جستجوی استاد راهنمای دانشگاهی

Juan Zhaiمشاهده پروفایل

استادیار

• Software-AI Synergy
• Software Dependability
• Formal Specification Synthesis
• +۴ مورد دیگر

Juan Zhai is an Assistant Professor in the Manning College of Information & Computer Sciences (CICS) at University of Massachusetts Amherst, where she co-directs the Laboratory for Advanced Software Engineering Research (LASER) and participates in the UMass NLP group. Her academic career spans over 7 years of active service including program committee roles at top-tier conferences like ICSE, FSE, and ASE. Her research focuses on Software-AI Synergy with core areas including: Formal Specification Synthesis for precise software behavior definition Comment Generation and Maintenance using LLMs Trustworthy AI through bias detection and framework testing Deep Learning Infrastructure Reliability Recent work demonstrates strong emphasis on practical tools for AI safety and software dependability. Her publication trends show consistent output in top software engineering venues (ASE, ICSE, FSE) with increasing focus on AI/ML conferences (ACL, CVPR, ICLR). Key themes include metamorphic testing for deep learning frameworks, bias analysis in LLMs, and formal methods for specification synthesis. She actively serves the community through: Program committees for 13 major conferences Reviewing for 5 top journals including TOSEM and TSE 40+ total reviews across SE and AI venues Juan mentors PhD students including Gehao Zhang (research focus: Software Engineering, AI Safety) and teaches graduate courses like CS520 (Theory and Practice of Software Engineering) and CS692P (Hot Topics in SE Research). She leads the LASER lab which develops tools like C2S, CPC, and DevMuT for software reasoning and AI infrastructure testing.

• Machine learning methods development
• Bioinformatics
• Biological sequence analysis
• +۸ مورد دیگر

Ole Winther is a Professor at the Department of Biology, University of Copenhagen, specializing in Computational and RNA Biology. He also holds a joint appointment as Professor at DTU Compute, Technical University of Denmark. His research bridges machine learning, bioinformatics, and natural language processing with applications in biological sequence analysis, transcriptomics, and health informatics. Education: 1998: PhD in Physics, University of Copenhagen 1994: Master of Science in Physics, University of Copenhagen Winther's research focuses on developing advanced machine learning methodologies for biological applications. He has pioneered protein language models for sequence analysis (DeepLoc, SignalP, DeepTMHMM), interpretable deep learning for RNA subcellular localization, and benchmarking frameworks for DNA language models. His work spans latent variable models, variational inference, diffusion models, and novel architectures for deep generative modeling, with increasing emphasis on practical healthcare applications including rare disease diagnosis through findzebra.com and medical question answering with large language models. Scientific Recognition: ELLIS Fellow (2021) Head of ELLIS Copenhagen Unit H-index of 61 (Google Scholar, May 2023) 19,700+ citations (Google Scholar, May 2023) Winther has supervised 25+ PhD students to completion with 7 currently in progress, along with over 100 master's projects. He frequently serves as PhD opponent and committee chairman across European institutions. His research is supported by substantial funding including multiple Novo Nordisk Foundation grants totaling over 60 million DKK for the Center for Basic Machine Learning Research in Life Science and CAZAI projects, plus significant funding from the Danish Independent Research Fund. He leads an active research group developing cutting-edge machine learning approaches for bioinformatics and NLP challenges. Winther co-founded two spin-out companies: findzebra.com (2014, 2018), a search engine for rare diseases, and raffle.ai, an NLP startup for enterprise search. He initiated DTU's popular BSc in AI and Data program and teaches the highly enrolled MSc course in Deep Learning (450+ students) and PhD course in Bayesian Data Analysis.

