جستجوی استاد راهنمای دانشگاهی

Yakun Sophia Shao is an Associate Professor in the Department of Electrical Engineering and Computer Sciences (EECS) at the University of California, Berkeley. She holds a Ph.D. (2016) and M.S. (2014) in Computer Science from Harvard University, alongside a B.E. in Electrical Engineering from Zhejiang University, China. Her research focuses on computer architecture , particularly domain-specific accelerators , heterogeneous systems , and agile VLSI design methodologies . Key research centers: Agile Design of Efficient Processing Technologies (ADEPT), Berkeley Emerging Technologies Research (BETR), Berkeley Wireless Research Center (BWRC), SpeciaLIzed Computing Ecosystems (SLICE) Her work explores hardware-software co-design for efficiency in AI and robotics, including projects like Simba (chiplet-based AI accelerators) and Virgo (GPU matrix units). Notable tools developed include WIICA (workload characterization) and Chipyard (SoC frameworks). Selected honors include: 2024 CRA-WP Anita Borg Early Career Award 2023 NSF CAREER Award 2022 IEEE TCCA Young Computer Architect Award 2022 Intel Rising Star Faculty Award She teaches courses including EECS 151 (Digital Design & ICs) and EECS 251A (Advanced Digital Design).

• Computer Architecture
• Specialized Accelerators
• Heterogeneous Architecture
• +۴ مورد دیگر

Jürgen Scheible is a Professor at the Faculty of Technology, Reutlingen University, specializing in Electronic Design Automation (EDA). He leads the Electronics & Drives Lab and the Reutlingen Energy Center (REZ), focusing on analog integrated circuit design automation, machine learning integration, and power electronics methodologies. His career spans academic and industrial roles, including 18 years at Robert Bosch GmbH before joining Reutlingen University in 2010. 1987: Dipl.-Ing. in Electrical Engineering, Karlsruhe Institute of Technology (KIT) 1991: Dr.-Ing. in Electrical Engineering, KIT His research bridges procedural automation with artificial intelligence in analog IC design, addressing challenges in performance optimization, constraint handling, and thermal analysis of bond wires. Key projects include SWARM (self-organizing layout automation) and Bond Calculator (thermoelectrical simulation tool). Recent publications emphasize differentiable surrogate models, reinforcement learning applications, and knowledge-based methodologies in EDA. He received the Südwestmetall Award for Scientific Talent in 1992 and has authored 2+ textbooks on analog layout fundamentals. 2024: Keynote on analog/digital design divergence 2023: Co-authored foundational EDA textbook 2022: Reinforcement learning integration Labs and teams under his leadership conduct cutting-edge research in MEMS sensor parasitics, hybrid layout techniques, and full-custom IC design. His work establishes systematic frameworks for next-generation EDA tools.

• Electronic Design Automation
• Analog Integrated Circuit Design
• Automation of Circuit and Layout Design
• +۵ مورد دیگر

Dominique Ritze is a Research Fellow at the Data and Web Science Group of the University of Mannheim. Her research focuses on ontology alignment, semantic web technologies, linked open data integration, and knowledge organization systems. She collaborates with Prof. Dr. Christian Bizer and Prof. Dr. Kai Eckert on projects like InFoLiS II, aiming to advance data integration and semantic web applications. Education: MSc Computer Science (Diplom-Informatikerin) Research Interests: Dominique’s work bridges theoretical and applied aspects of semantic web technologies. Key areas include ontology evaluation frameworks, cross-domain data integration, and the development of tools for provenance tracking and data reuse. She has contributed to methodologies for aligning knowledge organization systems (KOS) and enhancing discovery systems with linked data. Publications Trends: Her articles from 2010-2015 emphasize ontology alignment (e.g., OAEI evaluations), semantic web applications, and data integration techniques. Notable contributions include the ICE-Map visualization for KOS evaluation and the Mannheim Search Join Engine for cross-website table integration. Awards: No scientific awards explicitly listed in the provided texts. Projects & Teams: Active in the Data and Web Science Group, leading projects on web table matching and semantic data integration. Collaborates with global research networks through initiatives like the Ontology Alignment Evaluation Initiative.

