جست‌وجوی استاد و پژوهشگر

Funda Durupinarمشاهده پروفایل

دانشیار

• Computer Graphics
• Animation
• Psychology
• +۵ مورد دیگر

Funda Durupinar is an Associate Professor in the Department of Computer Science at the University of Massachusetts Boston. Her research bridges computer graphics, animation, and psychology to develop believable virtual humans with nuanced emotional and personality-driven behaviors. Education: B.S. from Middle East Technical University, M.S. and Ph.D. from Bilkent University's Department of Computer Engineering Postdoctoral: Center for Human Modeling and Simulation, University of Pennsylvania Her work focuses on: Multimodal personality expression in virtual agents Nonverbal behavior synthesis for immersive environments Emotion contagion in crowd simulations Integration of psychological models into XR systems Data-driven approaches for realistic avatar animation Ethical considerations in affective computing Recent publications highlight trends in: Personality-embodiment interplay for LLM-based agents Dataset creation for facial expression analysis Motion-driven personality expression frameworks Crowd behavior modeling with affective parameters Leadership Roles: Program Chair for ACM Symposium on Applied Perception (SAP 2025) Organizer of MASSXR workshops at IEEE VR (2023-2025) Editorial Board Member, ACM Transactions on Applied Perception Co-organizer of BostonGFX computer graphics education initiative

Brian Rossمشاهده پروفایل

استاد

• Artificial Intelligence
• Computational Intelligence
• Genetic Programming
• +۱۰ مورد دیگر

Brian Ross is a Professor at the Department of Computer Science, Brock University. He holds a BSc (Hon) from the University of Manitoba, MSc from the University of British Columbia, and PhD in Artificial Intelligence from the University of Edinburgh. His research focuses on evolutionary computation , particularly genetic programming , with applications in computational biology , evolutionary design , and computational aesthetics . Education: BSc Computer Science (Hon), University of Manitoba MSc Computer Science, University of British Columbia PhD Artificial Intelligence, University of Edinburgh Research Interests: Computational Intelligence: genetic programming, evolutionary algorithms, multi-objective optimization Evolutionary Design: computational aesthetics, 2D/3D modeling, energy-efficient architecture Applications: computational biology, stochastic process algebra, GPU-based image analysis Article Trends: His recent work combines deep learning with evolutionary algorithms to enhance diversity in agent behavior and design optimization. Earlier studies focused on stochastic modeling of biological networks and procedural texture generation . Collaborations span computational aesthetics, passive solar architecture, and non-photorealistic rendering techniques. Students & Collaborations: He has supervised diverse projects including evolved intelligent agents , passive solar building design , and evolutionary art systems . Notable students include Marshall Joseph (2023), Tyler Cowan (2021), and Sheikh Faishal Basher (2021).

Adil Elfakirمشاهده پروفایل

مدرس ارشد

• Financial Modelling
• Islamic Finance
• Behavioral Finance
• +۵ مورد دیگر

Dr. Adil Elfakir is a Senior Lecturer at Sheffield Hallam University's Department of Finance, Accounting and Business Systems within the College of Business, Technology and Engineering. He joined in January 2018 after extensive roles including Senior Lecturer and Head of Finance Pathway at Cardiff Metropolitan University (2009-2018), Associate Professor at International Institute of Higher Education in Morocco (since 2006), and Research Fellow at LERMA-IFE Lab. His expertise includes financial consultancy, with senior roles at Fineopolis Consulting Institute and IMEX-First Group Maroc. Teaching focuses on advanced finance programs such as MSc Banking and Finance, MSc Wealth Management, and BA Honours Business and Financial Management. Key modules include Financial Derivatives, International Financial Management, and Risk Management. Research emphasizes agent-based simulation, game theory applications in financial contracting, and Islamic finance. He employs methodologies like fuzzy logic and NetLogo simulations to model phenomena in crypto predictability, credit defaults, and venture capital dynamics. Current projects include fintech innovation and AI in finance through his role as Editor-in-Chief of the FinTAF Journal . Collaborations involve institutions like University of Liverpool, Ecole Mohamadia d'Ingenieurs, and Kyonggi University. Supervises doctoral research on CEO personality impacts and digital banking adoption. Engages in peer review for top journals including International Review of Financial Analysis and European Journal of Finance. Leadership includes accreditation oversight for Moroccan higher education programs and fostering academic-industrial partnerships through visiting scholarships at University of Napoli and Ecole Mohamadia des Ingenieurs.