Kajsa Haagمشاهده پروفایل

استادیار

• Family Business Succession
• Strategic Renewal
• Legal Regulation of Ownership
• +۷ مورد دیگر

Kajsa Haag is an Assistant Professor and Associate Dean of Faculty at Jönköping International Business School (JIBS), affiliated with the Centre for Family Entrepreneurship and Ownership (CeFEO). She holds a dual role as former Co-Director of CeFEO and collaborates with stakeholders to co-create knowledge with practical relevance for family businesses. Her research focuses on succession practices, strategic renewal, legal ownership frameworks, and the Swedish furniture industry, employing interpretative methodologies. Research & Projects: She leads a multidisciplinary research project funded by Jan Wallanders och Tom Hedelius Stiftelse and Tore Browaldhs Stiftelse, investigating ownership dynamics in private businesses. Her doctoral work, 'Rethinking Family Business Succession: From a Problem to Solve to an Ongoing Practice,' redefines succession as an evolving process within family enterprises. Teaching & Engagement: Teaches strategy, family business management, and thesis supervision across academic levels. Engages with practitioners through seminars, executive training for owner families, and advising on succession strategies. She collaborates with accountants, bankers, and family business councils to bridge academic and practical insights. Key Research Themes: Family Business Succession Mechanisms Legal and Regulatory Challenges Gender Dynamics in Family Enterprise Corporate Entrepreneurship in Family Contexts Historical Perspectives on Family Business Longevity

Thomas L. Martinمشاهده پروفایل

استاد

• Wearable and Pervasive Computing
• Digital Design
• Interdisciplinary Design
• +۳ مورد دیگر

Thomas L. Martin is a Professor and Bradley Faculty Fellow of Education in the Bradley Department of Electrical and Computer Engineering at Virginia Tech. His work spans wearable/pervasive computing, interdisciplinary design, and educational innovation. He holds a Ph.D. (1999) and M.S. (1994) from Carnegie Mellon University, and a B.S. (1992) from the University of Cincinnati. His research focuses on wearable computing systems, e-textiles, and curricular design. Notable contributions include developing hybrid exoskeletons, e-textile energy systems, and interdisciplinary learning frameworks. He is a leader in engineering education reform, emphasizing threshold concepts and project-based learning. Key Awarde : Bradley Faculty Fellow of Education Teaching/Research Themes : Wearable tech, medical workspace innovation, and adaptive lifelong learning Service : Active in curriculum redesign initiatives and interdisciplinary team processes His over 150 publications span topics from e-textile architectures to healthcare workspace design. Current projects explore the intersection of art/science in engineering education and scalable e-textile manufacturing.

Tobias Bergerمشاهده پروفایل

دانشگاهی

• International Political Sociology
• Transnational Politics of the Global South
• Human Rights
• +۱۳ مورد دیگر

Prof. Dr. Tobias Berger is Junior Professor of Political Science with a focus on Transnational Politics of the Global South at the Otto Suhr Institute for Political Science, Freie Universität Berlin. He is also a Principal Investigator in the Excellence Cluster 'Contestations of the Liberal Script' (SCRIPTS). His work bridges international relations, political sociology, and legal anthropology, with a strong emphasis on the Global South. University: Free University of Berlin School: Otto Suhr Institute for Political Science Department: Department of Politics and Social Sciences Position: Junior Professor Education: PhD, Berlin Graduate School for Transnational Studies MPhil in Political Theory, University of Oxford BA in Politics & Development Studies, School of Oriental and African Studies (SOAS), University of London His research interests center on international political sociology , human rights beyond liberalism , legal pluralism , and transnational politics of South Asia . He employs ethnographic and interpretative methods to explore how global norms are translated in local contexts, particularly in Bangladesh and across the Global South. The recent articles reflect a strong trend toward critical approaches to human rights , translation theory , non-Western security practices , and post-liberal political orders . His work interrogates the liberal script in global governance, especially in education, security, and constitutionalism, often from a decolonial and relational perspective. Scientific Awards: No specific awards mentioned in the text. As a Principal Investigator in the SCRIPTS excellence cluster, he leads major research initiatives such as 'De-Centering Human Rights', 'Negotiating the Future of Education', and 'Security Doctrines in a Changing World'. He has collaborated with institutions like UNESCO and the OECD and has secured funding for interdisciplinary, transregional research. He has advised on development and humanitarian projects in Cambodia and worked with indigenous communities in Ecuador. He has edited influential volumes like World Politics in Translation (2018) and special issues on transnational non-state actors. He is affiliated with research networks across Europe and the Global South and contributes to debates on global governance, norm contestation, and epistemic justice.

