جست‌وجوی استاد و پژوهشگر

H. David Jeongمشاهده پروفایل

استاد

• Construction Management
• Artificial Intelligence in Civil Engineering
• Data Analytics for Infrastructure
• +۵ مورد دیگر

H. David Jeong is the Associate Department Head and Professor in the Department of Construction Science at Texas A&M University's College of Architecture. His work focuses on advancing construction management through data analytics, artificial intelligence, and innovative technologies. Key areas of research include risk analysis, cost estimation, transportation infrastructure optimization, and collaboration strategies in project delivery. He leads initiatives such as the Serious Games and Simulations for the Built Environment (SeGSiBE) and contributes to the Data Analytics and Artificial Intelligence for Construction Management program. Jeong’s research integrates machine learning, NLP, and GIS technologies to address challenges in construction scheduling, asset management, and project performance evaluation. His projects emphasize practical applications, such as developing predictive models for gravel loss, contingency estimation frameworks, and chatbot-driven workflow tools. He has published extensively on topics like highway construction contract times, AI-based project prioritization, and lifecycle data management in transportation assets. Education : While specific academic credentials are not detailed, his roles imply advanced training in construction engineering and management. Labs/Teams : Leads SeGSiBE lab and collaborates on the HCCI (Highway Construction Cost Index) tool development. Grants/Advising : No student advisees listed, but his research projects likely involve graduate students and industry partnerships.

Angelina Ananiمشاهده پروفایل

دانشیار

• Mining Systems Optimization
• Mine Planning and Production Scheduling
• Sustainable Mining Systems
• +۱۲ مورد دیگر

Dr. Angelina Anani is an Associate Professor in the Department of Mining & Geological Engineering at the University of Arizona, College of Engineering. She is also a member of the Graduate Faculty and actively contributes to research and teaching in mining systems optimization, mine planning, and sustainable mining practices. Education: PhD in Mining Engineering, Missouri University of Science and Technology, Rolla, Missouri, United States BS in Mining Engineering (Summa cum laude), Missouri University of Science and Technology, Rolla, Missouri, United States Research Interests: Dr. Anani's research spans a broad spectrum of mining engineering challenges, focusing on modeling and optimization of mining systems , mine planning and production scheduling , and sustainable mining system design . She investigates mine equipment reliability , tunneling and underground works , and energy and water efficiency . A significant portion of her recent work integrates machine learning and data-driven approaches into mine safety and planning, including 3D/4D/VR applications and digital twin systems . Her interdisciplinary approach also includes ethnographic research in mining communities and supply chain management in the mining sector. Publications Trends: Her recent publications reflect a strong shift toward intelligent systems in mining, with increasing focus on machine learning for safety, process mining for maintenance, and digital twin deployment. She combines traditional optimization techniques like discrete event simulation with modern AI to solve complex mining challenges, particularly in underground and transition mines. Scientific Awards: Freeport-McMoRan, Inc. Career Development Grant Society for Mining, Metallurgy and Exploration, Fall 2022 Faculty Core Advising and Grants: Dr. Anani supervises graduate research through MNE 900 (Research), MNE 910 (Thesis), and MNE 920 (Dissertation) courses. She has secured external funding such as the Freeport-McMoRan Career Development Grant, supporting her innovative work in mine optimization and safety. While current students are not listed, her active supervision load indicates ongoing mentorship of master’s and PhD candidates. Labs and Teams: She is actively involved with the San Xavier Underground Mine Laboratory, where she contributes to monitoring systems and digital twin development. Her collaborative work with researchers from Chile and Ghana highlights her international engagement. She is also affiliated with professional societies including the Society of Mining, Metallurgy and Exploration (SME), Society of Mining Professors, and Women in Mining (WIM), contributing to both technical and diversity initiatives in the field.

