جست‌وجوی استاد و پژوهشگر

Erich Kistlerمشاهده پروفایل

استاد

• Mediterranean Archaeology
• Classical Archaeology
• Ancient Greek Society
• +۶ مورد دیگر

Erich Kistler is a full professor of Classical Archaeology at the Institute of Archaeology , Leopold Franzens University Innsbruck , since 2010. His career spans roles at the University of Zurich, University of Bern, Ruhr University Bochum, and declined an offer from Heidelberg University in 2012. He directs the Innsbruck Monte Iato Project in Sicily and has led interdisciplinary initiatives like the doctoral program 'Figuration Counterculture.' Current: Professor at University of Innsbruck Past: Professor at Ruhr University Bochum (2008-2010), Co-Director of Ietas excavation (2006-2008) His research focuses on the Iron Age Mediterranean , emphasizing elite 'orientalization,' ritual consumption, and local-global dynamics. He explores visual communication in archaic/classical vases and how barbarian representations convey cultural norms. Recent publications analyze the indigenous settlement of Monte Iato via ethnoarchaeometric methods, pottery production trends, and Persian cultural influences. His projects, funded by FWF and DFG, include 'Zwischen Aphrodite-Tempel und spätarchaischem Haus' and 'Töpfers Reaktionen auf lokale Bedürfnisse.' 2024: De-Monumentalisation of Chiefly Houses 2023: Neutron Activation Analysis applications 2021: Ritual abandonment and politics of indigeneity Scientific awards include the FWF Wissenschaftskommunikationspreis (2021-2022) and Forschungspreis Südtiroler Sparkasse (2016). He co-edits ATRIUM and contributes to international journals and conferences.

Amanda Chicoliمشاهده پروفایل

مدرس

• Systems Neurobiology
• Neuroethology
• Collective Behavior
• +۳ مورد دیگر

Amanda Chicoli is a Lecturer in the Psychology Department at the University of Maryland, College Park. She serves as the research coordinator for the neuroscience major, faculty advisor for the neuroscience minor, and course director for NEUR305: Neural Systems and Circuits. Her roles include teaching multiple courses such as PSYC300 (Research Methods in Psychology), PSYC409 (Topics in Neuroscience), and PSYC489R (Human & Animal Intelligence). Previously, she was a postdoctoral fellow at the Carnegie Institution for Science, where she studied zebrafish dorsal habenulae using molecular, genetic, and whole-brain imaging techniques. Chicoli holds a PhD in Neuroscience and Cognitive Science (2016) from the University of Maryland and a BS in Biology and Psychology from Brooklyn College (2010). Her research focuses on systems neurobiology, neuroethology, and collective behavior, with applications to bio-inspired engineering. She is deeply committed to science education and curriculum development, particularly for neuroscience programs. Her work integrates computational modeling, experimental neuroscience, and immersive VR technology to explore animal behavior and decision-making in groups. Her research interests emphasize understanding how individual and collective behaviors emerge from neural and environmental interactions. Key projects include analyzing rheotaxis (current-following) in fish schools, modeling group decision-making, and investigating predator avoidance strategies. She has contributed to studies using zebrafish as a model organism to explore brain connectivity and function. Chicoli’s work bridges theoretical models with empirical observations, offering insights into both fundamental neuroscience and applied engineering challenges.

• Network Optimization
• Quantum Communication
• Machine Learning
• +۶ مورد دیگر

Dr. Avishek Nag is an Assistant Professor in the School of Computer Science at University College Dublin, Ireland. His work focuses on network optimization, quantum communication, machine learning, and 6G technologies. He holds a PhD from the University of California, Davis, and has over 100 publications in journals, conferences, and book chapters. Education: B.E. (Honours) in Computer Science from Jadavpur University (2005) M.Tech. from Indian Institute of Technology Kharagpur (2007) Ph.D. in Computer Science from University of California, Davis (2012) Research Interests: Quantum Networks & Key Distribution (QKD) 6G Networks & Explainable AI IoT Security & Edge Computing Optical Network Optimization Machine Learning for Biometrics & Healthcare Recent Publications: Recent work includes hybrid noise modeling for quantum satellite communication, XAI-driven network slicing for 6G, and ECG-based biometric systems. His research bridges theoretical advancements with practical implementations in telecommunications and cybersecurity. Awards: 2008 IEEE Advanced Networks Best Paper Award Grants & Leadership: Outreach Lead for IEEE UK & Ireland Blockchain Group Coordinated Cross-Atlantic EU-US testbed experiments Teaching: Teaches Distributed Systems, Wireless Communications, and Software Engineering at UCD.

