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Itamar WillnerView profile

Professor

• Supramolecular Chemistry
• Nanomaterials
• Biomaterials
• +5 more

Itamar Willner is a distinguished Israeli chemist and Professor at the Hebrew University of Jerusalem who holds significant affiliations with the East China University of Science and Technology. He was appointed as an Honorary Professor in 2007, co-established the Ministry of Education's Joint Laboratory for International Cooperation in Structurally Controlled Molecular Engineering in 2017 as international director, and was appointed an "Internationally Renowned Master Visiting Professor" in 2022. He is a Foreign Academician of the Chinese Academy of Sciences (elected 2021), member of the Israel Academy of Sciences and Humanities (2002), European Academy of Sciences and Arts (2004), and German National Academy of Sciences (2009). Professor Willner's research spans supramolecular chemistry, nanomaterials, and biomaterials, with specific focus on DNA chemical biology and optoelectronic biosensing. His pioneering work includes the construction of bio/nanofunctional self-assembly systems such as DNA molecular machines and logic gates, development of bio-nanocatalytic methods, and the innovative concept of "nucleic acid aptamers" that enhances enzyme-mimicking catalysis. His recent development of "DNA dynamic networks" provides a powerful platform for studying non-equilibrium biomolecular assembly, while his work on artificial photosynthesis systems explores novel energy dissipation mechanisms. His extensive publication record includes over 850 SCI-indexed papers in journals like Nature and Science, with more than 89,000 citations and an H-index of 142. His research has led to significant applications in molecular-supramolecular electronics, intelligent responsive materials, controllable functional interfaces, and optoelectronic/bioelectronic assembly systems, driving innovations in photo/electrochemical probes, drug delivery systems, and molecular machines. His scientific achievements have been recognized with numerous prestigious awards: Israel Prize in Chemistry Rothschild Prize EMET Award (awarded by the Prime Minister of Israel) Israel Chemical Society Gold Medal Professor Willner has served on the editorial boards of nearly 20 major academic journals including JACS, ACIE, Nano Letters, ACS Nano, Small, and ChemPhysChem. His collaborative work with Chinese scholars through the Ministry of Education's Joint Laboratory has established a significant hub for basic research, talent development, and international collaboration in precision chemistry and molecular engineering, bringing together top scientists from China and abroad.

Gérard BerryView profile

Professor

• Computer Science
• Programming Languages
• Formal Verification
• +3 more

Gérard Berry is a Professor at the Collège de France, holding the permanent Algorithms, Machines, and Languages chair since 2012. He previously held the Computer Sciences and Digital Technologies annual chair in 2007-2008 and 2009-2010. He is a member of the Académie des Sciences , Académie des Technologies , and Academia Europaea . His career spans academia at École des Mines de Paris and Inria, and industry as Chief Scientist at Esterel Technologies. His research focuses on formal verification of programs and circuits , parallel and real-time programming , and synchronous programming languages . He created the Esterel language and its industrial compiler, which became foundational for safety-critical systems in avionics and hardware design. His recent work includes the Hop and HipHop languages for multitier web orchestration. His publications highlight trends in formal methods , real-time systems , and program verification . These works bridge theoretical computer science with practical applications in embedded systems and digital transformation. Scientific Awards: CNRS Gold Medal (2014) Chevalier de la Légion d'Honneur (2012) Great Prize of EADS Foundation (2005) Science and Defense Award (1999) Gérard Berry has supervised 17 PhD theses and contributed to numerous academic collaborations. He co-founded Inria's evaluation committee and served on scientific boards for institutions like Institut Pasteur and IRCAM.

Costin BadicaView profile

Professor

• Artificial Intelligence
• Machine Learning
• Blockchain
• +13 more

Costin Badica is a University Professor at the University of Craiova, affiliated with the Faculty of Automatic Control, Computers and Electronics. His research focuses on Artificial Intelligence , Machine Learning , Multi-Agent Systems , and Explainable AI . Position: Professor Location: Office 303, Blvd. Decebal no. 107, Craiova, Romania Contact: costin.badica@ucv.ro Professor Badica's work spans Internet of Things , Blockchain , and Intelligent Distributed Systems , with recent publications on decentralized federated learning , agent-based simulations , and emotional recommender systems . He actively contributes to academic conferences like the Balkan Conference in Informatics . Key research trends include AI explainability in job markets, privacy-preserving algorithms , and optimization of industrial systems . He also explores quantum computing applications and bio-inspired approaches in digital image evolution.

