جست‌وجوی استاد و پژوهشگر

Thomas Leeمشاهده پروفایل

استاد

• Analog Circuit Design
• RF Integrated Circuits
• CMOS Technology
• +۴ مورد دیگر

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)
• +۴ مورد دیگر

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
• +۷ مورد دیگر

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
• +۱۳ مورد دیگر

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
• +۴ مورد دیگر

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 Lanteigneمشاهده پروفایل

دانشیار

• Mechanical Engineering
• Uninhabited Aerial Vehicles
• Airship Design
• +۵ مورد دیگر

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
• +۱۱ مورد دیگر

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
• +۵ مورد دیگر

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. Mikkelsenمشاهده پروفایل

دانشیار

• Antennas and Propagation
• RF Systems
• Microwave Engineering
• +۷ مورد دیگر

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 Kursunمشاهده پروفایل

استاد

• E-textiles
• Conductive Yarns
• Flexible Sensors
• +۷ مورد دیگر

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 Hechtمشاهده پروفایل

مدرس ارشد

• Geoinformatics
• Spatial Analysis
• Urban Analytics
• +۱۵ مورد دیگر

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
• +۵ مورد دیگر

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.

• Embedded Systems
• Digital Communications
• Wireless Communications
• +۱۳ مورد دیگر

Dr. Carlos Rodríguez-Morcillo García is a Research Associate Professor at the Technological Research Institute (IIT), School of Engineering - ICAI, Comillas Pontifical University. He has been affiliated with the institute since July 2001 and conducts research in bioengineering and railway systems, while teaching courses in Electronics, Digital Electronics, Digital Signal Processing, and Industrial Communications Systems. Education: Ph.D. in Industrial Engineering, Comillas Pontifical University, 2007 M.Sc. in Communications Technologies and Systems, Polytechnic University of Madrid, 2013 Industrial Engineering (Electronics), Comillas Pontifical University, 2001 His research interests center on embedded systems, digital and wireless communications, programmable logic, PCB design, and microcontroller programming, with applications in both biomedical engineering and railway systems. His work bridges hardware design and real-world implementation in smart grids, intraoperative monitoring, and transportation networks. He has made significant contributions to power line communications (PLC), particularly in smart metering and noise mitigation techniques. The analysis of his recent publications reveals a strong trend toward interdisciplinary research, especially in biomedical applications such as intraoperative neurophysiological monitoring and cervical spine biomechanics. Earlier works focus on railway communications and PLC systems, demonstrating a long-standing expertise in industrial and transportation networking. His recent shift includes machine learning for chronic disease monitoring and wireless medical devices, indicating a continued evolution into health technology innovation. Scientific Awards: 1st Cross4Health Hackathon in Madrid Award (2019) Honorary Distinction for Best Doctoral Thesis Supervision (2015) Erasmus Mundus Fellowship (2014) Dr. Rodríguez-Morcillo has supervised two doctoral theses and advised numerous research projects, including EU-funded Horizon 2020 initiatives like RESPONSE and RAYUELA. He has led over 60 research and development projects, often in collaboration with industry and public institutions. His work has been supported by grants from the European Commission, the Spanish Ministry of Science, and regional bodies like the Community of Madrid. He is actively involved in research teams focusing on smart grids, biomedical instrumentation, and transportation systems. He has contributed to the development of wireless neuro-monitoring systems and intelligent lighting and logistics solutions. His collaborations span institutions such as Lawrence Berkeley National Laboratory, University of Kent, and various European research consortia.

• Evolutionary Algorithms
• Machine Learning
• Optimization
• +۷ مورد دیگر

Giovanni Iacca is an Associate Professor at the University of Trento's Department of Information Engineering and Computer Science (DISI), where he serves as Coordinator of the Master's Degree in Computer Science and Deputy Director of the Information Engineering and Computer Science Doctoral School. He leads the Distributed Intelligence and Optimization Lab (DIOL) and teaches courses including Computer Architectures, Introduction to Machine Learning, Bio-Inspired Artificial Intelligence, and Optimization Techniques across multiple academic programs. PhD in Computer Science, University of Jyväskylä, Finland (2011) MSc in Computer Engineering, Technical University of Bari, Italy (2006) Professor Iacca's research focuses on the intersection of evolutionary computation, machine learning, and optimization with applications in distributed systems and robotics. His work spans from theoretical foundations of memetic computing and multi-objective optimization to practical implementations in soft robotics, embedded systems, and healthcare applications. Recent efforts emphasize interpretable AI, particularly in reinforcement learning contexts, where his team develops methods to make decision processes transparent while maintaining performance. His research bridges the gap between fundamental algorithmic development and real-world engineering challenges, with over 15 years of industrial experience in optimization applied to engineering, logistics, and scheduling. Analysis of his recent publications reveals a strong trend toward interpretable AI systems, particularly in reinforcement learning contexts, with significant contributions to federated learning optimization, evolutionary neural architecture search, and applications in healthcare scheduling. His work consistently combines evolutionary algorithms with modern machine learning techniques to solve complex optimization problems across diverse domains including soft robotics, batteryless edge computing, and supply chain management. Scientific Awards: EvoApplications Best Paper Award (2017) UKCI AWARENESS Best Paper Award (2012) IEEE CIS Outstanding Student-Paper Award (2011) Professor Iacca actively supervises a large research group with numerous PhD students across multiple doctoral programs, including Information Engineering and Computer Science, Industrial Innovation, and the National PhD in Artificial Intelligence for Society. His lab has secured significant research funding through collaborations with industry partners and international research consortia. Recent grants support work on interpretable reinforcement learning, federated optimization, and applications of evolutionary computation in healthcare and robotics. He has also been appointed to editorial roles for prestigious journals including IEEE Transactions on Evolutionary Computation and Evolutionary Intelligence. The Distributed Intelligence and Optimization Lab (DIOL) under Professor Iacca's leadership comprises over 30 researchers including postdocs, PhD students, and master's students. The lab maintains strong international collaborations and has developed specialized expertise in evolutionary computation, interpretable AI, and optimization for embedded systems. Current projects include work on the EIC Pathfinder Challenge "Awareness Inside," development of methods for batteryless edge intelligence, and applications of evolutionary algorithms to healthcare scheduling problems.

• Biomedical Engineering
• Wearable Systems
• Neural Networks
• +۷ مورد دیگر

Paolo Motto Ros is a Researcher specializing in biomedical engineering, wearable systems, and low-power electronics. He has extensive experience in event-driven signal processing , functional electrical stimulation , and biocompatible sensor design , with a focus on human-machine interfaces and implantable devices. His research interests include: Biomedical instrumentation Wireless power/data transmission Surface electromyography (sEMG) Low-complexity embedded systems Plant impedance monitoring Neuroprosthetics Recent publications highlight collaborations with institutions on piezoelectric skin sensors , CMOS neural implant circuits , and plant health monitoring systems . His work spans applications in healthcare, robotics, and environmental technology.