جست‌وجوی استاد و پژوهشگر

Chenghui Liمشاهده پروفایل

دانشیار

• Cancer Prevention
• Treatment Outcomes
• Healthcare Database Research
• +۶ مورد دیگر

Dr. Chenghui Li is an Associate Professor at the University of Arkansas for Medical Sciences (UAMS), College of Pharmacy, Department of Pharmacy Practice. She specializes in applied health econometrics and economic evaluation of pharmaceutical products, leveraging her expertise in secondary database analysis for health policy research. Education: Bachelor of Science (BS), Saint Vincent College, Latrobe, PA Doctor of Philosophy (PhD), Indiana University, Bloomington, IN Dr. Li’s research focuses on cancer prevention, treatment outcomes, and quality of care; healthcare database research; applied econometrics; economic evaluation of pharmaceuticals; tobacco cessation; and mental health/substance abuse. Her work utilizes large datasets like All-Payer Claims Database, SEER-Medicare, and cancer registries to address health disparities and policy impacts. Her publications span topics such as opioid misuse prevention, cancer survivorship disparities, healthcare utilization in Medicaid vs. commercial insurance, and cost-effectiveness of pharmaceutical interventions. She has received recognition including the UAMS Medical Research Endowment Award (2008) and a Biomedical Informatics MBL/NLM Course Fellowship (2009). Scientific Awards: 2006 Post-doctoral Fellow, Rutgers University 2008 UAMS Medical Research Endowment Award Spring 2009 Biomedical Informatics MBL/NLM Course Fellow

Abdussalam Alawiniمشاهده پروفایل

عضو هیئت علمی

• Database Systems
• Applied Machine Learning
• Computer Science Education
• +۳ مورد دیگر

Abdussalam Alawini is a Teaching Associate Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign . He holds a Ph.D. in Computer Science from Portland State University (2016) and has held academic positions including a postdoctoral fellowship at the University of Pennsylvania (2016–2018) and roles as a Teaching Assistant Professor (2018–2023) and Adjunct Faculty (2016). Education : Bachelor's in Computer Science (2002), University of Tripoli MSc. Computer Science and MSc. Engineering & Technology Management (2011), Portland State University Ph.D. Computer Science (2016), Portland State University Research Interests focus on databases, applied machine learning, and education. Key areas include: Improving classroom experiences via machine learning Next-generation data management systems (data provenance, citation) Developing tools like TriQL for database learning Awards include the 2024 Campus Award for Excellence in Undergraduate Teaching and the 2022 A3E Education Innovation Fellowship. His work has been recognized for contributions to database education and student success. Service & Leadership : Chair of Instructional Faculty Recruiting Committee (2023–2024) Co-Chair of SIGMOD 2020 and DataEd 2025 Member of committees on Broadening Participation in Computing and Online Education Teaching includes courses like Database Systems and Data Management in the Cloud, emphasizing practical learning through tools like MongoDB Atlas.

Kuldeep S. Meelمشاهده پروفایل

دانشیار

• Automated Reasoning
• Formal Methods
• Artificial Intelligence
• +۳ مورد دیگر

Kuldeep S. Meel is the Stephen Fleming Early-Career Associate Professor at Georgia Institute of Technology's School of Computer Science and an Associate Professor at the University of Toronto (currently on leave). His research focuses on the intersection of Formal Methods and Artificial Intelligence, emphasizing scalable automated reasoning techniques. He holds prestigious awards including the 2022 ACP Early Career Researcher Award and the 2019 NRF Fellowship for AI. His work has been recognized with multiple best paper awards at conferences like ICLP, CAV, and IJCAI. Meel's research spans automated reasoning, formal methods, and their applications in AI. He has developed influential tools like ApproxMC and UniGen, advancing model counting and uniform sampling. His academic journey includes roles at NUS and collaborations with institutions globally. Teaching excellence is highlighted by NUS Annual Teaching Awards (2022, 2023). Awards include Distinguished Paper Awards at CAV-23 and CAV-24, and 1st place in Model Counting Competitions. His lab has produced notable advisees securing tenure-track positions worldwide. Current projects explore distribution testing, probabilistic reasoning, and AI verification.

