جست‌وجوی استاد و پژوهشگر

Sean Anderssonمشاهده پروفایل

استاد

• Systems and Control Theory
• Robotics
• Nanotechnology
• +۱۲ مورد دیگر

Sean Andersson is a Professor in Mechanical Engineering and Systems Engineering at the College of Engineering, Boston University, and serves as Director of the BU Robotics Lab. His research bridges systems and control theory with applications in nanotechnology , atomic force microscopy , and robotics . His work in nanobioscience focuses on single molecule tracking and high-speed imaging in atomic force and fluorescence microscopy, leveraging control theory to enhance imaging capabilities. In robotics, he develops stochastic control methods for autonomous systems operating in complex environments, emphasizing multi-agent systems , sparsely sampled data , and symbolic control frameworks . Recent publications highlight trends in receding horizon control , persistent monitoring , neural style transfer for imaging , and stochastic policy optimization . The Andersson Lab also explores compressive sensing and optimal control for sensor networks and nanoscale fluid dynamics.

• Machine Learning
• Pattern Recognition
• Classification
• +۶ مورد دیگر

Christian Igel is a Professor at the Department of Computer Science, University of Copenhagen, and serves as director of the SCIENCE AI Centre . He is also a co-lead of the Pioneer Centre for Artificial Intelligence in Denmark. His academic journey includes a Doctoral degree from Bielefeld University (2002) and a Habilitation degree from Ruhr-University Bochum (2010). Igel is a Juniorprofessor (2002–2010) and has held editorial roles at journals like KI - Künstliche Intelligenz and Artificial Intelligence Journal . Doctoral degree: Faculty of Technology, Bielefeld University, Germany (2002) Habilitation degree: Department of Electrical Engineering and Information Sciences, Ruhr-University Bochum, Germany (2010) His research spans Machine Learning , focusing on Support Vector Machines , Evolution Strategies , Reinforcement Learning , Deep Neural Networks , and PAC-Bayesian Analysis . He applies these methods to Environmental Monitoring , Medical Diagnostics , and Climate Research . Recent publications highlight work on adversarial machine learning , environmentally sustainable AI , and tree resource mapping using deep learning. His scientific awards include being a ELLIS Fellow . Igel’s software tools like Shark , woody , and Multi-Planar UNet are widely used in research and industry. Notable grants and collaborations involve projects with European Lab for Learning and Intelligent Systems (ELLIS) , SCIENCE AI Centre , and international teams in Denmark , Germany , and France . His lab leadership emphasizes open-source frameworks and reproducible research. Editorial Roles: German Journal on Artificial Intelligence , Evolutionary Computation Journal , Artificial Intelligence Journal Software Projects: Shark , woody , Multi-Planar UNet , U-Time Collaborations: SCIENCE AI Centre , Pioneer Centre for Artificial Intelligence , European Lab for Learning and Intelligent Systems

Jeffrey L. Krichmarمشاهده پروفایل

استاد

• Neurorobotics
• Embodied Cognition
• Biologically Plausible Neural Models
• +۶ مورد دیگر

Jeffrey L. Krichmar is a Professor in the Department of Cognitive Sciences and Department of Computer Science at the University of California, Irvine. His academic journey includes a B.S. in Computer Science from the University of Massachusetts Amherst (1983), an M.S. in Computer Science from The George Washington University (1991), and a Ph.D. in Computational Sciences and Informatics from George Mason University (1997). Prior to UCI, he served as Assistant Professor at George Mason University (1997-1999) and Senior Fellow at The Neurosciences Institute (1999-2007). University of California, Irvine (2007-present) George Mason University (1997-1999) The Neurosciences Institute (1999-2007) His research focuses on neurorobotics , exploring how embodied cognition and biologically plausible neural models can enhance robotic systems. Key areas include spiking neural networks , neuromodulation , path planning , and interactive tactile robots for therapeutic applications. His work bridges neuroscience , robotics , and cognitive science , with applications in autonomous vehicles , neuroprosthetics , and AI explainability . Recent publications emphasize spiking neural networks for navigation , neuromodulated attention , and neuromorphic hardware integration. The development of CARLsim, a GPU-accelerated spiking neural network simulator now in version 6.0, represents a major technical contribution. His team's work on socially assistive robots like CARL-SJR targets therapeutic applications for autism and ADHD. Scientific Awards IJCNN 2020 Best Paper Award Finalist for Best Student Paper at IJCNN 2018 Best Paper Award at IEEE IJCNN 2009 Grants include National Science Foundation funding for neural models of decision-making (2009). His lab (Cognitive Anteater Robotics Laboratory) develops systems that use large-scale brain simulations for autonomous behavior , with applications in adaptive robotics , sensorimotor learning , and neuroethology . Current projects explore neuromodulatory influences on attention systems and cognitive flexibility .

