جست‌وجوی استاد و پژوهشگر

• Cardiovascular Nursing
• Cardiac Rehabilitation
• Atrial Fibrillation
• +۷ مورد دیگر

Ian Jones is a Professor of Cardiovascular Nursing at Liverpool John Moores University, affiliated with the School of Nursing and Allied Health. He has been in this role since 2016 and remains an active researcher and academic leader in cardiovascular nursing and rehabilitation. His research interests are centered on improving outcomes for patients with cardiovascular disease, particularly through cardiac rehabilitation, patient self-efficacy, health-related quality of life, and innovative screening methods such as AI-based phenotyping and wearable technologies. He also investigates integrated care models for stroke and cardiorenal metabolic syndrome, as well as the impact of digital health interventions. His recent publications demonstrate a strong trend in mixed-methods research, systematic reviews, and clinical trials focused on patient-centered outcomes, preventive cardiology, and digital innovation in healthcare. He contributes to major scientific statements from organizations such as the European Society of Cardiology. Cardiac Rehabilitation and Quality of Life Atrial Fibrillation Screening and Management Digital Health and Wearable Technologies Integrated and Multidisciplinary Care Nursing Education and Research Training He has co-authored numerous high-impact publications and contributed to book chapters and consensus guidelines. While no specific awards are listed, his involvement in influential scientific statements indicates recognition within the field. He mentors students and early-career researchers, as evidenced by his contributions to PhD theses and research placement development. His work often involves collaboration with multidisciplinary teams across institutions and countries. He is involved in several research initiatives, including studies on supermarket-based AF screening (SHOPS-AF), web-based rehabilitation (ACTIVATE trial), and the Liverpool-Huawei Stroke Study, indicating active leadership in translational cardiovascular research.

• Microelectronics
• Nanotechnology
• Semiconductor Device Reliability
• +۷ مورد دیگر

Daniel M. Dankovic is a Full Professor at the Faculty of Electronics, University of Niš, Serbia, where he also obtained his B.Sc., M.Sc., and Ph.D. degrees. He is affiliated with the Department of Microelectronics and heads both the department and the Laboratory for Practical Teaching in Electronic Components and Microsystems. He is actively involved in national and international research projects and contributes to academic publishing as an assistant editor of Microelectronics Reliability and editor of Facta Universitatis, Series: Electronics and Energetics . Ph.D. in Nanotechnology and Microsystems, Faculty of Electronics, University of Niš (2009) M.Sc. in Microelectronics, Faculty of Electronics, University of Niš (2006) B.Sc. in Electronics and Telecommunications, Faculty of Electronics, University of Niš (2001) His research focuses on the reliability of semiconductor devices, particularly Negative Bias Temperature Instability (NBTI) in p-channel power VDMOSFETs, radiation effects, degradation mechanisms, and microsystem design. He also contributes to engineering education, especially in PCB design and hands-on training. His work bridges theoretical modeling, experimental validation, and practical teaching methodologies. The recent publications (2012–2020) reflect a strong thematic consistency in semiconductor device reliability, with emphasis on NBTI, radiation interactions, and measurement techniques. Additionally, he explores IoT-based smart monitoring systems and innovative approaches in engineering education, demonstrating interdisciplinary engagement across microelectronics, applied physics, and pedagogy. Daniel M. Dankovic holds no explicitly listed scientific awards in the provided text. He advises students through research collaboration, particularly evident in co-authored publications with junior researchers, though no formal list of advisees is provided. He is currently involved in 4 national and 1 international research project, indicating active grant funding and collaborative research. His leadership roles include heading key academic units and organizing major IEEE conferences in the region. He leads the Laboratory for the implementation of practical teaching in the module Electronic Components and Microsystems and the Master's program in Electronics and Microsystems, ensuring integration of research and education in advanced electronics.

