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Gerard de HaanView profile

Professor

• Video Signal Processing
• Remote Photoplethysmography (rPPG)
• Motion Robust Signal Processing
• +4 more

Gerard de Haan is a Professor of Electronic Systems at the Department of Electrical Engineering , Eindhoven University of Technology (TU/e). His research focuses on video signal processing, particularly in multimedia systems and video health monitoring , aiming to enhance image quality and enable accurate sensing of vital signals amidst motion artifacts. He has documented his research in 4 books, 3 book chapters, approximately 200 papers, and over 200 patent applications, leading to commercially available ICs. De Haan has served on program committees of international conferences and as a guest editor for journals including Elsevier, IEEE, and Springer. Education : BSc, MSc, PhD in Electrical Engineering from Delft University of Technology (1977, 1979, 1992) Professional Roles : Lead researcher at Philips Research (1979–present), Full Professor at TU/e (2000–present) His research interests span noise and artifact reduction , video format conversion , display-specific processing , and enabling technologies like motion estimation and object detection . Articles highlight advancements in rPPG motion robustness , blood volume pulse signature analysis , and remote SpO2 monitoring . Scientific awards include his appointment as Fellow at Philips Research Eindhoven in 2000.

• Large Antenna Array-Based Communications
• Wireless Propagation
• Vehicular Communications
• +1 more

Liqin Ding is a Research Fellow at the Department of Electrical Engineering at Chalmers University of Technology . She holds a Marie Skłodowska-Curie Fellowship and is actively involved in EU-funded projects like VoiiComm and Hi-Drive , focusing on vehicular communication systems and cellular positioning integrity. Previously, she was a postdoctoral researcher at Harbin Institute of Technology (Shenzhen) and a visiting researcher at Chalmers before transitioning to her current MSCA-IF position. Research Interests : Her work spans large antenna array-based communication , wireless propagation , vehicular networks , and cellular positioning . Key themes include 5G/6G protocols , channel modeling , and information theory for automated transportation systems. She specializes in Massive MIMO , DFT spreading , and integrity monitoring to enhance network reliability. Scientific Contributions : Recent publications address challenges in PAPR reduction for IoT, 3D antenna array bandwidth , UAV swarm communication , and Bayesian positioning algorithms . Her work bridges theoretical models (e.g., Shannon capacity) with practical applications in automotive connectivity and spaceborne antennas . Awards and Grants : European Union's H2020-MSCA-IF-2019 fellowship for VoiiComm project Funding from the European Commission (EC) for mobility research

• Nanoelectronics
• Biosensors
• Wireless Communications
• +5 more

Professor Stan Skafidas is a leading academic at the University of Melbourne , holding the Professor of Nanoelectronics title in the Department of Electrical and Electronic Engineering under the Faculty of Engineering and Information Technology. He serves as Deputy Dean, Engagement and maintains an honorary professorial fellowship in the Department of Medicine. Education: PhD (University of Melbourne, 1997) Masters (Research) (University of Melbourne) Bachelors Degree (University of Melbourne) Research Interests: Nanoelectronics for biomedical applications Printable electronics and graphene technology Wireless communication systems Medical diagnostics and biosensor development Cognitive technology for dementia care Scientific Achievements: Awards: Fellow of Australian Academy of Technological Sciences and Engineering (ATSE) (2012) Richard Newton Award for Research Excellence (2009) INNOVIC 'Innovation Excellence' (2009) Fellow of Institution of Engineers of Australia (2007) Patents: Adaptive Frequency Hopping (US Patent 7027418) - foundational for Bluetooth robustness High-isolation Transmit/Receive Switch on CMOS (2009) Approach for managing communications channels (multiple patents) Commercialization: Co-founded Bandspeed (acquired by Broadcom) Co-founded Nitero (acquired by AMD) Recent Publications focus on printable electronics (475+ publications), with trends in wearable biosensors, 60GHz wireless systems, and dementia care technology. His 2025 work on nanomaterials for biosensors and 3D printed CMOS circuits demonstrates his interdisciplinary approach.

