جست‌وجوی استاد و پژوهشگر

• Optimization
• Robotics
• Data Analytics
• +۳ مورد دیگر

Ana Isabel Pinheiro Nunes Pereira serves as Professor in the Department of Mathematics at Polytechnic Institute of Bragança, where she also holds the position of vice-coordinator for the Research Centre in Digitalization and Intelligent Robotics (CeDRI). She maintains dual institutional affiliations as a research member at Minho University's Algorithm Research Centre and represents Portugal in the European Consortium of Mathematics in Industry. Her academic foundation includes a PhD in Numerical Optimization from Minho University (2006), establishing her expertise in computational mathematics. This background directly informs her current research trajectory. Professor Pereira's research program centers on Optimization and Robotics , with expanding applications in Data Analytics and Precision Agriculture . Her methodology integrates Machine Learning for biosensor enhancement and Computer Vision for agricultural disease detection, while maintaining strong commitments to innovative teaching tools in mathematical education. This interdisciplinary approach bridges theoretical computation with industrial problem-solving through her ECMI role. Recent publications demonstrate a clear trend toward sustainability-focused applications, particularly in agricultural technology (olive/vineyard systems) and medical device optimization. Her work consistently applies multi-objective clustering and predictive modeling to translate complex data into actionable solutions for healthcare and farming industries. With over thirty research projects completed, her grant portfolio emphasizes robotics implementation , optimization frameworks , and educational innovation . She has supervised 62 students across master's and doctoral programs, fostering next-generation expertise in computational mathematics. Her leadership at CeDRI drives the institute's strategic focus on digital transformation, while her Algorithm Research Centre membership enables cross-institutional collaboration on industrial mathematics challenges. These roles position her at the forefront of applied computational research in Portugal.

Valerie McTaggartمشاهده پروفایل

مدرس

• Digital Transformation
• Remote Working
• AI for Business
• +۴ مورد دیگر

Dr. Valerie McTaggart is an Academic Lecturer and Researcher in the Department of Business at Atlantic Technological University (ATU) Sligo Campus. She also serves as a Principal Investigator at the Centre for Research in Social Professions (CRiSP). Beyond academia, she acts as an evaluation expert for the European Commission and contributes to the COST working group REAL, focusing on digital technologies in civic engagement and democracy. Education : PhD in Engineering and Technology (2016–2022), Dublin City University (DCU) MSc in Consumer Buying Behaviour (2002–2004), Liverpool John Moores University Diploma in Teaching and Learning (2008), University of Galway Bachelor in Quality and Food Standards Agency (1997–1999), Queen Margaret University Research Interests : Valerie’s work explores Digital Transformation leadership, AI integration in business, Disruptive Technology analysis, and Remote Working dynamics. She also investigates Digital Humanities and Digital Marginalisation, particularly how IT-driven changes affect organizational structures and societal engagement. Her interdisciplinary approach bridges technology, management, and social sciences. Scientific Awards : Customer Professional of the Year (2006) PhD Contribution to Knowledge (2023) Public Sector Digital Transformation Awards (2024) Advising & Grants : Valerie is actively accepting PhD students and holds external roles such as Expert in the European Union’s Horizon 2020 program (2024–present) and Principal Investigator for RELINK2 (2024–2028). These roles highlight her engagement in large-scale research initiatives and policy-related projects. Labs/Teams : As Principal Investigator at CRiSP, she leads research in social professions, emphasizing digital technologies’ societal impact. Her collaborations span institutions in Alaska, Hawaii, and other regions, reflecting a global research network focused on digital transformation and civic engagement.

Martin Kuentzمشاهده پروفایل

استاد

• Pharmaceutical Technology
• Drug Delivery Systems
• Oral Formulations
• +۳ مورد دیگر

