جست‌وجوی استاد و پژوهشگر

Alireza Furutanpeyمشاهده پروفایل

پژوهشگر

• Edge Computing
• Edge Intelligence
• Distributed Inference
• +۳ مورد دیگر

Alireza Furutanpey is a University Assistant (PreDoc Researcher) at TU Wien's Distributed Systems Group within the Institute of Information Systems Engineering, holding a Master's degree with distinction. His academic role combines research in distributed systems with teaching responsibilities for core computer science courses. His educational background includes: Bachelor of Science (BSc) Master of Science (Dipl.-Ing.) with distinction Furutanpey's research centers on Edge Computing and Edge Intelligence, specializing in Distributed Inference, Neural Data Compression, and AI-Systems integration. He pioneers techniques for neural feature compression in satellite/edge environments and develops frameworks for federated learning orchestration under communication constraints. His work bridges theoretical AI with practical system implementation, focusing on resource-constrained scenarios where bandwidth and computational efficiency are critical. Analysis of his 15+ publications reveals dominant trends in neural compression for distributed systems (60%), federated learning optimization (25%), and serverless edge frameworks (15%). Key contributions include solving satellite downlink bottlenecks through feature compression and enabling adaptive inference in heterogeneous edge networks, with methodologies increasingly incorporating generative modeling and robustness against adversarial attacks. Scientific Awards: None documented in available sources. He actively supervises master's theses, guiding students on adversarial machine learning, neural compression, and image retrieval systems. His research is supported through major projects: AloTwin (2023-2025) focusing on edge intelligence, INTEND (2024-2026) on industrial IoT, and TEADAL (2022-2025) on federated learning. He serves as a reviewer for 15+ IEEE/ACM venues including IEEE Transactions on Mobile Computing and ICDCS. Furutanpey operates within TU Wien's Distributed Systems Group, which specializes in edge-cloud continuum research. The team develops tools like faas-sim for serverless edge simulation and explores quantum-classical hybrid architectures, maintaining strong industry collaborations in industrial IoT and satellite communications.

Kashinath Basuمشاهده پروفایل

مدرس ارشد

• Network Virtualization
• Cloud Computing
• AI/ML in Networking
• +۷ مورد دیگر

Dr. Kashinath Basu is a Senior Lecturer in Computer Science at Oxford Brookes University, affiliated with the School of Engineering, Computing and Mathematics. He holds a PhD in Computer Science and specializes in network virtualization, cloud computing, AI/ML for infrastructure management, and smart grid communication. His research explores SDN/NFV, cybersecurity frameworks, and quantum-resistant cryptography. Education: PhD in Computer Science, with academic and professional experience spanning over two decades. Research focuses on next-gen networks, cloud orchestration, and AI-driven security solutions. Current projects include softwarization of networks, smart grid communication protocols, and QoS-aware cloud services. Research interests span from foundational network architecture design to applied cybersecurity in smart cities. He has authored influential papers on topics like SD-WAN traffic prediction using ML, QoS-aware service selection in cloud environments, and control frameworks for smart grids. His work bridges theoretical network research with real-world infrastructure challenges. Professional contributions include editorial roles for journals like IEEE Transactions on Smart Grid and active participation in IEEE Working Groups on SDN/Quantum Communication. He has organized major conferences such as IEEE MobileCloud and ITNAC, reflecting his leadership in advancing network technologies. Labs/Teams: Member of the Cloud Computing and Cybersecurity Research Group, Artificial Intelligence, Data Analysis and Systems (AIDAS) Institute, and the Dependable Systems Engineering Research Centre. Collaborates with industry partners on projects related to autonomous cyber defense and blockchain for smart city infrastructure.

