جست‌وجوی استاد و پژوهشگر

Kyusang Leeمشاهده پروفایل

دانشیار

• Optoelectronics
• Thin-Film and Flexible Devices
• Neuromorphic Computing
• +۵ مورد دیگر

Kyusang Lee is an Associate Professor in the Electrical and Computer Engineering and Materials Science and Engineering departments at the University of Virginia. His research focuses on optoelectronic devices, neuromorphic computing, and smart sensors, emphasizing applications in solar energy conversion and flexible electronics. He holds a B.S. from Korea University (2005), M.S. from Johns Hopkins University (2009), and Ph.D. from the University of Michigan (2014). He conducted postdoctoral research at the University of Michigan and MIT. Education: B.S., Electrical Engineering, Korea University, 2005 M.S., Electrical and Computer Engineering, Johns Hopkins University, 2009 Ph.D., Electrical Engineering and Computer Science, University of Michigan, 2014 Postdoctoral Fellowships: University of Michigan (EECS), MIT (Mechanical Engineering) His research interests span thin-film and flexible optoelectronics, neuromorphic computing architectures, and AIoT-enabled smart sensors. Notable contributions include remote epitaxy techniques for semiconductor membrane integration and solar-tracking concentrator designs. His work bridges materials science and device engineering to advance energy-efficient optoelectronics and bioinspired systems. Key Research Themes: Organic/inorganic optoelectronic devices for solar energy Flexible and stretchable electronics Neuromorphic hardware for edge computing Gas sensing and bioinspired sensor systems Lee’s publications reflect interdisciplinary innovation, with recent work on ferroelectric transistors, neuromorphic vision systems, and high-efficiency photovoltaics. He received the NSF CAREER Award (2020) and AFOSR YIP Award (2023).

Miiamaaria Kujalaمشاهده پروفایل

پژوهشگر ارشد

• social cognition
• emotionality
• comparative cognitive neuroscience
• +۱۰ مورد دیگر

Miiamaaria Kujala is an Academy Research Fellow at the Department of Psychology, University of Jyväskylä. Her research focuses on social cognition and emotionality in humans and non-human animals, particularly domestic dogs, through interdisciplinary collaboration across psychology, cognitive science, biology, veterinary medicine, and biomedical engineering. Academy Research Fellow (2024) Docent in Comparative Cognitive Neuroscience Her work employs non-invasive physiological methods such as eye gaze tracking, EEG/ERPs, thermal imaging, and fMRI to study emotional expressions, cross-species interaction, and the neural basis of social perception. Key themes include the development of expertise in decoding nonverbal cues, human-animal bond dynamics, and One Health/One Welfare frameworks. Recent publications highlight interdisciplinary approaches to canine emotionality, pharmacological behavior management in pets, and advanced sensor technologies for behavior classification. Her 2024 articles explore olfaction, empathy, and activity tracking in dogs, while older works examine contagious behaviors, social brain circuits, and developmental psychology in human-animal interactions. Scientific awards include the Academy Research Fellow fellowship. She leads the "Interaction of Dogs and Humans" research group, integrating expertise from psychology, veterinary medicine, and engineering to advance understanding of emotional and cognitive processes across species.

Xiao Biمشاهده پروفایل

مربی

• Atmospheric Chemistry
• Environmental Sensor Development
• Air Quality Monitoring
• +۲ مورد دیگر

Xiao Bi, M.Sc. , is a Tutor and researcher at the Professorship for Environmental Sensors and Modeling at the Technical University of Munich (TUM) . He is based in room N1506B and contributes to atmospheric pollution research through instrument development, data analysis, and teaching in environmental sensing. Research Focus : Development of NO 2 and air pollutant sensors using CAPS technology, analysis of ground-based and satellite data during the COVID-19 pandemic, and implementation of in-situ and mobile measurement systems in Munich. Teaching Role : Tutor for Lab Courses on Innovative Atmospheric Sensing Devices, Advanced Seminars in Environmental Sensing, and Joint Practical Courses on Electromagnetic Sensors and Measurement Systems. His publications (2018–2022) highlight trends in atmospheric pollution monitoring , sensor technology for greenhouse gases, and machine learning applications in artificial olfaction. Notable collaborations include work with Prof. Jia Chen and Frank Keutsch . Xiao Bi has been recognized with the Hans Fischer Fellowship , underscoring his contributions to urban environmental research and sensor innovation.

