جست‌وجوی استاد و پژوهشگر

Ahmed Saeedمشاهده پروفایل

استادیار

• Scalable Computer Networks
• Congestion Control
• Operating Systems
• +۵ مورد دیگر

Ahmed Saeed is an Assistant Professor in the School of Computer Science at Georgia Institute of Technology, specializing in scalable computer networks and systems. His research spans congestion control, operating systems, LEO satellite networks, and formal methods, with a strong record of publications and active mentorship. Education: PhD in Computer Science, Georgia Institute of Technology (2019) Bachelor's in Computer and Systems Engineering, Alexandria University (2010) Postdoctoral Associate, MIT (with Prof. Mohammad Alizadeh) Research Interests: Ahmed's work focuses on the theory, design, and implementation of scalable networked systems. Key themes include: Congestion control algorithms for datacenter and WAN traffic Overload control mechanisms for microsecond-scale RPCs Performance debugging tools for datacenter applications LEO satellite network modeling and policy analysis Formal verification of network protocols and resource schedulers Recent Publications Trend: His 2024-2025 papers emphasize LEO satellite resilience and datacenter performance , with contributions to emergency failover modeling, latency debugging tools, and congestion control protocols. These works combine empirical measurement, formal modeling, and policy recommendations. Awards & Funding: NSF CAREER Award (2024) – LEO satellite variability ($600k) NSF CNS Core Awards (2022) – Edge server stacks & formal verification (total $2.38M) Google Research Award (2022) – Scalable edge systems ($80k) DARPA Risers Top 5 Poster (2022) Spec Tech Award (2023) – Nanomodular electronics routing ($40k) Teaching & Service: He regularly teaches Computer Networking I (CS 3251) and Datacenter Networks & Systems (CS 8803) . Service includes PC roles for SIGCOMM, NSDI, CoNEXT, and Networking area co-chair for JSys. Lab & Students: Ahmed leads an active research group with PhD students Peidi Song, Bhaskar Pardeshi, Sherif Abdelrazek; MS students Dhyey Thummar, Pratyush Sahu, Sammy Kapoor; and undergraduate Demi Lei. Alumni have joined industry leaders like Juniper, Microsoft, and Snowflake.

• Real-Time Control Systems
• Cloud Computing
• Automation of Large-Scale Systems
• +۷ مورد دیگر

Johan Eker is a Professor in Real-Time Control Systems at Lund University's Faculty of Engineering and a Principal Researcher in Cloud Technology at Ericsson Research. He holds a dual affiliation, actively contributing to both academic and industrial research in the domain of control systems and cloud automation. His research interests lie at the intersection of computer science and control theory, with a focus on the automation of large-scale software systems such as cloud services and telecommunications networks. He leverages machine learning and advanced control methodologies to develop intelligent, adaptive, and scalable systems. His work benefits from close collaboration with Ericsson Research, enabling access to real-world data and operational environments for validation and innovation. Johan Eker is involved in cutting-edge research areas including autonomous cloud systems, event-based control, and learning-based control architectures. His contributions support the evolution of resilient, efficient, and self-managing infrastructures in modern computing and networking environments. He is actively engaged in research collaboration between academia and industry, bridging theoretical advancements with practical deployment. His work is supported through partnerships with Ericsson, allowing for real-world testing and implementation of control solutions in cloud and telecom systems. Johan Eker is affiliated with the Department of Control Engineering at Lund University, where his expertise contributes to education and research in systems, control, and real-time computing. He plays a key role in advancing the integration of control theory into modern software and networked systems.