Audrey Bowdenمشاهده پروفایل

دانشیار

• Biomedical Optics
• Point-of-Care Diagnostics
• Biomedical Imaging
• +۴ مورد دیگر

Audrey Bowden is an Associate Professor at Vanderbilt University in both the Department of Biomedical Engineering and Department of Electrical and Computer Engineering . She is also the Dorothy J Wingfield Phillips Chancellor Faculty Fellow . Education: PhD in Biomedical Engineering (2007) from Duke University BSE in Electrical Engineering (2001) from Princeton University Research Interests: Bowden's work focuses on biomedical optics and point-of-care diagnostics , with a strong emphasis on addressing healthcare disparities through low-cost technologies. Key areas include: Biomedical Imaging Biophotonics Image Processing Machine Learning in Medical Imaging Optical Coherence Tomography (OCT) Functional Near-Infrared Spectroscopy (fNIRS) Publication Trends: Recent work combines machine learning with endoscopic imaging to differentiate cancer from inflammation, develops low-cost OCT systems for smartphones, and improves fNIRS accessibility for diverse patient populations. Her lab also focuses on 3D reconstruction algorithms for urological applications and specular reflection removal in endoscopic videos. Lab & Clinical Collaborations: The Bowden Biomedical Optics Laboratory (BBOL) collaborates with clinical departments including urology , dermatology , otolaryngology , and women's health . The lab integrates optics , microfluidics , and computer science to create hardware/software tools for resource-constrained environments.

Joanna Deaton Bertramمشاهده پروفایل

استادیار

• Medical Robotics
• Continuum Robotics
• Surgical Robotics
• +۴ مورد دیگر

Dr. Joanna Deaton Bertram is an Assistant Professor in the Thomas Lord Department of Mechanical Engineering and Materials Science at Duke University’s Pratt School of Engineering. She concurrently holds an Assistant Professor appointment in Surgery, underscoring her interdisciplinary commitment to advancing medical robotics. Dr. Bertram leads a research laboratory devoted to the design, modeling, and control of robotic systems for surgical and interventional applications, working closely with Duke’s clinical and engineering communities. Education Ph.D. in Robotics, Georgia Institute of Technology, 2024 M.S. in Mechanical Engineering, Georgia Institute of Technology, 2024 B.S. in Biomedical Engineering, Georgia Institute of Technology, 2018 Research Interests Dr. Bertram’s research program is centered on medical robotics , with particular emphasis on continuum robotics and image-guided interventions . Her work integrates novel mechanical design with advanced control algorithms and smart materials to create robotic systems capable of navigating complex anatomical pathways. A hallmark of her approach is the incorporation of real-time fiber-optic shape and force sensing (using Fiber Bragg Grating technology) to provide surgeons with unprecedented feedback during procedures. Application domains include steerable needles for brachytherapy , robotic guidewires for endovascular surgery , and pediatric neuroendoscopy . Publication Themes Across more than fifteen peer-reviewed articles, Dr. Bertram has systematically advanced the state of the art in surgical robotics , fiber-optic sensing , and robotic system modeling . Her 2024 tutorial on Nitinol and Tungsten tendon attachment techniques provides practical guidance for building highly articulated continuum robots, while her 2023 series on the COAST guidewire robot demonstrates model-based design and simultaneous shape/force sensing for large-deflection medical devices. Earlier work explored 3D-printed patient-specific robotic tools and carbon-nanotube flexible sensors, illustrating a trajectory from fundamental sensor research to full robotic system integration. Scientific Recognition & Collaboration Although no major external awards are explicitly listed, Dr. Bertram’s publications in top-tier venues such as IEEE Robotics and Automation Letters , IEEE Transactions on Medical Robotics and Bionics , and IEEE/ASME Transactions on Mechatronics attest to strong peer recognition. She actively invites motivated graduate students, post-docs, and research staff to join her lab, fostering an open and interdisciplinary environment. Advising & Grants Dr. Bertram’s lab is presently recruiting trainees at all levels. While specific funded grants are not enumerated, her dual departmental appointments and extensive publication record suggest active federal or foundation support. Prospective students and collaborators are encouraged to contact her directly at joanna.d.bertram@duke.edu . Laboratory & Teams Dr. Bertram directs a laboratory within Duke University’s Pratt School of Engineering that collaborates closely with clinicians in the School of Medicine. The group focuses on rapid prototyping of medical devices, in-vitro and ex-vivo validation, and translation of robotic technologies to the operating room.

