جستجوی استاد راهنمای دانشگاهی

George O'Mahonyمشاهده پروفایل

مدرس

• Cybersecurity
• Cyber Resilience
• Network Security
• +۸ مورد دیگر

Dr. George O'Mahony serves as Head of Department of Computer Science at Munster Technological University (MTU) and is a CONNECT Associate Investigator with Research Ireland. He leads Ireland's Cyber Range infrastructure development and acts as WorldSkills Ireland Expert for Cybersecurity Skill 54, driving national cybersecurity initiatives through academia-industry collaboration. Education: B.E. in Electrical and Electronic Engineering, University College Cork (UCC) Ph.D. in Electrical and Electronic Engineering, University College Cork (UCC), 2021 His research pioneers cyber resilience frameworks for OT/IoT systems, zero-trust architectures, and machine learning applications in anomaly detection. He develops low-complexity security solutions for resource-constrained edge devices, with emphasis on wireless sensor networks, GPS applications, and penetration testing methodologies. His work bridges theoretical innovation with practical infrastructure implementation. Recent publications reveal accelerating focus on quantum-resistant cryptography, MQTT-ZT secure brokers, and unified cyber resilience models. His scholarly output consistently addresses interference detection in wireless networks while expanding into satellite communications security and AI-driven network customization, reflecting strategic adaptation to emerging cyber threats. Research Leadership: CONNECT: Associate Investigator advancing cyber security research NCF Cyber Shock: Co-Principal Investigator Cyber Explore: Principal Investigator at MTU Cyber Range: National infrastructure lead (mobile/cloud) Horizon Telemetry: Core research team member As STEM advocate and Cyber Futures Academy contributor, O'Mahony shapes cybersecurity education through WorldSkills Ireland engagement and industry-focused cyber range deployments that serve academic, governmental, and commercial sectors.

• Islamic Law
• Shi'ite Jurisprudence
• Legal Hermeneutics
• +۳ مورد دیگر

Rob Gleave is Professor of Arabic Studies at the University of Exeter's Institute of Arab and Islamic Studies, currently serving as British Academy/Wolfson Professor (2023-2026) for his project "The Foundations of Modern Shi’ism: The End of Akhbrism and the Beginnings of Ulism". Previously, he directed the Centre for the Study of Islam and International Institute for Cultural Enquiry until September 2022, and held leadership roles including Associate Dean of the College for Social Science and International Studies (2015-16) and Principal Investigator for the ESRC Impact Acceleration Account (2014-2018). His research centers on Islamic legal theory and practice with specialized focus on Shi’ite legal thought, legal hermeneutics, and historical evolution of Islamic jurisprudence. Major projects include the ERC-funded "Law, Authority and Learning in Imami Shi’ite Islam" (2016-2022), "Islamic Law on the Edge" (2021-2022), "Islamic Reformulations" (2013-2016), and "Legitimate and Illegitimate Violence in Islamic Thought" (2010-2013), which collectively examine legal interpretation, violence justification, and governance in Islamic intellectual history while integrating Shi’ite law into broader Islamic legal studies. Professor Gleave's scholarly recognition includes: British Academy/Wolfson Professorship (2023-2026) Prestigious fellowships at Princeton's Institute for Advanced Study, Oxford, and Chicago Editorial leadership as sub-editor of Islamic Law and Society and Journal of Abbasid Studies Presidential roles in the British Institute of Persian Studies and International Society for Islamic Legal Studies He has supervised PhD research on Salafism, Usul al-Fiqh, hijab jurisprudence, Shi’ite legal theory, and Islamic finance applications, while securing major grants including ERC Advanced Awards and ESRC funding. His research teams operate through institutional frameworks like the Centre for the Study of Islam, fostering international collaborations across Europe, North America, and Asia. Current work continues through the British Academy/Wolfson project investigating Shi’ite legal history's transition from Akhbarism to Usulism, building on his established research infrastructure within Exeter's Institute of Arab and Islamic Studies.

