جست‌وجوی استاد و پژوهشگر

Tayab Din Memonمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence
• Machine Learning
• Signal Processing
• +۵ مورد دیگر

Tayab Din Memon serves as Senior Lecturer and Senior Learning Facilitator at Torrens University Australia's Design and Creative Technology school, where he leads initiatives in the Centre for Artificial Intelligence Research and Optimisation (AIRO). With over 15 years of academic experience spanning teaching, research, and management, he actively supervises PhD candidates in AI-driven sustainable infrastructure and education technology projects. Education PhD in Computer Engineering from Royal Melbourne Institute of Technology University (awarded July 16, 2012) Research Focus Dr. Memon's work bridges technical AI systems and educational innovation , with core expertise in machine learning for fault detection in railway infrastructure and generative AI applications in learning analytics. His signal processing research targets FPGA/SoC implementations for sustainable engineering solutions, while his education technology work pioneers student-teacher-GenAI interaction frameworks using Bloom's Taxonomy to enhance engagement and retention. Current projects include AI-powered condition monitoring systems and flipped learning reimagined through AI collaboration. Research Trends Analysis of his 2024-2025 publications reveals two converging streams: (1) AI in Education focusing on generative AI's role in future pedagogy through collaborative teacher-GenAI models, and (2) Embedded Systems Engineering developing sigma-delta modulation techniques for railway monitoring and image processing. Both streams emphasize sustainable infrastructure solutions and real-world hardware implementation on FPGA platforms. Academic Leadership As former Head of Electronic Engineering Department (implementing Washington Accord standards), Dr. Memon has coordinated online curricula using flipped learning pedagogy and served as Co-Principal Investigator for the Haptics, Human-Robotics, and Condition Monitoring System Lab under Pakistan's National Center of Robotics and Automation. His current grants focus on AI-driven sustainable infrastructure and educational technology innovation. Research Environment He leads the Centre for Artificial Intelligence Research and Optimisation (AIRO) at Torrens University, directing interdisciplinary teams that combine robotics, haptics, and machine learning. Previously, he spearheaded the 11-lab NCRA consortium developing condition monitoring solutions for railway wheelsets and track surfaces, with ongoing work extending to three-phase induction motors and wireless communication systems.

• Analog Electronics
• Power Electronics
• Electromagnetic Compatibility (EMC)
• +۶ مورد دیگر

Franco Fiori is a Full Professor at the Department of Electronics and Telecommunications (DET) at Politecnico di Torino. His research focuses on analog electronics, electromagnetic compatibility, and power electronics, with emphasis on EMI reduction in automotive systems and acoustic data transmission in urban water networks. He leads the Microelectronics Electromagnetic Compatibility (EMC) group and contributes to the Power Electronics Innovation Center (PEIC) . Scientific sectors: PE7_2 (Power Components), PE7_5 (Microelectronics), SDG Goals 7/9/11/12/13 Teaching: Analog and Power Electronics (2019–2025), Fundamentals of Electronics for Aerospace Engineering (2019–2025) His research explores GaN HEMT gate drivers, delay compensation techniques (DCT), and EMC in smart power ICs. Recent work includes EMI reduction in WBG inverters and acoustic communication systems for water networks. Key projects: Optimization of GaN Gate Drivers (2022–2024), Substrate Coupling Analysis (2025–2027), and Acoustic Data Transmission in Water Pipes (2019–2020). He holds a patent for Serial Data Bus with Ultrasonic Connectors (2013) and collaborates with STMicroelectronics. Doctoral Students: Alberto Barbaro (2023–) Jacopo Serra (2023–) Markeljan Fishta (2019–2023)

• Analog Circuits
• Digital Signal Processing
• Integrated Circuit Design
• +۳ مورد دیگر

Lei Qiu is affiliated with Tongji University , College of Electronics and Information, Shanghai, China, and holds a PhD from Nanyang Technological University (2016), School of Electrical and Electronic Engineering, Singapore. His research focuses on Analog Circuits , Digital Signal Processing , and Integrated Circuit Design , particularly in ADC calibration techniques, LiDAR systems, and sensor technology. Education: PhD, Nanyang Technological University (2016) His work addresses challenges in Time-Interleaved ADCs , SAR ADCs , and dToF LiDAR , with recent publications emphasizing error correction, power efficiency, and machine learning integration for real-time systems. Collaborations span institutions like National University of Defense Technology, Tsinghua University, and industry leaders in CMOS technology. Key contributions include innovations in Capacitor Mismatch Calibration , Common-Mode Detection , and Dynamic Amplifiers , reflecting a trend toward optimizing high-speed, low-power analog-digital interfaces for applications in medical imaging and autonomous systems.

