جست‌وجوی استاد و پژوهشگر

• Natural Language Processing
• Artificial Intelligence
• Machine Learning
• +۷ مورد دیگر

Carlo Lipizzi is a Teaching Associate Professor and Associate Chair for Corporate and Continuing Studies at the Department of Systems and Enterprises, Charles V. Schaefer, Jr. School of Engineering and Science, Stevens Institute of Technology. He also serves as Director of the Center for Complex Systems and Enterprises and holds strategic advisory roles within the College of Professional Education. His educational background includes a PhD in Systems Engineering from Stevens Institute of Technology (2015), an Executive MBA from IMD (1996), and an MS in Mathematics from Università degli Studi La Sapienza, Rome (1981). Lipizzi's research focuses on applied Natural Language Processing (NLP), Artificial Intelligence (AI), Machine Learning (ML), and Data Science, with applications in decision support, sustainability, and social media analytics. He develops AI agents using Large Language Models and designs systems for extracting decision-critical information from unstructured text. His work bridges computational methods with real-world challenges in defense, education, finance, and public health. The 15 most recent publications reflect a consistent trajectory in NLP and AI, emphasizing social media analysis, bias mitigation in LLMs, sustainability project matching, and formal analysis of technical specifications. Keywords span AI, NLP, Machine Learning, and Computational Social Science, with subfields including affective polarization, disaster response, funding recommendation, and ethical AI. Scientific Awards: Stevens Award for Teaching Excellence (2024) Lipizzi has served as Principal Investigator (PI) or Co-PI on multiple externally funded projects totaling over $5 million, including grants from DoD/Picatinny Arsenal, Defense Acquisition University, Siemens Financial Services, and Accenture. These projects focus on NLP-based risk evaluation, contract classification, educational credentialing, and AI-powered career coaching. He actively mentors graduate students and leads interdisciplinary research teams. His institutional service includes membership in key committees such as RETCOM, GCC, and faculty hiring panels. He leads the Center for Complex Systems and Enterprises and has co-developed academic programs including the Graduate Certificate in Computational Social Science. His teaching portfolio includes core courses in Data Science, AI & ML, and NLP at the graduate level.

Cathrynne Henshallمشاهده پروفایل

مدرس

• Equine Science
• Animal Welfare
• Cognitive Neuroscience
• +۱۲ مورد دیگر

Cathrynne Henshall is a Lecturer in Equine Science at Charles Sturt University, affiliated with the School of Agricultural, Environmental and Veterinary Sciences. Her work integrates equine behavior, cognitive and affective neuroscience, and animal welfare science. PhD, Charles Sturt University M.An.Sci, Adelaide University Diploma in Organic Agriculture BA(Hons), unspecified institution Her research focuses on understanding equine cognition and emotion, particularly how stress and exercise influence learning and behavior. She applies insights from neuroscience to improve horse training, welfare assessment, and human-horse interactions. Key areas include emotion detection in racehorses, welfare in rodeo horses, and the use of automated technologies in behavioral research. The 15 most recent articles reflect a strong trend toward interdisciplinary research combining behavioral observation, physiological monitoring, and innovative technology. There is a clear emphasis on developing objective, science-based tools for assessing equine affective states and welfare, with applications in performance, recreation, and ethical management contexts. Professional Recognition: Junior Vice President, International Society for Equitation Science Cathrynne has extensive experience mentoring and teaching students in equine studies and animal welfare. She has supervised research projects and contributed to curriculum development, particularly in integrating neuroscience into equine education. Her interdisciplinary collaborations span Australia and the UK, with funding likely directed toward welfare assessment tools, cognitive studies, and One Welfare initiatives. She is actively involved in research teams focused on developing standardized welfare indicators and affective state models in horses, often using novel methodologies such as remote-controlled vehicles and non-invasive neuroimaging. These teams operate at the intersection of veterinary science, psychology, and agricultural innovation.

