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Muhammed Fatih ADAKView profile

Associate Professor

• Computer Software
• Data Mining
• Artificial Learning
• +7 more

Muhammed Fatih ADAK is an Associate Professor at Sakarya University's Faculty of Computer and Information Sciences, Department of Computer Engineering. His work spans software engineering, artificial intelligence, and sensor systems with applications in energy, healthcare, and industrial automation. Doctorate: Sakarya University (2016) - Electronic Nose Data Classification with AI Master's: Kocaeli University (2012) - Elevator Simulator Design Bachelor's: Dokuz Eylul University (2009) - Computer Engineering Research focuses on machine learning , software testing , fuzzy logic , anomaly detection , and decision support systems . His articles (2013-2024) explore AI-driven solutions for natural gas monitoring, medical diagnostics, and industrial processes. Recent publications include systematic reviews of AI integration in software engineering phases and predictive models for gas consumption and voice pathology. He supervises graduate students and contributes to academic projects like Smart Gas Sensor Systems and Adaptive Online English Placement Exams . Teaches courses: Data Structures, Fuzzy Logic, Software Testing, Java Programming Co-authored books: Principles of Programming Languages , Visual Programming Managed EU-funded projects like HOPE (street rehabilitation) and AI-Enhanced Performance Evaluation Platforms Develops applications for visually impaired education and workplace safety systems

Qiuhua (Lisa) DuanView profile

Assistant Professor

• Sustainable Infrastructure
• Building Energy Efficiency
• Building Envelopes
• +7 more

Dr. Qiuhua Duan serves as Assistant Professor in the Department of Civil, Construction and Environmental Engineering at the University of Alabama's College of Engineering, where her research centers on sustainable infrastructure and energy-efficient building technologies. Her work bridges architectural engineering with environmental resilience through advanced computational methods. Her academic credentials include dual doctorates: a Ph.D. in Architectural Engineering from Pennsylvania State University and a Ph.D. in Disaster Prevention and Reduction Engineering from Tongji University, complemented by a Master's and Bachelor's in Hydraulic Structural Engineering from Guangxi University. Dr. Duan's research program targets the sustainable built environment with laser focus on energy-efficient building envelopes, smart materials, and indoor comfort optimization. She develops innovative solutions integrating photovoltaics, plasmonic nanofilms, and AI-driven modeling to reduce HVAC energy consumption while enhancing occupant well-being. Her methodology combines computational fluid dynamics, finite element analysis, and machine learning for precision engineering of building systems. Analysis of her 40+ publications reveals dominant themes in solar energy integration, urban heat island mitigation, and photothermal window technologies. Recent work demonstrates sophisticated application of spectral selectivity modeling and traffic congestion prediction algorithms, consistently advancing the frontier of building performance simulation. Her scientific recognition includes: 2nd & 3rd place, Society of Women Engineers Graduate Competition (2019-2020) John and Barbara Yellott Award, American Solar Energy Society (2021) Multiple Penn State University fellowships including the Borda Scholarship (2021) Dr. Duan has secured significant research funding as Principal Investigator for National Science Foundation of China and Guangxi Science Foundation projects, while contributing to US National Science Foundation initiatives. She has mentored 15 master's students through committee leadership, focusing on sustainable infrastructure solutions. Her affiliation with the Alabama Building Training and Assessment Center enables direct translation of research into practical building technologies and training programs.

