جست‌وجوی استاد و پژوهشگر

Gary Allenمشاهده پروفایل

مدرس ارشد

• Software Engineering
• Distributed Systems Development
• Aspect Oriented Programming
• +۱۳ مورد دیگر

Gary Allen is a Senior Lecturer in the Department of Computer Science at the School of Computing and Engineering, University of Huddersfield. He is an active member of the Centre for Planning, Autonomy and Representation of Knowledge, the Centre for Sustainable Software Engineering, the Centre for Sustainable Computing, and an affiliate of the Centre for Autonomous and Intelligent Systems. He holds a PhD in Software Development Methods for Educational Use and has been with the university since 1990, first as a research assistant and then as a full-time lecturer since 1995. His research interests include: Software Engineering Distributed and Client-Server Systems Aspect-Oriented Programming Object-Oriented Analysis and Design Design Patterns Java Programming and JavaSpaces Software Engineering Education Integrated Project Support Environments His recent publications reflect a strong focus on software quality, empirical evaluation of programming paradigms, and educational applications of software engineering. He has contributed to studies on automated testing adoption, hybrid programming systems, and UML extensions, demonstrating a consistent thread in software design, modularity, and educational technology. His scientific contributions are aligned with sustainable computing and autonomous systems, supporting UN Sustainable Development Goals. He actively participates in peer-review for journals such as the Journal of Software: Evolution and Process and international conferences. He supervises PhD students and has been involved in multiple research supervision activities. His work integrates teaching and research, particularly in practical and pedagogical aspects of computer science. He is also engaged in activities related to knowledge representation and intelligent systems through his centre affiliations.

Kathrin Burmesterمشاهده پروفایل

استادیار

• Fine Arts
• Media Arts
• Visual Arts
• +۳ مورد دیگر

Kathrin Burmester, an Assistant Professor in MFA Fine Arts at Otis College of Art and Design , is a German-born artist based in Los Angeles. With an MFA from Otis (2007) and a BFA in Film and Video from the School of Visual Arts, New York (2004), her practice spans video installations, photographic series, and conceptual projects. She has exhibited extensively since 2000, including at the MAK Center for Art and Architecture , UCLA Hammer Museum , and Highways Performance Space . Her research interests focus on urban visual culture , architectural documentation , and media-based art practices . By exploring everyday environments through video and print , her work investigates intersections of public space , material transformation , and temporal processes . Notable projects include: Since I'm Being Honest With You (2017): Installation examining personal and urban narratives Packing the Library (2014): Recontextualization of deaccessioned books News Collages (2007-2009): Composite images from online news photographs Scientific Awards : Otis Faculty Development Grants (2019, 2017, 2016)

Michael L. Collardمشاهده پروفایل

استادیار

• Software Engineering
• Source Code Analysis
• Program Comprehension
• +۵ مورد دیگر

Michael L. Collard is an Assistant Professor of Computer Science at the Department of Computer Science , Buchtel College of Arts and Sciences , The University of Akron . He teaches courses in iOS Development and Software Engineering , focusing on modern programming languages like Swift and Objective-C. Research Interests: His work centers on software engineering , source code analysis , and iOS development . Key areas include forward static slicing, code stereotyping, traceability, and tools like srcML for mixed-language software infrastructure. Publications: Recent publications address scalable static slicing ( srcSlice ), source code modeling with XML, stereotype-based feature location, and tools for software visualization. Awards: Recipient of NSF grants (CISE CRI 2013, REU Supplement 2013) and the Most Influential Paper Award at ICPC'13 for his 2003 work on C++ fact extraction. Students: Mentored undergraduate researcher Brian Kovacs through NSF-funded REU. Labs: Cofounder of SDML, LLC , commercializing research tools for source code analysis.

