جستجوی استاد راهنمای دانشگاهی

Hong Liu is an Associate Professor at the Business School of the University of Shanghai for Science and Technology and currently a Visiting Scholar at the Center for Studies in Higher Education (CSHE), UC Berkeley. She holds a B.A., M.A., and Ph.D. from Fudan University, specializing in law, public management, and public policy respectively. Her research focuses on higher education policy, university governance, and comparative education systems. She has secured seven research grants from the Chinese Ministry of Education and Shanghai Education Committee, and her work appears in leading Chinese peer-reviewed journals. Education: B.A. in Law, Fudan University M.A. in Public Management, Fudan University Ph.D. in Public Policy, Fudan University Her current project at CSHE involves comparative analysis of college student learning experiences in China and the U.S. using the SERU-I dataset. Key research aspects include time allocation, classroom engagement, faculty-student interaction, group study dynamics, research participation, civic involvement, academic satisfaction, and core competency development. Her publications explore multidisciplinary themes at the intersection of education policy and institutional management, with a focus on global educational trends. While her recent articles in quantum computing appear unrelated to her primary field, they may reflect interdisciplinary collaborations or additional research streams. Grants and awards include seven funded research projects from national and regional education authorities. She actively contributes to academic discourse through peer-reviewed publications and institutional advisory roles.

• Higher Education Policy
• University Governance
• Educational Management
• +۳ مورد دیگر

**Jiang Hu** is a Full Professor of Electrical and Computer Engineering at Texas A&M University, holding a Hans Fischer Senior Fellowship at the Technical University of Munich (TUM-IAS). He earned his B.S. in Optical Engineering from Zhejiang University (1990), M.S. in Physics from the University of Minnesota (1997), and Ph.D. in Electrical Engineering (2001). Before joining Texas A&M in 2002, he worked at IBM Microelectronics. His research focuses on Electronic Design Automation (EDA), VLSI physical design, and hardware security, with notable contributions to machine learning-driven CAD tools and approximate computing architectures. **Education**: B.S., Optical Engineering, Zhejiang University (1990) M.S., Physics, University of Minnesota (1997) Ph.D., Electrical Engineering, University of Minnesota (2001) **Research Interests**: Jiang Hu's work bridges EDA and computer architecture, emphasizing optimization of large-scale computing systems. His projects include automated power modeling frameworks (e.g., APOLLO), neural network-driven placement algorithms, and security-enhanced dataflow architectures. He also explores plasmonic materials and perovskite solar cells through interdisciplinary collaborations. **Awards**: IEEE Fellow (2012) Alexander von Humboldt Research Fellowship (2011) Multiple best-paper awards at IEEE/ACM conferences (2003–2021) **Grants & Leadership**: He served as Technical Program Chair for ACM International Symposium on Physical Design (2011–2012) and co-chaired the ACM/IEEE Workshop on Machine Learning for CAD (2023). His research has led to 10 patents and supervision of 24 Ph.D. students. **Labs & Teams**: His group collaborates with TUM-IAS on projects like *A New and Scalable Methodology for Fast Machine Learning Accelerator Design*, advancing EDA tools for next-generation hardware systems.

• Electronic design automation
• VLSI physical design
• Optimization of large computing systems
• +۵ مورد دیگر

Ben Jelen is an Assistant Professor of Computer Science and Software Engineering at Rose-Hulman Institute of Technology. His expertise lies in human-computer interaction (HCI), particularly in healthcare contexts. He combines industry experience from Epic Systems with academic research, focusing on older adults' engagement with maker technologies and healthcare systems. Education: PhD in Health Informatics, Indiana University (2022) MS in Informatics, Indiana University (2017) BS in Biomedical Engineering, Ohio State University (2013) Research Interests: Dr. Jelen investigates how older adults interact with technology through craft-based maker projects, emphasizing accessibility and inclusivity. His work bridges HCI education, health informatics, and interdisciplinary collaboration. Key themes include aging populations' technology adoption barriers and ethical design practices. Awards & Honors: Luddy Service Award (2021) National Science Foundation Graduate Research Fellowship (2017) Teaching & Grants: Teaches courses like Software Requirements Engineering and UI/UX Design. Supported by NSF GRFP during PhD. Advised by Dr. Katie Siek in ProHealth Lab at IU. Labs/Teams: Former member of ProHealth Lab, now leading research at Rose-Hulman on inclusive technology design for aging populations.

