Find Academic Supervisors

• Molecular Recognition in Water
• Organic Chemistry
• Nanoparticle Receptors
• +5 more

Roshan Gunasekara serves as an Assistant Professor in the Department of Neurology at Yale School of Medicine, where he leads the Gunasekara Lab and collaborates with the Grutzendler Lab. His academic journey includes a PhD in Organic Chemistry from Iowa State University (2016) and undergraduate studies in Chemistry at the University of Peradeniya (2010). Dr. Gunasekara's research focuses on molecular recognition in aqueous environments, with particular expertise in designing synthetic receptors for carbohydrates, peptides, and lipids. His work bridges organic chemistry, nanotechnology, and neuroscience applications, developing innovative tools for molecular sensing and isolation. Key research areas include water-soluble fluorescent foldamers, cooperatively enhanced receptors, and nanoparticle-based systems for biomolecular recognition. His publication record demonstrates consistent high-impact contributions to the fields of supramolecular chemistry and molecular recognition, with numerous articles in prestigious journals including Journal of the American Chemical Society and Chemical Communications. His research shows a clear progression from fundamental molecular recognition principles to applications in extracellular vesicle isolation and neuroscientific contexts. Yale Center for Clinical Investigation Award (2019) The Alpha Chi Sigma Research Award (2016) Graduate Research Symposium Award (2015) Frank J. Moore and Thoreen Beth Moore Fellowship Award (2015) Dr. Gunasekara maintains active research collaborations with prominent scientists including Frederic Pincet, Sathish Ramakrishnan, and Themis Kyriakides. His work has significant implications for diagnostic tools, drug delivery systems, and fundamental understanding of molecular interactions in biological systems.

• Comparative Literature
• Romance Literature
• Literary Anthropology
• +6 more

Irene Albers is a full Professor at Free University of Berlin's Department of Philosophy and Humanities, holding dual appointments at the Peter Szondi Institute for General and Comparative Literature and Institute for Romance Philology since 2004. She chairs both the Examination Board and Doctoral Committee for General and Comparative Literature, serves as Trustee of Studienstiftung des deutschen Volkes since 2004/05, and has been Principal Investigator for the Friedrich-Schlegel Graduate School for Literary Studies and Cluster Languages of Emotion since 2007. Her research bridges comparative literature, anthropology, and visual culture with institutional leadership spanning editorial projects and international conferences. Her educational background includes: Born in Bremen (1967) Romance Studies, Philosophy, and German Studies at Universities of Tübingen, Tours, and Konstanz M.A. from University of Konstanz (1993) Ph.D. from University of Konstanz (1999) on literature and photography in Émile Zola, Proust, and Claude Simon Albers' core research examines literary anthropology through colonial/postcolonial lenses, focusing on French literary engagement with Africa, surrealism, and literature-photography intersections. She pioneered studies on Michel Leiris' ethnological poetics and Claude Simon's photographic techniques, extending to historical emotion research (anatomy of affects, body language) and romance novella traditions. Her work consistently challenges Eurocentric literary canons through primitivism critique and heteronomy aesthetics, emphasizing textual restitution and cultural reclamation. Recent publications (2018-2025) reveal a sharp turn toward colonial restitution ethics, particularly in oral literature provenance. Articles increasingly analyze literature as colonial loot, connecting French modernism with African/Caribbean contexts through collaborative projects with anthropologists like Eléonore Devevey. This trajectory builds from earlier surrealist studies to concrete frameworks for decolonizing literary scholarship, spotlighting institutional complicity in cultural appropriation while advancing symmetrized modernity revisions. Scientific awards include: Senior Fellow and Prize Winner of the Zukunftskolleg, University of Konstanz (2009) Albers supervises master's and doctoral students through dedicated AVL colloquia while securing major research funding as Principal Investigator for Friedrich-Schlegel Graduate School (2007-present) and Cluster Languages of Emotion (2007-2012). Her current DFG-funded project 'Literature as Colonial Loot?' with Andreas Schmid pioneers philological provenance research. Earlier, she contributed to Collaborative Research Center 511 'Literature and Anthropology' (Konstanz, 1999-2002) and DFG-funded conferences on Claude Simon. She leads the DramaNet research project and co-edits the 'machina' series at transcript Verlag since 2010. As board member (2007-2009) and deputy (2008-2012) of Cluster Languages of Emotion, she coordinates Area D 'Cultural Codings of Emotions'. Her Zukunftskolleg fellowship (2012-2013) and Marcel Proust Society collaborations underscore sustained engagement with literary anthropology networks.