Line Roaldمشاهده پروفایل

استاد

• Power Systems Optimization
• Renewable Energy Integration
• Grid Resilience
• +۵ مورد دیگر

Professor Line Roald is a faculty member in the Department of Electrical and Computer Engineering at the University of Wisconsin-Madison. Her research focuses on power system optimization, renewable energy integration, grid resilience, and wildfire risk mitigation using stochastic optimization and data-driven methods. Education : PhD (2016), MS (2012), BS (2009) from ETH Zurich Key Research Areas : Power Systems Optimization, Renewable Energy Integration, Wildfire Risk Mitigation, Stochastic Programming, Grid Decarbonization Her work addresses critical challenges in sustainable energy systems, including balancing grid efficiency and risk, optimizing electrolyzer scheduling for flexibility, and predicting cascading blackout severity using graph neural networks. She has developed frameworks for carbon intensity comparison and wildfire risk assessment in power systems. Scientific Awards : 2024 Inclusion, Equity and Diversity in Engineering Award 2024 Vilas Faculty Early Career Investigator Award 2023 IEEE Power Tech Best Student Paper Award 2021 NSF CAREER Award 2019 MTLE Fellow Professor Roald mentors graduate students and teaches courses including Introduction to Optimization and On-Line Control of Power Systems . Her publications highlight innovative approaches to grid security, carbon-efficient energy markets, and climate resilience in infrastructure systems.

Sam Emaminejadمشاهده پروفایل

دانشیار

• Biomedical Engineering
• Wearable Technology
• Microfluidics
• +۳ مورد دیگر

Sam Emaminejad is an Associate Professor in the Department of Electrical and Computer Engineering at the Henry Samueli School of Engineering and Applied Science, University of California Los Angeles (UCLA). His research focuses on developing advanced wearable bioelectronic systems for continuous, noninvasive health monitoring and personalized therapeutics. Key Research Areas: Biomarker detection via flexible sensors Microfluidic and ferrobotic systems Stress and drug level monitoring Biodegradable and breathable wearable materials Recent Trends: Analysis of sweat and interstitial fluids using microneedles, aerogel skins, and programmable microfluidics. Machine learning integration for physiological evaluation is prominent. Awards & Collaborations: While specific awards aren't listed, he collaborates with major UCLA Health and Engineering faculty, including Ali Khademhosseini and Dino Di Carlo, on projects funded by NIH T32 grants and institutional fellowship programs. Grants & Labs: Leads projects in NIH-funded wearable sensor research, including the development of autonomous systems for cystic fibrosis and glucose monitoring. His lab explores ferrobotic swarms and hydrogel-based interfaces for clinical and consumer applications.

Peisan Sharel Eمشاهده پروفایل

مدرس

• Electrochemistry
• Biosensors
• Energy Storage
• +۱ مورد دیگر

Dr. Peisan Sharel E is a Lecturer in Chemical Engineering at the University of Edinburgh's School of Engineering, affiliated with the Institute for Bioengineering. Education: PhD in Chemistry from University of Warwick (2017), BEng in Materials Science from Universiti Sains Malaysia. Research Interests: Specializes in nanoscale electrochemistry, biosensors, electrochemical energy storage, and nanomaterials. Develops applications in healthcare monitoring and environmental sensing. Publications: Recent work includes tactile sensing via electrical impedance tomography and uric acid detection in sweat using diamond electrodes. Awards: Gold Award and Romanian Innovation Award at British Invention Show (2011) Gold Medal and Sustainable Technology Award at Malaysian National Research Competition (2011) Facilities: Leads projects on electrochemical sensors through EPSRC and Royal Society grants.

Mortaza Saeidi-Javashمشاهده پروفایل

استادیار

• Flexible Electronics
• Thermoelectric Devices
• 3D Printing Technologies
• +۵ مورد دیگر

