جستجوی استاد راهنمای دانشگاهی

Eva Kosekمشاهده پروفایل

استاد

• Chronic Pain Research
• Neuroimmunology
• Musculoskeletal Disorders
• +۳ مورد دیگر

Professor Eva Kosek holds dual academic positions as Professor of Clinical Pain Research at Karolinska Institutet (since 2015) and Uppsala University (since 2020). She is affiliated with the Department of Clinical Neuroscience and leads the Mechanisms of Pain and Treatment Research Group . Her roles include senior consultant at Uppsala University Hospital's Pain Center. Education: MD from Uppsala University (1986), PhD from Karolinska Institutet (1996). Specializations: Rehabilitation Medicine (1998), Pain Relief (2001). Academic promotions: Associate Professor at Karolinska (2004), Full Professor (2015). Research Focus: Chronic pain mechanisms, neuroimmune interactions, fibromyalgia, and autoimmune pathways. Key projects include the RAFT trial (Rituximab for fibromyalgia autoantibody therapy) and the BACPAP consortium for low back pain phenotyping. She chairs IASP's Terminology Task Force, introducing the 'nociplastic pain' concept. Key Contributions: Discovered anti-satellite glial cell IgG antibodies in fibromyalgia patients, linked to symptom severity. Pioneered neuroimaging studies on pain modulation circuits. Authored over 300 publications, with recent work on cerebrospinal fluid biomarkers and lipid metabolite profiles. Awards: 2024 Roland Melzack Lecture Award from IASP. Recognized for redefining pain taxonomy and translational research. Grants: Active funding includes Swedish Research Council grants on fibromyalgia autoimmunity, environmental exposures, and neuroinflammation. Total grants exceed SEK 100M over her career. Labs/Teams: Leads a multidisciplinary team at Karolinska's Pain Research Center, collaborating internationally on translational pain studies. Active in biobanking initiatives like the Swedish Chronic Pain Biobank.

Matthew W. Buczynskiمشاهده پروفایل

استادیار

• Neuroscience
• Drug Addiction
• Pharmacology
• +۳ مورد دیگر

Matthew W. Buczynski is an Assistant Professor at the School of Neuroscience , part of the College of Science at Virginia Tech . Holding a Ph.D. in Biochemistry from the University of California San Diego (2008) and postdoctoral training at The Scripps Research Institute (2009-2016), he joined Virginia Tech in August 2016 after completing his postdoctoral fellowship. Education: B.S. in Chemistry, University of Michigan , 2001 Ph.D. in Biochemistry, University of California San Diego , 2008 Postdoctoral Training, The Scripps Research Institute , 2009-2016 Dr. Buczynski’s research program focuses on identifying novel druggable targets for addiction and neurological disorders through mass spectrometry and behavioral pharmacology . His work integrates chemical biology , molecular pharmacology , and in vivo microdialysis to study molecular changes in the brain during chronic drug exposure. Key areas include nicotine dependence , ethanol withdrawal , and cross-talk between pain and addiction mechanisms. His recent publications highlight endocannabinoid system modulation , TRPV1/TRPA1 receptor activation in pain, and diacylglycerol lipase (DAGL) mechanisms in nicotine withdrawal. He employs both self-administration and forced exposure models to validate therapeutic targets. Prospective students can contact him directly through his lab’s website .

Jennifer Pfeiferمشاهده پروفایل

استاد

• Developmental Cognitive Neuroscience
• Adolescence
• Puberty
• +۱۰ مورد دیگر

Jennifer Pfeifer is a Professor at the University of Oregon and co-Director of the Center for Translational Neuroscience within the College of Arts and Sciences, Department of Psychology. Her research spans developmental cognitive neuroscience, focusing on adolescence, puberty, self-concept, social cognition, emotion, motivation, and mental health. Her work integrates neuroimaging with behavioral and hormonal data to examine normative and atypical brain development, particularly how social processes and early adversity influence neurobiological models of adolescence. She has secured funding from NIMH, NICHD, NIDA, NSF, and other institutions. Recent publications analyze adolescent social reorientation, pubertal timing, self-disclosure mechanisms, and affective reactivity. Awards and student lists are not explicitly mentioned in the provided text. Her lab emphasizes translational neuroscience applications for mental health prevention and well-being promotion across the lifespan.

