جست‌وجوی استاد و پژوهشگر

Kirill Glavatskiyمشاهده پروفایل

مدرس

• Statistical Physics
• Sociophysics
• Chemical Engineering
• +۷ مورد دیگر

Dr. Kirill Glavatskiy is a Lecturer in Data Science and Statistics at the School of Information and Physical Sciences, University of Newcastle, Australia. His research spans Statistical Physics , Sociophysics , and Chemical Engineering , focusing on mathematical and computational modeling of complex systems where collective behavior and self-organization emerge from individual interactions. He applies thermodynamic and data-driven frameworks to understand natural, social, and industrial systems, particularly using agent-based modeling and non-equilibrium thermodynamics . Education: PhD in Physics from the Norwegian University of Science and Technology. Languages: Fluent in English and Ukrainian, working knowledge of Norwegian. His work explores phase transitions in urban systems (e.g., monocentric to polycentric city structures), thermodynamic resistance in nanofluidics , and critical phenomena in multi-agent systems . Key projects include modeling urban migration dynamics as irreversible diffusive processes and analyzing Fisher Information in coupled networks to detect transitions to chaos. Recent publications highlight his contributions to diverse fields: from fluid transport in nanoporous membranes to social influence in real estate markets . His 2025 study on transient heat conduction bridges microscopic dynamics with macroscopic predictions, while his 2021 work on urban attractors reveals equilibrium configurations in closed systems.

Isabel Côtéمشاهده پروفایل

استاد

• Sociology of the family
• Third-party reproduction
• LGBTQ+ studies
• +۵ مورد دیگر

Isabel Côté is Full Professor in the Department of Social Work at Université du Québec en Outaouais and holds the Research Chair on third-party reproduction and LGBTQ+ family life. She co-directs the UNIE-LGBTQ partnership, is a core member of the province-wide Family-in-Motion and RéQEF feminist-studies networks, and leads a multi-method qualitative programme on surrogacy, gamete donation and child-centred research methodologies. Education: While specific degrees are not listed in the provided text, her appointment as Full Professor and extensive publication record indicate doctoral and post-doctoral training in social work or sociology with specialization in family and gender studies. Research interests revolve around three interconnected axes: (1) sociological and anthropological analyses of third-party reproduction (surrogacy, egg & sperm donation) that foreground children’s own voices; (2) feminist and LGBTQ+ approaches to contemporary kinship, polyamorous parenting and legal recognition; and (3) innovative qualitative and participatory methods that position children as competent research partners. Her work consistently links empirical micro-level narratives to macro-level policy debates on reproductive justice and family diversity. Across 2023-2025 her articles cluster in emerging fields such as donor-offspring contact, insemination fraud, polyamorous family configurations, and migrant children’s safety—demonstrating a trajectory toward intersecting vulnerabilities, ethics of disclosure, and child well-being in non-normative families. Current roles & teams: Chairholder of the Research Chair on third-party reproduction; co-director of UNIE-LGBTQ Research Partnership; affiliated researcher with Partenariat Famille en mouvance and RéQEF; supervisor of graduate students and post-doctoral fellows in social work.

