Find Academic Supervisors

• Bioelectromagnetics
• Electromagnetic effects on living tissues
• Electromedical design
• +3 more

Prof. Dr. Özlem Coşkun is a full-time faculty member at Süleyman Demirel University's Department of Electrical and Electronics Engineering within the Faculty of Engineering and Natural Sciences. She holds a PhD in Physics and has extensive academic qualifications including degrees from the same university. Education: Bachelor's in Electronics and Communications Engineering (2002) Master's in Electronics and Communications Engineering (2005) Doctorate in Physics (2009) Research Focus: Her work centers on bioelectromagnetics, electromagnetic effects on biological tissues, medical electronics, and antenna design. Key research areas include: Electromagnetic exposure safety assessments Biotelemetry and implantable device design Antenna systems for wireless communication Health monitoring technologies Recent Article Trends: Recent publications emphasize: Electromagnetic field effects on biological systems (testicular tissue, blood cells) Advanced antenna designs (MIMO, patch, implantable) Arduino-based biomedical instrumentation Health monitoring systems for elderly care Grants & Labs: While specific grants aren't listed, her work suggests involvement in: Biomedical engineering research facilities Electromagnetic field measurement labs Collaborations with clinical institutions

• Molecular Communication Networks
• 6G Networks
• Medical Applications of Communication
• +3 more

Alexander Wietfeld is a Researcher at the Chair of Communication Networks, Technische Universität München (TUM), under Prof. Wolfgang Kellerer. He pursues a PhD focusing on molecular communication networks for medical and biological applications, particularly within the 6G-life project. His work explores diffusion-based communication systems for in-body medical sensing and 6G network advancements. Education: B.Sc. in Electrical Engineering (2021) from RWTH Aachen and Imperial College London; M.Sc. in Communication Engineering (2023) from RWTH Aachen, with a thesis on hybrid beamforming in millimeter-wave cellular networks. Research interests include molecular communication systems, non-orthogonal multiple access (NOMA), and biomedical applications such as arterial plaque detection. He has contributed to projects like the 6G Testbed Bavaria and the ERC Network Flexibility initiative. Key publications address molecular communication for medical diagnostics, interference management in bio-nano networks, and testbed validation. His work bridges communication engineering with biomedical science, targeting future 6G and bio-nano network integration. Labs/Teams: Active in the FlexComNetsLab and 6G-IP Lab, collaborating with institutions like Northeastern University and Universitat Politècnica de Catalunya.

• Computer Networking
• Internet of Things (IoT)
• Wireless Sensor Networks
• +5 more

Thomas Heide Clausen is a Professor at Ecole Polytechnique, France, leading the computer networking research group and directing the IoT Innovation and Management Master’s program. A graduate of Aalborg University (M.Sc., PhD), he previously developed OLSR at INRIA. His research focuses on future internet architectures, IoT, routing protocols, and smart grid technologies. He has authored over 100 peer-reviewed publications (16,000+ citations) and contributed to 24 IETF standards, including work on IEEE 802.11s and ITU-T G.9903. Industrial collaborations include Hitachi, Fujitsu, and Cisco. He holds a Cisco-endowed chair in IoT and is an IEEE Senior Member and recipient of the 2021 IEEE Computer Society Distinguished Contributor award. Academic roles include teaching core networking courses and advising PhD students. Recent work spans zero-trust architectures, load-aware load balancing (e.g., SHELL/P4), and reinforcement learning for data center optimization. Active in standardization bodies like IETF and ITU-T, he also engages in industry partnerships through projects like SOGrid and MODAL-IoT. His lab focuses on applied research, with projects like 6LB (segment routing-based load balancing) and Trickle algorithm analysis for sensor networks.

