جست‌وجوی استاد و پژوهشگر

Kevin Pontoمشاهده پروفایل

استادیار

• Virtual Reality (VR)
• Augmented Reality (AR)
• Human Factors Engineering
• +۴ مورد دیگر

Kevin Ponto is an Assistant Professor at the University of Wisconsin, Madison, holding dual affiliations with the Department of Industrial and Systems Engineering and the Living Environments Lab. His work bridges engineering, design, and digital humanities, focusing on virtual and augmented reality technologies for education, healthcare, and cultural heritage preservation. Ponto earned his B.S. in Computer Engineering from UW-Madison, followed by an M.S. and Ph.D. in interdisciplinary fields from UC Irvine and UC San Diego, respectively. His research interests include immersive visualization systems, AR/VR interfaces for accessibility, and embodied learning experiences. Notable projects include the Augmented Reality Home Assessment Tool (ARHAT) for home safety evaluations and Waddle , a VR empathy project simulating the life of an Adélie penguin. Ponto has collaborated on interdisciplinary initiatives such as the Center of Interdisciplinary Science for Art, Architecture and Archaeology (UCSD) and the Computation and Informatics in Biology and Medicine program. He explores spatiotemporal gait analysis in virtual environments, low-cost immersive display systems, and the usability of AR tools in healthcare and emergency response. His work emphasizes translating cutting-edge VR/AR technologies into practical applications for education, rehabilitation, and cultural preservation. Ponto actively publishes in journals and conferences covering human factors, computer graphics, and digital humanities, contributing to both theoretical and applied research in immersive technologies.

Guoquan Huangمشاهده پروفایل

استادیار

• Robotics
• Computer Vision
• Robot Learning
• +۵ مورد دیگر

Guoquan Huang is an Assistant Professor in the Department of Mechanical Engineering at the University of Delaware. He holds a B.Eng. in Automation from the University of Science and Technology, Beijing (2002), and M.Sc. and Ph.D. degrees in Robotics from the University of Minnesota (2009 and 2012). Prior to his current role, he was a Postdoctoral Associate at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL). His research focuses on robotics, computer vision, and autonomous systems, emphasizing probabilistic perception, estimation, and control for ground, aerial, and underwater vehicles. He leads the development of the OpenVINS platform for visual-inertial estimation and has contributed to advancements in SLAM (Simultaneous Localization and Mapping), sensor fusion, and multi-robot coordination. Education: B.Eng in Automation (Electrical Engineering), University of Science and Technology, Beijing, 2002 M.Sc. in Robotics, University of Minnesota, Twin Cities, 2009 Ph.D. in Robotics, University of Minnesota, Twin Cities, 2012 His research interests span robotics, computer vision, and autonomous systems , with a focus on: Visual-inertial navigation and SLAM Sensor fusion (LiDAR, IMU, camera) Autonomous vehicle control and safety Multi-robot cooperative localization His recent publications (2023–2025) emphasize robust algorithms for navigation in GPS-denied environments, real-time sensor calibration, and dataset development for aerial visual localization. He has pioneered techniques like decoupled error-state estimation and consistent parallel frameworks for SLAM. Labs/Teams: Leads the development of the OpenVINS research platform, focusing on visual-inertial state estimation. Collaborates on projects involving human-swarm interactions and resilient ground vehicle navigation.

• Model-based Systems Engineering
• Safety-Critical Systems
• Systems Engineering
• +۳ مورد دیگر

Dr. Siyuan Ji is a Reader in Model-based Systems Engineering (MBSE) at Loughborough University, serving as Deputy Head of the Manufacturing, Systems & Management Academic Community and Deputy Director of the Doctoral Training Centre in MBSE. He previously held a Senior Lecturer position in Systems Engineering at the University of York, where he led the MSc Programme in Safety-Critical Systems Engineering. His academic journey includes a PhD and MSc in Physics from the University of Nottingham, followed by research roles in model-based systems engineering at Loughborough University. His research focuses on advancing model-based techniques for systems engineering, particularly in safety-critical systems, formal methods, and complex system design. He has contributed to areas such as hazard management (e.g., BSafeML framework), response time analysis in real-time systems, and model synchronization for requirements engineering. His work bridges theoretical foundations with practical applications in automotive systems, embedded software, and educational technology. Dr. Ji holds the title of Fellow of the Higher Education Academy and has published extensively on topics ranging from quantum technology reporting to conversational tutoring systems. His research emphasizes interdisciplinary collaboration, evident in projects like the EPSRC-funded analysis of vehicles as complex systems. He actively contributes to both academic and industrial advancements in systems engineering methodologies and education innovation. His professional roles include managing doctoral training programs, overseeing academic communities, and advancing systems engineering education. Collaborations span industry partnerships and international academic networks, reflecting his commitment to impactful research and training the next generation of systems engineers.

