Find Academic Supervisors

• Corporate Finance
• Leadership Studies
• Organizational Behavior
• +3 more

Eahab Elsaid is a Professor of Finance at the Odette School of Business, University of Windsor. He holds a Ph.D. in Finance from Southern Illinois University Edwardsville (2006), an M.A. in Business Administration (2002), and a B.A. in Electronics and Communications from Cairo University (1999). His research focuses on leadership dynamics, CEO succession, organizational behavior, and cross-cultural management. He has been repeatedly honored as Professor of the Year by both undergraduate and MBA students since 2007. Research Interests: CEO Turnover and Succession Leadership Diversity and Ethnicity Employee Engagement and Retention Gender and Leadership Strategic Management His recent articles analyze ethnic minority CEO tenure, employee ambidexterity, and female leadership dynamics. He has secured grants on topics like CEO ethnicity analysis and online learning preferences. His work bridges finance, management, and interdisciplinary social sciences, with a focus on empirical studies in Egypt and North America. Awards: Over 15 'Professor of the Year' accolades from students, plus best paper awards at Academy of Management and ASAC conferences. His research is published in journals like Journal of Organizational Behavior and Finance Research Letters . Grants/Advising: Active in securing competitive grants since 2007, including SSHRC and University of Windsor funding. His work emphasizes EDI considerations and innovative data methods (e.g., Python-Bloomberg integration).

Jenifer WalkeView profile

Associate Professor

• Microbiology
• Ecology
• Disease Ecology
• +4 more

Jenifer Walke, PhD, is an Associate Professor in the Department of Biology at Eastern Washington University (EWU), part of the College of Science, Technology, Engineering & Mathematics. She earned her B.S. from James Madison University and her Ph.D. from Virginia Tech, followed by postdoctoral research in Entomology and Biological Sciences. Her research focuses on microbial and disease ecology, particularly the roles of beneficial and harmful microorganisms in amphibians. Dr. Walke teaches undergraduate and graduate courses in biology, microbiology, ecology, and environmental science. She is a member of professional societies such as the American Society for Microbiology and the Ecological Society of America. Her research emphasizes amphibian skin microbiomes and their interactions with pathogens like Batrachochytrium dendrobatidis (Bd), aiming to understand mechanisms of disease resistance and biodiversity conservation. She collaborates on projects involving endangered species, such as the Rock Gnome Lichen and Columbia spotted frogs. Her work often integrates field studies, lab experiments, and genomic analyses to address ecological and conservation challenges. Dr. Walke actively engages in K-12 outreach, including frog education programs for elementary students. Her lab, the Walke Lab ( www.walkelab.com ), supports undergraduate and graduate students in research, with projects ranging from newt microbiome studies to honeybee gut health. Recent lab highlights include NSF-REU student presentations and community engagement with groups like the Whidbey Island Beekeepers Association. Her advising includes students like Autumn Holley (PhD candidate), Jenn Perez (MS graduate), and Jonah Frago (undergraduate researcher). While no explicit awards are listed, her contributions to amphibian microbiome research are recognized through peer-reviewed publications. Grants and funding details are not detailed in the provided texts, but her work aligns with broader efforts in disease ecology and conservation biology.

Stefan EdlichView profile

Professor

• Data Science
• NoSQL Databases
• Big Data Analysis
• +7 more

Prof. Dr. Stefan Edlich is a Professor at the Beuth University of Applied Sciences Berlin, leading the Data Science Master program and the Data Science Lab. He holds a Dr. med. Ing. and has authored 13 books, including the world's first NoSQL book. His research focuses on NoSQL databases, Big Data systems, AI applications in health, industry, and education, and data quality. Edlich organizes conferences on Big Data, functional programming, and Clojure, and manages the NoSQL Archive. He has been part of the Berlin Big Data Center (BBDC) since 2014. His work spans over 60 publications, with recent contributions in AI-driven healthcare, blockchain, and distributed systems. He advises students and maintains strong industry ties with companies like Zalando, Amazon, and IBM. His teaching excellence has earned him the 'Top 25 Lecturer' award multiple times at Beuth. Edlich's collaborations include projects like the MOMO mobile app for machine learning and the BBC-DaaS open-data platform. Research interests include data science applications in biodiversity, HCI innovations, and education technology. He actively contributes to open-source projects like Clarango (Clojure driver for ArangoDB) and advocates for data literacy through the Stifterverband initiative.