Kristopher McNeillمشاهده پروفایل

استاد

• Environmental Chemistry
• Photochemistry
• Catalysis
• +۲ مورد دیگر

Prof. Kristopher McNeill is a Full Professor at ETH Zurich's Department of Environmental Systems Science, where he heads the Institute of Biogeochemistry and Pollutant Dynamics. Born in 1970 in Tucson, Arizona, he earned his BA in Chemistry from Reed College (1992) and PhD from UC Berkeley (1997), followed by postdoctoral work at MIT. His academic career includes positions as Assistant and Associate Professor at the University of Minnesota and Visiting Professorship at Stanford. McNeill's research focuses on environmentally relevant chemical reactions, particularly catalytic and photocatalytic transformations in aquatic systems. Key areas include environmental fate of emerging contaminants, photochemistry in surface waters, and metal-mediated dehalogenation reactions. His group emphasizes mechanistic studies using modern spectroscopic techniques like NMR and time-resolved laser spectroscopy to understand degradation pathways of contaminants. His publication trends show consistent focus on photochemical processes in environmental systems, with recent work expanding into polymer degradation, DNA photochemistry, and atmospheric chemistry. The research demonstrates increasing interdisciplinary integration of analytical chemistry, materials science, and environmental modeling. McNeill teaches multiple courses including: Introduction to Environmental Organic Chemistry Organic Chemistry Term Paper seminars Human Health, Nutrition and Environment

Bettina Kemmeمشاهده پروفایل

استاد

• Distributed Systems
• Cloud Computing
• Database Systems
• +۵ مورد دیگر

Bettina Kemme is a Professor in the School of Computer Science at McGill University, Montreal, Canada. She leads the Distributed Information Systems Lab (DISL) and specializes in large-scale data management, distributed systems, and cloud computing. Her academic roles include teaching COMP 512 (Distributed Systems) and COMP 421 (Database Systems). Education: Diplom (M.Sc. equivalent) in Computer Science, Friedrich-Alexander University, Erlangen, Germany (1996) PhD in Computer Science, Swiss Federal Institute of Technology (ETH), Zurich, Switzerland (2000) Research Interests: Distributed systems, cloud-native data management, in-database analytics (AIDA project), monitoring-as-a-service frameworks, and scalable pub/sub systems for online games. Current projects focus on integrating machine learning with databases, cloud performance monitoring using SDN, and sustainable data systems for data science. Lab & Collaborations: Leads the Distributed Information Systems Lab (DISL) with active projects in distributed databases, cloud computing, and game systems. Collaborates on EU-Canada initiatives like the SustainSys program for sustainable data infrastructure. Advising: Supervises PhD and M.Sc. students in topics like monitoring frameworks (Mona ElSaadawy), in-database ML (Winnie He), and distributed systems (Maximilian Schiedermeier). Alumni include over 50 researchers from PhD candidates to undergraduate researchers.

Manos Kapritsosمشاهده پروفایل

دانشیار

• Distributed Systems
• Formal Verification
• Fault-Tolerant Replication
• +۳ مورد دیگر

Manos Kapritsos is an Associate Professor in the Department of Computer Science & Engineering at the University of Michigan, Ann Arbor. His research focuses on increasing the reliability of distributed systems through formal verification, fault-tolerant replication, and automated proof techniques. He has contributed to projects such as Aegean (replication beyond client-server models), I4 (automated inductive invariant inference), and Armada (concurrent code verification). His work emphasizes practical applications of formal methods to ensure system correctness and performance. Education details are not explicitly provided in the text, but his career trajectory suggests advanced academic training in computer science. His research interests include distributed systems, formal verification of protocols, and high-performance systems. Notable awards include the NSF CAREER Award (2021), Google Faculty Award (2017), and Distinguished Paper Awards at PLDI 2020 and USENIX Security 2017. Teaching includes courses on formal verification, operating systems, and distributed systems, reflecting his expertise in systems software. He has advised students through his GLaDOS research group, though specific advisee names are not listed. Key grants include NSF FMitF and Large grants to advance verification techniques for distributed systems. Recent articles focus on automating proofs for undecidable protocols (Basilisk), efficient replication communication (Scrooge), and formal latency analysis (Performal). His work bridges theory and practice, aiming to simplify end-to-end verification of complex systems.

