Find Academic Supervisors

• Learning Analytics
• Educational Technology
• Open Source Educational Tools
• +3 more

Dr. Arham Muslim serves as a Professor in the Department of Computer Science at the School of Electrical Engineering and Computer Science (SEECs), National University of Sciences and Technology (NUST), Pakistan. He leads the Learning Technologies research group (Informatik 9), directing development of open-source learning analytics infrastructure with emphasis on user-centered design and academic ecosystem integration. His research program focuses on Learning Analytics and Educational Technology , specializing in open learning analytics platforms like OpenLAP. Key contributions include modular framework architectures, rule-based indicator systems, and data modeling standards that enable personalized learning experiences through academic network visualization and adaptive feedback mechanisms. His work bridges software engineering principles with pedagogical requirements in higher education contexts. Publications from 2013-2018 reveal consistent advancement in learning analytics ecosystems, with increasing emphasis on interoperability standards, open-source sustainability, and ethical implementation frameworks. The research trajectory demonstrates progression from foundational data modeling to sophisticated user-centered platform development, addressing critical gaps in educational data utilization. As head of the Learning Technologies research group at SEECs, he drives innovation in educational data systems through collaborative development of OpenLAP and related tools, positioning NUST as a significant contributor to global learning analytics research infrastructure.

Hamed NematiView profile

Assistant Professor

• Security of systems software
• Formal methods and program logics
• Interactive theorem proving
• +2 more

Hamed Nemati is an Assistant Professor at the Division of Network and Systems Engineering under the School of Electrical Engineering and Computer Science at KTH Royal Institute of Technology in Stockholm, Sweden. He was previously a Visiting Assistant Professor at Stanford University and a Research Group Leader at the Helmholtz Center for Information Security (CISPA) , where he also worked as a PostDoc and Research Fellow. Education : PhD in Computer Science from KTH Royal Institute of Technology Research Interests : Security of systems software, formal methods and program logics, interactive theorem proving, machine code analysis, applied machine learning Current Projects : Systematic verification of multi-language security protocols, hardware-software co-design for Spectre mitigation, capability-based access control models Scientific Awards : WASP (Wallenberg AI, Autonomous Systems and Software Program) faculty member Teaching Activities : Formal Methods in Security (Fall 2020-2023) at CISPA/Saarland University Digital Forensics and Incident Response (EP2780) (Fall 2024) at KTH

• Computational physiology
• Software testing, verification and validation
• Computational logic and formal languages
• +2 more

Dr. Weiwei Ai is a Research Fellow at the Auckland Bioengineering Institute , University of Auckland, New Zealand. With a multidisciplinary background in biomedical engineering and computational modeling, he focuses on developing energy-consistent physiological models and closed-loop validation frameworks for implantable medical devices. Education PhD in Bioengineering, University of Auckland (2019) Master of Engineering (ME) in Electrical Engineering, Beijing University of Technology (2005) BSc in Electronic Engineering, Qingdao University (2002) Dr. Ai's research centers on computational physiology and medical device validation , utilizing bond graph formalisms and hybrid automata to create thermodynamically consistent models for glucose transport, cardiac pacemakers, and gastrointestinal systems. His work bridges mathematical modeling with clinical applications through formal verification techniques. His recent publications highlight trends in closed-loop biomedical device design and energy-based physiological modeling , including: (1) bond graph models for SLC transporter dynamics, (2) adaptive respiratory pacemaker frameworks with biofeedback, (3) formal verification of cardiac devices using timed automata, and (4) compositional cyber-physical epidemiology models. He also explores AI-driven integration of digital twins in healthcare through FAIR data principles. Supervision Opportunities : Dr. Ai is an accredited PhD supervisor at the University of Auckland, offering projects on AI-driven energy-based platforms for credible digital twins in healthcare. Labs : Affiliated with the Auckland Bioengineering Institute, focusing on computational models and in-silico validation systems.

• Spectral Analysis of Time Series
• Cointegration Methods
• Bootstrap Applications
• +3 more

Evangelos Ioannidis is an Associate Professor at the Department of Statistics, School of Informatics and Statistics, Athens University of Economics and Business. Born in 1962, he holds a Mathematics PhD from the University of Heidelberg (1993) and has served in his current department since 1999, progressing from Lecturer (1999) to Assistant Professor (2007) and Associate Professor (2023). His expertise spans spectral analysis of time series , cointegration methods , and bootstrap applications in economic data analysis, with additional focus on Official Statistics and sampling techniques . University of Heidelberg: MMath (1987), PhD (1993) Researcher, University of Heidelberg (1987-1991) Visiting Researcher, University of Orsay, Paris Sud (1992-1993) OECD, Paris (1994-1998) National Institute of Labour (1999) His scientific contributions focus on time series econometrics, VAR model spectra, and R&D expenditure analysis. Recent work includes non-parametric spectral estimation and risk-based sampling methodology. He has collaborated with Eurostat on statistical projects (2012-2014). Current affiliations include the Athens University of Economics and Business , where he teaches and conducts research on economic time series analysis and statistical methods.

