جست‌وجوی استاد و پژوهشگر

• Smart Textiles
• Medical Technologies
• Military Materials
• +۷ مورد دیگر

Georgios Priniotakis is a Full Professor and Head of the Department of Industrial Design and Production Engineering at the University of West Attica in Athens, Greece. He holds a PhD in Textiles Sensors (2005) from Ghent University and a Master's in Fiber Science and Technology from the University of Leeds (1992). His research focuses on smart textiles for medical and military applications, wearable computing, sustainable materials, and industrial production optimization. He leads the lab of Innovative Textile Technologies for Multifunctional Garments and has coordinated numerous EU-funded projects, including TexModa and Smartex. Dr. Priniotakis is an active member of international organizations like AUTEX and COST Action CA17107, and has authored over 350 publications with an H-index of 12 (Google Scholar). His teaching spans courses like Wearable and Affective Computing and Artificial Intelligence , emphasizing sustainability and interdisciplinary collaboration. Education: PhD in Conductive Textiles (Ghent University, 2005) MSc in Fiber Science & Technology (University of Leeds, 1992) Key Roles: National Representative of Greece to EU Research Boards Scientific Director of EU Projects (e.g., Leonardo, Erasmus+, COST) Research interests include electroconductive textiles for medical diagnostics, environmental durability of composite materials, and upcycling industrial waste into functional textiles. His work bridges academia and industry via co-creation methodologies and digital tools for sustainable design. He chairs the AITAE conference and serves as a reviewer for multiple journals. Grants & Projects: Over 20 years of EU-funded projects, including roles as coordinator for TexModa (textile innovation), Texstra (sustainable logistics), and Difme (digital fashion). His labs develop smart garments for emergency response, healthcare monitoring, and ergonomic workplace solutions. Labs & Teams: Leads the Innovative Textile Technologies lab focusing on multifunctional garments, wearable sensors, and eco-friendly production. Collaborates internationally on circular economy initiatives for fibrous composites and technical textiles.

Ivan Trenchevمشاهده پروفایل

دانشیار

• Bioinformatics
• Computer Graphics
• Cybersecurity
• +۳ مورد دیگر

Assoc. Prof. Ivan Trenchev, DSc holds dual roles as an Associate Professor at the University of Library Studies and Information Technologies (ULSIT) (since 2019) in the Department of Information Systems , and at the South-West University "Neofit Rilski" (SWU) (since 2000) in the Department of Electrical Engineering, Electronics and Automation . He earned his PhD in 2006 from SWU on mathematical models of the genetic code and a Doctor of Science (DSc) in 2020 on computer graphics for research visualization. Education & Qualifications: Graduated in Mathematics from SWU (1992–1997). Defended two major theses: "Mathematical models for the study of the optimality of the modern genetic code" (PhD, 2006) and "Computer graphics - a tool for visualization of research in the university information environment" (DSc, 2020). Professional Contributions: Co-founder and long-term head of SWU’s Master’s program in Bioinformatics.曾 served as Deputy Editor-in-Chief of the SWU journal (2011–2014) and Deputy Head of the Center for Contemporary Bioinformatics Research (2013–2018). Active in national/international projects, including leading the "Bioinformatics Research: Protein Folding, Jumping and Prediction of Biological Activity" project funded by the Ministry of Education. Teaching & Mentorship: Teaches courses like Mathematical Foundations of Cybersecurity, Computer Game Development, and Java Programming at both institutions. Coached SWU’s student programming team (2008–2018) and chaired the XXVII Republican Student Programming Olympiad (2015). Research Focus: Bioinformatics, computer graphics for scientific visualization, cybersecurity, and educational technology innovations. Recent work emphasizes mixed reality applications in autism therapy, molecular visualization for drug discovery, and cybersecurity modeling. Affiliations: Member of the Union of Mathematicians in Bulgaria, Union of Scientists, and Bioinformatics World. Involved in Bulgarian and international academic organizations.

