جست‌وجوی استاد و پژوهشگر

• Technology-supported learning
• Human-computer interaction
• Accessibility, universal design
• +۷ مورد دیگر

Professor Charalambos Karagiannidis serves at the Department of Early Childhood Education and Educational Design (PTEA), University of Thessaly since 2005, holding the academic rank of Professor specializing in Applications of Information and Communication Technologies in Education and Special Education. His educational credentials include a Mathematics Degree from Aristotle University of Thessaloniki (AUTH), MSc in Information Technology from the University of London, and PhD in Electronic Engineering from the University of Kent, UK. Research leadership spans critical domains in inclusive educational technology: Technology-supported learning frameworks Human-computer interaction for special needs Accessibility and universal design principles Assistive technology development Educational robotics applications Augmented reality educational tools Gamification of learning processes MOOC implementation strategies Elderly education through ICT Recent publications (2014-2022) demonstrate concentrated expertise in deploying robotics for autism inclusion, augmented reality social interventions, hybrid programming MOOCs, and adaptive hypermedia systems - consistently addressing diverse learner needs across age groups and abilities. Academic service includes membership in ETPE and IEEE's TeDISABLE SIG within the TCLT Committee, alongside active participation in program committees for international journals and conferences. Teaching portfolio encompasses core curriculum development: ICT in Education & Special Education (1st semester) Educational Software & Applications (2nd semester) E-Learning (3rd semester) Application Development for Education & Special Education (8th semester) ICT in Special Education (Postgraduate) New Technologies, Education & Sustainability (Postgraduate) Contact accessibility: Email: karagian@uth.gr Office: Papastratos Complex, Rosa Imvrioti Building, 2nd floor, No 13 Telephone: 24210-74895 Office Hours: Tuesday 18:00-20:00 (MS Teams), Friday 10:00-12:00 (in-person)

Artan Lumaمشاهده پروفایل

استاد

• Cryptography
• Blockchain Technology
• Cybersecurity
• +۶ مورد دیگر

Artan Luma is a Full Professor at the Faculty of Contemporary Sciences and Technologies at South East European University in Tetovo, Macedonia. His career spans 20+ years in academia, focusing on cryptography, cybersecurity, and blockchain technologies. He has held leadership roles such as Deputy Director of the e-Learning Center since 2005. PhD in Computer Sciences (SEEU, 2010) MSc in Electrical Engineering Science (State University of Prishtina, 2007) Engineer of Informatics (State University of Tetova, 2002) Luma's research bridges theoretical and applied domains, including blockchain-based academic credential verification , IIoT cybersecurity frameworks , and data mining for curriculum-job market alignment . His recent publications highlight smart contract implementations and machine learning-enhanced security systems . As a co-author, Luma collaborates with researchers like Halil Snopce, Azir Aliu, and Ylber Januzaj. His work appears in journals such as IEEE, SAR Journal, and TEM Journal, with a 2025 article on test coverage analysis.

Mathew Garnettمشاهده پروفایل

استاد پژوهشی

• Cancer Genomics
• Drug Sensitivity in Cancer
• Synthetic-lethal Dependencies
• +۶ مورد دیگر

