Find Academic Supervisors

Elizabeth Hisle-GormanView profile

Associate Professor

• Military Family Research
• Child and Adolescent Mental Health
• Family Violence
• +3 more

Dr. Elizabeth Hisle-Gorman serves as Associate Professor in the Department of Pediatrics at Uniformed Services University of the Health Sciences (USUHS) School of Medicine, where she directs the Military Family Research Division. Her work centers on military family health, with emphasis on deployment impacts and pediatric outcomes within military-connected populations. Her academic credentials include: Ph.D. in Social Work, University of Maryland Baltimore School of Social Work (2008) M.S.W., George Warren Brown School of Social Work, Washington University in St. Louis (1997) A.B. in Psychology and History, Georgetown University (1993) Dr. Hisle-Gorman's research program critically examines military deployment effects on child mental health , parental injury consequences , and family violence impacts within military contexts. Her scholarship extends to autism spectrum disorders , transgender youth healthcare , and healthcare disparities in military pediatrics, utilizing the Military Health System Data Repository for large-scale epidemiological studies. Analysis of her publication record reveals consistent focus on military-specific health challenges, with growing attention to specialized populations like transgender youth and children with neurodevelopmental disorders. Her work demonstrates methodological rigor in retrospective cohort studies and health services research. Dr. Hisle-Gorman actively mentors medical students, residents, and junior faculty in research methodology. Her funded projects include: Principal Investigator: Educational Partnership to Increase Medical Providers Awareness of Non-Medical Counseling Principal Investigator: Exploring Outcomes for Military Family Units in Army Warrior Care Program Co-Investigator: Impact of COVID-19 Pandemic on Military Family Health Co-Investigator: Neonatal Outcomes for Children of Female Flyers As Director of the Military Family Research Division, she leads interdisciplinary teams analyzing military health data to inform clinical practice and policy affecting service member families.

• Linguistics
• Russian Language
• Political Discourse
• +5 more

Marina Vazanova is an Associate Professor at the Department of Romance and Slavic Languages, Faculty of Applied Languages, University of Economics in Bratislava, where she has worked since February 2021. Her career spans multiple institutions, including Comenius University in Bratislava (2016–2020), Chuvash State Pedagogical University in Russia (2006–2016), and Johannes Gutenberg University of Mainz (research internship in 2014). Current Position: Associate Professor (University of Economics in Bratislava) Past Roles: Lecturer, Head of Program, Department Chair Her research focuses on linguistic and cultural aspects of Russian language teaching , including componential analysis , political discourse , and cross-cultural communication . She has published extensively on topics such as address forms in political contexts , propaganda in media , and corpus-based linguistic expertise . Key trends in her recent publications (2019–2023) emphasize media linguistics , political communication , and language pedagogy . She has participated in international collaborations and organized conferences on Russian language education and bi/polylingualism. Vazanova has delivered 4 invited lectures at international/national levels and contributed to the Web of Science/Scopus database with 1 registered research output. Her organizational experience includes leadership roles in academic conferences and examination commissions.

Patrick CarringtonView profile

Assistant Professor

• Accessibility
• Human-Computer Interaction
• Wearable Technology
• +4 more

Patrick Carrington, an Assistant Professor at the Human-Computer Interaction Institute within Carnegie Mellon University's School of Computer Science , is a leading researcher in Accessibility and Assistive Technology . His work focuses on designing technology to enhance the lives of individuals with diverse abilities, particularly through Wearable Technology , Chairables , and Non-Visual Interaction . He is affiliated with the AXLE Lab and teaches courses like Special Topics: Accessibility and Programming Usable Interfaces . Education : Ph.D. from University of Maryland, Baltimore County (2017) Dr. Carrington's research explores: Accessibility for people with visual and motor impairments Wearable and Chairable Computing for wheelchair users Non-Visual Interaction in daily activities Assistive Augmentation of existing devices His publications analyze the intersection of Ubiquitous Computing and Human Factors , including studies on Cooking , Autonomous Navigation , and LLM-based Communication Assistance for autistic workers. Scientific awards include: Best Student Paper (ASSETS 2024) Best Paper Award (Top 1%, ASSETS 2019) Best Paper Honorable Mention (Top 5%, CHI 2020, ASSETS 2018, ASSETS 2015, CHI 2014) Dr. Carrington advises students such as Yunzhi Li and Franklin (Mingzhe) Li , and his work often involves Grants from ACM and other institutions. He also contributes to Labs and Teams like the AXLE Lab, focusing on future directions in Accessible Design and Human Empowerment through Technology .

