Prem Prakash Jayaraman is Professor and Director of the Factory of the Future and Digital Innovation Lab at Swinburne University, leading digital transformation initiatives for manufacturing and smart cities. His research develops IoT architectures for industrial applications with over $7.5M in external funding. Key projects include the Advanced Manufacturing Industry 4.0 Hub providing SME digital readiness assessments, 5G-enabled smart city solutions for road maintenance, and industrial IoT systems for quality control. His research spans edge computing, digital twins, and cyber-physical systems with applications in food processing, logistics, and healthcare. Professor Jayaraman has published extensively on IoT middleware, sensor sharing marketplaces, and quality-aware autonomous systems. He leads Swinburne's strategic partnerships in Industry 4.0 and contributes to national initiatives through ARC-funded research hubs on digital manufacturing.
Dr. Yi Chu is a Research Fellow in the Department of Electronic Engineering at the University of York. He holds a BSc from China Agriculture University (2008) and a PhD from the University of York (2010). His research focuses on Communication Technologies, specializing in Wireless Sensor Networks, Reinforcement Learning, and 5G/Cell-Free MIMO systems. He is actively involved in EPSRC projects like NetCodMod5G and leads collaborative initiatives in aerial neutral host networks and quantum key distribution. Education: BSc, China Agriculture University (2008) MSc & PhD, University of York (2010) Research Interests: Wireless Sensor Networks Reinforcement Learning Applications 5G/6G Network Technologies Cell-Free MIMO Architectures Quantum Key Distribution Recent Work: Developed O-RAN-based testbeds for cell-free MIMO systems Advanced channel estimation using graph neural networks Investigated power consumption in Open RAN digital twins Grants & Projects: EPSRC REACH: Distributed Beamforming Antenna Testbed RIC Enabled (CF-)mMIMO for HDD (2023-2025) KTP with AEMT Ltd (2022-2024) Labs/Teams: Part of the EPSRC-funded NetCodMod5G project team Collaborates with industry partners on aerial telecom infrastructure
Zhao Huang is a Lecturer in the Department of Computer and Information Sciences at Northumbria University, U.K. He holds a PhD in Computer Science from Queen Mary University of London. His research focuses on robotics, human localization, IoT, and behavior sensing with applications in sensor networks and real-time systems. Education: PhD in Computer Science, Queen Mary University of London, U.K. Research Interests: Robotics, Human Localization and Navigation, IoT-enabled sensing systems, fall detection, Bayesian learning, and augmented reality applications. His work emphasizes practical implementations in healthcare monitoring and indoor positioning. Articles Trends: Recent publications address real-time localization optimization, fall detection via UWB signals, and camera pose estimation techniques. Themes include sensor integration, machine learning algorithms, and AR-human interaction systems. Advising & Grants: Currently accepting PhD students. Active in collaborative research projects involving multi-university teams in the U.K. and China. Labs/Teams: Engaged in cross-disciplinary projects combining IoT, robotics, and healthcare technologies through Northumbria's research networks.
Dr. Okan Caglayan is an Associate Professor in the Department of Engineering, Computing, and Cybersecurity (ECCS) at the University of the Incarnate Word (UIW) . He holds a Ph.D. in Electrical Engineering from the University of Texas at San Antonio (UTSA), with prior experience as an engineering consultant at Southwest Research Institute (SwRI) and a lecturer at UTSA's Department of Physics and Astronomy. Education: Ph.D. in Electrical Engineering, UTSA, 2008 M.S. in Electrical Engineering, UTSA, 2005 B.S. in Electrical Engineering, UTSA, 2002 Research Interests: Dr. Caglayan focuses on digital signal processing (DSP) , IoT networks , embedded systems , and machine learning applications . His work includes developing smart sensor systems, biomedical sensors, and sustainable power management techniques. Key areas include TinyML, sensor fusion, wireless sensor networks, and energy-efficient designs. Advising & Grants: He has secured funding from CPS Energy, SwRI, and Mission Solar Energy. Notable projects include the "Project Volta" senior capstone for LiPo battery management and "Project Asclepius" integrating SEM and MATLAB for medical device analysis. He also leads educational initiatives like the Summer Engineering Academy and Girls in Engineering (GEMS) Camp . Labs/Teams: His research involves collaborations with industry partners and interdisciplinary teams, focusing on real-time implementations of DSP algorithms and IoT-enabled systems.
