Dr. Vera Gorfinkel is an Associate Professor in the Department of Electrical and Computer Engineering at Stony Brook University. Her research focuses on semiconductor devices, optoelectronics, and quantum technologies. Key areas include single photon detection systems, quantum cascade lasers, and advanced biosensors for DNA sequencing. She has contributed to innovations such as high-sensitivity photon counting modules and multi-color fluorescence detection systems. Her work bridges semiconductor physics with biomedical applications, developing instrumentation for ultra-sensitive molecular analysis. Recent research emphasizes quantum devices for secure communication and next-generation sensor technologies. Over her career, she has published extensively on semiconductor device design, optoelectronic systems, and photonics-driven biomedical solutions. Dr. Gorfinkel’s lab focuses on advancing quantum sensing capabilities through novel semiconductor architectures and high-speed detection systems. Her publications reflect a strong emphasis on practical applications in diagnostics, environmental monitoring, and secure data transmission.
Mustak Erhan Yalcin is a Professor at Istanbul Technical University within the Department of Electronics and Communication Engineering. His research spans hardware security, chaos theory, and signal processing, with a focus on FPGA-based systems, GPS spoofing detection, and image encryption. Key research areas: FPGA, neural networks, hyperchaotic systems, TRNG, GPS security. Recent publications (2023-2024) address encryption designs, spoofing detection, and radiation-tolerant hardware. Active in project leadership, including FPGA-based communication blocks and GPS security systems. Recipient of the 2016 Graduation Design and Project Awards in Electronics-Communication-Biomedical. Contact: yalcinmust@itu.edu.tr
Professor Farzad Amirabdollahian is a Professor of Nutrition and Public Health serving as the Associate Dean and Head of the School of Health and Society at the Faculty of Education, Health and Wellbeing, University of Wolverhampton. This faculty comprises over 12,000 students and approximately 550 FTE academic staff. Previously, he served as Head of the School of Public Health Studies at the University of Wolverhampton, Deputy Head and Assistant Head of the School of Health Sciences, and Subject Head for Nutrition and Biosciences at Liverpool Hope University. BSc in Nutritional Sciences (First Class with Distinction) - Science and Research Campus, Azad University, Tehran, Iran (1999) PhD in Public Health Nutrition - London Metropolitan University, London, UK (2009) Postgraduate Certificate in Higher Education (First Class with Distinction) - Coventry University, Coventry, UK (2010) Professor Amirabdollahian's research spans multiple critical areas in nutrition and public health, with a strong emphasis on practical applications. His work focuses on Public Health Nutrition, Clinical Nutrition and Dietetics, Nutritional Epidemiology, and Exercise and Nutrition Interventions. He has made significant contributions to understanding Cardiometabolic Health through dietary modifications and has conducted extensive research on Health and Wellbeing in Special Populations including athletes, young adults, and diverse ethnic groups. His investigations into Food Quality and Dietary Reformulation have implications for public health policy, particularly regarding small independent food providers. Analysis of his 15 most recent publications reveals a consistent focus on clinical nutrition interventions, particularly examining the effects of dietary modifications on cardiometabolic health markers. His research frequently employs randomized controlled trials and cross-sectional studies with substantial participant numbers (often exceeding 600 participants). There's a strong emphasis on practical applications for aging populations, with multiple studies investigating protein supplementation and exercise interventions for older adults. His work also demonstrates significant attention to sports nutrition, particularly regarding Gaelic football performance and athlete nutrition. Nominated as Nutritionist of the Year 2020 by the Caroline Walker Trust as one of four UK role models for 'Triumph during Adversity' Invited guest at Buckingham Palace Royal Garden Party (2022) by the Department of Education in recognition of 'Service to Education' Merit Award for Exceptional Performance in Improving Students' Learning Experience from Coventry University (2010) Senior Fellow of the Higher Education Academy (2020-Present) Professor Amirabdollahian has supervised over 80 undergraduate and postgraduate research projects throughout his career, demonstrating significant commitment to mentoring the next generation of researchers and professionals in health sciences. His leadership extends to research strategy development where he has played crucial roles in developing KPIs and research strategies for academic institutions. He has successfully led research units, including the first submission of Research Unit of Assessment A6 in REF2021, delivering impactful research case studies. His professional leadership includes serving on the NIHR Integrated Clinical and Practitioner Academic Programme Selection Committee and chairing the Certification Committee for the Association for Nutrition.