• Artificial Intelligence in Education
• Science Education
• Self-Regulated Learning
• +5 more

Yael Feldman Maggor is a Postdoctoral Fellow at KTH Royal Institute of Technology, affiliated with the Media Technology & Interaction Design Division and the Digital Futures research center. Her work bridges educational technologies, artificial intelligence, and science education, with a focus on enhancing pedagogy through innovative tools. Research Themes: Generative AI in education, self-regulated learning, learning analytics, chemistry education, and ethical considerations in AI integration. Key Projects: Contributions to the International Journal of Science Education, development of AI-driven evaluation frameworks, and pandemic-era online teaching analysis. Methodologies: Expertise in quantitative and qualitative research, educational data mining, and design of interactive learning platforms. Recent publications emphasize cross-cultural trust in AI, generative AI applications in chemistry education, and explainable AI for teacher professional development. She co-authored studies on nanotechnology courses for educators and self-regulation strategies in online learning environments.

He BingshengView profile

Professor

• Big Data Systems
• Cloud Computing
• High Performance Computing
• +4 more

Professor He Bingsheng is a faculty member at the Department of Computer Science, School of Computing, National University of Singapore (NUS), where he also serves as Vice-Dean, Research. He holds a Ph.D. in Computer Science from the Hong Kong University of Science & Technology (2008) and dual bachelor’s degrees in Computer Science & Engineering and Business Administration from Shanghai Jiao Tong University (2003). Education: Ph.D. (HKUST, 2008), B.E./B.B.A. (SJTU, 2003) Prior roles: Microsoft Research Asia (2008-2010), Nanyang Technological University (NTU), Singapore His research focuses on Big Data management systems , particularly on cloud computing and emerging hardware architectures (GPU, FPGA, NVM). He has led projects like ThunderGP, a novel FPGA-accelerated graph processing framework achieving 419x speedup for Covid-19 prevalence estimation. His work spans parallel/distributed systems and graph algorithms , with publications in ACM SIGMOD, VLDB, SC, and IEEE Transactions. The selected articles highlight his contributions to GPU/FPGA optimization , LLM applications , and graph analytics . He has received multiple best paper/demo awards, including IEEE/ACM ICCAD (2017), IEEE IC2E (2016), and ACM SIGMOD (2008). As a PC chair and editorial board member for journals like IEEE TPDS and TCC, he actively shapes academic discourse. PhD Students: Chen Xinyu, Tan Hongshi Courses Taught: CS4225/5425 Big Data Systems for Data Science

