Tim Dallas is an Associate Dean of the Graduate School and Professor of Electrical and Computer Engineering at Texas Tech University's Whitacre College of Engineering. His roles include overseeing graduate fellowship programs and developing innovative MEMS-based educational tools. Dr. Dallas is renowned for co-creating the Solar-Powered Digital Classroom-in-a-Box, deployed in off-the-grid African regions using pico projectors. Co-founded Class on a Chip, Inc. (2008) for commercializing micro-experimental devices Established the Technology Start-up Lab (2014) in partnership with business classes Principal Investigator for NSF-REU, CCLI, and S-STEM grants His research spans renewable energy systems, biometric authentication, and interdisciplinary learning. Dr. Dallas has secured funding from Keck and Welch Foundations for MEMS-based education technologies and served as Associate Editor for IEEE Transactions on Education. He is a Senior Member of IEEE and affiliated with ASEE and SPIE.
Carlo Alberto Avizzano serves as Associate Professor in Robotics and Automation at the University of Pisa's School of Engineering, Department of Information Engineering. He coordinates the Department of Excellence in Robotics & Artificial Intelligence (MUR) and leads the Intelligent Automation System Research Group. Research spans robotics, human-robot interaction, computer vision, and control systems Specializes in creating intelligent automation systems with cognitive capabilities Integrates AI, machine learning, and mechatronics for robust autonomous systems His research focuses on developing robots that learn from human examples, adapt to changing environments, and interact through advanced perception systems. Current work emphasizes wearable robotics, UAVs, and industrial automation solutions with applications in medical rehabilitation, firefighting, and manufacturing. He employs distributed computing architectures integrating sensors, real-time control, and knowledge transfer algorithms. Publications reveal strong emphasis on practical implementations: 15 recent works cover exoskeleton design (2024), UAV firefighting systems (2024), industrial bin-picking datasets (2024), and haptic interfaces (2012-2023). Key trends show progression from virtual reality systems (2006-2008) toward modern AI-integrated robotics with industrial and medical applications. Teaching responsibilities include PhD courses in Sensors for Construction, Python Programming for HealthScience, and Digital Perception; plus undergraduate Mechatronics and Computer Vision labs. He serves on PhD boards for Emerging Digital Technologies and Health Science Technology. Extensive patent portfolio including haptic interfaces (2012), sailing simulators (2006), and UAV systems (2024) Research directly translated to commercial products and spin-off companies
Ali Muhtaroglu is an Associate Professor at Oslo Metropolitan University, Faculty of Technology, Art and Design, Department of Mechanical, Electronics and Chemistry. His work focuses on energy-efficient electronics and bio-inspired technologies through the ADEPT research group. Research Interests: Dr. Muhtaroglu specializes in bio-inspired spiking neural networks energy harvesting systems low-power circuit design autonomous IoT devices wearable health monitors quantum dot cellular automata His publications emphasize hardware-software co-design for sustainable microelectronics. Selected Articles (2022-2024): Recent work includes bio-inspired reinforcement learning architectures (2024), AI accelerator design (2022), and self-powered health monitoring systems (2023). Earlier publications (2019-2021) cover cochlear implant interfaces and piezoelectric energy harvesting.
