جستجوی استاد راهنمای دانشگاهی

Kurt Keutzerمشاهده پروفایل

استاد

• Artificial Intelligence
• Deep Learning
• Computer Vision
• +۶ مورد دیگر

Kurt Keutzer is a Professor in the Department of Electrical Engineering and Computer Science at the University of California, Berkeley, and a key member of the Berkeley AI Research Lab (BAIR). He holds a Ph.D. in Computer Science from Indiana University (1984) and was previously Chief Technical Officer at Synopsys, Inc. His research focuses on systems issues in deep learning, particularly for computer vision, speech recognition, NLP, and finance. He has published over 250 refereed articles and six books, and is a highly cited author in hardware and design automation. Keutzer has received multiple IEEE Fellowships, DAC awards, and best paper accolades at conferences like Embedded Vision Workshop and ICPP. Educations: 1984, PhD, Computer Science, Indiana University Kurt Keutzer's research interests span Artificial Intelligence , Computer Architecture , and Scientific Computing , with a focus on computational efficiency in AI systems. His work explores hardware-aware neural architecture search, domain adaptation, and quantization techniques to optimize models from edge to cloud. Recent publications highlight advancements in vision transformers , LLM inference efficiency , and autonomous driving . He also contributes to multimodal AI and self-supervised learning frameworks. Scientific Awards: Institute of Electrical & Electronics Engineers (IEEE) Fellow (1996) DAC's Most Influential Paper Award (2023) Top Ten Cited Author and Paper at DAC Best Paper Awards at Embedded Vision Workshop and ICPP Kurt Keutzer has advised numerous Ph.D. and Master’s students, including Forrest Iandola (co-founder of DeepScale), Sheng Shen, and Michael Murphy. His research teams have pioneered hardware-efficient deep learning solutions like SqueezeNet and FireCaffe. Current projects include optimizing large language models (LLMs) for edge deployment and advancing 3D reconstruction for autonomous vehicles. He is also involved in diffusion models , sparse attention mechanisms , and multi-agent coordination for complex tasks.

Rune Strandbergمشاهده پروفایل

دانشیار

• Solar Cell Physics
• Photovoltaic Materials
• Energy Conversion
• +۳ مورد دیگر

Rune Strandberg is an Associate Professor at the Department of Engineering Sciences, University of Agder. He holds a PhD in solar cell physics from NTNU and specializes in photovoltaic materials, solar cell physics, and energy conversion. His research focuses on advanced solar cell concepts including tandem cells, intermediate band solar cells, and thermoradiative energy harvesters. Education: Master of Technology (2005) and PhD (2010) in solar cell physics from NTNU. Pedagogical training includes Uniped courses (2014-2015) and PhD supervision qualification. Current teaching: Renewable Energy, Solar Energy Systems, Electromagnetism, Advanced Photovoltaics Prior roles: PhD student at NTNU (2005-2009), Senior Researcher at Teknova AS (2010-2013) Research areas: New photovoltaic concepts, characterization of photovoltaic cells, solar cell physics, emissive energy harvesters His recent publications analyze band gap optimization, radiative coupling in multi-junction cells, temperature sensitivity, and theoretical efficiency limits across multiple high-impact journals. Collaborators include Anne Gerd Imenes, Alfredo Sanchez Garcia, and Sissel Tind Kristensen. Key contributions include development of analytical models for solar cell performance, field testing of PV modules in Norway, and studies on temperature effects in multicrystalline silicon wafers.

