جست‌وجوی استاد و پژوهشگر

Christof Röhrigمشاهده پروفایل

استاد

• Robotics
• Mobile Robotics
• Wireless Sensor Networks
• +۳ مورد دیگر

Christof Röhrig is a Professor at the FH Dortmund - University of Applied Sciences and Arts , conducting research at the Institute for the Digitalization of Work and Living Environments (IDiAL). He leads the Intelligent Mobile Systems Lab , focusing on robotics, wireless sensor networks, and kinematic modeling. His research spans mobile robotics , indoor localization , and industrial automation , with a strong emphasis on IoT , 5G networks , and rescue robotics . Key trends in his recent work include LoRaWAN localization , modular robot design , and digital twin architecture . He collaborates extensively on motion control , sensor fusion , and energy-efficient systems , though no specific students, awards, or grants are listed in the provided data. The lab at IDiAL explores robotics in emergency response and industrial IoT applications , with a focus on precision localization and collaborative automation .

Jill Duerr Berrickمشاهده پروفایل

استاد

• Child welfare system
• Foster care
• Family poverty
• +۵ مورد دیگر

Jill Duerr Berrick is a Distinguished Professor and the Zellerbach Family Foundation Professor of Social Welfare at the University of California, Berkeley, with a joint appointment as Professor II at the University of Bergen, Norway. She currently serves as chair of the undergraduate major in the School of Social Welfare and has been a faculty member at UC Berkeley since 1990, progressing from Research Specialist and Lecturer to full Professor. Dr. Berrick's research focuses on the child welfare system, particularly examining child protection services for vulnerable families. Her work targets the intersection of poverty, childhood development, parenting, and service systems designed to address family well-being. She approaches research by centering the voices of service system consumers and providers to identify impacts of social problems and solutions on family life. Her influential works have examined kinship foster care benefits and limitations, characteristics of effective foster caregivers, and human impacts of poverty-related policies. Her publications reveal a strong focus on comparative international child protection systems, with particular attention to the U.S. and Norway. Recent work emphasizes public perceptions of child protection, racial/ethnic disparities in child welfare systems, mental health services for youth in care, and policy reforms related to child support enforcement in foster care contexts. She has developed a Global Typology for Child Protection systems based on data from 50 countries across six continents. Zellerbach Family Foundation Professorship Distinguished Professor title Co-founded Berkeley Hope Scholars program for students with foster care experience Former chair of Committee on Undergraduate Scholarships, Honors, and Financial Aid (CUSHFA) Former chair of Admissions, Enrollment, and Preparatory Education committee Dr. Berrick has secured numerous research grants totaling millions of dollars from organizations including the Norwegian National Research Council, National Institute of Mental Health, David and Lucile Packard Foundation, and California Endowment. She actively mentors students through research projects and directs the FamiliesNotFees initiative, working with students to reform policies requiring birth parents to pay for foster care stays. Her international collaborations, particularly with Professor Marit Skivenes at the University of Bergen, have produced significant cross-national research on child protection systems. She maintains active research teams focused on child protection systems, foster care policy reform, and mental health services for youth in care, with ongoing projects including 'CPS-World' funded by the Norwegian National Research Council and the 'Foster care mental health family navigator' study funded by the National Institute of Mental Health.

• Energy Economics
• Electricity Market Regulation
• Renewable Energy Policy
• +۷ مورد دیگر

