Find Academic Supervisors

• Photovoltaics
• Perovskite Solar Cells
• Materials Science
• +3 more

Dr. Rubaiya Murshed serves as Assistant Professor in the Department of Mechanical Engineering at Embry-Riddle Aeronautical University's College of Engineering, joining the faculty in Fall 2023. She teaches Thermodynamics, Engineering Materials Science, and associated laboratory courses while maintaining dual research programs in photovoltaics and engineering education. Her educational background includes: PhD in Mechanical Engineering, University of Nevada, Las Vegas MS in Mechanical Engineering, University of Nevada, Las Vegas Dr. Murshed's research spans advanced photovoltaic materials development—particularly tin-based perovskite solar cells with focus on electron transport layers and lead-free alternatives—and innovative engineering education through technology-integrated active learning strategies. Her materials work targets solar cell efficiency and stability improvements using novel doping and structural engineering approaches, while her education research develops evidence-based pedagogical frameworks for enhanced classroom engagement. Her 9 research outputs (2023-2025) reveal strong interdisciplinary focus, with photovoltaics publications emphasizing material synthesis and device optimization, and education research contributions advancing active learning methodologies. This dual-track scholarship demonstrates significant early-career productivity. Recognition includes: 2nd Best Paper Award, New Engineering Educator Division (ASEE, 2025) Faculty Research Development Program grant (2025) KEEN Faculty Development award (2025) Student-as-Partner Program funding (CTLE, 2025) Innovative Teaching Grant (CTLE, 2024) Dr. Murshed actively secures internal research funding while building her scholarly profile, with current projects spanning photovoltaic materials characterization and educational technology implementation. She mentors students through cooperative education programs and the Student-as-Partner initiative, fostering collaborative research experiences. Though no dedicated lab name is specified, her photovoltaics research implies development of materials synthesis and characterization capabilities within the Mechanical Engineering Department's facilities, supporting hands-on student research in renewable energy technologies.

• Evidence synthesis
• Systematic reviews
• Scoping reviews
• +7 more

Dr. Lyndsay Alexander is an Associate Professor within the School of Health Sciences at Robert Gordon University. She serves as Deputy Director of the Scottish Centre for Evidence-based Multi-professional Practice: a JBI Centre of Excellence and is a member of the international JBI Scoping Review Methodology Group. Dr. Alexander co-leads the North of Scotland Council for Allied Health Professions Research (CAHPR) and is a member of the Scottish CAHPR Consortium which aims to support and develop Allied Health Professions research. Dr. Alexander is an experienced applied health researcher and musculoskeletal physiotherapist with expertise in evidence synthesis, particularly systematic reviews and scoping reviews. Her research focuses on: Evidence synthesis and systematic reviews methodology Musculoskeletal research (tendinopathy, back pain, knee/hip joint replacement) Long-Covid rehabilitation AHP service delivery via remote technology Physical activity and exercise interventions across diverse populations With over 70 research outputs including numerous publications from 2023-2025, Dr. Alexander's recent work demonstrates a strong focus on scoping review methodology, musculoskeletal rehabilitation, Long-COVID rehabilitation services, and the application of digital technologies in healthcare delivery. Her publications span high-impact journals in evidence synthesis, rehabilitation, and healthcare research. Dr. Alexander actively supervises research students, currently guiding multiple PhD, DPT, and MRes students through their research projects. Her supervision spans topics including traumatic injury rehabilitation, tendinopathy, long-COVID, digital health technologies, and Parkinson's disease rehabilitation. She has successfully mentored several students to completion of their degrees. As Deputy Director of the Scottish Centre for Evidence-based Multi-professional Practice, Dr. Alexander leads a team focused on advancing evidence-based practice across multiple healthcare professions. The center provides training, conducts high-quality evidence syntheses, and supports the implementation of evidence into practice across Scotland and internationally.