Chet Udell is an Assistant Professor in the Department of Biological and Ecological Engineering at Oregon State University. His work focuses on developing open-source, low-cost environmental sensing systems for ecological and agricultural applications. He leads the OPEnS Lab, which emphasizes collaborative, community-driven instrumentation design. Research Interests include wireless sensor networks, swarm sensing, and integrating music composition principles with engineering. Notable projects include the WeatherChimes IoT station, SitkaNet landslide monitoring systems, and the Pied Piper insect detection device. Udell’s innovations often bridge hardware design with real-world environmental challenges. Publications emphasize open-source solutions for ecological monitoring, including sensor networks, robotics, and data sonification. His work frequently addresses cost barriers in environmental science, enabling broader access to advanced tools. Awards: Best Performance Award, GA Tech New Musical Instrument Competition (2017) Labs/Teams: OPEnS Lab (Openly Published Environmental Sensing) Media: Featured in articles on pest monitoring, spiderharp musical instruments, and landslide detection systems.
Andrew Scott is a Senior Lecturer in the School of Computing and Communications at Lancaster University, where he has been a member since the late 1980s. He initially worked in the Distributed Multimedia Research Group and established Lancaster's IPv6 group in 1997, which evolved into the Mobile IPv6 Systems Research Laboratory. His foundational work includes developing the university's web presence and regional wireless network (Cleo). His research spans operating systems, systems architecture, network testbeds, and protocols for mobile/ad-hoc systems, with specialization in embedded systems including mobile devices, sensor networks, and tele-health. Current projects focus on large-scale testbed deployments through EU initiatives like Intersection and ANA, alongside UK Level-0 networks. Recent publications demonstrate cross-disciplinary applications of his networking expertise, particularly in energy informatics for renewable systems integration. Andrew Scott's contributions have been recognized with significant awards: Microsoft Windows Embedded Academic Excellence Award (presented by Bill Gates) Lancaster University Prize for Commercialisation Microsoft MVP designation He leads major research initiatives including the EU Intersection project, EU ANA project on autonomic networking, GpENI, UK Level-0 networks, REPLICATE (2023-2024), and the Enable Ancillary Services project (2018-2021), while serving as evaluator for EU IST and UK EPSRC programs. Scott directs the Mobile IPv6 Systems Research Laboratory centered around industrial-scale network testbeds and continues to advance wireless infrastructure through Cleo network evolution.
Helen Korving is a Visiting Fellow at Vrije Universiteit Amsterdam's Faculty of Behavioural and Movement Sciences, affiliated with the Teacher Academy. Her research focuses on developing technology-based solutions for pain assessment and management in individuals with severe intellectual and motor disabilities. She specializes in integrating machine learning, mobile applications, and physiological sensors to improve healthcare outcomes for vulnerable populations. Education: PhD in 2025 (Vrije Universiteit Amsterdam), titled 'The SID Pain App: Design, development and testing of a pain measurement application.' Her research interests include pain signaling systems, caregiver-co-designed technologies, and physiological monitoring through wearable devices. She collaborates with experts in AI, biomedical engineering, and clinical care to bridge the gap between technological innovation and practical healthcare needs. Notable projects include the development of AI-enabled pain monitoring systems using skin conductance sensors embedded in socks and mobile applications for pain signaling. These systems aim to provide objective pain measurement tools for non-verbal patients. Grants/Projects: Participated in a 2018-2023 project on 'Social Relations and ICT: Enhancing...' as a researcher. She has delivered lectures on pain measurement methodologies, caregiver training, and the intersection of technology and disability care. Her work emphasizes ethical design and user-centric approaches in healthcare technology.
