جست‌وجوی استاد و پژوهشگر

Ali Coruhمشاهده پروفایل

استاد

• Condensed Matter Physics
• Nanotechnology
• Materials Science
• +۳ مورد دیگر

Prof. Dr. Ali Coruh is a distinguished faculty member at Sakarya University 's Faculty of Science, Department of Physics , where he has served as Head of the General Physics Department since 2022. With a career spanning over three decades, his expertise lies in Condensed Matter Physics , Nanotechnology , and Materials Science , focusing on perovskite oxides , adsorbent materials , and supercapacitor applications . PhD in Physics, Middle East Technical University (2003) MSc in Physics, Sakarya University (1996) BSc in Physics, Karadeniz Technical University (1989) His research interests include computational modeling of molecular structures, environmental pollutant removal using nanomaterials, and electrochemical properties of advanced materials. Recent studies focus on pharmaceutical pollutant recovery via organoclay composites, Pd-doped perovskites for biosensing, and perovskite oxides for energy storage. His work bridges theoretical and experimental approaches in solid-state physics and environmental remediation . The article trends show consistent contributions to Journal of the Taiwan Institute of Chemical Engineers , Chemical Engineering Journal , and Journal of Energy Storage , with a focus on adsorption mechanisms , electrocatalysis , and nanocomposite synthesis . Collaborations span international institutions, including studies on supercapacitor electrode materials and microwave absorbing textiles . As an academic leader, he has supervised 14 doctoral and master's theses , including works on molecular dynamics , perovskite oxides , and nanoparticle-based sensors . He has also served on editorial boards for journals like Materials Chemistry and Physics (2010-2013) and contributed to TUBITAK Olympiad training .

• Citizen Science
• Biodiversity Monitoring
• Road Ecology
• +۷ مورد دیگر

Daniel Dörler is a Senior Scientist at the Institute of Zoology, University of Natural Resources and Life Sciences, Vienna (BOKU), where he has been employed since 2019. His academic background includes a doctorate in Natural Resources and Life Sciences from BOKU and studies in Biology/Zoology from the University of Vienna. He is a leading figure in the Austrian and European citizen science movement, with a focus on biodiversity, road ecology, and public engagement in science. Institution: University of Natural Resources and Life Sciences, Vienna (BOKU) Department: Institute of Zoology Position: Senior Scientist (wissenschaftlicher Mitarbeiter) Email: daniel.doerler@boku.ac.at ORCID: 0000-0003-2056-4084 Daniel Dörler’s research interests center on citizen science, biodiversity monitoring, and ecological research, particularly in urban and road environments. He investigates the role of public participation in data collection for scientific research and conservation, with a focus on roadkill and amphibian populations. His work bridges ecology, social science, and science communication, emphasizing the transformative potential of citizen science for both science and society. He is deeply involved in methodological development, quality criteria, and the scalability of citizen science projects. His recent publications demonstrate a strong trend towards the integration of technology, policy, and community engagement in citizen science. Works such as automated species detection for anurans, roadkill hotspot analysis, and the development of scalability toolkits highlight a move towards data-driven, policy-relevant, and ethically sound citizen science. The articles consistently focus on practical applications, project design, and the societal impact of participatory research, spanning sub-fields like conservation biology, bioacoustics, and science policy. Daniel Dörler has received numerous scientific awards, reflecting his excellence in research, teaching, and public outreach: 2023: Ars Docendi Award for excellent teaching, Honorary Mention for the Roadkill project (EU Citizen Science Prize), and multiple awards for co-supervised Master’s theses. 2022: Sustainability Award from Austrian Federal Ministries. 2017: BOKU Sustainability Prize and recognition as a Pioneer of Open Innovation in Science. 2018: Nomination for the National Animal Welfare Prize. Dörler is a principal investigator and project leader on numerous research grants from the European Commission, Austrian Science Fund (FWF), and national agencies. He is a key figure in the Citizen Science Network Austria and the platform "Österreich forscht." He frequently presents at international conferences, contributes to policy discussions, and mentors students. His collaborative work with Florian Heigl and others has established a robust network for citizen science in Austria and beyond. Daniel Dörler is a core member of the Citizen Science Network Austria and leads multiple projects such as "Leading Lights," "STEM education," and "Explore Research from East to West in Austria." He is also deeply involved in the "Roadkill" project and the "AmphiBiom" initiative for amphibian conservation. His work fosters a collaborative environment that brings together researchers, citizens, and policymakers to address pressing environmental challenges.

