جست‌وجوی استاد و پژوهشگر

Robert McLeodمشاهده پروفایل

استاد

• Photonics
• Holographic Materials
• Additive Manufacturing
• +۴ مورد دیگر

Robert McLeod is the Richard & Joy Dorf Endowed Professor in the Department of Photonics & Quantum Engineering at the University of Colorado. His research focuses on advanced materials and technologies for photonics, holography, and additive manufacturing. Key areas include the design of holographic photopolymers, volumetric 3D printing, and high-performance optical materials. He has pioneered innovations in thiol-ene chemistry for dynamic polymer networks and developed methodologies for precision manufacturing techniques like parallax manufacturing and latent image volumetric additive manufacturing. His work bridges materials science, optics, and engineering, with applications in biomedical devices, environmental sensors, and next-generation optical systems. Education details are not explicitly provided in the text. Current research emphasizes optimizing material properties for 3D printing, enhancing holographic storage, and creating bio-inspired materials for medical applications. McLeod’s contributions span over 50 peer-reviewed articles since 2018, with a strong focus on interdisciplinary approaches to manufacturing and photonics. His lab develops cutting-edge solutions for challenges in refractive index control, occlusion management in additive manufacturing, and high-precision optical component fabrication. Notable advancements include the suppression of parasitic reflections using elastomeric films, the integration of self-healing electronics for plant monitoring, and the synthesis of biodegradable resins for 3D-printed biomaterials. McLeod collaborates on projects such as photosensitive materials development and the creation of gradient-index lenses via digital light processing. His work is supported by strategic initiatives aligning with the University of Colorado’s focus on quantum engineering and advanced manufacturing technologies.

Khald Aboalayonمشاهده پروفایل

مدرس پاره‌وقت

• Data Science & Analytics
• Signal Processing
• Machine Learning in Healthcare
• +۶ مورد دیگر

Khald Aboalayon is a Part-Time Lecturer and Academic Program Director for the MS Data Analytics Program at Clark University's School for Professional Studies (SPS). He holds a Ph.D. in Computer Science & Engineering (2016) from the University of Bridgeport, where he also completed his post-doctoral research in Biomedical Engineering with the D-BEST laboratory. His academic journey includes a B.Sc. in Computer Science from Sebha University (Libya) and an M.Sc. in Intelligent Systems from the University of Utara Malaysia (2005). Dr. Aboalayon's research focuses on applying Machine Learning and statistical methods to healthcare challenges, particularly in Signal Processing for bio-physiological signals like EEG. His work addresses sleep disorders, epilepsy detection, and fatigue monitoring. He emphasizes solving real-world health issues through interdisciplinary approaches. His publications span 2005–2022, with notable contributions to EEG-based sleep stage classification, ECG signal denoising, and FPGA implementations. Collaborations include the D-BEST lab’s biomedical embedded systems projects. Despite no explicitly mentioned awards or grants, his work reflects sustained engagement in healthcare technology solutions.

Paul R. Chiarotمشاهده پروفایل

استاد

• Microfluidics
• Multiphase Flows
• Electrohydrodynamics
• +۶ مورد دیگر

Paul R. Chiarot is a Professor and Chair of the Department of Mechanical Engineering at Binghamton University, State University of New York (SUNY). He holds a BASc, MASc, and PhD in Mechanical Engineering from the University of Toronto. His research focuses on microfluidics, multiphase flows, and electrospray deposition, with applications in advanced manufacturing, biotechnology, and biomedical engineering. Research Interests: Chiarot leads the Microfluidics and Multiphase Flow Laboratory, exploring electrospray printing for electronics packaging, synthetic vesicle fabrication for membrane biology studies, and fluid mechanics of the brain. His work addresses challenges in energy, healthcare, and nanotechnology. Key areas include: Electrospray-based additive manufacturing Microfluidic platform development for asymmetric vesicles Interstitial fluid transport in brain tissues Thermal management solutions for electronics Awards and Grants: He has received the NSF CAREER Award (2016) and the SUNY Chancellor's Award for Excellence in Scholarship (2022). His research is supported by the NSF, NIH, ACS, SRC, and industry collaborators. Lab and Collaborations: The lab's interdisciplinary approach integrates fluid dynamics, materials science, and biotechnology. Recent projects include developing high-throughput vesicle production and modeling cerebral fluid dynamics. Chiarot also contributes to thermal optimization of microchannel heat sinks for data centers and high-performance computing.

