Find Academic Supervisors

Jossy MathewView profile

Senior Lecturer

• Human Resource Management (HRM) Tensions
• Coping Mechanisms in Fast Growth Firms
• Project-Based Organizations
• +5 more

Dr. Jossy Mathew is a Senior Lecturer in Human Resource Management (HRM) and Organizational Behaviour at Swansea University's School of Management. He holds a PhD from Cardiff University and has extensive experience in academia, including roles at Middlesex University and Cardiff Business School. His research focuses on HRM tensions, organizational culture, and expatriation in emerging economies. He has secured grants from ESRC and ICSSR and collaborates with leading academics globally. Dr. Mathew teaches modules like International Human Resource Management and People Policies in Practice, emphasizing ethical HR practices and organizational agility. Education: PhD from Cardiff University Grants: ESRC, ICSSR, and intra-university funding Consultancy: Performance management, salary policy, and management development programs His research highlights include studies on project-based organizations in Bangalore, expatriate relationships in UK healthcare, and organizational culture's impact on effectiveness. He is actively developing new grant applications and supervising postgraduate research in HRM and performance management.

Ameer BasitView profile

Senior Lecturer

• Workforce Engagement
• Organizational Behavior
• Human Resource Management
• +6 more

Dr. Ameer Basit is a Senior Lecturer in Management and Marketing at the University of Dundee’s School of Business, serving as Head of the Management and Marketing Team. He holds a PhD in Management from the National University of Malaysia (UKM) and brings over two decades of academic and industry experience. Prior to this role, he held leadership positions such as Dean, Head, and Programme Director at Pakistani universities. Education: PhD in Management, National University of Malaysia (2014) MBA (Details unspecified) Bachelor’s degree in Software Engineering (Implied by career background) Research Focus: Dr. Basit’s work centers on workforce engagement dynamics, integrating insights from computer science, social psychology, and organizational behavior. Key areas include talent acquisition, retention strategies, and the impact of workplace loneliness on well-being. His interdisciplinary approach leverages statistical modeling and data analytics to inform workforce management practices. Teaching: He teaches at all academic levels, including modules like Managing Teams in a Multicultural World , Strategic Management & Organisational Analysis , and Leadership and Decision Making . Professional Affiliations: Chartered Management Institute Membership (2024) Active in Scopus-indexed research with an h-index of 21 and 200+ citations Labs/Teams: Leads the Management and Marketing Team at Dundee, fostering collaborative research in organizational dynamics and workforce sciences.

• Software Composition
• Web 2.0 Mashups
• Cloud Computing
• +6 more

Cesare Pautasso is a Full Professor at the Software Institute within the Faculty of Informatics at the Università della Svizzera italiana (USI) in Lugano, Switzerland. His research focuses on software composition techniques, Web 2.0 mashups, cloud computing, business process management, and RESTful API design. He has led projects like JOpera, a service composition tool, and contributed to frameworks such as Liquid Software for adaptive distributed systems. Education: PhD in Computer Science from ETH Zurich (2004) and a Computer Science Engineering Degree (cum laude) from Politecnico di Milano (2000). Research Interests include model-driven engineering, service-oriented architectures, and API analytics. He has authored over 200 publications and serves on numerous program committees, including IEEE and ACM. His work has been funded by grants from Swiss National Science Foundation (SNSF), EU projects like S-CUBE, and industry collaborations. Teaching and Training: Focuses on Web Development, Enterprise Architecture, and emerging technologies. Active in conferences as general chair of ECOWS 2011 and ICWE 2016. Labs/Teams: Leads research groups exploring API design, blockchain applications, and adaptive systems. Collaborates with institutions like HPI Potsdam and ETH Zurich on projects like FC4MC and API-ACE.

Bob DohertyView profile

Professor

• Sustainable Food Systems
• Social Enterprise Management
• Public Policy
• +3 more