• Human-Computer Interaction (HCI)
• Health Informatics
• Gerontechnology
• +۳ مورد دیگر

Dr. Yan Lu is an Assistant Professor of Computer Science at Christopher Newport University (CNU), part of the School of Engineering and Computing. She joined CNU in Fall 2023 and holds a Ph.D. in Computational Modeling and Simulation from Old Dominion University (2020), an M.Sc. in Computer Science from Virginia Commonwealth University (2009), an M.Sc. in Circuit and System from the Chinese Academy of Sciences (2007), and a B.A. in Computer Science from Beijing Jiaotong University (2004). Her research focuses on Deep Learning and Machine Learning applications in Remote Sensing Image Processing, Trustworthy AI, and AI robustness. Notable projects include refugee tent extraction using satellite imagery (featured in IEEE Spectrum ) and malware classification via deep residual networks. She has held roles as Research Assistant Professor at Old Dominion University’s VMASC and Research Scientist at Virginia Commonwealth Cyber Initiative (VCCI). Dr. Lu’s work has been recognized with awards such as the 2019 Gene Newman Award and the Air Force Research Lab’s VFRP award (2020–present). Her teaching spans Machine Learning, Data Science, and Image Processing. She actively contributes to IEEE and ACM’s SIGSIM.

• Machine Learning
• Deep Learning
• Artificial Intelligence
• +۵ مورد دیگر

Fangning Hu is a Senior Lecturer in Electrical Engineering at the School of Computer Science & Engineering at Constructor University Bremen gGmbH, Germany. She holds a Ph.D. in Electrical Engineering from Jacobs University Bremen (now Constructor University) and has held academic positions at multiple institutions, including Jacobs University, Hangzhou Dianzi University, and roles as a Guest Lecturer at Hochschule Bremen and German University in Cairo. Education: Ph.D. in Electrical Engineering (2004–2008), Jacobs University Bremen M.Sc. in Computer Science (2000–2002), DAAD Scholarship recipient at Duisburg-Essen University M.Sc. in Electrical Engineering (1999–2000), Zhejiang University (top 5% entry-exam exemption) B.Sc. in Electrical Engineering (1995–1999), Zhejiang University (full merit scholarships) Research Interests: Belief Propagation Applications in Channel Coding and Sudoku Solvers Intelligent System Design, including Hardware Development, Sensor Data Acquisition, and Object Detection LDPC Codes, OFDM Systems, and Impulse Noise Correction Key Contributions: Her work spans over 15 publications on topics like LDPC codes, analog signal processing, and iterative decoding algorithms. Notable projects include leadership on the National Natural Science Foundation of China (NNSFC) project on Belief Propagation in Channel Coding (2012–2014) and DFG-funded research on GEO-IDEC (2008–2010). Awards: 2020 Teacher of the Year, Jacobs University Bremen IEEE Fellowship (2005–2008) DAAD Scholarships (Master's programs in Germany) Labs and Teaching: Leads labs in Digital Design, Embedded Systems, Robotics, and Sensor Networks. Active in curricula for Advanced Digital Design and Digital Signal Processing courses. Her research teams collaborate on projects involving robotics, intelligent systems, and sustainable data acquisition technologies.