Edith GonzalezView profile

Assistant Professor

• Global flow of Traditional Ecological Knowledge
• Historical Archaeology of the English-Speaking Caribbean
• Transatlantic Slavery
• +3 more

Edith Gonzalez, PhD, is an Assistant Professor in the Department of Anthropology at the University at Buffalo, State University of New York, within the College of Arts and Sciences. Her research integrates historical archaeology, ethnography, and archival work to explore themes such as transatlantic slavery, Caribbean colonial ecodynamics, and traditional ecological knowledge. She conducts fieldwork in Antigua & Barbuda and archival research in the UK, informed by her extensive museum experience at institutions like the American Museum of Natural History. She teaches courses in Historical Archaeology (APY 215) and Museum Ethnology (APY 420) as part of the Critical Museum Studies Program. Education includes a PhD from The Graduate Center - City University of New York, an MA from the University of Virginia, and a BA from Hunter College. Her work examines colonial legacies, post-disaster sociocultural impacts, and the interplay between human and environmental systems in the Caribbean. Recent publications focus on the pandemic response in peripheral regions, Caribbean archaeological investigations, and the ecological symbolism of colonial fauna. No scientific awards are explicitly mentioned in the text. Her research and teaching emphasize interdisciplinary approaches to understanding historical and contemporary challenges in postcolonial societies.

Rajesh DaveView profile

Professor

• Pharmaceutical Process Engineering
• Powder Technology
• Drug Delivery Systems
• +5 more

Rajesh Dave is a Distinguished Professor in the Department of Chemical & Materials Engineering at the New Jersey Institute of Technology (NJIT). He holds a B.S. from the Indian Institute of Technology Bombay and M.S./Ph.D. degrees from Utah State University, all in Mechanical Engineering. His research focuses on pharmaceutical process engineering, powder technology, and material science, with applications in drug delivery systems and manufacturing optimization. He has pioneered dry coating techniques to enhance powder blend processability and employs machine learning for predictive modeling in pharmaceutical processes. Education: Ph.D., Mechanical Engineering, Utah State University (1983) M.S., Mechanical Engineering, Utah State University (1981) B.S., Mechanical Engineering, Indian Institute of Technology Bombay (1978) Research interests include powder compaction mechanics, surface engineering of pharmaceutical particles, and scalable manufacturing solutions for poorly soluble drugs. His work integrates experimental and computational methods to address challenges in drug formulation, process analytical technology (PAT), and quality-by-design (QbD) frameworks. Recent projects emphasize enhancing drug dissolution rates via nanoparticle engineering and optimizing 3D-printed dosage forms. Scientific Awards: 2022 AIChE PD2M Award for QbD Contributions 2021 Fellow of the National Academy of Inventors (NAI) His research has led to innovations in engineered excipients, continuous manufacturing systems, and predictive models for powder flowability. Collaborative efforts with industry partners focus on translating lab-scale discoveries into industrial applications. He maintains an active laboratory and advises on grants related to pharmaceutical manufacturing excellence.

Jérôme ROCHETEAUView profile

Researcher

• IoT Engineering
• Industry 5.0
• Digital Twin Technology
• +4 more

Jérôme ROCHETEAU is a Researcher at ICAM (École d'Ingénieurs) in Nantes, France, specializing in IoT Engineering for Industry 5.0. He is affiliated with the LS2N laboratory and focuses on digital twin technology, software engineering, and machine learning operations. His research integrates applied projects like Recyplast-DEMO, emphasizing sustainable manufacturing and industrial IoT solutions. He collaborates closely with industry partners to develop model-driven engineering frameworks for sensor networks and green computing metrics. His work bridges formal methods with practical applications in cyber-physical systems and industrial automation. Education and academic background details are not explicitly provided in the text. His projects emphasize real-time systems, sensor data analysis, and sustainable software practices. He contributes to international academic partnerships through ICAM's global campuses, fostering applied research with industrial relevance. His publications span digital twin development, IoT system correctness, and energy-efficient software engineering. Key collaborations include the MEASURE project for green software metrics and the SMART REIFIER framework for SCADA applications. His expertise in model-driven engineering and formal verification underscores his contributions to reliable IoT architectures and industrial automation systems.