• Hardware Security
• Internet of Things
• Embedded Systems
• +۵ مورد دیگر

Thibaut Vandervelden is a Researcher at Vrije Universiteit Brussel's Faculty of Engineering, Department of Electronics and Informatics. His work focuses on hardware security, embedded systems, and cryptographic implementations for resource-constrained environments. With an h-index of 4, he has produced significant research output since 2019, primarily in Sensors, IEEE Access, and Future Generation Computer Systems. His research interests center on practical security implementations for IoT devices and embedded systems, with particular expertise in Rust programming for secure embedded development, cryptographic protocol optimization, and network security for low-power wireless networks. His work bridges theoretical security concepts with practical implementation challenges in constrained environments. Analysis of his recent publications reveals a strong trend toward secure embedded systems development, with increasing focus on Rust programming language applications, zero-knowledge proofs for privacy-preserving systems, and optimization of cryptographic operations for IoT devices. His research demonstrates consistent collaboration with colleagues including Ruben De Smet, An Braeken, and Kris Steenhaut. Scientific recognition includes: IACR RWC'21 Cryptohackathon on Functional Encryption: 2nd prize (2021) Vandervelden actively participates in research community building through organizing workshops like RustIEC and presenting at events focused on embedded systems security. His work has been referenced in Wikipedia pages and garnered attention across academic and professional platforms, with media contributions on cybersecurity research in Flanders. He leads and participates in research teams focused on wireless community development and the Internet of Batteryless Things, contributing to both theoretical frameworks and practical implementations in hardware security.

• Artificial Intelligence
• Deep Learning
• Machine Learning
• +۱۲ مورد دیگر

Giovanna Maria Dimitri is an Assistant Professor Tenure Track in Artificial Intelligence at Universitá degli Studi di Milano (Statale), with additional affiliations at the ICE, University of Cambridge, and the Dipartimento di Ingegneria dell'Informazione e Scienze Matematiche (DIISM) at the University of Siena. She earned her PhD in Artificial Intelligence from the University of Cambridge under Prof. Pietro Liò, focusing on multilayer network methodologies for brain data analysis. She holds an MPhil in Advanced Computer Science from Cambridge with distinction and completed her Master’s and Bachelor’s in Computer and Automation Engineering at the University of Siena, both with top honors. PhD in Artificial Intelligence – University of Cambridge, UK MPhil in Advanced Computer Science – University of Cambridge, UK (Distinction) Master’s & Bachelor’s in Computer and Automation Engineering – University of Siena, Italy (110/110 cum laude) Her research spans a broad spectrum of artificial intelligence, including foundational models, deep learning, brain data modeling, and applications in healthcare, environmental science, and sustainability. She is particularly known for her work on GAN detection, emotional image datasets, climate change impact modeling, and AI for Sustainable Development Goals. Her interdisciplinary approach integrates computer science with neuroscience, public health, and social impact. Her recent publications reflect a strong trend in applying AI to real-world problems such as healthcare diagnostics (e.g., Brugada Syndrome detection), environmental monitoring (air quality, climate change on agriculture), and ethical AI (CO2 emissions of ML models). She also contributes to digital humanities and science communication, indicating a commitment to societal engagement and interdisciplinary collaboration. She has received the competitive Ai-Net Fellows Scholarship from DAAD in 2023, enabling collaboration with Prof. Gemma Roig’s lab. She is an Associate Editor for Neurocomputing (Elsevier) and was elected Associate Editor of IEEE Transactions on Technology and Society in May 2024. Dimitri has extensive teaching experience, lecturing Business Intelligence at the University of Siena and serving as a Guest Lecturer in Data Science at the University of Cambridge’s Institute of Continuing Education. She has supervised numerous students and has a publication record of nearly 60 peer-reviewed papers. She is also active in science communication, having been interviewed by Italian media and appearing on Rai Radio 1. She is a life member of Clare Hall College, University of Cambridge, and continues to contribute to academic and public discourse on AI through seminars, workshops, and editorial leadership.

