جست‌وجوی استاد و پژوهشگر

Emanuele Martoranaمشاهده پروفایل

استاد

• Chemical Engineering
• Biopolymer Chemistry
• Paper Chemistry
• +۳ مورد دیگر

Prof. Emanuele Martorana is a faculty member at the Technical University of Munich (TUM), affiliated with Faculty 05. His roles include overseeing timetables for the Bachelor of Sustainable Materials and Product Design program, coordinating Master's thesis work in Paper Technology, and supervising internships. He serves as the International Representative for Sustainable Materials and Product Design. His research focuses on optimizing chemical additives in paper production, functionalizing surfaces, and advancing biopolymer chemistry, particularly involving starch and cellulose. He also specializes in paper testing and developing specialty papers. Publications can be accessed via his ORCID profile . Prof. Martorana’s responsibilities extend to curriculum planning and exam scheduling, ensuring academic rigor in sustainable materials education. His work bridges chemical processes and practical applications in paper and biomaterials technology.

Janice Winchمشاهده پروفایل

دانشیار

• Business Analytics
• Predictive Analytics
• Operations Management
• +۲ مورد دیگر

Dr. Janice Winch is Associate Professor and Director of Business Analytics Program in the Department of Management and Management Science at Pace University's Lubin School of Business. She teaches courses in business analytics, simulation, predictive analytics, optimization models, operations management, and supply chain management. Her research integrates predictive analytics and optimization techniques to improve organizational decision-making. She has published in Manufacturing and Service Operations Management, International Journal of Production Research, and INFORMS Transactions on Education. She co-teaches the Analytics Boot Camp and advises student teams in analytics competitions. Awards: Kenan Award for Teaching Excellence Lubin Teaching Award David M. Levine Best Paper Award AFM Outstanding Professor Award

Maurizio Bocciaمشاهده پروفایل

دانشیار

• Operations Research
• Optimization
• Logistics
• +۵ مورد دیگر

Maurizio Boccia is an Associate Professor at the University of Naples Federico II, affiliated with the Department of Electrical Engineering and Information Technologies. His research focuses on optimization methodologies and their applications in logistics, transportation systems, and healthcare management. He holds a Ph.D. in Operations Research and has contributed extensively to the development of exact and heuristic algorithms for complex scheduling and routing problems. Key research interests include combinatorial optimization, vehicle routing problems (e.g., TSP variants with drones), automated guided vehicle (AGV) scheduling, and optimization in healthcare settings. He has also explored educational strategies, such as the OPS4Math project, which integrates optimization techniques into mathematics education. His work frequently involves mixed-integer linear programming (MILP), branch-and-cut algorithms, and matheuristics. Notable applications include railway dispatching for the Union Pacific Railroad, operating room planning in hospitals, and logistics network design. He has collaborated on real-world projects, such as improving exam scheduling in Norway and optimizing postal collection routes in rural areas. Boccia’s publications span over two decades, with contributions to both theoretical advancements (e.g., lifted cover inequalities, Fenchel cuts) and practical implementations (e.g., web cache location models, traffic sensor placement). His research often bridges theoretical optimization frameworks with real-world operational challenges.

Debby Cottonمشاهده پروفایل

استاد مهمان

• Pedagogic Research
• Sustainability Education
• Academic Integrity
• +۳ مورد دیگر

Debby Cotton is a Visiting Professor at the Peninsula Dental School (Faculty of Health), University of Plymouth. She serves in the University’s Senior Leadership Team, overseeing educational development strategies, pedagogic research, and institutional policies. Her roles include managing the Teaching and Learning Support team, coordinating TEF preparations, and leading initiatives like the Pedagogic Research Institute and Observatory (PedRIO). She holds National Teaching Fellow (2015) and multiple University Teaching Fellow awards. Her research focuses on pedagogic innovation, sustainability education, and academic integrity. Key interests include action research methodologies, the teaching-research nexus, and embedding interdisciplinary learning. She actively contributes to sustainability initiatives through campus greening projects and energy literacy programs. Dr. Cotton supervises PhD students across faculties and serves as an external examiner for numerous universities globally. Her work bridges policy and practice, emphasizing research-informed teaching and the hidden curriculum's role in sustainability education. Ongoing projects include exploring AI’s impact on assessments and decarbonization strategies in higher education.