• Semantic Web
• Data Integration
• Ontology Matching
• +۴ مورد دیگر

Andreas Krinke is a Researcher at the Institute of Microengineering and Electronic Design, TU Dresden, specializing in constraint-guided design of integrated analog circuits. He actively participates in BMBF-funded projects including HyPerStripes, MANNHEIM-KI4BoardNet, and Technology for Trust, focusing on electronic design automation and reliability engineering. His research centers on analog/mixed-signal IC design with emphasis on constraint propagation, physical design automation, and reliability analysis. Key contributions include methodologies for constraint handling from system-level to tape-out, open-source EDA tool development, and applications in flexible electronics and automotive systems. His work bridges theoretical constraints with practical implementation challenges in nanoscale and automotive electronics. Publication trends since 2011 reveal consistent focus on constraint propagation techniques, evolving toward flexible electronics (2024), open-source layout verification (2024), and automotive mission profile analysis (2021-2022). Recent work integrates AI for trustworthy systems while maintaining core expertise in constraint-driven design flows for analog circuits. Krinke teaches Fundamentals of Electrical Engineering seminars and design automation exercises. His project portfolio includes: HyPerStripes, MANNHEIM-KI4BoardNet, Technology for Trust (BMBF) ELDA-MP (BMWi) autoSWIFT, RESCAR 2.0 (BMBF) These initiatives target automotive electronics, design automation, and trustworthy computing systems. He collaborates within TU Dresden's Institute of Microengineering and Electronic Design, working closely with Prof. J. Lienig's research group on constraint-driven methodologies and open-source EDA ecosystems for next-generation circuit design.

• Analog Circuit Design
• Mixed-Signal Integrated Circuits
• Constraint Propagation
• +۳ مورد دیگر

Ricardo Miguel Ferreira Martins is an Assistant Professor at the Department of Electrical and Computer Engineering, Instituto Superior Técnico (IST), University of Lisbon. His research focuses on analog/mixed-signal integrated circuit design automation, leveraging machine learning for layout optimization, sizing, and post-layout performance prediction. He leads multiple projects funded by institutions like FCT and Sony, emphasizing AI-driven EDA solutions for 5G/6G and biomedical applications. Education: Doctoral Degree in Electrical and Computer Engineering (IST/UL) Research Interests: Deep learning for analog IC placement and routing Ultra-low power biomedical circuits RF/mmWave IC design automation Yield-aware synthesis methodologies Article Trends: Recent work emphasizes integrating machine learning into EDA workflows, particularly for layout-aware optimization , human-AI collaboration , and autonomous design tools . Key contributions include PACOSYT (passive component synthesis) and DeepPlacer (AI-driven placement). Grants & Projects: ACTON Project (2025-2026): 5G/6G mmWave IC design via deep learning GENERALISE Project (2023-2026): Generative AI for analog chip design Student Supervision: Mentors 21+ graduate students in AI-driven circuit design and EDA automation. Ongoing works explore generative AI for layout generation, reinforcement learning in design space exploration, and cloud-based EDA tools. Conference Roles: Holds leadership positions in major EDA conferences like SMACD and DATE, serving as Technical Program Chair and Awards Chair.

• Analog Integrated Circuit Design Automation
• Machine Learning in EDA
• Ultra-Low Power Circuits
• +۳ مورد دیگر

