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Baijian YangView profile

Professor

• Cybersecurity
• Big Data
• Applied Machine Learning
• +4 more

Dr. Baijian "Justin" Yang serves as the Associate Dean for Research at Purdue Polytechnic Institute and is a Professor in the Department of Computer and Information Technology at Purdue University. He earned his Ph.D. in Computer Science from Michigan State University, with Master's and Bachelor's degrees in Automation (EECS) from Tsinghua University. Dr. Yang has established himself as a leader in multiple interdisciplinary research domains. Dr. Yang's educational background includes: PhD in Computer Science, Michigan State University (2002) MS in Automation (EECS), Tsinghua University (1998) BS in Automation (EECS), Tsinghua University (1995) His research interests span multiple cutting-edge domains with practical applications: Cybersecurity : Developing novel approaches for threat intelligence, security education, and network defense Big Data : Creating innovative algorithms for dimension reduction, regression with categorical variables, and tensor decomposition Applied Machine Learning : Implementing AI solutions in healthcare, manufacturing, and forestry applications Digital Forestry : Using UAV imagery and remote sensing for forest management and tree species classification Dr. Yang's publication record demonstrates significant impact across multiple disciplines, with recent work focusing on spatial transcriptomics analysis (SiGra), delirium detection using limited-lead EEG, and visual localization technologies. His research bridges theoretical advances with practical applications in healthcare, manufacturing quality control, and environmental monitoring. The interdisciplinary nature of his work is evident in collaborations spanning computer science, healthcare, forestry, and manufacturing domains. His scientific achievements have been recognized with numerous awards: 2023 HRSA Building Bridges to Better Health Competition Winner (Phase 1) and 2nd place ($100,000 prize) in Phase 3 2023 Outstanding Faculty Award in Engagement, Department of Computer and Information Technology, Purdue University 2021 Leadership in Manufacturing Award, Manufacturing Times Digital (MxD) 2021 Good to Great Award, Purdue Polytechnic 2020 Outstanding Faculty Award in Discovery, Department of Computer and Information Technology 2019 University Faculty Scholars, Purdue University As an educator and mentor, Dr. Yang has advised numerous graduate students through their PhD and Master's research. His leadership extends to significant service roles including serving as Faculty Champion for the Holistic Safety and Security research impact area at Purdue Polytechnic from 2018 to 2021, board membership with ATMAE (2014-2016), and participation in the IEEE Cybersecurity Initiative Steering Committee (2015-2017). He holds valuable industry certifications including CISSP, MCSE, and Six Sigma Black Belt, demonstrating his commitment to bridging academic research with industry practice. Dr. Yang leads multiple research projects including "Digital Forestry" for developing tools to quantify forest function, "CHEESE" (Cyber Human Ecosystem of Engaged Security Education), and "CICI" (Supporting Controlled Unclassified Information with a Campus Awareness and Risk Management Framework). His work on "Applied Machine Learning" focuses on solving real-world problems, while his "Dimension Reduction and Memory Amnestic Big Data Regression" project innovates computational algorithms for large-scale data analysis.

Wolfgang KunzView profile

Professor

• Hardware Safety and Security
• Formal Hardware Verification
• Embedded Computing Systems
• +5 more

Wolfgang Kunz is a Full Professor (C4, W3) and Chair of Electronic Design Automation at the Technische Universität Kaiserslautern since 2001. His academic career spans multiple prestigious institutions, including Goethe-University Frankfurt/Main and the University of Massachusetts, Amherst. He has held leadership roles such as Dean (2005-2007) and Vice-Dean (2007-2009) at TU Kaiserslautern. Habilitation (Dr. rer. nat. habil.), Computer Science, University of Potsdam (1996) Doctoral degree (Dr.-Ing.), Electrical Engineering, University of Hannover (1992) Dipl.-Ing. degree, Karlsruhe Institute of Technology (1989) His research focuses on hardware verification, security, and optimization, particularly in embedded systems and processors. His work on formal verification methods has been commercialized by companies like Synopsys, Mentor Graphics, and Siemens EDA. His 2016-2021 publications address critical security issues such as Spectre/Meltdown and introduce innovative verification frameworks adopted by industry leaders like Infineon and OneSpin Solutions. Scientific awards include the IEEE Fellow (2006), German IT Society Award (2005), and TU Kaiserslautern Distinguished Teaching Award (2016). He has served on editorial boards of major journals and coordinated the Erasmus Mundus European Master Program in Embedded Computing Systems since 2010. Key students: Jörg Bormann, Raik Brinkmann, Tobias Ludwig Collaborations: Siemens EDA, Infineon, AbsInt, Intel SCAP Spin-offs: LUBIS EDA, OneSpin Solutions