Robbie BaldockView profile

Senior Lecturer

• DNA Repair
• Mitochondrial Biology
• Pharmacology
• +4 more

Dr. Robbie Baldock is a Senior Lecturer and Associate Head (Employability & Placements) at the University of Portsmouth , where he leads the Baldock Laboratory in the School of Medicine, Pharmacy and Biomedical Sciences . His career spans roles at Solent University (Lecturer/Senior Lecturer), University of Gloucestershire, and University of Pittsburgh (postdoctoral research). He holds a PhD from the University of Sussex and is a Senior Fellow of the Higher Education Academy . Current leadership role: Associate Head (Employability & Placements) Academic institutions: University of Sussex (undergraduate), University of Pittsburgh (postdoc) Professional affiliations: Biochemical Society Local Ambassador, Genes Research Area Panel, Early Career Advisory Panel His research interests focus on DNA repair mechanisms in both nuclear and mitochondrial genomes, antibiotic-induced mitochondrial toxicity , and the role of hydroquinine in bacterial resistance . He also explores augmented reality (AR) in bioscience education to enhance student engagement and accessibility. Recent research outputs highlight trends in antibiotic resistance (e.g., efflux pump regulation in Pseudomonas aeruginosa ), mitochondrial DNA protection , and AR applications in education . His 2024 work on machine learning for COVID-19 detection via X-rays demonstrates interdisciplinary innovation. Scientific awards include: Senior Fellow of the Higher Education Academy (AdvanceHE) Dr. Baldock supervises self-funded PhD students and actively participates in degree program validation and external examining (University of Plymouth). His lab at Portsmouth leverages state-of-the-art equipment for fluorescence analysis, flow cytometry, and cell culture studies.

• Sound Design
• Human-Computer Interaction
• Computer Graphics
• +3 more

Darrell Gibson is a Senior Lecturer in the Creative Technology Department at Bournemouth University, specializing in the intersection of computing and the arts. He holds a PhD in Sound Design (2022) from the University of Southampton, an MSc in Music & Sound Technology (2010) from the University of Hertfordshire, and a BEng in Electronic Engineering (1994) from the University of Westminster. His research focuses on Human-Computer Interaction in sound design, particularly graphical interpolators for synthesizer parameter mappings. He explores how visual interfaces influence sound design workflows and aims to improve usability through better interface design. Key areas include real-time audio visualization, parametric control systems, and user-centric interface development. Recent work includes studies on game sound design practices and emerging audio technologies for immersive storytelling. His publications span conferences like ACM and IEEE, with a focus on synthesizer visualization paradigms and usability metrics. Grants: Digital Humanities Small Grant (2013) Teaching Roles: Programme Leader for BSc Music & Audio Technology and BSc Media Technology. Consultancy: VHDL/Verilog workshop training and methodology design. He is a member of the Audio Engineering Society and the Institute of Engineering & Technology (MIET).

Mingkui WeiView profile

Associate Professor

• Network Security
• Cybersecurity
• Application Layer Threats
• +5 more

Mingkui Wei is an Associate Professor at the Department of Cyber Security Engineering , George Mason University (Fairfax campus). His research focuses on network security, particularly application-layer threats, using mathematical modeling, simulation, and machine learning to combat cyber threats. Previously, he held a faculty position in Computer Science at Sam Houston State University before joining George Mason in 2021. Education: PhD in Computing Engineering, North Carolina State University (2016) MS in Information Systems, Southeast University (China, 2008) His research interests span cutting-edge cybersecurity domains including serverless computing vulnerabilities, CDN-assisted attacks, biometric authentication systems, and smart grid security. Notable contributions include analyzing adversarial hidden link threats via large language models and developing defenses against Wi-Fi spoofing using geolocation APIs. His work also addresses cache exploitation risks and real-time latent fingerprint analysis using smartphones. Recent publications (2021–2024) highlight trends in serverless computing security , CDN exploitation , and web application hardening . Major themes include mitigating DoS attacks through function-level exploitation, enhancing CDN-based geolocation security, and improving phishing detection via machine learning. Awards: No awards explicitly mentioned in the provided text. Advising & Grants: No advising/grant details provided. His research has been published in top-tier venues like IEEE INFOCOM, Usenix Security, and ACM CCS. Labs/Teams: Active in the Cyber Security Engineering research community at George Mason University.