Prof. Dr. habil. Reinhard Rauscher is a retired professor at the Osnabrück University of Applied Sciences, affiliated with the Faculty of Management, Culture and Technology. He holds a Diplom in Informatics from the Christian-Albrechts-Universität Kiel (1982), a PhD in Computer Science from the University of Hamburg (1987), and a habilitation in Computer Science focusing on 'Design and Methodology of Application-Specific Digital Systems' (1998). His teaching responsibilities include courses such as Algorithms, Programming, and Databases. Research Interests: His work spans digital system design, VLSI architecture, CAD tools for hardware design, microprogramming optimization, and real-time image processing ASICs. Notable contributions include methodologies for microcode transformation verification, CAD systems for digital circuit design, and research on numerical stability in systolic arrays. Publications: Over 30 peer-reviewed papers in conferences like EUROMICRO, CONPAR, and journals such as Microprocessing and Microprogramming. His research emphasizes practical applications of theoretical computer science in hardware-software co-design. Grants & Labs: Involved in projects like CAMILOD (correctness-proven hardware design), BOSSDIS (automated hardware description transformation), and collaborations on ASIC development for image processing and SCHEME coprocessors. His work integrates algorithmic theory with embedded system implementation challenges.

• Computer Science
• Digital Systems Design
• VLSI Design
• +۳ مورد دیگر

Henri Casanova is a Professor in the Information & Computer Sciences Department at the University of Hawaiʻi at Mānoa. His research focuses on High Performance Computing (HPC), including workflow management systems, distributed application simulation, and HPC storage systems. He teaches courses such as ICS 312 (Machine-Level and Systems Programming) and contributes to the development of tools like SimGrid and WRENCH for enabling scalable workflow research. Education and Affiliations: PhD in Computer Science (implied by academic rank and publications) Member of the HPC and distributed systems research community Research Interests: Casanova’s work bridges theoretical HPC concepts with practical implementations. He emphasizes workflow automation, simulator development (e.g., SimGrid for distributed systems), and energy-aware scheduling. His research addresses challenges in large-scale data management, fault tolerance, and resource optimization across HPC, cloud, and cyberinfrastructure platforms. Publications: Recent work includes advancements in workflow benchmarking (WfBench), automated workflow generator tools (WfChef), and simulation-driven scheduling methodologies. His articles frequently explore scalability, reproducibility, and interdisciplinary applications of HPC frameworks. Awards and Recognition: While no specific awards are listed, his extensive contributions to workflow and simulation tools reflect community impact. Grants and Collaborations: Involved in NSF-funded projects (e.g., CyberTraining) and collaborates with institutions like INRIA (France) on tools like SMPI and WRENCH. Labs and Teams: Leads or contributes to research groups focused on distributed systems simulation, workflow automation, and HPC infrastructure optimization at the University of Hawaiʻi.

• High Performance Computing
• Parallel and Distributed Systems
• Workflow Management Systems
• +۴ مورد دیگر

Ken Mai is a Principal Systems Scientist in the Department of Electrical and Computer Engineering at Carnegie Mellon University (CMU), part of the College of Engineering. He holds a B.S., M.S., and Ph.D. in Electrical Engineering from Stanford University. His research focuses on high-performance circuit design, secure IC design, radiation hardening, reconfigurable computing, and computer architecture. He has received prestigious awards including the NSF CAREER Award and the George Tallman Ladd Research Award. Education: Ph.D., Electrical Engineering, Stanford University, 2005 M.S., Electrical Engineering, Stanford University, 1997 B.S., Electrical Engineering, Stanford University, 1993 Research Interests: Dr. Mai’s work addresses challenges in nanometer-scale CMOS technology, including interconnect delay, leakage, and soft errors. His projects include secure IC design against hardware attacks, robust memory techniques using digital communications, 100GHz logic via cryogenic cooling, and bio-implantable computing platforms. He collaborates with neurosurgeons at the University of Pittsburgh for medical applications. Key Projects: Secure IC Design: Countermeasures against invasive/non-invasive attacks Robust Memory Design: Error correction codes for resilience 100GHz Logic: Cryogenically cooled CMOS for high-speed applications Bio-Implantable Systems: Low-power, high-density computing for medical devices Awards: NSF CAREER Award George Tallman Ladd Research Award Eta Kappa Nu Excellence in Teaching Award Teaching and Advising: He teaches courses like 18-322 (Digital Circuits), 18-617 (Memory Systems), and advises students including Mudit Bhargava and Mark McCartney. His lab, the VLSI Design Group, develops tools and methodologies linking circuit design to architectural design. Contact: Email: kenmai@ece.cmu.edu Website: Carnegie Mellon VLSI Design Group