• Neural Data Science
• Systems Neuroscience
• Computational Neuroscience
• +۳ مورد دیگر

Benjamin Adric Dunn is an Associate Professor in (Neural) Data Science at NTNU's Department of Mathematical Sciences. Formerly, he held positions as a PhD researcher and postdoc at NTNU's Kavli Institute for Systems Neuroscience, with prior education including an MS in Computational Engineering from Purdue University and a BS in Applied Mathematics from the University of Connecticut. His career also includes industrial experience as a Computational Methods Engineer at Pratt & Whitney, UTC. His research focuses on integrating mathematical and computational approaches to understand neural systems, particularly spatial cognition, grid cells, and topological data analysis in neuroscience. Key contributions include work on toroidal representations in grid cells, posture coding in neocortex, and cohomological feature extraction from neural data. Publications emphasize multidisciplinary methods bridging algebraic topology, statistical physics, and neuroscience. Teaching includes courses like TMA4255 (Applied Statistics) and TMA4285 (Time Series). Outreach activities highlight engagement in scientific communication, including media interviews about posture-coding neurons and grid cell research.

• Colorectal Cancer
• Neuroendocrine Tumors
• MicroRNA Biomarkers
• +۳ مورد دیگر

Eva Hofsli is an Associate Professor at the Department of Clinical and Molecular Medicine , Norwegian University of Science and Technology (NTNU). Her research focuses on molecular oncology, particularly in colorectal and neuroendocrine cancers, with expertise in biomarker discovery and chemotherapy response prediction. Key Research Areas : MicroRNA profiling, tumor genetics, geriatric oncology, and precision medicine. Notable Collaborations : NORDIC NEC study, METIMMOX trial, NORDIC9 clinical trial. Email: eva.hofsli@ntnu.no Article Trends : Recent work emphasizes liquid biopsies for early cancer detection, genetic alterations in treatment outcomes, and integrating geriatric assessments with molecular data in metastatic colorectal cancer.

Ali Eslamiمشاهده پروفایل

دانشیار

• Cyber-Physical Systems
• Machine Learning
• Error Control Coding
• +۷ مورد دیگر

Ali Eslami is an Associate Professor in the Department of Electrical and Computer Engineering at Wichita State University. His research focuses on applying probabilistic methods and machine learning to study complex systems such as gene regulatory networks and cyber-physical systems. He holds a Ph.D. from the University of Massachusetts Amherst and has collaborated with prominent institutions like Duke University and Georgia Tech. His work spans error control coding, IoT design, and resilient network analysis. Education: Ph.D. in Electrical and Computer Engineering, University of Massachusetts Amherst (2013) M.Sc. in Communications Systems & Signal Processing, Sharif University of Technology (2006) B.Sc. in Electrical Engineering, Sharif University of Technology (2004) Research Interests: Probabilistic methods for complex networks Machine learning in cyber-physical systems Error control coding in communications and biological systems Resilience in multi-layer networks IoT and wireless network design Awards: Recipient of the Young Faculty Risk Taker Award (2017) from Wichita State University's Office of Academic Affairs Advising & Collaborations: Advised over a dozen graduate and undergraduate students, many of whom have pursued roles in academia and industry Collaborated with leading researchers at Duke University, Texas A&M, and Georgia Tech Labs & Teams: Leads a research group focused on evolutionary AI and network resilience Team members have presented at conferences and developed projects like Shocker Controls TM