Sven Apelمشاهده پروفایل

استاد

• Software Engineering
• Software Variability and Configuration
• AI-based Program Generation and Optimization
• +۷ مورد دیگر

Sven Apel is Professor of Computer Science at Saarland University, where he holds the Chair of Software Engineering and directs the Saarbrücken Graduate School of Computer Science within the Saarland Informatics Campus. His research aims to advance software engineering into an era of intensive automation by developing methods, tools, and theories for building efficient, reliable, and maintainable software systems, with a strong emphasis on the human factor and interdisciplinary inquiry. His primary research interests include software variability and configuration, AI-based program generation and optimization, socio-technical software analysis, and the application of empirical and neurophysiological methods to study program comprehension. He actively collaborates with industry partners such as Siemens AG, Bosch Engineering, and Airbus Helicopters to apply his research in real-world contexts. His recent publications demonstrate a strong trend towards integrating artificial intelligence and neurocognitive methods into software engineering, focusing on configurable systems, performance modeling, debugging processes, and the scientific validity of empirical studies. His work spans top venues like ICSE, FSE, ASE, and IEEE TSE. ERC Advanced Grant “Brains On Code” ASE Fellow ACM Distinguished Member Hugo Junkers Award for Research and Innovation Heisenberg Professorship (DFG) Emmy-Noether Fellowship (DFG) Best Doctoral Dissertation Awards (University of Magdeburg, Ernst-Denert Foundation, 2007) Most Influential Paper Awards (SPLC'19, ICPC'22, GPCE'23) ACM SIGSOFT Distinguished Paper Awards (ICSE'15, ICSE'21) Best Paper Awards (SPLC'11, Modularity'15, Academy of Management'18) Distinguished Reviewer Awards (ASE'18, ICSE'24, FSE'24) Sven Apel has secured significant research funding, including an ERC Advanced Grant (€2.5M) and multiple DFG grants as Principal Investigator and Project Leader. He has advised numerous PhD and Master’s students and is actively involved in the academic community through program committees for major conferences like ICSE, FSE, and ASE. His work is conducted within a collaborative environment that includes close partnerships with researchers at the Max Planck Institute for Informatics and other institutions within the Saarland Informatics Campus.

Guoqing Luمشاهده پروفایل

استاد

• Bioinformatics
• Genomics
• Viral Evolution
• +۵ مورد دیگر

Guoqing Lu is an Isaacson Professor of Bioinformatics and Genomics at the University of Nebraska at Omaha (UNO), affiliated with the Department of Biology and School of Interdisciplinary Informatics. He holds a Ph.D. in Biology from Laval University, with additional master's degrees in Biology and Computer Science, and completed postdoctoral research at McGill University. His research focuses on computational methods for genomic data analysis, viral evolution, and applications in aquaculture and conservation biology. Dr. Lu has directed the Bioinformatics Research Core Facility at UNL and received major grants from NIH, NSF, and USDA. Awards include UNO’s Excellence in Research Award and Distinguished Research Award. He teaches courses such as Bioinformatics Algorithms and Comparative Genomics, and chairs committees including Bioinformatics UPC and Biology GPC. His lab explores topics like fish microbiomes, pathogen-host interactions, and CRISPR applications in aquaculture. Education: Ph.D. Biology (Laval University), M.Sc. Biology & Computer Science, Postdoc (McGill University). Research Interests: Bioinformatics tools development, genomic data mining, viral evolution modeling, fish pigmentation genetics, and eDNA-based ecological monitoring. His work bridges computational methods with biological problems like invasive species control and disease dynamics. Grants & Awards: Multi-million grants from NIH/NSF/USDA; awards for research excellence in UNO’s College of Arts & Sciences. Serves on editorial boards and reviews for agencies like NSF-China and UK MRC. Advising & Service: Advisor to students, leader in curriculum development for BIOT programs. Consults on sustainability and bioinformatics initiatives. Labs & Teams: Directs Dr. Lu’s Lab, focusing on bioinformatics applications in ecology, aquaculture, and conservation genetics. Collaborates with institutions globally on genomic projects.