• Solid Mechanics
• Additive Manufacturing
• Computer Aided Design and Manufacturing
• +5 more

Abdurrahim TEMİZ is an Assistant Professor at the Faculty of Technology, Karabük University , Department of Industrial Design Engineering. He earned his PhD (2022) and MSc (2018) in Industrial Design Engineering from the same institution, following a BSc in Mechanical Engineering (2014). Education: PhD (2022), MSc (2018), BSc (2014) from Karabük University Current Roles: Assistant Professor (2022–present), Deputy Head of Department (2023–present) His research focuses on Solid Mechanics, Additive Manufacturing, Computer Aided Design, Material Design , and Finite Element Analysis . He has led projects on 3D-printed PLA optimization, auxetic structures, and biodegradable magnesium implants , with over 15 publications in SCI/Scopus-indexed journals. His recent work explores TPMS lattice structures for biomedical applications, process parameter optimization in additive manufacturing, and functionally graded materials for implants. Collaborations include researchers from Turkey, Ukraine, and Azerbaijan, with 39 citations (h-index: 8). He has supervised 3 Master’s theses on topics like 3D-printed waste recycling, annealing optimization , and sustainable packaging , while teaching courses in Computer Aided Design, Rapid Prototyping , and Scientific Project Preparation .

Luisa PastoreView profile

Lecturer

• Sustainable Architecture
• Bioclimatic Design
• Building Energy Efficiency
• +7 more

Luisa Pastore is a Lecturer and Scientific Project Manager at the École polytechnique fédérale de Lausanne (EPFL), affiliated with the School of Architecture, Civil and Environmental Engineering (ENAC) and the Teaching and Research Unit of Architecture and Sustainability (SAR-ENS). She leads the 8-year transdisciplinary project SWICE on sustainable energy transition practices and collaborates with the Holcim Foundation for Sustainable Construction and Amber Lion Partners as an Impact and Sustainability Advisor. Her research focuses on sustainable architecture , bioclimatic design , building energy efficiency , and indoor environmental quality . She investigates daylight performance, vegetation integration for thermal comfort, hybrid solar technologies, and climate-responsive urban planning. Her work bridges simulation methodologies with real-world applications in social housing and smart city contexts. Her publications highlight trends in active building envelopes , photovoltaic glassblocks , and post-occupancy evaluations . She has supervised PhD students like Minu Agarwal and worked with interdisciplinary teams in EPFL’s LIPID lab and the Smart Living Lab . Her expertise spans transdisciplinary collaboration, energy certification frameworks, and sustainable construction practices.

• Structural Mechanics
• Finite Element Analysis
• Computational Mechanics
• +7 more

Ali Saleh is an Adjunct Associate Professor at the School of Civil and Environmental Engineering , University of Technology Sydney. With a PhD from RWTH Aachen University, he specializes in structural mechanics, finite element analysis, and cold-formed steel systems. Dr.-Ing, RWTH Aachen University (1982) Dipl.-Ing, RWTH Aachen University (1978) His research focuses on: Composite flooring systems integrating cold-formed steel and timber Seismic performance of industrial racking structures Slender high-rise building stability Advanced global-local finite element analysis Cable-stayed bridge failure modes Key trends in his 15 most recent publications include composite systems optimization (2018-2022), connection behavior in steel structures (2013-2019), and educational innovations (2008-2011). His work has been cited over 150 times, with high-impact studies on vibration behavior and shear connector performance. As a supervisor, he has guided PhD student Ahmad Firouzianhaji (2012-2015) He has held leadership roles including Deputy Head of School (2015-2017) and contributed to 14 funded industry collaborations with Dexion (Australia) Pty Ltd since 2003. His work bridges academic research with practical applications in structural engineering.

• Power Engineering
• Quantum Computing
• Microgrid Stability
• +5 more

Yan Li is an Assistant Professor in Electrical Engineering with extensive research activity spanning 2013–2025 and 76 research outputs. Their work intersects power systems engineering , quantum computing , and computational symmetry with applications in microgrid stability , neuroimage analysis , and human pose dynamics . Active in UN Sustainable Development Goals related to sustainable energy systems Key research areas: Quantum Computing Training , Transient Dynamics Analysis , Software-defined Networking , and Data-driven Modeling Recent publications focus on adaptive control algorithms for microgrids, quantum computing applications in power systems, and geometric machine learning for differential equations on manifolds. Their work combines theoretical innovation with practical implementations in energy and biomedical domains. Grant funding includes: National Science Foundation (CyberTraining: Quantum Computing Training for Power Engineers, 2024–2026) U.S. Navy (Quantum Analysis of Renewable Energy Transients, 2022–; SCADA Network Security via SDN, 2021–) National Science Foundation (Data-driven Modeling for Renewable Systems, 2022–2025)

