جست‌وجوی استاد و پژوهشگر

• Artificial intelligence in cyber/information Security
• IoT/IIoT vulnerability analysis and security
• Zero-trust architecture for IIoT
• +۷ مورد دیگر

Dr. Sadaf Hina is a Lecturer in Cybersecurity at the School of Science, Engineering and Environment (SSEE), University of Salford, Manchester, UK. She serves as the Programme Leader for the BSc Computer Science with Cybersecurity and holds significant research leadership roles as REF 2029 Co-Lead for People, Culture and Environment. Dr. Hina is an active member of the IoT Research and Innovation Lab (IRIL) and contributes to the Informatics Research Centre at the university. Her research interests span the critical intersection of artificial intelligence and cybersecurity, with specific expertise in IoT/IIoT security, zero-trust architectures, threat modeling in cyber-physical systems, and AI-aided security optimization. Over the past five years, her publication record shows consistent output in high-impact journals, with a notable increase in 2023-2025 focusing on cutting-edge applications of deep learning and vision transformers for security challenges. Her work demonstrates strong connections between theoretical security frameworks and practical industrial applications, particularly in critical infrastructure sectors. Dr. Hina has received significant professional recognition including: Fellow of the Higher Education Academy (FHEA, 2024) Advance HE Aurora Leadership Development Program certification (2025) REF Co-Lead roles for both People, Culture and Environment (2025) and Contributions to Knowledge and Understanding (2023) Editorial position for Applied Sciences journal (2024) Membership in professional organizations including IEEE (since 2014) and British Computer Society As a dedicated educator, Dr. Hina teaches Information Security, Information Security Management, Network Penetration Testing, Security and Privacy in IoT, and Fundamentals of Cybersecurity. She actively supervises BSc final year projects, MSc dissertations, and three PhD candidates working on AI-aided cybersecurity solutions. Her leadership extends to serving as Faculty Advisor for Women in Cybersecurity (WiCyS) and participation in cross-institutional mentoring programs, demonstrating commitment to developing the next generation of cybersecurity professionals.

Wolfgang Kratschمشاهده پروفایل

استاد پژوهشی

• Process Mining
• Artificial Intelligence in Business Processes
• Data-Driven Process Management
• +۳ مورد دیگر

Prof. Dr. Wolfgang Kratsch serves as Research Professor for Applied AI at Augsburg University of Applied Sciences, Director of the FIM Research Institute for Information Management, and holds a leading position in Fraunhofer FIT's Business Information Systems division. He co-founded and manages the Center for Process Intelligence, driving industry-academia collaboration in digital transformation. His educational background includes B.Sc. and M.Sc. in Business Informatics from the University of Augsburg (2017), followed by a summa cum laude doctorate in data-driven management of process networks from the University of Bayreuth (2020). University of Augsburg: B.Sc./M.Sc. Business Informatics (2017) University of Bayreuth: PhD in Data-Driven Process Network Management (2020) Dr. Kratsch's research centers on data-driven process management , focusing on data extraction, quality assurance, and AI-driven context-sensitive process optimization. His methodology emphasizes design science research yielding prototype implementations for immediate practical use. Key domains include process mining, robotic process automation, and generative AI integration in business workflows, with strong industry applicability. Core Methodology: Design Science Research Technical Focus: Event Log Generation, Object-Centric Process Mining Application Areas: Manufacturing, Healthcare, Transportation His publication trajectory (2021–2025) reveals accelerating integration of generative AI with process mining , particularly in unstructured data extraction (text/video) and automated process improvement. Recent works emphasize practical industry solutions in manufacturing error analysis, airport operations, and medical monitoring, demonstrating consistent collaboration with industrial partners like Munich Airport. No scientific awards were explicitly mentioned in the source material. Dr. Kratsch actively contributes to academia through teaching at Augsburg and Bayreuth Universities, industry project leadership, and startup mentorship. His spin-off credium GmbH (founded 2020) built a 15-person AI/data science team, reflecting his entrepreneurial approach to translating research into market solutions. Current projects prioritize practical AI deployment in serial production and process intelligence systems. Teaching: Lectures/seminars at Augsburg & Bayreuth Universities Startup Experience: credium GmbH (Data Science/AI focus) Industry Projects: Manufacturing optimization, airport operations He leads the FIM Research Institute and Center for Process Intelligence, directing multidisciplinary teams in developing process mining prototypes. His labs focus on bridging academic research with industrial deployment, particularly in video-based process monitoring and generative AI for business process design.