جست‌وجوی استاد و پژوهشگر

• Social Neuroscience
• Collective Emotion
• Neural Network Dynamics
• +۴ مورد دیگر

Thalia Wheatley is a Professor of Psychological and Brain Sciences and Director of the Center for Social Brain Sciences at Dartmouth College. She serves on the Santa Fe Institute's Science Board as an External Professor. Her research explores collective creation of ideas and emotions, mind coupling mechanisms, and their impact on neural and social network stability through methods like neuroimaging, natural language processing, and social network analysis. Director, Center for Social Brain Sciences External Professor, Santa Fe Institute Science Board Research Interests encompass Social Neuroscience , Collective Cognition , and Neural Network Dynamics . Current work examines: How minds couple through social interactions Neural mechanisms of social resonance Cross-cultural behavioral patterns Temporal dynamics in conversational synchronization White matter connectivity in social cognition Publications demonstrate multidisciplinary approaches connecting neuroscience, psychology, and network science, particularly focusing on social alignment, emotional perception, and interactive cognition. Scientific Contributions include: Advancing understanding of social brain networks Developing frameworks for interpersonal neural coupling Investigating rhythmic synchrony in social interactions Exploring emotion perception across cultures Studying social network dynamics through neuroimaging As Director of Graduate Studies, she shapes academic programs while maintaining an active research agenda in cognitive and social neuroscience.

Cristian Candiaمشاهده پروفایل

پژوهشگر

• Computational Social Science
• Network Science
• Business Analytics
• +۴ مورد دیگر

Cristian Candia is a researcher and academic leader at the CRiSS-LAB, School of Engineering and School of Government at Universidad del Desarrollo, Chile. He also serves as an External Faculty member at the Northwestern Institute on Complex Systems at Northwestern University, USA. His roles include directing the Data Science Master’s Program and leading research in computational social science and network science. Education: PhD in Complex Systems (Center for Social Complexity, Universidad del Desarrollo; MIT Media Lab; Northeastern University), Master of Science in Physics, Bachelor of Science in Physics, and Physics Engineering from Universidad de Concepción, Chile. Postdoctoral research at Kellogg School of Management, Northwestern University. Research focuses on computational social science, collective intelligence, network science, and their applications to education, decision-making, and social dynamics. Key tools include Lixandria (degree program recommendation system) and discolab (AI-driven constitutional text analysis platform). Current projects include FONDECYT-funded work on Collective Memory and FONDEF-funded initiatives on data-driven education decisions. Contributions span hybrid classroom dynamics, bullying patterns, gender mobility, and gig economy networks. Collaborations include the MIT Media Lab and Kellogg School of Management.

Kemal Tepeمشاهده پروفایل

استاد

• Vehicular Networks
• Cognitive Radio
• Wireless Communication
• +۶ مورد دیگر

Professor Kemal Tepe is a faculty member in the Faculty of Engineering at the University of Windsor, specializing in wireless communication and information processing. His research focuses on vehicular networks, cognitive radio systems, and smart grid technologies. He leads the Wireless Communication and Information Processing Lab , where he develops solutions for autonomous driving systems, cybersecurity in vehicle-to-infrastructure communication, and spectrum sensing techniques. In 2016, he was awarded the Medal of Excellence by the Faculty of Engineering for his dedication and service. Tepe’s work bridges theoretical advancements and practical applications, addressing challenges in autonomous systems, machine learning for anomaly detection, and IoT security. His contributions include pioneering methods for detecting adversarial behavior in vehicular networks and improving spectrum utilization through probabilistic modeling. Collaborations with industry partners like Ford Motor Company and involvement in initiatives such as the Perspective Magazine automotive research highlight his industry-relevant research. His research interests span a wide range of domains including: Autonomous vehicle safety and communication protocols Cognitive radio networks and spectrum management Machine learning for network security and anomaly detection Wireless sensor networks and energy-efficient protocols Smart grid integration and communication architectures Tepe’s publications emphasize practical implementations, such as real-time routing protocols for wireless sensor networks and hardware designs for cognitive radio systems. His lab’s innovations have been showcased in industry-relevant platforms, demonstrating the real-world impact of his work.

