جست‌وجوی استاد و پژوهشگر

Ivana Kuzmanović Ivičićمشاهده پروفایل

استادیار

• Applied Mathematics
• Numerical Linear Algebra
• Matrix Equations
• +۲ مورد دیگر

Ivana Kuzmanović Ivičić is an Assistant Professor at the School of Applied Mathematics and Informatics, Josip Juraj Strossmayer University of Osijek. Her academic roles include teaching undergraduate courses in computational thinking, linear optimization, and mathematics education methodology. She currently serves as President (2025–present) and previously as Vice President (2021-2025) of the Udruga matematičara Osijek (Association of Mathematicians Osijek). Education: PhD in Mathematics, University of Zagreb (2012) BSc in Mathematics and Computer Science, University of Osijek (2005) Her research focuses on applied mathematics with specialization in numerical linear algebra, matrix equations, and perturbation theory. She develops computational methods for mechanical systems stability analysis, damping optimization, and eigenvalue problems. Her work bridges theoretical mathematics with engineering applications in vibration control and system dynamics. Publications demonstrate consistent focus on matrix perturbation theory, gyroscopic systems analysis, and computational optimization methods. Recent work explores stability bounds in mechanical systems while earlier publications address mathematical education and linear algebra applications. Research consistently appears in numerical analysis and computational mathematics journals. Research Projects: Vibration Reduction in Mechanical Systems (Croatian Science Foundation, 2020-2023) Optimization of Parameter Dependent Mechanical Systems (Croatian Science Foundation, 2015-2019) Nonlinear Parameter Estimation in Mathematical Models (Ministry of Science, 2007-2013) She has supervised 18 undergraduate theses covering topics in numerical methods, matrix theory, mathematical education, and computational tools. Regularly participates in international conferences on numerical analysis and maintains collaborations with European research institutions.

• Quality Management
• Supply Chain Management
• Business Economics
• +۵ مورد دیگر

Dr. Sandra Milunović Koprivica is an Associate Professor at the Department of Social and Human Sciences, Faculty of Technical Sciences in Čačak, University of Kragujevac, Serbia. With over two decades of academic experience, she specializes in quality management, supply chain systems, and business economics. She teaches across undergraduate, master's, and doctoral programs, delivering courses in Quality Management, Engineering Economic Analysis, Supply Chain Management, and Integrated Quality Management. Her educational journey includes: B.Sc. in Industrial Management (2002, Technical Faculty in Čačak) M.Sc. in Quality Management (2005, Technical Faculty in Čačak) Ph.D. in Quality Management (2013, Faculty of Organizational Sciences, University of Belgrade) Dr. Milunović Koprivica's research primarily focuses on quality management systems and their application in manufacturing industries, with particular emphasis on uncertainty modeling. She has made significant contributions to biomass utilization for energy production, exploring the techno-economic aspects of converting agricultural waste into sustainable energy sources. Her work bridges theoretical frameworks with practical industrial applications, especially in conditions of uncertainty. Analysis of her recent publications reveals an evolving research trajectory that maintains core expertise in quality management while increasingly incorporating computational methods. Her work demonstrates a strong interdisciplinary approach connecting engineering principles with business management and environmental sustainability. Recent publications span from FMEA methods in process quality management to applications of optimization algorithms and natural language processing. Her scholarly impact is evident through her extensive publication record: Over 90 published works including conference papers and journal articles 8 publications in journals indexed in the Science Citation Index Co-author of 2 monographs Active participation in numerous international conferences Dr. Milunović Koprivica has served as a researcher on five projects funded by the Ministry of Science and Environmental Protection of Serbia, covering areas from risk management systems to biomass utilization. She has also participated in quality management system implementation projects as a consultant, holding certificates as a quality management system assessor from Nigel Bauer and AFNOR. While specific laboratory affiliations aren't detailed, her research collaborations with colleagues like Š. Ćurčić, O. Ristić, and A. Marić indicate active participation in interdisciplinary research teams within the Faculty of Technical Sciences.

Christoph Eglhuberمشاهده پروفایل

مدرس ارشد

• Music Education
• Music Didactics
• Guitar Performance
• +۴ مورد دیگر

Christoph Eglhuber is an Academic Director ( Senior Lecturer ) at the Chair of Music Education and Music Didactics at the University of Regensburg. He specializes in music education for primary, middle, and secondary schools, focusing on didactics, timetable planning, and brass music training. Education: Munich University of Music (school music, guitar), LMU Munich (musicology, music education) Career: Full-time teacher for special tasks in music education since 2001 (University of Regensburg), lecturer at Munich University of Music (1991-2006) Artistic Activities: Conductor, guitarist, and lutenist with participation in CD, radio, and TV productions Publications: Teaching materials, arrangements, and first editions for publishers like Bosse, Helbling, and Klett His research emphasizes practical music pedagogy, instrumental instruction, and multimedia music production. He also provides academic advisory services and maintains active artistic engagements alongside his academic responsibilities.