Moira Zellnerمشاهده پروفایل

استاد

• Urban Planning
• Environmental Policy
• Complex Systems Modeling
• +۵ مورد دیگر

Moira Zellner is a Professor of Public Policy and Urban Affairs at Northeastern University’s College of Social Sciences and Humanities. She serves as Director of the MS in Urban Informatics Program and Director of Participatory Modeling and Data Science. Previously, she was an Associate Professor at the University of Illinois at Chicago, where she led the Urban Data Visualization Lab. Her work bridges urban planning, environmental science, and complexity theory, focusing on participatory modeling for collaborative policy design and sustainability transitions. She teaches courses on agent-based modeling, environmental decision-making, and participatory modeling for knowledge co-production. Her research emphasizes stakeholder engagement in complex socio-ecological systems, including green infrastructure planning, water quality management, and climate resilience. She has pioneered tools like conversational assistants for data visualization and innovative approaches to census outreach. Zellner’s academic contributions span interdisciplinary journals and conferences, addressing urban-rural linkages, sustainability science, and transdisciplinary collaboration. Zellner holds a PhD in Urban and Regional Planning from the University of Michigan. She has advised international organizations, government agencies, and NGOs, advocating for equitable urban policies. Her professional service includes roles as a journal reviewer and scientific advisor, reflecting her commitment to bridging academia and practice. Key research themes include: participatory modeling methodologies, socio-environmental systems modeling, urban informatics, and the application of complexity theory to public policy. Recent work explores spatial planning for nature-based solutions, leveraging technology for inclusive civic engagement, and advancing computational tools for decision-making.

Marjorie McShaneمشاهده پروفایل

استاد

• Cognitive Science
• Artificial Intelligence
• Natural Language Processing
• +۳ مورد دیگر

Marjorie McShane is a Professor of Cognitive Science at Rensselaer Polytechnic Institute (RPI). She specializes in developing cognitive models for intelligent agents that collaborate with humans in task-oriented dialog systems. Her work integrates physiological simulation, emotion modeling, and cognition, with a focus on natural language processing (NLP) and cross-linguistic perspectives. She leads the Language-Endowed Intelligent Agents (LEIA) Lab and has authored influential books like Agents in the Long Game of AI and Linguistics for the Age of AI . Education: PhD in Slavic Languages and Literatures (Princeton University), MA (Princeton), Advanced Translation Certificate (SUNY Albany), and prior degrees from SUNY Albany and Grinnell College. Research Interests: Her work bridges cognitive science and AI, focusing on: 1) NLP and semantic analysis for conversational agents, 2) cognitive modeling in medical training (e.g., Maryland Virtual Patient system), and 3) hybrid AI systems combining knowledge bases with machine learning. She emphasizes explainable AI, lifelong learning, and trustworthiness in hybrid systems. Key Contributions: Pioneered frameworks like HARMONIC for cognitive robotics and LEIA agents. Her recent work addresses metacognition in AI, neurosymbolic approaches, and overcoming knowledge bottlenecks. She advocates for linguistics-informed AI development, integrating multi-stage language understanding with actionable decision-making. Labs/Teams: Directs the LEIA Lab, advancing research in embodied cognitive agents and language-enabled systems. Collaborates on medical simulation systems and AI ethics frameworks.

Giovanni Dalmassoمشاهده پروفایل

دانشیار

• Computational Biology
• Developmental Biology
• Biomedical Image Analysis
• +۴ مورد دیگر

Giovanni Dalmasso is an Associate Professor in the Department of Mathematics and Data Analytics at the IQS School of Engineering, Ramon Llull University. His research focuses on computational modeling of biological systems, including morphogenesis, cellular homeostasis, and biomedical image analysis. He specializes in developing tools for 3D/4D visualization of developmental processes and agent-based models of cellular dynamics. Key research areas include: 3D/4D reconstruction of embryonic development (e.g., limb bud morphogenesis) Biological shape correspondence algorithms (μMatch) Systems biology approaches to mitochondrial function and stress responses Mathematical modeling of calcium signaling dynamics His work contributes to UN Sustainable Development Goals related to innovation and infrastructure through advances in bioimaging and computational tools. Collaborations span institutions globally, including projects with the University of Edinburgh and University Pompeu Fabra. He has developed open-source software like LimbLab and veda for scientific visualization. Research outputs emphasize interdisciplinary methods combining engineering, mathematics, and biology to address fundamental questions in developmental biology and cellular systems. Current efforts focus on integrating moral decision frameworks into AI agents through contractualist models.