• Sports Science
• Athlete Monitoring
• Performance Testing
• +۷ مورد دیگر

Dr. Pitre Bourdon is an Adjunct Associate Professor at the University of South Australia, affiliated with the UniSA Allied Health and Human Performance school. He is actively engaged in research on athlete monitoring, performance analysis, and workload assessment in both youth and elite sporting environments. His work emphasizes the use of technology such as inertial measurement units (IMUs), GPS, and mobile applications for objective and subjective monitoring of athletes. His research interests include sports science, exercise physiology, biomechanics, and youth athlete development. Dr. Bourdon’s work focuses on validating tools for performance testing, assessing readiness, and understanding how training and competition loads impact athlete outcomes. He frequently collaborates with sport organizations and researchers across Australia. The recent publications highlight a strong trend in evaluating monitoring technologies, particularly in basketball and Australian Rules Football. His studies analyze the reliability of IMUs, the impact of reduced game time on performance intensity, and the validity of readiness markers like jump height and heart rate variability. These works collectively contribute to improving data-driven decision-making in elite sports. Scientific Awards: None mentioned in the provided text. Dr. Bourdon serves as a Research Degree Supervisor, indicating active mentorship of postgraduate students, although specific advisees are not listed. There is no mention of external grants or funding sources in the provided material. He is involved in collaborative research projects with teams from UniSA and external sports entities such as Basketball South Australia and the Greater Western Sydney Giants Football Club. He is associated with the Alliance for Research in Exercise, Nutrition and Activity (ARENA) at UniSA, which functions as a research hub for human performance and sport science. This unit supports interdisciplinary research aimed at enhancing athletic performance and health outcomes through evidence-based practices.

Bochen Jiaمشاهده پروفایل

دانشیار

• Human Factors and Ergonomics
• Wearable Sensors
• Worker Capacity and Safety
• +۴ مورد دیگر

Bochen Jia is an Associate Professor at the University of Michigan-Dearborn's College of Engineering and Computer Science , specializing in Industrial and Manufacturing Systems Engineering . With a background in Industrial & Systems Engineering (PhD and MS) and Engineering Mechanics (MS and BS), he leads research on human factors, ergonomics, and human-exoskeleton interactions. Research Highlights: Investigates worker capacity changes under modern occupational risks Led ASTM International task group to establish exoskeleton digital modeling standards Explores ergonomic challenges in connected/autonomous vehicle design Develops wearable systems for posture and fatigue monitoring Advances pedestrian safety through AR/VR interface design Publications Trends show expertise in biomechanics, AI-driven workload assessment, autonomous vehicle-pedestrian communication, and STEAM education integration over 2018-2025. Scientific Awards include 11 grants from organizations like ASTM International, Michigan Mobility Transformation Center, and Ford Motor Company. Key projects involve exoskeleton standards, automated driving education, and pedestrian safety technologies. Teaching Innovation includes integrating ergonomic competitions, practical engineering tools, and lab development for automotive education. Established a multipurpose lab with external funding to prepare students for future mobility challenges.

• Hydrogeology
• Groundwater dynamics
• Contaminant transport in aquifers
• +۵ مورد دیگر