Francesco CASTELLANETAمشاهده پروفایل

استاد

• Strategy
• Entrepreneurship
• Private Equity
• +۵ مورد دیگر

Francesco CASTELLANETA is a Professor in Strategy and Entrepreneurship at SKEMA Business School, France, where he has been serving since 2017. He also holds significant leadership roles including Director of the Skema PhD - Management Specialization and UCA JEDI Chair of Excellence. Previously, he was an Assistant Professor in Strategy and Entrepreneurship at Católica Lisbon School of Business & Economics, Portugal (2011-2017). His academic affiliations include the PhD Program at LUMSA and Italian National Research Council, and he was an International Faculty Fellow at MIT Sloan School of Management in 2014. Professor CASTELLANETA earned his HDR in management sciences from Côte d'Azur University (2019), PhD in Business Administration and Management from Bocconi University, Italy (2011), and BSc from Bocconi University, Italy (2004). His educational background reflects a strong foundation in business administration with a focus on strategic management and entrepreneurship. His research spans multiple domains including entrepreneurship, private equity, gender pay gap, social innovation, and intellectual property. He investigates how institutions lowering barriers to entrepreneurship affect female workers, the impact of theatrical activities on prison inmates' social skills, and the relationship between digital distance and bodily presence in hybrid teaching. His work often examines the nuanced effects of policies and practices on organizational outcomes, revealing both intended and unintended consequences across various contexts. His publication record demonstrates consistent high-quality output in top-tier journals including Strategic Management Journal, Journal of Management Studies, and Journal of Business Ethics. His research shows a clear trajectory from studying private equity and acquisition integration toward broader questions of entrepreneurship, gender dynamics, and social innovation. His most recent work increasingly addresses contemporary issues such as hybrid teaching during the pandemic and debt suspension programs for SMEs. Professor CASTELLANETA actively contributes to the academic community as a member of editorial boards for Journal of Management Studies (since 2024) and Strategic Management Journal (2022-2025). Since 2023, he has chaired the 'Competitive Strategy Group' within the Strategic Management Society (SMS). He serves as thesis director for multiple doctoral students including C. BOULOS, W. MATTHEWS, and A. YEPREMYAN. His academic service extends to grant evaluation for the Luxembourg National Research Fund (FNR) in 2015. His research activities are supported through his leadership in the Knowledge, Technology and Organization Research Center at SKEMA Business School's Sophia Antipolis campus. His work demonstrates strong interdisciplinary connections between business strategy, entrepreneurship, and social impact.

Rosalia Santulliمشاهده پروفایل

دانشیار

• Corporate Finance
• Corporate Governance
• Family Business
• +۱ مورد دیگر

Rosalia Santulli, Ph.D., serves as Associate Professor of Corporate Finance at the University of Genoa (Italy) and holds an Affiliated Researcher position at IPAG Business School (Paris, France). Her academic appointments span multiple international institutions, including visiting researcher roles at the Witten Institute for Family Business (Germany) and IPAG Business School's Nice Campus. Her educational background includes a Ph.D. in Marketing and Communication (2014), Master's in Business Consulting and Management (2011), and Bachelor's in Economics and Business Administration (2009), all from the University of Salerno. Her research spans four core areas: Corporate Finance - Focusing on credit access, FinTech disruption, and SME financing Corporate Governance - Analyzing board structures and financial distress prediction Family Business - Investigating managerial decision-making and succession dynamics Social and Sustainable Finance - Exploring ESG integration and impact investing frameworks Recent publications reveal a strong trend toward sustainable finance and digital transformation in capital markets, with nearly half of her 2021-2025 output examining ESG factors, crowdfunding dynamics, and FinTech impacts. Her work frequently employs advanced methodologies including configurational analysis, Bayesian statistics, and systematic literature reviews. Scientific recognitions include: Best Paper Award at ICSB Global Entrepreneurship Conference (2018) Best Conference Paper Award for First-Time Presenter at IFERA Conference (2015) Best Foreign Contribution Award at Grand Prix de l'Economie PME (2015) Santulli actively contributes to funded research projects and serves in three international research groups. She is a core member of Bifelab – Laboratorio di Ricerca Banca, Impresa, Finanza e Etica, and has organized major conferences including the 2024 SPGC Global Family Business Summit. Her editorial work includes guest editing a special issue on digital entrepreneurial finance for the Journal of Small Business and Enterprise Development.

