جستجوی استاد راهنمای دانشگاهی

Ahmed Farooqمشاهده پروفایل

مدرس

• Haptics
• Multimodal Interaction
• Human-Computer Interaction
• +۷ مورد دیگر

Ahmed Farooq is a University Lecturer and Senior Researcher at the Tampere Unit for Computer-Human Interaction (TAUCHI), Tampere University. He holds a PhD in Computer Science and has over 20 years of experience in haptic and multimodal interaction systems. His current role combines academic teaching (e.g., HI 520 Haptic Interaction course) with advanced research in haptic mediation, wearable technologies, and AI-driven interaction systems. Affiliations: TAUCHI Research Group, Tampere Institute of Advanced Studies (TIAS) Positions: Permanent Lecturer (2024–present), TIAS Postdoctoral Fellow (2022–2024), Visiting Researcher at McGill University (2020) and Purdue University (2019–2020) Research Interests: Haptic signal mediation, 3D-printed haptic waveguides, magnetorheological fluid actuators, AI integration in multimodal systems (e.g., TAUCHI-GPT), and applications in automotive UI, VR/XR, and food interaction systems. His work focuses on reducing driver distraction, enhancing tactile feedback in virtual environments, and developing ethical AI tools. Key Projects: Origo Steering Wheel (German Design Award, 2021), Augmented Eating Experiences (AEE), Huawei Haptic Mediation, and TAUCHI-GPT open-source AI framework. These projects involve collaboration with industry partners like Huawei and Bentley University. Publications: Over 60 peer-reviewed articles in top venues (ACM, IEEE, EuroHaptics) focusing on haptic actuation, multimodal interaction, and AI ethics. Recent work explores prompt injection attacks in LLMs and implantable haptic actuators. Awards: TIAS Postdoctoral Fellowship (2022–2024), Finnish Cultural Foundation Mobility Grant (2018). His research has led to 9 patents (e.g., multifunctional haptic actuator, 2024) and 6 granted US/Japan patents.

• Neuroscience
• Brain Pathophysiology
• Speech and Language Disorders
• +۴ مورد دیگر

Nabin Koirala is an Associate Research Scientist at Yale University's Child Study Center, where he conducts interdisciplinary research at the intersection of neuroscience, engineering, and clinical applications. His work focuses on understanding brain pathophysiology in neurological and neuropsychological disorders and developing disease-specific brain biomarkers. Dr. Koirala's educational background reflects a strong interdisciplinary foundation: PhD in Neuroscience from Johannes Gutenberg University (2019) MSc in Engineering & Neuroscience from Christian Albrechts University (2014) BE in Engineering from Tribhuvan University (2010) Postdoctoral Researcher at Haskins Laboratories (2022) His research program investigates the neural correlates of speech, hearing, and language-related disorders using multi-modal brain imaging and electrophysiological data. He applies state-of-the-art frameworks of complex network algorithms and machine learning approaches to analyze brain connectivity and function. Dr. Koirala's work spans several key areas including cochlear implant research, brain network analysis in neurological conditions, machine learning applications in neuroscience, deep brain stimulation mechanisms, and speech and language processing in the brain. His publication record demonstrates significant contributions to understanding how socioeconomic status influences brain circuitry for literacy, neural characteristics affecting literacy outcomes in children with cochlear implants, and the application of artificial intelligence in epilepsy care, particularly in resource-limited settings. His research often employs advanced neuroimaging techniques including EEG and functional near-infrared spectroscopy to examine cross-modal plasticity and sensory integration. Dr. Koirala collaborates extensively with researchers across disciplines, with frequent co-authorship with Vincent Gracco and Nicole Landi. His work bridges basic neuroscience with clinical applications, particularly in pediatric populations and neurological conditions including Parkinson's disease, multiple sclerosis, and stroke.