Tamara Grava is an Associate Professor at the International School for Advanced Studies (SISSA) in Trieste, Italy, and a Professor at the University of Bristol, UK. Her research focuses on mathematical physics, particularly integrable systems, nonlinear waves, and random matrix theory. She maintains active collaborations between these two prestigious institutions, contributing significantly to both theoretical developments and interdisciplinary applications. Her educational background includes a PhD in Mathematical Physics from SISSA, completed on October 5, 1998, with a thesis titled "On the Cauchy problem for the Whitham equations" under the supervision of Boris Dubrovin. Professor Grava's research spans several interconnected areas in mathematical physics. She investigates integrable systems with random initial data, developing probabilistic Riemann-Hilbert methods to analyze soliton gases and their connections to statistical mechanics. Her work on dispersive nonlinear partial differential equations examines long-time and small-dispersion asymptotics, with particular attention to dispersive shock waves and rogue waves. She also makes significant contributions to random matrix theory, studying special functions, orthogonal polynomials, and their connections to Painlevé equations. Her research often bridges pure mathematics with applications in physics, revealing deep connections between seemingly disparate fields. Analysis of Professor Grava's recent publications (2021-2024) reveals a strong focus on the intersection of integrable systems, random matrix theory, and nonlinear wave phenomena. Her work increasingly explores soliton gases and their statistical properties, connecting microscopic soliton dynamics to macroscopic hydrodynamic descriptions. There's a clear progression toward more complex systems involving random initial conditions and the development of rigorous mathematical frameworks to handle these problems. Her research shows strong interdisciplinary connections between mathematical physics, statistical mechanics, and quantum field theory. Professor Grava actively supervises PhD students including Sacha Grover (Bristol), Dmitrii Rachenkov (SISSA), Xiao-Fan Zhang, Xiaodong Zhu, and Zechuan Zhang. Her editorial work includes service on the boards of Nonlinearity (since 2012), SIAM Journal of Mathematical Analysis (since 2022), Constructive Approximation (since 2023), and the Bulletin and Journal of the London Mathematical Society (starting 2025). She participates in numerous international conferences and workshops, with upcoming engagements in 2025 including events on enumerative combinatorics, integrable systems, and statistical physics at institutions including CIRM, Harvard University, and the MATRIX Institute.
Renato Ferrero is an Associate Professor at the Department of Control and Computer Science (DAUIN), Politecnico di Torino (Polito) , with key roles as contact person for training activities and member of the PIC4SeR Interdepartmental Center for Service Robotics . His research spans Wireless Sensor Networks (WSN) , Internet of Things (IoT) , and Environmental Monitoring , supported by competitive grants like AGRITech Spoke 6 (2022-2025) and MIUR funding (2017). He has published extensively on topics including air pollution monitoring , quantum-inspired security , and agricultural technology , with recent work focusing on deep learning for mask/respirator detection and biofertilizer analysis . As an IEEE Access Associate Editor and program committee member for conferences like COMPSAC and RFID-TA, he contributes to academic governance. His teaching includes Computer Architecture (2019-2025) and Ubiquitous Computing (2019-2021) at Polito. He advises PhD students Chiara Panico and Nicola Dilillo , with projects in Data Science , Computer Vision , and AI Life Sciences .