• High-Performance Circuit Design
• Secure IC Design
• Radiation Hardening
• +۴ مورد دیگر

Qiaochu Zhang serves as Assistant Professor in the Charles L. Brown Department of Electrical and Computer Engineering at the University of Virginia, joining in Summer 2024 after industry experience at NXP Semiconductors. His research spans analog/mixed-signal IC design, electronic design automation, and hardware acceleration for complex computational problems. Education: B.S. in Physics (Hons.), Fudan University (2017) Ph.D. in Electrical Engineering, University of Southern California (2024) Research focuses on four interconnected domains: Mixed-Signal VLSI Design : Advanced data converters, frequency synthesizers, and transceivers enabling high-speed wireless systems Electronic Design Automation : Machine learning-driven frameworks for automating analog circuit customization and performance optimization Mixed-Signal Computing : Hardware accelerators for neural networks and NP-hard combinatorial optimization problems Low Power Design : Energy-efficient circuit techniques for portable and embedded applications His publication trajectory (2021-2025) reveals a strategic evolution toward time-domain circuits and analog accelerators, with increasing emphasis on stochastic computing for SAT solvers and memristor-based quadratic programming. Key innovations include ultrafast metastability-resilient solvers and synthesizable TDC architectures that bridge digital precision with analog efficiency. Scientific recognition includes: USC Provost’s Fellowship (2017-2020) USC Ming Hsieh Institute Ph.D. Scholar (2021-2022) IEEE ISSCC Student Travel Grant (2023) IEEE SSCS Predoctoral Achievement Award (2022-2023) Dr. Zhang actively recruits Ph.D. students for his UVA research group, focusing on integrated circuit design and hardware acceleration. Prospective students must apply through UVA's Computer Engineering or Electrical Engineering graduate programs. His research is supported by faculty startup resources and builds on prior industry collaboration with NXP Semiconductors. The research group operates from Rice Hall 309, establishing specialized facilities for mixed-signal/RF circuit prototyping and EDA tool development. Current efforts focus on translating theoretical circuit innovations into practical computing solutions for optimization-intensive applications.

• Mixed-Signal VLSI Design
• Electronic Design Automation
• Mixed-Signal Computing
• +۱ مورد دیگر

Jason Sidney Sanford is an Assistant Teaching Professor in Critical Media Practices at the University of Colorado Boulder, where he teaches at the intersection of sound, sculpture, and performance. With an MFA from the Studio for Interrelated Media at Massachusetts College of Art and a BFA in sculpture from the University of Massachusetts Amherst, Sanford brings a deeply material approach to sonic arts education. His research interests focus on the physical nature of sound and the relationship between the sonic and the somatic. Sanford's work integrates sculpture, performance art, and DIY music culture, with particular emphasis on how sound is inherently physical and how music emerges from bodily action. He has developed a distinctive practice centered around creating sculptural musical instruments from unconventional materials, including scrap metal, household objects, and repurposed electronics. Sanford's creative output demonstrates consistent exploration across multiple dimensions of sound art. His work with custom-built instruments reveals deep investigation into material properties and their sonic possibilities, while his performances and recordings with ensembles Neptune and E showcase innovative approaches to experimental music. Recent work like Submergent (2024) demonstrates sophisticated engagement with analog electronics, particularly through the creative use of 555 Timer IC circuits, exploring the tactile and kinesthetic qualities of electronic sound production that digital systems often obscure. As a performer, Sanford has maintained an active international presence, with extensive touring throughout the United States and Europe. His work bridges academic inquiry with underground music scenes, creating a unique position that values both theoretical exploration and hands-on making. Through his teaching and artistic practice, Sanford emphasizes the importance of material engagement, bodily connection to sound, and the democratization of instrument building through DIY approaches.