Jacques Desrosiersمشاهده پروفایل

استاد

• Operations Research
• Transportation
• Optimization
• +۳ مورد دیگر

Jacques Desrosiers is a Full Professor at HEC Montréal in the Department of Management Science since 1989. He has been with the institution since 1978 and is a founding member of the Group for Research in Decision Analysis (GERAD). His research focuses on optimization, transportation systems, and algorithmic methods for solving complex linear and combinatorial problems. He has received prestigious recognitions, including the Grand Prize for Excellence in Research (2015) and Fellowship in the Royal Society of Canada (2001). His work spans contributions to column generation techniques, degenerate linear programming, and vehicle routing problems. Notable achievements include advancing the minimum mean cycle-canceling algorithm, vector space decomposition for large-scale problems, and developing efficient heuristics for logistics challenges. His research bridges theoretical advancements and practical applications, influencing transportation and operations management globally. Desrosiers has authored over 150 peer-reviewed articles, with recent focus on algorithmic optimization, primal degeneracy handling, and decomposition methods. His contributions to software tools like COIN-OR’s CLP further highlight his commitment to advancing computational methods in operations research. Awards: Royal Society of Canada Fellowship (2001), HEC Montréal Grand Prize (2015) Key Research Themes: Column Generation, Network Flow Algorithms, Linear Programming, Vehicle Routing, Degeneracy Resolution Labs/Teams: Co-founder and active member of GERAD, collaborating on optimization projects

• Operations Research
• Transportation Engineering
• Epidemiology
• +۳ مورد دیگر

Evelien van der Hurk is an Associate Professor at the Department of Technology, Management and Economics within DTU Management at the Technical University of Denmark. Her research focuses on optimization, simulation, and decision-making in transportation systems and public health. She specializes in public transport planning, epidemic modeling, and resilient infrastructure design. Her work integrates operations research techniques with real-world applications, addressing challenges such as rolling stock rescheduling, disease spread mitigation, and autonomous transit systems. She has contributed to advancing methodologies like matheuristics for timetabling and simulation-optimization frameworks for immunization strategies. Key research themes include transportation network design, passenger behavior analysis, and robust scheduling under uncertainty. Her articles often bridge theoretical models with practical implementation, emphasizing societal impact in urban mobility and public health policy. No scientific awards or student advisement details are explicitly mentioned in the provided materials. Her research has been published in leading journals and conferences, reflecting her expertise in interdisciplinary systems optimization.

Xiajie YIمشاهده پروفایل

استادیار

• Operations Management
• Sports Scheduling
• Operations Research
• +۴ مورد دیگر

Professor Xiajie YI is an Assistant Professor in the Department of Operations Management at IÉSEG School of Management. He holds a Ph.D. in Operations Management from the University of Gent, Belgium (2020). His research focuses on optimization techniques applied to sports scheduling, healthcare logistics, and stochastic programming. Key areas of interest include managing uncertainty in sports timetabling, suspense maximization in tournaments, and proactive/reactive scheduling strategies. His academic contributions span innovative approaches to round-robin tournament design, operating room scheduling, and green logistics. Notable methodologies include stochastic programming for sports league catch-up rounds and fuzzy simulation algorithms for event credibility assessment. While no specific awards or grants are mentioned in the text, his work emphasizes practical applications of operations research in sports and healthcare sectors. Professor YI collaborates actively with institutions and partners, though specific details about advising students, lab affiliations, or future projects are not provided. His research demonstrates a commitment to balancing fairness, efficiency, and adaptability in complex scheduling challenges.

Peter Stuckeyمشاهده پروفایل

استاد

• Constraint Programming
• Discrete Optimization
• Programming Languages
• +۳ مورد دیگر

Peter Stuckey is a Professor in the Faculty of Information Technology at Monash University and project leader at Data61 CSIRO laboratory. His pioneering research focuses on constraint programming and discrete optimization. He holds B.Sc and Ph.D degrees in Computer Science from Monash University. Research interests include discrete optimization, programming languages, constraint solving algorithms, bioinformatics, and constraint-based graphics. His work extends to applications in databases, timetabling, and system security, with industry collaborations including Oracle and Rio Tinto. Recent publications focus on optimization techniques for transport routing, explainable AI, multi-agent systems, and signal processing. Awards include the Google Australia Eureka Prize and Woodward Medal.

