جستجوی استاد راهنمای دانشگاهی

Jasper Verstappenمشاهده پروفایل

استادیار

• Contract Law
• Property Law
• European Law
• +۷ مورد دیگر

Mr. Jasper Verstappen is an Assistant Professor at the Faculty of Law of the University of Groningen. His research focuses on contract law, property law, European law, consumer law, comparative law, and technology law. He holds a Master's in Dutch Private Law and a cum laude Master's in European Law from Maastricht University, where he also conducted external PhD research on smart contracts across French, German, English, and Dutch legal systems. Prior to academia, he worked as a senior consultant in financial services and served as a Blue Book Trainee with the European Commission. Research Interests: Professor Verstappen specializes in the intersection of technology and law, particularly blockchain, smart contracts, and tokenization. His work addresses legal risks in digital agreements, sustainability applications of LegalTech, and consumer protection in crypto environments. Notable contributions include developing a taxonomy for smart contracts and analyzing tokenization's role in property rights transfer. Teaching & Awards: He coordinates courses on e-commerce, IT law, and legal research skills. In 2024, he was nominated for the Best Practice in Teaching & Learning Award alongside colleagues. His pedagogical focus combines traditional legal education with modern digital literacy challenges. Grants & Projects: Engaged in interdisciplinary projects linking legal frameworks to emerging technologies, including sustainability-focused LegalTech initiatives. His work often bridges private law principles with EU regulatory developments in financial innovation and digital markets. Labs/Teams: Collaborates with the Transboundary Legal Studies group at Groningen and maintains ties with Maastricht University's legal research networks. Active in EU-funded legal-tech innovation projects focusing on automated contract enforcement systems.

Liucheng Guoمشاهده پروفایل

پژوهشگر ارشد

• AI software-hardware co-design
• embedded AI
• high-performance computing (HPC)
• +۷ مورد دیگر

Dr. Liucheng Guo is a Visiting Senior Research Fellow and RAEng Industrial Fellow at King’s College London, affiliated with the Department of Mathematics within the Faculty of Natural, Mathematical & Engineering Sciences. His expertise spans AI software-hardware co-design, embedded AI, and high-performance computing (HPC), with a focus on sustainable human-machine interfaces (HMI) for sectors like IoT, Automotive, Healthcare, and XR. He holds a Ph.D. from Imperial College London and an MA from Peking University. Dr. Guo has co-founded the award-winning AI startup TG0, securing seven patent groups and over £20 million in grants from InnovateUK, RAEng, and the European Innovation Council. His research emphasizes smart home, IoT, and healthcare applications, including VR mirror therapy for post-stroke rehabilitation and gesture-based control systems. He is a Senior Member of IEEE and Fellow of IET/BCS/RSA, reflecting his leadership in bridging research and industry. His grants include Smart Grants, KTP awards, and SME Leader initiatives. He actively promotes STEM through roles as RAEng Visiting Professor and public engagement ambassador.