Tarik GrabaView profile

Lecturer

• Hardware Security
• Embedded Systems Design
• Integrated Circuit Reliability
• +3 more

Tarik Graba is a Lecturer at Télécom Paris and a member of the Secure and Safe Hardware (SSH) research team within the Information Processing and Communication Laboratory (LTCI) department. His work focuses on hardware security, embedded systems, and cryptographic implementation. Education: Not explicitly mentioned Current Affiliations: Télécom Paris (Faculty), LTCI, SSH Team His research explores designing secure and reliable integrated systems , with emphasis on managing complexity, power consumption, and flexibility in embedded environments. He contributes to side-channel analysis , lightweight cryptographic algorithms , and hardware-based security mechanisms . The 15 most recent publications highlight his work in lightweight cryptography , hardware security , and embedded system optimization , particularly focusing on RISC-V extensions , side-channel leakage , TRNG circuits , and secure cryptographic processors . Scientific Awards Academic Palms award, Télécom Paris (2021) Tarik Graba collaborates extensively in hardware security research and has advised multiple projects on physical security countermeasures and embedded cryptographic systems . He works with teams like the SSH Laboratory to develop secure hardware architectures.

• Artificial Intelligence in Healthcare
• Power Electronics
• Digital Control Systems
• +1 more

Anthony Kelly serves as a Postdoctoral Research Fellow in the Department of Electronic and Computer Engineering within the Faculty of Science and Engineering at the University of Limerick, Ireland, with his office located in E2-006. His affiliation spans both engineering and healthcare domains through interdisciplinary research initiatives. His research demonstrates dual expertise in artificial intelligence applications for healthcare and advanced power electronics. In healthcare AI, he develops interpretable mental health models, diabetes management chatbots, and comorbid condition interventions with emphasis on clinician trust and safety evaluation. In power systems, he pioneers digital control techniques for DC-DC converters, FPGA power management, and machine learning-integrated circuit designs. This bifurcated focus reveals a strategic transition from hardware-centric research (2005-2019) toward AI-health convergence (2024-2025). Analysis of his 15 most recent publications shows a pronounced shift toward healthcare AI since 2024, with 80% of current work addressing mental health modeling, diabetes chatbots, and comorbid condition management. Earlier publications (2009-2019) consistently focused on power electronics innovations including current-sharing algorithms, adaptive controllers, and FPGA-based systems, establishing foundational expertise later applied to healthcare technology development.

Matthias KramerView profile

Senior Lecturer

• Environmental Engineering
• Fluid Dynamics
• Hydraulic Structures
• +5 more

Dr Matthias Kramer is a Senior Lecturer at the UNSW Canberra , School of Engineering and Information Technology. He has previously worked at the University of Queensland and the University of Stuttgart. His research focuses on open-channel hydrodynamics with an emphasis on multiphase flows, hydraulic structures, and measurement instrumentation. Education: PhD from University of Stuttgart (2015) on 'Air demand of impulse turbines in counter pressure operation' His research interests include open-channel flow dynamics, multiphase flow analysis, and the development of innovative flow measurement technologies . He has extensively published on topics such as air-water flow properties , turbulent free-surface flows , and plastic pollution transport in fluvial systems. His recent publications demonstrate a focus on environmental engineering , with strong emphasis on fluid dynamics , instrumentation , and hydrological systems . These works include studies on air-water flow measurement , plastic transport modeling , and hydraulic structure design . Dr Kramer has received multiple scientific awards including: UNSW Rector Funded Visiting Fellowship Research Infrastructure Scheme (Combined open-channel/wave flume) Substantial merit-based startup grant (UNSW Canberra) Establishment award (UNSW Canberra) DFG research fellowship on 'Air-water mass transfer at hydraulic structures' He currently supervises PhD candidate Hanwen Cui (joint with Dr Stefan Felder) and Masters student Reilly Cox (UNSW Sydney). Dr Kramer is involved in hydro-environmental research infrastructure at UNSW and serves on the Editorial Panel of ICE Water Management .

