جست‌وجوی استاد و پژوهشگر

• Environmental Economics
• Resource Economics
• Ecosystem Services
• +۴ مورد دیگر

Weizhe Weng is an Assistant Professor in the Agricultural Food and Resources Economics department at the University of Florida's Institute of Food and Agricultural Sciences. Dr. Weng specializes in environmental and resource economics with a focus on ecosystem services, water quality management, and agricultural economics. Their research bridges economic theory with environmental science to address pressing issues in natural resource management. Dr. Weng's research interests span environmental economics, resource economics, and ecological applications. Their work examines the economic dimensions of water quality policies, ecosystem services valuation, and agricultural management practices. A significant portion of their research focuses on integrated assessment modeling that connects human decision-making with environmental outcomes, particularly in freshwater systems. They investigate how economic incentives can be aligned with conservation goals through mechanisms like Payments for Ecosystem Services (PES) programs. The publication record demonstrates consistent contributions to high-impact journals in environmental economics, resource management, and interdisciplinary environmental science. Recent work shows increasing focus on integrated modeling approaches that couple economic and biophysical systems, with particular attention to water quality management in Florida and the Midwest. Dr. Weng frequently collaborates with interdisciplinary teams spanning economics, ecology, limnology, and environmental science. Dr. Weng currently holds two active research grants: 'Architected Materials for Extreme Resistance in Coastal Applications (AMERICA)' and 'Conservation Hub for the Economic Empowerment of Rural Stakeholders (CHEERS)'. Their research has practical applications for policymakers, extension agents, and landowners seeking to balance agricultural production with environmental conservation.

• Computer Networking
• Network Security
• Software-Defined Networking
• +۴ مورد دیگر

Laurent Vanbever is an Associate Professor at ETH Zürich's Department of Information Technology and Electrical Engineering and heads the Computer Engineering and Networks Lab. His research focuses on networking systems, with a strong emphasis on network security, routing protocols, software-defined networking (SDN), and distributed systems. He explores topics such as BGP convergence, energy-efficient router designs, and mitigating routing attacks on cryptocurrencies. His work bridges theoretical advancements with practical implementations, addressing challenges in network scalability, resilience, and sustainability. Key research areas include network verification, programmable packet processing (P4), and the security of decentralized systems like blockchain. Recent projects analyze transient forwarding anomalies, SDN-based network optimizations, and energy consumption in ISP networks. His contributions to network measurement and control plane innovations have significant implications for Internet architecture and operational practices. Vanbever actively publishes in top-tier conferences/journals and collaborates on open-source networking tools. His lab develops frameworks to enhance network performance and security, such as verifying link loads and mitigating BGP hijacks. Current efforts include exploring energy-efficient network designs and safeguarding cryptocurrency infrastructure against routing vulnerabilities.

Tom Comynsمشاهده پروفایل

استاد

• Strength and Conditioning
• Rugby Injury Epidemiology
• Sports Biomechanics
• +۳ مورد دیگر

Tom Comyns is a Professor in the Department of Physical Education & Sport Sciences at the University of Limerick (UL), affiliated with the Faculty of Education and Health Sciences. He holds membership in the Health Research Institute and the Sports and Human Performance Research Centre. His research focuses on Strength and Conditioning (S&C) and Rugby Injury Epidemiology, collaborating with the Irish Rugby Football Union (IRFU) and Swim Ireland. He supervises six current PhD students and has guided nine to completion. As co-PI of the IRIS (Irish Rugby Injury Surveillance) project, funded by the IRFU until 2030, he investigates injury patterns in Irish rugby. Tom teaches on BSc, BA, MSc programs in Sports Performance and Pedagogy, receiving multiple teaching awards from UL and the EHS faculty. Education: BA (1996), MSc (1999), PhD (2006) in Physical Education and Motor Science from UL. Prior to academia, he worked as an S&C coach for Munster Rugby, the IRFU, and the Irish Institute of Sport, supporting Olympians and Paralympians. An Olympian himself, he competed in the Sydney 2000 Olympics as a sprinter. Current roles include co-Theme Leader for 'Rugby Science' in UL's Sports and Human Performance Research Centre. Research highlights include injury surveillance in rugby, training load monitoring, and S&C interventions. Key projects include the IRIS initiative and a longitudinal study on swimming injury and illness. His work addresses athlete safety, dual-career support, and gender-specific health risks in sports. Grants and collaborations: IRFU-funded IRIS project extension to 2030, National Aquatic Centre Swimming Club support, and Paralympic Ireland funding. Labs/teams: Involved in the Sports and Human Performance Research Centre, focusing on rugby science and S&C strategies.