Ulrich EiseneckerView profile

Professor

• Software Engineering
• Generative Software Development
• Software Product Lines
• +5 more

Professor Ulrich Eisenecker serves as the Director of the Institute for Business Informatics at Leipzig University's Faculty of Economics and Business Administration. He holds the Chair of Business Informatics with specialization in software development for business and administration, a position he has maintained since October 2004. Prior to this, he served as Dean of the Faculty (2012-2016) and Pro-Dean (2008-2012). His academic journey includes professorships at Kaiserslautern University of Applied Sciences (1999-2004) and Heidelberg University of Applied Sciences (1995-1999), following research positions at Daimler-Benz Research Institute and Mannesmann Kienzle GmbH. Professor Eisenecker's research focuses on Generative Software Development , Software Product Lines , Software Visualization (including 2D, 3D, AR and VR applications), and E-Assessment systems . His work bridges theoretical computer science with practical business applications, particularly evident in his application of set theory to software features and product lines. He leads the ongoing 'Visual Software Analytics' project and has previously directed projects funded by the European Social Fund and German Federal Ministry of Education and Research. His publication record spans over two decades, highlighted by the influential 2000 book 'Generative Programming' co-authored with K. Czarnecki and the 2017 Most Influential Paper Award from the Software Product Line Conference. Recent work (2023-2025) continues to advance software engineering and educational technology, particularly in automated assessment systems using AI techniques. Notable recognition: Most Influential Paper Award from Software Product Line Conference 2017 (SPLC 2017) Professor Eisenecker supervises doctoral and master's students, with numerous successful completions including Dr. Richard Müller, Dr. Max Lillack, and Dr. Johannes Kristan. His research group includes several scientific staff members and regularly publishes with student co-authors. He teaches 'Introduction to Computer Science' for economics students, 'Programming,' and 'Software Engineering' courses, integrating his research in automated feedback systems into his pedagogy. His research group maintains strong connections between academic research and practical applications, particularly through open source initiatives and industry collaborations focused on software analytics and educational technology.

Whady Felipe Florez EscobarView profile

Research Professor

• Numerical Methods
• Meshless Methods
• Radial Basis Functions
• +6 more

Whady Felipe Florez Escobar is a Research Professor at Pontifical Bolivarian University, coordinating the Energy and Thermodynamics Group (GET) and Mathematical Process Optimization group (ÓPTIMO). His work spans numerical methods, thermoelectric energy conversion, and biomedical applications with contributions to UN Sustainable Development Goals 7 and 9. Research Interests: Specializing in meshless methods using radial basis functions, his research addresses thermoelectric generators under mismatched thermal conditions, plasmonic effects in gold nanorods for photothermal therapy, and hydrogen energy systems. His fingerprint analysis shows strong focus on Two Dimensional Engineering (100%), Radial Basis Function Engineering (95%), and Boundary Element Method (61%). Publication Trends: Recent work (2024-2025) demonstrates interdisciplinary convergence between energy engineering and biomedical applications, featuring advanced numerical techniques for thermoelectric systems and cancer treatment. A clear shift toward industrial implementation is evident through partnerships with EPM utility company. Advising and Grants: Advises students including Daniel Sanín (thermoelectric generators) and R.C. Gómez Araque (photothermal therapy software). Current grants include: HYEPM2: Low-emission hydrogen production for EPM group (2025) UHP: Ultrasound-based testing for hydrogen pipelines (2025) PTARH2: Green hydrogen applications (2024) Photothermal therapy for gastric adenocarcinoma (2022-2024) Research Infrastructure: Leads GET and ÓPTIMO groups with active collaborations across 10 projects since 2020, focusing on numerical modeling for energy systems and industrial optimization.

Marcos KalinowskiView profile

Professor

• Software Engineering
• Machine Learning
• Empirical Software Engineering
• +5 more

Professor Marcos Kalinowski is a faculty member in the Department of Informatics at Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Brazil. He serves as Professor of Software Engineering with an active research program focused on the intersection of software engineering and artificial intelligence. His research interests span: Software Engineering Machine Learning in Software Engineering Empirical Software Engineering Requirements Engineering for AI/ML Systems Trustworthy AI Systems Software Engineering Education Professor Kalinowski's recent work has concentrated on Large Language Models (LLMs) applications in software engineering processes, emphasizing empirical validation and practical relevance. His publications reveal a strong commitment to understanding how AI technologies can be effectively integrated into software development while maintaining quality standards and addressing human factors. He leads the international "Naming the Pain in Requirements Engineering" (NaPiRE) initiative, which investigates requirements engineering challenges across global organizations. His scientific contributions include: Framework development for trustworthy AI systems Empirical studies on LLMs in software engineering research Investigations of human factors in software development Analysis of machine learning code quality and technical debt Requirements engineering methodologies for AI-enabled systems Professor Kalinowski holds leadership positions in major software engineering conferences including General Co-Chair for ICSE 2026 and Program Co-Chair for ESEM 2021. His work appears consistently in top-tier venues such as ICSE, ESEC/FSE, EASE, and SANER, demonstrating significant recognition within the software engineering research community.

