Find Academic Supervisors

• Image Sensor Engineering
• CMOS Image Sensors
• Sensor Design
• +3 more

Albert Theuwissen is a Professor in the Faculty of Electrical Engineering, Mathematics and Computer Science, specializing in the Electronic Instrumentation department. His career spans decades of pioneering work in image sensor technology, with over 120 research publications and 27 recorded academic activities including keynote speeches at major international conferences. His research dominates Image Sensor Engineering, focusing on CMOS Image Sensors, Sensor Design, Analog-to-Digital Converters, and Thermal Sensors. He has developed breakthrough techniques for dark current compensation using in-pixel temperature sensors, linearity enhancement in column-parallel SAR ADCs, and global shutter characterization. His work bridges semiconductor physics and circuit design to solve critical challenges in high-speed imaging, dynamic range limitations, and thermal management. Analysis of his 2022-2024 publications reveals a concentrated effort on practical circuit innovations for CMOS image sensors, particularly calibration methods for column-parallel ADCs and thermal compensation systems. These contributions address fundamental bottlenecks in sensor performance, reflecting a strategic shift toward system-level optimization of imaging pipelines for scientific and industrial applications. No specific scientific awards were documented in the source material, though his status as a frequent invited speaker and editorial contributor indicates significant peer recognition within the sensor community. Professor Theuwissen has supervised 11 graduate students according to institutional records. His sustained research output and conference engagements suggest consistent grant funding, though specific awards aren't detailed in the available information. He operates within the Electronic Instrumentation research group, which provides the collaborative framework for his sensor development work. This group specializes in measurement systems and electronic instrumentation, directly enabling his innovations in image sensor architecture and performance characterization.

• Radar Engineering
• Antennas
• mm-Wave Technology
• +6 more

Alexander Yarovoy is a Full Professor at the Faculty of Electrical Engineering, Mathematics and Computer Science at Delft University of Technology (TU Delft), specializing in Radar Systems, Antenna Design, and mm-Wave Technology. His research bridges theoretical and applied domains, with a focus on automotive radar, weather radar, and machine learning integration in radar signal processing. Active in radar, antennas, and microwave engineering Key contributions to automotive radar and human activity recognition Collaborates on datasets like RaDelft for autonomous driving Recent work explores OTFS radar for communication integration, polarimetric calibration, and high-resolution imaging algorithms. His research often addresses challenges in real-world applications, such as urban meteorology and vehicular safety. In 2023, he received the outstanding paper award at IEEE MetroAeroSpace for radar waveform coexistence studies. He participates in conferences and editorial activities, advancing radar metrology and phased array technologies.

• Photovoltaics
• Solar Cell Engineering
• Thin Film Technology
• +5 more

Prof. Miro Zeman serves as a Professor in the Photovoltaic Materials and Devices research group within the Department of Electrical Engineering, Mathematics and Computer Science at Delft University of Technology. With an extensive publication record of 559 research outputs including articles, conference contributions, patents, and datasets, he maintains active leadership in photovoltaic research. His research spans photovoltaic materials science , solar cell engineering , and renewable energy systems . Specializing in crystalline silicon solar cells, thin-film technology, and tandem cell configurations, his work addresses fundamental semiconductor physics alongside practical implementation challenges. Recent research focuses on impedance spectroscopy of PN junctions, defect analysis in transition metal oxides, and integration of power electronics with photovoltaic modules. Zeman's publication portfolio reveals consistent contributions to high-impact journals including Solar Energy Materials and Solar Cells , ACS Applied Energy Materials , and EPJ Photovoltaics . The research demonstrates strong interdisciplinary connections between semiconductor physics, materials engineering, and energy system integration, with particular emphasis on improving efficiency metrics and practical implementation of photovoltaic technologies across diverse environmental conditions. His research group has produced 37 supervised academic works and maintains active collaboration with industry and academic partners globally, as evidenced by the extensive network visualizations in his profile. The Photovoltaic Materials and Devices laboratory at TU Delft serves as the primary research environment for his team's investigations into next-generation solar technologies.

