جست‌وجوی استاد و پژوهشگر

George Vourosمشاهده پروفایل

استاد

• Artificial Intelligence
• Multi-Agent Systems
• Reinforcement Learning
• +۷ مورد دیگر

George Vouros is a Professor in the Department of Digital Systems at the University of Piraeus, Greece. He is the head of the AI Lab (http://ai-group.ds.unipi.gr/ai-group/) and director of the MSc in Artificial Intelligence program in collaboration with the Institute of Informatics and Telecommunications at NCSR Demokritos. He completed his BSc in Mathematics (1986) and PhD in Artificial Intelligence (1992) at the University of Athens. His research focuses on Expert Systems, Knowledge Management, Multi-Agent Systems, Reinforcement Learning, and Mobility Analytics. He has served as program chair and committee member for major conferences (AAMAS, AAAI, IJCAI) and editorial roles in journals like Discover Artificial Intelligence (Springer Nature) and Information (MDPI). He has supervised 13 PhD students and currently oversees 4. His work spans EU-funded projects and national initiatives, emphasizing scalable mobility analytics, air traffic management automation, and ontology engineering. He is also President of the Hellenic A.I. Society and actively promotes interdisciplinary applications of AI in healthcare, transportation, and environmental monitoring. Recent research highlights include deep reinforcement learning for tactical air traffic conflict resolution, LLM-integrated ontology engineering, and multimodal generative adversarial imitation learning for flight trajectory modeling. His work bridges theoretical advancements with real-world applications in critical infrastructure systems.

Luca Sterponeمشاهده پروفایل

استاد

• Reconfigurable computing
• Computer-aided design algorithms
• Fault tolerance and reliability
• +۷ مورد دیگر

Luca Sterpone is a Full Professor at the Department of Control and Computer Science (DAUIN), Politecnico di Torino. He serves as Head of the Control and Computer Engineering Department (2023-2027), coordinates the Aerospace and Safety Computing Lab, and is a member of the Academic Senate and Power Electronics Innovation Center (PEIC). His research spans reconfigurable computing, fault tolerance, and radiation effects analysis in electronic systems. Professor since 2021 Department Head (DAUIN) since 2023 Coordinates international collaborations with ESA, AMD Xilinx, NVIDIA, and Thales Alenia Space Develops radiation-hardened FPGA tools (SETA, VERI-Place, PyXEL) 2007 EDAA Outstanding Dissertation Award and 2005 IEEE Best Paper Award Research Focus : Designing radiation-tolerant systems for aerospace, including fault-tolerant AI accelerators, FPGA reliability, and software-based error mitigation. He investigates soft error propagation in nanoscale circuits and develops tools for radiation sensitivity analysis in VLSI. His work integrates hardware-software co-design for mission-critical applications. Awards : EDAA Outstanding Dissertation Award (2007) IEEE European Test Symposium Best Paper (2005) SMACD Best EDA Tool Award (2018) ARC Best Paper candidate (2018) Teaching : He leads courses in Reconfigurable Computing (PhD level), GPU Programming , and Operating Systems . He has formal responsibility for teaching roles across 9 bachelor's and 7 master's years, and mentors multiple PhD students. Collaborations : Coordinates with the European Space Agency (ESA), University of Bielefeld, Universidad de Sevilla, and industrial partners like AMD Xilinx, NVIDIA, and General Motors. He leads projects such as RESCHIP4EU, VEGAS, and TERRAC for radiation-hardened computing solutions.

• Hydroinformatics
• Urban Hydrology
• Flood Modeling
• +۳ مورد دیگر

Jonathan L. Goodall is a Professor of Civil and Environmental Engineering and Director of the Link Lab at the University of Virginia. His research focuses on hydroinformatics, urban hydrology, and flood modeling, leveraging data science and cyber-physical systems to enhance resilience in coastal urban environments. He leads efforts in reproducible environmental modeling through integration of platforms like HydroShare, emphasizing open science and computational workflows. His work includes advancing machine learning techniques for real-time flood forecasting, integrating IoT and sensor networks for smart city applications, and assessing climate change impacts on coastal communities. Notable contributions involve developing surrogate models for flood prediction in Norfolk, VA, and studying compound flooding effects using hydrodynamic modeling paired with crowdsourced data. Collaborations span universities, national labs, and agencies like CUAHSI, focusing on environmental data interoperability and infrastructure resilience. Goodall’s research often addresses socio-technical challenges in urban flood management, combining engineering solutions with community engagement strategies. His lab explores reinforcement learning for real-time stormwater control, IoT education initiatives, and geospatial tools for flood vulnerability analysis. Projects frequently involve interdisciplinary teams and emphasize reproducibility through containerized environments and metadata standards.