Alain Gillesمشاهده پروفایل

استاد

• Sociology
• Social Bonds
• Conflict Studies
• +۳ مورد دیگر

Alain Gilles is a Professor of Sociology with a Ph.D. from Columbia University. He currently serves as vice-president in charge of academics at the University of Quisqueya in Port-au-Prince, Haiti. His research focuses on social structures, conflict, and violence in Haitian society, with particular attention to the relationship between urbanization, social bonds, and political violence. His research interests center on the sociological dynamics of Haitian society, particularly examining how social bonds, trust, and institutional relationships contribute to patterns of violence. Gilles investigates how rural-to-urban migration has transformed Haitian social structures, leading to the formation of slums where weak social ties and low trust create environments conducive to violence. His work explores the connections between everyday social relations and political violence, challenging conventional understandings of Haiti's social challenges. Gilles' publications reveal a consistent focus on understanding violence in Haiti through sociological frameworks. His work demonstrates how political violence is often instrumentalized from pre-existing social tensions and weak community structures. The research shows how trust (or lack thereof) in social relationships versus institutions creates different risk factors for violence in different community contexts. His studies provide nuanced analyses of how Haiti's specific social configuration shapes its political landscape. Gilles has primarily published through academic channels including PRIO (Peace Research Institute Oslo) and scholarly journals such as CONJONCTION, the Franco-Haitian Review of the French Institute of Haiti. His work has been featured in the 'Contemporary Social Sciences' Collection and he has collaborated with institutions like the Center for Studies and Research on the Development of Cultures and Societies (CERDECS).

Maksim Kitsakمشاهده پروفایل

دانشیار

• Network Science
• Complex Networks
• Hyperbolic Geometry
• +۶ مورد دیگر

Maksim Kitsak is an Associate Professor (tenured) at the Faculty of Electrical Engineering, Mathematics and Computer Science at Delft University of Technology. He serves as the M.Sc. Program Coordinator for the Wireless Communication and Sensing track and is an Editorial Board Member for Nature Scientific Reports and IEEE Transactions on Network Science and Engineering. He also co-chairs the Dutch Network Science Society. Dr. Kitsak earned his Ph.D. in Physics from Boston University in 2009, advised by Prof. H.E. Stanley and Prof. S. Havlin. His academic career includes positions at Northeastern University, Dana-Farber Cancer Institute, and University of California San Diego before joining Delft University of Technology in March 2020 as a tenure-track Assistant Professor, achieving tenure in May 2022. His research spans network science with expertise in complex networks, hyperbolic geometry, epidemic spreading, and network resilience. He has pioneered work on using latent geometric spaces to understand network structure and function, with applications in communication networks, pandemic forecasting, and molecular biology. His influential 2010 Nature Physics paper on identifying influential spreaders in networks challenged conventional wisdom and spurred significant follow-up research. His publication record shows a strong trajectory with recent work focusing on hyperbolic geometry applications across multiple dimensions, network resilience in transportation systems, and epidemic modeling. His research has appeared in high-impact journals including Nature Communications, Nature Scientific Reports, and Physical Review journals, demonstrating both theoretical depth and practical applications. NWO VICI research grant for studying shortest paths in large incomplete networks Dutch Research Council (NWO) funding for "Mathematical Description and Inference of Complementarity Mechanisms in Complex Networks" Seed funding from TU Delft Safety and Security Institute for privacy and security theory Dr. Kitsak actively mentors students including Ph.D. candidates Roberto Gheda (Federated Learning, AI, and Privacy), Yongdin Tian (decentralized Machine Learning), and Elizaveta Evmenova (complementarity principles in networks), as well as M.Sc. students. His research group at Delft University of Technology focuses on advancing network science theory while applying insights to real-world problems in communication networks, network medicine, and pandemic response, with two current postdoctoral openings funded by the NWO VICI grant.

• Artificial Intelligence Planning
• Argumentation
• Domain-Independent Planning
• +۱۰ مورد دیگر

Dr. Mauro Vallati is a Senior Lecturer at the School of Computing and Engineering, University of Huddersfield (UK). His career spans multiple international institutions, including roles as a Research Fellow at the University of Brescia (Italy) and Visiting Researcher appointments at the University of British Columbia (Canada), Delft Technical University (Netherlands), Universidad Nacional del Sur (Argentina), and National Institute of Informatics (Japan). He earned his Ph.D. in 2012 from the University of Brescia for research on learning techniques in automated planning. His research focuses on core areas of artificial intelligence, particularly automated planning and scheduling , with applications in medicine, transportation, and computational creativity. He specializes in domain-independent planning, knowledge engineering, SATisfiability, heuristic search, and algorithm configuration. As an active contributor to his field, he serves as a member of ACM SIGAI and holds the prestigious ACM Distinguished Speaker title. His work bridges theoretical advancements in AI with practical implementations across diverse domains. Scientific Awards: ACM Distinguished Speaker

• Energy Systems
• Sustainable Design
• Socio-technical Transitions
• +۲ مورد دیگر