• Data Science
• Optimization Under Uncertainty
• Energy Efficiency
• +۳ مورد دیگر

M.Sc. Jorge Weston is a researcher in the Department of Data Science at Friedrich-Alexander University Erlangen-Nürnberg (FAU). He is affiliated with the Professorship of Optimization Under Uncertainty & Data Analysis, led by Prof. Dr. Liers. Research Interests : Jorge focuses on data science, optimization under uncertainty, sustainability, and energy efficiency. His work spans railway traffic optimization, carbon tax effectiveness, power systems, and strategic capacity planning under uncertain conditions. Publications : His research trends emphasize energy-efficient systems, sustainable policy modeling, and operations research. Recent studies include railway timetables for energy efficiency, power flow in cyber-physical environments, and strategic capacity expansion under demand uncertainty. Contact : His email is jorge.weston@fau.de .

• Percussion
• Chamber Music
• Contemporary Classical Music
• +۲ مورد دیگر

Matt Ward serves as an Adjunct Lecturer in Percussion at the Conservatory of Music within the School of Visual, Media and Performing Arts at Brooklyn College. A dedicated percussionist cited by The New York Times as "a fine soloist," he specializes in performing and commissioning new music with a particular focus on chamber repertoire. Ward maintains active performance roles as principal player with Argento Chamber Players, Talujon, and American Modern Ensemble, and co-founded the percussion trio Timetable. His educational background includes a Bachelor of Music from the Manhattan School of Music and Master of Music and Doctor of Musical Arts degrees from SUNY Stony Brook. Ward also holds a faculty position at the Aaron Copland School of Music at Queens College. Ward's artistic practice centers on contemporary percussion performance, with significant contributions to premiering works by leading modern composers including Bernhard Lang, Georg Friedrich Haas, and Philippe Hurel. His performance history includes notable engagements at the Music Academy of the West, Tanglewood Music Center under Seiji Ozawa and George Benjamin, and the American premiere of Pierre Boulez's Sur Incises . Recognized with the Ridley-Tree Fellowship at the Music Academy of the West (1998), Ward's career demonstrates sustained excellence in new music interpretation. Through institutional partnerships with 92nd Street Y, Westchester Philharmonic, Marquis Studios, and Carnegie Hall, Ward conducts extensive educational outreach programs for elementary school children across New York City. His performance activities extend to collaborations with Albany Symphony, Talea Ensemble, SEM Ensemble, The Orchestra of the League of Composers, Sequitor, and Riverside Symphony. Ward's recorded legacy appears across multiple labels including Aeon, Argo, Cantaloupe Music, Capstone Records, Newport Classics, Soundspell, and Albany Records, documenting his commitment to contemporary repertoire.

• Operations Research
• Mathematical Programming
• Transportation Planning
• +۷ مورد دیگر

Eva Barrena Algara is a Professor at the Department of Economics, Quantitative Methods, and Economic History at the University Pablo de Olavide. Her work bridges operations research, transportation planning, and mathematical optimization, with a focus on urban rail systems and network design. Her research interests include: Railway timetabling and scheduling under dynamic passenger demand Mixed-integer programming for transportation network optimization Multiplex network analysis in collective transportation systems Heuristic and metaheuristic algorithms for coordinated vehicle routing Waste logistics and humanitarian relief routing applications Her publications since 2013 demonstrate expertise in train unit scheduling, demand-adapted timetables, and network transferability analysis, often using Gröbner bases and adaptive algorithms. She collaborates with researchers like Gilbert Laporte and David Canca, with papers appearing in journals such as Computers & Operations Research and European Journal of Operational Research . Key application areas include metro systems, disaster response logistics, and waste collection optimization. She serves on the editorial board or as reviewer for transportation and operations research journals, and her work has been cited over 45 times. Her methodological contributions span exact formulations, biased-randomized heuristics, and stochastic modeling for time-dependent problems.