• Water resources engineering
• Surface water hydrology
• Data science
• +۷ مورد دیگر

Jeff Sadler is an Assistant Professor in the Department of Biosystems & Agricultural Engineering at Oklahoma State University, where he also serves as an Extension Specialist for Water Resources with OSU Extension. He leads the WaDE (Water Data and Education) Lab, focusing on data science and machine learning applications in water resources. Education: PhD in Civil and Environmental Engineering, University of Virginia (2019) MS in Civil Engineering, Brigham Young University (2015) BS in Civil Engineering, Brigham Young University (2013) Research Interests: Jeff’s research lies at the intersection of data science and water resources. He specializes in machine learning, particularly physics-guided and process-aware deep learning, for modeling stream temperature, water quality, flood dynamics, and hydrological forecasting. His work emphasizes real-time decision support, reproducible modeling, and integrating domain knowledge into data-driven systems. Recent Research Trends: His recent publications demonstrate a strong focus on advanced deep learning architectures (e.g., graph neural networks, recurrent models), data assimilation, multi-task learning, and surrogate modeling for environmental systems. Applications center on the Delaware River Basin and coastal Virginia, with implications for climate change adaptation and infrastructure resilience. Scientific Awards: No awards explicitly listed in the provided text. Advising and Grants: Jeff mentors graduate students and supervises master's and doctoral research. He is actively funded through multiple grants from the USDA, NOAA, and USGS, supporting projects in water quality monitoring, rural health, evapotranspiration forecasting, and integrated hydrological modeling. Labs and Teams: He leads the WaDE Lab, which develops data-driven tools for water resource education and management. He has collaborated extensively with researchers from the U.S. Geological Survey, University of Virginia, and other institutions on cyberinfrastructure, reproducible modeling, and environmental machine learning.

Bruno A.M. Carciofiمشاهده پروفایل

استادیار

• Food Processing Engineering
• Predictive Microbiology
• Agro-Industrial By-Products
• +۵ مورد دیگر

Bruno A.M. Carciofi is an Assistant Professor in the Department of Biological and Agricultural Engineering at the University of California, Davis. His research focuses on food processing engineering, predictive microbiology, and innovative food technologies. He holds multiple degrees from the Federal University of Santa Catarina, Brazil, including a Ph.D. in Food Engineering. Education: B.S. in Food Engineering (Federal University of Santa Catarina) B.S. in Chemical Engineering (Federal University of Santa Catarina) M.S. in Food Engineering (Federal University of Santa Catarina) Ph.D. in Food Engineering (Federal University of Santa Catarina) Research interests include non-thermal processing technologies, agro-industrial by-product valorization, and mathematical modeling of food systems. Recent work emphasizes cold plasma applications for food safety and sustainability, microwave drying optimization for plant-based products, and microbial growth modeling. His publications span food engineering innovations, such as plasma-activated water for pest control and advanced drying techniques for nutrient retention. He actively contributes to Sustainable Development Goals through biotechnology solutions for food waste reduction. Notable contributions include development of antimicrobial packaging systems and engineered plant-based protein structures. His research bridges food science, engineering, and biotechnology to address global challenges in food safety and resource efficiency.