Susanne PredigerView profile

Professor

• Mathematics Education
• Teacher Professional Development
• Educational Technology
• +4 more

Susanne Prediger is a Professor at the Institute for Development and Research in Mathematics Education (IEEM) at Technische Universität Dortmund and Vice Director of the Department of Subject-Related Knowledge Transfer at the Leibniz Institute for Science and Mathematics Education (IPN). She directs the DZLM research network (German Center for Mathematics Teacher Education) and holds leadership roles in mathematics education research. Her research focuses on: Design and Research on Professional Development of Mathematics Teachers and Facilitators Topic-Specific Design Research in Mathematics Education for Secondary Schools Diversity in Classrooms (especially Language Diversity) Empirical Studies on Students' Conceptions in Arithmetic, Algebra, and Stochastics Networking of Theories in Mathematics Education Research Recent work explores AI-driven formative assessment, educational innovation implementation, and inclusive pedagogical strategies for teaching percentages. She leads projects like ALwAI, Startchancen-Kompetenzzentrum Mathematik, and DigiProMIN. Current roles include: Vice Director (half-time), Department of Subject-Related Knowledge Transfer, IPN Director of DZLM Research Network, IPN (since 2021) Full Professor at IEEM, TU Dortmund University (since 2006) Her academic background spans Mathematics and History studies at Technical University of Darmstadt and Université Bordeaux I, a PhD in Mathematical Logic and Universal Algebra (1998), and a Habilitation in Mathematics Education (2004).

Paul TaeleView profile

Academic

• Sketch Recognition
• Human-Computer Interaction (HCI)
• Artificial Intelligence
• +5 more

Paul Taele is an Instructional Assistant Professor and Deputy Lab Director in the Sketch Recognition Lab at Texas A&M University's Department of Computer Science & Engineering. He holds a Ph.D. (2019), M.S. (2010), and dual B.S. degrees in Computer Science and Mathematics from the University of Texas at Austin (2006). His research focuses on sketch recognition, haptics, and intelligent interfaces for education and accessibility, with notable work in mid-air gesture recognition, educational sketching tools, and assistive technologies for disabilities. He has contributed to projects like Kanji Workbook , Hashigo , and HaptiMoto , and has published over 50 peer-reviewed articles across venues like CHI, IUI, and AAAI. Taele has received awards including the NSF Student Travel Grant (2014) and Ford Foundation Honorable Mention (2015). He teaches courses in capstone design, programming, and sketch recognition, and mentors students across all academic levels through strict eligibility criteria for research collaborations. Education : Ph.D. Computer Science, Texas A&M University (2019) M.S. Computer Science, Texas A&M University (2010) B.S. Computer Science & Mathematics, University of Texas at Austin (2006) Concentration in Mandarin Chinese, National Chengchi University (2007) Research Interests : Taele's work bridges HCI and AI to create accessible educational interfaces. His projects emphasize: Sketch Recognition : Developing algorithms for mid-air gestures, children's developmental assessments, and language learning Accessibility : Haptic systems for visually impaired learners and algebra education Educational Tech : Intelligent tutoring systems for music, math, and East Asian languages Awards & Grants : EAAI-20 Travel Grant (2020) Ford Foundation Dissertation Honorable Mention (2015) NSF East Asia-Pacific Summer Institutes (2013, 2012) Royce E. Wisenbaker Fellowship (2009) Lab & Teams : Director of the Sketch Recognition Lab (SRL) and collaborator with global institutions like Singapore Management University and National Taiwan University. Active in organizing workshops like SketchRec at IUI conferences.