Steve Davisمشاهده پروفایل

پژوهشگر ارشد

• Soft Robotics
• Automation
• Biomimetics
• +۴ مورد دیگر

Dr. Steve Davis is a Senior Research Fellow in Robotics at the University of Birmingham and Operational Director of The Birmingham Institute for Robotics. With over 25 years of expertise in robotics, his research focuses on soft robotics, biomimetics, advanced actuators, and robotics applications in healthcare, nuclear decommissioning, and the food industry. He holds a BEng, MSc, and PhD in Robotics from the University of Salford and a PGCert in Academic Practice. Education: BEng in Robotic and Electronic Engineering (1998), University of Salford MSc in Advanced Robotics (1999), University of Salford PhD in Robotics (2005), University of Salford PGCert in Academic Practice (2014), University of Salford Research Interests: Steve’s work spans soft robotics, biomimetic systems, and automation solutions for industries like food manufacturing and healthcare. His innovations include variable stiffness actuators, robotic hands, and grippers designed for safe human interaction. He has pioneered projects such as the Grail Robot for the food industry and contributed to EU-funded initiatives like SMART-E and FAIRSPACE. Publications Trends: His recent work emphasizes soft robotics actuators (e.g., pneumatic muscles, granular jamming grippers) and predictive maintenance methodologies. Collaborations with industry have led to practical automation solutions across sectors. Awards: Fellow of the Higher Education Academy (FHEA) Grants and Supervision: Steve has secured funding from UKRI, EPSRC, Innovate UK, and the EU. He has advised on MSc and PhD projects related to robotics in healthcare, space, and nuclear environments. Notable grants include the EPSRC FAIRSPACE Hub and Innovate UK’s Nuclear Decommissioning project. Labs and Teams: He leads research at the Birmingham Institute for Robotics and collaborates with the EPSRC Centre for Innovative Manufacturing. His work integrates academic research with industrial applications through projects like the Food Robotics Automation Center funded by Yorkshire Forward.

Ali Wanis Ali Elshaariمشاهده پروفایل

دانشیار

• Quantum Photonics
• Topological Photonics
• Quantum Integrated Photonics
• +۷ مورد دیگر

Ali W. Elshaari is an Associate Professor at the Royal Institute of Technology (KTH) in Stockholm, Sweden. He holds a B.S. in Electrical Engineering from the University of Benghazi (2007) and a Ph.D. in photonics from the Rochester Institute of Technology (2011). His postdoctoral research at TU Delft’s Kavli Institute of Nanoscience focused on quantum transport. Currently, he leads the Quantum Nano Photonics Group, pioneering work in topological and quantum integrated photonics to develop high-performance circuits for communication, sensing, and metrology. His research spans hybrid quantum photonics, strain-tunable systems, and superconducting detectors, with applications in quantum communication and quantum materials characterization. Elshaari's research interests include integrating single-photon emitters into CMOS-compatible platforms, exploring quantum phenomena like entanglement and coherence, and developing advanced photonic materials (e.g., hexagonal boron nitride and Cu₂O). He has contributed to on-chip single-photon generation/filtering, strain-tunable photonic circuits, and slow-wave superconducting detectors. His work bridges experimental and theoretical approaches, leveraging imaging techniques and phase retrieval algorithms. Elshaari is an editorial board member for Nature Portfolio - Scientific Reports , Wiley Advanced Quantum Technologies , and EPJ Quantum Technology . He teaches courses in quantum technology, electromagnetism, and optical physics. His funding includes grants from the Wallenberg Foundation, Swedish Research Council, Vinnova, and the European Research Council. His lab actively recruits students for bachelor’s and master’s projects in quantum photonics and nanophotonics.

• Software Engineering
• Software Testing
• Program Analysis
• +۴ مورد دیگر

Alessandro Orso is the Dean and Professor of the University of Georgia College of Engineering. Previously, he served as a professor at Georgia Institute of Technology, where he directed the Scientific Software Engineering Center and held leadership roles, including interim dean of the College of Computing (2023–2024). He earned his Ph.D. and master’s in computer science and electrical engineering from Politecnico di Milano, Italy. Orso’s research focuses on software testing, program analysis, and debugging, with applications in improving software reliability and security. His work includes developing automated testing tools (e.g., AutoRestTest), methodologies for scientific software engineering, and techniques for program debloating. His research has secured funding from agencies and industry partners like Google, IBM, and Microsoft, including a $11M grant from Schmidt Futures. His scientific awards include being a Distinguished Member of the ACM and IEEE Fellow. He advocates for innovative education, such as Georgia Tech’s Online Master of Science in Computer Science and his virtual software engineering course. His publications span automated testing, API analysis, and security, reflecting his commitment to advancing both academic research and practical software solutions. Orso’s leadership includes directing the Scientific Software Engineering Center, which pioneers methodologies for scientific software improvement and trains a new generation of engineers. His career blends academic excellence with impactful industry collaborations, driving advancements in software engineering practices.

