جستجوی استاد راهنمای دانشگاهی

• Data Warehousing
• OLAP
• Data Mining
• +۵ مورد دیگر

Ioannis Kotidis is an Associate Professor in the Department of Informatics at the Athens University of Economics and Business (AUEB), School of Information Sciences and Technology. He holds a Diploma in Electrical and Mechanical Engineering from the National Technical University of Athens (1995), and Master's and Ph.D. degrees from the University of Maryland (1997, 2000). Prior to joining AUEB, he worked as a Senior Technical Specialist at AT&T Labs-Research in Florham Park, New Jersey until January 2006. His research spans multiple areas of database systems with particular focus on On-Line Analytical Processing (OLAP) and data warehousing, data mining, sensor/P2P networks, mobile data management, data fusion & dissemination, data streams, RFID data management, approximate query answering, and database preservation . His work bridges theoretical foundations with practical implementations, as evidenced by numerous publications in top-tier database conferences and journals. Professor Kotidis leads several significant research projects including RECOST (REal time management of COmplex STreams), DBSENSE (Information Management in Wireless Sensor Networks), INFORE (Interactive Extreme-Scale Analytics and Forecasting), and DeLorean (Storage, Indexing and Analysis Techniques for Time-Series Management). His recent work focuses on blockchain applications for decentralized OLAP processing, complex event processing frameworks, and advanced techniques for managing complex data streams. Among his notable achievements is the best paper award at the ACM SIGMOD International Conference on Management of Data for his work on DynaMat: A Dynamic View Management System for Data Warehouses. His publications consistently address challenging problems in database systems with innovative approaches that have influenced both academic research and practical implementations. He has supervised numerous undergraduate theses on topics including blockchain-based OLAP view management, complex event processing using FlinkCEP, and graph similarity learning. His research has attracted significant funding through various research programs at AUEB, including Basic Research Funding Programs 1 & 2.

Giridhar Reddy Bojjaمشاهده پروفایل

استادیار

• Business Analytics
• Machine Learning
• Deep Learning
• +۷ مورد دیگر

Giridhar Reddy Bojja is an Assistant Professor of Information Systems & Analytics at the College of Business, Michigan Technological University. His academic office is located in Academic Office Building G018. He holds a strong focus on interdisciplinary research and teaching in data-driven fields. Research Interests: Information Systems Capabilities and Firm Performance Social Media Analytics and Healthcare Applications Econometric Modeling in Technology Impact Design Science Research Methodologies Teaching Specializations: Business Analytics (ML, DL, Text Mining) Generative AI and Its Applications Management Science and Social Network Analysis Research Themes: His work spans AI-driven IoT security frameworks, healthcare data analytics, blockchain-enabled healthcare systems, and organizational impact of IT investments. Recent projects include predictive models for patient outcomes and frameworks for resilient IoT networks. Professional Background: His research has been published in top-tier journals and conferences, with a focus on healthcare IT, cybersecurity, and AI applications. He actively contributes to both theoretical and applied research in information systems.

Jaeung Simمشاهده پروفایل

استادیار

• Information Systems
• Digital Marketing
• Online Platforms
• +۴ مورد دیگر

Jaeung Sim is an Assistant Professor at the University of Connecticut's School of Business, Department of Operations and Information Management. His research focuses on understanding consumer interactions with information technology, digital platforms, and energy systems, with emphasis on sustainable operations and policy implications. He holds a Ph.D. in Management Engineering from KAIST and a B.S. in Industrial & Management Engineering (Summa Cum Laude) from POSTECH. Prior to academia, he served in the Republic of Korea Army as a sergeant and published data analytics work on music streaming trends. Research interests include: Online platform governance and consumer behavior Digital marketing strategies Energy economics and policy analysis Econometric field experiments Data-driven decision-making in operations Recent work explores topics like AI ethics in knowledge sharing, autocomplete impact on search behavior, smart metering effectiveness, and racial disparities in energy burdens. His music analytics research examines pandemic effects on streaming consumption and live-streaming economies. Teaching includes courses on data mining/business intelligence (OPIM 5671) and Python-based data science (OPIM 5512). Active in UConn's Stamford campus, he contributes to initiatives like decentralized AI education programs.