Weihua GuiView profile

Professor

• Industrial automation
• Non-ferrous metal production
• Control theory
• +7 more

Professor Weihua Gui is an Academician of the Chinese Academy of Engineering (elected in November 2013) and a renowned expert in industrial automation of non-ferrous metal production processes at Central South University. He serves as the director of the Engineering Research Center of 'Colored Metallurgical Automation' of the Ministry of Education and leads the National Natural Science Fund for Creative Research Groups. Professor Gui's research focuses on addressing resources, energy, and environmental issues in China's non-ferrous metals industry through advanced control theory, artificial intelligence, and deep learning applications. His work has successfully identified key automation challenges in smelting processes for copper, aluminum, lead, and zinc, leading to practical industrial implementations that have improved efficiency, resource utilization, and environmental performance. His research interests span across several interconnected fields: Industrial automation of non-ferrous metal production Complex process control systems Artificial intelligence and deep learning applications in industrial processes Fault detection and isolation techniques Soft sensor development for industrial monitoring Optimization of metallurgical processes Professor Gui's publication record demonstrates a consistent focus on applying advanced computational methods to industrial process control problems. His recent work (2018-2021) shows a strong emphasis on deep learning techniques for feature extraction, fault diagnosis, and soft sensor modeling in complex industrial processes. The research spans applications in chemical processes, hydrocracking, and non-ferrous metal production, reflecting an evolution from traditional control theory toward integration with modern AI methods. Professor Gui has been recognized with numerous prestigious awards: 3 National Science and Technology Progress Awards 15 provincial and ministerial Scientific and Technological Progress Awards Ho Leung Ho Lee Foundation Science and Technology Progress Award (2009) Hunan Guangzhao Technology Award (2012) China Process Control Technology Contribution Award As the director of the Engineering Research Center of 'Colored Metallurgical Automation,' Professor Gui leads a research team focused on developing innovative automation solutions for the non-ferrous metals industry. His work bridges theoretical advances in control systems and artificial intelligence with practical industrial applications, resulting in significant improvements in process efficiency, resource utilization, and environmental performance. His leadership in this field has established him as a key figure in China's efforts to modernize and optimize its critical non-ferrous metals sector.

Panagiotis NastouView profile

Assistant Professor

• Secure Discrete Systems Modeling
• Graph Theory
• Cryptography
• +5 more

Panagiotis Nastou is an Assistant Professor at the Department of Mathematics , University of the Aegean , with research interests in Secure Discrete Systems Modeling, Graph Theory, Cryptography, Design and Analysis of Algorithms , and Complexity Theory . He has been active in teaching courses such as Discrete Mathematics and Cryptography since 2007 and serves as Director of the Applied Mathematics and Mathematical Modeling Laboratory since 2019. Education : Ph.D., MSc., and BSc. in Computer Engineering and Informatics from Patras University. Membership : Center for Applied Optimization (University of Florida), GDPR TEAM, IEEE, ACM, and Hellenic Technical Chamber. His research bridges theoretical computer science and applied security, focusing on cryptographic protocols, algorithm design, and the application of discrete mathematics to real-world problems. He has contributed to the development of secure systems for critical infrastructure and privacy-preserving frameworks in smart cities. Recent publications (2021-2025) emphasize malware evasion , quantum cryptanalysis , and privacy in IoT environments , utilizing formal methods and combinatorial structures. His work also extends to deep learning for document analysis and consensus algorithms in social networks . He has supervised numerous Master's and undergraduate theses in areas like Zero-Knowledge Proofs , Neural Networks , and Cryptographic Boolean Functions . Administrative roles include representation in the ERASMUS+ program and participation in EU-funded project evaluations.

• Spintronics
• Nanotechnology
• Magnetism
• +4 more

Vito Puliafito is a Full Professor at the Politecnico di Bari, affiliated with the Department of Electromagnetic Fields (ING-IND/31). His research focuses on spintronics, nanotechnology, and unconventional computing, with applications in magnetic solitons, skyrmionics, and neuromorphic systems. His work explores magnetic soliton dynamics , Dzyaloshinskii-Moriya interaction , and micromagnetic modeling of ferromagnetic, ferrimagnetic, and antiferromagnetic materials. Key areas include skyrmion stabilization , spin-transfer torque , and nonlinear oscillator networks for computing. Recent publications highlight trends in skyrmion-based devices , Ising machine architectures , and magnetic tunnel junction sensors . His research bridges fundamental physics and translational applications in nanoscale magnetic systems. For contact, email: vito.puliafito@poliba.it

