جستجوی استاد راهنمای دانشگاهی

Alexander Scheuerleinمشاهده پروفایل

پژوهشگر ارشد

• Bat Demography
• Wildlife Conservation
• Life History Evolution
• +۴ مورد دیگر

Dr. Alexander Scheuerlein is a Research Fellow affiliated with the University of Greifswald and its Applied Zoology and Nature Conservation department. His work focuses on bat demography, climate change impacts on species, and evolutionary mechanisms of senescence, with significant contributions to global databases like COMADRE and COMPADRE . He collaborates with institutions such as the Max Planck Institute and British Ecological Society . Research Interests : Dr. Scheuerlein investigates how bats in northern temperate zones—a species at the 'slow' end of life history strategies—respond to environmental changes. He compiles nationwide demographic data to assess population vulnerabilities, emphasizing climate change and habitat monitoring. His studies extend to senescence in organisms like Hydra and adaptive traits in social insects. Scientific Awards : - 2016 PNAS Cozzarelli Prize Class V (for longevity research) - Elton Award 2016 (British Ecological Society, for animal demography) Article Trends : His publications span bat ecology, senescence, and global demographic databases. Recent studies explore RFID monitoring, climate-driven body size shifts, and mortality costs in hibernating bats. Earlier works analyze aging patterns across mammals, photoperiodic responses in birds, and chemical defenses in arthropods.

Stefan Udristoiuمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence
• Distributed Systems
• Grid Computing
• +۳ مورد دیگر

Mr. Stefan Udristoiu is a Senior Lecturer at the Faculty of Automatic Control, Computers and Electronics, University of Craiova, Romania. He serves as Head of the PhD in Software Engineering program and has taught courses such as operating systems, artificial intelligence, programming techniques, and web engineering. His research focuses on Artificial Intelligence, Distributed Systems, Grid Computing, and Operating Systems. Graduated from Faculty of Automatic Control, Computers and Electronics (1995) as Engineer in Software Engineering PhD candidate in Economic Cybernetics since 2003 under supervision of Prof. Dr. Eng. Lascu Ricu Contributed to over 30 scientific articles and 5 books Participated in 10+ national/international projects including EUREKA 2754 and RFID technology implementation at Pirelli Tyres SpA

• Wireless Systems
• Satellite Networks
• Artificial Intelligence
• +۳ مورد دیگر

Jingxian Wang is an NUS Presidential Young Professor in the Department of Computer Science at the National University of Singapore (NUS). He leads research in next-generation wireless systems, satellite networks, and AI-driven applications. Previously, he was a Research Scientist at Microsoft Research in Redmond, where he initiated the Smart Surface for 6G and Space project. He holds a Ph.D. from Carnegie Mellon University. His research spans wireless communication, backscatter technology, RFID systems, and soft robotics, with emphasis on low-latency networks and energy-efficient solutions. Work includes satellite traffic engineering, AI-enhanced LoRa reception, and wireless actuation for electronics-free robots. Publications demonstrate consistent focus on wireless innovation, with trends toward satellite networks (2025), generative AI in communication (2024), and soft robotics (2023). Earlier work established foundations in RFID and material sensing. Awards & Honors: ACM SIGMOBILE Doctoral Dissertation Award Microsoft Research Fellowship Emerging Rockstar in IEEE Pervasive Computing Best Paper Awards (UbiComp, IPSN, IJCAI) Research Highlights in ACM Communications (3×) and SIGMOBILE Team & Advising: He leads PhD students (Jinfan Liu, Kin Whye Chew, Jiahao Xu) and post-docs (Yijie Li, Zehua Sun), supported by initiatives like Microsoft's Accelerating Foundation Models program. The lab focuses on wireless systems, AI, and satellite networks.

