جست‌وجوی استاد و پژوهشگر

Stavros G. Vougioukasمشاهده پروفایل

استاد

• Agricultural Robotics
• Mechanization of Specialty Crops
• Automation in Harvesting
• +۵ مورد دیگر

Stavros G. Vougioukas is a Professor and Vice Chair in the Department of Biological and Agricultural Engineering at the University of California, Davis. His research focuses on agricultural robotics, mechanization, and automation for specialty crops, with particular emphasis on robotic harvesting systems and precision agriculture technologies. He leads initiatives in developing actuator systems, perception, and control mechanisms to optimize crop management. Key areas of expertise include robotic fruit harvesting, autonomous vehicle navigation in orchards, and site-specific pest management strategies. His work integrates mechanical engineering principles with advanced automation to address labor shortages and improve agricultural efficiency. Recent projects emphasize data-driven solutions for yield estimation, worker activity analysis, and economic viability of robotic systems. Academic contributions span over 50 peer-reviewed publications (2023-2025), with a focus on robotic orchard platforms, crop transport systems, and sensor-based automation. Notable innovations include vacuum suction end-effectors for fruit harvesting and GNSS-free navigation systems for autonomous vehicles. He also explores sustainable agricultural machinery through techno-economic analyses of electric/hybrid tractors. Current research bridges robotics and agricultural economics, addressing labor cost optimization and precision irrigation. His lab collaborates with industry partners to translate prototypes into field-ready solutions, emphasizing practical applications for specialty crop production systems.

Joseph Wangمشاهده پروفایل

استاد

• Nanomachines
• Wearable Sensors
• Electrochemistry
• +۵ مورد دیگر

Dr. Joseph Wang is the Distinguished Professor of Nanoengineering and the SAIC Endowed Chair at UC San Diego. He leads the NBE Lab and directs the Center of Wearable Sensors and the Center for Mobile-health Systems. With over 50 researchers in his team, his work focuses on nanomachines, wearable sensors, electrochemistry, and analytical chemistry. His global citation ranking places him #13 in Chemistry and #31 in Materials Science, with an H-index of 217 and over 180,000 citations. He has been a Highly Cited Researcher since 2014 and ranks #4 in Nanoscience & Nanotechnology in the 2025 World Top 100 Scientists list. His research has led to groundbreaking innovations, including microrobots for lung cancer treatment, multiplexed microneedle sensors, and wearable devices for real-time health monitoring. He has been honored with prestigious awards such as the 2024 ACS Award in Analytical Chemistry, IEEE Sensors Council Award, and IUPAC Medal. He holds honorary doctorates from Comenius University and Charles University, and Woxsen University named its Chemistry Department after him. Key contributions include pioneering work in biohybrid microrobots, self-healing wearable devices, and sweat-based health monitoring systems. His lab’s work has been featured in Nature, Science, and The Economist. He co-authored influential books like Analytical Electrochemistry (4th ed.) and Nanomachines , and his research spans clinical applications, environmental sensing, and personalized medicine.

Peter Alvaroمشاهده پروفایل

استادیار

• Distributed Systems
• Databases
• Programming Languages
• +۷ مورد دیگر

Peter Alvaro is an Assistant Professor in the Department of Computer Science and Engineering at the Baskin School of Engineering, University of California, Santa Cruz. He joined the faculty in 2015 after earning his PhD from UC Berkeley under Professor Joe Hellerstein. His research lies at the intersection of databases, distributed systems, and programming languages , with a strong emphasis on data-centric approaches to building robust, scalable, and predictable distributed systems. He is the creator of the Dedalus language and co-creator of the Bloom language, both designed to simplify reasoning about distributed computation. Peter's recent work focuses on non-volatile memory (NVM) , computational storage , and data-centric operating systems , as seen in the Twizzler OS project. His publications span top venues such as USENIX ATC, HotNets, and Communications of the ACM, showing trends toward system resilience, efficient data management, and novel abstractions for modern hardware. Best Presentation award at USENIX ATC 2020 Peter advises graduate students, including Daniel Bittman, and is a key contributor to the Storage Systems Research Center (SSRC), now succeeded by the Center for Research in Storage Systems (CRSS). His work is supported by ongoing collaborations with researchers at UC Santa Cruz and beyond, particularly in the areas of storage, operating systems, and distributed computing.