Quentin Van Enisمشاهده پروفایل

استاد مهمان

• Freedom of expression
• Human Rights Law
• Media Law
• +۷ مورد دیگر

Quentin Van Enis is a legal scholar and practitioner specializing in Media Law, Information Technology Law, and Human Rights Law. He serves as a visiting lecturer at the University of Namur's Faculty of Law, where he teaches Media Law for the 2023-2025 academic period. Professionally, he currently serves as a judge at the French-speaking Court of First Instance in Brussels since June 2023, following his role as a legal adviser at the European Court of Human Rights in Strasbourg (2019-2022). Doctorate in Legal Sciences, University of Namur, 2014 Complementary Master's Degree in Human Rights, FUSL, 2009 (highest distinction) Master in Law, UCL, 2007 (highest distinction) Erasmus Exchange, University of Salamanca, 2007 Bachelor in Law, FUSL, 2004 (highest distinction) Certificate of Aptitude to Practice Law (CAPA), Brussels Bar, 2015 Van Enis's research focuses on the critical intersection of law, media, and digital technologies. His work examines how traditional legal frameworks adapt to the rapidly evolving digital landscape, particularly regarding freedom of expression, media regulation, and human rights protection online. His doctoral thesis, 'Press Freedom in the Digital Era' (2014), established his expertise in how legal systems address transformations in the media landscape brought about by the internet. His scholarship consistently explores the tension between technological innovation and fundamental rights protection. His recent scholarly output reveals a clear trajectory from traditional media law toward broader digital rights issues within the European human rights system. Publications from 2019-2023 demonstrate increasing focus on platform regulation, whistleblower protection, and the evolving relationship between privacy, expression, and democracy in the digital sphere. His work shows particular attention to how European legal institutions respond to internet-driven challenges to established rights frameworks. Van Enis maintains active engagement with professional legal practice alongside his academic work. He served as a lawyer at the Brussels Bar (2014-2018) and was a member of the Belgian Journalistic Ethics Council (CDJ) from 2015-2019. In 2017, he was appointed as an expert in New Technology Law for the French-speaking chambers of the Legislation Division of the Belgian Council of State. He contributes significantly to legal education through his role as a regular trainer for AJPro trainings organized by the Association of Professional Journalists and previously as a visiting professor at the Catholic University of West Africa in Abidjan (2015). His work with the Namur Digital Institute (NADI) and Center for Research on Information, Law and Society (CRIDS) connects his scholarship with broader digital transformation research initiatives.

Andrey Bernsteinمشاهده پروفایل

مدرس

• Control and optimization of energy systems
• Data analytics for energy systems
• Adaptive decision-making in complex environments
• +۷ مورد دیگر

Andrey Bernstein is a Senior Researcher and Group Manager at the National Renewable Energy Laboratory (NREL) and a Lecturer at the University of Colorado Boulder. Since 2016 he has led NREL’s Grid Modernization research thrust on power systems engineering, focusing on decision-making, optimization and machine-learning methods for energy systems. Education: Ph.D. in Electrical Engineering, Technion – Israel Institute of Technology M.Sc. in Electrical Engineering, Technion – Israel Institute of Technology B.Sc. in Electrical Engineering, Technion – Israel Institute of Technology Research Interests: Bernstein’s work centers on the intersection of control theory, optimization, machine learning and power systems . Key themes include adaptive decision-making in complex stochastic environments, distributed optimization algorithms for real-time operation of distribution networks, market design for transactive energy systems, data-driven state estimation, and advanced inverter control strategies enabling high renewable penetration. His recent publications (2024-2025) collectively push toward decentralized, learning-based, and robust solutions for next-generation power grids. Themes span decentralized market mechanisms that respect network constraints, distributionally robust optimization for secure voltage control, dynamic pricing schemes maximizing social welfare in energy-sharing communities, and grid-forming inverter control strategies that reshape system-wide dynamic response. Scientific Awards & Honors: NREL Distinguished Member of Research Staff (2022) NREL President’s Award (2018) NREL President’s Award (2021) Affiliations & Service: Bernstein is an active member of the Institute for Operations Research and the Management Sciences (INFORMS) and the Institute of Electrical and Electronics Engineers (IEEE), participating in multiple technical committees and collaborative networks within NREL and across international institutions.

Shuba Srinivasanمشاهده پروفایل

استاد

• Strategic Marketing
• Financial Performance
• Econometrics
• +۳ مورد دیگر

Shuba Srinivasan is the Adele and Norman Barron Professor of Management and Professor of Marketing at Boston University's Questrom School of Business. Her research bridges marketing strategy with financial performance, leveraging advanced econometric techniques like time-series analysis. She has held editorial board roles at Marketing Science Journal of Marketing Research International Journal of Research in Marketing and mentored doctoral students at BU, University of Groningen, UCLA, and UCR. Her educational background includes PhD (1995) - University of Texas at Dallas MBA (1988) - Indian Institute of Management MS (1986) - Indian Institute of Technology Research interests focus on modeling marketing-finance linkages, particularly how brand reputation , advertising , and sociopolitical risks affect firm value. Her recent work uses VAR models and algorithm aversion analysis to quantify marketing's strategic impact. Scientific recognition includes 2010 Broderick Prize M/A/R/C Outstanding Doctoral Student Award She combines academic rigor with industry experience, having consulted for diverse companies while maintaining active roles in marketing research and education.

