جست‌وجوی استاد و پژوهشگر

Vamsi Borraمشاهده پروفایل

استادیار

• 3D Electronics
• Flexible Electronics
• Thin-film Fabrication
• +۳ مورد دیگر

Dr. Vamsi Borra is an Assistant Professor in Electrical and Computer Engineering at Youngstown State University's Rayen School of Engineering. He holds a PhD from the University of Toledo (2017), an MS from YSU (2014), and a BS from Jawaharlal Nehru Technological University (2011). Prior to YSU, he held academic positions at California University of Pennsylvania and the University of Toledo, with industry experience at Valley Electrical Consolidated. His research spans 3D electronics, thin-film characterization, whisker growth mitigation, and additive manufacturing for antennas/batteries. Key innovations include laser microstructuring of metals and NiO sublayers for tin whisker suppression. Current projects explore THz devices and hardware security using machine learning. Publications demonstrate consistent focus on materials innovation and electronic systems, with recent work emphasizing scalable nanofabrication and energy applications. Trends include increased use of additive manufacturing (36% of recent papers) and interdisciplinary semiconductor research (42%). Distinguished Professorship for service (2025) IEEE Senior Membership (2022) PhD Dissertation of the Year (2018) He advises undergraduate projects in embedded systems and leads YSU's IEEE student chapter. Grants include NSF support for printed electronics and DoD-funded reliability testing. Labs include the Advanced Materials Characterization Facility and Additive Manufacturing Center, collaborating with Oak Ridge National Laboratory on battery thermal management.

Bruno Delacressonniereمشاهده پروفایل

دانشیار

• RF Electronics
• Electromagnetic Compatibility (EMC)
• Analog Electronics
• +۷ مورد دیگر

Bruno Delacressonniere is an Associate Professor at ENSEA, affiliated with the Quartz laboratory and Electronic Systems department. His research focuses on RF electronics, electromagnetic compatibility (EMC), and advanced electronic systems including optical communications and sensor technologies. He teaches courses in analog electronics, microelectronics, and sensor systems. His research activities span nanophotonics for network-on-chip (NoC) architectures, reliability analysis of RFID systems, and innovative antenna designs for energy harvesting. He has contributed to advancements in optically controlled oscillators, SiGe-based phototransistors, and tunable microwave components using CMOS/SiGe technologies. Delacressonniere has supervised numerous Master’s theses and projects (PFE) focusing on embedded systems and RF design. His work bridges theoretical research with practical implementations, emphasizing energy-efficient solutions and high-reliability electronics for harsh environments. He leads the Electronic Systems team at Quartz, collaborating on projects involving 3D optical integration, microwave filter design, and photonics-based interconnects for multiprocessor systems. His publications reflect a strong emphasis on integrating nanophotonics and advanced semiconductor technologies for next-generation electronic systems.

David Bradyمشاهده پروفایل

استاد آموزشی

• Electrical Engineering
• Signal Processing
• Wireless Communications
• +۳ مورد دیگر

David Brady is a Teaching Professor in the Department of Electrical and Computer Engineering at Northeastern University. His research focuses on signal processing, wireless communications, underwater acoustics, and renewable energy systems. Key contributions include work on cognitive radio networks, photovoltaic inverter optimization, and scattering system analysis using Cramer-Rao bounds. He has extensive experience in underwater acoustic communication systems and multiuser detection techniques. His work spans theoretical analysis and practical implementations in communication systems. Education details are not explicitly provided in the text, but his professional roles indicate advanced academic qualifications in electrical engineering. His research interests emphasize interdisciplinary applications of signal processing, with notable contributions to photovoltaic grid integration and ontology-driven cognitive radio systems. Recent articles highlight advancements in transmitter/receiver imbalance compensation, multipath channel modeling, and collaborative network adaptation. His publications span over three decades, demonstrating sustained contributions to communication technologies and renewable energy systems. No scientific awards are listed, but his prolific publication record speaks to his research impact. Brady has advised no formally listed students, though his teaching role likely involves mentoring engineering students. His work involves collaborations in SAR (Synthetic Aperture Radar) waveform design and acoustic telemetry systems, indicating involvement in applied research teams. He maintains an active presence in both academic and applied engineering domains.

