جستجوی استاد راهنمای دانشگاهی

João Araújoمشاهده پروفایل

دانشیار

• Requirements Engineering
• Advanced Modularity
• Model-Driven Engineering
• +۱ مورد دیگر

João Araújo serves as an Associate Professor in the Department of Informatics at NOVA University Lisbon's Faculty of Science and Technology and is a full member of the NOVA LINCS research center. His academic background includes: Master of Science in Software Engineering from Universidade Federal de Pernambuco PhD in Software Engineering from Lancaster University, UK His research concentrates on Requirements Engineering, Advanced Modularity, Model-Driven Engineering, and Software Product Lines, focusing on improving software development through innovative modularity approaches and model-driven solutions. This work bridges theoretical frameworks with practical applications in complex software systems. He has secured significant research funding through projects including: AMPLE (European Union) Aspects for Space Domain (European Space Agency) SOFTAS and BATIC3S (FCT/MCTES, Portugal) Professor Araújo actively shapes his field through leadership in academic communities, having co-founded the Early Aspects workshop series (running since 2002 at AOSD, OOPSLA, SPLC, and ICSE) and launched the Model-Driven Requirements Engineering (MoDRE) workshop series at the RE conference. He has organized major conferences including RE, MoDELS, ICSE, ECOOP, and AOSD.

Joaquín Nicolás Rosمشاهده پروفایل

استاد

• Computer Science
• Software Engineering
• Information Systems Security
• +۳ مورد دیگر

Joaquín Nicolás Ros is a Professor at the Faculty of Informatics , Universidad de Murcia , specializing in Computer Science and Systems Engineering . His research focuses on Software Engineering , particularly in Formal Methods , Information Systems Security , and Control Theory applied to software systems. His work includes formal validation of atomic resolution microscope control systems and requirements reuse for security improvement , with publications in journals like Cybernetics and Systems and Advances in Engineering Software . He earned his Ph.D. from Universidad de Murcia in 2009 under Dr. José Ambrosio Toval Álvarez , contributing to integrated software product line modeling . His recent publications (2001–2009) highlight applications in security requirements engineering , formal verification , and control systems , with a focus on algebraic specification and dynamic modeling . He has collaborated with researchers such as Ambrosio Toval , Fernando García , and Begoña Moros .

• Computer vision and pattern recognition
• Digital image processing
• Medical image processing
• +۴ مورد دیگر

Santa Di Cataldo is an Associate Professor at the Department of Control and Computer Engineering (DAUIN) of Politecnico di Torino. His research focuses on computer vision, pattern recognition, digital image processing, and medical image processing, with applications in industrial systems and AI for manufacturing. Scientific Branch: IINF-05/A - Information Processing Systems ERC Sectors: PE6_8 - Computer graphics, computer vision, multi media, computer games ERC Sectors: PE6_11 - Machine learning, statistical data processing His work includes developing AI-driven anomaly detection frameworks, physics-informed neural networks for additive manufacturing optimization, and neuro-symbolic approaches for Industry 4.0 applications. He supervises PhD students in Artificial Intelligence and Computer Engineering programs, collaborating on projects like BIG (Blue Is Green) and PNRR-Complementary Plan. Premio Donna Innovazione (2010) He leads courses such as Machine Learning in Applications and Applied AI and Machine Learning , while contributing to bioinformatics and robotics-related teaching. His research is supported by IAM@PoliTo and EDA groups, utilizing LADISPE laboratory facilities.