Birgitte Zeunerمشاهده پروفایل

دانشیار

• Glycosylation
• Enzyme Technology
• Human Milk Oligosaccharide Synthesis
• +۶ مورد دیگر

Birgitte Zeuner is an Associate Professor at the Department of Biotechnology and Biomedicine , Technical University of Denmark, specializing in Protein Chemistry and Enzyme Technology . Her research focuses on Enzymatic Synthesis Technology with particular emphasis on carbohydrate-active enzymes. Active supervisor in Engineering alkenal reductase reversibility (2025-2028) Main supervisor in Regioselectivity in enzymatic carbohydrate synthesis (2024-2027) Supervisor in Enzymatic xyloglucan modification (2018-2022) Recent 54 publications highlight her work on glycosylation, human milk oligosaccharides, and transglycosylation. She has received significant attention in Mendeley readership and peer review platforms. Current projects explore: Enzyme engineering for biomass upgrading Sustainable biocatalytic processes using ionic liquids Gut microbiome interactions with plant-derived carbohydrates Her research aligns with UN Sustainable Development Goals for biocatalytic applications in health and sustainability.

Jully Tanمشاهده پروفایل

دانشیار

• Engineering Education
• Sustainable Manufacturing
• Life Cycle Assessment
• +۳ مورد دیگر

Dr. Jully Tan serves as an Associate Professor (Education Focused) at Monash University Malaysia's School of Engineering, leveraging over fifteen years of expertise in chemical engineering education and curriculum development. She plays pivotal roles in program accreditation through Malaysia's Engineering Accreditation Council and actively contributes to UN Sustainable Development Goals via educational and environmental research. Her academic credentials include: PhD in Chemical Engineering, Universiti Malaya (research: life cycle assessment for microalgae production) Master of Environmental Engineering, Universiti Teknologi Malaysia B.Eng. in Chemical Engineering, Universiti Teknologi Malaysia Dr. Tan's research centers on engineering education innovation —developing VR tools for process safety and gamified learning—and sustainable manufacturing , specializing in life cycle assessment of carbon/water footprints across palm oil, plastic waste, and biogas systems. Her work bridges theoretical knowledge with practical workplace readiness for multidisciplinary engineering students. Analysis of her 15 most recent publications (2022-2024) reveals dual thematic trajectories: educational technology (VR, gamification, digital equity) and circular economy solutions (plastic recycling, biowaste valorization, cellulose nanocrystals). These integrate environmental economics with industrial ecology, emphasizing scalable sustainability metrics for developing economies. Her accolades demonstrate excellence in both domains: IChemE Malaysia Highly Commended Award (2024) for educational innovation Engage & Educate Digital Learning Design Competition winner (2024) Faculty of Engineering Australia-Malaysia Travel Grant (2023) School of Engineering Certificate of Commendation for Early Career Education (2021) Institution of Engineers Malaysia Presidential Award (2022) As Primary Chief Investigator, Dr. Tan secures competitive grants including the 2025 Monash-Warwick project on ethical preparedness in engineering education and the ongoing VR-based process safety initiative (2022-2024). She mentors PhD candidates in teaching tool development and sustainable manufacturing while serving on national accreditation panels. Her leadership extends to organizing the Asia PSE Symposium and Malaysian Chemical Engineers Symposium, fostering industry-academia collaboration through the Institution of Engineers Malaysia.