Josep Mas Pla is a Full Professor in the Department of Environmental Sciences at the Universitat de Girona (UdG) since 2006, and a Research Professor at the Catalan Institute for Water Research (ICRA) since 2013. He holds a PhD in Geology from Universitat Autònoma de Barcelona (1988) and a PhD in Hydrology and Water Resources from the University of Arizona (1993). His research focuses on hydrogeological dynamics, groundwater contamination, and water resources management in Mediterranean environments. Key areas include: Regional hydrogeological dynamics based on field work, hydrochemical and isotopic data Groundwater flow systems at large scale in mountain and basin areas Occurrence and transport of contaminants, particularly nitrates and emerging organic contaminants like pharmaceuticals Stream-aquifer interactions and their role in water resource availability Climate change impacts on groundwater resources His recent publications demonstrate a strong focus on emerging contaminants in groundwater systems, particularly pharmaceuticals and antibiotic resistance. The research spans multiple disciplines including hydrogeology, environmental science, water quality, and public health, with applications to water resource management under climate change conditions. His scientific contributions have been recognized with: Scopus h-Index: 28 / 2686 cites (April 2024) Google Scholar h-Index: 30 / 3799 cites; h10-Index: 42 (April 2024) Fulbright Scholar award Dr. Mas-Pla has directed 6 doctoral theses and 15 master's theses, with current research projects including TREASURE (2024-2027) as Coordinator, focusing on groundwater and reclaimed water for drought adaptation, and ADVANCE4WATER (2023-2027) where he leads the EC-FATE subproject on emerging contaminants in groundwater. He serves as Associate Editor for Hydrogeology Journal (Springer, Q1) since 2019 and coordinates the consolidated research group 'Applied and Environmental Geology (GAiA)' recognized by the Catalan government since 2009.

Gruia-Catalin Romanمشاهده پروفایل

استاد

• Mobile Computing
• Distributed Systems
• Software Engineering
• +۱۲ مورد دیگر

Gruia-Catalin Roman is a Professor in the Department of Computer Science at the University of New Mexico, within the College of Engineering. He has maintained a long-standing and impactful career in computer science research and education, with a focus on mobile computing, distributed systems, and the Internet of Things. His work bridges theoretical foundations and real-world applications, particularly in sensor networks and smart environments. Ph.D., Computer and Information Sciences, University of Pennsylvania, 1976 M.S., Computer and Information Sciences, University of Pennsylvania, 1974 B.S., Computer Science and Engineering, University of Pennsylvania, 1973 Roman's research interests center on enabling natural, responsive, and personalized interactions between people and smart environments. He explores middleware, formal methods, and human-centered computing to support IoT, mobile systems, and distributed applications. His work emphasizes paradigm shifts in how users interact with technology, particularly through spatial characteristics, augmented reality, and context-aware automation. The recent articles reflect a strong trajectory toward intelligent, user-aware IoT systems. Themes include conflict prediction, seamless automation, AR-based control, and abstraction layers like the Space Broker. These works demonstrate a shift from device-centric to human-centric computing, leveraging machine learning, middleware, and distributed algorithms to reduce user cognitive load and enhance personalization. SenSys 2022 Test of Time Award for early efforts to introduce sensor networking technology into clinical practice Roman has supervised 19 doctoral students, many of whom have pursued academic careers. He has secured significant research funding, including an NSF grant on context-assisted interactions in IoT with UT Austin. His leadership extends to organizing flagship conferences such as ICSE 2005 and FSE 2010, and serving on editorial boards of top software engineering journals. He is known for his innovative teaching, mentoring, and advocacy for active learning and multidisciplinary collaboration. Roman leads the Mobile Computing Laboratory (MobiLab), where students and researchers prototype and evaluate IoT interaction paradigms. The lab explores smart glasses, QR-based interfaces, and spatial control algorithms. His work often involves collaborations across institutions and disciplines, reflecting his commitment to impactful, real-world computing solutions.

John A. Marohnمشاهده پروفایل

استاد

• Nanoscale Imaging
• Magnetic Resonance Force Microscopy
• Semiconductor Charge Dynamics
• +۴ مورد دیگر