Helene R. McMurrayView profile

Associate Professor

• Histocompatibility
• Cancer Biology
• Genomics
• +4 more

Helene R. McMurray, Ph.D. serves as Associate Professor in the Department of Pathology and Laboratory Medicine at the University of Rochester School of Medicine and Dentistry. She is co-director of the Tissue Typing / Histocompatibility Laboratory, which provides state-of-the-art compatibility testing for solid organ and stem cell transplantation services. Dr. McMurray is board certified by the American College of Histocompatibility and Immunogenetics (ACHI) and holds a NYS Certificate of Qualification in Histocompatibility. Dr. McMurray's research spans multiple domains including clinical laboratory testing in immunogenetics, cancer biology research, and graduate education. Her laboratory focuses on gene regulatory networks underlying malignant cell transformation, particularly studying 'cooperation response genes' (CRGs) discovered through her work with Dr. Hartmut Land. She collaborates extensively with researchers in cancer genomics, bioinformatics, and histocompatibility testing. Board-certified Fellow of the American College of Histocompatibility and Immunogenetics (F(ACHI)) Active member of the American Society for Histocompatibility and Immunogenetics (ASHI) Accredited laboratory serving active renal, pancreas and cardiac transplant programs Her research publications demonstrate expertise in applying genomics and systems biological approaches to identify critical differences in the gene regulatory architecture of primary and metastatic cancer cells. The work focuses on molecules controlling tumor formation capacity, with applications across multiple human cancers. Dr. McMurray has received numerous awards including the Award for Outstanding CP Didactics Presentation (2021), Career Development Award in Medical Informatics (2017), and the Wilson A. Stone Memorial Award (2008), among others. As an educator, she serves as program director for the PhD in Pathology and teaches multiple graduate courses including Foundations in Modern Biology II, Cancer Biology, Genomics and Systems Biology, and Introduction to Quantitative Biology. She mentors students in the Cell Biology of Disease, Genetics, Development and Stem Cells (GDSC), and Translational Biomedical Sciences (TBS) PhD programs.

Kun-Mao ChaoView profile

Professor

• Algorithms
• Bioinformatics
• Computational Molecular Biology
• +3 more

Kun-Mao Chao is a Full-Time Professor at the Department of Computer Science and Information Engineering, National Taiwan University, where he has held multiple roles since 2002, including Chair Professor and Academician of Academia Sinica. He also serves in the Graduate Institute of Biomedical Electronics and Bioinformatics (2006–present) and holds adjunct appointments at various institutions. Education: PhD in Computer Science, Pennsylvania State University (1993) MS in Computer Engineering, National Chiao Tung University (1987) BS in Computer Engineering, National Chiao Tung University (1985) Research Expertise spans Algorithm Design (applied algorithms, approximation algorithms), Bioinformatics , and Computational Molecular Biology . His work focuses on problems like sequence alignment, spanning tree optimization, and DNA copy number variation analysis, often with interdisciplinary applications in medicine and epidemiology. Recent Publications (2012–2022) include studies on mathematical modeling for influenza vaccination policies , nanocarrier drug delivery systems , and XML database query algorithms , reflecting his diverse interests in both computer science and biomedical applications . Professional Activities: He has served as Editor for Information Processing Letters , PC Co-Chair for IEEE BIBE 2011 and ISAAC 2012, and on advisory committees for numerous conferences (APBC, BIBE, GIW, etc.). Laboratory: Leads the Algorithms and Computational Biology Laboratory at National Taiwan University, mentoring students in cutting-edge research areas.

Michael LaszloView profile

Professor

• Computer Graphics
• Visualization
• Algorithms
• +3 more

Dr. Michael Laszlo is a Professor in the Department of Computing at Nova Southeastern University's College of Computing & Engineering. He holds a Ph.D. in Computer Science from Princeton University and a B.A. in Mathematics from Vassar College. Prior to his academic career, he worked at Bell Laboratories. His research focuses on computer graphics and visualization, algorithms, and programming languages. Key contributions include work on microaggregation for data privacy, optimization algorithms, and evolutionary computation techniques applied to graph and network problems. He has authored multiple books in computer graphics and published in journals like IEEE Transactions and Discrete Applied Mathematics. Dr. Laszlo's recent work explores heuristic methods for Boolean function identification, landmark-based routing in constrained memory environments, and combinatorial puzzle analysis. His research bridges theoretical foundations with practical applications in data privacy, network optimization, and algorithm design. No scientific awards or grants are explicitly listed in the provided materials, though his extensive publication record indicates sustained academic impact. His advising activity remains unspecified, but his educational background includes significant contributions to programming language pedagogy through book publications. He maintains an active presence at NSU since 1994 and is affiliated with the College of Computing & Engineering. Extracurricular interests include swimming, kayaking, running, and hiking.