• Computer Architecture
• Reconfigurable Computing
• Network-on-Chip (NoC)
• +۷ مورد دیگر

Ioannis Sourdis is a Full Professor at the Department of Computer Engineering, Chalmers University of Technology, Sweden. His research focuses on computer architecture, reconfigurable computing, network-on-chip (NoC) design, memory systems, and fault-tolerant embedded systems, with applications in biomedical informatics and hardware security. Current projects include EUMMSS (Efficient Uncore Mechanisms for Multicore Space Systems, funded by the Swedish National Space Board) and eProcessor (European Processor Ecosystem, funded by the European Commission). Past initiatives include the DeSyRe project (on-demand system reliability), ECOSCALE (exascale reconfigurable computing), and SHARCS (secure hardware-software architectures). His work spans NoC router design (e.g., FastTrackNoC, DDRNoC), memory compression (MemSZ, L2C), and biomedical security applications (heartbeat-based protocols). He has published extensively in venues like DATE, ICS, PACT, and IEEE Transactions on Networking. Key research areas: Chiplet-based systems , hybrid memory architectures , FPGA acceleration , and real-time stream aggregation .

• Sociology
• Media Studies
• Social Transformation
• +۷ مورد دیگر

Veronika Kalmus is a Professor of Sociology at the University of Tartu's Faculty of Social Sciences, Institute of Social Studies since 2015. She has held various academic positions at the University of Tartu since 1991, including Professor of Media Studies (2009-2013) and Associate Professor in Media Studies (2005-2009). She is an internationally recognized scholar with memberships in Academia Europaea and AcademiaNet, and has received numerous awards including the National Research Award in Social Sciences (2022). Her educational background includes a Doctor's Degree in Sociology from the University of Tartu (2003), a Research Master's Degree in Media Studies from the University of Oslo (1998), and additional graduate studies in Sociology at the University of Tartu. She completed her undergraduate studies in Sociology at the University of Tartu (cum laude, 1995). Kalmus's research focuses on social transformation, mediatization, datafication, and platformization in contemporary society, with particular attention to social acceleration, generational dynamics, and children's and young people's digital media use. Her work examines how digital technologies reshape socialization processes, value orientations, and intergenerational relationships. She investigates the formation of media generations, digital skills development, and the social mediation of children's media use in an increasingly datafied world. Her recent publications analyze surveillance experiences across generations, digital skills among European youth, and the impact of digital tools on mental well-being. Her work demonstrates a consistent focus on the intersection of digital technologies, social change, and generational dynamics, with methodological innovations in cross-cultural and intergenerational research. National Research Award in Social Sciences (2022) Membership of Academia Europaea (2019) Membership of AcademiaNet: Leading European Women Scientists (2020) The Badge of Distinction, University of Tartu (2017) Vitols Prize of the American Association of Baltic Studies (2010) Young Scientist Award of the Cultural Foundation of the President of the Republic of Estonia (2008) Professor Kalmus has supervised multiple doctoral students including Signe Opermann, Marit Napp, and Andra Siibak, with several receiving national recognition. She has led significant research projects including the Estonian Science Foundation grant project 'Children and Young People in the Emerging Information and Consumer Society' (2007-2010) and 'Generations and Inter-generational Relationships in the Emerging Information Society' (2011-2015). Her administrative roles include membership in the University of Tartu Senate (2017-present), Director of the PhD study programme in Sociology (2015-present), and founder of the European Media Salon (2021-2024). She leads the international research network EU Kids Online as Estonian project team leader (2007-present) and is actively involved in developing research methodologies for studying digital family life through the PlatFams project. Her work bridges academic research with practical applications for understanding digital transformations in everyday life across generations.

• Human–robot interaction
• Spoken language processing
• Image and audio processing
• +۳ مورد دیگر