• Power Electronics
• Electromagnetic Compatibility
• Indoor Environmental Quality Monitoring
• +۳ مورد دیگر

Alberto Barbaro is a PhD candidate in Electrical, Electronics and Communications Engineering at the Department of Electronics and Telecommunications (DET) of the Polytechnic University of Turin, currently in his 39th cycle (2023-2026). He also serves as an external lecturer and teaching assistant in the same department, contributing to the Applied Electronics course for Electronics Engineering students in the 2024/25 academic year. Education: PhD candidate in Electrical, Electronics and Communications Engineering, Polytechnic University of Turin (2023-2026) Barbaro's research spans multiple domains within electrical engineering and environmental monitoring. His work focuses on power electronics, particularly GaN-based converters and electromagnetic interference mitigation techniques. He has made significant contributions to the development of low-cost, multi-sensor systems for Indoor Environmental Quality (IEQ) monitoring. His research integrates hardware design, sensor networks, and data processing to create comprehensive monitoring solutions that assess thermal, visual, acoustic, and air-quality conditions in indoor environments. His publication record demonstrates a clear progression from foundational work on electromagnetic compatibility to sophisticated multi-sensor IEQ monitoring systems. A notable trend in his research is the development of the PROMET&O system (PROactive Monitoring for indoor EnvironmenTal quality & cOmfort), which integrates objective IEQ metrics with subjective occupant feedback to create a holistic assessment of indoor environments. His technical expertise in power electronics complements his environmental monitoring work, showing a multidisciplinary approach to engineering challenges. Barbaro works under the supervision of Professors Franco Fiori and Erica Raviola, collaborating with a diverse team of researchers across multiple departments. His research has involved partnerships with colleagues specializing in acoustics, environmental engineering, and metrology, reflecting the interdisciplinary nature of his work on indoor environmental quality assessment. His current projects focus on refining the metrological characterization of multi-sensor devices and validating their performance in real-world office environments. Future work will likely continue to bridge the gap between power electronics expertise and environmental monitoring applications, potentially exploring how electromagnetic fields in indoor environments interact with other quality metrics.

Ying Xuمشاهده پروفایل

دانشیار مدعو

• Architectural Engineering
• Building Energy and Environments
• Emissions of SVOCs from polymeric materials and their interaction with airborne particles and interior surfaces

Dr. Ying Xu is an Adjunct Associate Professor at the University of Texas at Austin, specializing in architectural engineering, building energy systems, and the environmental impact of materials. Her technical focus includes emissions from polymeric materials and their interactions with indoor environments. She holds a Ph.D. (Virginia Tech, 2009), M.E. (Tsinghua University, 2004), and B.E. (Tsinghua University, 2001). Research interests span sustainable building technologies, indoor air quality, and the mitigation of SVOC emissions. Her work also explores advanced analog IC design methodologies, including automation tools like MAGICAL and neural network-guided routing systems. She has contributed to innovations in low-power sensor circuits, VCO-based architectures, and optical logic synthesis. Publications emphasize automation in circuit layout, energy-efficient designs, and hybrid system architectures. These contributions reflect expertise in both environmental engineering and cutting-edge electronics research.

Gregory L. McColmمشاهده پروفایل

دانشیار

• Mathematical Logic
• Theoretical Computer Science
• Probabilistic Methods
• +۷ مورد دیگر

Gregory L. McColm is an Associate Professor in the Department of Mathematics & Statistics at the University of South Florida, College of Arts and Sciences. He holds a Ph.D. in Mathematical Logic from UCLA (1986), an M.A. from UCLA (1982), and a B.A. from Oberlin College (1980). His interdisciplinary research spans mathematical logic, theoretical computer science, discrete geometry, mathematical crystallography, and mathematics education. Recent publications focus on applications of lattice theory and coding in communications systems, with innovations in MIMO transmission, fiber-optic communications, and signal constellation design. His work demonstrates consistent development of efficient algorithms for high-dimensional modulation schemes and error correction techniques. Professor McColm has advised multiple graduate students in mathematics and maintains active research programs in both pure and applied mathematics. His work in mathematical crystallography explores nanostructure design principles using computational geometry approaches.