Thamo SutharssanView profile

Senior Lecturer

• Aeronautics
• Embedded systems
• System integration
• +4 more

Dr Thamo Sutharssan is a Senior Lecturer at the University of East London within the Department of Engineering & Construction, School of Architecture Computing and Engineering. A Chartered Engineer and Chartered Manager, he leads both the BEng Aeronautical Engineering and BSc Railway Engineering programs, leveraging extensive prior experience at the University of Portsmouth, Havering College, Derby College, and Rolls-Royce Aerospace Academy. His academic qualifications include a BSc in Electrical & Electronic Engineering, an MSc in Aeronautical Engineering, and a PhD in Computing and Mathematics. Dr Sutharssan's research spans Aeronautics, Embedded systems, System integration, Machine learning, and Prognostics and Health Management (PHM). His work addresses critical reliability challenges in engineering systems, with significant contributions to fuel cell monitoring (2017 review cited 261 times) and data-driven PHM approaches (2015 review cited 145 times). Recent publications demonstrate expansion into AI-driven medical imaging and autonomous robotics. His publication trajectory reveals consistent expertise in prognostics evolving toward cutting-edge AI applications, with highly influential reviews establishing foundational methodologies now widely adopted in energy systems and electronics reliability engineering. Scientific recognition includes: Fellow of the Higher Education Academy Research leadership encompasses a £177,500 Knowledge Transfer Partnership project on fuel cell Balance of Plant systems, alongside academic service as Review Manager for the Prognostics and Health Management Society conferences since 2014. His industry collaborations include Scottish and Southern Energy and Sustainable Energy Technologies. Current academic partnerships involve Heriot-Watt University and New Mansoura University (Egypt), focusing on energy systems integration and engineering education development.

• Power Electronics
• Semiconductor Devices
• Electrical Engineering

André Schmidt holds the Professorship for Power Semiconductors at ETH Zurich , Switzerland. His research focuses on semiconductor device engineering and power electronics. His work addresses the design and optimization of high-performance semiconductor components for energy-efficient systems. While no specific details about his educational background or prior affiliations are provided, his current role emphasizes applied research in electrical engineering disciplines.

• Medical ultrasound
• Image guided surgery
• Adaptive imaging
• +4 more

Gregg Trahey is the Robert Plonsey Distinguished Professor of Biomedical Engineering at Duke University, with additional appointments in Radiology. He leads pioneering research in medical ultrasound imaging and serves as a Bass Fellow, reflecting his significant contributions to both research and education. B.S. from University of Michigan, Ann Arbor (1975) M.S. from University of Michigan, Ann Arbor (1979) Ph.D. from Duke University (1985) Dr. Trahey's research focuses on medical ultrasound, image guided surgery, adaptive imaging, imaging of tissue's mechanical properties, and radiation force imaging . His laboratory develops and evaluates novel ultrasonic imaging methods with current projects involving high resolution imaging of the breast and mechanical characterization of both breast and cardiovascular systems. They conduct comprehensive testing through phantom models, animal trials, ex vivo experiments, and human clinical trials, with current clinical applications focusing on vascular plaque imaging and breast lesion characterization. Analysis of Dr. Trahey's recent publications (2022-2025) reveals a strong emphasis on spatial coherence techniques, adaptive ultrasound imaging systems, and quantitative tissue characterization. His work bridges engineering innovation with clinical applications, particularly in cardiac and breast imaging, with key themes including clutter reduction, real-time adaptive systems, and mechanical property assessment of tissues. Fellow, Institute of Electrical and Electronics Engineers (IEEE), 2022 MERIT Award, National Institutes of Health, 2009 Fellows, American Institute for Medical and Biological Engineering, 1999 Dr. Trahey has taught courses including MEDPHY 738: Radiology in Practice, ECE 392: Projects in Electrical and Computer Engineering, and BME 848L: Radiology in Practice. His research is supported by significant funding, particularly from the National Institutes of Health as evidenced by his prestigious MERIT Award, which provides extended grant support to researchers with exceptional performance. Dr. Trahey leads an active research laboratory that conducts comprehensive studies from phantom development through clinical trials. His team collaborates extensively with clinicians for translational research applications, particularly in cardiology and radiology. Current projects focus on high-resolution imaging techniques, mechanical tissue characterization, and development of novel ultrasound methods for improved diagnostic capabilities while maintaining patient safety.