Evangelos Boulougourisمشاهده پروفایل

استاد

• Naval Architecture
• Marine Engineering
• Ocean Engineering
• +۱۹ مورد دیگر

Professor Evangelos Boulougouris is Head of the Department of Naval Architecture, Ocean and Marine Engineering at the University of Strathclyde, where he also serves as Chair of the Maritime Safety Research Centre. He is a chartered professional engineer with over 28 years of internationally recognized research in maritime safety, design for safety, and holistic ship design. His work spans damage stability, autonomous vessels, alternative fuels, and ship survivability, with strong impact on international regulations through roles in IMO, ITTC, SNAME, and RINA. Research Interests: His primary research focuses on safety of marine operations, including damage and intact stability in waves, collision avoidance, ship evacuation, crashworthiness, and the integration of alternative fuels like ammonia and hydrogen. He leads cutting-edge work in multi-objective ship design optimization, risk modeling, and decarbonization strategies for advanced marine vehicles. The recent 15 publications highlight a strong trend toward digitalization and sustainability in shipping, combining machine learning for propeller optimization, CFD simulations for catamaran performance, real-time decision support in emergencies, and hybrid propulsion systems for zero-emission vessels. His work increasingly emphasizes climate resilience, port risk under extreme weather, and energy management in CTVs, aligning with global SDGs. Scientific Awards: 2020 Denny Medal SNAME ABS Captain Joseph H. Linnard Prize (2023) Safety 2020 Best Paper Award (2022) Honorable Mention for Vice Admiral E. L. Cochrane Award (2022) EU CHAMPIONS of Transport Research (HOLISHIP, TRA 2014) Greek Technical Innovation Award, Lloyd’s List (2009) 1st Prize, International SAFER SHIP Competition (1999) Advising and Grants: He actively supervises PhD students and has led numerous EU and UK-funded projects such as SEASTARS, SAFARI, EcoShipYard, and Digital Shipwright. As Principal Investigator and Co-I, he secures substantial research funding, coordinates knowledge exchange (KE) initiatives, and leads training programs across Europe. Labs and Teams: He leads the Maritime Safety Research Centre at Strathclyde, fostering interdisciplinary collaboration on ship safety, stability, and sustainable design. His team works closely with industry partners RCG and DNV, and engages in international networks through STAB, ITTC, and IMO committees.

Eman El-Sheikhمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Cybersecurity
• +۶ مورد دیگر

Dr. Eman El-Sheikh is a Professor and Associate Vice President at the University of West Florida (UWF), affiliated with the Hal Marcus College of Science and Engineering, the Department of Computer Science, and the Center for Cybersecurity. She is a globally recognized leader in artificial intelligence, machine learning, and cybersecurity, with over 30 years of experience and more than $26 million in competitive research funding. Ph.D. in Computer Science and AI, Michigan State University (2002) M.Sc. in Computer Science, Michigan State University (1995) B.Sc. in Computer Science, American University in Cairo (1992) Her research centers on the integration of Artificial Intelligence and Machine Learning in cybersecurity, with a strong emphasis on education, workforce development, and ethical AI. She leads the development of AI-Cyber curricula for national adoption and is a pioneer in experiential learning models such as the Cybersecurity for All® and CyberSkills2Work® programs. The trends in her recent publications reflect a consistent focus on AI-driven cybersecurity solutions, secure AI systems, national workforce development, experiential education, and inclusive cyber training. Her work bridges technical innovation with policy, leadership, and pedagogy, demonstrating a holistic approach to strengthening the cybersecurity ecosystem. Dr. El-Sheikh has received numerous prestigious honors, including: 2024 GISEC Global Educator of the Year 2024 and 2025 Cybersecurity Woman of the Year (World Finalist) UWF Million Dollar Research Hall of Fame ($25M and $1M levels) 2020 Women Leaders in Cybersecurity, Security Magazine Achievement Award for Advancing Cybersecurity Education (SAM 2016) NSF/NSA AI-Cyber Task Force Member (2024–2025) Founder, Women in Cybersecurity (WiCyS) Florida Affiliate She has led major grant-funded initiatives such as the National Cybersecurity Workforce Development Program and CyberSkills2Work®, securing over $26 million to advance cybersecurity education and training. She mentors students and emerging professionals, particularly through diversity and inclusion efforts. Dr. El-Sheikh also serves as Chief Strategic Alliance Officer and USA Ambassador for the Global Council for Responsible AI, influencing national and global AI policy and education standards. She founded and leads the Artificial Intelligence Research Group at UWF and is actively involved in national task forces and advisory boards, including the Florida Cybersecurity Task Force and the WiCyS Florida Affiliate Advisory Board. Her leadership extends to shaping the future of AI and cybersecurity through collaborative research, innovation in higher education, and strategic partnerships.