Dr. Susan M. Sereika is a Professor in the Department of Health and Community Systems at the University of Pittsburgh School of Nursing . She holds secondary appointments in the Department of Biostatistics and Health Data Science and the Department of Epidemiology in the School of Public Health, as well as affiliations with the Clinical and Translational Science Institute and UPMC Hillman Cancer Center's Biostatistical Facility. Associate Dean for Computing and Information Technology (School of Nursing) Faculty Statistician (Office of Research Scholarship) Active in Senate Computing & IT Committee (Pitt, 1992-present) Her statistical expertise focuses on: Longitudinal data analysis for intensive monitoring (Aardex MEMS, Fitbit, actigraphy) Latent variable methods (group-based trajectory, dual/multi-trajectory analyses) Dyadic analysis Model assessment She collaborates on weight loss, lifestyle self-management, symptom management, and regimen adherence research. Academic Contributions include: PhD-level courses: Advanced Quantitative Methods Seminar (NUR 3290) Independent study supervision (NUR 3060) Statistical mentorship for honors/masters/doctoral committees Consulting for NIH reviews and journal editorial boards
Dr. James N. Gilmore is an Associate Professor of Media and Technology Studies and Graduate Coordinator in the Department of Communication at Clemson University's College of Behavioral, Social and Health Sciences. He joined Clemson in 2018 after completing his PhD at Indiana University and has established himself as a leading scholar in media technology studies, with expertise in wearable technologies, datafication, and media infrastructure. Dr. Gilmore's educational background includes: Ph.D. in Communication and Culture from Indiana University (2018) M.A. in Film and Television from University of California, Los Angeles (2013) B.A. in Film and Media Studies from University of South Carolina (2011) His research focuses on the cultural politics of media and communication technologies, particularly how computational technologies convert human behavior to data (datafication). Dr. Gilmore examines how everyday devices like smartwatches, fitness trackers, and body cameras reinforce systems of normalcy, surveillance, and solutionism across health, labor, accessibility, law enforcement, and other domains. His work bridges theoretical frameworks from media studies, cultural studies, and science and technology studies to analyze the social implications of emerging technologies. Dr. Gilmore's publications demonstrate consistent engagement with emerging technologies across multiple domains. His recent work spans wearable technologies, virtual reality, AI platforms like ChatGPT, streaming services, and smart home devices, revealing patterns in how technologies mediate everyday life while raising critical questions about privacy, surveillance, accessibility, and corporate power. His scholarship consistently connects technological developments to broader social, political, and cultural contexts. Dr. Gilmore has received numerous honors and awards for his research and teaching: Top Paper Award, Popular Communication Division, Southern States Communication Association (2024) Outstanding Teaching of the Year (Junior Tenure-Track), College of Behavioral, Social, and Health Sciences (2022-2023) Outstanding research publication award for 'Securing the kids' (2022) Research Faculty Spotlight (Spring 2021) Ray Camp Award for Most Outstanding Research Paper (2018) As Graduate Coordinator, Dr. Gilmore actively mentors students, with numerous co-authored publications featuring graduate and undergraduate researchers. His students have contributed to research on AI adoption, virtual reality, wearable technologies, and platform politics. Dr. Gilmore has secured internal research funding at Clemson University, including recognition through the university's research reporting system. His book projects, including the forthcoming DeGruyter Handbook of Wearable Technologies and Society, represent significant scholarly contributions that bring together international researchers. Dr. Gilmore leads research initiatives focused on wearable technologies and media infrastructure, with his recent book 'Bringers of Order' establishing him as a leading voice in wearable technology studies. He is currently editing a comprehensive handbook that will expand this research area significantly.
Parker Ruth is a PhD student in the Department of Computer Science at Stanford University ’s School of Engineering . He holds dual B.S. degrees in Computer Engineering and Bioengineering from the University of Washington (2021). His research lies at the intersection of ubiquitous computing , mobile health , and wearable sensing , focusing on sensor design and biophysical prior integration into time series algorithms. Parker’s work bridges computer science and biomedical engineering , with applications in neuromuscular disease monitoring , cardiac auscultation , and public health surveillance . NSF Graduate Research Fellowship (2021) Tau Beta Pi Fellowship (2021) Barry Goldwater Scholarship (2020) College of Engineering Dean’s Medal for Academic Excellence (2021) His publications highlight wearable health technology , mobile diagnostics , and RNA biosurveillance in public spaces. Parker’s academic trajectory reflects a commitment to interdisciplinary research and global health innovation .
Brian S.Y. Kim serves as Assistant Professor of Materials Science and Engineering and Physics at the University of Arizona, holding a joint appointment since January 2024. Previously, he conducted postdoctoral research at Columbia University (2018-2023) in Mechanical Engineering and Physics. His laboratory focuses on atomic-scale engineering of quantum materials for next-generation electronic and photonic technologies. His educational background includes: PhD in Electrical Engineering, Stanford University (2018) MS in Electrical Engineering, Stanford University (2013) BS in Electrical Engineering, Northwestern University (2011) Professor Kim's research spans 2D quantum materials and heterostructures , experimental condensed matter physics , and advanced nanofabrication . His group employs robotic nano-manufacturing systems, reconfigurable device architectures, and nano-optical imaging to investigate emergent phenomena in van der Waals materials. Key methodologies include plasmonic cavity engineering, moiré superlattice fabrication, and atomic-scale device characterization. His publication record demonstrates consistent contributions to quantum materials science, with recent emphasis on plasmon-exciton interactions in layered antiferromagnets, novel FET architectures using 2D transition metal dichalcogenides, and thermal transport phenomena in nanostructured materials. The work bridges fundamental condensed matter physics with practical device applications. His scientific recognition includes: Outstanding Young Researcher Award (2024) from AKPA/KPS APL Photonics Early Career Editorial Advisory Board membership (2025-26) Research funding includes the Vertically Integrated Projects Catalyst Seed Fund Award (2024) for "twisting two-dimensional atomic sheets." The Kim Lab actively mentors undergraduate researchers like David Tashchyan and collaborates with institutions including Kyung Hee University and Sungkyunkwan University. Current projects focus on developing programmable hyperbolic polaritons and Fermi-level engineered 2D electrodes. The Brian SY Kim Lab operates within UArizona's Materials Science and Engineering department, utilizing state-of-the-art facilities for nanofabrication and quantum device characterization. Ongoing initiatives explore cavity-altered superconductivity and magnetically confined excitons, with potential applications in quantum computing and ultra-sensitive photodetection.