Bryan Hubbardمشاهده پروفایل

استاد

• workforce development
• construction supply chain management
• modularization
• +۶ مورد دیگر

Bryan Hubbard is a Professor at Purdue University's School of Construction Management Technology, where he has taught for over 20 years. He has taught nineteen unique courses in construction addressing a wide range of the construction curriculum, with a focus on estimating, design construction integration, and industrial construction. His educational background includes a Ph.D. in Civil Engineering from Texas A&M University and both Master's and Bachelor's degrees from Purdue University (MSE and BSME respectively). He is also licensed as a professional engineer in the State of Indiana. Professor Hubbard's research interests span multiple critical areas in modern construction: workforce development, construction supply chain management, modularization, construction safety, sustainability and energy efficiency, industrial construction, and UAS/Drone applications. His work demonstrates a strong focus on practical applications of technology to solve real-world construction challenges, particularly in sustainability and safety domains. His publications reveal consistent research activity with a recent emphasis on drone technology applications in construction and transportation, sustainability metrics for infrastructure, and knowledge management in construction companies. His work bridges the gap between academic research and industry practice, often collaborating with industry partners to address current challenges. Charles B. Murphy Outstanding Undergraduate Teaching Award (2023) Magoon Award for Excellence in Teaching Professor Hubbard has held leadership roles including Head of the School of Construction Management Technology from 2013 to 2016, during which he led curriculum transformation initiatives and oversaw the creation of the Design Construction Integration degree. He has also been granted three patents related to heat exchanger technology for cooling systems, demonstrating his ability to translate research into practical innovations. His teaching philosophy emphasizes real-world connections, with a focus on preparing students for industry challenges through practical application of fundamentals. He has led international study trips to China, Mexico, Puerto Rico, and Barcelona to broaden students' perspectives.

Virpi Rotoمشاهده پروفایل

مدرس ارشد

• Experience Design
• Human-Computer Interaction
• B2B Design
• +۹ مورد دیگر

Virpi Roto is a Senior Lecturer at Aalto University's Department of Design (School of Arts, Design and Architecture). She specializes in Experience Design for business-to-business industries, focusing on transforming technology companies into experience providers through co-design and service design methodologies. Key research domains: Human-AI interaction, sustainable futures, and workplace experience design Collaboration hubs: Leads the Encore research group Global influence: Top-cited academic in UX research Her work explores the intersections between User Experience , Customer Experience , and Employee Experience , with a particular emphasis on automation maturity and sociomaterial approaches to transparency in remote teams. Recent publications highlight trends in Human-AI team dynamics and experience-driven industrial systems . She actively bridges Design Fiction with ethical awareness in co-design workshops and develops frameworks for measuring long-term UX. Virpi collaborates with researchers across Finland, Sweden, and international institutions, frequently co-authoring with experts like Philippe Palanque, Matthias Baldauf, and Wendy Ju.

Labros Bisdounisمشاهده پروفایل

استاد

• CMOS Circuit Design
• Low-Power Electronics
• Embedded Systems
• +۴ مورد دیگر

Labros Bisdounis is a Professor at the Department of Electrical and Computer Engineering, University of the Peloponnese, Greece. He previously held positions at the Technological Educational Institute of Western Greece, including Associate Professor, Full Professor, and Dean of the School of Technological Applications (2016–2018). He has extensive industry experience as a senior research engineer and project manager at Intracom S.A. (2000–2008), focusing on VLSI circuits and telecom applications. His research interests include CMOS circuit timing/power modeling, low-power/high-speed design, MOSFET modeling, and sensor applications. He has authored over 30 papers with 740+ citations and is an IEEE member. Education: Diploma in Electrical Engineering (1992), University of Patras Ph.D. in Electrical Engineering (1999), University of Patras Research Interests: CMOS circuit timing and power dissipation modeling Deep-submicron/nano-CMOS circuit design MOSFET device modeling Low-power embedded systems and SoC Sensor applications and organic electronics Leadership Roles: Dean of the School of Engineering, University of the Peloponnese (2023–present) Director of Training & Lifelong Learning Centre (2019–2019) Board Member, Hellenic NARIC (2016–2019) Collaborations: Active at the Hellenic Open University as a tutor in Computer Architecture and Digital Systems modules. Co-developed the AETHER framework for pervasive computing and contributed to energy-aware SoC designs for 5 GHz WLANs.