• Pharmaceutical Engineering
• Drug Delivery Systems
• Continuous Manufacturing
• +۳ مورد دیگر

Dr. Rahamatullah Shaikh is an Assistant Professor in Industrial Pharmaceutics at the Centre for Pharmaceutical Engineering Science within the School of Pharmacy and Medical Sciences, University of Bradford. With extensive international research experience in academia and industry, his expertise spans drug formulation, continuous manufacturing, and particle engineering. He holds a PhD from the University of Limerick and an MPhil from Queen's University Belfast, where he developed patented buccal patch technology. His research focuses on: Continuous manufacturing processes via Quality by Design (QbD) Next-generation drug delivery systems for oral, mucosal, transdermal, and ophthalmic applications Novel biomaterials for regenerative medicine His publication portfolio demonstrates strong trends in pharmaceutical cocrystallization, continuous processing, and advanced drug delivery systems, particularly for ophthalmology and personalized medicine. Dr. Shaikh teaches across undergraduate and postgraduate programs and serves as Health and Safety Lead at the CPES. He has supervised 16 student research projects and actively engages in science outreach through initiatives like spectroscopy workshops.

Trevor Hansonمشاهده پروفایل

استاد

• Transportation Engineering
• Aging and Mobility
• Community Transportation
• +۴ مورد دیگر

Dr. Trevor Hanson is a Professor in the Department of Civil Engineering at the University of New Brunswick (UNB), part of the Faculty of Engineering. He serves as the Coordinator of the UNB Transportation Group and holds roles such as Senator for Fredericton and Executive Vice President of the Canadian Transportation Research Forum. His education includes a BScE (2002), MScE (2004), and PhD (2010) from UNB. His research focuses on aging and mobility, community transportation systems, universal design, and low-cost data collection. Notable projects include age-friendly rural planning funded by NSERC and studies on volunteer transportation programs. He has advised multiple theses and special study courses, though student names are not listed. Dr. Hanson's work spans policy, infrastructure, and accessibility. He chairs the CSCE Task Force on Accessibility and integrates accessibility into UNB's civil engineering curriculum. Key awards include the 2022 and 2018 Bison Transport Debate wins and the 2012 Eric Garland Teaching Award. Grants: 5-year NSERC Discovery Grant Consulting: Independent contracts focused on rural transportation. His team explores health data integration for transportation planning, active transportation modeling, and demand estimation for volunteer services. He also advocates for visitable housing policies and rural infrastructure resilience.

Rotimi Ogunsakinمشاهده پروفایل

مدرس

• Data Analytics
• Artificial Intelligence
• Digital Transformation
• +۳ مورد دیگر

Dr. Rotimi Ogunsakin is a Lecturer in Business Data Analytics at Keele Business School, Keele University. With over ten years of experience in technology and academia, he bridges theory and practice in data analytics, digital transformation, and operations management. He holds a PhD in Information Systems from the Alliance Manchester Business School (completed in 3 years) and a Master’s in Advanced Computing with Distinction from the University of Manchester. His research focuses on AI-driven manufacturing optimization, digital twins, and nature-inspired algorithms, published in top journals and conferences. Dr. Ogunsakin teaches modules such as Data Analytics, Information Systems, and Digital Strategy at Keele and other UK universities. He collaborates with IBM, MongoDB, and The Very Group on research and curriculum development. He supervises self-funded PhD students in Data Analytics, Industry 4.0, and AI applications. Key awards include the Best Graduating Student Prize at the University of Port Harcourt (Nigeria) and a Master’s Distinction. His research spans adaptive manufacturing systems, stigmergic approaches to mass personalization, and explainable AI in finance. Recent work includes digital twins architecture and heuristic-based cloud optimization frameworks. He actively bridges academia and industry through consulting and entrepreneurship.