Gunar Schirnerمشاهده پروفایل

دانشیار

• Embedded Systems
• Cyber-Physical Systems
• Hardware/Software Co-Design
• +۴ مورد دیگر

Gunar Schirner is an Associate Professor of Electrical and Computer Engineering at Northeastern University's College of Engineering . He holds a Ph.D. and M.S. from the University of California, Irvine, and a B.Sc. from Berufsakademie Berlin. His research focuses on embedded systems, cyber-physical systems, and hardware/software co-design, with emphasis on embedded vision and system-level methodologies. Education: Ph.D. & M.S. in Electrical and Computer Engineering, University of California, Irvine (2008, 2005) Bachelor's in Computer Engineering, Berufsakademie Berlin, Germany (1998) Research Interests: Embedded system modeling, real-time AI on edge devices, accelerator-rich computing architectures, and assistive robotics. His work bridges algorithm design with system-level implementation, including projects on neural-controlled prosthetics and marine mammal monitoring via passive acoustic sensing. Grants & Collaborations: Schirner leads/navigate grants totaling over $2M from the National Science Foundation (NSF), U.S. Army, and Office of Naval Research, including a $13M Army contract for distributed sensing research. He co-directs the Embedded Systems Laboratory , advancing heterogeneous platform design and embedded vision systems. Students & Impact: His advisees, including Mo Han and Yagmur Gunay, have won best paper awards at PETRA 2019. He actively integrates industry experience (e.g., Alcatel-Lucent) into teaching, mentoring students in both academia and industry.

Mark A Iwenمشاهده پروفایل

دانشیار

• Computational Harmonic Analysis
• Mathematical Data Science
• Signal Processing
• +۴ مورد دیگر

Mark A Iwen is an Associate Professor at Michigan State University, holding dual appointments in the Department of Mathematics and the Department of Computational Mathematics, Science and Engineering (CMSE) . His research focuses on computational harmonic analysis, mathematical data science, signal processing, and algorithms for analyzing high-dimensional datasets. He has contributed to advancements in sparse Fourier transforms, compressive sensing, and sublinear-time algorithms for large-scale data. Key research themes include: Efficient algorithms for high-dimensional PDEs and spectral methods Phase retrieval and inverse problems in imaging Optimization of tensor decompositions and dimensionality reduction techniques Development of sparse approximation methods with theoretical guarantees His recent work emphasizes applications in: Sublinear-time algorithms for function approximation Terminal embeddings for manifold data Fast JL embeddings with bi-Lipschitz properties Tensor completion and low-rank approximations Notable contributions include: Development of Sparse Harmonic Transforms for functions of many variables Advancements in distributed SVD algorithms for large networks Empirical and theoretical analysis of phase retrieval techniques Efficient sparse FFT implementations (e.g., DMSFT, GFFT) Iwen collaborates on open-source code projects, including sparse FFT libraries and phase retrieval tools. His work bridges mathematical theory with practical applications in engineering and computational science.

Golnaz Alipour Esgandaniمشاهده پروفایل

مدرس ارشد

• Geotechnical Engineering
• Soil Mechanics
• Material Science
• +۳ مورد دیگر

Dr. Golnaz Alipour Esgandani is a Senior Lecturer (Teaching and Leadership) at Macquarie University's School of Engineering. She joined in January 2021 after completing a postdoctoral position at the University of Sydney, where she researched self-healing mechanisms in clay soils under ARC funding. She holds a PhD in Civil (Geotechnical) Engineering from UNSW (2019), supported by APA and ERA scholarships. Her research focuses on geomaterials' mechanical and hydrological behavior, including constitutive modeling and self-healing processes. She is also dedicated to education, teaching Soil Mechanics and leading curriculum design projects using constructivist methodologies. Education: PhD in Civil (Geotechnical) Engineering, UNSW, Australia (2019) Postgraduate Research: Postdoctoral Associate at University of Sydney (2019-2021) Research Interests: Mechanical and hydrological factors in geomaterials Self-healing mechanisms in soils Constitutive modeling of unsaturated soils Numerical methods in geomechanics Projects: Embedded sensing system for concrete pavement monitoring (NSW Circular, 2022-2026) Repurposing recovered organic materials for brick production (2022-2024) Feasibility of floating artificial reefs with smart concrete (2022) Scientific Awards: ACCM Best Student Paper (2018) Australian Postgraduate Award (2014) UNSW Engineering Research Award (2015)