• Machine Learning
• Data Mining
• Bioinformatics
• +۱۱ مورد دیگر

Andrea Passerini is a Full Professor in the Department of Information Engineering and Computer Science at the University of Trento, Italy, where he also serves as Coordinator of the PhD programme in Information Engineering and Computer Science (Ministerial Decree 45/2013). His academic footprint spans multiple departments including Mathematics, Sociology, Cellular Biology, and Industrial Engineering, reflecting deep interdisciplinary engagement across computational sciences and life sciences. His research centers on Machine Learning and Data Mining with specialized expertise in Neuro-Symbolic AI , Probabilistic Reasoning , and Statistical Relational Learning . He pioneers methods for graph-based learning, medical AI applications, and explainable systems, with significant contributions to bioinformatics (particularly RNA-protein interactions) and healthcare diagnostics. His work bridges theoretical rigor with practical implementations in critical domains. Analysis of his 2025 publications reveals dominant trends in neuro-symbolic integration for graph data, human-AI collaboration in medical decision-making, and robust recommender systems. His research increasingly focuses on interpretable AI for high-stakes applications like surgical planning and physician support, while advancing foundational techniques in graph neural networks and concept-based modeling. As PhD programme Coordinator, Professor Passerini mentors doctoral candidates across AI and computer science disciplines. His collaborative network extends to medical researchers at CIBIO (Cellular, Computational and Integrative Biology department) and industrial partners, though specific lab structures aren't documented in available materials. Current projects emphasize medical AI validation, temporal network modeling, and LLM integration with structured reasoning frameworks.

• Human Activity Recognition
• Wearable Sensors
• Machine Learning
• +۴ مورد دیگر

Thomas Ploetz is an Adjunct Professor in the School of Electrical and Computer Engineering at Georgia Institute of Technology. His work focuses on sensor-based human activity recognition, wearable computing, and computational behavior analysis with applications in healthcare, smart homes, and education. He leads interdisciplinary research integrating machine learning, IoT systems, and human-centered design. His research interests include improving activity recognition robustness through synthetic data generation, developing explainable AI for time-series analysis, and advancing healthcare technologies like diabetic foot ulcer monitoring systems. He explores ethical implications of wearable sensing in diverse populations, including underrepresented groups. Key contributions include IMUTube (virtual sensor data generation), ProxiCycle (cyclist safety monitoring), and DISCOVER (smart home activity recognition framework). His work addresses challenges in data scarcity, domain adaptation, and long-term system maintenance in pervasive computing environments. He has been awarded grants such as the GVU/IPaT Research and Engagement Grant (2020), and his research appears in top venues like UbiComp and ISWC. He actively contributes to the wearable computing community through conference organization and editorial work.

Anne Broadbentمشاهده پروفایل

استاد

• Quantum Information Processing
• Cryptography
• Quantum Communications
• +۳ مورد دیگر

Anne Broadbent is a Full Professor at the University of Ottawa's Department of Mathematics and Statistics within the Faculty of Science. She holds a Tier 1 Canada Research Chair in Quantum Communications and Cryptography. Her academic journey includes an MSc and PhD from the University of Montreal. Her research focuses on quantum information processing and cryptography, with a particular emphasis on quantum communication protocols, encryption, and secure computation. She has contributed to groundbreaking work in quantum homomorphic encryption, uncloneable encryption, and quantum delegation protocols. Broadbent supervises graduate students including Daniel Lovsted, Sherry Wang, Pierre Botteron, Nagisa Hara, and Peter Yuen, often in collaboration with colleagues at institutions like Toulouse. Her research group explores discrete mathematics and analysis, alongside quantum information theory. Her recent articles highlight advancements in quantum proof systems, secure quantum communication architectures, and cryptographic primitives resistant to cloning. These contributions underscore her role in advancing theoretical and applied aspects of quantum information science.

