Group. His research focuses on cybersecurity in vehicular systems, global navigation satellite systems (GNSS), edge AI applications, and privacy-preserving technologies. Education details are not explicitly stated in the provided text, but his extensive work suggests expertise in computer science, networking, and security systems. His research interests emphasize resilient communication protocols, secure authentication mechanisms, and adversarial machine learning applications. Recent publications highlight advancements in vehicular network security, GNSS spoofing detection, and AI-driven cybersecurity solutions. His work addresses challenges like DoS resilience, decentralized privacy, and large language model safety filters. Awards and grants are not explicitly listed here, but his prolific publication record indicates sustained research funding. He collaborates with RISE Research Institutes and Stockholm University through Digital Futures, focusing on societal challenges in digital technology development. Papadimitratos is involved in developing secure vehicular communication frameworks (e.g., VPKIaaS), privacy-enhancing mix-zones for location anonymity, and hardware-based GNSS attack mitigation systems. His lab's innovations include tools like RTKiller for GNSS rover control and statistical methods for spoofing detection.

Khalid RajabView profile

Lecturer

• Millimeter-Wave Radar
• Sensing for Health and Wellbeing
• IoT Sensors
• +3 more

Dr. Khalid Rajab is a Lecturer in the School of Electronic Engineering and Computer Science at Queen Mary University of London (QMUL). His research focuses on millimeter-wave radar systems, IoT sensors for health monitoring, and machine learning applications in ambient sensing. He holds a PhD and is a Fellow of the Higher Education Academy (FHEA) and a Chartered Engineer (CEng). His research interests include radar-based activity recognition, health and wellbeing sensing, and sensor fusion technologies. He leads projects in wearable-free healthcare monitoring and has contributed to innovations in radar localization and non-invasive health screening. Dr. Rajab has secured a £396,049 grant from EPSRC for developing smart sensors in 'virtual wards' using mm-wave radar. His work spans interdisciplinary collaborations, including with the Centre for Networks, Communications and Systems at QMUL. His publications highlight advancements in radar calibration, multi-target tracking, and metamaterials. He is affiliated with research centers focusing on electronics, networks, and brain-behavior interfaces.

• Wireless Communications
• 5G/6G Technology
• Satellite Communications
• +3 more

Rahim Tafazolli is the Regius Professor of Electronic Engineering and Director of the 5G/6G Innovation Centre (5GIC/6GIC) and the Institute for Communication Systems (ICS) at the University of Surrey. He has over 30 years of experience in digital communications research and has authored/co-authored over 1,000 publications. His work focuses on 5G/6G technologies, satellite communications, reconfigurable intelligent surfaces (RIS), and semantic communication systems. He leads major initiatives such as the 5GIC and 6GIC, collaborating with industry partners like InterDigital and A*STAR. His research has been recognized with prestigious awards including the KIA Laureate Award (2015) and Fellowships from the Royal Academy of Engineering (FREng) and the Wireless World Research Forum (WWRF). Key research areas include next-generation wireless networks, quantum-based communications, and AI-driven semantic systems. Recent advancements include frameworks like ResiTok for robust image transmission and SA-MIMO for quantum-native receivers. His work on distributed hybrid beamforming in satellite networks and resilient tokenization for low-rate communication highlights his contributions to practical wireless solutions. Collaborations with institutions such as NPL and international partners ensure his research bridges academia and industry. Scientific achievements include pioneering 5G testbeds and co-developing the first UK-made end-to-end 5G system. Awards reflect his global impact in advancing communication technologies. His leadership in initiatives like the £8M academic-industry center for secure AI-era networks underscores his role in shaping future network security and efficiency.

