جستجوی استاد راهنمای دانشگاهی

• Natural Language Processing
• Machine Learning
• Deep Learning
• +۷ مورد دیگر

Tuğba Dalyan is an Associate Professor in the Department of Computer Engineering at Istanbul Bilgi University, Faculty of Engineering and Natural Sciences. She holds a Ph.D. in Computer Engineering from Yıldız Technical University (2014), an MSc from Kocaeli University (2007), and dual BSc degrees in Mathematics and Computer Science and Business Administration (Minor) from Istanbul Bilgi University (2003). She has been a faculty member since 2016 and previously served as a Teaching Staff member and Research Assistant at the same institution. Her research focuses on Natural Language Processing , Machine Learning , Deep Learning , Text Mining , Data Science , and Big Data Analytics . Her work spans computational linguistics, sentiment analysis, author profiling, machine translation, and smart systems. She has led and contributed to numerous research projects, particularly in AI-driven urban solutions and health technologies. The most recent publications show a strong trend in Turkish NLP, zero-shot classification, multimodal AI (image captioning), emotional robotics, and decision support systems using fuzzy logic. Her work combines theoretical rigor with practical applications in smart cities, education, and healthcare. Best Paper Award , CICLing 2012 TÜBİTAK 2209-A student project awards (2022–2024) Horizon2020 Eşik Üstü Ödülü , MIMOSCSA 2024 TÜBİTAK 2242 competition: 2nd and 3rd place (2016, 2018) She has advised numerous student research projects, many of which have received national recognition. She has directed multiple TÜBİTAK and institutional research grants, including projects on smart homes, blockchain crowdfunding, mental health, and AI for social polarization. Her leadership roles include Head of Department, Vice Dean, and Director of Graduate Programs. Tuğba Dalyan leads research in AI and NLP with a strong emphasis on Turkish language technologies. She is involved in interdisciplinary teams working on emotional robots, smart city platforms, and citizen science ecosystems. Her lab activities focus on neural networks, text analysis, and intelligent systems development.

Robert G. Blandمشاهده پروفایل

استاد

• Linear Programming
• Combinatorial Optimization
• Network Flow Theory
• +۳ مورد دیگر

Robert G. Bland is a Professor at Cornell University's School of Operations Research and Information Engineering (ORIE). He joined Cornell in 1978 after roles at SUNY Binghamton and research fellowships in Belgium. He is affiliated with the Center for Applied Mathematics and specializes in linear programming, combinatorial optimization, and network flow theory. His research emphasizes algorithmic efficiency, duality theory, and applications in scheduling and resource allocation. Education: B.S. (1969), Cornell University M.S. (1972), Cornell University Ph.D. (1974), Cornell University Research Interests: Focuses on linear programming duality, combinatorial abstractions, computational methods for optimization, and applications in logistics, scheduling, and scientific computing. Notable work includes the development of new pivoting rules for the simplex method and empirical studies of network flow algorithms. Publications Insight: His work spans foundational LP theory, combinatorial optimization, and algorithmic analysis. Key themes include duality frameworks, Camion bases, and large-scale TSP applications in crystallography. Recent publications address abstract dualities and historical perspectives on pioneers like D. Ray Fulkerson. Awards: Recipient of Cornell's prestigious Merrill Outstanding Educator Award (3 times) and twice recognized as ORIE's best teacher. Member of the Mathematical Optimization Society and American Society for Engineering Education. Grants & Projects: Conducted service projects on vehicle routing and examination scheduling. Collaborated on computational studies of min cost flow algorithms and network flow performance. Labs/Teams: Active in ORIE's research groups, particularly those focused on optimization theory and computational methods.