• Artificial Intelligence
• Evolutionary Computation
• Operations Research
• +۷ مورد دیگر

Dr. Nasser Sabar is a Senior Lecturer in the Department of Computer Science & Information Technology at La Trobe University. His research focuses on developing adaptive algorithms using hyper-heuristics and evolutionary computation to address real-world optimization challenges, with applications in healthcare scheduling, transportation systems, and cloud computing. He has collaborated on projects involving anaesthetist rostering, patient admission scheduling, and freeway traffic optimization. Research Expertise: Artificial Intelligence Evolutionary Computation Operations Research Optimization Techniques Health Informatics Transportation Systems Key Contributions: Dr. Sabar’s work includes pioneering studies on dynamic scheduling algorithms for healthcare operations, cooperative lane-changing advisory systems for freeways, and hybrid methodologies for complex combinatorial problems. His research often bridges theoretical optimization frameworks with practical applications in industries such as logistics, transportation, and healthcare. Grants & Collaborations: Collaborative Research Project with ITMAN Pty Ltd (2022): Sensory Data Analysis Research Trends: His recent articles emphasize optimizing healthcare operations (e.g., patient admission scheduling, anaesthetist rostering) and transportation systems (e.g., freeway lane-drop bottlenecks, variable speed limits). He also explores machine learning advancements like evolutionary GANs and recurrent neural computing for stochastic networks.

• Educational Technology
• Artificial Intelligence in Education
• Computer Science Education
• +۴ مورد دیگر

Jesús Sánchez Allende is a Professor in the Department of Quantitative Methods at CUNEF Universidad, where he has been affiliated since September 2021. He holds a PhD from Universidad Politécnica de Madrid. Previously, he served as a Full Professor at Universidad Alfonso X el Sabio, where he held leadership positions including Head of Studies for engineering and computer science programs and Director of Master's programs. His research focuses on: Educational technology integration in higher education Artificial intelligence applications in teaching and learning Innovative pedagogical approaches (blended learning, gamification) Curriculum development for technical disciplines Computer science education methodologies An analysis of his publication portfolio reveals strong emphasis on educational innovation, particularly: Integration of AI tools like ChatGPT in academic settings Development of digital assessment and personalized learning systems Effectiveness of blended learning models in STEM education Application of computational methods to solve educational challenges Gamification strategies for technical subjects His professional accomplishments include: Supervision of six doctoral theses and over 100 master's/final projects Participation in national and European research initiatives Co-authorship of five books on programming and networks Patent co-development with industrial partner SACYR

Nysret Musliuمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Optimization
• +۶ مورد دیگر

Nysret Musliu is an Associate Professor and Head of the Christian Doppler Laboratory for Artificial Intelligence and Optimization for Planning and Scheduling at TU Wien (Vienna University of Technology). He holds a PhD in Computer Science from TU Wien (2001) and a Habilitation (2007). His research focuses on AI techniques, optimization, scheduling, and timetabling, with applications in workforce scheduling, combinatorial optimization, and constraint satisfaction. Education: PhD in Computer Science, TU Wien, 2001 Habilitation in Applied Computer Sciences, TU Wien, 2007 MSc (Dipl.-Ing) in Computer Science, University of Prishtina, 1996 Research Interests: His work addresses AI-driven solutions for scheduling problems, including staff scheduling, timetabling (e.g., high school timetabling), and combinatorial optimization. He has developed algorithms for tree/hypertree decompositions and hybrid methods combining constraint programming with metaheuristics. Grants & Leadership: Project leader of the Christian Doppler Laboratory (2017–2024) Funded projects: ARTE (employee scheduling), Softnet Austria, Hypertree Decompositions Professional Activities: Conference chairs for CPAIOR 2021/2020 and PATAT 2018 Editorial roles in Constraints Journal and Journal of Mathematical Modelling and Algorithms Program committee member for IJCAI, AAAI, and GECCO Teaching: He teaches courses on artificial intelligence, problem-solving techniques, and machine learning at TU Wien. Lab & Teams: Leads the Christian Doppler Laboratory and collaborates with industry partners like Bosch and Ximes Corp.