Deepak Nadigمشاهده پروفایل

استادیار

• Computer Networks
• Cloud-Native Infrastructure
• Software-Defined Networks (SDN)
• +۳ مورد دیگر

Deepak Nadig is an Assistant Professor in the Department of Computer and Information Technology (CIT) at Purdue University and Director of the Cloud-native, Cyberinfrastructure and Networks (CYAN) Lab. He holds a Ph.D. in Computer Engineering from the University of Nebraska-Lincoln (2021). Prior to academia, he served as Director of Technology and Research at SOLUTT Corporation (India, 2009–2015), leading networking and wireless operations in 4G/LTE and multi-gigabit technologies. He is an IEEE-certified Wireless Communications Professional (2014–2019) and has received awards including the 2017 IEEE ANTS Best Paper Award and 2019 Milton E. Mohr Fellowship. Education: Ph.D. in Computer Science & Engineering, University of Nebraska-Lincoln, 2021. Master’s Thesis: Design and Deployment of DTN Architectures for Interplanetary Communication Systems, RV College of Engineering, India, 2007. Research Interests: His work focuses on computer networks, cloud-native infrastructure, software-defined networks (SDN), network virtualization, AI/ML-driven networking solutions, and cybersecurity. He leads the CYAN Lab, advancing cloud-native and edge computing architectures for data-intensive applications. Grants & Awards: NSF-funded research, Purdue Bravo Award (2021), and multiple dissertation awards. His contributions include optimizing network architectures for GridFTP transfers (SNAG framework) and scalable edge computing for agriculture (ERGO). Labs & Leadership: Director of the CYAN Lab, managing projects on network observability, SDN security, and cloud-native systems. Active in program committees for IEEE conferences and journals like IEEE/ACM Transactions on Networking and IEEE INFOCOM.

• Building Energy Simulation
• Thermal Engineering
• Renewable Energy Systems
• +۴ مورد دیگر

Andrii Zakovorotnyi serves as Senior Research Associate at the Institute of Building Technology and Energy within the School of Engineering and Architecture at Lucerne University of Applied Sciences and Arts (HSLU). His research focuses on advanced building energy systems and thermal simulations. He holds a Bachelor's and Master's degree in Thermal Physics from Kiev Polytechnic Institute (2013, 2015), following which he joined HSLU as an intern before becoming a research assistant and later research fellow. His educational background directly informs his current research trajectory in energy-efficient building technologies. His research interests span Building Energy Simulation , Thermal Engineering , and Renewable Energy Systems , with particular expertise in CFD modeling of building environments and energy monitoring systems. Current projects address critical challenges like climate-resilient urban design through AI-based Mixed Reality (KlimaCoLab), seasonal thermal energy storage (ITC Hochleistung-Wärmedämmung), and optimization of photovoltaic-integrated energy storage systems. Analysis of his 15 most recent publications reveals strong emphasis on practical applications of building energy modeling, with recurring themes in geothermal cooling systems, cloud-based simulation platforms for self-sufficient buildings, and advanced data analytics for energy profiling. His work consistently bridges computational methods with real-world building performance validation. Project leadership includes significant contributions to national initiatives like BFE-Projekt CoolShift+, SCCER FEEB&D work packages, and Minergie 2017 development. His technical approach integrates Monte Carlo uncertainty analysis, clustering algorithms for energy data, and climate change adaptation strategies into building design frameworks. Based at the Center for Integrated Building Technology (Room C312), his laboratory work focuses on experimental validation of thermal building models and development of monitoring protocols for building automation systems. Current work includes the COOL2REGEN project investigating active building cooling with heat pumps and geothermal probes for high regeneration grades.