• Computer Networks
• Software Defined Networking
• Edge Computing
• +۱۲ مورد دیگر

José André Rocha Sá Moura is an Assistant Professor at ISCTE - Instituto Universitário de Lisboa, affiliated with the Department of Information Science and Technology (ISTA). He is also an Integrated Researcher at the Institute of Telecommunications – IUL, where he contributes to the Radio Systems Group in Lisbon. His academic and research work is centered on advanced networking technologies and systems. PhD in Computer Science, Lancaster University, 2011 Master's in Electrical and Computer Engineering, University of Porto, 2001 Bachelor's in Electrical Engineering and Telecommunications, University of Aveiro, 1989 His research interests include software-defined networking (SDN), edge and fog computing, network management, game theory, optimization, resource virtualization, and the resilience of networked systems. He explores intelligent access to heterogeneous wireless networks and the integration of cloud and big data technologies in modern network infrastructures. His work bridges theoretical models with practical implementations in next-generation networks. The most recent publications highlight a strong trend in decentralized network control, autonomous management using AI/ML, resilience in edge systems, and efficient resource provisioning for IoT and multimedia services. His work frequently applies SDN and game theory to solve complex networking challenges in dynamic and heterogeneous environments. Scientific Awards and Recognitions: No specific awards mentioned in the provided text. Academic Supervision and Research Contributions: José Moura has supervised 1 PhD (as co-supervisor) and 10 MSc theses, covering topics such as SDN-based intrusion detection, multi-access management, fog computing, and IoT architectures. He has been involved in research projects including ImpAr, NEUF, and SAAS. He serves as a reviewer for journals like IEEE Transactions on Vehicular Technology and conferences such as ConfTele. His research aligns with UN Sustainable Development Goals related to innovation and infrastructure. Labs and Research Teams: He is an active member of the Radio Systems Group at IT – Lisboa, focusing on wireless technologies and networked systems. His work is embedded in the broader ecosystem of the Institute of Telecommunications, a leading R&D unit in Portugal.

• Computer Vision
• 3D Reconstruction
• Sports Data Science
• +۳ مورد دیگر

Dr. Maarten Slembrouck is a postdoctoral researcher affiliated with Ghent University, working across the Faculty of Medicine and Health Sciences (Department of Movement and Sports Sciences) and the Faculty of Engineering and Architecture (Department of Electronics and Information Systems). His research focuses on computer vision, 3D reconstruction, and sensor fusion for sports analytics and human motion analysis.

Sander van Doornمشاهده پروفایل

دانشیار

• Sexual Selection
• Species Differentiation
• Evolutionary Dynamics
• +۷ مورد دیگر

Sander van Doorn is an Associate Professor at the University of Groningen's Faculty of Science and Engineering, where he leads the Van Doorn group focused on Evolutionary Systems Biology. His research spans evolutionary dynamics, microbial evolution, and eco-evolutionary processes with significant contributions to understanding antimicrobial resistance and speciation mechanisms. Dr. van Doorn's research interests center on evolutionary systems biology, with specific focus on sexual selection, species differentiation, cooperation dynamics, and lifespan evolution. His work integrates theoretical modeling with empirical approaches to understand fundamental evolutionary processes, particularly in microbial systems and speciation mechanisms. He investigates how eco-evolutionary interactions shape biological systems across multiple scales, from molecular mechanisms to population dynamics, with particular emphasis on Escherichia coli as a model organism while developing broader theoretical frameworks. His recent publication trends show a strong interdisciplinary approach bridging theoretical evolutionary biology with concrete health applications, particularly in the context of One Health. There's a clear trajectory toward understanding antimicrobial resistance through eco-evolutionary lenses, with increasing focus on practical implications for public health while maintaining strong theoretical foundations. His notable awards include: ERC Starting Grant (2012) University Research Fellowship (2012) NWO Vidi Research Fellowship (2011) Jasper Loftus-Hills Young Investigators Award (2007) NWO Rubicon Fellowship (2006) Dr. van Doorn has supervised multiple PhD students including Bustamante Ordonez, M., Scherrer, R., Kort, K., and Skirl, A. His research has been supported by significant grants including multiple AL projects (AL-I, AL-II, AL-III) focusing on eco-evolutionary dynamics, antimicrobial resistance, and microbial community evolution. These projects involve interdisciplinary collaborations across theoretical biology, microbiology, and medical research, with funding totaling multiple million euros and involving numerous international partners. He leads the Van Doorn group on Evolutionary Systems Biology, which focuses on understanding evolutionary processes through both theoretical modeling and experimental approaches. The group investigates how eco-evolutionary feedback loops operate in biological systems, with particular attention to microbial communities and speciation mechanisms. Their research has important implications for understanding and addressing antimicrobial resistance through an evolutionary lens, with recent work demonstrating how temperature affects mutation rates toward antibiotic resistance and how quorum sensing mechanisms can be harnessed for collective decision-making in bacterial populations.