Francesca Spezzanoمشاهده پروفایل

دانشیار

• Social Network Analysis
• Misinformation Detection and Mitigation
• Information Diffusion
• +۵ مورد دیگر

Francesca Spezzano is an Associate Professor in the Computer Science Department at Boise State University, part of the College of Engineering. She holds a Ph.D. in Computer Science Engineering from the University of Calabria, Italy (2012), with postdoctoral research at the University of California Santa Cruz and the University of Maryland Institute for Advanced Computer Studies. Her research focuses on social network analysis, misinformation detection, information diffusion, and national security, with emphasis on applying machine learning and graph-based methods to combat online deception. Education: Ph.D. in Computer Science Engineering, University of Calabria, Italy (2012) Visiting Scholar, UC Santa Cruz Database Group (2010–2011) Postdoctoral Research Associate, University of Maryland (2013–2015) Research Interests: Misinformation detection and mitigation Social network analysis and mining Graph databases and link prediction National security applications Awards & Grants: NSF CAREER Award (2020) for studying misinformation diffusion Funding from the National Science Foundation, U.S. Army Research Office, and National Security Agency Service & Leadership: General Chair of WSDM 2026, CIKM 2024, and MISDOOM 2022 PC Co-Chair of ASONAM 2019 and FOSINT-SI 2020 Recipient of the Best Paper Award at FOSINT-SI 2018

Raman Adaikkalavanمشاهده پروفایل

استاد

• Information Security (IoT, Android)
• Data Streaming
• Computer Science Education
• +۳ مورد دیگر

Dr. Raman Adaikkalavan is a Professor in the Department of Computer and Information Sciences at Indiana University South Bend (IUSB), and serves as Associate Vice Chancellor for Enrollment Management. He holds a Ph.D. in Computer Science and Engineering from the University of Texas at Arlington (2006), and has extensive academic leadership experience. His research focuses on information security (particularly IoT and Android), data streaming, and computer science education. Notable contributions include developing the IU Test web-based assessment tool and advancing secure data stream processing architectures. Education: B.E. (1999) from Bharathidasan University, M.S. and Ph.D. (2002/2006) from University of Texas at Arlington, with additional certificates in online teaching (2013). Research emphasizes practical applications like secure stream processing in cloud environments and improving pedagogical methods through active learning. His work has been supported by NSF grants and institutional funding. Awards include the IU Trustees' Teaching Award (2011) and recognition as a University Scholar (UT Arlington). He advises students on topics like secure data stream processing and software engineering. Collaborations include projects with Dr. Indrakshi Ray (Colorado State) and Dr. Sharma Chakravarthy (UT Arlington). His IU Test system aids in program assessment and accreditation reporting for ABET.

Aftab Ahmadمشاهده پروفایل

استاد

• Machine Learning
• Cyber Security
• Public Health Prediction
• +۵ مورد دیگر

Aftab Ahmad is a Professor in the Department of Computer Science at the City University of New York (CUNY), specializing in cybersecurity and machine learning applications. He holds a Doctor of Science from George Washington University. His research focuses on developing machine learning algorithms for cyber threat intelligence (CTI) and public health prediction, along with designing secure generative deep learning models resistant to reverse-engineering. Key research areas include: Cybersecurity frameworks and privacy-preserving architectures Generative adversarial networks (GANs) with embedded security features Biomedical signal analysis and human body channel modeling Secure wireless protocols for critical infrastructure His publication trends emphasize: Privacy metrics and data protection mechanisms Smart grid and IoT security Neuroscience-inspired machine learning models Wireless network vulnerability assessments No scientific awards or grants were explicitly mentioned in the provided texts. He teaches advanced courses in computer security and network forensics at undergraduate and graduate levels. No advising relationships or lab affiliations were detailed in the available information.