• Innovation Management
• Technology-Driven Innovation
• Digital Innovation
• +۷ مورد دیگر

Tim Schweisfurth is a Full Professor in Organizational Design and Collaboration Engineering at the School of Management Sciences and Technology, Hamburg University of Technology (TUHH), Germany. He previously served as an Associate Professor in High-Tech Business at the University of Twente and in Technology and Innovation Management at the University of Southern Denmark. He received his PhD from TUHH and his venia legendi from the Technical University of Munich (TUM). His research focuses on innovation and entrepreneurship, with key themes including digital and technology-driven innovation, idea generation and evaluation, and distributed and collaborative innovation. His work has been published in leading journals such as Research Policy , Strategic Management Journal , Organization Science , and Creativity and Innovation Management . His recent publications reflect a strong trend in understanding how organizational structures, digital platforms, and user involvement influence innovation outcomes. Topics include internal crowdfunding, idea evaluation biases, user innovation, and Industry 4.0 adoption in SMEs, indicating a deep engagement with both theoretical and applied aspects of innovation management. Editor-in-Chief, Creativity and Innovation Management Advisory Editor, Research Policy He has collaborated with major companies such as Siemens, Osram, Audi, Panasonic, and EWE in both research and consulting. He has advised on innovation strategies and digital transformation, contributing to real-world applications of his research. His work has not explicitly mentioned grants, but his extensive industry collaborations suggest strong project funding and engagement. He leads the research group on Organizational Design and Collaboration Engineering at TUHH, which investigates collaborative innovation, digital platforms, and employee-driven innovation. The team engages in both empirical and theoretical research, often using large datasets and field experiments to understand innovation dynamics in organizations.

Mark G. Reithمشاهده پروفایل

استادیار

• Cybersecurity
• Cyber Education
• Game-based Learning
• +۱۶ مورد دیگر

Dr. Mark G. Reith is an Assistant Professor of Computer Science at the Air Force Institute of Technology (AFIT), part of the U.S. Air Force’s Air University. He is based at Wright-Patterson Air Force Base, Ohio, within the Graduate School of Engineering and Management. Dr. Reith holds a Ph.D. in Computer Science from the University of Texas at San Antonio (2009), an M.S. in Computer Science from AFIT (2003), and a B.S. in Computer Science from the University of Portland (1999). Ph.D., Computer Science, University of Texas at San Antonio, 2009 M.S., Computer Science, Air Force Institute of Technology, 2003 B.S., Computer Science, University of Portland, 1999 Dr. Reith's research focuses on cybersecurity, cyber education, game-based learning, and multi-domain operations. He investigates operational cybersecurity in space systems, software factories, and military training through serious games. His work emphasizes trust management, cyber risk assessment, and defense acquisition innovation. He actively promotes STEM outreach and cyber workforce development within the Department of Defense. His recent publications reflect a strong trend in defense-oriented cybersecurity research, particularly in the domains of space system security, military software acquisition, and gamified cyber training. Articles span journals such as Air & Space Operations Research , Defense Acquisition Research Journal , and International Journal of Serious Games , highlighting interdisciplinary work bridging computer science, military strategy, and education. Dr. Reith has received notable recognition, including: AFA Colonel Charles A. Stone Award (2023) DAF Outstanding STEM Outreach Champion Award (2023) AFIT Team of the Quarter (2017) Bernard A. Schriever Essay Contest Winner (2017) He has advised numerous graduate students, many of whom are co-authors on his publications, particularly in the areas of cyber risk, space cybersecurity, and educational games. Dr. Reith has also contributed to research grants and initiatives focused on improving cyber hygiene, military IoT security, and multi-domain command and control. He is a frequent invited speaker on topics such as game-based learning and industry-academia collaboration in cybersecurity. Dr. Reith is actively involved in research labs and teams at AFIT, particularly those focused on cyber education, serious games (e.g., Battlespace Next), and operational cybersecurity. His work often involves collaboration with students and faculty across engineering, systems, and defense domains.