Paul Edward Simshauser is a Professor at Griffith Business School, Griffith University in Brisbane, Australia. His research focuses on energy economics, particularly Australia's National Electricity Market (NEM), with extensive publications on electricity market design, renewable energy integration, and energy policy. His research interests span energy economics, electricity market regulation, renewable energy policy, electricity pricing mechanisms, power system economics, resource adequacy, fuel poverty, and renewable energy zones. His work addresses critical challenges in energy market design, particularly as markets transition toward higher renewable penetration. He examines the economic implications of policy interventions, market structures, and technological changes in electricity systems. Analysis of his recent publications reveals a strong focus on Australia's energy transition challenges. His research examines renewable energy zone development, electricity market design for high renewable penetration, price formation mechanisms, and the social impacts of energy policy. He frequently analyzes the intersection of engineering constraints and economic outcomes in power systems, with particular attention to how market structures affect investment and operational decisions. Professor Simshauser has made significant contributions to understanding the economic dimensions of Australia's National Electricity Market, including its reform experience, policy challenges, and response to the energy transition. His work provides critical insights for policymakers navigating the complex trade-offs between energy security, affordability, and sustainability. He has advised numerous PhD students and research projects focused on energy economics and electricity markets. His research has been supported by grants from energy policy research groups and institutions focused on electricity market analysis and reform.

Rodrigo Zamithمشاهده پروفایل

دانشیار

• News innovation
• Emerging media technologies
• Data-driven news work
• +۶ مورد دیگر

Rodrigo Zamith is an Associate Professor and Chair of the Journalism Department at the University of Massachusetts Amherst. He is also a Faculty Associate of UMass' Computational Social Science Institute and a Faculty Affiliate of its Department of Communication. His work bridges journalism and technology, focusing on the evolving media landscape and digital research methods for social scientists. Dr. Zamith received his academic training from: Ph.D. in Mass Communication from the University of Minnesota M.S. in Mass Communication from Florida International University B.A. in Journalism from the University of Minnesota Rodrigo Zamith's research interests focus on the intersection of journalism and technology, examining how digital platforms and algorithms reshape news production and consumption. His work explores news innovation, emerging media technologies, data-driven news work, algorithms in journalism, and computational social science. He investigates how journalistic practices are reconfigured in digital environments and develops innovative digital research methods for studying media phenomena. His scholarship draws on theoretical frameworks from sociology, psychology, science & technology studies, and economics, employing both quantitative and qualitative methodologies. His recent publications demonstrate a clear trajectory examining the role of algorithms, data, and digital platforms in journalism. His work spans computational analyses of news recommendation systems, examinations of open-source infrastructure in newsrooms, studies of visual climate change communication on social media, and investigations into how journalists navigate audience metrics. His research reveals both the challenges and opportunities presented by technological change in journalism, with particular attention to issues of transparency, trust, and democratic implications. Dr. Zamith has received significant recognition for his scholarly contributions: Nafziger-White-Salwen Dissertation Award (best dissertation in mass communication) Finalist for the Gene Burd Dissertation Award Finalist for Digital Journalism's Article of the Year award Lilly Teaching Fellow FlexLearning Fellow Recipient of UMass' College Outstanding Teaching Award Finalist for the University's Distinguished Teaching Award As an educator, Dr. Zamith teaches both conceptually-oriented and skills-oriented courses including Data-Driven Storytelling, Introduction to Journalism, International Journalism, Content Analysis, and Introduction to Visual Storytelling. His teaching excellence has been recognized through multiple awards. While specific grant information isn't detailed in the provided text, his research output suggests active engagement with funding opportunities in computational social science and digital journalism. Dr. Zamith is affiliated with UMass' Computational Social Science Institute, where he contributes to interdisciplinary research on digital methods. His work with GitHub repositories suggests engagement with open-source communities, and his research on newsroom technology indicates connections with media organizations exploring digital innovation.