Alex Gysiمشاهده پروفایل

دانشیار

• Economic Geology
• Hydrothermal Systems
• Rare Earth Elements
• +۳ مورد دیگر

Dr. Alex Gysi is an Associate Professor at New Mexico Tech with dual appointments in the Department of Earth and Environmental Science and the Bureau of Geology and Mineral Resources. He leads the Ore Deposits and Critical Minerals research group and directs experimental laboratories focused on hydrothermal systems and critical mineral formation. His research examines fluid-mineral interactions in magmatic-hydrothermal environments, particularly concerning rare earth element mobility and mineralization. His primary research investigates geochemical mechanisms controlling rare earth element transport and deposition in critical mineral deposits, using integrated field studies, laboratory experiments, and thermodynamic modeling approaches. Current NSF and DOE-funded projects focus on quantifying REE partitioning between minerals and hydrothermal fluids under varying physicochemical conditions. Recent publications demonstrate methodological advances in determining REE speciation through UV-Vis spectrophotometry, Raman spectroscopy, and solution calorimetry. His experimental work has established new protocols for high-temperature hydrothermal solubility measurements and contributed to developing the MINES thermodynamic database for simulating ore-forming processes. He maintains active collaborations with Los Alamos National Laboratory, University of Indiana, and international partners. Field research focuses on REE deposits in New Mexico's Gallinas Mountains and Cornudas Mountains. Future work will address thermodynamic properties of REE complexes in supercritical fluids and mineral exploration applications.

Kirsten Richardsمشاهده پروفایل

استادیار

• Technology Solutions in Healthcare
• Healthcare Management
• Applied Interaction Design
• +۳ مورد دیگر

Dr. Kirsten Richards is an Assistant Professor in the CISC & ISEM departments at Harrisburg University of Science and Technology. She teaches graduate courses in the ISEM program, focusing on healthcare, management, and security topics. Her professional background combines healthcare practice, nursing, and academic teaching, enriching her classroom approach with real-world applications. Education: Ph.D. in Information Systems, University of Maryland, Baltimore County (2017) Graduate Certificate in Database Technology, University of Maryland, University College (2015) M.Sc. in Information Systems, University of Maryland, Baltimore County (2012) Associate in Science (Registered Nursing), Antelope Valley College (2010) Bachelor’s in Ministry and Leadership, Life Pacific College (2009) Associate in Arts, Antelope Valley College (2005) Research Interests: Dr. Richards focuses on technology-driven solutions for healthcare and management systems, including applied interaction design for user interfaces and data mining techniques. She specializes in privacy-focused interface design for healthcare contexts. Her work bridges technology, human-centered design, and ethical data practices. Teaching Philosophy: She emphasizes student interaction as a cornerstone of education, leveraging her experience as a peer tutor and healthcare professional to create practical, engaging learning environments.

Maria Laura CARRANZAمشاهده پروفایل

استاد

• Ecology
• Remote Sensing
• Plant Invasion Dynamics
• +۵ مورد دیگر

Prof. Maria Laura CARRANZA is a Full Professor at the University of Molise, Department of Biosciences and Territory. Her work focuses on ecology, remote sensing, and environmental conservation, particularly in Mediterranean coastal ecosystems. She leads the Envix Lab, emphasizing vegetation mapping, invasive species dynamics, and climate change impacts. Her research integrates multi-source remote sensing (e.g., Sentinel, UAVs) with field data to assess biodiversity, dune ecosystems, and human-environment interactions. Key projects include monitoring plant invasions (e.g., Acacia saligna), coastal resilience, and citizen science contributions to ecological data collection. Education background and formal qualifications are not explicitly detailed in the provided text. Her research spans over 15 years, with recent emphasis on Mediterranean dunes, urban biodiversity, and global change effects on alpine grasslands. She collaborates internationally, notably in Argentina (Gran Chaco forests) and Pakistan (yak herding dynamics). Research interests include functional traits of plant communities, spectral diversity metrics, and conservation strategies for threatened ecosystems. Her work highlights the role of protected areas in mitigating litter accumulation and preserving cultural services. She has contributed to policy frameworks like Natura 2000 and the EU’s Invasive Species Directive through applied research. Publications emphasize the synergy between remote sensing and field ecology, with over 30 peer-reviewed articles since 2016. Her work on Acacia saligna invasion models and dune eco-geomorphology via UAVs has advanced management practices. She also explores educational innovations, such as online course efficacy for field subjects like bird recognition.