Claas Willem Visser is an Assistant Professor in the Faculty of Mechanical Engineering at the University of Twente, where his research focuses on developing multi-scale functional materials using fluid droplets and bubbles as building blocks. His work enables the optimization of mechanical, acoustic, electrical, and biological properties for diverse applications, particularly in sustainable technologies. His research interests span fluid mechanics , additive manufacturing , microfluidics , and functional materials . He is particularly known for co-developing In-air microfluidics , a novel technique for particle and 3D printing that has been commercialized through IamFluidics, a spinoff company where he serves as co-founder and Chief Scientific Officer. His lab also works on CO₂ capture materials, conductive foams, and droplet-based bioprinting. Recent publications show a strong trend in environmental materials , particularly using hydrogel particles for carbon capture, and advanced manufacturing of functional foams and sensors. His work integrates fluid dynamics with materials science to enable scalable, sustainable solutions. Rubicon Post-Doctoral Fellowship Visser has supervised several research projects and advised students, contributing to both academic and industrial advancements. His lab collaborates widely, with research supported by national and international projects. He has contributed to over 50 research outputs, including high-impact journal articles and conference proceedings. His research is conducted within interdisciplinary teams focusing on fluid dynamics, materials innovation, and sustainability. The lab leverages advanced imaging, microfluidic systems, and additive manufacturing tools to develop next-generation functional materials.
Cal Coopmans is a Research Assistant Professor in the Department of Electrical and Computer Engineering at Utah State University, where he also serves as Director of AggieAir, a leading unmanned aerial systems (UAS) research program. His work bridges aerospace engineering, cyber-physical systems, and environmental science, with a focus on applying drone technology to agricultural and ecological monitoring. Dr. Coopmans earned his PhD in Electrical Engineering from Utah State University in 2014, with a dissertation on cyber-physical systems enabled by UAS-based personal remote sensing. He also holds an MS in Electrical Engineering from USU (2010) and a BS in Computer Engineering from Montana State University (2004), with minors in Mathematics and Computer Science. His research interests include uncrewed systems, aerial remote sensing, image processing, lidar, mechatronics, and autonomous control systems. He teaches graduate courses in Electrical Engineering, particularly special topics in uncrewed systems and robotics. The recent publications of Dr. Coopmans reflect a strong trend in using small UAS (sUAS) for high-resolution environmental monitoring, particularly in agriculture. His work frequently involves thermal and multispectral imaging, machine learning, and energy balance modeling (e.g., TSEB) to estimate evapotranspiration, leaf area index, and water stress in crops like vineyards and turfgrass. He also contributes to UAS system design, including the development of the GreatBlue VTOL fixed-wing drone. Dr. Coopmans has mentored several graduate students in the Electrical & Computer Engineering program, including Richard Michael Snider, Sadikul Alim Toki, Mitchell Lee Bailey, and Stockton Gerald Slack. While no formal scientific awards are listed in the provided text, his extensive peer-reviewed publications and leadership in AggieAir indicate significant scholarly impact. He is actively involved in interdisciplinary research, collaborating with experts in hydrology, agriculture, and environmental science. His lab, AggieAir, functions as a hub for UAS-based data collection and analysis, supporting projects in irrigation management, ecosystem monitoring, and precision agriculture.
Dr. Ece Yaprak is a Professor and Chair of the Engineering Technology Division in the College of Engineering at Wayne State University. She earned her BS in Electrical Engineering from the University of Michigan–Dearborn (1980) and MS/PhD in Computer Engineering from Wayne State University (1984/1989). With industry experience at General Electric and Ford Motor Company, her research spans computer networks , wireless communications , and wireless sensor networks , funded by NSF , DOE , NASA , and the U.S. Navy. Research Fellowships : NASA (Glenn, JPL, Ames, Johnson Space Center), Fulbright-Nokia (Finland), U.S. Navy SPAWAR. Leadership Roles : ABET Board of Directors (2023–2026), NSF Program Director (2015–2017). Awards : IEEE Fellow (2025), multiple Excellence in Teaching Awards (2005–2014). Her recent publications focus on wireless network security , telemedicine systems , and engineering education innovations. She co-developed multi-institutional projects with Old Dominion University and NASA, and continues teaching Senior Design Project courses.
