جستجوی استاد راهنمای دانشگاهی

Vikas Kumar Gargمشاهده پروفایل

استادیار

• Quantum Computing
• Artificial Intelligence
• Machine Learning
• +۱۵ مورد دیگر

Vikas Kumar Garg is an Assistant Professor at Aalto University specializing in Quantum Computing and Artificial Intelligence (AI)/Machine Learning (ML)/Deep Learning (DL), with research spanning theoretical and applied domains including Computational Biology, Healthcare (protein and drug design), Material Synthesis, Cybersecurity, Energy systems, E-commerce, Wireless networks, Blockchain, IoT, Computer Vision, and Natural Language Processing. His work focuses on human-assisted drug discovery , generative models , and learning under uncertainty , intersecting quantum AI with optimization and game theory. Key application areas include Biopharma, Retail, Manufacturing Automation, and FinTech through his industry collaborations. Professor Garg maintains extensive academic-industrial partnerships with leading researchers: Tommi Jaakkola (PhD supervisor, MIT) Cynthia Rudin (SM supervisor, Duke University) Raquel Urtasun (MS supervisor, University of Toronto/Waabi) Regina Barzilay and Stefanie Jegelka (MIT) Microsoft Research teams (Adam Kalai, David Alvarez-Melis, Ofer Dekel) CMU (Steven Wu), Caltech/Hebrew University (Katrina Ligett) Amazon Research (Inderjit Dhillon), Facebook AI (Lin Xiao) University of Cambridge (Roberto Cipolla), University of Chicago (Risi Kondor) As Co-Founder and Chief Scientist of YaiYai Oy, he drives quantum-AI solutions for global clients across Biopharma, Energy, and Gaming sectors while maintaining active academic research.

Alfonso José López Riveroمشاهده پروفایل

استاد

• Statistics
• Operations Research
• Strategic Management
• +۱۲ مورد دیگر

Dr. Alfonso José López Rivero is a Professor at the School of Computer Science , Pontifical University of Salamanca , specializing in Statistics and Operations Research . He earned his PhD from the Universidad Pontificia de Salamanca in 2004 with a thesis on Software Quality in Information Selection and Classification , supervised by Dr. Luis Joyanes Aguilar. Education: PhD in Computer Science (2004), Universidad Pontificia de Salamanca. His research spans Digital Transformation , Machine Learning , and Sustainable Mobility , with a focus on applications in healthcare, battery recycling, and strategic management. Recent work includes IoT systems for voice-based disease detection and AI-driven sustainability in SMEs. Key trends in his publications include Electric Vehicle (EV) Optimization , IoT in Healthcare , and Ethical AI . He leads the Gestión tecnológica y ética del conocimiento research group, emphasizing technological ethics and data-driven decision-making.

Yupeng Zhangمشاهده پروفایل

استادیار

• Cybersecurity
• Applied Cryptography
• Zero-Knowledge Proofs
• +۴ مورد دیگر

Yupeng Zhang is an Assistant Professor at the University of Illinois Urbana-Champaign in the Department of Electrical and Computer Engineering, with an affiliate appointment in Computer Science. His research focuses on cybersecurity and applied cryptography , particularly zero-knowledge proofs , secure multiparty computations , and their applications in blockchain and machine learning. Education: Ph.D., Electrical and Computer Engineering, University of Maryland (2018) M.Phil., Information Engineering, Chinese University of Hong Kong (2013) Bachelor of Engineering, Information Engineering, Chinese University of Hong Kong (2011) Research Highlights: Developed scalable zero-knowledge proof systems for blockchain and machine learning Created verifiable computation frameworks for SQL and RAM Advancing privacy-preserving ML and cross-chain blockchain bridges Grants: NSF CAREER award Air Force Research Lab DARPA Google Research Scholar Award Facebook Research Award Latticex Foundation Teaching: CS 461/ECE 422: Computer Security I CS 591 SP: Security and Privacy ECE 407/CS 407: Cryptography ECE 598 YPZ: Advanced Topics in Applied Cryptography Co-taught MOOC on Zero-Knowledge Proofs (Spring 2023) Professional Service: Program Vice Co-Chair, USENIX Security 2024 Program Committee, Crypto 2025, S&P 2025 Reviewer for major journals and conferences

