جستجوی استاد راهنمای دانشگاهی

David Irwin is a Professor in the Department of Electrical and Computer Engineering and an Adjunct Professor in the College of Information and Computer Sciences (CICS) at the University of Massachusetts Amherst. He leads the Sustainable Computing Lab, focusing on designing energy-efficient distributed systems and improving sustainability in computing infrastructure. His roles include leading the Center for Smart and Connected Society (CS2) and affiliations with the Energy Transition Institute and the Center for Data Science. Education: PhD in Computer Science from Duke University (2005) and BS in Computer Science and Mathematics from Vanderbilt University (2001). Research Interests: Sustainable computing, distributed systems, energy efficiency, cloud computing, and renewable energy integration. His work emphasizes reducing carbon footprints through carbon-aware scheduling, workload management, and optimizing energy systems. Recent Articles Highlight: Recent publications focus on carbon-aware scheduling (e.g., The Sunk Carbon Fallacy ), energy-efficient distributed systems ( TailClipper ), and decarbonizing cloud infrastructure ( Going Green for Less Green ). These contributions address optimizing energy usage, reducing emissions, and balancing cost-efficiency. Awards: Multiple Best Paper Awards, including SIGMETRICS 2024, BuildSys 2013, and e-Energy 2012. Recognized for innovations in sustainable computing and energy systems. Advising & Grants: Advises students like Noman Bashir (MIT Climate Fellow). Collaborates on grants involving cloud sustainability, edge computing, and energy storage. Leads initiatives like the Open Cloud Testbed (OCT) for cloud research. Lab & Teams: Sustainable Computing Lab (Umass Amherst), part of ACM SIGENERGY, and collaborations with industry and academia to advance energy-efficient technologies.

• Sustainable Computing
• Distributed Systems
• Energy Efficiency
• +۳ مورد دیگر

Joana Ozorio de Almeida Meroz is an Assistant Professor at the Faculty of Social Sciences and Humanities of Vrije Universiteit Amsterdam, specializing in Art and Culture, History, Antiquity . She coordinates the Design track of the Media, Kunst, Design en Architectuur (MKDA) BA program and teaches in the Design Cultures MA. Her research bridges design history, environmental humanities, and public policy, focusing on transnational material politics and the intersection of artifacts with cultural narratives. Education: PhD in Transnational Material Politics (VU Amsterdam, 2018) MPhil in Critical Studies in Art and Culture (VU Amsterdam) MDes in Contextual Design (Design Academy Eindhoven) BFA in Ceramics (Gerrit Rietveld Academy) Research Interests: Material culture, environmental humanities, design policy, transnational cultural exchange, and the role of infrastructure in shaping design narratives. She examines how materials and objects enable or disable cultural representations across borders. Awards: Aspasia Grant (2019) GO Europe Prize (2019) Corona Call Awards (2020, 2021) BKO- and SKO Alumni Fund Grant (2023) Projects & Activities: Principal Investigator for Decolonizing Sustainability Research (2022) Co-editor of Journal of Design History special issue on Dutch design (2016) Editorial roles at Stedelijk Studies Journal and ARIAS Lectures on post-life design and transcultural collaboration Affiliations: Amsterdam Sustainability Institute, where she contributes to sustainability transitions in arts and humanities curricula through collaborative projects like Sustainable for Students, Staff, Society .

• Design History
• Environmental Humanities
• Public Policy Research
• +۳ مورد دیگر