Thomas LeeView profile

Professor

• Analog Circuit Design
• RF Integrated Circuits
• CMOS Technology
• +4 more

Thomas Lee is a Professor of Electrical Engineering at Stanford University, affiliated with the Stanford SystemX Alliance. He holds a ScD from MIT (1990). His research focuses on analog circuit design, RF integrated circuits, and terahertz electronics. He teaches advanced courses such as Advanced Circuit Techniques and High-Frequency Circuit Design Laboratory . Education: ScD in Electrical Engineering, MIT, 1990 Professional Appointments: Professor at Stanford University Key Roles: Faculty Lead in CMOS RF Integrated Circuits, Terahertz Systems, and Bioelectronics His research spans CMOS RF design, low-power circuits, and biomedical sensors. Notable contributions include work on superregenerative receivers, wireless power transfer, and capacitive micromachined ultrasonic transducers (CMUTs). He advises numerous PhD and master's students and collaborates on projects like the Stanford Microwave Integrated Circuits Lab (SMIRC). Publications emphasize cutting-edge topics like quantum computing gate emulation, low-energy signaling, and terahertz systems. Awards and recognitions are not explicitly listed in the provided text.

• Bioengineering
• Neurotechnology
• Micro/Nano Electro Mechanical Systems (MEMS)
• +4 more

Michel M. Maharbiz is a Professor in the Department of Electrical Engineering and Computer Science at the University of California, Berkeley , affiliated with the Berkeley Sensor & Actuator Center (BSAC) and the Center for Neural Engineering & Prostheses (CNEP) . His research focuses on creating synthetic interfaces to biological systems through extreme miniaturization of technology, including neural dust (ultrasonic implants for neural recording) and cyborg beetles (radio-controlled insect-machine hybrids). Current work emphasizes wireless bioelectronic devices for neural modulation, radiation detection, and tissue sensing. PhD, EECS, UC Berkeley (2003) BS, EE, Cornell University (1997) Key research areas include: Ultrasonic-powered implantable devices for neural interfaces and medical monitoring Biohybrid systems integrating biological and synthetic components Miniaturized sensors and actuators for deep tissue applications Machine learning applications in flagellar motor analysis and tissue engineering Recent publications demonstrate expertise in: 0.05 mm³ radiation detectors for cancer therapy Smart bone plates for fracture healing monitoring Magnetoelastic strain sensors for hernia repairs Carbon fiber neural recording arrays Germanium sacrificial layers for protein patterning Scientific recognitions include: Chan-Zuckerberg Biohub Investigator (2017) Bakar Fellow (2014) NSF CAREER Award (2009) MIT Technology Review TR10 (2009) McKnight Technological Innovations in Neuroscience Award (2017) His laboratory develops technologies for wireless, implantable systems that interface with biological tissues, focusing on applications in neuroscience, oncology, and regenerative medicine. Current projects include ultrasonic oxygen sensors, hernia repair guidance systems, and neural dust platforms for peripheral nervous system recording.

• Soft Robotics
• Human-Robot Interaction
• Controls
• +7 more

Marc Killpack is an Associate Professor at the College of Engineering , Brigham Young University . His research focuses on soft robotics , human-robot interaction , controls , and robot manipulation , with applications in search and rescue , disaster response , and collaborative systems . He leads the Rad Lab and teaches courses in robotics , instrumentation , and control systems . Ph.D. in Robotics, Georgia Institute of Technology (2013) M.S. in Mechanical Engineering, Georgia Tech (2008) M.S. in Manufacturing, Arts et Métiers ParisTech (2008) B.S. in Mechanical Engineering, Brigham Young University (2007) Research interests span soft robot control (model predictive, adaptive, and optimal control), human-robot co-manipulation , tactile and force sensing , 3D perception , and mechanical design optimization . His work addresses robot dynamics and teleoperation for unstructured environments . Recent publications highlight soft robotics , model predictive control , haptic sensing , and human-robot collaboration in disaster response and physical co-manipulation scenarios. Awards include the 2024 Best Demonstration at IEEE-RAS International Conference on Soft Robots, 2023 Early Career Teaching Award , and 2021 Excellence in Research Award . He has advised 16 graduate students , including current Ph.D. candidates and alumni now at institutions like Raytheon , 3M , and SkyTech Robotics . His professional roles include Associate Editor for the International Journal of Robotics Research and Outreach Co-chair for IEEE Humanoids 2024 . 2024 : Best Demonstration, IEEE-RAS International Conference on Soft Robots 2023 : Early Career Teaching Award, BYU 2021 : Excellence in Research Award, BYU Mechanical Engineering 2020 : Most Influential Faculty Award, BYU Mechanical Engineering 2019 : Outstanding Teaching Award, BYU Mechanical Engineering 2016 : Outstanding Faculty Teaching Award, BYU Mechanical Engineering 2014-2017 : Early Career Faculty Award, NASA He actively contributes to IEEE Control Systems Society and ASME as a reviewer and editorial board member, while developing open-source libraries like MoLDy for soft robot modeling and control.