Donghoon Kimمشاهده پروفایل

استادیار

• Autonomous Systems Design
• Fault-Tolerant Control
• Health Monitoring of Autonomous Systems
• +۳ مورد دیگر

Dr. Donghoon Kim is an Assistant Professor at the University of Cincinnati's Department of Aerospace Engineering and Engineering Mechanics, part of the College of Engineering and Applied Science. He leads the Intelligent Autonomous Systems Research Laboratory (IASSRL), focusing on autonomous systems, fault-tolerant control, and celestial mechanics. Prior to academia, he worked at LG Electronics as a Senior Research Engineer, developing service robotic platforms. His professional affiliations include senior membership in AIAA and IEEE, and roles in technical committees for Astrodynamics and Robotics. Education: PhD in Aerospace Engineering (Texas A&M University, 2013) MS and BS in Aerospace & Mechanical Engineering (Korea Aerospace University, 2010 and 2008) Research Interests: Dr. Kim's work centers on intelligent autonomous systems , including robotic control, spacecraft dynamics, and machine learning integration. He emphasizes fault-tolerant control systems and health monitoring for autonomous platforms. His projects span celestial mechanics applications and deep learning-driven solutions for aerospace challenges. Grants & Awards: Recipient of the Neil Wandmacher Teaching Award (2022) $2.3M Air Force Research Lab grant for space robotics technologies (2024) $569K DoD grant for multi-agent trajectory planning (2024) Labs & Teams: Directs the IASSRL , collaborating on projects like the LEOPARDSAT-1 orbital platform and IntroSat educational spacecraft. Engages in industry partnerships with companies like Gimbal Innovations and CincyTech .

• Human-Computer Interaction
• Social Robotics
• Conversational Agents
• +۳ مورد دیگر

Jan de Wit is an Assistant Professor at Tilburg University's Tilburg School of Humanities and Digital Sciences (Department of Communication and Cognition). His research focuses on human-robot interaction, conversational agents, and the ethical evaluation of AI systems. He is affiliated with the Academic Collaborative Center for Digital Health & Mental Wellbeing. Key research interests include social robotics, NLP evaluation methodologies, and the psychological impacts of digital interactions. Recent work explores mood contagion in human-robot collaboration and the use of LLMs for simulated user testing. He has organized workshops like EduCUI 2024 and contributed to projects such as the scoping review on intersectionality in technology design. Notably, he received a Best Paper Award in 2019 and has collaborated with institutions on interdisciplinary research.

Pavel Alboresمشاهده پروفایل

استاد

• Simulation
• Supply Chain Management
• Emergency Management
• +۶ مورد دیگر

Pavel Albores is a Professor of Operations and Supply Chain Management and Director of the Aston Crisis Management Research Centre at Aston Business School . He served as Head of Department in the Operations and Information Management Department from 2015 to 2018. With academic appointments at Aston University since 2004 (including roles as Research Fellow, Lecturer, Senior Lecturer, and Professor), he has over 17 years of academic experience. Education : PhD in Simulation of e-business processes (University of Strathclyde, 2007) MSc in Manufacturing Management (University of Strathclyde, 2000) BSc in Chemical and Industrial Engineering (Universidad de las Americas - Puebla, 1996) Research Interests : Dr. Albores specializes in humanitarian logistics , disaster management , and supply chain simulation . His work bridges emergency response with business process optimization , focusing on mass evacuation modeling , sustainable supply chains , and digital manufacturing technologies . He has developed simulation frameworks for crisis management and blockchain applications in customer order systems. Key Projects : Served as co-investigator in the EC-funded ERGO project (€440,000) analyzing evacuation preparedness across 10 countries. Participated in ERDF-funded research (£1.2M) on low-carbon SMEs and supply chain management projects. Teaching : Leads postgraduate modules on Crisis Management , Enterprise Resource Planning , and Simulation . Has supervised 17 completed doctoral students and 8 ongoing PhD/DBA candidates. Recent Publications : His 15 most recent articles focus on humanitarian logistics optimization , sustainable intermodal transportation , blockchain-driven supply chains , and emergent technology adoption in manufacturing. These works demonstrate a consistent emphasis on multidisciplinary approaches combining operations research with real-world crisis scenarios . Scientific Recognition : Elected Fellow (2013) External Examiner for University of Strathclyde (2019–present) and Ulster University (2015–present) Professional Memberships : ACM SIGSIM Production and Operations Management Society Operational Research Society European Association of Operations Management Institution of Engineering and Technology Institute of Operations Management

• Computational Social Science
• Misinformation Studies
• Social Media Algorithm Analysis
• +۴ مورد دیگر