Sara Moutonمشاهده پروفایل

پژوهشگر

• Cell Biology
• Ageing Biology
• Physicochemical Biology
• +۳ مورد دیگر

Sara Mouton is a Postdoc researcher at the University of Groningen, affiliated with both the Faculty of Science and Engineering and the Faculty of Medical Sciences. Her primary appointment is in the Molecular Systems Biology group under the Groningen Biomolecular Sciences and Biotechnology institute. She holds a PhD (Cum Laude, 2023) and MSc (2016) in Biomedical Sciences with a focus on ageing biology. Her research explores the physicochemical basis of cellular ageing, particularly macromolecular crowding and cytoplasmic organization in yeast. She investigates how physical and chemical parameters shift with age, using tools like FRET-based sensors and in vitro reconstitution of cell cycle processes. Recent projects include studying nuclear pore complex dynamics and stress-induced transport defects linked to ALS. Publications highlight her expertise in nuclear transport mechanisms, protein self-organization, and single-cell analysis of ageing biomarkers. Awards include a Cum Laude distinction for her PhD thesis on physicochemical perspectives of ageing. She collaborates with Prof. Liesbeth Veenhoff and Dr. Julia Kamenz, advancing studies on crowding regulators and cell cycle reconstitution. Her work bridges biophysics, cell biology, and ageing research, with implications for understanding cellular organization and disease mechanisms.

• Membrane Biology
• Cellular Membrane Remodeling
• Biophysics
• +۴ مورد دیگر

Anna Shnyrova is an Associate Professor and Ramon y Cajal researcher at the Biofisika Institute, a joint research center of the Spanish National Research Council (CSIC) and the University of the Basque Country (EHU). She leads the Mechanisms of Cellular Membrane Remodelling Laboratory, focusing on fundamental processes in cell biology and biophysics. Her research expertise lies in the dynamic remodeling of cellular membranes, a critical aspect of cellular function including trafficking, division, and signaling. Her work integrates biochemical, biophysical, and structural approaches to understand how proteins and lipids cooperate to shape membranes. The analysis of her publication record reveals a strong emphasis on membrane dynamics, particularly in processes such as fission, fusion, curvature generation, and the role of specialized proteins like BAR domains and dynamins. Her studies frequently employ advanced techniques including in vitro reconstitution, fluorescence imaging, and electron microscopy, often published in top journals like Nature and Science . Young Researcher Award of the Spanish Biophysical Society (2013) UNESCO-L'Oreal for Women in Science grant (2016) Anna Shnyrova has secured significant research funding from the Ministry of Science, Innovation and Universities and the Basque Government, supporting her laboratory and research team. Although specific students are not listed, her leadership of an independent research group indicates active mentorship and training of early-career scientists. Her work continues to advance the mechanistic understanding of cellular membrane organization.