Stephanie Rennaneمشاهده پروفایل

استاد

• Disability Policy
• Labor Economics
• Health Economics
• +۱۰ مورد دیگر

Stephanie Rennane is a Senior Economist at RAND and Professor of Policy Analysis at the RAND School of Public Policy. Her work bridges labor and health economics with a focus on disability policy, social insurance, and military compensation. She leads major research initiatives funded by the National Institute on Minority Health and Health Disparities (NIMHD) and contributes to critical policy evaluations for the Department of Defense and Veterans Affairs. Her research interests center on the economic and social impacts of disability programs, including Social Security Disability Insurance (SSDI), workers’ compensation, and Medicaid. She specializes in analyzing how these programs affect vulnerable populations, particularly children with special health care needs, low-SES families, and military personnel. Her work explores disparities in caregiver burden, insurance coverage, and access to workplace accommodations. The trends in her recent publications reveal a consistent focus on health and labor policy, with increasing attention to military compensation, food insecurity in military families, and systemic reform in disability evaluation. Her research combines rigorous econometric analysis with policy-relevant insights, often using administrative and survey data to assess program effectiveness and equity. Scientific Awards: None listed in the provided text. As a principal investigator on multiple NIMHD and DoD-related grants, Rennane plays a leading role in advising on public policy. Her research has informed congressional inquiries and federal program evaluations. She has not disclosed any formal students or advisees in the material provided. She is involved in research teams at RAND focused on disability policy, military health, and social safety nets. Her work often involves collaboration with interdisciplinary teams analyzing large-scale datasets and evaluating the cost and impact of public programs.

Tim Lynarمشاهده پروفایل

مدرس ارشد

• Cyber Security
• Computer Science
• Machine Learning
• +۶ مورد دیگر

Dr. Tim Lynar serves as a Senior Lecturer at the University of New South Wales Canberra within the School of Systems & Computing. With a strong background in both academic research and industry practice, he has established himself as a leading figure in cyber security and computer science. His work bridges theoretical research with practical applications, focusing on innovative solutions for complex computing challenges across multiple domains including IoT security, machine learning applications in cyber defense, and high-performance distributed systems. Dr. Lynar's research interests span a wide spectrum of cyber security applications, with particular emphasis on the application of machine learning techniques to security challenges and the innovative use of epidemiological approaches to understand and combat cyber threats. His work in modeling & simulation, statistical & data analysis, network & systems administration, and high-performance distributed computing demonstrates his commitment to developing comprehensive security frameworks that address evolving threats in digital environments. The interdisciplinary nature of his research connects computer science with biological modeling approaches, creating novel methodologies for understanding security vulnerabilities. Analysis of Dr. Lynar's recent publications reveals a strong trend toward applying advanced machine learning techniques to cyber security challenges, particularly in IoT environments. His work increasingly integrates epidemiological models with security frameworks, creating a unique approach to threat detection and mitigation. The research spans practical applications in network security, drone systems, and AI security, demonstrating both theoretical depth and real-world applicability. A notable pattern is the consistent application of cutting-edge deep learning architectures like Vision Transformers and Variational Autoencoders to solve specific security problems across diverse domains. IBM Master Inventor (2016) Multiple IBM Innovation Awards (2011-2018) Client Value Outstanding Technical Achievement Awards (2015-2016) High Value Patent Awards (2014-2016) Best Article Award – International Journal of Information Systems & Social Change (2010) Multiple research scholarships from 2007-2010 Dr. Lynar's extensive patent portfolio demonstrates significant industry impact, with numerous issued US patents spanning diverse applications from energy efficient supercomputing to vehicle collision avoidance and drone-based microbial analysis. His research has attracted substantial industry collaboration, particularly with IBM, where he received multiple prestigious awards including the IBM Master Inventor designation. The practical applications of his work are evident in the wide range of patented technologies addressing real-world security and optimization challenges across multiple industries. Dr. Lynar's work spans multiple research domains simultaneously, with active projects in cyber security, drone systems, AI safety, and maritime traffic analysis. His research methodology consistently combines theoretical modeling with practical implementation, often leveraging simulation environments to test and validate approaches before real-world deployment. The interdisciplinary nature of his work creates connections between traditionally separate fields, enabling innovative solutions to complex problems.

