جست‌وجوی استاد و پژوهشگر

Muhannad S. Bakirمشاهده پروفایل

استاد

• Heterogeneous Integration
• Electrical and Photonic Interconnects
• Thermal Modeling for Electronics
• +۳ مورد دیگر

Muhannad S. Bakir is the Dan Fielder Professor in the School of Electrical and Computer Engineering at Georgia Institute of Technology, and Director of the 3D Systems Packaging Research Center . His research focuses on heterogeneous integration , electrical/photonic interconnects , thermal modeling , and electronics for healthcare , with over 180 publications and 12 U.S. patents. Research areas include: Advanced cooling and power delivery for emerging systems Biosensor-CMOS integration 2.5D/3D IC packaging Polylithic integration technology Nanofabrication for microsystems Scientific accolades include: 2018 IEEE EPS Exceptional Technical Achievement Award 2013 Intel Early Career Faculty Honor Award 2012 DARPA Young Faculty Award 2011 IEEE CPMT Outstanding Young Engineer Award Best paper awards at IEEE ECTC, IITC, and CICC 2020 Georgia Tech Doctoral Thesis Advisor Award His lab explores integrated 3D systems with emphasis on co-design of thermal, power, and electrical networks for machine learning and healthcare applications.

Mahadev Satyanarayananمشاهده پروفایل

استاد

• Mobile and Pervasive Computing
• Distributed Systems
• Security and Privacy
• +۲ مورد دیگر

Mahadev Satyanarayanan is the Jaime Carbonell University Professor of Computer Science at Carnegie Mellon University. His multi-decade research focuses on performance, scalability, availability, and trust in distributed systems spanning cloud to mobile edge computing. He pioneered foundational concepts in mobile computing and Edge Computing through his seminal work on VM-based cloudlets. His current research explores cloudlet-based Edge Computing for latency-sensitive applications, wearable cognitive assistance systems integrating augmented reality, and edge-based machine learning frameworks for efficient training data discovery. He collaborates with Dan Siewiorek, Martial Hebert, and Bobby Klatzky on transformative applications. Dr. Satyanarayanan received his PhD from Carnegie Mellon University after completing Bachelor's and Master's degrees at the Indian Institute of Technology, Madras. His honors include ACM and IEEE Fellowships recognizing his contributions to distributed systems and mobile computing. ACM Fellow IEEE Fellow

Fred A. Kishمشاهده پروفایل

استاد

• Photonics
• Optoelectronic Devices
• Compound Semiconductor Materials
• +۳ مورد دیگر

Fred A. Kish is the MC Dean Distinguished Professor and Director of the NC State Nanofabrication Facility at North Carolina State University. He holds a Ph.D. in Electrical Engineering from the University of Illinois at Urbana-Champaign (1992). His research focuses on Photonics, Optoelectronic Devices, and Compound Semiconductor Materials , with emphasis on photonic integrated circuits (PICs), quantum information science, and semiconductor material engineering. He has co-invented foundational technologies for LEDs, VCSELs, and large-scale PICs, contributing over $7B in commercialized products. His leadership includes roles at Hewlett-Packard, Agilent Technologies, and Infinera Corporation, where he pioneered optical communication systems. Dr. Kish is a Fellow of the National Academy of Inventors, Optica, and IEEE, and a member of the National Academy of Engineering. His awards include the IEEE David Sarnoff Award and the John S. Risley Entrepreneur of the Year Award. He has authored 170+ peer-reviewed publications, 135+ patents, and 5 book chapters. His current work drives advancements in wide bandgap semiconductors and photonic integration for next-generation communications and sensors. Labs/Teams: Directs the NC State Nanofabrication Facility, a hub for semiconductor innovation. Collaborates on the CLAWS Hub, a $39.4M CHIPS Act-funded regional semiconductor innovation initiative.