• Distributed Systems
• Networks
• Security
• +۵ مورد دیگر

Patrick Thomas Eugster is a Full Professor of Computer Science at the Università della Svizzera italiana (USI), leading the Software Systems (SWYSTEMS) group within the Computer Systems Institute, which he co-founded. Previously, he held faculty positions at Purdue University (2005-2016) and TU Darmstadt (2014-2017), with a visiting role at MIT (2012/2013). His research focuses on distributed systems, networking, security, and programming languages, with over 160 publications and significant industry collaborations with companies like Amazon, Google, and Facebook. Education: He holds an M.S. (1998) and Ph.D. (2001) in Computer Science from École Polytechnique Fédérale de Lausanne (EPFL). Research Interests: His work addresses distributed systems challenges such as fault-tolerance, security, and efficient resource management. Recent topics include datacenter reliability, quantum network verification, and confidential computing. His team explores intersections between systems, languages, and networks to build robust and secure distributed applications. Publications: Recent work spans topics like failure detection in datacenters, formal verification of systems, and network congestion control. Key venues include USENIX ATC, ACM SIGMETRICS, IEEE Network, and TACAS. His 2025 work on failure detection and TCAM encoding exemplifies contributions to system resilience and hardware optimization. Awards: Jean-Claude Laprie Award (2025), TACAS Best Paper (2025), ERC Consolidator Grant (2014), NSF CAREER Award (2007). Advising & Grants: Supervised over 20 PhD and postdoctoral researchers. Active grants include EU Horizon Europe CloudStars, Swiss National Science Foundation, and industry partnerships with Cisco and SAP. Labs & Teams: Directs the SWYSTEMS group, collaborating on projects like secure cloud analytics, quantum network verification, and datacenter monitoring. Former students hold roles at universities, tech firms, and startups.

Gunar Schirnerمشاهده پروفایل

دانشیار

• Embedded Systems
• Cyber-Physical Systems
• Hardware/Software Co-Design
• +۴ مورد دیگر

Gunar Schirner is an Associate Professor of Electrical and Computer Engineering at Northeastern University's College of Engineering . He holds a Ph.D. and M.S. from the University of California, Irvine, and a B.Sc. from Berufsakademie Berlin. His research focuses on embedded systems, cyber-physical systems, and hardware/software co-design, with emphasis on embedded vision and system-level methodologies. Education: Ph.D. & M.S. in Electrical and Computer Engineering, University of California, Irvine (2008, 2005) Bachelor's in Computer Engineering, Berufsakademie Berlin, Germany (1998) Research Interests: Embedded system modeling, real-time AI on edge devices, accelerator-rich computing architectures, and assistive robotics. His work bridges algorithm design with system-level implementation, including projects on neural-controlled prosthetics and marine mammal monitoring via passive acoustic sensing. Grants & Collaborations: Schirner leads/navigate grants totaling over $2M from the National Science Foundation (NSF), U.S. Army, and Office of Naval Research, including a $13M Army contract for distributed sensing research. He co-directs the Embedded Systems Laboratory , advancing heterogeneous platform design and embedded vision systems. Students & Impact: His advisees, including Mo Han and Yagmur Gunay, have won best paper awards at PETRA 2019. He actively integrates industry experience (e.g., Alcatel-Lucent) into teaching, mentoring students in both academia and industry.

• Sound Synthesis
• Physical Modeling
• Virtual Reality Audio
• +۶ مورد دیگر

Cumhur Erkut is an Associate Professor in the Sound and Music Computing group within the Department of Architecture, Design and Media Technology at Aalborg University, Copenhagen, Denmark. With a publication record spanning over two decades from 2000 to present, his research bridges computer science, audio engineering, and creative arts. His primary research interests include Sound Synthesis, Physical Modeling of musical instruments, Virtual Reality Audio, Sonic Interaction Design, and Embodied Interaction. His work demonstrates a consistent focus on the intersection of technology and human experience, particularly in how sound and movement interact in digital environments. His recent publications show a strong shift toward AI-driven audio processing, voice conversion, and differentiable digital signal processing techniques. Dr. Erkut's publication trends reveal an evolution from traditional physical modeling of musical instruments (particularly string instruments like tanbur, clavichord, and guitar) toward more contemporary applications in virtual reality, embodied interaction, and AI-powered audio processing. His work consistently emphasizes real-time performance considerations and human-centered design principles. He has served in significant academic roles, including organizing the 17th International Conference on New Interfaces for Musical Expression (NIME 2017) at Aalborg University, demonstrating his leadership within the international research community. His collaborative network is extensive, with frequent co-authorship with Stefania Serafin, Vesa Välimäki, Antti Jylhä, Rolf Nordahl, and other prominent researchers in the sound and music computing field. These collaborations span multiple institutions across Europe, reflecting the international nature of his research.