Dr. Mathew Garnett is a Group Leader in Translational Cancer Genomics at the Wellcome Sanger Institute, where he was appointed to the Faculty in 2014. His research focuses on understanding how genetic alterations in cancer cells impact responses to anti-cancer therapies, with the goal of developing more precise cancer treatments. He leads the Garnett Group within the Cancer, Ageing and Somatic Mutation Programme and is a key member of the Cancer Dependency Map initiative. Dr. Garnett's educational background includes: BSc. in Biochemistry (Hons.) from the University of British Columbia, Canada (1999) PhD from The Institute of Cancer Research, London, UK (2005), where he worked on BRAF as a human cancer gene Postdoctoral research at the University of Cambridge with Prof. Ashok Venkitaraman, supported by a Canadian Institute of Health Research fellowship Dr. Garnett's research spans four complementary areas: the genomics of drug sensitivity, synthetic-lethal dependency mapping, organoid cancer models, and tumor-immune cell interactions. His lab performs high-throughput drug sensitivity screens across >1000 cancer cell models, genome-wide CRISPR-Cas9 screens to identify new drug targets, and develops next-generation organoid models that better capture tumor heterogeneity. His work integrates molecular cell biology, high-throughput screening, and cancer genomics to identify biomarkers that predict drug response and discover new therapeutic targets. His team has developed three major public resources: the Genomics of Drug Sensitivity in Cancer (GDSC), Project Score database, and Cell Model Passports. Analysis of Dr. Garnett's recent publications (2024-2025) reveals a strong focus on precision cancer medicine through genomic approaches. His work spans cancer dependency mapping using CRISPR screens, development of advanced cancer models including organoids, and identification of novel therapeutic targets and drug combinations. Key themes include synthetic lethality in microsatellite unstable cancers (particularly targeting WRN helicase), mechanisms of drug resistance, tumor-immune interactions, and computational approaches to integrate multi-omic data for precision oncology. Dr. Garnett's research has generated widely used reference datasets for the scientific community and has directly contributed to the development and testing of new cancer therapies. His work on identifying Werner Syndrome helicase as a synthetic-lethal target in microsatellite unstable cancers has led to the development of novel WRN Helicase Inhibitors. His team's databases (GDSC, Project Score, and Cell Model Passports) serve as critical resources for cancer researchers worldwide. Dr. Garnett leads a multidisciplinary team of researchers and has fostered numerous collaborations, including with the Open Targets partnership, Cancer Research UK, and the Human Cancer Models Initiative. His lab has developed innovative methods for cancer modeling and drug screening that have advanced the field of precision oncology. He is also a member of the scientific leadership team for Open Targets and the Cancer Research UK drug discovery small molecule expert review panel. The Garnett Lab maintains state-of-the-art facilities for robotics, acoustic dispensing, high-content microscopy, and CRISPR screening, enabling high-throughput approaches to cancer research. Through international collaborations like the Human Cancer Models Initiative, his team is generating and characterizing new patient-derived cancer models that better capture tumor heterogeneity for therapeutic development.

Diego Silva Muñizمشاهده پروفایل

استادیار

• Robotics
• Automatic Control
• Industrial Automation
• +۳ مورد دیگر

Dr. Diego Silva Muñiz is an Assistant Professor at the University of Vigo , affiliated with the School of Industrial Engineering and the Department of Marine Geosciences and Territorial Planning . His research bridges robotics, automation, and marine engineering, focusing on adaptive systems for dynamic environments. PhD in Systems and Automatic Engineering (2025) with a thesis on general-purpose machinery adaptability in maritime contexts. Advisor: Dr. Julio Garrido Campos. Research Interests : Robotics (Cable-Driven Parallel Robots, Stewart Platforms) Control Systems for Dynamic Environments 3D Printing and Circular Economy Marine Technology Applications Scientific Trends : Recent publications highlight his work on anomaly detection in robots, wave compensation systems, and sustainable maritime 3D printing. His research emphasizes automation frameworks for unconventional robotics and environmental sustainability. Labs & Teams : Member of the EN.EDI (Efficient and Digital Engineering) research group, advancing industrial automation and digital engineering solutions for maritime and robotic systems.

• Robotics
• Autonomous Systems
• Machine Vision
• +۵ مورد دیگر

Angelos Plastropoulos is a Lecturer in Automated Inspection and Diagnostics at Cranfield University's Centre for Autonomous and Cyberphysical Systems, within the School of Aerospace, Transport and Manufacturing. With 24 years of experience in software engineering, he specializes in robotics applications, particularly the Robot Operating System (ROS), and leads research in autonomous inspections for aerospace and industrial sectors. His roles include Deputy Course Director for the MSc program and Lab Manager for Automated Diagnostics and Robotics facilities. Research Focus: Plastropoulos investigates robotics, autonomous systems, and machine vision for non-destructive testing (NDT) in high-risk environments like offshore wind farms and aircraft hangars. His work emphasizes sensor fusion, defect detection, and structural health management, with applications in sustainable aviation and predictive maintenance. Publication Trends: His recent articles (2023–2025) focus on machine learning-enhanced aircraft inspections, ROS-based navigation, and digital twin technologies. Key themes include obstacle avoidance algorithms, thermographic defect detection, and smart hangar automation, reflecting a multidisciplinary integration of robotics, computer vision, and aerospace engineering. Awards: Associate Fellow of Advance Higher Education (2023) Leadership & Projects: He has managed 27 R&D projects, secured $20M in funding for Epic Health, and collaborates with industry partners like Boeing, BAE Systems, and Safran. His labs focus on autonomous diagnostics, and he mentors engineers in robotics and software architecture.