Martin Trépanierمشاهده پروفایل

استاد

• Transportation Engineering
• Logistics
• Operational Research
• +۱۶ مورد دیگر

Martin Trépanier is a Full Professor in the Department of Mathematics and Industrial Engineering at Polytechnique Montréal . He directs the Interuniversity Research Center on Enterprise Networks, Logistics and Transport (CIRRELT) and co-holds the Chair in Transport Transformation . His expertise spans transportation engineering, logistics, operational research, and information systems design. Education: B.Eng., M.Sc.A., Ph.D. from Polytechnique Montréal Research Interests focus on Data Valorization , Artificial Intelligence , Geographic Information Systems , and Vehicle Routing in urban transport contexts. He leverages GPS data, RFID, and smart cards for applications in public transit, bike sharing, and freight transport. Recent Articles highlight trends in urban mobility prediction , gender transport disparities , and smart city technologies . His work emphasizes integrating data analytics with sustainable transport planning. Scientific Awards Quebec Research Fund grant (2022) Association québécoise des transports award (2017) Supervision includes 9 ongoing and 75+ completed graduate students across topics like subway disruption modeling , carsharing demand , and smart city logistics . Labs & Affiliations include the Data Intelligence Laboratory , Poly-Industries 4.0 Laboratory , and Institute for Data Valorization (IVADO) .

• Cybersecurity
• Network Security
• RFID Technology
• +۴ مورد دیگر

Robert Duhainy is an Associate Professor and Cybersecurity Program Director in the STEM Department at Regis College's School of Arts and Sciences. He holds a PhD in Information Technology and specializes in RFID deployment methods, network security, and cybersecurity workforce development. Doctor of Philosophy (PhD), Walden University Master of Science, Southern Methodist University Bachelor of Science, Southern Methodist University Research Focus: Dr. Duhainy's work spans RFID technology optimization, context-aware networks, and cybersecurity strategies including Multi-Factor Authentication Radio Wave Interference Nefarious Code Detection Proactive Security Planning Professional Affiliations: He maintains active memberships in IEEE, ACM, ISC², and Cisco Networking Academy, with specialized training from FBI, CIA, and NSA cybersecurity programs. Publication Trends: His research output demonstrates sustained focus on security frameworks for wireless networks (2011), homeland security implications of cyber traffic patterns (2016), and mobile security challenges for intelligence operations (2017).

Bahareh Mosadegh Sedghyمشاهده پروفایل

دانشیار

• Risk management
• Supply chain management
• International trade
• +۳ مورد دیگر

Bahareh Mosadegh Sedghy is an Associate Professor at the Dhillon School of Business , University of Lethbridge, specializing in Global Business . She joined the institution in 2017 and has taught courses such as Business of Agriculture, International Trade, Risk Management in Agriculture, and Research Methods. Ph.D. in Risk Management in Agriculture from Université Laval Former Senior Economist (7 years) at a housing corporation in Iran Lectured at the University of Science and Research in Tehran Her research focuses on international trade , supply chain management , risk management , and sustainability in agriculture . She has explored topics like organic agribusiness supply chains, price insurance programs for farmers, RFID technology in cold chain monitoring, and trade policy impacts on agricultural markets. Her publications reflect a broad interest in agricultural economics and supply chain innovations , with specific emphasis on agricultural risk assessment , trade policy , and technological applications . While one 2018 article analyzes supply response in Quebec corn farming, others address literature gaps in RFID technology and preferential trade networks. Outside academia, she enjoys dancing and outdoor activities like picnics. Her work history includes a one-year study leave at the Leibniz Institute of Agricultural Development in Transition Economies (IAMO) in 2022.

Mohammed Benaissaمشاهده پروفایل

استاد

• Hardware Cryptography
• Error-Control Coding
• Reconfigurable Hardware Design
• +۴ مورد دیگر

Mohammed Benaissa is a Professor of Information Engineering at the University of Sheffield within the School of Electrical and Electronic Engineering . As Director of Learning and Teaching (Student Experience) , he leads initiatives for academic quality and student engagement. His research bridges hardware cryptography , error-control coding , and healthcare technology , particularly in data-driven diabetes management via the WithCare+/Glucollector platform deployed in NHS trusts. Education : PhD, Dip.Ing in Electrical and Electronic Engineering Technical Leadership : Patent holder for WithCare+ (GB 2467079) His research interests span cryptosystems , residue number systems , and reconfigurable hardware , with a focus on scalable security architectures and low-power medical devices . Recent publications highlight lattice-based cryptography and AI-driven glucose prediction using NIR/MIR spectroscopy and machine learning . Scientific accolades include a best paper award for RFID security and an innovation prize for diabetes technology. He has supervised over 25 PhD students, including graduates like Abdelaal A , Al-Mbaideen A , and Khan Z U A , and serves on research funding panels and conference Technical Program Committees.