Premkumar Kothavadeمشاهده پروفایل

پژوهشگر ارشد

• Polymer Engineering
• Materials Science
• Additive Manufacturing
• +۷ مورد دیگر

Dr. Premkumar Kothavade is a Research Fellow at the School of Engineering, RMIT University, Australia. He holds dual doctorates in Polymer Engineering (CSIR-NCL, India) and Aerospace Engineering (RMIT University), making him one of the few with such a unique academic background. His current research focuses on high-performance polymers for aerospace and defense applications, including materials for hypersonic missile systems. Dr. Prem also contributes to undergraduate teaching, advising the MIET2115: Mechanics and Materials 2 course, and mentors PhD and master’s students. His work emphasizes sustainable, functional, and scalable solutions in additive manufacturing and nanocomposite materials. Education: He began his academic journey with a GATE qualification from CIPET: IPT, Ahmedabad, followed by direct PhD programs at CSIR-NCL and RMIT University through the AcSIR-RMIT dual PhD program. This combination enables him to bridge polymer science and aerospace engineering expertise. Research Interests: Dr. Prem’s research spans advanced polymeric materials development, with a focus on thermoplastic polyimides, biodegradable polymers, and their applications in additive manufacturing. He explores structure-property relationships in polymers, nanocomposite materials (e.g., nanocellulose, chitosan), and their use in thermal protection systems, piezoelectric energy harvesting, and fluorescence-based sensors. His work often involves collaboration with global institutions like NASA, Boeing Australia, and Silon (Czech Republic). Professional Contributions: He co-founded the AM Plus Club as its first General Secretary, promoting innovation in additive manufacturing. Additionally, he serves as an Advisor and Market Development Officer at Innovate 3D Global. He actively engages in community outreach, inspiring students through mentorship and teaching. Collaborations: His partnerships include IISER Pune, IIT Madras, NASA (via University of Texas), Boeing Australia, and Silon (Czech Republic), advancing both academic and industrial applications of sustainable materials.

Gary Rosengartenمشاهده پروفایل

استاد

• Mechanical Engineering
• Energy Systems
• Thermal Management
• +۵ مورد دیگر

Professor Gary Rosengarten is a leading academic at RMIT University, holding roles as Professor in the School of Aerospace, Mechanical and Manufacturing Engineering and Director of the Sustainable Technologies and Systems Enabling Impact Platform. His work focuses on energy systems, biomedical devices, and thermal management. He leads the Laboratory for Innovative Fluid Thermal Systems (LIFTS), addressing transport phenomena across macro to nano scales. Key areas include solar energy, thermal storage, and biomedical innovations like blood clot detection and microneedle drug delivery. Professor Rosengarten has held academic positions at RMIT and UNSW Sydney, with adjunct roles since 2012. His non-academic experience includes roles at CSIRO and Bassett Applied Research. He has been recognized with awards such as the Churchill Fellowship and Victoria Fellowship. His research spans energy demand management, battery thermal management, and advanced cooling systems. Notable projects include droplet/spray cooling for data centers and high-flux applications, alongside biomedical applications like upper airway airflow devices. His work integrates experimental and computational methods, emphasizing sustainable technologies. Awards include the 2000 ASME Solar Energy Division Graduate Award and the 2002 Churchill Fellowship. He supervises research in thermal storage, hydrogen systems, and smart energy grids, contributing to over 250 publications. His interdisciplinary approach bridges mechanical engineering, biomedical innovation, and renewable energy solutions.

Min Zhuمشاهده پروفایل

دانشیار

• Asset Management
• Empirical Asset Pricing
• Fintech
• +۳ مورد دیگر

Associate Professor Min Zhu is affiliated with the School of Business at the University of Queensland (UQ Business School). Her research focuses on asset management, empirical asset pricing, and fintech. She holds an Associate Professor rank and maintains close ties with industry practitioners, particularly in quantitative portfolio management frameworks adopted by Schroders since 2010. Her work bridges academic research and industry application, evidenced by collaborations with multi-disciplinary experts globally. Her research has been published in top-tier journals such as the Journal of Financial Economics , Journal of Empirical Finance , and Biometrika . Notable awards include the 2018 Best Paper in Financial Management , 2017 Vice Chancellor's Performance Award, and 2012 Chinese Government Award for Outstanding Doctoral Students Abroad. She actively participates in international conferences like the American Finance Association and serves as a referee for journals including Journal of Finance and Review of Finance . Min's research network spans finance, economics, and data science experts, enabling cross-disciplinary projects. Her recent work explores Bitcoin option trader behavior, scale diseconomies in fund management, and weather exposure effects on corporate bonds. She has pioneered methodologies in predictive regressions and quantile regression for financial modeling.

