جست‌وجوی استاد و پژوهشگر

João Pascoal Fariaمشاهده پروفایل

دانشیار

• Software Engineering
• Model-Based Testing
• Software Process Improvement
• +۵ مورد دیگر

João Pascoal Faria is an Associate Professor at the Department of Informatics Engineering, Faculty of Engineering of the University of Porto. He holds a PhD in Electrical and Computer Engineering and serves as Director of the Integrated Master in Informatics and Computing Engineering (MIEIC). He is a researcher at INESC TEC, coordinating the Software Engineering area, and represents FEUP and INESC TEC in national and international technical commissions for health informatics and software quality. Education: PhD in Electrical and Computer Engineering (1999), University of Porto His research focuses on model-based testing , software process improvement , and model-driven development . He explores the use of Large Language Models (LLMs) for automated test generation in REST APIs and formal verification tools like Dafny. His work emphasizes practical applications, including IDE integration and market-driven tools like SAGA, a rapid application development platform based on domain-specific languages. João has supervised multiple theses in areas such as IoT systems, sign language recognition, and low-code development. He has over 25 years of experience in education and industry collaboration, co-founding companies like Qualisoft and Strongstep. His contributions span formal verification, test automation, and software quality assurance.

• Augmented Reality
• Conceptual Modeling
• Enterprise Modeling
• +۳ مورد دیگر

Dr. Fabian Muff is a Senior Researcher at the Department of Informatics, University of Fribourg, within the Interfaculty Informatics unit. He holds a position as Oberassistent (Senior Research Assistant) specializing in Digitalization and Information Systems. His research focuses on the intersection of conceptual modeling with augmented reality (AR) and virtual reality (VR), emphasizing workflow modeling languages, AR application frameworks, and AI integration in modeling tools. He teaches courses on Requirements Engineering, Information Systems Modeling, and Project Development. Dr. Muff's work addresses challenges in hybrid modeling environments, contextual AR applications, and the limitations of large language models in conceptual modeling. His recent projects include developing the M2AR web-based modeling tool and exploring the use of ChatGPT in schema generation. He actively collaborates with academic and industry partners, publishing widely in venues like ER Conference and AAAI workshops. His contributions span technical innovations in AR modeling languages (e.g., ARWFML) and methodological advancements in combining conceptual modeling with emerging technologies. Current research explores AI-augmented visualization, context-aware AR systems, and the ethical implications of digital-physical integration in enterprise systems.

• Natural Language Processing
• Artificial Intelligence
• Information Retrieval
• +۷ مورد دیگر

Dr. Rohini K. Srihari is a full Professor and Associate Chair in the Department of Computer Science and Engineering at the University at Buffalo, The State University of New York , and also serves as an Adjunct Professor in the Department of Linguistics within the School of Engineering and Applied Sciences . Her expertise lies at the intersection of natural language processing , artificial intelligence , information retrieval , and AI for social good . Education: PhD in Computer Science, University at Buffalo, 1992 B.Math, University of Waterloo, Canada Research Interests: Dr. Srihari’s research spans a wide range of topics including conversational AI systems (especially empathetic and socially-aware chatbots), disinformation detection and attribution , multilingual text mining for low-resource languages, and predictive analytics for social unrest using heterogeneous data sources. She also explores multimedia information retrieval and AI-driven early warning systems for social and economic disruption. Recent Research Trends: Her recent publications reflect a strong focus on conversational AI and AI for social good , with applications in mental health support, misinformation mitigation, and empathetic dialogue systems. She has led interdisciplinary teams in competitions like the Alexa Prize Socialbot Grand Challenge , where her team won the bronze medal in 2021. Scientific Awards & Recognition: Bronze Prize, Alexa Prize Socialbot Grand Challenge 4 (2021) NSF Grant: Purposeful Conversational Agents based on Hierarchical Knowledge Graphs Holds two US patents in multilingual text mining and face recognition Advising & Funding: Dr. Srihari has supervised numerous PhD and Master's students across departments and has led research funded by NSF , DARPA , IARPA , and the US Government . She has also served as Chief Data Scientist at PeaceTech Lab, leading AI initiatives for conflict prevention. Research Labs & Teams: She directs the Conversational AI for Social Good research group, which focuses on building trustworthy, empathetic, and socially responsible AI systems. The group integrates deep learning, knowledge graphs, and symbolic AI to address real-world societal challenges.