Tomasz Kapitaniakمشاهده پروفایل

استاد

• Theory of dynamical systems
• Theoretical mechanics
• Bifurcation and chaos
• +۶ مورد دیگر

Tomasz Kapitaniak is Professor of Theoretical and Applied Mechanics and Head of the Division of Dynamics at Lodz University of Technology since 1992. His academic career spans over three decades with significant international engagement including visiting professorships at University of Leeds and University of Maryland. Professor of Mechanics, Faculty of Mechanical Engineering (1992-present) Head of Division of Dynamics (1992-present) Lecturer in Mechanics (1983-1989) Visiting Research Professor, University of Leeds (1989-1991) Visiting Research Professor, University of Maryland (1998) His research focuses on nonlinear dynamics , with pioneering work in chaos control, bifurcation theory, and synchronization mechanisms in mechanical systems. Key contributions include developing nonfeedback chaos control methods, identifying new bifurcation types, and explaining randomness origins in mechanical systems. His work bridges theoretical mechanics with practical applications in complex dynamical systems. With over 300 publications in Clarivate Analytics journals and 6000+ citations, his research demonstrates sustained impact in dynamical systems theory. His publication portfolio shows consistent specialization in nonlinear phenomena across mechanical engineering contexts. Elected Full Member, Polish Academy of Sciences (2019) President's Award, Polish Academy of Sciences (2019) Doctor Honoris Causa, Lublin University of Technology (2015) Corresponding Member, Polish Academy of Sciences (2013) Minister of Science Awards (2006, 1995, 1989) Professor Kapitaniak serves on editorial boards of multiple journals and is Honorary Editor of the International Journal of Bifurcation and Chaos. He has delivered over 100 plenary/symposia lectures and 250 seminars worldwide, demonstrating extensive academic leadership. His research program has attracted significant international fellowships including Fulbright and British Council awards. He leads the Division of Dynamics research group at Lodz University of Technology, focusing on experimental and theoretical aspects of nonlinear mechanical systems. The team maintains active collaborations with institutions including Saratov State University and University of Aberdeen.

• Virtual Reality
• Augmented Reality
• Educational Technology
• +۷ مورد دیگر

Roghayeh Barmaki is a researcher with extensive publications in virtual reality, augmented reality, and educational technology. Her work spans rehabilitation systems, autism therapy, and neuroimaging analysis using fNIRS. She collaborates with institutions including Georgia Institute of Technology and University of Florida. Key Collaborators : Anjana Bhat, Jicheng Li, Shayla Sharmin, Vuthea Chheang Research Themes : Wearable sensors, LSL framework, movement synchrony, multimodal learning analytics Research Interests She focuses on immersive technologies for education and therapy, with expertise in: Functional Near-Infrared Spectroscopy (fNIRS) for cognitive engagement Wearable sensor integration in rehabilitation Gender perspectives in AR/VR education Multimodal affect analysis for autism Privacy-preserving behavioral analytics 3D visualization for anatomy training Publication Trends Recent work emphasizes fNIRS applications in gaming environments and hybrid deep learning models for cognitive analysis. Earlier studies focused on gesture recognition, movement synchrony estimation, and autism intervention datasets. Impactful Projects She developed the MMASD dataset for autism research and contributed to VR therapy systems. Her collaborations include: Georgia Tech's Autism Technology Research University of Florida's TeachLivE virtual classroom Germany's AIxVR conference contributions International collaborations on sensor systems

Elisabeth Andréمشاهده پروفایل

استاد

• Tangible user interfaces
• Perceptive user interfaces
• Interactive multimodal user interfaces
• +۱۰ مورد دیگر