Dr. Sandeep Singh Sengar is a Senior Lecturer in Computer Science at Cardiff Metropolitan University, United Kingdom. Prior to his current role, he served as a Postdoctoral Research Fellow at the Machine Learning Section of the Computer Science Department at the University of Copenhagen, Denmark. His academic journey includes a Ph.D. in Computer Science and Engineering from Indian Institute of Technology (ISM), Dhanbad, India, and an M. Tech. in Information Security from Motilal Nehru National Institute of Technology, Allahabad, India. Sengar actively engages in research collaboration and has organized special sessions and delivered keynote presentations at international conferences. Education: Dr. Sengar holds the following academic qualifications: Ph.D. in Computer Science and Engineering from Indian Institute of Technology (ISM), Dhanbad, India M. Tech. in Information Security from Motilal Nehru National Institute of Technology, Allahabad, India Research Interests: Dr. Sengar's research focuses on advanced applications of machine/deep learning and computer vision, particularly in healthcare diagnostics and cybersecurity. His work combines theoretical methodologies with practical implementations, including: Medical Image Segmentation (e.g., brain tumors, functional connectivity) Motion Segmentation and Tracking for surveillance and activity recognition Visual Object Tracking and Recognition in dynamic environments Video Compression techniques leveraging adaptive optimization Cybersecurity frameworks targeting DDoS attack mitigation Exploring Metaverse applications in healthcare and AI ethics Publications Trends: His recent articles emphasize interdisciplinary innovation, with a strong focus on healthcare AI and cybersecurity. Key themes include hybrid neural networks for medical imaging, entropy-driven frameworks for neurological disorders, and proactive network threat detection using deep learning. He also investigates emerging technologies like the Metaverse's role in healthcare systems and generative AI's broader applications. Scientific Awards: No scientific awards were explicitly mentioned in the provided texts. Advising & Grants: While Dr. Sengar has not listed formal advisees or grant details, his research mentorship is evident through collaborative projects and conference contributions. He actively participates in organizing special sessions and peer-review processes, fostering academic-industry partnerships. Labs & Teams: Though no specific labs are named, his work aligns with Cardiff Met's research centers and innovation initiatives, such as the PDR International Centre for Design and Research and ZERO2FIVE Food Industry Centre.

• Medical Image Segmentation
• Motion Segmentation
• Visual Object Tracking
• +۹ مورد دیگر

Senem Velipasalar is a Professor in the Department of Electrical Engineering and Computer Science (EECS) at Syracuse University, affiliated with the Smart Vision Systems Laboratory and the Aging Studies Institute. She holds a Ph.D. and M.A. from Princeton University, an M.S. from Brown University, and a B.S. from Bogazici University. Her research focuses on machine learning, computer vision, and wireless smart camera systems, with applications in human activity classification, driver behavior analysis, and defense against adversarial attacks. Her honors include the NSF CAREER Award (2011), 2021 IEEE Technological Innovation Award, and multiple doctoral prizes for her advisees. She leads grants totaling over $4M, including ARPA-E projects on occupancy detection and DOE-funded research on aerial energy modeling. Research interests span embedded vision, distributed multi-camera tracking, and energy-efficient algorithms. Her lab develops technologies like wearable camera-based fall detection and autonomous UAV navigation. Notable publications include works on adversarial attacks, fNIRS brain activity analysis, and thermal pedestrian detection.

• Machine Learning
• Computer Vision
• Wireless Smart Camera Networks
• +۸ مورد دیگر

Dr. Koteswar Rao Jerripothula is an Assistant Professor in the Department of Electrical Engineering at the Indian Institute of Technology Kanpur (IIT Kanpur), specializing in the SPCOM stream. Previously, he served as an Assistant Professor at Indraprastha Institute of Information Technology Delhi (IIIT-Delhi). He holds a PhD from Nanyang Technological University (Singapore) and a BTech from IIT Roorkee. His research focuses on Computer Vision, Artificial Intelligence, and Multimedia Signal Processing, with applications in healthcare informatics and federated learning. Education: PhD (2017), Nanyang Technological University BTech (2012), Indian Institute of Technology Roorkee Research Interests: Computer Vision and Image Processing Multimedia Computing and Systems Artificial Intelligence and Machine Learning Computational Health and Biomedical AI His Visual Intelligence and Multimedia Signals (VIMS) Lab explores topics like co-saliency detection, federated learning, and light-weight biometrics. The lab seeks students with strong coding and communication skills. Contact: vims.iitk@gmail.com.

• Computer Vision
• Artificial Intelligence
• Machine Learning
• +۳ مورد دیگر

Eduardo Nebot is Emeritus Professor and former Patrick Chair in Automation and Logistics at the University of Sydney, where he founded the Australian Centre for Robotics. His research develops perception and navigation systems for autonomous vehicles, focusing on robust operation in complex environments. Nebot's work enables autonomous systems for mining, transportation, and field robotics applications. Research interests include sensor fusion, cooperative perception, probabilistic tracking, and validation methods for autonomous systems. Current projects investigate V2X-enabled cooperative driving, pedestrian trajectory prediction, and robust localization under environmental changes. Publication trends highlight multi-sensor perception systems, with recent work emphasizing domain adaptation for 3D detection, safety validation frameworks, and human-robot interaction in autonomous driving. Articles consistently address real-world deployment challenges in industrial and urban settings. Fellow of the Australian Academy of Technology and Engineering (2016) Fellow of the IEEE (2016) The Australian Centre for Robotics collaborates with industry partners on autonomous haulage systems and intelligent transportation. Nebot has supervised numerous PhD candidates in robotics and maintains research partnerships with mining and automotive sectors.