Lynn KamerlinView profile

Professor

• Computational Biophysics
• Molecular Evolution
• Enzyme Engineering
• +12 more

Lynn Kamerlin is a Professor at the Georgia Institute of Technology and co-leads the Kamerlin Laboratory, which operates across Georgia Tech and Lund University. Her work integrates computational chemistry and biophysics to address fundamental questions in enzyme evolution, catalysis, and protein design. Education MNatSc in Chemistry, University of Birmingham (UK) PhD in Chemistry, University of Birmingham (UK) Her research spans computational biophysics , focusing on mechanistic biochemistry , protein evolution , and enzyme engineering . Key methodologies include machine learning , molecular dynamics simulations , EVB/QM/MM modeling , and natural language models for protein structure prediction. Recent publications highlight trends in AI-driven enzyme design , conformational dynamics , and mechanistic studies of phosphoryl transfer reactions . Tools like WatCon and Q-RepEx demonstrate her commitment to method development in computational biology. Scientific Awards Georgia Research Alliance Eminent Scholar (2022-Present) Wallenberg Scholar (2020-2024) ERC Starting Grant (2012-2017) Wallenberg Academy Fellowship (2014-2019, prolonged 2019-2024) Young Academy of Europe Chair (2014-2015) Fellow of the Royal Society of Chemistry (2017) Her lab collaborates with experimental groups worldwide, leveraging enhanced sampling techniques and structural bioinformatics to engineer enzymes with tailored properties. Grants from the Swedish Research Council and European Research Council underpin her research on enzyme evolution and catalytic mechanisms. Current projects include computational design of thermostable enzymes , allosteric modulators for biomedical targets, and modular protein scaffolds . The lab also investigates non-canonical amino acid incorporation and FAIR data principles in biomolecular simulations.

• Urban Studies
• Public Space
• Urban Governance
• +4 more

Christian Dimmer is an Associate Professor at Waseda University's School of International Liberal Studies , where he teaches courses on urban studies, placemaking, and sustainable cities. Previously, he held academic positions at the University of Tokyo as Assistant Professor and Post-doctoral Researcher. His research focuses on post-disaster urbanism, public space governance, and sustainability transitions. Ph.D. in Urban Engineering from the University of Tokyo (2008) Master's equivalent in Spatial and Environmental Planning from Technical University of Kaiserslautern (2001) Dimmer's research interests span transition design , participatory placemaking , new urban commons , and community resilience . His work examines how urban Japan balances public-private space dynamics and navigates post-disaster rebuilding through participatory approaches. Articles reflect a trajectory from historical critiques of public space to contemporary issues like pandemic spatial protocols and Olympic urbanism, with keywords spanning urban governance , disaster recovery , and collective creativity . Notable scientific awards include the JSPS Post-doctoral Fellowship. He co-founded humanitarian architecture organizations like the Open Architecture Collaborative - Tokyo Chapter and the Alliance for Humanitarian Architecture . Teaching experience covers post-graduate urban design theories, transition design methods, and global urbanism across Japanese institutions.