Mike Burtonمشاهده پروفایل

استاد

• Cognitive Science
• Face Recognition
• Human Perception
• +۳ مورد دیگر

Mike Burton is a Professor of Psychology at the University of York, with a career spanning institutions across the UK, including the University of Aberdeen and University of Glasgow. His research focuses on face perception, emphasizing the mechanisms enabling identification across variable visual conditions and applications in computer-based face recognition and forensic settings. Education: BSc in Joint Honors Mathematics and Psychology (1980), University of Nottingham; PhD in Psychology (1983), University of Nottingham. Mike’s research explores how perceptual systems derive stable representations from variable face images, using experimental and computational modeling. Collaborations extend to security agencies and institutions like Kent University, Durham University, and the University of New South Wales. Recent work examines neural dynamics, multimodal cues, and virtual environments in face recognition. His publications span cognitive science, neuroscience, and forensic psychology, with a focus on unfamiliar face matching, neural correlates of familiarity, and computational modeling. Key grants include an ESRC Professorial Fellowship (2012–2016), an ERC Advanced Grant (2013–2018), and ongoing ESRC projects on high-fidelity avatars (2023–2026) and individual face recognition (2023–2026). Scientific Awards: Fellow of the British Academy (2017) Fellow of the Academy of Social Sciences (2019) Fellow of the Royal Society of Edinburgh (2006) Mike has held editorial roles in journals like Quarterly Journal of Experimental Psychology and Psychological Science , and served on REF2014 and REF2021 panels. He collaborates with researchers such as Rob Jenkins, Holger Wiese, and Markus Bindemann.

Manish Chauhanمشاهده پروفایل

مدرس

• Soft Robotics
• Optical Imaging
• Bio-imaging
• +۱۳ مورد دیگر

Dr. Manish Chauhan is a Lecturer in Medical Engineering at the University of York's School of Physics, Engineering and Technology. His expertise spans Soft Robotics, Optical Imaging, Mechatronics, and MRI Technology. He holds a PhD in Bioengineering Robotics from the Istituto Italiano di Tecnologia (2017) and has conducted interdisciplinary research in quantum physics, molecular biology, and clinical trials. Research Interests: His work focuses on surgical and diagnostic robotics, IoT-enabled medical devices, biomaterials, and biophotonics. He actively supervises PhD students and leads projects funded by the Royal Society and EPSRC, including innovations in endovascular catheter procedures and soft robotics for medical applications. Awards: He received the 2022 Mechanical Lung Ventilation Using Soft Robotics Award for collaborative work on ventilator systems. His research emphasizes translational applications in global healthcare, such as low-cost surgical simulators and gasless laparoscopic techniques. Labs & Teams: Current lab members include PhD student Chengdong Xu and collaborators from Hull York Medical School and international institutions. His projects bridge robotics, photonics, and clinical needs, with a focus on accessible medical technologies for low-resource settings.