Shahrukh Atharمشاهده پروفایل

استادیار

• Image and Video Processing
• Perceptual Image Quality Assessment
• Digital Signal Processing
• +۳ مورد دیگر

Dr. Shahrukh Athar is an Assistant Professor in the Department of Electrical & Computer Engineering at McMaster University. His research focuses on perceptual image quality assessment (IQA), degraded-reference and multiply-distorted image analysis, and digital signal/video processing. He also emphasizes educational development, particularly active learning strategies and pedagogical training for colleagues and graduate students. He teaches courses such as COMPENG 2DX3 (Microprocessor Systems Project), COMPENG 2SH4 (Principles of Programming), ELECENG 2CI4 (Introduction to Electrical Engineering), and ELECENG 3CL4 (Introduction to Control Systems). His work bridges machine learning applications in IQA with practical educational methodologies. Dr. Athar's research includes developing robust no-reference IQA algorithms using deep learning and constructing large-scale datasets. He has published extensively on topics like image debanding, blind quality assessment, and FPGA-based signal processing implementations. His LinkedIn and other professional profiles highlight interdisciplinary contributions in both technical and educational domains.

• Harmonic Analysis
• Information Theory
• Signal Processing
• +۳ مورد دیگر

Sinan Gunturk is a Professor of Mathematics at the Courant Institute of Mathematical Sciences, New York University. His research focuses on harmonic analysis, information theory, and signal processing, particularly on efficient digital representations of analog signals. He holds a Ph.D. in Applied and Computational Mathematics from Princeton University (2000) and a B.S. in Mathematics and Electrical Engineering from Bogazici University, Turkey (1996). His work bridges sampling theory and quantization, with notable contributions to sigma-delta modulation and compressive sensing. He has held academic roles at NYU since 2001, including Director of Graduate Studies in the Mathematics Department. Gunturk is a recipient of the Alfred P. Sloan Research Fellowship (2006) and the Monroe H. Martin Prize (2005). His publications emphasize quantization theory, sparse recovery, and signal reconstruction, often addressing practical applications in digital signal processing. He has organized major conferences like SampTA 2009 and contributed to editorial boards of journals such as Foundations and Trends in Signal Processing .

• RF ICs
• Compact Modelling
• Semiconductor Devices
• +۵ مورد دیگر

Kevin McCarthy is a Lecturer in the Department of Electrical & Electronic Engineering at University College Cork (UCC). He holds a B.E., M.Eng.Sc., and Ph.D., all from UCC. His primary research interests include RF ICs, semiconductor devices, and compact modeling for microelectronic applications. McCarthy has contributed to EU projects like JLP and ACE, focusing on advanced CMOS processes and device modeling for yield enhancement. He has served on technical committees for conferences like ESSDERC and organized the IEEE International Conference on Microelectronic Test Structures in 2002. His work spans device characterization, microwave techniques for dielectric analysis, and energy-efficient power electronics. McCarthy has authored numerous peer-reviewed publications and holds grants for projects like SwiftDriver and NUA. He teaches courses in RF design, power electronics, and telecommunications, emphasizing hands-on education.

• Energy Harvesting
• Low-Power Integrated Circuit Design
• Miniature System Design
• +۳ مورد دیگر

Hee Lee is an Assistant Professor at the University of Pittsburgh's Department of Electrical and Computer Engineering. His research focuses on energy harvesting, low-power integrated circuits, miniature system design, and battery management. He holds a Ph.D. from the University of Michigan (2014) and M.S./B.S. degrees from Yonsei University (2007/2005). Research Interests: Design of ultra-low-power analog/mixed-signal circuits for IoT and biomedical applications Energy-autonomous systems using photovoltaic, piezoelectric, and biofuel-based harvesting Miniaturized sensor nodes with embedded neural network accelerators Recent work emphasizes hybrid timestamping circuits (2025), subthreshold voltage references (2024-2025), and mm-scale neural accelerators (2023). His publications span IEEE journals and conferences like ISSCC, JSSC, and VLSI Symposia. Patents include innovations in voltage references and energy harvesting interfaces. He has developed systems like the mSAIL platform for monarch butterfly tracking and implantable IOP monitors. Lab activities involve collaboration with Michigan's Blaauw/Sylvester group on projects like System-on-Mud oceanic sensors and millimeter-scale biofuel-powered devices. Current research explores high-temperature IoT systems and neuromorphic hardware accelerators.

