جست‌وجوی استاد و پژوهشگر

Alessandro Checcoمشاهده پروفایل

استادیار

• Crowdsourcing
• Human Computation
• Distributed Systems
• +۷ مورد دیگر

Alessandro Checco is an Assistant Professor in the Computer Science Department at University of Rome La Sapienza. His research focuses on crowdsourcing, distributed systems, and privacy-preserving technologies, bridging theoretical computer science with practical applications that consider human factors in technological systems. He has established himself as a significant contributor to the field of human computation and privacy-aware systems. His educational background includes: 2020: Fellowship of Higher Education from The University of Sheffield, Higher Education Academy 2015: Ph.D. in Mathematics from Hamilton Institute (Design of decentralised algorithms applied to channel/code selection and convex optimisation for throughput fairness of 802.11 networks) 2010: M.Sc. in Mathematical Engineering from University of Roma "Tor Vergata" (110/110 with great distinction) 2009: Erasmus Scholarship at Universiteit Gent, Department of Telecommunications 2007: B.Sc. in Mathematical Engineering from University of Roma "Tor Vergata" (110/110 with great distinction) Checco's research spans multiple areas at the intersection of computer science and social implications of technology. He is particularly interested in Crowdsourcing for Human Computation, Distributed Private Recommender Systems, Information Retrieval, Data Privacy, Distributed Systems, User Data Obfuscation in Web Systems, Societal and Economic Analysis of Online Work, Crowd Workers Unionisation, and Algorithmic Bias. His work often examines how technological systems can be designed to respect user privacy while maintaining functionality, and how crowd work can be structured to be more equitable for workers. His recent publications demonstrate a clear evolution in research focus, beginning with foundational work in wireless networks and distributed algorithms, then shifting toward human computation and privacy-preserving systems. His most recent work increasingly addresses the societal implications of crowd work, including investigations into crowd worker unionization and cooperative models. Several publications examine gender bias in algorithmic systems, reflecting growing attention to fairness and ethical considerations in his field. Among his notable achievements: All That Glitters is Gold-An Attack Scheme on Gold Questions in Crowdsourcing (Best Paper Award) Checco has secured significant research funding and led important projects including the H2020-funded FashionBrain project as Research Director and the EPSRC-funded BetterCrowd project as Research Associate. His work on the FashionBrain project demonstrates his ability to lead large-scale, interdisciplinary research initiatives. He has also received the Technology Innovation Development Award (TIDA) from Science Foundation Ireland. His research has practical applications across multiple domains including recommendation systems (BLC: Private Matrix Factorization Recommenders), peer review assistance using AI, smart farming technologies, and cooperative models for crowd workers (CrowdCO-OP). He has developed frameworks for understanding worker behavior in crowdsourcing platforms and created methods for improving quality control in human computation systems.

Erika Duriakovaمشاهده پروفایل

پژوهشگر ارشد

• Distributed Systems
• Graph Processing
• Machine Learning
• +۲ مورد دیگر

Erika Duriakova serves as a Postdoctoral Research Fellow at the Insight Centre for Data Analytics, specializing within the Recommender Systems research group. Her current research centers on pioneering secure decentralised marketplaces for data sharing, integrating her expertise in distributed computing and machine learning to address critical privacy challenges in modern data ecosystems. Her academic credentials include: PhD in Computer Science, University College Dublin, 2018 Duriakova's research spans foundational work in parallel and distributed systems, with significant contributions to scalable graph processing architectures and machine learning applications. Her earlier investigations into distributed recommender systems established frameworks for efficient large-scale recommendation engines, while her current focus on secure data marketplaces explores cryptographic techniques and decentralised protocols to enable trustworthy data exchange without compromising user privacy. This trajectory demonstrates a consistent emphasis on solving scalability bottlenecks in data-intensive computing environments through innovative system design. Within the Recommender Systems research group, she collaborates on advancing algorithmic approaches that balance personalization with ethical data handling, contributing to the Centre's mission of developing human-centric data analytics solutions. No scientific awards, student mentorship records, or grant funding details are documented in the available materials.