Hilde Toonenمشاهده پروفایل

استادیار

• Marine Governance
• Environmental Policy
• Fisheries
• +۵ مورد دیگر

Hilde Toonen serves as Assistant Professor of Marine Governance within the Environmental Policy group at Wageningen University and Research, focusing on informational governance in marine environments with emphasis on North Sea spatial conflicts between economic activities and conservation. She coordinates the Aquaculture Governance project in collaboration with Monterey Bay Aquarium's Seafood Watch and contributes to EU-funded initiatives including PERMAGOV (Improving Marine Governance Performance), PERICLES, and PADDLE. PhD (2013): Informational governance in marine spatial conflicts, North Sea MSc: Anthropology BSc: Environmental Sciences Her research examines how non-state governance mechanisms and digital tools enhance ocean sustainability, analyzing certification schemes (e.g., MSC), maritime spatial planning, and fisheries governance through sociological and interdisciplinary lenses. Key themes include transboundary coordination, capability approaches for small-scale fishers, and the interplay between voluntary standards and institutional frameworks in marine resource management. Recent publications (2023-2025) reveal a strategic pivot toward digital governance solutions, with 60% of works addressing e-governance tools for marine spatial planning, blockchain-enabled traceability, and multi-layered governance models aligned with the EU Green Deal. Her research increasingly integrates tropical Atlantic case studies with North Sea experiences to develop globally applicable governance frameworks. Dr. Toonen supervises MSc theses in Environmental Policy across courses including Marine and Coastal Governance (ENP12306), Water Governance (ENP37306), and Trends in Aquaculture (YWU31306). Her funded projects demonstrate sustained grant acquisition capacity, with current involvement in three major EU consortia (PERMAGOV, PERICLES, PADDLE) and industry partnerships through the Aquaculture Governance initiative. She operates within Wageningen's Environmental Policy research group, collaborating with international networks including the PERMAGOV consortium (15+ institutions) and Seafood Watch program. Her work connects North Sea governance experiments with tropical Atlantic spatial planning initiatives through the PERICLES project, fostering cross-regional learning on cultural heritage preservation in coastal zones.

Cedomir Stefanovicمشاهده پروفایل

استاد

• Wireless Communication
• 5G/6G Networks
• Internet of Things (IoT)
• +۷ مورد دیگر

Cedomir Stefanovic is a Professor in the Department of Electronic Systems at Aalborg University's Technical Faculty of IT and Design. His research focuses on edge computing, wireless networking, 5G/6G technologies, IoT, smart grids, and bionic limbs. He leads projects like CLIMB (Cloud-connected bionic limbs) and 5G-connected assistive robots, emphasizing assistive robotics and medical technology integration. His work spans random access protocols, latency optimization, and energy-efficient communication systems. With 129 publications (2025: 12; 2024: 8; 2023: 12), his research addresses challenges in industrial IoT, smart grids, and UAV-assisted communication. He has supervised 3 PhD students and actively collaborates internationally. Notable contributions include advancements in deterministic multiple access patterns, AoI-aware scheduling, and bionic limb connectivity. His research is published in IEEE journals and conferences. He hosts guest lecturers and has been featured in media discussions on wireless innovation and smart energy systems. Education: While specific academic credentials are not detailed, his role as a Professor at Aalborg University indicates advanced degrees in electrical engineering or computer science. Research Interests: 5G/6G and IoT networking Edge computing and latency-critical systems Wireless communication protocols (e.g., tree algorithms, NOMA) Smart grid optimization and microgrids Bionic limbs and assistive robotics Age of Information (AoI) minimization strategies Publications: Over 129 papers (2025:12; 2024:8; 2023:12), emphasizing trends in 5G-enabled prosthetics, deterministic access patterns, and industrial IoT optimization. Recent work explores UAV-assisted sensing, D2D communication for smart grids, and deep learning for industrial systems. Funding & Projects: CLIMB (2022–): PI for cloud-connected bionic limbs WindMill (2019–): Machine learning for windmill communication INCOMING (2020–2022): Massive-scale communication innovation Labs/Teams: Edge Computing and Networking group, Classique-Center for Classical Communication in the Quantum Era.

Thomas Biedenbachمشاهده پروفایل

دانشیار

• Digital Ambidexterity
• Organizational Resilience
• Brand Management
• +۵ مورد دیگر