Tim Welshمشاهده پروفایل

استاد

• Perception
• Cognition
• Cognitive Neuroscience
• +۶ مورد دیگر

Dr. Timothy Welsh is a full-time Professor in the Action & Attention Lab at the University of Toronto's Faculty of Kinesiology & Physical Education , where he also serves as Associate Dean, Research since 2023. With cross-appointments from the Faculty of Physical Education and Health, his work bridges cognitive neuroscience and motor behavior research. Academic Background Ph.D. in Human Biodynamics (McMaster University, 2002) M.Sc. in Human Biodynamics (McMaster University, 1999) B.P.H.E. in Physical and Health Education (University of Toronto, 1997) Dr. Welsh's research explores neural mechanisms of goal-directed actions across typical and neurodiverse populations. His lab investigates joint action dynamics , self-objectification effects on motor performance , and cross-reality sensorimotor adaptation , with significant focus on autism and developmental coordination disorder. Recent publications (2024-2025) reveal systematic differences in motor imagery between autistic and non-autistic adults , gender-specific learning patterns , and cross-modal sensory integration challenges in mixed reality environments . These studies demonstrate his lab's expertise in combining behavioral experimentation , EEG analysis , and computational tool development like TAT-HUM. Scientific Recognition Franklin Henry Young Scientist Award Early Distinguished Career Award (NASSP) Outstanding Graduate Supervision Award As principal investigator on 15 active grants (2015-2027), including projects on digital health platforms for concussion rehabilitation and AI-assisted VR learning modules , Welsh's work impacts both basic science and applied interventions. His lab trains students at all levels through KPE 362 (undergraduate) and KIN 5514 (graduate) courses.

• Computational Biology
• Gene Expression Analysis
• Schizophrenia Research
• +۵ مورد دیگر

Tade Souaiaia serves as Assistant Professor of Cell Biology at SUNY Downstate Health Sciences University's School of Graduate Studies. His research integrates computational biology with mental health investigations, focusing on gene expression dynamics in development and psychiatric disorders. He teaches graduate-level statistics and algorithm analysis courses delivered virtually via YouTube. Dr. Souaiaia's primary research centers on computational method development for multi-omics integration (gene expression, isoform-level data, microRNA, ChIP-Seq) to unravel schizophrenia etiology. His secondary research applies kinematic modeling to athletic performance (sprint/long jump), connecting cellular mechanisms with environmental training models. This dual focus bridges molecular neuroscience with practical biomechanics applications. Analysis of his 2020-2025 publications reveals three dominant research trajectories: (1) Psychiatric genetics through multi-ancestry studies of autism/schizophrenia, (2) Polygenic risk score innovation (notably BridgePRS for cross-ancestry portability), and (3) Primate neurogenomics investigating anxious temperament via orbitofrontal cortex and amygdala transcriptomics. His work consistently emphasizes translational applications of computational genomics to mental health. No scientific awards were documented in the provided materials. Dr. Souaiaia teaches Scientific Computing in Python (GRSC 6974) and Graduate Statistics (GRSC 0120), with virtual instruction accessible on YouTube. While specific grant details and student advising records are unreported, his laboratory actively develops computational frameworks for psychiatric genomics. His research program demonstrates strong interdisciplinary collaboration between neuroscience, psychiatry, and bioinformatics teams. He leads a research laboratory specializing in computational analysis of multi-omics datasets, with particular emphasis on primate brain tissue studies. The lab develops novel algorithms for integrating genomic, transcriptomic, and epigenomic data to model mental health disorders, maintaining active partnerships with neuroscience and clinical psychiatry research groups.

• Wireless Communications
• Satellite Communications
• Cybersecurity
• +۵ مورد دیگر

Athanasios G. Kanatas is a Professor at the Department of Digital Systems, University of Piraeus, Greece, and Director of the Telecommunication Systems Laboratory. He holds a Ph.D. in Mobile Satellite Communications from NTUA (1997), and has held roles such as Dean of the School of Information & Communication Technologies (2013–2017) and IEEE Communications Society Chairperson (1999). Education: Diploma in Electrical Engineering (NTUA, 1991), M.Sc. in Satellite Communication Engineering (University of Surrey, 1992), Ph.D. in Mobile Satellite Communications (NTUA, 1997). Research focuses on V2X communications, UAV-assisted networks, antenna design, stochastic geometry, and cybersecurity. He has published over 200 papers and authored 6 books, and leads projects in 5G/6G systems and integrated sensing-communication networks. His work includes pioneering contributions to aerial relay placement, fluid antenna systems, and hybrid beamforming techniques. He serves as Editor of IEEE Transactions on Wireless Communications, Associate Editor of IEEE Transactions on Antennas and Propagation, and is a Senior IEEE Member since 2002. Recent activities include extending the deadline for M.Sc. program applications and promoting internships for students. Labs/Teams: Directs the Telecommunication Systems Laboratory, collaborating on projects like ARGOS RFI monitoring and UAV corridor-assisted IoT networks. His research emphasizes practical implementation through prototyping and experimentation, with applications in aerospace, IoT, and intelligent transport systems.