Moncef GabboujView profile

Professor

• Machine learning
• Artificial intelligence
• Signal processing
• +9 more

Professor Moncef Gabbouj is a distinguished academic and researcher currently serving as Professor of Signal Processing at the Department of Computing Sciences, Faculty of Information Technology and Communication Sciences, Tampere University, Finland. Previously, he held the same position at Tampere University of Technology before the merger in 2019. He has also held visiting professorships at prestigious institutions including Hong Kong University of Technology and Science, University of Southern California, and Purdue University. Ph.D. and MSc. in Electrical Engineering from Purdue University, USA (1989 and 1986) B.Sc. in Electrical Engineering from Oklahoma State University, USA (1985) Prof. Gabbouj's research spans multiple domains within signal and image processing, with a strong focus on machine learning applications. His primary research interests include artificial intelligence, machine learning, Big Data analytics, multimedia content-based analysis, indexing and retrieval, nonlinear signal and image processing, voice conversion, and video processing and coding. His work bridges theoretical advancements with practical applications across various industries, particularly in multimedia communications and biomedical applications. His extensive publication record demonstrates a clear evolution from traditional signal processing techniques toward more sophisticated machine learning and deep learning approaches. Recent work shows increasing focus on convolutional neural networks for various applications including ECG classification, video processing, financial time-series analysis, and image recognition tasks, reflecting the broader trend in the field toward deep learning methodologies while maintaining strong foundations in signal processing theory. IEEE Fellow (2011) Member, Finnish Academy of Science and Letters (2014) Knight, First Class, of the Order of the White Rose of Finland (2006) Nokia Foundation Recognition Award (2005) Nokia Foundation Visiting Professor Award (2012) Finnish Cultural Foundation for Art and Science Award (2017) TUT Foundation Grand Award (2015) Prof. Gabbouj has supervised 64 doctoral and 72 Master's theses, demonstrating his significant contribution to academic mentoring. His research has been supported by substantial funding, including research grants totaling 8.5 million Euro (2001-2015). He has served as Academy of Finland Professor during 2011-2015 and has been involved in numerous EU research projects including Horizon, ESPRIT, HCM, IST, COST, Tempus and Erasmus programs. As Editor, Guest Editor or member of the Editorial Board of 6 international scientific journals, he has significantly influenced the academic discourse in his field. He leads the Signal Analysis and Machine Intelligence (SAMI) research group at Tampere University and serves as the Finland Site Director of the NSF IUCRC funded Center for Visual and Decision Informatics. His research unit focuses on applying advanced machine learning techniques to solve complex problems in signal processing, computer vision, and multimedia analytics, with applications ranging from healthcare to multimedia communications and financial analysis.

Hui PanView profile

Professor

• Networking
• Complex networks
• Mobile computing
• +3 more

Hui Pan is a distinguished academic holding dual positions as Nokia Chair in Data Science and Professor of Computer Science at the University of Helsinki, and Chair Professor of Computational Media and Arts at the Hong Kong University of Science and Technology (HKUST). His research spans networking, mobile computing, augmented reality, and computational social science. He earned his Ph.D. in Computer Science from the University of Cambridge in 2007. His work bridges social networks with mobile systems, pioneering fields like mobile social networks and opportunistic forwarding algorithms. Research interests include data science, complex networks, and innovative applications of augmented reality. His recent publications focus on low-latency AR frameworks, blockchain for computation offloading, and mobile web visualization. He has received prestigious awards, including IEEE Fellow (2018), ACM Distinguished Scientist (2016), and the Nokia Chair Endowment (2017). He has supervised over 15 PhD and 12 MPhil graduates, with 13 current Ph.D. students and 2 MPhil students. His editorial roles include Associate Editorships at IEEE Transactions journals and guest editorships at top venues like IEEE JSAC and ACM Transactions. He has organized conferences such as WWW Track Chair and ExtremeCom General Chair.

• Collective Intelligence
• Temperament and psychobiology of mental illness
• Collective Dynamics
• +7 more