Johanna HeitzerView profile

Professor

• Mathematics Education
• Teacher Training and Professional Development
• Curriculum Development
• +7 more

Prof. Dr. Johanna Heitzer is a University Professor for Mathematics Education at RWTH Aachen University since 2011. She leads the Teaching and Research Area of Mathematics Education within the university's mathematics department. Her office is located in Room 352 of the Kreuzherrenstraße 2 building in Aachen. She serves as co-editor of the journal 'mathematik lehren,' co-author of the 'Mathematics - New Ways' textbook series, and holds numerous committee positions including membership in the Faculty Advisory Board and Structural Commission of the Center Council. 1989: High school diploma 1989-1994: Mathematics and Physics Teacher Training at RWTH Aachen 1994-1996: Traineeship at Aachen Teacher Training College 1997: Research assistant at University of Münster 1998-2007: Mathematics and Physics teacher at Korschenbroich Gymnasium 2007-2010: Scientific assistant and doctorate at RWTH Aachen 2011-present: University Professor at RWTH Aachen Professor Heitzer's research focuses on the training and further education of mathematics teachers, development of contemporary teaching materials, applied and interdisciplinary mathematics, and the transition from school to university. Her work emphasizes concept formation, linguistic communication in mathematics, and the historical development of mathematical ideas as teaching resources. She investigates mathematics-specific learning and cognitive processes through multiple research projects including the Aachen school-university project iMPACt. Her recent scholarly output demonstrates a strong trend toward integrating digital technologies in mathematics education, particularly 3D printing and e-learning tools. She has increasingly focused on the social relevance of mathematics, exploring concepts of fairness, sustainability, and citizen empowerment through mathematical modeling. Her work bridges theoretical mathematics education with practical classroom applications, maintaining a strong connection to both historical perspectives and contemporary educational challenges. Special prize from Sparkasse Bad Hersfeld-Rotenburg for best mathematics Abitur (1989) Borchers Plaque for doctoral examinations passed with distinction (2011) DMV honor as Mathemaker of the Month (2013) Brigitte Gilles Prize 2013 for the MINT-L4 Center Professor Heitzer has supervised numerous doctoral students, serving as primary or secondary advisor for at least nine PhD dissertations between 2016-2021. Her research projects include the School-University Project MathePlus Aachen (iMPACt), e-Learning 'Mathematics for Civil Engineers,' and the development of mathematics items for StudiChecks NRW. She has secured funding through the Quality Initiative for Teacher Education (both phases) and participates in the ComeIn project focused on digitalization in teacher training. Her grants consistently emphasize practical applications of mathematics education research with direct impact on classroom practice. As a founding member of the MINT-L4@RWTH center and initiator of the working group Mathematical Education for Sustainable Development, Professor Heitzer has established significant collaborative structures. She participates in the Subject Didactics Forum at the Teacher Training Center of RWTH Aachen and has served in leadership roles including Chair of the Center Council (2014-2016) and Board member of the Teacher Training Center (2014-2017). Her work connects with national and international networks through her membership in the Society for Mathematics Education (GDM), the German Association for Mathematics and Science Education (MNU), and the German Mathematical Society (DMV).

John WawrzynekView profile

Professor

• Computer Architecture
• Reconfigurable Computing
• Wireless Systems
• +3 more

John Wawrzynek is a Professor of Electrical Engineering and Computer Sciences at the University of California, Berkeley. He is affiliated with the Department of Electrical Engineering and Computer Sciences in the College of Engineering and serves as Co-Director of the Berkeley Wireless Research Center and Co-PI of the CONIX Research Center, one of the six centers in the Joint University Microelectronics Program sponsored by DARPA. Dr. Wawrzynek received his B.S. in Electrical Engineering from SUNY, Buffalo (1977), M.S. in EE from the University of Illinois, Urbana/Champaign (1979), and Ph.D. in Computer Science from Caltech (1987). Before joining the Berkeley faculty in 1988, he worked as a consultant at Schlumberger Palo Alto Research. His research focuses on Computer Architecture, Reconfigurable Computing, Wireless Systems, and Integrated Circuit and System Design . His work spans both theoretical foundations and practical implementations, with particular emphasis on FPGA-based computing systems, reconfigurable architectures, and wireless communication systems. His research group has made significant contributions to the field of reconfigurable computing, including the development of the Garp architecture and various tools for reconfigurable computing systems. Analysis of his recent publications (2022-2025) reveals continued focus on reconfigurable computing, FPGA design, wireless networking, and formal methods for hardware verification. His work shows an evolution from traditional computer architecture towards specialized hardware acceleration, machine learning for EDA, and wireless systems research, with particular emphasis on SAT sampling, differentiable computing, and efficient FPGA implementation of neural networks. DAC's Most Influential Paper Award (2025) NSF Presidential Young Investigator (PYI) (1989) Charles Lee Powell Fellowship (1985) NASA Certificate of Recognition (1983) Rensselaer Engineering and Science Medal (1975) Professor Wawrzynek has advised numerous graduate students throughout his career, many of whom have gone on to prominent positions in both industry and academia including Google, Xilinx, and MIT Lincoln Laboratory. His research has been supported by various grants from NSF, DARPA, and industry partners. He leads the Berkeley Wireless Research Center, which focuses on next-generation wireless communication systems and technologies, and is actively involved in the CONIX Research Center which explores connected intelligence at the network's edge.