Fariba Moghaddam is an Ordinary Professor at HES-SO Valais-Wallis - Haute Ecole d'Ingénierie, leading the Power & Control orientation under the Institut Systèmes industriels. She specializes in renewable energy systems, control engineering, and educational technology, with a focus on solar energy optimization, remote laboratories, and sustainable development initiatives in the Global South. Her work spans academic leadership, research, and pedagogical innovation. Education: PhD in Control Engineering from École Polytechnique Fédérale de Lausanne (EPFL), 1996. Additional academic background in electrical and mechanical engineering. Research Interests: Solar tracking systems, photovoltaic-thermal (PVT) integration, machine learning applications in energy systems, remote experimentation platforms, and collaborative educational infrastructure. Recent projects include the Solar Energy Optimization via Remote Platforms and DEAR MENA (Digital Education & Research for MENA). Grants & Projects: Solar Energy Optimization (2022-2026): Swiss National Science Foundation-funded project developing cost-effective sun tracking solutions. DEAR MENA (2019-2024): Cluster fostering digital education partnerships between Swiss and MENA institutions. Sustainable Laboratories (2020-2021): Platform for redistributing lab equipment to emerging economies. MOOLs (2018-2021): Massive Open Online Laboratories for global engineering education. Labs & Infrastructure: Spearheaded the Remote Real-Time Research Platform for control engineering, enabling global access to lab equipment via secure web interfaces. Collaborates on IoT-integrated systems for remote experimentation and industrial automation. Awards: None explicitly listed, but recognized for contributions to sustainable energy and educational equity through numerous funded projects.
Nabil Ouerhani is a Professor in Computer Science at Haute Ecole Arc // HES-SO, leading the 'Interaction Technologies' research group focused on Human-Machine Interaction (HMI), Human-Robot Interaction (HRI), and Industry 4.0 applications. His work integrates IoT, cyber-physical systems, and multi-agent systems to develop innovative industrial solutions. Education: BSc HES-SO in Computer Science - Haute Ecole Arc - Ingénierie Key Research Areas: Collaborative robotics and AI-driven automation Thermal error prediction in machine tools IoT-enabled energy efficiency solutions Virtual/Augmented Reality for industrial safety Recent Projects: BonsAPPs (EU H2020): AI-as-a-Service platform for Deep Edge applications Decolleteur 4.0 (Innosuisse): AI-based Swiss-Type lathe programming system TherMoMac : Hybrid thermal error prediction for machine tools Grants & Funding: BonsAPPs: CHF 5,750,000 (EU H2020) Decolleteur 4.0: CHF 1,217,809 (Innosuisse) ECOMAC25: CHF 439,062 (Innosuisse) Research Collaborations: Industry partners: Tornos SA, NVISO SA, ST Microelectronics Academic partners: University of Bologna, ETH Zurich, SUPSI
Deborah Estrin is a Professor of Computer Science at Cornell Tech (Cornell University), holding the Robert V. Tishman Founder's Chair and serving as Associate Dean for Impact. She is also an Affiliate Faculty at Weill Cornell Medicine. Her research focuses on digitally-enabled innovations in healthcare, particularly optimizing clinical outcomes and patient quality of life. Estrin founded the Public Interest Technology Initiative (PiTech) to integrate societal impact into education and careers. Previously, she directed the NSF-funded Center for Embedded Networked Sensing (CENS) at UCLA, pioneering mobile/wireless sensing systems. She co-founded Open mHealth, advises early-stage health startups, and collaborates with institutions like NY Presbyterian and MacArthur Foundation. Her awards include the IEEE John von Neumann Medal (2022), MacArthur Fellowship (2018), and memberships in the National Academies of Engineering (2009) and Medicine (2019). Collaborators include experts in healthcare technology, sensing systems, and aging research. Estrin’s grants span NSF, MacArthur Foundation, and Siegel Family Endowment. She advises over 50 PhD students and leads initiatives in mHealth, telemedicine, and aging-in-place technologies. Research interests include AI-driven diagnostics, mobile health applications, and ethical data use. Notable projects include Limbr (chronic pain app) and v-RFA (voice-based geriatric assessment). Her work bridges technical innovation with societal needs, emphasizing accessibility and equity in healthcare technology.