• Communication Sciences
• New Media Studies
• Social Media Analysis
• +۷ مورد دیگر

Neslihan Bulur is a Researcher at Uskudar University's Department of New Media and Communication. Currently completing her PhD in Communication Sciences at Marmara University (2025), she holds a Master's in Strategic Communication Management (Galatasaray University, 2020) and a double major in Communication Design & Management and Sociology (Anadolu University, 2017/2018). PhD Candidate: Communication Sciences, Marmara University (2025) MSc: Strategic Communication Management, Galatasaray University (2020) BSc: Communication Design & Management + Sociology, Anadolu University (2017/2018) Her research combines techno-political analysis with cultural studies, examining AI perception, climate change discourse, and digital inequality. Recent work investigates: AI representation in Global South vs. North Algorithmic framing of environmental issues Crisis communication during pandemics and disasters Digital media's role in identity formation Key article trends show growing focus on: Technopolitical dimensions of social media Critical AI studies in communication Data colonialism in digital spaces Visual culture in conflict representation Administrative roles include: Co-editor for national academic journals (2022–present) Member of accreditation working groups (2024–present) Web development commissions (2018–present)

Torben Bach Pedersenمشاهده پروفایل

استاد

• Data Engineering
• Artificial Intelligence
• Machine Learning
• +۵ مورد دیگر

Professor Torben Bach Pedersen at Aalborg University's Department of Computer Science within The Technical Faculty of IT and Design is a leading expert in Data Engineering, Artificial Intelligence, and Energy Systems. With over 394 publications and 19 completed projects, he directs research at the Daisy – Center for Data-intensive Systems and leads innovations in energy flexibility and smart grid technologies. Key research areas: Data Warehousing, AI/ML, Energy Systems, Smart Grids Major projects: domOS (Smart Building OS), FEVER (Virtual Power Plants), DiCyPS (Cyber-Physical Systems) His research spans data-intensive systems, AI applications in energy management, and smart infrastructure development. Recent work focuses on transformer-based network AI and energy flexibility metrics. Scientific recognition includes: Æresdoktor (Honorary Doctor) at TU Dresden (2021) Best Paper Award Runner-Up (2019) WWW 2017 Best Demo Award Best Poster Award World Smart Grid Forum (2013) Member of Danish Academy of Technical Sciences (2013) As principal investigator and supervisor in 17 PhD projects, he advances AI-driven solutions for 6G wireless systems, smart buildings, and energy market optimization.

Concepción Gómez Lópezمشاهده پروفایل

استادیار

• Communication Studies
• Journalism
• Social Media
• +۳ مورد دیگر

Concepción Gómez López is an Assistant Professor at the Department of Evolutionary Psychology and Communication in the College of Social Sciences and Communication at the University of Vigo. Her academic work focuses on communication technology, social media, media ethics, and crisis reporting. Recent research includes studies on AI applications in radio broadcasting, social media strategies during crises, and digital audience engagement. Key trends in her publications involve the intersection of artificial intelligence with media production, ethical considerations in poverty reporting, and the evolution of mobile radio applications. 2024: Impact of Intar Radio (AI-powered platform) 2023: Preventive Journalism frameworks 2022: Pandemic-era remote learning impacts She is affiliated with the CS1 Research Group in Communication and teaches courses on Radio Communication and its technical aspects.