Haifan Wuمشاهده پروفایل

استادیار

• Biochemistry
• Chemical Biology
• Protein Chemistry
• +۵ مورد دیگر

Haifan Wu is an Assistant Professor in the Department of Chemistry and Biochemistry at Wichita State University, serving as Graduate Student Co-Coordinator. His research focuses on chemical biology, protein chemistry, and neurodegenerative diseases, with a strong emphasis on developing novel peptidomimetics and probes for studying protein interactions and aggregation. Dr. Wu’s expertise spans protein engineering, solid-state NMR spectroscopy, and chemical synthesis of bioactive molecules. His work addresses fundamental questions in amyloid fibril formation, RNA biology, and drug design. He has pioneered methods to genetically encode non-canonical amino acids and create cross-linking agents for studying protein complexes. Key research themes include antimicrobial peptidomimetics, Alzheimer’s disease mechanisms, and the development of imaging agents using PET tracers. He has contributed to understanding the structural basis of protein aggregation in neurodegenerative disorders and designed inhibitors targeting amyloid-β and tau proteins. His research group actively engages in interdisciplinary projects, combining organic synthesis, biophysical analysis, and molecular biology to advance translational applications in diagnostics and therapeutics.

• Artificial Intelligence
• Medical Informatics
• Environmental Science
• +۵ مورد دیگر

Prof. Kun Zhang is a Professor in the Department of Computer Science at Xavier University of Louisiana. His interdisciplinary research spans artificial intelligence, medical informatics, environmental science, and biomedical engineering. He focuses on applying machine learning to solve complex problems in healthcare, climate policy, and genomics. Recent work includes AI-driven carbon emission analysis, robotic surgical navigation systems, and genomic studies on prostate cancer disparities. His research integrates computational methods with real-world applications, such as developing algorithms for error localization in programming assignments and watermarking AI-generated text. He has published extensively in top-tier journals, with a strong emphasis on clinical outcomes in orthopedic trauma and thrombosis prevention. Notable contributions include studies on perioperative ultrasound screening for pulmonary embolism prevention and the biomechanical evaluation of fracture fixation devices. His environmental policy work explores green energy transitions and carbon responsibility allocation in Chinese cities. Prof. Zhang collaborates across disciplines to bridge computational innovation with societal impact.

Majid Salimibeniمشاهده پروفایل

پژوهشگر ارشد

• High Performance Computing
• Parallel Computing
• Message Passing in Large-scale HPC systems
• +۶ مورد دیگر

Majid Salimibeni is a PostDoc Researcher and Research Fellow at Vienna University of Technology (TU Wien) , affiliated with the Parallel Computing research unit. He previously held a Postdoc position at the Department of Computer Science at the University of Salerno, Italy (2024), and has been a visiting researcher at TU Wien (2023). Currently based in Vienna, Austria, his work focuses on High Performance Computing (HPC) and its interdisciplinary applications. Education: Ph.D. in Computer Science, University of Salerno, Italy (2020–2024) M.Sc. in Computer Engineering (Software), Shiraz University, Iran (2017–2020) B.Sc. in Computer Engineering (Software), University of Birjand, Iran (2012–2016) Salimibeni's research explores High Performance and Parallel Computing , with a focus on optimizing GPU communication via NCCL , improving energy efficiency in heterogeneous computing environments , and enhancing MPI collective algorithms for large-scale systems. His work bridges HPC infrastructure with emerging applications in Distributed Deep Learning and AI . Recent publications highlight his expertise in GPU frequency scaling , NCCL profiling , and process arrival pattern analysis to improve distributed system performance. These works appear at top conferences like IPDPS , Cluster Computing , and ASHPC . Scientific Awards: Best Paper Award, Bench 2022 Salimibeni contributes to academic committees as a program committee member for IEEE ICPP 2025, ISC 2025, and BigHPC 2024, and serves on artifact evaluation committees for ASPLOS and CF conferences.