Xiaoyang Wangمشاهده پروفایل

مدرس ارشد

• Graph Processing
• Graph Neural Networks
• Spatial Data Processing
• +۱۰ مورد دیگر

Xiaoyang Wang is a Senior Lecturer in the School of Computer Science and Engineering (CSE) at the University of New South Wales (UNSW). He holds a Bachelor's and Master's degree in Computer Science from Northeastern University, China, and earned his PhD from CSE UNSW. Dr. Wang's research focuses on database systems with a special emphasis on query processing and data mining on large-scale graph, spatial, and streaming data. His expertise extends to data-driven machine learning, smart contract analysis on blockchain, and FinTech with financial network analysis. His work spans Graph Processing, Graph Neural Networks, Spatial Data Processing, AI for Databases (AI4DB), Database for AI (DB4AI), and FinTech applications. His publication record shows significant contributions to the field with 7 book chapters, 56 journal articles, 61 conference papers, 7 edited conference proceedings, and 4 conference abstracts. Recent publications (2022-2025) demonstrate his strong research trajectory in advanced graph processing techniques, neural network applications, and innovative database approaches. Key themes include hierarchical contrastive learning, robust attack frameworks, temporal graph processing, influence maximization, knowledge graph-enhanced reasoning, and rumor mitigation. Dr. Wang actively recruits PhD students interested in pursuing research in related fields and encourages current undergraduate and master's students at UNSW to contact him about research opportunities. He maintains an active research agenda with practical implications for industries dealing with large-scale network data, financial technology applications, and data-intensive systems. He can be reached at xiaoyang.wang1@unsw.edu.au and is located in Engineering building K17-501D at UNSW.

Haobin Niمشاهده پروفایل

پژوهشگر ارشد

• Programming Languages
• Software Engineering
• Formal Verification
• +۵ مورد دیگر

Haobin Ni is a Postdoctoral Scholar at the University of Washington in the Programming Language and Software Engineering (PLSE) group, advised by Professor Zachary Tatlock. His research bridges theoretical formal methods with practical systems development in programming languages and security. Education: Ph.D. in Computer Science, Cornell University (2024). Dissertation: "Formal Modeling Languages for High-assurance Domain-specific Systems." Advisors: Greg Morrisett and Robbert van Renesse. Ni's research focuses on language design, program analysis, and compiler optimization with emphasis on formal verification of distributed systems, concurrent programs, and parsers. He pioneers secure smart contract languages using information flow control type systems and develops novel protocols for distributed systems. His work consistently targets high-assurance systems where correctness and security are critical, spanning blockchain, binary parsing, and state machine replication. Analysis of his 11 publications (2019-2024) reveals three dominant research thrusts: compositional security frameworks for smart contracts (especially against reentrancy attacks), provably correct implementations of critical infrastructure like ASN.1 parsers, and modular abstractions for distributed ledger technologies. His methodology combines deep theoretical formalization with practical implementation, resulting in tools and protocols adopted in real-world systems. Scientific awards: Best Paper Award, IEEE Symposium on Security and Privacy (2021) ICPC World Finals Gold Medal (2016) ICPC World Finals Silver Medal (2014) Ni actively mentors through competitive programming: he coached Cornell's ICPC team (2018-2024), leading them to World Finals qualifications in 2019 and 2023, and volunteered for high school programming contests. Currently, he leads the PLSE Programming Languages Reading Group (PLRG) at the University of Washington, fostering community engagement in PL research. His work shows strong industry collaboration, particularly with Microsoft Research on blockchain and security projects. As a core member of UW's PLSE group, Ni contributes to one of academia's leading programming languages research teams. His current leadership of the PLRG demonstrates active community building, while his technical work on Charlotte and ASN1★ positions him at the forefront of secure distributed systems research.

