Find Academic Supervisors

Bige UnluturkView profile

Assistant Professor

• Wireless Communication and Networking
• Molecular Communications
• Internet of Bio-NanoThings
• +3 more

Bige Unluturk is an Assistant Professor in the Departments of Electrical and Computer Engineering and Biomedical Engineering at Michigan State University (MSU), with an affiliation at the Institute for Quantitative Health Science & Engineering. She holds a Ph.D. from Georgia Institute of Technology (2020), M.Sc. from Koç University (2013), and B.Sc. from Middle East Technical University (2011). Her research focuses on molecular communication, the Internet of Bio-NanoThings, and their applications in healthcare, including projects like the ARPA-E-funded 'Strong and CO2-Consuming Living Wood' initiative. Education: Ph.D., Electrical & Computer Engineering, Georgia Tech (2020) M.Sc., Electrical & Computer Engineering, Koç University (2013) B.Sc., Electrical & Electronics Engineering, METU (2011) Research Interests: Biologically inspired communication systems Molecular communication networks in biological systems Healthcare applications of bio-nano sensors Wireless communication protocols for biomedical devices Awards: Recipient of NSF Student Travel Grants, Georgia Tech’s Researcher of the Year Award, and Outstanding Graduate Teaching Awards. She has also been recognized as a METU valedictorian and TUBITAK Fellow. Labs & Collaborations: Leads the Unluturk Lab at MSU, collaborating with Purdue University on bio-engineered materials. Previously worked as a postdoc in Dr. Chris Contag’s Lab at IQ and conducted research at Aalto University and the University of Oslo.

• Mechanobiology
• Computational Mechanics
• Soft Matter Physics
• +7 more

Marino Arroyo is a Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Research Center in Numerical Methods in Applied Science and Engineering (LaCàN). He is also associated with CIMNE and the Institute of Bioengineering of Catalunya (IBEC). His work focuses on computational and theoretical modeling of biological systems, particularly epithelial mechanics, active matter, and biomembranes. He holds the Icrea Academia Award, recognizing his contributions to mechanobiology and soft matter physics. Education: PhD in Mechanical Engineering, Northwestern University (2003) BS/MS in Civil Engineering, UPC Postdoc at Caltech with Michael Ortiz (2003-2004) Research Interests: Combines mathematical modeling, mechanics, and computations to study small-scale material behavior and biological systems. Current focus includes cell/tissue mechanobiology, active living materials, and bio-inspired materials. Key themes are nonlinear mechanics of 2D materials (graphene, biomembranes), continuum mechanics, and molecular-to-continuum modeling. Recent Article Trends: Focuses on multiscale epithelial mechanics, active gels, hydraulic fracture in biological systems, and mechanochemical feedback in cellular membranes. Recent work includes modeling curved epithelial shells, nematic patterns in cytoskeletal layers, and shape-programmable living surfaces. Scientific Awards: Icrea Academia Awardee Advising & Grants: Supervised over 20 PhD students, many of whom hold prestigious postdocs or academic positions. Collaborates with experimental groups (e.g., Xavier Trepat, Danijela Vignjevic). Current projects include NIH-funded studies on epithelial mechanics and ERC grants for computational modeling. Labs/Teams: Leads LaCàN's biomaterials group, integrating computational mechanics with experimental biology. Active in interdisciplinary collaborations across UPC, IBEC, and international institutions.