Dr. Mortaza Saeidi-Javash is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at California State University, Long Beach (CSULB). He joined in Fall 2022 following his Ph.D. in Mechanical Engineering from the University of Notre Dame, where he received the Prince Engineering Fellowship and Dehner Graduate Fellowship. His research focuses on developing next-generation flexible electronics using advanced materials and 3D printing technologies, particularly thermoelectric devices for wearable applications and multifunctional sensors for structural health monitoring. Dr. Saeidi-Javash's academic background includes interdisciplinary work combining materials science, additive manufacturing, and machine learning. His Ph.D. research emphasized aerosol jet printing and ultrafast flash sintering to create high-performance, low-cost thermoelectric devices. He has published extensively in journals like Advanced Materials and Nano Energy , with a focus on flexible electronics, energy harvesting, and sensor integration. His recent publications highlight innovations in machine learning-aided materials discovery, plasma sintering processes, and hybrid printing methods. These contributions address challenges in scalable manufacturing, energy efficiency, and wearable technology applications. Dr. Saeidi-Javash’s work bridges gaps between fundamental materials research and practical engineering solutions for sustainable energy systems and smart devices. Awards: Prince Engineering Fellowship (University of Notre Dame) Dehner Graduate Fellowship in Engineering (University of Notre Dame) Advising & Office Hours: Office: ECS-647 Office Hours: Wednesday 12:00-2:00 PM Advising Hours: Thursday 12:30-1:30 PM His research lab focuses on additive manufacturing of functional materials, with ongoing projects in thermoelectric energy conversion, wearable sensors, and biomaterials for cardiac tissue engineering.

Yasir Nooriمشاهده پروفایل

مدرس

• 2D Materials
• Electrochemical Deposition
• Quantum Information
• +۲ مورد دیگر

Dr. Yasir Noori is a Lecturer in the School of Electronics and Computer Science at the University of Southampton. His research focuses on 2D materials, electrochemical deposition, quantum information, and integrated photonics. He leads a team of PhD researchers and has contributed to a £1.5m EPSRC project as a Co-Investigator. Education: PhD in Integrated Photonics and Quantum Communications (2017, Lancaster University), BEng (Hons) in Electronic Engineering and Physics (2013, University of Dundee). Awards include the Dean’s Award for early career researchers and IOP Philip-Buckle Science Communication Award. Research Interests: Specializes in 2D material heterostructures, semiconductor fabrication, and quantum technologies. Active in EPSRC Peer Review College and serves as Academic Conduct Officer for his school. Publications: Over 15 peer-reviewed articles in high-impact journals like Nature Reviews Chemistry and ACS Applied Materials. Focused on electrodeposition techniques, nanofabrication, and optoelectronic device development. Awards: Multiple conference awards, including Best Poster recognitions at 2D TMDC and Optical Waveguide Theory conferences. Also holds the Three-Minutes Thesis Award from Lancaster University. Teaching: Instructs courses like Semiconductor Devices, Materials and Sensors (ELEC2230) and supervises MSc/BEng projects. Committed to fostering student research through collaborative projects. Labs & Teams: Directs a group including Shaokai Song, Hongwei Zhang, and Ismaeil Alnaab. Current opportunities available for PhD candidates interested in 2D materials and nanofabrication.

Ken Oakesمشاهده پروفایل

دانشیار

• Environmental Remediation
• Aquatic Toxicology
• Nanotechnology
• +۴ مورد دیگر

Ken Oakes is an Associate Professor in the Biology Department at Cape Breton University (CBU) and holds the Industrial Research Chair in Environmental Remediation. He specializes in environmental toxicology, nanotechnology, and aquatic ecosystems. With a Ph.D. from the University of Guelph and postdoctoral training at the University of Waterloo, his research focuses on reactive oxygen species, water treatment, and pollution mitigation. He has over 60 peer-reviewed publications and supervised numerous graduate/undergraduate theses. Key research areas include photocatalytic water treatment using TiO₂ composites, surface-enhanced Raman spectroscopy (SERS) for contaminant detection, and transdermal drug delivery via polymeric microneedles. His work addresses industrial effluent impacts on marine ecosystems and sustainable antifouling technologies. Recent studies investigate nanomaterials for environmental remediation and biomedical applications. Dr. Oakes has contributed to projects assessing pulp mill effluent effects on coastal ecosystems, copper-based Fenton chemistry for biofilm removal, and uranium extraction from water. His lab develops innovative solutions for environmental challenges, combining engineering, chemistry, and biology disciplines. Funding sources include industrial partnerships and academic grants focused on clean technologies.

Diogo Carbonera Luvizonمشاهده پروفایل

پژوهشگر

• Computer Vision
• Computer Graphics
• Deep Learning
• +۴ مورد دیگر

Diogo Carbonera Luvizon is a Researcher at the Max-Planck-Institut für Informatik (MPI-INF) in Saarbrücken, Germany, and a member of the Visual Computing and Artificial Intelligence (VIA) Research Center. He holds a PhD in Computer Vision and Machine Learning from CY Cergy Paris University (2019), and Bachelor's and Master's degrees in Engineering and Applied Computing from UTFPR, Brazil. His research focuses on solving complex problems in Computer Vision, Computer Graphics, and Deep Learning, particularly in human modeling and real-time systems. Education: PhD (2019) - CY Cergy Paris University; M.Sc. (2015) - UTFPR; B.Sc. (2011) - UTFPR. Research interests include 3D human pose estimation, action recognition, multitask learning, and novel view synthesis. He has contributed to patents on multiplane image generation (Samsung) and vehicle speed measurement systems. His work has been recognized with awards like the Best Paper Honorable Mention at GCPR-VMV 2022 and Best Presentation Award at ETIS Lab (2018). He has developed open-source tools, including the deephar repository for human action recognition and pose estimation. His current affiliations include MPI-INF and the VIA Research Center, a partnership between MPI-INF and Google.

