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• Risk Theory
• Actuarial Mathematics
• Bankruptcy Theory
• +4 more

Χατζηκωνσταντινίδης Ευστάθιος is a Professor at the University of Piraeus in the Department of Statistics and Actuarial Science. His academic career spans decades with significant contributions to actuarial mathematics and statistical theory. He teaches undergraduate courses in Actuarial Mathematics, Risk Theory, and Reliability Theory, and postgraduate courses in Generalized Linear Models and Risk Management. Education: PhD in Mathematics (1990) - Aristotle University of Thessaloniki (Grade: Excellent) BSc in Mathematics (1985) - Aristotle University of Thessaloniki (Grade: Excellent) Research Focus: His work centers on risk theory, bankruptcy modeling, compound Poisson processes, and optimal experimental designs. He has developed innovative approaches to: Perturbed risk models with diffusion processes Copula-based dependence modeling in insurance Gerber-Shiu function analysis for dividend strategies Recursive methods for compound distributions His research bridges theoretical mathematics with practical actuarial applications. Publication Trends: Analytical studies of stochastic processes dominate his recent work, focusing on: Ruin probabilities and deficit distributions Dependence modeling using copulas Optimal dividend strategies Computational methods for risk models Earlier publications emphasize experimental design optimization and reliability theory. Administrative Leadership: Chair of Department of Statistics and Actuarial Science (2007-2009) Director of Postgraduate Program in Actuarial Science & Risk Management Member of Senate of University of Piraeus Deputy Chair of Ministry of Finance's Actuarial Examination Committee Research Projects: Has participated in multiple funded projects including: 'Optimal Experimental Designs' (Greek Ministry of Education) 'Modern Model for Actuarial Studies Preparation' (University of Piraeus) EPEAEK programs on statistical applications

Eitan AltmanView profile

Professor

• Game Theory
• Stochastic Modeling
• Telecommunications
• +5 more

Eitan Altman is a full Professor at INRIA Sophia Antipolis , where he has held a tenure position since 1994. He has coordinated numerous projects in game theory , stochastic modeling , and wireless network optimization . Director of Research (Full Professor equivalent) at INRIA since 2009 Invited Professor at LIA, University of Avignon since 2005 Education : Habilitation (1998) - University of Nice-Sophia-Antipolis Ph.D. in Electrical Engineering (1990) - Technion, Haifa, Israel B.Sc. (Summa Cum Laude) - Electrical Engineering, Technion (1985) B.A. (Summa Cum Laude) - Physics, Technion (1985) Altman's research bridges game theory applications with telecommunications systems , focusing on network optimization , stochastic control , and dynamic resource allocation . His work includes modeling multi-hop ad-hoc networks , analyzing mobile network protocols , and developing power-saving mechanisms for wireless standards. Key scientific awards include: Distinguished Technical Achievement Recognition Award (IEEE TCBD, 2017) Isaacs Award (Society of Dynamic Games, 2014) Grand Prix France Telecom (French Academy of Sciences, 2012) INRIA Excellence in Research Award (2009) Best Associate Editor Award (Computer Networks, 2003) Altman has served as Associate Editor for multiple journals including IEEE/ACM Transactions on Networking and Journal of Dynamics and Games . He has coordinated European projects like BIONETS and CONGAS , and held leadership roles in workshops such as WiOpt and NetGcoop .