Sharad Mehrotraمشاهده پروفایل

استاد

• Data Management
• Distributed Systems
• Database as a Service
• +۷ مورد دیگر

Sharad Mehrotra is a Distinguished Professor at the University of California, Irvine (UCI), leading the Center for Emergency Response Technologies (CERT) and directing the NSF-funded RESCUE project. He previously served at the University of Illinois, Urbana-Champaign, and holds a Ph.D. from the University of Texas at Austin (1993). His research focuses on data management, IoT systems, privacy-preserving technologies, and smart spaces, with contributions to frameworks like TIPPERS and MARS. Education: Ph.D., Computer Science, University of Texas at Austin, 1993 Research Interests: His work bridges database systems, security, and IoT, emphasizing privacy in smart environments. Notable projects include sentient space technologies for disaster response, cryptographic methods for encrypted data queries, and semantic IoT integration. Recent efforts address privacy in multi-owner data systems and resilient community water infrastructure. Awards & Recognition: ACM Fellow (2024) SIGMOD Best Paper (2001), DASFAA Best Paper (2004) NAVWAR Innovation Award (2021) Outstanding Graduate Mentor (2005) Grants & Leadership: As RESCUE PI, he managed $12.5M NSF funding, developing crisis-response software deployed by emergency agencies. Collaborations include the Cal-IT2 institute (UCSD/UCI) and the US Navy’s TIPPERS platform. He co-leads initiatives like the NSF Civic Innovation Challenge for disaster resilience in aging communities. Labs & Teams: Directs UCI’s Information Systems Group and CERT, fostering interdisciplinary research with 60+ members. His teams produce open-source tools (e.g., SEMIoTIC, PrivacySphere) and engage in global partnerships via Fulbright Visiting Scholar programs.

Holly Wilcoxمشاهده پروفایل

استاد

• Suicide Prevention
• Public Health
• Adolescent Health
• +۶ مورد دیگر

Holly Wilcox is a Professor in the Department of Mental Health at the Johns Hopkins Bloomberg School of Public Health with joint appointments in the Department of Health Policy and Management, Johns Hopkins School of Medicine, and Johns Hopkins School of Education. She serves as President of the International Academy of Suicide Research (IASR), member of the Scientific Council and Board of Directors of the American Foundation for Suicide Prevention (AFSP), suicide prevention consultant for the World Health Organization, and Affiliate Investigator at Australia's Centre for Research Excellence in Suicide Prevention. PhD, Johns Hopkins University (2003) MA, New York University (1998) BS, Northeastern University (1991) Dr. Wilcox's research focuses on public health approaches to suicide prevention through community-based universal prevention programs, data linkage strategies, and cross-sector implementation in schools, universities, social media, and emergency departments. Her work emphasizes population-based strategies targeting suicidal behaviors and addresses health disparities through culturally adapted interventions. She leads Johns Hopkins' multidisciplinary Suicide Prevention Working Group and actively mentors students, having won the Johns Hopkins Advising, Mentoring, and Teaching Recognition Award three times. Analysis of her recent publications reveals a strong emphasis on leveraging real-world data systems (Maryland Suicide Data Warehouse), developing ecological prevention models across multiple settings, and implementing evidence-based practices through policy mechanisms like the STANDUP Act. Her work increasingly integrates digital epidemiology (social media analysis) with traditional public health approaches while maintaining focus on vulnerable populations including adolescents, Latinx communities, and youth in child welfare systems. Recipient of the Andrej Marušic Suicide Research Award (2010) Dr. Robert Lewis Kane Memorial Award for data linkage research (2017) Multiple teaching excellence awards including AMTRA (2007, 2020, 2022) Best paper award in Archives of Suicide Research (2019) Dr. Wilcox has secured competitive grants from NIH, WHO, and other agencies to support her research. She actively collaborates with international organizations including WHO/UNICEF and Pan American Health Organization. Her mentorship extends to numerous students through the Johns Hopkins Bloomberg School of Public Health, where she teaches courses on suicide as a public health problem. She leads the Suicide Prevention Working Group that coordinates interdisciplinary research across Johns Hopkins divisions.