• Mathematics Education
• Geometry
• Pedagogy
• +2 more

Michael Weiss is a Lecturer in the Department of Mathematics at the University of Michigan. He teaches foundational courses such as Linear Algebra (MATH 217) and Explorations in Euclidean Geometry (MATH 431). His office is located in East Hall (Room 1868) at 530 Church Street, Ann Arbor, MI. Current Courses: MATH 217-004 (Linear Algebra), MATH 217-011 (Linear Algebra), MATH 431-001 (Explorations in Euclidean Geometry) Weiss’s research focuses on mathematics education, particularly on pedagogical strategies for teaching geometry and mathematical reasoning. His work explores the use of visual representations, interactive technologies, and narrative tools (e.g., comics) to enhance learning and teacher development. He emphasizes the role of theory-building in secondary geometry instruction and investigates how students translate abstract mathematical concepts into concrete reasoning. His publications highlight interdisciplinary approaches to education, integrating technology (e.g., animated stories, voice assistants) with traditional teaching methods. Keywords across his work include Mathematics Education , Geometry , Interactive Media , Visual Learning , and Teacher Training . Contact: mweiss@umich.edu

Janet WalkoeView profile

Associate Professor

• Mathematics Education
• Algebra Teaching & Learning
• Teacher Noticing
• +3 more

Dr. Janet Walkoe is an Associate Professor in the Department of Teaching and Learning, Policy and Leadership at the University of Maryland. Her work focuses on mathematics education, particularly algebra teaching and learning, and the role of teacher noticing in responsive instruction. She holds a Ph.D. in Learning Sciences from Northwestern University (2013), an MS in Mathematics from the University of Illinois at Chicago, and a BA in Mathematics from the University of Chicago. Before academia, she taught high school mathematics for a decade, earning National Board Certification. Her research emphasizes how teachers attend to student algebraic thinking during instruction and how pre-service teachers can develop noticing skills through video analysis. Key areas include teacher responsiveness, multimodal algebraic thinking, and computational thinking integration in mathematics education. She has led the NSF-funded CAREER grant (2020) exploring teacher noticing of student thinking, and co-authored influential works like Lenses for examining students’ mathematical thinking (2014), which earned an NCTM award. Notable Grants: NSF CAREER DRL 17-537 ($736,914), INFACT Subaward ($250k), Spencer Foundation Grant ($44k) Teaching: Courses include Interdisciplinary Teaching in Middle Grades (TLPL 423/424), Elementary Mathematics Education (EDCI 652), and Foundations of Mathematics Education (EDCI 751) Professional Development: Develops video-based tools for teacher reflection and computational thinking integration Walkoe advocates for culturally sustaining pedagogy and equity in teacher education. Her recent work bridges computational thinking with mathematics instruction, emphasizing interdisciplinary approaches to foster student engagement.