Carmine SenatoreView profile

Professor

• Superconductivity
• High-Temperature Superconductors (HTS)
• Accelerator Magnet Technology
• +5 more

Prof. Carmine Senatore is a renowned Professor of Physics at the University of Geneva (UNIGE), leading the Applied Superconductivity Group. He holds the position of Swiss Delegate to the International Energy Agency’s HTS Technology Collaboration Programme. His research focuses on superconducting materials for high-field magnets in particle accelerators, fusion energy, and medical applications. He collaborates with CERN, CHART, and projects like I.FAST and ARIES to advance HTS technologies. His group investigates electromechanical properties, thermal stability, and novel fabrication methods for superconductors like Nb3Sn and REBCO. Prof. Senatore teaches courses on superconductivity and general physics, and his work contributes to next-generation magnets for the Future Circular Collider (FCC) and muon colliders. Key collaborations include Princeton Plasma Physics Lab and Bruker BioSpin. His lab hosts PhD students and postdocs exploring HTS applications, with recent breakthroughs in magnet stability and material characterization. Education: Advanced degrees in physics, specialization in superconductivity (university details not explicitly stated in texts). Grants: Supported by EU Horizon 2020 (ISABEL, SuperEMFL), Swiss CHART initiative, and French SupraFusion program. Future Work: Development of 16T HTS magnets, muon collider magnets, and sustainable accelerator technologies. Research emphasizes applied superconductivity for energy, healthcare, and fundamental physics. His team’s innovations bridge material science and engineering for ultra-high-field applications.

Jacob BiehlView profile

Associate Professor

• Human-Computer Interaction
• Internet of Things
• Computer Systems
• +5 more

Dr. Jacob Biehl is an Associate Professor at the University of Pittsburgh, jointly affiliated with the Institute for Creative Sciences (ICDS) and the Department of Computer Science within the School of Computing and Information. His research focuses on the intersection of Human-Computer Interaction (HCI), systems, and IoT technologies, particularly in healthcare and surgical workflows. He earned his Ph.D. (2008), MS (2004), and BS (2002) in Computer Science and Statistics from the University of Illinois, Urbana. Key research interests include IoT applications for workflow optimization, AR/VR systems in surgery, and sensor-based localization. His work emphasizes practical deployments in real-world settings, such as endoscopic surgery and medical device integration. Dr. Biehl holds 25 U.S. patents and has led industry and academic collaborations to design systems that enhance human-technology interaction. Notable contributions include the Surreality Lab’s AR tools for surgical navigation and machine learning models for medical diagnostics. He received the Best Journal Paper Award (2023) for work on visual feedback delays in AR surgical tasks. His projects address challenges in neurosurgery, orthopedics, and burn care, leveraging both technical innovation and interdisciplinary collaboration. Dr. Biehl’s academic leadership includes co-directing the Surreality Lab, which bridges computer science and medicine. His educational background and industry experience at FX Palo Alto Lab (Silicon Valley) inform his focus on scalable, user-centered technologies.

Fred LivingstonView profile

Academic

• Cyber-Physical Systems
• Smart Manufacturing
• AI-Assisted Manufacturing
• +4 more

Fred Livingston is an Associate Teaching Professor in the Department of Industrial and Systems Engineering at North Carolina State University, joining in 2023. His research focuses on cyber-physical systems for smart manufacturing, leveraging AI and machine learning to enhance low-volume manufacturing processes through real-time process control and IIoT integration. He actively participates in extreme endurance events like the Badwater Ultra and IRONMAN competitions. Education: Ph.D. in Electrical and Computer Engineering (NC State, 2014) M.S. in Electrical and Computer Engineering (NC State, 2006) B.S. in Electrical and Computer Engineering (NC State, 2003) Research interests include AI-driven manufacturing optimization, sensor integration in textiles, and secure robotic systems. His work emphasizes real-time perception and digitalization to improve process scalability and responsiveness. Notable contributions span robotics security, wearable health monitoring systems, and biomedical scaffolds. Publications reflect a blend of academic and applied research, with recent work emphasizing secure autonomous systems and sensor networks. Awards include the 2007 Emerald Literati Network Outstanding Paper Award and two fellowships from the Microsystems and Engineering Sciences Applications Institute (2004 and 2006). Advising and grants are integral to his role, though specific student names or grant details are not listed here. Collaborations include projects on ultrasonic transceivers, unmanned systems, and textile-based sensors.