• Robotics
• Machine Learning
• Reinforcement Learning
• +۳ مورد دیگر

Pawel Ladosz is a Lecturer in Engineering Systems for Robotics at the Department of Mechanical and Aerospace Engineering, The University of Manchester. His research focuses on applying machine learning and computer vision to mobile robots, particularly in extreme environments such as total darkness or cluttered spaces. He is actively involved in developing autonomous navigation systems, wireless signal mapping, and high-level decision-making for robotic swarms. He teaches courses including Robotic Systems Design Project and Autonomous Mobile Robots. Education: PhD in Establishing and Optimising Unmanned Airborne Relay Networks (Loughborough University, 2014–2019) MEng in Aerospace Engineering (The University of Manchester, 2010–2014) Research Interests: Ladosz’s work emphasizes reinforcement learning for robotics, vision-based autonomous systems, and exploration in challenging environments. His projects often intersect with UN Sustainable Development Goals, contributing to innovations in robotic autonomy and sensor networks. Awards: He received the 2nd Autonomous Flying Technology Competition award in 2021, recognizing his contributions to autonomous flight systems. His research has also led to the establishment of the Centre for Robotic Autonomy in Demanding and Long-Lasting Environments (CRADLE), fostering cross-disciplinary collaborations. Grants & Projects: As Principal Investigator in the Aerospace Engineering initiative (2010–2035), he explores UAV communication networks and trajectory planning. His work addresses urban environment challenges, including relay positioning and signal prediction. Labs/Teams: Ladosz contributes to CRADLE, advancing robotic autonomy in extreme scenarios. His lab focuses on integrating AI and robotics for real-world applications.

Amritanshu Pandeyمشاهده پروفایل

استادیار

• Grid Simulation and Optimization
• Grid Cybersecurity
• Modeling of Future Energy Systems
• +۳ مورد دیگر

Amritanshu Pandey is an Assistant Professor in Electrical Engineering at the University of Vermont, with a part-time adjunct appointment in Electrical and Computer Engineering at Carnegie Mellon University. His research focuses on enhancing the efficiency, reliability, and security of electric grids through methods in circuit theory, optimization, and machine learning. He pioneered the SUGAR simulation engine for power systems and collaborates globally on grid challenges. Research Interests: Pandey's work spans renewable integration, grid cybersecurity, digital twins, and decarbonization. Key projects include developing algorithms for large-scale grid optimization, anomaly detection, electric vehicle infrastructure modeling, and cyber-resilient energy systems. His research addresses real-world challenges in rapidly evolving grids across Asia and Africa. Awards: Best Paper Award, IEEE PES General Meeting (2017, 2021) Best-of-the-Best Paper Award, IEEE PES General Meeting (2021) Best Student Paper Runner-up, ECML-PKDD (2018) Students & Labs: He advises 7 PhD students and has graduated 11 advisees (PhD/MS/BS). His lab focuses on power systems innovation, including the SUGAR simulation framework and projects on grid cybersecurity and sustainable electrification.

• Wireless Networks
• Signal Processing
• 5G/6G Communications
• +۳ مورد دیگر

Dr. Wibowo Hardjawana is a Senior Lecturer in Telecommunications Engineering at the School of Electrical & Computer Engineering , University of Sydney. He holds a PhD from the University of Sydney and serves as an ARC DECRA Research Fellow. His research focuses on wireless network softwarisation, enabling programmable radio interfaces to address traffic elasticity in 5G/6G systems. Education : PhD (University of Sydney) Grants : ARC DP210100744 (2021), ARC DECRA DE140101114 (2014) His work spans 5G/6G network architectures , machine learning for wireless systems , and open radio interfaces . Key contributions include graph representation learning for interference management, Bayesian neural network detectors for OTFS modulation, and NOMA decoding techniques . Recent publications analyze ultra-reliable low-latency communications , UAV-enabled networks , and stochastic geometry in wireless systems . He has collaborated with institutions in China, Indonesia, and UAE, and engaged with industry partners like Telstra and Ausgrid.