Marika Silvikko serves as an Academy Research Fellow within the Department of Design at Aalto University's School of Arts, Design and Architecture. Her position, funded by the Academy of Finland, establishes her as an independent researcher focusing on critical energy and nuclear governance challenges. Her research investigates socio-technical transitions through two primary lenses: hybrid energy configurations in Finnish households and socio-technical imaginaries in nuclear waste management. Employing Science and Technology Studies (STS) frameworks, she examines citizen agency in heating system adoption and transdisciplinary approaches to radioactive waste disposal. Key themes include peer-support networks in energy transitions, socio-technical divides in risk perception, and the normalization of nuclear safety through cultural familiarization. Analysis of her recent publications reveals consistent interdisciplinary collaboration across Finland and internationally, with recurring co-authors including Sini Numminen, Sampsa Hyysalo, and nuclear governance experts like Catrinel Turcanu. Her work bridges engineering, social sciences, and policy studies, emphasizing practical applications for sustainable transitions. She actively contributes to the Inuse research group at Aalto University, which focuses on sustainable design and user-centered energy solutions. Her Academy Research Fellowship provides dedicated resources for advancing independent research on energy system hybridization and nuclear waste governance.

• Educational Development
• Primary Education
• Science and Technology Education
• +۴ مورد دیگر

Dr. Willemijn Schot serves as an Educational Consultant/Trainer and Researcher at Utrecht University's Center for Teaching and Learning within the Faculty of Social and Behavioural Sciences. Her work bridges educational theory and practice across multiple domains of teaching and learning. Her educational background spans Psychology (BA), Cognitive Neuroscience (MSc), Human Movement Sciences (PhD), and Pedagogical Sciences (postdoc). This interdisciplinary foundation informs her research approach to educational challenges. Schot's research focuses on primary education development , particularly in science and technology education, teacher training methodologies, and educational quality assessment. She has developed expertise in Lesson Study implementation, process quality observation in early childhood settings, and e-learning innovations. Her work demonstrates strong connections between cognitive science principles and practical classroom applications. Her publication record shows consistent scholarly output since 2008, with recent emphasis on technical education assessment tools, teacher judgment accuracy, and diagnostic instrument development for primary educators. The research spans educational psychology, cognitive development, and practical teacher training applications. Schot actively contributes to university-wide educational improvement projects across multiple faculties (FSW, GNK, REBO, BETA), developing courses for PhD supervisors and lecturers on didactic methods (BKO certification). She maintains professional connections through conference presentations including EARLI 2017 and the Jean Piaget Society meetings, focusing on practical applications of educational research in real-world settings.

Robert Janjicمشاهده پروفایل

پژوهشگر

• Organizational Design
• Online Communities
• Decision Making in Organizations
• +۳ مورد دیگر

Robert Janjic serves as a Postdoctoral Researcher at the Evidence Based Strategic Management chair within the University of Vienna since March 2025. He is concurrently finalizing his doctoral studies in Business Administration at the same institution, having previously undertaken a visiting PhD student position at Imperial College London in early 2024. His academic credentials include a Master's degree in Business Administration and ongoing PhD research at the University of Vienna, supplemented by international research experience at Imperial College London. This foundation supports his empirical investigations into modern organizational phenomena. Janjic's research program rigorously examines organizational design frameworks, digital community dynamics, and cognitive processes in organizational decision-making. His work specifically investigates how structural configurations and monitoring systems influence exploratory behaviors and innovation outcomes, with particular emphasis on the interplay between hierarchical control mechanisms and subordinate autonomy. He employs quantitative methodologies to analyze search patterns in complex organizational environments, contributing to theoretical advancements in strategic adaptation and knowledge creation processes. His seminal 2023 publication in the Strategic Management Journal established empirical linkages between supervisory monitoring intensity and subordinate search behaviors, revealing nuanced effects on organizational exploration. This research, presented at premier conferences including the Academy of Management and Strategic Management Society, demonstrates consistent methodological rigor in examining organizational control systems through behavioral lenses, with emerging applications in digital platform governance. No scientific awards or honors were documented in the source material. The available information does not specify any formal student advising roles, mentorship activities, or externally funded research grants associated with Dr. Janjic's current position. As an integral member of Prof. Dr. Johannes Luger's Evidence Based Strategic Management research team, Janjic contributes to a collaborative environment focused on data-driven approaches to strategic decision architecture and organizational effectiveness, participating in ongoing projects examining evidence-based frameworks for complex organizational challenges.