Nicole Gardnerمشاهده پروفایل

استاد

• Computational Design
• Digital Transformation in Architecture
• Urban Technology
• +۵ مورد دیگر

Dr. Nicole Gardner is a Professor and Program Director of Computational Design at the School of Built Environment, Faculty of Arts, Design and Architecture (ADA), UNSW. A Registered Architect in NSW (#7921), she holds a PhD in Architecture from the University of Technology Sydney (2018) and a First Class Honours Bachelor of Architecture from the University of Adelaide (2000). Her research bridges digital transformation, urban technology ethics, and computational design practices. PhD, School of Architecture, University of Technology Sydney (2018) Bachelor of Architecture (1st Class Honours), University of Adelaide (2000) Bachelor of Design Studies, University of Adelaide (1998) Her research interrogates digital transformation in the AEC industry through organizational learning theory, computational pragmatism, and ethical frameworks for smart cities. She explores human-machine configurations, augmented reality applications, and sustainable fabrication techniques like hybrid clay 3D printing for bio-reef structures. The 15 most recent articles reveal trends in computational design ethics, smart city scaling, digital compliance workflows, waste reduction strategies, and human-scale urban technology. Keywords span urban technology , machine learning , design automation , and gender dynamics in tech , with subfields like parametric acoustic modeling , semantic BIM consistency , and privacy-preserving occupancy analysis . 2021-2022: UNSW Faculty Research Fellowship 2022: Chief Investigator for $9M ARC Industrial Transformation Training Centre 2024, 2021, 2019: DFAT Australia-Japan Foundation Grants Nicole supervises practice-based MPhil/PhD candidates focused on smart cities and digital transformation in AEC. She co-edited CAADRIA conference proceedings and chaired the 2024 CAADRIA conference 'Accelerated Design'.

Marcel Mongeauمشاهده پروفایل

استاد

• Operations Research
• Global Optimization
• Numerical Optimization
• +۵ مورد دیگر

Marcel Mongeau is a Professor in Operations Research at the École Nationale de l'Aviation Civile (ENAC) in Toulouse, France, affiliated with the OPTIM team under the MORO axis . His research focuses on operational research, global optimization, numerical optimization, and mixed-integer programming, with applications in aeronautics, chemical engineering, life sciences, and other industries. Education PhD in Combinatorics & Optimization (1991), University of Waterloo, Canada MSc in Mathematics (1987), University of Montreal, Canada BSc in Mathematics (1985), University of Montreal, Canada Habilitation to Direct Research (2003), Paul Sabatier University, France Research Interests : Mongeau's work addresses complex optimization problems through mathematical modeling and algorithm development. Key areas include aircraft trajectory planning, contrail avoidance, stochastic programming, and multi-modal transportation optimization. His methodologies integrate exact optimization, heuristic approaches, and computational modeling. Publications Trends : Recent publications emphasize air traffic flow management , contrail-safe trajectories , stochastic aircraft scheduling , and multi-modal transportation synchronization . Applications span environmental impact minimization, machining efficiency, and climate-aware aviation planning. Scientific Recognition : He is a Member of the Academy of Technologies , reflecting his contributions to applied mathematical sciences. Advising & Grants : Mongeau has supervised PhD students and postdoctoral fellows, particularly in optimization and operational research. His research has been supported through collaborations with institutions like IBM, INRIA, and CNRS. Labs & Teams : He is associated with the OPTIM team at ENAC and previously worked with the MOGISA group at LAAS-CNRS and the Optimisation & Interactions group at Paul Sabatier University.

• Ecology
• Environmental Science
• Plant Biology
• +۳ مورد دیگر

Dr. Susanne Walford is a Lecturer in the Department of Biology at Lakehead University. She has been employed since September 1997, initially working in Dr. Peter Lee's Environmental Lab (LUEL) until 2007 and transitioning to teaching roles as a Contract Lecturer. Academic Qualifications: B.Sc. in Chemistry from Lakehead University (1994) Ph.D. in Biotechnology from Lakehead University (2011) Her teaching focuses on foundational and specialized biology courses, including Plant Biology, Wetland Ecology, and Limnology. She has been involved in laboratory instruction and curriculum development within the Department of Biology. Her research interests align with environmental and ecological studies, particularly through her work at the Lakehead University Environmental Lab (LUEL) and its role within the Lakehead University Centre for Analytical Services (LUCAS). Dr. Walford contributes to departmental activities such as timetable scheduling, lab room booking, and curriculum committee work. She is also engaged in outreach initiatives and recruitment efforts at Lakehead University.