• Production Systems Optimization
• Flow Simulation
• Energy-Efficient Optimization
• +5 more

Abdelkader Mekhalef Benhafssa serves as a Teacher-Researcher at CESI Engineering School within the Engineering and Digital Tools research team. His work spans industrial engineering, robotics, and sustainable manufacturing systems. Education: Doctorate in Electrical Engineering (2017) Master's degree in Electrical Engineering specializing in Electrical Networks and High Voltage Techniques (2013) His research focuses on optimizing production systems through multi-agent simulations, human-robot collaboration in Industry 5.0 contexts, and energy-efficient manufacturing. Key areas include flow simulation, autonomous vehicle scheduling in logistics, and electrostatic separation techniques for plastic waste recycling. His experimental work examines tribocharging mechanisms and particle behavior in recycling processes. Publications reveal a strong trend toward human-centric manufacturing systems, with recent work (2023-2025) emphasizing collision avoidance algorithms, dynamic scheduling for autonomous vehicles, and energy-conscious production planning. Earlier research (2014-2018) established expertise in electrostatic separation for plastic waste recycling. Supervision & Projects: Supervised Kader Sanogo's 2024 thesis on optimizing transport tasks for collaborative robots in Industry 5.0 Currently supervising Nesrine Hebbadj's research (2024-2027) on human-centered production planning Leading DYNALOG project (2025-2027) on robotic intra-logistics systems His work integrates industrial engineering with environmental sustainability, particularly through advanced recycling technologies for plastic waste and energy-efficient production systems.

Katsuyuki HanedaView profile

Associate Professor

• Physical layer wireless communications
• Antennas and propagation
• RF instrumentation and measurements
• +7 more

Katsuyuki Haneda serves as Associate Professor in Aalto University's Department of Electronics and Nanoengineering within the School of Electrical Engineering. Holding a Doctor of Engineering from Tokyo Institute of Technology (2007), his research pioneers high-frequency radio systems including millimeter-wave and Sub-THz communications, with critical applications in medical devices, post-disaster scenarios, and Internet-of-Things networks. Education: Doctor of Engineering, Tokyo Institute of Technology, 2007 Research Focus: Dr. Haneda's work spans Physical layer wireless communications , Antennas and propagation , and RF instrumentation , with groundbreaking contributions to wireless medical applications (notably capsule endoscopy) and in-band full-duplex radio technologies . His group develops advanced channel models for 6G while addressing real-world challenges in post-disaster communications through experimental validation. Publication Trends: Recent 2025 works reveal concentrated advancements in Sub-THz/D-Band communications, featuring innovative antenna designs for 28 GHz systems, channel modeling techniques for 3GPP-like standards, and medical wireless solutions. Publications demonstrate strong experimental emphasis with field measurements across urban, indoor, and medical environments. Scientific Recognition: ISMICT 2019 Best Paper Award (medical wireless) Dual 2013 Best Paper Awards (IEEE VTC Spring & EuCAP) IEICE Best Survey Paper (2015) IEEE AP-S Young Engineer Award (2007) Tokyo Tech Honorary Student Award (2002) Leadership & Collaboration: As Associate Editor for IEEE Transactions on Antennas and Propagation (2012-2016) and Wireless Communications (2013-present), Dr. Haneda shapes field standards. He co-chairs the radio channel working group in COST Action IRACON (CA15104), driving European 5G+/6G research collaboration while supervising graduate researchers in experimental high-frequency communications. Research Infrastructure: The Katsuyuki Haneda Group maintains specialized laboratories for millimeter-wave/Sub-THz channel sounding, antenna characterization, and medical wireless prototyping, supporting hardware-in-the-loop validation for next-generation communication systems.

Jenn-Ming YangView profile

Professor

• Composite Materials
• High-Temperature Materials
• Aerospace Structural Applications
• +3 more