• Control Engineering
• Biomedical Systems
• Iterative Learning Control
• +۷ مورد دیگر

Dr.-Ing. Maike Stemmler is a researcher and group leader at the Institute of Automatic Control, RWTH Aachen University, where she heads the Biomedical Systems research group. She is currently on parental leave but remains an active contributor to control engineering research with a focus on biomedical applications. Her work bridges advanced control theory and medical technology development. Research Interests: Iterative Learning Control in medical systems Physiological modeling and control of cardiovascular dynamics Robot-assisted rehabilitation and human-robot interaction Deep learning and AI-based control strategies Biomedical cyber-physical systems Ventricular assist device (VAD) control algorithms Her recent publications (2018–2023) demonstrate a strong trend toward integrating machine learning and data-driven modeling with classical control theory, particularly in medical and automotive domains. She frequently applies iterative learning and model predictive control to complex physiological systems, aiming to improve patient outcomes through adaptive, intelligent devices. Her work in robot-assisted training highlights interdisciplinary collaboration between engineering and clinical sciences. Scientific Awards: No awards mentioned in the provided text. Advising and Grants: She completed her PhD in 2023 on iterative learning control in medical applications, indicating mentorship under Prof. Dirk Abel. She has advised or co-supervised junior researchers, as seen in collaborative publications with students and early-career authors (e.g., Xu Chen, Maximilian Basler). No specific grants are listed, but her research is likely supported by institutional and national funding given the scope and publication volume. Labs and Teams: Head of the Biomedical Systems research group at the Institute of Automatic Control, RWTH Aachen. Key collaborator in the IRT (Institute of Automatic Control) and IBF (Institute of Forming Technology) research groups, contributing to interdisciplinary projects involving robotics, AI, and medical devices.

Nur Syazwani Mazlanمشاهده پروفایل

مدرس ارشد

• Applied Econometrics
• Big Data
• Sentiment Analysis
• +۹ مورد دیگر

Dr. Nur Syazwani Mazlan is a Senior Lecturer in the Department of Econometrics and Business Statistics at Monash University Malaysia, where she joined in July 2024. Previously, she was a faculty member at Universiti Putra Malaysia’s School of Business and Economics from 2015 to 2024. Her academic qualifications include a PhD in Econometrics from the University of Bristol (2015), an MSc in Finance from Imperial College London (2010), and a First Class BSc (Hons) in Mathematics, Statistics, and Financial Economics from Queen Mary, University of London (2008). Her research centers on Applied Econometrics, Big Data, Sentiment Analysis, and International Economics , with strong applications in the gig economy, financial development, and policy analysis. She has developed innovative teaching materials, including a copyrighted module on Stata-based econometric modelling. The recent research articles show a consistent focus on gig economy dynamics, financial inclusion, trade, and socio-economic policy in Malaysia and Asia, leveraging big data and econometric techniques. Her work increasingly integrates public policy and sustainable development goals. Excellent Service Award, Universiti Putra Malaysia (2017, 2019, 2020, 2021) Excellent Staff Award, School of Business and Economics, UPM (2019) Recognition for Contribution to Industry and Community Network Involvement Best Presenter Award at a National Conference Dr. Mazlan has secured over RM1 million in research funding from agencies including MOHE (FRGS, LRGS), UNFPA, and KWSP. She has advised PhD students and served as a consultant to MARA, KWAP, and the Ministry of Health. Her editorial roles include Managing Editor (2017–2019) and Associate Editor (2024) of the International Journal of Economics and Management . She is actively involved in peer review and professional networks such as the World Economics Association and the International Statistical Institute. She leads and contributes to multidisciplinary research teams, including projects on ageing, food security, and gig economy analytics. Her affiliations extend to national committees and industry partnerships, including with the Ministry of Economy and wildlife conservation agencies, reflecting her applied and policy-oriented research approach.