• Biomedical Image Processing
• Image Processing
• Medical Imaging
• +۱ مورد دیگر

Zhu Chen is a Researcher at RWTH Aachen University within the Faculty of Electrical Engineering and Information Technology, holding dual affiliations with the Chair of Imaging and Image Processing (led by Prof. Volkmar Schulz) and the Junior Professorship for Biomedical Image Processing (under Prof. Johannes Stegmaier). She operates from offices in ICT Cube 1 (Room 111) and ICT Cube 2 (Room 138), contributing to advanced research in medical and biological image analysis while holding an M.Sc. degree. Research Interests Chen's primary focus spans biomedical image processing, medical imaging, and computer vision with specialized applications in animal behavior tracking and embryonic development analysis. Her methodology integrates unsupervised learning for 3D temporal alignment of biological structures and foundation models for annotation streamlining, targeting efficiency improvements in developmental biology research through computational innovation. Publication Trends Analysis reveals a strategic pivot from energy management systems for hybrid transportation (2021-2022 publications on fuel cell trains/buses) to biomedical imaging (2023-2025). Current work emphasizes AI-driven solutions for biological image analysis, particularly in zebrafish embryo studies and automated animal tracking, demonstrating applied machine learning expertise across divergent scientific domains. Scientific Awards No documented scientific awards, fellowships, or honors were identified in available institutional records. Advising and Grants Public sources contain no verifiable information regarding student supervision, grant acquisitions, or funded research projects under Chen's direct leadership. Laboratory and Team Affiliations Chen actively collaborates within the Chair of Imaging and Image Processing's scientific team alongside researchers including Ankit Amrutkar and Henning Konermann. She utilizes specialized facilities such as optical systems research areas and MRI laboratories, contributing to the institute's mission in medical image processing and computational biology.

• Algorithm design and analysis
• Combinatorial optimization
• Exact algorithms
• +۶ مورد دیگر

Fabio Guido Mario Salassa serves as an Associate Professor in the Department of Management and Production Engineering (DIGEP) at the Polytechnic University of Turin. He is a member of the Interdepartmental Center Ec-L - Energy Center Lab and actively participates in the College of Management and Production Engineering as well as the College of Computer, Film, and Mechatronics Engineering as an invited member. His research focuses on algorithm design, combinatorial optimization, exact algorithms, metaheuristics, and scheduling problems. His work bridges theoretical computer science with industrial applications, particularly in operations research and mathematical optimization. He specializes in developing optimization models for real-world industrial challenges including production scheduling, transportation logistics, and resource allocation. His recent publications demonstrate a strong focus on scheduling theory with applications to manufacturing systems, parallel machine environments, and workforce management. The research shows consistent contributions to solving complex optimization problems through innovative algorithmic approaches and mathematical formulations. Professor Salassa has supervised PhD student Elena Rener, whose thesis focused on Single Machine Rescheduling for New Orders. He has secured multiple commercial research contracts with companies including Protea S.r.l. and Sandeza S.r.l., focusing on optimization algorithms for waste calculation, production scheduling, and transportation problems. He teaches Operations Research and Optimization for Problem Solving courses across multiple academic programs including Management Engineering and Computer Science Engineering. His teaching spans from Bachelor to PhD levels, with recent courses scheduled through the 2025/2026 academic year.

• Psychopharmacology
• Perinatal Psychiatry
• Child Neurodevelopment
• +۴ مورد دیگر

Lisanne Schrijver is an active Researcher in the Department of Psychiatry at Erasmus University Medical Center's Faculty of Medicine. Her work focuses on the intersection of psychopharmacology and perinatal mental health, with particular expertise in how psychiatric medications affect pregnancy outcomes and child development. Dr. Schrijver's research interests center on psychopharmacology during pregnancy, specifically examining the effects of lithium and antipsychotics on fetal development and long-term neurocognitive outcomes. Her work bridges clinical psychiatry with developmental neuroscience, addressing critical questions about medication safety during pregnancy for women with bipolar disorder and other serious mental illnesses. She employs rigorous methodologies including cohort studies, systematic reviews, and meta-analyses to generate evidence that informs clinical practice guidelines. Her publication record reveals a clear trajectory of increasingly sophisticated research on perinatal psychopharmacology, with recent work focusing on dose-response relationships and long-term developmental outcomes. The 2024 publication on lithium serum levels during pregnancy represents the cutting edge of her current research program, building upon her foundational 2018 systematic review that has been highly influential (50+ citations). Dr. Schrijver collaborates extensively with leading researchers in the field including Bergink, Kamperman, Hoogendijk, and Poels, forming a prominent research group at Erasmus MC focused on reproductive psychiatry. Her work has garnered significant attention, with multiple publications receiving news mentions and substantial readership on academic platforms.