Mahesh Tripunitaraمشاهده پروفایل

استاد

• Information Security
• Authorization and Access Control
• Cryptographic Key Transport
• +۷ مورد دیگر

Dr. Mahesh Tripunitara is a Professor in the Department of Electrical and Computer Engineering at the University of Waterloo, serving as Associate Chair for Undergraduate Studies. He holds a PhD (2005) and Master's (1995) in Computer Science from Purdue University, along with a BSc (1993) in Computer Science from Dalhousie University. His research focuses on information security, authorization mechanisms, cryptographic key management, and hardware security, with industry experience at Motorola's R&D labs and Silicon Valley. His work spans theoretical advancements like access control policy analysis and practical applications such as secure payments systems and IoT device reliability. Notable awards include the Best Student Paper at Usenix Security 2013 and Best Paper at ACM SACMAT 2013. He actively serves on program committees for major security conferences including CCS, CODASPY, and SACMAT. Recent publications highlight innovations in cellular security (SUCI-Catchers defense), role-mining optimization, and blockchain smart contract auditing. Teaching includes advanced algorithm design courses (ECE 406/606) and digital computation (BME 121). His research emphasizes balancing security rigor with usability in authorization systems and hardware protection mechanisms.

• RF IC Design
• Mixed-Signal IC Design
• Wireless Communication Systems
• +۴ مورد دیگر

Bertan Bakkaloglu is the On Semiconductor Professor in the School of Electrical, Computer and Energy Engineering at Arizona State University (ASU), where he has been since 2004. Prior to ASU, he worked at Texas Instruments focusing on analog, mixed-signal, and RF SoC development for communication transceivers. His research expertise spans RF and mixed-signal IC design, wireless/wireline communication systems, and broadband communication systems. Education: Ph.D. in Electrical Engineering, Oregon State University (1995) M.S.C. in Electrical Engineering, University of Houston (1992) Research Interests: RF and mixed-signal integrated circuits Power management ICs (including LDO regulators and DC-DC converters) High-efficiency power delivery systems Radiation-hardened electronics for space applications MEMS-based sensor systems Biomedical circuits for implantable devices Grants & Collaborations: Over 40+ funded research projects with institutions like NASA/JPL, BAE Systems, and NSF, focusing on power electronics, space systems, and biomedical applications Key projects include radiation-hardened converters, self-calibrating DACs, and implantable medical device circuits Industry partnerships with Texas Instruments, Space Micro, and FLIR Professional Activities: Technical committee member for IEEE Radio Frequency Integrated Circuits Conference Founding chair of IEEE Solid-State Circuits Society Phoenix Chapter

Eby G. Friedmanمشاهده پروفایل

استاد

• VLSI Design
• Integrated Circuit Design
• Low Power CMOS
• +۴ مورد دیگر

Eby G. Friedman is a Professor in the Department of Electrical and Computer Engineering at the University of Rochester, where he has served since 1991 as director of the High Performance VLSI/IC Design and Analysis Laboratory. He concurrently holds a visiting professor position at the Technion - Israel Institute of Technology, directing the Technion Advanced Circuits Research Center (ACRC). His research specializes in high performance synchronous digital and mixed-signal microelectronic design with applications in high-speed portable processors and low-power wireless communications. Core focus areas include CMOS circuit design, clock/power distribution networks, interconnect synthesis, substrate noise mitigation, pipelining techniques, and 3-D integration methodologies. His work bridges theoretical frameworks with practical implementations in VLSI systems. Scientific Awards and Honors IEEE Fellow Distinguished Lecturer of the IEEE CAS Society Dr. Friedman has authored or edited 16 books and nearly 500 publications, establishing foundational contributions in clock distribution and power delivery networks. He maintains significant editorial leadership as Editor-in-Chief of the Microelectronics Journal, past Editor-in-Chief of IEEE Transactions on VLSI Systems, and serves on the editorial boards of the Journal of Low Power Electronics, Journal of VLSI Signal Processing, Journal of Low Power Application and Circuits, and Proceedings of the IEEE. His laboratory directs cutting-edge research in high-speed circuit design and 3-D integration architectures.