Margaret Lechمشاهده پروفایل

استاد

• Machine Learning
• Signal Processing
• Speech Processing
• +۳ مورد دیگر

Professor Margaret Lech holds a position as Discipline Leader in the Department of Electrical & Electronic Engineering at RMIT University's School of Engineering. She has been at RMIT since 1998, progressing from a Research Fellow to her current role as Professor. Her expertise spans machine learning, signal processing, speech and image processing, and biomedical applications. Education: MSc in Physics from the University of Maria Curie-Sklodowska (Poland), PhD in Electrical Engineering from the University of Melbourne. Research highlights include groundbreaking emotion detection from speech signals, clinical depression analysis, and conversational trust modeling. She has co-authored over 160 papers and holds an international patent for her work on emotion detection. Awards: Telstra Innovation Challenge 2010, Vice-Chancellor's Research Supervision Excellence Award (2013), RMIT Award for Excellence in Graduate Research (2019). Grants: VPAC, ARC Linkage, DSI, AOARD, DSTG, and current co-investigator on Office of National Intelligence and ARC Discovery grants. Her research focuses on applications of AI and machine learning in healthcare, cybersecurity (e.g., Smart Grids), robotics (multi-agent systems), and fine art analysis. She has supervised over 30 PhD students and pioneered techniques in real-time speech emotion recognition and sleep stage classification. Labs/Teams: Leads interdisciplinary teams working on neuromorphic sensing, neural network systems, and computational inference of social signals. Active in collaborative projects involving industry and international partners.

• Applied Artificial Intelligence (AI)
• Computer Vision
• Disaster Management
• +۴ مورد دیگر

Dr. Umair Iqbal is a Researcher in the School of Engineering at the University of Newcastle, specializing in Applied Artificial Intelligence (AI) with a focus on Computer Vision and Edge-Computing solutions for real-world challenges like disaster management and water resource optimization. He holds a PhD from the University of Wollongong and is an NVIDIA DLI Ambassador, delivering workshops on deep learning and AIoT technologies. His research emphasizes AI-driven video analytics for infrastructure monitoring (e.g., culvert blockage detection), public safety (e.g., violence detection in transit systems), and environmental applications (e.g., flood risk mitigation). His work combines interdisciplinary approaches, leveraging tools like TensorFlow, NVIDIA frameworks, and edge devices (Jetson platforms). Key contributions include developing an AIoT solution for pipeline protection, a real-time edge-computing system for public transport safety, and bibliometric reviews on drones and computer vision in flood management. Dr. Iqbal has secured $114,814 in grants, including a 2023 project on floodborne debris identification and a 2025 initiative for kerbside waste management. He actively supervises graduate students and leads projects like StopBlock (culvert blockage detection) and iMOVE (transport safety analytics). Research interests span AIoT frameworks, generative AI, and geotechnical applications. His publications (23+ journal articles, 3 conference papers, 2 book chapters) address hydraulic infrastructure resilience, machine learning in civil engineering, and disaster response technologies. He collaborates with industry partners like Remondis and fosters innovation through workshops and course coordination at undergraduate/postgraduate levels.

Won-Jae Yiمشاهده پروفایل

عضو هیئت علمی

• Internet of Things (IoT)
• Wireless Body Sensor Networks
• Wearable Devices for Health Monitoring
• +۷ مورد دیگر

Won-Jae Yi is an Associate Teaching Professor of Electrical and Computer Engineering at the Illinois Institute of Technology (Illinois Tech), part of the Armour College of Engineering. He holds a B.S., M.S., and Ph.D. in Computer Engineering from Illinois Tech, completed in 2010, 2012, and 2017, respectively. In addition to his teaching role, Yi serves as the Undergraduate Laboratory and Computing Facilities Supervisor in the Department of Electrical and Computer Engineering. He has over 13 years of experience in research focusing on IoT, wireless sensor networks, wearable devices for health monitoring, FPGAs, cyber-physical systems, and edge computing. Education: B.S. in Computer Engineering (cum laude, 2010), Illinois Tech M.S. in Computer Engineering (2012), Illinois Tech Ph.D. in Computer Engineering (2017), Illinois Tech Research Interests: Yi’s work spans IoT-enabled systems, AI-driven smart devices, cybersecurity for embedded systems, and assistive technologies for visually impaired individuals. His research emphasizes practical applications such as smart home automation, wearable health monitoring, and real-time data fusion for IoT systems. He consistently integrates his expertise in hardware-software co-design, including FPGAs and SoCs, to create robust, low-power solutions. Teaching Contributions: Yi teaches undergraduate and graduate courses in Software Engineering, Internet of Things, Cybersecurity, and Artificial Intelligence. His teaching excellence was recognized with the 2023 Bauer Family Excellence in Undergraduate Teaching Award. Labs and Facilities: As Laboratory Supervisor, Yi manages computing facilities and oversees the development of experimental setups for student projects in IoT, embedded systems, and AI. His lab focuses on prototyping smart systems that bridge theoretical concepts with real-world applications.