• Small Grains Pathology
• Fusarium Head Blight
• Stem Rust Resistance
• +۳ مورد دیگر

Ruth Dill-Macky serves as a Professor in the Department of Plant Pathology at the University of Minnesota, based at Stakman Hall and Borlaug Hall in St. Paul, MN. She maintains an active research program focused on cereal crop diseases with USDA Agricultural Research Service funding, collaborating directly with wheat, barley, and oat breeding initiatives to develop resistant varieties. Her academic credentials include: PhD in Botany-Plant Pathology from University of Queensland, Australia (1993) BS in Botany-Plant Pathology (Honours, First Class) from University of Queensland, Australia (1984) BS in Botany and Biochemistry from University of Queensland, Australia (1983) Professor Dill-Macky's research centers on economically devastating diseases of small grains, particularly Fusarium head blight, stem rust, and bacterial leaf streak. Her program develops resistance screening techniques, analyzes inheritance patterns of resistance traits, and conducts epidemiological studies on pathogen spread under varying environmental conditions. She prioritizes translating molecular insights into practical breeding solutions for Minnesota growers. Recent publications (2023-2025) reveal intensified focus on molecular characterization of Fusarium resistance mechanisms and Ug99 stem rust threats, alongside emerging bacterial disease challenges. Her work integrates genomics, field trials, and germplasm screening to address yield impacts from pathogens like Xanthomonas translucens, with strong emphasis on developing deployable resistance strategies for cereal production systems. Scientific awards: No specific awards documented in the provided materials She has secured 67 grants as Principal Investigator, primarily through USDA Agricultural Research Service, with active projects extending to 2026. Current work includes molecular characterization of Fusarium head blight, stem rust evaluation in oats, and bacterial leaf streak management. Her program has generated 96 research outputs and one major barley genomics dataset. Professor Dill-Macky leads a multidisciplinary research team collaborating with breeders and USDA scientists, operating field nurseries and molecular labs focused on pathogen virulence and host resistance mechanisms in cereal crops across Minnesota's agricultural landscape.

• Renewable Energy
• Solar Thermal Energy
• Energy Storage
• +۹ مورد دیگر

Dr Leok Lee is a Lecturer in the School of Electrical and Mechanical Engineering at the University of Adelaide . He is also an active member of the Centre for Energy Technology , contributing to cutting-edge research in renewable energy systems. Research Interests: Renewable energy systems, with a focus on solar thermal energy and energy storage. System integration and optimisation of complex transient energy systems. Computational fluid dynamics (CFD) and experimental design for energy applications. Decarbonisation of heavy industry through clean energy technologies. His research spans from fundamental studies in heat transfer and fluid mechanics to applied engineering solutions for decarbonising industrial processes. He has led and contributed to projects funded by ARENA and HILT CRC, targeting the integration of concentrated solar thermal energy into industrial applications such as the Bayer Alumina process. Supervision & Mentorship: Dr Lee is eligible to supervise Masters and PhD students and actively mentors undergraduate, Masters, and PhD candidates. He encourages prospective students to contact him via email to discuss research opportunities. Contact: Email: leok.lee@adelaide.edu.au Location: Room 3, Engineering South, North Terrace Campus

Pascal Hitzlerمشاهده پروفایل

استاد

• Neurosymbolic Artificial Intelligence
• Semantic Web
• Knowledge Graphs
• +۷ مورد دیگر

Pascal Hitzler is a University Distinguished Professor and holds the endowed Lloyd T. Smith Creativity in Engineering Chair at Kansas State University's Department of Computer Science, Carl R. Ice College of Engineering. He directs the Center for Artificial Intelligence and Data Science (CAIDS) and the Institute for Digital Agriculture and Advanced Analytics (ID3A). Previously, he held roles at Wright State University, Karlsruhe Institute of Technology, and TU Dresden. His research focuses on neuro-symbolic AI, semantic web technologies, knowledge graphs, and ontology engineering. Education: PhD in Mathematics (2001, University College Cork), Diplom in Mathematics (1998, University of Tübingen). Academic achievements include over 400 publications, founding editor roles for journals like Neurosymbolic Artificial Intelligence , and leadership in organizations like the Neural-Symbolic Learning and Reasoning Association. Research interests include AI explainability, knowledge representation, and interdisciplinary applications of semantic technologies. He leads the DaSe Lab for Data Semantics, advancing projects like the KnowWhereGraph and Enslaved.org Hub Knowledge Graph. His work bridges symbolic AI with neural networks, emphasizing practical applications in agriculture, environmental science, and historical data preservation. Grants and collaborations span academic, industrial, and international partners. He has advised numerous students and researchers, contributing to both theoretical advancements and real-world semantic systems deployments.

