جست‌وجوی استاد و پژوهشگر

Nader Sohrabi Safaمشاهده پروفایل

مدرس ارشد

• Cyber Security
• Information Security
• Privacy Protection
• +۱۲ مورد دیگر

Dr. Nader Sohrabi Safa is a Senior Lecturer in Cyber Security at the School of Mathematics and Computer Science, Faculty of Science and Engineering, University of Wolverhampton. He is also a member of the Cyber Security Research Institute. Prior to joining the University of Wolverhampton, he served as a lecturer at Coventry University and held postdoctoral positions at Nelson Mandela Metropolitan University (South Africa) and the Cyber Security Centre at WMG, University of Warwick. With 15 years of industry experience in computer science and cybersecurity, he brings a strong applied perspective to his academic work. Education: PhD in Information Systems Postdoctoral in Information Security and Privacy Protection (5 years) Postgraduate in Academic Practice in Higher Education Dr. Safa's research focuses on mitigating risks to information assets and protecting privacy. His work spans technical and human aspects of cybersecurity, including Security by Design , Privacy Enhancing Technologies (PETs) , Malware and Ransomware Detection using Deep Learning , Insider Threats , Blockchain Security , and Cybercrime Detection . His research has been applied in major projects such as PETRAS (focusing on IoT privacy and trust) and Data Protection in Industry. His recent publications reflect a strong trend in integrating AI and machine learning into cybersecurity solutions, particularly for detecting unknown threats, enhancing access control in healthcare via blockchain, and securing IoT and vehicular networks. He has published in high-impact journals including Future Generation Computer Systems , IEEE Access , and Computers & Security . Scientific Awards and Recognition: Senior Fellow of the Higher Education Academy (SFHEA) Member, IFIP TC 11 Working Group 12 Dr. Safa is actively involved in the academic community, serving on editorial boards, as a reviewer for top journals, and as a program committee member for international conferences. He teaches courses such as Internet of Things Security , Malware Analysis , Ethical Hacking , and Intelligent Incident Management . While specific grant details are not listed, his participation in large-scale projects like PETRAS indicates significant research funding involvement. He has not advised any named students in the provided text. There is no mention of specific labs or research teams led by him, though his affiliation with the Cyber Security Research Institute suggests collaborative research activity.

ADNAN AKTEPEمشاهده پروفایل

استاد

• Industrial Engineering
• Data Mining
• Machine Learning
• +۵ مورد دیگر

Adnan AKTEPE is a Professor at Kırıkkale University, Faculty of Engineering and Natural Sciences, Department of Industrial Engineering. He holds a PhD in Industrial Engineering from Gazi University and has been affiliated with Kırıkkale University since 2009. His research focuses on data-driven industrial systems, integrating machine learning, fuzzy logic, and structural equation modeling. BSc in Industrial Engineering, Marmara University (2007) MSc in Industrial Engineering, Kırıkkale University (2011) PhD in Industrial Engineering, Gazi University (2015) His work bridges digital technologies (e.g., blockchain, AI) with industrial and service quality optimization. Recent publications emphasize predictive maintenance, customer segmentation, and fuzzy logic applications in manufacturing and healthcare. Articles highlight cross-disciplinary approaches combining operational efficiency, data mining, and smart systems. Scientific contributions include methodological frameworks for service performance indices, lean manufacturing analysis, and reinforcement learning in scheduling. Awards and professional roles are mentioned but unspecified in the source text.

