جست‌وجوی استاد و پژوهشگر

• Sustainable Waste Conversion
• Thermochemical Conversion
• Biochemical Conversion
• +۵ مورد دیگر

Dr. Tosin Somorin is a Chancellor's Fellow/Lecturer in Energy at the University of Strathclyde's Department of Chemical and Process Engineering. His research focuses on sustainable waste conversion, energy systems, and biogenic carbon sequestration, contributing to UN SDGs 7, 11, and 13. He holds a PhD in Gas Turbine Engineering from Cranfield University and has extensive experience in environmental consulting and interdisciplinary research. Education: PhD in Gas Turbine Engineering, Cranfield University (2011–2015) BSc in Microbiology and Biotechnology, University of Hertfordshire (2009–2010) Research Interests: Sustainable waste-to-energy processes, thermochemical/biochemical conversion, circular economy strategies, and environmental impact assessment. Specific areas include gasification, anaerobic digestion, and engineered biochar for carbon capture. Teaching: Contributes to modules such as CP538 (Environmental Engineering for Industrial Challenges), CP407 (Chemical Engineering Design), and 18530 (Chemical Engineering Project). Supervises students in wastewater treatment, resource recovery, and sustainable agri-food systems. Projects: Principal Investigator: 'Geo-Project - Next Generation Wastewater' (2023–2024) Co-Investigator: EU Horizon-funded 'REFINE' project (2023–2027) for solar fuels Awards: 2023 Strathclyde Medal for the 'Sustainable Impact by Design' Team. Labs/Teams: Leads research groups focused on experimental design, process modeling, and feasibility studies for innovative energy technologies.

• Database Systems
• Healthcare Information Systems
• Artificial Intelligence
• +۵ مورد دیگر

Carlo Combi is a Full Professor at the Department of Computer Science, University of Verona. He serves as Department Director and holds roles in various academic committees, including the Faculty Board of PhD in Computer Science and the Computer Science Teaching Committee. His research focuses on databases, healthcare information systems, temporal data mining, and business process management. He leads the STARS laboratory and has contributed to projects like PREPARE (prostate cancer evaluation) and EDIPO (neuroimaging genetics). His teaching spans courses on biomedical databases, software engineering, and Python programming. Combi's work integrates ethical considerations into process models and addresses challenges in healthcare workflows, temporal analytics, and AI applications in medicine. Education: Not explicitly listed in provided texts. Research Projects: Includes 30+ projects since 2008, emphasizing healthcare informatics, temporal systems, and data warehousing. Labs/Teams: STARS (Semistructured Temporal clinical Geographical Systems) and collaborations with CBMC (Computational Biomedicine Center). Grants: Multiple national/international grants, including funding for temporal data mining and healthcare process modeling. Awards: None explicitly mentioned, though his leadership roles and extensive publications highlight academic recognition. His research bridges clinical processes, temporal databases, and AI, with applications in acute kidney injury prediction, BPMN extensions for healthcare, and explainable AI in medical systems. Combi actively contributes to open-source solutions for clinical data analysis and integrates ethical frameworks into process management.

Raja Sooriamurthiمشاهده پروفایل

استاد آموزشی

• Artificial Intelligence
• Case-Based Reasoning
• Knowledge Management
• +۱۴ مورد دیگر

Dr. Raja Sooriamurthi is a Teaching Professor and Program Director of the Decision Analytics and Systems minor at the Information Systems Program of Carnegie Mellon University's Heinz College. His teaching and research focus on artificial intelligence, cognitive science, and educational pedagogy. Teaching Interests: Data science, database systems, big data, puzzle-based learning, system development lifecycle Research Interests: Case-based reasoning, knowledge management, distributed reasoning, machine learning, software development pedagogy Dr. Sooriamurthi leads curriculum innovation in information systems education, particularly through the IS2020 competency model . His work bridges AI applications with educational technologies, emphasizing authentic learning and generative AI tools for skill development. Key publication themes include: SQL instruction using AI-driven assessment Information systems curriculum design Puzzle-based learning for critical thinking Service-learning in leadership development Integration of NoSQL databases in education

• Information Security and Reliability
• Cyber Security
• Artificial Intelligence
• +۱۳ مورد دیگر