• Belief Propagation Applications
• Channel Coding
• Intelligent System Design
• +۷ مورد دیگر

Yan Yao is a Professor at Hefei University of Technology, School of Computer Science and Information Engineering, with a distinguished research career spanning over two decades. Her work bridges theoretical foundations with practical implementations across wireless communications, cloud computing, and medical informatics, demonstrating both technical depth and interdisciplinary versatility. Her primary research domains include: Wireless Communications - Pioneering work on distributed wireless communication systems, MIMO technologies, and physical layer security Cloud and Edge Computing - Innovative resource allocation mechanisms using game theory and auction models Medical Informatics - Applying machine learning to critical healthcare challenges including sepsis prediction and diabetic retinopathy analysis Blockchain and Security - Developing secure data sharing frameworks for industrial IoT applications Analysis of Yan Yao's publication trajectory (2002-2025) reveals a strategic evolution from foundational wireless communications research to interdisciplinary applications. Her early work (2002-2008) established her expertise in distributed wireless systems architecture and MIMO technologies, frequently collaborating with Tsinghua University researchers. More recently (2018-2025), she has expanded into cloud-edge computing, blockchain applications, and healthcare analytics, demonstrating remarkable adaptability while maintaining technical rigor. Her most impactful recent contributions integrate multiple domains to solve complex real-world problems, such as applying game theory to cloud-edge resource allocation and developing machine learning solutions for clinical prediction. Yan Yao's research impact is reflected in her consistent publication record in high-impact venues including IEEE Transactions, BMC Medical Informatics and Decision Making, and top-tier conferences. Her work shows a clear progression from technical contributor to research leader, with increasing emphasis on interdisciplinary applications that address significant societal challenges.

• Wireless Communications
• MIMO Systems
• Cloud Computing
• +۷ مورد دیگر

Paulino Ruiz de Clavijo Vázquez is a Professor in the Department of Electronic Technology at the University of Seville. His primary research focuses on embedded systems, IoT security, digital system design, FPGA implementation, and hardware security. He leads and collaborates on numerous research projects, including advanced IoT boot systems, secure embedded communication, and high-precision timing synchronization for IoT devices. Key projects include the IRIS secure boot framework for IoT and the E-LUKS hardware encryption solution. His work spans both theoretical contributions (e.g., novel trigonometric computation algorithms) and applied hardware-software co-design (e.g., NanoFS file system). He has advised doctoral theses such as 'LILA: Low-level IoT Lightweight Applications.' His research also involves FPGA-based systems for real-time applications, including time servers and FFT modules. Projects like HAVOC (hardware audio codec) and HardTIME (high-precision timing) highlight his focus on practical hardware implementations. He has contributed to over 50 peer-reviewed publications, conference presentations, and patents related to embedded systems, digital circuit design, and IoT security solutions.

• Embedded Systems
• IoT Security
• Digital System Design
• +۳ مورد دیگر

David Guerrero Martos is an Associate Professor in the Department of Electronic Technology at the University of Seville. His primary research focuses on microelectronics, embedded systems, and hardware security solutions. He leads the 'Digital Research and Development' group and has participated in numerous national and international grants, including the 'USECHIP: Chair in Microelectronics' project (TSI-069100-2023-001) and the 'Easy-to-deploy intelligent network for independent living for our seniors (RIING)' initiative (IPT-2012-0645-300000). His academic contributions include pioneering work on FPGA-based IoT security (e.g., E-LUKS), high-precision timing systems, and low-power digital circuit design. He has published extensively in journals like IEEE Access and Electronics , and his research spans topics such as trigonometric function computation, hardware bootloaders (NanoBoot), and SoC integration frameworks (evercodeML). Guerrero Martos has over 20 years of experience in both academic and applied research, with notable contributions to teaching methodologies in electronics. He holds patents for innovative digital circuits and has collaborated on open-source hardware projects, emphasizing practical applications of embedded systems.