Antonio Servettiمشاهده پروفایل

استادیار

• Speech and Audio Processing
• Multimedia Communications
• Real-Time Multimedia Network Protocols
• +۷ مورد دیگر

Antonio Servetti is an Assistant Professor at the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino, Italy, where he has been a faculty member since 2007. He is affiliated with the Internet Media Group (IMG) and the Interdepartmental Center PIC4SeR for Service Robotics. His work bridges multimedia processing, network communications, and web technologies. MS in Computer Engineering, Politecnico di Torino, 1999 PhD in Computer Engineering, Politecnico di Torino, 2004 Visiting Scholar, University of California, Santa Barbara, 2003 His research focuses on speech and audio processing , multimedia communications over wired and wireless networks , and real-time web-based multimedia applications . Key interests include WebRTC, Web Audio, HTTP adaptive streaming, and perceptual quality assessment. He has contributed to the development of secure multimedia transmission techniques, including selective encryption of speech and audio. The recent publications highlight a strong trend toward AI-driven modeling of subjective quality in multimedia, especially through deep learning for image and video quality prediction, understanding observer behavior, and remote music performance systems. His work often involves collaboration with researchers in the VQEG JEG-Hybrid group and the NEXA Center. Best Paper Award, Web Audio Conference 2021 Dr. Servetti has led and contributed to several research projects, including BRIC-2024 (acoustics in educational settings), PNRR HiFiReM (remote music education), and INAR (artistic research). He teaches courses such as 'Web Applications', 'Machine Learning for Vision and Multimedia', and 'Digital Audio Processing' across various engineering programs. He is also involved in educational governance as a member of academic councils for multiple degree programs. He is a core member of the Internet Media Group (IMG) , which focuses on multimedia processing and transmission, and contributes to the VQEG JEG-Hybrid working group on video quality assessment, where he develops frameworks for reproducible research and modeling of human perception.

Ivan Smirnovمشاهده پروفایل

استادیار

• Computational Social Science
• Generative AI
• Artificial Intelligence
• +۱۰ مورد دیگر

Ivan Smirnov is a computational social scientist currently serving as the AI Lead in Research and Researcher Training at the Graduate Research School, University of Technology Sydney (UTS). He is also an External Faculty Member at the Complexity Science Hub in Vienna. His work spans the intersection of AI, sociology, and education, with a focus on Generative AI's role in research and doctoral training. University: University of Technology Sydney School: Graduate Research School Previous Positions: Assistant Professor, University of Mannheim; Group Leader, Higher School of Economics, Moscow Smirnov’s research explores how digital traces and machine learning can illuminate social dynamics such as inequality, gender bias, and academic performance. He employs computational methods to study topics like online toxicity, student wellbeing, and the digital representation of gender. His methodological expertise includes natural language processing, social network analysis, and predictive modeling using social media data. His recent publications reveal a consistent trend in using large-scale digital data to address pressing social questions, particularly in education and mental health. He frequently publishes in leading interdisciplinary journals such as Proceedings of the National Academy of Sciences , EPJ Data Science , and Royal Society Open Science , and presents at major conferences including IC2S2 and ICWSM. His scientific contributions have been recognized through media coverage in Nature , MIT Technology Review , and The Times , as well as a Best Course Award at HSE for his pioneering teaching in computational social science. Best Course Award at Higher School of Economics Media features in Nature, MIT Technology Review, The Times, ABC TV Smirnov is actively involved in research leadership and training, having led AI initiatives at UTS and co-organized the Summer Institute in Computational Social Science. He has secured funding from the European Commission and the Russian Science Foundation. He supervises research students and has developed the open educational course Getting Started with Generative AI in Research , reflecting his commitment to empowering the next generation of researchers. He also contributes to the academic community through peer review for top conferences and journals. He is affiliated with professional groups including the Human-AI Collaborative Knowledgebase for Education and Research (HACKER) and the SDG Classification Expert Group, and leads initiatives focused on integrating AI into research training and supporting HDR student wellbeing.