John A. Marohn is a Full Professor in the Department of Chemistry and Chemical Biology at Cornell University, affiliated with the College of Arts and Sciences. He leads the Marohn Research Group focusing on nanoscale imaging techniques. His research bridges analytical chemistry, materials physics, and nanotechnology with emphasis on developing magnetic resonance force microscopy for biomolecular imaging and electrical probe microscopy for semiconductor devices. Education: • B.S. Chemistry, University of Rochester (1989) • B.A. Physics, University of Rochester (1989) • Ph.D. Chemistry, California Institute of Technology (1996) • Postdoctoral Associate, US Army Research Laboratory Research Focus: Dr. Marohn's work centers on pushing imaging resolution limits to study individual biomolecules and charge dynamics in next-generation semiconductors. Key areas include: • Nanoscale magnetic resonance imaging • Charge transport in perovskites and organic photovoltaics • Quantum measurement techniques • Scanning probe microscopy development Publication Trends: His 15 most recent publications demonstrate consistent focus on experimental techniques for nanoscale characterization, with growing emphasis on perovskite semiconductors, magnetic resonance methodology refinement, and computational modeling frameworks. Work frequently appears in high-impact journals including ACS Nano, Physical Review Applied, and Journal of Chemical Physics. Academic Leadership: Heads active research group supervising 7 current PhD students with over 30 PhD alumni. Secured multiple grants from NIH, NSF, and ARO. Contributes to Cornell's Materials Science Engineering graduate field and Center for Materials Research.

Zilong Yeمشاهده پروفایل

دانشیار

• Computer Networking
• Network Function Virtualization
• Software-Defined Networking
• +۶ مورد دیگر

Zilong Ye is an Associate Professor in the Department of Computer Science at California State University, Los Angeles, within the College of Engineering, Computer Science, and Technology. He holds a Ph.D. in Computer Science from University at Buffalo, SUNY (2015), an M.S. from Shanghai Jiao Tong University (2010), and a B.S. from Shandong University (2007). Ph.D., Computer Science, University at Buffalo, SUNY M.S., Computer Science, Shanghai Jiao Tong University B.S., Computer Science, Shandong University His research focuses on computer networking, with emphasis on Network Function Virtualization, Software-Defined Networking, Fog Computing, and Optical Networking. He has pioneered work in distributed fiber optic sensing and infrastructure-as-a-sensor systems, addressing challenges in sensor placement, network survivability, and concurrent sensing capabilities. Publications from 2013-2024 span optical networking, IoT security, and cloud optimization, with recent work on UAV-based mobile edge computing and fiber optic sensing. Awards include Best Paper (ICC 2021) and Best Demo (ACM ICN 2016). TPC co-chair for ACM Mobihoc workshop on MobileHealth (2018) Organized international symposia on 5G technologies and SDN/NFV Journal reviewer for IEEE Transactions on Network and Service Management, Mobile Computing, and others Patents include distributed fiber optic sensor placement systems and methods for information-centric networks. Teaching includes advanced courses in computer networks and operating systems.

Claudio Giovanni Demartiniمشاهده پروفایل

استاد

• Computer Engineering
• Education Innovation
• Innovation Management
• +۵ مورد دیگر

Claudio Giovanni Demartini is a Full Professor of Computer Engineering at the Department of Control and Computer Engineering (DAUIN) at Polytechnic University of Turin . Holding the academic rank of Professor, he has been actively involved in teaching, research, and institutional governance since the 2000s. His affiliations include the GRAINS research group (Graphics and Intelligent Systems), NEXA Center on Internet and Society, and leadership roles in the Academic Senate and Department of Computer Engineering (2015-2019). PhD in Information and Systems Engineering (1987) Engineering Degree in Electronics (1980), Polytechnic University of Turin Research Interests span multiple domains of Computer Engineering and Information Systems , with specific focus on: IT Governance and Enterprise Architecture Digital Transformation in Education Blockchain and Distributed Ledger Technologies Wireless Sensor Networks and Cyber-Physical Systems Innovation Management in Industrial Contexts Human-Machine Interfaces and Virtual Reality Research Trends Analysis reveals consistent engagement with: Data-driven learning organizations (2023-2025) TSCH wireless protocol optimization (2019-2020) Social-technical aspects of IT governance AI applications in educational systems Blockchain for industrial and societal applications Immersive VR interfaces for system control Scientific Distinctions Fellow, IEEE (2007-) Senior Member, IEEE Member, Eta Kappa Nu Honor Association (2017-) Editorial Board, IEEE IT Professional Magazine Advising and Governance includes: Scientific Director for 15+ competitive research projects Leadership in European educational technology initiatives Advising on Italian national education reforms Board roles at Mario Boella Institute and INVALSI