• Natural Language Processing
• Human-Computer Interaction
• Speech Recognition
• +13 more

Prof. Dr. Bernd Ludwig is a faculty member at the Institute for Information and Media, Language and Culture (I:IMSK) within the Faculty of Languages, Literature and Cultural Studies at the University of Regensburg. He has held the Professorship for Information Linguistics since August 2011, following a visiting role in the summer semester of that year. His academic journey began at Friedrich-Alexander-Universität Erlangen-Nürnberg, where he earned his PhD in 2004 and completed his habilitation in 2010. His research spans the interdisciplinary domains of natural language processing, human-computer interaction, and artificial intelligence, with a focus on spoken dialogue systems, user modeling, and context-aware assistive technologies. He leads projects like URWalking and ROSE, contributing to advancements in indoor navigation and intelligent mobile assistance. His recent publications reflect a diverse portfolio, combining AI and NLP with health informatics, social media analysis, and industrial applications. Trends show a growing emphasis on large language models, health recommendation systems, and the societal impact of AI. Scientific Awards: Zeitschrift für Medizinische Physik (ZMP) Autorenpreis 2022 AMiner Most Influential Scholar Award 2018 Nomination for Best Paper Award at MUM 2016 Nomination for Best Paper Award at KI 2010 SEW-EURODRIVE-Stiftung Studienpreis for Diploma Thesis (1997) Advising and Grants: Prof. Ludwig has supervised multiple doctoral candidates to completion, including Dr. Karema Al Subari and Dr. Robert Jackermeier, and currently mentors PhD students. He has secured research funding, notably a BMBF grant for the OPTAPEB project (2018–2021), and contributes to academic service as co-editor of Künstliche Intelligenz and organizer of major conferences such as CHIIR 2022 and COSIT 2019. Labs and Teams: He is a core member of the research team at the University of Regensburg, collaborating closely with Prof. Udo Kruschwitz, Prof. David Elsweiler, and others. His workgroup focuses on intelligent user interfaces, multimodal interaction, and practical applications of AI in everyday contexts.

• Software Engineering
• Software Architecture
• Autonomous Systems
• +4 more

Patrizio Pelliccione is a Full Professor in Computer Science and Software Engineering at Gran Sasso Science Institute (GSSI) and an Associate Professor at Chalmers | University of Gothenburg. He holds a PhD in Computer Science from the University of L'Aquila. His research focuses on Software Architecture and Autonomous Systems, with applications in automotive and robotics domains. He has extensive international experience, including roles as Associate Professor at University of L'Aquila and Visiting Professor at Charles University. His research interests include software architecture design, autonomous systems, robotics, and automotive systems engineering. He actively collaborates with industry partners globally and has contributed to over 100 peer-reviewed publications across journals and conferences. Pelliccione chairs the Computer Science area at GSSI and leads research initiatives in value-based software ecosystems, continuous compliance, and architecture-driven development. He serves on program committees for major conferences like ICSE and ICSA, and has authored/co-authored books on software architecture and fault-tolerant systems. His work emphasizes practical industry applications, with contributions to automotive systems engineering frameworks, robotic mission specification languages, and safety-critical software development. Current projects explore AI integration in safety-critical domains like space systems and medical devices.