• Smart Electricity Grids
• Energy Storage Systems
• Electromagnetic Compatibility
• +۳ مورد دیگر

Daniel Månsson is a Professor at the Department of Electrical Engineering, Royal Institute of Technology (KTH), specializing in smart electricity grids and power system components. His work spans electromagnetic compatibility (EMC) of large distributed systems, energy storage optimization, and privacy protection in smart metering. PhD in Engineering Physics (with specialization in Electromagnetism) Docent (Swedish Academic Title) in Electrical Engineering His research focuses on: Optimization of self-sufficient microgrids with energy hubs Smart meter privacy protection using energy storage EMC analysis of photovoltaic systems and UWB transients Hybrid energy storage system performance in renewable grids Recent publications indicate expertise in: Electromagnetic interference from solar PV systems Cyber-physical security in smart meters Conducted emission analysis Greenhouse gas reduction through optimized storage

Dimitri Mavrisمشاهده پروفایل

استاد

• Advanced Design Methods
• Aircraft Conceptual and Preliminary Design
• Air-Breathing Propulsion Design
• +۴ مورد دیگر

Dimitri Mavris is a Professor at the School of Aerospace Engineering , Georgia Institute of Technology, holding distinguished titles including Boeing Chair in Advanced Aerospace Systems Analysis and S.P. Langley Distinguished Professor . He directs the Aerospace Systems Design Laboratory (ASDL) and serves as Executive Director of the Professional Master’s in Applied Systems Engineering (PMASE) . Education B.S., Aerospace Engineering, Georgia Institute of Technology (1984) M.S., Aerospace Engineering, Georgia Institute of Technology (1985) Ph.D., Aerospace Engineering, Georgia Institute of Technology (1988) Dr. Mavris specializes in advanced design methods , aircraft preliminary design , and non-deterministic design theory , focusing on multi-disciplinary optimization and system of systems architecting . His work spans propulsion systems, space exploration, and sustainable aviation technologies. Recent research trends include machine learning for aerospace safety , hybrid-electric propulsion analysis , and digital twin applications in energy systems. His lab produces 100+ annual publications, reflecting leadership in MBSE , UAS certification , and lunar operations modeling . Scientific Awards Class of 1934 Distinguished Professor Award (2024) NSF CAREER Award (1997) Fellow of AIAA (2009-present) NASA Blue Marble Award (2017) SGA Faculty of the Year (2012-2013) As an advisor to Georgia Tech's AIAA student chapter, Dr. Mavris mentors 1,484 alumni (300 Ph.D., 1,184 M.S.) and leads industry partnerships with FAA , Airbus , and Siemens . His labs include the Vertical Lift Research Center and Strategic Energy Institute , with global initiatives like the ICAS presidency (2023-2024).

• Mechatronics
• Signal Processing
• Control Systems
• +۷ مورد دیگر

Jonas Sjöberg is a Full Professor of Mechatronics at Chalmers University of Technology, where he leads the Mechatronic research group in the College of Engineering. His research spans multiple aspects of mechatronic systems with a strong focus on automotive applications. Sjöberg holds leadership roles in numerous research projects related to autonomous vehicles, vehicle control systems, and transportation safety. His research interests encompass a broad spectrum of mechatronics applications, with particular emphasis on model-based methods, signal processing, control systems, system identification, and optimization for design and product development of mechatronic systems. Sjöberg's work bridges theoretical control engineering with practical automotive applications, especially in the domains of Automotive Active Safety and Hybrid Electric Vehicles. Analysis of Sjöberg's recent publications reveals a strong research trajectory focused on autonomous vehicle technologies, with particular attention to vehicle dynamics control, intersection safety, road surface condition estimation, and optimization of vehicle maneuvers. His work demonstrates a consistent approach of applying advanced control theory to solve real-world transportation challenges, with increasing emphasis on machine learning techniques integrated with traditional control systems. Sjöberg actively supervises research and education at both undergraduate and graduate levels while leading multiple research projects funded by VINNOVA, the European Commission, and other organizations. His research group collaborates extensively with both academic institutions and industry partners in the automotive sector. His laboratory work focuses on mechatronic systems development, particularly for automotive applications including autonomous bicycles, bus docking systems, and vehicle control algorithms. The research group maintains strong connections with the automotive industry, particularly in Sweden's robust vehicle technology ecosystem.