• Business Process Management
• Information Systems
• Petri Net Modeling
• +3 more

Andreas Oberweis is a Professor at the Karlsruhe Institute of Technology (KIT), Germany, with a distinguished career in business process management, information systems, and process modeling. His work spans interdisciplinary collaborations, focusing on integrating formal methods like Petri nets with practical applications in digital identity, privacy, and educational technology. Key research areas include Business Process Management, Information Systems, Petri Net Modeling, Semantic Web, and Process Mining. He has contributed to methodologies like MEUSec for enhancing user experience and security in digital identity wallets, and frameworks for automated assessment of modeling competencies. Publications highlight innovations in process model similarity, social network coordination, and 3D business process visualization. His recent work emphasizes user-centric security and multimodal mobility optimization. Collaborations involve institutions like KIT, University of Rome, and Queensland University of Technology, with co-authors such as Peter Loos, Ralf Reussner, and Agnes Koschmider. He has developed tools like INCOME2010 for process-oriented systems and contributed to open models for enterprise systems. Despite no explicit awards listed, his 18+ years of continuous publication in top venues (BPM, EMISA, Modellierung) underscore his academic impact.

• Space Physics
• Cosmic Dust
• Dusty Plasma Phenomena
• +6 more

Ingrid Mann is a Professor in Space Physics at the UiT The Arctic University of Norway , Department of Physics and Technology. She leads and participates in multiple externally funded research initiatives including the Cosmic dust injection into the upper Earth atmosphere , MXD 2 rocket project to study the mesosphere , and EISCAT Research infrastructure project . ORCID: 0000-0002-2805-3265 Member of research group Space Physics Member of projects: Intermittent fluctuations in physical systems , Maxidusty-2 , CASCADE , Codia , Boosting Space Business , and Forskningsparken 1 A216 Her research spans space and atmospheric physics , focusing on dusty plasmas , cosmic dust dynamics , and polar atmosphere interactions . She employs spacecraft observations , EISCAT radar , rocket experiments , and machine learning for data analysis. Recent publications highlight cosmic dust detection with Parker Solar Probe and Solar Orbiter , PMSE multilayer properties , and dust impact signal modeling . Her work integrates radar , optical , and spacecraft data to understand polar atmospheric systems. She teaches FYS-2000 Kvantemekanikk , FYS-2019 Sun, Planets, and Space , and supervises G-Chaser student rocket projects . Her research group contributes to EISCAT_3D infrastructure and interplanetary dust modeling . Co-edited books: Nanodust in the Solar System (2012) Small Bodies in Planetary Systems (2008) Modern Meteor Science (2005)

Boyan Paskalev BontchevView profile

Professor

• Software Architecture
• E-Learning Systems
• Adaptive Hypermedia
• +5 more

Boyan Paskalev Bontchev is a Professor in the Department of Software Technologies at Sofia University's Faculty of Informatics. With a PhD in Computer Science from the Center of Informatics and Computer Technology - Bulgarian Academy of Sciences, he has established himself as a prominent academic in software engineering and educational technology fields. His academic career includes teaching Java Server/Side Programming and OOAD-UML courses at Sofia University and New Bulgarian University since 2000. Professor Bontchev's research focuses on e-learning systems, adaptive hypermedia, and software architecture. His work centers around developing self-adaptive educational platforms, with significant contributions to the ARCADE e-learning platform that complies with IEEE LTSA standards. He has published extensively on topics including courseware composition, learning content interoperability, and assessment frameworks, demonstrating a consistent research trajectory in educational technology systems. His publications reveal a strong emphasis on practical applications of educational technology, particularly in self-adaptive hypermedia navigation, e-learning courseware delivery, and assessment interoperability. The research shows progression from foundational work on software architecture to increasingly sophisticated adaptive learning systems that incorporate learner modeling and personalized educational experiences. Professor Bontchev maintains active industry connections, having worked as a software engineer and project manager at companies including Rila Solutions, ESDI Ltd., and OBLOG Software Ltd. His international experience includes research stays at the University of Vienna and Technical University of Aachen, contributing to his broad perspective on educational technology development. With proficiency in multiple programming languages and environments including Java, JSP, Oracle, and web technologies, he bridges theoretical computer science with practical educational applications. His multilingual capabilities (English, Portuguese, German, Russian, Spanish) further enhance his international research collaborations and academic contributions.