Gizem Ates Venåsمشاهده پروفایل

دانشیار

• Human-Robot Interaction (HRI)
• Inertial Measurement Units (IMUs)
• Gamified User Training
• +۴ مورد دیگر

Gizem Ates Venås is an Associate Professor in the Department of Computer Science, Electrical Engineering and Mathematical Sciences at Western Norway University of Applied Sciences. She leads research in Human-Robot Interaction (HRI), focusing on intuitive human-robot cooperation through inertial measurement units (IMUs), gamified training systems, and teleoperation. Her work emphasizes safety and natural interaction in collaborative robotics applications. Education: Bachelor's in Electronics and Communication Engineering (2010-2015), Izmir Institute of Technology Master's in Mechanical Engineering (2015-2018), Izmir Institute of Technology PhD in Computer Science (Software Engineering, Sensor Networks) (2018-2023), Western Norway University of Applied Sciences Research interests include: IMU-based motion estimation for cooperative manipulation Design of gamified training systems to improve HRI proficiency Medical robotics applications in teleoperated surgical systems Sensor fusion and real-time data processing for collaborative robots Teaching focuses on robotics fundamentals: ROS programming, embedded systems (Arduino), and robot control Courses: ELE306 Robotics, DAT160 Intelligent Robots, ADA526 Applied Robot Prototyping Labs/Teams: Core member of HVL Robotics Lab, developing open-source robotics education materials and simulation tools.

• Industrial Engineering
• Manufacturing Systems
• Quality Management
• +۵ مورد دیگر

Dr. Benjamin Durakovic is an Associate Professor at the Faculty of Engineering and Natural Sciences, International University of Sarajevo since 2016. He holds a PhD in Industrial Engineering (2016), MSc in Industrial Engineering and Management (2008), and a Dipl. Eng. in Energy Engineering from the University of Sarajevo (2003). Education: PhD in Industrial Engineering, International University of Sarajevo (2016) MSc in Industrial Engineering and Management, University of Sarajevo (2008) Dipl. Eng. in Energy Engineering, University of Sarajevo (2003) Research Interests: His work focuses on lean manufacturing integration with Industry 4.0, phase change materials (PCMs) in construction and energy systems, thermal energy storage, quality management, and optimization of manufacturing processes. He explores applications of PCMs in building envelopes, electronics cooling, and sustainable composites, while also investigating the impact of industrial IoT on quality control and workforce productivity. Recent Articles: Recent publications highlight advancements in PCM applications, lean 4.0 manufacturing, measurement system capability, and error analysis in shift-based production. His research bridges theoretical frameworks with practical case studies in metal coating, textile, and rebar manufacturing. Advising & Grants: No formal advisees listed, but his research emphasizes industry collaboration and applied solutions. His work contributes to innovation ecosystems through initiatives like the Science-Technology Park Ilidža. Labs & Teams: Engaged in interdisciplinary projects at the International University of Sarajevo, focusing on smart technologies, sustainable materials, and advanced manufacturing systems.

Erik Thostensonمشاهده پروفایل

استاد

• Composites & Advanced Materials
• Nanotechnology
• Aerospace Engineering
• +۴ مورد دیگر