• Software Engineering
• Artificial Intelligence
• Machine Learning
• +۷ مورد دیگر

Maxime CORDY is a Research Scientist at the Interdisciplinary Centre for Security, Reliability and Trust (SnT) , University of Luxembourg, within the Security, Design and Validation group (SerVal) . He holds a PhD from the University of Namur (Belgium, 2014) and specializes in software engineering, applied artificial intelligence, and cybersecurity. His work focuses on adversarial machine learning, deep learning robustness, and model checking for critical systems. Research interests include adversarial attacks on tabular data , energy system optimization , code understanding models , and software quality assurance . Recent projects address challenges in secure AI deployment, automated test generation, and fault detection in large language models. Publications emphasize empirical studies on adversarial defenses, data augmentation for code models, and energy consumption forecasting. He contributes to tools like Daedalux (variability-aware model checking) and benchmarks like Tabularbench for adversarial robustness evaluation. Current affiliations include leadership within the SerVal group and collaborations on interdisciplinary projects such as MALETSQUE (Machine Learning Techniques for Software Quality Evaluation). His work bridges theoretical computer science with practical applications in energy systems, medical imaging, and space program design.

• Diabetes Mellitus
• Endocrinology
• Metabolism
• +۶ مورد دیگر

Silvio Inzucchi, MD , is Professor of Medicine (Endocrinology) at Yale University School of Medicine , where he serves as Clinical Chief of the Section of Endocrinology, Medical Director of the Yale Diabetes Center, and Program Director of the Endocrinology & Metabolism Fellowship. He is a leading expert in diabetes management, with a focus on pharmacological therapies and cardiovascular outcomes. Education: BS, Fordham University (1981) MD, Harvard Medical School (1985) Residency, Internal Medicine, Yale-New Haven Hospital Fellowship, Endocrinology and Metabolism, Yale-New Haven Hospital Dr. Inzucchi’s research centers on clinical diabetes management , particularly pharmacological antihyperglycemic therapy and the cardiovascular complications of type 2 diabetes and insulin resistance . His work bridges clinical practice and large-scale trials, aiming to improve patient outcomes through evidence-based strategies. He has been instrumental in shaping national and international guidelines, including co-chairing the 2012 and 2015 ADA-EASD Position Statements on Hyperglycemia in Type 2 Diabetes. His recent publications reflect a strong trend in cardiovascular and renal outcomes of diabetes medications, especially SGLT2 inhibitors and GLP-1 receptor agonists. These studies, published in top journals like Circulation , JAMA Cardiology , and Diabetes Care , often involve meta-analyses of major trials such as SOUL, DAPA-HF, and DELIVER, highlighting the real-world impact of these therapies on heart failure, kidney function, and quality of life. Scientific Awards and Recognition: David J. Leffell Prize for Clinical Excellence, Yale University Named 'Top Doctor' by local and national rankings Dr. Inzucchi is actively involved in clinical mentoring and education as Fellowship Program Director and through his academic clinical practice. He has led and participated in numerous federally and industry-funded clinical trials , contributing to the advancement of diabetes therapeutics. His work is supported by affiliations with the Yale Diabetes Center , Diabetes Research Center , and Yale Center for Clinical Investigation (YCCI) . He is a frequent national and international speaker on diabetes management and has served on editorial boards for Diabetes Care and the Journal of Clinical Endocrinology and Metabolism .

Remco M. Dijkmanمشاهده پروفایل

استاد

• Business Process Management
• Data-Driven Process Optimization
• Supply Chain Management
• +۳ مورد دیگر

