Jeyeon Jo is an Assistant Professor in the Department of Textiles, Merchandising and Interiors at the University of Georgia's College of Family and Consumer Sciences. Her research focuses on wearable sensors, assistive technology, and ergonomic design, with an emphasis on sustainable materials and healthcare applications. She holds a Ph.D. in Human Centered Design from Cornell University (2023), an M.S. in Fashion Design (2017), and a B.S. in Clothing and Textiles (2014), both from Seoul National University. **Education:** Ph.D. Human Centered Design, Cornell University (2023) M.S. Fashion Design, Seoul National University (2017) B.S. Clothing and Textiles, Seoul National University (2014) **Research Interests:** Jeyeon develops wearable healthcare solutions using stretchable fiber optics and passive RFID, with a focus on optimizing user comfort and performance. Her work spans assistive technologies, firefighting gear ergonomics, and cross-cultural studies of clothing's sociocultural role. Recent projects include sustainable textile prototyping (LeatherBoard) and gait-monitoring systems (RFInsole). **Awards:** Human Service Studies Graduate Fellowship (Cornell, 2022) Best Brief at ISWC 2021 (2021) Roberta G. & John B. De Vries Graduate Award (Cornell, 2020) **Grants & Advising:** Currently no grants explicitly listed; actively advising students in wearable tech and textile engineering. Editorial roles include Fashion and Textiles (2024–present) and Korean Fashion & Textile Research Journal (2025–2026).
Spyridon Daskalakis is an Assistant Professor at Heriot-Watt University's School of Engineering & Physical Sciences, where he works within the Institute of Sensors, Signals & Systems. His research focuses on next-generation wireless communication systems and ultra-low-power embedded technologies. Dr. Daskalakis earned his Ph.D. from Heriot-Watt University's Microwaves and Antenna Engineering Group following undergraduate and master's studies at the Technical University of Crete's School of Electrical and Computer Engineering. Prior to his academic career, he served as a Senior Electromagnetic Compatibility Engineer at Cirrus Logic and contributed to satellite communications projects at Celestia UK. His research spans ultra-low-power embedded systems , RFID/backscatter sensors , RF energy harvesting , and low-cost wireless agricultural sensors . Current projects emphasize Bluetooth and cellular network integration, software-defined radios, and millimeter-wave communications for sustainable IoT applications that support UN Sustainable Development Goals related to affordable clean energy and responsible consumption. Dr. Daskalakis contributes to the Microwaves and Antenna Engineering Group, a globally recognized research unit specializing in physical-layer wireless systems. His work demonstrates significant impact through high citation rates, particularly in millimeter-wave backscatter communications and ambient RF energy harvesting technologies. He maintains an active professional presence through his personal website www.daskalakispiros.com and LinkedIn, while fostering student development through collaborative research projects focused on real-world wireless communication challenges.
Dr. Shervin Shirmohammadi is a Professor at the University of Ottawa's Faculty of Engineering, specifically within the School of Electrical Engineering and Computer Science. With an impressive h-index of 41 and over 6,800 citations across 473 publications, his research has made significant contributions to the fields of computer vision, biomedical instrumentation, and health monitoring systems. His academic journey spans over two decades, beginning with work on communication architectures for virtual environments in 2001 and evolving toward practical healthcare applications. Dr. Shirmohammadi's research interests center on Computer Vision , Image Processing , and Embedded Systems with a strong focus on healthcare applications including nutrition monitoring, mental health assessment, and driver safety systems. His most influential work examines computer vision applications for health monitoring, particularly food calorie measurement systems that use smartphone cameras to analyze nutritional content. His research has evolved to include EEG-based systems for ADHD detection and serious games for autism therapy, demonstrating a consistent trajectory toward practical healthcare solutions using advanced instrumentation techniques. Dr. Shirmohammadi maintains active collaborations with researchers including A. Yassine (118 joint publications), D. Ahmed, Ali Asghar Nazari Shirehjini, and B. Hariri. His publications appear primarily in IEEE Transactions on Instrumentation and Measurement, reflecting his strong connection to the instrumentation and measurement community.