Ian Spoonerمشاهده پروفایل

استاد

• Environmental Change
• Paleolimnology
• Hydrogeology
• +۳ مورد دیگر

Dr. Ian Spooner is a Professor in the Department of Earth and Environmental Science at Acadia University, where he has worked for 31 years. His research focuses on environmental change, surface water-groundwater interactions, and contamination assessment across eastern Canada. Ph.D. in Geoscience (University of Calgary, 1994) M.Sc. in Geology (Queen's University, 1988) B.Sc. (Honours) in Geology (Queen's University, 1984) His scholarly work spans three decades, with recent publications highlighting mercury contamination in seabird soils, sediment dewatering techniques, and paleolimnological tools for pollution assessment. He has developed tidypaleo , an R package for visualizing environmental archives. Key research trends include industrial pollution impacts on coastal ecosystems, long-term contamination records in lake sediments, and geological responses to climate change. His work bridges field studies with computational methods for environmental data analysis. Distinguished Service Award (Atlantic Geoscience Society) 2020 Acadia Faculty Award for Excellence in Teaching 2022 Donald Stanley Award (Canadian Society for Civil Engineering) As Manager of the Morton Centre and coordinator of the M.Sc. Applied Geomatics program, he leads collaborative projects in Nova Scotia, Newfoundland, and British Columbia. Funding sources include NSERC grants and industry partnerships.

• Computer Operating Systems
• Computer Systems Analysis
• Distributed Systems
• +۵ مورد دیگر

Liuba Shrira is a Professor of Computer Science at Brandeis University, affiliated with the Michtom School of Computer Science and the Benjamin and Mae Volen National Center for Complex Systems. Her research focuses on distributed systems, storage systems, blockchain technology, concurrent programming, and system architectures. She holds a Ph.D., M.S., and B.S. from the Technion – Israel Institute of Technology. Her work emphasizes reliable and highly available systems, including innovations in snapshot management, transactional memory, and adversarial cross-chain commerce. She has been recognized with awards such as the ACM Distinguished Scientist (2009), Lady Davis Fellowship (2010-2011), and a Best Paper Award (2020). Her research has been supported by grants from the National Science Foundation and other institutions. Recent publications highlight advancements in optimistic concurrency control, blockchain interoperability, and modular past-state systems. Shrira has also contributed to middleware design and distributed computing frameworks, with applications in both academic and industry settings.

Barbara S. Lancho Barrantesمشاهده پروفایل

مدرس ارشد

• Bibliometrics
• Scientometrics
• Citation Analysis
• +۷ مورد دیگر

Barbara S. Lancho Barrantes is a Senior Lecturer at the University of Brighton's School of Architecture, Technology and Engineering within the Computing and Mathematical Sciences department. She specializes in bibliometrics, scientometrics, and research analytics, with a focus on citation analysis, sustainable development goals, and research integrity. She holds a PhD in Bibliometrics from the University of Extremadura and has received prestigious awards including the Extraordinary PhD Award (2014) and the Responsible Research and Innovation Award (2022). Education includes a Bachelor's in Information Science (First Class Honours, 2006), a Master's in Digital Information Management (2007), and a PhD in Bibliometrics (2012). She is a Fellow of the Higher Education Academy and has held roles at institutions like the University of Leeds and Tecnologico de Monterrey. Research interests span citation dynamics, SDG mappings, and the impact of economic factors on scientific productivity. She leads the LIS Bibliometrics committee and organizes the annual international conference. Recent work includes exploratory factor analysis of SDG indicators and multilingual research dissemination practices. Key Awards: Extraordinary PhD Award, Responsible Research and Innovation Award Professional Affiliations: Chair of LIS Bibliometrics Committee, External Examiner at University of Wolverhampton Supervision Focus: Bibliometric methodologies, data science integration with research metrics Her articles analyze citation flows, SDG contributions, and questionable publishing threats. She advocates for responsible research metrics through workshops and peer-review activities in journals like Scientometrics and Education for Information .