Jenn-Ming Yang is a Distinguished Professor in the Department of Materials Science and Engineering at the University of California, Los Angeles (UCLA), holding the Collins Aerospace Term Chair for Excellence. His work focuses on advanced composite materials for aerospace and transportation applications, with significant contributions to high-temperature material systems. Professor Yang's research centers on fundamental problems in processing, microstructure development, and mechanical behavior of high-temperature composites. His investigations target critical applications in aerospace structural systems and ground transportation, with emphasis on material durability, failure mechanisms, and performance under extreme conditions. This work bridges materials science, mechanical engineering, and aerospace engineering through experimental and analytical approaches. His recent publications (2007-2008) reveal a concentrated focus on composite material systems, including titanium-based laminates, carbon nanotube reinforcements, ultra-incompressible transition metal diborides, and ceramic composites. Key research themes involve mechanical property characterization, failure analysis, and microstructure-property relationships, with direct applications to aircraft structures, propulsion systems, and energy storage technologies. Professor Yang's scientific achievements have been recognized through numerous prestigious awards: Scholars Award from National Engineering Research Center for Composite Manufacturing Science & Engineering (1987) Faculty Career Development Award (1989) Presidential Young Investigator Award from the National Science Foundation (1990-1995) Alcoa Foundation Award (1992) Ford Foundation Award (1993) Best Paper Award from the Japan Society of Mechanical Engineers (2007) His research program addresses critical challenges in advanced material systems for next-generation aerospace and transportation applications, with ongoing investigations into novel composite architectures and high-temperature material solutions.

Tarik GrabaView profile

Lecturer

• Hardware Security
• Embedded Systems Design
• Integrated Circuit Reliability
• +3 more

Tarik Graba is a Lecturer at Télécom Paris and a member of the Secure and Safe Hardware (SSH) research team within the Information Processing and Communication Laboratory (LTCI) department. His work focuses on hardware security, embedded systems, and cryptographic implementation. Education: Not explicitly mentioned Current Affiliations: Télécom Paris (Faculty), LTCI, SSH Team His research explores designing secure and reliable integrated systems , with emphasis on managing complexity, power consumption, and flexibility in embedded environments. He contributes to side-channel analysis , lightweight cryptographic algorithms , and hardware-based security mechanisms . The 15 most recent publications highlight his work in lightweight cryptography , hardware security , and embedded system optimization , particularly focusing on RISC-V extensions , side-channel leakage , TRNG circuits , and secure cryptographic processors . Scientific Awards Academic Palms award, Télécom Paris (2021) Tarik Graba collaborates extensively in hardware security research and has advised multiple projects on physical security countermeasures and embedded cryptographic systems . He works with teams like the SSH Laboratory to develop secure hardware architectures.

Sinead O'KeeffeView profile

Research Fellow

• Radiation Dosimetry
• Optical Fiber Sensors
• Brachytherapy
• +4 more

Sinead O'Keeffe is a Research Fellow at the University of Limerick in the Faculty of Science and Engineering , specifically within the Department of Electronic and Computer Engineering . Her research bridges the technical domain of optical fiber sensor development with critical applications in radiation therapy and sports medicine. Primary Research Themes Medical radiation dosimetry using optical fiber sensors Brachytherapy dose monitoring systems Sports injury prevention in Gaelic football and running Mental health literacy in rural farming communities Key Technical Contributions Development of scintillation-based dosimeters Characterization of perfluorinated polymer fibers 3D printed sensor systems for clinical and rehabilitation applications Interdisciplinary Applications Prostate cancer radiotherapy dose measurement Mental health intervention programs for athletes Work-family conflict analysis in Irish farming Email: sinead.okeeffe@ul.ie

• Graphene Electronics
• Microwave Engineering
• Terahertz Technology
• +3 more

Omid Habibpour is an Assistant Professor at the Microwave Electronics lab within Chalmers University of Technology. His research focuses on graphene-based devices and MMICs for high-frequency applications. B.Sc.: Electrical Engineering (Telecommunication Systems), Sharif University of Technology (2002) M.Sc.: Optical Telecommunication Systems (with honors), Amirkabir University of Technology (2004) His research spans Graphene Electronics , Microwave Engineering , and Terahertz Technology , emphasizing material characterization, device modeling, and MMIC design for high-data-rate communication systems. Recent work includes voltage-dependent mobility studies and zero transconductance resistance analysis in graphene FETs. Projects include the Graphene Core Project 3 (European Commission) and Quad Band Infrared Detector (VINNOVA). Publications trend toward graphene integration in microwave/THz systems and SiC substrate applications.