Eric LanteigneView profile

Associate Professor

• Mechanical Engineering
• Uninhabited Aerial Vehicles
• Airship Design
• +5 more

Eric Lanteigne is an Associate Professor in the Department of Mechanical Engineering at the University of Ottawa, serving as Associate Chair for Undergraduate Studies. He holds a PhD from the Royal Military College of Canada (2011), and B.A.Sc. and M.A.Sc. degrees from the University of Ottawa (2003, 2006). His research focuses on mechanisms design, uninhabited aerial vehicles (UAVs), airship systems, slung payload control, and non-linear control strategies. Education: Ph.D. Mechanical Engineering, Royal Military College of Canada (2011) M.A.Sc. Mechanical Engineering, University of Ottawa (2006) B.A.Sc. Mechanical Engineering, University of Ottawa (2003) Research interests include: - Uninhabited aerial vehicle (UAV) design and control - Airship dynamics and structural optimization - Path planning and non-linear control systems - Robotics applications in agriculture and environmental monitoring - Multi-body dynamic modeling - Energy harvesting for transportation systems Recent work emphasizes lighter-than-air UAVs, multibody aerial systems, and reinforcement learning for payload stabilization. His projects address challenges in autonomous systems coordination and environmental sensor deployment. He currently teaches the capstone design course for mechanical engineering students. Advising and grants involve mentoring students in advanced mechanical design and collaborating on industrial projects such as agricultural robotics and energy-efficient UAV systems. His lab focuses on experimental validation of control algorithms and aerodynamic performance optimization.

• Nanomaterials
• Nanotechnology
• Electrical Properties of Nanoscale Materials
• +11 more

Professor John Boland is a leading academic in the field of chemistry and nanotechnology, currently serving as a Professor in the School of Chemistry at Trinity College Dublin (TCD) and as the Director and Principal Investigator of CRANN (Centre for Research on Adaptive Nanostructures and Nanodevices). He holds a BSc from University College Dublin and a PhD from the California Institute of Technology, and has held previous positions at the University of North Carolina at Chapel Hill and IBM T.J. Watson Research Centre. His research is centered on the electrical and mechanical properties of nanoscale materials, molecular recognition, assembly, and nanoscale contact formation. His research interests span Nanomaterials , Nanotechnology , Electrical and Mechanical Properties at Nanoscale , Molecular Recognition and Assembly , Nanowire Networks , Graphene , Microplastic Generation and Detection , and Neuromorphic Devices . His work integrates experimental and theoretical approaches to understand and manipulate nanoscale phenomena, with applications in sensors, transparent conductors, and sustainable materials. Recent publications reveal a strong trend in microplastic research (e.g., release from baby bottles, paper cups, sutures) and the fundamental science of nanowire networks and grain boundaries. These studies combine advanced characterization techniques like Raman spectroscopy and scanning tunneling microscopy with practical environmental and engineering applications. The keywords across his recent work highlight interdisciplinary themes in materials science, environmental chemistry, and nanotechnology. Scientific Awards and Recognition: Science Foundation Ireland Future Innovation Prize (2022/23) Science Foundation Ireland Future Innovator Prize (2021/22) ERC Proof of Concept Award (TALNET) (2020–2021) Professor Boland has secured significant research funding from SFI, ERC, and Intel, supporting his leadership in the AMBER Research Centre. He advises students and postdoctoral researchers, though specific student names are not listed. His laboratory at CRANN focuses on nanoscale characterization, nanomaterial synthesis, and device fabrication, contributing to both fundamental science and technological innovation in adaptive nanostructures.