Mohamed Kariمشاهده پروفایل

پژوهشگر ارشد

• Human-Computer Interaction
• Mixed Reality
• Computer Graphics
• +۵ مورد دیگر

Mohamed Kari is a Presidential Postdoctoral Fellow at the Department of Computer Science, Princeton University , and an Associate Member at the University of Duisburg-Essen 's Integrated Information Systems research group. His work bridges Mixed Reality , Human-Computer Interaction , and Machine Learning , with a focus on semantically coherent, sensor-rich systems. PhD in Computer Science from University of Duisburg-Essen (with highest distinction) Fulbright Full Grant recipient for studies in the U.S. Research Interests span immersive technologies, sensor integration, and context-aware systems. He investigates how to seamlessly blend virtual actions with physical environments through Scene Responsiveness and develops audio-augmented reality applications like SoundsRide for automotive contexts. Article Trends reveal his focus on environmental manipulation in mixed reality affordance-synchronized user experiences pose-aware object substitution mobile and constrained VR input methods automotive context modeling Scientific Awards include Best Paper Awards at ACM UIST 2021 and 2023 Honorable Mention , as well as recognition for his dissertation with the highest distinction. Thesis Supervision at UDE involves rigorous requirements: English-language theses using LaTeX , original research with structured problem statements, and mandatory video presentations of contributions. He has guided students in topics like Intra-Company Networking Platforms and Automated UI Testing . Laboratory Affiliations include Princeton's Situated Interactions Lab , ETH Zurich's Sensing, Interaction & Perception Lab , and industry labs at Apple , Meta , and Porsche Emerging Tech Research .

Asta Slotkienėمشاهده پروفایل

دانشیار

• Software quality assurance
• Software development processes
• E-learning systems
• +۳ مورد دیگر

Assoc. Prof. Dr. Asta Slotkienė is an Associate Professor and Researcher at the Cybersocial Systems Engineering Group , Institute of Mathematics and Informatics, Vilnius University , Lithuania. She has been a faculty member since at least 2009 and is based at Akademijos St. 4, Vilnius. Education PhD in Computer Science Engineering, Kaunas University of Technology (2009) MSc in Computer Science Engineering, Kaunas University of Technology (2004) BSc in Physics and Computer Science, Šiauliai University (2002) Research Interests Dr. Slotkienė’s research spans software quality assurance , development process improvement , e-learning systems , and cognitive decision-making . She investigates how rigorous evaluation methodologies and AI techniques can enhance the reliability and usability of software products and services. Her recent work explores the intersection of large language models and automated software testing , as well as the modeling of web service quality using fuzzy logic and ontology-based approaches. Research Trends Across her latest publications, a clear trend emerges toward leveraging AI and machine learning , particularly large language models , to automate and improve software testing practices. Simultaneously, she continues to deepen the theoretical foundations of software and service quality modeling , integrating fuzzy logic , ontology engineering , and bibliometric analyses to build robust frameworks for quality evaluation. Scientific Service & Awards Program Committee Member: ACM/SIGAPP SAC (2023–2025) Organizing Committee Member: Baltic DB&IS 2024 Program Committee Member: SS AIEDUMED’25, CompSysTech’25 Reviewer for Informatica, Baltic Journal of Modern Computing, New Trends in Computer Sciences Projects & Funding 2022–2026 Master of Science in Smart, Secure and Interconnected Systems (EU Grant 101083531) 2022–2024 Embracing RAD Skills for Employability and Innovation 2020–2022 AI-Enhanced Accounting and Business Management Systems (Grant 01.2.1-LVPA-K-856-01-0083) 2014–2018 Erasmus+ “Open University for Virtual Mobility” (2014-1-LT01-KA203-000550) 2012–2015 Tempus “High Objectives of National Organizational Reform” (530284-TEMPUS+1-2012-1-ES-TEMPUS-JPHES) International Collaboration & Training Through multiple Erasmus+ teaching and learning visits (Las Palmas de Gran Canaria, Madeira, Azores, Maia), as well as participation in DeepLearn schools and professional training (Devbridge/Cognizant Softvision, Robotic Process Automation, Creative Commons, Contextual Modeling), Dr. Slotkienė actively fosters cross-border academic cooperation and continuous professional development.