Erik Thostenson is a Professor in the Department of Mechanical Engineering at the University of Delaware, with an affiliated appointment in the Department of Materials Science and Engineering. He holds degrees from the University of Delaware (PhD/MS in Materials Science and Mechanical Engineering) and Winona State University (BS in Composite Materials Engineering, Summa Cum Laude). His research focuses on advanced composite materials, nanotechnology, and multifunctional sensor integration into composites. Dr. Thostenson's expertise spans composites processing, nanomaterials characterization (particularly carbon nanotubes), and structural health monitoring. His work emphasizes developing novel fabrication techniques like electrophoretic deposition for hierarchical composites, with applications in aerospace, civil infrastructure, and biomedical wearable sensors. Notable awards include the NSF CAREER Award, Air Force YIP Award, Elsevier Young Composites Researcher Award, and Hayashi International Memorial Award. He has pioneered methods for in situ sensing in composites using nanomaterials, enabling real-time damage detection and smart material systems. His research portfolio includes over 100 publications on topics like carbon nanotube-based sensors, additive manufacturing of composite tooling, and VR-integrated rehabilitation systems. He has also contributed to industry-relevant solutions such as scalable roll-to-roll composite manufacturing and structural repair methodologies.

Wen-Ben Joneمشاهده پروفایل

دانشیار

• VLSI system design
• low-power VLSI systems
• many-core micro-processor design
• +۳ مورد دیگر

Wen-Ben Jone is an Associate Professor at the University of Cincinnati 's Department of Electrical Engineering & Computing Systems. He previously held positions as Assistant/Associate Professor at New Mexico Institute of Mining and Technology and Visiting Associate/Full Professor at National Chung-Cheng University, Taiwan. His research focuses on VLSI system design, low-power circuits, and fault-tolerant testing methodologies. He has advised over 70 graduate students and authored/co-authored numerous papers in top-tier journals and conferences. Education : PhD: Case Western Reserve University (Computer Engineering, 1987) MS: National Chao-Tung University (Computer Engineering, 1981) BS: National Chao-Tung University (Computer Science, 1979) Research Interests : Reliable VLSI design and testing Low-power and fault-tolerant circuits Many-core processor architectures Parallel computing and debugging tools Awards : 2003 IEEE Donald G. Fink Prize Paper Award 2008 Best Paper Award (International Symposium on Low-Power Electronics) 2012 Best Paper Award (VLSI Design, Automation & Test) Grants : $390k NSF Grant (CCF-0541103) for cache optimization techniques His work emphasizes practical solutions in VLSI testing and reliability, with a focus on low-power strategies and resilient system design.

Canek Fuentes Hernandezمشاهده پروفایل

دانشیار

• Organic Electronics
• Flexible Sensors
• Printed Electronics
• +۲ مورد دیگر

Canek Fuentes-Hernandez is Associate Professor of Electrical and Computer Engineering at Northeastern University, leading the electronic Surfaces and Organic Interfaces Laboratory (eSOIL). His research pioneers flexible optoelectronics using earth-abundant materials. Research develops skin-like photodetectors, self-powered sensing surfaces, and recyclable solar cells. Innovations include elastomeric organic photodiodes with mechanical compliance matching human skin and computational photodetectors for activity recognition. Publications demonstrate breakthroughs in low-noise detection, with Science papers on large-area photodiodes capable of detecting faint light. Recent work explores depth-sensing surfaces and contact engineering for next-generation organic photovoltaics. Teaching includes courses on organic electronics and capstone design. Recognized through PEAK Experiences Awards for undergraduate researchers mentored in his laboratory.

Jeremy Gummesonمشاهده پروفایل

استادیار مدعو

• Wearable Technology
• Energy Harvesting
• Wireless Communication Systems
• +۷ مورد دیگر