• Telecommunications
• Electrical and Computer Engineering
• Computational Electromagnetics
• +5 more

Tijana Dimitrijevic is an Assistant Professor at the Faculty of Electronics, University of Niš, and the Faculty of Engineering Sciences, University of Kragujevac, Serbia. She holds a PhD in Electrical and Computer Engineering with a specialization in Telecommunications, awarded in 2015 from the University of Niš. Since December 2023, she has been serving in a part-time capacity, with 70% appointment at the University of Niš and 30% at the University of Kragujevac. Education: PhD, Electrical and Computer Engineering (Telecommunications), Faculty of Electronics, University of Niš, 2015 Master of Science, Telecommunications, Faculty of Electronics, University of Niš, 2007 Bachelor of Science, Telecommunications, Faculty of Electronics, University of Niš, 2003 Her research centers on computational electromagnetics, particularly the development and application of the Cylindrical Transmission Line Matrix (TLM) method for modeling antennas and electromagnetic structures. Her work spans conformal antennas, on-body communication systems, near-field probes, and cavity resonators. She has made significant contributions to the accurate and efficient simulation of complex microwave components. The analysis of her recent publications reveals a consistent focus on advancing the Cylindrical TLM method for practical antenna design and electromagnetic compatibility applications. Her work bridges theoretical modeling with experimental validation, particularly in wireless and biomedical contexts. Professional Affiliations and Activities: Member, IEEE MTT-S Member, IEEE AP-S Member, IEEE Women in Engineering – Serbia and Montenegro Secretary, Association for Microwave Techniques, Technologies and Systems (MTT Serbia) Member, Organizing Committee, TELSIKS and ICEST Conferences Tijana Dimitrijevic has been involved in one national and one international research project. She served as a postdoctoral fellow at the University of Nottingham, UK, from 2019 to 2021. She advises no students listed in the provided text but is actively engaged in research collaboration and scientific dissemination. She leads computational modeling efforts within her research group, contributing to antenna design and electromagnetic simulation projects, often in collaboration with international partners.

Jan H. MikkelsenView profile

Associate Professor

• Antennas and Propagation
• RF Systems
• Microwave Engineering
• +7 more

Jan H. Mikkelsen is an Associate Professor at Aalborg University's Department of Electronic Systems, part of the Technical Faculty of IT and Design. His research focuses on antennas, propagation, millimeter-wave systems, RF sensors, and biomedical engineering applications such as bone fracture monitoring. He has contributed to projects like the MARS2 satellite service system and the SOFT transceiver initiative, emphasizing software-defined radio and satellite communication. Key technical areas include power amplifiers, UWB technologies, RFID systems for cryogenic environments, and adaptive antenna designs using liquid metal. His work bridges theoretical research with practical applications, addressing challenges in mixed-signal circuit design, noise suppression, and 5G systems. Research interests span from fundamental material characterization (e.g., ferromagnetic resonance in hexaferrite crystals) to applied technologies like wearable Bluetooth earbud optimization and cryogenic RFID systems. His projects often involve collaboration with industry and government grants, such as the Danish Council for Independent Research. He has published extensively on topics ranging from spin-wave RF applications to biomedical impedance measurement techniques, reflecting his interdisciplinary expertise in RF engineering and biomedical systems. Notable contributions include reconfigurable Yagi-Uda antennas using liquid metal and advancements in nonlinear amplifier characterization. Despite no listed awards, his work has been cited in fields like wireless sensor networks and satellite communication. He advises on projects involving UWB localization and has a lab focus on antenna design and millimeter-wave systems.

Senem KursunView profile

Professor

• E-textiles
• Conductive Yarns
• Flexible Sensors
• +7 more

Senem Kursun is a Professor at the Department of Mechanical Engineering, Istanbul Technical University. Her research focuses on e-textiles, wearable sensors, and smart fabrics, with applications in healthcare, robotics, and environmental monitoring. She leads projects on flexible sensors for agricultural and biomedical uses, RFID-enabled wearables, and textile-based transmission systems. Key research interests include conductive yarn integration, sensor durability under washing, and AI-driven sensor modeling. Awards include the Marie Skłodowska-Curie Fellowship and multiple İTÜ Academic Performance Awards. Projects: 5 active/granted projects on e-textile sensors, RFID systems, and robotic integration Awards: 12 honors including international textile innovation awards Publications emphasize sensor development (e.g., humidity/wetness detection, temperature stability) and interdisciplinary applications in medicine, agriculture, and textiles. Grants include TÜBİTAK and BAP-funded initiatives.