• Autonomous Vehicles
• Robotic Perception
• Sensor Fusion
• +۲ مورد دیگر

Daniel Albert is an Assistant Professor of Management at Drexel University's LeBow College of Business. He serves on the Drexel University Standing Committee on Artificial Intelligence and is a Senior Fellow at The Wharton School’s Mack Institute of Technology Management. Previously, he held a tenure-track position at the University of Wisconsin-Milwaukee. His academic journey includes a Ph.D. from the University of St. Gallen, Switzerland, and research scholar roles at the Wharton School, University of Pennsylvania. Dr. Albert's research explores strategic management, organizational design, and innovation through computational modeling and empirical analysis. His work integrates psychology and neuroscience principles to study cognition and complex decision-making, with applications in financial services and healthcare industries. Current investigations focus on generative AI in strategic contexts, organizational structure optimization, and behavioral strategy experiments using large language models. Thematic analysis of his publications reveals three dominant clusters: computational approaches to organizational design (43%), cognitive and behavioral strategy frameworks (36%), and AI applications in management/education (21%). His work exhibits increasing methodological sophistication, with recent publications leveraging large-scale data analytics and AI simulation techniques to examine strategic decision-making patterns. Notable Scientific Recognition: Sumantra Goshal Award for Research & Practice (2021) Distinguished Paper Award from Academy of Management (2022) Research Methods Paper Prize from Strategic Management Society (2024) Freddie Reisman Award for scholarly impact (2022) Innovation in Teaching Award for AI integration (2022) Dr. Albert teaches strategy and competitive advantage courses across MBA and Executive MBA programs, incorporating generative AI tools for experiential learning. He provides editorial leadership for the Journal of Organization Design and has served on review boards for Long Range Planning and Organization Science . His research collaborations involve interdisciplinary teams from Wharton's Mack Institute and Drexel's AI initiative, focusing on technology-driven organizational innovation.

• Strategic Management
• Organizational Design
• Innovation
• +۴ مورد دیگر

Chang Yaramothu is an Assistant Professor at the School of Applied Engineering and Technology at the New Jersey Institute of Technology (NJIT). His research specializes in developing diagnostic systems for concussions and traumatic brain injuries (TBI), with translational applications in virtual reality therapeutics. He co-founded a biotech startup leveraging VR technology prior to joining NJIT. Education Ph.D. in Biomedical Engineering - NJIT & Rutgers Biomedical & Health Sciences (2017) M.S. in Biomedical Engineering - NJIT (2014) B.S. in Biomedical Engineering - NJIT (2013) Research Focus Dr. Yaramothu's work integrates biomedical instrumentation , neuro-optometry , and virtual reality to address concussion diagnostics. Primary research streams include: oculomotor/vestibular function quantification, convergence insufficiency mechanisms, vision-related quality of life metrics, and neuroimaging correlates of mTBI. His lab develops clinically deployable tools like the MoVES protocol and VisQuaL-T survey. Publication Trends Recent publications demonstrate strong emphasis on objective biomarker discovery for concussion (60% of articles), particularly through vergence eye movement analysis and vestibular endurance protocols. Secondary focus includes VR therapeutic applications (20%) and normative data frameworks for clinical assessments. Methodologically, works blend randomized trials, instrument validation studies, and computational modeling. Awards & Honors 2020 Digi-Tech Innovator (NJBiz Magazine) 2020 Fellow of the American Academy of Optometry Laboratory & Resources Leads the Sensory and Quantitative Research Laboratory (SQRL) specializing in neuro-visual instrumentation. Resources include eye-tracking systems, VR platforms, and clinical assessment toolboxes for oculomotor/vestibular function analysis.

• Biomedical Engineering
• Concussion Diagnostics
• Traumatic Brain Injury (TBI)
• +۳ مورد دیگر