Tuukka Ruotsaloمشاهده پروفایل

دانشیار

• Brain-Computer Interfaces
• Human-Information Interaction
• Recommender Systems
• +۴ مورد دیگر

Tuukka Ruotsalo serves as Associate Professor in the Machine Learning Section at the Department of Computer Science, University of Copenhagen. His research bridges human cognition with computational systems through brain-computer interfaces and physiological computing. As Academy Research Fellow at University of Helsinki (2019-2024), he maintained dual institutional affiliations while leading cutting-edge work in neuro-linguistic modeling and affective relevance. His research focuses on brain-computer interfaces for information retrieval , where he pioneers methods to decode cognitive states from neural signals to improve search systems. Key areas include affective relevance modeling that integrates emotional states into search algorithms, and neuro-linguistic reconstruction that translates brain activity into language. His work on fairness-relevance tradeoffs in recommender systems established Pareto frontier evaluation frameworks now widely adopted in ethical AI research. Recent publications demonstrate how physiological signals like EEG and galvanic skin response can create more adaptive human-information interaction systems. Ruotsalo's scientific recognition includes the prestigious Academy Research Fellow position. His publications in IEEE Transactions on Human-Machine Systems , Journal of the Association for Information Science and Technology , and Communications Biology reveal growing interdisciplinary impact. His advising spans cognitive neuroscience and machine learning students, with notable collaborations across the SCIENCE AI Centre. Current projects include the TreeSense initiative for remote sensing of global tree resources and development of quantum-inspired neural architectures. His lab leverages the department's powerful compute cluster for large-scale physiological data analysis.

Robson De Grandeمشاهده پروفایل

دانشیار

• Vehicular Networks
• Intelligent Transportation Systems
• Cloud Computing and Networking
• +۵ مورد دیگر

Robson E. De Grande is an Associate Professor in the Department of Computer Science at Brock University, Canada. He holds a PhD from the University of Ottawa (2012) and BSc/MSc degrees from the Federal University of São Carlos, Brazil. His research focuses on vehicular networks, intelligent transportation systems, distributed systems, and cloud computing. He serves on program committees for conferences like DS-RT, MobiWac, and MSWiM, and has organized multiple workshops and special sessions. Education: PhD in Computer Science, University of Ottawa, Canada (2012) MSc and BSc in Computer Science, Federal University of São Carlos, Brazil (2006, 2004) Research Interests: Vehicular Networks (5G, Handover Management) Edge Computing and IoT Performance Modeling/Simulation High-Performance Distributed Systems Intelligent Transportation Systems Publications: Over 100 peer-reviewed articles across journals like IEEE Transactions on ITS, Elsevier Internet of Things, and conferences like IEEE ICC and ACM MobiWac. Recent work emphasizes ML-driven vehicular network optimization and distributed simulation frameworks. Teaching: Teaches Advanced Computer Networks (COSC 4P14), Parallel Computing (COSC 3P93), and graduate-level Mobile Cloud Computing courses. Research Team: Supervises PhD/MSc students and undergraduate researchers in topics like vehicular edge computing, traffic prediction, and simulation systems.

• Number theory
• Ergodic theory
• Combinatorics
• +۳ مورد دیگر

Tamar Ziegler is a Professor of Mathematics at the Einstein Institute of Mathematics, Hebrew University, holding the Henry and Manya Noskwith Chair in Mathematics since 2018. She currently serves as Chair of the Einstein Institute (2020-present) and has held visiting positions at prestigious institutions including IAS Princeton (2022-2023 Distinguished Visiting Professor), MSRI (2017 Simons Professor), and Stanford University (2012-2013). Her academic journey began with a B.Sc. summa cum laude (1995), M.Sc. (1998), and Ph.D. (2003) in mathematics from Hebrew University under advisor Hillel Furstenberg. Her career progression shows steady advancement from Zassenhaus Assistant Professor at Ohio State University (2002-2005), through positions at Technion (rising from Senior Lecturer to Professor), to her current role at Hebrew University since 2013. Ziegler's research spans number theory, ergodic theory, and combinatorics, with particular focus on additive combinatorics, higher order Fourier analysis, and connections between dynamical systems and number theory. Her work frequently involves collaborations with leading mathematicians including Terence Tao, Ben Green, and David Kazhdan. Analysis of her publication record reveals consistent contributions to fundamental mathematical problems, particularly in establishing polynomial patterns in primes, inverse conjectures for Gowers norms, and connections between ergodic theory and combinatorial number theory. Her research demonstrates a progression from foundational work on characteristic factors to increasingly sophisticated applications in prime number theory. 2025-2030 ERC Advanced grant 2024 Rothschild Prize in Mathematics 2024 9th European Congress in Mathematics, Plenary Speaker 2023 AIM Alexanderson Award 2021 Elected to Academia Europaea 2016 Rector's Prize for Excellence in Research and Teaching 2016-2021 ERC Consolidator grant 2015 Michael Bruno Memorial Award Ziegler has received continuous research funding through prestigious grants including multiple ERC awards and fellowships. Her leadership role as Chair of the Einstein Institute demonstrates significant institutional responsibility. While specific advising information isn't provided in the sources, her Erdős number is 2 (via Hillel Furstenberg) and she has collaborated with many prominent mathematicians throughout her career. As Chair of the Einstein Institute of Mathematics, Ziegler leads one of Israel's premier mathematical research centers, overseeing research programs and academic activities that connect ergodic theory, number theory, and combinatorics with other mathematical disciplines.