Gökay Saldamlıمشاهده پروفایل

استادیار

• Cryptography
• Cybersecurity
• Computer Architecture
• +۳ مورد دیگر

Gökay Saldamlı serves as an Assistant Professor in the Department of Electrical and Computer Engineering within the College of Engineering at Middle East Technical University (METU). His academic foundation includes undergraduate and master's degrees from METU in Mathematics, followed by a Ph.D. in Electrical and Computer Engineering from Oregon State University. His research spans critical cybersecurity domains including cryptography, RFID security protocols, and hardware-based cryptographic implementations. Key focus areas involve authentication protocol design, elliptic curve cryptography optimization, fault analysis countermeasures, and risk management frameworks for embedded systems. His work demonstrates consistent emphasis on practical security solutions for resource-constrained environments. Publication analysis reveals a strong trajectory in RFID security (2011-2012) transitioning to foundational cryptographic techniques (2004-2007), with recurring themes of efficiency and attack resilience. His collaborative work frequently addresses real-world implementation challenges in hardware security. No scientific awards or student advisement details were documented in the source material. His research appears to operate within METU's engineering infrastructure without specific lab/team mentions in the provided text.

Emmanuel Adamمشاهده پروفایل

دانشیار

• Multi-Agent Systems
• Holonic Architectures
• Self-Adaptation in Complex Systems
• +۷ مورد دیگر

Emmanuel Adam is an Associate Professor at the Department of Computer Sciences, University of Valenciennes and Hainaut-Cambrésis, France. His research focuses on Holonic Multi-Agent Systems for complex organizational modeling, with applications in manufacturing control, urban logistics, and tangible interaction technologies. Key research areas: Self-adaptation, cooperative systems, Bayesian networks, and distributed cognition Co-designer of TangiSense interactive table with RFID technology Developed holonic architectures for SACR-FRM wheelchair selection system and LUMD urban logistics optimization Scientific Leadership Organized multiple PAAMS and JFSMA conferences Co-supervised 4 PhD students in agent-based manufacturing and logistics Recipient of Best Paper Award at Ambient Systems 2013 Academic Contributions Developed multilevel MAS architectures for vehicle communication Created DEV-TangiSense development toolkit for tangible interaction Published extensively on resource mutualization and self-organizing systems

Dennis Liuمشاهده پروفایل

مدرس

• Blockchain
• Cybersecurity
• Applied Cryptography
• +۲ مورد دیگر

Dennis Liu is a Lecturer at the Department of Software Systems & Cybersecurity, Monash University. He holds a PhD, MPhil, and BSc in Computer Science from City University of Hong Kong, with over 15 years of experience in tertiary education and cybersecurity/blockchain training. BSc (1st Hons) in Computer Science, City University of Hong Kong MPhil in Computer Science, City University of Hong Kong PhD in Computer Science, City University of Hong Kong His research focuses on blockchain technologies, cybersecurity, and pedagogy. He has developed the first blockchain postgraduate program in Hong Kong and led teaching initiatives to enhance cybersecurity education through funded projects. Recent publications highlight his work in blockchain applications for logistics security, RFID/NFC integration with digital twins, and blockchain pedagogy for IT practitioners and secondary students. His research also spans computational thinking education via competitive programming. Faculty Outstanding Award in Teaching (Team) 2021/22 Faculty Merit Award in Teaching (Individual) 2019/20 Outstanding Teacher Award 2011 Best Paper Award in IEEE TALE 2019 He has served as Deputy Programme Leader for computing and blockchain programs at PolyU and acted as an External Examiner for IT and cybersecurity programs. His industrial work includes blockchain research and consultancy projects advising on cryptographic protocols and system implementations.

• RFID technology
• Biomedical signal processing
• Passive sensors
• +۳ مورد دیگر

