جست‌وجوی استاد و پژوهشگر

• Register variation in linguistics
• Head-Driven Phrase Structure Grammar (HPSG)
• Corpus linguistics
• +۳ مورد دیگر

Dr. Felix Bildhauer is a researcher affiliated with the Institute for the German Language (IDS Mannheim) and Freie Universität Berlin , actively contributing to the Collaborative Research Center 1412 'Register: Language Users’ Knowledge of Situational-Functional Variation' . He serves as a key member of project A04 'Building register into the architecture of language – an HPSG account' and maintains an ORCID profile . His research focuses on register variation and Head-Driven Phrase Structure Grammar (HPSG) , with methodological expertise in Bayesian inference , corpus annotation , and computational modeling . He has developed the COReX feature extraction framework and contributes to the PreCOX20 corpus for register analysis. Recent publications include: 2023: Situating register phenomena across languages and cultures in Frontiers in Psychology 2023: Register-specific attributive clause variation in German 2022: Formalizing register in HPSG at Nagoya University Contact: bildhauer@ids-mannheim.de | felix.bildhauer@fu-berlin.de

• Hepatology
• Liver Disease Management
• Hepatitis C Elimination
• +۳ مورد دیگر

Sumita Verma is a Professor of Hepatology at Brighton and Sussex Medical School (BSMS) and an Honorary Consultant in Hepatology at University Hospitals Sussex NHS Foundation Trust. She specializes in clinical and experimental medicine, with a focus on liver disease management, hepatitis C elimination, and palliative care for end-stage liver disease patients. Education: MBBS, MD from the University of Delhi (India) Fellow of the Royal College of Physicians, Edinburgh Research Interests: Community care models for vulnerable populations with hepatitis C Innovative ascites management strategies Natural history and treatment of autoimmune hepatitis Palliative care in advanced liver disease Her work includes leading national hepatitis C elimination initiatives and developing evidence-based guidelines for ascites management. She has secured grants from the National Institute for Health Research, Dunhill Medical Trust, and Gilead Sciences. Notable contributions include the REDUCe2 trial comparing abdominal drain vs. paracentesis for refractory ascites and seminal studies on autoimmune hepatitis outcomes. Grants: REDUCe2 RCT (NIHR, 2022–2027) Hepatitis B/C testing intervention study (NIHR, 2015–2018) Non-invasive liver screening in elderly adults (Dunhill Medical Trust, 2015–2018) She is actively involved in teaching, recognized by the GMC as an undergraduate trainer and has won multiple teaching awards.

Diana Bairaktarovaمشاهده پروفایل

دانشیار

• Engineering Education
• Spatial Visualization
• Creativity in Design
• +۵ مورد دیگر

Diana Bairaktarova is an Associate Professor in the Department of Engineering Education at Virginia Tech, part of the College of Engineering. She is also an affiliate faculty in Mechanical Engineering and a member of the Human-Centered Design program. With over 15 years of industry experience as a Design and Manufacturing Engineer, her research bridges engineering, psychology, and learning sciences through the ACE(D) Lab. She holds a Ph.D. in Engineering Education from Purdue University (2013), an MBA in Technology Management (Hamline University, 2009), and mechanical engineering degrees from Sofia Technical University, Bulgaria (B.S. 1991, M.S. 1993). Her research focuses on three areas: Learning Environments (e.g., mixed reality, gamification), Factors Impacting Student Performance (spatial visualization, mechanical aptitude), and Creativity/Ethical/Empathic Design. Notable contributions include developing the freely accessible Mechanical Aptitude Test, the ViTA automatic CAD grading tool, and frameworks linking empathy to engineering education. She teaches courses like Foundations of Engineering, Spatial Visualization, and The Startup Class. Key awards include the 2020 W.S. White Innovation Award and XCaliber Award for technology-enhanced learning. Her grants explore topics like ethical STEM culture, mobile learning in thermal-fluids, and holographic sensing technologies. Bairaktarova emphasizes inclusive engineering education through innovative pedagogy and industry collaboration.