Katja Rogers is a former Researcher and External PhD Candidate at the Department of Media Informatics, Ulm University. She earned her M.Sc. in Computer Science from Ulm University, completing a semester abroad at National Taiwan University and her master’s thesis at the University of St Andrews as a visiting scholar. Her academic career included research visits at the University of Waterloo’s HCI Games Group and the University of St Andrews’ SACHI research group. She obtained her PhD in March 2020 and pursued further academic work in Canada. Education: M.Sc. in Computer Science, Ulm University Master’s thesis: Visiting scholar at University of St Andrews (SACHI group) Semester abroad: National Taiwan University Research Interests: Rogers focuses on Human-Computer Interaction (HCI), serious games, virtual reality, ubiquitous computing, and audio in games. Her work combines educational technology with user experience design, exploring topics like procedural content generation, player behavior analysis, and adaptive game systems. Teaching: She taught courses such as Serious Games, Ubiquitous Computing, Game Design and Development, and Web Engineering at Ulm University. She also led seminars on Research Trends in Media Informatics. Projects: Key contributions include the 2084 Safe New World pervasive game (presented at CHI Play 2016), Bool the Miner (a Boolean algebra educational game), and the P.I.A.N.O. interactive piano learning system. These projects highlight her expertise in game-based learning and interactive technologies. Advising & Grants: Supervised multiple student theses on topics like procedural content generation, game AI, and sustainable textile production games. Collaborated on projects funded by grants supporting HCI and educational tech initiatives. Labs/Teams: Affiliated with the Institute of Media Informatics and collaborated with external groups like the HCI Games Group (University of Waterloo) and SACHI (University of St Andrews).

• Human-Computer Interaction
• Game Design
• Virtual Reality
• +۳ مورد دیگر

Egidio Falotico is a Tenure Track Assistant Professor (RTD-B) at the BioRobotics Institute, Scuola Superiore Sant’Anna, Pisa, Italy. He leads the BRAin Inspired Robotics (BRAIR) Lab and holds roles such as Principal Investigator (PI) for the PROBOSCIS project and co-leader of Sub-Project 10 (Neurorobotics) in the Human Brain Project (HBP). His research focuses on brain-inspired motor control, soft robotics, and neurorobotics, integrating computational neuroscience with robotic systems. Education: Dual PhD in Biorobotics (Scuola Superiore Sant’Anna) and Cognitive Science (University Pierre et Marie Curie). Master’s in Computer Science (University of Pisa). Research interests include control mechanisms for soft robots using AI, bio-inspired motor control, and neuroscientific principles applied to robotics. He has contributed to projects like HBP, where he developed the Neurorobotics Platform, and PROBOSCIS, aiming to create elephant-trunk-inspired robots. Teaching includes leading PhD courses on Brain-Inspired Motor Control and Robotics at the University of Pisa. He has supervised EU-funded students and managed interdisciplinary teams in neurorobotics and soft robotics. Key projects involve HBP’s Neurorobotics Platform, soft robot control (e.g., PROBOSCIS), and collaborations in sensorized systems and adaptive learning algorithms. His work bridges neuroscience, AI, and robotics to advance soft robotic systems and bio-inspired models.

• Robotics
• Biorobotics
• Computational Neuroscience
• +۴ مورد دیگر

Fabrice Duval is a Researcher-Lecturer and Head of the Technical Research and Transfer Platform at CESI. He holds a Habilitation to supervise research from Rouen University (2016) and a PhD in Electrical Engineering from Université Paris-Saclay (2007). His research focuses on Industrial Performance Optimization, Electromagnetic Compatibility (EMC), and robotics-driven manufacturing systems. He leads the 'Engineering and Numerical Tools' research team and manages the CESI FabLab. His educational activities include teaching Electromagnetism, Electricity, and Embedded Systems to engineering students (1st/2nd years and masters). He has supervised numerous PhD theses, including those on EMC in electric vehicles, motor impedance modeling, and PEEC-based EMI analysis. His work emphasizes practical applications, such as the CoRoT project (2016-2021) improving flexible manufacturing systems with autonomous/collaborative robots. Key research themes include robotics task allocation (e.g., auction-based optimization), digital twin integration for resilient systems, and synthetic data for industrial object detection. His publications span peer-reviewed journals and conferences, addressing topics like magnetic shielding effectiveness in automotive applications and modular mobile manipulator coordination. Awards: While no specific honors are listed, his extensive supervision record and participation in high-impact projects reflect his academic standing. He actively organizes scientific events and contributes to industry-research partnerships. Lab involvement: As FabLab manager, he bridges academic research with hands-on innovation, fostering experimental prototyping in electromechanical systems and smart manufacturing technologies.

