Dr. Igor Berinskii is a Senior Lecturer at the Iby and Aladar Fleischman Faculty of Engineering , Tel Aviv University, affiliated with the School of Mechanical Engineering . He leads the Multiscale Mechanics of Solids (MSMS) Lab , focusing on the relationship between microstructure and macroscopic mechanical behavior through analytical and computational methods. His research aims to explain unconventional mechanical properties and predict novel features for engineering applications. 2005 : B.S. (Cum laude) in Applied Mechanics, Peter the Great Polytechnic University 2007 : M.S. (Cum laude) in Applied Mechanics, Peter the Great Polytechnic University 2010 : Ph.D. in Mechanics of Solids, Institute for Problems in Mechanical Engineering, Russian Academy of Sciences His research spans Mechanics of media with microstructure , Cellular materials/Metamaterials , Nanomechanics/NEMS/MEMS , and Micromechanics of fracture . Recent publications highlight work on origami-inspired structures , graphene and MoS2 mechanics , bio-inspired metamaterials , and computational homogenization , with a focus on multiscale modeling and dynamic systems. The MSMS Lab employs HiDRA (Hierarchical Deformable and Rigid Assemblages) for coarse-grained modeling, contributing to advancements in lattice materials and elastic wave propagation.
Prof. Gil Marom is an Associate Professor at the School of Mechanical Engineering within Tel Aviv University's Iby and Aladar Fleischman Faculty of Engineering. He leads the Marom Research Group, focusing on computational multiphysics models and biomechanics to address cardiovascular diseases, spinal cord injuries, and innovative ventilation systems. His research spans: Cardiovascular biomechanics (heart valves, circulatory systems) Computational fluid dynamics and fluid-structure interaction Spinal cord injury mechanisms Biomimetic ventilation systems inspired by biological transport Current projects include mitral valve treatment optimization, placental hemodynamics modeling, and bioinspired ventilation for indoor spaces. Prof. Marom's publications demonstrate consistent focus on computational biomechanics with recent emphasis on: Cardiac device optimization (ventricular expanders, annuloplasty devices) Patient-specific modeling of valvular pathologies Multiphysics approaches to spinal cord injuries Translational applications of fluid dynamics in medical contexts He advises numerous graduate students on projects including: Mitral valve biomechanics Cerebral aneurysm morphology Placental hemodynamics Spinal cord injury multiphysics Biomimetic ventilation systems His laboratory develops advanced computational frameworks to investigate disease mechanisms and therapeutic innovations.
David Bierbach is a Researcher at the Biology and Ecology of Fishes group within the Faculty of Life Sciences at Humboldt University . His work focuses on collective behavior, animal welfare, and evolutionary ecology in aquatic species. Key Research Areas: Collective decision-making in fish shoals Behavioral plasticity in clonal and sexual fish species Environmental stress responses and adaptations Science of Intelligence Cluster collaborations Methodological Innovations: Use of biomimetic robots in studying social behavior Development of standardized fish husbandry protocols Current Projects: Thermal tolerance in extremophile fish Predator avoidance dynamics in collective systems Behavioral individuality in clonal vertebrates In recent publications (2024-2025), Bierbach's research spans fish social networks, aquaculture standards, and computational modeling of collective behavior. His work emphasizes interdisciplinary approaches combining biology with robotics and data science to advance both ecological understanding and animal welfare practices.