Nikos Spanoudakisمشاهده پروفایل

استادیار

• Multi-Agent Systems
• Artificial Intelligence
• Agent-Oriented Software Engineering
• +۱۱ مورد دیگر

Nikos Spanoudakis is an Assistant Professor at the Department of Electronic Engineering of Hellenic Mediterranean University , with concurrent research collaboration at Technical University of Crete . He holds a PhD in Computer Science (Artificial Intelligence) from Paris Descartes University (2009, "Très Honorable"), an MSc in Organization and Administration from Technical University of Crete, and a Diploma in Computer Engineering and Informatics from University of Patras. Research Focus: Multi-Agent Systems (AOSE, Computational Argumentation), Model-Driven Engineering , Smart Buildings , IoT , and Artificial Intelligence Applications in Ambient Intelligence, Finance, and Education Key Contributions: Created ASEME Methodology and AMOLA Language for agent modeling, developed Gorgias-B argumentation framework, and designed Kouretes Statechart Editor for robotic behavior specification His recent publications reveal a strong trend in Explainable AI (2023: Explainable Argumentation as a Service ), Smart Energy Systems (2025: Engineering IoT-Based Open MAS for Large-Scale V2G/G2V ), and EdTech Innovations (2024: Role Assignment in Programming Courses ). He has received prestigious ACM Senior Member (2023) and IEEE Senior Member (2012) distinctions, along with teaching recognition (2021) from Technical University of Crete. Academic Leadership: Serves as Editor for Springer Nature's Computer Science journal and has reviewed for 15+ top-tier publications including IEEE Intelligent Systems and Journal of Web Semantics Conference Involvement: Program Committee Member for 20+ international conferences (IJCAI, ECAI, AAMAS, AAAI) and organizer of multiple European Agent Systems Summer Schools

• Mobile Computing
• Autonomous Systems
• Middleware Design
• +۳ مورد دیگر

Karl A. Morris is an Associate Professor of Computer Science at Temple University, specializing in Mobile Computing and Autonomous Systems. His research focuses on domain-specific middleware, smart home sensor networks, and predictive activity modeling. He holds a faculty position within Temple University's Department of Computer Science without any part-time designation. Research interests center on advancing middleware architectures that enable adaptive and domain-specific computing solutions. His work intersects software engineering, IoT integration, and energy systems through innovations in model-driven development and runtime synthesis. Publications between 2012-2020 demonstrate a consistent focus on model-driven middleware, smart grid technologies, and predictive systems. While no awards or grants are explicitly mentioned in the provided texts, his work reflects contributions to autonomous systems and smart environment technologies. No advising relationships or laboratory affiliations are documented in the available information.

Melek Somaiمشاهده پروفایل

استادیار

• Health Informatics
• Data Engineering
• Public Health
• +۴ مورد دیگر

Dr. Melek Somai is an Assistant Professor of Medicine at the Medical College of Wisconsin (MCW). His expertise lies in health informatics, data engineering, and public health, with a focus on leveraging technology to improve healthcare provision and global health outcomes. He holds an MD and MPH, and has held roles such as former Fulbright Scholar and Associate Director at the Centre for Cryptocurrency Research and Engineering, exploring blockchain in healthcare. He also founded and leads the Tunisian Center for Public Health. Education: MD Degree MPH Degree Research Interests: Impact of information technology and data science on healthcare Telemedicine adoption and disparities AI applications in medicine and neurology Global health challenges using data science His research trends span telemedicine effectiveness, AI-driven healthcare solutions, and addressing health disparities through digital tools. Notable themes include the integration of blockchain in healthcare systems and the use of causal inference in drug repurposing for neurodegenerative diseases. Awards: Fulbright Scholar Dr. Somai's work includes global health initiatives, such as his role in the Tunisian Center for Public Health, and projects in MENA region health analysis. He has contributed to clinical trials and systematic reviews on neurology interventions and telemedicine strategies.