• Nanophotonics
• Integrated Microwave Photonics
• Communications Systems
• +۳ مورد دیگر

Professor Xiaoke Yi is a faculty member at the University of Sydney's School of Electrical and Computer Engineering, serving as Associate Head of Research and Director of the Photonics Research Group. He holds a BEng, MEng, and PhD from Nanyang Technological University (NTU). His research focuses on nanophotonics and integrated microwave photonics, addressing challenges in high-frequency signal processing for communications, defense, and healthcare. Notable achievements include developing non-invasive glucose monitoring technology and contributions to silicon carbide photonics. Awards include the 2018 Women in Industry Award and 2017 Bradfield Award. Research Interests : Professor Yi’s work bridges microwave engineering and optoelectronics, with applications in high-speed communication systems, radar, and biomedical sensors. His current projects involve machine learning-enhanced microwave photonic sensors and integrated photonics for defense and healthcare. Recent breakthroughs include athermal sensors using microring resonators and silicon carbide electro-optic modulators. Publications & Recognition : His work spans over 100 peer-reviewed articles in journals like Nature Communications and Journal of Lightwave Technology . Key themes include sensor design, signal processing algorithms, and photonic materials. Recent trends emphasize machine learning integration for sensor optimization and biomedical applications. Awards : 2018: Women in Industry Award (Engineering category) 2017: Bradfield Award (Engineers Australia) 2017: Australia’s Most Innovative Engineers (Engineers Australia) 2017: Sydney Accelerator Fellowship (SOAR) 2016: Vice-Chancellor’s Award for Research Engagement Labs & Teams : Leads the Photonics Research Group, collaborating with interdisciplinary teams at Sydney Nano Institute. Current projects include inverse design of photonic devices using neural networks and high-resolution optical spectrum analysis.

Alexander Hunterمشاهده پروفایل

مدرس

• Open/Non-linear Music
• Open Music Notation
• Spectralism
• +۷ مورد دیگر

Dr. Alexander Hunter is a Lecturer and Composition Convenor at the School of Music, Australian National University (ANU). He holds a PhD in composition from Edinburgh Napier University (2014) and has taught composition, theory, and music history since relocating to Canberra in 2014. Hunter founded ANU's Experimental Music Studio, focusing on open-form compositions that engage performers in fluid interpretive roles. His research spans open musical forms, spectralism, acoustic ecology, and intersectional feminism, with a commitment to disability and autistic advocacy in the arts. Education includes studies at Northern Illinois University (BA 2006) and HNC from Colaisde Bheinn na Faoghla (2007). His work integrates multimedia collaborations with artists like Mike Parr and Martyn Jolly, exploring themes of dis/ability, environmental health, and Métis cultural heritage. Key projects include Helping the River Sing (2018–2021), linking river health with artistic expression, and AI-driven music composition research with Charles Martin. Hunter’s performance-led projects often involve magic lantern technology, reimagining 19th-century projection as a medium for contemporary ecological and historical narratives. Research interests also encompass New York School music, reductionist improvisation, and anarchist philosophies in composition. His collaborations with ensembles like Ensemble Dal Niente and the Edinburgh Quartet highlight his commitment to experimental performance practices. Recent publications (2023–2025) explore AI applications in music creation and interdisciplinary performance frameworks.

Tobias Brandtمشاهده پروفایل

استاد

• Digital Innovation
• Public Sector Management
• Information Systems
• +۵ مورد دیگر

Prof. Dr. Tobias Brandt serves as a Full Professor and Chair of Digital Innovation and the Public Sector at the University of Münster's School of Business and Economics. His academic journey includes roles as Assistant Professor at Rotterdam School of Management (2016-2021) and Research Assistant at the University of Freiburg (2011-2015). He co-founded Geospin GmbH in 2016 and holds memberships in VHB, INFORMS, and AIS. Research Interests: Brandt focuses on digital innovation in public sectors, sustainable urban systems, e-government, and platform ecosystems. His work bridges information systems and operational research to address challenges in mobility, energy, and public service delivery. Recent projects include developing tools for sustainable urban planning, digital platforms for elderly care, and leveraging AI for crisis management. Notable Projects: Current initiatives include the PIONEER II Master's program on public innovation, SMARD-Gov (LLMs for government decision-making), and comuneo (digital sustainability management platform). Completed projects include INNO4S (integrating sustainability in business education) and studies on pandemic-driven digitalization in public administration. Awards: RSM Teaching Award (2020), Daniel H. Wagner Prize (2020), IBM Faculty Award (2016). Grants: €5M+ secured from EU Erasmus+, DFG, and German Federal Ministry of Research. Labs/Teams: Leads the Chair of Digital Innovation & Public Sector, collaborating with ERCIS (European Research Center for Information Systems). Active in GovTech and digital sustainability initiatives.

