Find Academic Supervisors

Kendra EvansView profile

Professor

• Bioanalytical Chemistry
• Environmental Chemistry
• Science Education
• +4 more

Kendra Evans is a Professor of Chemistry & Biochemistry at the University of Detroit Mercy, affiliated with the College of Engineering & Science. She holds a B.S. in Chemistry from Western Kentucky University (2003) and a Ph.D. in Analytical Chemistry from the University of Michigan (2009). Her research spans bioanalytical chemistry, environmental chemistry, and science education, with a focus on metabolomics, pesticide toxicity, and undergraduate research mentorship. She actively contributes to professional societies like Anachem and the American Chemical Society (ACS), serving in leadership roles such as Vice President of Anachem and exam committee chair. Evans has received notable awards, including the Anachem Fellow Award (2014) and the University of Detroit Mercy Faculty Achievement Award (2015). Her teaching responsibilities include general chemistry, quantitative analysis, and instrumental analysis courses. Evans leads NIH-funded initiatives like the I-RISE with U-RISE Program and co-directs the Office of Undergraduate Research in STEM and Graduate Opportunities (OURS+GO). Her lab emphasizes student success through course-based research experiences and evaluates interventions that foster science identity development. Notable student achievements include presentations at national conferences like ASBMB and ANACHEM, with awards for best undergraduate posters. Evans’ articles reflect interdisciplinary strengths in analytical methods, environmental toxicology, and pedagogy. Recent work highlights metabolomics strategies, pesticide effects on aquatic organisms, and mentorship frameworks for early-career researchers. Her NIH-funded projects underscore commitment to expanding STEM opportunities in Detroit, particularly for underrepresented groups.

Rabia NESSAHView profile

Professor

• Game Theory
• Operations Research
• Economics
• +3 more

Rabia NESSAH is a Full Professor of Quantitative Methods at IÉSEG School of Management in Lille, France. She holds a Ph.D. in Industrial Systems and Optimization (2005) from Technologic University of Troyes and an HDR in Economics and Mathematics (2013) from University of Paris Est. Her academic career includes prior roles as Lecturer at Technologic University of Troyes (2002–2006) and Université de Tizi-Ouzou, Algeria (2001–2002). Her research focuses on game theory, optimization, and scheduling algorithms, with notable contributions to equilibrium solutions (Berge, Nash, and hybrid variants), production scheduling models, and mathematical economics. She has published extensively in journals like European Journal of Operational Research , Journal of Mathematical Economics , and Mathematical Social Sciences , and co-authored books on revolutionary choice theories and voting paradoxes. NESSAH teaches courses in quality control, production planning, and optimization methods at the undergraduate level. Her work bridges theoretical advancements in game theory with practical applications in operations research and economic modeling.

Timothy NgView profile

Lecturer

• Formal Languages
• Automata Theory
• High-Performance Computing
• +4 more

Timothy Ng is a Lecturer in the Department of Computer Science at the University of Chicago. He teaches courses in the introductory and theory sequences for the Computer Science major in the College, as well as the theory core for the Masters Program in Computer Science. His research focuses on formal languages, automata theory, and high-performance computing. He has a strong background in parallel scripting frameworks, distributed-memory systems, and compiler optimization techniques for extreme-scale applications. Ng holds a PhD from Queen’s University, where he was advised by Kai Salomaa and David Rappaport. He completed a postdoctoral fellowship at the Cheriton School of Computer Science, University of Waterloo, working with Lila Kari. His work emphasizes practical programming models for high-performance computing, including implicit parallelism and dataflow coordination in scientific computing environments. His research articles span topics like implicit parallel scripting, distributed-memory computing, and big data staging for scientific applications. His contributions include frameworks like Swift/T and Photon, which address scalability and efficiency in parallel environments.