Sagar Samtaniمشاهده پروفایل

دانشیار

• Artificial Intelligence for Cybersecurity
• Cyber Threat Intelligence
• Deep Learning
• +۵ مورد دیگر

Sagar Samtani is an Associate Professor and Weimer Faculty Fellow at the Kelley School of Business , Indiana University. He serves as Director of the Kelley’s Data Science and Artificial Intelligence Lab (DSAIL) . His research focuses on Artificial Intelligence for Cybersecurity , including cyber threat intelligence, deep learning, and dark web analytics. He holds a PhD from the University of Arizona (2018), and has received prestigious awards such as the Indiana University Outstanding Junior Faculty Award (2023) and IEEE Big Data Security Junior Research Award (2023). Education : PhD in Information Systems, University of Arizona, 2018 MSMIS, University of Arizona, 2014 BSBA, University of Arizona, 2013 Research Interests : Samtani’s work addresses cybersecurity challenges through AI, including proactive threat detection, vulnerability assessment, and healthcare analytics. He emphasizes explainable AI (XAI) for transparency in cybersecurity systems. Grants & Awards : NSF Grant: CyberCorps SFS Program ($2.3M, 2020–2025) NSF Grant: AI4Cyber Research Education ($300K, 2020–2022) Multiple teaching awards, including the Trustees Teaching Award (2023) and recognition as one of Top 50 Undergraduate Professors (2022) Labs & Teams : Leads the DSAIL lab, focusing on AI-driven solutions for business and cybersecurity. Collaborates with NSF-funded initiatives on cyber AI education and threat intelligence.

• Coffee Chemistry
• Food Science
• Analytical Chemistry
• +۳ مورد دیگر

Samo Smrke is a Researcher at the ZHAW School of Life Sciences and Facility Management, specializing in the Coffee Competence Centre and Analytical Technologies. His work focuses on advancing coffee science through projects like the SCA Coffee Expertise Program and collaborations with industry leaders such as Nespresso and Julius Meinl. He has led multiple research initiatives including studies on coffee freshness, roasting effects, aroma release mechanisms, and packaging technologies. Smrke's research interests span coffee chemistry, analytical techniques, and sensory analysis. He has published extensively on topics such as degassing kinetics of roasted coffee, antioxidant generation during roasting, and aroma modulation in instant coffee products. His work often employs advanced methods like proton transfer reaction mass spectrometry (PTR-MS) and gravimetric analysis. He is a co-author of influential books including The Coffee Freshness Handbook and The SCA Water Quality Handbook , which provide foundational knowledge for industry professionals. Smrke’s projects frequently bridge academic research with practical applications, addressing challenges in coffee production, storage, and quality assurance.

Madis Talmarمشاهده پروفایل

استادیار

• Innovation Ecosystems
• Entrepreneurship Education
• Energy Transition
• +۳ مورد دیگر