Erhun KundakcıoğluView profile

Professor

• Combinatorial Optimization
• Decision Analytics
• Supply Chain Management
• +9 more

Erhun Kundakcıoğlu is a Professor in the Department of Industrial Engineering at Ozyegin University's Faculty of Engineering. He received his Ph.D. in Industrial and Systems Engineering from the University of Florida (2009) with a minor in Computer and Information Science and Engineering, following an M.S. in Industrial Engineering at Sabancı University (2004) and B.S. at Bilkent University (2002). He served as Assistant Professor at University of Houston (2009-2013) and Director/Distinguished Scientist at Optym (2019-2021). Ph.D.: Industrial and Systems Engineering, University of Florida (2009) M.S.: Industrial Engineering, Sabancı University (2004) B.S.: Industrial Engineering, Bilkent University (2002) His research focuses on combinatorial optimization and decision making under uncertainty , with applications in healthcare analytics , sustainable energy systems , supply chain management , and data science . He has developed optimization models for inventory control, lot sizing, and routing problems under uncertain demand/supply conditions, particularly in healthcare and humanitarian contexts. His work with the Datart Lab integrates mathematical programming into practical solutions for industry partners. Recent publications highlight his expertise in disaster relief inventory simulation, healthcare inventory management, and time series decomposition optimization. He supervises active graduate students including Deniz N. Yoltay (Ph.D.) and Buket İpek Akbal (M.S.). Early Career Award, TUBITAK Teaching Excellence Award, University of Houston Florida Chapter Scholarship, HIMSS Foundation As Associate Editor for the Journal of Global Optimization , Optimization Letters , and SN Operations Research Forum , he contributes to academic discourse in optimization and analytics. His consulting firm Datart R&D Management Consulting bridges academic research with industry applications in Turkey and abroad.

Remous-Aris KoutsiamanisView profile

Associate Professor

• Geo-distributed systems
• Internet of Things
• Industrial Internet of Things
• +7 more

Remous-Aris Koutsiamanis is an Associate Professor at IMT Atlantique in Nantes, France, working on networking aspects of geo-distributed systems since September 2020. Previously, he was a postdoctoral researcher at IMT Atlantique in Rennes, France, focusing on Industrial Internet of Things (IIoT) protocols. He earned a Ph.D. in Electrical and Computer Engineering from Democritus University of Thrace (2016), an M.Sc. in Artificial Intelligence from the University of Edinburgh (2006) under a Bodosaki Foundation scholarship, and a B.Sc. in Informatics from the University of Piraeus (2005) with distinction. His research interests include Geo-distributed systems , Industrial Internet of Things , Quality of Service , and Distributed resource management , leveraging algorithmic game theory and network protocols . His work spans deterministic packet delivery, RPL optimization, and wireless scheduling, with a focus on IIoT reliability. He has contributed to journals like IEEE Transactions on Industrial Informatics and conferences like IEEE ICC , ISCC , and WF-IoT . His recent articles emphasize Industrial IoT , Wireless Network Reliability , and Protocol Design . Scientific Awards include the Bodosaki Foundation scholarship for his M.Sc. studies.

David MaloneView profile

Professor

• Mathematical Modeling
• WiFi Networks
• Power Line Communications (PLC)
• +5 more

David Malone is a Professor and Director of the Hamilton Institute at Maynooth University, affiliated with the Department of Mathematics & Statistics. His research focuses on networking security, wireless network modeling (802.11 and IPv6), power line communications, and password security analysis. Education: B.A.(mod), M.Sc., Ph.D. in Mathematics from Trinity College Dublin Research Interests: Mathematical modeling of networks, WiFi/PLC measurement, password security, IPv6 administration, and wireless network optimization Email: david.malone@mu.ie Recent publications analyze non-cryptographic hash functions, password guessing algorithms, and network security protocols. He has supervised numerous Ph.D. and M.Sc. students in networking and security domains.