Dessislava Georgieva Petrova-AntonovaView profile

Professor

• Service-Oriented Architectures
• Web Services
• Distributed Systems
• +2 more

Dessislava Georgieva Petrova-Antonova is a Professor at Sofia University's Faculty of Mathematics and Informatics , specializing in the Department of Software Technologies . Her work focuses on service-oriented architectures, web services, and big data systems for smart cities. She holds a PhD in Software Technologies from Technical University of Sofia (2007) and an MSc in Computer Systems and Control (2000). PhD: Technical University of Sofia, Faculty of Computer Systems and Control (2007) MSc: Technical University of Sofia, Faculty of Computer Systems and Control (2000) Research Interests: She pioneers methodologies for testing web service compositions (e.g., TASSA ), develops big data platforms for smart governance, and explores digital twin modeling for urban environments. Her projects integrate IoT, quality of service (QoS) frameworks, and data-driven policy tools. Projects: Leads initiatives like National CogniTwin (National Science Fund, 2019–2022) and Big4Smart (NSF, 2017–2020). Collaborates in EU programs such as Digital Twin Cities Centre (2020–2025) and People Network+ (FP7, 2012–2013). Labs & Collaborations: Affiliated with the GATE Center of Excellence and contributes to international teams in big data and smart city research. Her work bridges academia and industry through tools like TESSI (Web Service Testing Tool) and faultInjector (BPEL Fault Injection Tool).

• Business Model Development
• Software Ecosystems
• Virtual Reality
• +5 more

Sebastian Gottschalk is a researcher at Paderborn University, Germany, specializing in business model development within software ecosystems, virtual reality applications, and model-driven software engineering. His research focuses on creating situation-specific approaches to business model development, with particular emphasis on tool support, method composition, and knowledge provision. His research interests span business model innovation, virtual reality applications for education and collaboration, model-driven development, and end-user programming. He has made significant contributions to understanding how business models can be developed in context-aware ways within software ecosystems, with practical applications in tool development and method engineering. His publication record shows a clear progression from foundational work on business model development to innovative applications in virtual reality and gamification. Recent work demonstrates increasing focus on practical implementations, particularly in educational contexts using VR technology to teach UML and software modeling concepts. Gottschalk has collaborated extensively with Gregor Engels (27 publications together), Enes Yigitbas (20 publications), and Alexander Nowosad (7 publications), indicating strong research partnerships that have driven much of his recent work in business model development and virtual reality applications.

Alexander SteenView profile

Assistant Professor

• Computational Logic
• Automated Reasoning
• Theoretical Computer Science
• +7 more

Alexander Steen is an Assistant Professor (Juniorprofessor) at the University of Greifswald within the Institute of Mathematics and Computer Science. His research focuses on computational logic, automated reasoning, and theoretical computer science, with significant contributions to higher-order logic (HOL) and non-classical reasoning systems. He leads the development of the Leo-III automated theorem prover, a versatile system supporting classical HOL with choice, polymorphic logics, and higher-order modal/deontic logics. Steen's academic journey includes a Dr. rer. nat. (summa cum laude) from Freie Universität Berlin (2018), followed by post-doctoral work at the University of Luxembourg (2018-2021) as a principal investigator for the AuReLeE project on legal reasoning automation. He holds a 2024 nomination for the University of Greifswald Teaching Award and was elected Fellow of the Academy of Sciences and Humanities in Hamburg (2022). Key Research Areas: Higher-Order Logic, Automated Reasoning, Non-Classical Logics, Legal Tech, Formal Methods in AI, Computational Ethics. Major Projects: Leo-III (DFG-funded automated prover), AuReLeE (FNR-funded legal reasoning), MET (modal logic embedding tool). His recent publications (2025-2022) explore diverse applications of HOL in non-classical reasoning, legal formalization, argumentation frameworks, and TPTP infrastructure extensions. Steen actively contributes to AI governance as co-speaker of the GI AI section and deputy member of Greifswald's Senate. He also engages in science communication through works like the 2024 science comic book Was wissen wir schon (What Do We Know?), featuring his automated reasoning research. Scientific Honors: CLAR 2023 Best Paper Award, IRIS 2020 LexisNexis Best Paper Award, CASC-27 LTB Division Winner, Woody Bledsoe Travel Awards (CADE 2018, 2016), GI Junior Fellowship (2018). Advising: Supervises ongoing PhD/MSc/BSc theses in logic-based AI, modal reasoning, and legal tech at University of Greifswald and Freie Universität Berlin.