• Biochemistry
• Biotechnology
• Renewable Energy
• +۴ مورد دیگر

Matthew C. Posewitz is a Professor in the Department of Chemistry at Colorado School of Mines. His research focuses on bioenergy production from microalgae, particularly hydrogen, lipids, and starch metabolism, with applications in sustainable fuel technologies. Education: BA in Chemistry from Willamette University, PhD from Dartmouth College, Postdoctoral Study at University of Utah His work explores: Hydrogenase enzymes for biohydrogen production Starch and lipid metabolic pathways in algae ‘Omic’ approaches to algal metabolism Saline-adapted phototrophs CRISPR/Cas9 genome editing in marine microalgae Metabolic flux regulation for bioenergy applications The 15 most recent publications highlight advancements in CRISPR-based strain engineering, pigment modulation, algal productivity optimization, and co-culture systems for bioenergy. Key keywords include Biotechnology , Photosynthesis , Genetic Engineering , and Biochemical Metabolism .

Marco Piconeمشاهده پروفایل

دانشیار

• Distributed Systems
• Internet of Things
• Edge Computing
• +۳ مورد دیگر

Marco Picone is an Associate Professor at the Department of Sciences and Methods for Engineering (DISMI) of the University of Modena and Reggio Emilia. He leads the Distributed and Pervasive Intelligence (DIPI) Group and holds a PhD in Information Technology from the University of Parma. His postdoctoral research at the University of Parma (2012-2015) and a visiting scholar position at the University of Cambridge (2011) further enriched his expertise. He is nationally qualified as an Associate Professor by MIUR (2020). Education: PhD in Information Technology, University of Parma (Italy) M.Sc. (cum Laude) in Computer Engineering, University of Parma Visiting Researcher, NetOS Group, University of Cambridge (UK) His research focuses on Distributed Systems , IoT , Edge Computing , and Digital Twins , emphasizing their applications in smart industries and cities. He has supervised postdocs (e.g., Matteo Martinelli) and PhD students (e.g., Enrico Rossini) on topics like Digital Twin Continuum and Edge-Cloud Systems. Teaching spans courses on Intelligent IoT , Distributed IoT Software Architectures , and Edge Computing , with a focus on lab-based learning and industry-relevant projects. He actively contributes to open-source frameworks like the White Label Digital Twin (WLDT) and collaborates on initiatives such as the Web of Digital Twins (WoDT). Research collaborations include projects on smart city data fusion, livestock waste management, and Industry 5.0 human-centric systems. His work bridges theoretical advancements with practical implementations in cyber-physical environments.

Ammar Mostafaمشاهده پروفایل

استاد

• Computer Network Architectures
• Mobile Cloud Computing
• Overlay Networks
• +۷ مورد دیگر

Mostafa Ammar is a Regents' Professor and Interim Chair of the School of Computer Science at the Georgia Institute of Technology. He has held leadership roles including Associate Chair (2006–2012) and has been a faculty member since 1985. His research focuses on network architectures, protocols, and services, with contributions to mobile cloud computing, network virtualization, and disruption-tolerant networks. He has advised 39 Ph.D. students and secured funding from agencies like NSF, DARPA, and industry partners such as Cisco and IBM. Education : S.B. and S.M. from MIT, Ph.D. from the University of Waterloo. Research Interests : Network architectures, mobile cloud computing, overlay networks, video streaming, and network simulation. His work bridges theoretical advancements with practical implementations, emphasizing scalable and efficient network solutions. Publications : Over 214 publications with a focus on network virtualization, mobile edge computing, and distributed systems. Recent work explores encrypted traffic analysis and femto-cloud resource sharing. Awards : ACM/IEEE Fellowships (2002–2003), Best Paper Awards (2012, 2018), and multiple teaching excellence recognitions. Service : Editor-in-Chief of IEEE/ACM Transactions on Networking (1999–2003), conference co-chair roles, and steering committee memberships. Advising & Grants : Mentored 39 Ph.D. students and secured multi-million-dollar grants. His research has influenced industry standards and academic curricula. Labs/Teams : Active in Georgia Tech’s networking research groups, contributing to open-source network simulators and collaborative projects with global institutions.