• Aerospace Engineering
• Control Systems
• Guidance, Navigation and Control (GNC)
• +۳ مورد دیگر

Simone Battistini is a Senior Lecturer in Aerospace Engineering at Sheffield Hallam University since 2019. He holds a PhD (2013), MSc (2009), and BSc (2006) in Control Engineering from Sapienza University of Rome. With over a decade of academic and industrial experience, his research focuses on Guidance, Navigation, and Control (GNC) systems for aerospace applications, including satellites, UAVs, and autonomous vehicles. Education: BSc in Control Engineering, Sapienza University of Rome (2006) MSc in Control Engineering, Sapienza University of Rome (2009) PhD in Aerospace Engineering, Sapienza University of Rome (2013) Research Interests: GNC systems for defense and space applications, satellite missions, and interdisciplinary solutions for modern aerospace challenges. Specific areas include uncertain system navigation, autonomous vehicle coordination, and small satellite control. Grants & Collaborations: Principal Investigator on six Brazilian-funded projects (CNpQ, AEB, FAP-DF), collaborating with institutions like University of Nottingham and Keldysh Institute. Research includes LAICAnSat airdropped platforms and attitude control for small satellites. Labs & Teams: Co-founder of the Laboratory of Simulation and Control of Aerospace Systems at University of Brasilia. Active in international committees for CubeSat workshops and satellite missions.

Malcolm A. MacIverمشاهده پروفایل

استاد

• Sensory Systems
• Animal Behavior
• Neurobiology
• +۵ مورد دیگر

Malcolm A. MacIver is a Professor of Biomedical Engineering and Mechanical Engineering at Northwestern University's McCormick School of Engineering. His research integrates computational modeling, bio-inspired robotics, and neurobiology to study sensory systems and movement in animals. He leads the Center for Robotics and Biosystems and has contributed to groundbreaking work on the evolution of vertebrate sensory systems and climate policy communication. Prof. MacIver holds a Ph.D. in Neuroscience from the University of Illinois at Urbana-Champaign, an M.A. in Philosophy, and a B.S. in Computer Science from the University of Toronto. His work spans interdisciplinary domains, including robotics, climate science communication, and vertebrate brain evolution. His research has been recognized with prestigious awards such as the Presidential Early Career Award for Science and Engineering (2009) and NSF Career Award (2009). He actively contributes to science communication through roles like Science Consultant for the National Academy of Science's Science Entertainment Exchange and as an organizer of international robotics symposiums. In teaching, he instructs graduate courses in computational neuromechanics and undergraduate classes in neuroscience and Python programming for engineering. His lab's innovations include robotic systems modeling animal behavior and climate prediction market experiments influencing public policy support.

• Electrical Engineering
• Computer Science
• Information Technology
• +۳ مورد دیگر

Bernhard Rinner is a Professor at the Institute of Networked and Embedded Systems within the Faculty of Technical Sciences at Alpen-Adria-Universität Klagenfurt. He is a member of the university Senate and serves as Prodekan (Deputy Dean). His research spans robotics, embedded systems, sensor networks, and privacy-aware computing , with a focus on resource-efficient designs for drones, autonomous systems, and IoT applications. Email: Bernhard.Rinner@aau.at Phone: +43 463 2700 3671 Office: B02.1.62, Lakesidepark Haus B02, Klagenfurt, Austria Research Interests include: Self-aware autonomous systems for adaptive mission planning and anomaly detection Resource-efficient embedded AI for drones and camera networks Secure IoT applications with privacy-preserving visual data processing Multi-agent coordination in confined environments and 3D navigation Dynamic sensor calibration for low-cost wireless networks Publications reflect trends in drone networks, self-aware computing, and privacy-aware sensing , emphasizing lightweight architectures, distributed coordination, and energy-efficient designs. Many recent works focus on binary neural networks, decentralized re-identification, and adaptive sensor reconfiguration .