Ning Luoمشاهده پروفایل

استادیار

• Formal Methods
• Automated Reasoning
• Cryptography
• +۴ مورد دیگر

Ning Luo is a tenure-track Assistant Professor in the Department of Electrical and Computer Engineering at the University of Illinois Urbana-Champaign. She holds a Ph.D. in Computer Science from Yale University and completed a postdoctoral fellowship at Northwestern University. Education: BS in Mathematics, Shandong University (2017); Ph.D. in Computer Science, Yale University (2022) Her research focuses on combining formal methods , automated reasoning , programming languages , and cryptography to achieve security , verifiability , and confidentiality in complex systems. Recent works include zero-knowledge proofs for SMT theorems, privacy-preserving interdomain verification, and oblivious automata for secure regular expression matching. Her publications span top venues like USENIX Security , CCS , ESORICS , and INFOCOM , with interests in zero-knowledge protocols , formal verification , secure multi-party computation , and privacy-enhancing technologies . She has received multiple awards including the Yale Distinguished Dissertation Award (2023) and CCS Distinguished Paper Award (2022). Ph.D. advisees: Gefei Tan (UIUC), Lenny Liu (UIUC) Former mentees: Haotian Chu (NU), John Kolesar (Yale), Daniel Luick (Yale) She teaches courses on Computer Security , Cryptography , and Deployable Privacy Technologies , emphasizing hands-on implementation of cryptographic frameworks like MP-SPDZ and ObliVM. Her lab (CSL 457) actively seeks students with strong research integrity.

Daniel Karapetyanمشاهده پروفایل

استادیار

• Combinatorial Optimization
• Artificial Intelligence
• Data Science
• +۱۷ مورد دیگر

Daniel Karapetyan is an Assistant Professor at the School of Computer Science , University of Nottingham, and a member of the Computational Optimisation and Learning Lab . His research spans Artificial Intelligence , Data Science , Operational Research , and Optimization , with applications in transportation , logistics , satellite mission planning , and access control . Education: PhD in Computer Science, Royal Holloway, University of London (2007–2010) BSc/MSc in Computer Science, Bauman Moscow State Technical University (2001–2007) His research interests focus on the automated design of heuristic algorithms , multi-objective optimization , and parameter tuning for machine learning and combinatorial problems. He integrates Large Language Models (LLMs) and hyperparameter optimization into practical systems, addressing real-world challenges in airport sequencing , TV ad scheduling , and electric vehicle range prediction . Notable scientific contributions include the CORS Practice Prize (2014) for ferry scheduling work and pioneering fixed-parameter algorithms in security-related optimization problems. His publications emphasize combinatorial optimization , Markov Chain methods , and automated algorithm configuration . Teaching roles include module convener for COMP3008: Knowledge Representation and Reasoning , personal tutoring for COMP1002 , and supervision of COMP2002: Software Engineering Group Project . He also offers PhD supervision in areas like AI for optimization , interpretability in ML , and emergency department coordination .

Christian Kästnerمشاهده پروفایل

دانشیار

• Software Engineering for AI-Enabled Systems
• Open-Source Sustainability
• Software-Supply-Chain Security
• +۷ مورد دیگر