Prof. Martin Kuentz is a Professor of Pharmaceutical Technology at the University of Applied Sciences and Arts Northwestern Switzerland (FHNW), leading the research group on Quality by Design of oral dosage forms. His primary affiliation is with the School of Life Sciences and the Institute for Pharma Technology and Biotechnology . He holds a Ph.D. in Pharmaceutical Technology from the University of Basel (1999) and a Pharmacist degree (1995). Prior to academia, he worked at F. Hoffmann-La Roche Ltd. as a Senior Scientist and Coordinator of Galenical Development Projects. Research Focus: His work centers on lipid-based formulations, amorphous solid dispersions, and computational tools for drug delivery. Key techniques include Raman spectroscopy, UV imaging, and molecular dynamics simulations. He has pioneered methods to enhance solubility of poorly water-soluble drugs using mesoporous silica, hydrophobic deep eutectic solvents (HDES), and machine learning-driven approaches. Publications & Awards: Prof. Kuentz has authored over 90 peer-reviewed articles and received awards such as the IPEC Foundation Best Manuscript Award (2014) and multiple Best Poster Awards at Swiss Pharma Science Days (2012–2015). He is a member of the American Association of Pharmaceutical Scientists (AAPS), Arbeitsgemeinschaft der Pharmazeutischen Verfahrenstechnik (APV), and the Swiss Society of Industrial Pharmacists (GSIA). Teaching: He teaches courses on industrial processes in life sciences, pharmaceutical chemistry, and quality management at both bachelor and master levels. He is certified in university didactics from the University of Basel (2008). Lab/Team: Leads the Oral Formulations for Chemical Drugs research team at FHNW. Grants/Advising: Supervises multiple Early Stage Researchers (ESRs) in the PEARRL network, including main supervision of ESR 2 and ESR 5, and co-supervision of ESR 1, 3, 4, and 6.

Kyunghee Leeمشاهده پروفایل

استادیار

• Digital Platforms
• Business Value of IT
• IT-enabled Business Models
• +۳ مورد دیگر

Kyunghee Lee serves as an Assistant Professor of Information Systems at McGill University's Desautels Faculty of Management, teaching core analytics courses including Data Handling and Coding for Analytics (INSY 336) and Data Mining for Business Analytics (INSY 446). Previously, he held an Assistant Professor position at Wayne State University's Mike Ilitch School of Business. Dr. Lee earned all his academic credentials from the Korea Advanced Institute of Science and Technology (KAIST), completing a PhD and MS in Managerial Engineering with Information Systems specialization, and a BS in Electrical Engineering. His research program critically examines digital platform ecosystems through three interconnected lenses: the business value of IT in organizational contexts, IT-enabled business model innovation , and societal transformations driven by technology. He employs advanced computational methodologies to investigate how information systems reshape interorganizational relationships and strategic outcomes, with particular attention to platform-mediated economic activities. Analysis of Dr. Lee's recent publications reveals consistent focus on real-world business transformations, with studies spanning cross-border acquisition dynamics, urban transportation disruption by ride-hailing services, and social commerce mechanics. His work in premier journals like MIS Quarterly demonstrates rigorous empirical approaches to understanding how digital platforms create value and reshape industry structures across diverse economic sectors. While specific advising activities and grant funding details are not documented in available materials, Dr. Lee's research trajectory indicates active engagement with pressing business challenges through methodologically sophisticated investigations of information systems phenomena.

Feiran Zhaoمشاهده پروفایل

پژوهشگر

• Data-Driven Control
• Adaptive Control
• Reinforcement Learning
• +۲ مورد دیگر

Feiran Zhao is a Researcher at the Institute of Automatic Control, part of the Department of Mechanical and Process Engineering at ETH Zürich. He holds a B.S. in Control Science and Engineering from Harbin Institute of Technology (2018) and a Ph.D. from Tsinghua University (2024). His research focuses on data-driven control, adaptive control, reinforcement learning, and their applications in engineering systems. Zhao is currently a postdoc under Prof. Florian Dorfler at ETH's Automatic Control Lab. Research interests span topics like policy optimization for LQR systems, quantized feedback control, and model predictive control acceleration. His work bridges machine learning and classical control theory, with applications in robotics, power systems, and aerospace engineering. His publications (2019–2025) explore theoretical foundations of policy gradient methods, convergence analysis, and practical implementations in autonomous systems. Though no awards are explicitly listed, his active research in high-impact areas suggests potential recognition. As part of the Automatic Control Lab, Zhao collaborates on projects involving data-enabled control strategies and real-world system applications. No student advisees are currently listed.

• Smart Textiles
• RFID Technology
• Wearable Devices
• +۵ مورد دیگر

Johanna Virkki is an Associate Professor at the Department of Computing Sciences, Faculty of Information Technology and Communication Sciences, Tampere University. Her research focuses on smart textiles, wearable technologies, RFID systems, and their applications in healthcare, assistive communication, and human-computer interaction. She has pioneered projects integrating RFID into clothing and environments for control interfaces, physiological monitoring, and gamified therapies. Key research areas include: Development of e-textiles for AAC (Augmentative and Alternative Communication) RFID-based wearable and furniture interfaces for accessibility Sensor systems for healthcare monitoring and rehabilitation Smart spaces and IoT-enabled environments Her work emphasizes interdisciplinary collaboration, with notable contributions in: Passive RFID sensor platforms for moisture, strain, and physiological signals Co-design approaches involving speech therapists, engineers, and end-users Prototyping wearable devices for children with disabilities and elderly care Recent publications highlight advancements in: Smart furniture and textile-based AAC solutions AI-driven smart spaces and edge-cloud computing Bio-inspired sensors using animal hair and conductive yarns Johanna's research bridges technology and human needs, addressing challenges in healthcare, education, and accessibility through innovative textile and RFID systems.