William Sulis is an Associate Clinical Professor in the Department of Psychiatry and an Associate Member of the Department of Psychology at McMaster University, where he also directs the Collective Intelligence Lab (CILab). With a unique interdisciplinary background spanning mathematics, physics, and psychiatry, Dr. Sulis bridges the gap between theoretical science and clinical practice. His educational journey is exceptionally diverse: B.Sc. (Hon) in Mathematics with minor in Theoretical Physics, Carleton University (1976) M.D., University of Western Ontario (1980) M.A. in Mathematics, University of Western Ontario (1984) Ph.D. in Mathematics, University of Western Ontario (1989) FRCPC in Psychiatry (1984) Ph.D. in Theoretical Physics, University of Waterloo (2014) CRCPC in Geriatric Psychiatry (2015) Dr. Sulis's research explores the intersection of complex systems theory with psychological and psychiatric phenomena. His work on Collective Intelligence investigates how group dynamics emerge from individual interactions, while his research on Temperament and Psychobiology examines the continuum between normal personality variations and mental illness. He has made significant contributions to understanding Synchronization in Complex Systems and developed the concept of Transient Induced Global Response Synchronization (TIGoRS) , which has implications for neural coding and information processing. His theoretical work extends to Quantum Foundations and Process Algebra Theory , where he proposes novel approaches to quantum mechanics. Analysis of his recent publications reveals a consistent thread connecting complex systems theory with psychological and psychiatric applications. His work increasingly focuses on bridging the gap between temperament theory and clinical psychiatry, using mathematical and computational approaches to understand mental illness. Simultaneously, he continues to develop theoretical frameworks in quantum physics through process algebra models, demonstrating remarkable interdisciplinary range. Dr. Sulis has received several prestigious awards including The Governor General's Medal for having the highest overall grade point average in his graduating class, the Henry Marshall Tory Scholarship, and multiple Harry Stevenson Southam Scholarships. Throughout his career, Dr. Sulis has mentored numerous students across disciplines, supervising research projects spanning collective intelligence, semantic space modeling, network dynamics, and temperament studies. His Collective Intelligence Lab has served as a hub for interdisciplinary research connecting computer science, psychology, and psychiatry. Dr. Sulis has also been actively involved in professional organizations, serving as President of The Society for Chaos Theory in Psychology and the Life Sciences (1996-1998) and holding editorial positions for several journals including "Dynamical Psychology" and "Nonlinear Dynamics in Psychology and the Life Sciences." As Director of the Collective Intelligence Lab at McMaster University, Dr. Sulis fosters research exploring how complex adaptive systems can model cognitive and social phenomena. The lab serves as an intellectual nexus where mathematics, computer science, psychology, and psychiatry converge to address fundamental questions about intelligence, both individual and collective.

• Clinical Psychology
• Psychotherapy Process and Outcome
• Therapeutic Alliance
• +7 more

Lauren M. Lipner, Ph.D., is an Assistant Professor in the Clinical Psychology Doctoral Program at Long Island University (LIU) Post, within the College of Liberal Arts and Sciences. She holds a B.A. from Pennsylvania State University and earned her M.A. and Ph.D. in Clinical Psychology from Adelphi University in 2020. Her academic and clinical training includes an APA-accredited pre-doctoral internship at Pennsylvania Hospital/University of Pennsylvania Health System, a clinical postdoctoral fellowship at Mount Sinai Beth Israel, and a research and teaching postdoctoral fellowship at Adelphi University. Her research focuses on psychotherapy process and outcome, with an emphasis on the development and repair of the therapeutic alliance. Key areas include alliance rupture resolution, factors contributing to premature treatment termination, and methodological approaches to measuring therapeutic dynamics. She has contributed extensively to the literature through peer-reviewed journal articles, book chapters, and conference presentations. The most recent publications reflect a strong trend in advancing methodological rigor in studying alliance ruptures, utilizing control chart methods, single-case designs, and multi-method approaches. Her work bridges clinical practice with empirical research, particularly in cognitive-behavioral and integrative therapies for personality and anxiety disorders. Scientific awards and grants highlight her recognition in the field: Small Research Grant, Society for Psychotherapy Research (2021) Charles J. Gelso, Ph.D. Psychotherapy Research Grant, Society for the Advancement of Psychotherapy (APA Division 29, 2023) Dr. Lipner has served as Principal Investigator on funded projects including 'The relationship between therapist flexibility, alliance rupture resolution, and premature treatment termination' and 'Reasons for dropout measure: Development and validation.' She is actively involved in professional organizations such as the American Psychological Association (Divisions 12 and 29), the Society for Psychotherapy Research, and the Society for the Exploration of Psychotherapy Integration. She regularly presents her research at national and international conferences, contributing to training and supervision literature, particularly in CBT and alliance-focused models. While no specific lab or research team is explicitly named in the text, her collaborative work with prominent researchers like Jeremy D. Safran, J. Christopher Muran, and Jacqueline P. Barber suggests active participation in a research network focused on psychotherapy process and integration. Her contributions to handbooks and case studies further indicate a strong commitment to clinical education and training.