• Artificial Intelligence
• Explainable AI
• Human-Computer Interaction
• +۵ مورد دیگر

Yunfeng Zhang is a Professor at Shandong University of Finance and Economics specializing in Artificial Intelligence with significant contributions to Explainable AI, Human-Computer Interaction, and Machine Learning. His research spans computer vision, fairness in AI, and robotics applications across diverse domains including transportation, agriculture, and cybersecurity. Zhang has established strong international collaborations with IBM Research (notably with Kush Varshney and Q. Vera Liao) and publishes extensively in top venues like CHI, KDD, and IEEE Transactions. His research interests focus on making AI systems transparent and trustworthy through the AI Explainability 360 toolkit development since 2020, human-AI collaboration frameworks, and fairness optimization in machine learning. Recent work shows a strategic pivot toward applied AI problems including urban rail transit optimization, agricultural robotics for citrus detection, and VR-enhanced education systems in China. Zhang's publications demonstrate exceptional breadth across both theoretical foundations and real-world implementations of AI technologies. Zhang's recent publications (2023-2025) reveal strong trends in multimodal AI applications, with significant work in computer vision for remote sensing and industrial automation, reinforcement learning for transportation systems, and educational technology innovations. His work consistently bridges technical AI development with human-centered design principles, particularly evident in his CHI publications on human-AI collaboration interfaces. Co-developer of the influential AI Explainability 360 open-source toolkit (JMLR 2020) Key contributor to Uncertainty Quantification 360 framework Active participant in ACM FAccT conferences on AI fairness Principal investigator on multiple Chinese national research grants for AI applications Zhang leads research teams developing practical AI solutions for Chinese industry challenges, particularly in transportation optimization and agricultural technology. His lab maintains strong industry partnerships with Chinese railway authorities and agricultural technology firms, focusing on implementing AI systems that address specific local infrastructure and productivity challenges while maintaining rigorous academic standards.

• Graph Theory
• Combinatorial Optimization
• Logistics
• +۴ مورد دیگر

David Schindl is a Lecturer in the Department of Informatics at the University of Fribourg's Faculty of Management, Economics and Social Sciences, with his primary appointment at Haute Ecole de Gestion (HEG) Geneva since 2008. His research bridges graph theory and combinatorial optimization with practical applications in logistics, vehicle routing, and academic timetabling systems. Education: PhD in Mathematics, EPFL, 2004 Research Interests: Dr. Schindl specializes in theoretical graph structures—including k-community detection, clique-width parameterization, and EPG graphs—with direct applications to transportation logistics, waste management, and educational scheduling. His work on course/exam timetabling at HEG since 2012 demonstrates his commitment to solving real-world operational challenges through mathematical optimization. Research Trends: Analysis of his 2020-2025 publications reveals sustained focus on community structures in graph classes and width-parameterized algorithms, alongside growing emphasis on sustainable logistics. His waste collection project exemplifies the environmental application of combinatorial optimization to reduce municipal fuel consumption and emissions. Grants and Projects: Efficient and sustainable waste collection (2019-2022): Funded by Innovation, this project developed optimization algorithms for waste collection routing in Swiss municipalities using electric vehicles and intermediate depots to minimize environmental impact. Teaching: At the University of Fribourg, he teaches decision support and graph theory courses. At HEG Geneva, he delivers instruction in statistics and mathematics for economics students, emphasizing practical applications of quantitative methods.

• Operations Research
• Multi-Objective Optimization
• Transportation Networks
• +۳ مورد دیگر

Matthias Ehrgott is a Professor in the Department of Management Science at the Lancaster University Management School (LUMS). His research focuses on multi-objective optimization, operations research, transportation systems, and healthcare logistics. He leads the OptiWaSP project (2022–2025), which designs efficient walking school bus routes integrating optimization and instance generation. He is affiliated with the Centre for Transport & Logistics (CENTRAL), STOR-i Centre for Doctoral Training, and Health Systems Optimisation groups. His editorial roles include serving on the editorial boards of EURO Journal on Decision Processes , Optimization , 4OR , and others. Recent work emphasizes applications in railway timetabling, radiation therapy planning, and sustainable urban mobility. He advises PhD students like Malek Almousa, an Associate Lecturer. Key research themes include bi-objective optimization, algorithm design for multi-criteria problems, and real-world implementations in healthcare and transportation. His projects bridge theoretical advancements with practical solutions for complex decision-making environments.