Brad Campbellمشاهده پروفایل

دانشیار

• Ubiquitous Computing
• Internet of Things (IoT)
• Embedded Systems
• +۱۲ مورد دیگر

Brad Campbell is an Associate Professor in the Department of Computer Science and Electrical and Computer Engineering at the University of Virginia, where he is a member of the Link Lab, a cross-disciplinary research group focused on cyber-physical systems. His research centers on designing and building scalable, effective, and unobtrusive embedded systems for the Internet of Things, with applications in smart buildings, smart cities, and personal health. His work spans hardware design, networking, and cloud infrastructure, with a strong emphasis on energy-harvesting systems, low-power wireless communication, and resilient embedded operating systems. He has led projects such as the Living Link Lab, a heavily instrumented smart building testbed, and has developed open-source platforms for self-powered sensing and IoT ecosystems. His recent publications reflect a strong trend toward privacy-preserving federated learning, contactless occupancy sensing using WiFi and light, decentralized edge computing, and sustainable IoT systems. These works are published in top venues including SenSys, BuildSys, MobiCom, and IPSN, indicating a high impact in the systems and networking community. NSF CAREER Award (2022) Best Paper Award at DFHS’19 Multiple graduate fellowships and teaching awards for his students UVA Engineering Endowed Graduate Fellowships Link Lab Seminar Award CPS Rising Star recognition Brad Campbell has advised numerous PhD and master’s students, many of whom have gone on to academic and industry roles. He has secured significant research funding, including from the NSF, and has contributed to curriculum development in cyber-physical systems. He is actively involved in teaching courses on computer networking, IoT, and operating systems, and has co-taught wireless IoT courses across multiple institutions. His lab focuses on real-world deployment of IoT systems, emphasizing scalability, fault tolerance, and long-term sustainability. He continues to push the boundaries of what embedded systems can achieve in everyday environments, from homes to cities.

Lynda Grattonمشاهده پروفایل

استاد

• Corporate culture
• Human resource management strategy
• Organisational change
• +۳ مورد دیگر

Lynda Gratton is a Professor of Management Practice in Organisational Behaviour at London Business School. She directs the globally renowned program 'Human Resource Strategy in Transforming Companies' and teaches a highly popular elective on the Future of Work, for which she received the 'Excellence in Teaching' award in 2016. She has led the Future of Work Consortium for over a decade, facilitating collaboration among executives from 60+ companies via a bespoke platform. Her research explores the intersection of people and organizations, with key interests in: Corporate culture and organizational learning Strategic management and HR strategy Organisational change dynamics Future of work innovation and hybrid models Longevity's societal impacts Her recent publications demonstrate a consistent focus on workplace evolution, particularly analyzing hybrid work models, AI's human implications, and leadership during disruption. Articles frequently address resilience, technological adaptation, and redefining organizational structures for an uncertain future. Awards & Honors: Thinkers 50 Top 15 Global Thinker Warren Bennis Best Article (2022) CMI Management Book of the Year (2015) FT Business Book shortlist (2017) Tata Prize (India), NAHR Fellowship (US), HR Prize (Australia) She advises global institutions including the World Economic Forum (where she co-chaired the Council on Work, Wages and Job Creation) and served on Japanese Prime Minister Abe's advisory board. She currently contributes to MIT Sloan Management Review and The Times of London. Through the Future of Work Consortium, she leads a major initiative connecting executives worldwide to address workforce transformation challenges, emphasizing collaborative innovation.

Alasdair McDonaldمشاهده پروفایل

استاد

• Offshore Wind Energy
• Renewable Energy Systems
• Electrical Machine Design
• +۵ مورد دیگر

Professor Alasdair McDonald holds the Chair in Renewable Energy Technology at the School of Engineering, University of Edinburgh . His work focuses on the integrated electrical-magnetic-mechanical modeling and design of large electrical machines for offshore renewable energy systems , particularly wind turbine powertrains . He previously served as a Lecturer, Senior Lecturer, and Reader in Wind Turbine Technology at the University of Strathclyde. Education: PhD in Structural Analysis of Low-Speed, High-Torque Generators (University of Edinburgh, 2008) MEng (Hons) in Integrated Electrical & Mechanical Engineering (University of Durham, 2004) Research Interests: Design of permanent magnet electrical machines for wind and marine energy Lightweight generator structures and advanced manufacturing methodologies Condition monitoring using SCADA and vibration data Cost of energy optimization for offshore renewables Projects: STREAM 1: Innovations in Forth/Tay Offshore Wind Clusters (EPSRC, 2025-2029) Wind2DC: Medium Voltage DC Power Take-Off Systems (EPSRC, 2023-2026) PV054: Modular Generators for Floating VAWTs (EPSRC & SeaTwirl AB, 2023) Media Contributions: Quoted in research media about floating hydrogen production systems (2025)