Madis Talmar is an Assistant Professor of Innovation and Entrepreneurship at Eindhoven University of Technology (TU/e) , affiliated with the Industrial Engineering and Innovation Sciences (ITEM) Group . He holds a Ph.D. from TU/e and a D.Sc. from Aalto University (2018), focusing on organizing innovation in transitioning domains. His teaching includes the Introduction to Technology Entrepreneurship course (425+ students) and the Data Entrepreneurship in Action III at the Jheronimus Academy of Data Science. He has been nominated for the Industria Teaching Award three times (2017–2019). His research centers on innovation ecosystems , open innovation programs , and energy transition dynamics . He pioneered the Ecosystem Pie Model (published in Journal of Business Venturing Design ), a tool for analyzing innovation ecosystems. He supervises 2 PhD students and 1 PDEng, contributing to projects like the SMART-SPACE Interreg initiative . His sectoral expertise spans energy and mobility, with consultancy work for corporations in Spain, Germany, Sweden, and Belgium. Madis has authored over 70 student theses across levels and co-founded three startups. His awards include a nomination for the Best TU/e PhD Dissertation Award (2019) and a Best Paper Award nomination (2019). He also chairs entrepreneurship education initiatives like the 4TU Entrepreneurship Research Network and organizes conferences on topics like regional energy strategy.

Katja Krauseمشاهده پروفایل

استاد

• History of Science
• Medieval Philosophy
• Medieval Medicine
• +۳ مورد دیگر

Prof. Katja Krause holds a dual role as Professor at Technische Universität Berlin’s Institute of Philosophy and leader of the Max Planck Research Group "Experience in the Pre-Modern Sciences of Soul and Body (800–1650)". Her expertise spans medieval thought, history of science, and philosophy, with specialization in Arabic-Latin transmission of knowledge. She earned her PhD in 2014 from King’s College London, followed by postdoctoral fellowships at the Max Planck Institute for the History of Science and Harvard Divinity School. Her research focuses on the empirical turn in 13th-century scholasticism, medieval medical epistemology, and Albert the Great’s integration of Arabic sources. Education: PhD in History of Science (King’s College London, 2014) Key Positions: Assistant Professor in Medieval Thought (Durham University, 2016/17); Leopoldina Fellow (Harvard Divinity School, 2017/18) Her work explores how sensory experience shaped medieval scientific and philosophical inquiry, particularly in Aristotelian commentaries and medical practices. Recent publications include edited volumes on premodern experience, Albert the Great’s Arabic sources, and Averroes’ influence on empiricism. Current projects investigate neural epistemologies, medieval medical knowledge, and cross-cultural scientific exchange. Grants & Projects: Leads the MPIWG research group; collaborates on global epistemic frameworks (e.g., "Experiencing Nature through Old and New Epistemes")

George Vourosمشاهده پروفایل

استاد

• Artificial Intelligence
• Multi-Agent Systems
• Reinforcement Learning
• +۷ مورد دیگر

George Vouros is a Professor in the Department of Digital Systems at the University of Piraeus, Greece. He is the head of the AI Lab (http://ai-group.ds.unipi.gr/ai-group/) and director of the MSc in Artificial Intelligence program in collaboration with the Institute of Informatics and Telecommunications at NCSR Demokritos. He completed his BSc in Mathematics (1986) and PhD in Artificial Intelligence (1992) at the University of Athens. His research focuses on Expert Systems, Knowledge Management, Multi-Agent Systems, Reinforcement Learning, and Mobility Analytics. He has served as program chair and committee member for major conferences (AAMAS, AAAI, IJCAI) and editorial roles in journals like Discover Artificial Intelligence (Springer Nature) and Information (MDPI). He has supervised 13 PhD students and currently oversees 4. His work spans EU-funded projects and national initiatives, emphasizing scalable mobility analytics, air traffic management automation, and ontology engineering. He is also President of the Hellenic A.I. Society and actively promotes interdisciplinary applications of AI in healthcare, transportation, and environmental monitoring. Recent research highlights include deep reinforcement learning for tactical air traffic conflict resolution, LLM-integrated ontology engineering, and multimodal generative adversarial imitation learning for flight trajectory modeling. His work bridges theoretical advancements with real-world applications in critical infrastructure systems.