Jeremy Gummeson is an Adjunct Assistant Professor at the University of Massachusetts Amherst, affiliated with the College of Information and Computer Science. He currently works in the Sensors Lab under Deepak Ganesan and the Laboratory for Advanced Systems Software under Prashant Shenoy. His research focuses on energy harvesting for wearables, backscatter communication systems, and distributed wireless sensing technologies. Education: Ph.D. in Computer Systems Engineering from the University of Massachusetts Amherst (2013). Research Interests: Jeremy’s work spans energy-efficient wearable devices, privacy in sensor systems, metamaterial-based mmWave networks, and low-power environmental monitoring. His innovations include intra-body power transfer for health wearables and acoustic-based sensing for vision-impaired environments. Recent projects emphasize sustainable computing and secure authentication mechanisms within smart spaces. Article Trends: His recent publications (2024-2025) highlight advancements in privacy-preserving audio systems, metamaterial networks, and intra-body communication. These reflect a focus on integrating biomedical applications with cutting-edge wireless technologies to enhance both functionality and security. Leading the Way award (Hewlett Packard, 2015) IEEE Outstanding Senior (2006) Betterment of the ECE Department award (2006) Outstanding Teaching Assistant (2006) Advising & Grants: Jeremy has no listed advisees. He has served as a reviewer for ACM MobiSys, ACM UbiComp, ACM CHI, IEEE RFID, and multiple transactions journals. As Web Chair for ACM HotMobile (2016), he contributed to conference organization. His current lab affiliations drive collaborative research in sensor systems and network software. Labs/Teams: Active member of the Sensors Lab and the Laboratory for Advanced Systems Software, working on projects involving energy autonomy, wireless communication, and health monitoring through wearable technologies.

• Computational Materials Science
• Molecular Dynamics
• Machine Learning
• +۲ مورد دیگر

Dr. Priya Vashishta is a Professor with joint appointments in Computer Science, Materials Science, and Physics at the University of Southern California. His research integrates computational methods across multiple scales to address fundamental challenges in materials science and nanotechnology. Research focuses on multiscale simulation frameworks combining quantum molecular dynamics, machine learning interatomic potentials, and high-performance computing. Key areas include: energy storage materials, 2D materials characterization, catalytic processes, and AI-driven materials discovery. Publication trends reveal consistent development of computational methodologies: machine learning potentials for materials simulation, neural network quantum dynamics, GPU-accelerated computing, and multiscale modeling techniques. Recent work emphasizes practical applications in energy storage, nanoscale electronics, and advanced manufacturing. Research group activities include development of open-source simulation packages (PND, Allegro) and leadership in the MAGICS computational materials center. Contributions span fundamental theoretical frameworks to applied materials engineering.

• High-Speed Electronics
• MMIC Design
• Millimeter-Wave Communication
• +۹ مورد دیگر

Professor Herbert Zirath is affiliated with the Department of Microtechnology and Nanoscience (MC2) at Chalmers University, Sweden , where he has held the Chair in High Speed Electronics since 1996. His research focuses on MMIC design for millimeterwave/sub-THz applications using III-V and silicon technologies, with current involvement in EU projects like 6GTandem , CoreNext , and TeraGreen targeting SiGe BiCMOS-based RFIC solutions for high data rate communication. Author/co-author of 530+ refereed papers Holder of 5 patents in high-frequency electronics Expert in semiconductor technologies: InP DHBT, GaN HEMT, SiGe BiCMOS Recent work includes polymer microwave fiber communication systems (e.g., 48 Gbps D-band links), sub-THz packaging solutions (EBG structures, glide-symmetric waveguides), and graphene FET applications in microwave detection. His team develops energy-efficient transceivers and low-loss chip-to-waveguide transitions for next-generation wireless infrastructure.

Fatemeh Babaeianمشاهده پروفایل

پژوهشگر ارشد

• Applied Electromagnetics
• High Power Microwave
• RF Sensing
• +۳ مورد دیگر

Fatemeh Babaeian is a Research Fellow in the Department of Electrical and Computer Systems Engineering at Monash University. She holds a PhD from Monash University (2016–2020), focusing on advanced electromagnetic systems. Her expertise spans applied electromagnetics, high-power microwave systems, RF sensing, antenna design, and signal processing, with notable contributions to chipless RFID technologies and cascaded oscillator modeling. Research interests include high-power RF systems, antenna-oscillator interaction modeling, and innovative RFID applications for sensor networks and secure communications. Her work addresses challenges in microwave engineering, terahertz systems, and inverse scattering problems, leveraging hybrid optimization algorithms and metamaterial principles. Fatemeh has published over 29 peer-reviewed articles, including seminal works on switched oscillator performance evaluation and phase shifter designs. She received the Postgraduate Publications Award (2020) for her impactful contributions. Current research emphasizes antenna-circuit co-design methodologies and high-data-capacity RFID systems for emerging IoT and industrial applications. Collaborations span global institutions, with active projects in high-power microwave systems, THz antenna arrays, and orientation-insensitive RFID tag innovations. She actively supervises PhD students and contributes to interdisciplinary research bridging electromagnetic theory and practical engineering solutions.