Carme TorrasView profile

Research Professor

• Robotics
• Artificial Intelligence
• Neurocomputing
• +4 more

Carme Torras is a Research Professor at the Institute of Robotics and Industrial Informatics (IRI), a joint center of the Polytechnic University of Catalonia (UPC) and the Spanish National Research Council (CSIC), affiliated with the Faculty of Informatics of Barcelona (FIB). She leads the research group in assistive robotics, focusing on ethical, human-centered robotic systems. With over 400 scientific publications, she has made pioneering contributions in robotics, neurocomputing, and artificial intelligence. PhD in Computer Science – Universitat Politècnica de Catalunya Master in Computer Science – University of Massachusetts Bachelor in Mathematics – University of Barcelona Her research interests span robotics , artificial intelligence , neurocomputing , and ethics in digital technologies . She emphasizes the societal impact of AI, promoting ethical principles and public engagement. Her recent articles and literary works explore human-robot interaction, assistive systems, and the emotional dimensions of technology. The analysis of her recent publications reveals a strong trend toward interdisciplinary research combining technical innovation with ethical reflection. Her work integrates robotics with cognitive science, literature, and social responsibility, emphasizing open science and inclusive design. She advocates for an open laboratory model in assistive robotics to foster collaborative innovation. Nit de la Robòtica Award (2022) Pedrolo Prize for 'La mutación sentimental' Ictineu Prize for 'La mutación sentimental' and 'Enxarxats' Carme Torras has supervised 20 doctoral theses and led 17 European research projects, demonstrating significant leadership in both academic mentoring and large-scale collaborative research. She is deeply involved in science communication, using fiction to explore ethical dilemmas in AI. Her vision includes expanding open-access research infrastructure in robotics. She leads the assistive robotics research group at IRI, which focuses on developing intelligent robotic systems for healthcare and personal assistance. The team emphasizes ethical design, human-robot collaboration, and accessibility, contributing to both technological advancement and societal dialogue.

• Separation Processes
• Reactive Extraction
• Liquid Membrane Technology
• +5 more

Alexandra Cristina Blaga is an Associate Professor at the Faculty of Chemical Engineering and Environmental Protection 'Cristofor Simionescu' of Gheorghe Asachi Technical University of Iași, Romania. Her academic career spans over two decades, with roles including Assistant Professor (2008-2013) and Head of Works (2013-2022) before her current appointment in 2022. Education: PhD in Chemical Engineering (2012), Master in Bioprocesses in Agri-Food (2014), Biochemical Engineering BSc (2004) Her research focuses on unconventional separation processes for biosynthetic products, particularly reactive extraction and liquid membrane transport. She has contributed significantly to improving organic acid biosynthesis using microorganisms and developing biosorbents for environmental applications. Recent publications (2022-2025) highlight her expertise in: Reactive extraction of carboxylic acids using ionic liquids Biosorption of dyes using microbial biomass Green chemistry approaches for natural dye applications Modeling and optimization of separation processes She has directed multiple research projects, including grant TD47/2007 on unconventional extraction processes, and participated in 6 national and 3 international projects. Her editorial contributions include guest editing the Catalysts journal special issue on enzyme engineering.

Roderich GroßView profile

Professor

• swarm robotics
• multi-robot-systems
• modular and reconfigurable robotics
• +1 more

Professor Roderich Groß is a faculty member at Technical University of Darmstadt, where he serves as Head of the RCPS Lab (Robotics, Control, and Physical Systems Laboratory). His extensive research career spans over two decades with publications dating back to 2006, establishing him as a leading figure in swarm robotics. His work appears in top-tier robotics journals including IEEE Transactions on Robotics, Nature Communications, and The International Journal of Robotics Research. Professor Groß's research focuses on swarm robotics, multi-robot systems, modular and reconfigurable robotics, and human-robot interaction. His work explores how groups of relatively simple robots can collectively perform complex tasks through decentralized control mechanisms. He investigates modular systems that can adapt their physical structure to different tasks and develops human-robot interaction paradigms that enable effective collaboration between humans and robot swarms. His research has practical applications in search and rescue, environmental monitoring, construction, and industrial automation. Analysis of Professor Groß's recent publications reveals a clear evolution from foundational swarm behaviors toward increasingly sophisticated applications. His work addresses critical challenges including energy management in robot swarms (CapBot), multi-operator control interfaces, heterogeneous systems for industrial applications, and bio-inspired collective behaviors. His research bridges theoretical swarm intelligence principles with practical implementation on physical robot platforms like Kilobots, with recent work integrating artificial intelligence techniques such as language models for swarm control. As Head of the RCPS Lab, Professor Groß leads a productive research group with extensive international collaborations. The lab works with various robot platforms focusing on both theoretical modeling and practical implementation of swarm behaviors, contributing significantly to advancing the field of swarm robotics from theoretical foundations to real-world applications.