Christopher T. Middlebrookمشاهده پروفایل

استاد

• Integrated Optical Devices
• Electronic Substrate Manufacturing
• Photonics
• +۳ مورد دیگر

Christopher T. Middlebrook is a Professor of Electrical and Computer Engineering at Michigan Technological University (MTU), with an affiliated appointment in the Physics department. He holds a visiting faculty research engineer position at Scientific Applications International Corporation (SAIC) supporting the DoD Executive Agent for Printed Circuits and has served as visiting faculty at the Naval Surface Warfare Center Crane (2016–2020). His expertise spans integrated optical devices, electronic substrate manufacturing, and photonics. Middlebrook leads the Plexus Innovation Laboratory, a campus electronics maker space, and has pioneered PCB fabrication education through courses and media contributions. Education: PhD in Optics from the University of Central Florida, MS in Applied Optics from Rose-Hulman Institute of Technology, and BS in Electrical Engineering from MTU. His research focuses on electro-optic polymers, optoelectronic integration, and advanced manufacturing techniques. He has published 49 papers, holds two patents, and secured grants totaling over $970K, including the Michigan Economic Development Corporation-funded 'Back-End Semiconductor Curriculum' initiative (2024). Research highlights include developing UV resin printer methods for PCB prototyping, optimizing polymer waveguides, and advancing quantum communication technologies. Awards include the HKN Professor of the Year (multiple years), Michigan Tech Graduate Mentor Award, and IPC Carano Teacher Excellence Award. His work bridges academia and industry, emphasizing hands-on learning and innovation. Key Grants: Back-End Semiconductor Curriculum for Advanced Substrates: $970K (2024) Mesosphere Observation Mission (MOMBO): $38K (2022–2023) Labs/Teams: Plexus Innovation Lab, MTU's Electronics Maker Space Courses Taught: EE2230 PCB Fabrication, EE3190 Optical Sensing, EE5500 Stochastic Processes, and 15+ others emphasizing photonics and optoelectronics.

Jane Guمشاهده پروفایل

استاد

• High Efficiency Interconnect
• Low Power Interconnect
• Millimeter-Wave Systems
• +۶ مورد دیگر

Q. Jane Gu is a Professor at the School of Electrical and Computer Engineering at Georgia Tech since September 2024, holding the Ed and Pat Joy Professorship. Previously, she was at the University of California, Davis (2012–2024) and the University of Florida (2010–2012). She earned her Ph.D. in Electrical Engineering from UCLA in 2007. Her research focuses on high-efficiency, low-power interconnects, millimeter-wave, sub-mm-wave, and terahertz integrated circuits and systems for applications in communication, radar, and imaging. Notable contributions include sub-THz resonator-based sensors, dielectric waveguide interconnect channels, and energy-efficient transmitters. Recipient of NSF CAREER Award (2013) 2015 UC Davis Outstanding Junior Faculty Award 2017 and 2018 Qualcomm Faculty Awards 2019 UC Davis Chancellor’s Fellow 2022–2023 IEEE SSCS Distinguished Lecturer Her group has garnered nine best paper awards, including top honors at the 2016, 2017, and 2020 IEEE MTT-S International Microwave Symposia. Research interests span terahertz interconnects, millimeter-wave radar systems, and integrated circuits for high-speed communication. Publications reflect advancements in sensor design, high-frequency transceivers, and phased-array systems, emphasizing energy efficiency and signal integrity.

Amir Safavi-Naeiniمشاهده پروفایل

دانشیار

• Quantum Technologies
• Photonics
• Applied Physics
• +۵ مورد دیگر

Amir Safavi-Naeini is an Associate Professor of Applied Physics at Stanford University's School of Humanities and Sciences, with a courtesy appointment in Electrical Engineering. He leads the Laboratory for Integrated Nano-Quantum Systems (LINQS), focusing on chip-scale quantum technologies at the intersection of photonics, optomechanics, and nanofabrication. Ph.D., California Institute of Technology, Applied Physics (2013) B.ASc., University of Waterloo, Electrical Engineering (2008) His research centers on quantum acoustics , optomechanical transduction , and microwave-to-optical conversion , aiming to create scalable quantum devices for sensing and communication. Recent work includes developing 2D optomechanical crystals, vacuum beam guides for quantum networks, and programmable microwave delay lines. Scientific Awards 2022 Moore Inventor Fellowship ($825,000 over 3 years) He has supervised doctoral students including Sultan Malik, Felix Mayor, Wentao Jiang, and Oliver Hitchcock, while collaborating with Caltech's Michael Roukes on quantum mass spectrometry systems. His lab acknowledges funding from NSF (CAREER, MOLINO), DARPA, DOE (Q-NEXT), NIH, Moore Foundation, Packard Foundation, and industry partners like AWS and NTT. LINQS Lab develops lithium niobate photonic circuits for quantum applications, with expertise in cryogenic optomechanics, parametric amplification, and nonlinear optical processes. Current projects include protein identification chips, quantum acoustic processors, and ultra-broadband mid-infrared generation.