• Machine Learning
• Graph Neural Networks
• Time Series Analysis
• +۷ مورد دیگر

Filippo Maria Bianchi is an Associate Professor in the Department of Mathematics and Statistics at UiT The Arctic University of Norway, where he conducts research at the intersection of machine learning, dynamical systems, and complex networks. He is also a Senior Researcher at NORCE Norwegian Research Centre and actively contributes to the IEEE Task Force on Learning for Structured Data and the ELLIS Society. Department: Department of Mathematics and Statistics School: Faculty of Science and Technology University: UiT The Arctic University of Norway Adjunct Position: Senior Researcher, NORCE Education: Bachelor’s in Computer Engineering, Sapienza University of Rome Master’s in Artificial Intelligence & Robotics, Sapienza University of Rome (cum laude, 2012) PhD in Machine Learning, Sapienza University of Rome His research focuses on graph machine learning, time series analysis, reservoir computing, and probabilistic forecasting , with applications in energy analytics and remote sensing. He has led and contributed to numerous projects involving Arctic power grids, satellite-based environmental monitoring, and deep learning for sustainability. The recent publications reflect a strong trend in graph neural networks —particularly pooling mechanisms, spatiotemporal modeling, and explainability—alongside applications in energy forecasting, avalanche detection, and remote sensing . His work combines theoretical innovation with real-world impact, especially in Arctic and remote environments. Scientific Affiliations and Leadership: Vice-Chair, IEEE Task Force on Learning for Structured Data Member, ELLIS Society Co-founder, Northernmost Graph Machine Learning group Member, IEEE Task Force on Reservoir Computing Visiting Professor, Politecnico di Milano (2024–2025) He actively mentors students and collaborates on interdisciplinary research. He has led projects in power grid reliability, solar fault detection, and unsupervised change detection in satellite imagery . His work is supported by open-source implementations and reproducible research practices. Laboratories and Research Groups: Northernmost Graph Machine Learning group (co-founder) ARC Research Group, UiT Graph Machine Learning Group, Lugano

Donald Lieمشاهده پروفایل

استاد

• Low-Power RF/Analog Integrated Circuits
• System-on-a-Chip (SoC) Design
• Medical Electronics
• +۵ مورد دیگر

Donald Lie is a Professor and the Keh-Shew Lu Regents Chair in Electrical and Computer Engineering at Texas Tech University's Whitacre College of Engineering. His research focuses on low-power RF/analog integrated circuits, System-on-a-Chip (SoC) design, and interdisciplinary applications in medical electronics, biosensors, and biosignal processing. PhD, Electrical Engineering, California Institute of Technology (1995) MS, Electrical Engineering, California Institute of Technology (1990) BS, Electrical Engineering, National Taiwan University (1987) Donald Lie's research bridges RF/analog circuit design with biomedical engineering, emphasizing millimeter-wave power amplifiers for 5G systems and non-contact vital signs monitoring using software-defined radio (SDR). His work explores CMOS FD-SOI, GaN HEMTs, and SiGe technologies for high-efficiency, linear RF front-end modules and wearable biosensors. His 15 most recent publications focus on 5G communication systems , millimeter-wave power amplifier design in CMOS FD-SOI and GaN , digital predistortion techniques, and non-contact biosensors . These works highlight advancements in wideband amplifiers for 5G FR2 bands and wireless power transfer for medical devices. Institute of Electrical and Electronics Engineers (2017) Excellent Paper Award Winner (2019) Best Student Poster Paper Award Winner (2019) Donald Lie has secured NSF Student Travel Grants for conferences like RFIC 2022 and 2020. He leads the RF/Analog System-on-a-Chip (SoC) Design Lab , which develops innovative solutions for 5G RF front-ends and biomedical sensing systems.

• Environmental Engineering
• Urban Sustainability
• Industrial Ecology
• +۳ مورد دیگر

Hua Cai is the Thomas and Jane Schmidt Rising Star Associate Professor at Purdue University's Edwardson School of Industrial Engineering with a joint appointment in Environmental & Ecological Engineering. She holds a PhD in Environmental Engineering & Natural Resources from the University of Michigan, an MS in Environmental Engineering from Penn State, and a BS from Tsinghua University. Her research integrates operations research and production systems to address sustainability challenges, with focus areas including: Environmental implications of emerging technologies Urban sustainability modeling and infrastructure resilience Industrial ecology and complex adaptive systems Sustainable transportation and mobility systems Recent publications demonstrate strong focus on sustainable transportation systems, with extensive analysis of shared mobility patterns (bike/e-scooter systems), autonomous vehicle impacts, and microgrid resilience. Her work consistently applies advanced computational methods including reinforcement learning, agent-based modeling, and spatiotemporal analysis to urban sustainability challenges. Dr. Cai has received recognition including the Thomas and Jane Schmidt Rising Star Professorship for her contributions to sustainable systems engineering. She leads research on renewable energy integration in transportation infrastructure and advises projects on climate-resilient urban systems.