Milind Diwanمشاهده پروفایل

استاد

• Experimental Nuclear and Particle Physics
• Rare decays of K-mesons
• Neutrino Interactions
• +۸ مورد دیگر

Milind Diwan is a Distinguished Scientist in the Physics Department at Brookhaven National Laboratory, where he leads research in particle physics, neutrino physics, and detector development. He has made significant contributions to rare kaon decays, neutrino physics, and the development of advanced detectors. Diwan is particularly known for initiating and organizing the US long-baseline neutrino program that evolved into the LBNF/DUNE project, now the highest priority fundamental science project in the United States. Education: University of Colorado at Boulder, BA (Physics), 1982 Brown University, Sc.M. (Physics), 1984 Brown University, Ph.D. (Physics), 1988 Dr. Diwan's research spans experimental nuclear and particle physics with focus on rare kaon decays, neutrino interactions, and neutrino oscillations. His work encompasses detector development, particularly with scintillation detectors, liquid scintillators, and photo-multiplier tubes. He has pioneered techniques in readout electronics and data analysis, with particular expertise in organizing large-scale scientific projects. His research has significantly advanced our understanding of neutrino properties and rare particle decay processes. Analysis of Diwan's recent publications reveals a strong focus on neutrino physics, particularly sterile neutrino searches, long-baseline neutrino experiments, and far-forward neutrino production at the LHC. His work bridges theoretical predictions with experimental verification, with emphasis on precision measurements that test the boundaries of the Standard Model. The publications demonstrate expertise in both accelerator-based and reactor-based neutrino experiments. Scientific Awards: Science and Technology award from Brookhaven National Laboratory (2017) for 'Important experimental contributions to understand the properties of neutrinos.' Co-recipient Break Through Prize for Daya Bay collaboration (2015) 'For the fundamental discovery and exploration of neutrino oscillations, revealing a new frontier beyond, and possibly far beyond, the standard model of particle physics.' Sociedade Brasileira de Fisica (SBF) and American Physical Society (APS) award for visiting professorship (2015) Fellow of the American Physical Society (2009) Dr. Diwan has served as analysis leader in multiple major collaborations including E787 (rare kaon decays) and MINOS (neutrino oscillations), and as spokesperson for several experiments including LBNE. He has chaired important review panels for the DOE and served on the HEPAP sub-panel on planning for the future of U.S. high energy physics. His leadership was instrumental in developing the national study that formed the basis for the LBNF/DUNE project approval. Diwan leads research activities involving detector commissioning for the ICARUS liquid argon detector at Fermilab, analysis of neutrino oscillations data, and design of photo-sensor systems for next-generation neutrino experiments. His work spans both hardware development and sophisticated data analysis techniques, with particular emphasis on creating robust methodologies for extracting physics results from complex detector systems.

• Biometrics
• Behavioral Biometrics
• Human-Computer Interaction (HCI)
• +۸ مورد دیگر