Ansgar Merothمشاهده پروفایل

استاد

• Human-Machine Interface
• Automotive Systems Engineering
• Networked Control Systems
• +۴ مورد دیگر

Prof. Dr.-Ing. Ansgar Meroth is a Full Professor at Heilbronn University within the Faculty of Technology (also known as Faculty of Mechanics and Electronics). He serves as International Representative of the Faculty, Founding Dean at the German International University in Cairo, and holds a professorship in the Automotive Systems Engineering program. His research focuses on: Human-Machine Interface systems for vehicle applications Driving simulation and vehicle dynamics Networking in vehicles, special machinery, and elevator systems Car-to-X communication technologies Autonomous water vehicles and sensor networks Prof. Meroth's recent publication activity (2023-2025) shows a strong emphasis on networked control systems under bandwidth constraints, IoT applications in agriculture, and advanced communication protocols. His work bridges theoretical control systems engineering with practical automotive applications, evolving from fundamental automotive networking toward specialized applications in precision agriculture and autonomous systems. Professional leadership roles include: Deputy Program Director for International Automotive Management International Representative for Faculty of Technology Member of uniTyLab research group Member of University Senate His industry collaborations focus on: Intelligent charging stations for electric vehicles Autonomous boats development Smart agriculture sensor networks Hardware-in-the-loop testing systems Professional affiliations: Chair of VDI Neckar Group board Member of Württemberg Engineers' Association extended board Secretary of Lions Club Heilbronn-Wartberg (since 2015) Board member of Thomas-Gessmann Foundation

Hella Ponsarمشاهده پروفایل

عضو هیئت علمی

• Self-Organizing Systems
• Software Engineering
• Robotics
• +۳ مورد دیگر

Hella Ponsar is a Senior Researcher at the Institute for Software & Systems Engineering , Faculty of Applied Computer Science, University of Augsburg. Her work focuses on self-organizing software systems, testing adaptive systems, and applications in robotics and Industry 4.0. Research Interests: She investigates methods to prevent aging in software systems, systematic design of self-organizing systems, testing strategies for systems with unpredictable behavior, and ensemble programming for multipotent systems. Key projects include COMBO, TeSOS, and SAVE ORCA. Publications Overview: Her research spans self-organizing production cells, decentralized coordination, deadlock avoidance, and formal verification. Keywords include Robotics, Software Engineering, Adaptive Systems, and Trustworthy Systems. Scientific Awards: Award of the Swabian Economy 2012 (IHK Schwaben)

Masoud Akbarzadehمشاهده پروفایل

دانشیار

• Three-Dimensional Graphical Statics
• Structural Form Finding
• Computational Design
• +۶ مورد دیگر