Phaedra C. Pezzulloمشاهده پروفایل

استاد

• Environmental Justice
• Climate Justice
• Environmental Communication
• +۵ مورد دیگر

Phaedra C. Pezzullo is a Professor in the Department of Communication within the College of Communication, Media, Design & Information at the University of Colorado Boulder. She also holds affiliations as a Faculty Associate of Environmental Studies and Faculty Affiliate of both Ethnic Studies and Media Studies, reflecting her interdisciplinary approach to environmental communication and justice. Dr. Pezzullo's research focuses on environmental and climate justice studies, rhetorics of social movements, and environmental communication in public spheres. Her work bridges academic scholarship with public engagement, particularly through her concept of environmental communication as a care discipline rather than solely a crisis discipline. She examines how communities use storytelling, tours, and other communication practices to address environmental injustices. Analysis of her recent publications reveals a strong emphasis on plastic pollution, care ethics in environmental contexts, climate justice communication, and the intersection of environmental issues with carceral systems. Her work increasingly focuses on networked cultures of care and how communities build resilience through communication practices. Tarla Rai Peterson top Book Award in Environmental Communication Diamond Anniversary Book Award Book of the Year Award in Critical and Cultural Studies Jane Jacobs Book Award from the Urban Communication Foundation Dr. Pezzullo actively engages with numerous organizations including the American Bar Association, Colorado Department of Public Health and Environment, University Cooperation for Atmospheric Research, The Pulitzer Center, and the Sierra Club. She has been quoted in major media outlets including The Guardian, TIME, Los Angeles Times, Open Canada, and CNN Travel. She directs the Sustainability and Storytelling Lab and co-directs several initiatives including C3BC, the Just Transition Collaborative, Inside the Greenhouse, and the CU Boulder Graduate Certificate in Environmental Justice.

Michael Philbenمشاهده پروفایل

دانشیار

• Carbon Cycle
• Climate Change Biogeochemistry
• Peatland Ecosystems
• +۴ مورد دیگر

Dr. Michael Philben is an Associate Professor of Chemistry and Geological and Environmental Science at Hope College, where he joined in 2019 after postdoctoral positions at Memorial University (Canada) and Oak Ridge National Laboratory. His research focuses on climate-carbon cycle feedbacks in vulnerable ecosystems, particularly peatlands and Arctic tundra. His educational background includes a Ph.D. in Marine Science from the University of South Carolina (2014) and a B.A. in Earth and Planetary Science from Northwestern University (2010). At Hope College, he teaches Environmental Science courses and contributes to the Day1: Watershed program. Philben's research centers on carbon and nitrogen cycling in ecosystems containing vast organic carbon stocks. He leads an NSF CAREER-funded project investigating Michigan peat bogs as natural laboratories for climate change impacts, using a north-south transect from Portage to Newberry as a 'space-for-time' experiment. His work examines methane emissions, nitrogen availability, and net carbon balance under warming conditions, with particular attention to Sphagnum-dominated peatlands at the southern edge of their climate range. His 15 most recent publications (2020-2024) reveal a strong focus on peatland biogeochemistry, with increasing emphasis on methane dynamics, nitrogen cycling, and the role of specific biochemical compounds like sphagnan. The research combines field measurements across climate gradients with laboratory experiments, often involving Hope College students in all project phases. NSF CAREER Award for peatland climate research Philben actively mentors undergraduate researchers through the Philben Research Group, which investigates how warming impacts carbon cycling in peatlands. His projects involve interdisciplinary work spanning analytical chemistry, geology, and ecology. The group maintains a network of seven Michigan peat bog field sites and collaborates on international research, including Arctic studies in Alaska and Canada. His laboratory focuses on using analytical chemistry tools to predict climate-carbon cycle feedbacks, with particular attention to southern Michigan peatlands as sentinels for larger northern peatland complexes. The research group employs techniques including greenhouse gas flux measurements, radiometric dating of peat cores, and analysis of organic matter composition.