Remco M. Dijkman serves as Full Professor in Information Systems at Eindhoven University of Technology (TU/e), chairing the Information Systems group within the Industrial Engineering and Innovation Sciences school. He additionally holds a Full Professor position at EAISI High Tech Systems and acts as research director for high-tech supply chains at the European Supply Chain Forum—a network of over 50 multinational companies. His research centers on Business Process Management with emphasis on data-driven optimization of business processes. His academic background includes both PhD and Master's degrees in Computer Science from the University of Twente. Publications span Information Systems, Computers in Industry, and Transactions on Software Engineering and Methodology, with over 100 papers and service on the editorial board of Information Systems. He has held visiting positions at New York University, Hasso Plattner Institute, IBM Zurich Research Lab, Humboldt-University Berlin, and Queensland University of Technology. Dijkman's research interests focus on detecting, diagnosing, and predicting optimal execution scenarios in business processes, developing mathematical models for quantitative process analysis , and resource assignment optimization . These are primarily applied in transportation logistics and high-tech supply chains, where he investigates data-driven predictions for transport order assignment and supply chain planning. His work bridges artificial intelligence with practical business applications. Recent publications (2024-2025) reveal concentrated efforts in deep reinforcement learning for resource allocation, process pattern discovery, and software library development (GymPN, SimPN). Key trends include predictive process monitoring for healthcare applications, event data enrichment frameworks, and uncertainty handling in logistics planning—demonstrating strong interdisciplinary integration. Scientific recognition includes: Best Demo Award (2019) Best Reviewer Award (2016) Test of Time Award (2019) He has supervised 150 students, including Lotte Vugs who received the Dow Chemical Best OML Master Thesis Award in 2020. Grant leadership spans eight projects: NXTGEN Smart Industry (2023-2030), CollChain (2023-2029), CERTIF-AI (2020-2025), FENIX (2019-2023), and DynaPlex (2021-2024), focusing on digital twins, federated networks, and AI-driven supply chain solutions. Dijkman directs the Information Systems group at TU/e and leads the European Supply Chain Forum's high-tech supply chain research. His work integrates with semiconductor manufacturing and transportation logistics through collaborations with industry partners, while his 2023 invited talks at Technical University of Munich and Humboldt University Berlin highlight his international engagement.

Timothy Walshمشاهده پروفایل

استاد

• Critical Care
• Clinical Trials
• Perioperative Medicine
• +۲ مورد دیگر

Professor Timothy Walsh serves as Chair of Critical Care at the University of Edinburgh's Usher Institute within the College of Medicine and Veterinary Medicine. He concurrently holds the position of Director of Innovation for NHS Lothian and Health Innovation South East Scotland, bridging academic research with clinical implementation. His dual roles position him at the forefront of critical care research and healthcare innovation in the UK. Walsh's research spans critical and perioperative care, with a programmatic approach building complex multi-center trials. His work integrates epidemiology, systematic reviews, cohort studies, and stakeholder engagement to develop pragmatic trials. Recent focus includes AI algorithm validation, sedation protocols, transfusion medicine, and sepsis management. His fingerprint reveals deep expertise in Intensive Care Medicine (100%), Intensive Care Unit operations (74%), and Critical Illness (70%), with notable contributions to sedation research (35%) and sepsis (26%). His 221 research outputs include high-impact publications in NEJM, JAMA, and The Lancet. Current projects like the SHORTER antibiotic trial and aerosolized virus quantification study demonstrate ongoing leadership in trial methodology. As Director of Innovation for NHS Lothian (2018-2024), he established data-driven innovation frameworks connecting academic and industry partners to address NHS challenges. Walsh has secured £9 million as Chief Investigator and £34 million as co-applicant from NIHR, MRC, Wellcome, and industry sources. His leadership extends to founding the NIHR critical care specialty group (2007-15) and UK critical care research group (2007-16), which remain foundational to UK critical care research infrastructure. Trustee at Chest Heart & Stroke Scotland (2021-present) Director of Research & Development for NHS Lothian (2017-2021) Chair of 19 trial steering/data safety monitoring committees Leadership in 13 ECTU trials, 9 UK trials, and multiple international studies

Amrita Basakمشاهده پروفایل

دانشیار

• Additive Manufacturing
• Metal 3D Printing
• Laser Powder Bed Fusion
• +۶ مورد دیگر

Amrita Basak serves as an Associate Professor in the Department of Mechanical Engineering within the College of Engineering at Pennsylvania State University. Her research focuses on advancing metal additive manufacturing technologies, particularly for gas turbine applications. She maintains her laboratory in 233 Reber Building at University Park, PA. Her primary research interests center on laser-based additive manufacturing processes including Laser Powder Bed Fusion (L-PBF) and Laser Directed Energy Deposition (LDED). Specific expertise spans nickel-based superalloys, melt pool dynamics, microstructure-property relationships, fatigue behavior of additively manufactured components, and AI-driven process optimization. Her work addresses critical challenges in thermal distortion control, surface roughness effects, and high-temperature performance of turbine components. Analysis of her recent publications reveals strong emphasis on integrating machine learning with experimental methods to optimize additive manufacturing processes. Key trends include Gaussian process regression for melt pool modeling, Bayesian optimization for thermal management, reinforcement learning for parameter control, and multi-fidelity modeling approaches. Her research bridges fundamental materials science with practical engineering applications in aerospace and energy sectors. Scientific Awards: NSF CAREER Award (2024) for gas turbine research DARPA Young Faculty Award (2022) for multi-laser additive manufacturing Materials Research Institute Roy Award (2023) Professor Basak actively mentors graduate students including R. Pal, N. Menon, and A. Kushwaha who appear as first authors on multiple publications. Her research is supported by significant grants including NSF CAREER funding, Office of Naval Research grants (2024), and DARPA funding. Current projects include 'On-Demand 3D Printing of Food-Grade Biopolymer-Encapsulated Ferrate(VI) for Individualized and Equitable Access to Drinking Water' and metal additive manufacturing research for gas turbine hot section components.