Prof. Dr. Selcuk Paker is a faculty member at the Department of Electronics and Communication Engineering , Faculty of Electrical and Electronics Engineering , Istanbul Technical University. His research spans electromagnetic field theory, microwave systems, and telecommunications, with a focus on antenna design, radar imaging algorithms, and bioelectromagnetics. Research Interests : Electromagnetic scattering, inverse scattering, radar systems, SAR imaging, GNSS algorithms, microwave heating, and wireless communication. Recent publications highlight his work in 5G antenna design , radar-based earthquake detection , and biological effects of RF exposure . He contributes to microwave and radar technologies, including applications in structural diagnostics and sensor networks.
Jia Di serves as Professor and Department Head of the Department of Electrical Engineering and Computer Science at the University of Arkansas, holding the Rodger S. Kline Endowed Leadership Chair. He has been with the institution since 2004, progressing from Assistant Professor to his current leadership position within the College of Engineering. Education: B.S. in Automatic Control, Tsinghua University (1997) M.S. in Automatic Control, Tsinghua University (2000) Ph.D. in Electrical and Computer Engineering, University of Central Florida (2004) Research Focus: Dr. Di's work centers on asynchronous integrated circuit design and hardware security , with emphasis on Multi-threshold Null Convention Logic (MTNCL) for ultra-low-power secure systems. His research spans hardware Trojan detection, polymorphic logic gates, extreme environment electronics, and security solutions for IoT infrastructure. His Trustable Logic Circuit Design Lab has pioneered techniques for side-channel attack mitigation and cold boot attack prevention through self-destructive memory mechanisms. Publication Trends: Recent publications reveal a strategic shift toward hardware security applications for renewable energy systems and IoT edge devices, while maintaining core expertise in asynchronous circuit design. His work increasingly integrates machine learning (e.g., graph neural networks for hardware Trojan detection) and cross-platform verification frameworks, demonstrating evolution from pure circuit design to holistic cybersecurity solutions for critical infrastructure. Scientific Recognition: Senior Member of IEEE Eminent Member of Tau Beta Pi Elected Member of the National Academy of Inventors Research Leadership: Dr. Di has secured over $23 million in research funding for his Trustable Logic Circuit Design Lab, supporting development of 6 U.S. patents and two authoritative books. His lab collaborates with federal agencies and industry partners on hardware security challenges, with recent grants focusing on photovoltaic system protection and extreme-environment electronics. While specific student names aren't documented here, his extensive publication record indicates significant graduate mentorship in hardware security and asynchronous design. Lab Infrastructure: The Trustable Logic Circuit Design Lab maintains specialized capabilities for testing circuits in extreme environments (high temperature/radiation) and developing polymorphic security mechanisms. Current projects include RF aperture security, hardware-based IoT verification systems, and digital twin implementations for power electronics with integrated trust verification.