Professor Bob Doherty serves as Dean of the School for Business and Society at the University of York. A leading scholar in hybrid organizations, fair trade, and sustainable food systems, he holds a Professorship in the field of management and public policy. He has secured over £10.1m in grant funding, including a £6m UKRI award for the FixOurFood project, which focuses on regenerative food systems. His research bridges academia and policy, with significant contributions to DEFRA's science research program and advisory roles for the National Food Strategy and Co-op's Future of Food Strategy. Research & Grants Principal Investigator of FixOurFood (£6m, 2020) IKnowFood Project (£3.4m, 2016) ESRC Business Boost Grant (2018) on hybrid organizations in agriculture Newton Fund Grant (2018) for small-scale agriculture in the Mekong Region Policy & Public Engagement Provided oral/written evidence to UK Parliament committees (House of Commons, EFRA, Lords Food Poverty) and advised on national food strategies. Serves as a trustee of the Fairtrade Foundation and member of Fera Science Committee. Education & Students Supervises PhD students in areas like UK Food Poverty, Big Data in food trust incidents, and socio-ecological supply chains. Former roles include Deputy Dean (2013-2015) and Acting Dean (2015-2016) at York Management School. Labs & Collaborations Lead of N8 Food Systems Policy Hub Director of YESI Sustainable Food Research Theme Collaborations across UK universities (Oxford, Leeds, Manchester, etc.) and global partners

Peter BuxmannView profile

Professor

• Artificial Intelligence
• Digital Transformation
• Business Informatics
• +4 more

Prof. Dr. Peter Buxmann is a full professor of business informatics at the Technical University of Darmstadt, holding the Chair in this field. He is an internationally renowned speaker, senior business advisor, and podcaster for the Frankfurter Allgemeine Zeitung. His roles include advisory board memberships for institutions like the Weizenbaum Institute for the Networked Society and Eckelmann AG. His research focuses on AI applications, digital transformation, and future work paradigms, with over 300 publications in top journals and conferences. Education: PhD and habilitation from University of Frankfurt, including a research stay at UC Berkeley's Haas School of Business. Previous positions: Professor at Technical University of Freiberg (2000-2004). Research Interests: Artificial Intelligence (applications in business, healthcare, and ethics), Digital Transformation (organizational and societal impacts), Data-Driven Business Models (platform economics, innovation ecosystems), and Future of Work (human-robot collaboration, agile principles). Keynote Topics: Generative AI and its industry applications Strategic digital transformation frameworks Ethical AI governance Labs/Teams: Leads the HIGHEST innovation center at TU Darmstadt and collaborates with TechQuartier Frankfurt. Founded multiple startups focusing on AI solutions.

Peggy GregoryView profile

Senior Lecturer

• Agile Software Development
• Sustainability in IT
• Software Project Management
• +3 more

Dr. Peggy Gregory is a Senior Lecturer at the University of Glasgow’s School of Computing Science, specializing in empirical software engineering with a focus on human and socio-technical aspects. Her research explores agile methodologies, sustainability practices, and IT workplace dynamics through qualitative methods, often collaborating with industry partners. She chairs the XP Conference Series Steering Committee and co-founded the Agile Research Network, fostering long-term industry-academia collaborations. Key research interests include agile transformation, software project management, and ethical software engineering practices. Her education and professional background are not explicitly detailed in the provided text, but her extensive industry partnerships highlight practical relevance. Research grants include funding from the Agile Business Consortium (2017–2026), DSDM grants (2013–2016), and a Case Study Award for Responsible Research & Innovation (2013). Dr. Gregory leads projects on agility, sustainability, and IT practices, with current funded initiatives in all three areas. She advises doctoral students on topics like DevSecOps frameworks, social robotics integration, and sustainable software engineering. Notable contributions include developing an onboarding model for agile teams and studying leadership dynamics in agile software development. Her work bridges academia and industry, emphasizing practical impact through empirical studies. Recent publications focus on agile culture transformation, risk mitigation in re-engineering, and the ethical implications of digital technologies. She is actively involved in conferences such as XP and IVA, contributing to both research and community-building efforts.