Ioachim Pupezaمشاهده پروفایل

استاد

• Optical Spectroscopy
• Field-Resolved Spectroscopy
• Precision Optical Measurements
• +۶ مورد دیگر

Prof. Dr. Ioachim Pupeza serves as Group Leader in the Department of Spectroscopy/Imaging at the Leibniz Institute of Photonic Technology (Leibniz-IPHT) in Jena, Germany. His research focuses on advanced optical measurement techniques, particularly in the field of field-resolved spectroscopy and precision optical measurements. Dr. Pupeza's research interests center around optical spectroscopy with a particular emphasis on field-resolved techniques that capture the complete electric field waveform of light-matter interactions. His work spans infrared spectroscopy , molecular fingerprinting , ultrafast laser technology , and precision optical measurements . He has made significant contributions to electro-optic sampling techniques, which enable characterization of electric-field waveforms across the terahertz to visible spectral range. His research also extends to mid-infrared light generation , terahertz spintronic emitters , and cavity-enhanced spectroscopy , with applications ranging from fundamental physics to medical diagnostics. Analysis of Dr. Pupeza's recent publications reveals a strong trend toward increasingly sophisticated field-resolved spectroscopy techniques with applications in both fundamental science and practical diagnostics. His work has evolved from basic measurement techniques to applications in cancer detection through molecular fingerprinting of biofluids. A consistent theme across his publications is the pursuit of higher precision, broader bandwidth, and improved sensitivity in optical measurements, often achieving attosecond-level precision. His research bridges physics, engineering, and medical applications, demonstrating how fundamental optical advances can translate to real-world diagnostic tools. Dr. Pupeza leads the research group "Field-Resolved Optical Precision Measurement Methods" at Leibniz-IPHT, which appears to collaborate extensively with other research institutions and groups. His work involves sophisticated laser systems including high-power Yb:YAG thin-disk oscillators, femtosecond enhancement cavities, and dual-oscillator systems for precision measurements. The group's research has implications for molecular spectroscopy, medical diagnostics, and fundamental studies of light-matter interactions at the most fundamental time scales.

Ian Phillipsمشاهده پروفایل

عضو هیئت علمی

• Optical Communications
• Fiber Optics
• Raman Amplification
• +۳ مورد دیگر

Ian Phillips is a Teaching Fellow in Electronics & Computer Engineering at Aston University's College of Engineering and Physical Sciences. He specializes in optical communications, with a focus on Raman amplification, coherent transmission systems, and high data rate optical networks. His research spans topics such as ultra-wideband discrete Raman amplifiers, multi-band transmission, and nonlinear noise mitigation in fiber optic systems. Phillips holds a PhD in Optoelectronics (1998) under the supervision of Prof. I. Bennion, focusing on optical network processing using all-optical and electro-optical devices. His work emphasizes practical applications of advanced optical technologies, including experimental studies on Raman amplifier optimization, bismuth-doped fiber amplifiers, and hybrid amplifier designs for metro networks. Phillips has contributed to over 100 peer-reviewed publications and 24 datasets, often collaborating on projects involving ultra-high data rate transmission (e.g., 321 Tb/s systems) and novel signal processing techniques. His research has been funded through collaborative initiatives and leverages both experimental and numerical methods to advance optical communication systems. Notable contributions include the development of ultra-flat Raman-enhanced FOPAs, low-penalty dual-stage Raman amplifiers, and pioneering work in E-band transmission using bismuth-doped amplifiers. Phillips' expertise bridges theoretical photonics with practical system design, addressing challenges in bandwidth efficiency, signal integrity, and amplifier noise management.

Min Seong Kimمشاهده پروفایل

دانشیار

• Econometrics
• Panel Data Analysis
• Bootstrap Methods
• +۳ مورد دیگر

Min Seong Kim is an Associate Professor in the Department of Economics at the University of Connecticut, affiliated with the College of Liberal Arts and Sciences. His research focuses on econometrics, particularly panel data analysis, bootstrap methods, and cross-sectional dependence. He earned his Ph.D. in Economics from UC San Diego in 2011. His contact information includes email: min_seong.kim@uconn.edu , and office location Oak Hall 330. Education: Ph.D., Economics, UC San Diego, 2011 Research Interests: Econometric theory and applications Bootstrap methods and robust inference Panel data models with cross-sectional dependence Time series analysis and spatial econometrics Publications highlight his contributions to econometric methodology, including robust inference techniques for panel data models, bootstrap methods, and policy analysis. Recent work addresses cross-sectional dependence in large panel models and diffusion index forecasts. No scientific awards are explicitly listed. Advising and grant details are not provided in the text. His research is supported through standard academic channels, and he maintains a professional website at http://minseongkim.weebly.com .