• Digital Signal Processing
• FPGA Design
• Telecommunications
• +۷ مورد دیگر

Небојша Пјевалица is a Regular Professor at the Department of Computer Communications, Faculty of Technical Sciences, University of Novi Sad. He holds a BSc in Electrical Engineering (Electronics and Telecommunications) from the same faculty (1995) and an MSc in Digital Signal Processing (2000). Since 1997, he has been employed at the Faculty, starting as an assistant and advancing to his current position. His research focuses on FPGA design, embedded systems, and automotive technologies. Notable projects include work on ADC converters with phase-locked loops, arithmetic processors for Sigma-Delta modulators, and automotive communication systems. Education: BSc (1995), MSc (2000) Research interests include digital signal processing, FPGA-based embedded solutions, and advanced communication protocols. He collaborated with NASA on engineering education projects and RT-RK Institute on FPGA design. His industry projects span automotive electronics, sensor systems, and motor control applications. Grants/Projects: Multiple national science ministry projects and industry collaborations in automotive and communication sectors. Labs/Teams: Active contributor to the RT-RK Research Institute’s FPGA design initiatives.

• Analog Integrated Circuit Design
• Behavioral Modeling of Mixed-Signal Systems
• Nanoscale Transistor Modeling
• +۳ مورد دیگر

Trond Ytterdal is a Professor at the Department of Electronics and Telecommunications, Norwegian University of Science and Technology (NTNU), Faculty of Information Technology and Electrical Engineering. His research focuses on analog integrated circuits, mixed-signal systems, and nanoscale transistor modeling for THz applications. Fields of Interest: Analog circuit design, THz technology, and semiconductor device modeling. Affiliation: Centre for Innovative Ultrasound Solutions (CIUS), NTNU. Research Trends: Over the past five years, Ytterdal’s work has centered on ultra-low-voltage circuits (e.g., sub-100mV designs), THz spectrometers using TeraFET and GNRFET technologies, and noise/power optimization in nanoscale devices. His publications also explore memristor crossbar arrays, Josephson junction integration, and energy-efficient memory systems. Scientific Recognition: Senior Member of IEEE Member of The Norwegian Academy of Technological Sciences Collaborations: Regularly co-authors with researchers at Rensselaer Polytechnic Institute and industry experts in semiconductor modeling.

Eckhard Hennigمشاهده پروفایل

استاد

• Digital Circuit Design
• Low-Power CMOS Technology
• Integrated Sensors
• +۴ مورد دیگر

Eckhard Hennig is a Professor in the Department of Electronics & Drives at Reutlingen University, specializing in digital circuit design, low-power systems, and power electronics. His work bridges academic research and industrial application, with a focus on robust multisensor systems and technical origami for engineering. Education: Dipl.-Ing. in Electrical Engineering (1994, TU Braunschweig), Dr.-Ing. (2000, TU Kaiserslautern) Professional History: Researcher at University of Kaiserslautern (1995), Fraunhofer ITWM (1996–2000), Infineon Technologies AG (2000–2008), IMMS Institute (2008–2015) His research interests include low-power CMOS technology , delta-sigma modulation , and heterogeneous system modeling , with applications in energy-efficient systems and sensor networks. Recent publications emphasize adaptive modulation techniques , GaN-based power devices , and temporal decoupling for circuit stability. He leads projects like RoMulus (robust multisensor systems) and ZEBRA (technical origami) and contributes to interdisciplinary initiatives in hearing diagnostics and energy systems. His teaching includes courses on digital electronics, mixed-signal circuit design , and system modeling , with hands-on labs in FPGA/ASIC design and GaN device optimization. He works in the Digital Circuit Technology Lab, focusing on verification, heterogeneous simulation, and industry 4.0 sensor systems.