• Battery simulation
• Cyber physical system
• Design simulation
• +۱۲ مورد دیگر

Sara Vinco is an Associate Professor at the Department of Control and Computer Engineering (DAUIN), Politecnico di Torino, Italy. She specializes in battery simulation, digital twins, and energy-efficient design automation for heterogeneous embedded systems, aligning with Industrial and Information Engineering (Area 0009) and ERC sectors including Computer Architecture and Machine Learning . Her research focuses on advancing cyber-physical systems through simulation frameworks like SystemC-AMS, enabling holistic modeling of analog, digital, and thermal domains. Key projects include data-driven digital twins for EV batteries and low-area digital circuits in industrial/medical applications, supported by commercial contracts such as C-based virtual prototyping. Her recent publications (2022-2023) emphasize machine learning for battery SOH/SOC estimation , energy monitoring in production lines , and multi-domain fault modeling . These works span journals like IEEE Transactions and conferences including DATE and ISLPED. Awarded the FFABR 2017 grant and IEEE FDL Best Paper Award 2011 , she also chairs editorial boards for IEEE Transactions on CAD and DATE Conference. She supervises PhD students Giovanni Pollo (Digital Circuits) and Khaled Alamin (EV Battery Twins), reflecting her leadership in smart systems design.

John D. Cresslerمشاهده پروفایل

استاد

• Silicon-Germanium Heterojunction Bipolar Transistors (SiGe HBT)
• Mixed-Signal Semiconductor Devices
• RF and Microwave Circuit Design
• +۵ مورد دیگر

Professor John D. Cressler is a tenured faculty member at the Georgia Institute of Technology, holding a position within the School of Electrical and Computer Engineering in the College of Engineering. His research focuses on cutting-edge semiconductor technologies, particularly silicon-germanium heterojunction bipolar transistors (SiGe HBTs) for mixed-signal applications spanning RF, microwave, mm-wave, analog, and digital domains. His research interests center on atomic-scale bandgap engineering for next-generation semiconductor devices, with emphasis on SiGe HBT technology development, radiation-hardened circuits for space applications, cryogenic electronics, and device-circuit interactions. His team explores fundamental device theory, broadband noise analysis, profile optimization, 2-D/3-D simulation, compact modeling, and radiation effects. Current projects include Europa-surface mission electronics, D-band/sub-THz systems, and radiation-tolerant receiver designs. Analysis of his 15 most recent publications (2024-2025) reveals a dominant focus on radiation-hardened electronics for space applications (40% of works), millimeter-wave circuit design (30%), and SiGe HBT reliability optimization (30%). Key trends include Europa mission electronics development, D-band/sub-THz circuit innovation, and advanced radiation mitigation techniques using SiGe BiCMOS technology. Professor Cressler teaches multiple courses including ECE 3040 (Microelectronic Circuits), ECE 3450 (Semiconductor Devices), ECE 6444 (Silicon-Based Heterostructure Devices and Circuits), and the interdisciplinary IAC 2002 course on Science, Engineering and Religion. His research is supported by industrial collaborations and Georgia Tech facilities including the Georgia Electronic Design Center (GEDC), NanoTECH, and C-STAR.