Vijayanarasimha Hindupur Pakkaمشاهده پروفایل

مدرس ارشد

• Electrical Power Systems Analysis
• Smart Grids
• Microgrid Operation and Control
• +۲۵ مورد دیگر

Vijayanarasimha Hindupur Pakka is a Senior Lecturer in Electrical Power Systems & Smart Grids at De Montfort University, UK, based in the School of Engineering and Sustainable Development within the Faculty of Computing, Engineering and Media. He is affiliated with the Institute of Energy & Sustainable Development (IESD) and the Engineering & Physical Sciences Institute (EPSI), contributing to cutting-edge research in sustainable energy systems and smart grids. Education: PhD in Computer Science, University of Southampton, UK (2005–2009) MSc (Engg) in Electrical Engineering, Indian Institute of Science, Bangalore, India (2002–2004) B.E. in Electrical & Electronics Engineering, Bangalore University, India (1997–2001) PGCertHE, De Montfort University, UK (2016–2017) His research focuses on smart grids, distributed energy integration, microgrid control, voltage regulation, electricity markets, and agent-based modeling. He applies advanced techniques such as machine learning, multi-agent systems, statistical models, and metaheuristics to power system challenges. His teaching includes power system analysis, electrical principles, and power electronics at both undergraduate and postgraduate levels. His recent publications (2022–2024) reflect a strong trend toward intelligent optimization in distribution systems, local energy planning, water quality modeling, and real-time occupancy sensing for energy efficiency. These works span disciplines including electrical engineering, environmental science, and building automation, with a clear emphasis on sustainability, data-driven modeling, and smart infrastructure. Scientific Awards and Recognition: Higher Certificate in Statistics, Royal Statistical Society (2013) Fellow of the Higher Education Academy (FHEA, 2017) Reviewer for EPSRC, Netherlands Organization for Scientific Research, IET, MDPI Energies, and several international journals Vijay Pakka actively supervises MSc and PhD students and has led or contributed to major research grants such as CASCADE, AMEN (EPSRC), and the UKRI-funded CEPREC project. His consultancy includes power and statistical system analysis. He is involved in KTP projects with industry partners like Advanced Infrastructure Technology Ltd and Midas Productions Ltd, focusing on data-driven energy planning and demand optimization. He is a member of IEEE, IET, CIGRE, and the Energy Institute, and regularly presents at international conferences such as CIRED, EEM, and IEEE SmartGridComm. His work bridges technical power systems with socio-economic and behavioral aspects of energy transitions, positioning him at the forefront of interdisciplinary energy research.

Katri Aaltonenمشاهده پروفایل

پژوهشگر

• Pharmaceutical Policy
• Equity in Healthcare Access
• Quality Use of Medications
• +۷ مورد دیگر

Katri Aaltonen is a Doctoral Researcher in Sociology and an Academy Research Fellow at the INVEST Research Flagship Centre, affiliated with the University of Turku. She holds a PhD in Social Pharmacy and the academic title of Docent in Pharmaceutical Policy. She is Principal Investigator of the Research Council of Finland-funded MultiMed project, focusing on multi-level governance and decentralization of medicine budgets. Her research centers on equity in healthcare access, quality use of medications, citizens' experiences, and the evaluation of health reforms, particularly in Nordic and Northern European contexts. Key areas include the financial burden of medicines on households, decommodification of healthcare, and comparative pharmaceutical policy. Her recent publications span topics such as prescribing patterns in diabetes care, the impact of healthcare costs on poverty, informal caregiving and mental health, and pandemic policy outcomes. These works reflect a strong methodological orientation toward register-based studies and microsimulation modeling, often with cross-national comparisons. She has contributed to policy-relevant blogs through INVEST and Kela, demonstrating engagement with public discourse. Her collaborations span multiple institutions and countries, highlighting her active role in the academic and policy communities.