• Child and Adolescent Psychiatry
• Health Informatics
• Telehealth
• +4 more

Pamela Hoffman, MD serves as Assistant Professor of Child Psychiatry at Yale's Child Study Center and Lecturer in Biostatistics at the Yale School of Public Health, with dual appointments in both departments. She joined Yale in January 2020 as the medical director of Telehealth Services at Yale New Haven Health Services and Yale Medicine, where she leads telehealth initiatives across ambulatory and inpatient settings. As Co-Training Director for the Masters program in Health Informatics, she plays a key leadership role in shaping the next generation of health informatics professionals. Yale School of Public Health - Department of Biostatistics Yale Child Study Center - Primary Appointment Yale Medicine - Medical Director of Telehealth Services Biomedical Informatics and Data Science section collaborator Dr. Hoffman's research focuses on the intersection of child psychiatry and health informatics, with particular emphasis on telehealth implementation, electronic health record optimization, and pediatric emergency psychiatric services. Her work explores how digital health technologies can improve access to mental healthcare for children and adolescents, particularly during crisis situations. She investigates the ethical dimensions of health information sharing, the impact of telehealth on quality of care, and the development of specialized EHR systems for child psychiatry. Her publication record demonstrates a clear progression from traditional child psychiatry toward health informatics innovation, with increasing focus on telehealth systems following the pandemic. The research shows strong clinical grounding combined with technological innovation, particularly in adapting digital health solutions for vulnerable pediatric populations. Her work often addresses system-level challenges in healthcare delivery while maintaining focus on individual patient care quality. Dr. Hoffman maintains active clinical responsibilities in the pediatric emergency department, where she evaluates children in behavioral health crisis. She collaborates extensively with Yale's Biomedical Informatics and Data Science section, bridging clinical practice with technological innovation. Her leadership in the Health Informatics MS program demonstrates her commitment to developing future professionals who can navigate both clinical and technical aspects of modern healthcare. Her educational background combines strong clinical training with specialized informatics expertise. She completed her psychiatry residency and child/adolescent psychiatry fellowship at Hofstra Northwell Health in NY, followed by an additional fellowship in Clinical Informatics at Yale/VA Connecticut Healthcare System. This unique combination of clinical psychiatry training and health informatics expertise positions her as a leader in the emerging field of digital mental health services.

• Discrete-Event Simulation
• Supply Chain Management
• Logistics Optimization
• +5 more

Guilherme Augusto Borges Pereira serves as an Associate Professor at the School of Engineering, University of Minho, and holds the position of Senior Researcher at Centro ALGORITMI. He is actively involved with the IEM R&D Group and SLOTS R&D Lab, contributing to research in industrial engineering and simulation. With a PhD credential and substantial academic output (93 publications, 645 citations, h-index 13), his work appears prominently in Q1/Q2 journals across operations research and industrial engineering domains. His research program centers on discrete-event simulation methodologies applied to complex industrial systems, with particular expertise in supply chain management, logistics optimization, and big data integration. Key application areas include warehouse automation systems, production line control mechanisms, automotive supply chains, cement industry logistics, and healthcare transportation services. His methodological contributions frequently combine simulation with optimization techniques such as genetic algorithms and integer programming to solve real-world operational challenges. Analysis of his publication trajectory reveals a strategic evolution toward integrating big data analytics with traditional simulation frameworks, particularly for supply chain risk management and data validation purposes. His work demonstrates remarkable cross-sector applicability, spanning automotive manufacturing, cement production, cork industry processes, and urban traffic systems. Recent publications emphasize computational experiments with simulation tools in big data contexts, semantic validation techniques, and comparative studies of simulation software platforms. As an academic leader, Pereira has chaired significant conferences including the European Modeling and Simulation Symposium (EMSS) 2019. His research maintains strong industry relevance through case studies addressing material handling systems, warehouse design optimization, production flow control, and non-emergency patient transportation logistics. His technical proficiency extends across multiple simulation environments with particular emphasis on the Simio platform for industrial applications.