Barry SmithView profile

Professor

• Applied Ontology
• Artificial Intelligence
• Biomedical Informatics
• +5 more

Barry Smith is a SUNY Distinguished Professor of Philosophy at the University at Buffalo, holding the Julian Park Chair in the Department of Philosophy. He also serves as Director of the National Center for Ontological Research (NCOR) and maintains affiliate appointments in Biomedical Informatics and Computer Science & Engineering. With joint appointments across multiple departments, Smith is a leading figure in the field of applied ontology and its applications across disciplines. Smith received his PhD in Philosophy from the University of Manchester in 1976, following MA and BA degrees in Mathematics and Philosophy from Oxford University. His educational background reflects his interdisciplinary approach that bridges philosophy, mathematics, and computer science. Smith's research focuses primarily on applied ontology, with significant contributions to biomedical informatics, artificial intelligence, and philosophy of science. His work has established foundational frameworks that enable data integration and knowledge representation across multiple domains. He has pioneered the development of Basic Formal Ontology (BFO), which has become the most widely adopted top-level ontology framework and was approved as an ISO standard (ISO/IEC:21838-2). His research has significantly influenced the Open Biomedical Ontologies (OBO) Foundry, a suite of interoperable ontology modules supporting biology and biomedicine research. Smith's publications over the past five years demonstrate a consistent focus on the applications of ontology to pressing scientific challenges, particularly in biomedical domains (including COVID-19 research), artificial intelligence limitations, and knowledge representation. His work spans theoretical developments in formal ontology while maintaining strong practical applications in real-world information systems. Wolfgang Paul Award of the Alexander von Humboldt Foundation (2002) Paolo Bozzi Prize in Ontology (2011) Fellow of the American College of Medical Informatics (FACMI) (2013) Smith has supervised numerous graduate students and postdoctoral researchers, contributing to the development of a new generation of ontologists. His research has been supported by major funding agencies including the National Institutes of Health, National Science Foundations of the US, Switzerland and Austria, the Volkswagen Foundation, the European Union, and the US Department of Defense. Since 2000, he has served as a consultant to Hernando de Soto on projects related to property and business rights among the poor in developing countries. As Director of the National Center for Ontological Research, Smith leads a team focused on advancing ontological methods and applying them to diverse domains including biomedical informatics, defense intelligence, and industrial engineering. His work continues to shape how we represent and integrate knowledge across disciplinary boundaries.

Arash Habibi LashkariView profile

Associate Professor

• Cybersecurity
• Network Security
• Threat Hunting
• +7 more

Dr. Arash Habibi Lashkari is an Associate Professor and Canada Research Chair in Cybersecurity at York University's School of Information Technology. He holds a PhD from the University of Technology Malaysia and completed a Post-Doc at the University of New Brunswick. With over 25 years of teaching experience, he specializes in cybersecurity risk management, malware analysis, and threat hunting. He pioneered Canada’s first cybersecurity Capture the Flag (CTF) competition for post-secondary students and has authored 10 books and over 110 academic articles. Research Interests: Cybersecurity, Network Security, Threat Hunting, Malware Analysis, Cybersecurity Risk Management, and Blockchain Security. He leads the Behaciour-Centric Cybersecurity Center (BCCC), focusing on vulnerability detection technologies and cybersecurity dataset generation. Awards: Mitacs 150 Top Researchers (2017), University of New Brunswick Teaching Innovation Award (2020), Gold Medal at 2020 Canadian Online Publishing Awards, and multiple international security competition awards. His work has been featured in CBC, CIC, and global cybersecurity conferences. Key Projects: Development of intrusion detection datasets (e.g., CIRA-CIC-DoHBrw-2020), malware analysis frameworks, and AI-driven cybersecurity tools. He actively collaborates with organizations like Aviva and NICT on cybersecurity resilience strategies. Teaching: Offers courses in Digital Forensics, Network Security, and Cybersecurity Management. His 'Think-Que-Cussion' teaching methodology emphasizes interactive learning.

Ingrid Bauer-HänselView profile

Assistant Professor

• Blockchain Applications
• Data Markets and Platforms
• Agile IT Management
• +3 more

Ingrid Bauer-Hänsel is an Assistant Professor of IT Management at the University of St. Gallen (HSG), affiliated with the Information Management (IWI-HSG) department. Her academic career includes roles as a Senior Technology Manager at Chage:ON (AMAG Group) and a doctoral researcher at the University of Zurich. She holds a Ph.D. in Blockchain Information Systems from the University of Zurich and a M.Sc. in Business Administration and Information Systems from Copenhagen Business School. Her research focuses on blockchain technologies, data markets, agile IT systems, and interorganizational systems design. Notable projects include the InnoSuisse Cardossier Project and studies on blockchain consortia. Bauer-Hänsel teaches courses such as Agile IT and Organization , Information Management , and Business Informatics 1 at both bachelor and master levels. She received the 2018 2nd Runner-up Best Paper Award at the ICIS conference. Her work explores socio-technical systems, tokenization, and AI-driven business models, with a particular emphasis on automotive and financial sectors. Current initiatives include designing blockchain-based data markets and exploring generative AI’s impact on knowledge work. Bauer-Hänsel’s professional background includes IT consulting at PwC, risk management roles at Danske Bank, and academic research at IBM and the Karlsruhe Institute of Technology. She actively contributes to bridging academic research with industry applications through collaborative projects and advisory roles.