K.C. Changمشاهده پروفایل

استاد

• Data Fusion
• Bayesian Networks
• Probabilistic Reasoning
• +۹ مورد دیگر

K.C. Chang is a Professor in the Department of Systems Engineering and Operations Research at George Mason University's Volgenau School of Engineering. He is the Director of the Sensor Fusion Lab and the coordinator of the Financial Engineering Program at GMU, reflecting his interdisciplinary research focus on data fusion and probabilistic reasoning. Education: PhD, Electrical Engineering, University of Connecticut MS, Electrical Engineering, University of Connecticut BS, Communication Engineering, National Chiao-Tung University Dr. Chang's research centers on distributed data fusion, Bayesian networks, and decision-making under uncertainty, with applications in sensor networks, wireless communications, satellite systems, and financial engineering. His work integrates statistical modeling, machine learning, and systems engineering principles to solve complex, real-world problems involving uncertainty and large-scale information processing. The recent publications reflect a strong trend in applying probabilistic reasoning to dynamic spectrum access, satellite communication, and electronic warfare. His research leverages copula functions and information genealogy to enhance fusion accuracy in non-Gaussian and dependent environments. Applications span defense, aerospace, and finance, demonstrating the versatility of his methodological contributions. Scientific Awards: IEEE Fellow (2010) for contributions to sensor data fusion and Bayesian probabilistic inference Dr. Chang has advised numerous graduate students and led major research initiatives funded by the Office of Naval Research (ONR), National Science Foundation (NSF), Army Research Office (ARO), Air Force Office of Scientific Research (AFOSR), and industry partners like Intelligent Fusion Technology Inc. and Impact Technologies, LLC. His editorial roles include serving as Editor for Tracking/Navigation Systems and Large Scale Systems in IEEE Transactions on Aerospace and Electronic Systems, and as Associate Editor for IEEE Transactions on Systems, Man, and Cybernetics. He was also Technical Program Co-Chair of the 2009 International Conference on Information Fusion. He leads the Sensor Fusion Lab at George Mason University, a research group focused on advancing the theory and application of multi-sensor, multi-source information fusion. The lab works on foundational algorithms as well as real-world implementations in defense, communication, and financial systems. The lab collaborates with government agencies and private sector organizations to translate theoretical advances into operational technologies.

• Mediation
• Arbitration
• Conflict Resolution
• +۵ مورد دیگر

Maurizio Di Rocco serves as a Professor at the Faculty of Law, University of Trento, Italy, with institutional affiliation centered on legal theory and dispute resolution practice. His academic base is anchored at Via Verdi, 53 - 38122 Trento, with primary contact via university email. Academic Credentials: Law Degree, Faculty of Law, University of Padua (1995), thesis: "Regicide in the legal thought of J. Milton" with supplementary work in Banking Law and Public International Law Classical High School Diploma, State High School "R. Franchetti", Mestre-Ve (1986) Advanced qualifications: Civil/commercial mediator trainer (accredited under Legislative Decree 28/2010), plus specialized training from JAMS-Endispute (Boston, 1999), NCRC (San Diego, 2005), and Friedman/Himmelstein workshops (2010-2014) Professor Di Rocco's research forms the cornerstone of Italian Alternative Dispute Resolution (ADR) scholarship, with concentrated expertise in mediation systems design , sector-specific conflict resolution (telecommunications, insurance, medical liability), and consumer dispute mechanisms . His work bridges theoretical frameworks in legal philosophy with actionable procedural protocols, emphasizing cross-cultural negotiation dynamics and institutional implementation challenges. The trajectory of his scholarship reveals deepening specialization in extrajudicial resolution pathways since the early 2000s, with particular focus on legislative compliance and practical mediator competencies. Analysis of his 12 major publications (2003-2013) demonstrates three dominant research vectors: (1) Codification and refinement of Italian mediation frameworks through annual updated codes (2011-2012), (2) Sectoral adaptation of ADR mechanisms to high-conflict industries like telecom and healthcare, and (3) Consumer rights protection through structured conciliation systems. His collaborative works with Covata, Santi, and Marucci reveal consistent focus on civil/commercial dispute resolution, while solo publications establish foundational theories for mediator ethics and procedural justice. No scientific awards or major fellowships are documented in the source materials. Professor Di Rocco's advisory impact manifests through policy-shaping engagements rather than formal student supervision. His Ministry of Productive Activities-cofunded consumer rights project (2004) and CNCU-commissioned ISDACI research report (1999) demonstrate direct influence on Italian ADR legislative frameworks. Current consulting roles with the Venice Chamber of Arbitration and Forensic Conciliation Coordination continue this practical policy integration. As co-founder and Vice President of "RESOLUTIA – Gestione delle controversie" (2000-present), he directs an active dispute resolution consortium that operationalizes his academic work. The association functions as a living laboratory for testing mediation protocols across consumer, corporate, and regulatory contexts, maintaining close ties with the Venice Chamber of Commerce and Consumer Defense Movement.