Dr. Faisal Mohd-Yasin is a Senior Lecturer in the School of Engineering and Built Environment at Griffith University, specializing in Electrical and Electronic Engineering. He has been with Griffith University since 2010, initially as a Lecturer (2010-2016) and promoted to Senior Lecturer in 2017. He is also a member of the Queensland Quantum and Advanced Technologies Research Institute (QUATRI) since 2025. His research spans microelectronics, MEMS technology, compound semiconductors, and electronic sensors/instrumentation, with particular expertise in silicon carbide-based devices for harsh environments. Dr. Mohd-Yasin holds dual PhD qualifications: a Doctor of Philosophy (Engineering) from Multimedia University, Cyberjaya, Malaysia (2014) and a PhD in Engineering from Ibaraki University, Hitachi, Japan (2009). His educational background provides a strong foundation for his interdisciplinary research that bridges semiconductor physics, sensor technology, and electronic circuit design. His research interests focus on Microelectromechanical systems (MEMS), compound semiconductors (particularly $$ ext{SiC}$$), electronic sensors, and electronic instrumentation. He has made significant contributions to the development of silicon carbide MEMS devices for harsh environments, piezoelectric energy harvesters, and noise analysis in microelectronic systems. His work has important applications in sustainable cities (SDG 11), health and well-being (SDG 3), and clean energy (SDG 7). Analysis of his recent publications reveals a strong trend toward MEMS sensor technology, particularly silicon carbide-based devices for harsh environments, and noise analysis in piezoelectric sensors. His research also demonstrates a growing interest in engineering education, with several publications on practical electronics teaching methods. The publications span electrical engineering, sensor technology, energy harvesting, and engineering education, reflecting his interdisciplinary approach to research and teaching. Dr. Mohd-Yasin has successfully supervised multiple doctoral and masters students through completion, including Utkarsh Jadli (PhD on Parasitic Capacitances of Power Transistors), Siti Aisyah Zawawi (PhD on MEMS capacitive microphone), Mei Kum Khaw (PhD on magnetically actuated droplets), Abid Iqbal (PhD on AlN thin films), Noraini Marsi (PhD on MEMS pressure sensors), and Kai Meng Mui (Masters on Power management IC). He has also secured numerous research grants totaling over $1.5 million from various sources including Griffith University, Innovative Manufacturing CRC, IRU, and Malaysian research councils. He is actively involved in professional service as a peer reviewer for the IEEE Sensors Conference series (2015-2025), Micro and Nano Engineering Conference series (2009-2018), and the International Conference on Solid-State Sensors, Actuators and Microsystems (2018-2019). He is also a member of IEEE (Institute of Electrical and Electronics Engineers) since 1997. Dr. Mohd-Yasin's research is primarily conducted through the Queensland Quantum and Advanced Technologies Research Institute (QUATRI), where he collaborates with researchers working on advanced semiconductor technologies and quantum applications. His laboratory work focuses on MEMS fabrication, sensor characterization, and circuit design for harsh environment applications.
Amitabh Mishra is an Adjunct Professor at the University of Delaware. His research focuses on three core areas: computer-communication networks (wireless architectures, cross-layer design, mobile cloud computing), network performance analysis (stochastic models, numerical optimizations), and network security (vulnerability assessments, authentication protocols). He has contributed to interdisciplinary fields including IoT security, smart healthcare frameworks, and socio-technical systems analysis. His work spans technical domains like wireless sensor networks, tactical network management, and quantum dot material studies, alongside applied research in tourism economics, healthcare data analytics, and educational technology. Notable contributions include frameworks for energy-efficient physiological monitoring, secure IoT configurations, and machine learning-driven security protocols. Recent research highlights include: Developing secure mobile cloud computing paradigms Modeling Multipath TCP capacity bounds using stochastic theory Investigating AI applications for deepfake ethics and tourism marketing His publications span technical journals in computer networks, medical IoT systems, and interdisciplinary studies in cultural tourism and climate change resilience.
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.
Konstantinos Markantonakis is a Professor of Information Security in the Department of Information Security at Royal Holloway, University of London, where he also serves as Director of the Smart Card and IoT Security Centre and the Transformative Digital Technologies, Security and Society Catalyst. He is a leading figure in embedded systems and IoT security, with extensive research and consultancy experience. BSc (Hons) in Computer Science, Lancaster University, 1995 MSc in Information Security, Royal Holloway, 1996 PhD in Smart Card Security, Royal Holloway, 2000 MBA in International Management, Royal Holloway, 2005 His research focuses on securing embedded and cyber-physical systems, including smart cards, mobile devices, drones, automotive systems, and IoT. He investigates trusted execution environments, side-channel analysis, secure protocols, and hardware-software binding. His work bridges theoretical security and practical implementation, often uncovering zero-day vulnerabilities in consumer devices. The recent publications highlight a strong trend in trusted computing, remote attestation, secure embedded systems, and privacy-preserving technologies. His research integrates blockchain for secure energy trading, develops frameworks for edge machine learning, and advances forensic techniques for damaged storage media. He also explores covert channels in mobile and cloud environments, demonstrating a deep understanding of both offensive and defensive security. Best Paper Award Markantonakis has led major research projects such as EXFILES (forensic extraction from encrypted smartphones), Future TPM (quantum-resistant trusted modules), and the Academic Centre of Excellence in Cyber Security Research. He has supervised numerous PhD students and delivered keynotes at international conferences. His consultancy work has impacted financial institutions, transport operators, and mobile platform security. He leads the Smart Card and IoT Security Centre, a research hub focusing on practical security for connected devices. The centre conducts cutting-edge research in side-channel attacks, secure application execution, and forensic analysis, contributing significantly to both academic and industrial advancements in cybersecurity.