Michael Morganمشاهده پروفایل

استاد

• Behavioural Neuroscience
• Visual Neuroscience
• Psychophysics
• +۷ مورد دیگر

Professor Michael Morgan is a renowned neuroscientist at City, University of London , specializing in the visual system. He joined the institution in 2000 and has held a Professor of Neuroscience appointment. His career spans prestigious institutions including the University of Cambridge , McGill University , Durham University , University College London (UCL) , and University of Edinburgh . Education: PhD, MA, and ScD in Natural Sciences (Experimental Psychology) from the University of Cambridge His research focuses on behavioural neuroscience with applications to vision science , particularly in motion processing , spatial vision , perceptual decision-making , and visual adaptation mechanisms . Current projects funded by the EPSRC and Wellcome Trust explore selective attention , signal detection , and visual space recalibration . Recent publications highlight his work on change detection , direction-selective adaptation , density/contrast modulation , and stereopsis . Collaborations with colleagues like J.A. Solomon and S. Grant span both Applied Vision Research Centre and external institutions such as UCI and Institute of Ophthalmology . Scientific Honors: Elected Fellow, The Royal Society (2005–present) His work bridges psychophysics , visual perception , and neural mechanisms , with implications for understanding both normal and clinical visual processing.

• Blockchain
• Federated Learning
• Crowd sensing and sourcing
• +۹ مورد دیگر

Prof. Hadi Otrok serves as a Professor in the Department of Electrical Engineering and Computer Science (EECS) at Khalifa University. He concurrently holds Affiliate Associate Professor positions at Concordia Institute for Information Systems Engineering (Concordia University, Montreal) and the Electrical Department at École de Technologie Supérieure (ETS, Montreal). He is an Associate Editor for IEEE Transactions on Network and Service Management (TNSM), IEEE Transactions on Services Computing (TSC), and Ad-hoc Networks (Elsevier), with prior editorial service for IEEE Networks and IEEE Communication Letters. His academic credentials include: Ph.D. in Electrical and Computer Engineering (ECE), Concordia University, Montreal, Canada (2008) M.Sc. in Computer Science, Lebanese American University, Lebanon (2003) B.Sc. in Computer Science, Beirut Arab University, Lebanon (2000) Prof. Otrok's research spans Blockchain applications, Federated and Reinforcement Learning systems, and Crowd sensing/sourcing methodologies within Ad hoc networks and Cloud/Fog Computing frameworks. His work integrates Game theoretical Models to address challenges in Computer and Network Security, Internet of Vehicles (including VANET and MANET architectures), and distributed Services Management. Current projects leverage AI and IoT to develop solutions for radiation monitoring, electric vehicle infrastructure, and secure supply chain systems. He leads five major research initiatives: SEEMS-CSI: Smart energy management for EV charging infrastructure with vehicle-to-grid integration Radiation Monitoring System: Real-time detection/tracking of radiation sources using IoT and crowd sensing Blockchain Supply Chain: V2V-enabled framework for crowdsourced logistics optimization Trust in Mobile Crowdsensing: Integrating CPS and crowd data for multi-view AI models Secure Mesh Chat: Resilient communication application over private mesh networks with TII As Chair of the K-12 Ministry of Education Computer Science-AI Framework and founder of academic contests, he actively shapes educational policy while mentoring through the Intelligent Crowd Group, which currently offers Research Assistant, PhD, MSc, and Post-doc positions. He is affiliated with Khalifa University's Center for Cyber-Physical Systems Research (C2PS) where his team develops next-generation security and optimization frameworks for cyber-physical environments.

