جست‌وجوی استاد و پژوهشگر

Gholamreza Alirezaeiمشاهده پروفایل

مدرس ارشد

• Data Science
• Machine Learning
• Artificial Intelligence
• +۱۰ مورد دیگر

Gholamreza Alirezaei is a Senior Lecturer and Principal Research Scientist at RWTH Aachen University's Faculty of Electrical Engineering and Information Technology, where he holds a position at the Chair for Communications Engineering. He also regularly teaches courses at the Technical University of Munich (TUM). With extensive experience in both theoretical and practical problem-solving, Dr. Alirezaei specializes in Applied Mathematics, Communications Engineering, and Information Processing. Dr. Alirezaei's research spans multiple cutting-edge domains including Data Science, Machine Learning, and Artificial Intelligence; Molecular Communications, Bio-Inspired Systems, and Massive Sensor Systems; Information Theory and Signal Processing; and Detection, Estimation and Classification Theory. His work combines theoretical rigor with practical applications, particularly in extreme environments and sensor networks. His research has gained significant recognition, with numerous awards and publications in top-tier venues. His scientific contributions have been honored with prestigious awards including the Vodafone Young-Researcher Prize, ITG-Literature Prize, and Friedrich-Wilhelm-Prize. He has also received multiple best paper awards for his conference presentations on topics ranging from wireless power systems to sensor networks and communication theory. Dr. Alirezaei has secured substantial research funding through various projects with DFG, BMBF, and EU funding programs. His leadership extends to organizing international conferences and workshops, including the IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE) and workshops on Massive Intelligent Sensor Systems (MISS).

Pim Bouteمشاهده پروفایل

استاد مدعو

• Marine Biology
• Fisheries Sustainability
• Biomimetics
• +۳ مورد دیگر

Pim Boute is an Externe medewerker (External Member) at the University of Groningen's Faculty of Science and Engineering , within the Biomimetics department. His research focuses on sustainable fishing technologies, marine organism behavior, and biomimetic engineering solutions. Key areas include electrotrawling sustainability, fish behavioral responses to electric fields, and hydrodynamic adaptations in boxfishes. He has contributed to international initiatives like the ICES Working Group on Electrical Trawling (WGELECTRA), advocating for environmentally friendly fishing practices. His work aligns with UN Sustainable Development Goals related to life below water and sustainable consumption. Boute has published extensively on electrotrawling's ecological impacts, comparing traditional beam trawls with pulse methods. Notable collaborations include studies on fish welfare, gear optimization, and bio-inspired filtration systems derived from manta rays. Boute actively engages in policy discussions, presenting findings in the European Parliament and contributing to media discourse on fisheries sustainability. He organizes international workshops, such as the Nature4Nature project's training modules on bioinspired design and numerical modeling. Key Projects: Electrotrawling sustainability reviews, biomimetic filtration prototypes, and fish injury studies. Media Outreach: Over 35 press mentions, including expert commentary on pulse trawling's environmental benefits. Labs/Teams: Collaborates with ICES and EU-funded networks, focusing on marine conservation and gear innovation.

Adamمشاهده پروفایل

استاد مهمان

• Health Informatics
• Digital Health
• Healthcare Innovation
• +۳ مورد دیگر

Adam is a globally recognized academic and industry leader in Health Informatics, holding multiple faculty roles across prestigious institutions. He serves as Visiting Professor at Taipei Medical University, Honorary Professor at Swansea University Medical School, and holds adjunct positions at Nanyang Technological University, Hong Kong University, and others. His primary affiliation is with the National University of Singapore, where he leads the Smart Health Leadership Centre and contributes to the MSc Biomedical Informatics programme. His work emphasizes digital transformation in healthcare, stakeholder empowerment, and sustainable innovation in patient-centered care. Adam's research focuses on bridging the eHealth divide through curriculum development and stakeholder collaboration. He has pioneered initiatives like the Mini-HI™ program to address silo-based training limitations. His academic roles include supervising scholarly projects at Lee Kong Chian School of Medicine and leading research in healthcare management education. His recent publications span advanced battery technologies, with a focus on solid-state electrolytes, materials science, and energy storage solutions. Though the Mini-HI™ bio emphasizes his Health Informatics contributions, his academic output also extends into materials innovation. Adam advises institutions globally on healthcare informatics and serves on technical committees for certifications like CPHIMS (HIMSS). His advisory roles include the Healthcare Advisory Group at Nanyang Business School and leadership in international training programs.