Matt NassarView profile

Associate Professor

• Computational Neuroscience
• Cognitive Psychology
• Decision Making
• +5 more

Matt Nassar is an Associate Professor of Neuroscience and Assistant Professor of Cognitive and Psychological Sciences at Brown University. He leads the Learning, Memory and Decision Lab, which is part of the Department of Neuroscience and the Robert J. & Nancy D. Carney Institute for Brain Science. His research focuses on understanding how the brain flexibly processes information to achieve complex and adaptive behaviors through computational approaches that bridge cognitive psychology and neuroscience. Education: PhD, University of Pennsylvania (2012) BA, Colgate University (2004) Nassar's research examines how different cognitive systems—learning, memory, and perception—leverage common computational principles to optimize decision-making. His work particularly focuses on how the brain balances stability and flexibility in processing information, how uncertainty is represented and utilized in learning, and how neural computations underlie complex behaviors. Through computational modeling and empirical research, he investigates how modular information-processing systems impact decisions and complex behavior in dynamic environments. His research integrates methods from cognitive psychology, neuroscience, and computational modeling to address fundamental questions about human cognition. Analysis of Nassar's recent publications (2020-2024) reveals a strong focus on computational neuroscience applied to decision-making, learning, and psychiatric conditions. His work frequently employs Bayesian modeling approaches to understand belief updating, uncertainty processing, and structure learning. Key themes include the neural basis of flexibility in learning, computational mechanisms underlying psychiatric symptoms, and age-related changes in cognitive processing. His research bridges cognitive psychology, neuroscience, and computational modeling to provide insights into both healthy cognition and disorders such as depression and schizophrenia. Scientific Contributions: Developed computational models of belief updating and learning under uncertainty Investigated neural mechanisms of stability-flexibility tradeoffs in cognition Examined age-related differences in learning and memory processes Explored computational mechanisms underlying psychiatric conditions Studied the role of noise correlations in neural learning systems Investigated how prefrontal cortex representations shape decision processes Nassar actively mentors researchers in his lab, with recent announcements highlighting postdocs joining from prestigious institutions like Max Planck UCL and Freie Universität Berlin. His lab appears to receive significant research funding, supporting multiple postdoctoral positions and research projects. Collaborations span multiple departments at Brown University, particularly with researchers in Cognitive and Psychological Sciences, Neurology, and Psychiatry. The lab has produced numerous high-impact publications in top journals including Nature Human Behaviour, Brain, and eLife. The Learning, Memory and Decision Lab, led by Nassar, is an active research group that uses computational models to understand how the brain represents and stores information for effective decision making. Recent lab announcements (as of February 2025) indicate the lab is expanding with new postdoctoral researchers joining from Harvard, Max Planck UCL, and Freie Universität Berlin, suggesting strong research momentum and funding support. The lab appears to be well-integrated within Brown's neuroscience community, with collaborations spanning multiple departments and research centers.

Bryce HensonView profile

Assistant Professor

• African Diaspora Studies
• Cultural Studies
• Global Black Intellectual Traditions
• +4 more

Dr. Bryce Henson is an Assistant Professor in the Department of Communication & Journalism at Texas A&M University, with an affiliation in the Africana Studies Program. He holds a PhD in Communications & Media from the University of Illinois, Urbana-Champaign, focusing on cultural studies and interpretative theory. His research bridges African Diaspora studies, global Black intellectual traditions, and media analysis, with a particular focus on Brazil and the Caribbean. Education: PhD in Communications & Media (Cultural Studies), University of Illinois, Urbana-Champaign Graduate Minor in Latin American & Caribbean Studies Research: Henson examines Black cultural production in Brazil, including hip-hop, urban studies, and marronage/aquilombamento. His book Emergent Quilombos: Black Life and Hip-Hop in Brazil (2023) earned multiple awards, including the NCA Book of the Year Award. Current projects explore Brazilian Carnival’s entanglement with racialized violence and Lélia Gonzalez’s amefricanidade theory to analyze Pan-African connections beyond North America and Africa. Awards: 2024 NCA Critical/Cultural Studies Division Book Award 2024 NCA Ethnography Division Best Book Award 2024 Roberto Reis First Book Prize Honorable Mention Teaching & Grants: Henson teaches courses on Black media, global media, and critical ethnography. He received a 2023 Fulbright Distinguished Chair to research Brazilian Carnival at Universidade Federal da Bahia (2024). He advises students on qualitative methods and social justice research. Professional Roles: Advisory board member for the Association for the Study of the Worldwide African Diaspora (ASWAD), Associate Editor of Transforming Anthropology , and active member of NCA, ASA, and BRASA.