Ricardo A. CalixView profile

Professor

• Machine Learning
• Natural Language Processing
• Deep Learning
• +4 more

Ricardo A. Calix is a Professor of Computer Information Technology at Purdue University Northwest. His research focuses on Machine Learning, Natural Language Processing, AI applications in Cyber Security and Healthcare, and Deep Learning methodologies. He holds a Ph.D. in Engineering Science from Louisiana State University. Key research areas include ethical AI model analysis, reinforcement learning for aerospace control systems, and industrial automation through machine learning. His work spans cybersecurity tools (e.g., CyberSecTK) and healthcare data mining from social media. Calix has secured grants as PI/Co-PI for projects like 'Detection of Potential Drug Effects from Twitter Data' (NIH) and 'A Smart and Fast IDS' (Northrop Grumman). He authored Getting Started with Deep Learning: Programming and Methodologies Using Python (2017). Recent publications (2023-2024) address biases in AI models, blast furnace automation, and autonomous aircraft control via reinforcement learning. His work bridges theoretical AI with practical applications in industry and security.

Niko MäkitaloView profile

Assistant Professor

• Cyber-Physical Systems
• AI/ML Software Engineering
• IoT Architectures
• +3 more

Niko Mäkitalo is an Assistant Professor at the University of Jyväskylä's Faculty of Information Technology and a member of the University Consortium Chydenius. His research focuses on advancing cyber-physical systems through innovative software architectures for AI, IoT, and the Cloud-Edge Continuum, with significant emphasis on hardware and network infrastructures. He teaches and mentors graduate students in these areas. Research Interests: Mäkitalo's work centers on creating intelligent environments via novel software frameworks, engineering methodologies for distributed AI/ML applications, and addressing ethical/privacy challenges in edge computing. He explores the intersection of agile development practices, third-party code management, and industry standards like IDSA/GAIA-X for AI integration. Key Contributions: His recent work includes studies on software ownership dynamics, regulatory-aware AI deployment, and liquid AI systems. He leads the Empirical Software Engineering Research group and collaborates on initiatives like 6GSoft for edge-cloud software solutions. Advising & Grants: Mäkitalo supervises Master's and Ph.D. candidates in software engineering and systems architecture. His projects often involve industry partnerships to address real-world challenges in smart manufacturing, autonomous systems, and networked environments. Labs/Teams: Active in the Empirical Software Engineering Research group, contributing to cross-disciplinary projects at the University of Jyväskylä's tech innovation ecosystem.

August BlackView profile

Assistant Professor

• Philosophy of Technology
• Software Studies
• Techno-Politics
• +6 more

August Black is an Assistant Professor in the Department of Critical Media Practices at the University of Colorado Boulder. As a hybrid practitioner of art, design, and engineering, he creates experimental spatial and acoustic systems by building custom technological artifacts. His work critically engages techno-social systems through live networked audio, user-generated content, and immersive installations. BFA, Syracuse University MS & PhD, UC Santa Barbara (NSF IGERT Fellow) His research explores the intersection of philosophy of technology, software studies, and AI ethics. Current projects investigate global networking for hyper-local communication, while past work includes networked radio systems and generative audio-visual platforms. He has taught at UC Santa Barbara, University of San Francisco, and CU Boulder. Recent projects include Pulse Memorial (2024), a mobile multichannel memorial system, and Audio Compost (2022), a virtual frippertronic loop project. His work often incorporates WebRTC, FM radio integration, and participatory frameworks across digital and physical environments. NSF IGERT Fellow Black has advised PhD candidate Nima Bahrehmand and collaborated with institutions like ORF Kunstradio, Ars Electronica Futurelab, and Cycling '74. His practice includes software development (janode library for Janus WebRTC), hardware engineering, and exhibitions at festivals including Ars Electronica and SIGGRAPH.