Elisabeth André is a Full Professor of Computer Science and Chair of Multimedia Concepts and Applications at University of Augsburg, where she has been faculty since 2001. She previously served as Managing Director of the Institute for Computer Science at Augsburg University from 2004 to 2006. Professor André has received multiple prestigious professorship offers, including W3-Professorships in Human-Computer Interaction and Cognitive Systems from University of Stuttgart and Human-Machine Interaction from Otto-Friedrich-Universität Bamberg in 2009. Her academic journey began with a Diploma in Computer Science (1988) and Dr. rer. Nat. (1995) from Saarland University. Before joining Augsburg, she spent over a decade as a Scientific Researcher at DFKI GmbH (German Research Center for Artificial Intelligence), where she rose to Principal Researcher and was appointed a DFKI Research Fellow. Professor André's research focuses on designing and evaluating interactive multimodal user interfaces, experimental learning environments with animated characters, and affective computing. She is internationally recognized as a pioneer in embodied conversational agents, having organized one of the first international workshops on the topic in 1997. Her work stands out for its empirical foundation, including extensive corpus studies of human behaviors to inform virtual agent behavior modeling. Notably, she has conducted significant cross-cultural research with Japanese partners to develop culture-specific behaviors in virtual agents. Her publication record shows a consistent trajectory of innovation in human-computer interaction, with particular emphasis on multimodal analysis, gaze behavior simulation, and emotion recognition systems. The research trends in her recent work demonstrate increasing sophistication in input recognition methods and the development of practical toolboxes (AuBT, EmoVoice, SSI) that have been adopted by research institutions worldwide. 2007 Alcatel-Lucent Fellowship at Universität Stuttgart Best Paper Finalist at International Conference on Intelligent Virtual Agents (2007-2009) 2005 Convivio Best Demo Award 2000 Best Paper Award at International Conference on Intelligent User Interfaces 1998 RoboCup Scientific Award Multiple student projects winning international awards including GALA Awards and TEI conference awards Professor André has supervised 2 completed dissertations and is currently guiding 11 PhD students and 1 Habilitation candidate. Her leadership extends to major research projects including EU-funded initiatives (METABO, E-Circus, IRIS, DynaLearn, CALLAS) and DFG projects (CUBE-G, OC-Trust). She serves on numerous editorial boards and has held significant organizational roles in major conferences including IUI, IVA, and CASA. Her laboratory has developed multiple software toolkits that are used internationally in large-scale research projects, demonstrating the practical impact of her work. Current research directions include advanced emotion recognition systems, culture-adaptive virtual agents, and applications of her technology to educational and healthcare domains.

• Biological Control Systems
• Nonlinear Systems and Control
• Robotics
• +۴ مورد دیگر

Professor Zhiyong Chen is a faculty member at the University of Newcastle, affiliated with the School of Engineering and the Electrical and Computer Engineering Department. He holds the rank of Professor and specializes in control systems, robotics, and nonlinear dynamics. His research focuses on biological control systems, swarm intelligence, and adaptive control strategies for complex systems. Chen has authored influential textbooks such as Stabilization and Regulation of Nonlinear Systems: A Robust and Adaptive Approach (2015), which provides foundational knowledge in nonlinear control theory. Education: PhD from the Chinese University of Hong Kong. Research interests include multi-agent systems, fault-tolerant control, and reinforcement learning applications. His work emphasizes practical implementations in robotics, transportation systems, and aerospace engineering. He has contributed to over 212 journal articles and 119 conference papers, addressing challenges in distributed control, cybersecurity in cyber-physical systems, and autonomous synchronization. Chen's recent projects involve cooperative control of high-speed trains, resilient multi-agent systems under cyber attacks, and physics-informed reinforcement learning. His methodologies often integrate theoretical rigor with real-world applications, such as nanopositioning systems and fault diagnosis in mechanical systems. Grants and collaborations highlight his role in interdisciplinary research, combining control theory with machine learning and cryptography for secure networked systems. His lab focuses on advancing adaptive control techniques and their deployment in safety-critical environments.

Beatriz Soretمشاهده پروفایل

دانشیار

• Satellite Communications
• Internet of Things (IoT)
• Wireless Networks
• +۳ مورد دیگر

Beatriz Soret is an Associate Professor at Aalborg University's Department of Electronic Systems, part of The Technical Faculty of IT and Design. Her research focuses on satellite communications, IoT, wireless networks, and AI-driven network systems. She leads and collaborates on projects like STELLAR (2019-2021) and SATNEX V WI Y4.6 (2024-2025), addressing latency, reliability, and real-time data challenges in 6G and satellite networks. Her work emphasizes distributed computing, edge computing for Earth observation, and semantic communication frameworks. Key publications include advancements in RAN slicing for VR traffic, coded distributed computing, and AI-integrated network layers. She actively contributes to special issues on distributed intelligence and 6G technologies. Her research spans theoretical and experimental analyses of delay, age of information, and network performance in scenarios like LEO satellite constellations and industrial IoT. She collaborates with institutions globally, advancing non-terrestrial networks and smart connectivity solutions.