Prof. Dr. Murat Dener is a full Professor in the Department of Information Security Engineering at the Institute of Science and Technology, Gazi University, where he also serves as the Head of Department since 2020. He has been continuously affiliated with Gazi University since 2005, progressing from Research Assistant to full Professor in 2023. He is also a Member of the Gazi University Rectorate Quality Commission and a Researcher at the High Performance Computational Neuroscience Laboratory at the Neuroscience and Neurotechnology Excellence Joint Application and Research Center. His educational background includes a BSc, MSc, and PhD, all from Gazi University, with his doctoral studies partially conducted at Georgia Tech University, USA. He completed English language training at Georgia State University and has participated in multiple EU-funded international projects across Greece, Portugal, Belgium, Germany, and Kazakhstan. His research focuses on cutting-edge areas such as cyber security, artificial intelligence, internet of things, blockchain, big data analytics, and computational neuroscience. His work bridges theoretical research with practical innovation, exemplified by the development of Turkey’s first domestically produced wireless sensor node, "WiSeN", through a company he founded in 2014. The analysis of his recent publications reveals a strong trend toward integrating AI and deep learning into cyber defense, secure IoT systems, blockchain applications, and computational neuroscience. His work emphasizes real-world applicability, security, scalability, and innovation in smart city and critical infrastructure technologies. Academic Achievement Award, Georgia State University (2011) Second Prize, Gazi University Business Idea Competition (2014) Turkish First Prize, Junior Chamber International 'Ten Successful Young People of Turkey' (2014) World Top 20 Finalist, Junior Chamber International (Japan, 2014) First Prize, Young Entrepreneurship Category, Liyakat Association (2015) First Prize, Smart Buildings and Environment, TET R&D Project Market (2018) Prof. Dener actively advises master’s and doctoral students and has led numerous national and international research projects, including EU-funded collaborations. His leadership extends to editorial and peer-review roles in multiple journals. He is deeply involved in academic quality improvement as a member of the Rectorate Quality Commission and leads advanced research in computational neuroscience using high-performance computing platforms. He founded a technology company in 2014 under the Technopreneurship Capital Support Program, producing the first Turkish-made wireless sensor node (WiSeN), which led to several national innovation awards. His lab work centers on the High Performance Computational Neuroscience Laboratory, where he contributes to neurotechnology research, combining AI and neuroscience for brain-computer interface applications.

• Bioinformatics
• Machine Learning
• Computational Biology
• +۷ مورد دیگر

Jan Baumbach is a Professor in the Department of Mathematics and Computer Science at the University of Southern Denmark (SDU), where he leads cutting-edge research at the intersection of computer science, bioinformatics, and biomedical data science. His work integrates machine learning, network biology, and systems medicine to address complex challenges in health and disease. His research interests include Bioinformatics , Machine Learning , Gene Regulatory Networks , Drug Repositioning , Biomedical AI , and Computational Biology . He applies advanced computational methods to analyze large-scale biological data, with applications in cancer, metabolic diseases, dermatology, and infectious diseases. The 15 most recent publications highlight a strong trend toward biomedical artificial intelligence , network-based analysis , and translational bioinformatics . His work spans from foundational machine learning in healthcare to clinical applications in osteoarthritis, bone regeneration, and skin biology. A consistent theme is the integration of multi-omics data and the development of privacy-preserving federated learning frameworks for distributed healthcare systems. Jan Baumbach has been principal investigator on several major research projects, including: EU Horizon2020: Privacy-preserving federated machine learning in distributed healthcare Danish National Research Foundation: ATLAS Center for Functional Genomics of Tissue Plasticity Villum Foundation: Big Data Bioinformatics (Young Investigator Programme) Carlsberg Foundation: Computational profiling of bacterial volatile metabolomes (ProVol) He has supervised 13 PhD students and has an extensive publication record of 262 works. His research has been featured in high-profile media outlets, emphasizing the societal impact of drug repositioning and AI in medicine. He leads a research group focused on computational systems biology , with strong collaborations across Europe in the fields of genomics, metabolomics, and clinical data science.