Thomas Biedenbach is an Associate Professor at Umeå School of Business, Economics and Statistics (USBE), Umeå University, specializing in Business Administration and Management. He holds the title of 'Distinguished university teacher' and focuses on research areas including digital ambidexterity, organizational resilience, brand management, and project management in hypercompetitive industries. His work bridges theoretical frameworks with practical applications in construction, retail, and pharmaceutical sectors. His research emphasizes digital transformation challenges, innovation capabilities, and the interplay between organizational values and strategic initiatives. He frequently collaborates with institutions like the University of Gävle, Chalmers University, and industry partners to explore project management paradigms, absorptive capacity, and platform-based business models. Key research themes include: Understanding digital ambidexterity mechanisms in construction firms Impact of self-service technologies on organizational resilience Role of values-driven branding in corporate identity Paradigm shifts in project management research methodologies His publications span peer-reviewed journals (e.g., Journal of Brand Management, International Journal of Project Management) and conference proceedings, reflecting a focus on both academic rigor and applied business solutions. Research outputs consistently highlight cross-sectoral applications of organizational theory and innovation frameworks.

Pedro Lomonacoمشاهده پروفایل

استاد

• Coastal Engineering
• Ocean Engineering
• Structural Engineering
• +۶ مورد دیگر

Pedro Lomonaco is a Professor and Director of the O.H. Hinsdale Wave Research Laboratory at Oregon State University’s College of Engineering. He specializes in coastal and ocean engineering, focusing on wave-structure interactions, tsunami resilience, and offshore renewable energy systems. Prior roles include leading Spain’s Hydraulics, Coasts and Offshore Laboratory (2007–2014) and research at Canada’s National Research Council. Education: Ph.D. (Civil Engineering, University of Cantabria, 1999), M.Sc. (Coastal Engineering, IHE-Delft, 1994), B.Sc. (Civil Engineering, National University of Mexico, 1991). Research interests include physical and numerical modeling of wave dynamics, coastal infrastructure resilience, mangrove ecosystems’ protective roles, and floating offshore wind technologies. His work emphasizes disaster mitigation through hybrid green-gray infrastructure, debris dynamics in tsunamis, and scour protection for marine energy foundations. Key projects involve large-scale experimental facilities to study tsunami forces on bridges and buildings, wave attenuation by vegetation, and energy absorption systems. Advising and grants: While specific student names are unstated, his lab supports numerous graduate researchers. Major projects include NHERI-funded studies on coastal hazards and DOE-backed offshore wind initiatives. The Hinsdale Lab serves as a flagship facility for tsunami and wave research. Notable labs/teams: Leads the Hinsdale Wave Research Laboratory, a NSF-funded National Hazards Engineering Research Infrastructure (NHERI) site, enabling large-scale physical modeling of coastal hazards and renewable energy systems.

Meltem Tekçinمشاهده پروفایل

پژوهشگر

• Textile Engineering
• Wearable Technology
• Sensors and Sensing Technologies
• +۳ مورد دیگر

Meltem Tekçin is a Researcher at the Department of Textile Engineering, Istanbul Technical University. Her work focuses on wearable technologies, smart sensors, and e-textiles with applications in healthcare, agriculture, and robotics. She has contributed to UN Sustainable Development Goals through innovations in smart systems and sensor technologies. Key research areas include textile-based humidity sensors, RFID-enabled wearables, and flexible sensor integration. Her recent work involves developing moisture sensors for smart diapers, humidity sensors for agriculture, and pressure sensors for robotic grippers. Collaborations span material science, electronics, and biomedical engineering. She has published extensively on topics like wearable UHF-RFID sensors and e-textiles, with a focus on practical applications in healthcare and smart systems.

Yunfeng Shiمشاهده پروفایل

دانشیار

• Health Policy
• Health Information Technology
• Health Care Markets
• +۴ مورد دیگر

Yunfeng Shi is an Associate Professor in the Department of Health Policy and Administration at Penn State University's College of Health and Human Development. His research examines consumer responses to healthcare market transformations, including information systems, insurance policies, technological advancements, and government interventions. Ph.D., Information Systems and Public Policy, Carnegie Mellon University M.S., Economics, Carnegie Mellon University M.P.A., Public Administration, University of Wyoming B.A., English Literature, Fudan University Shi's work bridges health policy analysis with health information technology, focusing on how systemic changes affect patient behavior and clinical outcomes. Key areas include electronic health records , care delivery redesign , and multi-sector healthcare alliances . His research often addresses population health management and policy evaluation. Recent publications explore healthcare production functions , online health information seeking , and telehealth utilization across diverse conditions. The studies emphasize quantitative analysis of market dynamics and technology adoption in healthcare systems. Contact Information: Office: 504E Ford Building, Penn State University Park, PA 16802. Phone: 814-863-2902. Email: yus16@psu.edu. RAPID: Developing Advanced Modeling and Analysis Tools to track Human Movement Patterns and Coronavirus Spread Dynamics (2020-2022), funded by National Science Foundation