Marie Vasekمشاهده پروفایل

مدرس

• Cybersecurity
• Cybercrime Measurement
• Security Economics
• +۶ مورد دیگر

Dr. Marie Vasek is a Lecturer in Information Security at the Department of Computer Science, University College London (UCL) . She joined UCL in August 2019 after serving as an Assistant Professor at the University of New Mexico (UNM) from 2017-2019. PhD in Computer Science (2017) - University of Tulsa, advised by Dr. Tyler Moore MSc in Computer Science (2015) - SMU BA in Computer Science & Mathematics (2012) - Wellesley College Her research spans computer security, focusing on security economics and cybercrime measurement . Key areas include cryptocurrency fraud (pump-and-dumps, Ponzi schemes), SMS scams, decentralized finance (DeFi) deception, and ethical challenges in security research. Recent work examines physical cryptocurrency attacks ("wrench attacks"), regulatory frameworks for CBDCs, and social media's role in illicit drug advertising. Dr. Vasek has received notable recognition, including the 2016 Google Anita Borg Scholarship . She co-directed StopBadware (2011-2020) and contributes to UCL's teaching through courses like COMP0141 Security and COMP0057 Research in Information Security . Her publications appear in venues like USENIX Security , IEEE Blockchain Conference , and Workshop on the Economics of Information Security .

Alessandra Scafuroمشاهده پروفایل

دانشیار

• Cryptography
• Blockchain Technologies
• Cyber Security
• +۳ مورد دیگر

Alessandra Scafuro is an Associate Professor in the Department of Computer Science at North Carolina State University. Her research focuses on theoretical and applied cryptography, particularly cryptographic protocols such as zero-knowledge proofs, secure multi-party computation, and blockchain technologies. She bridges foundational theory with practical implementations to solve real-world security challenges. Ph.D., Computer Science, University of Salerno (2013) B.S., Computer Science, Technische Universität Wien (2008) Research interests include: Design of modular and composable cryptographic protocols Privacy-enhancing techniques for blockchain systems Post-quantum secure cryptographic constructions Trust and anonymity in distributed environments Recent publications explore anonymity in blockchain consensus, zero-knowledge arguments from blockchains, and secure computation paradigms. Her work is supported by grants from NSF, Horizen Labs, Protocol Labs, and Cisco Systems. Dr. Scafuro actively mentors students and contributes to program committees such as EUROCRYPT 2024 and ACM CCS 2024 . She leads the Mutually Accountable Anonymous Systems project within the Wolfpack Security and Privacy Research Lab.

Wolfram Groschopfمشاهده پروفایل

پژوهشگر

• Sustainability in Transport and Logistics
• Digitalization in Supply Chain Management
• Greenhouse Gas Emissions Quantification
• +۳ مورد دیگر

Dr. Wolfram Groschopf is a researcher at the Institute of Transport Economics and Logistics at Vienna University of Economics and Business (WU Vienna). His work focuses on sustainability and digitalization in transport, logistics, and supply chain management, with expertise in quantifying greenhouse gas emissions and traffic congestion impacts.

Petr Kuznetsovمشاهده پروفایل

استاد

• Distributed Systems
• Algorithms
• Synchronization
• +۳ مورد دیگر

Petr Kuznetsov is a Professor at Telecom Paris (Institut Polytechnique de Paris), affiliated with the Department of Computer Science and Networks (INFRES). He leads the Autonomous Critical Embedded Systems (ACES) research team at the Information Processing and Communication Laboratory (LTCI). His work bridges theoretical foundations and practical applications in distributed systems. Research Focus: Kuznetsov specializes in distributed algorithms, synchronization protocols, failure detection mechanisms, and the application of algebraic topology to distributed computing. His recent work explores Byzantine fault tolerance, blockchain consensus, and concurrency in networking infrastructures. Recent Publication Trends (2015-2025): His articles predominantly focus on scalability and resilience in distributed systems, with emerging themes in blockchain technologies, Byzantine fault tolerance, and concurrency optimization. Theoretical contributions include computability theorems and complexity bounds, while applied work targets payment systems and distributed ledgers. Awards & Honors: Best Paper Award at DISC 2019 for Scalable Byzantine Reliable Broadcast Best Student Paper Award at PODC 2018 for An Asynchronous Computability Theorem for Fair Adversaries Projects & Advising: He directs the TrustShare Innovation Chair (large-scale data synchronization) and DISCMAT (mathematical foundations of distributed computing). Actively seeks PhD candidates for projects on distributed algorithms and concurrency. Laboratory & Teams: Heads the ACES team at LTCI, focusing on critical embedded systems and fault-tolerant distributed architectures. Collaborates internationally through workshops like SPTDC.