• Internet of Things
• Machine Learning
• Distributed Systems
• +2 more

Grzegorz Chmaj is Assistant Professor In Residence in Electrical and Computer Engineering at University of Nevada, Las Vegas. His research focuses on intelligent systems for IoT applications. Research emphases include: Machine learning approaches for resilient IoT systems and sensor networks Distributed computing architectures for embedded devices Blockchain applications in energy systems and smart contracts His extensive publication record addresses sensor data restoration, UAV power optimization, hardware teaching tools, and agricultural technology. Recent work explores fault tolerance in RTOS-based IoT systems and parking management solutions using predictive analytics. Chmaj teaches microcontroller programming and systems engineering.

• Pattern Recognition
• Machine Learning
• Computer Vision
• +5 more

Dr. Terry Windeatt is an Associate Tutor in the Department of Electrical and Electronic Engineering at the University of Surrey, where he lectures in Machine Intelligence. He is affiliated with the Centre for Vision, Speech and Signal Processing (CVSSP), one of the world's leading research groups in these fields. His educational background includes a BSc in Applied Science from the University of Sussex, an M.Sc. in Electronic Engineering from the University of California, a B.A. (CNAA) in Theology, and a PhD from the University of Surrey. Prior to joining Surrey, he lectured in Control Engineering at Kingston University and spent eight years in the United States working on Intelligent Systems at General Motors and Xerox Corporation in Rochester, NY. His industrial R&D experience includes modeling and simulation for intelligent automotive and office-copying applications, as well as early versions of closed-loop control systems for car emissions and xerographic processes. Dr. Windeatt's research interests focus on Pattern Recognition, Neural Networks, Computer Vision, and Machine Learning , with particular expertise in Ensemble Classifiers, Error Correcting Output Coding (ECOC), and Feature Selection . His work in facial action unit recognition has made significant contributions to the field of computer vision and biometrics. He has applied these techniques to diverse areas including medical image analysis for breast cancer diagnosis and signal processing applications. An analysis of his recent publications reveals a strong focus on spectral analysis of ensemble classifiers, optimization of ECOC matrices, and innovative approaches to feature selection. His work consistently bridges theoretical developments in machine learning with practical applications in computer vision and pattern recognition. The evolution of his research shows a progression from fundamental classifier design to sophisticated ensemble methods that address real-world challenges in high-dimensional data analysis. His teaching responsibilities include courses in Control Engineering (eee3005) and AI and AI Programming (eeem005), reflecting his expertise in both traditional engineering principles and cutting-edge artificial intelligence techniques. At CVSSP, Dr. Windeatt contributes to the center's mission of advancing research in vision, speech, and signal processing through interdisciplinary collaboration. His work exemplifies the center's commitment to both theoretical innovation and practical application of advanced signal processing techniques.

Adil KhanView profile

Researcher

• Synthetic Biology
• Gene Circuits
• Plant Biology
• +3 more

Dr Adil Khan is a Researcher at the School of Molecular Sciences, The University of Western Australia, affiliated with the ARC Centre for Plant Energy Biology. He holds a PhD in Plant Synthetic Biology (2021) and an MSc in Biotechnology (2014) from ANU. His work focuses on CRISPRi-based circuits for gene expression programming in plants, particularly for space applications. Education: PhD (UWA, 2021), MSc (ANU, 2014), BSc (Hons) (University of Agriculture, Peshawar, 2012) Research Interests: Synthetic Biology, Gene Circuits, CRISPR Technology, Plant Biology Affiliations: ARC Centre for Plant Energy Biology, Prof Ryan Lister's Lab His research advances programmable gene expression in plants using CRISPRi-based systems, addressing challenges in synthetic biology and biotechnology. Recent work includes Boolean gates for genetic circuits and applications in space agriculture. Prizes: 2024 Plant Cell Atlas SynBio Hackathon, SESS, Chancellor's Commendation Activities: Conference participation, journal peer review, public lectures Collaborations span plant synthetic biology, with datasets on genetic computation in plants and synthetic memory circuits. His work aligns with UN Sustainable Development Goals for environmental sustainability and innovation.