Juan F. Sequedaمشاهده پروفایل

پژوهشگر

• Knowledge Graphs
• Semantic Web
• Databases
• +۴ مورد دیگر

Juan F. Sequeda is the Principal Scientist and Head of the AI Lab at data.world, with a PhD in Computer Science from the University of Texas at Austin. He co-founded Capsenta, a spin-off from his research on semantic data virtualization. His work bridges academia and industry through roles in the Property Graph Schema Working Group, LDBC Graph Query Languages task force, and W3C standards editing. Education : PhD in Computer Science (2015) from University of Texas at Austin His research focuses on Knowledge Graphs, Semantic Web, and Ontology-Based Data Integration. He develops technologies for graph data management and semantic query processing, with applications in constitutional data analysis (Constitute.org) and enterprise data virtualization (Ultrawrap, Gra.fo, G-CORE). Recent publications analyze composable graph query languages (G-CORE, 2018) and optimize SPARQL execution on relational data (Ultrawrap, 2013). Awards include NSF Graduate Fellowship (2010-2013), ISWC2014 Best Student Paper, and 2015 Institute for Applied Informatics Best Transfer Project. Scientific Awards : NSF Graduate Research Fellowship (2010-2013) 2nd Place, 2013 Semantic Web Challenge Best Student Research Paper, ISWC2014 2015 Best Transfer and Innovation Project (Institute for Applied Informatics) UT Graduate Diversity Fellowship (2008-2009) National Instruments Scholarship (2007-2008) Intel Foundation Fellowship (2007) He actively contributes to program committees (ISWC, ESWC, WWW) and workshop organization (COLD, AMW2018 General Chair). Contact: juan@data.world (work), juanfederico@gmail.com (personal).

Ruben Taelmanمشاهده پروفایل

پژوهشگر

• Decentralization
• Linked Data Publishing
• Web Querying
• +۳ مورد دیگر

Ruben Taelman is a postdoctoral researcher at IDLab , Ghent University – imec, specializing in decentralization, Linked Data publishing, and querying. He develops open-source JavaScript libraries like the Comunica engine for decentralized data access and focuses on intelligent infrastructure for data publication and retrieval. His research bridges academic and industrial perspectives, addressing challenges in decentralized knowledge graphs, policy negotiation, and data governance. Key projects include Triple Storage for versioned RDF querying and contributions to the Solid ecosystem for user-centric data control.

Changxing Dongمشاهده پروفایل

پژوهشگر

• Agent-based Modelling
• Agricultural Policy Simulation
• Ecosystem Services Modelling
• +۳ مورد دیگر

Dr. Changxing Dong is a Research Associate at the Leibniz Institute of Agricultural Development in Transition Economies (IAMO) since November 2010, specializing in agent-based modeling and agricultural policy simulation. He previously worked at Martin-Luther-University Halle-Wittenberg. Current affiliation: IAMO Department of Structural Development of Farms and Rural Areas Prior affiliation: Martin-Luther-University Halle-Wittenberg His research focuses on: Agent-based modeling of agricultural systems Ecosystem services quantification Land market dynamics and resilience Policy simulation tools (AgriPoliS) Multifunctional agricultural land use Recent publications highlight trends in: Deep reinforcement learning integration with agent-based models AgriPoliS software sustainability Spatial analysis of grazing intensity in Kazakhstan Simulation games for policy evaluation He collaborates extensively on projects like AgEnRes, AgriPoliS, MULTAGRI, and Rehwinkel Resilience, working with Alfons Balmann, Ruth Njiru, and Franziska Appel on AI-enhanced agricultural simulations.