Elizabeth Jochumمشاهده پروفایل

دانشیار

• Human-Robot Interaction
• Health Technology
• Art and Technology
• +۴ مورد دیگر

Elizabeth Jochum is an Associate Professor at the Department of Communication and Psychology, Aalborg University, within the Faculty of Social Sciences and Humanities. She heads the Research Laboratory for Art and Technology (RELATE) and coordinates projects like the European ABRA initiative on Artificial Biology, Robotics, and Art, and the ImprovAIze project linking machine learning with dance and wearables. Her research bridges visual/performing arts with robotics and assistive technologies to foster human-centered, value-sensitive designs addressing societal needs. Education: PhD in Theatre (University of Colorado Boulder, 2013), MA in Theatre (2008), BA in Theatre and Italian (Wellesley College, 2001). Research focuses on transdisciplinary collaboration in human-robot interaction, health, and engineering. Notable projects include CRERoB (Center for Rehabilitation Robotics) and AHH (Arts, Health, and Humanities cluster). She also serves as a Part-Time Lecturer at IT University of Copenhagen (2016). Awards: Recognized among the Top 50 Women in Robotics by Robohub (2021). Key contributions span creative robotics in theatre, socially assistive robots for mental health, and AI-driven dance improvisation. Administrative roles include Semester Coordinator for Art and Technology, Study Board Member for KUNST (Art, Health, and Technology), and coordinator for Erasmus Mundus Joint Masters in Media Arts Cultures. Her work emphasizes ethical, inclusive, and artistic approaches to technology.

Fernando Pedoneمشاهده پروفایل

استاد

• Dependable Distributed Systems
• Distributed Algorithms
• Distributed Data Management Systems
• +۶ مورد دیگر

Fernando Pedone is a Full Professor at the Faculty of Informatics, Università della Svizzera italiana (USI), leading the Computer Systems Institute (SYS). He holds a Ph.D. in Computer Science from EPFL (1999). His research focuses on dependable distributed systems, distributed algorithms, and fault-tolerant data management. Pedone has authored over 70 papers and co-edited 'Replication: Theory and Practice.' Roles: Full Professor, SYS Director Affiliations: USI, Swiss National Science Foundation (SNSF), Interchain Foundation Teaching: Distributed Algorithms, Distributed Systems, Operating Systems Research interests span atomic multicast protocols, state machine replication, blockchain synchronization, and consensus algorithms. His work bridges theoretical foundations with practical implementations, emphasizing scalability and fault tolerance. Pedone's projects are sponsored by entities like SNSF, CTI, and Microsoft Research. Notable contributions include 'Heron' (shared-memory state replication), 'PrimCast' (atomic multicast), and studies on blockchain state synchronization. His lab oversees over 20 PhD students, with alumni holding roles in academia and industry. Grants and collaborations include partnerships with the Hasler Foundation, European Commission, and Western Digital Research. Pedone actively participates in conferences like Middleware, DSN, and EuroSys.

• Intra-Body networks
• 5G Radio Technologies
• Cognitive Radio Networks
• +۳ مورد دیگر