Daniel BarbaráView profile

Professor

• Data Mining
• Machine Learning
• Databases
• +3 more

Daniel Barbará is a Professor in the Department of Information and Software Engineering at George Mason University since 1997. He holds a PhD and MS in Computer Science from Princeton University, and a BS in Electrical Engineering from Universidad Metropolitana. Research Interests: Data mining, machine learning, cybersecurity, mobile computing, and fractal-based data analysis. His work focuses on clustering algorithms, intrusion detection, data compression, and handling high-dimensional datasets. Grants: Multiple NSF and Air Force grants including "Clustering by Impact" (2002-2005) and "Data Mining Support for NIAC" (1999-2000). Scientific Awards: Outstanding Researcher, CS Department, George Mason University Best Paper Finalist at WWW 2002 Projects: Developed ADAM (Intrusion Detection), COOLCAT (Categorical Clustering), Fractal Mining, and Quasi-Cubes (Approximate Query Processing).

• Software Engineering
• Workflow Management Systems
• Image Analysis
• +2 more

Michał Turek is a Professor at the Department of Applied Informatics within the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering at AGH University of Science and Technology in Kraków, Poland. His primary workplace is located in room 303a of building C-2, and he maintains active contact through email (mitu@agh.edu.pl) and phone (+48 12 617 52 03), indicating current academic engagement. His research spans Software Engineering with particular emphasis on Workflow Management Systems integration with industrial applications, Image Analysis for 3D surface inspection, and Agile Methodologies implementation. Turek has pioneered innovations in Scrum adaptation for multi-project environments and software product lines, while developing formal verification frameworks for business processes and service-oriented architectures. His work bridges theoretical computer science with practical industrial solutions, especially in automated damage identification systems and workflow optimization. Analysis of his 15 most recent publications reveals consistent focus on workflow system intelligence (2020-2022), with significant contributions to automatic correction mechanisms and smart procedure integration. Earlier works (2010-2016) demonstrate deep expertise in formal verification methods, Scrum economics, and 3D surface analysis techniques. The publications show interdisciplinary convergence between software engineering, computer vision, and industrial automation, with recurring themes of system resilience and process optimization across both English and Polish scholarly outputs.

Marika Apostolova TrpkovskaView profile

Associate Professor

• Cybersecurity
• Blockchain Technology
• Industrial Internet of Things (IIoT)
• +4 more

Marika Apostolova Trpkovska is an Associate Professor at the Faculty of Contemporary Sciences and Technologies, South East European University (Tetovo, Macedonia). Her academic work spans cybersecurity, blockchain technology, and educational technology with a focus on Industrial IoT security, semantic web applications, and digital learning systems. PhD in Computer Science (Specialty: e-Medical Services based on Semantic Web) MSc in Software Development and Applications BSc in Computer Sciences Her research covers cybersecurity frameworks for Industrial IoT, blockchain applications in public administration, and educational technology innovations including VR/AR integration and gamification. She has published extensively in international conferences and journals on these topics, with recent works focusing on machine learning-enhanced security protocols and decentralized real estate management systems. Current publications (2023-2024) highlight her expertise in IIoT security standards, smart contract development using Ethereum/IPFS, and cybersecurity threat modeling. Earlier works examine e-learning systems implementation, gender disparities in CS research, and real-time operating system validation. She serves as part-time academic staff member while maintaining technical roles in learning management system administration (LIBRI, ANGEL) and teaching responsibilities across software engineering, algorithms, and programming disciplines.