• Microelectronics
• Embedded Systems
• IoT Security
• +۵ مورد دیگر

Associate Professor Parag Deotare holds joint appointments in the Departments of Physics, Electrical Engineering and Computer Science, and Applied Physics at the University of Michigan. He directs the Excitonics and Photonics Laboratory (ExP Lab), focusing on exciton dynamics in low-dimensional materials such as transition metal dichalcogenides and organic semiconductors, with applications in quantum metrology, quantum information science, and on-chip data communication. His research bridges quantum optics, nanophotonics, and material science. Education: PhD in Physics from Harvard University (2012), MS in Physics from Texas A&M (2004), and BE in Engineering from the University of Pune, India (2004). Postdoctoral training at MIT preceded his faculty appointment at the University of Michigan in 2016. Research interests span experimental quantum optics, semiconductor physics, and excitonic phenomena. Recent work emphasizes strain effects on excitons, 1D excitonic guides, and optoexcitonic platforms for anti-tamper hardware. Awards include the 2017 Air Force Young Investigator Award and the 2017 HKN Professor of the Year Award. Lab activities involve interdisciplinary collaborations, with a focus on hybrid material interfaces and nanoscale strain engineering. The ExP Lab is co-located in the Randall Laboratory and Homer A. Neal Lab on the Ann Arbor campus.

• Quantum Optics
• Quantum Information Processing
• Semiconductor Physics
• +۴ مورد دیگر

Dr. Yu Liu is an Associate Professor in the Department of Electrical and Computer Engineering at Clarkson University, Potsdam, NY. He holds a Ph.D. from Southern Illinois University Carbondale (2011) and M.S./B.S. degrees from Sichuan University (2003/2000). Prior to academia, he worked at Canadian Nuclear Laboratories (2013–2017), IBM (2011–2013), and Motorola (2003–2007). His research focuses on computer architecture, high-performance computing, thermal simulation, and wireless sensor networks , with interdisciplinary applications in nuclear science. He has secured over $1.7M in NSF funding as PI/co-PI and published >50 peer-reviewed papers. Education: Ph.D., Electrical and Computer Engineering, Southern Illinois University Carbondale (2011) M.S., Power System and Automation, Sichuan University (2003) B.S., Communication Engineering, Sichuan University (2000) Research Interests: Physics-based thermal simulation methodologies for multi-core CPUs/GPUs Data-driven and machine learning approaches in high-performance computing Interdisciplinary applications in nuclear science and environmental monitoring Real-time embedded systems and scratchpad memory architectures Grants & Awards: 5 NSF grants (e.g., REU Site: High Performance Computing with Engineering Applications) Best Paper Award at 2022 IEEE ITherm Conference Teaching & Advising: Undergraduate/Graduate courses: Software Engineering, High-Performance Computing, Computer Networks Advised 10+ graduate/undergraduate students in thermal simulation, HPC, and nuclear engineering projects Key Projects: Development of PODTherm-GP thermal simulation framework NSF-funded REU programs training over 50+ students

• Computer Architecture
• High Performance Computing
• Real-Time Systems
• +۳ مورد دیگر

Dr. Omar Alani is a Senior Lecturer and Head of the Networking and Mathematics Group at the School of Science, Engineering & Environment, University of Salford, UK. He holds a PhD in Telecommunication Engineering from De Montfort University and has held academic and research roles at Swansea University, the University of Leeds, and De Montfort University. His expertise spans Mobile Communications, 5G/6G systems, IoT, and Green ICT. Education: PhD (Telecommunication Engineering, De Montfort University, 2005), MSc (Advanced Control Systems), BEng (Electrical Engineering) Affiliations: Informatics Research Centre, University of Salford Research Interests: Alani focuses on advancing communication systems through projects in next-generation networks, including 6G/5G innovations, cognitive radio, and energy-efficient telecommunication solutions. His work intersects with renewable energy monitoring via ICT and smart grid technologies. He has authored over 90 publications and supervised multiple theses in these areas. Teaching: He teaches courses on Mobile Communication Networks, IoT, and Control Systems Engineering, emphasizing practical applications in postgraduate project management. Labs/Teams: Leads the Networking and Mathematics Group, collaborating on projects related to routing protocols, antenna design, and network security.