Tal RavivView profile

Associate Professor

• Operations Research
• Transportation
• Logistics
• +2 more

Prof. Tal Raviv is an Associate Professor in the Department of Industrial Engineering at the Iby and Aladar Fleischman Faculty of Engineering, Tel Aviv University. He serves as head of the Shlomo Shmeltzer Institute for Smart Transportation and co-heads the Transportation and Logistics Lab. His educational background includes: BA in Economics from Tel Aviv University (1993) MBA from Recanati School of Business, Tel Aviv University (1997) PhD in Operations Research from Technion (2003) Postdoctoral fellowship at Sauder School of Business, University of British Columbia (2004-2006) Prof. Raviv's research focuses on operations research with emphasis on transportation and logistics, particularly smart transportation and sustainable logistics. His work develops optimization models for bike-sharing systems, vehicle routing, and urban mobility to enhance efficiency and user satisfaction while addressing sustainability challenges. Recent publications reveal a strong trend in shared mobility systems optimization, including inventory control and repositioning strategies for bike-sharing networks, analysis of user dissatisfaction due to unusable vehicles, and flexible delivery solutions using parcel lockers. His research bridges theoretical operations research with practical industry applications in transportation networks. Prof. Raviv has advised startup companies, applying his expertise to real-world business challenges. While specific grant details are not provided, his work demonstrates significant industry relevance through practical implementations. He leads the Transportation and Logistics Lab and the Shlomo Shmeltzer Institute for Smart Transportation, where his team develops innovative solutions for modern transportation challenges including data-driven routing, sustainable logistics, and smart infrastructure optimization.

Xiuli ChaoView profile

Professor

• queueing
• scheduling
• financial engineering
• +2 more

Xiuli Chao serves as the Ralph L. Disney Collegiate Professor in the Department of Industrial & Operations Engineering at the University of Michigan. Holding a Ph.D. from Columbia University, he teaches core courses including IOE 512, 515, 516, 541, 616, and 641. His research spans critical domains in operations research: Queueing theory and stochastic modeling Advanced scheduling algorithms Financial engineering applications Inventory optimization systems Global supply chain management Professor Chao co-developed the influential Lekin Scheduling System and authored two seminal texts: 'Operations Scheduling with Applications in Manufacturing and Services' (1998) and 'Queueing Networks: Customers, Signals, and Product Form Solutions' (1999). His academic footprint extends through visiting appointments at UC Irvine, Columbia University, North Carolina State University, HKUST, and NUS, alongside extensive industry consulting on logistics and inventory systems. His distinguished recognition includes: 1998 Erlang Prize from INFORMS Applied Probability Society 2005 David Baker Distinguished Research Award (IISE) Fellowship in the Institute of Industrial and Systems Engineers Fellowship in the Institute for Operations Research and Management Sciences Through decades of scholarly contribution and industry collaboration, Professor Chao has established himself as a leading authority in operations engineering and stochastic systems.

Kyriakidis EpaminondasView profile

Professor

• Applied Probability and Stochastic Operations Research
• Markov decision processes
• Population models in Epidemiology and Ecology
• +3 more

Epaminondas Kyriakidis serves as Professor in Applied Probability and Stochastic Operations Research at the Department of Statistics, School of Information Sciences and Technology, Athens University of Economics and Business (AUEB), Greece. He joined AUEB in 2009 as Associate Professor and advanced to full Professor in February 2015, following prior academic appointments at the University of Crete, University of the Aegean, and Technological Educational Institute of Crete spanning 1993-2009. His academic credentials include: B.Sc. in Mathematics (1985) from the University of Athens M.Sc. in Statistics (1986) from Imperial College, London Ph.D. (1990) from Birkbeck College, University of London Professor Kyriakidis' research centers on stochastic modeling with applications spanning epidemiology, ecology, and industrial systems. His expertise in Markov decision processes and queueing control addresses critical challenges in disease modeling, maintenance optimization, and supply chain logistics. This work has been disseminated through leading journals including the Journal of Applied Probability and European Journal of Operational Research, reflecting his contributions to both theoretical and applied operations research. He teaches core courses such as Probability, Operations Research, Statistical Inference, and specialized subjects including Epidemic Models and Network Optimization at both undergraduate and graduate levels. No scientific awards or research grants are documented in the provided materials. Similarly, there is no mention of doctoral or master's students under his supervision.