Oliver Karrasمشاهده پروفایل

مدرس

• Data Science
• Artificial Intelligence
• Knowledge Representation
• +۴ مورد دیگر

Oliver Karras is a researcher, data scientist, and lecturer at the Data Science and Digital Libraries research group at TIB – Leibniz Information Centre for Science and Technology. He holds a BSc, MSc, and PhD in Computer Science from Leibniz University Hannover. His research focuses on FAIR scientific knowledge, Open Research Knowledge Graph (ORKG), and national research infrastructure projects like NFDI-4Ing and FAIR-DS. He is a member of the German Informatics Society (GI) and spokesperson of the Requirements Engineering (RE) group, contributing to conferences and journals as a reviewer. Previously, he was a research associate and PhD student in the Software Engineering group at Leibniz University, leading the DFG project ViViReq on video integration in requirements engineering. His research interests include Data Science, AI, Knowledge Representation, Software Engineering, Requirements Engineering, Empirical Research, and Open Science. He has published over 60 papers in these areas, with notable contributions to knowledge graphs, FAIR data, and reproducibility frameworks. His work emphasizes organizing scientific knowledge for accessibility and collaboration across disciplines. He is actively involved in initiatives like the ORKG, promoting sustainable literature reviews and open science practices. His professional contributions extend to tool development, such as OntoAligner for ontology alignment and SciKGTeX for semantic annotation in LaTeX. Oliver Karras collaborates with institutions like Leibniz University, contributing to the NFDI consortium and energy research projects. His expertise bridges technical innovation and academic rigor, addressing challenges in knowledge management and reproducibility. His current roles include advancing TIB’s research infrastructure and fostering interdisciplinary collaboration through knowledge graph applications.

• Smart-grid cyber-security
• Computer networks
• Artificial intelligence methods
• +۴ مورد دیگر

Robert Czechowski, PhD , is an Assistant Professor at the Faculty of Information and Communication Technology , Wrocław University of Science and Technology , Poland, stationed in the Department of Telecommunications and Teleinformatics . His office is located in building D-20, room 421, and he holds regular consultation hours on Tuesdays 14:00–15:00, Wednesdays 15:00–17:00, and Thursdays 13:00–15:00. His research portfolio is centred on securing the next generation of electrical power systems. Core interests include: Cyber-security architectures for smart grids and micro-grids Artificial-intelligence-driven intrusion detection and prevention systems (IDS/IPS) Network protocols and time-synchronisation security in SCADA environments Simulation of information flow in complex, dynamically reconfigurable networks IPv4/IPv6 network design and security policy enforcement in power-system automation Database and expert-system solutions for real-time energy-management and fraud detection Between 2014 and 2019 he authored or co-authored more than fifteen peer-reviewed works. The publications reveal a clear longitudinal trend: early work established foundational security policies and good-practice guidelines, while later studies pivot toward advanced AI/ML techniques for anomaly detection and risk quantification in smart-metering infrastructures. A recurring theme is the integration of communication-protocol security (IEC 61850, PLC, IPv4/IPv6) with higher-level cyber-physical risk governance. Scientific recognitions: None explicitly mentioned in the supplied text. Advising & Grant activities: The provided material does not list specific doctoral or master’s students, nor does it enumerate funded projects. Laboratories & Teams: He conducts research within the Department of Telecommunications and Teleinformatics, leveraging university laboratories and the wider ICT Faculty infrastructure, although no dedicated lab name is specified.

Olga Ristićمشاهده پروفایل

دانشیار

• Software Testing
• Information Technologies
• Modeling and Simulation
• +۵ مورد دیگر

Olga Ristić is an Associate Professor at the Department of Information Technologies, Faculty of Technical Sciences Čačak, University of Kragujevac, Serbia. Her office is located at Svetog Save 65, Čačak (Office No. 237), and she can be contacted via phone (+381 32 302-714) or email. She holds a Diploma in Technics and Informatics (1997), a Master's in Technical Sciences (2006), and a PhD in Information Technologies and Systems (2016), all from the University of Kragujevac. Her research focuses on: Software testing methodologies and quality assurance Modeling and simulation of complex systems Optimization algorithms for industrial applications Educational technology and IT pedagogy Mobile applications and information systems reliability Her recent publications emphasize interdisciplinary approaches, with strong trends in machine learning applications for cybersecurity, optimization in Industry 4.0 systems, educational technology innovations, and sustainable energy management. She frequently employs simulation techniques and algorithm development across diverse domains. She has led or contributed to eight Ministry of Science-funded projects: Curriculum development for IT education programs Software quality assurance frameworks Industrial system reliability modeling Food supply chain optimization Deregulated energy distribution systems At the Faculty of Technical Sciences, she coordinates courses across all academic levels, including Data Structures, Software Testing, Mobile Applications, and Quality of Software. She also conducts professional development seminars on database design and ISTQB certification.