Oliver KarrasView profile

Lecturer

• Data Science
• Artificial Intelligence
• Knowledge Representation
• +4 more

Oliver Karras is a researcher, data scientist, and lecturer at the Data Science and Digital Libraries research group at TIB – Leibniz Information Centre for Science and Technology. He holds a BSc, MSc, and PhD in Computer Science from Leibniz University Hannover. His research focuses on FAIR scientific knowledge, Open Research Knowledge Graph (ORKG), and national research infrastructure projects like NFDI-4Ing and FAIR-DS. He is a member of the German Informatics Society (GI) and spokesperson of the Requirements Engineering (RE) group, contributing to conferences and journals as a reviewer. Previously, he was a research associate and PhD student in the Software Engineering group at Leibniz University, leading the DFG project ViViReq on video integration in requirements engineering. His research interests include Data Science, AI, Knowledge Representation, Software Engineering, Requirements Engineering, Empirical Research, and Open Science. He has published over 60 papers in these areas, with notable contributions to knowledge graphs, FAIR data, and reproducibility frameworks. His work emphasizes organizing scientific knowledge for accessibility and collaboration across disciplines. He is actively involved in initiatives like the ORKG, promoting sustainable literature reviews and open science practices. His professional contributions extend to tool development, such as OntoAligner for ontology alignment and SciKGTeX for semantic annotation in LaTeX. Oliver Karras collaborates with institutions like Leibniz University, contributing to the NFDI consortium and energy research projects. His expertise bridges technical innovation and academic rigor, addressing challenges in knowledge management and reproducibility. His current roles include advancing TIB’s research infrastructure and fostering interdisciplinary collaboration through knowledge graph applications.

Christof RöhrigView profile

Professor

• Robotics
• Mobile Robotics
• Wireless Sensor Networks
• +3 more

Christof Röhrig is a Professor at the FH Dortmund - University of Applied Sciences and Arts , conducting research at the Institute for the Digitalization of Work and Living Environments (IDiAL). He leads the Intelligent Mobile Systems Lab , focusing on robotics, wireless sensor networks, and kinematic modeling. His research spans mobile robotics , indoor localization , and industrial automation , with a strong emphasis on IoT , 5G networks , and rescue robotics . Key trends in his recent work include LoRaWAN localization , modular robot design , and digital twin architecture . He collaborates extensively on motion control , sensor fusion , and energy-efficient systems , though no specific students, awards, or grants are listed in the provided data. The lab at IDiAL explores robotics in emergency response and industrial IoT applications , with a focus on precision localization and collaborative automation .

• Computational Logic
• Knowledge Representation
• Artificial Intelligence
• +5 more

Professor Kewen Wang is a faculty member in the School of Information and Communication Technology at Griffith University , where he has been actively working in computational logic, knowledge representation, and their applications in artificial intelligence for over 30 years. His research has led to the development of novel logics, computer languages, and systems for knowledge representation and reasoning. Broad research areas: Computational Logic, Knowledge Representation, Artificial Intelligence, Programming, Knowledge Graphs, Explainable AI, Ontology Reasoning, Rule Learning Key contributions: RLvLR (scalable rule learner for KGs), TyRuLe (typed rule learning), Drewer (Datalog+- query engine), ALBERT+CCR (CommonsenseQA model), auction design algorithms His research has been widely cited in top venues like Artificial Intelligence , JAIR , ACM Transactions on Computational Logic , and conferences AAAI (Area Chair 2022-2025), IJCAI , KR . He has secured six ARC Grants (five Discovery, one Linkage) and smaller grants from NICTA, CSIRO, and Griffith University. Editorial roles: Area Chair for AAAI (2022-2025), Associate Editor for Journal of Web Semantics , TGDK Supervision: Has supervised over 15 PhD students including Hong Wu, Peng Xiao, and Pouya Omran Teaching: Courses in Intelligent Systems, Data Structures, Discrete Mathematics, and Robotics