• Digital Diplomacy
• Public Diplomacy
• Social Media Analysis
• +۷ مورد دیگر

Dr. Damien Spry is an Adjunct Research Fellow at the University of South Australia (UniSA), affiliated with UniSA Justice & Society and previously with the School of Creative Industries. His research spans digital diplomacy, social media analytics, public engagement, and youth interactions with mobile media. He has conducted extensive empirical studies on Facebook diplomacy by foreign ministries, particularly in the Asia-Pacific region. Institution: University of South Australia School: School of Creative Industries Role: Adjunct Research Fellow Email: Damien.Spry@unisa.edu.au His research focuses on the intersection of digital media and international relations, emphasizing audience engagement, institutional practices, and algorithmic influences. He employs mixed-methods approaches, combining quantitative metrics with qualitative content analysis to evaluate diplomatic communication on platforms like Facebook. Analysis of his recent publications reveals a strong trend toward data-driven, user-focused models of digital diplomacy. His work frequently examines how ministries of foreign affairs engage publics, the relevance of content, and emotional resonance in digital outreach. He also explores cultural representations, such as Australia in South Korean media, and broader themes of soft power in East and Southeast Asia. Notable scientific contributions include methodological innovations using tools like Netvizz and Leximancer, and conceptual frameworks for categorizing diplomatic discourse on social media. His research has been published in Media International Australia , Hague Journal of Diplomacy , and by publishers such as SAGE, Routledge, and Brill. Dr. Spry has advised on digital engagement strategies for government agencies like DFAT and the Department of Defence. His work has been supported by grants such as the ARC Australian Postgraduate Industry Award. He has contributed to policy-oriented reports, notably for the Australian Strategic Policy Institute. He has been involved in research teams exploring digital workers, youth media use, and online safety. His earlier work included studies on mobile youth cultures in Japan and Australia, and digital inclusion for chronically ill youth through platforms like Livewire. His future research trajectory appears focused on diversifying digital diplomacy models across the Asia-Pacific and refining audience-centric approaches in public diplomacy.

• Machine Learning
• Recommender Systems
• Information Retrieval
• +۷ مورد دیگر

Dr. Pablo Sánchez Pérez is an Assistant Professor (Part-Time) at the Universidad Pontificia Comillas, specifically within the School of Engineering (ICAI), where he teaches core computer science subjects including Programming, Databases, Algorithms and Data Structures, and Fundamentals of Operating Systems. He earned his PhD in Computer Engineering and Telecommunications from Universidad Autónoma de Madrid (UAM) in 2021, where he was affiliated with the Information Retrieval Group. His current research focuses on recommender systems, machine learning, and information retrieval, with an emphasis on contextual factors such as time, sequence, and user behavior. Research Interests: His primary research areas include Machine Learning , Recommender Systems , Information Retrieval , and Artificial Intelligence . He investigates how contextual information—like temporal patterns and sequential behaviors—can enhance the accuracy and fairness of recommendation algorithms, particularly in tourism and location-based settings. His work also addresses critical issues such as bias mitigation, sustainability in tourism recommendations, and the evaluation of novelty and diversity in recommendations. The recent publications of Dr. Sánchez Pérez demonstrate a strong trend in advancing location-based and tourism-oriented recommender systems , with increasing attention to ethical AI , fairness , and sustainability . His work spans both theoretical contributions—such as new evaluation metrics—and practical applications, including data augmentation and reranking strategies. The interdisciplinary nature of his research connects computer science with tourism informatics and social impact. Scientific Awards: Accésit to Best Scientific Publication in Recommender Systems (2023–2024), ELIGE-IA Premio CAEPIA 2024 for 2nd best paper at SISREC 2024 Outstanding Reviewer Award, RecSys 2023 Honorable Distinction for Best Doctoral Thesis, UAM, 2022 Dr. Sánchez Pérez has been actively involved in academic service, including advising and peer review. He has served as a reviewer for top journals such as IEEE Communications Magazine , User Modeling and User-Adapted Interaction , and Information Processing & Management . He has also contributed to major conferences as a member of technical program committees (e.g., RecSys, RecTour, KaRS) and as Web Chair for HT’2022. While no formal grants are listed, his research has been disseminated through numerous publications and invited seminars, indicating strong scholarly engagement. Labs and Research Teams: He was previously affiliated with the Information Retrieval Group at Universidad Autónoma de Madrid during his PhD and postdoctoral research. Currently, he is associated with the Instituto de Investigación Tecnológica (IIT) at Universidad Pontificia Comillas, where he continues his research and delivers invited seminars.