• Formal Methods
• Concurrent Systems
• Real-Time Systems
• +۷ مورد دیگر

Professor Marcin Szpyrka is a faculty member at AGH University of Science and Technology in Kraków, Poland, where he works in the Department of Applied Informatics within the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering. He holds the position of Professor and maintains an office in building C-2, room 321. His academic work spans formal methods, concurrent systems modeling, and data mining applications. Professor Szpyrka's primary research interests focus on formal methods including the Alvis modeling language, Petri nets, and process algebras. He specializes in the modeling and verification of concurrent and real-time systems , with applications spanning industrial processes, automotive diagnostics, and cybersecurity. His work bridges theoretical computer science with practical engineering applications, particularly in embedded systems and data analysis. Analysis of Professor Szpyrka's recent publications reveals a clear research trajectory focusing on formal verification techniques applied to increasingly complex systems. His work has evolved from foundational research on the Alvis language to practical applications in automotive systems, industrial processes, and cybersecurity. The publications demonstrate consistent expertise in modeling concurrent systems while expanding into data mining and machine learning applications for anomaly detection and system diagnostics. Rector's Finance Committee Disciplinary Council for Technical Information Technology and Telecommunications Disciplinary Appeals Committee for Doctoral Students Supervised 9 PhD dissertations between 2009-2024 Developed academic resources including the aghdpl LaTeX class for thesis preparation Mentored students working on formal methods, concurrent systems, and data mining applications Professor Szpyrka leads the Formal Methods research group with projects hosted at fm.kis.agh.edu.pl, focusing on the development and application of the Alvis modeling language for system verification.

Jie Zhaoمشاهده پروفایل

استادیار

• Computer Vision
• Artificial Intelligence
• Big Data Analytics
• +۴ مورد دیگر

Jie Zhao is an Assistant Professor of Computer Science & Software Engineering at the School of Engineering, Pennsylvania State University. His research bridges artificial intelligence, big data analytics, and energy systems, with a focus on computer vision, machine learning, and sustainable energy solutions. Research Interests include: Computer Vision and AI applications Wind power ramp forecasting and renewable energy analytics Machine learning for perovskite solar cells and edge-AI platforms Community solar credit-sharing frameworks Code plagiarism detection and educational data mining Recent Publications highlight interdisciplinary work in wind energy prediction, object detection algorithms, and developer satisfaction studies, reflecting a blend of computer science and energy systems research. Awards & Grants : 2024: IEE Seed Grant for interdisciplinary energy projects Collaborative Projects include integrating conductive atomic force microscopy (c-AFM) with machine learning to analyze perovskite solar cell instability, and co-organizing workshops on enterprise modeling and FAIR data management.

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.

• Machine Learning
• Optimization Algorithms
• Cloud Computing
• +۴ مورد دیگر

Ivana Štrumberger is a researcher at Singidunum University's Faculty of Informatics and Computing, with a focus on machine learning optimization, cloud computing, and wireless sensor networks. Her work bridges computational intelligence with practical applications in healthcare, cybersecurity, and financial forecasting. Her research emphasizes hybrid metaheuristic algorithms for tuning neural networks and ensemble models. Notably, she has developed methods for Bitcoin and Ethereum price prediction using LSTM networks Phishing website detection via XGBoost and feature selection Solar flare forecasting with gradient boosting Optimization of wireless sensor network localization She has co-authored over 30 peer-reviewed publications in journals like Artificial Intelligence Review and Applied Sciences , and presented at IEEE conferences including IJCNN and CEC. Her methodological contributions include hybridized variants of Firefly Algorithm Harris Hawks Optimization Sine Cosine Algorithm Whale Optimization for constrained and multi-objective problems.

• Management Information Systems
• Business Analytics
• Decision Support Systems
• +۲ مورد دیگر