Alexandros Emborasمشاهده پروفایل

مدرس

• Memristive Devices
• Nanophotonics
• Plasmonics
• +۳ مورد دیگر

PD Dr. Alexandros Emboras is a senior scientist and lecturer at ETH Zurich's Department of Information Technology and Electrical Engineering, leading the center for Single Atom Electronics and Photonics funded by Werner Siemens Stiftung. His research focuses on memristive devices, neuromorphic engineering, and nanoscale photonics. He holds a PhD from CEA-LETI Grenoble (2012) and postdoctoral experience at Hebrew University (2013). Education: PhD in Electrical Engineering, CEA-LETI Grenoble (2012) Postdoctoral Research, Hebrew University of Jerusalem (2013) His research explores atomic-scale memristors, plasmonic devices, and their applications in neuromorphic computing and high-speed communications. Key contributions include photonic-electronic hybrid systems, resistive switching mechanisms in complex oxides, and energy-efficient neuromorphic architectures. Recent work emphasizes memristive photon sources and bio-inspired electronic systems leveraging oxide dynamics. Publications span advanced topics like gate-enabled memristive switches, inkjet-printed phase change memories, and in-situ reinforcement learning with analog memristors. His work bridges nanotechnology and practical applications in computing and communication systems. Labs/Teams: Coordinates the Werner Siemens Stiftung-funded center for Single Atom Electronics and Photonics at ETH Zurich.

• Biomedical and bioinspired engineering
• Optical/Infrared/mm-Wave/T-ray vision systems
• Game theory and information theory
• +۸ مورد دیگر

Professor Derek Abbott is a faculty member in the School of Electrical and Mechanical Engineering at the University of Adelaide, within the Faculty of Sciences, Engineering and Technology. He holds the academic rank of Professor and is actively involved in supervising Masters and PhD students. His research interests span a wide range of interdisciplinary fields, including biomedical engineering, optical systems, game theory, quantum mechanics, stochastic phenomena, computational neuroscience, and forensic engineering. Professor Abbott has also contributed to energy systems optimization and space-based sensor technology. His recent work includes studies on neural network robustness, gravitational redshift measurement, and cardiovascular disease prediction using machine learning. His research often bridges theoretical concepts with practical applications in engineering and healthcare. Key research areas include the development of terahertz technology, bio-inspired engineering systems, and quantum game theory frameworks. He has published extensively on topics ranging from deep learning security to renewable energy grid optimization. His interdisciplinary approach integrates principles from physics, mathematics, and computer science to address complex real-world problems. Professor Abbott is eligible to supervise postgraduate research students and collaborates internationally on projects related to forensic genealogy, platonism in science, and energy storage solutions. His work often emphasizes the intersection of technology and societal challenges, such as climate change and healthcare innovation.