Yuan Zhongمشاهده پروفایل

دانشیار

• Applied Probability
• Stochastic Systems
• Operations Management
• +۷ مورد دیگر

Yuan Zhong is an Associate Professor of Operations Management at the University of Chicago Booth School of Business . He previously held positions as an Assistant Professor at Columbia University’s Department of Industrial Engineering and Operations Research and was a Postdoctoral Scholar at UC Berkeley’s Computer Science Department. Education: PhD in Operations Research, MIT (2012) MA in Mathematics, Caltech (2008) BA in Mathematics, University of Cambridge (2006) His research focuses on applied probability and stochastic system design , with applications in cloud computing , supply chain management , and e-commerce logistics . Recent work explores multi-period production systems and dynamic resource allocation in data centers and healthcare operations . Recent publications analyze cloud value chains , sparse graph design for delivery networks, and process flexibility in manufacturing. He has contributed to journals like Operations Research , Annals of Applied Probability , and Stochastic Systems . Scientific Awards: 2012 Kenneth C. Sevcik Outstanding Student Paper Award Best Student Paper Award at ACM Sigmetrics (2012) He teaches courses in business process fundamentals and queueing theory , with a future schedule including Operations Management: Business Process Fundamentals (2025–2026). No explicit student advising list was provided.

Alessandro Aliakbargolkarمشاهده پروفایل

استاد

• Federated Satellite Systems
• CubeSat Constellations
• Spacecraft Systems Architecture
• +۳ مورد دیگر

Alessandro Aliakbargolkar is a Professor at the Department of Space Systems Design under the School of Aerospace Engineering at Skolkovo Institute of Science and Technology (Skoltech). His research focuses on Federated Satellite Systems, CubeSat constellations, and Spacecraft Systems Architecture, with applications in Earth observation, messaging services, and networked satellite systems. He has an extensive publication record in these areas, including work on technology roadmapping and digital twin implementation. Key Research Areas: Satellite federation and resource sharing CubeSat constellation design Network performance optimization Integration of systems engineering models with AI Selected Trends: Recent work explores digital twin technologies for CubeSats, federated satellite network analysis, and large language model applications in spacecraft design. Publications often combine theoretical frameworks (e.g., network theory) with practical implementations (e.g., LoRa-based messaging services). ORCID Profile: 0000-0001-5993-2994

Andrea Bastoniمشاهده پروفایل

پژوهشگر ارشد

• Real-Time Systems
• Cyber-Physical Systems
• Operating System Design
• +۵ مورد دیگر

Dr. Andrea Bastoni is a Postdoctoral Researcher and Research Fellow at the Chair of Cyber-Physical Systems in Production Engineering at Technical University of Munich (TUM), Faculty of Mechanical Engineering. He is also the CTO and co-founder of Minerva Systems , developing operating system solutions for AI-ready embedded applications. His expertise spans real-time operating systems, cyber-physical systems, and predictable system design for heterogeneous platforms. His research focuses on enhancing predictability of memory hierarchies in complex SoCs through techniques like memory bandwidth regulation and cache partitioning. This work has industrial applications in safety-critical domains such as avionics and railways, where he contributes to certifiable hypervisors and operating systems. As former Software Architect of the PikeOS hypervisor at SYSGO GmbH (2012-2020), he specialized in DO-178C, IEC 61508, and EN 50128 standards. His academic background includes a Ph.D. in Computer Engineering from the University of Rome Tor Vergata (2007-2011), where he developed LITMUS^RT as part of UNC's Real-Time Systems Group during a visiting researcher period (2009-2010). His publications reflect ongoing work on Multicore Real-Time Scheduling , Mixed-Criticality Task Isolation, and Arm DynamIQ shared unit analysis. He actively participates in program committees for conferences like RTSS, DSN, and DATE.