Charles A. DiMarzioمشاهده پروفایل

دانشیار

• Optics
• Microscopy
• Coherent Detection
• +۱۰ مورد دیگر

Charles A. DiMarzio is an Associate Professor in the Department of Electrical and Computer Engineering at Northeastern University , with affiliations in Mechanical and Industrial Engineering and Bioengineering. His research spans advanced optical imaging techniques for biomedical applications. Education: PhD in Electrical and Computer Engineering, Northeastern University (1996) MS in Physics, WPI BS in Engineering Physics, University of Maine Research interests focus on optics , microscopy , coherent detection , hyperspectral imaging , and collagen studies . His group develops hardware and computational methods for multi-modal biomedical imaging , including the Keck 3-D Fusion Microscope . Recent publications highlight innovations in: Collagen monomer orientation measurement Super-resolution structured illumination Ultrasound-modulated light imaging Coded-illumination Fourier ptychography Awards include: SPIE Fellow (2022) SPIE Senior Member (2021) Optica Senior Member (2021) He supervises capstone design projects and teaches graduate courses in Optics for Engineers and undergraduate classes in Circuits and Signals , Electronics , and Subsurface Sensing . Collaborations include the Gordon Center for Subsurface Sensing , ALERT , and institutions like Memorial Sloan Kettering Cancer Center.

• Power Electronics
• Building Automation
• Energy Conversion Systems
• +۳ مورد دیگر

Marcin Jachimski serves as a lecturer at the Department of Power Electronics and Automation of Energy Conversion Systems within the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering at AGH University of Science and Technology in Kraków. His academic role involves teaching and research focused on energy-efficient technologies and advanced control systems, with particular emphasis on practical applications in building automation and industrial processes. Dr. Jachimski holds both a PhD and an engineering degree (Eng.), establishing his foundation in electrical engineering principles. His educational credentials, while not detailed in available sources, underpin his expertise in power electronics and automation systems that drive his current academic work. His research spans multiple critical domains including Power Electronics for efficient energy conversion, Building Automation systems optimizing energy usage in structures, and Energy Conversion Systems for sustainable power management. He also investigates Electrical Energy Consumption monitoring techniques and develops advanced Control Systems for industrial applications, with growing interest in event-based data acquisition methods and energy-saving lighting technologies. Analysis of Dr. Jachimski's publication trends (2006-2020) reveals consistent focus on energy efficiency within building automation systems, particularly event-based electricity metering and LED/CFL lamp consumption analysis. His work demonstrates strong practical orientation through applications in lime processing control systems, industrial machine monitoring, and hardware implementations for safety functions, with increasing integration of LonWorks and TCP/IP technologies in building management solutions. No scientific awards or fellowships are documented in available sources, indicating his primary contributions occur through academic publications and teaching activities rather than formal recognitions. As a lecturer, Dr. Jachimski likely mentors undergraduate and graduate students, though specific advisees are not listed in available information. Details regarding research grants secured through competitive funding mechanisms are also absent from current documentation. His departmental affiliation suggests active participation in research teams developing energy conversion solutions and automation systems, though specific laboratory names or team structures are not explicitly mentioned in available materials. The department's focus implies collaborative work on industrial automation projects and energy monitoring systems.