Tetsunori Kobayashi is a Professor in the School of Fundamental Science and Engineering at Waseda University, Japan, where he has served since 1997. He is renowned for pioneering research in human–robot interaction, spoken language processing, and multimodal conversational systems, leading to over 230 refereed papers and an h-index of 35 (Google Scholar). Education: 1980 B.Eng. in Electrical Engineering, Waseda University 1982 M.Eng. and 1985 Dr.Eng. from Graduate School of Science and Engineering, Waseda University Research Interests: His work spans intelligent robotics , perceptual information processing , pattern recognition , image and audio processing , and conversational AI . He develops algorithms for real-time dialogue systems, multi-party conversation facilitation robots, and non-autoregressive speech recognition leveraging CTC and pre-trained language models. Recent Publication Trends: Since 2020 his group has advanced non-autoregressive end-to-end ASR (Mask-CTC, Intermpl, BECTRA), noise-robust attention , multi-look-ahead conversational ASR , and neural speaker diarization . They integrate BERT-style pre-training with CTC losses to accelerate inference while maintaining accuracy. Parallel work explores vision-and-language topics such as scene-graph generation, video semantic indexing, and personalized summarization for spoken news delivery. Scientific Awards: IEICE Fellow 2023 – for multi-modal multi-party conversation research IPSJ Fellow 2016 – for pioneering robot conversation studies JST Award for Academic Start-ups 2024 Best Paper Awards from IEICE, IEEE BTAS, ACM SIGGRAPH VRCAI, and several IPSJ workshop prizes Advising & Grants: He has mentored dozens of PhD and Master’s students who now lead in academia and industry. Major funded projects include JST CREST on conversational robotics, NEDO and JST-support for AI-based speech interfaces, and industry collaborations with NHK, OKI, and NEC. Labs & Teams: Kobayashi heads the Perceptual Computing Laboratory at Waseda, conducting interdisciplinary research with domestic and international partners such as MIT, ATR, and NHK Science & Technology Labs.

• Information Hiding
• Steganography
• Steganalysis
• +۴ مورد دیگر

Andrew D. Ker is Professor and Associate Professor of Computer Science at the University of Oxford's Department of Computer Science, and Tutorial Fellow in Computer Science at University College, Oxford since 2009. He received his BA in Mathematics & Computer Science (1994-1997) and DPhil in Computer Science (1997-2000) from Oxford, followed by academic appointments including Junior Research Fellow (2000-2003), Special Supernumerary Fellow (2003-2009), and Royal Society University Research Fellow (2003-2011). His research focuses on information hiding, particularly steganography (covert communication in digital media) and steganalysis (detection of hidden data), with additional interests in digital media forensics and programming language semantics. His foundational work includes the mathematical formalization of the 'square root law of steganographic capacity'. Recent publications explore practical implementations in social media platforms, GPU-accelerated steganalysis, and linguistic steganography techniques. He has received multiple scientific awards including Best Paper Awards at ACM Workshops on Information Hiding & Multimedia Security, SPIE conferences, and the International Workshop on Digital Watermarking. As Associate Editor for IEEE Transactions on Information Forensics and Security, he maintains active involvement in the academic community. Professor Ker has supervised numerous graduate students in computer security and steganography research, including doctoral candidates and master's students. He leads research within Cyber Security Oxford and has developed four major lecture series: Lambda Calculus and Types, Discrete Mathematics, Computer Security, and Advanced Security: Information Hiding. He remains active in teaching despite administrative responsibilities as Tutorial Fellow.

• Entrepreneurship
• Small Business Financing
• Corporate Governance
• +۲ مورد دیگر

José Paulo Afonso Esperança is a Full Professor of Finance at ISCTE Business School, ISCTE - University Institute of Lisbon. He previously served as Pro-Rector for International Relations and Entrepreneurship (2010-2013), Dean of ISCTE Business School, and Vice-President of FCT (Foundation for Science and Technology). He co-founded Building Global Innovators (BGI), a MIT Portugal technology transfer accelerator, and chaired AUDAX-ISCTE, an entrepreneurship center focused on family business. His educational background includes: Agregação (2003) from ISCTE-Instituto Universitário de Lisboa PhD in Economics (1993) from the European University Institute, Florence Licenciatura in Organization and Business Management (1980) from ISCTE-IUL Professor Esperança's research centers on entrepreneurship and small business financing , corporate governance , and language commonality in international business . His work bridges theoretical frameworks with empirical analyses of emerging economies, examining financial inclusion mechanisms, SME credit constraints, and linguistic influences on foreign direct investment. He has published extensively in top-tier journals including Annals of Operations Research and Journal of Business Finance and Accounting. His publication trends reveal increasing focus on financial technology applications, behavioral aspects of lending, and Lusophone economic integration. Recent work analyzes prosocial crowdlending dynamics and socio-technical credit evaluation frameworks, reflecting interdisciplinary approaches to financial inclusion challenges. Key recognitions include: Best IBS Case for the FAE-MOVVO Competition: Location-Based Big Data Marketing (2015) Best IBS Case for the FAE-Science 4You Competition (2014) He secured significant research funding as Principal Investigator for the project 'Corporate Governance in Medium Income Countries: The Case of Portugal' (2007-2011). His leadership extends to entrepreneurship initiatives through AUDAX-ISCTE and BGI, where he developed technology transfer frameworks. Since 2014, he has served as National Delegate for the H2020 SME Instrument at FCT, advising on European innovation funding. Professor Esperança maintains active involvement in Lusophone economic networks through the New Atlas of the Portuguese Language project and CPADA (Portuguese Federation of Environmental Associations), where he serves on the board.