Svein Ketil JacobsenView profile

Professor

• Ultrasound Technology
• Microwave Radiometry
• Optics
• +5 more

Svein Ketil Jacobsen is a Professor at the Department of Physics and Technology, UiT The Arctic University of Norway in Tromsø. He specializes in applied physics with a focus on Ultrasound, Microwaves, and Optics. His research bridges medical technology and environmental sensing, with affiliations to the university's research group on these topics. Research interests include: Remote sensing technology : Drone-mounted radar systems for snowpack analysis and avalanche research Biomedical instrumentation : Microwave radiometry for non-invasive diagnostics and hyperthermia treatment Ultrasonic systems : High-frequency transducer design and signal processing techniques Antenna design : Optimized microwave antennas for medical and environmental applications His publication trends show a shift from foundational biomedical microwave work (2001-2012) toward drone-based environmental sensing in recent years (2016-2021). Earlier research focused on medical thermometry, bladder diagnostics, and ultrasonic systems, while recent innovations involve UWB radar for snow hydrology and Arctic monitoring. Professor Jacobsen maintains active laboratory facilities at the Technology Building in Tromsø (Room 2.054), conducting experimental work in microwave and ultrasonic technologies.

Erik SchlangenView profile

Professor

• Civil Engineering
• Materials Science
• Self-Healing Materials
• +6 more

Erik Schlangen is a Professor in the Chair of Experimental Micromechanics at the Delft University of Technology , affiliated with the Faculty of Civil Engineering and Geosciences and the Department of Materials, Mechanics, Management & Design (3MD) . He leads the Materials and Environment section, focusing on experimental techniques for material characterization and computational modeling. Guest Professor at Southeast University, Nanjing, China (2015–present) Director at Sekans b.v. (2025–2027) His research spans self-healing materials , 3D printing of concrete , micromechanics , and computational modeling . He pioneered self-healing asphalt using induction heating and holds an ERC Advanced Grant for the MAGICON project on self-healing infrastructure. Recent publications analyze filament stitching for 3D-printed composites , piezoelectric sensors for fatigue monitoring, and machine learning for cement microstructure generation . His work emphasizes sustainability and durability in construction materials, with applications to concrete and asphalt. Scientific Awards ERC Advanced Grant (MAGICON) Editorial Roles Editor-in-Chief (Europe) of Advances in Concrete Construction Editor of Construction and Building Materials (10 years) Editorial Board of Cement & Concrete Composites

Chengzhi PengView profile

Senior Lecturer

• Architectural Computing
• Urban Climate Science
• Building Energy Modelling
• +5 more

Dr Chengzhi Peng serves as Senior Lecturer and Director of Postgraduate Research at the University of Sheffield's School of Architecture and Landscape. With qualifications including BArch, DipLA, MSc, and PhD, he maintains dual research foci in Design Studies/Architectural Computing (DADA) and Architectural-Urban Science/Climate (AUSC). His leadership spans a research team comprising one postdoctoral associate and six PhD students. Research interests concentrate on building stock energy modelling, climate change impacts on built environments, ageing societies' challenges, and air quality simulation. His work integrates environmental simulation with sustainable design for climate adaptation, particularly through the MSc Digital Architecture and Design program where he serves as Director. Teaching emphasizes dissertation supervision across undergraduate, MArch, and postgraduate levels while embedding computational methods into architectural pedagogy. Recent publications reveal strong trends in urban climate resilience, with 2023-2025 works focusing on heat-health warning systems for vulnerable populations, PM2.5 infiltration analysis in educational buildings, and machine learning applications for air quality improvement. The research consistently bridges architectural design with environmental performance metrics, emphasizing real-world urban contexts and climate adaptation strategies. Significant grant funding includes AXA Research Fund (£124,739) for care home heat stress mitigation, ESRC fellowships (£91,953) on thermal vulnerability, and WUN collaborations (£14,932) on transcultural climate-responsive design. His team's work spans from city-scale housing stock modelling to micro-level indoor environmental quality assessments. Professional engagement includes editorial roles at ArchNet-IJAR (2012-2023) and Buildings journal, AHRC Peer Review College membership (2009-2012), and conference committee participation in eCAADe and CAADRIA. The Architectural and Urban Science (AUS) research group drives projects on solar micro-grid optimization, institutional building stock analysis, and vegetation-air quality interactions.