Professor John Towse is a distinguished academic in the Department of Psychology at Lancaster University, with expertise spanning cognitive psychology, cybercognition, and metascience. His research investigates the intricate relationships between working memory, executive functions, and real-world cognitive performance, as well as the psychological aspects of cybersecurity and software development. His research interests include: Working memory and executive functions - examining how active maintenance of transient information influences cognitive development and skills Cybercognition - studying how cognitive systems interact with online environments and digital interfaces Metascience - exploring ways to enhance research credibility and optimize research processes Psychology of computer security - investigating human factors in secure software development Professor Towse's recent publications reveal a strong focus on the intersection of cognitive psychology and cybersecurity, with particular attention to working memory mechanisms, data sharing practices in psychological research, and cognitive factors influencing susceptibility to email fraud. His work bridges theoretical cognitive science with practical applications in digital security and research methodology. Notable contributions include investigations into theoretical foundations of working memory systems, psychological predictors of vulnerability to cyber fraud, security perceptions among software developers, and ethical frameworks for digital behavioral data research. Professor Towse actively supervises postgraduate research, currently guiding PhD student Matthew Ivory in research related to protecting ordinary people from deepfakes. He has led significant research projects including 'Why Johnny doesn't write secure software? Secure Software development by the masses' (2017-2021), funded by EPSRC with £518,783.44, where he served as Co-Investigator. His professional activities include membership in the Experimental Psychology Society, editorial roles for journals including the Journal of Numerical Cognition and Psychologia, and participation in the ESRC Peer College Review. He also serves on the Expert Group on Open Science (EGOS).
Michael A. Zazanis is a Professor in the Department of Statistics at the Athens University of Economics and Business (AUEB), where he has been a faculty member since 1997. He previously held positions as Assistant Professor at Northwestern University (1986-1993) and Associate Professor at the University of Massachusetts, Amherst (1993-1997). Dr. Zazanis received his Engineering Diploma from the National Technical University of Athens (1982), followed by an M.Sc. (1983) and Ph.D. (1986) in Applied Mathematics from Harvard University. His academic journey reflects a strong foundation in both engineering and theoretical mathematics. His research focuses on Applied Probability, Queueing Systems, Stochastic Simulation, and applications in Manufacturing and Risk Management. Over his career, his work has evolved from foundational perturbation analysis of queueing systems to contemporary research on age-of-information metrics in communication networks. His contributions span theoretical developments in stochastic processes and practical applications in production control systems and risk analysis. Dr. Zazanis has published extensively in leading journals including Journal of Applied Probability, Stochastic Processes and their Applications, Operations Research, Management Science, and Queueing Systems. His 1988 paper in Management Science on perturbation analysis for the M/G/1 queue is considered seminal in the field. Best Publication Award from the TIMS College on Simulation (1990) He has served in administrative roles including Graduate Program Director (2003-2006) and Head of the Statistics Department (2006-2008) at AUEB. Dr. Zazanis teaches undergraduate courses in Mathematical Methods, Stochastic Processes, and Probabilities, as well as graduate courses in Advanced Stochastic Processes and Operations Research. He is married to Corinna Anastassakou and has one son, Aristomenes.