Wei Huang (Wayne) is a Chair Professor and founding dean of the College of Business at Southern University of Science & Technology (SUSTech) in Shenzhen, China. He holds the prestigious National Yangtze Chair in Management Information Systems and has over 35 years of full-time teaching and research experience across multiple continents. His academic career spans renowned institutions including University of New South Wales (Sydney, Australia), National University of Singapore (NUS), Harvard University, Chinese University of Hong Kong (CUHK), and Xi'an Jiaotong University. His research interests focus on Management Information Systems , specifically on using IS/IT to support decision-making and collaboration, and business analytics. Dr. Huang has published over 200 research papers in top-tier journals including MIS Quarterly (MISQ), Journal of Management Information Systems (JMIS), Journal of the Association for Information Systems (JAIS), and IEEE Transactions, with his work being cited by leading journals such as Management Science and ISR. His recent publications demonstrate a clear trend toward integrating emerging technologies like artificial intelligence, blockchain, and IoT with traditional business analytics to create more robust decision support systems. The research spans multiple subfields including machine learning, data visualization, collaborative technologies, and cross-cultural aspects of information systems adoption, reflecting both the breadth and depth of his scholarly contributions. AIS Fellow (2020) - second professor from a Chinese university to receive this honor Sandra Slaughter Outstanding Services Award (2018) - first mainland Chinese scholar to receive this award National Yangtze Chair in Management Information Systems Outstanding SIG Award for AIS SIG-ISAP (2017) Highest Quality Rating from the British Library Outstanding Professional Service Award of ICIS Dr. Huang has secured significant research funding from diverse sources including the Australian Research Council (ARC), National Science Foundation of China, National University of Singapore, Chinese University of Hong Kong, and Harvard University. His leadership extends beyond research to academic service where he has served as PACIS Council Chair (2019-2022), founding President of AIS SIG-ISAP for over 15 years, and key founding member of China AIS Chapter. He currently serves as Vice Chairman of the Teaching Steering Committee for Management Science and Engineering Programs at Guangdong Universities, Honorary Dean of the China Guoxin Credit Big Data Research Institute, and several other high-level advisory roles with Chinese governmental bodies.

• Distributed Systems
• Edge Computing Security
• Microservice Architecture
• +۷ مورد دیگر

Hong-Tri Nguyen is a postdoctoral researcher at Aalto University's Department of Computer Science since mid-2024, affiliated with the Aalto Systems and Services Engineering Analytics (AaltoSEA) Group. They teach Advancer Topics in Software Systems (SYS4BIGML) and assist in Big Data Platforms courses while focusing on distributed systems and security in edge computing, particularly microservice architecture, policy enforcement, and zero-trust frameworks. Bachelor's: University of Information Technology, Vietnam National University-Ho Chi Minh Master's: University of Pisa, Italy PhD: University of Oulu, Finland Research spans blockchain scalability, federated learning, 6G-enabled systems, and educational technology. Their work addresses security challenges in decentralized environments through Layer-2 solutions, graph-based gossiping, and privacy-preserving models. Articles highlight blockchain for credentialing, MOOC analytics, and 6G-edge integration. Their teaching expertise includes distributed systems, fault tolerance, and big data platforms. They completed the University pedagogy program at the University of Oulu in 2024 and maintain office hours in Aalto's Computer Science Building (room A225). Collaborative work involves Insight Centre for Data Analytics (University College Dublin) and advisors like Prof. Mohand Tahar Kechadi.

• Cloud Computing
• Machine Learning
• Cryptocurrency
• +۳ مورد دیگر

Sanjay P. Ahuja is a Professor at the School of Computing, University of North Florida. His research focuses on Cloud Computing , Machine Learning , and Cryptocurrency security. Recent work includes comparative studies of offloading frameworks in mobile cloud computing, empirical assessments of public cloud performance variability, and investigations into cryptocurrency scams using social media analysis and Ethereum transaction data. Project: A Systems Approach to a Modern Computer Architecture Laboratory (CoPI, 1998–2001) Collaborators: Co-authored papers with scholars like Krishnan, Vakilinia, and Reddivari. Email: sahuja@unf.edu His research trends highlight expertise in blockchain security , machine learning applications for financial technology, and distributed systems optimization. Publications span journals like International Journal of Cloud Applications and Computing and proceedings of the International Symposium on Digital Forensics and Security .

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.