• Software-Defined Networking
• Data Plane Programmability
• Data Plane Security
• +۶ مورد دیگر

Enio Kaljic is an Assistant Professor in the Department of Telecommunications at the Faculty of Electrical Engineering, University of Sarajevo. He holds a PhD in Telecommunication Engineering (2019) from the same institution, following a Master's (2010) and Bachelor's (2008). His career includes roles as a Teaching Assistant (2010–2014) and Senior Teaching Assistant (2014–2019) at the same department. Education: Bachelor's in Telecommunication Engineering, Faculty of Electrical Engineering, University of Sarajevo (2008) Master's in Telecommunication Engineering, Faculty of Electrical Engineering, University of Sarajevo (2010) PhD in Telecommunication Engineering, Faculty of Electrical Engineering, University of Sarajevo (2019) Research Interests: Kaljic focuses on advancing next-generation networks through software-defined networking (SDN), data plane programmability, and security. His work includes reconfigurable communication systems, FPGA-based hardware-software co-design, and quantum cryptography integration in 5G systems. Key areas include: Quantum Cryptography for 5G/6G Networks Data Plane Flexibility and Security Hardware-Accelerated Network Solutions Blockchain Applications in Telecommunications Notable Projects & Grants: Leading the NATO-funded Quantum Cybersecurity in 5G Networks (QUANTUM5) (2021–2024) Developing blockchain-based D2D communication protocols for 6G networks (2022) EU-funded BENEFIT project (2017–2020) to modernize telecommunications education Awards: Best Paper Award at the Seventh International Conference on Networking and Services (ICNS’11) Labs & Infrastructure: Active in the Department’s Reconfigurable Radio Communication Systems Lab , contributing to FPGA-based hardware-software co-design and SDN experimentation. Collaborates on multidisciplinary telecom labs funded by federal and cantonal ministries.

Zheng Zhangمشاهده پروفایل

استاد

• Quantum Computing
• Compiler Design
• Parallel Computing
• +۳ مورد دیگر

Zheng Zhang is a Professor in the Department of Computer Science at Rutgers University, School of Arts and Sciences. He holds academic expertise in compiler design, quantum computing, and parallel computing. Previously, he earned a Ph.D. in Computer Science from the College of William and Mary, an M.S. in Computational Operations Research from the same institution, and a B.S. in Electronic Engineering from Shanghai Jiaotong University. His research focuses on advancing compilation techniques for emerging architectures, including quantum computers, GPUs, and multi-core processors. Key projects include optimizing quantum circuit compilation for NISQ devices and enhancing qubit reuse through dynamic circuits. He has received NSF grants and contributed to the ISCA Distinguished Artifact Award (2024). Teaching: Currently instructs CS314 (Principles of Programming Languages). Research groups include Computer and Networked Systems and Programming Languages & Compilers. Recent activities include publications on VQE compilation and leadership in ASPLOS, PLDI, and MICRO conferences. Grants: NSF Grant, NSF XPS Grant Labs/Teams: Quantum Compilation Research Group Notable Achievement: Erdős Number 2

Shahab Abdullaمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Bioinformatics
• Control Systems
• +۹ مورد دیگر

Dr. Shahab Abdulla is an Associate Professor at the University of Southern Queensland (UniSQ), affiliated with UniSQ College. His interdisciplinary research focuses on Artificial Intelligence, Bioinformatics, Control Systems, and Signal Processing. He holds a PhD from USQ and has over 25 publications in Q1 journals, primarily in Computer Science and Engineering domains. He leads the Advanced Data Analytics Modelling Research Simulation Group and supervises numerous PhD/Master’s students. Education: BSc in Mathematics from University of Technology (Baghdad, 1992) MSc in Mathematics from University of Technology (Baghdad, 1996) PhD in Engineering from University of Southern Queensland (2013) Research Interests: Dr. Abdulla specializes in AI models for healthcare, energy, and biomedical applications. His work includes deep learning, neural networks, and signal processing techniques. He collaborates globally with researchers in the Middle East, Europe, and Asia, delivering over 30 seminars. His research has been cited over 200 times in the last three years. Grants & Awards: While specific awards are not listed, his leadership has been recognized through institutional and professional acknowledgments. He has secured grants for projects like AI-driven coastal erosion modeling and quantum-resistant cryptography. Supervision: Currently supervising 5 PhD/Master’s students and has examined numerous theses. His supervision spans topics like AI in healthcare, cybersecurity, and sustainable agriculture. Labs & Teams: Leads the Advanced Data Analytics Modelling Research Group, focusing on interdisciplinary AI applications. Collaborates with industry partners on projects like smart solar trackers and flood risk prediction systems.