Gernot Schullerusمشاهده پروفایل

استاد

• Electrical Drives
• Power Electronics
• Motion Control
• +۷ مورد دیگر

Prof. Dr.-Ing. Gernot Schullerus is a W2-Professor for Electrical Drives at the Faculty of Engineering, Reutlingen University, where he has been employed since September 2010. He currently serves as the Collegial Head of the Electronics & Drives Research and Teaching Center since March 2023 and will assume the scientific leadership of the Reutlingen Research Institute starting September 2024. His office is located in Building 2, Room 018, and his office hours are Tuesdays from 8:00 to 9:00 AM. Professor Schullerus completed his doctorate at the University of Karlsruhe (TH) in 2004. His academic and professional journey includes: 2004: PhD (Dr.-Ing.) at University of Karlsruhe (TH) January 2004 - August 2010: Development Engineer, Electronics Development, SEW-EURODRIVE, Bruchsal September 2010 - present: W2-Professor for Electrical Drives, Faculty of Engineering, Reutlingen University March 2023 - present: Collegial Head of the Electronics & Drives Research and Teaching Center September 2024 - present: Collegial Scientific Head of the Reutlingen Research Institute Professor Schullerus specializes in electrical drive technology and power electronics. His research focuses on new motor concepts, particularly harmonically excited synchronous machines, power electronic components for drive applications, and inverters using gallium nitride power switches. He investigates sensorless operation of switched reluctance machines and energy-efficient control of rotating field machines. His work extends to condition monitoring and predictive maintenance in drive systems, with recent emphasis on green hydrogen production and flexible hydrogen logistics. The Reutlingen Research Institute under his leadership explores decentralized energy systems and energy efficiency. His recent publications demonstrate a strong focus on power electronics innovations, particularly with gallium nitride technology, and applications in energy systems. Key trends include advanced modulation techniques for power converters, optimization of PCB layouts for high-power applications, and the integration of renewable energy with hydrogen production systems. His work bridges theoretical control concepts with practical industrial applications, particularly in drive systems and energy conversion. Professor Schullerus leads the Electronics & Drives research group at Reutlingen University, which is actively involved in multiple research projects. Current projects include CleMoSy (Clean Motor Supply), Trusted Handling (Predictive Maintenance for roller chains), H2FLEX (Flexible Interoperable Hydrogen Logistics), and the Model Region Green Hydrogen: Lighthouse H2-Grid (Networking decentralized hydrogen production and consumption). Previously, he has led projects on modular scalable power electronics based on gallium nitride components, dynamically energy-efficient operation of induction machines, and model-based hierarchical condition monitoring. His laboratory facilities include the Electrical Drives Laboratory and the Laboratory for Control and Drive Technology, where his team focuses on optimal control/regulation and diagnosis of drive and grid converters. The research environment supports both fundamental investigations and applied industrial projects, with strong connections to industry partners in the drive technology sector.

Tina Hudsonمشاهده پروفایل

استاد

• Analog and Digital Systems
• Electronic Device Modeling
• Test and Product Engineering
• +۴ مورد دیگر

Tina Hudson is a Professor of Electrical and Computer Engineering at Rose-Hulman Institute of Technology , specializing in analog/digital systems, electronic device modeling, and engineering education. With a Ph.D. from Georgia Institute of Technology (2000), she focuses on curriculum innovation, critical thinking pedagogy, and industry collaboration. Education : Ph.D. (2000), MSEE (1995), BEE (1992) from Georgia Tech; BS in Engineering from Berry College (1992). Research Interests span test and product engineering for analog/mixed-signal circuits, behavioral analysis in analog circuit education, and integrated circuits emulating neural systems. Her work emphasizes industrial partnerships and pedagogical research. Publication Trends include engineering education methodologies (2014-2008), industry-driven curriculum design (2009), and analog/digital hybrid systems (2009-2006). Key subfields: pedagogical innovation, industrial testing, neural emulation, and hysteresis control. Scientific Awards : Dean’s Outstanding Teacher Award (2014). Teaching & Industry Engagement : Develops curricula for test engineering, conducts workshops for pedagogical research, and collaborates with Teradyne, Micron, and Texas Instruments to enhance student internships and lab resources.