Georg Martiusمشاهده پروفایل

استاد

• Autonomous Learning
• Reinforcement Learning
• Deep Learning
• +۷ مورد دیگر

Georg Martius is a Senior Research Scientist at the Max Planck Institute for Intelligent Systems in Tübingen and a full Professor at the University of Tübingen since 2023. His work focuses on autonomous learning in embodied agents, drawing inspiration from child development to create self-motivated robotic systems. Research Areas: Model-based reinforcement learning, intrinsic motivation, deep learning, haptic sensor development, and integration of combinatorial algorithms into neural networks. Affiliations: Former postdoc at IST Austria (Christoph Lampert and Gašper Tkačik groups) and Max Planck Institute for Mathematics in the Sciences (Leipzig). Contact: georg.martius@tuebingen.mpg.de Education: PhD in 2009 (Göttingen), Computer Science studies in Leipzig and Edinburgh.

Nilanjan Banerjeeمشاهده پروفایل

استاد

• Mobile Computing
• Pervasive Computing
• Sensor Systems
• +۶ مورد دیگر

Dr. Nilanjan Banerjee is a Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County (UMBC). He leads the Mobile, Pervasive, and Sensor System Lab, focusing on embedded and distributed systems for mobile, pervasive, and sustainability-based computing. His research spans renewable energy-driven systems, health diagnostics, mobile usability, and experimental testbed design. He holds a Ph.D. in Computer Science from the University of Massachusetts (2009), an M.S. from the same institution (2007), and a B.Tech. (Hons) from the Indian Institute of Technology (2004). Dr. Banerjee's work emphasizes interdisciplinary innovation, including low-power wearable devices for health monitoring (e.g., RestEaZe), cybersecurity frameworks for embedded systems (e.g., CARE), and sensor-based solutions for environmental sustainability. His contributions address challenges in mobility, energy efficiency, and accessibility, such as the Presight sidewalk localization system for visually impaired riders and the Inviz gesture-recognition textile sensors. His recent publications (2018–2021) reflect a focus on health technology, cybersecurity, and sustainable systems. Notable trends include: Integration of machine learning with sensor data for medical applications (e.g., sleep analysis, infection detection) Development of lightweight security protocols for embedded devices Exploration of renewable energy solutions for mobile and sensor networks No scientific awards are explicitly listed in the provided text. His academic advising and grant activities are not detailed here, but his lab's active research suggests significant collaborative projects. The lab also pioneers educational strategies in mobile app development and inclusive faculty recruitment through peer education programs like STRIDE.

Sara Nabilمشاهده پروفایل

استادیار

• Human-Computer Interaction (HCI)
• E-Textiles
• Smart Materials
• +۳ مورد دیگر

Sara Nabil is an Assistant Professor at Queen's University's School of Computing within the Faculty of Arts and Science. She leads the HCI Design Studio and previously held a postdoctoral position at Carleton University's Creative Interactions Lab. Her research focuses on integrating interior design, fashion, and product design with interactive technologies, emphasizing e-textiles, smart materials, and shape-changing interfaces. She holds a PhD from Newcastle University and prior experience as an HCI Lecturer, interior designer, and senior software developer. Education: PhD in Computing, Newcastle University (2019) MSc in Computing BSc in Computing Research interests include designing computational spaces, wearable technology, and e-textile interactions. Her work explores sustainable fabrication methods, user-centered design for smart environments, and bridging traditional crafts with digital technologies. Notable projects include exhibitions like 'Living with Adaptive Architecture' and 'Persuasive Pharmacy Space,' showcasing interactive wearables and spaces. Her recent articles (2023–2025) emphasize e-textile innovations, sustainable design, and human-building interactions. Key themes include smart materials in fashion, modular wearables, and community-driven interaction systems. Awards: None explicitly mentioned. Advising/Grants: No details provided. Labs/Teams: Head of HCI Design Studio and part of iStudio Lab, focusing on interioraction design.