Prof. Dr. Pawel Romanczuk is a faculty member at Humboldt University's Faculty of Life Sciences, Institute of Biology, where he leads research in complexity science and adaptive systems. His work bridges biological collective behavior with robotics and computational modeling. Research Focus: Collective decision-making, swarming dynamics, animal behavior, and bio-inspired robotics Key Collaborations: Interdisciplinary work with robotics, physics, and ecological modeling His recent publications explore metric-free alignment in active matter, human-swarm interaction , and escape cascades in biological systems. He investigates how network topology influences decision-making and studies vision-based navigation algorithms. Scientific trends include: Understanding phase transitions in animal collective behavior Developing biomimetic robots for experimental studies Modeling social contagion in multi-agent systems
Yang Yang is an Associate Professor in the Department of Computational Mathematics, Science and Engineering at Michigan State University. Their research bridges inverse problem theory with computational innovation for medical and geophysical imaging technologies. Ph.D. in Mathematics (2014), University of Washington B.S. in Mathematics (2009), Zhejiang University Research Focus : Theoretical development of inverse boundary value problems in acoustics, optics, and elasticity using PDE theory, microlocal analysis, and differential geometry Geometric inverse problems for metric and vector field identification in Riemannian/Lorentzian geometries Algorithm design for tomographic reconstruction with applications in Ultrasound Computed Tomography, Photoacoustic Tomography, and Optical Tomography Scientific Contributions : NSF CAREER award recipient (2023) Developed non-iterative boundary control algorithms for acoustic inverse problems Established uniqueness/stability results for transversely isotropic perturbations in elasticity Created mathematically-justified imaging algorithms for media with unknown acoustic properties Publication Trends : Recent work focuses on conscious learning frameworks to address post-selection misconduct in AI, emergent Turing machines for autonomous programming, and ethical implications of deep learning's performance data. These align with their core expertise in inverse problem analysis and computational innovation.
Tess Homan is an Assistant Professor at the Power & Flow group within the Department of Mechanical Engineering at Eindhoven University of Technology (TU/e). Her research focuses on fundamental fluid dynamics , with an emphasis on data analysis and experimental techniques to study fluid-particle flows , bubbly flows , and biological systems . She is also involved in the Complex Multiphase Flows theme at TU/e. Research Trends: Articles span microfluidic mixing , metal particle combustion , and deep learning applications in fluid dynamics. Key subfields include artificial cilia dynamics , hyperspectral thermometry , and hydrogen-based metal regeneration . Scientific Contributions: Developed low-cost deep learning segmentation for bubble detection in industrial processes Advanced high-speed imaging techniques to analyze metal dust flames Investigated metachronal wave programming for fluid control in artificial cilia systems Education & Outreach: Teaches Experimentation for Mechanical Engineering and MATLAB Homologatie at TU/e.
Dr. Hamdan Awan serves as an Assistant Lecturer in the Department of Computer Science at Munster Technological University (MTU), Cork, Ireland, a position held since January 2022, and is an Associate Investigator at the CONNECT Centre. Previously, he held postdoctoral roles at South East Technological University (SETU), Waterford, and York University, Canada. Education: PhD in Computer Science and Engineering, University of New South Wales, Sydney, Australia Research Interests: His work bridges communication technologies with healthcare applications, focusing on: Internet of Things (IoT) Molecular Communication Networks Biologically Inspired Communications AI-based Communications Healthcare Applications Scientific Awards: Best Paper Award at IEEE/ACM Nanocom 2018 Advising and Service: Mentored 6 PhD and Master's students across institutions. Active in academic service as reviewer for IEEE/ACM venues, TPC co-chair for MolCom Workshop 2022, and current symposium chair for the Molecular, Biological, and Multi-Scale Communication Track at IEEE ICC 2024. Contributed to FET Open Projects Gladiator and Prime exploring molecular communication in health science, affiliated with the Dependable Networks research group.
Dr. Christopher Bunick is an Associate Professor at Yale School of Medicine, Department of Dermatology, with a focus on structural biology and translational research. He combines clinical practice with groundbreaking work in atomic resolution dermatology , using x-ray crystallography and cryo-EM to study skin barrier proteins and therapeutic mechanisms. Education: BS in Molecular Biology & Mathematics (Vanderbilt, 2000); MD/PhD (Vanderbilt, 2008) Clinical: General dermatology, surgery, and patient care in Middlebury, CT Research: Skin barrier integrity, keratin structures, acne pathogenesis, and drug development His lab investigates intermediate filament assembly , keratinopathies , and TYK2 inhibitors , funded by NIH/NIAMS and Almirall. 2025 publications span topics from benzene contamination in topical products to space-inspired cancer research. Scientific Awards: Young Investigator Award (AAD, 2017) Career Development Awards (Dermatology Foundation, 2013-2015) Bayer Lindau Fellow (2014) Lab: Hosts medical students, graduate researchers, and postdocs in a collaborative environment.