Saugata Ghoseمشاهده پروفایل

استادیار

• Data-centric computing
• Processing-in-memory
• Memory and storage systems
• +۳ مورد دیگر

Saugata Ghose is an Assistant Professor in the Siebel School of Computing and Data Science at the University of Illinois Urbana-Champaign (UIUC), with affiliate appointments in the Coordinated Science Laboratory and the Department of Electrical and Computer Engineering. His research focuses on data-centric computing, processing-in-memory architectures, memory systems, and hardware-software co-design. He holds a Ph.D. and M.S. in Computer Engineering from Cornell University and dual B.S. degrees in Computer Engineering and Computer Science from SUNY Binghamton. His academic positions include roles at Carnegie Mellon University (2016–2020) and postdoctoral research at CMU (2014–2016). Ghose has received notable awards such as the 2024 HPCA Hall of Fame, 2023 Intel Rising Star Faculty Award, and the 2019 CMU Wimmer Faculty Fellowship. His work has been supported by grants from NSF, Samsung, and Sandia National Laboratories. Research Interests: His group (ARCANA) explores data-centric architectures, processing-in-memory (PIM), and emerging memory technologies. Key areas include architectures for smart cities, autonomous systems, and genomics. He teaches courses on computer architecture and systems organization. Awards: HPCA Hall of Fame (2024) Intel Rising Star Faculty Award (2023) CMU Wimmer Faculty Fellow (2019) Cornell ECE Teaching Assistant Award (2013) Grants & Projects: NSF $2M for semiconductor advancements Samsung/Sandia grants for PIM programming models UIUC/ZJU DREMES collaboration on neuromorphic PIM Labs/Teams: Leads the ARCANA Research Group, focusing on reimagining computing around new applications. Collaborates with ASAP and HYBRID centers for co-design tools and neuromorphic architectures.

Sang-Hoon Baeمشاهده پروفایل

استادیار

• Advanced Materials
• Biomedical & Biological Imaging
• Biomedical, Bio-inspired, and Bio-derived Materials
• +۳ مورد دیگر

Sang-Hoon Bae is an Assistant Professor in the Department of Mechanical Engineering & Materials Science at Washington University in St. Louis, part of the McKelvey School of Engineering. His research focuses on materials innovation in 2D atomic layers and 3D thin films, aiming to advance ubiquitous electronics through novel material platforms. He holds a PhD from UCLA (2017), and BS/MS degrees from Sungkyunkwan University (SKKU), Korea. Education: PhD in Materials Science and Engineering, University of California, Los Angeles, 2017 MS in Materials Science and Engineering, Sungkyunkwan University, Korea, 2013 BS in Materials Science and Engineering, Sungkyunkwan University, Korea, 2011 Research Interests: Bae’s work integrates thermodynamics, kinetics, and solid-state physics to address challenges in materials science. His lab explores three key areas: Development of freestanding 3D films and 2D materials, and their functional architectures Advanced solar cell technology via solid-state photovoltaic physics Heterogeneous integration for self-powered ubiquitous electronics with AI capabilities Awards & Recognition: 2024 Falling Walls Science Breakthroughs Award (Energy & Technology) Grants & Collaborations: Received NSF funding (2024) for integrated photonics research with Prof. Lan Yang. His work on high-density energy storage via novel material heterostructures earned global recognition. Labs: Bae directs a lab located in Jubel Hall (Room 033), focusing on material innovation and device fabrication. His team collaborates with leading institutions like MIT and IBM.

Jack Hareمشاهده پروفایل

استادیار

• Plasma Physics
• Controlled Thermonuclear Fusion
• Magnetic Reconnection
• +۳ مورد دیگر

Jack Hare is an Assistant Professor at Cornell Engineering , focusing on experimental plasma physics. He earned a B.A. (Hons) and M.Sci. in Natural Sciences from the University of Cambridge (2010–2011), an M.A. in Plasma Physics from Princeton University (2013), and a Ph.D. in Plasma Physics from Imperial College London (2017) under Professor Sergey Lebedev. His research centers on high-energy-density laboratory plasmas, particularly processes like magnetic reconnection, magnetized shocks, and turbulence, which are critical for astrophysical dynamics and fusion energy stabilization. Current research involves the PUFFIN pulsed-power generator at MIT (2021–2025) and Cornell University (2025–present). Teaching interests include Plasma Physics, Plasma Diagnostics, Controlled Fusion, Electromagnetism, and Circuits. Scientific Awards NSF CAREER Award (2023) MIT Ruth and Joel Spira Award for Distinguished Teaching (2024) Michigan Institute of Plasma Science and Engineering Early Career Lecturer (2023) European Physical Society Plasma Physics Division PhD Research Award (2018)

Ping Luمشاهده پروفایل

استاد

• Advanced Guidance Systems
• Aerospace Trajectory Optimization
• Flight Control
• +۳ مورد دیگر