Marco Chiarandiniمشاهده پروفایل

دانشیار

• Operations Research
• Optimization Algorithms
• Integer Programming
• +۱۰ مورد دیگر

Marco Chiarandini is an Associate Professor in the Department of Mathematics and Computer Science at the University of Southern Denmark (SDU), with a secondary affiliation to the SDU Climate Cluster. His research focuses on Operations Research, Optimization Algorithms, and their applications in domains such as transportation, healthcare, and education. He has led or contributed to projects addressing dynamic traffic estimation, dementia care app design, and sustainable software development. Chiarandini has supervised students including P. Tampakis and C. McCarthy, and his work has been featured in interdisciplinary collaborations with institutions globally. His recent articles explore topics like goal-scoring prediction in football and urban traffic modeling, reflecting his expertise in data science and algorithmic design. His academic contributions span over 50 publications, emphasizing methodological advancements in optimization and heuristic algorithms. He actively participates in conferences and peer review, and has coordinated EU-funded projects like Data Science for University Management (2019–2023). Chiarandini’s teaching includes courses on linear programming and metaheuristics, integrating practical applications with theoretical foundations.

• Transportation Engineering
• Urban Rail Systems
• Timetable Optimization
• +۳ مورد دیگر

Res.Asst.Dr. Taha Yüksel is affiliated with the Civil Engineering Department at Istanbul Technical University. His work focuses on optimizing transportation systems, particularly in urban rail networks and energy-efficient solutions. Key research areas include timetable synchronization, passenger flow analysis, and applications of optimization algorithms like particle swarm optimization. Research interests span smart transportation systems, energy efficiency in railways, and advanced train control technologies. His contributions address challenges in transfer passenger management, regenerative braking utilization, and CBTC systems for safer, more efficient rail operations. No formal education details are provided in the profile. His publications (2017-2024) emphasize data-driven solutions for rail systems, with a focus on synchronization, energy optimization, and algorithmic approaches to operational efficiency.

Banafsheh Khosraviمشاهده پروفایل

مدرس ارشد

• Operational Research
• Logistics
• Mathematical Modelling
• +۶ مورد دیگر

Dr Banafsheh Khosravi is a Senior Lecturer in Operational Research at the University of Portsmouth, affiliated with the School of Mathematics and Physics. She is a member of the Logistics, Operational Research and Analytics Research Group (LORA) and the Centre for Operational Research and Logistics (CORL). Her research focuses on mathematical modelling, combinatorial optimization, and applications in transportation and healthcare. She holds a PhD in Management Science from the University of Southampton, with earlier degrees in Industrial Engineering. Before joining Portsmouth, she worked at the University of Southampton's CORMSIS Centre and the University of Westminster's Health and Social Care Modelling Group. Dr Khosravi teaches Operational Research, Modern Computational Methods, and Supply Chain Management courses. She has supervised numerous academic projects and led industry-funded research with EPSRC, ESA, NHS, RSSB, and Arriva. Her work addresses challenges like railway scheduling, routing optimization, and healthcare capacity planning. She is a Fellow of the Higher Education Academy and contributes to professional organizations including The OR Society and IAROR. Her research trends span transportation logistics (railway rescheduling, electric vehicle routing) and healthcare systems (NHS patient activity forecasting). Recent work emphasizes risk-based surveillance and digital performance analysis in undersea infrastructure and insurance sectors. Collaborations with industry partners ensure practical impact across sectors like rail networks and space operations. Awards: Fellow of the Higher Education Academy (FHEA) Labs/Teams: LORA Group, CORL Centre, Intelligent Transport Research Cluster Grants: Funded by EPSRC, ESA, NHS, RSSB, Arriva

• Operations Research
• Combinatorial Optimization
• Operational Research
• +۳ مورد دیگر

Edmund Burke is a Professor and Vice Chancellor at Bangor University. His research focuses on operations research, combinatorial optimization, and algorithm development, with notable contributions to scheduling, hyper-heuristics, and airport ground movement optimization. He has published extensively on topics such as constraint propagation, routing algorithms, and multi-objective optimization. Research interests include algorithmic approaches for real-world problems, such as airport slot allocation, maintenance crew scheduling, and timetabling. His work often integrates heuristics and metaheuristics to tackle complex optimization challenges. Recent publications explore cutting-edge techniques like memetic algorithms for ground movement and hyper-heuristics for nurse rostering. Burke has contributed to interdisciplinary projects, including collaborations with Danish railways and airport logistics systems. He actively participates in university administration, organizing alumni events and engaging in outreach activities such as exhibitions and community days. His academic leadership roles underscore his commitment to both research excellence and institutional governance.