• Data Privacy
• Cyber Security
• Cloud Security
• +۵ مورد دیگر

Professor Xun Yi is a faculty member at RMIT University's School of Computing Technologies, specializing in cybersecurity, data privacy, and distributed computing. His research focuses on privacy-preserving technologies in cloud systems, blockchain applications, federated learning, and secure communication protocols. He has published over 150 papers in top-tier journals and conferences, including IEEE Transactions on Dependable and Secure Computing. Since 2014, he has served as an Associate Editor for the IEEE Transactions on Dependable and Secure Computing, and has organized major events like the Australasian Information Security Conference (AISC) in 2015 and 2016. Professor Yi actively supervises PhD and Master's research projects, focusing on topics like secure IoT systems, privacy-aware machine learning, and blockchain-enabled frameworks. His work emphasizes practical solutions for real-world challenges in data security and privacy. Research Interests: Data Privacy, Cyber Security, Cloud Security, Wireless/Mobile Security, Applied Cryptography Blockchain-based Systems, Federated Learning, Privacy-Preserving AI Recent Contributions: Developed frameworks for secure data aggregation in smart grids and healthcare systems Advanced techniques for privacy-preserving federated learning and graph neural networks Contributed to standards for secure authentication in vehicular networks (VANETs) Supervision: Open to mentoring students in cybersecurity, privacy-enhancing technologies, and IoT security.

• Virtual Reality
• Augmented Reality
• Mixed Reality
• +۳ مورد دیگر

Dr. Gun A. Lee serves as a Senior Research Fellow at the Empathic Computing Lab within the School of Information Technology and Mathematical Sciences at the University of South Australia. He concurrently holds an Adjunct Senior Fellow position at the HIT Lab NZ, University of Canterbury. His academic journey spans multiple institutions with significant contributions to extended reality research. Dr. Lee's educational foundation includes: Ph.D. in Computer Science and Engineering from POSTECH (2002-2009) M.S. in Computer Science and Engineering from POSTECH (2000-2002) B.S. in Computer Science from Kyungpook National University (1996-2000) His research centers on extended reality technologies and their applications. Dr. Lee's work explores Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR) systems with emphasis on creating immersive experiences for learning, training, and collaboration. His concept of 'Immersive Authoring' represents a significant contribution to the field, enabling content creation while immersed in the experience itself. In Human-Computer Interaction, he develops novel interaction techniques that leverage natural human behaviors and multimodal inputs, particularly focusing on eye tracking, gesture recognition, and spatial awareness. Analysis of Dr. Lee's recent publications reveals a clear trajectory from foundational AR frameworks to sophisticated collaborative mixed reality systems. His work increasingly integrates social and emotional dimensions into remote collaboration, with projects like SharedSphere demonstrating practical applications of live 360-degree mixed reality. The research consistently bridges theoretical HCI principles with real-world applications across education, professional training, and entertainment domains. As a Research Degree Supervisor, Dr. Lee mentors graduate students in extended reality and human-computer interaction. His teaching portfolio includes the 'Human Interface Technology - Design and Evaluation' course at the HIT Lab NZ, where he specialized in evaluation methodologies for interactive systems across multiple semesters from 2014-2016. He has also conducted specialized workshops including 'The Glass Class' on Google Glass development. At the Empathic Computing Lab, Dr. Lee leads research initiatives focused on creating technologies that enhance human connection. His project portfolio spans from fundamental interaction research like 'Interaction with Augmented Mirrors' to applied mobile AR applications including CityViewAR, AntarcticAR, and GeoBoids. His work on the Mobile AR Framework represents significant infrastructure development for the field, while projects like VPS (VR-based Paint Spray Training Simulator) demonstrate practical industrial applications of his research.