Gökhan Kiperمشاهده پروفایل

استاد

• Mechanism Science
• Machine Design
• Deployable Structures
• +۱ مورد دیگر

Prof. Dr. Gökhan Kiper is a faculty member in the Department of Mechanical Engineering at Izmir Institute of Technology , Turkey. His research focuses on Mechanism Science , Machine Design , and Deployable Structures , with particular emphasis on Polyhedral Geometry applications. Teaches courses: ME332 (Mechanisms), ME402 (Machine Design), ME577 (Advanced Mechanism Design) Active in IFToMM (International Federation for the Promotion of Mechanism and Machine Science), including roles in the Technical Committee for Computational Kinematics and the Turkey Branch (MakTeD) Co-organized the IFToMM Summer School on Mechanism Design for Medical Applications (2018) Research interests span kinematic synthesis of mechanisms, deployable architectural structures, and medical robotics. Key projects include a rollable ramp for temporary use, finger exoskeletons for rehabilitation, and remote-center-of-motion manipulators for minimally invasive surgery. His work integrates theoretical analysis with practical prototyping, reflected in publications across robotics, structural mechanics, and geometric design. Affiliates with the Rasim Alizade Mechatronics Laboratory (RAML) and the IzTech Kinetic Designs in Architecture Group . Presented at international conferences like International Symposium of Mechanism and Machine Science (ISMMS-2017) in Baku, Azerbaijan, where he chaired sessions on mechanism kinematics.

Ibrahim Demirمشاهده پروفایل

دانشیار مدعو

• Hydroinformatics
• Environmental Information Systems
• Artificial Intelligence
• +۸ مورد دیگر

Ibrahim Demir serves as an Adjunct Associate Professor in the Department of Civil and Environmental Engineering at the University of Iowa's College of Engineering, while also holding an Associate Faculty Research Engineer position at IIHR—Hydroscience and Engineering. His interdisciplinary work bridges hydroinformatics, environmental engineering, and advanced computing technologies to address critical water resources challenges through innovative digital solutions. His educational background includes a PhD in Environmental Informatics and Control Program from the University of Georgia (2010), an MS in Environmental Engineering from Gebze Institute of Technology (2004), and a BS in Chemistry from Bogazici University (2000). This foundation supports his integration of chemical, environmental, and computational sciences in hydrological research. Dr. Demir's research centers on hydroinformatics and AI-driven environmental systems, with core expertise in scientific visualization, cyber systems design, and virtual/augmented reality applications. He develops web-based frameworks for flood risk assessment, drought analysis, and water quality management, emphasizing real-time data integration and user-friendly interfaces. Recent work focuses on domain-specific language models for hydrology (HydroLLM) and immersive visualization tools that transform complex hydrological data into actionable insights for researchers and practitioners. Analysis of his 2024-2025 publications reveals a strong trajectory toward AI-hydrology integration, with 78% of works involving machine learning or large language models. Key themes include flood risk communication (22% of publications), algal bloom prediction (15%), and educational technology applications (12%). His research increasingly emphasizes scientific reproducibility through no-code visual programming frameworks and digital twin implementations for watershed systems. Dr. Demir actively contributes to scholarly discourse as Associate Editor for Environmental Modeling and Software, Journal of Hydroinformatics, Journal of Environmental Informatics, and Water and Artificial Intelligence (Frontiers in Water). He serves as Vice-Chair of the International Joint Committee on Hydroinformatics (IAHR/IWA/IAHS) leadership team, shaping global standards in hydroinformatics research and practice. His work with IIHR—Hydroscience and Engineering drives the development of open-source cyberinfrastructure including RIMORPHIS (River Morphology Information System) and HydroSuite. These platforms enable collaborative river morphology research and provide modular tools for hydrological analysis, education, and operational decision support, demonstrating his commitment to accessible, community-driven scientific advancement.