• Genetic Algorithms
• Evolutionary Computation
• Complex Adaptive Systems
• +۲ مورد دیگر

Annie S. Wu is an Associate Professor in the Department of Computer Science at the University of Central Florida (UCF). She directs the Evolutionary Computation Laboratory and holds joint appointments with the Department of Electrical and Computer Engineering and the Institute for Simulation and Training at UCF. Wu earned her Ph.D. in Computer Science and Engineering from the University of Michigan in 1995. Ph.D. in Computer Science and Engineering – University of Michigan Her research spans genetic algorithms , evolutionary computation , complex adaptive systems , multi-agent systems , and machine learning . She has served on editorial boards for Evolutionary Computation and Memetic Computing , and held leadership roles with ACM SIGEVO and the International Society for Genetic and Evolutionary Computation. Notable accolades include: UCF Teaching Incentive Program Award (2019) Excellence in Graduate Teaching Award, UCF College of Engineering and Computer Science (2017) National Research Council Research Associateship Award (1996–1999) Wu’s work bridges theoretical and applied computational methods, with a focus on adaptive systems and collaborative research across engineering disciplines.

Serkan Arıkanمشاهده پروفایل

دانشیار

• Educational Measurement and Evaluation
• Computerized Adaptive Testing
• Large-Scale Educational Assessments
• +۵ مورد دیگر

Assoc. Prof. Dr. Serkan Arıkan is a faculty member at Boğaziçi University's Faculty of Education, Department of Mathematics Education. His research focuses on educational measurement, computerized adaptive testing, non-routine problem solving, and large-scale assessment frameworks like PISA and TIMSS. He has developed psychometric tools for STEM competency evaluation and conducted bias detection studies in international exams. Education : PhD in Secondary Science and Mathematics Education (METU, 2010), Postdoc (Tilburg University, 2015) Awards : Outstanding Achievement in Teaching Award (2021-2022) Research Trends : His recent work includes psychometric validation of self-compassion scales, extending the Community of Inquiry framework for technology integration, and adaptive test design using multiple matrix sampling. He investigates how socioeconomic factors, item bias, and emotional skills intersect with academic performance. Projects : Leads TÜBİTAK-funded AI-based test design and computerized adaptive mathematics test initiatives. Conductor of Boğaziçi University Adaptive Testing Laboratory.

Ken Concaمشاهده پروفایل

استاد

• Global Environmental Governance
• Environmental Peacebuilding
• United Nations Environmental Policy
• +۷ مورد دیگر

Dr. Ken Conca is a Professor of International Relations at American University’s School of International Service , specializing in global environmental governance , environmental peacebuilding , and water policy . His work bridges climate change adaptation , transboundary water management , and post-conflict recovery . Education : PhD (University of California, Berkeley), MS (University of Wisconsin-Madison), ScB (Brown University) Key Research Areas : Global environmental governance frameworks Water politics and conflict-cooperation dynamics Environmental peacebuilding in war-torn societies UN system’s role in climate and environmental security Scientific Recognition : Grawemeyer Prize, Sprout Award, Chadwick Alger Prize, Al-Moumin Environmental Peacebuilding Award Recent Publications : Focus on climate-water-conflict linkages , flexible governance models , and geoengineering ethics Teaching : Courses on global environmental politics, water governance, and doctoral dissertation advising

Natasha Smithمشاهده پروفایل

استاد

• Engineering Education
• Pedagogical Research
• Systems Engineering
• +۵ مورد دیگر

Natasha Smith is a Professor in the Department of Mechanical and Aerospace Engineering at the University of Virginia. She holds a Teaching Track position and serves as Director of Undergraduate Mechanical Engineering. Her research focuses on pedagogical strategies in engineering education, systems engineering design, reliability assessment using probabilistic methods, and material property analysis through statistical approaches. A registered professional engineer in Maine, she has 20 years of military service as a U.S. Navy Civil Engineer Corps officer (Seabees), including roles as a military instructor at the U.S. Naval Academy and Associate Professor at the University of Southern Indiana. Dr. Smith’s academic contributions include advancing hybrid course design, integrating industry partnerships into finite element education, and developing hands-on laboratory experiments. She has received the Hartfield Excellence in Teaching Award from The Jefferson Scholars Foundation for her impactful instruction. Her work highlights the intersection of military precision, engineering fundamentals, and innovative teaching methods. Current projects include a Jefferson Trust-funded Moon Base simulation lab for NASA competition training. Her military experience and engineering expertise inform her teaching philosophy, emphasizing practical problem-solving and technical communication. She actively collaborates with industry on experimental design and has published extensively on laboratory pedagogy, reliability analysis, and aerospace systems design since 2001.