• Software Engineering
• Gamification
• Agile Methodologies
• +۵ مورد دیگر

Murat Yilmaz is an Associate Professor at the Department of Computer Engineering , Faculty of Engineering , Gazi University , Turkey. With over 14 years of industrial experience in software development, including roles at Huawei Research Centre and HAVELSAN A.Ş., he bridges academic research with practical software methodologies. Research Focus : Gamification in software engineering, agile transformations, virtual reality (VR) for training, and human-computer interaction. Industrial Collaboration : Partners include Huawei, HAVELSAN A.Ş., Kreatin Studios, and Portakal Technologies. Expertise : Software architecture, empirical research, motivational models, and digital governance in the metaverse. His recent publications explore gamification in sleep health, bias in AI systems, metaverse applications, and microservices decomposition. He employs explainable AI and VR for software process improvement, with a strong emphasis on productivity, fairness, and efficiency in development teams.

Tom Cliffordمشاهده پروفایل

عضو هیئت علمی

• Exercise Physiology
• Sports Nutrition
• Exercise Metabolism
• +۳ مورد دیگر

Tom Clifford is a Reader in Exercise and Health Nutrition at Loughborough University, having previously served as a Lecturer and Senior Lecturer at Newcastle University. He holds degrees from Brighton University (BSc), Portsmouth University (MSc), and Northumbria University (PhD). His research focuses on sports nutrition, exercise metabolism, and dietary supplements' effects on athletic performance and recovery. Key areas include antioxidant mechanisms, cannabinoid effects on exercise, and sleep patterns in elite athletes. Education history includes: BSc (Hons) Sports & Exercise Science (2010, Brighton University) MSc Sports Performance (2012, Portsmouth University) PhD in Exercise & Health Nutrition (2017, Northumbria University) Research interests span sports nutrition strategies, exercise-induced inflammatory responses, and gender-specific physiology. His work explores supplements like cannabidiol, curcumin, and collagen peptides for recovery purposes. He also investigates sleep architecture in elite soccer players and the impact of menstrual cycles on female athletes' well-being. Awards include Fellowship of the Higher Education Academy (FHEA) and British Association of Sports and Exercise Sciences accreditation. His contributions to sports science emphasize translational research bridging nutrition, exercise physiology, and clinical applications.

Michael Barnett-Cowanمشاهده پروفایل

دانشیار

• Neuroscience
• Multisensory Processing
• Virtual Reality
• +۵ مورد دیگر

Michael Barnett-Cowan is an Associate Professor and Associate Chair of Graduate Studies at the University of Waterloo. His research focuses on multisensory processing, sensorimotor integration, and the neurophysiological mechanisms underlying human perception and balance control. Specializing in neuroscience, he investigates how visual, vestibular, and somatosensory inputs interact in contexts like virtual reality (VR), aviation, and aging populations. His work addresses cybersickness mitigation, postural stability, and the development of VR-based interventions for older adults and dementia patients. He leads the Multisensory Brain and Cognition Lab and actively contributes to academic administration and graduate education. Research interests include: multisensory integration, VR applications in health, sensorimotor adaptation, and cognitive aging. Recent studies explore how physical activity and exercise influence multisensory processing in older adults, and how visual threat perception affects postural stability in virtual environments. Key contributions span over 50 peer-reviewed articles, with recent work emphasizing cybersickness dynamics, exergame design for aging demographics, and the role of sensory reweighting in balance disorders. His interdisciplinary approach integrates neuroscience, engineering, and clinical research to advance understanding of human-environment interactions.

• Biomechanics
• Neuromechanics
• Musculoskeletal Modeling
• +۵ مورد دیگر

Pouya Amiri is an Assistant Professor in Biomechanics and Neuromechanics at Queen's University. He holds a PhD from McGill University and post-doctoral training at Imperial College London. His research focuses on musculoskeletal biomechanics, particularly in impairments like lower limb amputation and knee osteoarthritis. He combines computational models with medical imaging and functional experiments to develop personalized interventions and rehabilitation technologies. Education: PhD in Biomedical Engineering, McGill University Post-Doctoral Fellowship, Imperial College London MASc in Mechanical Engineering, Dalhousie University MSc/BSc in Mechanical Engineering, Isfahan University of Technology Research Interests: Biomechanical adaptations in amputees Knee osteoarthritis mechanics Human balance control Functional electrical stimulation Prediction of joint forces via musculoskeletal models Biofeedback training for gait optimization His recent work explores predictive musculoskeletal models for amputees, VR-based balance control identification, and reducing knee joint loading in osteoarthritis patients. He emphasizes subject-specific approaches for clinical applications. Advising & Funding: Actively recruiting motivated students through scholarships like Ontario Graduate Scholarship and NSERC. Internal funding opportunities are also available.