• High Voltage Direct Current (HVDC) Transmission
• DC Transmission Grids
• High Power Electronics
• +۴ مورد دیگر

Professor Dragan Jovcic is the Chair in Engineering at the University of Aberdeen's School of Engineering , where he has been a faculty member since 2004 and a full professor since 2012. Concurrently he serves as Director of the Aberdeen HVDC Research Centre , a role he has held since 2015. Education: PhD in Electrical Engineering, University of Auckland, 1999 Diploma Engineer in Control Systems, University of Belgrade, 1993 Postgraduate Certificate in University Teaching, University of Ulster, 2003 Research Interests: Professor Jovcic’s research centres on high-power electronics and HVDC transmission systems , with particular emphasis on the development of DC transmission grids that will enable large-scale integration of offshore wind energy . His work spans DC/DC converters , DC circuit breakers , modular multilevel converters (MMC) , flexible AC transmission systems (FACTS) , and advanced power system modelling and control . The overarching goal is to underpin the transition from fossil-fuel generation to renewable-dominated power systems, especially in the North Sea and European contexts. Publication Trends: Recent publications (2020-2023) reveal a strong focus on DC protection technologies —notably circuit breakers and energy absorbers—and on modelling methodologies for HVDC grids and offshore wind integration. The works address both theoretical advances (phasor and state-space models) and experimental validation (kV-level prototypes), reflecting a balanced portfolio of fundamental research and practical demonstration. Scientific Awards & Recognition: IEEE Fellow (2021) IEEE PES Distinguished Lecturer (since 2015) IET Fellow (2019) and Chartered Engineer (2018) Research Funding & Supervision: With over £5.5 million in external research income, Professor Jovcic is principal investigator or work-package leader on numerous EU Horizon Europe and EPSRC projects. He has supervised 9 PhDs to completion and is currently mentoring 2 PhD students and 2 post-doctoral fellows . Major grants include the €35 million PROMOTioN project on multiterminal DC networks and the €4 million MoWiLife project on wide-bandgap power electronics. Laboratory & Facilities: The Aberdeen HVDC Research Centre hosts a 0.9 kV DC grid demonstrator , 30 kW thyristor- and IGBT-based DC/DC converters , and 5 kV, 2 kA DC circuit breaker test benches , providing a world-class platform for experimental research and student training.

Robert M. Weikle, IIمشاهده پروفایل

استاد

• Millimeter-wave electronics
• Terahertz technology
• Applied electromagnetics
• +۹ مورد دیگر

Robert M. Weikle, II is a Professor in the Charles L. Brown Department of Electrical and Computer Engineering at the University of Virginia, with a courtesy appointment in the Department of Physics. He earned his B.S. from Rice University (1986), M.S. (1987), and Ph.D. (1992) in Electrical Engineering from Caltech, followed by postdoctoral work at Chalmers University of Technology (1992). His research focuses on millimeter-wave and terahertz electronics , applied electromagnetics, integrated antennas, low-noise sensors, and heterogeneous integration of compound semiconductors. His work bridges electronics and photonics for spectrum access, with applications in astronomy, spectroscopy, and metrology. He has published extensively on micromachined silicon substrates, superconducting materials, and emerging technologies. Scientific Awards: IEEE Microwave Prize (1993) David A. Harrison III Award (1999) University of Virginia All-University Outstanding Teaching Award (2000) Edlich-Henderson Innovator of the Year (2016) Fulbright Scholar (2001) As Chief Technology Officer and co-founder of Dominion Microprobes, Inc., he commercializes micromachined wafer probes for high-frequency metrology. His lab, located in E220 Thornton Hall and the Jesse W. Beams Physics Building, has produced 15+ recent publications on submillimeter-wave devices, THz probes, and calibration techniques.