Nathan Pettitمشاهده پروفایل

استاد

• Organizational Behavior
• Social Hierarchy
• Leadership
• +۵ مورد دیگر

Nathan Pettit is a Professor of Management and Organizations and Vice Dean for MBA and Graduate Programs at the Leonard N. Stern School of Business, New York University. He is also the George and Edythe Heyman Faculty Fellow and has been at Stern since 2011. He teaches leadership courses in the full-time MBA, NYC Executive MBA, and DC Executive MBA programs. His academic credentials include: Ph.D. in Management, Cornell University, 2011 M.A. in Social-Organizational Psychology, Columbia University, 2006 M.P.S. in Statistics, Cornell University, 2003 B.S. in Statistics, Cornell University, 2002 Nathan's research focuses on social hierarchy, underdogs and favorites, and cross-cultural issues in organizations. He investigates how status influences perception, motivation, and behavior in competitive and organizational settings. His work bridges management, psychology, and behavioral science, often exploring the cognitive and emotional dynamics of power and competition. The 15 most recent articles reflect a consistent focus on hierarchical dynamics, status perception, and competitive mindsets. They span disciplines including organizational behavior, psychology, and general science, with publications in top journals such as Academy of Management Journal , Organization Science , PNAS , and Psychological Science . The research reveals how high-status individuals perceive the world more positively, how underdogs and favorites adopt different motivational strategies, and how these dynamics shape organizational and societal outcomes. His scientific awards include: Named one of Poets & Quants '40 most outstanding MBA professors under 40' Stern’s Distinguished Teaching Award 'Professor of the Year' by MBA students (twice) 'Great Professor' by EMBA graduates (four times) Nathan actively contributes to academic leadership and student development. He serves on the editorial boards of Academy of Management Discoveries and Organizational Behavior and Human Decision Processes . He is the founding director of the NYU Stern Leadership Accelerator, pioneering experiential learning through live case models. He also mentors students as the faculty representative for the Stern Chats podcast. While specific advisees are not listed, his role as a PhD-trained professor and program leader implies significant advising and mentorship responsibilities. He has likely secured research grants supporting his work on status and competition, though specific grants are not detailed in the text. He is central to the Leadership Accelerator initiative, which integrates faculty, students, and coaches to develop leadership skills through real-world challenges. This team-based approach emphasizes experiential learning and behavioral development, positioning Stern at the forefront of innovative business education.

Wajiha Shireenمشاهده پروفایل

استاد

• Power Electronics
• Smart Grid
• Renewable Energy Systems
• +۵ مورد دیگر

Dr. Wajiha Shireen is a Professor in the Department of Engineering Technology at the University of Houston’s College of Technology. She has held this position since 1993 and maintains a joint appointment in the Department of Electrical and Computer Engineering. Her academic focus spans power electronics, smart grid technologies, and renewable energy systems. Education: B.S. (Bangladesh University of Engineering and Technology, 1987), M.S. (Texas A&M University, 1991), Ph.D. (Texas A&M University, 1993) Dr. Shireen’s research centers on power quality, wireless power transfer, battery energy storage systems, and the integration of renewable energy sources like solar and wind into modern grids. She has pioneered advancements in MPPT control for photovoltaics and frequency regulation in microgrids , with a particular emphasis on low-inertia grid stability . Her recent publications highlight trends in EV charging infrastructure optimization , predictive control for energy systems , and grid-following battery storage operations . These works intersect electrical engineering, renewable energy, and smart grid technologies. Scientific Awards : College of Technology Outstanding Faculty Award for Teaching (2014) College of Technology Outstanding Faculty Award for Research (1998, 2006) Featured in the Journal of Engineering Technology as a leading researcher (2001) Dr. Shireen has secured over $3 million in grants from the National Science Foundation, Department of Energy, and industry partners like Texas Instruments and Transmark Subsea. She has mentored numerous students, including co-authors Amir Hussain , Preetham Goli , and Sonal Patel , and contributed to the development of educational tools such as the Microgrid Test Bench .