Nagender Anejaمشاهده پروفایل

عضو هیئت علمی

• Deep Learning
• Medical Imaging
• Data Analytics
• +۳ مورد دیگر

Dr. Nagender Aneja is a Collegiate Associate Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech. Previously, he held roles as a Research Scholar at Purdue University, Assistant Professor at Universiti Brunei Darussalam, and Associate IP Lead at CPA Global. He earned his Ph.D. in Computer Engineering from J.C. Bose University of Science and Technology (2019) and M.E. from Delhi College of Engineering (2004). His research focuses on deep learning, medical imaging, system resiliency, and language models. He has published over 42 papers and holds three US patents in cybersecurity and NLP. Awards include QS Reimagine Education judging roles and the Brunei ICT Award (2016). Current research collaborations include Purdue University and Sandia National Laboratories on space computing resiliency. He is an editorial board member for Symmetry and ASEAN Journal on Science and Technology for Development . Notable contributions include the NL-Augmenter framework and AI-enabled IoT security systems.

• Privacy and Cybersecurity
• Social Media Analytics
• Technology Adoption and Diffusion
• +۳ مورد دیگر

Sara Memarian Esfahani is an Assistant Professor of Computer Science at the University of Texas at Tyler, affiliated with the Soules College of Business. She holds a Ph.D. in Business Computer Information Systems from the Ryan College of Business at the University of North Texas, an M.S. in Strategic Management from Khatam University, and a B.S. in Industrial Engineering from Islamic Azad University. Her research focuses on privacy and cybersecurity, social media analytics, and the behavioral aspects of technology adoption. She explores how users navigate privacy concerns in digital spaces, the ethical implications of AI, and how organizational systems can leverage technology for strategic advantage. Her work bridges theoretical insights with practical applications, emphasizing the role of information systems in modern business operations. In teaching, she instructs courses on Management Information Systems, System Analysis and Design, and Critical Thinking in Business. She is committed to preparing students to thrive in the digital era through both academic rigor and practical skills like Excel certification. Her recent research trends highlight interdisciplinary themes: examining privacy paradoxes, AI ethics, IoT challenges, and systemic gaps between academia and industry. She consistently advocates for practical solutions that align technological advancements with ethical and organizational needs. While no formal grants or awards are documented here, her active research portfolio demonstrates a dedication to impactful contributions in information systems and cybersecurity domains.

Pradeep DIVAKARANمشاهده پروفایل

دانشیار

• Digital Marketing
• Brand Management
• Interactive Marketing
• +۴ مورد دیگر

Dr. Pradeep Divakaran is an Associate Professor of Marketing at Rennes School of Business, France. He holds a Ph.D. from Aarhus University (Denmark), and academic qualifications in e-Business and Management from Politecnico di Torino and Cardiff University. His research focuses on digital marketing strategies, brand management, and leveraging online communities for innovation and market prediction. He teaches courses on digital marketing, brand management, and innovation at both executive and academic levels. His research interests include predicting market trends using technology, new product development strategies, and understanding user-generated content in digital platforms. He has published extensively in top-tier journals such as Technological Forecasting & Social Change , IEEE Transactions on Engineering Management , and Strategic Change . His work bridges academic theory and industry practice, emphasizing the application of computational methods and social network analysis to marketing challenges. Divakaran has presented his research at conferences including the Academy of Management, European Academy of Management, and Harvard Open Innovation workshops. His recent work explores AI-driven customer experience optimization and the role of influencers in shaping tourism perceptions. Despite no explicit awards listed, his contributions reflect impactful scholarly and practical insights in digital marketing and innovation management. He advises students and collaborates with industry partners, though specific student names or grant details are not documented here. His academic profile underscores a commitment to advancing data-driven marketing practices and understanding evolving consumer dynamics in digital ecosystems.