Bin Zhuمشاهده پروفایل

پژوهشگر ارشد

• Multiscale residual stress evaluation
• In situ mechanical testing
• Computational modelling
• +۳ مورد دیگر

Dr. Bin Zhu is a Research Fellow in the School of Mechanical Engineering Sciences at the University of Surrey, affiliated with the Centre for Engineering Materials. He obtained his PhD from the same institution, focusing on multiscale residual stress evaluation and mechanical property characterization using microscopy and large-scale facilities. His research develops techniques for harsh environments to enhance material longevity by managing manufacturing-induced residual stress, with applications in nuclear fusion components. Education PhD, University of Surrey (Research focus: Multiscale residual stress evaluation and mechanical property characterization) Research Focus Dr. Zhu's research centers on three interconnected areas: 1) Multiscale residual stress evaluation using advanced techniques like plasma-focused ion beam and neutron diffraction; 2) In situ mechanical testing under extreme conditions; and 3) Computational modeling for predicting stress distributions and material behavior. His work primarily addresses nuclear fusion reactor challenges, particularly laser-welded Eurofer97 steel components, where residual stress critically impacts structural integrity. Publication Trends Dr. Zhu's recent publications (2021-2025) demonstrate three key themes: 1) Advanced residual stress analysis in nuclear materials using machine learning, neutron imaging, and synchrotron techniques; 2) High-temperature mechanical performance of welded joints for fusion reactors; and 3) Biomimetic material characterization, including bioinspired composites and biological light-diffraction mechanisms. His methodologies consistently integrate multiscale experimental approaches with computational modeling.

Saurabh Bhargavaمشاهده پروفایل

دانشیار مهمان

• Behavioral Economics
• Decision-Making
• Health Insurance
• +۶ مورد دیگر

Saurabh Bhargava is a Visiting Associate Professor of Economics at the Booth School of Business , The University of Chicago , and a former Associate Professor of Economics at Carnegie Mellon University . He is also an academic affiliate of the Jameel Poverty Action Lab (J-PAL) at Masachusetts Institute of Technology . Education: He holds an AB from Harvard University and a PhD in Economics from UC Berkeley . Prior to academia, he worked at McKinsey & Company . Research Interests: His work lies at the intersection of behavioral economics, public policy, health economics, and finance. Key areas include: Health Insurance: Complexity, choice architecture, and behavioral interventions. Retirement Savings: Field experiments on savings puzzles and auto-escalation. Decision-Making: Risk-taking, contrast effects (e.g., speed dating), and heuristics in policy design. Happiness & Well-Being: Data-driven analysis of emotional welfare and time-use. Media & Consulting: His research has been featured in The New York Times , Wall Street Journal , and Vox . He has consulted with organizations like the IRS , DOJ , and firms such as Pittsburgh Penguins and Voya Financial . Article Trends: His publications focus on behavioral economics applications in health insurance (e.g., complexity and dominated options), retirement savings (field experiments), and well-being (boredom, parental happiness). Keywords include Decision-Making , Policy Design , Machine Learning , and Health Economics . Expert Engagement: He has participated in roundtables hosted by The Aspen Institute , Brookings Institution , and Russell Sage Foundation .

Jackson G. Luمشاهده پروفایل

دانشیار

• Cultural Psychology
• Organizational Behavior
• Artificial Intelligence Ethics
• +۳ مورد دیگر