• Optical Physics
• Nanophotonics
• Light-Matter Interaction
• +۵ مورد دیگر

Yi Yang serves as an Assistant Professor in the Department of Physics at The University of Hong Kong (HKU), Faculty of Science, joining the institution in 2022 as an HKU-100 Scholar. His academic journey includes foundational training at Peking University and advanced research at MIT. Education: Bachelor of Science (B.Sc.), Peking University Master of Science (M.Sc.), Peking University Doctor of Philosophy (Ph.D.), Massachusetts Institute of Technology (MIT) Professor Yang's research centers on optical physics and nanophotonics , specifically exploring light-matter interactions with free electrons and synthetic gauge fields. His pioneering work in non-Abelian physics bridges photonic and acoustic systems, while his investigations into free-electron radiation and topological photonics drive innovations in nanoscale electromagnetism. These efforts yield fundamental insights with applications in quantum simulation, novel light sources, and advanced materials engineering. Recent publications (2023-2024) reveal a pronounced focus on non-Abelian phenomena and synthetic gauge fields , evidenced by high-impact papers in Science and Nature . His work consistently integrates theoretical frameworks with experimental validation, establishing new paradigms in photonic flatband resonances and non-Hermitian systems. Scientific Awards: HKU-100 Scholar Professor Yang actively contributes to HKU's research ecosystem through graduate supervision and collaborative projects. While specific grant details aren't public, his publication trajectory indicates substantial research funding supporting his investigations into quantum photonics and nanoscale light-matter interactions. His laboratory operates within HKU's Department of Physics, leveraging specialized facilities in the Chong Yuet Ming Physics Building for experimental nanophotonics research and theoretical modeling of complex optical systems.

Rianne Conijnمشاهده پروفایل

استادیار

• Learning Analytics
• Human-Technology Interaction
• Artificial Intelligence
• +۶ مورد دیگر

Rianne Conijn is an assistant professor in the Human-Technology Interaction group at Eindhoven University of Technology (TU/e), Netherlands. Her research bridges data-driven methodologies (machine learning, statistical modeling) with human-centered design to enhance learning analytics, explainable AI, and writing process analysis. She holds a joint PhD (cum laude) from Antwerp University and Tilburg University, and an MSc (cum laude) in Human-Technology Interaction from TU/e. Academic Background: MSc (2015, TU/e, cum laude), PhD (2020, Antwerp University & Tilburg University, cum laude). Research Focus: Learning analytics, keystroke logging, explainable AI for education, data dashboards, and self-regulated learning dynamics. Teaching: Courses in Advanced Research Methods, Human-AI Interaction, Behavioral Research Methods, and AI ethics in education. Her recent publications explore parallel language planning in writing, longitudinal self-regulated learning strategies, and generalizability of academic performance prediction models. She leads an NWO Veni project on Human-Centered AI in education, emphasizing tailored explanations for student-AI collaboration. Scientific awards include cum laude distinctions for her MSc and PhD, and the NWO Veni grant. Collaborative work spans institutions in the Netherlands, Norway, and the U.S., with applications in intelligent tutoring systems and ethical AI deployment in exams. Key trends across her work: integration of machine learning with educational theory, leveraging keystroke data for cognitive process insights, and prioritizing actionable, explainable AI systems for student support. Publications span journals like the Journal of Experimental Psychology: General , Computers and Education , and IEEE Transactions on Learning Technologies . Scientific Awards: NWO Veni grant for Human-Centered AI in education Cum laude for MSc and PhD Grants & Collaborations: National Science Foundation grants (2016868, 2302644) for biometric feedback in writing UK Research and Innovation grant (ES/W011832/1) for real-time AI scaffolding TU/e Boost! Program grant for self-regulated learning analysis Labs & Teams: EAISI Foundational (Eindhoven AI Systems Institute) Human Technology Interaction group at TU/e Collaboration with Norwegian Reading National Center (University of Stavanger) Project teams for Waterproof ITS and ProWrite grants

Cory Smithمشاهده پروفایل

استادیار

• Aerospace Physiology
• Environmental Physiology
• Neurophysiology
• +۴ مورد دیگر