• Cloud Computing
• Container Orchestration
• Cloud-Native Applications
• +4 more

Nane Kratzke is a Professor at Lübeck University of Applied Sciences, specializing in cloud computing and cloud-native applications. His research addresses practical challenges in container orchestration, cloud security, and vendor lock-in for small and medium enterprises. He holds a Diplom in Computer Science and a Doctorate in Natural Sciences, though specific institutions are not documented in available sources. Research interests include cloud-native architecture design, Kubernetes orchestration, moving target defenses for cloud security, and cost modeling of cloud services. His work bridges academic research and industry needs, particularly for SMEs seeking cloud portability through multi-cloud strategies and runtime transferability. Analysis of recent publications (2022-2024) reveals a strategic shift toward AI-driven cloud management techniques like prompt engineering, building on foundational contributions in cloud observability, security mechanisms, and transferability frameworks established between 2016-2021. Key recurring themes include mitigating vendor lock-in and enabling seamless application migration across cloud environments. No scientific awards are documented in the provided information sources. Details regarding graduate student advising, research grants, and laboratory facilities are not specified in current datasets, though his publications on programming assessment tools indicate engagement with computer science education.

Peter VekilovView profile

Professor

• Bioactive Materials
• Amyloid Fibrillization
• Nonclassical Nucleation
• +5 more

Peter Vekilov is the Frank Worley Professor and John and Rebecca Moores Professor in the William A. Brookshire Department of Chemical and Biomolecular Engineering at the University of Houston . A Fellow of the American Physical Society and recipient of the Frank Prize (2023), his work spans biocrystallography, pharmaceutical crystallization, and amyloid research. Education: Ph.D. in Chemistry (Russian Academy of Sciences, 1991), M.S. Summa Cum Laude (Moscow University, 1985) Courses: Biological and Physical Chemistry (CHEE 3466), Classical and Statistical Thermodynamics (CHEE 6335) His research focuses on nonclassical nucleation in biological and organic systems, elucidating mechanisms of amyloid-β fibrillization (Alzheimer's), hematin crystallization (malaria), and polymorph control. His lab employs experimental and computational methods, including AFM and machine learning, to design materials and combat diseases. Recent publications highlight nonclassical pathways in hematin and cholesterol crystallization, synergistic drug interactions, and mesoscopic cluster dynamics. Notable awards include the Francqui International Professorship (2014) and Cullen College Faculty Excellence Award (2021). Scientific Awards: Frank Prize (2023) American Association for Crystal Growth Award (2021) Fellow, American Physical Society (2010) Shubnikov Prize (1986) Students: Manasa Yerragunta Huan-Jui Lee Gary Chen Hariharan Annadurai Hamidreza Azargoshasb

Donald McMillanView profile

Associate Professor

• Human-Computer Interaction
• Conversational Interfaces
• Machine Learning Applications
• +3 more

Donald McMillan is an Associate Professor (Docent) in Human-Computer Interaction at Stockholm University's Department of Computer and Systems Sciences. He is a core member of the Stockholm Technology & Interaction Research (STIR) group, which brings together technologists and social scientists to research and build new digital technologies within the Human-Computer Interaction field. His research focuses on the adoption, adaptation, and use of novel technology in everyday settings, with particular emphasis on expanding the interactional repertoire of conversational interfaces. McMillan investigates how insights from fluid human-human communication can inform the development of better human-computer interaction paradigms through machine learning applications. His work often examines the contextual and social dimensions of technology use in real-world environments. Currently, McMillan serves as Principal Investigator for the Advanced Adaptive Intelligent Systems project, which develops new ways for robots and intelligent agents to understand and adapt to human collaborative work, and the Designing New Speech Interfaces with Ambient Audio project. He is also involved in the Implicit Interaction project. Previous projects include Autonomous Last Mile (developing Extended Reality experiences for human intervention in autonomous vehicle scenarios) and From Tracking to Hacking (exploring how people interact with technology to hack traditional sleep schedules). Advanced Adaptive Intelligent Systems: Developing adaptive interaction frameworks for intelligent systems Designing New Speech Interfaces with Ambient Audio: Expanding conversational capabilities through environmental audio analysis Implicit Interaction: Exploring subtle, background interaction paradigms Autonomous Last Mile: Creating XR experiences for human-robot collaboration scenarios From Tracking to Hacking: Investigating technology adaptation for non-normative sleep patterns His extensive publication record demonstrates deep expertise across multiple HCI domains, with recent work focusing on conversational interfaces, ethical AI considerations, gaze patterns in speech interaction, and contextual wearable technology use. McMillan's research methodology often combines empirical studies of real-world technology use with design implications for future systems, resulting in practical contributions to the field of Human-Computer Interaction.