B.S. Manjunathمشاهده پروفایل

استاد

• Image/Video Analysis
• Multimedia Databases
• Steganography
• +۳ مورد دیگر

B.S. Manjunath is a Professor in the Department of Electrical and Computer Engineering at the University of California, Santa Barbara (UCSB). He serves as Director of the Center for Multimodal Big Data Science and Healthcare and the Center for Bio-image Informatics. His research focuses on image/video analysis, multimedia databases, steganography, and bio-informatics. Manjunath holds a Ph.D. from the University of Southern California (1991), M.E. from Indian Institute of Science (1987), and B.E. from Bangalore University (1985). He is an IEEE Fellow and ACM Fellow. Education: Ph.D. (1991), Signal & Image Processing Institute, EE-Systems, USC M.E. (1987), Systems Science and Automation, Indian Institute of Science B.E. (1985), Electronics Engineering, Bangalore University Research Interests: Image/video analysis (segmentation, registration, texture analysis) Multimedia databases and data mining Steganography and digital forensics Signal/image processing for bio-informatics His work includes developing the BisQue open-source platform for image informatics and leading NSF-funded initiatives in bio-image informatics and interactive multimedia. Key Contributions: Over 300 peer-reviewed publications 24 patented technologies Co-editor of the ISO/MPEG-7 multimedia standard Founder faculty of the Media Arts and Technology Program Awards and Affiliations: IEEE Fellow (2025) and ACM Fellow (2025) Affiliated with UCSB’s Computer Science Department and Dynamical Neuroscience Program Former Director of the NSF-sponsored Interactive Digital Multimedia IGERT program Labs and Platforms: Director of the Vision Research Lab Lead developer of the BisQue image informatics system Pioneering work in multimodal camera networks and healthcare analytics

Konstantinos Zagorisمشاهده پروفایل

مدرس

• Content-Based Image Retrieval
• Handwritten Text Recognition
• Document Image Processing
• +۳ مورد دیگر

Konstantinos Zagoris is a Lecturer in Databases and Distributed Systems at Neapolis University Pafos, Department of Computer Science. He coordinates ERASMUS programs and student affairs. Previously, he held research roles at Salford University, Institute of Informatics & Telecommunications (Demokritos), and Democritus University of Thrace. Education: Diploma in Electrical and Computer Engineering (2003) - Democritus University of Thrace, Greece PhD in Content and Metadata Based Image Document Retrieval (2010) - Democritus University of Thrace Research focuses on content-based image retrieval, handwritten text recognition, document image processing, and medical image analysis. He has authored over 40 publications in journals and conferences, emphasizing innovative methods like Fuzzy Delphi Method for staff selection, convolutional recurrent neural networks for historical manuscript recognition, and bio-inspired models for document enhancement. Led projects funded by Hellenic/EU grants, with notable contributions to competitions like ICDAR DIBCO and ICFHR H-KWS. His work bridges computer science and digital humanities, advancing archival digitization and medical diagnostic tools.

Mable Fokمشاهده پروفایل

استاد

• Photonics
• Soft Robotics
• Bio-inspired Photonics
• +۵ مورد دیگر

Mable Fok is a Professor and Assistant Dean for Academic and Faculty Affairs at the University of Georgia's College of Engineering. Her research focuses on photonics and soft robotics, with the WAVE Lab advancing interdisciplinary applications in fiber optics, bio-inspired systems, and microwave photonics. She holds 5 patents and has secured funding from NSF, DARPA, and other agencies. Dr. Fok's work emphasizes biomimetic approaches, neuromorphic algorithms, and real-world applications in healthcare, agriculture, and robotics. Education: BSc, MSc, and PhD from Chinese University of Hong Kong, followed by postdoctoral training at Princeton University. Current roles include leading the Photonics and Soft Robotics Lab and overseeing academic affairs in the College of Engineering. Research Interests: Soft Robotics with embedded fiber optic sensors Bio-inspired photonics for adaptive systems Microwave photonics for dynamic RF systems Deep learning integration in sensing applications Key Awards: NSF CAREER Award (202X), UGA Creative Research Medal (202X), Ralph E. Powe Award (202X). Notable achievements include student-led award wins and groundbreaking work in photonics-based sensing. Teaching: Courses include Fiber Optics and You , Fundamentals of Logic Design , and Principles of Lasers and Photonics . Emphasizes foundational knowledge and self-learning skills. Labs/Teams: WAVE Lab (Photonics and Soft Robotics Laboratory) with specialized equipment for photonics, RF, and biomaterials research. Collaborates with industry partners and K-12 outreach programs.