• Artificial Intelligence
• Data Science
• Machine Learning
• +۷ مورد دیگر

Phivos Mylonas is an Associate Professor at the Department of Informatics and Computer Engineering within the School of Engineering at the University of West Attica. He also maintains academic appointments at Ionian University where he previously served as Associate Professor and Assistant Professor in the Department of Informatics. His academic journey includes adjunct professor positions at several Greek institutions including University of Central Greece, University of the Aegean, and University of Crete. Dr. Mylonas holds a PhD in Electrical and Computer Engineering from the National Technical University of Athens, a Master's Degree in Advanced Information Systems from the National and Kapodistrian University of Athens, and a Diploma in Electrical and Computer Engineering from the National Technical University of Athens. His research spans Artificial Intelligence applications, data science, user modeling, personalization technologies, and semantic frameworks. His scholarly output shows a clear trajectory toward increasingly sophisticated AI applications, with recent publications focusing on ChatGPT integration, fuzzy logic systems, and multimodal interaction. The research demonstrates strong interdisciplinary connections between computer science, education, and cultural heritage preservation. Thomaidio Grant for Science and Art Progress (2005, 2006) ICCS-NTUA Short Term Research Grant (2005-2006) As an academic leader, Dr. Mylonas has served as Director of the Humanistic and Social Informatics Laboratory at Ionian University (2013-2022) and as a Senior Researcher at the Image, Video and Multimedia Laboratory at National Technical University of Athens. He has been instrumental in organizing numerous international conferences and has served on over 200 conference program committees. His laboratory work spans multiple institutions including collaborations with University of Patras and Ionian University.

Meena Jhaمشاهده پروفایل

استاد مدعو

• Artificial Intelligence in Education
• Academic Integrity
• Game-based Learning
• +۴ مورد دیگر

Meena Jha serves as an Adjunct Professor within the Faculty of Arts and Education at Central Queensland University (Brisbane, Australia), specializing at the intersection of Education and Information and Communication Technology (ICT). Her academic profile emphasizes innovative applications of artificial intelligence to transform pedagogical practices and assessment methodologies across higher education contexts. Her research program critically examines Artificial Intelligence in Education , with particular focus on conversational agents for academic integrity support, generative AI integration across curricula, and game-based learning frameworks. She investigates how dynamic feedback systems and virtual teaching assistants can enhance student engagement while addressing pandemic-accelerated challenges in online assessment. Her work consistently bridges theoretical educational research with practical technological implementations, especially in computing education and internationalized curriculum design. Analysis of her 2025 publications reveals three dominant research trajectories: (1) AI-driven assessment innovation through chatbots and automated response systems, (2) ethical frameworks for academic integrity in AI-enhanced environments, and (3) data visualization and gamification techniques for student engagement. These strands converge around leveraging technology to create adaptive, reflective learning experiences that maintain academic rigor during digital transformation. While specific grant funding details aren't documented in the source material, her extensive collaboration network—including researchers like Josiah Koh, Anupam Makhija, and Sanjay Jha—demonstrates active participation in multi-institutional educational technology projects. Her publications suggest involvement in curriculum development initiatives, particularly for internationalized first-year computing programs and AI-integrated pedagogy across disciplines.

Jeffrey Fosterمشاهده پروفایل

دانشیار

• Cybersecurity
• Memory Science
• Psychology
• +۳ مورد دیگر

Jeffrey Foster is an Associate Professor at the School of International Studies, Macquarie University. He holds a PhD in Psychology from Victoria University of Wellington (2013), focusing on the reliability of witness testimony in legal contexts. His research interests span cybersecurity behavior, memory science, and the societal impacts of misinformation. Notable projects include exploring self-efficacy in cybersecurity habits and public responses to cyber threats. He collaborates widely on topics like AI ethics and reality monitoring in digital environments. Recent work addresses risks posed by large language models (LLMs) and chatbots to human cognition, as well as BYOD security strategies rooted in dual-process theory. Media contributions include expert commentary on high-profile data breaches (e.g., Optus, Medibank). He has supervised projects like 'The Influence of Self-Efficacy and Intentions on Cybersecurity Behaviour' and maintains active collaborations in cybersecurity education and forensic psychology.