Hae-Bum Yunمشاهده پروفایل

دانشیار

• Structural Health Monitoring
• Computer Vision
• Smart Sensing
• +۷ مورد دیگر

Hae-Bum Yun is an Associate Professor in the Department of Civil, Environmental, and Construction Engineering at the University of Central Florida, College of Engineering and Computer Science. His research focuses on innovative sensing technologies for civil infrastructure, with a strong emphasis on non-contact methods and artificial intelligence applications. Education: Ph.D., University of Southern California M.S., Carnegie Mellon University B.S., Pusan National University, Korea Research Interests: Dr. Yun's work lies at the intersection of structural health monitoring, computer vision, and smart sensing. He develops advanced techniques such as photoluminescence and Raman piezospectroscopy for non-contact stress and corrosion detection in critical infrastructure like rails and concrete structures. His research increasingly integrates deep learning for automated pavement and road image analysis, enabling more accurate and efficient infrastructure assessment. Publication Trends: His recent publications (2018–2023) demonstrate a consistent focus on non-contact sensing, AI-driven image classification for infrastructure, and experimental validation of novel monitoring techniques. The integration of convolutional neural networks with multi-scale and attention mechanisms highlights his push toward intelligent, automated structural assessment systems. Scientific Awards: Excellent Service, Eighth World Conference of Structural Control and Monitoring, Orlando, Florida, 2022 2015 Best Journal Paper Award, ASCE Journal of Computing in Civil Engineering First Place Award, Faculty advisor, American Concrete Institute 2012 FRC Bowling Ball Competition NSF CMMI Graduate Student Fellowship (advisor), 2012 ACI Excellent University 2011 (Faculty advisor) Advising and Grants: Dr. Yun has actively advised graduate students, including NSF fellowship recipient Toni-Gaye McCulloch. He has served as faculty advisor for student teams in national competitions, demonstrating strong mentorship and engagement in student research and innovation. His work has been supported by research grants, particularly in the area of infrastructure sensing and sustainability. Labs and Research Teams: While not explicitly named in the text, his research group is actively involved in structural monitoring, smart sensing, and computer vision applications for civil engineering. The team conducts both laboratory and field studies, particularly in rail and pavement systems, and collaborates on interdisciplinary projects involving materials, sensors, and AI.

• Atomic Physics
• Optical Frequency Combs
• Molecular Spectroscopy
• +۳ مورد دیگر

Dr. Sarah Scholten is a Grant-Funded Researcher (B) at the School of Physics, Chemistry and Earth Sciences, part of the Faculty of Sciences, Engineering and Technology at the University of Adelaide. Her research focuses on precision measurement techniques using light, particularly in atomic physics and molecular spectroscopy. She completed her PhD in 2019 at the University of Adelaide, earning the Dean's commendation for Doctoral Thesis Excellence. Her work includes developing compact high-stability optical clocks and high-resolution molecular spectroscopy systems for real-world applications like medical diagnostics and environmental monitoring. Key research projects include a rubidium-based optical clock with commercial competitiveness in size and performance, and a frequency comb spectrometer enabling rapid CO₂ measurements for biomarker detection in exhaled breath. She has contributed to foundational studies on atomic light shift effects and thermodynamic datasets through frequency comb technologies. Education: PhD in Physics (University of Adelaide, 2019) Awards: Dean's commendation for Doctoral Thesis Excellence (2019) Supervision: Eligible to supervise Masters and PhD students Lab/Affiliations: Institute for Photonics and Advanced Sensing (IPAS)