Seunghan Leeمشاهده پروفایل

استادیار

• Simulation Methodologies
• Optimization
• Stochastic Processes
• +۷ مورد دیگر

Seunghan Lee is an Assistant Professor in the Industrial and Systems Engineering Department at Mississippi State University (MSU). He holds a Ph.D. in Systems & Industrial Engineering from the University of Arizona (2019), an M.S. in Operations Research from Georgia Tech (2015), and dual M.S. and B.S. degrees in Industrial Engineering from Seoul National University (2008 and 2006). Prior to MSU, he served as an Assistant Professor of Teaching at SUNY Buffalo. Education: Ph.D., Systems & Industrial Engineering, University of Arizona (2019) M.S., Operations Research, Georgia Institute of Technology (2015) M.S., Industrial Engineering, Seoul National University (2008) B.S., Industrial Engineering, Seoul National University (2006) Research Interests: His work focuses on simulation methodologies integrating optimization and stochastic processes, particularly for socio-economic decision support systems under uncertainty. Applications include disaster management, homeland security, smart cities, and healthcare operations. Key techniques include agent-based simulation (ABS), discrete-event simulation (DES), Bayesian optimization, and statistical computing. Awards: Best Paper Award, IISE Annual Conference (2016, 2018) Outstanding Graduate Teaching Assistant Award, University of Arizona (2019) Advising & Grants: While no student advisees are listed, his research has been supported through collaborations on projects involving disaster management frameworks, smart surveillance systems, and medical training simulations. His work often involves interdisciplinary teams addressing real-world operational challenges. Labs & Teams: Engages in collaborative projects leveraging digital twins, dynamic data-driven applications (DDDAMS), and hybrid simulation models for applications in healthcare, security, and urban planning.

• Artificial Intelligence
• Bioinformatics
• Cyberinfrastructure
• +۱۲ مورد دیگر

Alex Feltus is a Professor in the Department of Genetics and Biochemistry at Clemson University's College of Science. He also serves as Core Faculty in the Biomedical Data Science and Informatics program and as a Faculty Member at the Clemson Center for Human Genetics. With a Ph.D. in Cell Biology from Vanderbilt University (2000) and a B.Sc. in Biochemistry from Auburn University (1992), Feltus has established himself as a leading researcher at the intersection of computational biology and genomics. His research spans artificial intelligence, bioinformatics, cyberinfrastructure, high-performance & cloud computing, systems biology, tumor genomics, medical genetics, crop genetics, genome assembly, systems genetics, and paleogenomics. His work focuses on revealing genomic mechanisms underlying phenotype expression, with particular emphasis on identifying biomarker systems that distinguish between biological states such as normal versus tumor tissues. Feltus's laboratory employs software engineering and computational biology techniques to make molecular discoveries in both human and plant biological systems. They develop elastic advanced compute systems for robust genomics workflows, enabling small labs to perform innovative petascale computational biology. His recent publications demonstrate a strong focus on gene expression analysis, genome assembly, Neanderthal DNA studies, plant genomics (particularly oak and Medicago), and AI applications in genetic research. Among his achievements are the development of open source software, completion of multiple NSF grants, and training of numerous undergraduate, master's, and doctoral students. He is also the co-founder of Praxis AI LLC, through which he extends his 27 years of bioscience research experience to scale computational biology skilling to thousands of learners worldwide via virtual courses, biohackathons, podcasts, and digital learning solutions. Feltus teaches several courses including Bioinformatics, Medical Bioinformatics, Advanced Medical Bioinformatics, Digital Biology, Computational Genomics, Biomedical Informatics, Next-Generation Sequence Analysis, and Perl for Bioinformatics.