Cüneyt BAYILMIŞمشاهده پروفایل

استاد

• Internet of Things
• Computer Vision
• Wireless Networks
• +۸ مورد دیگر

Prof. Dr. Cüneyt BAYILMIŞ is a Professor at Sakarya University's Faculty of Computer and Information Sciences, Department of Computer Engineering. He has been serving in this position since 2021, following his promotion from Associate Professor (2015-2021). His academic career at Sakarya University spans over 15 years, with previous appointments in the Faculty of Technology and Faculty of Technical Education. Dr. BAYILMIŞ earned his Doctorate in 2006 from Kocaeli University with a thesis on "Design of an interconnection unit that extends CAN segments using IEEE 802.11B clan," followed by a Master's degree in 2003 and Bachelor's degree in 2001, both from Sakarya University. His research spans multiple domains in computer engineering, with a strong focus on Internet of Things (IoT) , Computer Vision , Wireless Networks , and Cyber Security . His work demonstrates significant contributions to real-time systems, object detection, and lightweight cryptographic solutions for resource-constrained IoT devices. His recent publications show increasing interest in quantum neural networks for security applications and autonomous charging systems using computer vision. Dr. BAYILMIŞ's publication record reveals a consistent research trajectory focused on practical applications of networking technologies, with recent works emphasizing disaster management systems, D2D communication for public safety networks, and advanced techniques for IoT security. His research bridges theoretical concepts with real-world implementations, particularly in specialized domains like shore-to-ship charging and medical monitoring systems. As an academic advisor, Dr. BAYILMIŞ has supervised multiple graduate students, including doctoral candidate İSMAİL KIRBAŞ and master's students İBRAHİM NALBATCI, GAMZE DOĞALI, and ZUHAL YILDIRIM. His teaching portfolio includes courses on IoT applications, microprocessor systems, wireless network technologies, and computer engineering design. He has co-authored the book "Nesnelerin İnternet'i: Teori ve Uygulamaları" (2019) and contributed a chapter on "Yapay Zeka Dijital Sistemler ve Uygulamaları" (2021), demonstrating his commitment to knowledge dissemination in emerging technology fields.

Matthias C. Kettemannمشاهده پروفایل

استاد

• Internet Law
• Digitalization Governance
• Artificial Intelligence Regulation
• +۵ مورد دیگر

Matthias C. Kettemann is a full-time Professor of Innovation, Theory and Philosophy of Law at the University of Innsbruck , where he leads the Department of Legal Theory and Future of Law . He also serves as a research programme leader at the Leibniz Institute for Media Research | Hans Bredow Institute in Hamburg, research group leader at the Alexander von Humboldt Institute for Internet and Society in Berlin, and as a research group leader at the Sustainable Computing Lab in Vienna. His academic affiliations extend to associated researcher roles at institutions in Hamburg, Frankfurt am Main, and Graz. Head of Department, University of Innsbruck Research Programme Leader, Leibniz Institute for Media Research Research Group Leader, Humboldt Institute for Internet and Society Board Member, Sustainable Computing Lab Associated Researcher, Research Institute for Social Cohesion Prof. Kettemann’s research focuses on internet law , AI governance , platform regulation , digital constitutionalism , and innovation law . His publications and projects explore normative orders , multinormativity , and cybersecurity in digital spaces. His recent articles address human-in-the-loop AI systems , consumer credit algorithms , and democratic resilience against disinformation . He also investigates legal frameworks for data sovereignty and platform accountability in crisis situations . He has received prestigious scholarships, including the Fulbright and Boas Scholarships , and contributes to academic discourse as Managing Editor of the Mohr/Siebeck series 'Internet und Gesellschaft' , editorial board member of journals like jusIT and Media and Communication Studies , and scientific advisory board member of the European Yearbook on Human Rights . He is actively involved in reviewing for international publishers and academic journals. Prof. Kettemann teaches in German, English, and French, with courses in internet law , innovation law , international law , and legal philosophy since 2008. He supervises theses at bachelor, diploma, doctoral, and post-doctoral levels, emphasizing digital law and innovation frameworks . His third-party funding includes grants from the European Union , Friedrich-Ebert-Stiftung , Google , and Deutsche Telekom .