Alex Haslamمشاهده پروفایل

استاد

• Social and Organizational Psychology
• Social Identity Theory
• Leadership Dynamics
• +۵ مورد دیگر

Professor Alex Haslam is a leading scholar in Social and Organizational Psychology at the University of Queensland, Australia. With a career spanning decades, he has made significant contributions to understanding group and identity processes across organizational, social, and clinical contexts. His work includes over 300 peer-reviewed articles and 15 books, such as The New Psychology of Leadership (2020) and The New Psychology of Health (2018). He serves as Associate Editor of The Leadership Quarterly and has held editorial leadership roles at the European Journal of Social Psychology . Education: Bachelor (Honours) from University of St Andrews (1990), PhD from Macquarie University (1997) His research spans four major impact areas: (1) A new psychology of leadership focusing on shared identity as a foundation for influence, (2) The glass cliff phenomenon examining gender dynamics in crisis leadership appointments, (3) The Social Cure framework for health-enhancing group membership, and (4) The BBC Prison Study reinterpreting tyranny through engaged followership rather than blind conformity. His work has been recognized with awards from the Australian Psychological Society, British Psychological Society, and the International Leadership Association. Recent publications (2025) demonstrate his ongoing influence in domains ranging from construction workers' mental health to emergency response team dynamics. His 5R Leadership Development Program has been adopted globally, and he remains actively engaged in mentoring through both formal supervision and collaborative research initiatives.

Michelle Connollyمشاهده پروفایل

استاد

• Macroeconomics
• International Trade
• Development Economics
• +۳ مورد دیگر

Michelle Connolly is a Professor of the Practice in the Department of Economics at Duke University, where she has held various roles since 1997, including Director of the Duke in New York Program and Chief Economist at the Federal Communications Commission (FCC). She specializes in Macroeconomics, International Trade, Telecommunications Policy, and Development Economics. Her research focuses on spectrum policy, broadband competition, and the economic impacts of technological diffusion. Dr. Connolly has authored numerous articles and has been honored with awards such as the Howard D. Johnson Teaching Prize and the Distinguished Service Award from the Public Utility Research Center. She also serves on committees like the Arts & Sciences Curriculum Committee and the Phi Beta Kappa Chapter at Duke. Education: Ph.D., Economics, Yale University, 1996 M.Phil., M.A., Economics, Yale University (1993, 1992) B.A., Economics, Yale University, 1990 (Summa Cum Laude, Phi Beta Kappa) Research Interests: Dr. Connolly’s work bridges theoretical economics and policy analysis, particularly in telecommunications regulation and trade policy. She examines how market structures and regulatory frameworks influence innovation, competition, and equitable access to technology. Recent studies include evaluating municipal broadband initiatives, spectrum auction design, and the implications of network neutrality. Grants & Awards: Her grants include NSF funding for spectrum-sharing research and Teagle Foundation support for pedagogical innovation. Her awards highlight both academic excellence and teaching excellence, including recognition from Duke students and national organizations. Labs/Teams: She leads the Spectrum Lab in Economics at Duke, focusing on policy-relevant research in telecommunications. She also contributes to initiatives like the Duke Economic Analytics Laboratory (DEAL).