Jackson G. Lu is the General Motors Associate Professor of Management and an Associate Professor of Work and Organization Studies at the MIT Sloan School of Management. His scholarly work bridges cultural psychology with organizational behavior, examining how cultural differences manifest in AI adoption, creativity, and leadership dynamics. He serves as senior editor for Organization Science and Management and Organization Review , and associate editor for Journal of Personality and Social Psychology . Dr. Lu earned his PhD from Columbia Business School in 2018 and received tenure at MIT in 2023. His research has been published in top-tier journals across psychology, management, and general science domains, including Nature Human Behaviour , Psychological Bulletin , and Annual Review of Psychology . His work has garnered over 300 media mentions globally. Cross-Cultural Psychology AI Ethics and Creativity Leadership Emergence Stereotype Research Technological Adoption Workplace Diversity Recent research focuses on cultural tendencies in generative AI , AI's impact on creativity , and structural barriers faced by Asian professionals . He has received numerous accolades from professional societies including the Wegner Theoretical Innovation Prize and multiple Best Senior Editor Awards. 40 Best Business School Professors Under 40 Thinkers50 Radar Class of 2021 Academy of Management Award Outstanding Dissertation Award (2019) SAGE Early Career Award Dr. Lu teaches through MIT Sloan Executive Education's 5-day program Leading the AI-Driven Organization , and his findings have been featured in The New York Times , BBC , and The Economist . His editorial leadership spans multiple journals, reflecting his influence across academic networks.

Jeremy J. Michalekمشاهده پروفایل

استاد

• Vehicle Electrification
• Life Cycle Assessment
• Consumer Behavior
• +۱۲ مورد دیگر

Jeremy J. Michalek is a Professor of Mechanical Engineering and Engineering and Public Policy at Carnegie Mellon University. He serves as Director of the Design Decisions Laboratory and co-Director of the Vehicle Electrification Group, with affiliations in multiple sustainability-focused institutes including the Center for Climate and Energy Decision-Making. Education: Ph.D. in Mechanical Engineering (University of Michigan, 2005) Research spans vehicle electrification , life cycle analysis , consumer behavior , and green design . His recent publications focus on battery economics, charging infrastructure impacts, and equity considerations in transportation technologies. Key awards include the NSF CAREER Award , ASME Best Paper Award , and George Tallman Ladd Research Award . Michalek's work has been featured in major media outlets including The New York Times , The Atlantic , and BBC , with policy briefings presented on Capitol Hill. Current research explores EV supply chains, climate resilience, and transportation equity.

• Computational social science
• Social computing
• Information systems
• +۹ مورد دیگر

Björn Ross is a Lecturer in Computational Social Science at the University of Edinburgh's School of Informatics, where he is affiliated with the Institute for Language, Cognition and Computation. He serves as Director of the SMASH research group and is part of the management team for the Centre for Doctoral Training in Natural Language Processing (CDT in NLP). His educational background includes: PhD (2019) from the University of Duisburg-Essen MSc in Computer Science (2016) from the University of Münster Exchange year (2014-2015) at the University of Strasbourg BSc in Information Systems (2013) from the University of Münster Ross's research focuses on computational social science, particularly using natural language processing, social network analysis, and agent-based modeling to study social media phenomena. His work examines misinformation, hate speech, bot activity, and the ethical implications of computational methods. He also investigates how social media can be leveraged for social good, especially in crisis communication contexts. A significant portion of his recent research addresses bias and fairness issues in AI systems, particularly regarding marginalized communities and LGBTQ+ identities. His work spans both technical development of computational methods and critical examination of their societal impacts. Analysis of his recent publications reveals a strong trend toward examining bias in AI systems, particularly regarding marginalized communities. His work spans multiple methodologies including computational analysis of social media data, development of NLP techniques, and critical examination of AI ethics. He frequently collaborates across disciplines, working with researchers in computer science, social sciences, and healthcare domains. His professional recognition includes: Best Paper Award at the Hawaii International Conference on System Sciences (HICSS) in 2018 Associate Editor for Business & Information Systems Engineering Active membership in professional organizations including AIS, ACL, and ACM Ross currently supervises multiple PhD students including Agostina Calabrese, Eddie Ungless, Sandrine Chausson, Wendy Zheng, Seraphina Goldfarb-Tarrant, and Mahmoud Ibrahim. At the University of Edinburgh, he teaches courses such as 'Text Technologies for Data Science' and 'Evidence, Argument and Persuasion in a Digital Age,' reflecting his expertise at the intersection of computational methods and social implications.