Ilker HacihalilogluView profile

Associate Professor

• Artificial Intelligence in Healthcare
• Medical Image Processing
• Machine Learning Applications
• +8 more

Dr. Ilker Hacihaliloglu is an Associate Professor in the Department of Radiology and Medicine at the University of British Columbia's Faculty of Medicine. He holds a PhD from UBC (2010) and has held faculty positions at Rutgers University (2014-2021). His research focuses on applying machine learning to medical imaging, aiming to bridge clinical and engineering research for practical healthcare solutions. Key areas include AI-driven diagnostics, ultrasound imaging, and personalized medicine. Education: B.Sc. and M.Sc., Istanbul Technical University (2001, 2004) Ph.D., University of British Columbia (2010) Postdoctoral Fellow, Vancouver General Hospital (2010-2013) Research Interests: Artificial Intelligence in Medical Imaging Ultrasound-Based Diagnostics Image-Guided Surgery Computer-Aided Diagnostics for Orthopedics and Neurosurgery His work emphasizes explainable AI, standardization in machine learning metrics, and clinical translation of technologies. Scientific Contributions: Over 35 peer-reviewed articles (2019-2025) highlight innovations in medical image segmentation, AI-driven radiomics, and cross-modality imaging. Recent trends focus on synthetic data augmentation, diffusion models for medical imaging, and curriculum development in AI for healthcare. Grants and Advising: No explicit grants mentioned, but active mentorship in interdisciplinary research teams. Collaborations span clinicians, engineers, and computer scientists to address real-world healthcare challenges. Labs/Teams: Engaged in computational ultrasound and AI-driven diagnostics initiatives, though specific lab names are not provided in the text.

Anjali SandipView profile

Academic

• Computational Mechanics
• High-Performance Computing
• Machine Learning
• +5 more

Anjali Sandip is a Teaching Assistant Professor in the Mechanical Engineering Department at the University of North Dakota's College of Engineering and Mines. She holds a Ph.D. in Mechanical Engineering from the University of Kansas and maintains an active research program in computational mechanics, high-performance computing, and machine learning. Her educational background includes a Doctor of Philosophy and Master of Science in Mechanical Engineering from the University of Kansas, and a Bachelor of Engineering in Mechanical Engineering from Osmania University in Hyderabad, India. She previously served as a post-doctoral researcher at the University of Nebraska, where she developed patient-specific computational models for peripheral artery disease treatment. Dr. Sandip's research spans computational mechanics, high-performance computing, uncertainty quantification, physics-informed machine learning, and multi-physics modeling. Her work has significant applications in ice sheet dynamics, medical device modeling, and multi-phase flow simulations. She has developed open-source software frameworks that integrate finite element and finite volume methods with uncertainty quantification tools. Her recent publications demonstrate a strong focus on developing computational frameworks for multi-physics problems, with particular emphasis on GPU acceleration, uncertainty quantification, and machine learning integration. The research shows consistent application of these methods to challenging problems in earth sciences, biomedical engineering, and traditional mechanical engineering domains. Scientific Awards: NSF EPSCoR Research Fellow (2024-25) Dr. Sandip actively mentors both undergraduate and graduate researchers, and she is currently seeking Master's and Ph.D. students interested in computational mechanics, applied mathematics, scientific machine learning, and earth sciences. She serves as an active member of the Association of Computational Mechanics (USACM & IACM) and has delivered numerous presentations at professional conferences. Her research has received support from prestigious organizations including the National Science Foundation (NSF), Department of Energy (DOE), and NVIDIA. She teaches courses including Introduction to Mechanical Engineering, Thermodynamics, Machine Component Design Laboratory, Advanced Finite Element Methods, Modeling Glaciers and Ice Sheets, Statics, and Engineering Ethics, demonstrating her broad expertise across mechanical engineering disciplines.

• Semantic Web and Ontology Engineering
• Agent-Based Modeling
• Knowledge Graphs
• +4 more

Giovanna Di Marzo Serugendo is a researcher affiliated with the University of Geneva (Faculty of Social Sciences, Centre for Informatics) and the Institute of Information Service Science (ISS) . Her work spans semantic technologies, agent-based modeling, and sustainable systems. Research interests focus on Semantic knowledge graphs for regulatory compliance Ontology-driven resource management Self-organizing systems inspired by biological models AI applications in smart grids and urban mobility Digital agriculture platforms for smallholder farmers Recent publications highlight trends in ontology automation using LLMs, agent-based simulations for urban planning, and KG-enhanced compliance frameworks . She leads projects integrating digital twins with smart energy systems and develops bio-inspired coordination paradigms. Supervised works include 17 research projects in these domains. Current technical reports and conference papers explore cybersecurity-safety interdependencies in autonomous vehicles and decentralized event source detection in sensor networks.