Michael A. ZazanisView profile

Professor

• Applied Probability
• Queueing Systems
• Stochastic Simulation
• +4 more

Michael A. Zazanis is a Professor in the Department of Statistics at the Athens University of Economics and Business (AUEB), where he has been a faculty member since 1997. He previously held positions as Assistant Professor at Northwestern University (1986-1993) and Associate Professor at the University of Massachusetts, Amherst (1993-1997). Dr. Zazanis received his Engineering Diploma from the National Technical University of Athens (1982), followed by an M.Sc. (1983) and Ph.D. (1986) in Applied Mathematics from Harvard University. His academic journey reflects a strong foundation in both engineering and theoretical mathematics. His research focuses on Applied Probability, Queueing Systems, Stochastic Simulation, and applications in Manufacturing and Risk Management. Over his career, his work has evolved from foundational perturbation analysis of queueing systems to contemporary research on age-of-information metrics in communication networks. His contributions span theoretical developments in stochastic processes and practical applications in production control systems and risk analysis. Dr. Zazanis has published extensively in leading journals including Journal of Applied Probability, Stochastic Processes and their Applications, Operations Research, Management Science, and Queueing Systems. His 1988 paper in Management Science on perturbation analysis for the M/G/1 queue is considered seminal in the field. Best Publication Award from the TIMS College on Simulation (1990) He has served in administrative roles including Graduate Program Director (2003-2006) and Head of the Statistics Department (2006-2008) at AUEB. Dr. Zazanis teaches undergraduate courses in Mathematical Methods, Stochastic Processes, and Probabilities, as well as graduate courses in Advanced Stochastic Processes and Operations Research. He is married to Corinna Anastassakou and has one son, Aristomenes.

Frank AurzadaView profile

Professor

• Probability Theory
• Stochastic Processes
• Persistence Probabilities
• +5 more

Prof. Dr. Frank Aurzada is a Professor of Stochastics at the Department of Mathematics, Darmstadt University of Technology (Technische Universität Darmstadt). He serves as Vice Dean and leads the Stochastics Research Group (Arbeitsgruppe Stochastik). His office is located at Schlossgartenstraße 7, 64289 Darmstadt, Germany, in room S2|15 341. Professor Aurzada's research focuses on probability theory and stochastic processes, with particular expertise in persistence probabilities, fractional Brownian motion, Lévy processes, and Brownian motion. His work often examines first passage problems, asymptotic analysis, and path properties of stochastic processes. He has made significant contributions to understanding the behavior of processes under various constraints and conditions, including conditioned Brownian motion and persistence exponents in diverse settings. His recent publications demonstrate a consistent focus on theoretical aspects of stochastic processes with applications spanning from communication networks to interacting particle systems. The research trends show increasing sophistication in handling complex constraints on stochastic processes and developing perturbation methods for analyzing persistence phenomena. Professor Aurzada has organized numerous academic events, including multiple Spring Schools on specialized topics in probability theory dating back to 2014. His most recent and upcoming events include the Spring School on "Extrema of logarithmically correlated random fields and applications" (March 2025) and the Spring School on "Multiplicative chaos and cascades" (February 2024). For teaching, Professor Aurzada offers courses such as "Statistik I für Cognitive Science und Wirtschaftsingenieurwesen" and "Stochastische Prozesse" for the Winter 2025/2026 semester. His research group actively collaborates with institutions worldwide, including universities in Russia, France, and the United States.