• Sound Art
• Sculptural Instrument Building
• Performance Art
• +۴ مورد دیگر

Carlo Bagnoli is a Full Professor of Business Economics at Ca' Foscari University of Venice, affiliated with the Department of Management and Venice School of Management. His roles include leadership in strategic innovation initiatives, teaching excellence, and extensive research coordination. He holds key administrative roles such as Rector's Delegate for Strategy Innovation and oversees Ca' Foscari's innovation projects like the Venice Strategic Innovation Center. Education: High School Certificate in Accounting (1988) Bachelor’s in Economics and Banking (cum laude, 1992) PhD in Business Economics and Management (1997) Research Focus: Strategic innovation, business models, knowledge management, and sustainability. Recent work explores digital transformation, blockchain applications, and eco-design. He coordinates international projects on strategic innovation with Slovenia and Austria. Awards: Multiple teaching excellence awards (2006–2013) Kizok best paper award (2007) Distinguished International Business Scholar (2013) Festival delle Città Impresa Award (2012) Grants & Projects: Secured €2.8M+ in EU and regional funding for projects like Venice Strategic Innovation Center (€962K), Co-generazione di conoscenza (€2.85M), and Innovarea (€1M). Active in advisory roles for regional economic policies and enterprise innovation. Labs/Teams: Leads the Research Institute for Innovation Management. Founded Strategy Innovation Srl, a university spin-off (10% equity). Collaborates with IBM on Master’s programs and cross-disciplinary storytelling projects (Istorie).

• Strategic Innovation
• Business Models
• Knowledge Management
• +۷ مورد دیگر

Professor Annika Götz is a faculty member at Technische Hochschule Ulm (THU), serving as Coordinator of the Preparatory Course for Faculty M (Mechanical Engineering). She holds the academic rank of Professor (Dr.-Ing) and maintains an active research and teaching schedule with student projects documented through late 2023. Research Focus Her primary research areas include the repairability of products, Liquid Metal Printing (LMP) technology, and ergonomic design methodologies. She conducts comparative analyses of LMP against traditional manufacturing processes including cutting, casting, and other 3D printing techniques. Her work examines low-volume applications, manufacturability of large components, and joining options for printed parts. In sustainable design, she develops repair-friendly products and analyzes existing products for maintainability. Her ergonomics research involves creating comprehensive customer typologies and developing products that address multiple user orientations including safety, aesthetics, performance, tradition, ecology, and novelty. Student Supervision Prof. Götz actively supervises numerous bachelor's and student theses, with recent projects including: Design of torsion bar axles for small commercial vehicles (J. Grehl, AL-Ko) Ergonomic development of water consumption devices (H. Thach) Repair-friendly kitchen machines and household waterworks (Z. Atar, F. Appenzeller) Crushed ice dispensing optimization in refrigerators (S. Kuhn) Calibration tools for width change sensors (N. Tobisch, Zwick&Roell) Her students collaborate with industry partners including Diehl Aviation, Wieland AG, ASYS Automation Systems, and Liebherr. Teaching She teaches CAD CAx, Production-oriented design, Construction 2 (machine elements and design theory), Design methodology, and Ergonomics and universal design. Her curriculum directly connects to her research in modern manufacturing techniques and sustainable product development.

• Product Design
• Additive Manufacturing
• Mechanical Engineering
• +۵ مورد دیگر