Michael BussmannView profile

Research Fellow

• Laser Plasma Acceleration
• Plasma Physics
• Computational Physics
• +3 more

Dr. Michael Bussmann is the Founding Manager of the Center for Advanced Systems Understanding (CASUS) at the Helmholtz-Zentrum Dresden-Rossendorf (HZDR). He holds a Research Fellow position and has been a Group Leader at HZDR since 2016, focusing on computational radiation physics and laser-plasma interactions. His academic journey includes a PhD in Physics from Ludwig-Maximilians University Munich, with research encompassing laser-cooling of ion beams, plasma dynamics, and high-performance computing. Bussmann's work bridges experimental and computational physics, particularly in advancing particle acceleration technologies and plasma-based applications. Research Interests: His primary focus lies in laser plasma acceleration, computational physics, radiation physics, and the development of exascale simulation tools. Notably, he contributes to projects like PIConGPU and explores applications of AI in scientific workflows. His interdisciplinary approach integrates plasma physics with medical research, such as federated learning for oncology. Publications: Recent work spans topics from exascale plasma simulations to AI-driven medical research, reflecting his dual expertise in computational science and applied physics. Key contributions include optimizing laser-ion acceleration using machine learning and advancing federated learning frameworks in cancer studies. Awards: While no specific awards are listed, his sustained leadership in high-impact research and contributions to HZDR’s initiatives highlight his recognized expertise. Grants & Collaborations: Bussmann leads the CASUS initiative, fostering collaboration between HZDR and international partners. His projects often involve EU frameworks and industrial partnerships, emphasizing translational research in energy and healthcare. Labs/Teams: Directs the Computational Radiation Physics group at HZDR and oversees CASUS, a hub for data-driven systems research. His teams develop cutting-edge simulation tools and explore interdisciplinary applications of plasma physics.

Martin Severin FrandsenView profile

Associate Professor

• Citizen Participation
• Urban Sustainability
• Disadvantaged Urban Areas
• +5 more

Martin Severin Frandsen is an Associate Professor in urban development and planning at Roskilde University's Department of People and Technology, affiliated with the Mobility, Space, Place and Urban Studies (MOSPUS) research group and the Center for Action Research and Democratic Societal Change. His research focuses on citizen participation, disadvantaged urban areas, and sustainability in planning through theoretical, historical, and participatory action research approaches. Teaching responsibilities include heading the Humanities and Technology Bachelor program (HumTek), instructing in urban planning modules (Plan, By & Proces), and supervising PhD candidates at the PhD School of People and Technology. He has contributed to transformative urban education through projects like the Urban Drama initiative. Key projects include 'Urban Drama - Conflict and Participation in Urban Development' (2022–present) and the Community Center Gellerup initiative (2005–2007). His work addresses urban policy discourses, parallel communities critique, and co-creation processes in disadvantaged neighborhoods. He actively engages in academic networks through editorial roles in journals like Dansk Sociologi and Nordiske Udkast. Publications span 50+ outputs including peer-reviewed chapters on Danish urban policy history, action research methodologies, and case studies of community development projects. His work intersects urban sociology, education innovation, and policy analysis with a focus on equitable urban futures.

• Multimedia Quality of Experience
• Machine Learning
• Immersive Media
• +3 more

Dr. Helard Becerra is an Assistant Professor in the School of Computer Science at University College Dublin (UCD). He holds a PhD from the University of Brasília and has held postdoctoral roles at UCD's Insight Centre for Data Analytics and Samsung R&D Institute Brazil. His research focuses on multimedia quality assessment (audio/video/speech) and AI-driven healthcare solutions for stroke rehabilitation. Key contributions include developing NAViDAd (a deep learning-based quality metric) and predictive models for stroke recovery outcomes. Education: B.Sc. (UNSAAC, Peru, 2010); M.Sc. & Ph.D. (UnB, Brazil, 2013/2019). Professional experience includes roles at Samsung (2019), DIT (2017-2018), and leadership in EU projects like Precise4Q (Horizon 2020). Research interests span: 1) Perceived quality in multimedia systems, 2) Explainable AI for healthcare, 3) Predictive modeling in stroke rehabilitation. Notable work includes gradient boosting models for social risk prediction and Elo rating systems for personalized therapy. Teaching responsibilities include coordinating modules on Software Engineering, Parallel Computing, and Programming. He actively supervises graduate students and serves on UCD's Equality, Diversity & Inclusion Committee. Awards include the 2019 Best Student Paper Award at International Symposium on Electronic Imaging. He reviews for top conferences (ACM MMSys, IEEE ICIP) and journals (IEEE Access, IEEE Signal Processing Letters).