• Databases
• Data Management
• Provenance Analysis
• +۶ مورد دیگر

Val Tannen is a Professor at the University of Pennsylvania, specializing in database systems, provenance analysis, and programming languages. His research focuses on data management, query languages, and systems like DBSP and ORCHESTRA. Collaborations include work with co-authors such as Zachary Ives, Susan Davidson, and Todd Green. Key research interests include provenance for databases, incremental view maintenance, and data integration. His work bridges theoretical foundations and practical applications in systems like DBSP for stream processing and ORCHESTRA for collaborative data sharing. Publications span provenance frameworks, query optimization, and distributed systems. While no awards are explicitly listed, his contributions to database theory and systems are widely recognized.

• Electronic Structure Theory
• Machine Learning in Materials Science
• Data Driven Materials Science
• +۶ مورد دیگر

Professor Patrick Rinke leads the Chair of AI-based Materials Science at the Technical University of Munich (TUM), within the TUM School of Natural Sciences and Department of Physics. His research group develops advanced electronic structure and machine learning methods to address critical challenges in materials science, surface science, physics, chemistry, and nanoscience. Professor Rinke's research spans multiple cutting-edge domains including electronic structure theory development, machine learning applications for materials science, data-driven materials discovery, biomaterials engineering, atmospheric science applications, clean energy materials, and hybrid materials systems. His work integrates advanced computational methods with practical applications across diverse scientific fields, particularly focusing on how artificial intelligence can transform traditional materials research. Analyzing his recent publications reveals strong trends in applying machine learning techniques to materials discovery, with particular emphasis on Bayesian optimization methods, active learning approaches for molecular data, and efficient dataset generation strategies. His research spans from fundamental electronic structure theory to practical applications in biomaterials, atmospheric science, and renewable energy technologies. Professor Rinke has received several prestigious awards including the August-Wilhelm Scheer visiting professorship (2017), a German Science Foundation research scholarship (2007), the Outstanding Postdoctoral Research Achievement Award from UC Santa Barbara (2009), recognition as an Outstanding Referee for Physical Review journals (2014), and the Institute of Physics Computational Physics Group Thesis Prize (2003). Professor Rinke actively contributes to the academic community through teaching and supervision. For the Winter term 2025/26, he is teaching courses including Academic Writing Skills, Introduction to Machine Learning for Materials Science, Current Topics in AI-Based Materials Science, and Machine Learning for Natural Sciences. His research group includes several team members working on diverse projects spanning the intersection of AI and materials science.

Elizabeth M.Y. Leeمشاهده پروفایل

استادیار

• Materials Science
• Quantum Technologies
• Energy Sustainability
• +۳ مورد دیگر