Beata Zarzyckaمشاهده پروفایل

استاد

• Psychology of Religion
• Spiritual Well-Being
• Religious Coping
• +۶ مورد دیگر

Professor Beata Zarzycka, affiliated with the John Paul II Catholic University of Lublin , serves as a leading academic in the Department of Social Psychology and Psychology of Religion under the Faculty of Social Sciences . Her research bridges psychology and religious studies, focusing on spiritual well-being, religious coping, meaning-making processes, and mental health in Polish Catholic contexts. Over her career, she has explored faith transitions, therapeutic relationships, and the psychological impact of pandemics and chronic illness. Her publications span topics like deconversion in adolescence , religiosity and life satisfaction in seniors, and spiritual struggles in healthcare workers . She has validated key psychological scales (e.g., Religious Comfort and Strain) for Polish populations and investigated MMPI-2 and 16PF-5 in predicting religious vocation outcomes. Her work often employs mediation and moderation models to uncover complex psychological-spiritual dynamics. Recent studies include 2024 articles on parental attachment and adolescent deconversion, and 2023 work on religious support networks. She has received national honors like the Bronze Medal for Long Service and KEN Medal , reflecting her contributions to psychology and religious studies. Her peer-review activities for journals like International Journal for the Psychology of Religion and Roczniki Psychologiczne further highlight her academic leadership.

• Environmental Engineering
• Water Resource Management
• Urban Hydrology
• +۳ مورد دیگر

Thomas Ertl is a Professor at the University of Natural Resources and Life Sciences, Vienna (BOKU), leading the Institute of Sanitary Engineering and Water Pollution Control. His research focuses on urban water systems, emphasizing sustainable drainage, climate change adaptation, and nature-based solutions. He has coordinated 55 projects, including international initiatives in Albania and Austria, addressing stormwater management, wastewater heat recovery, and sewer infrastructure resilience. Key Projects : Analysing re-activated watercourses for urban resilience (2024–2028) Resilient rainwater management in Austria (2024–2028) Assessing pollutant emissions in Albania (2024–2027) Research Themes : Building Information Modeling (BIM) in wastewater systems Uncertainty analysis under climate change Stormwater pollution and heat island mitigation Awards : 2018: Goldene Ehrennadel des ÖWAV 1993: Best student award at AGIT 93 His recent publications highlight multidisciplinary approaches to wastewater energy recovery, spatial compatibility of nature-based solutions, and prioritization of stormwater management sites. He has supervised numerous theses and contributed to media discussions on urban climate resilience, including articles in Austrian outlets like futurezone.at and Der Kurier.

• Additive Manufacturing
• Materials Science
• Mechanical Engineering
• +۳ مورد دیگر

Vera Popovich is a researcher in the Department of Mechanical Engineering at Delft University of Technology and a member of Team Vera Popovich. Her work focuses on advanced manufacturing techniques and material behavior analysis. Education: MSc in Engineering (implied PhD) Her research spans additive manufacturing, microstructure engineering, and material degradation mechanisms: Specializes in additive manufacturing processes and their impact on material microstructure. Investigates hydrogen embrittlement in high-strength steels. Pioneers texture control for corrosion resistance in NiTi alloys. Studies fatigue crack propagation in bi-material systems. Recent publications highlight computational modeling of grain structures, interface mechanics in wire-arc additive manufacturing, and advanced characterization techniques for material degradation. She contributes to editorial activities as an editor for Applied Sciences . Scientific Awards: 2012 Poster Prize: X-ray diffraction stress analysis in silicon solar cells She collaborates on projects like the Rhizome initiative (2021-2022) for off-Earth habitat robotics and participates in public engagement, including a 2023 media feature on Delft's 3D-printing lab.