Armando Barretoمشاهده پروفایل

استاد

• Digital Signal Processing
• Biomedical Signal Processing
• Adaptive Digital Signal Processing
• +۵ مورد دیگر

Armando Barreto is a Professor in the Department of Electrical & Computer Engineering at Florida International University (FIU). He holds a Ph.D. in Electrical Engineering from the University of Florida (1993), an M.S.E.E. from FIU (1989), and a Mechanical-Electrical Engineering degree from the National Autonomous University of Mexico (1987). His research focuses on digital signal processing with applications in biomedical systems, including EEG analysis, adaptive algorithms, neural networks, and real-time embedded systems. He also explores human-computer interaction through sensor technologies like MEMS, inertial measurement units, and multi-touch interfaces. His work addresses accessibility challenges for visually impaired users through dynamic image precompensation and assistive technologies. Key contributions include innovations in signal denoising, affective computing via pupil dynamics analysis, and multimodal data fusion for early detection of neurodegenerative diseases like Alzheimer’s. His research bridges theoretical signal processing with practical applications in healthcare, virtual reality, and wearable devices. Barreto’s publications span over three decades, demonstrating sustained leadership in sensor-based systems, medical signal processing, and computational neuroscience. He collaborates with interdisciplinary teams to advance technologies addressing clinical and accessibility challenges.

Domenico Striccoliمشاهده پروفایل

دانشیار

• Internet of Things
• Network Security
• Information Centric Networking
• +۳ مورد دیگر

Dr. Domenico Striccoli is an Associate Professor in the Department of Electrical and Information Engineering at the Polytechnic University of Bari, Italy. He holds a Dr. Eng. Degree (2000) and Ph.D. in Electronic Engineering (2004) from Politecnico di Bari. His office contact is +39 080 5964225. Research focuses on advanced networking technologies: Internet of Things architectures and security Information Centric Networking paradigms Low Power Wide Area Networks optimization Nanocommunication systems Network performance modeling and evaluation Awards include Best Impact Contribution runner-up at RESTART Workshop (2024) and 2nd Best Paper at ICT-DM Conference (2023). Teaching includes Multimedia Systems and Telecommunication Signal and System for Aerospace courses.

Antonio Petrosinoمشاهده پروفایل

پژوهشگر ارشد

• Software-Defined Networking
• Satellite Communication
• NarrowBand - IoT
• +۳ مورد دیگر

Antonio Petrosino is a Research Fellow at the Department of Electrical and Informational Engineering, Politecnico di Bari. His research focuses on Software-Defined Networking, Satellite Communication, and NarrowBand-IoT technologies. Education: Bachelor of Engineering in Computer Science and Automation (2016), Politecnico di Bari Master in Telecommunication Engineering (2020), Politecnico di Bari His work spans network optimization, security frameworks for 6G satellite deployments, and integration of UAVs in IoT-satellite systems. Recent publications highlight advancements in trust dissemination, NB-IoT over LEO satellites, and hybrid terrestrial-non-terrestrial architectures. Research Collaborations: Co-authorship with teams from Politecnico di Bari, University of Naples, and international institutions.

Jonathan H. Amsbaryمشاهده پروفایل

استاد

• Communication
• Small Group Communication
• Organizational Communication
• +۵ مورد دیگر

Jonathan H. Amsbary is a Professor and Director of the Graduate Program at the University of Alabama at Birmingham (UAB), where he has been a faculty member since 1988. He is affiliated with the Department of Communication Studies within the College of Arts and Sciences. Education: B.A. in Speech Communication/Psychology from the University of New Mexico M.A. in Speech Communication from Indiana University Ph.D. in Speech Communication from Indiana University Professor Amsbary specializes in applied communication and persuasion, with specific interests in how communication functions in small groups, organizations, and virtual realities. His research spans both traditional communication contexts and more recent explorations into popular culture, particularly western movies and western movie actors. He has published extensively in communication journals and co-authored multiple books, employing both quantitative and qualitative research methods in his investigations. His publication record demonstrates significant scholarly contributions across multiple domains of communication studies. His works examine topics ranging from interviewing techniques and sports communication to the rhetoric of crisis events and film studies, showing an evolving research trajectory that bridges traditional communication theory with contemporary cultural phenomena. Professor Amsbary teaches undergraduate courses in Research Methods, Public Speaking, Small Group Communication, and Interviewing. At the graduate level, he teaches Communication Models, Small Group Communication, and Organizational Communication, reflecting his commitment to developing communication skills across various contexts. Throughout his career at UAB, Professor Amsbary has witnessed the university's transformation from a commuter institution to a world-class research university. He has been instrumental in the development of academic programs, including the nationally ranked Communication Management Master's program, while maintaining the institution's commitment to excellence and diversity.