George N. Karystinos is currently a Professor and Dean of the School of Electrical and Computer Engineering at the Technical University of Crete , Greece. He joined TUC in 2005 and was promoted to full Professor in 2019. His academic journey began with a Ph.D. in Electrical Engineering from SUNY Buffalo (2003) and a Diploma in Computer Engineering and Science from the University of Patras (1997). Specialty: Communication theory, coding theory, adaptive signal processing Key research areas: Wireless communications, signal waveform design, L1-norm principal component analysis Leadership: Dean of School of ECE (2021–present) His work focuses on noncoherent detection for RFID/IoT systems and L1-norm PCA for robust signal processing. Recent publications explore power line communication and low-complexity sequence detection . Scientific Awards: 2003 IEEE Transactions on Neural Networks Outstanding Paper Award 2001 IEEE ICT Best Paper Award 2018 IEEE MOCAST Best Student Paper Award 2015 IEEE ICASSP Best Student Paper Award 2013 IEEE ISWCS Best Paper Award 2011 IEEE RFID-TA Second Best Student Paper Award He is affiliated with the Telecommunications Laboratory at TUC and has supervised award-winning research in wireless systems and signal processing.
Matthew Chappell is a Professor and Director at the Virginia Tech Tidewater Agricultural Research and Extension Center (TAREC), affiliated with the School of Plant and Environmental Sciences. Previously, he held faculty positions as Assistant, Associate, and full Professor & Extension Specialist in the Department of Horticulture at the University of Georgia, where he conducted research and extension work on ornamental nursery crops and plant breeding. His research interests include Plant Breeding & Genetics , Specialty Crop Production Systems , Controlled Environment Agriculture , Integrated Pest Management (IPM) , and Inventory Management using sUAS platforms . His work emphasizes the development of superior plant varieties, optimization of production systems, and adoption of innovative technologies such as sensor-based irrigation and drone-assisted inventory. The most recent publications reflect a strong trend in precision horticulture, focusing on automated irrigation systems, responses to saline irrigation, plant propagation protocols, and the integration of RFID and drone technologies for nursery inventory. These works span disciplines in agricultural engineering, plant physiology, and sustainable production. Honors and awards include multiple recognitions from the American Society for Horticultural Science and the Southern Region for outstanding extension education materials, particularly in IPM and irrigation management. He also received the UGA Horticulture Professor of the Year award and Career Advocate Recognition from the UGA Career Center. 2015 Southern Region of the Am. Soc. for Horticultural Sci. Extension Communications Award 2015, 2017, 2018 ASHS Outstanding Education Materials Award 2017 Southern Region Blue Ribbon Extension Publication Award (twice) 2017-18 UGA Horticulture Professor of the Year 2019, 2020 UGA Career Center Career Advocate Recognition Dr. Chappell has led and contributed to numerous extension programs, including the Southern Nursery IPM Working Group, and has advised students in plant propagation, breeding, and sustainable horticulture. His work is supported by collaborative grants and institutional funding focused on improving economic and environmental outcomes in specialty crop production. He has been instrumental in developing experiential learning workshops and mobile applications like IPMPro to enhance grower adoption of best practices. He leads research and extension initiatives at TAREC, working with interdisciplinary teams to advance technologies in plant inventory, irrigation efficiency, and disease management. His lab integrates field trials, controlled environment studies, and digital agriculture tools to support the nursery and ornamental industry.