Amin Mesmoudiمشاهده پروفایل

دانشیار

• Data Engineering
• Machine Learning
• Anomaly Detection
• +۵ مورد دیگر

Amin Mesmoudi serves as Associate Professor in Data Engineering at the University of Poitiers' IUT (Institut Universitaire de Technologie), with dual laboratory affiliations at LIAS-ENSIP (Poitiers campus) and LIAS-ISAE-ENSMA (Chasseneuil campus). His research bridges theoretical database systems with practical large-scale data engineering challenges, particularly in semantic web technologies and machine learning applications. The laboratory maintains physical presences at both ENSIP's Bâtiment B25 in Poitiers and ISAE-ENSMA's Téléport 2 facility in Chasseneuil, facilitating cross-institutional collaboration. Mesmoudi's research program centers on scalable data management systems, with three interconnected pillars: (1) RDF and graph-based query optimization techniques for billion-triple datasets, (2) machine learning integration for spatial query performance and anomaly detection, and (3) explainability frameworks for complex black-box models. His work demonstrates consistent evolution from foundational database systems (2011-2016) toward contemporary AI-driven data engineering, particularly evident in his 2023-2025 publications on temporal dependency preservation and co-selection explainability. The Data Engineering team within LIAS laboratory provides the primary research context for these investigations. Publication analysis reveals strong methodological continuity in addressing scalability bottlenecks across database paradigms. Early work focused on SQL-on-MapReduce benchmarking for astronomy databases (2015-2016), transitioning to specialized RDF processing frameworks (2019-2021), and culminating in current hybrid approaches combining temporal modeling with machine learning (2023-2025). Key technical themes include fragmentation strategies for distributed data, optimizer feedback mechanisms, and graph-based query acceleration - all targeting real-world performance constraints in big data environments. As a core member of LIAS laboratory's Data Engineering team, Mesmoudi contributes to France's national research infrastructure in computer science and automation systems. The laboratory's dual-university structure enables unique cross-pollination between University of Poitiers' academic programs and ISAE-ENSMA's engineering specialization, with Mesmoudi's work exemplifying this synergy through applications spanning astronomy databases to wireless sensor networks.

• Numerical Analysis
• Scientific Computing
• Data Science
• +۴ مورد دیگر

Per-Gunnar J. Martinsson serves as Deputy Director of the Oden Institute and Professor of Mathematics at the University of Texas at Austin, holding the W. A. "Tex" Moncrief, Jr. Endowment in Simulation-Based Engineering and Sciences. He maintains an affiliated professorship at the Royal Institute of Technology (KTH) in Stockholm, where he chairs the MathDataLab scientific advisory board. Previous appointments include faculty positions at the University of Oxford, University of Colorado Boulder (2005-2017), and Yale University. His educational background includes: Ph.D. in Computational and Applied Mathematics, University of Texas at Austin, 2002 Dr. Martinsson's research spans numerical analysis, scientific computing, and data science, with emphasis on randomized linear algebra methods, accelerated direct solvers for elliptic PDEs, structured matrix computations, and numerical techniques for scattering problems, computational fluid dynamics, and acoustics. His work extends to applied harmonic analysis, fast multipole methods, boundary integral equations, and modeling of heterogeneous materials and bandgap phenomena. His notable recognition includes: Germund Dahlquist Prize by SIAM (2017) He actively contributes to the Center for Numerical Analysis and Center for Scientific Machine Learning at the Oden Institute, while providing strategic leadership to KTH's MathDataLab through its scientific advisory board.