• Chirality and Stereochemistry
• Separation Science
• Chromatography
• +4 more

Dr. Giulia Mazzoccanti is a Research Fellow at the Department of Chemistry and Drug Technologies, Sapienza University of Rome. She holds a PhD in Pharmaceutical Sciences from Sapienza University of Rome (2018) and an MSc in Pharmaceutical Chemistry and Technology (2015) with top honors. Her academic appointments include her current position as Research Fellow (2021-present), Postdoctoral Researcher at Sapienza University of Rome (2019-2021), and upcoming Visiting Researcher position at CIC biomaGUNE, Spain (Oct 2024-Mar 2025). Dr. Mazzoccanti's research focuses on: Chirality and stereochemistry in natural and synthetic compounds Chiral stationary phases: synthesis and application in UHPLC, UHPSFC Absolute configuration assignment and stereostability of chiral systems Separation and profiling of cannabinoids (CBC, Δ⁹-THC) Functionalized nanomaterials (carbon nanodots) Epimeric peptide impurities in pharmaceutical products Her work demonstrates a strong integration of theoretical and experimental approaches to solve complex problems in separation science and stereochemistry. She has developed advanced techniques for unraveling the complexity of natural substances, ranging from small chiral molecules to large proteins, with particular emphasis on chiral separations using innovative stationary phases. Dr. Mazzoccanti has published 43 peer-reviewed articles (2016-2024) with an H-index of 12 and 506 citations (Scopus, April 2024). Her research has appeared in high-impact journals including Journal of Organic Chemistry, Chirality, Journal of Natural Products, TrAC, Analytical Chemistry, and ChemCatChem. Her publication record shows a consistent trajectory of scholarly output with increasing impact in the fields of chiral separations, natural products chemistry, and pharmaceutical analysis. She has received recognition through invitations to speak at international conferences including HANDS 2024 – International School on Chirality (Como, Italy), Extreme Chromatography Workshop (CNR Rome, 2023), and Global Summit on Catalysis and Chemical Engineering (Rome, 2023). Her scientific service includes: Topic Editor for MDPI journals: Molecules, Biomolecules, Metabolites, Separations Reviewer for journals: RSC Advances, Cannabis and Cannabinoid Research, etc. Member of the Local Scientific Committee – Chirality 2023, Rome Dr. Mazzoccanti is actively involved in research funding as Principal Investigator of two research agreements (2023, 2024) with Fresenius Kabi iPSUM, focused on stereoselective high-performance separations. She also participates in university-funded major research projects such as MACbyMOCC (asymmetric catalysis in flow). Her teaching activities include: Organic Chemistry (in English), 6 CFU, BSc in Molecular Biology, Medicinal Chemistry and Computer Science for Pharmaceutical Applications (48 hours) Organic Chemistry and Natural Products Chemistry, 5 CFU of 9, BSc in Applied Pharmaceutical Sciences (40 hours) Lecture on chiral selector design for enantiodiscrimination for PhD in Chemistry, University of Milan Teaching module titled "Advanced techniques in separation science for unraveling the complexity of natural products and (bio)pharmaceuticals" for PhD in Molecular Design and Characterization for Health