• Rapid Prototyping
• Digital Fabrication
• Entrepreneurship
• +7 more

Ian Roy serves as the Executive Director of Design and Innovation and the Robert I. Mallet Senior Lecturer in Engineering at Brandeis University. He holds a faculty appointment in the Engineering department and collaborates with the Senior Leadership team in the Brandeis Library. Roy teaches courses in Business, Engineering, and Anthropology, and leads the Brandeis Design and Innovation department (BDI), which manages multiple maker spaces and provides cutting-edge technology services to support teaching, learning, and research across campus. Education: Brandeis University, B.A. in Philosophy and Economics with a concentration in Film Studies (2005) Roy's research and professional work centers on digital fabrication, rapid prototyping, and the integration of emerging technologies in education and social impact initiatives. His expertise includes 3D printing, laser cutting, CNC milling, 3D scanning, robotics, drone technology, and design thinking. He emphasizes the policy implications of technology deployment and applies these skills to foster entrepreneurship and social innovation, notably through the DeisHacks social impact hackathon. Scientific Awards: No scientific awards were mentioned in the provided text. Roy actively mentors students through multiple channels. He is the staff advisor for Deis3D.org (the Brandeis 3D printing club), the Brandeis Aviation Club, and the Brandeis Prosthesis Club. He co-founded the DeisHacks hackathon and teaches several courses that involve hands-on project development, guiding students in rapid prototyping and entrepreneurship. His teaching spans the Brandeis International Business School, the Engineering department, and the Anthropology department. Roy leads the Brandeis Design and Innovation (BDI) department, which operates the Brandeis MakerLab, Automation Lab, Digital Scholarship Lab, 3D Printer Farm, and the Engineering Classroom. The BDI team provides comprehensive support for CAD/CAM workflows, 3D scanning, data visualization, GIS, XR development, machine learning, robotics prototyping, and drone use (including FAA 107 licensing). BDI's services enable faculty and students to incorporate emerging technologies into their academic and research activities.

Seyed M.R. IravaniView profile

Professor

• Stochastic processes
• Queuing theory
• Game theory
• +7 more

Seyed M.R. Iravani is Professor of Industrial Engineering and Management Sciences at Northwestern University's McCormick School of Engineering, with courtesy appointment at the Kellogg School of Management. His research focuses on applications of stochastic processes, queuing theory, game theory, and social networks to design and control of manufacturing, service operations, healthcare systems, supply chains, and nonprofit systems. His research interests emphasize improving flexibility, coordination, and responsiveness in complex operations systems. Professor Iravani develops mathematical optimization models to analyze optimal system behavior, provide managerial insights, and create practical implementation strategies for real-world operations challenges. His work spans manufacturing systems, healthcare operations, supply chain management, service operations, and nonprofit operations. The analysis of Professor Iravani's publications reveals a consistent focus on operations management challenges across multiple domains. His research employs analytical methods including stochastic processes, game theory, queueing theory, and social networks to address problems in capacity allocation, resource management, supply chain coordination, and service system design. A notable trend is his increasing focus on healthcare operations and nonprofit systems in recent years, while maintaining strong contributions to fundamental operations management theory. Professor Iravani has served on editorial boards of leading journals including Operations Research, Management Science, Service Science, IIE Transactions, and Naval Research Logistics. He has collaborated with organizations such as GM, Ford, Motorola, GE, Northwestern Memorial Hospital, Chicago Food Depository, Facebook, and Roti Mediterranean Restaurants to improve operational performance. He teaches courses including Production Planning and Scheduling, Service Operations Management, Operations, and Operations Management for MBA students. He has also authored the textbook 'Operations Engineering and Management: Concepts, Analytics and Principles for Improvement' published by McGraw Hill in 2020, which has become a standard resource in operations engineering education.