Maciej Huk is an Assistant Professor at Wroclaw University of Science and Technology, working in the Department of Applied Informatics within the Faculty of Information and Communication Technology. He has been affiliated with the university since 2007, previously working in the Department of Artificial Intelligence and Department of Security of Computer Systems before moving to his current department in 2016. His academic credentials include Ph.D. and D.Sc. degrees in Computer Science from Wroclaw University of Technology (2007, magna cum laude) and an M.Sc. Eng. degree in Computer Science (magna cum laude). Dr. Huk's research spans multiple areas of artificial intelligence and computer science, with particular emphasis on contextual systems, artificial neural networks, and machine learning. His work explores contextual neural networks, selective attention mechanisms, genetic algorithms, and ensembles of classifiers. He has developed several research software systems including H2O Snowflake for distributed training of contextual neural networks, CxNNS, GACS for context-sensitive text mining, and DYDO for educational applications. His research bridges theoretical computer science with practical applications in IoT, embedded systems, and robotics. His publication record shows consistent productivity with research spanning from 2006 to the present (2025), demonstrating evolving focus from foundational neural network research to more applied contextual systems. The publication trends indicate a strong specialization in contextual neural networks, with recent work expanding into biomedical applications (CRISPR-Cas9 analysis), educational technology (attendance systems), and energy optimization. His work consistently addresses the challenge of context representation and utilization in machine learning systems. Dr. Huk serves as an Academic Editor for PLOS ONE Journal and Evolving Systems Journal, and has reviewed over 130 papers since 2016 for journals registered in ISI Web of Science. He has been actively involved in the academic community as a program and organization committee member for numerous conferences including ACIIDS (2016-2021), ICCCI (2016-2020), and others. He has chaired special sessions on Intelligent and Contextual Systems at IEEE conferences. His professional activities extend beyond pure academia, including serving as Software Architect/Data Analyses Architect at Gigaset Communications since 2008, and organizing clinical research including the Phase 3 randomized multicenter clinical study NCT04952519 on amantadine treatment for COVID-19 patients. He is certified to organize clinical trials with human subjects through NIH NIAID Good Clinical Practices 2.0.
Tuğrul TAŞCI serves as an Assistant Professor in the Department of Information Systems Engineering at Sakarya University's Faculty of Computer and Information Sciences, where he has maintained continuous academic service since 2001. His career progression includes Research Assistant positions across multiple university units before advancing to his current faculty role in 2016. His academic credentials include: Doctorate in Computer and Information Engineering (2014) from Sakarya University Institute of Science, thesis: Real-Time Motion Tracking with Particle Filtering Based on Data Fusing Master's degree in Computer and Information Engineering (2004) with thesis: Design of an Integrated Web-Based Distance Education System Bachelor's degree in Computer Engineering (2001) with thesis: Course Scheduling with Genetic Algorithms Dr. TAŞCI's research centers on Artificial Intelligence applications, particularly Natural Language Processing for Arabic text and Computer Vision . His work integrates particle filtering , data fusion , and optimization algorithms (e.g., Artificial Bee Colony, Firefly) to solve problems in text summarization, motion tracking, and image processing. Recent publications demonstrate expansion into deep learning for industrial defect detection and time series analysis. Analysis of his 2019-2024 publications reveals three dominant research trajectories: (1) Arabic NLP with focus on extractive summarization using PageRank and word embeddings, (2) Computer vision systems for motion tracking and text detection leveraging particle filters and curvature features, and (3) Hybrid optimization techniques applied to diverse domains from emergency management to customer churn prediction. Current academic advising activities and research grant details are not publicly documented in available sources. Similarly, no institutional laboratories or research teams are explicitly associated with his profile in the provided materials.
Dr. Magdalena Łysakowska is a researcher at the University of Zielona Góra, affiliated with the Department of Computer Science Applications. She teaches courses in linear algebra, logic and set theory, combinatorial analysis, differential geometry, and general algebra. Research focuses on combinatorial geometry (cube partitions, Keller's hypothesis) Nonlinear analysis (Lipschitz maps, fixed point theorems) Stochastic inclusions and multivalued equations Iterative algorithms (Gaussian and Archimedes-Borchardt) Applications of computer science to secure data transmission and software development She participates in Erasmus teaching collaborations, delivering courses at the University of Debrecen (Hungary) and Ilmenau University of Technology (Germany). Her work spans theoretical and applied mathematics, emphasizing geometric structures, functional equations, and computational methods.