Gerrit van Lenthe is a Professor at the Faculty of Engineering Sciences , KU Leuven , specializing in biomechanics within the Department of Mechanical Engineering . He leads the Biomechanics (BMe) department and serves as a contact person for its research activities. Research Focus: Biomechanics, biomedical engineering, finite element analysis, and medical imaging applications for bone and joint diseases. Projects: Promotor for initiatives like INSPIRE (osteoporotic pelvic fractures), KNEE-ADAPT (osteoarthritis modeling), and FIBEr (biomechanical tissue characterization under MDR compliance. Collaborations: Active in the iSi Health institute and POC Biomedical Engineering networks. Technologies: Expertise in photon-counting CT, laser powder bed fusion (LPBF) for implants, and computational modeling of bone-cartilage interfaces. Labs: FIBEr center at KU Leuven focuses on mechanical characterization of biological tissues and biomaterials aligned with EU Medical Device Regulation (MDR).
Dr. Stevin Gehrke is a Professor in the Department of Chemical and Petroleum Engineering at the University of Kansas , where he leads the KU Hydrogel Lab . His research focuses on hydrogels , biomimetic materials , and biomedical applications , with expertise in drug delivery , tissue engineering , and protein-based biomaterials . Education: B.S. in Chemical Engineering, Kansas State University M.S. and Ph.D. in Chemical Engineering, University of Minnesota Research Themes: Environmentally responsive hydrogels for pharmaceutical and biotechnology applications Biosynthesis of artificial proteins for tissue engineering via genetic engineering Advanced polymer characterization techniques (NMR, QCM-D, rheology) Biomechanical studies of insect cuticle for bioinspired material design Development of novel hydrogel coatings for medical devices Publication Trends: Recent work emphasizes biomimetic hydrogel design for cartilage regeneration Key innovations in nanoparticle-reinforced hydrogels and 3D bioprinting Long-standing contributions to responsive hydrogel kinetics and protein separation techniques Labs & Collaborations: Directs the KU Hydrogel Lab for advanced biomaterials research Collaborates with agricultural, medical, and international institutions (Sweden, Japan, Brazil)
Professor Gerhard Bringmann is a distinguished academic at the University of Würzburg, Germany, where he serves as Professor of Organic Chemistry in the Faculty of Chemistry and Pharmacy. His research group focuses on bioactive compounds from nature, particularly exploring natural products chemistry with structural, biosynthetic, and pharmacological facets. With decades of commitment to research, teaching and academic self-administration, Prof. Bringmann has received high distinctions including the Federal Cross of Merit and the Medal Bene Merenti in Gold from the University of Würzburg for his extraordinary humanitarian commitment, outstanding scholarship achievements, and particular merits to the University. Prof. Bringmann's research interests span multiple disciplines within natural products chemistry. His group applies novel efficient methods of analytical, synthetic, computational, and medicinal chemistry to investigate stereochemical questions of stereogenic centers (C- or N-based), axes (C,C or C,N, sp 2 -sp 2 or sp 2 -sp 3 ), of chiral 'planes' or helices, both analytically and synthetically. They specialize in the search for novel antiparasitic, antileukemic, and anticancer natural products from tropical plants, with particular focus on elucidating their full absolute stereostructures. The group has developed innovative synthetic