Anna Vizziello serves as Assistant Professor at the Department of Industrial and Information Engineering, University of Pavia, specializing in intra-body networks, 5G radio technologies, and cognitive radio systems. Selected as an EU Commission expert since 2013, she actively referees research proposals and contributes to global telecommunications standards through IEEE committees. Her educational foundation includes a Laurea in Electronic Engineering and Ph.D. in Electronics and Computer Science, both from the University of Pavia. International research experience spans Northeastern University (2023, 2016, 2011), Georgia Tech's Broadband Wireless Lab (2009-2010), and UPC Barcelona (2009-2010), building on earlier work at EUCENTRE on emergency communications. Dr. Vizziello's research program bridges theoretical innovation with practical implementation. Her intra-body communication testbed—requiring only two PCs, a cable, and electrodes—enables accessible experimentation in neural interfaces and implantable devices. In 5G/mmWave systems, she pioneered Kalman-based hybrid precoding techniques that optimize spectral efficiency while reducing hardware complexity. Current investigations integrate neuromorphic computing with wireless networks to achieve unprecedented energy efficiency in biomedical telemetry. Recent publications reveal converging trends across biomedical wireless systems (galvanic coupling for EMG transmission), AI-enhanced communications (spiking neural networks for data compression), and environment-aware networking (weather-impacted LoRaWAN forecasting). These works demonstrate her signature approach: solving real-world constraints through cross-disciplinary innovation. Her recognition includes: N2Women Rising Star in Networking (2018) ACM NanoCom Best Paper Award (2021) Top-Cited Internet Technology Letters Paper (2019-2020) Outstanding Research Visitor at Northeastern University (2015-2016) As N2Women Award Co-chair (2021) and TPC member for 40+ conferences (IEEE ICC, GLOBECOM), she actively shapes the field. Her IEEE senior membership spans WIE and Green Communications committees, while tutorial invitations (IEEE MELECON, LATINCOM, CCNC) highlight her thought leadership in intra-body networks. Though specific grants aren't detailed, her extensive conference leadership and award record indicate substantial research funding. Collaborative frameworks include Northeastern University's GENESYS Laboratory and Georgia Tech's Broadband Wireless Networking Lab, where she develops open-source testbeds shared via IEEE and Code Ocean. Future work targets neural communication interfaces and beyond-6G satellite-terrestrial integration.

Revati Godseمشاهده پروفایل

پژوهشگر ارشد

• Smart Grid
• Power System Protection
• Machine Learning
• +۳ مورد دیگر

Dr. Revati Godse is a postdoctoral research fellow at the Singapore University of Technology and Design (SUTD), supervised by Professor Aditya Mathur. She previously served as an Assistant Professor at a private institution in India and earned her doctoral degree from the Visvesvaraya National Institute of Technology (VNIT), Nagpur, India, in December 2020. Her research focuses on Smart Grid technologies, Power System Protection, and Machine Learning applications in electrical engineering. Education: PhD in Electrical Engineering from VNIT, Nagpur (2020). Research Interests: Dr. Godse’s work addresses challenges in power system reliability, including fault detection and classification, smart grid infrastructure, and machine learning-driven solutions for energy systems. She explores interdisciplinary approaches combining signal processing, cybersecurity, and sustainable energy systems. Her recent publications highlight advancements in power grid cyber ranges, electric vehicle charging ecosystems, and fault detection algorithms using mathematical morphology and SVM techniques. These contributions underscore her expertise in both theoretical and applied aspects of electrical engineering. No scientific awards have been explicitly mentioned. She collaborates with researchers at iTrust, the Institute of Trustworthy Internet of Things at SUTD, but no specific grants or advising roles for students are detailed in the provided information. Dr. Godse is affiliated with iTrust, where she contributes to cutting-edge research in trustworthy IoT systems and power grid technologies.

Ogorzalek Maciej Jerzyمشاهده پروفایل

استاد

• Circuits and Systems Design
• Nonlinear Circuits and Systems
• Fractal Techniques in Engineering
• +۳ مورد دیگر

Maciej Jerzy Ogorzalek is a Full Professor and Head of the Department of Information Technologies at Jagiellonian University, Krakow, Poland. He holds positions at multiple international institutions, including Honorary Professorships in China and Chair Professorships in Hong Kong. His research focuses on circuits and systems design, nonlinear dynamics, fractal engineering, biomedical signal processing, and computational biology. Education: MSc (1979) and PhD (1987) in Electronic Engineering from AGH University of Science and Technology, Krakow, with habilitation (1992) and Professor title (1998). Research Interests: Fractal techniques for electronics and communications Chaos control and synchronization in engineering systems Bio-medical signal processing for skin cancer diagnosis Computational methods in systems biology Awards: IEEE Fellow (1997) - Second Polish recipient Guillemin-Cauer Award (2002) Senior Scientist Award (JSPS, 2001) IEEE Circuits and Systems Society President (2008) Key Contributions: Pioneered chaos control methodologies Developed fractal-based microelectronic designs Led interdisciplinary work in computational biology Authored over 260 publications and 42 keynote lectures