Tim Pearceمشاهده پروفایل

استاد

• Machine Olfaction
• Neuromorphic Engineering
• Neuroscience
• +۴ مورد دیگر

Tim Pearce is a Reader in Bioengineering at the School of Engineering, University of Leicester. He holds a PhD from Warwick University and has served as a Research Assistant Professor at Tufts University Medical School. His work focuses on machine olfaction, neuromorphic engineering, and interdisciplinary applications of chemical sensing technologies. Key contributions include the development of electronic noses, biomimetic infochemical communication systems, and neuromorphic implementations inspired by insect olfactory pathways. Research Interests: Machine olfaction and sensor arrays Neuromorphic engineering and bio-inspired computation Integration of neuroscience principles into engineering systems Applications in environmental monitoring, healthcare, and security Publications highlight advancements in odor classification, spatio-temporal signal processing, and AI-driven world modeling. Notable collaborations include EU projects like Neuro-IT and AMOTH, which translated biological olfactory principles into real-world technologies. He has authored over 100 articles, including the seminal Handbook of Machine Olfaction . Awards include Fellowships from the Institute of Physics and the Higher Education Academy. Editorial roles span Frontiers in Neuromorphic Engineering and Connection Science . He actively contributes to global initiatives in neuroengineering and computational neuroscience.

Seokhyun Chungمشاهده پروفایل

استادیار

• Internet of Things (IoT)
• Data-Driven Analytics
• Federated Learning
• +۴ مورد دیگر

Seokhyun Chung is an Assistant Professor at the University of Virginia, located in Lab 257 of Olsson Hall. His research focuses on IoT-enabled systems, leveraging data-driven methods such as federated learning, multi-task learning, and Bayesian probabilistic modeling to address challenges in statistical heterogeneity, scalability, and personalization in connected systems. Applications span smart healthcare and manufacturing systems, emphasizing reliability and efficiency. Research Interests: Chung's work integrates IoT, machine learning, and systems engineering to develop collaborative analytics frameworks. He explores federated learning architectures for distributed data fusion, probabilistic modeling for uncertainty-aware predictions, and optimization techniques for resource allocation in edge computing environments. His healthcare focus includes gait analysis and load estimation for wearable devices, while manufacturing applications involve job scheduling and additive manufacturing quality control. Key Contributions: Recent work highlights include federated multi-output Gaussian processes for heterogeneous systems, real-time adaptation of time-series predictions, and fairness-aware machine learning for load carriage tasks. His interdisciplinary projects address both technical and operational challenges, such as emergency department layout optimization and toxic gas monitoring networks. Labs & Infrastructure: Chung's research is conducted in Olsson Hall's advanced labs, leveraging IoT sensor networks, edge computing setups, and collaborative simulation environments to prototype innovative smart systems solutions.

Alan Hollowayمشاهده پروفایل

استاد

• Embedded/microprocessor Systems
• Robotics/Control Systems
• Sensors for machine olfaction (electronic-nose)
• +۳ مورد دیگر

Dr Alan Holloway is Deputy Head of the School of Engineering & Built Environment at Sheffield Hallam University, overseeing teaching, student experience, and academic outcomes. He holds a PhD (2005) and BEng (2001) from SHU, with professional affiliations as MIET and FHEA. His research focuses on electronic sensors, robotics, and machine olfaction systems, with involvement in EU/EPSRC projects like REINS and Guardians. He actively supervises PhD students and collaborates on industrial projects through Knowledge Transfer Partnerships. Education: PhD: Advanced Quartz Crystal Microbalance Techniques Applied to Calixarene Sensing Membranes (SHU 2005) BEng (Hons): Electronic Systems & Information Engineering (SHU 2001) Research Interests: Development of embedded systems, robotics control, electronic-nose sensors, and sensor coatings. Current projects include Industry 4.0 IoT automation and sensor lab innovations for education. His work bridges academia-industry through device prototyping for healthcare and environmental monitoring. Awards: Fellow Higher Education Academy (FHEA) Teaching & Leadership: Teaches microprocessor systems modules and leads pedagogical reforms like Project-Based Learning assessment models. Presented at conferences on engineering education and remote laboratory solutions. Serves as External Examiner in Electrical/Electronic/Mechatronic Engineering.