Emily Gibsonمشاهده پروفایل

دانشیار

• Neurophotonics
• Biomedical Optics
• Neural Imaging
• +۴ مورد دیگر

Dr. Emily Gibson is an Associate Professor in the Department of Bioengineering at the University of Colorado School of Medicine. She holds a PhD from the University of Colorado Boulder (2004) and a BS from the Colorado School of Mines (1997). Her multidisciplinary research focuses on developing advanced optical technologies for neuroscience applications. Her primary research interests include: Development of implantable miniature microscopes for two-photon brain imaging in freely behaving animals Superresolution STED microscopy for subcellular imaging of protein dynamics Optical interfaces for neural modulation and sensing in central and peripheral nervous systems Applications in brain mapping, neural circuit analysis, and bioelectronic medicine Dr. Gibson's recent publications demonstrate a strong focus on neurophotonic tool development, including miniature microscopes, fiber-optic imaging systems, and superresolution techniques. Her work consistently applies these technologies to study neural coding, learning mechanisms, and neurodegenerative processes. She leads the Biophotonics Lab at CU Anschutz, which actively develops open-source neurophotonic tools. Current projects include BRAIN Initiative-funded work on voltage imaging and NSF-supported research on odor navigation. Her lab maintains active collaborations with neuroscientists and clinicians to translate optical technologies into neuroscience research and clinical applications.

• Construction Logistics
• Digital Twin Frameworks
• Building Information Modeling (BIM)
• +۴ مورد دیگر

Stephan Kessler is a researcher at the Technical University of Munich , affiliated with the Department of Mechanical Engineering and the Chair of Conveying Technology, Material Handling, and Logistics . His work focuses on construction logistics, digital twins, and IoT integration in building processes. Contact: stephan.kessler@tum.de Key research areas: Digital Twin, BIM, DEM simulations, IoT in construction Collaborates with Prof. Johannes Fottner on construction automation projects His research emphasizes digitalization of construction processes through technologies like RFID, machine learning, and simulation tools. Recent publications address tower crane planning, co-robot integration, and bulk material handling standards. Article trends show consistent focus on construction automation (IoT, digital twins, BIM), material flow optimization (DEM simulations, screw conveyor standards), and equipment lifecycle management (telematics, RFID identification). Kessler contributes to industry-university collaborations through projects like BauFlott (fleet management systems) and TEP (Tower Crane Deployment Planner). His work bridges theoretical research with practical implementations in construction site logistics.

• Control Systems
• Motor Control
• Autonomous Vehicles
• +۴ مورد دیگر

Ramprasad Potluri is an Associate Professor in the Department of Electrical Engineering at the Indian Institute of Technology Kanpur (IIT Kanpur), where he has been contributing to control systems research and education. His academic journey includes a PhD from the University of Kentucky, USA (2003) and a Master of Science in Electrical Engineering from Saint Petersburg State Technical University, Russia (1996). Dr. Potluri's research focuses on the practical applications of Control Systems theory, with particular emphasis on motor control, autonomous vehicle navigation, and fault-tolerant systems. His work bridges theoretical control concepts with real-world engineering applications, making significant contributions to both academic research and educational practices in the field. His publication record from 2011-2015 demonstrates a strong focus on applying control theory to practical engineering challenges, particularly in the domains of electric vehicles, robotic systems, and educational laboratory development. His research shows consistent progression from theoretical foundations toward increasingly complex real-world applications, with a notable emphasis on making advanced control systems accessible through low-cost educational platforms. Best Teaching Assistant award recipient Manavaalan Gunasekaran developed the new Control Systems Laboratory under his guidance Jitendra Bharadwaj, working with Dr. Potluri and Dr. KS Venkatesh, received a first prize at Techkriti (IIT Kanpur technology festival) His laboratory work in Western Labs 217A focuses on developing practical control systems experiments that make advanced control concepts accessible to undergraduate students, complementing his research on advanced control applications in autonomous vehicles and robotics.