Liam PalmerView profile

Research Professor

• Chemistry
• Self-Assembly
• Supramolecular Materials
• +3 more

Liam Palmer is a Research Professor of Chemistry at Northwestern University and serves as the Director of Research at the Center for Regenerative Nanomedicine. His academic journey began with a PhD in Chemistry from The Scripps Research Institute in 2005. Research Interests : Controlling materials through molecular design Directional intermolecular interactions (peptide hydrogen bonds, π-π stacking) Nano-to-macroscopic scale material engineering Biological and bio-inspired applications Self-assembly of soft materials Organic and hybrid material systems Scientific Contributions : Leading work in supramolecular polymerization pathways Innovations in light-driven actuation systems Developing bioactive nanofiber matrices Exploring ferroelectric properties in hybrid materials Advancing single-cell encapsulation technologies Investigating molecular dynamics in self-assembling systems

Damien CoyleView profile

Professor

• Computational Intelligence
• Artificial Intelligence
• Bio-signal Processing
• +4 more

Professor Damien Coyle is a leading academic at Ulster University , holding the title of Professor of Neurotechnology and serving as Director of the Intelligent Systems Research Centre (2017-2022) and Research Director in the School of Computing, Engineering and Intelligent Systems. He also leads the Cognitive Analytics Research Laboratory (CARL) and directs Ulster’s Spatial Computing and Neurotechnology Innovation Hub (SCANi-hub) . His research focuses on AI-driven brain-computer interface (BCI) development , translating electrophysiological signals into control signals for applications in rehabilitation, diagnostics, assistive communication, and entertainment. With over 190 publications and an h-index of 31, he pioneered wearable neurotechnology through his spinout company NeuroCONCISE Ltd (founded 2016). 2008 IEEE CIS Outstanding Doctoral Dissertation Award 2011 INNS Young Investigator of the Year 2018 IET Innovation Award Over £18m in external grants Co-investigator for Northern Ireland Functional Brain Mapping Facility As a IEEE Senior Member and founder of the International Brain-Computer Interface Society , he bridges academic research with industrial applications through projects like AI for Intelligent Neurotechnology and Smart Nano-Manufacturing Corridor .

• Collective Intelligence
• Robotics
• Animal Behavior
• +4 more

Liang Li is a Group Leader at the Max Planck Institute of Animal Behavior , leading the Embodied Collective Intelligence Lab . Her research bridges biology and robotics to study collective behavior through physical agent-environment interactions. Current position: Group Leader, Department of Collective Behavior Past roles: Project Leader at University of Konstanz and MPI Education: Ph.D. in Robotics and Control, College of Engineering, Peking University Research Interests Dr. Li's work focuses on embodied cognition , swarm intelligence , and fluid dynamics in biological and robotic systems. Key areas include hydrodynamic interactions in fish schooling, bio-inspired robotics design, and translating biological principles into robotic applications. Article Trends : Recent publications emphasize energy efficiency in swimming systems, hydrodynamic modeling for collective behavior, and virtual reality tools for behavioral studies. Interdisciplinary themes span robotics, fluid dynamics, neuroscience, and evolutionary ecology. Collaborations & Grants Her research involves international collaborations with institutions like University of Konstanz and Peking University. Grants include funding for robotic platforms (RoboTwin) and advanced pose estimation tools (DeepPoseKit). Labs & Teams The Embodied Collective Intelligence Lab is a small, interdisciplinary team specializing in bio-robotic systems. The group develops experimental robotic platforms and computational models to decode collective behavior rules.

Candan TamerlerView profile

Professor

• Molecular Biomimetics
• Bio-nanotechnology
• Bio-enabled Materials Science
• +3 more