approaches, including the 'lactone method' for atropo-selective construction of highly hindered axially chiral biaryl and hetero-biaryl systems of any desired configuration. Prof. Bringmann's extensive publication record (over 800 publications as of 2025) reflects his leadership in the field of naphthylisoquinoline alkaloids and related natural products. His recent work shows a strong trend toward pharmacological applications, with numerous studies on antiparasitic, anticancer, and anti-inflammatory compounds. His group frequently employs interdisciplinary approaches combining natural product isolation, synthetic chemistry, computational methods, and biological testing to develop novel therapeutic agents, with particular emphasis on antiparasitic, antileukemic, and anticancer compounds. Federal Cross of Merit from Bavarian Minister of Science Bernd Sibler Medal Bene Merenti in Gold from the University of Würzburg Recognition for more than 700 publications and patents Prof. Bringmann has mentored numerous doctoral students and postdoctoral researchers, many of whom have gone on to successful careers in academia and industry. His group maintains active collaborations with international partners, particularly in the Democratic Republic of Congo, where he has contributed significantly to the development of higher education through the BEBUC program (Bila elimu hakuna maendeleo na amani - Without education no prosperity and peace). The Bringmann Group operates state-of-the-art laboratories for natural product isolation, structural analysis, and synthetic chemistry, with specialized equipment for stereochemical analysis and biological testing.
Frank Kirchner is a Professor at the Faculty of Mathematics and Computer Science of the University of Bremen and Executive Director of the Robotics Innovation Center at DFKI Bremen since 2008. He holds a chair for Robotics and leads a team of over 100 employees. Kirchner is also a Research Fellow at Tsinghua University and a member of the Berlin-Brandenburg Academy of Sciences and Humanities. Education: Diploma in Informatics and Neurobiology (1994), University of Bonn Doctorate (Dr. rer. nat) in Computer Science (1999), University of Bonn Research Interests: Kirchner specializes in biologically inspired behavior and motion sequences for highly redundant, multifunctional robot systems. His work spans soft robotics, space robotics, and human-centered robotic systems, with recent projects like AI-REEFSHIELD (AI for marine restoration monitoring) and FieldCoBots (collaborative field robotics for strawberry harvesting). He integrates generative AI (e.g., ActGPT) and quantum control methods into robotics, pushing the boundaries of autonomous systems. Scientific Contributions: With over 350 publications and leadership in initiatives like the German Softrobotics Priority Program and the Brazilian Institute of Robotics, Kirchner bridges robotics, AI, and interdisciplinary applications. His 15 most recent papers highlight trends in robotic design, quantum control algorithms, and planetary exploration. Awards & Memberships: Honorary Doctorate from SENAI CIMATEC, Brazil (2017) Research Fellow, Tsinghua University (2018) Member, Berlin-Brandenburg Academy of Sciences and Humanities (2015–) Committee member, Leopoldina (2021–) Academic Leadership: Kirchner has founded institutes like MarTech (maritime technologies) and Ground Truth Robotics, and co-founded journals like the International Journal of Advanced Robotic Systems. He oversees projects funded by the EU, DFG, and national agencies, with a focus on security-relevant research and hostile-to-life environments.