Jude Onwudiliمشاهده پروفایل

دانشیار

• Hydrothermal Processing
• Biomass Conversion
• CO2 Utilization
• +۳ مورد دیگر

Jude Onwudili is a Reader in Chemical Engineering at Aston University's College of Engineering and Physical Sciences. As an FRSC and Senior Fellow of HEA, he leads research in sustainable energy and circular economy approaches focusing on hydrothermal processing of biomass, catalytic valorization of waste streams, and CO2 utilization technologies. His educational background includes a PhD from the University of Leeds and BSc from the University of Ibadan. Onwudili teaches Chemical Process Design, Renewable Energy Technologies, and Advanced Process Design while supervising research students. Research explores thermochemical conversion pathways including gasification, pyrolysis and liquefaction of biomass, plastics and organic wastes. Current projects investigate catalytic routes to sustainable aviation fuels, biopropane production, and novel CO2 fixation methods through suspension-based carboxylation reactions. Publication analysis reveals strong emphasis on catalytic process optimization, reaction kinetics, and analytical method development for biofuel characterization. Recent work advances sustainable fuel production through innovative reactor designs and catalyst systems. Fellow, Royal Society of Chemistry Senior Fellow, Higher Education Academy Research leadership includes principal investigator roles on multiple UKRI, EU and industry projects including bio-LPG production, renewable energy from aqueous residues, and low-carbon fuels for glass manufacturing. He coordinates the sustainable fuels research team at Energy & Bioproducts Research Institute (EBRI). Laboratory facilities include advanced reactors for supercritical water processing and analytical capabilities for biofuel characterization. Professional activities include editorial roles for ACS Sustainable Chemistry & Engineering and RSC Sustainable Energy & Fuels journals.

Kelly Hewettمشاهده پروفایل

دانشیار

• Marketing Strategy
• Brand Management
• Marketing Research
• +۳ مورد دیگر

Kelly Hewett is an Associate Professor of Marketing at the Haslam College of Business, University of Tennessee. She holds a Ph.D. in Marketing and International Business from the University of South Carolina. Prior to academia, she served as a Senior Vice President at Bank of America, leading corporate marketing strategies. Her expertise spans Brand Management, Marketing Research, and Product Design & Development. Education: 1998 Ph.D., Marketing and International Business, University of South Carolina 1990 M.B.A., University of South Florida 1986 B.S. & B.A., College of Charleston Research Interests: Focuses on marketing strategy, global market expansion, and leveraging emerging technologies like AI and metaverse for consumer insights. Her work bridges academic rigor with practical applications in digital ecosystems and cross-cultural marketing. Recent research explores video game data utilization and marketing in the metaverse. Articles Trends: Her publications emphasize AI-driven consumer research, digital marketing ecosystems, and strategic frameworks for global markets. Key themes include predictive analytics, metaverse retailing, and institutional reforms in emerging markets. Awards: Recognized for research and teaching excellence, though specific award names are not disclosed. Teaching & Advising: Teaches Marketing Insights in the MBA program and courses on strategic planning. Advises students across full-time, executive, and professional MBA tracks.

Stephanie Bolyardمشاهده پروفایل

استاد

• Solid Waste Management
• Landfill Treatment
• Environmental Engineering
• +۵ مورد دیگر

Stephanie Bolyard, Ph.D., is a Courtesy Professor at the Florida A&M University-Florida State University College of Engineering's Civil & Environmental Engineering department, and serves as a Research Engineer for the North Carolina Department of Transportation. She holds a Ph.D. in Environmental Engineering (University of Central Florida, 2016), an M.S. in Environmental Engineering (2012), and a B.S. in Chemistry (University of Florida, 2008). Her research focuses on solid waste management, landfill treatment technologies, advanced spectroscopic techniques, and the fate of dissolved organic matter in aquatic systems. Key areas include biological/advanced oxidation processes and PFAS contamination pathways in waste streams. Recent work highlights landfill ecological footprint analysis, pandemic impacts on waste systems, and PFAS dynamics in post-consumer products. Over 15 recent publications emphasize landfill leachate treatment innovations, PFAS mitigation strategies, and sustainable waste-to-energy systems. No scientific awards are listed. Her advising and grant activities are not detailed in available records. She is affiliated with both academic and government institutions, contributing to interdisciplinary waste management research.