• Cryptography
• Network Security
• Distributed Systems
• +۲ مورد دیگر

Antonio Nicolosi is an Associate Professor of Computer Science at Stevens Institute of Technology's Schaefer School of Engineering, specializing in cryptography and secure distributed systems. His NSF CAREER award-winning research explores lattice-based cryptography, non-commutative cryptographic protocols, and future internet architectures like NEBULA. Education PhD in Computer Science, New York University MS in Computer Science, Università di Catania Research Focus: Develops provably secure cryptographic systems using group-theoretic approaches, with applications in network security and privacy-preserving protocols. Honors: NSF CAREER Award (2014), EU Marie Curie Fellowship. Recent publications address pseudorandom functions, broadcast steganography, and internet architecture security. Teaches courses including Foundations of Cryptography and Secure Systems. Professional Service: Program Director for Cybersecurity Masters, editorial roles, and conference organization. Research funded by NSF, Air Force Research Lab, and DOD.

• Fluid Antenna Systems
• Reconfigurable Intelligent Surfaces
• Integrated Radio-Sensing
• +۴ مورد دیگر

Dr. Tuan Anh Le is a Senior Lecturer in Design Engineering at Middlesex University's Faculty of Science and Technology, Department of Design Engineering & Mathematics. He holds a B.Eng. and M.Sc. in Electronics and Telecommunications from Hanoi University of Technology, and a Ph.D. from King's College London funded by the UK's EPSRC and Mobile VCE scholarship. His research focuses on developing resource allocation strategies for next-generation wireless networks using convex optimization and nature-inspired intelligence. Key areas include reconfigurable antenna systems, integrated sensing-communications, PHY-layer security, and energy-efficient 5G/6G architectures. Recent publications demonstrate strong focus on beamforming optimization techniques using metaheuristic algorithms (especially Firefly Algorithm), cognitive radio systems, and dual-function radar-communications. Work frequently appears in IEEE Transactions journals and major telecom conferences. Supervises PhD candidates in antenna design and wireless systems. Teaches modules including Digital Signal Processing, System Design, and Mobile Communications. Previously contributed to EU-funded projects on green radio technologies.

Thomas Kunzمشاهده پروفایل

استاد

• Internet of Things
• Smart Grid/Smart City
• Mobile computing systems
• +۷ مورد دیگر

Roles & Affiliations: Professor in the Department of Systems and Computer Engineering at Carleton University, Ottawa. Holds a Dr.-Ing. from the Technical University of Darmstadt (Germany). Active in research and academic leadership, including serving on Carleton's Board of Governors (2012-15). Education: Dr.-Ing., Technical University of Darmstadt, Germany (1994) Postdoctoral experience: University of Waterloo (1994-1997) Research Focus: Internet of Things (Smart Grid/City) Mobile computing systems & wireless networks Software-defined networking (SDN) and network function virtualization (NFV) Machine learning applications in networking Adaptive mobile systems and tactical radio networks Key Achievements: World's Top 2% Most-Cited Scientists (2022, Stanford-Elsevier) Top 0.5% Global Scholars (2024, ScholarGPS) Carleton Research Achievement Awards (2012-13, 2004-05) Carleton Graduate Mentoring Award (2010) Advising & Labs: Supervised numerous graduate students (see linked list) Developed NetAnalyzer , an open-source network analysis tool

Wei Xuمشاهده پروفایل

استاد پژوهشی

• Artificial Intelligence for Science
• Explainable and Trustworthy AI
• Machine Learning
• +۶ مورد دیگر