Luigi PalizzoloView profile

Associate Professor

• Structural Engineering
• Elastoplastic Analysis
• Seismic Design
• +7 more

Luigi Palizzolo is an Associate Professor in the Faculty of Architecture at the University of Palermo , specializing in Structural Engineering . His academic career spans over three decades, with key roles in research, teaching, and international collaborations. Graduated in Civil Engineering (Building Section) in 1986 PhD in Structural Engineering (1994) His research focuses on advanced elastoplastic analysis , seismic protection devices , and optimal structural design . Current work emphasizes sustainable materials and computational modeling for structural systems. Recent publications highlight trends in masonry vault analysis , steel connection optimization , and geopolymer composites . His work bridges theoretical numerical methods with experimental validation. He has served on multiple scientific committees for international conferences and acts as a reviewer for leading journals. His administrative roles include Deputy Director of the Department of Structural and Geotechnical Engineering and active participation in PhD committees . Palizzolo supervises advanced research projects and contributes to local and national research initiatives , with a focus on seismic resilience and structural optimization .

Chujun ZongView profile

Research Fellow

• Life Cycle Assessment
• Sustainable Building
• Building Simulation
• +3 more

Chujun Zong is a Research Fellow at the Chair of Energy Efficient and Sustainable Design and Building, Technical University of Munich (TUM), since 2022. Her work integrates dynamic life cycle assessment, multi-objective optimization, and building simulation to address uncertainty in sustainable building design and urban development. Education Background: Bachelor of Architecture, Technical University of Munich (2014-2019) Exchange Semester, Architecture, École polytechnique fédérale de Lausanne (2016-2017) Master of Resource Efficient and Sustainable Building, Technical University of Munich (2019-2022) Research Focus: Zong specializes in dynamic life cycle analysis of buildings, stochastic optimization under uncertainty, and machine learning applications for occupant behavior modeling. Her work bridges temporal variations in building performance with holistic evaluation frameworks spanning material-level carbon footprints to urban district sustainability metrics. Current projects emphasize system dynamics modeling for insulation materials and multi-stage decision-making in façade design. Publication Trends: Her 11 publications (2022-2024) reveal a cohesive trajectory toward integrating stochastic optimization with building simulation. Key themes include life cycle carbon footprint modeling for materials, non-intrusive occupant behavior prediction, and urban-scale sustainability metrics. The research consistently addresses methodological gaps in handling uncertainty during early design phases through robust computational frameworks. Academic Engagement: As part of Prof. Lang's chair, Zong assists in teaching courses on sustainable architecture and scientific methodology. The chair drives major initiatives like CircularFTmehrRAUM (circular economy) and Klimalyse (climate analysis), positioning her within TUM's ecosystem for climate-resilient urban development through projects spanning building materials to neighborhood-scale green infrastructure.