Adina Svenja Wagnerمشاهده پروفایل

پژوهشگر

• Neuroinformatics
• Research Software Engineering
• Artificial Intelligence
• +۴ مورد دیگر

Dr. Adina Svenja Wagner is a researcher at the Institute of Neuroscience and Medicine (INM-7) at the Research Center Jülich GmbH, Germany. Her work focuses on neuroinformatics , research software engineering , and research data management (RDM) . She is a core developer of the DataLad tool, which enables FAIR and reproducible data management in computational neuroscience and beyond. She teaches best practices for open science, reproducibility, and software tools to foster transparent scientific practices. Her roles include coordinating institute activities in AI, RSE, and RDM. Her research interests span open science infrastructure , reproducible workflows , and collaborative data science . Key contributions include advancing DataLad for large-scale datasets, developing frameworks for reproducibility in biomedical research, and promoting inclusive open science practices through initiatives like OHBM Brainhack. Her recent work emphasizes scalable solutions for big data challenges, FAIR principles in neuroscience, and interdisciplinary collaboration. She actively engages in conferences and community-driven projects to advance open science and computational reproducibility.

Myra Cohenمشاهده پروفایل

استاد

• Software Engineering
• Search-Based Software Engineering
• Highly-Configurable Software Testing
• +۵ مورد دیگر

Myra B. Cohen is a Professor and the Lanh and Oanh Nguyen Chair in Software Engineering at Iowa State University's Department of Computer Science, part of the College of Engineering. She previously held the Susan J. Rosowski Professorship at the University of Nebraska-Lincoln. Her research focuses on software testing of highly-configurable systems, search-based software engineering, and applications in synthetic biology and bioinformatics. Cohen holds a Ph.D. from the University of Auckland, M.S. from the University of Vermont, and B.S. in Agriculture from Cornell University. Education: Ph.D., Computer Science, University of Auckland, 2004 M.S., Computer Science, University of Vermont, 1999 B.S., School of Agriculture and Life Sciences, Cornell University Research Interests: Testing of cyber-physical systems and scientific software Combinatorial design applications in software assurance Synergies between software engineering and synthetic biology Configuration-aware testing for safety-critical systems Recent Projects: OPERA: Rural broadband solutions through open-source ecosystems Dependable AI-driven computational biology tools for KBase Blockchain fault tolerance modeling and measurement Self-adaptive mechanisms for unmanned aerial systems Awards: NSF CAREER Award AFOSR Young Investigator Award ACM Distinguished Scientist ASE Conference Fellow Leadership Roles: Program Co-Chair: ESEC/FSE 2020, ISSTA 2025 General Chair: ASE 2015 Steering Committee: ASE, ESEC/FSE, ISSTA Labs & Affiliations: Director: LaVA-OPs (Variability-Aware Assurance Lab) Center for Wireless, Communities and Innovation (WiCI) Bioinformatics & Computational Biology Graduate Program

Arcot Rajasekarمشاهده پروفایل

استاد

• Data Grids
• Digital Libraries
• Persistent Archives
• +۴ مورد دیگر

Arcot Rajasekar is a Professor at the University of North Carolina School of Information and Library Science (SILS) and Lead Faculty in the Master of Applied Data Science (MADS) program. He also serves as a Chief Scientist at RENCI. His research focuses on data grids, digital libraries, persistent archives, and artificial intelligence, with over 150 publications in these areas. Rajasekar has led major projects like NeuroBridge, Datanet Federation Consortium, and DataBridge, advancing reproducible research and data federation. His work on the iRODS middleware system is foundational for policy-based data management in distributed environments. Previously at the San Diego Supercomputer Center (SDSC), he spearheaded the Data Grids Technology group, developing systems like the Storage Resource Broker (SRB) and iRODS. His current projects address challenges in neuroscience data discovery, exposomics, and FAIR data principles. Funded by NSF, NIH, and federal agencies, his work emphasizes scalable data infrastructure and community-driven cyberinfrastructure solutions. Rajasekar’s educational contributions include pioneering data science curricula and training programs, such as CyberTraining initiatives. He is a key contributor to standards like ISO 16363 and has shaped policies for trustworthy digital repositories. His expertise bridges computer science, library science, and domain-specific data management, making him a leader in interdisciplinary data-driven research.