Daniel DietschView profile

Researcher

• Static Analysis
• Software Model Checking
• Formal Methods
• +3 more

Dr. Daniel Dietsch is a researcher at the Department of Computer Science, Faculty of Engineering, University of Freiburg. He specializes in Static Analysis , Software Model Checking , and Formal Methods , with focus areas including Requirements Engineering, Modeling Processes, and Software Verification. Research Trends : His recent work centers on automated verification tools for software systems, addressing bitwise operations, race conditions, and hybrid models. Key contributions include the Ultimate framework series (Automizer, Kojak, Taipan, GemCutter, Referee) for SV-COMP competitions. Scientific Output : Over 140 publications since 2011, with significant activity in 2024 (53 entries) and 2023 (39 entries). Tools developed by his team are available via GitHub and web interface . Teaching Roles : Regularly instructs courses like Automata Theory , Program Verification , and Cyber-Physical Systems since 2011, including both theoretical and practical components. Collaborations : Works closely with Matthias Heizmann, Frank Schüssele, Dominik Klumpp, and Andreas Podelski on verification technologies.

Hans-Wolfgang LoidlView profile

Associate Professor

• Functional Programming
• Parallel Programming
• Program Analysis
• +7 more

Hans-Wolfgang Loidl is an Associate Professor at the School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh. His primary research areas include functional programming, parallel computation, program analysis, symbolic computation, and high-performance machine learning with applications in embedded systems, FinTech, and health informatics. He leads the dependable systems group and serves as Senior Programme Director for Computer Science, chairing the Undergraduate Board of Studies and leading the 2025 Academic Review. Member of dependable systems group Coordinated SICSA MultiCore Challenge Hosted 2nd International Summer School on Advances in Programming Languages in 2014 He designs and implements programming languages for easy-to-use parallelism (Glasgow Parallel Haskell, Glasgow Distributed Haskell, mobile Haskell) and focuses on formal guarantees for resource bounds. Recent expansions include computer security (Secrious project EP/T017511/1) via serious games, high-performance machine learning for FinTech (BA grant + industry PhD), and Brain-Computer Interfaces (EPSRC proposal). His research output spans 1999–2025, including 64 peer-reviewed publications and 5 datasets. Notable works include articles on parallel Haskell dialects (PAEAN), NUMA performance analysis, unikernel benchmarking, and playful learning exercises for security education. He offers PhD projects in functional programming, parallel programming, and high-performance machine learning applications. His teaching vision emphasizes strategic focus in software engineering education, with courses on industrial programming, hardware-software interfaces, and parallel/distributed technology.

• Computer Science Education
• Computer Networking
• Parallel and Distributed Systems
• +5 more

Mark A. Holliday is a Professor in the Department of Mathematics and Computer Science at Western Carolina University (WCU), part of the College of Arts and Sciences. He holds a Ph.D. (1986) and MS (1982) in Computer Science from the University of Wisconsin-Madison, and a B.A. in Mathematics and Economics from the University of Virginia (1978). His academic roles include serving as Interim Department Head (2007-2009) and Commissioner of the ABET Computing Accreditation Commission (2023-present). Research interests focus on enhancing student learning in computer systems, software development pedagogy, and grid computing concepts. Notable work includes developing memory diagrams for CS1 assessment and creating interactive animations for computer networking education. He has authored over 50 publications in journals like ACM Transactions and IEEE, covering topics such as parallel architecture performance, distributed systems, and educational frameworks. Teaching responsibilities include courses like CS 352 (Programming Languages), CS 453 (Database Systems), and CS 495/496 (Capstone Projects). Holliday’s lab work includes the National Storm Surge Database and the Educational Times Database projects. He actively contributes to curriculum development through initiatives like the Consortium for Distributed Computing Education.