Balakrishnan Prabhakaranمشاهده پروفایل

استاد

• Multimedia Systems
• Video and Healthcare Data Analytics
• 3D Video Streaming
• +۵ مورد دیگر

Dr. Balakrishnan Prabhakaran is a Professor of Computer Science at the Erik Jonsson School of Engineering and Computer Science, University of Texas at Dallas. He specializes in multimedia systems, focusing on areas like video and healthcare data analytics, 3D video streaming, wireless network QoS, and collaborative virtual environments. His work integrates technical innovation with healthcare applications, including telemedicine and rehabilitation systems. Education: PhD (Computer Science & Engineering) from Indian Institute of Technology, Chennai (1995); MSc (CSE) from IIT Chennai (1990); BEng (Electronics & Communication) from Madurai-Kamaraj University (1986). Research Interests: Current projects include intelligent medical imaging platforms (e.g., IntelliCardiac), mixed reality systems for pain management (MR.MAPP), and robotic grasp synthesis. Past work involved multimedia databases, web-based presentation servers, and QoS in ad-hoc networks. Notable Achievements: Recipient of NSF CAREER Award (2003), 2007 School of Engineering Service Award, and recognition as an ACM Distinguished Scientist. He chairs the PhD Studies program at UT Dallas and has led numerous academic initiatives including graduate admissions committees. Teaching: Courses span multimedia systems, advanced operating systems, and animation programming. He has taught at institutions including National University of Singapore and University of Maryland. Labs/Teams: Active in developing immersive healthcare technologies through projects like H-TIME (haptic tele-examination) and VirTePeX (virtual tele-physical exam systems). Collaborates on cloud-based body sensor networks (BSNCloud) and mixed reality frameworks (ScanToVR).

Alexandros Labrinidisمشاهده پروفایل

استاد

• Big Data
• Data Management
• Scientific Data Management
• +۴ مورد دیگر

Dr. Alexandros Labrinidis is a Professor at the University of Pittsburgh's Department of Computer Science and co-director of the Advanced Data Management Technologies Laboratory (ADMT Lab). He holds an adjunct professorship at Carnegie Mellon University. His research focuses on user-centric data management, scalable systems, and data-intensive computing with over 70 peer-reviewed publications. He has led NSF-funded projects like PittSmartLiving and contributed to big data challenges through initiatives like the TDI Framework. Education: Ph.D. in Computer Science (University of Maryland, 2002), BSc/MSc from University of Crete Research interests include big data, scientific data management, and quality of service optimization. Notable awards include the NSF CAREER Award (2008) and IEEE Distinguished Contributor (2022). Awards: NSF CAREER (2008), IEEE CS Distinguished Contributor (2022) Advising and grants highlight his leadership in data management systems, including roles as PI on NSF projects and editorial board memberships at VLDB and P&DDB journals. The ADMT Lab focuses on urban informatics and smart city technologies, with recent work on public transit systems and resource allocation during crises. Labs/Teams: Co-director of ADMT Lab at Pitt, collaborating on projects like PittSmartLiving to optimize transportation behavior through data-driven insights.

Rainer M.W. Amonمشاهده پروفایل

استاد

• Biogeochemistry
• Climate Change
• Marine Sciences
• +۳ مورد دیگر

Rainer M.W. Amon is a Professor at the Department of Marine and Coastal Environmental Science, Texas A&M University at Galveston. His research focuses on environmental biogeochemistry, particularly dissolved organic matter (DOM) in Arctic and Gulf of Mexico systems, and its role in climate change. He holds a Ph.D. in Limnology/Ecology (University of Vienna, 1996) and a Ph.D. in Marine Sciences (University of Texas at Austin, 1995). He has been affiliated with institutions like the Alfred Wegener Institute and collaborates internationally on Arctic and Siberian watershed studies. Key research areas include DOM sources and transformations in Arctic rivers, Gulf of Mexico carbon cycling, and Yenisei River carbon fluxes. His work integrates field expeditions, glider-based observations, and analytical chemistry. Awards include the Theodor-Körner-Preis (1990) and multiple fellowships. He advises Ph.D. students and has led grants totaling over $1.9 million from NSF, Russian Science Foundation, and others. His lab explores interdisciplinary approaches to address climate change impacts on marine systems. Teaching includes courses in Chemical Oceanography and Biological Oceanography. He is also part of the Texas Center for Climate Studies and holds joint appointments in Oceanography and Marine Biology.