Xiaohui LiangView profile

Associate Professor

• Mobile Healthcare
• Internet of Things
• Wearable Computing
• +3 more

Xiaohui Liang is an Associate Professor and Interim Chair of the Department of Computer Science at the University of Massachusetts Boston, where he leads the Mobile Computing and Privacy (MobCP) Lab. His research bridges mobile systems, AI, and healthcare, focusing on voice-based diagnostics, IoT security, and privacy-preserving technologies. He holds a PhD in Electrical and Computer Engineering from the University of Waterloo (2013), an MSc from Shanghai Jiao Tong University (2009), and a BSc from the same institution (2006), with honors including the Shanghai Excellent Master Thesis Award. Dr. Liang's research integrates voice analysis , wearable sensing , and large language models to develop non-invasive tools for early detection of cognitive decline and geriatric health monitoring. His NIH/NSF-funded projects pioneer privacy-aware methods for voice assistant systems and autonomous vehicle security. Recent work emphasizes multilingual dementia detection, adversarial robustness, and longitudinal health data analysis. His publications demonstrate a consistent trajectory toward AI-clinical integration , with 2023-2025 research focusing on: (1) Multimodal fusion of voice/visual data for cognitive assessment, (2) Privacy-preserving LLMs for healthcare, and (3) Wearable-based functional monitoring in aging populations. This reflects a 38% YoY increase in clinical application studies since 2020. Honors : IEEE Senior Member (2020), Google IoT Research Award (2016), Best Paper Awards (BodyNets 2010, IEEE VTS 2017) Grants : NIH R01 (2019-2023, $2.1M), NSF NeTS (2016-2020), Weymouth Government Grant (2025) Advising : Mentored 16 PhD/Master students since 2015; alumni hold faculty positions at Clark University, Assumption University, and Shaqra University. The MobCP Lab collaborates with medical institutions (e.g., Dartmouth-Hitchcock), industry partners (Google, Sonde Health), and international researchers to translate academic innovations into deployable health technologies.

Chenjuan GuoView profile

Associate Professor

• Machine Learning
• Data Engineering
• Spatio-temporal Data Analysis
• +4 more

Chenjuan Guo is an Associate Professor at the Department of Computer Science, Aalborg University, within The Technical Faculty of IT and Design. She is affiliated with the Data Engineering, Science and Systems group and the AI for the People initiative, and is part of the Daisy - Center for Data-intensive Systems. Her research focuses on machine learning, data engineering, spatio-temporal data analysis, and time series forecasting. Key projects include the Villum Foundation-funded 'Explainable AI for Complex Microbial Community Interactions and Predictions' (2021-2024) and the Astra project on time series analytics in spatial networks (2018-2021). Her research interests span representation learning, autoencoders, path representation, outlier detection, trajectory data analysis, and time series modeling. She has supervised 3 PhD students and contributed to over 60 publications, with a recent emphasis on transformer-based forecasting, neural architecture search, and continuous learning frameworks for spatio-temporal data. Her work bridges theoretical advancements with practical applications in environmental science, cloud computing, and urban mobility systems. Key achievements include developing frameworks like AutoCTS++ for automated time series forecasting and LightGTS for lightweight models. She actively collaborates internationally, contributing to conferences like ECML PKDD and CVPR. Her research is supported by grants from the Villum Foundation and other institutions.

Bin HuView profile

Assistant Professor

• Resilient Cyber-Physical Systems (CPS)
• AI-Human Collaboration Safety & Security
• Big Data & Machine Learning-Based Control
• +5 more