Richard Mayمشاهده پروفایل

پژوهشگر

• Software Product Lines
• Data Security
• Industry 4.0
• +۶ مورد دیگر

Richard May is a researcher and Ph.D. candidate at the Doctoral Center Engineering and Information Technologies (IWIT) , affiliated with Harz University of Applied Sciences . His work bridges software engineering , data security , and healthcare applications through roles as a scientific assistant and industry professional. Supervised by Prof. Thomas Leich and Prof. Gunter Saake, his research focuses on configurable systems in Industry 4.0 and health informatics . Education : Master of Engineering in Technical Innovation Management Bachelor of Science in Media Informatics (specialized in Computer Science) with a semester abroad in Medical Informatics Research Interests : He explores security vulnerabilities in configurable systems , particularly enterprise resource planning (ERP) software and industrial cloud systems . Key areas include: Integration of security into software product line engineering AI incident analysis in safety-critical systems Human-computer interaction for healthcare conversational agents Variability modeling for industry 4.0 applications Article Trends : His 2022-2025 publications show growing focus on AI safety in manufacturing and healthcare, vulnerability analysis of configurable systems, and practitioner-driven insights on cybersecurity challenges. Key journals include ACM , Springer , and JMIR Publications . Academic Experience : Head of User Experience & Design at eGuest & ePassGo GmbH (4 years 10 months) Scientific Assistant at Harz University of Applied Sciences (since 2020) Research at Fraunhofer Institute for Production Technology (2 years 4 months) Startup development and academic teaching experience Labs & Teams : Collaborates with research teams at IWIT Doctoral Center, Harz University of Applied Sciences, and Otto von Guericke University Magdeburg. Works closely with Prof. Thomas Leich and Prof. Gunter Saake.

• Learning Technologies
• Artificial Intelligence
• Education
• +۴ مورد دیگر

Dr. Volodymyr Sokol is a researcher at RWTH Aachen University’s College of Computer Science, specializing in Learning Technologies. He contributes to academic research and teaching in the field of educational technology and software engineering. His research focuses on adaptive learning systems, competency-based education, and the integration of AI into teaching processes. He works closely with the Department of Learning Technologies to develop scalable educational solutions. The articles in his portfolio highlight trends in intelligent educational technologies, competency frameworks, and adaptive content generation. These publications demonstrate expertise in aligning academic curricula with industry needs and leveraging knowledge management systems for learning. He has advised Master’s student Muhammad Abdullah on AI-related educational tools, emphasizing practical applications in IT training environments.

• Industrial Automation
• Logistics
• Programming
• +۲ مورد دیگر

Catrina Chivu is an Associate Professor at the Department of Engineering and Industrial Management within the Faculty of Technological Engineering and Industrial Management at Transilvania University of Brașov, Romania. Research focus: Industrial Automation, Logistics, and Programming Her recent work explores intersections of industrial systems with emerging technologies, including ethical implications of large language models, conveyor/AGV design software, and assembly line optimization through virtual platforms. Publications emphasize practical engineering solutions and educational technology integration. Key trends show applications of automation in logistics systems, AI ethics frameworks, and digital resource management tools for industry and academia.

• Electronics
• Automations
• Electric Drives
• +۳ مورد دیگر

Cătălin-Iulian CHIVU serves as an Associate Professor at the Department of Engineering and Industrial Management within the Faculty of Technological Engineering and Industrial Management at Transilvania University of Brașov, Romania. His office is located in Building V, Room VI07, with contact details including phone/fax +40268.477113 and email catalin.c@unitbv.ro. His research spans electronics, automations, and electric drives, with significant contributions to industrial automation systems, conveyor/AGV software design, and electric drive technologies. He also investigates interdisciplinary intersections including AI ethics in large language models and virtual platform applications in educational resource management. This dual focus bridges traditional engineering domains with contemporary societal and pedagogical considerations. Recent publications (2021-2023) reveal a multidisciplinary trajectory spanning electrical engineering, industrial automation, educational technology, and AI ethics. His work demonstrates technical depth in drive systems and automation while addressing emerging societal implications of AI, reflecting an evolving research profile that integrates engineering fundamentals with human-centered applications. No scientific awards were documented in the available source material. Information regarding student supervision, research grants, laboratory affiliations, or collaborative teams was not provided in the source documentation. His academic activities appear centered on teaching and publication within his core engineering disciplines with recent expansion into technology ethics.