Benjamin Wheatley is an Associate Professor of Mechanical Engineering at Bucknell University, where he leads the Mechanics and Modeling of Orthopaedic Tissues Laboratory (MMOT Lab) . His research integrates experimental and computational biomechanics to understand soft-tissue and musculoskeletal mechanics, with applications spanning orthopaedics, rehabilitation engineering, and bio-inspired design. Education B.S. in Engineering, Trinity College, 2011 Ph.D. in Mechanical Engineering, Colorado State University, 2017 Research Interests Wheatley’s work centers on finite-element modeling and experimental characterization of biological soft tissues, particularly skeletal muscle, tendon, and bone. He investigates structure–function relationships in orthopaedic tissues, neuromuscular biomechanics, and bio-inspired protective structures such as bighorn sheep horns. Applications include improving prosthetic gait, understanding knee-joint loading, and designing impact-mitigating materials. Publication Trends Across more than 30 peer-reviewed articles since 2015, Wheatley’s scholarship exhibits two dominant trajectories: (1) high-fidelity computational modeling of skeletal muscle and orthopaedic tissues under multiaxial loading, and (2) experimental biomechanics studies combining motion capture, EMG, imaging, and mechanical testing. Recent work increasingly couples optimal-control theory with gait simulations to predict clinical outcomes for individuals with limb loss. Scientific Awards & Honors (none explicitly listed in provided text) Advising & Funding Wheatley actively mentors undergraduate and graduate researchers in the MMOT Lab; interested students are invited to attend weekly lab meetings after contacting him via email. Grant and funding details are not provided in the supplied text. Laboratory & Team He directs the Mechanics and Modeling of Orthopaedic Tissues Laboratory located in Academic East 302, Bucknell University. The lab emphasizes student-led collaborative research that bridges mechanical engineering, orthopaedics, and biology.
Isabel Maria Pinto Ramos is an Associate Professor with Habilitation at the Department of Information Systems, School of Engineering, University of Minho , where she leads the ISTTOS R&D Lab and contributes to the Algoritmi Research Centre . She has held leadership roles including Head of Department of Information Systems and President of the Portuguese Association for Information Systems . Her career spans academic, research, and international collaboration roles, including a Visiting International Professor position at the University of Münster, Germany. Academic Leadership : Doctoral Programme Director (2014-2019), IFIP TC8 Chair (2019-2023), Vice President for Membership Services at Association for Information Systems (2022-2025) Research Themes : Innovation management, knowledge systems, digital transformation, crowdsourcing, organizational memory, gender in STEM, and technology's socio-cultural impacts International Engagement : Collaborations with Carnegie-Mellon, University of Agder, Georgia State, and Federal University of Santa Catarina through research projects and mobilities Scientific Recognition : IFIP Outstanding Service Award (2009) IFIP Silver Core Award (2013) IIAKM Lifetime Academic Achievement (2021) Editorial Contributions : Associate Editor for Communications of the AIS (since 2020), editorial board member for Enterprise Information Systems , International Journal of Knowledge Engineering , and Revista de Administração Mackenzie Project Involvement : ERASMUS+, Horizon 2020, FP7 programs with focus on digital workplaces, knowledge management, and organizational resilience Her scientific output demonstrates consistent exploration at the intersection of Information Systems and Organizational Innovation , with recent works focusing on Digital Transformation (2021-2025), Crowdsourcing Platforms (2009-2016), and Organizational Memory (2005-2014). The 2023-2025 publications particularly emphasize Smart City Resilience , Multigenerational Workforce Challenges , and AI Development Democratization .
Håvard Jenssen is a Professor in the Department of Chemistry at the University of Oslo, specializing in bioactive peptides and peptidomimetics within the Section for Chemical Life Sciences (Biomolecules, Bio-inspired Materials and Bioanalytics). His research focuses on antimicrobial applications against drug-resistant pathogens, with laboratory space in room Ø 202 at Sem Sælands vei 26. His primary research encompasses the design, synthesis, and mechanistic study of antimicrobial peptides and peptidomimetics targeting WHO priority pathogens including Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Candida auris. He investigates structure-activity relationships, membrane interactions, and resistance mechanisms using chemical biology, biophysical methods, and biological assays. His work bridges chemical synthesis with therapeutic applications in infectious disease. Recent publications (2024-2025) reveal dual research trajectories: antimicrobial peptoid development against multidrug-resistant pathogens and AI-driven medical imaging for hepatic vessel segmentation. This demonstrates an evolution from foundational anti-HSV peptide studies (2004-2006) toward broader antimicrobial applications and interdisciplinary collaboration with medical researchers. He actively participates in the Bio3 - Chemical Life Sciences research group at the University of Oslo, fostering collaborative work in chemical biology, biomolecular sciences, and translational research with clinical applications.
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