• Stem Cell Biology
• Neurodevelopment
• Epigenetics
• +۵ مورد دیگر

Kun-Yong Kim is an Associate Research Scientist in the Genetics Department at Yale School of Medicine. He holds a PhD from the Korea Institute of Science and Technology (2007). His research focuses on stem cell biology, neurodevelopmental processes, and epigenetic regulation. Key areas include X chromosome reactivation during reprogramming, brain organoid engineering, and modeling human diseases using pluripotent stem cells. Research Interests: Development of human brain organoid systems Epigenetic mechanisms in pluripotency and differentiation X chromosome inactivation/reactivation dynamics Stem cell-based disease modeling for neurological disorders Recent Research Trends: His articles emphasize organoid fusion technologies, neuronal dysfunction in addiction models, and transcriptional regulation in pluripotent states. Work on vascularized brain organoids and thalamocortical connectivity represents cutting-edge advancements in neuroengineering. Awards/Grants: No specific awards listed, but active in NIH-funded collaborations through Yale's Jiang Lab. Labs/Teams: Member of the Jiang Lab , specializing in stem cell and developmental biology research.

• Genetics
• Molecular Biology
• Cell Biology
• +۳ مورد دیگر

Alice Sherrard is an Associate Research Scientist in the Department of Genetics at Yale School of Medicine, Yale University. Her research focuses on advancing microscopy techniques for studying molecular structures in intact cells, particularly through nanogold tagging systems and chromatin organization. She collaborates with prominent groups in structural biology and immunology, contributing to high-impact publications in journals like Science and the Biophysical Journal. Key research interests include nanotechnology-based imaging solutions, chromatin dynamics, and immune checkpoint mechanisms. Her work integrates genetic engineering, cryo-electron microscopy, and epigenetic studies to address questions in cell biology and cancer biology. Recent studies have explored the application of nanogold tags for in situ tomography and the role of cholesterol in transcriptional regulation. Her interdisciplinary approach bridges molecular biology, engineering, and clinical applications, with potential implications for cancer therapy and diagnostic tools. No scientific awards are explicitly listed. While no grants or advising roles are detailed in the provided text, her publications suggest active participation in collaborative research networks, including projects with Dr. Joerg Bewersdorf and Dr. Antonio Giraldez.

• Molecular Biology
• Epigenetics
• Neurodegenerative Diseases
• +۳ مورد دیگر

Jyotsna Kumar is an Associate Research Scientist in the Department of Laboratory Medicine at Yale School of Medicine. Her research spans molecular genetics, epigenetics, and neurodegenerative diseases, with a focus on prion toxicity, protein aggregation, and heterochromatin assembly mechanisms. She also contributes to interdisciplinary fields like biomedical engineering and nuclear medicine through studies on radiation dosimetry and accelerator technology. Education and Background: While her specific educational background isn't detailed here, her appointments and publications suggest advanced training in molecular biology, genetics, and engineering disciplines. Research Interests: Dr. Kumar’s work explores the molecular basis of epigenetic regulation, particularly through RNA-DNA interactions and heterochromatin dynamics in fission yeast. She investigates how J-proteins mitigate amyloid toxicity and prion propagation, with implications for neurodegenerative diseases. Additionally, she applies engineering principles to medical diagnostics, including radiation dosimetry for prostate cancer imaging. Key Contributions: Her recent studies highlight innovations in understanding siRNA-DNA hybrid roles in chromatin formation, human antiamyloid chaperones’ protective roles, and RF power distribution in particle accelerators. These contributions bridge basic science and translational applications. Grants and Awards: No specific grants or awards are listed in the provided text. Labs and Teams: Her research likely integrates with Yale School of Medicine’s Laboratory Medicine departmental initiatives, though specific lab affiliations aren’t detailed here.

Bozzoni Ireneمشاهده پروفایل

استاد

• Mechanism and regulation of non coding RNA function in mammalian cells
• Role of non coding RNA in gene expression control
• Long non coding RNA
• +۱ مورد دیگر

Irene Bozzoni is a Full Professor of Molecular Biology at the University of Rome, specializing in non-coding RNA research. Her work explores the regulatory mechanisms of non-coding RNA in mammalian cells, their role in gene expression control, and their therapeutic applications in diseases like Duchenne Muscular Dystrophy. Current: Full Professor of Molecular Biology, University of Rome Past: Associate Professor (1986-1994), Staff Scientist (1980-1986), Research Fellow (1978-1980) at CNR, Rome Her research focuses on long non-coding RNAs, microRNA biogenesis, and RNA-based therapies. Publications highlight RNA-gene interactions, muscle differentiation, and molecular circuitries in diseases. Scientific honors include Accademia Nazionale dei Lincei Prizes (2003, 2006), the Sapienza Ricerca Award (2010), and memberships in EMBO and Academia Europaea.