• Software Engineering
• 3D Information Technology
• Human-Computer Interaction
• +6 more

Prof. Marek Miłosz is a Professor at Lublin University of Technology, leading the Department of Software Engineering and Database Systems and the Laboratory of Motion Analysis and Interface Ergonomics. His work focuses on 3D Information Technology for cultural heritage preservation, software engineering, human-computer interaction, and mobile application development. He has spearheaded projects like the 3D Digital Silk Road initiative and the T1DCoach diabetes management app, emphasizing interdisciplinary collaboration between computer science and cultural/humanitarian fields. Research interests include: 3D digitization of historical architecture AI-driven sign language resources Competency-based curriculum design Usability testing of medical applications Ontological approaches in education Recent publications (2023-2025) highlight advancements in gesture recognition systems, low-resource language datasets, and computational methods for cultural heritage preservation. His work bridges technological innovation with societal impact through UNESCO-related heritage projects and health tech solutions. Key projects include: Development of DiagNurse clinical support app 3D digitization of Silk Road monuments Competency-based curriculum ontologies AI-powered linguistic resources for disabled communities He coordinates international education initiatives like the MADEM and PROMIS programs, integrating industry needs into computer science curricula. His laboratory develops innovative solutions for interface ergonomics and motion analysis in rehabilitation contexts.

• Bioinformatics
• Software Engineering
• GUI Usability
• +7 more

Małgorzata Plechawska-Wójcik is an Assistant Professor at the Lublin University of Technology, affiliated with the Faculty of Electrical Engineering and Computer Science and the Department of Computer Science. Her research focuses on bioinformatics, software engineering, GUI usability, and interdisciplinary applications of machine learning in healthcare and neurology. She leads or contributes to projects such as the T1DCoach diabetes management application and the Integrated Development Programme of the university. Her work spans comparative analyses of programming frameworks, database systems, and game engines, emphasizing performance optimization and usability. Education details are not explicitly listed, but her academic role indicates advanced qualifications in engineering and computer science. Current projects include collaborations with ANMC, Moodle, and Eduroam initiatives, alongside research into schizophrenia detection via retinal measures and EEG analysis. Research interests include: Bioinformatics : Leveraging machine learning for medical diagnosis (e.g., schizophrenia detection via optical coherence tomography and neural networks). Software Engineering : Comparative studies of frameworks (React.js, Solid.js), scripting languages (JavaScript, Kotlin), and database mapping tools (NuGet). Human-Computer Interaction : Evaluating GUI usability in e-commerce, streaming services, and serious games for education and healthcare. Publications highlight trends in: Machine learning applications in neuroscience and healthcare. Performance benchmarking of web, mobile, and game development tools. Comparative analyses of frameworks and architectures (e.g., Spring vs Laravel, Godot scripting languages). Notably, she has been honored with the Merit Medal for the City of Lublin alongside colleagues from the Computer Science Department. Her advising and grant involvement include project management tools, serious games for first aid training, and environmental monitoring systems using Arduino platforms. Key labs and initiatives include collaborations with the Katedra Informatyki (Computer Science Department) on projects like LubGame Conference and the Moodle integration for educational tools. Her work bridges theoretical computer science with practical applications in healthcare, education, and industry.