Prof. Ping Lu is the Albert W. Johnson Distinguished Professor and Department Chair in the Department of Aerospace Engineering at San Diego State University (SDSU), College of Engineering. He holds a PhD from the University of Michigan. His research focuses on advanced guidance systems, autonomous trajectory planning, flight control, and flight mechanics, with applications to space transportation systems like the X-33, Orion Crew Exploration Vehicle, and Mars missions. Prof. Lu has contributed to major programs such as the Evolvable Mars Campaign and has pioneered algorithms for propellant-optimal guidance and trajectory optimization. His awards include the NASA Director’s Innovation Group Achievement Award (2016) and AIAA Mechanics and Control of Flight Award (2008). Research highlights include model predictive guidance algorithms, six-degree-of-freedom rocket landing optimization, and fuel-optimal strategies for Mars and lunar missions. His work bridges theoretical control systems with practical aerospace applications, emphasizing real-world feasibility through convex optimization and numerical methods. Key contributions include over 150 peer-reviewed articles, with recent trends focusing on end-to-end trajectory optimization from entry to powered descent, asteroid landing trajectory design, and robust abort protocols. He leads SDSU’s aerospace systems research, collaborating on cutting-edge projects like the Pterodactyl entry vehicle and fractional-polynomial guidance frameworks.

Bal Krishna Sharmaمشاهده پروفایل

دانشیار

• Applied Linguistics
• Sociolinguistics
• Intercultural Communication
• +۲ مورد دیگر

Bal Krishna Sharma is Associate Professor of Applied Linguistics at the University of Idaho's College of Letters, Arts and Social Sciences, with affiliate status at the Habib Institute for Asian Studies. His scholarship examines language globalization across education, tourism, and digital media contexts. Education credentials: Ph.D. in Second Language Studies, University of Hawaii at Manoa (2016) M.A. in Second Language Studies, University of Hawaii at Manoa (2011) M.Ed. in English Education, Tribhuvan University (2004) B.Ed. in English Education, Tribhuvan University (2001) Research explores: Neoliberal influences on language education Intercultural communication in tourism Translingual practices in digital spaces Multilingual policy in South Asia Recent publications analyze linguistic landscapes in pandemic communication, multilingual STEM education, and social media discourse in Nepal. His work integrates sociolinguistic theory with critical analysis of globalization. Teaches courses including Sociolinguistics, Intercultural Communication, and History of the English Language.

• Numerical analysis
• Partial differential equations
• Fluid mechanics
• +۵ مورد دیگر

Dr. Jean-Christophe Nave is an Associate Professor in the Department of Mathematics and Statistics at McGill University. He holds a PhD from the University of California, Santa Barbara (2004), under advisors Xu-Dong Liu and Sanjoy Banerjee. Prior to McGill, he served as a Lecturer and Instructor at MIT's Mathematics Department (2005-2010). His research focuses on numerical analysis, partial differential equations, fluid mechanics, and computational methods for interface problems. He has led research groups involving postdocs, PhD, and undergraduate students, collaborating on projects like the Correction Function Method for PDEs and the Characteristic Mapping Method for advection problems. Education: Ph.D. in Applied Mathematics from UCSB (2004). Affiliations include the Institut des Sciences Mathematiques Steering Committee, Centre de Recherches Mathematiques Applied Math Lab, and CNRS-UMI. Active in teaching courses like Numerical Analysis I/II and Non-Linear Dynamics at McGill, with sabbatical periods noted in recent years. Research interests span numerical methods for PDEs, fluid-structure interaction, and multi-phase flows. His work integrates computational geometry and invariant numerical techniques, addressing challenges in complex fluid dynamics and interface-driven phenomena. Over 40 peer-reviewed publications and continuous contributions to the field of computational applied mathematics. Scientific advising includes over 20 graduate and undergraduate students, with notable alumni now in academia and industry. Collaborations include projects on volcano dynamics, fiber drawing instabilities, and concentrated solar power systems. His methods have advanced numerical simulations for engineering and physical systems involving discontinuous coefficients and sharp interfaces.

Leon Shpaninمشاهده پروفایل

مدرس ارشد

• Electrical Engineering
• Plasma Science
• Current Interruption
• +۲ مورد دیگر

Leon Shpanin is a Senior Lecturer in Electronic and Electrical Engineering at Sheffield Hallam University, where he serves as Course Leader for MSc Automation Control and Robotics. He holds an MSc in Radio Frequency Engineering and a PhD in Electrical Engineering from the University of Liverpool. His research focuses on electrical engineering applications including renewable energy systems, HVDC circuit interruptions, and electromagnetic techniques for current interruption. He received the RAEng Award (2020) for developing next-generation circuit breakers for rail networks. Key projects: Development of Novel Energy Efficient Magnetic Scroll Air Motor (EPSRC) Smart control of multirotor drone propellers for vibration energy harvesting