André NitzeView profile

Professor

• Internet of Things
• Digital Business Models
• Software Engineering
• +9 more

Prof. Dr.-Ing. André Nitze is a faculty member at the Brandenburg University of Technology in the Department of Economics . His research focuses on Internet of Things (IoT) , Digital Business Models , Software Architectures , Cloud Computing , Mobile Computing , and Predictive Analytics . He leads research projects on municipal LoRaWAN infrastructure, rural on-demand transport systems, and user-centered digitalization for sustainable development. Area of Expertise: IoT Applications, Software Engineering, Digital Transformation Current Research: Sustainable Municipal LoRaWAN, Rural Mobility Solutions Projects: risKI - KatKomm (2024-2026): Protocol development for disaster communication InNoWest (2023-2027): Subproject leader for digital sustainability OSLO (2023): Rural on-demand transport software architecture Awards: Best Paper Award at ICDS 2024 for work on LoRaWAN infrastructure Education & Supervision: M.Sc. and B.Sc. in Business Informatics Supervised over 15 theses including topics on GIS analysis, sensor networks, and AI applications

• Business Management
• Corporate Governance
• Sustainability
• +4 more

Jose Manuel Hurtado González serves as an Associate Professor in the Department of Business Organization and Marketing at Universidad Pablo de Olavide, where he conducts research at the intersection of corporate governance, sustainability, and strategic management. His work examines organizational resilience through board dynamics, ownership structures, and innovation frameworks. He earned his Doctorate from Universidad Pablo de Olavide in 2006 with the thesis The adoption and impact of web technologies on firm performance: an institutional and resource based-view perspective , supervised by Dr. José Luis Galán González and Dr. Sebastián Bruque Cámara. Dr. Hurtado González specializes in meta-analytic methodologies to investigate critical business phenomena. His research portfolio spans corporate governance mechanisms , sustainability-driven organizational strategies , and ambidextrous innovation systems . Recent work demonstrates increasing focus on social capital perspectives in board resilience and SDG integration in higher education curricula, reflecting evolving scholarly priorities toward systemic sustainability. Analysis of his publication trajectory reveals dominant themes in governance-performance relationships (42% of recent works), innovation meta-analyses (28%), and sustainability applications (30%). His research consistently bridges theoretical frameworks with practical organizational implications, particularly regarding SME adaptation and board effectiveness in volatile environments. He actively contributes to the ESTRATESOSTENIB research group (Policies, Strategies and Governance of Organizations for Sustainability), having previously participated in DIRECOMP (Business Management for Competitiveness and Sustainability) and INFORMACIÓN, ENTORNO Y CAMBIO (Information, Environment and Organizational Change) groups.

Øyvind FiksenView profile

Professor

• Biological oceanography
• Marine ecology
• Marine ecosystems
• +7 more

Øyvind Fiksen is a Professor in the Department of Biological Sciences at the University of Bergen, specializing in biological oceanography and marine ecosystem dynamics. His work focuses on how individuals drive population and community dynamics in marine environments through mechanistic models, state-variable optimality theory, and trait-based ecosystem modeling. Professor Fiksen's research spans behavioral ecology, predator-prey interactions in fish, zooplankton, and microbes, investigating how these interactions structure marine ecosystems. His teaching portfolio includes Marine Ecology courses, and he has been instrumental in developing the Centre of Excellence in Biology Education (bioCEED) at the University of Bergen. During 2012-2015, he served as Head of Education and Deputy Head of Department at BIO, contributing to Bergen's recognition as a Centre of Excellence in Education. Analysis of his recent publications (2020-2024) reveals a strong emphasis on climate change impacts on marine systems, particularly how environmental changes affect fish phenology, distribution patterns, and ecosystem dynamics. His work integrates theoretical modeling with empirical data across multiple spatial and temporal scales, with notable contributions to understanding mesopelagic zone dynamics, tuna reproductive strategies, and cod-capelin interactions. A consistent theme throughout his research is the application of mechanistic models to predict ecosystem responses to environmental change. Excellent Teaching Practitioner from UiB Professor Fiksen has supervised numerous doctoral students including Johanna Myrseth Aarflot, Johanna Jennifer Elisabeth Fall, Tom Langbehn, Agurtzane Urtizbera Ijurko, Øystein Varpe, and Christian Jørgensen. His research has been supported by significant funding from EU, NFR (Norwegian Research Council), and NOKUT, including projects such as ETHOFISH, ADAPT, ECOBE, CLIMAR, TBECO, EGGVALUE, bioCEED, MARmaED, FILAMO, and PANDORA. As part of bioCEED, he has delivered over 40 invited talks on educational activities at local and national forums, demonstrating his commitment to both research and teaching excellence. His laboratory work focuses on theoretical ecology approaches to marine ecosystem modeling, with particular expertise in individual-based models that connect physiological processes to population dynamics. Current research directions include investigating how coastal water darkening affects marine phenology, optimizing tuna spawning strategies, and understanding the three-dimensional spatial dynamics of predator-prey interactions in marine environments.