Auke Jan IjspeertView profile

Professor

• Biorobotics
• Computational Neuroscience
• Robotics
• +12 more

Auke Jan Ijspeert is a full professor at the École Polytechnique Fédérale de Lausanne (EPFL), where he serves as head of the Biorobotics Laboratory (BioRob). He holds a primary affiliation with the Institute of Bioengineering and a secondary affiliation with the Institute of Mechanical Engineering. His academic leadership and research excellence have established him as a leading figure in bio-inspired robotics and computational neuroscience. B.Sc./M.Sc. in Physics, École Polytechnique Fédérale de Lausanne (EPFL), 1995 Ph.D. in Artificial Intelligence, University of Edinburgh, 1999 Postdoctoral research at IDSIA/EPFL and University of Southern California (USC) SNF Assistant Professor at EPFL, 2002 Promoted to Associate Professor, October 2009 Promoted to Full Professor, April 2016 His research lies at the intersection of robotics, computational neuroscience, nonlinear dynamical systems, and applied machine learning. He investigates animal locomotion and movement control using numerical simulations and robotic platforms, aiming to understand biological principles and apply them to novel robot designs and controllers. His work has led to groundbreaking robots like the salamander-inspired Pleurobot and amphibious robotic systems. He also explores applications in assistive technologies such as exoskeletons and smart furniture for people with limited mobility. The recent publications reflect a strong trend in bio-inspired robotics, neuromechanical modeling, and the use of robots to understand biological locomotion. Key themes include spinal cord modeling for gait control, amphibious and aquatic locomotion, central pattern generators, and the evolutionary transition from swimming to walking. His work integrates neuroscience, biomechanics, and robotics to create physical models that serve both engineering and scientific discovery purposes. Scientific Awards and Honors: IEEE Fellow (2020) Best Paper Prize, CLAWAR 2019 Best Conference Paper Award, SAB 2018 Best Paper Award, IEEE RO-MAN 2014 Best Paper Award, IEEE Humanoids 2007 Overall Best Paper Award, IEEE ICRA 2002 Young Professorship Award, Swiss National Science Foundation Marie Curie Scholarship, European Commission Auke Ijspeert has been actively involved in academic service, serving as an associate editor for IEEE Transactions on Robotics (2009–2013) and Soft Robotics (2018–2021), and as an associate editor for IEEE Transactions on Medical Robotics and Bionics and the International Journal of Humanoid Robotics. He has secured major funding from the Swiss National Science Foundation, Human Frontier Science Program, European Commission (FP7, H2020), Human Brain Project, and other international agencies. He has organized seven major international conferences and served on over 50 program committees. His laboratory, BioRob, is a hub for interdisciplinary research, training students and researchers in biorobotics, and fostering collaboration across neuroscience, robotics, and biomechanics.

Dimitar JetchevView profile

Professor

• Number Theory
• Arithmetic Geometry
• Mathematical Cryptology
• +2 more

Dimitar Jetchev is a Swiss National Science Foundation Professor in number theory, arithmetic algebraic geometry, and mathematical cryptology at the School of Basic Sciences, EPFL. He leads the GR-JET research group and holds positions in the Mathematics Section (TAN) and SMA-GE unit. University of California at Berkeley, Ph.D. in Mathematics (2008) Harvard University, B.A. in Mathematics (2004) Jetchev's research spans number theory and cryptography, focusing on elliptic curves, Selmer groups, Euler systems, Heegner points, and complexity analysis of cryptologic algorithms. His work bridges pure mathematics and cryptographic applications like ECC and symmetric key protocols. His recent publications analyze isogeny graphs of abelian varieties, discrete logarithm problems in genus 2, equidistribution phenomena, and Euler systems. These works explore connections between automorphic representations, unitary groups, and cryptologic algorithms. Swiss National Science Foundation Professor Jetchev has advised PhD students including Boumasmoud Mohamed Réda, Dudeanu Alina, and Vuille Marius Lorenz. His research group GR-JET collaborates with institutions like IHES and EPFL's LACAL lab. He works on unitary Shimura varieties, special cycles, and their applications to Iwasawa theory and the Bloch-Kato conjecture. The GR-JET group investigates isogeny-based cryptosystems and algorithmic improvements in discrete logarithm computations.

• Orthopedic Implant Design
• Biomechanical Engineering
• Biomaterials
• +5 more

Timothy Wright is a distinguished Professor of Applied Biomechanics in Orthopaedic Surgery at Weill Cornell Medicine and a member of the Cornell University College of Engineering Graduate Field of Biomedical Engineering. His groundbreaking work focuses on enhancing orthopedic implant performance through multidisciplinary approaches integrating biomechanics, radiology, orthopedic surgery, biomaterials , and biomedical engineering . With over 300 peer-reviewed publications, he has pioneered implant systems for knee, hip, and elbow replacements adopted globally. Education : B.S. in Materials Science from Lehigh University (1971), M.S. (1972) and Ph.D. (1976) in Materials Science from Stanford University, followed by a postdoc in Biomechanics at HSS (1977). Dr. Wright’s research spans orthopedic implant design, tribocorrosion in modular connections, bone mechanobiology, post-traumatic arthritis , and additive manufacturing . His recent studies, including 3D-printed implants that enable customized bone fixation, reflect his focus on advanced manufacturing and computational modeling. Articles highlight his expertise in joint kinematics, implant retrieval analysis , and biomaterial wear mechanisms , with applications across hip, knee, and elbow arthroplasty . Key scientific awards include the Alfred R. Shands Jr. MD Award (2013), Director’s Special Citation from the FDA (1997), and the Research Career Development Award (1987-1992) and Whitaker Fellowship (1985). He has served as President of the Orthopaedic Research Society (1992), Coordinating Program Director of the NIH-funded Clinical and Translational Science Center, and co-editor of the Journal of Orthopaedic Research for 18 years. Grants : NIH T32 training program (preceptor), Kellen French Foundation projects (PI/Co-PI), Kirby Foundation’s New Directions in Joint Replacement Design (PI), and NIH UL1 Clinical Translational Science Center (Coordinating Program Director). Laboratories : Department of Biomechanics at HSS, Lab of Molecular Osteoarthritis Research , and Lab of Cartilage and Meniscus Mechanics .