Lulu QianView profile

Professor

• Biological Engineering
• Molecular Programming
• DNA Nanotechnology
• +6 more

Lulu Qian is a Professor of Bioengineering at the California Institute of Technology (Caltech), leading the Qian Lab. She holds a B.E. from Southeast University (2002) and a Ph.D. from Shanghai Jiao Tong University (2007). Prior to her current role, she served as an Assistant Professor at Caltech (2013–2018). Her research focuses on designing molecular systems with programmable behaviors, including biochemical circuits, DNA neural networks, and molecular robots. These systems aim to mimic biological intelligence and perform tasks like pattern recognition, decision-making, and spatial organization at the molecular level. Her lab’s key projects include developing DNA strand displacement cascades for scalable computation, creating DNA-based neural networks capable of associative memory, and engineering molecular robots that perform collective tasks like cargo sorting. Notable achievements include the world’s smallest DNA-based Tic-Tac-Toe game, fractal assembly of DNA origami arrays, and a DNA robot capable of sorting molecules. Qian’s work bridges molecular engineering, computer science, and synthetic biology to advance nanotechnology and programmable matter. Her lab actively collaborates with Caltech’s graduate programs in Bioengineering, Computer Science, and Chemical Engineering. Current and past students have contributed to projects ranging from programmable DNA circuits to bio-inspired robotics. The lab emphasizes interdisciplinary training, preparing students for careers in academic research and industry innovation.

Maximilien GadouleauView profile

Associate Professor

• Coding theory
• Network coding
• Information theory
• +13 more

Dr. Maximilien Gadouleau is an Associate Professor in the Department of Computer Science at Durham University, where he has been working since January 2012. He is a member of the Algorithms and Complexity research group, with secondary affiliations in Networks Engineering Science and Theory and Scientific Computing. Dr. Gadouleau received his MSc and PhD in Computer Engineering from Lehigh University in December 2005 and May 2009, respectively. After graduation, he held postdoctoral research positions at Université de Reims Champagne-Ardenne (until May 2010) and Queen Mary, University of London (until December 2011). Dr. Gadouleau's research spans multiple areas of theoretical computer science and discrete mathematics. His work focuses on the intersection of coding theory, network coding, and information theory with various branches of mathematics including combinatorics, graph theory, discrete optimization, matroid theory, logic, and group theory. He also investigates applications to network design, data storage, cryptography, data compression, and computation models. His recent work has particularly emphasized Boolean networks, finite dynamical systems, and semigroup theory. Dr. Gadouleau's extensive publication record demonstrates consistent contributions to theoretical computer science, with recent work showing a growing emphasis on the connections between discrete mathematics, dynamical systems, and coding theory. His research often bridges theoretical foundations with practical applications in network communication and data processing. Carnegie Trust for the Universities of Scotland: Research Assessor (2018) EPSRC Peer Review College member (2017) Dr. Gadouleau has successfully supervised PhD students including Izzy Friedlander (graduated July 2024) and Karl Southern (graduated July 2023). He was awarded an EPSRC first grant titled "Memoryless computation and network coding" which started on October 1, 2013. This grant supported research on computational models without memory and their applications to network coding problems. Dr. Gadouleau is an active member of the academic community, serving on editorial boards for journals including "Design, Codes, and Cryptography," "AIMS Mathematics," and "Mathematics and Systems Science." He regularly participates in international conferences and workshops, particularly in the areas of cellular automata, Boolean networks, and coding theory.

• Multi-agent systems
• Real-Time Systems
• Explainable AI (XAI)
• +5 more

Davide Calvaresi is an Associate Professor at HES-SO Valais-Wallis (University of Applied Sciences and Arts Western Switzerland) in the Engineering and IT school within the Computer Science and Communication Systems department. His research focuses on multi-agent systems , real-time systems , explainable AI (XAI) , and blockchain for trustworthy applications in healthcare and safety-critical domains. Current projects include EXPECTATION (Personalized Explainable AI for decentralized agents) and past projects like Axe Santé 2020 (interdisciplinary health research) and Simulator of multi-agent systems (timing reliability analysis). Collaborations include researchers from University of Bologna, University of Luxembourg, and Ozyegin University. Recent publications focus on swarm intelligence in IoT , ethical AI for aging populations , and explainable health coaching systems Technical contributions include DEXiRE (rule extraction from neural networks), SCoDES (blockchain-based consent management), and HAExA (parsimonious XAI architecture)