Patrick MitranView profile

Professor

• 5G/6G Communication Systems
• Millimeter-wave and Sub-THz Technologies
• Digital Predistortion
• +3 more

Patrick Mitran is a full-time Professor at the University of Waterloo's Department of Electrical and Computer Engineering, within the Faculty of Engineering. His research focuses on advanced wireless communication systems, including 5G/6G technologies, millimeter-wave and sub-THz communication, digital predistortion techniques, MIMO systems, and beamforming architectures. He leads projects addressing challenges in transmitter linearization, network resource allocation, and hardware-efficient signal processing. Key research interests include optimizing frequency multiplier-based transmitters, mitigating inter-cell interference in massive MIMO networks, and developing algorithms for reconfigurable intelligent surfaces (RIS). His work often intersects hardware design, signal processing, and network optimization, with applications in next-generation wireless infrastructure. Recent publications highlight innovations in ultrawideband signal generation for 6G testing, practical RIS configurations, and FPGA-based real-time digital predistortion implementations. His contributions emphasize both theoretical advancements and practical system-level solutions. Dr. Mitran's research group collaborates on cutting-edge topics such as hybrid NOMA in multi-cell networks, adaptive coding modulation for Gaussian channels, and interference decoding strategies. His work has been published in top-tier journals and conferences, reflecting a sustained impact on modern wireless communication technologies.

• Wireless Communications
• Optical Communications
• Radar Signal Processing
• +6 more

Saleh A. Alshebeili is a Professor in the Department of Electrical Engineering at King Saud University's College of Engineering, Riyadh, Saudi Arabia. With over 139 publications spanning from 1991 to 2024, his research demonstrates significant contributions across multiple engineering disciplines. His academic profile shows consistent collaboration with Saudi research institutions and international partners, particularly in communications and signal processing fields. Dr. Alshebeili's research interests span wireless communications, optical networks, radar systems, and biomedical signal processing. His work bridges theoretical signal processing with practical applications in 5G/6G communications, IoT security systems, and healthcare monitoring. The interdisciplinary nature of his research connects electrical engineering with computer science, particularly through machine learning applications for signal analysis and system optimization. His publications demonstrate expertise in both traditional signal processing techniques and emerging AI-driven approaches to engineering problems. Analysis of his recent publications (2021-2024) reveals a strong focus on next-generation communication technologies including 6G systems, optical wavelength conversion, and OAM-SDM communication. Simultaneously, he maintains active research in biomedical applications, particularly EEG signal processing for seizure detection and biometric authentication using physiological signals. His work consistently appears in top IEEE journals including IEEE Access, IEEE Transactions on Wireless Communications, and IEEE Journal of Biomedical and Health Informatics, reflecting the high quality and relevance of his research. Dr. Alshebeili has established extensive collaborations with researchers across King Saud University, particularly with Fathi E. Abd El-Samie (29 co-authored papers), Turky N. Alotaiby (22 papers), and Amr Ragheb (21 papers). These long-term collaborations suggest leadership in research groups focusing on communications systems and biomedical signal processing. His work spans theoretical development, simulation, and experimental validation, as evidenced by publications with 'Experimental Investigation' and 'Experimental Demonstration' in their titles.