Ryan LeducView profile

Associate Professor

• Discrete-Event Systems
• Supervisory Control
• Fault Tolerance
• +5 more

Dr. Ryan Leduc is an Associate Professor at the Department of Computing and Software within McMaster University's Faculty of Engineering . He holds degrees of B.Eng (Victoria) , M.A.Sc. (Toronto) , and Ph.D. (Toronto) . His research focuses on Discrete-Event Systems (DES) , particularly in Supervisory Control , Hierarchical Structures , Concurrency , and Formal Verification of software and hardware. He has developed the DESpot software tool for hierarchical DES research.

Paula HammondView profile

Professor

• Nanotechnology
• Chemical Engineering
• Drug Delivery
• +12 more

Paula T. Hammond is the David H. Koch Professor of Engineering, head of the Department of Chemical Engineering, and a member of the Koch Institute for Integrative Cancer Research at the Massachusetts Institute of Technology. A pioneer in nanotechnology and polymer science, she develops layer-by-layer (LbL) nanoparticle platforms for cancer therapy, wound healing, vaccine delivery, and synthetic blood substitutes. Her work bridges chemical engineering, materials science, and biomedical applications with a focus on translational research. BS in Chemical Engineering, MIT (1984) MS in Chemical Engineering, Georgia Tech (1988) PhD in Chemical Engineering, MIT (1993) Research Interests : Hammond’s research spans nano-based drug delivery , immunotherapy , biomedical implants , and self-assembling materials . Her lab designs LbL nanoparticles for ovarian cancer , glioblastoma , and intractable cancers , enabling combination therapies (siRNA, proteins, chemotherapy). Recent work includes ML-driven nanoparticle design and two-component hemostatic systems for internal bleeding. Article Trends : Her recent publications (2025) emphasize modular LbL nanoparticles for hematopoietic stem cells , cancer immunostimulation , and multi-drug delivery . Broader keywords include Nanotechnology , Biomaterials , RNA Therapeutics , while sub-fields cover targeted drug release , immune activation , and synthetic oxygen transport . Scientific Awards : National Medal of Technology and Innovation (2024) Othmer Gold Medal (2024) Benjamin Franklin Medal in Chemistry (2024) James R. Killian Faculty Achievement Award (2023-24) MIT Institute Professor (2021) Three-time National Academy member (Sciences, Engineering, Medicine) Advising & Leadership : Hammond has mentored over 60 graduate students and postdocs , co-founded LayerBio, Inc. , and serves on scientific advisory boards for Moderna and Burroughs-Wellcome Fund . She chairs MIT’s Initiative on Faculty Race and Diversity and contributes to national science policy through PCAST. Lab & Collaborations : The Hammond Lab at MIT’s Koch Institute develops LbL nanoparticle systems with applications in cancer, regenerative medicine, and hemostasis. Collaborations include the MIT Institute for Soldier Nanotechnology and partnerships with clinicians, biologists, and engineers.

Mark TibbittView profile

Associate Professor

• Macromolecular Engineering
• Responsive Biomaterials
• Drug Delivery
• +4 more

Mark Tibbitt is an Associate Professor in the Department of Mechanical and Process Engineering at ETH Zürich, where he also serves as Deputy Head of the Department. His research focuses on macromolecular engineering , integrating chemical engineering, synthetic chemistry, and biology to design responsive soft materials for biomedical applications. Key areas include drug delivery, regenerative medicine, and biomaterials with tunable mechanical properties. Education: B.A. in Integrated Science and Mathematics, Northwestern University Ph.D. in Chemical Engineering, University of Colorado Boulder NIH Postdoctoral Fellow, MIT (2013–2017) Research Interests: His lab develops user-programmable materials to study biological processes and solve clinical challenges. Current projects explore stimuli-responsive hydrogels, ex situ organ perfusion, and biomaterials for tissue engineering. The Macromolecular Engineering Laboratory emphasizes interdisciplinary collaboration across engineering, chemistry, and medicine. Labs/Teams: He leads the Macromolecular Engineering Laboratory at ETH Zürich, dedicated to advancing dynamic biomaterials and their clinical translation.