Andreas Kunzمشاهده پروفایل

مدرس

• Virtual Reality
• Mixed Reality
• Human-Computer Interaction
• +۶ مورد دیگر

Andreas Kunz is a Lecturer at the Department of Mechanical and Process Engineering, ETH Zurich, where he leads the Innovation Center for Virtual Reality (ICVR). His research focuses on developing user-oriented virtual and mixed reality systems tailored for industrial applications across product development processes and digital factories. Current Affiliation: ETH Zurich, Institute for Machine Tools Research Themes: Virtual Reality, Mixed Reality, Human-Computer Interaction, Digital Twin Systems Since joining ETH Zurich in 1994 and completing his habilitation in 2004 on "Interaction with the digital product model in virtual space," Kunz has pioneered VR systems for visualization, collaboration, and haptic interfaces in industrial contexts. His work combines academic research with practical implementation through industry collaborations. Recent research trends show increasing focus on real-world VR applications including: Multiuser redirected walking algorithms Attention guidance systems Industrial MTM motion transcription Smartphone-MR device integration Eye tracking for cognitive analysis Haptic interfaces for control panels The ICVR group under Kunz's leadership maintains strong industry partnerships while producing significant publications in IEEE VR, ISMAR, and ACM VRST conferences. Their work bridges theoretical VR research with practical implementations in manufacturing, assembly, and safety-critical environments.

• Emergency Medicine Operations
• Patient Safety
• Healthcare Quality Improvement
• +۵ مورد دیگر

Dr. Kevin A Kotkowski is an Associate Professor in the Department of Emergency Medicine at UMass Chan Medical School's T.H. Chan School of Medicine. His academic career spans over a decade with consistent contributions to emergency medicine operations research and quality improvement. Education: BS in Biology from College of William and Mary, Williamsburg, VA MD from Tufts University School of Medicine, Boston, MA Dr. Kotkowski's research program focuses on optimizing emergency department operations through data-driven approaches. His work examines factors influencing length of stay, imaging utilization patterns, physician workload measurement, and patient safety incident reporting systems. He has developed expertise in translating operational data into actionable clinical improvements, with recent work emphasizing real-time predictive analytics for emergency department flow. His research methodology combines clinical emergency medicine knowledge with operations research principles to address practical challenges in emergency care delivery. Analysis of Dr. Kotkowski's publication trajectory (2014-2025) reveals an evolution from specific operational challenges like cervical spine imaging utilization toward more comprehensive analyses of emergency department functioning. His most recent work demonstrates sophisticated data analytics applications aimed at generating real-time insights for clinical practice improvement. The consistent collaboration pattern with researchers like Martin Reznek, Karl Chamberlin, and Maureen Canellas suggests a well-established research team focused on emergency department operations. Key Research Collaborators: Martin Reznek Karl Chamberlin Maureen Canellas Celine Larkin Bruce Barton While specific teaching responsibilities aren't detailed in the provided information, his Associate Professor position indicates active involvement in medical student and resident education within the emergency medicine department. His research focus on operational efficiency likely informs both his clinical practice and educational contributions to emergency medicine training programs.

• Financial Markets and Institutions
• Banking
• Financial Risk Management
• +۶ مورد دیگر

Mehmet AKARÇAY is a Lecturer at the Department of Accounting and Tax Applications, Mucur Vocational School, Kırşehir Ahi Evran University. He has been employed in academic roles since 2009, previously serving at Mustafa Kemal University and Ahi Evran University. His expertise spans financial markets, banking, and risk management. PhD in Business Administration (2021), Nevşehir Hacı Bektaş Veli University Master’s in Business Administration (2013), Mustafa Kemal University Bachelor’s in Business Administration (2009), Anadolu University Bachelor’s in Accounting Education (2008), Gazi University His research focuses on financial performance, capital structure theories, digital transformation in banking, and working capital management. Recent works analyze cash flow risks, non-performing loans, and the impact of interest rate fluctuations on dividend policies. Publications include empirical studies on BIST manufacturing firms, Turkish deposit banks, and credit accessibility. Collaborations include co-authoring with Emin Hüseyin Çetenak (2017) and Ersan Ersoy (2023).