Serge FehrView profile

Professor

• Cryptology
• Post-Quantum Cryptography
• Information-Theoretic Cryptography
• +5 more

Serge Fehr is a Senior Researcher in the Cryptology Group at CWI (Centrum Wiskunde & Informatica) in Amsterdam and a part-time Professor at the Mathematical Institute of Leiden University. His research focuses on foundational aspects of cryptology, including post-quantum cryptography, information-theoretic security, zero-knowledge proofs, and secure multiparty computation. He participates in AMSec (Amsterdam Cyber Security Center) and leads work packages in the NWO-funded HAPKIDO consortium. Education: M.Sc. in Mathematics from ETH Zürich (1998) Ph.D. in Cryptography from ETH Zürich and University of Aarhus (2003) Postdoc at Macquarie University (2003-2004) Research Interests: Post-quantum cryptographic primitives (e.g., digital signatures, lattice-based schemes) Quantum-resistant protocols (e.g., non-resignable signatures, Fiat-Shamir transforms) Foundational security proofs in the quantum random oracle model (QROM) Secure multiparty computation and privacy-preserving healthcare systems Key Activities: Editorial Board Member: Journal of Cryptology , IEEE Transactions on Information Theory Program Committee Co-Chair: EUROCRYPT 2025 Steering Committee Member: Beyond IID Information Theory, QCrypt Co-organizer: Symposium Series on Post-Quantum Cryptography Grants/Awards: NWO Cybersecurity consortium grant (HAPKIDO - 2021) NWO Veni Grant (2005) NWO Open & Free Competition Grants (2008, 2013) Students/Advising: Supervised or served on committees for over 15 Ph.D. students, including work on post-quantum signatures, MPC applications, and lattice-based cryptography. Labs/Teams: Active in CWI’s Cryptology Group and Leiden’s Mathematical Institute, collaborating with industry partners (e.g., KPN, Microsoft) in cybersecurity initiatives.

ChanMin KimView profile

Professor

• Educational Technology
• Computer Science Education
• Science Writing
• +3 more

ChanMin Kim is a Professor in the Learning and Performance Systems department at Penn State College of Education. With over 80 publications and 2553 citations, their work focuses on integrating artificial intelligence , robotics , and educational technology into science and computer science education. Research interests: Science writing, AI-human partnerships, robotics in education, equity-focused technology design Key methodologies: Natural Language Processing, learning analytics, scaffolding strategies Recent work explores large language models in education, debugging processes in pre-service teacher training, and automated assessment systems for science explanations. While the provided data doesn't show specific scientific awards or student advisees, their publications in venues like British Journal of Educational Technology and Journal of Science Education and Technology demonstrate significant contributions to learning sciences. Kim collaborates extensively with researchers in AI, educational technology, and equity-focused domains.

Robert M. Weikle, IIView profile

Professor

• Millimeter-wave electronics
• Terahertz technology
• Applied electromagnetics
• +9 more

Robert M. Weikle, II is a Professor in the Charles L. Brown Department of Electrical and Computer Engineering at the University of Virginia, with a courtesy appointment in the Department of Physics. He earned his B.S. from Rice University (1986), M.S. (1987), and Ph.D. (1992) in Electrical Engineering from Caltech, followed by postdoctoral work at Chalmers University of Technology (1992). His research focuses on millimeter-wave and terahertz electronics , applied electromagnetics, integrated antennas, low-noise sensors, and heterogeneous integration of compound semiconductors. His work bridges electronics and photonics for spectrum access, with applications in astronomy, spectroscopy, and metrology. He has published extensively on micromachined silicon substrates, superconducting materials, and emerging technologies. Scientific Awards: IEEE Microwave Prize (1993) David A. Harrison III Award (1999) University of Virginia All-University Outstanding Teaching Award (2000) Edlich-Henderson Innovator of the Year (2016) Fulbright Scholar (2001) As Chief Technology Officer and co-founder of Dominion Microprobes, Inc., he commercializes micromachined wafer probes for high-frequency metrology. His lab, located in E220 Thornton Hall and the Jesse W. Beams Physics Building, has produced 15+ recent publications on submillimeter-wave devices, THz probes, and calibration techniques.