• Software Engineering
• Intelligent Systems
• Model-Based Systems Engineering
• +۳ مورد دیگر

Rüdiger Lunde is a Professor at Technische Hochschule Ulm , currently serving as Dean of Studies for Information Systems since September 2019. He previously chaired the Examination Board for programs including INF, CTS, TI, ICS, DSM, MD, and IS from 2014 to 2019. His primary research areas include Software Engineering , Intelligent Systems , and Model-Based Systems Engineering , with a focus on automated safety analysis and technical system simulation. Current Role: Dean of Studies for Information Systems Prior Role: Chair of Examination Board (2014–2019) His research leverages the smartIflow framework for safety tasks such as Failure Mode and Effects Analysis (FMEA) and Fault Tree Analysis (FTA). He has contributed to formal verification methods using Computation Tree Logic (CTL) and explored temporal reasoning across varying time scales. Recent trends in his work include: Automated safety analysis in technical systems Integration of SysML for artifact generation Model decomposition techniques for complex systems Scientific awards: Best Paper Award at International Workshop on Applications in Information Technology (IWAIT-2015) Contact: Ruediger.Lunde@thu.de | Room: A306a | Consultation hours: By appointment via email.

Shurui Zhouمشاهده پروفایل

استادیار

• Software Engineering
• Open-Source Collaboration
• Fork-Based Development
• +۴ مورد دیگر

Shurui Zhou is an Assistant Professor at the University of Toronto , with primary appointment in the Department of Electrical & Computer Engineering and cross-appointments in the Department of Computer Science and the Department of Mechanical & Industrial Engineering . She is also affiliated with the Schwartz Reisman Institute and a member of the Data Sciences Institute . Zhou directs the FORCOLAB , focusing on enhancing collaboration in distributed software teams, especially in open-source and AI-enabled systems development. Her research integrates software engineering principles with human collaboration insights from organizational behavior, aiming to improve collaboration efficiency through tooling and interdisciplinary methods. Recent publications (2023-2025) explore LLM integration in software development , sustainability in scientific open-source communities , and collaborative challenges in computer-aided design . Education: PhD (2020) from Carnegie Mellon University's Software and Societal Systems Department , MSc from Peking University , BSc from Xi'an Jiaotong University Scientific Awards: Gordon Slemon Teaching of Design Award (2022) Grants: Collaborator on NSERC Alliance-Mitacs Accelerate Grant (2025) for LLM analysis in political data Her lab, FORCOLAB, develops tools like forks-insight.com to analyze GitHub forks and Redundant PR detection bots . Zhou organizes events like the Responsible LLM-Human Collaboration Hackathon (2024) and actively serves on conference committees including ICSE 2025 and ICSME 2024 .

Susann Müllerمشاهده پروفایل

دانشیار

• Microbial Ecology
• Flow Cytometry
• Environmental Biotechnology
• +۵ مورد دیگر

Prof. Dr. Susann Müller is Senior Scientist and Group Leader of the Flow Cytometry Working Group at the Department of Applied Microbial Ecology, Helmholtz Center for Environmental Research (UFZ) in Leipzig, Germany. Since 2011, she has held an Associate Professor position for Microbiology at Leipzig University’s Faculty of Life Sciences, bridging fundamental microbial ecology with environmental biotechnology applications through single-cell analytics. Education: 1985: Diploma in Biochemistry, Martin Luther University Halle-Wittenberg 1992: PhD, University of Halle-Wittenberg (Population dynamics of S. cerevisiae) 2003: Habilitation, Technical University Dresden (Multiparametric Cytometry) Her research pioneers microbial community flow cytometry to extract single-cell high-dimensional data, applying macroecological concepts to quantify stability metrics (resistance, resilience, displacement speed, elasticity) in engineered systems. Current focus includes bio-based circular economy initiatives: developing the carboxylate platform for sustainable chemical production and biological phosphate recovery from wastewater streams for resource valorization. Recent publications (2021-2025) reveal consistent innovation in flow cytometry applications, with emphasis on stability assessment in bioreactors, predator-prey dynamics in complex communities, and real-time monitoring of wastewater systems. She integrates ecological theory with multi-omics and data science to decode microbial assembly principles across environmental, agricultural, and industrial contexts. Professional roles: President, German Society of Cytometry (DGfZ, 2008-2010) Associate Editor, Microbiology for Cytometry Part A ISAC Educational Committee (2011-2012) and Scholars Program Committee (2013-2015) Current grants: PHOM project (SMWK InfraProNet 2024-2027): €449,160 for wastewater phosphorus recovery Z-PROJECT (DFG 2022-2025): €556,550 for bacterial biofilm analysis PROMICON (EU H2020 2021-2025): €200,000 for industrial microbiome consortia Moore Foundation (2020-2024): $23,000 for archaeal evolutionary tools Chinese Scholarship Council (2022-2026): Artificial community construction The Flow Cytometry Working Group under her leadership at UFZ develops standardized mock communities (Nature Protocols 2020), automated analysis tools (flowEMMi), and cytometric barcoding methods. It collaborates with Leipzig University, Technical University Dresden, and international partners including UC Santa Barbara, driving innovations in real-time environmental monitoring and wastewater treatment optimization.