Professor Jana Lasser holds a professorship in Data Analysis at the University of Graz, where she leads the Complex Social & Computational Systems research group at the interdisciplinary IDea_Lab. She serves as Associate Faculty at the Complexity Science Hub Vienna and previously held positions at Graz University of Technology as a Marie Curie Fellow and interim professor at RWTH Aachen. Her educational background includes a PhD in Physics from Georg-August-University Göttingen (2019), conducted at the Max Planck Institute for Dynamics and Self-Organization, with research on salt desert pattern formation. Her academic journey reflects a transition from geophysics to computational social science. Lasser's research centers on emergent phenomena in complex social systems, employing machine learning, natural language processing, and computational modeling. Key interests include misinformation spread on social media, counterspeech effectiveness, social media recommendation algorithms' societal impact, and the fracturing of societal understanding of honesty. Her work combines theoretical frameworks with real-world applications through agent-based simulations and large-scale text analysis. Her recent publications reveal strong thematic coherence across computational social science, with significant focus on political communication dynamics, platform governance, and methodological innovation. The 15 most recent works demonstrate increasing integration of computational methods with social theory, particularly in analyzing truth-concept evolution in political discourse and developing alternative social media architectures. ERC Starting Grant 101160928 DeSiRe for designing social media recommendation algorithms FWF standalone project P 37280-N on conspiracy theory spread netidee SCIENCE prize for digital civic innovation Marie Curie Fellowship for postdoctoral research Lasser actively supervises graduate students in computational social science, with current focus on topics related to her ERC-funded project. She leads the Survey Special Interest Group within the COST Action on Researcher Mental Health, conducting Europe's largest benchmark study on academic mental health. Her lab maintains strong collaborations with the Complexity Science Hub Vienna and international institutions.

Suzanne Lenhartمشاهده پروفایل

استاد

• Mathematical Biology
• Optimal Control Theory
• Partial Differential Equations
• +۴ مورد دیگر

Suzanne Lenhart is a Chancellor’s Professor of Mathematics at the University of Tennessee, Knoxville, affiliated with the College of Arts and Sciences. Her research focuses on optimal control theory applied to biological systems, including population dynamics, infectious diseases, and natural resource management. She also served as Associate Director of Education and Outreach at NIMBioS, promoting interdisciplinary research in mathematical biology. Education: PhD in Mathematics from the University of Kentucky. She has published over 250 journal articles and four books, including Optimal Control Applied to Biological Models and Mathematics for the Life Sciences . Her work emphasizes translating mathematical models into practical solutions for ecological and public health challenges. Research interests include partial differential equations, optimal control applications in epidemiology, and environmental modeling. She has secured grants from the CDC and NSF, focusing on topics like hospital-acquired infections and US-Africa collaborative research in mathematical sciences. Outreach: Directed REU programs for 15+ years, supervised 33 PhD and 36 master’s students. Serves as a faculty sponsor for AWM and SACNAS student chapters, and leads the TAPDINTO-STEM initiative to promote STEM inclusion for students with disabilities. Awards: Fellowships from AWM, AMS, AAAS, and SIAM. Recognized for leadership in advancing women in mathematics and science education.

Vincent Conitzerمشاهده پروفایل

استاد

• Game Theory
• Artificial Intelligence
• Computational Social Choice
• +۷ مورد دیگر

Vincent Conitzer is a Professor in the Computer Science Department at Carnegie Mellon University, with a courtesy appointment in the Department of Philosophy. His research intersects artificial intelligence, game theory, and ethics, focusing on computational social choice, moral decision-making in AI, and mechanism design. Primary Affiliation: Computer Science Department, Carnegie Mellon University Courtesy Appointment: Department of Philosophy, Dietrich College of Humanities and Social Sciences Labs: Affiliated with the Laboratory for Symbolic and Educational Computing His work addresses game theory , ethical AI , and computational epistemology , with publications exploring moral preference elicitation, strategic behavior in automated systems, and the intersection of economics and artificial intelligence. Recent trends in his publications include game theory , AI ethics , mechanism design , and computational social choice , reflecting his focus on aligning AI systems with human values and strategic reasoning. Vincent's research spans both theoretical and applied domains, including bioethics (e.g., kidney allocation decisions), cooperative AI, and the stability of moral preferences in algorithmic systems. He is associated with the Laboratory for Symbolic and Educational Computing and the Center for Formal Epistemology , contributing to interdisciplinary projects at the interface of computer science and philosophy.