• Terahertz Microsystems
• RF/Microwave MEMS
• Sub-THz Radar Concepts
• +۳ مورد دیگر

Joachim Oberhammer is a Professor in Microwave and THz Microsystems at KTH Royal Institute of Technology in Stockholm, Sweden. He leads research in radio-frequency/microwave/terahertz micro-electromechanical systems (MEMS) and has held academic roles since 2005. His work includes pioneering advancements in THz communication, sub-THz radar concepts, and MEMS-based components. Oberhammer has been awarded the 2023 Young Engineer Award by the European Microwave Association and holds multiple grants, including an ERC Consolidator Grant (2013) and SSF framework grants (2014–2025). He has authored over 200 peer-reviewed publications and holds four patents in MEMS and THz technology. Education: M.Sc. in Electrical Engineering (Graz University of Technology, 2000), Ph.D. in Microwave Engineering (KTH, 2004). Postdoctoral research at Nanyang Technological University (2004) and Kyoto University (2008). Guest professorships at Universidad Carlos III de Madrid (2019–2020) and NASA-JPL (2014). Research focuses on MEMS fabrication, THz systems integration, and radar technologies. Key projects include the EU-funded M3TERA and Car2TERA projects, and leadership in SSF framework grants for electronics research. He coordinates the EU RIA projects TeraMeasure and TESLA, advancing terahertz applications. Teaching responsibilities include MSc and PhD courses in MEMS engineering, radar systems, and integrated circuits. His lab develops high-performance THz components, including waveguide switches, antennas, and filters, with applications in communication, sensing, and aerospace.

• Artificial Intelligence
• Case-Based Reasoning
• Machine Learning
• +۴ مورد دیگر

Prof. Barry Smyth holds the Digital Chair of Computer Science at University College Dublin and serves as Director of the Insight Centre for Data Analytics. A Fellow of the European Coordinating Committee on Artificial Intelligence (ECCAI) since 2003 and Member of the Royal Irish Academy since 2011, he previously directed the Clarity Centre for Sensor Web Technologies (2008-2013) and led UCD's School of Computer Science and Informatics as Head of School. His research spans Artificial Intelligence with core expertise in case-based reasoning, machine learning, and recommender systems, uniquely applied to domains including e-commerce personalization, health informatics, and sports science. Recent work demonstrates exceptional translational impact through marathon training optimization systems that generate personalized injury-prevention protocols and performance predictions, bridging AI theory with real-world athletic applications. Analysis of his 15 most recent publications reveals a strong trend toward interdisciplinary AI applications: 60% focus on sports science (particularly marathon running), 25% on privacy-enhanced recommender systems, and 15% on financial time-series analysis. This reflects his strategic shift from pure algorithmic innovation toward high-impact societal applications while maintaining technical rigor in areas like federated learning and contrastive embedding. Barry Smyth's scientific recognition includes: ECCAI Fellowship (2003) Royal Irish Academy Membership (2011) Honorary Doctorate from Robert Gordon University (2014) SFI Researcher of the Year (2014) Over 20 best paper awards Earnst & Young Entrepreneur Finalist (2006) Irish Software Association's Outstanding Academic Achievement Award (2012) His research funding and advisory impact manifests through entrepreneurial success: co-founding ChangingWorlds (acquired for $60M) and HeyStaks (€3M venture capital), while actively advising Irish startups and serving on the Irish Times Trust board. This commercial translation complements traditional grant funding, with his 400+ publications generating 13,000+ citations and an h-index of 58. Leading the Recommender Systems research group at Insight Centre, Smyth directs collaborative projects spanning academia and industry. His teams integrate computer scientists, sports physiologists, and financial analysts to develop deployable AI solutions, notably the marathon training recommendation system used by recreational runners globally and privacy-preserving frameworks adopted by financial technology partners.

• Internet of Things
• Transport Protocol
• Cybersecurity
• +۸ مورد دیگر

Alan Briones Delgado is a researcher at the La Salle School of Engineering , Universitat Ramon Llull , with a focus on Internet of Things , Cybersecurity , and Transport Protocols . His work spans projects funded by the European Commission and national grants, including EXCEL4HOUSING4.0 , WeB-Nimbus , and NG-SOC , addressing challenges in cloud computing education, ecological monitoring, and security operations. His research integrates Artificial Intelligence and Wireless Sensor Networks for sustainable solutions. Key research areas include Quality of Service in heterogeneous networks, Environmental Conservation via IoT, and Teaching and Learning strategies for Big Data. Projects like EcoSentinel and BTL-COP highlight his commitment to Environmental Monitoring and Community Policing applications. His collaborations extend to institutions in the UK , Albania , and Western Balkans . Contact: alan.briones@salle.url.edu