Ali M. Niknejad is the Donald O. Pederson Distinguished Professor in the Department of Electrical Engineering and Computer Sciences (EECS) at UC Berkeley. He serves as Faculty Co-Director of the Berkeley Wireless Research Center (BWRC), Associate Director of the Center for Ubiquitous Connectivity (CUbiC), and former Associate Director of ComSenTer. His research spans wireless and broadband communications, biomedical imaging, integrated circuit design, device physics, and applied electromagnetics. Education : Ph.D. (2000), M.S. (1997) in Electrical Engineering from UC Berkeley; B.S. (1994) in Electrical Engineering from UCLA. Dr. Niknejad’s work focuses on mm-Wave/RF circuits, inductive power transfer, RFID systems, and digital beamforming arrays. He has pioneered advancements in 5G+ technologies, THz communication, and low-power biomedical sensors. Scientific Awards : 2024 IEEE SSCS Innovative Education Award, 2020 SRC/SIA University Research Award, 2017 IEEE CASS Darlington Best Paper Award, 2012 IEEE Fellow, and 2012 ASEE Frederick Emmons Terman Award.
Stephan Kessler is a researcher at the Technical University of Munich , affiliated with the Department of Mechanical Engineering and the Chair of Conveying Technology, Material Handling, and Logistics . His work focuses on construction logistics, digital twins, and IoT integration in building processes. Contact: stephan.kessler@tum.de Key research areas: Digital Twin, BIM, DEM simulations, IoT in construction Collaborates with Prof. Johannes Fottner on construction automation projects His research emphasizes digitalization of construction processes through technologies like RFID, machine learning, and simulation tools. Recent publications address tower crane planning, co-robot integration, and bulk material handling standards. Article trends show consistent focus on construction automation (IoT, digital twins, BIM), material flow optimization (DEM simulations, screw conveyor standards), and equipment lifecycle management (telematics, RFID identification). Kessler contributes to industry-university collaborations through projects like BauFlott (fleet management systems) and TEP (Tower Crane Deployment Planner). His work bridges theoretical research with practical implementations in construction site logistics.
Prof. Dr. Andreas Besse is a faculty member at the Department of Mechanical Engineering Bocholt (FB 6) at Westfälische Hochschule. His academic focus spans production logistics, supply chain management, and data-driven logistics optimization using AI. Research Areas: Supply chain management, production logistics, lean operations, RFID/sensor technologies Teaching: International supply chain management, ERP systems, production organization logistics Memberships: Bundesvereinigung Logistik (BVL) His work emphasizes automation/production, performance improvement in manufacturing processes, and integrating IT into logistics systems.
Haijian Sun is an Assistant Professor at the University of Georgia's School of Electrical & Computer Engineering. His research focuses on advanced wireless communication systems, including 5G/6G networks, federated learning, mobile edge computing, and physical layer security. He explores cutting-edge topics like reconfigurable intelligent surfaces (RIS), hybrid active-passive symbiotic radio systems, and UAV-enabled communication. His work integrates machine learning and optimization techniques to address challenges in channel modeling, energy efficiency, and network security. Recent projects include autonomous agricultural monitoring via drones and energy-harvesting sensors, as well as secure IRS-VLC communication strategies. Publications highlight innovations in dynamic wireless charging for electric vehicles, graph-based phishing detection, and radio radiance field modeling. While no specific awards are listed, his contributions reflect significant engagement with industry-relevant 6G research. Research collaborations involve digital twin networks, IoT systems, and smart grid applications. His team develops practical solutions for real-world communication challenges, emphasizing both theoretical rigor and deployable technologies.