Gustavo Adolfo Junipero Rodriguez-Riveraمشاهده پروفایل

عضو هیئت علمی

• Operating Systems
• Computer Networks
• Memory Management
• +۱۱ مورد دیگر

Gustavo Rodriguez-Rivera is an Associate Teaching Professor in the Department of Computer Science at Purdue University, part of the School of Science. He joined the department in 2000 and holds a Ph.D. in Computer Science from Purdue University (1998), an M.S. in Electrical Engineering from ITESM Campus Monterrey (1990), and a B.S. in Electrical Engineering from the same institution (1985). His research focuses on Operating Systems, Computer Networks, Memory Management, Embedded Systems, Real-Time Systems, and broader areas like Numerical Analysis and Artificial Intelligence. Dr. Rodriguez-Rivera has received multiple teaching awards, including the ACM Faculty Award in Computer Science (2020, 2023) and Best Teacher in the School of Science (2014, 2016). His work spans software engineering education, structural health monitoring for wind turbines, and memory management algorithms. Notable publications include studies on garbage collection techniques, real-time project tracking in programming courses, and vibro-acoustic modulation for turbine blade inspection. He has advised numerous projects and contributed to grants such as the NSF-funded work on wind turbine blade monitoring. His academic contributions also include developing secure programming course modules and tools for interactive debugging systems.

Charles A. Birnbaumمشاهده پروفایل

مدرس

• Landscape Architecture
• Urban Design
• Historic Preservation
• +۳ مورد دیگر

Charles A. Birnbaum is a Lecturer in Landscape Architecture at Harvard University’s Graduate School of Design (GSD). He serves as President, CEO, and founder of The Cultural Landscape Foundation (TCLF), dedicated to preserving designed landscapes. Previously, he worked with the National Park Service Historic Landscape Initiative (HLI) and held roles at Ohio State University and Columbia University. His expertise spans landscape preservation, urban design, and cultural heritage management. Education & Fellowships: Loeb Fellow at Harvard GSD Research Interests: Focuses on modern and historic landscapes, including postwar urban development, cultural heritage documentation, and preservation strategies for designed environments. Projects like the 'What’s Out There' database and the Cornelia Hahn Oberlander Prize highlight his commitment to global landscape advocacy. Awards: ASLA Medal (highest award from American Society of Landscape Architects) Rome Prize in Historic Preservation Multiple medals and fellowships from professional organizations Advising & Grants: Active in academic mentorship and has directed major preservation initiatives. His work bridges academia, practice, and public engagement through writings and media contributions, including articles for The Huffington Post. Labs/Teams: Leads TCLF, collaborating with institutions globally to safeguard cultural landscapes through education, advocacy, and digital platforms.

• Environmental Sociology
• Natural Resource Management
• Coastal Marine Resources
• +۵ مورد دیگر

Dr. Tom Brewer is a Senior Research Fellow at the Australian National Centre for Ocean Resources and Security (ANCORS), University of Wollongong. His work focuses on the intersection of society and natural environments, particularly coastal marine resources in the Pacific region. He holds expertise in environmental sociology, statistics, ecology, and socioeconomics of natural resource management. Currently, he leads projects on Pacific food trade databases and fisheries management, funded by organizations like WorldFish and ACIAR. He supervises four PhD students and contributes to governance initiatives like the Research Data Management Working Group. His research interests include food systems governance, socioenvironmental dynamics, and policy analysis, with a regional emphasis on the Pacific Islands. Recent work addresses food security, trade implications, and marine conservation impacts. He emphasizes actionable data for policy, exemplified by his Pacific Food Trade Database. Brewer’s grants span food system resilience, resource management, and cross-border collaboration.