Andreas Papasalourosمشاهده پروفایل

دانشیار

• Educational Technology
• Adaptive Hypermedia
• Ontology Engineering
• +۳ مورد دیگر

Andreas Papasalouros is an Associate Professor at the Department of Mathematics, University of the Aegean. He holds a Ph.D. in Engineering from NTUA (2004), a Diploma in Electrical and Computer Engineering (2000), and a BSc in Physics (1992). His research focuses on Educational Technology , Adaptive Hypermedia , and Ontology Engineering . Education Ph.D. in Mechanics, School of Electrical and Computer Engineering, NTUA (2004) Diploma in Electrical and Computer Engineering, NTUA (2000) BSc in Physics, National and Kapodistrian University of Athens (1992) Research Interests Papasalouros's work centers on leveraging UML and Ontologies for designing Educational Software . He explores Automated Assessment systems, Accessibility solutions (e.g., TeX-to-Braille), and Mobile Learning applications. His studies often intersect with Collaborative Learning and Semantic Web technologies. Key Contributions His publications span Adaptive Hypermedia , Ontology-Driven Learning , and Accessibility Tools . Notable works include Ob-AHEM (2002), Grid4All Ontology (2008), and TeX-to-Braille Transcribing (2017). Recent trends emphasize Game-Based Learning and Query Log Analysis for ontology creation. Courses Taught New Technologies in Education (3rd semester) Introduction to Computer Science (2nd semester) Advanced Programming Languages (6th semester) Postgraduate Course in New Technologies in Education

• Object-Oriented Programming
• C++
• C#
• +۷ مورد دیگر

Assoc. Prof. Ivaylo Donchev is affiliated with the University of Veliko Tarnovo , specifically the Faculty of Mathematics and Informatics . His research focuses on Object-Oriented Programming , C++ , C# , .NET , Functional Programming , and Informatics Didactics . Current projects: "Methodology for Modeling and Development of Information Systems with Artificial Intelligence in Education" (2025) "Digital Accessibility for Visually Impaired in Research/Education" (2023) His publications (2015–2025) emphasize Object-Oriented Programming , Modern C++ , Exception Handling , and Programming Education . Recent work includes optimizations in C# memory handling, AI-driven systems for academic resource management, and accessibility improvements for research platforms. He contributes to STEM education , Software Engineering Methodologies , and Digital Inclusion , with a focus on practical implementations in academic settings.

• Digital Health Literacy
• Gerontechnology
• Technology Acceptance in Aging Populations
• +۳ مورد دیگر

Mario Jokisch is a Professor at the Faculty of Social Sciences and Health at Kempten University of Applied Sciences. He leads research initiatives at the Bavarian Center for Digital Care and Institute Management , focusing on digital literacy, eHealth services, and human-computer interaction in aging populations. His research spans Gerontechnology , Technology Acceptance Models , and Digital Inclusion Strategies . He has developed frameworks for assessing digital competence in elderly populations and investigates the psychological impacts of technology adoption in later life. Key article trends include eHealth literacy (2025), digital alienation theories (2024), and longitudinal studies of technology acceptance (2023-2022) Focus on ICT volunteering and digital competence frameworks for caregivers Examines rubber hand illusion applications in rehabilitation (2012)

Meredith Harrisمشاهده پروفایل

دانشیار

• Mental Health Epidemiology
• Substance Use Disorders
• Treatment Coverage and Barriers
• +۷ مورد دیگر

Associate Professor Meredith Harris is a Principal Research Fellow at the School of Public Health , The University of Queensland , with leadership roles in the Mental Health Outcomes Research Stream and the QCMHR Business Unit Management Committee . Her work focuses on national and global mental health epidemiology, treatment coverage, comorbidities, and policy implications. Her research integrates findings from the 2020–22 Australian National Study of Mental Health and Wellbeing and the WHO World Mental Health Surveys , addressing issues such as suicidal ideation, barriers to care, and service effectiveness. Her recent publications highlight trends in treatment patterns, comorbidity analysis, and trauma-informed frameworks. Mental Health Epidemiology Global Treatment Coverage Comorbidity Studies Public Health Policy Health Services Research She contributes to evaluating clinical models like the Link-me decision support tool and collaborates with multidisciplinary teams at the Queensland Centre for Mental Health Research . Her role involves critical analysis of health outcomes and implementation science in mental health systems.