Harrison Hyung Min Kim is a Professor in the Department of Industrial and Enterprise Systems Engineering at the University of Illinois at Urbana-Champaign (UIUC), holding concurrent appointments at the Beckman Institute, Carle Illinois College of Medicine, and Computational Science and Engineering Program. He currently serves as Program Director for Engineering Design and Systems Engineering at the National Science Foundation (NSF). His educational background includes a B.S. and M.S. in Mechanical Engineering from KAIST and a Ph.D. from the University of Michigan under Panos Papalambros (NAE Member), followed by postdoctoral work at Northwestern University with Wei Chen (NAE Member). Kim's research centers on systems design engineering with focus areas in AI-based sustainable product design, energy systems engineering, life cycle analysis, and multidisciplinary optimization. His work applies to automotive, consumer electronics, and national security systems, funded by NSF, DOE, Caterpillar, and Hyundai. Recent publications (2021-2025) demonstrate a strong shift toward AI-driven analysis of online reviews for product design, pandemic-responsive design strategies, and circular economy implementation. His scientific recognitions include: ASME Design Automation Award (2024) and Fellow (2016) NSF CAREER Award (2010) ASME Kos Ishii-Toshiba Award (2019) UIUC Dean's Research Award (2014) Multiple Reviewers' Choice Awards at ICED conferences Lincoln Arc Welding Competition Medals as faculty advisor Kim advises industry-sponsored capstone projects and has received 12 'List of Teachers Ranked Excellent' honors. He leads the Enterprise Systems Optimization Lab and has served as Co-Director of the Hoeft Technology and Management Program (2020-2025). His editorial roles include Department Editor for IISE Transactions and membership on the ASME Journal of Mechanical Design editorial board.

• Systems Design Engineering
• AI and Machine Learning in Engineering Design
• Data-Driven Product Design
• +۵ مورد دیگر

Assoc. Prof. Dr. Murat Baskak is an Associate Professor at Istanbul Technical University (ITU), affiliated with the Department of Business Administration and Industrial Engineering. He holds a PhD in Industrial Engineering from ITU. His academic career spans over three decades, including roles such as Vice Dean and Head of Department at ITU. His research focuses on Supply Chain Management, Production Systems, and Logistics, with contributions to warehouse design optimization, intellectual capital analysis, and manufacturing process efficiency. He has authored numerous books and peer-reviewed articles, including works on green logistics and facility layout applications. Dr. Baskak's educational background includes a PhD (1991-1998), Master's, and Bachelor's degrees in Industrial Engineering from ITU. His professional experience includes academic and administrative leadership roles since 1989. He is a member of several professional associations, including the Logistics Association and the Chamber of Mechanical Engineers. His research emphasizes practical applications in textile and manufacturing industries, sustainable logistics, and supply chain optimization. Key research areas include hierarchical warehouse design, reverse logistics networks, and the integration of production planning with inventory systems. His work often bridges theoretical models and real-world industrial challenges, particularly in Turkey's manufacturing sectors. Dr. Baskak's contributions span academic publications, conference presentations, and industry collaborations, reflecting his commitment to advancing operational efficiency and sustainability.

• Supply Chain Management
• Production Systems
• Industrial Engineering
• +۶ مورد دیگر

Forrest Sheng Bao is an Assistant Professor of Computer Science at Iowa State University (ranked 63rd in U.S. CS departments). His research focuses on AI, NLP, EDA, and medical data analytics. He holds a Ph.D. in Computer Science (with Electrical Engineering minor) from Texas Tech University (2012), followed by a postdoc at Stony Brook University. Previously, he served as an Assistant Professor at the University of Akron (2013–2017). His work is funded by NSF, FAA, AFRL, Microsoft, and others, with media coverage in MIT Technology Review and Lancet Neurology. Education: Ph.D., Computer Science (minor in Electrical Engineering), Texas Tech University, 2012 Postdoc, Stony Brook University (2012–2013) Research Interests: AI/ML, NLP (NLG metrics, review analysis), EDA (circuit routing, HDLs), medical signal/image processing (EEG/MRI). His publications span top conferences like ACL, NAACL, EMNLP, DAC, and DATE, with notable work in EDA using reinforcement learning and NLP metrics. He advises students on NLP and EDA projects, co-founding startups Funix.io and Codepod.io. His lab focuses on applying ML to PCB/IC design and biomedical applications. Awards: Best Paper Award at HPCC 2019, NSF grants totaling $462k. Teaching: Courses in NLP, Machine Learning, and Python. Actively mentors students through research and TA/RA opportunities. He engages in entrepreneurship (AI and hardware startups) and maintains active GitHub repositories for educational projects like PyEEG and Mercury.

• Artificial Intelligence
• Natural Language Processing
• Electronic Design Automation (EDA)
• +۳ مورد دیگر