Xiaoyue Ni is an Assistant Professor at Duke University’s Thomas Lord Department of Mechanical Engineering and Materials Science, with additional appointments in Biostatistics & Bioinformatics and Electrical and Computer Engineering. They lead the Ni Lab, developing human-oriented materials intelligence through soft electronics and digital metamaterials. PhD, California Institute of Technology (2018) Research focuses on flexible electronics , mechanical metamaterials , and machine learning to create dynamic materials that sense and adapt to human physiology. Key innovations include soft wireless sensors , liquid metal actuation , and non-invasive biomarker monitoring . Recent publications (2022–2019) highlight expertise in wearable health technology , mechanical-acoustic interfaces , and programmable materials . Collaborative work spans reconstructive surgery , athlete monitoring , and thermal expansion control .
Christian Rohner is a Professor at the Department of Information Technology at Uppsala University, specializing in the Division of Computer Systems. His research spans over two decades with a clear evolution from early work in opportunistic networking to current cutting-edge research in backscatter communication and physical-layer security. Professor Rohner's research interests focus on wireless communication systems , particularly backscatter communication , sensor networks , and network security . His work on analog backscatter tags has pioneered techniques for channel estimation, reliable flooding protocols, and identification systems for battery-free devices. In wireless security , he has made significant contributions to radiometric fingerprinting, physical-layer authentication, and intrusion detection for IoT systems. His research in information theory applies theoretical frameworks to practical network analysis problems, including modularity computation in probabilistic networks and information decomposition. His recent publications (2020-2025) demonstrate a strong focus on enabling low-power wireless systems, with applications ranging from medical contexts (fat intra-body communication) to temperature sensing with RFID tags. The research shows a clear trajectory toward practical implementations of battery-free sensor networks that can operate without traditional power sources while maintaining security and reliability. Professor Rohner has maintained long-term collaborations, particularly with Thiemo Voigt at Uppsala University, resulting in numerous joint publications across multiple research domains. His work bridges theoretical foundations with practical implementations, making significant contributions to both academic research and potential real-world applications in wireless networking.
Julius Ambros is a researcher at the Chair of Microtechnology and Medical Device Technology at the Technical University of Munich (TUM). He holds advanced degrees in Mechatronics and Robotics, Medical Engineering and Assistive Systems, and Engineering from TUM. His work focuses on medical robotics, surgical devices, and additive manufacturing technologies, with current projects including iMEDCAP (intelligent military capabilities for medical monitoring) and the development of robotic systems for disaster scenarios. Supervised Courses: Automation Technology in Medicine (AIM), Approval of Medical Devices (ZUL), Seminar - Development of Mechatronic Devices (SMG) Current Student Projects: Bachelor's: Modular Rail Systems for Robotic Arms, Novel Mechanisms for Hospital Beds, Robotic End Effectors for Hemorrhage Control Master's: 3D Sensor Systems for Patient Detection Research Focus: Julius Ambros specializes in medical robotics, with expertise in surgical automation, real-time imaging, and wearable technologies. His team explores additive manufacturing for customized medical devices and mechanisms, particularly in disaster response and patient care contexts. Contact: Room 1110, Phone: +49 89 289 15171
Kevin De Pauw is a postdoctoral researcher at the Department of Physiotherapy, Human Physiology and Anatomy at Vrije Universiteit Brussel (VUB). He actively contributes to 12 research projects with a focus on robotics, mental fatigue, brain physiology, and sports physiotherapy. Current projects include Brubotics, APEX, and TBrainBoost Collaboration network spans Belgium, Germany, and Netherlands Key research themes: Mental Fatigue (100%), Robotics (100%), and Prosthetics (52%) Research Interests: His work explores the intersection of brain physiology, fatigue mechanisms, and robotics applications in rehabilitation. He develops predictive musculoskeletal simulations and investigates inter-limb asymmetry in athletes. Article Trends: Recent publications show increasing focus on robot-assisted rehabilitation , brain neuroplasticity , and mental fatigue quantification . Research combines AI-driven wearable robotics with neurophysiological monitoring . Student Supervision: He mentors Master's students in topics related to Lower limb asymmetry analysis Adolescent cognition-fitness relationships Exoskeleton interface design Laboratory Affiliation: Member of Brubotics and TBrainBoost teams at VUB, working on sustainable human-centered robotics and neurocirculation enhancement technologies.