Benjamin Garnerمشاهده پروفایل

دانشیار

• Consumer Behavior
• Social Media Marketing
• Wine Tourism
• +۴ مورد دیگر

Benjamin Garner serves as Associate Professor of Marketing in the College of Business at the University of Central Arkansas (UCA), maintaining an active research program from his office in COB 312I. His contact information includes email bgarner3@uca.edu and phone (501) 450-5329, reflecting ongoing institutional affiliation. Dr. Garner's research centers on consumer behavior in experiential marketing contexts with three primary thrusts: Social media engagement dynamics in wine tourism and farmers' markets Authenticity construction through scarcity and sustainability messaging Innovative business education pedagogy including flipped classroom methodologies Analysis of his 2021-2025 publications reveals consistent methodological emphasis on ethnographic observation and text-mining of user-generated content across platforms like Facebook, Instagram, and Twitter. His work uniquely bridges agricultural marketing contexts with digital communication strategies, particularly examining how language structures influence consumer perceptions of authenticity. No scientific awards or student advising information appears in available records. Similarly, grant funding details and laboratory affiliations remain undocumented in the provided materials, though his publication output indicates sustained research activity across multiple scholarly domains.

Roderich Großمشاهده پروفایل

استاد

• swarm robotics
• multi-robot-systems
• modular and reconfigurable robotics
• +۱ مورد دیگر

Professor Roderich Groß is a faculty member at Technical University of Darmstadt, where he serves as Head of the RCPS Lab (Robotics, Control, and Physical Systems Laboratory). His extensive research career spans over two decades with publications dating back to 2006, establishing him as a leading figure in swarm robotics. His work appears in top-tier robotics journals including IEEE Transactions on Robotics, Nature Communications, and The International Journal of Robotics Research. Professor Groß's research focuses on swarm robotics, multi-robot systems, modular and reconfigurable robotics, and human-robot interaction. His work explores how groups of relatively simple robots can collectively perform complex tasks through decentralized control mechanisms. He investigates modular systems that can adapt their physical structure to different tasks and develops human-robot interaction paradigms that enable effective collaboration between humans and robot swarms. His research has practical applications in search and rescue, environmental monitoring, construction, and industrial automation. Analysis of Professor Groß's recent publications reveals a clear evolution from foundational swarm behaviors toward increasingly sophisticated applications. His work addresses critical challenges including energy management in robot swarms (CapBot), multi-operator control interfaces, heterogeneous systems for industrial applications, and bio-inspired collective behaviors. His research bridges theoretical swarm intelligence principles with practical implementation on physical robot platforms like Kilobots, with recent work integrating artificial intelligence techniques such as language models for swarm control. As Head of the RCPS Lab, Professor Groß leads a productive research group with extensive international collaborations. The lab works with various robot platforms focusing on both theoretical modeling and practical implementation of swarm behaviors, contributing significantly to advancing the field of swarm robotics from theoretical foundations to real-world applications.