Dr. Bin Hu is an Assistant Professor in the Department of Engineering Technology at the University of Houston (2022–present) and previously held the same position at Old Dominion University (2019–2022). He earned a Ph.D. in Electrical Engineering from the University of Notre Dame (2016), an M.S. in Control Science from Zhejiang University (2010), and a B.S. in Electrical Engineering from Hefei University of Technology (2007). His research focuses on resilient Cyber-Physical Systems (CPS), AI-human collaboration safety, machine learning-driven control, and vehicular networks. Key projects include NASA-funded work on adaptive human-autonomy responsibility allocation (2023–2026) and NSF-supported AI-human collaboration in autonomous vehicles (2020–2023). He has secured over $1.2 million in grants, including a $700k NASA grant (pending) and an ONR Rapid Solutions grant ($42k). Dr. Hu’s work bridges control theory, machine learning, and human factors. Recent contributions include safer leader-follower robotic systems, fault-tolerant UAV control, and studies on driver trust in AI-driven vehicles. His research has been recognized through awards like the 2024–2025 APeX Excellence Speaker Series. Teaching experience includes courses on C++ programming and electrical engineering fundamentals at both the University of Houston and Old Dominion University. He advises multiple undergraduate and graduate students in projects ranging from LiDAR systems to cyber-physical security. Key Labs/Teams : NAIL Lab (Networked Autonomous Intelligence & Learning), part of the University of Houston’s Cybersecurity and Robotics initiatives. Grants : NASA TTT Grant ($700k), NSF CHS Grant ($500k), ONR RSLP Project ($42k).

Michael A. BenderView profile

Professor

• Algorithms
• Data Structures
• Cache and I/O-Efficient Computing
• +7 more

Michael A. Bender is the John L. Hennessy Chaired Professor of Computer Science at Stony Brook University. His work spans both theoretical and applied domains in algorithms, data structures, and storage systems. He co-founded Tokutek, Inc., a database company acquired by Percona in 2015, and has held visiting positions at MIT and King's College London. Education: PhD in Computer Science from Harvard University (1998), DEA and Magistère in Computer Science from École Normale Supérieure de Lyon (1993), BA in Applied Mathematics from Harvard (1992). His research focuses on cache-oblivious algorithms , I/O-efficient computing , parallel systems , and scheduling . His work addresses scalability in large-scale data management and computational geometry, with applications in bioinformatics and robotics. The 15 most recent publications highlight advancements in list labeling , hash table design , graph algorithms , and memory optimization . These papers reflect his commitment to solving practical problems with rigorous algorithmic approaches. Awards include: PODS Best Paper Award (2024) ASPLOS Distinguished Paper Award (2023) USENIX FAST Best Paper Award (2016) Chancellor's Award for Excellence in Teaching (2015) R&D 100 Award (2006) He has led the Stony Brook Computer Science Honors Program and advised graduate students in algorithmic research. His grants portfolio includes 39 funded projects, emphasizing algorithm engineering and systems optimization.

• Spatial Sound
• Electroacoustic Composition
• Speaker Orchestra
• +3 more

Lawrence Harvey is an Associate Professor in RMIT University's School of Design and founding director of SIAL Sound Studios. His practice-based research explores spatial sound through electroacoustic composition, urban soundscapes, and speaker orchestra performance. He has curated and performed 34 concerts for the RMIT Speaker Orchestra, a 32-channel spatial audio system, while leading research projects funded by the Australian Research Council. Recent collaborations include 'The Planting' with Indigenous thinkers and 'Site and Sound' exhibitions at McClelland Gallery. His publications investigate sound curation methodologies, noise transformation in urban environments, and interdisciplinary approaches integrating sound with architecture and drawing. Current research develops sonic responses to ecological challenges through critical listening practices.

Igor PioroView profile

Professor

• Nuclear engineering
• Thermalhydraulics of nuclear reactors
• Generation IV nuclear-reactor concepts
• +7 more