Mingjie Linمشاهده پروفایل

استاد

• Bio-Inspired Computing
• Computer Architecture
• Robotics
• +۵ مورد دیگر

Mingjie Lin is a Professor in the Department of Electrical Engineering and Computer Science at the University of Central Florida's College of Engineering. He received his Ph.D. in Electrical Engineering from Stanford University in 2008 and has established himself as a leading researcher in bio-inspired computing and robotic control systems. Dr. Lin's research interests span multiple cutting-edge domains including: Bio-Inspired Logic Design with Graph and Field Theory Minimum-Energy Bio-Inspired Computing with Emerging Spintronic Devices Hardware-Assisted Large-Scale Neuroevolution for Multiagent Learning and Robotic Control Computer Architecture/Compiler, and Reconfigurable Computing His ongoing research is primarily funded by NSF grants focusing on Bio-Inspired Logic Design, Minimum-Energy Bio-Inspired Analogic Computing Devices, and Metaphysical and Probabilistic-Based Computing Transformation. Dr. Lin leads the Autonomous Computing Laboratory at UCF, where his team develops algorithms for improving dynamic adaptability of robotic agents in high non-stationary environments through the fusion of artificial intelligence techniques and classical robotic control algorithms. Dr. Lin has received numerous prestigious awards for his work: UCF Reach for the Star Award (2017) UCF CECS Dean's Advisory Award (2017) UCF Teaching Incentive Program Award (2016) NSF CAREER AWARD (2016) SAIC Faculty Fellowship in Electrical Engineering At the Autonomous Computing Laboratory, Dr. Lin and his team are engaged in creating innovative approaches to robotic control, particularly focusing on Dynamic Amorphous Obstacle Avoidance (DAO-A) where robotic arms can dexterously avoid dynamically generated obstacles that constantly change their trajectories and 3D forms. Their methodology leverages topological manifold learning and deep learning for dimension reduction, enabling conflict-free human-robot interactions even in dynamically constrained environments.

• Materials Engineering
• Aerospace Engineering
• Macromolecular and Materials Chemistry
• +۳ مورد دیگر

Bronwyn Fox is an Adjunct Professor at Swinburne University of Technology, with a focus on materials engineering and manufacturing processes. She previously served as Deputy Vice-Chancellor (Research and Enterprise) and founded the Manufacturing Futures Research Institute to advance Industry 4.0 in Australia's manufacturing sector. Her expertise includes carbon fibre composites, sustainable materials, and advanced manufacturing technologies. Roles: Adjunct Professor, former Deputy Vice-Chancellor, and founder of the Manufacturing Futures Research Institute Key Contributions: Pioneered the Carbon Nexus facility at Deakin University, fostering industrial research collaboration Research Interests: Her work spans materials science, composite materials, and sustainable manufacturing. Key areas include carbon fibre composites, Industry 4.0 automation, and recyclable vitrimers. She emphasizes interdisciplinary collaboration to bridge materials innovation with industrial application. Awards: Fellow of the Academy of Technological Sciences and Engineering (ATSE), Fellow of the Royal Australian Chemical Institute (RACI), and Chair of the Victorian Division of ATSE. Grants & Supervision: Led projects funded by the Australian Research Council, Department of Industry, and industry partners like Boeing. Supervised numerous PhD students exploring topics such as composite materials, graphene applications, and structural batteries. Labs/Teams: Associated with Swinburne Research and collaborates on initiatives like the ARC Research Hub for Future Fibre Industry.