Kenneth Kentمشاهده پروفایل

استاد

• Hardware/Software Co-Design
• Virtual Machines
• Reconfigurable Computing
• +۵ مورد دیگر

Dr. Kenneth Kent is a Professor in the Department of Computer Science at the University of New Brunswick (UNB), where he has served for 14 years. He is the Director of the Information Technology Centre (ITC) and heads the Reconfigurable Computing Group. He also serves as Director of the IBM Centre for Advanced Studies - Atlantic and holds an Honorary Professorship at Hochschule Bonn-Rhein-Sieg. His research focuses on hardware/software co-design, reconfigurable computing, virtual machines, and embedded systems. Dr. Kent earned his PhD and Master of Science in Computer Science from the University of Victoria. His work has led to over 100 refereed publications and the supervision of 70+ graduate students. He co-founded WEnTech Solutions Inc., a software firm addressing waste-to-energy optimization. His awards include the IBM Faculty Fellow of the Year and Project of the Year (as Principal Investigator) for contributions to the J9 Java Virtual Machine. His articles span FPGA acceleration, compiler optimization, cloud storage security, and IoT intrusion detection. Recent work emphasizes energy-efficient Node.js systems and advancements in CAD tools like VTR 9 for FPGA architecture. Dr. Kent’s advising and grants include leading the IBM CAS Atlantic and directing industry-academia collaborations. He has pioneered technologies such as the Eclipse OpenJ9 JVM and the CephArmor storage interface, balancing academic research with commercial innovation. He leads the Reconfigurable Computing Group at UNB and collaborates with the Institute for Visual Computing in Germany. His research bridges theoretical computing and practical applications, with a focus on scalable systems and embedded technologies.

Shawki M. Areibiمشاهده پروفایل

استاد

• VLSI Physical Design Automation
• Reconfigurable Computing Systems
• Hardware/Software Co-Design for Embedded Systems
• +۷ مورد دیگر

Shawki M. Areibi is a Professor and Area Head of Engineering Systems and Computing in the School of Engineering at the University of Guelph. His research focuses on VLSI Physical Design Automation, Reconfigurable Computing Systems, and Hardware/Software Co-design for Embedded Systems. He leads efforts in developing advanced algorithms for CAD tools, FPGA design, and machine learning applications. His work addresses challenges in VLSI layout optimization, parallel processing, and embedded systems design. Affiliations: AI Affiliated Faculty, Area Heads, Computer Engineering, Engineering Systems and Computing Research. Research Interests: VLSI Circuit Layout, Reconfigurable Computing, Machine Learning, and FPGA-based Accelerators. His research integrates meta-heuristics like Genetic Algorithms and Tabu Search to solve complex optimization problems. He has contributed to hardware acceleration frameworks for machine learning algorithms and embedded systems, with applications in domains like signal processing and data mining. His recent work includes congestion-estimation models for modern FPGAs and analytic placement tools for ultra-scale architectures. Publications span VLSI design, reconfigurable computing, and machine learning, emphasizing algorithmic innovation and hardware-software co-design. His students have explored topics ranging from FPGA placement to domain adaptation in remote sensing. Grants and Advising: Advises graduate and undergraduate students on projects involving FPGA acceleration, machine learning, and embedded systems. His labs focus on developing next-generation CAD tools and hardware accelerators.

• Testability
• Built-in Self Test (BIST)
• Digital Circuit Testing
• +۳ مورد دیگر

Professor Jacob Savir is a distinguished academic in the Department of Electrical and Computer Engineering at the New Jersey Institute of Technology . He specializes in testability, built-in self-test (BIST), and fault detection for digital and analog circuits. His work focuses on improving integrated circuit testing methodologies, including BIST pretesting, defect level analysis, and reliability optimization in safety-critical systems. His research interests span BIST architectures, delay fault analysis, analog circuit testing, and power-constrained test synthesis . He has contributed extensively to the development of testing algorithms for embedded memories, scan designs, and fault diagnosis in complex systems. Notable contributions include studies on the impact of BIST pretesting on IC defect levels and yield optimization. His work bridges theoretical advancements with practical applications in aerospace and industrial electronics. Despite no awards listed, his substantial citation count (1,897) and h-index (22) reflect his influential contributions to the field. Prof. Savir has collaborated on 114 research outputs since 1977, with a focus on enhancing circuit testability and reliability across domains like FPGA-based systems and embedded memory diagnostics. His research emphasizes both academic rigor and industrial relevance, addressing challenges in modern VLSI design and testing.