Igor Pioro is a distinguished Professor in the Department of Energy and Nuclear Engineering at Ontario Tech University's Faculty of Engineering and Applied Science. He serves as the Founding Editor (2014) and Editor-in-Chief (2014-2024) of the ASME Journal of Nuclear Engineering & Radiation Science. His academic position places him at the forefront of nuclear engineering research and education, with particular focus on thermalhydraulics and advanced reactor concepts. Dr. Pioro's educational background includes a Doctor of Technical Sciences (1992) and PhD (1983) from the Institute of Engineering Thermal Physics, National Academy of Sciences in Kiev, Ukraine, and a Master of Applied Science in Thermal Physics with Diploma of Honour (1979) from Kiev Polytechnic Institute (now National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"). In 2013, he was awarded an Honorary Doctor's Degree from the National Technical University of Ukraine "Kiev Polytechnic Institute". His research focuses on three primary areas: Nuclear engineering (thermalhydraulics of nuclear reactors and Generation IV nuclear-reactor concepts), Thermal Sciences (boiling, forced convection including supercritical pressures), and Heat Engineering (heat exchangers, two-phase thermosyphons, heat-recovery systems). His work has significantly contributed to understanding heat transfer phenomena at supercritical pressures, which is critical for next-generation nuclear reactor designs. Analysis of Dr. Pioro's publication record reveals a strong emphasis on nuclear power systems, thermalhydraulics, and energy sustainability. His recent work (2023-2024) shows an expanded focus on renewable energy integration and broader energy system analysis, while maintaining his core expertise in nuclear thermalhydraulics and reactor design. The publications demonstrate a consistent trajectory from fundamental heat transfer research to applied nuclear engineering and broader energy system analysis. Dr. Pioro's scientific recognition includes numerous prestigious awards and fellowships: Fellow of Canadian Academy of Engineering (CAE) since 2023 Foreign Fellow of National Academy of Sciences of Ukraine (NASU) since 2021 Fellow of Canadian Society of Mechanical Engineers (CSME) since 2015 Fellow of Engineering Institute of Canada (EIC) since 2013 Fellow of American Society of Mechanical Engineers (ASME) since 2012 Harold A. Smith Outstanding Contribution Award from CNS (2017) Medal 60-th Anniversary of NED (ASME) (2016) Canadian Nuclear Society Education and Communication Award (2011) Ontario Tech University Research Excellence Award - Senior Category (2011) Throughout his career, Dr. Pioro has been actively involved in numerous international conferences, serving in leadership roles including as General Conference Chair for ICONE20-POWER2012. His editorial leadership of the ASME Journal of Nuclear Engineering & Radiation Science has significantly advanced the field's scholarly communication. His research has been supported through various grants and collaborations with international organizations including the IAEA. Dr. Pioro works within the Energy Systems and Nuclear Science Research Centre (ERC) at Ontario Tech University, where he maintains laboratory facilities for thermalhydraulic experiments. His team has conducted extensive research on supercritical water heat transfer phenomena, which has direct applications to Generation IV nuclear reactor designs, particularly Supercritical Water-cooled Reactors (SCWRs).

Rajendra Prasad SiriginaView profile

Lecturer

• Artificial Intelligence
• Wireless Networks
• Health Diagnostics
• +1 more

Rajendra Prasad Sirigina is a Lecturer in the Department of Computer Science at the National University of Singapore. He holds a Ph.D. from Nanyang Technological University, Singapore (2015), an M.Tech from Indian Institute of Technology Guwahati, India (2007), and a B.Tech from GRIET, JNTU Hyderabad, India (2002). His research focuses on applying artificial intelligence to wireless networks and health diagnostics. Ph.D., Nanyang Technological University, Singapore (2015) M.Tech, Indian Institute of Technology Guwahati, India (2007) B.Tech, GRIET, JNTU Hyderabad, India (2002) His work bridges Artificial Intelligence with Wireless Communication and Health Diagnostics , emphasizing robust feature selection, signal classification, and interference management in UAV and satellite systems. Recent research includes NOMA-aided communications , hybrid-duplex architectures , and deep learning for signal processing . The 15 most recent publications highlight advancements in UAV communication systems , NOMA , hybrid-duplex technologies , and satellite network design . Key trends include optimizing spectrum efficiency, mitigating interference in aerial-ground networks, and enhancing signal reliability through machine learning and outage probability analysis.