• Integrated Photonics
• Imaging Systems
• Medical Diagnostics
• +۷ مورد دیگر

George Giakos is a Professor and Chair of the Department of Electrical and Computer Engineering at Manhattan College, NY, and Director of the Graduate Program. Previously, he served as a Professor at the University of Akron for over 20 years, directing imaging technologies and surveillance laboratories. His research focuses on imaging systems, photonics, medical diagnostics, and defense applications. Giakos holds a PhD from Marquette University and has authored over 200 peer-reviewed articles, 16 patents, and received prestigious awards including the IEEE Fellow distinction and the 2014 IEEE-USA Professional Achievement Award. Education Ph.D., Electrical & Computer Engineering, Marquette University M.S., Nuclear Physics, Ohio University Postgraduate Diploma, Nuclear Instrumentation, University of Edinburgh Laurea, Applied Physics, University of Turin Research Interests Giakos pioneers advancements in imaging devices and systems, integrating photonics, nanotechnology, and bio-inspired techniques. His work spans medical diagnostics (e.g., cancer detection via polarimetric imaging), defense (space surveillance, autonomous systems), and semiconductor characterization. He emphasizes interdisciplinary innovation, bridging defense and bioscience through novel imaging paradigms. Articles Overview Recent work includes neuromorphic architectures for space IoT, adversarial machine learning in power grids, and interdisciplinary frameworks for systematic innovation. His research often combines AI with domain-specific applications, addressing challenges in healthcare site selection, cybersecurity, and quantum sensing. Awards IEEE Fellow (2014) ONR Distinguished Faculty Fellow (2005) AFRL Space Surveillance Fellowships (2007–2009) NASA Faculty Fellowships (2000, 2001, 2004) Advising & Grants Giakos has secured over $6M in grants as PI, collaborating with AFRL, NASA, and industry partners like Lockheed Martin. His leadership spans IEEE committees, including chairing the TC-19 Imaging Systems Technical Committee and organizing international conferences like IEEE International Conference on Imaging Systems and Techniques. Labs & Teams Directs Manhattan College’s imaging and surveillance laboratories, advancing technologies such as multifusion polarimetric detection and bio-inspired robotic vision systems. His team develops platforms like the AFRL Multifunctional Imaging Surveillance system for defense and medical applications.

Roger Santerمشاهده پروفایل

مدرس

• Animal Behavior
• Neuroethology
• Insect Behavior
• +۳ مورد دیگر

Roger Santer is a Lecturer in Zoology at the Department of Life Sciences, Aberystwyth University, within the Institute of Biological, Environmental and Rural Sciences (IBERS). He holds a BSc in Zoology (Newcastle University, 1999) and a PhD in Invertebrate Neuroethology (Newcastle University, 2003). Prior to joining IBERS in 2010, he held postdoctoral positions at Newcastle University (2003–2006) and the University of Nebraska-Lincoln (2006–2008), followed by a lectureship in Biology at the University of Limerick (2008–2010). His research focuses on animal behavior and the neural mechanisms underlying it, particularly visually-guided behavior in insects and arachnids. Techniques include electrophysiology, behavioral studies, and computational modeling. His work aligns with UN Sustainable Development Goals related to biodiversity conservation and sustainable ecosystems. He led the project Conservation of butterflies under natural and modified illumination conditions (2017–2020), funded by the Welsh European Funding Office. Media coverage highlights his research on insect visual perception, including why biting flies are attracted to blue objects and the role of UV lighting in butterfly behavior. Collaborations span institutions like the University of Nebraska-Lincoln and international partners, with datasets and open-access publications emphasizing pest control strategies and arthropod sensory biology.

Nathan Lazarusمشاهده پروفایل

دانشیار

• Soft Robotics
• Wearable Technology
• 3D Printing of Electronics
• +۴ مورد دیگر

Prof. Nathan Lazarus is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Delaware. He holds a B.S.E. in Electrical Engineering from the University of Pennsylvania (2007), and M.S. and Ph.D. degrees in Electrical and Computer Engineering from Carnegie Mellon University (2010 and 2012). Before joining UD's faculty in 2022, he conducted research at the U.S. Army Research Laboratory (ARL), where he pioneered breakthroughs in stretchable wireless power systems and 3D-printed electronics. His research focuses on unconventional materials and manufacturing techniques for wearable electronics, soft robotics, and energy systems. Key innovations include liquid metal-based stretchable inductors, ferrofluid-enhanced magnetic composites, and laser-fabricated 3D electronics. Lazarus has achieved record performance metrics in wireless power transmission efficiency and inductor quality factors. Major Research Themes: Stretchable Electromagnetic Devices, Additive Manufacturing for Electronics, Soft Robotics Actuators Notable Awards: PECASE (2019), ARL Honorary Engineering Award, Federal Career Excellence Award (Gold) Recent work spans self-folding metal origami, acoustic wireless power transfer, and piezoelectric energy harvesting systems. His lab emphasizes cross-disciplinary approaches to integrate materials science, mechanical engineering, and electronics for real-world applications.