Elizabeth (Liza) Lee is an Assistant Professor at the Samueli School of Engineering , University of California, Irvine (UCI), with joint appointments in Materials Science and Engineering and Chemical and Biomolecular Engineering . Her research program focuses on theory and computational modeling of materials formation, breakdown, and transport to design sustainable solutions for quantum and energy technologies. Ph.D. , MIT, Chemical Engineering M.S. , MIT, Chemical Engineering Practice B.S./B.A. , Johns Hopkins University, Chemical and Biomolecular Engineering and Chemistry Lee’s research bridges ab initio calculations , machine learning , and molecular simulations to study functional materials. Key areas include catalytic plastic waste deconstruction , quantum defects in semiconductors , and computational method development using statistical mechanics and machine learning. Her work has implications for sustainable synthesis , quantum information science , and energy technologies . Her recent publications (2025–2024) span nanostructure modeling , electrocatalysis , machine learning in materials science , and solid-state electrolytes , reflecting her interdisciplinary approach. Notable awards include the NSF CAREER Award , UCI Samueli Faculty Development Chair , and DOE ASCR Leadership Computing Challenge Award . NSF CAREER Award UCI Samueli Faculty Development Chair DOE ASCR Leadership Computing Challenge Award NSF Graduate Research Fellowship AIChE Electronics and Photonics Materials Award UCI Engineering Student Council’s Professor of the Year Award Maria Lastra Postdoctoral Mentor Award

• Digital Economy
• Social Welfare
• Consumer Behavior
• +۶ مورد دیگر

Dr. Shaobo (Kevin) Li is a Tenured Associate Professor at the School of Business, Southern University of Science and Technology (SUSTech), with secondary appointment in the Department of Information Systems & Management Engineering. He holds a PhD in Business Administration from Nanyang Technological University (2019), Master of Business Administration (University of Virginia, 2014), Master of Finance (West Virginia University, 2012), and Bachelor of Business Administration (Lanzhou University, 2011). National High-Level Youth Talent Program awardee Overseas High-Caliber Personnel in Shenzhen City Recipient of 2018 China Scholarship Council’s Excellent Self-Funded Student Scholarship His research focuses on the intersection of digital economy, social welfare, and technology-driven marketing, employing experimental methods, empirical models, and neuroscience. He serves as Associate Editor for the Journal of Business Research and has published in top UTD-24 journals including Journal of Consumer Research, Information Systems Research, and Production and Operations Management. His work examines platform economics, brand management during crises, and consumer behavior related to AI, sustainability, and health decisions. He has led 10+ research projects (National Natural Science Foundation, Ministry of Science and Technology 2030 Program) and received multiple research awards, including Academy of Marketing Science Best Doctoral Dissertation Proposal Award (2019) and Best Paper Awards at China Marketing Science (2020,2024), China Marketing International Conference (2023), and CMAU Annual Conference (2023,2024). Teaching accolades include SUSTech’s Premier Teaching Award, Top 10 Most Popular Professor among undergraduates, and Nanyang Business School’s Best Graduate Teaching Award (2017). Teaches Financial Marketing (undergraduate) Teaches Frontiers of Management & Research Methods (PhD) Actively recruiting research assistants, postdocs, and joint PhD candidates with Hong Kong Polytechnic University

Dat Baoمشاهده پروفایل

مدرس ارشد

• Silence studies
• Creative pedagogy
• Curriculum development
• +۳ مورد دیگر

Dat Bao is a Senior Lecturer at Monash University's School of Education Culture & Society. Previously, he held positions at Leeds Beckett University (UK), Cornell University (USA), National University of Singapore, and Assumption University of Thailand. His internationally recognized research spans Australia, China, Japan, Philippines, Thailand, Vietnam, and the UK, with nearly 80 publications and numerous plenary conference presentations across four continents. Bao's research centers on silence studies, creative pedagogy in language education, curriculum development, intercultural education, creative thinking, and work-related learning. He investigates silence as a strategic resource in language classrooms and develops innovative approaches to enhance teaching through poetry and creative frameworks. His work bridges theoretical insights with practical classroom applications, particularly in cross-cultural contexts. His 2025 publications reveal three key trajectories:深化研究 on silence as autonomy and relationship-building in teacher-student dynamics, emerging work applying AI (multimodal deep learning) to specialized language domains like legal English, and continued exploration of ecojustice in language teaching. This demonstrates both continuity in his core silence studies and innovative expansion into technological and ecological dimensions of language education. His accolades include: Dean's Award for Excellence in Teaching (2018), Monash University Dat Bao has led multiple externally funded projects, primarily consultancy programs for TESOL teachers from China's Zhejiang Province (2018-2019) and research on Vietnamese graduates' brain circulation. These collaborative initiatives involved Monash colleagues and addressed practical teacher development needs while generating empirical insights into international education flows.