Sandeep Kaur KuttalView profile

Associate Professor

• Human-Computer Interaction
• Software Engineering
• Artificial Intelligence
• +4 more

Sandeep Kaur Kuttal serves as an Associate Professor at North Carolina State University, where she directs the Human-Centric Software Engineering Lab. Her work bridges software engineering, human-computer interaction, and artificial intelligence with significant contributions to understanding programmer behavior and developing mixed-initiative systems. Her research spans Human-Computer Interaction , Software Engineering , Artificial Intelligence , Education , and Gender Studies , focusing on empirical investigations of programmer behavior with particular emphasis on gender and diversity dynamics. Current projects examine information foraging patterns in developer communities, remote pair programming interactions, and human-AI collaboration frameworks. Analysis of her recent publications reveals consistent thematic focus on gender-inclusive software engineering practices (evident in 70% of her 2022-2024 publications), information foraging theory applications to developer tools, and human-agent collaboration systems. Her work frequently employs mixed-methods approaches combining quantitative behavioral analysis with qualitative user studies. Dr. Kuttal actively mentors graduate students and recruits PhD candidates through her lab, emphasizing self-motivation and hands-on project experience. Her lab infrastructure supports empirical studies of developer behavior through specialized software instrumentation and behavioral tracking frameworks. She maintains significant service contributions as Program Committee member for ASE, ICSE, and VL/HCC conferences, and has held leadership roles including Tutorial and Workshop Co-Chair for VL/HCC 2024 and Most Influential Paper Award Co-Chair. Her laboratory work centers on the Human-Centric Software Engineering Lab, which develops tools for analyzing programmer interactions and prototyping mixed-initiative systems. Current research directions include adaptive pair programming support systems and bias detection frameworks for collaborative development environments.

José RouillardView profile

Lecturer

• Brain-Computer Interfaces
• Multimodal Interaction
• Mobile Application Development
• +5 more

José Rouillard is a Lecturer-Researcher in Computer Science (section 27) at Université de Lille, affiliated with the CRIStAL laboratory (Centre de Recherche en Informatique, Signal et Automatique de Lille) where he works in the Brain-Computer Interface (BCI) research team. His academic position combines teaching responsibilities with active research in human-computer interaction, particularly focusing on novel interface technologies and assistive applications. Dr. Rouillard's primary research interests center around Brain-Computer Interfaces with particular expertise in Steady-State Somatosensory-Evoked Potentials (SSSEP). His work explores multimodal interaction techniques, virtual reality integration with BCI systems, and applications for individuals with motor disabilities such as Duchenne muscular dystrophy. Recent publications (2023-2024) demonstrate continued innovation in BCI technology, including Wizard of Oz studies on user perception, advanced SSSEP recording techniques with cEEGrid systems, and multimodal cobot interaction frameworks using MQTT protocol. His research bridges theoretical neuroscience with practical applications for assistive technologies. As an educator, Dr. Rouillard has created one of the most comprehensive App Inventor 2 teaching resources available, with 76 detailed projects covering the full spectrum of mobile application development. His course materials progress from basic applications to advanced implementations involving Bluetooth communication with Arduino, Firebase database usage, and AI APIs including OpenAI's ChatGPT and DALL-E. His teaching spans multiple academic years, with documented student projects from 2013 through 2023 across various Master's programs including MMD IAE, MIAGE, and e-Services. Supervised PhD thesis: "Hybrid brain-machine interface to overcome disability caused by Duchenne muscular dystrophy" (Alban Dupres, 2016) Supervised PhD thesis: "Filtrage somesthésique pour des interfaces cerveau-ordinateur utilisant des stimulations vibro-tactiles" (Jimmy Petit, 2022) Dr. Rouillard maintains a strong educational presence through his extensive online resources, including YouTube video tutorials, NextCloud file sharing for course materials, and detailed project guides. His student projects demonstrate practical applications of mobile development across diverse domains including health monitoring, gaming, social networking, and educational tools. The breadth of his educational impact is evident in the hundreds of student applications documented from 2013-2023, showcasing his commitment to practical, hands-on learning in computer science education.