Sascha HunoldView profile

Associate Professor

• Parallel Computing
• High-Performance Computing (HPC)
• MPI Collective Communication
• +4 more

Sascha Hunold is an Associate Professor at TU Wien, affiliated with the Department of Parallel Computing within the Faculty of Informatics. He holds roles as Vice Dean of Academic Affairs for Informatics Bachelor programs and Curriculum Coordinator for the Master's program in High-Performance Computing. His research focuses on parallel computing, MPI optimization, scheduling algorithms, and reproducible HPC experiments. Education: Habilitation (venia docendi) in Computer Science from TU Wien, PhD in Computer Science from the University of Bayreuth, and MSc in Computer Science from Martin Luther University Halle-Wittenberg. Research interests include MPI collective communication performance, HPC benchmarking, algorithm selection, and task scheduling. He has contributed to tools like ReproMPI and Scheduling.jl. Key awards include Best Paper awards at IEEE CLUSTER 2020 and EuroMPI/Asia 2014, and recognition for reproducible research methodologies. His work emphasizes practical applications of parallel computing in large-scale systems. Teaching responsibilities include courses on parallel algorithms, scientific programming with Python, and HPC project supervision. Active in program committees for major conferences like IPDPS and SC.

• Parallel Algorithms
• Parallel Computing
• High-Performance Computing (HPC)
• +4 more

Prof. Jesper Larsson Träff is a Full Professor and Head of the Research Unit in Parallel Computing at Technische Universität Wien (TU Wien). His academic role is centered within the Department of Computer Engineering. He holds an MSc and PhD, and has contributed extensively to the field of parallel computing through his research and leadership in international projects. His research focuses on parallel algorithms, scheduling, and optimization of the Message Passing Interface (MPI), with emphasis on high-performance computing (HPC) systems and distributed architectures. Key projects include the Process Mapping initiative (2019–2024), Autotune (2021–2025), and contributions to Exascale Programming Models. He has also led efforts in evaluating MPI performance tools and their reproducibility challenges. Research Areas: Parallel Algorithms, MPI Optimization, HPC, Process Mapping, Collective Communication, and Memory Models. Notable Achievements: Awarded the Best Paper at EuroMPI 2014 and recognized by the Innovation Radar for his work on PGAS-based MPI interoperability in 2018. Teaching: Teaches courses such as Advanced Multiprocessor Programming, Bachelor/Master Thesis supervision, and seminars in Computer Engineering and Theoretical Computer Science. Prof. Träff’s advising includes students researching topics like lock-free data structures, MPI datatype optimization, and task scheduling. His grants span Austrian and EU funding bodies, addressing challenges in exascale computing and reproducible experimental research. He is affiliated with the Vienna Mapping and Sparse Quadratic Assignment (Vienna Mapping) project and actively contributes to international workshops and conferences.

Nathan CrickView profile

Professor

• Rhetoric
• Political Communication
• Fascism Studies
• +5 more

Nathan Crick is a Professor of Communication at Texas A&M University, specializing in rhetoric and its intersections with power, democracy, and historical contexts. His work bridges classical rhetoric, pragmatism, and contemporary issues like fascism, climate change, and media ecology. Crick earned his PhD from the University of Pittsburgh after studying environmental science and journalism at UMass. He previously taught at LSU before joining TAMU in 2013. His research explores how rhetoric shapes societal structures and democratic practices, with a focus on American pragmatism, classical Greek thought, and modern social movements. Crick’s publications include influential books such as The Way to Hell: Machiavelli for Catastrophic Times (2024), Routledge Handbook on Rhetoric and Power (2024), and The Rhetoric of Fascism (2022). He teaches courses on rhetorical theory, political communication, and public speaking, emphasizing critical engagement with media and democratic processes. Crick also leads study abroad programs in Italy and Ireland to foster global awareness. His scholarly contributions span over 30 years, addressing themes like the Dewey/Lippmann debate in modern media, the rhetorical challenges of climate change, and the enduring relevance of figures like Machiavelli. Crick’s work integrates interdisciplinary perspectives, bridging philosophy, history, and communication studies to analyze power dynamics and civic engagement.