• Smart Grids
• Microgrids
• Energy Systems
• +۳ مورد دیگر

Iasonas Kouveliotis-Lysikatos is an Assistant Professor at the Department of Electrical & Computer Engineering of the University of Peloponnese since 2024. He previously worked as a postdoctoral researcher at the Royal Institute of Technology (KTH) in Stockholm (2019-2022) and as a researcher/engineer in industrial companies, focusing on Smart Grids, electromobility, and open-source energy system software development. Education : PhD in Power Systems (NTUA, 2019); BSc in Electrical and Computer Engineering (NTUA, 2013) His research spans distributed smart grid algorithms , multi-agent energy management systems , and blockchain applications in power systems . He has published over 20 papers, developed open-source frameworks like SpineOpt , and modeled intraday electricity markets, energy communities, and decentralized grid control. His recent publications focus on machine learning for electricity price forecasting , multi-energy system optimization , and blockchain platforms for decentralized distribution networks . He has contributed to open-source energy modeling tools and analyzed Nordic power system data and small-scale hydro coordination. He provides office hours at Building Z (1st Floor) on Tuesdays (8:00-9:00) and Wednesdays (09:00-10:00) at the University of Peloponnese. He is actively involved in community research projects funded by national and European bodies.

• Combustion Modeling
• Fluid Power
• Internal Combustion Engines
• +۳ مورد دیگر

Roberto Finesso is an Associate Professor at the Department of Energy (DENERG) at Politecnico di Torino, Italy. He is a member of the College of Mechanical, Aerospace and Automotive Engineering and contributes to the CARS@PoliTO Interdepartmental Center for Automotive Research and Sustainable Mobility. His research focuses on combustion modeling and control in diesel engines, fluid power systems, and optimization of hybrid electric vehicle layouts and control strategies. Scientific Disciplinary Sector: IIND-06/A - Fluid Machinery ERC Sectors: PE8_5 - Fluid Mechanics, Hydraulic-, Turbo-, and Piston-Engines SDG Goals: 4 (Quality Education), 9 (Industry, Innovation, and Infrastructure), 12 (Responsible Consumption and Production) His work spans combustion diagnostics , NOx and PM emission control , hybrid powertrain optimization , and machine learning for engine calibration . He employs 3D-CFD (Fluent) and 0D (Amesim) techniques for hydraulic component modeling and develops real-time control algorithms for diesel engines. His research also includes model-based calibration , pressure-based combustion control , and predictive tools for emission analysis . Recent research trends focus on integrating physics-based , semi-empirical , and neural network models for combustion control. He has pioneered techniques for offline and real-time EGR optimization , MFB50 control , and IMEP management in diesel engines. His studies address both light-duty and heavy-duty applications, emphasizing CO2 minimization and cost efficiency in hybrid vehicles. Scientific Awards: SAE Excellence in Oral Presentation Award (2013) Teaching Contributions: Course Instructor for Fundamentals of Fluid Machinery and Fundamentals of Thermal and Hydraulic Machines and Fluid Power (Mechanical Engineering, 2019–2025) Course Collaborator for Automotive Fluid Power Systems (Automotive Engineering, 2019–2025) Research Groups: FPRL Research Group (DENERG)