Gireeja Ranadeمشاهده پروفایل

استادیار

• Control Theory
• Information Theory
• Wireless Communication
• +۵ مورد دیگر

Gireeja Ranade is an Assistant Teaching Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. She previously served as a Researcher at Microsoft Research AI in the Adaptive Systems and Interaction Group. Her educational background includes a PhD in Electrical Engineering and Computer Science from UC Berkeley and an undergraduate degree from MIT. Research Focus Prof. Ranade's research spans control theory, information theory, and machine learning, with applications in wireless communication, algorithmic fairness, and misinformation analysis. Her work addresses fundamental challenges in system stabilization under uncertainty, real-time control optimization, and equitable resource allocation. She maintains strong collaborations across disciplines, resulting in publications at premier venues like IEEE Transactions on Automatic Control, PNAS, and The Web Conference. Her recent publications demonstrate a consistent focus on robustness in control systems, fairness in algorithmic decision-making, and analysis of information propagation in online ecosystems. The work frequently combines theoretical rigor with practical implementations in robotics, networking, and social systems. Awards and Recognition 2017 UC Berkeley Electrical Engineering Award for Outstanding Teaching 2020 UC Berkeley Award for Extraordinary Teaching in Extraordinary Times Academic Leadership Prof. Ranade leads a dynamic research group including PhD candidates, master's students, and undergraduates. She has advised over 25 students on projects ranging from neural network controllers to fairness metrics in resource allocation. She founded the CalMentors program, which connects UC Berkeley students with K-12 learners for tutoring support during the COVID-19 pandemic. Educational Innovation She co-designed and teaches UC Berkeley's introductory EECS 16A/B sequence, integrating linear algebra with applications in machine learning and circuit design. She has also developed courses on optimization (EECS127/227A) and data science (Data 102), with publicly available lecture videos demonstrating her teaching methodology.

• Array Antennas
• Millimeter-Wave Communication
• Antenna Integration with Electronics
• +۴ مورد دیگر

Marianna Ivashina is a Professor and Head of the Antenna Systems Research Group at Chalmers University of Technology's Department of Electrical Engineering . Her work focuses on array antennas , antenna integration with electronics , optimal beamforming , and over-the-air measurement methods . The group has achieved international recognition for innovations in ultra-wideband (UWB) feeds , Gap waveguide antennas , and Doherty-power-amplifier-integrated antennas for 5G/6G and radio telescope applications. Key projects include the SSF Sweden-Taiwan collaboration , EU Horizon 2020 MyWave , and VINNOVA ENERGETIC initiatives. Her recent publications emphasize millimeter-wave (mmWave) communication and reconfigurable intelligent surfaces (RIS) , with applications in 5G/6G networks , satellite communication (SatCom) , and advanced antenna testing chambers . She explores beamforming optimization , self-interference mitigation , and hybrid OTA environments to enhance wireless system performance. The group's work bridges theoretical advancements with practical implementations, including RFSoC testbeds and high-efficiency antenna arrays . Marianna leads major research programs funded by Ericsson , VINNOVA , and EUREKA EURIPIDES2 , addressing challenges in beamforming , antenna-IC integration , and automated design for 5G/6G . These projects highlight her role in advancing millimeter-wave communication and sensor integration technologies.

Nicola Nicoliciمشاهده پروفایل

استاد

• Digital Integrated Circuit Design
• Hardware Testing
• Post-Silicon Validation
• +۷ مورد دیگر