Gordana Radosavljevićمشاهده پروفایل

دانشیار

• Microbiology
• Immunology
• Molecular Medicine
• +۳ مورد دیگر

Gordana Radosavljević is an Associate Professor at the Faculty of Medical Sciences, University of Kragujevac. She is affiliated with the Centre for Molecular Medicine and Stem Cell Research , focusing on Mikrobiologija i imunologija (Microbiology and Immunology). Her academic journey includes a PhD in 2011 and selection to her current rank in 2012. Research Interests: Microbiology, Immunology, Molecular Medicine, Stem Cell Research, Public Health, and Pharmacology. Key Trends: Her work bridges fundamental microbiology with clinical applications, including pharmacological potential of natural compounds, inflammatory pathways in chronic diseases, and biomarker development for cancer prognosis. She also explores societal impacts on health, such as socioeconomic disparities in dental care and drivers' knowledge of medication risks. Technical Expertise: Utilizes advanced equipment for molecular biology, cell culture, and pharmacological testing, as listed in the University's research capacities .

Gerald Striednerمشاهده پروفایل

استاد

• Bioprocess Engineering
• Upstream Process Development
• Recombinant Protein Production
• +۵ مورد دیگر

Gerald Striedner serves as Professor and Head of the Institute of Bioprocess Science and Engineering at the University of Natural Resources and Life Sciences, Vienna (BOKU). He leads a comprehensive research group focused on upstream process development for the production of recombinant proteins, plasmid DNA, and virus-like particles using bacterial, insect, and mammalian cell systems. His research interests span advanced process characterization , E. coli expression system design , rational bioprocess development , process monitoring and control , continuous biomanufacturing , and synthetic biology applications . His work integrates PAT/QbD concepts to create efficient production platforms for bio-pharmaceutical, industrial, and environmental applications. Analysis of his recent publications reveals a strong focus on cutting-edge bioprocess technologies including non-canonical amino acid incorporation, advanced protein purification methods, continuous manufacturing platforms, and enzyme engineering for polymer degradation. His research demonstrates a consistent emphasis on both fundamental process understanding and practical applications for industrial biotechnology. As an academic leader, Professor Striedner supervises a diverse team including PhD students, postdocs, and senior scientists. His research group maintains active collaborations with academic partners across Europe, including institutions in Austria, Portugal, and Germany, reflecting the international scope of his work. His laboratory operates within BOKU's Institute of Bioprocess Science and Engineering, which features advanced pilot plant facilities for training and research purposes, providing an integrated environment for both fundamental research and practical application development in bioprocess engineering.

Morales Benavente, José Luisمشاهده پروفایل

استاد مدعو

• Computer Vision
• Industrial Automation
• Economic Mathematics
• +۳ مورد دیگر

Dr. José Luis Morales Benavente serves as an Adjunct Professor in the Department of Economic Analysis at the University of Alicante's School of Economics. With three engineering degrees from the same institution, he has maintained continuous affiliation since completing his studies in 1998-1999. His academic career spans over 25 years with consistent teaching contributions. Education: Computer Engineering, EPSA - University of Alicante (1999) Technical Engineering in Business Information Systems, EPSA - University of Alicante (1999) Technical Engineering in Computer Systems, EPSA - University of Alicante (1998) His research trajectory evolved from industrial computer vision applications (2000-2003) toward educational software documentation (2008-2010). Early work focused on textile quality control systems using image processing algorithms and DSP implementations for defect detection, with publications in journals like Revista Española de Electrónica and Técnica Textil Internacional. Later contributions centered on open-source office software documentation. Current activities emphasize mathematics instruction for economics students across multiple degree programs. Teaching remains his primary focus with documented instruction in mathematics courses for economics and business programs through 2025. His research projects included publicly funded work on textile manufacturing automation (1999-2001) and technology transfer initiatives (2001-2004), though no recent research output appears in official records. Research Management: Coordinator: 'Transferencia y valoración tecnología' (University of Alicante, 2003-2004) Collaborator: 'Sistema automático de corte...' (Ministerio de Educacion, 1999-2001) Collaborator: Private sector project with GESTION TRIBUTARIA TERRITORIAL SAU (2001-2002) His career demonstrates a transition from technical research toward teaching specialization within the economics faculty, maintaining institutional continuity at the University of Alicante for over two decades.