Rubén Vera-Rodríguez is a researcher at the Biometrics and Data Pattern Analytics (BiDA) Lab, part of the Escuela Politécnica Superior at Universidad Autónoma de Madrid, Spain. His work focuses on biometrics, human-computer interaction, and privacy-enhancing technologies, with strong emphasis on mobile and wearable systems. Research Interests: His primary research areas include behavioral biometrics (keystroke dynamics, gait recognition), face recognition, synthetic data generation, and privacy-preserving methods in biometric systems. He explores the use of deep learning and transformer models for mobile authentication and digital phenotyping. The trends in his recent publications show increasing use of synthetic data, explainable AI, and transformer architectures in biometric systems. His work spans both technical innovation and privacy-aware design, contributing to benchmark datasets and open challenges. Scientific Contributions: Co-organizer of the SVC-onGoing and WAMWB workshops. Contributor to major biometric databases including BehavePassDB and ChildCIdb. Active in privacy-focused biometric research, as seen in surveys on sensor vulnerabilities. Advising and Collaborations: He collaborates extensively with researchers such as Ruben Tolosana, Aythami Morales, and Julian Fierrez. While no formal students are listed, he leads and contributes to team-based research projects and competitions. Labs and Teams: He is a core member of the Biometrics and Data Pattern Analytics (BiDA) Lab at UAM, a research group focused on advancing biometric technologies with attention to real-world usability and ethical considerations.

• Oceanography
• Environmental Science
• Climate Change
• +۴ مورد دیگر

Colin Andrew Stedmon is an Associate Professor at the Institute for Aquatic Resources (DTU-AQUA), Technical University of Denmark, specializing in oceanography and biogeochemistry. He earned his Ph.D. from the University of Copenhagen in 2004 and has held research roles at the National Environmental Research Institute before joining DTU-AQUA in 2011. Education: Ph.D., University of Copenhagen (2004) Employment: National Environmental Research Institute (2005-2008), Aarhus University (2008-2011), DTU-AQUA (2011-present) His research focuses on dissolved organic matter (DOM) dynamics in marine environments, Arctic Ocean biogeochemistry, and climate change impacts. He employs advanced spectroscopic techniques and machine learning to analyze DOM composition and its role in global carbon cycles. Recent publications highlight Siberian river runoff effects on ocean circulation, Greenland Sea stratification changes, and DOM tracing methodologies. Key Research Areas: DOM cycling, Arctic hydrology, ocean-climate interactions, micropollutant degradation Technical Expertise: UV-visible spectroscopy, fluorescence techniques, biogeochemical modeling

Hailin Zhengمشاهده پروفایل

پژوهشگر

• Indoor Environmental Quality
• Indoor Air Quality
• Building Physics
• +۶ مورد دیگر

Hailin Zheng is a Postdoctoral Researcher at Eindhoven University of Technology's Faculty of the Built Environment, specializing in Building Services within the Department of Building Services. His work bridges architectural design, building physics, and environmental engineering with a focus on creating healthier indoor spaces through evidence-based solutions. Dr. Zheng's research centers on Indoor Environmental Quality (IEQ), particularly: Real-time wireless monitoring of indoor air quality in vulnerable settings Ventilation performance optimization for educational and healthcare facilities Exposure assessment of volatile organic compounds in daycare centers Development of personalized ventilation systems for infants and elderly populations Integration of healthy building principles into retrofit projects His multidisciplinary approach combines field measurements, controlled experiments, and building performance simulation to address critical gaps in occupant-centric environmental design. Analysis of his publication record reveals a strong emphasis on vulnerable populations (infants, elderly, dementia patients) and practical engineering solutions. Key trends include: Systematic evaluation of building technologies through controlled experiments Focus on microenvironments (baby beds, bedroom zones) Development of low-cost monitoring solutions for real-world implementation Integration of health outcomes with building performance metrics His scientific recognition includes: Best Paper Award at the 44th AIVC Conference (2024) TU/e Postdoc Best Paper Award with 750 euro prize (2024) Dr. Zheng actively contributes to academic discourse through: Editorial work for Sensors and Archives of Public Health journals Invited talks on 'IAQ to IEQ' and 'Invisible threats inside baby beds' Teaching master's courses including 'Introduction to Building Performance' and 'Masterproject BPS' Leading the 'Healthy Building Movement' research project (2023-2026) focusing on active building solutions His work directly supports UN Sustainable Development Goals 3 (Good Health) and 11 (Sustainable Cities), with practical applications in daycare centers, office buildings, and residential care facilities through the integration of monitoring technologies and evidence-based design principles.