Robert HechtView profile

Senior Lecturer

• Geoinformatics
• Spatial Analysis
• Urban Analytics
• +15 more

Robert Hecht is a Senior Lecturer at the Chair of Spatial Development and Transformation, Faculty of Environmental Sciences, Dresden University of Technology (TUD), and a Senior Researcher and Project Coordinator at the Leibniz Institute of Ecological Urban and Regional Development (IOER). His work bridges academic research and practical urban planning, with a strong focus on geospatial technologies, machine learning, and citizen science. Research Interests: Spatio-temporal analysis of urban and settlement structures Machine learning and AI in geospatial data Urban green space monitoring and accessibility Volunteered Geographic Information (VGI) and crowdsourcing Building stock analysis and climate-friendly architecture Quality of spatial data and open urban data platforms Recent Research Trends: His recent publications highlight a shift toward open, participatory urban data ecosystems. He leads the Colouring Cities initiative, particularly the Colouring Dresden platform, which uses citizen science to document building characteristics for research and climate resilience. His work increasingly integrates digital twins, urban analytics, and interdisciplinary methods to address urban sustainability and equity in access to green and medical services. Scientific Awards: Winner, Citizen Science Competition 'Auf die Plätze!' (2022) Best Paper Award, SDSC2021 Winner, Pallas Ludens Crowdsourcing Challenge (2015) DAAD Research Scholarship (IIT Kanpur) Advising and Grants: While no direct advisees are listed, Hecht has led or contributed to numerous funded research projects such as GOAT 3.0, meinGrün (BMVI), ScaDS.AI (BMBF), ENOB:dataNWG (BMWI), and the Colouring Cities Research Programme. He has secured funding from federal ministries and international bodies, demonstrating strong grant leadership in urban data science and sustainability. Labs and Teams: He is a key member of the Research Area Spatial Information and Modelling at IOER and leads the European Hub of the Colouring Cities Research Programme . He collaborates with interdisciplinary teams across Germany and Europe, including researchers in geoinformatics, urban planning, ecology, and computer science.

• Biomedical Engineering
• Medical Instrumentation
• Photoplethysmography
• +5 more

Professor Panicos Kyriacou holds a Professorship in Biomedical Engineering at the School of Science and Technology, City, University of London, and directs the Research Centre for Biomedical Engineering. He earned his B.E.Sc. in Electrical Engineering from the University of Western Ontario and his M.Sc. and Ph.D. in Medical Electronics and Physics from St. Bartholomew’s Medical College, University of London. A global leader in Pulse Oximetry and Photoplethysmography, his research focuses on developing non-invasive optical sensors for early disease detection and health monitoring. He has authored over 300 publications, holds six patents, and led major healthcare technology projects funded by UK/EU bodies and industry. His roles include Adjunct Professor at Yale School of Medicine, Honorary Professor at IIT Roorkee, and Honorary Senior Research Fellow at Great Ormond Street Hospital, St Bartholomew’s Hospital, and The Royal London Hospital. He served as President of EAMBES (2017–2019) and Editor-in-Chief of Biomedical Signal Processing and Control . Awards include Fellowships from IoP, IPEM, IET, and Chartered Engineer/Physicist/Scientist statuses. Key research areas include optical sensor development, cardiovascular disease biomarkers, and wearable health technologies. He advises WHO/UNICEF on affordable healthcare for low-resource nations. Major grants and collaborations include work with GE Healthcare, Philips, and clinical institutions. Students under his supervision explore topics like photoplethysmography in cardiovascular screening, intestinal viability sensors, and MRI-compatible robotics.