Christopher Bidinostiمشاهده پروفایل

استاد

• Nuclear Magnetic Resonance
• Medical Imaging
• Machine Learning
• +۳ مورد دیگر

Dr. Christopher Bidinosti is a Professor in the Department of Physics at the University of Winnipeg. He holds a Ph.D. from the University of British Columbia (2000) and specializes in nuclear magnetic resonance (NMR), magnetic resonance imaging (MRI), and machine learning applications in agriculture. His research spans low-field NMR/MRI, hyperpolarized nuclei, and collaborations like the TerraByte project, aimed at advancing agricultural machine learning through open-access plant image datasets. His research interests include TRASE MRI, neutron electric dipole moment (EDM) searches, GPU computing, and magnetics (coil design, shielding). He teaches courses such as Electricity & Magnetism and Optics and Waves. His work bridges physics and applied technology, with a focus on interdisciplinary innovation. Bidinosti collaborates with institutions like UWinnipeg’s Computer Science department and has developed hardware solutions for NMR/MRI systems. His contributions span experimental physics, computational methods, and agricultural technology, leveraging both theoretical and applied approaches.

Yunzhong Houمشاهده پروفایل

پژوهشگر ارشد

• Computer Vision
• Deep Learning
• Multiview Detection
• +۴ مورد دیگر

Dr. Yunzhong Hou is a Research Fellow at the School of Computing, The Australian National University (ANU), where he collaborates with Prof. Tom Gedeon and Dr. Liang Zheng. He holds a PhD in Computer Science from ANU (2019–2023) and a Bachelor's in Electronic Engineering from Tsinghua University (2014–2018). His research focuses on computer vision and deep learning, particularly in multiview detection, sensor optimization, and efficient AI systems. Education: PhD in Computer Science, ANU (2019–2023) Bachelor of Electronic Engineering, Tsinghua University (2014–2018) Research Interests: Multi-view detection and tracking Active vision and sensor optimization Efficient AI systems His work spans topics such as camera configuration optimization for pedestrian detection, deep learning for color quantization, and multi-camera systems. He has contributed to projects like the socioeconomic impact analysis of water reforms and privacy-preserving perception for robotics. Hou serves as a reviewer for top conferences (CVPR, ICCV) and journals (TPAMI, TIP). His research emphasizes scalable solutions for real-world applications, including drone vision control and edge computing optimizations. Current projects include machine learning for socio-economic analysis and privacy-aware robotic perception.

Brandon Tateمشاهده پروفایل

استادیار مهمان

• Catalysis
• Renewable Energy
• Sustainable Chemistry
• +۴ مورد دیگر

Brandon Tate is a Visiting Assistant Professor of Chemistry and Environmental Studies at Bowdoin College, located in Brunswick, Maine. He holds a PhD from the Georgia Institute of Technology and dual undergraduate degrees (BS and BA) from Auburn University. His research focuses on developing catalysts for renewable fuels and sustainable alternatives to petrochemicals, with a particular emphasis on metal ions such as nickel, copper, ruthenium, and silver. The Tate Lab employs spectroscopic methods to study reaction mechanisms involved in fuel synthesis, aiming to enhance catalyst efficiency and renewable energy storage solutions. Professor Tate teaches courses including CHEM 3055/ENVS 3904 - Catalysis in Sustainable Chemical Processes and CHEM 1105/ENVS 2201 - Perspectives in Environmental Science . Students interested in research opportunities can engage through independent studies, honors projects, or summer fellowships. His work bridges chemistry and environmental studies, addressing critical challenges in sustainable energy and materials. Key research themes include organosilver complexes, hydrogen activation, and transition metal reactivity. Publications span topics from bimetallic clusters to CO₂ activation studies, reflecting his interdisciplinary approach. While no specific awards are listed, his contributions to catalysis and sustainability are highlighted through active research output and academic engagement.