Alin-Sasa Tisanمشاهده پروفایل

مدرس ارشد

• Neuromorphic Systems
• Pervasive Healthcare
• Pattern Recognition
• +۹ مورد دیگر

Alin-Sasa Tisan is a Senior Lecturer in the Department of Electronic Engineering at Royal Holloway, University of London. His research focuses on neuromorphic systems, pervasive healthcare, and sensor-based applications. He holds a PhD in Electronic Engineering from Technical University of Cluj Napoca (2008) and has certifications in teaching and learning from Anglia Ruskin University (2012). Key research areas include neuromorphic designs for smell recognition, body hydration monitoring, low-cost air quality systems, and FPGA-accelerated signal processing. His work contributes to UN Sustainable Development Goals related to affordable and clean energy, industry innovation, and climate action. Recent projects include developing air quality monitoring systems for Tanzania, creative sensing methods for indoor environments, and cross-disciplinary approaches to industrial electronics challenges. He serves as an External Examiner at the University of Huddersfield and has supervised multiple collaborative projects involving international teams.

• Field robotics
• Robot olfaction
• Multi-robot systems
• +۶ مورد دیگر

Lino Marques is an Associate Professor at the Department of Electrical and Computer Engineering , University of Coimbra, with a Senior Researcher position at the Institute for Systems and Robotics (ISR-UC) . He leads the Field Robotics group and has supervised 8 PhD students and over 60 MSc students. 1994–Present: Faculty at University of Coimbra 2005: PhD in Electrical and Computer Engineering 2023: Habilitation in Robotics His research focuses on mobile robot olfaction , multi-robot systems , sensor data fusion , and hazardous environment robotics . Recent projects emphasize UV-C disinfection robots , precision agriculture , and energy-efficient path planning . Key applications include pollutant monitoring , maritime surveillance , and mine detection . He has participated in major projects like FP7-TIRAMISU (mine removal) and FP6-GUARDIANS (scent-based navigation). His editorial roles include Editor-in-Chief for Mobile Robots and Multi-Robot Systems in the International Journal of Advanced Robotic Systems. With an h-index of 33 , he has published 16 book chapters, over 40 journal articles, and 150+ conference papers. His work spans robotic clusters , wireless sensor networks , and cyber-physical systems .

Ricardo C. Aranedaمشاهده پروفایل

استاد

• Neuromodulation
• Olfaction
• Neural Circuits
• +۵ مورد دیگر

Ricardo C. Araneda is a Professor in the Department of Biology at the University of Maryland, College Park, with affiliations to the College of Computer, Mathematical and Natural Sciences, Brain and Behavior Institute, and Robert E. Fischell Institute for Biomedical Devices. His research laboratory is located in the Bioscience Research Building. Dr. Araneda received his PhD in Neuroscience from the Albert Einstein College of Medicine in New York (1997) and completed his postdoctoral training at Columbia University, where he was also an Associate Research Scientist (1997-2006). Dr. Araneda's research focuses on understanding how neuromodulators such as noradrenaline and acetylcholine regulate neuronal activity in the brain. Using the olfactory system as a model, his lab employs electrophysiology, imaging, molecular biology techniques, and behavior studies to investigate how neuromodulators influence sensory processing and behavior. His work addresses how neuromodulators affect odor-guided behaviors and the integration of adult-born neurons into pre-existing circuits. This research has implications for understanding pathological changes in olfactory circuits that occur in aging and neurodegenerative disorders. His laboratory has made significant contributions to understanding neuromodulation in the olfactory bulb, including how noradrenergic and cholinergic systems enhance inhibitory tone, the rules of learning in neuronal networks, and the mechanisms of adult neurogenesis of inhibitory neurons. His recent publications reveal important insights into α2-adrenergic modulation of granule cells, cholinergic modulation of inhibitory domains, and long-range GABAergic inhibition in olfactory processing. Dr. Araneda has received numerous scientific awards and recognition including the NSF Graduate Research Fellowship, Chateaubriand Fellowship, and Cosmos Club Foundation Fellowship. His research is supported by major funding sources including NSF EFRI ELiS, NSF URoL:EN, and UMD MPower Seed Grants. With a commitment to excellence in mentoring, Dr. Araneda has trained over 80 undergraduate students, 6 graduate students, and 5 high school students. His laboratory is part of the Brain and Behavior Institute and collaborates with the Fischell Institute for Biomedical Devices. The lab maintains active collaborations on developing novel technologies to study neuronal function and cell-based sensors, as well as research on hypothalamic control of food consumption.