Alessandro Di Giorgioمشاهده پروفایل

دانشیار

• Smart grids and micro-grids control
• Model Predictive Control for energy systems
• Integration of renewable generation and storage
• +۳ مورد دیگر

Alessandro Di Giorgio is Associate Professor of Automatic Control at the Department of Computer, Control and Management Engineering Antonio Ruberti (DIAG) , Sapienza University of Rome, where he teaches courses on Automation, Network Control and Handling, and Modeling & Simulation. He coordinates the Smart Energy Research Group of the Consorzio per la Ricerca nell’Automatica e nelle Telecomunicazioni and acts as scientific referent of the university start-up Applied Research to Technologies . Education Ph.D. in Systems Engineering, Sapienza University of Rome, 2010 M.Sc. in Physics (110/110 cum laude), Sapienza University of Rome, 2005 Research interests revolve around advanced control architectures for future power systems, with particular emphasis on smart-grid planning and real-time operation , model-predictive control of micro-grids , large-scale integration of renewable generation and storage , stochastic optimisation of electric-vehicle charging infrastructures , and cyber-physical security against malicious attacks . His work combines systems theory with practical implementations validated within several European and national projects. Recent publications (2023-24) demonstrate a clear trend toward data-driven and stochastic model-predictive strategies that coordinate millions of grid-edge resources—electric vehicles, batteries, renewable plants—while guaranteeing economic efficiency, reliability and resilience of distribution networks. Projects & Technology Transfer Scientific responsible in 10 EU-funded research projects on smart grids and electromobility Principal Investigator of Italian academic and Industria 2015 programmes Co-founder & scientific reference, start-up Applied Research to Technologies (technology transfer on EV-charging optimisation) He is member of the Networked Systems Cybersecurity initiative and serves as reviewer and organiser for major IEEE conferences on power systems and control.

• Chinese Business and Management
• Institutional Economics
• Private Enterprise Sector in China
• +۵ مورد دیگر

Professor Hans Hendrischke is Professor of Chinese Business and Management at the University of Sydney Business School. He serves as Executive Director of the University of Sydney Centre in China (Suzhou) and leads the Business School's China Research Network while chairing the Business and Economics Cluster of the University's China Studies Centre. He is also a member of the Sydney Institute of Agriculture and The Net Zero Institute. Hendrischke received his MA and PhD from Bochum University in Germany. His academic journey includes education at universities in Germany, Taiwan, and Japan, followed by postgraduate research at the Contemporary China Institute at the School of Oriental and African Studies, University of London. He speaks and writes fluent Chinese, having lived in China from 1979 working first for the diplomatic service and later in the finance industry. As an institutional economist, Hendrischke pioneered qualitative research on China's nascent private enterprise sector, interviewing hundreds of Chinese entrepreneurs. His research evolved from institutional analysis of China's decentralised local governance to focus on international business research regarding multinational enterprises. His current interests include the migration of institutions and cross-border corporate interaction under China's Belt and Road Initiative, building on earlier work on border trade and economic regionalisation. His engaged research includes a long-term strategic cooperation with KPMG Australia producing the influential 'Demystifying Chinese Investment in Australia' series. Hendrischke's publication portfolio shows a clear trend toward analyzing the shifting patterns of Chinese investment in Australia, with recent work documenting a significant decline from previous levels but noting a strategic shift toward greenfield investments in sectors like electric vehicles, solar energy, and industrial machinery. His research increasingly examines how Chinese enterprises navigate institutional differences between home and host countries. Hendrischke actively supervises PhD students, with current research including Chengyi LI's work on 'The role of government in ecosystem emergence - A longitudinal case study in China.' His teaching portfolio includes CEMS6006 Chinese Institutions and Business, IBUS6020 Enterprise Management in China, MMGT6014 Business in China, and SMB A6101 International Business Project. His research has been supported by grants including the 2022 project on 'The impact of the new Government's economic policies on Chinese investment and trade in Australia' and the 2021 project on 'Australia China entrepreneurs: The business ecosystem perspective.' Hendrischke maintains a prominent media presence as a commentator on Australia-China business relations, with frequent appearances in major outlets including China Daily, Financial Times, and ABC News. His insights on Chinese investment trends, particularly the shift from acquisitions to greenfield projects and diversification toward Southeast Asia, have shaped policy discussions on bilateral economic relations.