Youngmoo Kimمشاهده پروفایل

استاد

• Machine Learning
• Audio Signal Processing
• Human-Computer Interaction
• +۵ مورد دیگر

Youngmoo Kim is Professor of Electrical and Computer Engineering at Drexel University, where he directs the Expressive and Creative Interactive Technologies (ExCITe) Center. His leadership extends to the Music & Entertainment Technology Laboratory (MET-lab), focusing on machine listening, robotics for expressive interaction, and STEM education through music technology. Education: PhD, Media Arts & Sciences, MIT (2003) MS, Electrical Engineering, Stanford University MA, Music, Stanford University BS, Engineering, Swarthmore College BA, Music, Swarthmore College Research Focus: Kim's interdisciplinary work bridges audio signal processing, machine learning for music information retrieval, human-robot interaction, and acoustic synthesis. His lab develops novel interfaces including brain-controlled robotics, augmented instruments, and AI-driven music systems, while championing K-12 STEAM education through technological innovation. Publication Trends: Recent articles demonstrate strong convergence of deep learning with music technology, particularly in neural audio synthesis, instrument recognition, and robotic control systems. Emerging themes include differentiable physical modeling of instruments, neuroadaptive interfaces using fNIRS/tDCS, and computational approaches to creative collaboration. Awards & Honors: 2021 College of Engineering Inclusive Excellence Award 2013 Apple Distinguished Educator 2012 Lindback Foundation Distinguished Teaching Award 2012 Philadelphia Geek Awards Scientist of the Year 2007 NSF CAREER Award Leadership & Funding: Kim has secured research support from the National Science Foundation and Knight Foundation. His ExCITe Center serves as an interdisciplinary hub for creative technology development, while MET-lab advances audio-machine intelligence through collaborations across engineering, computer science, and performing arts.

Timothy Holyمشاهده پروفایل

استاد

• Neuroscience
• Olfaction
• Neural Coding
• +۶ مورد دیگر

Timothy Holy, PhD is the Alan A. & Edith L. Wolff Professor of Neuroscience and Vice Chair of Research at Washington University School of Medicine. He leads the Holy Lab, which focuses on the neural mechanisms of olfactory coding and the development of innovative imaging technologies for neuroscience research. His educational background includes a BA in Mathematics and Physics (summa cum laude) from Rice University (1991), an MA in Physics from Princeton University (1992), and a PhD in Physics from Princeton University (1997) under thesis advisor Stanislas Leibler. Dr. Holy's research spans multiple domains of neuroscience with particular emphasis on the olfactory system of mice. His lab has pioneered light sheet microscopy for calcium imaging, enabling simultaneous recording from tens of thousands of neurons. More recently, they developed PhOTseq, a technique for optically tagging neurons for later sequencing. His work bridges physics, neuroscience, and computational approaches to understand how sensory systems process information. He is also among the world's foremost creators of the Julia programming language, which has gained exponential adoption in scientific computing. Analysis of his recent publications reveals a strong focus on neural coding in decision-making circuits, olfactory processing, and the development of computational tools for biological research. His work increasingly integrates machine learning approaches with traditional neuroscience techniques. Distinguished Teaching Service Award (2005, 2008, 2014) McKnight Technological Innovation in Neuroscience Award (2007) St. Louis Academy of Sciences Innovation Award (2009) NIH Director's Pioneer Award (2009) Society for Neuroscience Research Award for Innovation in Neuroscience (RAIN) (2009) Dr. Holy has mentored numerous students and postdoctoral researchers who have gone on to establish their own research programs. His lab has secured significant grant funding supporting technology development and fundamental neuroscience research. Current projects include investigating cellular mechanisms of individuality and plasticity, navigation using olfactory cues, and developing new mathematical tools for optimization and machine learning. The Holy Lab combines a focus on understanding neural circuits and behavior with a willingness to pioneer new technologies. It maintains strong collaborations across disciplines, particularly in the development and application of the Julia programming language for biological research.