Christian Kästner is an Associate Professor in the Software and Societal Systems Department (S3D) within Carnegie Mellon University's School of Computer Science, where he also serves as the director of the CMU Software Engineering Ph.D. Program. His work bridges software engineering and machine learning, focusing on the practical challenges of building production systems with ML components. His research spans several interconnected areas: software engineering for AI-enabled systems (particularly "Machine Learning in Production"), sustainability and fairness in open source communities, and software-supply-chain security. He investigates the limits of modularity and complexity caused by variability in software systems, with applications in quality assurance, interoperability, and feature interactions. His approach combines rigorous empirical research with program analysis and tool building. His recent publications reveal a strong trend toward ML systems engineering, with numerous papers on building reliable ML products, understanding open source sustainability challenges, and securing software supply chains. His work often involves large-scale empirical studies and the development of practical tools to address real-world software engineering problems. He has received multiple distinguished paper awards at top software engineering conferences including ICSE and FSE for his work on dependency abandonment, supply chain security, and collaboration challenges in ML systems. As an educator, he created and teaches the "Machine Learning in Production" course, which formed the basis for his MIT Press book of the same name. He has advised numerous PhD students and mentored many REU students, with several former students now holding faculty positions or working at major tech companies. His service to the community includes extensive program committee work for major software engineering conferences and editorial roles, demonstrating his significant influence in the field.

• Optimization
• Machine Learning
• Unsupervised Learning
• +۵ مورد دیگر

Julia Handl is a Professor in Decision Sciences at Alliance Manchester Business School, University of Manchester, and a member of the European Laboratory for Learning and Intelligent Systems (ELLIS). Her interdisciplinary career spans computer science, optimization, and biomedical applications. PhD in Interdisciplinary Biocentre (2006) MSc in Computer Science (2003) BSc in Computer Science (2001) Research focuses on unsupervised learning , multi-criteria optimization , and evolutionary computation , with applications in industrial knowledge exchange and UN Sustainable Development Goals. Recent work bridges graph reinforcement learning and deep learning for complex problem-solving. 2024 research outputs highlight trends in neural optimization frameworks , randomness techniques , and predictive modeling for healthcare. Contributions span algorithm design , instance space analysis , and medical AI . Scientific Awards MRC Special Training Fellowship DAAD Scholarship Gottlieb-Daimler & Karl-Benz Foundation Support Secured over £1m in research funding and held leadership roles including Associate Head of Division (2018-2021) and e-Research Lead for the Faculty of Humanities (2021-present). Collaborates across Manchester's three faculties and industry partners.

Juraj Benićمشاهده پروفایل

استادیار

• Control theory
• Fluid power systems
• Internet of Things (IoT)
• +۷ مورد دیگر

Assistant Professor Juraj Benić is a control engineer at the School of Applied Mathematics and Informatics, Josip Juraj Strossmayer University of Osijek, Croatia . His interdisciplinary work bridges control theory, fluid power systems, IoT, and data-driven maintenance , with applications ranging from forestry vehicles to unmanned aerial systems. Education PhD in Control Theory and Mechanical Engineering, 2022 – University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture MSc in Control Theory and Mechanical Engineering, 2017 – University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture BSc in Control Theory and Mechanical Engineering, 2015 – University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture Research Interests Prof. Benić’s core research areas include: Energy-efficient direct-driven hydraulic (DDH) systems for mobile machinery Hybrid-electric powertrains for forestry skidders and multirotor UAVs IoT-enabled predictive maintenance using convolutional neural networks and vibration analysis Fuzzy-logic and ontology-based controllers for electro-hydraulic systems Human-robot interaction and context-aware robotics Computational linguistics and digital corpora of Croatian dialects Publication Trends Since 2018 he has produced more than 25 peer-reviewed works. The 2023-2024 journal articles focus on hybrid UAV propulsion and comparative energy efficiency of hydraulic systems , while earlier works delve into fuzzy control ontologies , predictive maintenance via IIoT and fuel-saving hybrid skidders . Interspersed linguistic contributions showcase his versatility in digital dialectology. Scientific Awards & Recognition While explicit awards are not listed, he has delivered invited lectures (University of Maribor, 2021) and participated in study visits (South Kazakhstan State University, March 2024), indicating growing international recognition. Supervision & Collaboration He collaborates closely with colleagues from the University of Zagreb and University of Osijek, co-authoring with researchers such as D. Pavković, Ž. Šitum, M. Cipek, and D. Brezak. Student supervision is implied through experimental rigs and project descriptions, although specific advisee names are not provided. Laboratory & Field Infrastructure Research is supported by fully instrumented hydraulic test benches, a retrofitted deep-drilling rig, IoT accelerometer networks, and field-measurement campaigns on commercial skidders equipped with telematics (WIGO-E) for long-term fuel and energy-data logging.