• Tax Law
• Human Rights Law
• Legal Principles
• +۳ مورد دیگر

Simay Doğmuş Uz is an Assistant Professor at the School of Law, İzmir University of Economics. Her academic work focuses on tax law, human rights law, and the application of blockchain technology in legal documentation. She has contributed to discussions on fundamental legal principles such as the Ne Bis in Idem doctrine and procedural rights in criminal defense. Research Interests : Tax criminal law, blockchain applications in legal systems, fundamental rights and freedoms, European Court of Human Rights jurisprudence. Key Themes : Analysis of procedural efficiency in tax disputes, examination of defender's rights in investigation phases, and state obligations regarding human rights. Her publications demonstrate interdisciplinary approaches combining traditional legal principles with emerging technologies.

Gerhard Schwabeمشاهده پروفایل

استاد

• Collaborative Technologies
• Information Management
• E-Government
• +۵ مورد دیگر

Gerhard Schwabe is a Professor in the Department of Informatics at the University of Zurich, Faculty of Business, Economics and Informatics. His research spans collaborative technologies, information management, E-government, blockchain applications, and digital health. He leads the Information Management Research Group and contributes to the university's Digital Society Initiative (DSI). Research Focus: Human-AI collaboration, blockchain systems, crisis informatics, persuasive technologies Key Projects: RefuGPT (refugee support chatbots), Scripted Medicine (health worker assistance), PROMISE (AI prompt orchestration) Technical Expertise: Design Science Research, conversational agents, data-driven governance His recent publications emphasize AI integration in collaborative workflows, blockchain applications for data markets, and digital solutions for crisis management. He explores how generative AI impacts freelance development practices and transforms advisory services through automated systems. Contact: schwabe@ifi.uzh.ch

• Business Process Management
• Declarative Process Modeling
• Hybrid Process Notations
• +۵ مورد دیگر

Tijs Slaats is an Associate Professor in the Software, Data, People & Society section at the Department of Computer Science, University of Copenhagen. His research focuses on Business Process Management with particular emphasis on declarative and hybrid process notations to provide flexible workflow support for knowledge workers, funded by the Danish Council for Independent Research. His educational background includes: M.Sc. in Information Technology from IT University of Copenhagen Ph.D. in Computer Science from IT University of Copenhagen (supervised by Thomas Hildebrandt) Dr. Slaats specializes in declarative process modeling, particularly Dynamic Condition Response (DCR) graphs which enable flexible workflow systems. His work bridges theoretical foundations with practical applications in cross-organizational settings. Recent research extends into blockchain technologies, smart contracts, and applications in sensitive domains like asylum processing and refugee law. He combines formal methods with empirical evaluation to ensure both correctness and usability of workflow systems. His publication pattern shows increasing application of process mining techniques to blockchain technologies and socially impactful domains, while maintaining core research in Business Process Management. Notable trends include integration of DCR graphs with smart contracts, privacy-preserving techniques for asylum data, and object-centric approaches to process discovery. Research funding includes: Hybrid Business Process Management Technologies project (Danish Council for Independent Research) Technologies for Flexible Cross-organizational Case Management Systems (FLExCMS) industrial Ph.D. project Alongside his academic work, Dr. Slaats maintains strong industry connections through Exformatics A/S where he developed the DCR Graphs workflow solution (www.dcrgraphs.net), and previously worked as a software engineer in the Dutch e-commerce sector. His dual expertise in academia and industry ensures his research addresses real-world workflow challenges while maintaining theoretical rigor.