• Wireless Communications
• Artificial Intelligence
• Big Data
• +۵ مورد دیگر

David Contreras Bárcena is an Adjunct Professor at the Higher Technical School of Engineering (ICAI) of Comillas Pontifical University , where he has been a faculty member since 1998. He currently serves as the Head of Studies for the Degree in Mathematical Engineering and Artificial Intelligence (iMAT) and previously directed the Department of Telematics and Computing for five years. Education: PhD in Computer Engineering, Comillas Pontifical University (2010) Computer Engineer, Comillas Pontifical University (1998) Research Focus: His expertise spans wireless communications , artificial intelligence , big data , blockchain , cloud computing , and IoT systems . He explores applications in healthcare, smart cities, and assistive technologies. Publications & Impact: His work addresses cutting-edge challenges in Bluetooth-based indoor positioning, sustainable bike-sharing systems, and AI-driven medical document retrieval. Recent articles emphasize sustainability and advanced AI applications. Awards & Recognition: Director of award-winning final degree projects (2023-24, 2022-23, 2017-18, 2010-11) Sexenio Research Accreditation (2010-2015) Advising & Grants: He has supervised PhD theses on probabilistic modeling of bike-sharing demand and semantic similarity in biomedical retrieval. His projects include EU Horizon 2020 initiatives like RAYUELA (AI for youth internet safety) and COVID-19 predictive modeling (GAUDETE). Labs & Teams: Active in the Intelligent Systems and Bioengineering areas, he collaborates on multidisciplinary projects integrating AI, IoT, and sustainability.

• Internet of Things
• Edge Computing
• Cloud Security
• +۴ مورد دیگر

Richard Hill is a prominent researcher specializing in Internet of Things systems, edge computing architectures, and security protocols for distributed systems. His scholarly contributions span over a decade with consistent publication output through 2025, demonstrating ongoing research activity and academic leadership in computer science. His research interests focus on Industrial IoT optimization , edge intelligence , cybersecurity frameworks , and applied machine learning across industrial and educational contexts. Recent work demonstrates particular expertise in resource allocation models, authentication protocols for sensor networks, and educational applications of computing technologies. Hill's publication trends reveal strong interdisciplinary engagement, bridging computer science with industrial applications, healthcare diagnostics, and educational technology. His work frequently addresses real-world implementation challenges in IoT systems, cloud-edge architectures, and security protocols. As evidenced by his book publications including Guide to Industrial Analytics (Springer, 2021) and Edge Intelligence and the Industrial Internet of Things , Hill has established significant scholarly authority in his fields of expertise. His collaborative research network includes extensive partnerships with Hussain Al-Aqrabi, Ashiq Anjum, and other international researchers, with particular emphasis on UK-based educational applications and industrial implementations.

Dimosthenis Kifokerisمشاهده پروفایل

دانشیار

• Construction Management
• Construction Informatics
• Machine Learning
• +۷ مورد دیگر

Dimosthenis Kifokeris is an Associate Professor and Docent in Construction Production and Management of Construction Projects at Chalmers University of Technology's Department of Architecture and Civil Engineering, where he also serves as the Coordinator for Artificial Intelligence. His research bridges construction engineering with digital technologies and organizational theory, focusing on how emerging technologies can transform traditional construction practices. His research interests span construction informatics (particularly machine learning, blockchain/DLT, IoT, and BIM), lean construction, constructability, and sustainable, circular, and regenerative production processes. He approaches these topics through interdisciplinary lenses including labor process theory, labor theory of value, organizational theory, and data science. His PhD thesis utilized supervised and unsupervised machine learning to appraise project constructability through risk analysis. Dr. Kifokeris has led or participated in Swedish and international research projects totaling over 57 million SEK, funded by Formas, SBUF, Vinnova, CMB, and Horizon Europe. His work demonstrates how digital technologies can address longstanding challenges in construction information management, safety analysis, and production processes. He holds significant leadership positions in the international construction research community, serving as Secretary of the Board of the European Council on Computing in Construction (EC3), a Board member of Construction Researchers on Economics and Organisation in the Nordic Region (CREON), and leader of the thematic group Byggprocess och Förvaltning in Sveriges Bygguniversitet (SBU). He chaired the EC3 2022 PhD Summer School in Rhodes and will chair the Thesis-in-Three competition at the EC3 2025 Conference in Porto. His recent publications reveal a strong trajectory toward integrating artificial intelligence with construction management, particularly focusing on how large language models can transform accident analysis and how blockchain can create more transparent and trustworthy information environments throughout the built asset lifecycle. His work represents a unique synthesis of technical innovation and critical organizational perspectives.