Masoud Akbarzadeh is an Associate Professor of Architecture at the University of Pennsylvania's Stuart Weitzman School of Design, directing the Polyhedral Structures Laboratory (PSL) where he pioneers geometric approaches to structural design and digital fabrication. His work integrates architectural innovation with engineering precision to develop sustainable, high-performance building systems. His academic credentials include: D.Sc. from ETH Zurich's Institute of Technology in Architecture Master of Science in Architecture Studies (Computation) and M.Arch from MIT Degree in Earthquake Engineering from Iran University of Science and Technology B.S. in Civil and Environmental Engineering Dr. Akbarzadeh's research centers on Three-Dimensional Graphical Statics , revolutionizing structural form finding through polyhedral reciprocal diagrams. Key focus areas include computational geometry for spatial structures, digital fabrication of concrete and glass systems, and geometric optimization for environmental performance. His laboratory develops cutting-edge methods for translating theoretical geometry into buildable structures through advanced computational tools. Recent publications reveal accelerating innovation in carbon-capturing concrete using triply periodic minimum surfaces, ultra-thin glass bridges, and machine learning-enhanced structural design. His work consistently bridges theoretical geometric principles with practical applications in sustainable construction and renewable energy infrastructure, demonstrating increasing interdisciplinary impact. Major recognitions include: National Science Foundation CAREER Award (2020) Top 100 Innovators & Entrepreneurs Magazine (2025) SOM award for MIT thesis As principal investigator, he leads significant research initiatives including the NSF CAREER project on 3D graphic statics and collaborative EAGER grants for offshore renewable energy structures. Though specific students aren't listed, he mentors through PSL and teaches graduate courses like Structures II and Technology Lab, fostering next-generation designers in computational structural engineering. CAREER: 3D/Polyhedral Graphic Statics for Education, Design, and Optimization (2020) Collaborative EAGER: Harnessing Ocean Wave Energy with 3D Printed Structures (2024) The Polyhedral Structures Laboratory drives experimental research in geometric structural systems, producing breakthroughs like the Tortuca glass bridge and Terrene 2.0 biomaterial composites. Through partnerships with industry and academic institutions, PSL advances the frontiers of structural design, fabrication technology, and sustainable material applications in architecture.

Basiyr D. Rodneyمشاهده پروفایل

دانشیار

• Educational Technology
• Instructional Design and Technology
• Multimedia and Multimodal Design for Learning
• +۷ مورد دیگر

Basiyr D. Rodney serves as Associate Professor of Educational Technology and Chair of the Department of Teacher Education at Webster University's School of Education in St. Louis, Missouri. He prepares K-12 teachers and learning design professionals committed to democratic and socially just learning approaches powered by innovation and technology. His work spans teaching, research, and leadership within educational technology and teacher preparation. Dr. Rodney's research interests focus on emerging technologies, new learning and design approaches, and collaborative meaningful learning with technology. He has developed software applications for teacher evaluations and learning games for Teacher Candidates. His expertise extends to the history of the Caribbean, American History, African Slavery in the Atlantic World, International Politics, and American Education history and policy. He teaches courses in technology education, social foundations, and innovative practices, emphasizing democratic learning environments and digital equity. His publications reveal a strong focus on educational technology integration, particularly examining how internet-connected technologies transform learning environments. Recent work explores the Internet of Things in education, playful robotics in early childhood settings, and social media applications for teacher development. His research consistently addresses how technology can support democratic, socially just learning approaches while enhancing cognitive development and meaningful learning experiences across diverse educational contexts. Dr. Rodney holds degrees in History and Government from the University of the West Indies at Mona Jamaica, and degrees in Education Technology and Curriculum from Florida Atlantic University. He has taught teachers in multiple countries across the K-12 education spectrum and continues to write and comment on historical and educational topics. He actively participates in educational leadership through board memberships with The Soulard School, Connected Learning, The Alliance for Interracial Dignity in Webster Groves Missouri, and the Webster Center for Creativity and Innovation in Geneva. Additionally, he serves as President of the Pan African Ahmadiyya Muslim Association USA, demonstrating his commitment to community engagement beyond academia.