Bruno GaujalView profile

Research Professor

• Performance Evaluation
• Optimization
• Discrete Event Dynamic Systems
• +5 more

Bruno Gaujal is a Research Professor at Inria Grenoble-Rhône-Alpes, affiliated with Université Grenoble Alpes. He obtained his PhD from the University of Nice in 1994 under François Baccelli's supervision and has held positions at AT&T Bell Labs, INRIA, and École Normale Supérieure de Lyon. He previously led the MESCAL (now POLARIS) research group focused on large-scale computing until 2015. His research interests center on performance evaluation, optimization, and control of discrete event dynamic systems with stochastic inputs. Specific areas include: Markov Chains and Markov Decision Processes Reinforcement Learning and stochastic optimization Queueing theory and scheduling algorithms Energy-efficient computing in distributed systems Game-theoretic approaches in network optimization Gaujal's recent publications show strong emphasis on reinforcement learning applications in queueing networks, energy optimization for real-time systems, and scalable algorithms for Markov Decision Processes. His work bridges theoretical frameworks like Whittle indices with practical implementations in cloud computing and distributed systems. He has supervised numerous PhD students including Nicolas Gast (now Inria researcher), Anne Bouillard (Huawei researcher), and Emmanuel Hyon (Paris Nanterre professor). Current students include Hélène Arvis and Romain Cravic. Gaujal co-founded RTaW, a startup specializing in real-time network design tools. At Inria, he leads research in the POLARIS group, focusing on optimization methods for large-scale distributed computing infrastructures. His work involves collaborations with 85+ co-authors across institutions globally.

Claudio RoncoliView profile

Associate Professor

• Traffic Management
• Urban Mobility
• Connected and Automated Vehicles
• +7 more

Claudio Roncoli is an Associate Professor at the KU Leuven Faculty of Engineering Science , Department of Mechanical Engineering. His research focuses on traffic management and urban mobility, particularly in connected and automated vehicle systems, multimodal transport networks, and environmental impact analysis. Institution: KU Leuven Academic Rank: Associate Professor Department: Mechanical Engineering Recent publications highlight his work in: Trajectory reconstruction algorithms Network congestion control CO2 emission quantification Transit signal priority systems Geospatial emission modeling Cyclist route integration in demand models His projects emphasize intelligent transportation systems and equitable urban mobility solutions.

• Queuing Theory
• Applied Probability
• Optimal Queueing and Network Control
• +1 more

Antonis Dimakis serves as an Assistant Professor in the Department of Informatics at Athens University of Economics and Business (AUEB), School of Information Sciences and Technology, specializing in theoretical and applied network systems analysis. His academic credentials include: Bachelor's in Computer Science, University of Crete (1996) Master's in Computer Science, University of Crete (1999) PhD in Electrical Engineering and Computer Sciences, UC Berkeley (2006) Research focuses on Queuing Theory, Applied Probability, and Network Control algorithms, addressing stability conditions and congestion management in communication networks through fluid limit techniques and stochastic modeling. His work bridges theoretical frameworks with internet traffic optimization. Publication trends reveal sustained contributions to queueing network analysis since 2002, progressing from traffic modeling in multiplexers to current research on slowly varying environments, emphasizing approximation methods and second-order stability properties. No scientific awards are documented in the provided materials. Advising activities and research grants remain unspecified, though his PhD thesis 'Stability and Approximation of Queueing Networks' indicates foundational expertise. Laboratory affiliations or team structures are not referenced.

• Supply Chain Management
• Operations Management
• Production Planning
• +7 more

Fernando Bernstein is a Professor in the Operations Management department at Duke University's Fuqua School of Business . He holds the William and Sue Gross Distinguished Professor of Business Administration title and serves as Associate Dean for Global Initiatives . Ph.D. in Operations Management, 2001, Columbia University Graduate School of Business Licentiate in Mathematics, 1995, University of Buenos Aires His research focuses on supply chain management , retail operations , and game theory applications in production systems. Recent publications explore dynamic assortment personalization , show-up profile modeling , and government regulation impacts on distribution networks. He has served as associate editor for leading journals like Operations Research and Management Science . Excellence in Teaching Award for core MBA course 2008 M&SOM Meritorious Service Award

Alessandro Di GiorgioView profile

Associate Professor

• Smart grids and micro-grids control
• Model Predictive Control for energy systems
• Integration of renewable generation and storage
• +3 more

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.