Find Academic Supervisors

Abdussalam AlawiniView profile

Academic

• Database Systems
• Applied Machine Learning
• Computer Science Education
• +3 more

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.

Martin IngvarView profile

Professor

• Neurosciences
• Medical Informatics
• Cognitive Science
• +3 more

Martin Ingvar is a Senior Professor at Karolinska Institutet's Department of Clinical Neuroscience, affiliated with the Pain and Brain Imaging research group led by Karin Jensen. He holds a Medical Degree from Lund University (1984) and a Doctor of Medical Science degree (1982), specializing in experimental neurological research. His research focuses on knowledge processes in healthcare, integrating cognitive science, information theory, and medical informatics to develop clinical information systems that enhance patient care. He leads the Vinnova Demonstrator project (2023–2027) on multi-use health data and has held prominent roles such as Dean of Research at Karolinska Institutet (2010–2013) and Board Chair of Swelife (2013–2017). Ingvar’s academic career includes leadership positions like Deputy Head and Head of the Department of Clinical Neuroscience (2004–2010), and directorships of facilities like the Karolinska MR Center (1998–2022). His grants span topics like psychiatric prediction systems, chronic pain mechanisms, and healthcare data innovation. He has contributed to over 400 publications, emphasizing brain imaging, psychiatric disorders, and health informatics. Key contributions include pioneering work on the National MEG Center and advancing integrative medicine. His research bridges clinical neuroscience with societal health challenges, emphasizing data-driven solutions for healthcare systems.

Ian DawsonView profile

Senior Lecturer

• Crop Domestication
• Genetics
• Agroforestry
• +4 more

Ian Dawson is a Senior Lecturer at Scotland's Rural College (SRUC), where he holds roles in the Principal’s Research Group Agriculture & Business Management and the Biorefining And Advanced Materials Research Centre. His research focuses on crop domestication, agroforestry, and tree genetic resources, with a particular emphasis on orphan crops and climate adaptation. He has extensive international experience, collaborating in over 20 tropical/sub-tropical countries and contributing to global initiatives like the CGIAR Research Program on Forests, Trees and Agriculture. Education: PhD (Molecular Ecology and Population Genetics of Gliricidia) from University of Dundee (1995), MSc (Plant Genetic Resources) from University of Birmingham (1991), and BSc (Biochemistry) from University of Oxford (1989). Research Interests: Crop domestication processes, integrating genetics with food systems, tree genetic resources for forest restoration, and policy development for sustainable agriculture. Notable contributions include developing guidelines for seed systems and leading the Tree Genetic Resources flagship program under the CGIAR initiative. Recent work emphasizes mainstreaming nutritious crops into African diets and addressing global forest restoration challenges through better seed sourcing strategies. He has co-authored over 80 publications and supervised multiple PhD/MSc students, including Jon Bančič (SRUC/Roslin Institute) and researchers in Nairobi. Funding: Co-investigator in projects like the £2.2M RESAS 22-27 project on novel crops and the BBSRC-funded study on orphan crop value chains. His work bridges academic research with practical applications in international development. Labs/Teams: Active in SRUC’s globally-oriented research teams and CIFOR-ICRAF collaborations, promoting interdisciplinary approaches to agroecology and biodiversity management.

Bettina KemmeView profile

Professor

• Distributed Systems
• Cloud Computing
• Database Systems
• +5 more

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 KapritsosView profile

Associate Professor

• Distributed Systems
• Formal Verification
• Fault-Tolerant Replication
• +3 more

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 SpezzanoView profile

Associate Professor

• Social Network Analysis
• Misinformation Detection and Mitigation
• Information Diffusion
• +5 more

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

• Collaborative Research and Discovery
• IT-Enabled Business Process Innovation
• Knowledge Mining and Visualization
• +3 more

Christopher Asakiewicz is a Teaching Professor at the School of Business, Stevens Institute. His research focuses on Collaborative Research and Discovery, IT-Enabled Business Process Innovation, Knowledge Mining and Visualization, Healthcare Analytics, Cognitive Systems, and Artificial Intelligence. PhD in Information Management (2003), Stevens Institute MS in Electrical Engineering (1983), Stevens Institute BS in Electrical Engineering and Computer Science (1977), Columbia University His research explores the intersection of artificial intelligence and healthcare, particularly in accelerating translational research through knowledge mining, cognitive systems, and data integration. He has pioneered methods for leveraging AI in biobanking, collaborative discovery, and healthcare analytics, with a focus on enterprise-level applications. Recent publications highlight applications of AI and machine learning in translational research, healthcare analytics, and IT-enabled business process innovation. His work often bridges computer science, systems engineering, and life sciences. Asakiewicz contributes to institutional service through roles on the Institute Curriculum Committee and BI&A Advisory Board. He has secured significant research funding for projects involving Merck Pharmaceuticals, Genesis Research, and the Department of Defense.