Sukyoung RyuView profile

Professor

• Programming Languages
• Program Analysis
• Static Analysis
• +5 more

Sukyoung Ryu is a Professor in the Department of Computer Science at KAIST's College of Computing, South Korea. Her research centers on programming languages and program analysis, with significant contributions to WebAssembly, JavaScript semantics, and language specification. She leads the Programming Languages Research Group (PLRG) at KAIST. Her research spans multiple critical areas including executable specification engineering, static analysis techniques, and language interoperability. Recent work focuses on WebAssembly conformance testing, C-to-Rust translation, and bridging real-world implementations with formal semantics. Her group develops practical tools like SpecTec for mechanized language specifications and JISET for JavaScript semantics extraction. Analysis of her 15 most recent publications reveals strong trends in executable specifications (7 papers), WebAssembly tooling (5 papers), and language translation (4 papers). Key methodological approaches include record-replay debugging, filtered-simulation for binary lifting, and algebraic data type transformations for memory safety. Ryu actively contributes to the programming languages community through leadership roles including Steering Committee Chair for APLAS, Program Co-Chair for SPLASH/OOPSLA, and committee positions at POPL, PLDI, and ICFP. She frequently organizes workshops on real-world language specification (RPLS) and presents keynotes on programming language research for social good. Her mentoring activities include co-chairing New Faculty Symposia and participating in RTFM panels on faculty mentoring. She advises students through KAIST's programs and supervises research in the PLRG lab, which focuses on building practical language tools with formal foundations. Current projects emphasize WebAssembly standardization, secure language interoperability, and specification-based testing frameworks.

Michael WaringView profile

Professor

• Indoor Air Quality
• Building Sustainability
• Indoor Aerosol Modeling
• +3 more

Michael Waring serves as Professor and Department Head of Civil, Architectural and Environmental Engineering at Drexel University, where he has advanced building science research since joining in 2009. His work bridges environmental engineering and architectural design to create healthier indoor environments through innovative air quality solutions. His academic credentials include: Ph.D. in Civil Engineering, University of Texas at Austin (2009) M.S.E. in Environmental Engineering, University of Texas at Austin (2006) B.S.E. in Architectural Engineering, University of Texas at Austin (2005) B.A. in English (Special Honors) and Economics, University of Texas at Austin (2000) Waring's research centers on indoor air quality dynamics, focusing on aerosol formation, chemical transport, and sustainable building systems. He investigates how indoor environments affect human exposure to pollutants and pathogens, with particular emphasis on modeling particulate matter behavior and developing evidence-based ventilation strategies. His work demonstrates that optimizing building operations can simultaneously enhance occupant health, productivity, and energy efficiency—addressing critical societal challenges through engineering innovation. Analysis of his recent publications (2022-2025) reveals three dominant research trajectories: airborne pathogen control (including far-UVC disinfection and aerosol containment devices), indoor chemical processes (particularly secondary organic aerosol formation), and advanced modeling of particle dynamics. These efforts integrate environmental engineering, public health, and computational science to solve real-world problems in residential, educational, and healthcare settings. His scientific recognition includes: National Science Foundation CAREER Award (2011) ASHRAE New Investigator Award (2012) ASHRAE Willis H. Carrier Award (2011) ASHRAE Transactions Paper Award (2011) University of Texas Harrington Dissertation Fellowship (2008-09) ASHRAE Graduate Student Grant-in-Aid (2008) National Science Foundation IGERT Trainee Fellowship (2006-08) As principal investigator of the NSF CAREER project on secondary organic aerosol formation, Waring directs substantial research funding while mentoring emerging scholars. His work informs building standards through collaborations with ASHRAE and government agencies, translating complex aerosol science into practical ventilation guidelines that balance energy use with occupant protection—especially critical during pandemic conditions. Current projects examine real-time indoor chemistry monitoring and advanced filtration systems for public transit. Waring leads Drexel's indoor environmental quality research through computational modeling and experimental facilities, contributing to national initiatives like the Modelling Consortium for Chemistry of Indoor Environments (MOCCIE). His team develops predictive tools that simulate indoor air chemistry from molecular to room scales, directly influencing building codes and public health policies worldwide.