• Agent-Based Simulation
• Distributed Systems
• Robotics
• +۴ مورد دیگر

Wojciech Turek is a University Professor at the Institute of Computer Science, Faculty of Computer Science, AGH University of Science and Technology in Krakow, Poland. He serves as the Faculty Innovation Broker and is a member of the Disciplinary Council for Technical Information Technology and Telecommunications. His research focuses on agent-based simulation, distributed systems, and robotics. His research interests span scalable agent-based computing, urban traffic simulation, robot coordination, and high performance computing. He has developed novel design patterns for distributed simulation and has applied his work to domains such as traffic management, pedestrian dynamics, and multi-robot systems. His approach often leverages the actor model and Erlang for building highly scalable systems. An analysis of his recent publications reveals a strong trend towards scalability and decentralization in simulation and robotics. His work integrates techniques from evolutionary computation, ant colony optimization, and signal propagation to address complex problems in urban environments and robot coordination. He has also explored applications in vehicle safety using mobile phone technology. Professor Turek holds the position of Faculty Innovation Broker at the Faculty of Computer Science, indicating an active role in technology transfer and innovation within the university. While specific details of his advising and grants are not provided in the available information, his extensive publication record suggests significant research activity.

Paul Carronمشاهده پروفایل

دانشیار

• Moral Psychology
• Virtue Ethics
• Philosophy of Technology
• +۷ مورد دیگر

Dr. Paul Carron is an Associate Professor of Philosophy in the Baylor Interdisciplinary Core (BIC) at Baylor University, with additional affiliation in the Department of Philosophy. His research bridges classical philosophical traditions with contemporary empirical psychology, focusing on moral responsibility, virtue ethics, and the intersection of technology with human moral life. Areas of Specialization: Moral Psychology, Virtue Ethics, Søren Kierkegaard, Aristotle: Ethics Key Teaching Roles: Coordinator of Social World I: The City and the Soul , courses on virtue theory, social psychology, biblical ethics, and ethics & technology His recent publications analyze profound loneliness through Heidegger’s lens (2023), Nietzsche’s non-teleological virtue ethics (2025), and Aristotle’s voluntary action theory (2019). He explores emotion regulation as a skill underlying virtue (2021), critiques evolutionary moral sentimentalism via Kierkegaardian and Aristotelian frameworks, and develops interdisciplinary pedagogical models for teaching ethics in religiously plural environments. Collaborations with Charles McDaniel focus on social justice education (2020) and virtue cultivation through emotion regulation (2013). His work often engages Heidegger, Kierkegaard, and Aristotle to address modern challenges like technology-induced alienation and crowd psychology.

ERCAN YÜCELمشاهده پروفایل

مدرس

• Modern Turkish Literature
• Literary Analysis
• Gender Studies
• +۴ مورد دیگر

ERCAN YÜCEL serves as a Lecturer at Gaziantep University's Oguzeli Vocational School within the Property Protection and Security Department since 2021. His teaching portfolio includes Literary Knowledge and Theories, Sociology of Literature, and Computer Applications in Turkology at Licence level, alongside Security Management and Crowd Management for Associate Degree students. Previously, he lectured at the Police Academy's Security Sciences Institute (2017-2019). His academic foundation comprises: Doctorate in Modern Turkish Literature from Hacettepe University (2011-2020) Master's in Radio, Cinema and Television from Gazi University (1999-2007) Licence in Security Sciences from Police Academy (1994-1998) Yücel's research critically examines gender representation in contemporary Turkish fiction, criminal psychology in detective novels, and mythological elements in literary narratives. His work consistently bridges literary theory with psychological frameworks, particularly through analyses of authors like Ahmet Ümit and Buket Uzuner, revealing intersections between cultural identity and narrative construction in Turkish society. His 2017-2022 publications demonstrate a methodological evolution toward interdisciplinary analysis, combining literary criticism with personality psychology models. This trajectory highlights growing scholarly interest in the cognitive dimensions of character development within Turkish detective fiction, while his conference presentations increasingly incorporate environmental and mythological perspectives into literary studies.