• Aviation Network Development
• Airport Connectivity
• Transportation Logistics and Supply Chains
• +۷ مورد دیگر

Tommy Cheung is a Senior Lecturer and Department Chair in the Department of Aviation, School of Engineering at Swinburne University of Technology, Australia. His research focuses on aviation network development, global airport connectivity, blockchain applications in air travel, and data-driven route planning. He holds a PhD in Computer Engineering from the University of New South Wales, Sydney, and has prior academic experience at Hang Seng University of Hong Kong and the Hong Kong University of Science and Technology. PhD in Computer Engineering, University of New South Wales, Sydney, Australia Former Assistant Professor, Hang Seng University of Hong Kong (2014–2018) Former academic, HKUST, Department of Electrical and Electronic Engineering 12+ years in advanced manufacturing and supply chain management in Hong Kong and Shenzhen Dr. Cheung's research interests span aviation network resilience, airport connectivity indices, smart technologies in air travel, and sustainable aviation. He investigates how global disruptions like pandemics and geopolitical conflicts affect air transport systems. His work integrates machine learning, Bayesian modeling, and spatial econometrics to analyze aviation networks and optimize operations. His recent publications reveal a strong trend in applying data analytics and AI to aviation policy, route planning, and service quality. Topics include flight delay forecasting, blockchain integration, self-connection optimization, and pilot remuneration. His work often involves large-scale datasets and interdisciplinary methods, contributing significantly to air transport policy and network modeling. Dr. Cheung has secured industry research funding, including a major grant from Textron Systems Australia for the Regional AAM Surrogate Trial. He actively supervises PhD and Master’s students on topics such as hydrogen in aviation, pilot fatigue monitoring, and advanced air mobility. His leadership extends to curriculum and departmental strategy as Chair of Aviation. He is involved in several research teams and collaborations, particularly in intelligent transportation systems and aviation innovation. His lab and project work integrate UAVs, IoT, and AI for infrastructure-less environments, contributing to next-generation mobility solutions.

Timotheus Kampikمشاهده پروفایل

استادیار

• Intelligent Systems
• Automated Reasoning
• Formal Argumentation
• +۵ مورد دیگر

Timotheus Kampik is a Tenure-Track Assistant Professor at the Department of Computing Science , Umeå University , Sweden. He combines his academic work with an industry role as Principal Scientist at SAP , focusing on strategic research engagement related to intelligent processes, decisions, and transformation. Kampik's research centers on principle-based automated reasoning and the engineering of intelligent systems with applications in multi-agent systems, formal argumentation, and business process management. Kampik is a WASP Fellow supported by the Wallenberg AI, Autonomous Systems and Software Program. His work often bridges theoretical foundations with practical implementations, reflected in both his academic publications and industry contributions. He has served as co-chair for the International Workshop on Argumentation for eXplainable AI (ArgXAI) and organized sessions at major conferences like AAMAS and ECAI. Research Interests: Abstract and Quantitative Bipolar Argumentation Multi-Agent Systems Engineering Explainable AI and Human-AI Interaction Business Process Intelligence Formal Reasoning and Decision Theory Key Publications: Disagree and Commit (2025) - Argumentation-based agreements Kettle Logic in Abstract Argumentation (2024) Change in Quantitative Bipolar Argumentation (2024) Business Process Improvement with AB Testing (2024) Scientific Recognition: Best Paper Award, ICPM 2024 Best Program Committee Member Award, AAMAS 2022 Best Post-Graduate Student Paper Award, WESAAC 2020 WASP Fellowship recipient Teaching & Supervision: Lecturer for courses including Software Engineering and Artificial Intelligence at Umeå University Supervised multiple Master's and Bachelor's theses on topics like machine learning integration, human-aware planning, and deception detection Co-developed open-source agent programming libraries like JS-son