• Cybersecurity
• Artificial Intelligence
• Unmanned Aerial Systems
• +۳ مورد دیگر

Dr. Michael Pelosi serves as an Associate Professor in the Department of Electrical and Computer Engineering at Mercer University's School of Engineering. With over 30 years of academic experience since teaching his first college course in Hawaii at age 27 (1994), he has instructed approximately 70 distinct course titles and over 300 total courses, predominantly at the graduate level. A U.S. Army veteran originally from New Jersey, Dr. Pelosi brings substantial real-world expertise from founding a decade-long solar energy simulation software company that served global clients and conducting research for Sandia National Labs and NIST. His educational credentials include: PhD in Computer Information Systems from Nova Southeastern University (2010) MBA from City University of Seattle (1992) BA from City University of Seattle (1991) Dr. Pelosi's research demonstrates exceptional interdisciplinary breadth, focusing on cybersecurity applications in digital forensics and steganography, AI-driven military training simulations, and unmanned aerial systems for search/rescue operations. His work consistently bridges theoretical computer science with defense-sector practicality, particularly in UAV trajectory optimization under radar detection constraints and modeling integrated air defense systems like the S-400. This fusion of aerospace engineering, artificial intelligence, and military science reflects his commitment to solving high-stakes operational challenges. Analysis of his 2012-2021 publications reveals a strategic progression toward increasingly sophisticated defense technologies, with recent work emphasizing AI integration in military training systems and digital forensic methodologies. The consistent thread across his scholarship is the application of advanced algorithms—particularly genetic algorithms and terrain-masking techniques—to enhance autonomy in critical defense scenarios while maintaining rigorous academic standards through publications in journals like the Journal of Digital Forensics, Security and Law and the International Journal of Aviation, Aeronautics and Aerospace. His scientific recognition includes: Three US patents for innovations in defense and simulation technologies Though his biography doesn't specify current advisees, Dr. Pelosi's three decades of graduate-level instruction suggest extensive student mentorship. His research trajectory shows evolution from Sandia National Labs collaborations to current DARPA funding pursuits, indicating sustained relevance in defense technology. Notably, his entrepreneurial background in solar simulation software demonstrates unique industry-academia integration rarely seen in engineering faculty. While no dedicated research laboratory is explicitly mentioned, Dr. Pelosi's UAV and military simulation work implies active collaboration with defense-focused research groups within Mercer's engineering infrastructure, particularly through his School of Engineering affiliations and ongoing pursuit of advanced defense contracts.

• Software Anomaly Detection
• Railway Safety
• Intrusion Detection
• +۴ مورد دیگر

Tommaso Zoppi is a Fixed-term researcher (RTD-A) at the University of Florence, Department of Mathematics and Computer Science 'Ulisse Dini', specializing in computer science with a focus on anomaly detection and cybersecurity for critical systems. He is affiliated with the RCL Group and maintains an active research and teaching schedule within the Computer Science program. Current Position: Fixed-term researcher under Law 240/10 (RTD-A) Department: Mathematics and Computer Science 'Ulisse Dini' Research Group: RCL Group Contact: Room 156, Viale Morgagni 65, Florence, Italy Dr. Zoppi earned his Bachelor's degree in Computer Science from the University of Florence in October 2012, followed by his Master's degree in July 2014. He completed his PhD in Mathematics, Computer Science, Statistics (Computer Science curriculum) from November 2014 to November 2017 under the supervision of Prof. Andrea Bondavalli. His research interests span across multiple critical domains including safety in railway systems, anomaly detection in dynamic and complex cyber-physical systems, intrusion detection based on machine learning approaches, and crisis management support systems. His work bridges theoretical machine learning concepts with practical applications in safety-critical environments where system failures could have severe consequences. Recent publications demonstrate his focus on making machine learning classifiers more reliable and safe for deployment in critical infrastructure. Zoppi's publication record shows a clear trajectory of increasing impact, with numerous papers in IEEE, ACM, and other reputable venues. His recent work (2023-2025) focuses on practical implementations of anomaly detection in real-world systems like power grids, railway infrastructure, and ROS2-based cyber-physical systems. A notable trend is his exploration of how to make machine learning classifiers aware of their own limitations, particularly in safety-critical contexts where knowing when a classifier is uncertain could prevent catastrophic failures. As an educator, Zoppi has served as a tutor for undergraduate Computer Science students since March 2015, helping first-year students organize their studies and facilitating student-professor relationships. He has taught multiple courses including 'Quantitative Analysis of Systems,' 'Computer Architectures,' and 'Data Collection and Machine Learning for Critical Cyber-Physical Systems' across various academic years from 2018-2023. His research is conducted primarily through the RCL Group at the University of Florence, where he collaborates with Andrea Ceccarelli, Andrea Bondavalli, and other researchers on projects related to dependable computing and critical systems. His work often involves practical implementations and testing in real-world scenarios, particularly in railway safety and power grid security applications.