Lena WesselView profile

Professor

• Mathematics Education
• Teacher Training
• Language Development in Education
• +4 more

Prof. Dr. Lena Wessel is a Mathematics Education faculty member at the Department of Mathematics Didactics, Faculty of Electrical Engineering, Computer Science and Mathematics, University of Paderborn. She leads teacher training programs and participates in university governance as elected Faculty Council member. Research Focus: Her work centers on comprehension-oriented mathematics instruction at secondary/vocational levels, emphasizing language development, continuity in curriculum design (spiral principle), and digital mathematics tools. As DZLM network partner, she develops professional development programs for secondary educators. LiaNMU project (scalar products, plane reflections) VioLa project (digital discussion formats) LLV.HD project (cross-university learning networks) Key Contributions: She has coordinated major projects like MESUT (language-supported fraction understanding) and LaMaVoC (language in vocational mathematics). Her 2024 publications analyze language-integrated pedagogy and algebraic concept unification in teacher training.

Jeff ZhangView profile

Assistant Professor

• Deep learning
• Computer architecture
• Embedded systems
• +5 more

Jeff Zhang is an Assistant Professor in the School of Electrical, Computer and Energy Engineering at Arizona State University. He joined ASU in January 2023 after completing a postdoctoral fellowship at Harvard University. His research spans deep learning, computer architecture, embedded systems, and EDA, with particular emphasis on energy-efficient and fault-tolerant design for AI/ML systems and hardware accelerators. Education: Ph.D., New York University M.Eng., B.Eng., Hunan University Dr. Zhang's research bridges theoretical machine learning with practical hardware implementation, developing novel architectures that optimize performance, power consumption, and reliability. He has pioneered approaches for hardware acceleration of large language models, efficient sparse matrix operations, and novel memory technologies for AI workloads. His work has received multiple awards including IEEE Top Picks in Test and Reliability (2023) and IEEE Micro Best Paper Award (2022). His recent publications demonstrate a strong trend toward heterogeneous computing, with significant work in chiplet-based AI accelerators, photonic computing for AI, and 2.5D/3D integration techniques. The research spans from high-level compiler frameworks to circuit-level innovations, with a consistent theme of co-designing algorithms and hardware for optimal AI performance. His work on the SODA toolchain has been particularly influential in bridging Python to silicon. Scientific Awards: IEEE Top Picks in Test and Reliability, IEEE ITC, 2023 Best Paper Award, IEEE Micro, 2022 Best Paper Award Candidate, IEEE DATE, 2022 Best Presentation Award Nomination, ACM SIGDA DATE PhD Forum, 2020 Best Paper Award Nomination, IEEE VLSI Test Symposium, 2018 Ernst Weber Ph.D. Fellowship, New York University, 2015, 2016 Dr. Zhang actively mentors a diverse group of graduate and undergraduate students, with several alumni now working at leading technology companies including Apple, TSMC, and Ansys. His research is supported by prestigious grants from NSF, Sandia National Labs, and industry partners. He serves on technical program committees of numerous top conferences and has organized special sessions on emerging topics like Gen AI for Chip Design and LLM-Aided Design. Dr. Zhang leads a vibrant research group that collaborates extensively with industry partners and national laboratories. Current projects focus on next-generation AI hardware, including chiplet-based systems, photonic accelerators, and novel memory technologies for large language models. His group has developed several open-source tools and frameworks, including the SODA toolchain for bridging Python to silicon.

• Control Technology
• Distributed Optimization
• Machine Learning
• +4 more

Mikael Johansson is a Professor at Kungliga Tekniska Högskolan (KTH), specializing in Control Technology . He teaches and coordinates courses such as Distributed Optimization (FEL3311) and various advanced-level degree projects in computer science, electrical engineering, and systems engineering. His research spans Control Systems , Machine Learning , and Optimization , with a focus on asynchronous algorithms, federated learning, and applications in energy systems and construction. His work includes 15 recent publications on topics like neural networks, distributed optimization, and battery technology. Notable areas of contribution are in asynchronous learning, federated learning with privacy constraints, and quasi-Newton methods for optimization. His research bridges theoretical advancements with practical applications in urban design, healthcare, and autonomous systems.