Saulo H. Freitas Seabra da Rochaمشاهده پروفایل

استاد

• Alternative Fuels
• Biomass Processing
• Waste Recycling
• +۳ مورد دیگر

Prof. Dr. Saulo H. Freitas Seabra da Rocha serves as Professor in the Department of Environmental and Process Engineering at the Institute of Energy Systems and Energy Economics, Ruhr West University of Applied Sciences, where he has held a position since October 2011. He currently leads the Energy and Environmental Engineering (B.Sc.) program and participates in university governance as a member of the Research and Transfer Commission and Faculty Council of Department 1. His academic foundation includes metallurgy studies at the Federal University of Minas Gerais and a distinguished doctorate (2010) from RWTH Aachen University's Teaching and Research Area for Coking Technology, focusing on briquetting metallurgical residues for blast furnace reuse. During his doctoral work, he founded Blackballs Technologies GmbH, specializing in mechanical and thermal process engineering solutions. Prof. Seabra's research centers on alternative fuels, biomass processing, and waste recycling , with deep expertise in mechanical and thermal process engineering . His work specifically targets pelletization, briquetting, torrefaction, and carbonization of biomass and industrial residues to achieve resource efficiency through residue valorization. Current investigations emphasize sustainable pathways for steel industry decarbonization and energy system innovation. Analysis of his publication record reveals consistent focus on biomass-derived carbon carriers for CO2 reduction in ironmaking, alongside thermal conversion technologies for waste-to-energy applications. His research bridges fundamental laboratory analysis with industrial implementation, demonstrating strong alignment with circular economy principles across metallurgical and energy sectors. Prof. Seabra secures competitive funding for projects including: COBI : CO2-neutral coke substitution using biomass residues in blast furnaces (BMBF, CLIENT) 3-D Ceramic Printer : Internal HRW research initiative Stroh-Energie.NRW : Regional biomass energy project (Efre, Ziel2.NRW) Carbonized Biomass for Cupola Furnaces : Alternative energy carriers development (AiF INAH) Innovative Agglomeration Procedures : Metallurgical residue processing (BMBF) As program head, he oversees curriculum development and student mentorship in Energy and Environmental Engineering. He directs the institute's analytical laboratories, providing critical infrastructure for biomass and waste recycling research, with his team actively translating laboratory findings into industrial applications for steel and energy sectors.

Hanlin Niuمشاهده پروفایل

عضو هیئت علمی

• Collision Avoidance
• Path Planning
• Deep Reinforcement Learning
• +۴ مورد دیگر

Hanlin Niu is an Honorary Research Associate at the University of Manchester, affiliated with the School of Engineering's Department of Electronic and Electrical Engineering (EEE). He holds a PhD from Cranfield University and a bachelor's degree from Tianjin University. His research focuses on autonomous systems, including collision avoidance algorithms, path planning, deep reinforcement learning, and formal verification. He has extensive industrial experience with projects funded by EPSRC, Innovate UK, and others. Current Position: Honorary Research Associate at University of Manchester Key Projects: Digital Twin-based Teleautonomous Systems (EPSRC), Robotics and AI in Nuclear (RAIN) Prior Experience: Postdoc at Cardiff University (robotics/computer vision) Research Interests: Collision avoidance, path planning for USVs/UAVs, deep learning for autonomous systems, and formal verification of decision-making systems. His work contributes to UN Sustainable Development Goals related to industry innovation and infrastructure. Notable Contributions: Developed collision avoidance algorithms for ASV Global's USVs, Kuka iiwa robot arm solutions, and multi-drone platforms. Authored 14 peer-reviewed publications, including high-impact papers on path planning and reinforcement learning.