• Forgiveness
• Interpersonal Relationships
• Interdisciplinary Teaching and Learning
• +۴ مورد دیگر

Dr. Reine van der Wal is an Associate Professor at the Faculty of Social and Behavioural Sciences , Utrecht University, specializing in Social, Health and Organisational Psychology . Her work focuses on the intersection of social relationships, forgiveness, and organizational dynamics. Research Themes: Forgiveness, interpersonal relationships, workplace psychosocial risks, and interdisciplinary teaching. Collaborations: Graduate School of Life Sciences, UWV (Dutch Employee Insurance Agency), Netherlands Labour Authority. Her research explores relationship imbalances in organizations and families, including restoring social safety after trust breakdowns, forgiveness in post-divorce co-parenting, and workplace aggression. She integrates findings into policy development on social safety at Utrecht University. Key Publications (2024-2017) address forgiveness in late childhood, romantic relationships, work-family guilt during the pandemic, and dyadic coping in chronic illness. These works span psychology, organizational ethics, and developmental studies, emphasizing emotional regulation and social cohesion. Scientific Awards: SPSP Service Award (In-Mind Magazine, 2016) Advising: Supervises PhD research on social safety in academia (Julia Houben) and institutional trust (Michiel Kuik). Involved in workplace psychosocial risk research with Netherlands Labour Authority.

• Energy Efficiency in Communication Networks
• Quality of Service (QoS) and Quality of Experience (QoE)
• Network and Service Management
• +۵ مورد دیگر

Dr. Frank Loh is a researcher at the Department of Computer Science III, University of Würzburg, specializing in energy efficiency, network performance, and Quality of Experience (QoE) in communication networks. His work focuses on optimizing LoRaWAN deployments, serverless computing, and edge-cloud environments, with an emphasis on reducing message collisions and improving resource utilization. He actively contributes to methodologies for gateway placement, traffic modeling, and energy consumption metrics. Research Areas Energy Efficiency in Communication Networks Quality of Service (QoS) and Quality of Experience (QoE) LoRaWAN Network Planning Edge and Serverless Computing Network Resource Analysis Recent Publications 2025: Energy modeling for 6G base stations 2025: Server cluster resilience via Markov models 2024: Serverless computing in edge-cloud environments 2024: LoRaWAN channel access optimization

• Internet of Things (IoT)
• Wireless Sensor Networks
• Telecommunications
• +۷ مورد دیگر

Prof. Dr. Gordana Gardašević is a full professor at the Department of Telecommunications, Faculty of Electrical Engineering, University of Banja Luka, Bosnia and Herzegovina. She has been actively contributing to telecommunications research and education since the early 2000s and was appointed to full professor in September 2020. Her research interests focus on advanced networking technologies, particularly in these areas: Industrial Internet of Things (IIoT) and 6TiSCH networks Visible Light Communication and audio/speech quality assessment Quality of Service (QoS) in heterogeneous wireless networks Smart healthcare applications using IoT technologies Network protocols for time-sensitive industrial applications Professor Gardašević's publication record shows consistent research activity over two decades with a strong recent focus on 6TiSCH networks and Visible Light Communication. Her work combines theoretical analysis with experimental validation using platforms like OpenMote-B. She has published in reputable journals including IEEE Sensors, Entropy, and Wireless Personal Communications, with increasing emphasis on healthcare applications of IoT technologies in recent years. She has served as principal investigator for numerous research projects including: Algoritmi za lokalizaciju u IoT mrezama (2025, active) Eksperimentalno testiranje performansi industrijskih 6TiSCH mreza (2022-2023) Razvoj Internet of Things (IoT) aplikacija primjenom opticko-bezicnih tehnologija (2021-2022) Projectovanje industrijskih Internet of Things aplikacija (2021) Razvoj algoritama za vremenski osjetljive aplikacije u industrijskim IoT mrezama (2019-2021) Professor Gardašević collaborates extensively with researchers across Europe through COST Actions and Horizon Europe initiatives. Her laboratory work focuses on experimental testbeds for IoT and industrial communication systems, particularly using OpenMote platforms for 6TiSCH network evaluation. She has also contributed to standardization efforts through white papers and collaborative projects.