Andrea Belliniمشاهده پروفایل

دانشیار

• Economic Sociology
• Labor Relations
• Professional Sociology
• +۳ مورد دیگر

Andrea Bellini is an Associate Professor at Sapienza University of Rome's Department of Social and Economic Sciences, where he teaches and conducts research in economic sociology and labor sociology. He earned a PhD in Sociology from the University of Florence, focusing on middle-class representations in social theory. Academic Affiliation: Department of Social and Economic Sciences, Sapienza University of Rome Education: PhD in Sociology, University of Florence (thesis on middle-class representations) His research explores professions and industrial relations with particular focus on new forms of work organization and representation in cultural and creative industries. He leads national and international research projects funded by entities like the European Commission, examining topics such as: Labor market transparency and skill recognition Professionalism in globalizing contexts Unionization through service innovation Small firm labor regulation Creative work dynamics Participatory governance models Recent publications address professionalism differentiation (2023), healthcare worker identity (2023), and labor market transparency (2025). His 15 most recent articles (2018-2025) span labor economics, professional sociology, and cultural theory with specific subfields like digital creative work regulation, migrant professional integration, and institutional change. He serves as: Board Member & Secretary/Treasurer of Research Committee 52 (Sociology of Professional Groups) at International Sociological Association Member of doctoral faculty in Social and Economic Sciences, Sapienza Peer reviewer for leading journals including American Journal of Sociology and Social Policy and Administration Teaching activities include: Social Policy (STESS) Professions and Management of Social and Health Services (PROSS) Economic Sociology Sociology of Labor Markets Office hours available via email scheduling and Zoom meetings at https://uniroma1.zoom.us/my/andreabellini .

Miguel F. Anjosمشاهده پروفایل

استاد

• Mathematical Optimization
• Operational Research
• Conic Optimization
• +۶ مورد دیگر

Miguel F. Anjos is a Professor in the School of Mathematics at the University of Edinburgh, where he serves as Deputy Head of School and Head of the research theme Data and Decisions. He also holds an Associate Professor position at Polytechnique Montréal in the Department of Mathematics and Industrial Engineering. Additionally, he chairs the Mathematical Optimization Society (2023-2025) and serves as Vice-President (International Activities) of INFORMS. His research focuses on mathematical optimization to solve large-scale discrete nonlinear optimization problems in engineering applications, particularly in conic optimization for facility layout problems and optimal power flows in electricity grids. His work addresses critical challenges in smart grid development, including efficient network utilization, renewable energy integration, energy storage, and customer participation in grid operations. He has extensive industry experience working with National Grid ESO, Hydro-Québec, Schneider Electric, Rio Tinto, and EDF. His publications reveal a strong focus on optimization methods applied to energy systems, with recent work spanning bilevel optimization, robust optimization with uncertainty quantification, electric vehicle infrastructure planning, and carbon credit markets. His research consistently bridges theoretical optimization with practical engineering applications. Canada Research Chair in Nonlinear Discrete Optimization in Engineering (2011-2016) NSERC-Hydro-Québec-Schneider Electric Industrial Research Chair in Smart Grid Optimization (2016-2019) INRIA International Chair for Optimizing Smart Grids (2016-2021) Winner of MOPTA 2020 and 2024 competitions Queen Elizabeth II Diamond Jubilee Medal (2012) Fellow of the Humboldt Foundation, EUROPT, and Canadian Academy of Engineering Professor Anjos has supervised numerous PhD students and postdoctoral fellows, with graduates securing positions at academic institutions including University of Tennessee, Western Ontario University, and industry roles at Amazon, CAISO, and major consultancies. He maintains three benchmark datasets (QAPLIB, FLPLIB, and the Jones Benchmark) as a service to the optimization community.

• Platform Labor Studies
• Science and Technology Studies
• Precarious Work
• +۹ مورد دیگر

Konstantinos Floros is a researcher at the IT University of Copenhagen specializing in platform labor, migration studies, and digitalization of work. His work bridges Science and Technology Studies with Labor Studies , focusing on precarious employment and algorithmic management in the gig economy. Research Interests Platform Labor and Gig Economy Precarious Work and Algorithmic Management Migrant Labor and Digital Practices Digitalization of Domestic Work Labor Movements and Resistance Projects CUPP Project on predictive policing (2021–2025) DIGINAUTS project (2018–2022) on migrants' digital practices in EU border regimes Publications highlight trends in algorithmic management, digital labor platforms, and migrant work conditions, particularly in Denmark and Greece.