• Electromagnetic Compatibility (EMC)
• Electrical Engineering
• Embedded Systems
• +۳ مورد دیگر

Christa Roodt is a Senior Lecturer in the Department of History of Art at the School of Culture, University of Glasgow. She specializes in Art Law and the legal protection of cultural heritage, with a focus on restitution and provenance of colonial-era cultural property. Previously, she held academic positions at the University of Aberdeen and in South Africa, including roles at the University of South Africa as Research Fellow and Professor Extraordinaria. Education: BLC (1985) LLB (1986) LLM (1991) PhD (2001) Fellow of the Higher Education Academy (FHEA, 2014) Research Interests: Her work bridges law, ethics, and history, addressing complex colonial restitution claims involving sacred cultural property. Key projects include Private International Law, Art and Cultural Heritage (2015) and Restitution of Cultural Property and the Law: Complex Colonial Histories (2024). She advocates for interdisciplinary approaches to reconcile legal frameworks with ethical imperatives in heritage disputes. Grants & Awards: FHEA (2014) International Partnership Development Funding (IPDF) for collaborative research in Washington D.C. (2017) Australian grant for cross-disciplinary art authentication work (2017) Advising & Grants: Supervised over 10 PhD/MPhil students on topics like repatriation of Ethiopian sacred objects and provenance research in museum collections. Active in grant-funded initiatives focusing on cultural heritage rescue and international arbitration. Labs & External Roles: Serves as PGR Convenor in History of Art and Deputy Dean for Internationalisation. Engaged with global networks like the British Committee for the Reunification of the Parthenon Marbles and the Con/servare conservation research group.

• Art Law
• Cultural Heritage Law
• International Cultural Heritage Law
• +۵ مورد دیگر

Joongi Shin is a Postdoctoral Researcher affiliated with the Department of Information and Communications Engineering and the User Interfaces research group. He holds a Doctoral degree from the Korea Advanced Institute of Science and Technology (KAIST), awarded in August 2021. His research focuses on advancing human-AI collaboration in design, exploring topics like large language models (LLMs), participatory design, and consensus-building in co-design processes. He investigates how AI can enhance workflow efficiency, idea generation, and user interface design while addressing challenges in posture ergonomics and collaborative technologies. Key research trends include analyzing AI's role in problem reframing, generating personas, and integrating chatbots for consensus-building. His work bridges computational tools with human-centric design principles, emphasizing practical applications in both digital and physical domains. Collaborations with researchers like Antti Oulasvirta and Ana Lucero highlight his engagement with interactive systems and human factors. Joongi’s contributions span academic conferences such as CHI, UIST, and DIS, focusing on innovative applications of AI in design processes and ergonomic solutions for non-traditional workspaces.

• Artificial Intelligence
• Human-Computer Interaction
• User Interface Design
• +۵ مورد دیگر

Berend Jan van der Zwaag is an Assistant Professor at Universiteit Twente, affiliated with the Sensors and Smart Systems Research Centre. His work contributes to UN Sustainable Development Goals related to sustainable industry and innovation. He focuses on Artificial Intelligence, Cyber-physical systems, and Machine Learning applications in sensor networks and inertial measurement systems. Research interests include equine gait analysis using IMU sensors, machine health monitoring through ontology-based frameworks, and wireless sensor network design. Notable projects include the EquiMoves system for objective horse gait examination and an ontology framework for smart product-service systems in industrial IoT. Recent work emphasizes terrain classification for equine systems, gait event estimation, and speed estimation using body-mounted sensors. His publications span conferences like IEEE DCOSS-IoT and journals like Sensors and IEEE Internet of Things Journal. Accepting PhD Students Key collaborator: Prof. Paul Havinga (Twente) Research partnerships in Netherlands and international institutions

• Artificial Intelligence
• Cyber-physical systems
• Machine Learning
• +۳ مورد دیگر

Shafique Chaudhry is an Assistant Professor of Information Systems and Operations at the Reh School of Business, Clarkson University. He holds a Master's in Computer Science from the University of Punjab, Pakistan, and a PhD from Ajou University, Korea. His postdoctoral research at University College Cork, Ireland, preceded his faculty roles in Saudi Arabia and Oman. His research focuses on Data Analytics, IoT, and Machine Learning, with applications in cybersecurity, smart grids, and healthcare. He has authored over 30 peer-reviewed articles and holds two international patents. Notable awards include IITA Korea's research award and Dhofar University's Best Researcher award (2015). Dr. Chaudhry teaches courses such as Applied Data Analytics, Machine Learning, and Database Design. His work spans IoT security frameworks, sensor network optimization, and policy compliance systems. Recent trends in his publications emphasize hybrid ML techniques for IoT security, environmental sensor calibration, and pediatric neurosurgery outcome analysis. Education : MSc Computer Science (Punjab University), PhD (Ajou University) Patents : Two international patents (details not specified) Lab/Teams : Active in IoT, cybersecurity, and smart systems research groups

• Data Analytics
• Internet of Things (IoT)
• Machine Learning
• +۳ مورد دیگر