• Machine Learning
• Bioinformatics
• Software Engineering
• +۳ مورد دیگر

William Andreopoulos serves as an Assistant Professor in the Department of Computer Science at San José State University's College of Engineering. With a strong interdisciplinary background spanning computer science, bioinformatics, and molecular biology, he bridges computational methods with biological applications. His academic journey has taken him through prestigious institutions including Lawrence Berkeley National Laboratory, Columbia University, and TU Dresden. Ph.D. in Computer Science and Engineering, York University, Toronto, Canada (2006) M.Sc. in Computer Science, University of Toronto, Canada (2001) B.Sc. in Computing and Software, McMaster University, Canada (1999) Dr. Andreopoulos specializes in applying machine learning and computational approaches to biological problems, with particular emphasis on genomics, metagenomics, and bioinformatics. His research spans fungal genomics, microbial community analysis, plasmid identification, and the development of tools for omics data integration. He has extensive experience working with environmental data as well as cancer datasets from PCAWG and TCGA projects. His publication record reveals a strong interdisciplinary focus, with recent work spanning from fungal genomics and microbial identification to natural language processing applications. The research demonstrates consistent integration of machine learning techniques across diverse biological contexts, with notable contributions in developing computational pipelines for high-throughput sequencing data analysis. As an educator, Dr. Andreopoulos has mentored numerous graduate students through CS297/CS298 projects and CS280/CS180 courses, with students working on bioinformatics-related computational projects. His professional experience includes 8 years as a data scientist at the Joint Genome Institute, Lawrence Berkeley National Laboratory, where he developed software pipelines for automated processing of high-throughput sequencing data. His laboratory focuses on computational biology projects that require expertise in Java, Python, Linux command line, machine learning libraries, and data visualization tools. Current research directions include strain separation in microbial communities, plasmid identification, 16S sequence reconstruction, and deep learning applications to molecular biology problems.

Bjørn Solvangمشاهده پروفایل

استاد

• Manufacturing Systems
• Robotics and Automation
• Industrial Engineering
• +۳ مورد دیگر

Bjørn Solvang is a Professor in the Department of Industrial Engineering at UiT The Arctic University of Norway, campus Narvik. His research focuses on advanced manufacturing systems, robotics, and digital transformation in industrial contexts. His primary research interests include: Reconfigurable Manufacturing Systems Industry 4.0/5.0 Technologies Human-Robot Collaboration Digital Twins and Virtual Reality Applications Supply Chain Optimization Cognitive Infocommunication in Robotics He investigates how these technologies enhance flexibility, efficiency, and sustainability in manufacturing, particularly for small and medium enterprises (SMEs). Analysis of his recent publications reveals a strong trajectory toward smart manufacturing systems with increasing emphasis on Industry 5.0 principles. His work consistently addresses real-world industrial challenges through robotics integration, digital twin implementations, and AI-driven optimization, often involving European cross-organizational collaborations. Professor Solvang actively contributes to the ArcLog research group (Intelligent Manufacturing and Logistics) and the "Industry 5.0 enabled Smart Logistics" project. He has participated in multiple European cooperation initiatives providing educational frameworks for SMEs transitioning to advanced industrial paradigms. Based at Campus Narvik (room A4050), he maintains active industry engagement through research projects targeting practical manufacturing innovations and sustainable logistics solutions.