Nicola Nicolici is a Professor in the Department of Electrical and Computer Engineering at McMaster University. His research focuses on methods and algorithms for the design of digital integrated circuits and systems, with significant contributions in manufacturing test, post-silicon validation and debug. His work has expanded to include embedded systems, low-energy computing, and custom hardware-accelerated computing systems. Professor Nicolici's research interests span multiple areas of digital system design and validation. His early work focused on manufacturing test methodologies and power-aware testing strategies for integrated circuits. More recently, he has made significant contributions to post-silicon validation techniques, including constrained-random stimuli generation, trace signal selection, and bit-flip detection. His research has evolved to address emerging challenges in embedded computing systems, low-energy design, and specialized hardware acceleration for various applications including deep neural networks and signal processing. His recent publications reveal a strong trend toward hardware acceleration for specialized computing tasks. The research spans matrix multiplication algorithms (Strassen and Karatsuba), memory system optimization (DDR5 calibration), FPGA-based radar processing, and neural network acceleration. His work consistently bridges theoretical algorithm development with practical hardware implementation considerations, particularly focusing on precision analysis, fault tolerance, and energy efficiency. The research demonstrates a clear progression from traditional digital circuit testing to more complex system-level validation and acceleration techniques. Professor Nicolici has been actively involved in teaching courses related to system-on-chip design and test, digital systems, and embedded systems. His teaching portfolio includes advanced courses such as System-on-Chip (SOC) Design and Test and Digital Systems Design , reflecting his expertise in the field. While specific grant information isn't detailed in the provided text, his extensive publication record suggests ongoing research funding support. His research has contributed significantly to the fields of digital circuit testing, post-silicon validation, and hardware acceleration. The work has practical applications in semiconductor manufacturing, embedded systems design, and specialized computing architectures. His recent focus on neural network acceleration and memory system optimization reflects the evolving landscape of computer architecture research.

Inna Fishmanمشاهده پروفایل

دانشیار

• Autism Spectrum Disorders
• Developmental Neuroscience
• Brain Imaging
• +۳ مورد دیگر

Inna Fishman, Ph.D., is a Research Associate Professor at San Diego State University's Department of Psychology within the College of Sciences. Her research investigates brain network organization in autism spectrum disorder (ASD) using multimodal MRI techniques, focusing on developmental trajectories from toddlerhood to adulthood. She directs studies on sensory processing, socioeconomic influences, and neural connectivity patterns in ASD. Research Focus: Dr. Fishman's work bridges social neuroscience and clinical neuropsychology, examining: Early biomarkers of ASD via functional/diffusion MRI Impact of bilingualism and socioeconomic factors on neurodevelopment Sleep disorders and sensory sensitivities in autistic children Aging-related neural changes in adults with ASD Publication Trends: Her recent articles (2021-2025) emphasize: 1) Advanced neuroimaging of ASD across lifespan stages, 2) Machine learning applications for diagnostics, 3) Socioeconomic and environmental modulators of brain development, and 4) Sleep/auditory processing comorbidities. Student Advising & Grants: She mentors doctoral candidates (Lindsay Olson, Jiwandeep Kohli, Bosi Chen) and leads NIH-funded projects including a clinical psychology fellowship for autism evaluation across ages. Laboratory Affiliation: Dr. Fishman co-directs the Brain Development Imaging Laboratories (BDIL), which investigates ASD manifestations through behavioral and neuroimaging approaches.

Sara Nabilمشاهده پروفایل

استادیار

• Human-Computer Interaction (HCI)
• E-Textiles
• Smart Materials
• +۳ مورد دیگر

Sara Nabil is an Assistant Professor at Queen's University's School of Computing within the Faculty of Arts and Science. She leads the HCI Design Studio and previously held a postdoctoral position at Carleton University's Creative Interactions Lab. Her research focuses on integrating interior design, fashion, and product design with interactive technologies, emphasizing e-textiles, smart materials, and shape-changing interfaces. She holds a PhD from Newcastle University and prior experience as an HCI Lecturer, interior designer, and senior software developer. Education: PhD in Computing, Newcastle University (2019) MSc in Computing BSc in Computing Research interests include designing computational spaces, wearable technology, and e-textile interactions. Her work explores sustainable fabrication methods, user-centered design for smart environments, and bridging traditional crafts with digital technologies. Notable projects include exhibitions like 'Living with Adaptive Architecture' and 'Persuasive Pharmacy Space,' showcasing interactive wearables and spaces. Her recent articles (2023–2025) emphasize e-textile innovations, sustainable design, and human-building interactions. Key themes include smart materials in fashion, modular wearables, and community-driven interaction systems. Awards: None explicitly mentioned. Advising/Grants: No details provided. Labs/Teams: Head of HCI Design Studio and part of iStudio Lab, focusing on interioraction design.