• Mobile Communications
• 5G/6G Systems
• Machine-to-Machine (M2M) Communications
• +۷ مورد دیگر

Alexandru Dinu is a Lecturer at the Department of Electronic and Computers within the Faculty of Electrical Engineering and Computer Science at the Technical University of Brasov. His research focuses on functional verification of ASICs, digital electronics, and AI integration in embedded systems. He has contributed to projects involving hardware reconfiguration, sensor peripherals, and cost-efficient verification methodologies. Research interests include: AI-driven hardware verification Microcontroller-based systems Functional coverage optimization Embedded systems programming His recent work explores automation in verification processes using genetic algorithms and reinforcement learning, with applications in FPGA-based sensors and energy management systems. Collaborations include industry-oriented laboratory redesign and educational platforms for alphabet learning. No scientific awards or grants are listed. Advising information is unavailable. Current affiliations include the Technical University of Brasov and participation in interdisciplinary projects spanning engineering education and environmental technology.

• Functional verification of ASICs
• Digital electronics
• Microcontrollers
• +۴ مورد دیگر

Professor Daniel Tudor Cotfas is affiliated with the Department of Electronic and Computers at the Faculty of Electrical Engineering and Computer Science, University of Technical Education Bucharest. His research focuses on renewable energy systems, particularly photovoltaic (PV) and hybrid energy solutions. He explores topics such as solar thermoelectric generators, low-power sensor networks, and cybersecurity in IoT-integrated energy systems. His work emphasizes improving energy efficiency through advanced materials, optimization algorithms, and policy frameworks. Key research areas include dust impact on PV panel performance, parameter extraction for solar cells using metaheuristic algorithms, and virtual instrumentation for educational and industrial applications. He has contributed to remote laboratory systems and smart energy monitoring technologies. His publications address challenges in concentrated solar power, hybrid PV-thermoelectric systems, and energy harvesting for wireless sensors. Notable collaborations involve experimental setups for studying thermoelectric materials under concentrated light and developing frameworks for secure IoT integration in renewable energy infrastructure. Cotfas is also engaged in educational initiatives, leveraging LabVIEW and FPGA-based tools for hands-on learning in renewable energy and control systems.

• Renewable Energy
• Photovoltaic Systems
• Hybrid Energy Systems
• +۵ مورد دیگر

Nikoletta Tolner is an Assistant Professor and Deputy Head of the Institute of Engineering at the Alba Regia Faculty of Óbuda University. Her research focuses on educational technology, artificial intelligence in academic environments, digital electronics, and e-learning frameworks. She holds a prominent role in shaping engineering education through innovative teaching methodologies and technology integration. Her work emphasizes practical applications such as AI-driven online proctoring systems, modular curriculum design using IT project management, and advancing digital circuit education through embedded systems and FPGA technologies. Tolner actively contributes to academic integrity research, exploring cheating motivations and strategies in modern educational settings. Publications span topics from teacher perceptions of AI integration to hardware-software co-design in engineering education. She maintains an accessible profile with an institutional email address and regularly updates her publication repository at MTMT .

• Educational Technology
• Artificial Intelligence in Education
• Digital Electronics
• +۳ مورد دیگر

Koushik Chakraborty is a Professor in Electrical and Computer Engineering at Utah State University. His research focuses on computer architecture, energy-efficient near-threshold computing systems, and hardware security. He holds a PhD from the University of Wisconsin-Madison and has received multiple best paper awards. Research encompasses fault-tolerant architectures, hardware security countermeasures, and machine learning accelerators. Recent work develops timing error-resilient systems for deep learning hardware and security frameworks for neuromorphic computing. His group investigates voltage noise mitigation in network-on-chip designs and process variation-aware GPU architectures. Dr. Chakraborty teaches courses in Computer Architecture, Systems Programming, and VLSI Design. He has mentored over 18 graduate students and received teaching recognition including the 2010 Outstanding Undergraduate Mentor Award.

• Computer Architecture
• Near-Threshold Computing
• Hardware Security
• +۳ مورد دیگر