Norbert Ritterمشاهده پروفایل

استاد

• Databases and Information Systems
• New Database Technology (NoSQL)
• Scalable Cloud Data Management
• +۹ مورد دیگر

Prof. Norbert Ritter is the Dean of the Faculty of Mathematics, Computer Science and Natural Sciences (MIN) at the University of Hamburg since August 2022. He holds a full professorship in the Department of Informatics, leading the Databases and Information Systems group. Previously, he served as an associate professor (2002–2005) and assistant professor (1998–2002) at the Technical University of Kaiserslautern and the University of Hamburg. His research focuses on advanced database technologies, including NoSQL systems, scalable cloud data management, big data analytics, and information integration. Key areas include service-oriented computing, federated database systems, and transaction management. He has authored over 149 publications, with recent work emphasizing polyglot data stores, spatio-temporal data processing, and web performance optimization. Education: M.Sc. (1991), Ph.D. (1997) in Computer Science from the University of Kaiserslautern Professional Activities: Dean of MIN Faculty (since 2022), former head of DBIS group Labs/Teams: Leads the Databases and Information Systems research group His advising record includes over 274 student theses, spanning PhD and master's projects in database design, data integration, and web performance engineering. Collaborative projects include Beaconnect (continuous web A/B testing) and Compaz (shared dictionary compression).

Shiyong Luمشاهده پروفایل

استاد

• Big Data Workflows
• Cloud Computing
• Scientific Workflows
• +۳ مورد دیگر

Dr. Shiyong Lu is Professor of Computer Science at Wayne State University and Director of the Big Data Research Laboratory. He holds a PhD from State University of New York at Stony Brook and has published over 140 papers in venues including IEEE Transactions on Services Computing and IEEE Transactions on Knowledge and Data Engineering. Research focuses on: Architecture of big data workflow systems Secure execution in cloud environments Optimization algorithms for distributed computing Provenance management for scientific workflows Recent work demonstrates strong emphasis on secure workflow execution, with 80% of last 15 publications addressing trusted computing environments. Leads NSF-funded DATAVIEW project for cloud-based big data analytics. Awarded IEEE TCSVC Outstanding Service Award (2023). Teaches core courses in Database Management Systems and Data Modeling. Supervised 17 PhD graduates, 10 of whom hold faculty positions. Editorial board member for International Journal of Big Data and International Journal of Big Data Intelligence.

Vic Mattaمشاهده پروفایل

استاد

• Consumer Behavior
• Pedagogy
• Technology Adoption
• +۳ مورد دیگر

Vic Matta is a Professor of Analytics & Information Systems at Ohio University's College of Business. He holds a Ph.D. in Industrial Systems (2008) and an M.S. from Ohio University. His research focuses on consumer behavior, pedagogy, user motivation, and technology adoption. He teaches courses in business analytics, information systems, and strategic IT use, and has received multiple teaching awards including the COB Faculty Excellence in Professional Activity & Service (2020) and Senior Teaching Fellow at the Bruning Academy. His professional experience includes IT project management, systems administration, and database administration. Dr. Matta's research spans educational technology innovations, such as plagiarism prevention in Excel assignments and automated grading systems. He has published extensively on topics like team formation algorithms, digital detox behaviors, and RFID adoption in supply chains. He serves as Industry Editor and Co-Editor for the Journal of IT & Case Application Research. His work emphasizes practical applications of technology in education and industry, with a focus on improving learning outcomes and organizational effectiveness.

• Machine Learning
• Business Analytics
• Natural Language Processing
• +۴ مورد دیگر

Subhra Patra is Clinical Assistant Professor in Information Systems at UT Arlington. PhD in Computer Science from Homi Bhabha National Institute (2013) with thesis on computational intelligence for nuclear reactors. Applies machine learning to diverse domains including sentiment analysis, economic forecasting, and environmental modeling. Educational background: Ph.D. Computer Science, Homi Bhabha National Institute (2013) M.S. Electronic Science, Berhampur University (2006) M.S. Physics, Khallikote Unitary University (2004) Research spans business analytics applications and computational methods, including NLP for fake news detection, time series forecasting, and neural network architectures. Recent work focuses on operationalizing analytics in business contexts. Teaching responsibilities include Python programming, database systems, and data visualization. Previously held positions at VIT Chennai and KL University.