Laura Arjona Aguilera is an Assistant Professor at the Faculty of Engineering , University of Deusto , where she conducts teaching and research activities since late 2022. She holds a PhD in RFID technology from the University of Deusto and previously worked at the University of Washington as a research associate and lecturer under the Washington Research Foundation Innovation Postdoctoral Fellowships in Neuroengineering (2018-2022). Her academic career includes a Juan de la Cierva scholarship (2022-2024) for research associate work at the University of Deusto. Education PhD in RFID technology (University of Deusto) Her research focuses on passive sensor communication , biomedical signal processing , and embedded systems for healthcare applications. Recent projects include smartwatch-based uroflowmetry systems , AI-driven muscle frailty assessment , and privacy-preserving voiding event collection . Her work spans interdisciplinary fields combining RFID technology , machine learning , and medical diagnostics . Key article trends show strong emphasis on IoT healthcare applications (60%), RFID sensor networks (25%), and muscle aging analysis (15%). Scientific Awards Postdoc Research Award (2019-present) Juan de la Cierva - Incorporation Scholarship (2022-2024) Washington Research Foundation Innovation Postdoctoral Fellowships in Neuroengineering (2018-2022) Current grants include: ECOFRAIL study (2024-2025) for muscle frailty assessment, Non-invasive uroflowmetry system (2024), and Smart mobility monitoring (2022-2025). She collaborates with institutions like E PROCESS MED S.L. , SAITEC, S.A. , and Avangroup Business Solutions Sl .

• Artificial Intelligence
• Machine Learning
• Intelligent Transportation Systems
• +۷ مورد دیگر

Enrique Onieva Caracuel is a full Professor at the University of Deusto's School of Engineering , Department of Computing, Electronics and Communication Technologies . He leads the PhD program in Engineering for the Information Society and Sustainable Development, and serves as Researcher in Intelligent Transportation Systems at DeustoTech-Mobility. His work spans 30+ research projects including EU-funded H2020 initiatives TIMON and LOGISTAR . Research Interests : Artificial Intelligence applications in transportation Machine Learning & Deep Learning Fuzzy Logic & Evolutionary Optimization Smart City solutions RFID & IoT systems Scientific Impact : 100+ publications (50+ top-tier journals), H-index 23 (Scopus), with recognition at international conferences. Advising : Supervised 6 theses including work on vehicle routing optimization, PTML models for nanotechnology, and industrial anomaly detection. Current Projects : Developing smart mobility systems, real-time passenger profiling, and ethical AI frameworks, funded by European Commission, Basque Government, and Diputación Foral de Gipuzkoa.

• RF/microwave passive components
• Electromagnetic modeling and simulation
• Flexible organic/plastic electronics
• +۴ مورد دیگر

Aleksandar Menićanin is a Senior Research Associate at the University of Belgrade’s Institute for Multidisciplinary Research since 2016, specializing in materials science for RF/microwave electronics. He earned a PhD in Electronics/Microelectronics (2011) and a Master’s in Energy Conversion (2008) from Serbian universities. Research Focus: Electromagnetic modeling, flexible electronics, EMI/EMC, and wind energy analysis. Technical Skills: Advanced use of EM simulation tools (AWR Microwave Office, Ansys), fabrication of printed passive circuits, and measurement techniques with network analyzers. His work emphasizes printed electronics on flexible substrates using silver/kapton materials, with recent publications on CPW inductors and EMI filters. He has contributed to international journals like IEEE Transactions on Magnetics and IEEE Transactions on Electron Devices . Menićanin served as a lecturer at the University of Novi Sad (2016–2019) for doctoral studies on modern microelectronic components and materials.

• Information and Communication Technology
• RFID Technology
• Cybersecurity
• +۱ مورد دیگر

Piotr Adamczyk is a Researcher at the Faculty of Cybernetics of the Warsaw University of Technology . He holds an MSc degree and focuses on Information and Communication Technology (ICT), particularly RFID technology, cybersecurity, and document management systems. Contact: Email: piotr.adamczyk@wat.edu.pl Phone: +48 26 183 71 28 Room: Building 100, Room 254a Research Interests: His work centers on advancements in RFID technology , emphasizing security protocols and document management systems . He contributes to ICT applications in cybernetics, with a focus on practical implementations in safety and data handling. Academic Achievements: • ORCID: 0000-0003-3972-6127 • h-index (WoS Citations): 1 • Total Ministerial Score: 41

• Materials Science
• E-Textiles
• Biomaterials
• +۳ مورد دیگر

Matteo Iannacchero is a Doctoral Researcher at Aalto University, affiliated with the Chemistry and Materials department and the Multifunctional Materials Design research group. His work focuses on integrating advanced materials with textile technologies. Research Interests: Development of e-textiles using biomaterials and conductive polymers Machine learning applications in material design Sustainable textile engineering Interdisciplinary collaboration for bioinnovation Recent Publications highlight his contributions to smart textiles, including machine learning-optimized polypyrrole-grafted yarns, semiconducting fiber fabrication, and sustainability-focused literature reviews.