Shahin Sirouspourمشاهده پروفایل

استاد

• Robotics
• Autonomous Systems
• Control Systems
• +۷ مورد دیگر

Shahin Sirouspour is a Professor in the Department of Electrical and Computer Engineering at McMaster University. His research focuses on robotics, autonomous systems, control systems, and optimization, with applications in aerial robotics, teleoperation, haptics, medical robotics, and smart energy grids. He is affiliated with the Telerobotics, Haptics and Computational Vision Laboratory and teaches courses such as Non-linear Control Systems and Electrical Systems Integration Project. He holds a Ph.D. from the University of British Columbia and has supervised numerous graduate students. His lab includes advanced equipment like multi-axis robotic manipulators, haptic interfaces, and real-time computing systems. Education: B.Sc. and M.Sc. from Sharif University of Technology (Iran), Ph.D. from University of British Columbia (Canada). Current roles include accepting graduate students and leading research clusters in Digital & Smart Systems, Energy, and Transportation. Awards include the McMaster President's Award for Excellence in Graduate Supervision. His work bridges theoretical control systems with practical applications in healthcare, energy, and autonomous systems. Research highlights include developing control strategies for multi-agent robotic systems, smart grid optimization, and medical robotics. Collaborations with institutions like MacAUTO and industry partners (e.g., MDA Space Missions) enhance translational impact. His lab supports projects on asymmetric teleoperation, deformable tissue simulation, and microgrid energy management.

Soufiene Djahelمشاهده پروفایل

استاد

• Connected and Autonomous Vehicles (CAVs)
• Unmanned Aerial Vehicles (UAVs)
• Cyber Security
• +۷ مورد دیگر

Soufiene Djahel is a Professor at the Centre for Future Transport and Cities (CFTC) at Coventry University, UK. His research focuses on connected and autonomous vehicles (CAVs), unmanned aerial vehicles (UAVs), cyber security, and smart cities. He holds a PhD in Secure Routing and Medium Access Protocols from Université des Sciences et Technologies de Lille (2010), and has held academic positions including Senior Lecturer at the University of Huddersfield and Manchester Metropolitan University. His research interests include CAV coordination protocols, cyber-physical security solutions, and intelligent transportation systems. Djahel leads projects such as the £1.2M AeroPharma Logistics initiative and has secured funding from the Newton Fund and JSPS. He is a recipient of the 2021 JSPS Invitational Fellowship and has published extensively in IEEE journals and conferences. Current projects explore UAVs-as-a-service, digital twins for CAVs, and B5G/6G for smart infrastructure. He advises PhD students on topics like AI-based threat mitigation and transport electrification. Djahel also serves as an external examiner and editorial board member for journals like IEEE Transactions on Intelligent Transportation Systems.

• Design Strategies
• Social Innovation
• Public Policy
• +۳ مورد دیگر

Eduardo Staszowski is an Associate Professor of Design Strategies at Parsons School of Design, The New School. He serves as co-founder and Director of the Parsons DESIS Lab, dedicated to advancing design-led social innovation for equitable and sustainable urban practices. His research explores intersections of design, public policy, and participatory methods to enhance civic engagement and governance. Staszowski teaches courses in Design Strategies, Participatory Design, and Social Innovation, co-coordinates the Graduate Minor in Civic Service Design, and edits the Designing in Dark Times book series with Bloomsbury. His research focuses on experimental approaches to fostering stakeholder collaboration in policy development and civic service design, emphasizing design’s role as an intermediary in complex social systems. He has secured multiple research grants and awards since joining The New School in 2008. Recent publications include edited volumes on design’s transformative potential in addressing contemporary societal challenges and articles exploring urban sustainability and community-driven initiatives. Staszowski’s teaching and research are practice-driven, engaging external partners to address real-world challenges in public policy and social innovation. His courses allow students to navigate interdisciplinary projects, blending theory and action. The DESIS Lab’s work exemplifies his commitment to bridging design practice with systemic social change, particularly in fostering inclusive urban environments and governance frameworks.

• Computer Networking
• Distributed Systems
• Network Security
• +۳ مورد دیگر

Georgia Fragkouli is a Researcher affiliated with ETH Zürich's School of Computer and Communication Sciences, working within the Institute of Computer Engineering and Communication Systems. Her role is part of the Professorship for Networked Systems, focusing on advanced networking and distributed systems research. She specializes in analyzing network performance, security, and transparency, with a particular emphasis on BGP convergence dynamics, anomaly detection, and decentralized computing architectures. Her research interests include network protocol validation, machine learning-based traffic analysis, and improving internet transparency through innovative measurement frameworks. She has contributed to projects like MorphIT for packet-level transparency and explored failure mitigation in globally distributed systems. Notable recent work includes studies on transient forwarding anomalies, iBGP convergence effects, and data-plane performance consistency. Her publications span both theoretical advancements and practical implementations, aiming to bridge gaps between networking theory and real-world deployment challenges.