Don Warsingمشاهده پروفایل

دانشیار

• Operations Management
• Supply Chain Engineering
• Inventory Control
• +۲ مورد دیگر

Dr. Donald Warsing is an Associate Professor of Operations and Supply Chain Management in the Department of Business Management at North Carolina State University's Poole College of Management. He holds a Ph.D. in Operations Management from UNC Chapel Hill, an M.S. in Management from NC State, and a B.S. in Industrial Engineering from Ohio State University. His research focuses on developing analytical tools for managing inventory, logistics, and business operations, with expertise in production/inventory management, additive manufacturing, and logistics/distribution. Dr. Warsing bridges academic research and industry practice through his work with the Supply Chain Resource Cooperative (SCRC), where he advises student teams solving real-world supply chain challenges. Prior to academia, he held engineering and management roles at IBM Corporation. His research has been published in leading journals including Production and Operations Management, Journal of Operations Management, and Decision Sciences. He co-authored the graduate textbook Supply Chain Engineering: Models and Applications .

Greg Copeمشاهده پروفایل

استاد مدعو

• Freshwater Ecology
• Environmental Toxicology
• Aquatic Biodiversity
• +۳ مورد دیگر

Greg Cope is the William Neal Reynolds Distinguished Professor and Adjunct Faculty in the Department of Biological Sciences at North Carolina State University (NCSU). His research focuses on freshwater mussel conservation, environmental toxicology, and aquatic ecosystem health. Cope leads studies on thermal tolerance, contaminant impacts, and biodiversity preservation in rivers, particularly addressing threats from climate change and pollution. He is affiliated with the David Clark Labs and has contributed to policy-relevant ecological assessments. Research interests include freshwater mussel physiology, aquatic pollution effects, and conservation strategies for endangered species like the Carolina Madtom and blue marlin. His work integrates field studies with lab-based toxicity testing, emphasizing standardized protocols for assessing pollutants in water systems. Key scientific award: William Neal Reynolds Distinguished Professor Labs: David Clark Labs, NCSU Contributions to pesticide safety education via interactive tools and audience response systems Publications highlight interdisciplinary approaches to understanding species decline mechanisms, pollution dynamics, and climate adaptation in aquatic ecosystems.

Larry Millerمشاهده پروفایل

استاد بالینی

• Music Business
• Music Technology
• Entrepreneurship
• +۳ مورد دیگر

Larry Miller is a Clinical Professor and Executive Director of the Sony Audio Institute for Music Business and Technology at New York University's Steinhardt School. He also directs the Music Business Program and serves as an adjunct faculty member. With an MBA from Columbia Business School, his expertise spans music entrepreneurship, analytics, valuation, and strategic marketing. He advises music creators, rights holders, and tech firms on policy, litigation, and growth strategies. Professor Miller has held leadership roles at L.E.K. Consulting and MediaNet, and founded Or Music, a Grammy-winning record label. He contributes to media through his Musonomics podcast and voice-over work, including a Clio-winning performance. His research focuses on music industry transformation, streaming economics, and metadata foundations. Key achievements include the 2024-25 Music Business Association Educator of the Year award and expert testimony before the Copyright Royalty Board. His work bridges academia, industry, and innovation, addressing global challenges in music business and technology.

• Management Science
• Operations Research
• Optimization Algorithms
• +۱۲ مورد دیگر

Professor Celia A. Glass is a Professor of Management Science at Bayes Business School, City St George's, University of London. She is affiliated with the Faculty of Actuarial Science and Insurance and has been a key figure in advancing research in operational research and optimization since joining the institution in 1999. She holds a PhD and BSc from King’s College London and has held visiting positions at Queen Mary University of London and Scottish and Southern Energy. PhD, King’s College London BSc, King’s College London Her research focuses on Operations Research, Management Science, and Optimization, with applications in healthcare, telecommunications, and manufacturing. Key areas include staff rostering, call centre analytics, frequency assignment, and combinatorial scheduling. She has led EPSRC-funded projects and industrial collaborations with OfCom, the NHS, and food safety laboratories. Her recent publications reflect a strong trend in periodic scheduling for wireless networks, staff rostering optimization, and combinatorial algorithms for graph and matrix problems. She has made significant contributions to both theoretical and applied optimization. Fellow, Operational Research Society Fellow, London Mathematical Society Fellow, Institute of Mathematics and its Applications Member, EPSRC College She has supervised multiple PhD students and has served as a referee for leading journals such as European Journal of Operational Research and Operations Research . Her industrial consultancy includes Whittington Hospital, OfCom, and the Registered Nursing Homes Association. She has co-organized workshops and served on accreditation panels, demonstrating leadership in the academic and professional community. Her research has been supported by EPSRC grants and industrial partnerships, focusing on real-world applications of optimization in healthcare and telecommunications. She leads the Nightglass Medical Rostering Ltd spin-out company, providing NHS rostering solutions.