Fabio Patroneمشاهده پروفایل

استادیار

• Satellite Communication Networks
• Delay and Disruption Tolerant Networks (DTNs)
• Cybersecurity
• +۷ مورد دیگر

Fabio Patrone is an Assistant Professor at the University of Genoa's Department of Electrical, Electronic, and Telecommunications Engineering and Naval Architecture (DITEN). His research focuses on satellite communication networks, cybersecurity, and 5G/6G integration. He holds a Ph.D. from the Satellite Communications and Networking Laboratory (SCNL), where his thesis addressed routing algorithms in DTN networks. Education: BEng and MEng in Telecommunication Engineering (University of Genoa, 2010-2013), followed by a Ph.D. in Satellite Communications (2017). His work spans satellite-DTN integration, IoT solutions with aerial/satellite networks, and machine learning for intrusion detection systems. Research interests: Cybersecurity in industrial/agricultural IoT, satellite-terrestrial network convergence, edge computing orchestration in LEO constellations, and latency optimization in non-terrestrial networks. He has developed frameworks like OpenSatRange for satellite network testing and proposed reinforcement learning-based handover strategies. Recent work trends show strong focus on hybrid satellite-terrestrial 5G networks, AI-driven network management, and vulnerability assessment of critical infrastructure systems. His articles address both theoretical advancements (e.g., graph neural networks for routing) and applied solutions (e.g., SDR-based cybersecurity frameworks). Acknowledgments: No scientific awards explicitly mentioned. Active in advising on ANChOR project (data-driven network orchestration) and developing lab infrastructure at SCNL. Collaborates with industry partners on edge computing and smart grid applications. Labs/Teams: Core member of Satellite Communications and Networking Laboratory (SCNL), contributing to projects like E-CGR energy-aware routing and Coldsel congestion mitigation algorithms. Engaged in UAV/satellite integration initiatives for IoT expansion in rural areas.

Mor Harchol-Balterمشاهده پروفایل

استاد

• Systems
• Distributed Systems
• Networking
• +۳ مورد دیگر

Roles and Affiliations : Mor Harchol-Balter is the Bruce J. Nelson Professor of Computer Science at Carnegie Mellon University, leading the Department's PhD program (2008-2011). She holds ACM and IEEE Fellowships, and her work focuses on performance analysis and design of distributed systems, scheduling policies, and queueing theory. Her research challenges conventional system design assumptions, emphasizing mathematical rigor and practical implementation. Education : Ph.D. in Computer Science from UC Berkeley (1996), joined CMU in 1999. Extensive teaching history includes courses like Performance Modeling and Probability and Computing . Research Interests : Performance analysis of computer systems, stochastic modeling, scheduling algorithms (e.g., SRPT, Whittle Index), load balancing, and distributed systems design. She explores high-variability workloads, cache throughput optimization, and redundancy in systems. Key contributions include queueing theory innovations like RDR, RRR, and CAP techniques. Grants and Collaborations : Active in NSF-funded projects on scheduling, cloud computing, and cache networks. Her work bridges theory and practice, with implementations like SyNC and AutoScale adopted by industry. Labs and Teams : Leads the SQUALL research group (Scheduling and QUeueing Around Lunchtime) and collaborates with industry (e.g., Facebook's AutoScale adoption). Her research has produced influential textbooks on performance modeling and probability for computing.

• Distributed Systems
• Network Coding
• Information Theory
• +۳ مورد دیگر

MALAK Derya is an Assistant Professor at EURECOM's Communication Systems department, specializing in networked distributed computing systems. Her research focuses on optimizing communication and computation trade-offs in networks, with a strong emphasis on network coding, information theory, and wireless communication systems. She holds a dual role in advancing theoretical foundations and practical implementations of distributed computing frameworks. Dr. Malak has received prestigious recognitions, including the Best Paper Awards at WiOpt 2023 and WIOPT 2022 for her work on content distribution optimization and random access protocols. Her research explores cutting-edge topics such as non-linear function computation, structured coding for matrix operations, and congestion-aware job scheduling in real-time systems. Key Research Areas: Distributed Algorithms, Network Coding, Machine Learning Systems, Wireless HetNets, and Multi-Server Architectures Awards: WiOpt 2023 Best Paper, WIOPT 2022 Best Paper Professional Activities: Invited speaker at major conferences and workshops, including the National Center on Networks and Systems for Digital Transformation Her work bridges theoretical insights with practical engineering solutions, addressing critical challenges in modern distributed and networked systems.