Dr. Candan Tamerler is a Professor in the Department of Mechanical Engineering at the University of Kansas and Track Director for the Biomaterials & Tissue Engineering graduate program. She also holds the Wesley G. Cramer Professorship and serves as the Associate Vice Chancellor for Research at KU. Current Affiliations Professor, Mechanical Engineering, University of Kansas (since 2013) Track Director, Biomaterials & Tissue Engineering, KU Graduate Program Associate Vice Chancellor for Research, University of Kansas Past Affiliations Research Professor, Materials Science & Engineering, University of Washington Assistant Director, Genetically-Engineered Materials Science & Engineering Center, University of Washington Full Professor, Molecular Biology & Genetics Department, Istanbul Technical University (2002-2010) Visiting Professor, Materials Science & Engineering, University of Washington Dr. Tamerler's research focuses on molecular biomimetics and bio-nanotechnology, developing bio-enabled materials for dental and biomedical applications. Her work bridges molecular biology with materials science to engineer peptide-based interfaces for tissue repair, antimicrobial surfaces, and enzyme immobilization systems. Recent publications highlight her innovations in dental biomaterials, collagen mineralization, and computational design of peptides. Key themes include autonomous strengthening adhesives, bio-nanoreactors, and machine learning approaches to antimicrobial peptide engineering. Scientific Awards Principal Member, Turkish Academy of Sciences Visiting Scientist, University of Westminster Visiting Professor, University of Nagoya Dr. Tamerler has organized international symposia for the American Chemical Society and TMS, and previously founded a multidisciplinary research center at Istanbul Technical University, securing funding for its 40,000 sq. ft. facility.

Hongyan MaView profile

Associate Professor

• Future Cements
• Solid Waste Upcycling
• CO2 Capture and Utilization
• +7 more

Dr. Hongyan Ma is a Kummer Impact Professor, Francisco Benavides Scholar, and Associate Professor at Missouri University of Science and Technology (Missouri S&T). She joined Missouri S&T in 2015 as an Assistant Professor and was promoted to tenured Associate Professor in 2021. Currently directing the Lab of Future Cements and Carbon-negative Initiatives (FuCCI) , Dr. Ma leads research funded by NSF, DOE, DOD, and industry. Her work spans future cements , CO2 mineralization , and critical minerals recovery , with affiliations across multiple departments. Education: Ph.D. in Civil Engineering, The Hong Kong University of Science and Technology, 2013 M.Eng. in Structural Engineering, Shenzhen University, 2008 B.Law. and B.Eng. in Inorganic Non-metallic Materials Engineering, Chongqing University, 2005 Research Interests: Dr. Ma’s work addresses carbon-negative construction materials , focusing on future cements (efficiency strategies, alternative binders), solid waste upcycling , CO2 capture/utilization , thermal energy storage , and nano-biological technologies . Her lab employs advanced materials characterization and multi-scale modeling to enhance concrete durability and develop carbon-negative recovery of critical metals (Ni, Co, Li, Cu). Research Trends: Her recent publications emphasize carbon mineralization , steel slag upcycling , and multi-scale transport modeling , reflecting a strong focus on sustainable construction and industrial waste valorization . Key areas include CO2 sequestration , phosphate cement synthesis , and seawater-resistant concrete . Scientific Awards & Recognitions: Kummer Impact Professorship (2024) Francisco Benavides Scholar (2022) Faculty Excellence Awards (2023, 2020) Top 2% Scientists in 'Building & Construction' (2020–2022) Game Changer Academies Panel Fellow, NSF (2022) Grants & Leadership: Dr. Ma’s research is supported by National Science Foundation , Department of Energy , Department of Defense , and private foundations. She serves on editorial boards, evaluates grants internationally, and leads the FuCCI Lab , integrating multi-disciplinary teams for carbon-negative innovation.

• Artificial Intelligence
• Deep Learning
• Action Recognition in Videos
• +4 more

Catherine Achard is a full Professor at Sorbonne University, affiliated with the RPI-Bio team under Polytech Sorbonne. She has served as Deputy Director at Polytech Sorbonne since 2020 and has been actively involved in research and teaching in artificial intelligence and computer vision. Research Focus: Artificial Intelligence, Deep Learning, Action/Gesture Recognition, Multi-modal Interaction, Person Re-identification Teaching: AI courses at Sorbonne University (M1/M2) and Polytech Sorbonne, Image Processing for L3. Her recent publications (2023-2025) demonstrate expertise in 3D point cloud registration, adaptive virtual agents, and multimodal interaction analysis. Key trends include geometric constraint handling, deep reinforcement learning for action spotting, and biomedical applications of AI. Technical Contributions: Development of RoCNet++ for point cloud registration, ASAP framework for agent adaptation, and SALAD for action detection. Collaborations span robotics, medical imaging, and human-computer interaction projects across international conferences.