Raman AdaikkalavanView profile

Professor

• Information Security (IoT, Android)
• Data Streaming
• Computer Science Education
• +3 more

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 AhmadView profile

Professor

• Machine Learning
• Cyber Security
• Public Health Prediction
• +5 more

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.

Kirsten RichardsView profile

Assistant Professor

• Technology Solutions in Healthcare
• Healthcare Management
• Applied Interaction Design
• +3 more

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.

Steve ThomasView profile

Professor

• Stream Ecosystems
• Community Ecology
• Nutrient Dynamics
• +5 more

Steve Thomas is a Professor in the Department of Biological Sciences at the University of Alabama. He is actively accepting graduate students and focuses on functional attributes of stream ecosystems, community composition effects, and interactions between ecosystem and evolutionary processes. His research spans nutrient dynamics, material transport, and management impacts in aquatic systems, with recent expansions into microbiome interactions and stoichiometry databases. Current funded projects include ecological impacts of urban/agricultural nutrient loading, microbiome functional roles, and large-scale ecological pattern analysis. Research interests emphasize both basic and applied questions in freshwater ecology, including: Longitudinal connectivity in stream networks Nutrient spiraling and bioactive layer processes Ecological consequences of land-use changes Hydropower impacts in tropical river systems Food web dynamics and methodological innovations Recent work highlights interdisciplinary approaches combining field experiments with advanced sensor technologies, particularly in tropical rainforest streams and agricultural-impacted systems. Collaborative projects involve global researchers addressing large-scale ecological patterns and conservation challenges. Current projects include: Stoichiometry database development for cross-scale ecological analysis Nutrient sensor networks quantifying urban/agricultural loading Trophic web reconstruction using isotope tracer experiments

Frédéric KeckView profile

Research Fellow

• Biopolitics
• Food Safety
• Health Crises
• +4 more

Frédéric Keck is a Research Fellow at the French National Centre for Scientific Research (CNRS) and heads the Social Anthropology Laboratory (Laboratoire d'Anthropologie Sociale, LAS) at the École des hautes études en sciences sociales (EHESS). He specializes in medical anthropology, focusing on health crises, zoonoses, and biosecurity. His work bridges philosophy, epidemiology, and ecological studies, with notable research on avian flu in Hong Kong and pandemic preparedness. Education: PhD in Philosophy (2003) from University of Lille-III DEA in Philosophy (1999) from University of Paris X-Nanterre Aggregation in Philosophy (1997) Exchange at UC Berkeley (1998-1999) Research Themes: Biopolitics, food risks, scientific networks, ecological disasters, conservation, and zoonotic diseases. His interdisciplinary approach spans anthropology, epidemiology, and policy analysis, with a focus on how scientific expertise shapes global health governance. Publications: Over 20 books and articles, including A World with Flu (2010), Pandemic Sentinels (2020), and works on avian influenza's societal impacts. His writing emphasizes the interplay between human and animal health, surveillance systems, and cultural perceptions of risk. Awards: CNRS Bronze Medal (2011), Fyssen Foundation Grant (2007), and membership in the Canadian Institute for Advanced Research (2015). Roles: Directed the Musée du Quai Branly's research department (2014–2018) and currently leads LAS. Engaged in global health initiatives and collaborative projects on veterinary anthropology and disaster preparedness. Labs/Teams: LAS (CNRS UMR 7130), collaborating with international networks on biosecurity, zoonoses, and environmental anthropology.

Maria Laura CARRANZAView profile

Professor

• Ecology
• Remote Sensing
• Plant Invasion Dynamics
• +5 more

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 SpoonerView profile

Professor

• Environmental Change
• Paleolimnology
• Hydrogeology
• +3 more

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
• +5 more

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.