Alexis Palmerمشاهده پروفایل

دانشیار

• Computational Linguistics
• Low-Resource Language Processing
• Language Documentation
• +۴ مورد دیگر

Dr. Alexis Palmer is an Associate Professor in the Department of Linguistics at the University of Colorado. She specializes in computational discourse and semantics, computational linguistics for low-resource languages, and automated detection of offensive language in social media. Previously, she served as an Assistant Professor at the University of North Texas and held postdoctoral positions in Germany. She leads the NSF-funded FOLTA project (From One Language to Another), focusing on cross-linguistic methods for low-resource language processing tools. Her work emphasizes language documentation accessibility and pedagogical material development for endangered languages. Education: PhD in Linguistics from the University of Texas at Austin (2009). Research Interests: Computational methods for endangered languages Low-resource NLP systems Social media discourse analysis Universal Meaning Representation (UMR) frameworks Linguistic documentation infrastructure Notable Achievements: Recipient of NSF CAREER Grant Pioneered the OLEA tool for offensive language analysis Developed the BELT initiative for endangered language technology Grants & Projects: FOLTA Project (NSF-funded) National Decade of Indigenous Languages initiatives Collaborative research on UMR infrastructure Labs/Teams: Directs the Computational Linguistics Lab at CU, collaborating with global partners on language documentation and revitalization efforts.

• Knowledge Graphs
• Natural Language Processing
• Artificial Intelligence
• +۳ مورد دیگر

Antonello Meloni is a Researcher affiliated with the Faculty of Life Sciences and Technology at Wrocław University of Environmental and Life Sciences. His work focuses on advancing knowledge graphs, natural language processing (NLP), and their integration into conversational agents for scholarly and industrial applications. He collaborates extensively with experts in artificial intelligence, semantic web technologies, and data science. Key research interests include: Developing tools for text-to-KG conversion (e.g., AMR2FRED, Text2AMR2FRED) Enhancing conversational agents with knowledge graphs for applications like job market analysis and scientific QA Leveraging large language models (LLMs) for query generation and scientific analysis Designing human-centric AI architectures for Industry 5.0 Recent publications emphasize LLMs' role in scientific question answering, knowledge graph construction, and interdisciplinary applications in music heritage and labor markets. His work bridges theoretical advancements with practical tools for academia and industry.

• Empirical Teacher Education Research
• Learning Opportunities in Teacher Training
• Career-Related Beliefs of Teacher Students
• +۳ مورد دیگر

Dr. Dennis Sommer is a Researcher in the Department of Didactics of Social Sciences and Mathematics/Natural Sciences at the University of Hamburg's Faculty of Education. His work focuses on empirical research in teacher education, including studies on learning opportunities, knowledge acquisition, career-related beliefs of teacher trainees, and international comparative analyses of mathematics instruction. He completed his doctoral degree (Dr. phil.) in January 2024 at the same institution, following prior roles as a research assistant in evaluation projects ProfaLe2 (2019–2023) and ProfaLe (2017–2018). His research emphasizes teacher development, with special attention to inclusive education and the integration of digital media in teaching. Education: Dennis Sommer studied for his teaching qualification at special schools (Unterrichtsfach: Mathematics, Förderschwerpunkte: mental and physical development) at the University of Hamburg from 2005 to 2013. He passed his First State Examination for Special Education Teaching in December 2013. His academic career includes a research fellowship (2014–2016) and continuous research roles at the university since 2017. Research Interests: His primary areas include empirical studies on teacher education, learning opportunities in teacher training programs, the professional identity formation of preservice teachers, and the role of language in mathematics instruction. He also investigates international comparative studies to understand variations in mathematics teaching methodologies. Publications: His recent work highlights trends in teacher noticing, professional development interventions, and longitudinal analyses of teacher trainees' academic growth. Key themes span inclusive mathematics education, digital media integration, and curriculum validity in teacher education programs. Scientific Awards: No awards explicitly mentioned in the provided text. Advising & Grants: While no formal advisees are listed, Sommer has been actively involved in research projects evaluating teacher education programs (ProfaLe and ProfaLe2). His contributions include designing studies, analyzing data, and co-authoring publications on educational effectiveness. He collaborates with institutions like the FDZ-DZHW and ZPID for data collection and questionnaire development. Labs/Teams: Based in the Department of Mathematics Didactics within the Faculty of Education, he contributes to interdisciplinary teams studying teacher education, including collaborations with Professors G. Kaiser, J. Doll, and J. König. His research aligns with the university's focus on innovative educational approaches and academic career pathways.