Liang Zhangمشاهده پروفایل

استادیار

• Artificial Intelligence
• Mobile Edge Computing
• UAV Communications
• +۳ مورد دیگر

Dr. Liang Zhang is an Assistant Professor in the Department of Engineering and Aviation Sciences at the University of Maryland Eastern Shore (UMES). He holds a Ph.D. in Electrical Engineering from New Jersey Institute of Technology (NJIT) and an M.S. in Information and Communication Engineering from the University of Science and Technology of China (USTC). His research focuses on machine learning, mobile edge computing, UAV communications, wireless communications, and IoT, with an emphasis on resource optimization and algorithm design. Education: Ph.D., Electrical and Computer Engineering, NJIT (2014–2020) M.S., Information and Communication Engineering, USTC (2011–2014) B.S., Electronic Science and Technology, Huazhong University of Science and Technology (HUST) Research Highlights: Dr. Zhang has pioneered work on deep reinforcement learning algorithms for UAV-assisted edge computing, caching optimization, and latency reduction in IoT systems. His contributions include the BRIDGES testbed project at George Mason University (GMU), supported by a $2.5M NSF grant, and the development of QoE-optimized frameworks for wireless VR and airborne networks. Awards & Recognition: Outstanding Dissertation Award (NJIT, 2023) Hashimoto Prize (NJIT, 2020) IEEE GLOBECOM Travel Grant (2016) Best Paper Award (IEEE ICNC, 2014) Professional Contributions: He has published 32 peer-reviewed articles and serves as a reviewer for IEEE journals. His work integrates machine learning with networking challenges, addressing practical issues like spectrum sharing in 5G, energy-efficient VM management, and dynamic resource allocation in optical networks.

Markos Anastasopoulosمشاهده پروفایل

دانشیار

• Optical Communications
• Wireless Networks
• Mobile Computing
• +۳ مورد دیگر

Markos Anastasopoulos is Associate Professor at the National and Kapodistrian University of Athens, specializing in optical/wireless networks and mobile computing. His research focuses on 5G/6G network convergence, intent-based management, and AI-driven optimization for telecommunications. Recent publications address THz-optical integration, federated learning in transport networks, and semantic-aware radio systems. Applied work includes intelligent asset management for railways and techno-economic analyses of network deployments. Recognized with best dissertation and best paper awards, his research bridges theoretical networking with industrial applications in transportation and cloud infrastructure.

• Social Psychology
• Autism Research
• Cognitive Psychology
• +۳ مورد دیگر

Dr Daniel Skorich is an Adjunct Lecturer at the School of Psychology, The University of Queensland. His research focuses on social psychology, cognitive processes, and autism. He has collaborated extensively with scholars like S. Alexander Haslam, Tegan Cruwys, and Craig McGarty. Key research areas: self-categorization theory, autism, stereotype threat, hazard perception, central coherence, and social identity. Recent publications analyze autism through self-categorization frameworks, cognitive processing differences, and social dynamics. His work spans theoretical contributions and applied studies on behavior change, such as smoking cessation after plain packaging. He has published in journals like Psychological Review , Journal of Autism and Developmental Disorders , and Addictive Behaviors Reports . No scientific awards or student advisement details were found in the provided texts.

• Wireless Communications
• Cognitive Radio Networks
• Power Allocation
• +۳ مورد دیگر

Mohammed Elmusrati is a Visiting Professor at the Department of Information and Communications Engineering in Aalto University . His research focuses on Wireless Communications , particularly in areas like Cognitive Radio Networks , Power Allocation , and Sensor Networks . Specializes in Fading Channels and Spectrum Sharing for wireless systems Collaborates with researchers in Positioning Systems and Satellite Navigation His recent publications (2022) explore advancements in LEO Satellite-based PNT and Wireless Sensor Network Optimization . Earlier works (2008–2012) include contributions to Multi-Objective Optimization in cellular systems, Power Control in cognitive networks, and Partial Discharge Detection in power systems. He is associated with the Communication Engineering research group and has worked with institutions in Finland and Qatar.

Sangtae Haمشاهده پروفایل

دانشیار

• Machine Learning
• Deep Learning Systems
• Networks
• +۶ مورد دیگر

Sangtae Ha is an Associate Professor in the Computer Science Department at the University of Colorado Boulder. His research focuses on building practical computer systems spanning multiple disciplines, including machine learning/deep learning systems, networks and distributed systems, internet protocols, wireless networks, video streaming, storage systems, and security. He specializes in creating efficient and scalable solutions for real-world computing challenges. His work emphasizes interdisciplinary approaches, bridging theoretical computer science with practical system design. Key areas of exploration include optimizing neural network execution for edge computing, developing adaptive streaming protocols, and enhancing wireless network performance through novel signal processing and spectrum management techniques. Recent projects include frameworks for semantic offloading in neural networks and reinforcement learning-based cloud scheduling. No scientific awards or notable grants are explicitly mentioned in the provided materials. While no formal advisees are listed, his research team likely involves graduate students and collaborators. No dedicated labs or teams are named, though his work aligns with broader university initiatives in computer systems and networking.