• Smart Grid
• IoT Data Management
• Cloud Resource Management
• +۳ مورد دیگر

Thanasis Papaioannou is a Senior Researcher at the STEcon lab at Athens University of Economics and Business (AUEB), where he has been since 2006. He concurrently teaches Python Programming and Android Programming at the University of Thessaly and Data Management in IoT at the Technological Educational Institute of Thessaly. His research focuses on smart grid demand-side management, IoT data management, gamification for energy conservation, and privacy mechanisms in distributed systems. Education: He holds a B.Sc. (1998), M.Sc. (2000) in Computer Science from the University of Crete, and a Ph.D. (2006) in Informatics from AUEB. He has held postdoctoral roles at EPFL (2008-2013) and positions at CERTH (2013-2016). Research Interests: His work spans IoT-enabled gamification for energy efficiency, decentralized management frameworks, and blockchain applications for trustworthy systems. Notable contributions include frameworks like ONTOCHAIN and CHArGED, addressing challenges in energy conservation and distributed trust. Publications: Over 65 papers in high-impact venues including IEEE Transactions on Smart Grid and ACM e-Energy. Recent work emphasizes blockchain-semantic convergence, decentralized IoT governance, and energy market coordination under uncertainty. Professional Impact: Project manager in 17 national/EU projects, with over 1200 citations. Advises on energy systems and decentralized technologies, emphasizing user-centric design and behavioral interventions.

Yuchao Liuمشاهده پروفایل

مدرس

• Power Converters
• Model Predictive Control
• Motor Drives
• +۵ مورد دیگر

Dr. Yuchao Liu is a Lecturer in the Department of Mathematics, Physics & Electrical Engineering at Northumbria University since January 2023. Previously, she held academic roles at Harbin Engineering University (2019–2021) and the University of Nottingham (2021–2022 as a Research Fellow in the PEMC Group). She earned her Ph.D. in Electrical Engineering from Harbin Institute of Technology (2019) and was a visiting scholar at Imperial College London (2017–2018). Her research focuses on power electronics, renewable energy integration, and control systems. Key areas include power converter design, model predictive control (MPC), multi-terminal DC transmission (MTDC), and motor drives. She has contributed to EU Horizon 2020 projects like the IMOTHEP initiative. Her publications span topics such as battery state-of-health estimation, DC-DC converter optimization, and grid stability analysis. She actively seeks PhD students and has collaborated internationally on projects addressing sustainable energy challenges. Her work aligns with UN Sustainable Development Goals, particularly in enabling clean energy transitions and advancing sustainable infrastructure.

• Embedded Systems
• Mobile Computing
• Wireless Sensing
• +۲ مورد دیگر

Shahriar Nirjon is an Assistant Professor in the Department of Computer Science at UNC Chapel Hill, where he leads research on embedded intelligence systems. His work focuses on developing ultra-low-power devices capable of adaptive machine learning for health monitoring and mobile applications. Dr. Nirjon's Intermittent Learning framework enables energy-harvesting devices to continuously adapt to changing environmental conditions and input patterns. His research encompasses: Energy-harvesting sensor systems Adaptive machine learning for embedded devices Mobile health monitoring technologies Wireless sensing platforms Robust embedded intelligence He has received multiple best paper awards at premier conferences including MOBISYS, RTAS, DCOSS, and AIChallengeIoT. Dr. Nirjon is a recipient of the NSF CAREER Award for his work on intermittent learning systems.

• Optical Fibers
• Photonics
• Materials Science
• +۷ مورد دیگر

Professor Heike Ebendorff-Heidepriem is a Professor in the School of Physics, Chemistry and Earth Sciences at the University of Adelaide. She serves as Deputy Director of the Institute for Photonics and Advanced Sensing (IPAS) and Director of the Optofab Adelaide Hub within the Australian National Fabrication Facility (ANFF). Her research focuses on advanced optical fiber fabrication, materials science, and photonics applications, including high-precision glass extrusion, exposed-core fibers, and quantum sensing. She leads a multidisciplinary team of over 20 researchers and has secured >$20M in funding, collaborating with global industry and academic partners. Her work spans fiber lasers, mid-infrared photonics, and sensor technologies, with significant contributions to nanomaterial integration and plasmonic processes. She has supervised 12 PhD and 5 HDR students over 15 years, emphasizing mentorship in photonics and materials innovation. Research Interests: Professor Ebendorff-Heidepriem specializes in developing novel optical fibers and glasses for applications such as high-power laser delivery, nonlinear optics, and evanescent field sensing. Her team pioneers fabrication techniques like billet extrusion and ultrasonic milling, enabling structures like suspended nanowire-core fibers and diamond-doped sensors. Key areas include mid-infrared materials (tellurite, fluoride glasses), plasmonic nanoparticle embedded glasses, and portable sensing solutions for mining and biomedical fields. Labs/Teams: IPAS and Optofab Adelaide Hub provide advanced facilities for fiber fabrication, laser development, and materials characterization. Her collaborations include 82 university groups and 30 industry/defense partners, driving commercialization of technologies like gold nanoparticle-based colored glass and diamond-doped fiber sensors.