• Cloud Computing
• Internet of Things (IoT)
• Semantic Web
• +3 more

Euripides Petrakis is a Professor at the School of Electrical and Computer Engineering of the Technical University of Crete (TUC), serving as Director of the Intelligent Systems Laboratory since 2006. He holds a B.Sc. in Physics from National University of Athens (1985) and a Ph.D. in Computer Science from University of Crete (1993). His research focuses on cloud computing, IoT, semantic web technologies, and image databases. Notable achievements include over 175 publications with a Google Scholar citation count exceeding 4000, attracting €2.5M in EU and Greek Government funding. Education: B.Sc. Physics (1985), Ph.D. Computer Science (1993) Research interests span: - Cloud computing and microservices orchestration - IoT security and interoperability - Semantic web ontologies for service descriptions - Edge computing architectures Recent work emphasizes Kubernetes scheduling optimizations, real-time video processing, and GDPR-compliant IoT frameworks. His group developed systems like TWIST, DeFog, and CLONE, addressing challenges in distributed systems and semantic interoperability. Awards: TUC Excellence Award (2022), AINA 2024 Best Paper Advising over 30 graduate students, Prof. Petrakis has coordinated 15+ research projects. His lab explores next-generation cloud-edge architectures and semantic web of things standards.

Drew GuarneraView profile

Assistant Professor

• Software Engineering
• Program Comprehension
• Eye Tracking
• +2 more

Drew Guarnera is an Assistant Professor of Computer Science at the College of Wooster specializing in software engineering and program comprehension. His research focuses on using eye tracking to provide cognitive insights during software development activities. He is a developer for the NSF-funded iTrace project, which provides infrastructure for eye tracking in development environments. His research examines how developers read and build mental models of source code, with applications in education and tool development. Research interests include: Eye tracking methodologies in software engineering Program comprehension and cognitive load Development of educational tools Software maintenance and documentation His publications demonstrate consistent focus on developer cognition, with recent work advancing eye tracking infrastructure and analytical methods. Awards include the IEEE TCSE Distinguished Paper Award for semantics-aware recording of eye tracking data. Dr. Guarnera has advised multiple undergraduate research projects spanning web development, game design, neural networks, and software tools.

• Agile Methodologies
• Software Engineering
• DevOps
• +3 more

Prof. Martin Kropp is a Lecturer for Software Engineering and Programme Manager for the CAS Agile Organisation at FHNW University of Applied Sciences and Arts Northwestern Switzerland, within the School of Computer Science and FHNW Institute of Mobile and Distributed Systems. His research focuses on Agile Methodologies, Tool-supported Agile Collaboration, and Automated Software Construction/Testing. He actively contributes to the Swiss Agile Research Network (SARN) and Swiss Agile Study initiatives. Teaching responsibilities include courses on Software Construction, Testing & Quality Management, and .Net Framework/C# for the Bachelor of Computer Science, as well as the Master of Science in Engineering (MSE) in Software Engineering and Architecture. He has published extensively on Agile practices, DevOps metrics, and collaborative tools like aWall, emphasizing empirical studies and practical applications. Key research themes include Agile team dynamics, leadership in software development, and the integration of AI in testing and DevOps. His work bridges academic research and industrial practice, with notable contributions to conferences like ICSE, XP, and CHASE.

Thiab TahaView profile

Professor

• Numerical Analysis
• Scientific Computing
• Parallel Algorithms
• +7 more

Thiab Taha is a Professor of Computer Science at the University of Georgia. He holds a Ph.D. in Mathematics from Clarkson University (1982). His research focuses on Numerical Analysis, Scientific Computing, Parallel Algorithms, and applications in Bioinformatics, Health Informatics, and Nonlinear Waves. He has held editorial roles including Senior Editor of the International Journal Mathematics and Computers in Simulation and Guest Editor for multiple special issues on Nonlinear Waves. Prof. Taha’s work spans computational methods for nonlinear evolution equations, GPU-accelerated algorithms, and deep learning applications in medical imaging and video captioning. Notable achievements include the 3rd IMACS 2011 Most Successful Papers Award and his role as Vice President of IMACS. His research also intersects with high-performance computing and big data challenges, including grants like the NSF EAGER initiative for Big Data Consulting Services (2013). Education: Ph.D. in Mathematics (Clarkson University, 1982) Key Contributions: Development of parallel numerical schemes for nonlinear PDEs, GPU-optimized algorithms, and AI-driven medical imaging solutions. Labs/Teams: Involved in computational biology projects like KINSOLVER for simulating biochemical networks and DrDRV3 for ophthalmic lesion detection. His interdisciplinary research bridges computational mathematics, AI, and real-world applications in healthcare and data science. Current efforts include advancing GAN-based meta-universe creation and energy-preserving fractional differential equation solvers.