Paolo G. Giarrussoمشاهده پروفایل

پژوهشگر

• Programming Language Theory
• Domain-Specific Languages
• Distributed Systems
• +۵ مورد دیگر

Paolo G. Giarrusso is a researcher at the Institute for Programming Languages and Software Engineering within the Faculty of Informatics at the University of Tübingen . Previously, he was a Ph.D. student at the University of Marburg , where he defended his thesis Optimizing and Incrementalizing Collection Queries by AST Transformation in January 2018.

Meenakshi Balakrishnanمشاهده پروفایل

استاد

• Embedded Systems
• Assistive Technologies
• System-Level Design
• +۵ مورد دیگر

Meenakshi Balakrishnan is a Professor at the Indian Institute of Technology Delhi, where he leads the ASSISTECH Lab. His work focuses on system-level design and embedded systems, particularly through cost-effective assistive technologies for the visually impaired. He has developed solutions like the SmartCane, OnBoard bus system, and DotBook Braille laptop, with a strong emphasis on interdisciplinary collaboration across computer science, electrical engineering, and product design. ACM Fellows (2021) ACM Eugene L. Lawler Award (2018) ACM Senior Member (2009) His research spans mobility and education challenges in the developing world, integrating hardware, software, and firmware for real-world deployment. The lab trains students in full-cycle solution development, including visually impaired researchers, and collaborates with non-profits, government agencies, and for-profit organizations globally. The ASSISTECH Lab's innovations, such as tactile diagrams via the non-profit Raised Lines Foundation, aim to democratize access to STEM education and reduce costs to 5% of Western alternatives. Ongoing projects include MAVI (Mobility Assistant) and RAVI (Reading Assistant) for the visually impaired.

Leopoldo Teixeiraمشاهده پروفایل

استادیار

• Software Engineering
• Refactoring
• Formal Methods
• +۶ مورد دیگر

Leopoldo Teixeira is an Assistant Professor at the Informatics Center (CIn) of the Federal University of Pernambuco (UFPE) in Brazil. Since May 2023, he has served as Head of Graduate Studies at his department. He leads the Software Testing and Analysis Research group and is affiliated with the Software Productivity Group and CIn-Trust. Dr. Teixeira was a CAPES-Alexander von Humboldt Experienced Research Fellow at the Chair of Software Engineering of Universität des Saarlandes in 2022, where he collaborated with Sven Apel on variability analysis over time and space. His educational background includes: PhD in Computer Science from Federal University of Pernambuco (CIn-UFPE, 2014), supervised by Paulo Borba and Rohit Gheyi MSc in Computer Science from CIn-UFPE (2010) Bachelor's degree in Computer Engineering from the Polytechnic School of Pernambuco (2007) Dr. Teixeira's research focuses on providing strong foundations for improving software quality and productivity. His work spans software product lines, configurable systems, refactoring, formal methods, software testing, and mobile development. He has made significant contributions to understanding challenges in highly configurable systems and software evolution, with particular emphasis on theoretical rigor combined with practical applicability. His publication record demonstrates expertise across software testing methodologies, analysis of configurable systems, and formal verification techniques. Recent work addresses pressing challenges in containerization practices (Dockerfile repair), test reliability (flaky test detection), and formal specification of API properties, showing his ability to tackle both theoretical and practical aspects of software engineering. Dr. Teixeira has received recognition through the CAPES-Alexander von Humboldt Experienced Research Fellowship. CAPES-Alexander von Humboldt Experienced Research Fellow (2022) Dr. Teixeira actively contributes to the software engineering community through extensive service on program committees of major conferences including ICSE, FSE, ASE, and SPLASH across multiple years. In 2024, he served as Conference and Local Organization Chair for FSE. He mentors students through his leadership of the Software Testing and Analysis Research group at CIn-UFPE. His laboratory work focuses on software testing and analysis, particularly in the context of configurable systems and software product lines. The research group investigates practical approaches to improve software quality through better testing methodologies, analysis techniques, and formal verification approaches for complex software systems.