Barani Ramanمشاهده پروفایل

استاد

• Computational Neuroscience
• Systems Neuroscience
• Pattern Recognition
• +۷ مورد دیگر

Barani Raman is a Professor of Biomedical Engineering at the McKelvey School of Engineering, Washington University in St. Louis. His research integrates computational neuroscience, neuromorphic engineering, and sensor technologies to develop bio-inspired systems with applications in biomedical devices, environmental monitoring, and security. He holds a PhD from Texas A&M University and joined Washington University in 2010 after postdoctoral training at NIH and NIST. Education: PhD, Texas A&M University, 2005 MS, Texas A&M University, 2003 B.Eng., University of Madras, 2000 Research Interests: His lab explores how the brain processes sensory signals (e.g., olfactory cues) and translates these insights into technologies like electronic noses and neuromorphic devices. Recent work includes serotonin’s role in locust olfaction and nanoparticle interactions with neurons for treating neurological disorders. Grants & Collaborations: $650,000 NSF Convergence Accelerator grant (2024) for water quality monitoring and electronic nose development Collaborations with Srikanth Singamaneni on neuroengineering He leads the Raman Lab and is affiliated with the Center for Science and Engineering of Living Systems and the Imaging Science PhD Program.

Mina Hoorfarمشاهده پروفایل

استاد

• Microfluidic Technologies
• Nanotechnology
• Sensing Materials
• +۷ مورد دیگر

Mina Hoorfar is the Dean of Engineering and Computer Science and a Professor in the Mechanical Engineering Department at the University of Victoria (UVic). She holds a BASc from the University of Tehran, MASc and PhD from the University of Toronto (U of T), and is a Professional Engineer (P.Eng). Her research focuses on advancing surface science and microfluidic technologies, with specialization in nanostructured sensors for gas monitoring, hydrogen detection in natural gas, wearable health diagnostics, and micro/nano-encapsulation for pharmaceutical applications. Her research areas include: Nanostructured microfluidic artificial olfaction for real-time gas monitoring Hydrogen monitoring in hydrogen-blended natural gas Breath analysis for health and safety applications Wearable microfluidic sensing for personal health Micro/nano-encapsulation in food and pharmaceuticals Current team members: 13 researchers. Lab spaces: Two specialized labs focusing on Advanced Sensors and Advanced Drug Delivery. The MiNa Lab collaborates with industry partners to develop innovative solutions in sensing technologies and biomedical engineering. Advising and grants: While specific grants are not listed, her work reflects significant industry and academic collaboration. The lab emphasizes high-throughput microfluidic synthesis, 3D bioprinting for neural models, and sensor integration with machine learning. Labs/Teams: The MiNa Lab at UVic is a leader in microfluidic sensor development, with dual lab spaces dedicated to advancing sensor technologies and drug delivery systems through cutting-edge research and industry partnerships.

• Machine Learning
• Metabolomics
• Chemical Sensor Systems
• +۷ مورد دیگر

Santiago Marco Colás is a Full Professor in the Department of Electronics and Biomedical Engineering at the University of Barcelona and leads the Signal and Information Processing for Sensing Systems group at IBEC. His research focuses on advanced computational methods for chemical sensor arrays, gas chromatography-ion mobility spectrometry (GC-IMS), mass spectrometry, and NMR data analysis in metabolomics, biomedical diagnostics, and environmental monitoring. Developed open-source tools like GCIMS R-package for untargeted IMS data analysis Innovated drone-based chemical sensing systems for indoor/outdoor odor mapping Created IoT-enabled respiratory impedance devices with mobile app control Explored machine olfaction algorithms for biomarker discovery in colorectal cancer and COPD Investigated dielectric excitation methods for metal oxide semiconductor sensors His recent work addresses real-time odor quantification in wastewater plants, predictive modeling for postoperative complications, and low-cost IoT respiratory monitoring. Publications span sensor signal processing, calibration transfer techniques, and collaborative STEM education initiatives.