Santiago Ontañónمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Game AI
• +۱۰ مورد دیگر

Santiago Ontañón is an Associate Professor in the Department of Computer Science at Drexel University's College of Computing and Informatics. He is also a Senior Research Scientist at Google DeepMind, reflecting a strong dual affiliation in both academic and industrial AI research. His work bridges theoretical AI with practical applications in gaming and machine learning. PhD in Computer Science (Artificial Intelligence), cum laude, Autonomous University of Barcelona Postdoctoral Researcher, Georgia Institute of Technology Researcher, Artificial Intelligence Research Institute (IIIA), Barcelona, Spain Dr. Ontañón's research focuses on artificial intelligence, machine learning, and robotics, with a particular emphasis on game AI. His interests span case-based reasoning, reinforcement learning, Monte Carlo tree search, player modeling, and procedural content generation. He has made significant contributions to AI in real-time strategy games and explainable AI systems. His recent publications reflect a consistent trend in AI for games, hierarchical planning, and learning from demonstration. The articles span topics such as reproducible deep reinforcement learning, adaptive player modeling, and integrating domain knowledge into search algorithms, indicating a mature and impactful research trajectory in AI and game technologies. Senior Research Scientist, Google DeepMind Organizer, microRTS AI Competition Advising multiple PhD students in AI and game-related topics He has advised numerous PhD students, many of whom have completed their theses on advanced AI topics in games and reasoning. His research is supported by access to substantial computational resources and collaborative networks in both academia and industry. He actively promotes open science by releasing software, data, and teaching materials. He leads research efforts in AI for games and maintains an active lab focused on game AI, with projects like microRTS, FTL, and Darmok. His team develops systems for reinforcement learning, planning, and natural language understanding in game environments.

• Marketing
• International Marketing
• Digital Marketing
• +۷ مورد دیگر

Huda Khan is a Senior Lecturer in Marketing at the Business School of the University of Aberdeen, where she also serves as Director of the MSc Marketing Management Program and Associate Director of the Africa-Asia Centre for Sustainability Research. She holds a PhD in Marketing from the University of South Australia and has previously worked as a marketing academic there, engaging in high-value research projects with global brands through the Ehrenberg-Bass Institute. University: University of Aberdeen School: Business School Academic Rank: Senior Lecturer Email: huda.khan@abdn.ac.uk Office: 719, MacRobert Building, UK Education: PhD in Marketing, University of South Australia, 2016 Graduate Certificate in Digital Learning, University of South Australia, 2020 Huda Khan’s research centers on international marketing, sustainability, digital transformation, and SME internationalization. Her work explores strategic agility, responsible innovation, and the impact of digitalization on business models and consumer behavior. She is particularly interested in emerging markets and the challenges faced by firms in volatile environments. Her recent publications (2023–2025) span top journals such as Journal of Business Research , Industrial Marketing Management , International Business Review , and European Journal of Marketing . The articles reflect a strong interdisciplinary focus on sustainability, digitalization, and international business, with recurring themes of strategic agility, value co-creation, and responsible innovation. She has also contributed to book chapters and edited special issues on sustainability and marketing disruption. Scientific Awards and Recognitions: Fellow of the Royal Society of Arts Endorser of Responsible Research in Business & Management (RRBM) Certified Practising Marketer (CPM), Australian Marketing Institute Affiliate Professional, Chartered Institute of Marketing (CIM) Member, BAM Peer Review College (2023–2026) Huda Khan has secured research funding from the Society for Advancement of Management Studies and the Royal Society of Edinburgh for projects on supply-chain resilience and women-led startups in Pakistan. She is actively supervising PhD students in Business Management, with a focus on international marketing, digital marketing, and sustainability. She serves on the editorial boards of several journals, including Industrial Marketing Management and Journal of Business Research , and is an Associate Editor for Rutgers Business Review . She is also an External Examiner at the University of Sussex and the University of Kent. Huda is actively involved in research centers and networks, particularly the Africa-Asia Centre for Sustainability Research, where she contributes to cross-regional sustainability initiatives. She has also led special issues on climate change, de-globalization, and sustainable partnerships, reflecting her leadership in shaping scholarly discourse on global business challenges.