Māris Jurušsمشاهده پروفایل

دانشیار

• Tax Policy
• Customs Administration
• Sustainability
• +۴ مورد دیگر

Māris Jurušs is an Associate Professor and Director of Study Programs at the Faculty of Engineering Economics and Management (FEEM) of Riga Technical University . He oversees the study programs in "Customs and Tax Administration" and "Internal Security and Civil Protection." Additionally, he serves as a member of both the RTU FEEM Council and the FEEM Scientific Council. His research focuses on tax policy , customs administration , sustainability , and public administration . He has extensive experience in national and international projects, particularly in fiscal strategies for sustainable mobility and environmental taxation. Jurušs has worked in the Tax Policy Department of the Ministry of Finance and an international audit company . He is an expert of the Latvian Science Council and actively participates in academic conferences and Erasmus+ teaching exchanges. Selected projects include: "D2_DIGITAL2": State budget funding for RTU's digital governance development (2024). "LZP-2022/1-0306": Model development for sustainable last-mile delivery in Latvia (2023–present). ESF 01000-3.1.2.-e/118": Efficient university governance development (2018–2023). "CA21133 - GLITSS": COST Action on globalization, illicit trade, sustainability, and security (2023–). His publications address topics such as excise duty harmonization for tobacco products, environmental taxation in transport, digital transformation of tax systems, and sustainable fiscal strategies . These works often intersect with European Union policy , climate change mitigation , and economic regulation .

Debarun Sarkarمشاهده پروفایل

پژوهشگر ارشد

• Digital Humanities
• AI Ethics
• Cultural Studies
• +۷ مورد دیگر

Debarun Sarkar is a Research Fellow affiliated with the Department of Linguistic, Literary and Aesthetic Studies at the University of Bergen. He works on the ALGOFOLK project, examining sociotechnical systems and material-semiotic configurations. His research spans digital culture, AI ethics, urban studies, and cultural studies, with a focus on India and the Global South. Research Interests: Debarun focuses on the intersections between algorithms and folklore, exploring how digital technologies shape labor, creativity, and social structures. He critically analyzes blockchain adoption in India, AI auditing frameworks, and the sociopolitical implications of smart/green city initiatives. His cultural studies work includes examining heavy metal subcultures and hip-hop’s role in capitalist realism. Projects: He was co-PI for Audit4SG (2023), funded by the Notre Dame-IBM Technology Ethics Lab, and contributed to a Learning Analytics in Higher Education project (2022-24). Current work involves the ALGOFOLK project (Research Council of Norway and Trond Mohn Foundation funding). Education: PhD in Sociology from the University of Mumbai, where he served as a UGC Junior/Senior Research Fellow. His doctoral work engaged with urban scale debates in New Town, West Bengal.

Damian Flynnمشاهده پروفایل

دانشیار

• Renewable Energy Integration
• Power System Stability
• Wind Energy
• +۷ مورد دیگر

Dr Damian Flynn is an Associate Professor at the UCD School of Electrical and Electronic Engineering , University College Dublin. His research focuses on the challenges of integrating renewable energy sources like wind and solar into power systems while maintaining stability and reliability. Research Themes: High renewable penetration, grid-forming converters, energy storage, and smart grid technologies. Collaborations: EirGrid, Glen Dimplex, Electricite de France, and General Electric. Dr Flynn’s work addresses the technical and economic feasibility of transitioning to 100% renewable energy systems, particularly for islanded grids like Ireland’s. His models explore scenarios for 2030–2050, emphasizing the need for adaptive infrastructure and policy frameworks. Key challenges include balancing unpredictable renewable supply with demand, managing grid congestion, and leveraging technologies such as electric vehicles and blockchain for system stability. Recent Publications highlight trends in grid-forming converter design, renewable curtailment reduction, and multi-carrier energy systems. He investigates solutions like transportable storage and dynamic line rating to enhance grid flexibility. Scientific Awards: Smurfit Kappa Newman Fellowship Award.