Dr. Ali Mohammadi is a Senior Lecturer in the Department of Electronic & Electrical Engineering within the Faculty of Engineering & Design at the University of Bath. He leads innovative research in Micro-electromechanical Systems (MEMS) and serves as an Associate Editor for IEEE Sensors. His work is supported by multiple EPSRC-funded research projects with strong industry collaboration, totaling over £1.5 million across five projects. Dr. Mohammadi is embedded within several key research units: Electronics Materials, Circuits & Systems Research Unit (EMaCS), The Foundry: Centre for Digital, Manufacturing & Design, Centre for Bioengineering & Biomedical Technologies (CBio), and the Bath Institute for the Augmented Human. Dr. Mohammadi's academic background includes postdoctoral research at the Department of Engineering Science, University of Oxford (2016-2017) and the Department of Electrical and Computer Systems Engineering, Monash University, Australia (2014-2016). This foundation has enabled his interdisciplinary approach to micro/nano-electromechanical systems and electronic circuit design. His research program addresses fundamental challenges in micro/nano-electromechanical transducers and electronic interface circuits, with specific innovations in on-chip atomic force microscopy, implantable energy harvesters, and high precision coupled resonator sensors. These contributions span multiple UN Sustainable Development Goals, particularly advancing clean energy technologies and healthcare solutions. Dr. Mohammadi's work uniquely bridges electrical engineering, mechanical systems, and materials science to develop next-generation sensing and energy harvesting technologies with real-world applications. Analysis of his 48 research outputs reveals a clear trajectory from fundamental MEMS device development toward integrated sensor systems with practical applications. His most recent publications (2023-2025) demonstrate increasing integration of machine learning with precision sensing technologies, particularly for manufacturing condition monitoring and biomedical applications. The research shows progression from individual components to complete systems, with growing emphasis on real-time data processing at the sensor edge and human-machine interfaces. Dr. Mohammadi's professional standing includes: Member of the Institute of Electrical and Electronics Engineers (IEEE) Associate Editor of IEEE Sensors Journal As a doctoral supervisor, Dr. Mohammadi actively mentors students in Microelectromechanical Systems and Electronic Integrated Circuits. His research portfolio includes two active EPSRC projects: 'Transforming the use of Ansys simulation software within engineering curricula' and 'SENSYCUT- Sensor Enabled Systems for Precision Cutting,' demonstrating strong industry-academic collaboration. These projects focus on practical engineering solutions for manufacturing optimization, condition monitoring, and human-computer interaction, with direct applications in industrial settings. Dr. Mohammadi's research ecosystem spans multiple interdisciplinary centers at Bath. Within EMaCS, he advances fundamental electronic materials and circuit design. Through The Foundry, he contributes to digital manufacturing innovation. His CBio affiliation enables medical applications of his sensor technologies, while the Bath Institute for the Augmented Human provides context for human-centered applications of his tactile display research. This multi-faceted institutional integration allows his work to progress from laboratory prototypes to real-world implementations across healthcare, manufacturing, and human augmentation domains.
BOGDANFFY Lorand is a Professor and Head of the Department of Automation, Computers, Electrical and Power Engineering at the Faculty of Mechanical and Electrical Engineering, UPET.RO. He holds a PhD and specializes in IoT systems, control engineering, renewable energy, and e-learning technologies. His research integrates simulation, modeling, and sensor networks into practical applications like smart urban management, solar tracking systems, and underground mining safety. His work spans interdisciplinary areas such as: IoT-enabled environmental monitoring for sustainable cities Computational methods in mining safety and risk analysis Development of e-learning platforms and educational software Advanced motor control systems and sensorless vector control His recent publications highlight trends in: Smart infrastructure and energy optimization Data-driven decision-making in insurance and risk management 360° imaging systems and mobile teleoperation No scientific awards are listed in the provided texts. His advising and grants focus on engineering education and industrial automation projects. He leads teams in developing control systems and renewable energy solutions.