• Digital Law
• AI Ethics
• Data Protection
• +۶ مورد دیگر

Vera Lúcia Raposo is an Assistant Professor of Law and Technology at NOVA School of Law in Lisbon, Portugal, and a leading researcher at FutureHealthLaw, focusing on health-tech legal frameworks. She is also a master’s supervisor at the University of Hong Kong’s Centre for Medical Ethics and Law and collaborates with National Yang Ming Chiao Tung University School of Law in Taiwan. Previously, she lectured at the University of Macau, University of Coimbra, and University Agostinho Neto, and worked in health law and privacy law at Vieira de Almeida e Associados law firm in Lisbon. Her research spans digital law (AI, data protection, metaverse) and biomedical law (medical liability, gene editing, digital health). She has authored over 100 studies, including indexed journal articles. She is a member of the European Journal of Health Law’s editorial board and frequently speaks at global academic events. Raposo’s work addresses legal challenges in emerging technologies, such as AI ethics, facial recognition governance, and human-chimera legal status. Her 2023 Bristol Fellowship highlights her impactful research. She supervises PhD students and actively participates in conferences, workshops, and policy debates on technology regulation. Her academic qualifications include a Doctorate in Law. She has advised on AI acts, pandemic responses, and digital health governance, contributing to both scholarly and policy-oriented discourse.

Danny Incarnatoمشاهده پروفایل

دانشیار

• RNA Structural Dynamics
• Biochemistry
• Molecular Biology
• +۴ مورد دیگر

Associate Professor at the University of Groningen, Faculty of Science and Engineering, Department of Molecular Genetics. Expertise in RNA structural dynamics, biochemistry, and computational biology. Research focuses on RNA structure probing, dynamics, and their roles in biological processes and drug development. His work spans structural biology, immunology, and molecular mechanisms of RNA function. Research Interests RNA structure and dynamics in health and disease Computational and experimental approaches for RNA analysis Epigenetic regulation and chromatin structure Grants & Awards ERC Consolidator Grant (2023) Labs/Teams Active in the Molecular Genetics department, collaborating on RNA structure and function projects. Scientific Advisor at Ladder Therapeutics.

• Epigenetics
• Gene Regulation
• Innate Immunity
• +۸ مورد دیگر

Mehdi Sharifi Tabar is a Research Fellow at the Centenary Institute , The University of Sydney, focusing on epigenetic gene regulation, chromatin remodeling, and their roles in innate immunity, cancer, and infectious diseases. He combines genetic engineering (CRISPR/Cas9), multi-omics approaches (RNA-Seq, ChIP-Seq, scRNA-Seq), and structural biology (X-ray crystallography, cryo-EM) to dissect molecular mechanisms, supported by in vivo models like transgenic mouse lines. Research Interests : Epigenetic regulation of gene expression Chromatin remodeling in immune responses Protein-protein interactions in cancer Single-cell transcriptomics in disease contexts Structural targeting of protein complexes Epigenetic mechanisms in viral infections Scientific Awards : 2025 James N. Kirby Foundation small grant 2023 Kenyon Foundation Inflammation Award 2022 Sydney Infectious Disease Seed Funding 2021 Centenary Institute Early Career Award 2020 TheCure the Future Award for Scientific Excellence ($5,000) Multiple travel grants and early-career recognitions Research Collaborations : Works extensively with the RaskoLab team and international collaborators, integrating proteomics, transcriptomics, and structural biology to advance understanding of chromatin dynamics and disease mechanisms.