Maikel Veroudenمشاهده پروفایل

مدرس

• Statistics
• Statistical Genetics
• Plant Breeding
• +۳ مورد دیگر

Dr. Maikel Verouden is a Lecturer and Researcher at Wageningen University & Research's Biometris (merged Mathematical and Statistical Methods group and Business Unit Biometris). He holds a PhD in Biosystems Data Analysis from the University of Amsterdam and has expertise in statistics, statistical genetics, R programming, and software development. His roles include teaching courses on statistics and R, managing IT infrastructure for Biometris, and representing the Plant Science Group on WUR's IT User Council. Education: PhD in Biosystems Data Analysis (2012, University of Amsterdam), MSc in Chemistry (2005, University of Amsterdam), and BSc in Environmental Analytical Chemistry (1998, HAN University of Applied Sciences). Research focuses on statistical software development (e.g., R packages for genomic analysis), proficiency testing in statistics, and systems biology of microorganisms. He has contributed to projects like the BrAPI interface for plant breeding and the Integrated Breeding Platform. His work bridges statistical methodologies with practical applications in agriculture and life sciences. As IT contact, he coordinates technical support for Biometris, liaising with IT facilities and managing high-performance computing resources. His open-source contributions include R packages like 'brapir' for Breeding API integration.

Burak Galip Aslanمشاهده پروفایل

مدرس

• Decision-support systems
• Expert systems
• Forecasting
• +۷ مورد دیگر

Burak Galip Aslan is a Lecturer in the Computer Engineering Department at Izmir Institute of Technology (IZTECH). He has been affiliated with the institution since 2000. His academic journey includes a B.Sc. in Electrical and Electronics Engineering from Dokuz Eylul University (2000), an M.Sc. in Computer Software from IZTECH (2003), and a Ph.D. in Computer Engineering from Ege University (2010). Education: B.Sc. Electrical and Electronics Engineering, Dokuz Eylul University (2000) M.Sc. Computer Software, Izmir Institute of Technology (2003) Ph.D. Computer Engineering, Ege University (2010) Research Interests: His work focuses on educational technology, adaptive learning systems, and computational methods in education. Key areas include decision-support systems, Bayesian modeling for academic achievement, cloud-based e-learning architectures, and learning style analysis through behavioral data. He also explores hands-on educational approaches in computer hardware instruction for secondary students. Courses Taught: Core courses include Logic Design (CENG 214), Microprocessors (CENG 384), Probability and Statistics (CENG 222), Professional Ethics in Computer Engineering (CENG 411), and Research Methodology (CENG 518). His teaching integrates laboratory work involving digital circuits, microcontroller programming, and ethical considerations in technology. Publications: His research highlights include studies on Bayesian techniques in language education, cloud deployment for e-learning systems, and learning style validation frameworks. Recent work emphasizes practical educational tools like hardware teaching modules for high school students. Laboratory Contributions: Develops hands-on experiments in digital systems design, including BCD-to-7-segment displays, combinational circuits, and microcontroller-based projects. These labs emphasize troubleshooting, ADC interfacing, and embedded systems development.

• Disinformation Studies
• Political Communication
• Social Media Effects
• +۵ مورد دیگر

Brahim Zarouali serves as Assistant Professor at KU Leuven's Faculty of Social Sciences, conducting research through the Media, Information & Persuasion Lab. His work focuses on digital society challenges including disinformation, algorithmic influence, and human-machine communication. Current institutional roles include membership in the Faculty Council, Diversity Team FSS, and POC Communicatiewetenschappen Curriculum Committee. Research interests center on disinformation susceptibility , political microtargeting , and social media effects on adolescents. Key projects examine online harmful discourse (2025-2029), social media addiction among teens (2025-2029), and disinformation countermeasures in Flanders (2024-2028). His work employs longitudinal designs, machine learning approaches, and experimental methods to analyze cognitive and behavioral impacts of digital environments. Publication trends reveal strong focus on Disinformation mechanisms in election contexts Platform interventions against social bots Adolescent privacy behaviors on TikTok Metaverse adoption drivers with methodologies spanning computational communication, survey experiments, and AI-driven analysis. As promotor or co-promotor, Zarouali leads eight major research initiatives totaling over €2.5M in funding, including Flemish-Dutch disinformation monitoring collaboration and migration conflict resolution through communication. His lab (Parkstraat 45, room 04.149) develops digital tools for data collection via conversational agents while addressing ethical challenges in digital society research.