Daniel Rosenbloomمشاهده پروفایل

استاد

• Climate Policy
• Sustainability Transitions
• Energy Systems
• +۳ مورد دیگر

Professor Daniel Rosenbloom is a leading academic in climate policy and sustainability transitions at Carleton University's School of Public Policy and Administration (SPPA). His research focuses on accelerating low-carbon transitions, net-zero strategies, and the governance of decarbonization pathways. He has organized high-profile events like the 2025 'Net Zero Meets Trade Disruption' workshop and engages actively in policy debates, notably critiquing carbon pricing mechanisms and advocating for integrated sustainability policies. His work bridges academic research and policy practice, addressing topics such as phase-out strategies for fossil fuels, smart grid innovations, and the political dynamics of climate action. He has secured research funding, including a $26,218 grant from the Climate Social Science Network, and collaborates with institutions like CBC News on public discourse about climate policy. Rosenbloom’s scholarship emphasizes bridging science and policy, with contributions to frameworks for accelerating pathways to net-zero emissions. Key themes include the role of policy mixes, interpretive flexibility in technology adoption, and the governance challenges of multi-system interactions in decarbonization. His research highlights the need for adaptive strategies that address both technological and socio-political dimensions of sustainability transitions.

Azadeh Davoodiمشاهده پروفایل

استاد

• Electronic Design Automation (EDA)
• Integrated Circuit Design
• Machine Learning in Hardware
• +۵ مورد دیگر

Azadeh Davoodi is a Vilas Distinguished Achievement Professor and Associate Chair of Undergraduate Studies in the Department of Electrical and Computer Engineering at the University of Wisconsin-Madison. Her research focuses on Electronic Design Automation (EDA), integrated circuit debug, and machine learning applications in VLSI design. She holds editorial roles in journals like IEEE TCAD and ACM TRETS, and has chaired major conferences such as ISPD 2015 and served on technical program committees for DAC, ICCAD, and others. Education: PhD in Electrical Engineering, University of Maryland-College Park (2006) Research Interests: Machine learning for VLSI chip design VLSI design automation for machine learning IC-CAD for emerging nanotechnologies Hardware security Recent Research Trends: Her work bridges machine learning and hardware design, with publications on neural network optimization, distributed inference, and explainable AI for circuit design. She emphasizes energy-efficient CNNs, latency reduction in edge computing, and security in split manufacturing. Awards: 2025 DATE Best Paper Candidate 2024 Vilas Distinguished Achievement Professor 2015 ACM Best Paper Award 2011 NSF CAREER Award Service and Grants: Leads NSF-funded projects on explainable ML for CAD and holds grants for distributed neural network synthesis. Her service includes roles as IEEE HKN member and editorial board positions. Labs/Teams: Engages in interdisciplinary research teams at UW-Madison, focusing on EDA innovation and hardware-software co-design.

Del Siegleمشاهده پروفایل

استاد

• Gifted Education
• Enrichment Strategies
• Online Education
• +۳ مورد دیگر

Del Siegle is the Lynn and Ray Neag Endowed Chair for Talent Development at the University of Connecticut's Neag School of Education. He holds concurrent roles as Director of the National Center for Research on Gifted Education (NCRGE) and the Renzulli Center for Creativity, Gifted Education, and Talent Development. He earned his Ph.D. in Special Education (Gifted and Talented/Educational Psychology) from UConn in 1995, following earlier degrees from Montana State University. His research focuses on gifted education equity, underachievement, and technology integration. Notable publications address barriers to underserved student access in gifted programs and teacher bias in identification processes. He has authored influential textbooks, including Education of the Gifted and Talented . Dr. Siegle has led national organizations like NAGC and AERA’s Giftedness SIG. Awards include the 2021 NAGC Founder’s Memorial Award and 2014 Montana AGATE Friend of AGATE Award. His work spans policy advocacy, teacher training, and program development, aiming to enhance equity and excellence in gifted education. Education: Ph.D., Special Education (Gifted & Talented/Educational Psychology), University of Connecticut, 1995 M.Ed., Curriculum (Gifted & Talented Education), Montana State University, 1989 B.S., Elementary Education (Mathematics), Montana State University, 1983 His research articles span gifted identification strategies, underachievement interventions, and technology-enhanced pedagogy. He advises numerous doctoral students focusing on gifted education equity and policy. Dr. Siegle directs programs like the Three Summers Program (GCT@UConn) and collaborates on initiatives such as Project BUMP UP to address systemic inequities in gifted education.