Despoina Farmakiمشاهده پروفایل

مدرس

• Intellectual Property Law
• Technology Law
• Internet Law
• +۶ مورد دیگر

Dr Despoina Farmaki is a Lecturer in Law at City St George's, University of London, where she joined in January 2025. She previously served as a Lecturer at Brunel University London (2020–2024) and as a Visiting Lecturer at the University of Greenwich School of Law (2022). She is also the Chief Academic Officer at Esports Legal News and a Fellow of the Higher Education Academy. Her educational background includes: PhD in Law, Brunel University London LLM in International Commercial Law, Brunel University London LLB, Democritus University of Thrace, Greece Dr Farmaki's research centers on the intersection of Intellectual Property and Technology Law, particularly in the video game and esports industries. Her expertise spans Internet Law, Contract Law, AI regulation, and digital rights, with a strong emphasis on consumer protection, data privacy, and virtual asset governance. Her recent publications demonstrate a consistent focus on legal challenges in digital environments, especially around loot boxes, AI-generated content, smart contracts, data privacy (GDPR), and the regulation of esports and virtual influencers. These works reflect a deep engagement with evolving technological landscapes and their legal implications. She has been recognized with the following honor: Fellow of the Higher Education Academy (HEA) Dr Farmaki has advised on legal and academic strategy at Esports Legal News and has held research and academic roles at Brunel University London. While no specific grants are listed, her sustained publication record in specialized law journals indicates active research funding or institutional support. She is also a qualified practicing lawyer in Greece, contributing practical legal insight to her academic work. She is involved in academic and legal discourse through her role at Esports Legal News and her contributions to journals such as the Journal of Intellectual Property Law and Practice , Interactive Entertainment Law Review , and Journal of AI Law and Regulation .

• Mathematical Optimization
• Statistical Modeling
• Machine Learning
• +۱۳ مورد دیگر

Vanesa Guerrero Lozano is an Associate Professor in the Department of Statistics at Universidad Carlos III de Madrid, affiliated with the Flores de Lemus Institute and the UC3M-Santander Big Data Institute. Her work bridges mathematical optimization, statistical modeling, and data science, with applications across disciplines including biomedicine, fluid mechanics, and sustainable development. Her research focuses on developing advanced statistical methodologies using mathematical optimization. Key interests include shape-constrained regression, P-splines smoothing, sparse modeling, clustering of categorical data, and interpretable machine learning. She applies these techniques to complex datasets in turbulence modeling, biological age imputation, and pandemic forecasting. The recent publications reveal a strong trend in integrating optimization techniques with statistical learning, particularly in nonparametric and semiparametric models. There is a consistent emphasis on interpretability, robustness, and scalability, especially for high-dimensional and dynamic datasets. Applications span from fluid dynamics to public health, demonstrating interdisciplinary impact. Scientific Awards and Recognition: Ayuda adicional within the Juan de la Cierva Incorporación Program (2020), awarded by the State Research Agency (AEI) Research Leadership and Advising: She has served as principal investigator on multiple competitive research projects funded by national and regional agencies, including the State Research Agency (AEI), the Jacques Hadamard Mathematical Foundation, and the Community of Madrid. Her projects cover topics such as constrained additive models, machine learning for sustainable fishing, turbulence control, and ADHD diagnosis using data science. She has supervised at least one doctoral thesis on constrained smoothing models, indicating active mentorship in methodological statistics and optimization. Laboratories and Research Groups: She is a member of the Energy Analytics research group and conducts her work within the UC3M-Santander Big Data Institute, which supports interdisciplinary data science research. Her affiliation with the Flores de Lemus Institute further underscores her engagement with advanced statistical and computational methodologies.