• Technology Ethics
• AI and Data Ethics
• Neuroethics
• +۶ مورد دیگر

Prof. Saskia Nagel is a University Professor and Head of the Applied Ethics Department at RWTH Aachen University's Faculty 7, focusing on interdisciplinary research at the intersection of ethics, technology, and cognitive sciences. She leads the Human-Technology-Center and is affiliated with the Medical Science and Technology (MedST) and Information & Communication Technology (ICT) profiles, as well as the Center for Artificial Intelligence and 4TU Centre for Ethics and Technology. Her expertise spans neuroethics, AI ethics, biomedical ethics, and the ethical implications of human-technology interaction. Education: She holds a BSc and MSc in Cognitive Science (University of Osnabrück), with a focus on neuroscience, and a PhD on neuroethics and brain surveillance/manipulation. As a postdoctoral researcher, she led a group exploring brain plasticity's societal impacts. Previously, she was an Assistant Professor of Philosophy and Technology Ethics at the University of Twente, Netherlands. Research focuses on ethical challenges posed by emerging technologies like neurotechnologies, AI, and data science, particularly their effects on human autonomy, trust, and societal values. Current projects address ethical frameworks for AI in healthcare, explainability standards, and digital sovereignty. She advises the European Commission and international institutions on ethical technology governance. Labs/Teams: Her interdisciplinary group collaborates globally to explore how technology shapes human self-perception and values. Key collaborations include The Neuroethics Collective and international academic partners. Her work emphasizes fostering human flourishing through responsible technological advancement.

Michael Zinkمشاهده پروفایل

استادیار

• Network Protocols
• Multimedia Distribution
• Wireless Networks
• +۵ مورد دیگر

Michael Zink is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Massachusetts Amherst and an adjunct assistant professor in the Manning College of Information and Computer Sciences (CICS). He is affiliated with the Microwave Remote Sensing Laboratory and has held roles including assistant research professor in computer science. His research focuses on network protocols, multimedia distribution systems, and high-bandwidth data networks, with contributions to the KOMSSYS streaming platform and FPGA-based network architectures. Zink's work spans topics like secure video streaming, LED wall calibration, and federated learning for sustainable UAV operations. He received the Best Paper Award at Multimedia Computing and Networking (2008). Education: PhD from Darmstadt University of Technology. Research Interests: Sensor networks, wireless and wired multimedia distribution, network protocol optimization, video streaming security, and distributed cloud platforms. Recent work includes innovations in hue-preservation for virtual production and carbon-efficient federated learning (CEFL). Technical Contributions: Developed systems for real-time route configuration of entertainment content, scanner noise elimination in film restoration, and profile-based HDR content generation. His team explores network-attached FPGAs in cloud environments and edge-to-cloud workflows for scientific applications. Labs & Teams: Active in the Microwave Remote Sensing Laboratory and collaborates with the Open Cloud Testbed (OCT) for cloud infrastructure research. Engaged in federated cyberinfrastructure projects like the ERN Cryo-EM Pilot.

• eHealth
• Digital Mental Health Interventions
• Personalization of eHealth Technologies
• +۷ مورد دیگر

Iris ten Klooster is a researcher affiliated with the Psychology, Health & Technology and Biomedical Signals and Systems domains. Her work focuses on eHealth technologies, particularly the personalization and tailoring of digital mental health interventions, user segmentation, and telemonitoring systems. She holds an ORCID ID (0000-0003-0508-033X) and has an h-index of 35 based on Scopus citations.