• Spatial Databases
• Geoinformatics
• Internet of Things (IoT)
• +۵ مورد دیگر

Anastasios Zafeiropoulos serves as Assistant Professor at Harokopio University of Athens, specializing in Spatial Data Management and Analysis within the Postgraduate Studies Program for “Applied Geography and Spatial Management” (Direction C: Geoinformatics). His academic role encompasses teaching “Spatial Databases” and advancing research at the intersection of geospatial technologies and distributed computing systems. His research program focuses on Spatial Databases, Internet of Things (IoT), Cloud/Edge Computing, and 6G Network Orchestration, with significant extensions into Knowledge Graph applications for Sustainable Development Goals (SDGs) and socio-emotional learning in education. Key innovations include the EduCardia methodology for student competency assessment and frameworks for climate vulnerability analysis using knowledge graphs. Analysis of his 2024-2025 publications reveals three dominant thrusts: (1) AI-driven orchestration of 6G services across the computing continuum using reinforcement learning; (2) Knowledge Graph applications for SDG interlinkage analysis and materials science; (3) EU-funded IoT/Edge Computing project ecosystems. His work consistently bridges theoretical networking concepts with practical sustainability and educational applications. Dr. Zafeiropoulos actively contributes to EU-funded initiatives in IoT and Edge Computing standardization, particularly through AIOTI WG Standardisation. His project portfolio includes NEPHELE multi-cloud ecosystem development and O-RAN slice admission control research, demonstrating strong industry-academia collaboration in next-generation networking. He leads the development of innovative tools including Palindrome.js for distributed system visualization and the EmoSocio open-access emotional intelligence model, reflecting his commitment to translating research into practical educational and environmental solutions.

• Mobile and Wireless Networking
• Information and Communication Technologies for Development (ICTD)
• Network Performance Analysis
• +۳ مورد دیگر

Elizabeth M. Belding is a Professor in the Department of Computer Science at the University of California, Santa Barbara (UCSB) and Associate Director of the Center for Information Technology and Society. She holds a Ph.D. (2000) and M.S. (1997) in Electrical and Computer Engineering from UCSB. Co-developer of AODV routing protocol (basis for IEEE 802.11s and Zigbee) Director of the Mobility Management and Networking (MOMENT) Laboratory Associate Dean and Faculty Equity Advisor, College of Engineering Her research focuses on mobile and wireless communication networks , including network performance analysis , digital equity , and information and communication technologies for development (ICTD) . She specializes in improving internet access for marginalized communities including Native American reservations, refugee camps, and rural areas in Zambia, South Africa, and Mongolia. Recent research trends include: Accurate broadband measurement in the U.S. using crowdsourced data Development of wireless solutions for underserved regions Analysis of 5G performance variability and GEO satellite latency Mapping cellular network evolution and infrastructure criticality Evaluating federal broadband funding programs (CAF, BEAD, NSF) Quantifying video streaming quality of experience (QoE) Scientific honors include: ACM Fellow (2018) IEEE Fellow (2014) AAAS Fellow ACM SIGMOBILE Test of Time Award (2018) NCWIT Harrold and Notkin Award (2015) UCSB Outstanding Graduate Mentor Award (2012) IRTF Applied Networking Research Prize (2024) She has advised 22 Ph.D. graduates from the MOMENT Lab, including Jiamo Liu (2024) and Udit Paul (2023). Current research receives funding from NSF, Bill & Melinda Gates Foundation, and industry partners like ViaSat, with emphasis on broadband deployment analysis and network solutions for challenged environments.

Kerri Rodriguezمشاهده پروفایل

استادیار

• Human-Animal Interaction
• Assistance Dogs
• Therapy Dogs
• +۷ مورد دیگر

Kerri Rodriguez is an Assistant Professor at the University of Arizona , affiliated with both the Department of Psychology and the College of Veterinary Medicine . Her research focuses on the bi-directional effects of human-animal interactions on health and wellbeing. B.S. in Evolutionary Anthropology & Biology, Duke University M.S. in Marine Mammal Science, University of St Andrews Ph.D. in Human-Animal Interaction, Center for the Human-Animal Bond at Purdue University Research Interests include the roles of assistance dogs, therapy dogs, and pet dogs in supporting individuals with disabilities or mental health conditions, psychophysiological mechanisms underlying human-dog interactions, and the impact of the human-animal bond across diverse settings. Publication Trends show a focus on PTSD treatment via service dogs, autism spectrum disorder support, psychophysiological stress responses, and methodological challenges in human-animal interaction research, with a strong emphasis on military veterans and pediatric populations.