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
Isabel Maria Dias Cabral is a Contracted Researcher at the Centre for Textile Science and Technology (2C2T) at Universidade do Minho, Portugal. She holds a Doctorate in Textile Engineering (2018) and has academic background in Industrial Design (2004) and multiple Masters in Textile and Design fields (2009, 2011). Her research focuses on smart materials applied to textile design, particularly color change materials, shape memory textiles, and sustainable practices. Doctorate in Textile Engineering (2018) Master in Space, Product and Communication Design (2009) Licenciatura in Industrial Design (2004) Her work explores intersections between Humanities (Arts, Architectural Design) and Engineering (Materials, Textiles). Key research areas include smart textiles , interactive materials , and ecological coloration , with a focus on thermochromic , photochromic , and hydrochromic textile systems. Recent publications (2023-2025) demonstrate expertise in natural dyes (eucalyptus, weld, madder), colorimetry in design education , and functionalization of materials for specific applications. She co-supervises PhD and MSc students in projects related to sustainable fashion , smart printed textiles , and ecological coloration . Scientific recognition includes: CEECIND award (2022) Post-Doc grant (2018) FCT PhD grant (2012) Active in project coordination (Bioeconomia Têxtil e Vestuário_BE@T), educational outreach through workshops, and international collaboration with institutions in Sweden, Spain, and Belgium. Her work bridges art , science , and technology in textile innovation.
Alice Haynes is a Digital Futures Postdoctoral Fellow at KTH Royal Institute of Technology, working on the Felt Connections project under the Division of Media Technology and Interaction Design . She collaborates with Prof. Kristina Höök and Associate Prof. Iolanda Leite to create shape-changing textile interfaces that foster meaningful bodily interactions for children and adults. Education PhD in Engineering Mathematics, University of Bristol (2022) Specialization in Soft Robotics and Haptic Interfaces Her research blends soft robotics, e-textiles, and soma design to develop tactile technologies that prioritize bodily engagement over traditional visual/auditory interfaces. Current work explores: first-person design for scoliosis, symmetry-asymmetry dynamics in bodily interactions, and soma-driven methods that emphasize felt experiences. Key article trends include shape-changing textiles (SMA-actuated smocking, machine embroidery), emotional/therapeutic applications (anxiety relief, social touch), and multisensory integration (audio-tactile mappings, biosignal interaction). Scientific Contributions Recipient of Digital Futures Postdoctoral Fellowship Co-design methodologies for child-centered technology Material-driven evaluation frameworks for e-textiles Embodied interaction paradigms through haptic cushions Alice teaches Human-Computer Interaction Research Seminars (DH2632) and Media Technology and Interaction Design (DM2601) , while actively seeking Master's students for collaborative thesis work.
Dr. Kagan Kerman is a Professor in the Department of Physical & Environmental Sciences at the University of Toronto Scarborough. His research focuses on analytical detection of biological events on surfaces, emphasizing nanoparticle-biomolecule conjugates for biosensing. Key techniques include electrochemical (voltammetry) and spectroscopic (localized surface plasmon resonance) methods applied to nucleic acids, cells, and environmental contaminants. His work spans interdisciplinary fields such as surface science, molecular biology, and nanotechnology. Dr. Kerman’s lab is located in EV 506, with his office in EV548. Notable students include Mengying Wu (D90 project on Zidovudine detection) and Zixin Yu (selenate detection research). Recent advancements include wearable biosensors, smartphone-integrated devices, and hydrogel-based anthrax detection platforms. His research addresses critical applications in environmental monitoring, medical diagnostics, and neurodegenerative disease biomarker detection. Laboratory infrastructure supports state-of-the-art electrochemical analysis, microfluidic systems, and nanomaterial synthesis. Current projects emphasize multi-analyte sensing, sustainable nanomaterials, and real-time health monitoring solutions.