• Strategic Management
• Project Management
• Healthcare Information Systems
• +۷ مورد دیگر

Jorge Manuel Vareda Gomes is a Researcher at the Instituto Superior de Economia e Gestão , Universidade de Lisboa, focusing on strategic management, project success frameworks, and healthcare information systems. His work bridges organizational maturity with benefits management and explores blockchain applications in supply chain transparency. Primary Affiliation : Instituto Superior de Economia e Gestão, Universidade de Lisboa Research Interests include: Strategic alignment via Balanced Scorecard Leadership dynamics in project environments Digital transformation in public administration Green building certification challenges Blockchain-enabled supply chain traceability Healthcare IT project success factors Recent Publications (2018–2025) show a trend toward integrating benefits management with organizational maturity, extending to applications in healthcare, tourism, and defense sectors. His work combines empirical case studies with theoretical model development.

Wijnand IJsselsteijnمشاهده پروفایل

استاد

• Human-Technology Interaction
• Cognitive Psychology
• Affective Computing
• +۷ مورد دیگر

Wijnand IJsselsteijn is a Full Professor at the Eindhoven University of Technology in the Department of Industrial Engineering and Innovation Sciences , affiliated with the Human Technology Interaction group and the Eindhoven AI Systems Institute (EAISI). His research bridges psychology and technology design, focusing on digital environments' impact on human learning, health, and wellbeing. Academic background in Artificial Intelligence and Cognitive Neuropsychology (MSc, Utrecht University), PhD in Telepresence (2004). Leadership roles: Scientific Director of the Center for Humans and Technology, board member of EAISI . Research interests include: Measuring human experiences in immersive media and serious games . Integrating data science and AI into psychological frameworks. Designing sensor-enabled mobile technologies and virtual environments for behavior tracking. Recent publications highlight: Human-robot interaction strategies for health behavior change (2025). Emotional bonding with robots through caregiving (2025). Machine Ethics challenges in aligning computer scientists and ethicists (2025). Cybersecurity breach responses in domestic IoT contexts (2024). Grants & Awards: NWO Gravitation grant "Ethics of Socially Disruptive Technologies" (co-PI). Support from EU FP6, FP7 , and H2020 grants. Additional affiliations include part-time professorship at the Jheronimus Academy of Data Science (JADS).

Shivaun D. Archerمشاهده پروفایل

مدرس ارشد

• Biomedical Engineering
• Bioengineering
• Nanobiotechnology
• +۶ مورد دیگر

Dr. Shivaun D. Archer is a Senior Lecturer in the Department of Biomedical Engineering at Cornell University's College of Engineering, where she leads the Biomedical Engineering Undergraduate Instructional Laboratories. She designs and teaches hands-on laboratory modules for courses BME 1310, BME 3010, BME 3020, BME 4010, and BME 4020, integrating research-focused experiences in microfabrication, microfluidics, biosensors, nanobiotechnology, and drug delivery. Educational Background: B.A., Chemical Engineering, Cambridge University, 1989 M.Eng., Chemical Engineering, Cambridge University, 1990 M.Sc., Chemical Engineering, University of California, Davis, 1992 Ph.D., Chemical Engineering, University of California, Davis, 1996 Her research interests lie at the intersection of nanobiotechnology and tissue engineering , with a strong emphasis on translating advanced technologies into undergraduate education. She holds a joint appointment as a Research Associate in the School of Chemical and Biomolecular Engineering, further enabling interdisciplinary collaboration. The recent publications highlight a dual focus: advancing nanoparticle-biological interactions and innovating STEM education through model-based and inquiry-driven curricula for both university and high school students. Her work spans from fundamental bioprocess engineering to cutting-edge microfluidic systems and their pedagogical implementation. Scientific Awards and Honors: Elected Fellow, American Institute for Medical and Biological Engineering (AIMBE), 2023 James and Mary Tien Excellence in Teaching Award, 2015 Zellman Warhaff Commitment to Diversity Award, College of Engineering, Cornell University, 2009 Sonny Yau Excellence in Teaching Award, Cornell University, 2005 NASA Invention Space Act Award, NASA, 2005 NASA Invention Space Act Award, NASA, 2003 Dr. Archer has made significant contributions to undergraduate research training and inclusive engineering education . Her leadership in curriculum development has been recognized through multiple teaching awards. She has also secured recognition for her past research contributions, including two NASA awards for innovations in wastewater treatment for long-term space missions. While no current grants are listed, her role in developing instructional labs suggests ongoing support for educational innovation. She is actively involved in the academic mission of Cornell Engineering, particularly through her integration of research and teaching. Her work with ex-ovo chicken models and alginate hydrogels demonstrates a commitment to accessible, inquiry-based science education that bridges engineering and biology.