Yong Kang Chenمشاهده پروفایل

استاد

• Applied Mechanics
• Renewable Energy Systems
• Energy Storage
• +۶ مورد دیگر

Professor Yong Kang Chen is a Professor of Applied Mechanics at the University of Hertfordshire, where he leads the Energy and Sustainable Design research group and serves as Head of the Automotive, Mechanical and Mechatronic Division in the School of Physics, Engineering & Computer Science. He holds a PhD, MSc, and BEng, and is a Chartered Engineer (CEng) with fellowships from the Institution of Mechanical Engineers (FIMechE) and Higher Education Academy (FHEA). His research focuses on applied mechanics with specialized interests in renewable energy systems, computational fluid dynamics, nanomaterials, and structural integrity. Key research themes include: Energy storage systems and flywheel technology optimization Phase change materials for building efficiency Wind turbine design for urban environments Surface engineering of polymer nano-composites Nano-fluid applications in thermal systems His publication portfolio demonstrates strong emphasis on sustainable energy solutions, with recent work exploring wind turbine shroud systems, PCM-enhanced building materials, and flywheel energy storage optimization. Nanomaterial research constitutes a significant secondary focus, particularly carbon quantum dots for optoelectronic applications. Honors include: Fellow of The Institution of Mechanical Engineers (FIMechE) Fellow of the Higher Education Academy (FHEA) He has secured over £1.3 million in research funding from EPSRC, Innovate UK, EU FP7 programs, and industrial partnerships. Notable projects include leadership roles in EU MAAT and SHELL consortiums, thermal analysis for Global Invacom Ltd, and development of structural health monitoring for wind turbine blades. He leads multiple active laboratories focusing on energy systems and advanced materials characterization.

Cormac Lucasمشاهده پروفایل

مدرس ارشد

• Mathematical Optimisation
• Stochastic Optimisation
• Asset and Liability Management (ALM)
• +۵ مورد دیگر

Dr. Cormac Lucas is a Senior Lecturer in the Department of Mathematics at Brunel University London, affiliated with the College of Engineering, Design and Physical Sciences. His work bridges mathematical optimization with practical applications in finance and operations management. Lucas specializes in Mathematical Optimisation Stochastic Optimisation Asset and Liability Management (ALM) Risk Analytics Portfolio Optimization Supply Chain Planning Under Uncertainty His research combines theoretical advancements with industrial projects, such as US Coast Guard Cutter Scheduling, Insight Investment's ALM, and Unilever's Natural Oil Buying Policy. Recent publications (2013–2024) highlight his focus on Portfolio Rebalancing with Transaction Costs Scenario Generation for Stochastic Programming Heuristic Algorithms for Cardinality Constraints Queuing Systems with Standby Servers Robust Supply Chain Planning Financial Derivative Modeling These works utilize methods like Variable Neighbourhood Search, Differential Evolution, and Lagrangian Relaxation. Email: cormac.lucas@brunel.ac.uk