• Mathematics Education
• History of Mathematics
• Semiotic Mediation
• +5 more

Michela Maschietto is a Full Professor at the Department of Education and Human Sciences, University of Modena and Reggio Emilia, with a focus on mathematics education methodology and historical mathematical artifacts. She previously held positions at the Mathematics campus and leads the Laboratory of Mathematical Machines. Research Interests: Her work bridges physical and digital tools in mathematics education, emphasizing semiotic mediation, argumentation development, and historical instrument reconstruction for pedagogical purposes. She explores geometric-mechanical artifacts for calculus concepts and investigates connections between spatial/geometrical knowledge. 2025 study on geometry education trends using didactic tetrahedron model 2024 research on physical-digital tool integration for argumentative skill development 2023 projects involving tactile calculus devices and conic section machines Teaching Activities: She designs mandatory laboratory components for primary education students, covering national guidelines, semiotic mediation theory, and historical artifacts like abacuses and programmable robots. Her courses emphasize problem-solving, geometric visualization, and standardized assessment analysis. Laboratory Involvement: As head of the Mathematical Machines Laboratory, she organizes exhibitions and workshops using reconstructed historical instruments for mathematics popularization. This includes collaborations with international researchers on topics like the Pythagorean theorem and conic sections.

Mislav BalkovićView profile

Associate Professor

• Data Science
• Education Policy
• Labor Market Analysis
• +7 more

Mislav Balković is an Associate Professor at Algebra University of Applied Sciences, where he has served as Director and Dean since 2000 and 2009, respectively. He drives strategic development for the Algebra Group and contributes to national education policy through roles in expert bodies like the National Council for Science, Higher Education and Technology, and the Accreditation Council of the Agency for Science and Higher Education. Education: PhD (2016) from Faculty of Electrical Engineering and Computing, University of Zagreb Bachelor’s and Master’s degrees from Faculty of Electrical Engineering and Computing, University of Zagreb Research Interests: Mislav’s work bridges Data Science with applications in labor market dynamics , education policy , qualification frameworks , and energy systems . His projects focus on smart grid optimization, digital identity protection, and AI-driven educational reforms. Publications Trends: His recent articles emphasize cross-disciplinary applications , including brain-computer interfaces for image generation, EU labor market analysis , and smart grid resilience . Earlier works explore blockchain-based academic credentials and data analytics in auditing . Grants and Projects: He has led ~50 EU and domestic projects , spanning smart tourist management , lean methodologies for screen creators , and ICT services for alternative communication . His policy work includes drafting laws on adult education and higher education reform. Leadership: Vice President of the Croatian Employers' Association in Education (HUP-UPO) and past President of the Sectoral Council for Electrical Engineering and Computing.

• Logic Synthesis
• Digital Circuit Design
• Machine Learning
• +3 more

Andrea Costamagna is a researcher affiliated with the École Polytechnique Fédérale de Lausanne (EPFL), working within the School of Computer and Communication Sciences and the Department of Communication Systems. His research focuses on logic synthesis, digital circuit design, and the intersection of machine learning with hardware implementation. His work includes optimizing digital circuits using techniques like resynthesis, resubstitution, and decomposition, with applications in FPGA design and low-power systems. Recent publications explore symmetry-based synthesis, glitch-aware power minimization, and the use of resistive switching devices in machine learning hardware. His research also extends to quantum physics modeling with deep learning.

Martin HenzView profile

Associate Professor

• Programming Languages
• Software Engineering
• Artificial Intelligence
• +8 more

Martin Henz is an Associate Professor at the National University of Singapore , affiliated with the School of Computing and its Department of Computer Science . His academic journey includes an M.Sc. in Computer Science from Stony Brook University (1993) and a Dr.rer.nat. in Computer Science from Saarland University (1997). He has also worked as a Research Scientist at the German Research Centre for Artificial Intelligence. Research Focus : Scalable Experiential Learning, Systems for Teaching/Learning, AI in Education, Programming Languages, Algorithms, and Constraint Programming. Key Projects : Source Academy (immersive programming environment), Deep Teaching (LMS enhancements), and NUS Seafarers (maritime experiential learning). Publications span education technology, programming languages, and sustainable engineering, with recent works focusing on JavaScript-based pedagogy, automated question generation, and electric vehicle conversions. He supervised Rahul Singhal 's PhD, leading to the educational startup Cerebry, and co-founded Workforce Optimizer Pte Ltd with Alan Sevugan. Awards : NUS Annual Digital Education Award (2021) NUS Annual Teaching Excellence Award (2016/17) Fulbright Scholarship (1990) Startup @ Singapore Champion (2001)