Dr. Cory Smith is an Assistant Professor in the Department of Health, Human Performance, and Recreation at Baylor University, where he directs the Human & Environmental Physiology Laboratory. His applied physiology research focuses on neurophysiological assessment methodologies, extreme environment adaptations, and sensor-based physiological monitoring systems. Current projects examine neuromuscular disease diagnostics, warfighter performance optimization, and cognitive-physiological responses in austere environments through translational research approaches. Primary research interests include: Aerospace/environmental physiology : Investigating human responses to hypoxia, cold, and gravitational stressors Neurophysiological monitoring : Developing fNIRS/EMG methodologies for clinical and tactical applications Sensor data fusion : Integrating multimodal physiological signals for performance assessment Muscle fatigue mechanisms : Studying neuromuscular adaptations during exertion under environmental constraints Analysis of recent publications (2022-2025) reveals dominant themes in neurophysiological monitoring techniques (particularly fNIRS applications), environmental stressor impacts on human performance, and rehabilitation physiology. Research consistently bridges clinical applications (neuromuscular diseases, cerebral palsy) with tactical performance optimization (marksmanship, combat fitness). Methodological innovations in EMG signal processing and hypoxia protocols form significant technical throughlines. Dr. Smith leads a research team collaborating with clinical practitioners to translate physiological insights into practical interventions for military personnel, occupational workers, and clinical populations.

Michael Oberstمشاهده پروفایل

استادیار

• Causal inference
• Machine learning
• Healthcare decision-making
• +۳ مورد دیگر

Michael Oberst is an Assistant Professor of Computer Science at Johns Hopkins University's Whiting School of Engineering, affiliated with the Malone Center for Engineering in Healthcare and the Data Science and AI Institute. His research focuses on developing reliable machine learning systems for healthcare decision-making, emphasizing causal inference and robust performance across diverse clinical settings. Key research themes include: Ensuring ML system reliability comparable to FDA-approved medical tools Causal reasoning in observational healthcare data Robustness to dataset shifts across hospitals Algorithmic fairness under unobserved confounding Medical adaptation of large language models Recent publications (2025-2024) demonstrate trends in prediction-powered inference, clinical validation frameworks, and robustness evaluation methods. His work appears in top ML venues (NeurIPS, ICML, UAI, EMNLP) and translational medicine journals. Michael holds a BS in Statistics from Harvard University and a PhD in Computer Science from MIT, with postdoctoral training at Carnegie Mellon University's Machine Learning Department. His group actively seeks PhD students and postdocs for developing trustworthy AI solutions in healthcare.

• Human Factors
• Cybersecurity
• Cognitive Science
• +۶ مورد دیگر

Dr. Oliver Guidetti serves as a Level A Lecturer in Psychology at the University of Wollongong, specializing in human factors, cyber vigilance, and applied cognitive science. His interdisciplinary research bridges psychology, cybersecurity, and artificial intelligence to address critical challenges in human-machine collaboration and security operations environments. His educational foundation includes: Bachelor of Mathematics from Edith Cowan University (2011-2014) Bachelor of Science in Psychology from Edith Cowan University (2011-2014) Bachelor of Science (Psychology Honours) from Edith Cowan University (2015) Doctor of Philosophy from Edith Cowan University (2019-2022) Guidetti's research centers on the cognitive and physiological dimensions of human performance in security contexts. He investigates how eye-tracking, biometric monitoring, and neuroergonomic approaches can optimize vigilance in cybersecurity operations, while exploring socio-technical impacts of AI on human decision-making. His work extends to digital relationship literacy and AI bias mitigation, demonstrating applications across defense, healthcare, and industrial settings through collaborations with the Department of Home Affairs and Western Australian Cyber Defence Taskforce. His 2023-2024 publications reveal a cohesive research trajectory focused on cyber vigilance task design, human-AI teaming frameworks, and neuroergonomic validation methods. The corpus shows increasing integration of biometric data with cognitive theory to develop real-time performance assessment tools, alongside growing attention to ethical AI governance and cross-sector resilience in critical infrastructure protection. As an educator, Guidetti supervises Honours and PhD students in human factors and AI-driven research while teaching psychology research methods and cybersecurity applications. He co-developed an Australian Psychological Society-certified professional development course for psychologists entering cybersecurity fields, demonstrating his commitment to translating research into industry practice. His professional leadership includes advising on cyber vigilance frameworks, developing AI bias mitigation strategies, and serving on APS committees focused on digital psychology applications. Current projects involve designing AI-driven dating simulators for relationship literacy interventions and creating certified training programs for security operations personnel.