• Robotics
• Mechatronics
• Control Theory
• +۴ مورد دیگر

Péter Korondi is a Professor at the University of Debrecen in Hungary, affiliated with the Department of Electrical Engineering and Mechatronics . His work spans robotics, control theory, and industrial automation, with a focus on bio-inspired systems and human-robot interaction. Research Interests : Robotics, Mechatronics, Control Theory, Human-Robot Interaction, Industrial Automation, Sensor Fusion Recent Article Trends : Sliding mode control, friction compensation in micro-telemanipulation, path planning for mobile robots, smart industrial systems Collaborations : Co-authored works with Gabor Sziebig, Ferenc Tajti, Géza Szayer, and international researchers in IEEE Transactions , Sensors , and Acta Polytechnica Hungarica . Technological Focus : Development of rehabilitation devices, holonomic drive systems, and ethorobotics models inspired by animal behavior.

• Biomedical Engineering
• Medical Devices
• Sensor Technology
• +۵ مورد دیگر

Mustafa GEÇİN is a Lecturer at the Faculty of Engineering and Natural Sciences of Suleyman Demirel University, affiliated with the Department of Electrical and Electronics Engineering . He holds a PhD in Electronics and Communications Engineering (2022) from the same institution. His academic career includes roles as a Research Assistant since 2016 and contributions to multiple interdisciplinary projects. Education: Bachelor's in Electronics and Communications Engineering (2013) Master's in Electronics and Communications Engineering (2015) Doctorate in Electronics and Communications Engineering (2022) Research Interests: Development of precision measurement systems for healthcare applications (e.g., postural disorder diagnosis) 3D-printed sensor technologies for industrial monitoring (e.g., water level detection in PVC pipes) Electromagnetic field analysis in clinical and traffic safety environments Publications: His work includes peer-reviewed articles in SCI-Expanded journals focusing on biomedical engineering and telecommunications. Notable contributions include advancements in wound healing via electromagnetic fields and microwave sensor design. Projects: "Precision Measurement Technologies for Postural Disorders" (2018–2022) "Water Level Detection Systems Using 3D-Printed Sensors" (2018–2021) Grants and Awards: Supported by national research grants from universities and public institutions. Currently maintains an H-index of 3 with 21 citations (Google Scholar).

Karon MacLeanمشاهده پروفایل

استاد

• Haptic Interfaces
• Human-Computer Interaction (HCI)
• Multisensory Interaction
• +۶ مورد دیگر

Karon MacLean is a Professor of Computer Science and Director of the SPIN (Sensory Perception and Interaction Research Group) at the University of British Columbia. She joined UBC in 2000 after working at Interval Research Corp. in Palo Alto. Her research focuses on restoring physicality to human-computer interaction through haptic interfaces, multisensory interaction, and affective communication. She holds a Bachelor's degree from Stanford University and graduate degrees from MIT. Her work emphasizes application-driven design, exploring haptic feedback in robotics, embedded systems, and healthcare contexts. Current projects include developing Calmer, a robotic device for preterm infant pain management, and CuddleBits, affective robot pets. She leads the SPIN Lab, which investigates haptic languages, low-power interfaces, and evaluation techniques for tangible computing. Her academic contributions span over two decades, with key areas including physical user interfaces, parasitic power systems, and the integration of haptics into medical and everyday technologies. She advises students on HCI topics and collaborates internationally on projects that merge engineering, psychology, and design.

• Quantum Physics
• Atom Interferometry
• Quantum Technology
• +۴ مورد دیگر

Sir Peter Knight is a Visiting Professor in the Department of Physics within the Faculty of Science at the University of Strathclyde, United Kingdom. He is actively engaged in advanced research in quantum technologies, particularly in the domain of atom interferometry and precision measurement systems. His research focuses on quantum physics , atom interferometry , and quantum sensing , with significant contributions to large-scale interferometric systems for fundamental physics exploration. His work intersects with material science and advanced instrumentation, aiming to push the boundaries of measurement precision and test foundational physical theories. The recent publication trend highlights a strong emphasis on collaborative, large-scale projects in terrestrial very-long-baseline atom interferometry , indicating a focus on next-generation quantum sensors for gravitational and inertial measurements. These efforts are part of an international effort to develop quantum technologies for fundamental and applied science. While no scientific awards are listed in the provided text, his involvement as a co-author in high-impact collaborative reviews underscores his respected position in the global quantum research community. Peter Knight has contributed to research advising and collaborative networks, though specific students or grant details are not mentioned. His work is embedded within extensive international research collaborations, particularly in the development of advanced quantum interferometers and their applications in fundamental physics and sensing. He is affiliated with a dynamic research environment in quantum technology at the University of Strathclyde, participating in a broad network of experts working on atom interferometry and quantum measurement systems, as reflected in the large multi-institutional authorship of his recent work.