• Software Engineering
• Software Testing
• Program Analysis
• +4 more

Alessandro (Alex) Orso is the Dean and Professor at the University of Georgia College of Engineering , starting in 2025. Previously, he spent 25 years at Georgia Institute of Technology , where he served as a Professor in the College of Computing , Director of the Scientific Software Engineering Center , and Associate Dean for Off-Campus and Special Initiatives . Education: Ph.D. in Computer Science – Politecnico di Milano, Italy M.S. in Electrical Engineering – Politecnico di Milano, Italy B.S. in Electrical Engineering – Politecnico di Milano, Italy Research Focus: Alex Orso is a leading expert in software engineering , with a focus on software testing , program analysis , and debugging . His work aims to improve software reliability, security, and trustworthiness , and has been validated on real-world systems. He has led initiatives to integrate AI and large language models into testing workflows, particularly for REST APIs and mobile applications . Scientific Recognition: Distinguished Member of the Association for Computing Machinery (ACM) Fellow of the Institute of Electrical and Electronics Engineers (IEEE) ISSTA Impact Paper Award (2021) Research Funding & Leadership: Orso has secured major funding from Google, IBM, Microsoft , and government agencies. In 2021, he led the acquisition of $11 million from Schmidt Futures to establish the Scientific Software Engineering Center at Georgia Tech, where he served as inaugural director. Teaching & Innovation: He was an early advocate of Georgia Tech’s Online Master of Science in Computer Science (OMSCS) and has taught a virtual software engineering course since its launch in 2014.

Julian CooperView profile

Assistant Professor

• Chemical Reactivity in Materials
• Materials Science
• Mechanics of Materials
• +3 more

Julian Cooper is an Assistant Professor at the University of Wisconsin–Madison Department of Chemistry, focusing on developing novel chemical reactivity in materials at the intersection of chemistry, materials science, and mechanics. His research addresses global challenges in sustainability, energy storage, and materials performance through interdisciplinary approaches. Education: B.S. in Chemistry from Rice University (2014), Ph.D. in Chemistry from MIT (2019), Beckman Institute Postdoctoral Fellow at the University of Illinois Urbana-Champaign (2019-2024). Research Interests: Combines chemistry and mechanics to create reprocessable thermosets, optimize polymerization reactions, and explore scalable solutions for material deconstruction. Scientific Awards: NSF Graduate Research Fellowship recipient. Students: Advises graduate student Katie Chism and undergraduate Ziang Zhao. The Cooper Group's recent publications focus on polymerization mechanisms, sustainable materials, and enzyme inhibition. Their work emphasizes practical applications in chemical recycling, predictive modeling for thermosets, and catalytic innovations. The lab actively recruits students and has established infrastructure with specialized glassware and instruments, supported by UW-Madison's master glassblower Tracy Drier.

Stefan BöttcherView profile

Professor

• Databases
• Data Compression
• Graph Algorithms
• +3 more

Prof. Dr. Stefan Böttcher serves as Professor and Section Owner of Databases and Electronic Commerce within the Department of Computer Science at the University of Paderborn's Faculty of Computer Science, Electrical Engineering and Mathematics. His office (F2.217, Fürstenallee 11) operates by email appointment, and he teaches courses including Betriebssysteme (Operating Systems), maintaining active academic engagement through current publications and institutional roles. His research centers on advanced data compression methodologies for complex structures, specializing in grammar-based techniques for graphs, strings, and trees. Key focus areas include enabling efficient query processing directly on compressed representations—critical for semantic web triple stores and big data systems—while optimizing storage-performance tradeoffs through novel algorithmic approaches in Burrows-Wheeler transforms and tree recompression. Analysis of his 2018-2025 publications reveals consistent innovation in compressing non-linear data structures: from RECUT's tree recompression to 2025's string partitioning for BWTs, his work bridges theoretical algorithm design with practical database applications, particularly targeting high-performance querying in grammar-compressed graph frameworks for RDF triple stores. Scientific Awards No awards documented in source materials Prof. Böttcher mentors graduate researchers in database compression technologies through his Databases and Electronic Commerce section, with research outcomes published in premier venues like IEEE DCC and Big Data conferences. His projects demonstrate sustained funding through continuous high-impact outputs without explicit grant documentation in the provided texts. He leads the Databases and Electronic Commerce research group, driving innovations in compressed data structures that reduce storage overhead while maintaining query efficiency for semantic web and large-scale graph database implementations.