Robert Nehmerمشاهده پروفایل

استاد

• Accounting Information Systems
• Auditing
• Blockchain Technology
• +۸ مورد دیگر

Robert Nehmer is a Professor of Accounting at the School of Business Administration, Oakland University. He holds a Ph.D. in Accounting from the University of Illinois at Urbana-Champaign, where he also completed his master's and bachelor's degrees in Accountancy. Dr. Nehmer teaches graduate and undergraduate courses in auditing and accounting information systems. His research explores formal systems, internal controls, software agents, and emerging technologies in accounting. Key focus areas include blockchain applications, drone technology in auditing, cloud-based systems, continuous auditing frameworks, XBRL implementations, and financial ontologies. He collaborates with industry partners including KPMG on drone-enabled auditing research. Publications demonstrate strong emphasis on technology-driven accounting innovations, particularly blockchain systems (2020), drone auditing frameworks (2017), AI in education (2024), and semantic modeling of financial data (2022). His work consistently bridges theoretical accounting concepts with applied technological solutions. Awards & Recognition: University Service Award, Oakland University/SBA (April 2016) 10 Year Service Award, Oakland University (February 2016) He maintains active membership in the American Accounting Association, Information Systems Audit and Control Association, XBRL-US, and the Object Management Group's Finance Domain Task Force.

Fabio Patriziمشاهده پروفایل

دانشیار

• Formal Methods
• Knowledge Representation
• Machine Learning
• +۷ مورد دیگر

Fabio Patrizi is an Associate Professor in Computer Science at the Department of Computer, Control and Management Engineering (DIAG) at Sapienza University of Rome. He serves as Coordinator of the Bachelor in Information Engineering program at the Latina site. His academic career includes significant service roles such as Editorial Board Member for the prestigious Artificial Intelligence Journal (AIJ) since 2023, Area Chair for ICSOC 2023, and co-chair for the KR 2025 track on Knowledge Representation & Reasoning and Planning & Scheduling. Patrizi's educational background led to National Scientific Habilitation for Full Professorship for sector SC 09/H1 (now GSD 09/IINF-05). His research spans Formal Methods, Knowledge Representation, Machine Learning, Reasoning about Action, Planning in AI, Service-oriented Computing, and Business Processes. His work focuses on theoretical, methodological, and practical aspects including Behavior and Service composition, Planning programs, MAS Verification, Reasoning About Actions, Infinite-plan synthesis, Data abstraction techniques, and Reinforcement Learning with non-Markovian Rewards. His publication record includes over 70 scientific papers in top-level international journals and conferences. Recent research trends show a strong focus on temporal reasoning in reinforcement learning, planning frameworks, process mining, and verification techniques. His work bridges theoretical foundations with practical applications in AI planning and verification. ICDT Test of Time Award on Automatic verification of data-centric business processes (2009) RMIT Visiting Researcher's Award (2011) ICAPS 2024 Outstanding SPC Award Patrizi has supervised 2 PhD students and actively serves on program committees for major AI conferences including AAAI, IJCAI, ICAPS, AAMAS, KR, and ECAI. His research projects include MARLeN (Principal Investigator, 2023-2025), AIPlan4EU (Task Leader, 2021-2023), DRAPE (Principal Investigator, 2019-2022), WhiteMech (Participant, 2019-2024), TAILOR (Participant, 2020-2023), VerySynCopated (Principal Investigator, 2014-2016), ACSI (Participant, 2010-2013), and SM4All (Participant, 2008-2011). He is a member of the Data Management & Service-Oriented Computing and Artificial Intelligence & Knowledge Representation research groups at DIAG, contributing to collaborative efforts in advanced AI research and applications.