Lewis NtaimoView profile

Professor

• Stochastic Programming
• Optimization Methods
• Healthcare Operations
• +6 more

Dr. Lewis Ntaimo is a Professor and Department Head of Industrial & Systems Engineering at Texas A&M University. He holds a Ph.D. in Systems & Industrial Engineering (with a minor in Electrical & Computer Engineering) from the University of Arizona, alongside M.S. and B.S. degrees in Mining Engineering. His research focuses on stochastic programming, optimization methods, and their applications in healthcare, wildfire management, energy systems, and operations research. Notable awards include the Distinguished Educator Award (2022), INFORMS Computing Society Prize (2015), and the Marilyn and L. David Black Faculty Fellowship (2016). He is a Fellow of the Institute of Industrial and Systems Engineers (IISE). Key contributions include developing stochastic models for wildfire risk mitigation, healthcare scheduling under uncertainty, and carbon capture systems. His work bridges simulation and optimization, exemplified by the DEVS-FIRE wildfire modeling framework and the SIPLIB test problem library. Education: Ph.D., Systems & Industrial Engineering, University of Arizona (2004) M.S., Mining & Geological Engineering, University of Arizona (2000) B.S., Mining Engineering, University of Arizona (1998) Grants & Projects: Includes NSF-funded research on wildfire fuel treatment planning, space surveillance scheduling, and wind energy reliability. Labs/Teams: Leads research in stochastic optimization and discrete event simulation, collaborating on interdisciplinary projects with IISE and INFORMS.

Nikela PapadopoulouView profile

Lecturer

• High-Performance Computing (HPC)
• Energy Efficiency
• Sustainable Computing
• +3 more

Nikela Papadopoulou is a Lecturer (Assistant Professor) in Low Carbon and Sustainable Computing at the University of Glasgow's School of Computing Science. She is affiliated with the GLAsgow Systems Section and focuses on optimizing high-performance computing (HPC) systems for reduced environmental impact, including performance modeling, application optimization, and energy-efficient resource management. Her work also explores co-design strategies for machine learning workloads. Education: PhD in Electrical and Computer Engineering from National Technical University of Athens (NTUA). Postdoctoral research at Chalmers University of Technology (Sweden) and NTUA, contributing to European projects like ACTiCLOUD, EuroEXA, and HiDALGO. Member of ACM and HiPEAC. Research Interests: HPC systems optimization, energy efficiency in computing, sustainable computing practices, machine learning co-design, and parallel algorithm development. Teaching: Currently teaches Systems Programming (COMPSCI4081) and Internet Technology (COMPSCI5012) at the MSc level. Advising: Supervises Shuxuan Li on FPGA-based compiler transformations for sequence models. Active in grant-funded projects related to HPC and sustainable computing. Labs/Teams: Active contributor to the GLAsgow Systems Section, focusing on HPC and low-carbon computing innovations.

Baoze WeiView profile

Associate Professor

• Microgrid Control
• Power Electronics
• Renewable Energy Integration
• +5 more

Baoze Wei is an Associate Professor at Aalborg University's Department of Electric Power Systems and Microgrids, part of the Faculty of Engineering and Science. His research focuses on advanced control strategies for power electronics, microgrid stability, and energy management systems. He leads and collaborates on projects such as the Digital Twin-based Reliability Framework for Aviation Systems and Holistic Optimization of Green Fuel-Powered Microgrids. Key contributions include work on distributed energy systems, fault-tolerant architectures, and predictive maintenance for power electronics. His research emphasizes practical applications in renewable integration, smart grids, and industrial electrification. Wei has supervised one PhD student, Q. He, and contributed to projects funded by entities like Horizon JU and Huawei. Notable collaborations include work on hybrid-electric aircraft systems (HECATE) and advanced control algorithms for distributed converters. His research spans technical areas such as voltage source inverters, uninterruptible power systems (UPS), and DC shipboard microgrids. His publications reflect expertise in model predictive control, energy trading strategies, and condition monitoring. Current research trends include data-driven lifetime prediction for power electronics components and optimization of multi-energy systems. He actively participates in international conferences, contributing to both theoretical advancements and real-world system implementations.