• Renewable Energy Systems
• Battery Storage Technologies
• Thermal Management for Electric Vehicles
• +۴ مورد دیگر

Assoc. Prof. Davut Solyali is the Vice Dean of the Faculty of Engineering at Eastern Mediterranean University (EMU), specializing in Electrical and Electronic Engineering. His academic career includes roles as faculty member and administrator with a focus on renewable energy systems, battery technologies, and smart manufacturing. Education: PhD in Renewable Energy (2007-2013), University of Bath MSc in Power Systems (2006-2007), University of Bath BEng in Electrical & Electronic Engineering (2001-2006), Eastern Mediterranean University Research Interests: Focus on battery storage systems for power grids, thermal management of electric vehicle batteries, machine learning applications in manufacturing processes, and wind energy resource assessment. His work bridges renewable energy integration with advanced manufacturing techniques, contributing to sustainable energy solutions and Industry 4.0 advancements. Publications: Recent work emphasizes battery thermal management systems, machine learning optimization of welding processes, and energy storage reviews. His 2022 review on electrochemical battery storage systems has been influential in grid optimization discussions. Awards: Received the EMU Publication Citation Award (2021) for scholarly contributions. Advising & Grants: Supervised multiple theses in energy systems and manufacturing. Engaged in interdisciplinary projects combining renewable energy with advanced thermal engineering solutions. Labs/Teams: Active in EMU's Energy Research Center and Electric Vehicle Development Center (EVDC), contributing to cutting-edge projects in sustainable transportation and grid technologies.

Andrew Hamilton-Wrightمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Data Visualization
• +۶ مورد دیگر

Dr. Andrew Hamilton-Wright is an Associate Professor at the School of Computer Science, University of Guelph, part of the College of Engineering and Physical Sciences. He is a member of the Centre for Advancing Responsible and Ethical Artificial Intelligence (CARE-AI) and has been at the university since 2017. He holds a PhD from the University of Waterloo (2006) and previously worked as a Postdoctoral Researcher at Queen’s University and an Associate Professor at Mount Allison University. His research focuses on machine learning, association mining, and data visualization to support decision-making in healthcare. Key areas include electrophysiological data analysis for disease characterization, fatigue and pain prediction using biophysical signals, and the development of robust software tools for visualizing complex data. He has pioneered work on EMG simulators and models for validating techniques in neuromuscular research. Notable awards include an NSERC Discovery Grant (2021) and an NSERC Engage Grant (2018). His work has been featured in media coverage, such as CTV News’ report on an iron-tracking app for genetic condition management. He is also affiliated with the OneHealth Institute and editorial boards in scientific journals. His grants and collaborations include NSERC-funded projects and partnerships with industry. He advises on ergonomic and postural data analysis, with applications in occupational health and safety. His lab focuses on integrating machine learning with biomedical systems to improve clinical decision-making.

• Business Process Management
• Workflow Systems
• Cloud Computing
• +۳ مورد دیگر

Michael Adams is a Researcher at the School of Information Systems, Queensland University of Technology. His work focuses on Business Process Management (BPM), Workflow Systems, and Cloud Computing. He holds a PhD in Computer Science from QUT (2007), specializing in dynamic workflow adaptation. Adams is a core contributor to the YAWL open-source workflow management system, which he has advanced through research on scalability, blockchain integration, and cloud deployment. His research spans over two decades, with notable contributions to workflow exception handling, robotic process automation (RPA), and federated architectures for distributed systems. He has collaborated internationally, publishing in top journals like Knowledge and Information Systems and Computers in Industry . His recent work explores blockchain applications in publishing and healthcare, emphasizing practical solutions for industry challenges. Adams has co-edited influential books on BPM automation and contributed to standards for process mining and organizational modeling.