Wei Xu is a Research Professor in the Department of Computer Science at Stony Brook University and a Computational Scientist leading the Trustworthy Artificial Intelligence (TAI) group at Brookhaven National Laboratory's Artificial Intelligence Department. She holds a Ph.D. from Stony Brook University and M.S./B.S. degrees from Zhejiang University. Her research bridges artificial intelligence, high-performance computing, and scientific visualization, with current focus areas including explainable AI for scientific applications, quantum computing performance, and neural representations for ensemble simulations. Her work spans: AI/ML for Science : Developing trustworthy AI models for climate prediction, quantum computing, and medical diagnostics. Visual Analytics : Creating novel tools for multivariate volume visualization and quantum state representation. High-Performance Computing : Optimizing exascale workflows and performance analysis. Recent publication trends (2021-2025) demonstrate strong emphasis on explainable AI techniques for scientific domains, neural representations for data efficiency, and visualization methods for complex scientific data. Her papers frequently appear in top venues like TVCG, ICLR, and IEEE VIS. Awards & Honors: Women@Energy Showcase (2014) Best Paper Awards: PacificVis (2025), ISAV/SC20 (2020), Fully3D Workshop (2009) Spotlight Presentation at ICLR TCCML Workshop (2025) She secures funding through DOE BER/SciDAC programs and BNL initiatives (LDRD, NSLSII DSSI). As Trustworthy AI Group Lead, she oversees projects integrating AI with scientific infrastructure. She actively contributes to conferences as committee member (SC23/VIS24) and session chair (AAAI24, SC23).

Marc Steinbergمشاهده پروفایل

استاد

• digital platforms
• platform economics
• media industries
• +۱۲ مورد دیگر

Marc Steinberg is a Professor in the Department of Film Studies at Concordia University and director of The Platform Lab , a research group dedicated to studying digital platforms. His research spans platform economics, media industries, Japanese anime, transmedia storytelling, and digital culture, with a focus on the intersection of convenience, logistics, and platform capitalism. Education: PhD, Brown University MA, McGill University BA, McGill University Steinberg's work traces the historical and industrial evolution of media platforms, including the role of Japanese media mix practices in anime franchising, the rise of super apps in digital Asia, and the transformation of retail through convenience stores. He also explores the conceptual genealogy of platform capitalism, linking it to automotive and logistical systems like Toyota’s just-in-time model. Recent projects analyze how convenience functions as an aesthetic and economic driver in the platform economy, supported by grants such as the Volkswagen Foundation’s Smartness as Wealth . His research has been recognized with the ITRA-BTHA Book Prize (2014) and the Japan Society for Animation Studies Book Prize (2015). Scientific Awards: ITRA-BTHA Book Prize (Senior Prize), International Toy Research Association (2014) Japan Society for Animation Studies Book Prize (2015) Steinberg teaches courses on platform cultures, digital media, anime history, and media theory. He has co-edited volumes like Media Theory in Japan (Duke University Press, 2017) and In/Convenience: Inhabiting the Logistical Surround (Institute of Network Cultures, 2024), and has organized conferences including the Society of Animation Studies (2018) and Media Theory in Japan (2013).

• Telecommunications
• Network Optimization
• Artificial Intelligence
• +۳ مورد دیگر

Professor Nancy Alonistioti is a faculty member at the Department of Informatics and Telecommunications, National and Kapodistrian University of Athens. Her research focuses on advanced telecommunications technologies, including 5G/6G networks, AI-driven optimization, and network management systems. She leads studies in areas such as distributed learning frameworks for QoS prediction, fuzzy logic applications in emergency systems, and energy-efficient federated learning for wireless networks. Her work emphasizes network programmability, self-organizing mechanisms, and autonomic network management. Key contributions include the development of SIM+, a comprehensive information model for beyond 5G networks, and the Distinqt framework for privacy-aware learning in mobile systems. She explores applications in vehicular communications, maritime networks, and Industry 4.0 transformations through 5G capabilities. Professor Alonistioti’s research also addresses challenges like context-aware profiling, dynamic infrastructure-as-a-service paradigms, and genetic algorithm-based resource allocation in edge networks. Her publications span over two decades, reflecting a deep engagement with evolving network architectures and technologies.