Dr. Aditya Japa serves as a Lecturer in Computer Engineering at Ulster University's School of Computing, Engineering and Intelligent Systems, Derry~Londonderry campus. His academic appointment is housed within the Faculty of Computing, Engineering and Built Environment. His research focuses on cutting-edge hardware security solutions, specializing in Physical Unclonable Functions (PUFs), True Random Number Generators (TRNGs), power side-channel analysis countermeasures, secure neural network accelerators, and compute-in-memory security architectures. His work bridges energy efficiency with robust security mechanisms for emerging computing paradigms. Recent publications demonstrate strong thematic consistency in energy-efficient security implementations, particularly through novel transistor technologies like FeFETs and VGSOT-MTJ structures. His work consistently targets SAT attack resilience while optimizing power consumption in logic locking and memory systems. Dr. Japa previously held a Research Fellow position at Queen's University Belfast's Centre for Secure Information Technologies. His educational background includes a PhD in ECE from Dr. SPM IIIT Naya Raipur, India, with dissertation work on Tunnel FET based Energy Efficient Circuit Design for Hardware Security.
Dr. Ernestas Filatovas is a Senior Researcher and Chief Researcher in the Project at Vilnius University's Institute of Data Science and Digital Technologies (formerly Institute of Mathematics and Informatics), where he has been affiliated since 2013. He leads the Blockchain and Quantum Technologies Group, focusing on cutting-edge research at the intersection of quantum computing, blockchain, and artificial intelligence. Previously, he served as an Associate Professor and Lecturer at Vilnius Gediminas Technical University's Faculty of Fundamental Sciences from 2013 to 2019. Dr. Filatovas earned his Doctor of Technology in Computer Science Engineering from Vilnius University Institute of Mathematics and Informatics in 2012. His dissertation, supervised by Prof. Dr. Olga Kurasova, focused on the interactive solution of multi-criteria optimization problems. His research spans multiple high-impact domains, with particular expertise in blockchain technologies, quantum computing, artificial intelligence, and machine learning. He has pioneered work in quantum blockchain implementations, reproducibility of AI research through blockchain verification, and quantum machine learning applications. His research bridges theoretical computer science with practical applications in financial markets, healthcare, and distributed systems. His extensive publication record—over 50 scientific papers, with more than 25 in Clarivate Analytics-indexed journals—demonstrates consistent productivity and international collaboration. Recent work shows a clear trajectory toward quantum-enhanced AI systems, blockchain-based research verification frameworks, and quantum algorithms for practical problems. Laureate of the 4th LMA Young Scientists' Conference (2014) INFOBALT scholarship 2nd place winner (2014) Lithuanian State Science and Studies Foundation funding recipient (2009, 2010) Recognized as one of Lithuania's most active doctoral students Master's degree with honors (2006) Dr. Filatovas leads multiple significant research projects, including the 2021-2024 project 'Solving the problems of reproducibility of scientific research in the field of artificial intelligence using blockchain technologies' as team leader, and the 2023-2027 project 'Development and validation of quantum machine learning methods using prepared datasets' as Chief Researcher. He has also contributed to international collaborations such as the Spanish-funded 'High Performance Solutions for Modern Scientific Computing Challenges' (2019-2021). His popular science contributions, including the VU news portal article 'Quantum Computing: Who and Why?', demonstrate his commitment to science communication. As a key member of Vilnius University's Blockchain and Quantum Technologies Group, Dr. Filatovas contributes to Lithuania's growing reputation in quantum computing research and blockchain innovation, working closely with international collaborators across Europe.
Casey O'Donnell is an Assistant Professor at Michigan State University currently undergoing tenure review. They work at the intersection of Anthropology, Game Studies, and Science and Technology Studies (STS), primarily employed within communication-focused academic units where Game Studies has found disciplinary home. Their research centers on ethnographic investigations of video game developers and industry structures. Research interests emphasize the socio-cultural-political-economic formations within the global video game industry, including critical analysis of 'free-to-play' models, cloud infrastructure impacts on creative labor, and boundary-policing in gaming communities. O'Donnell examines how technological systems like claw machines and random number generators reflect broader capitalist mechanisms through ethnographic engagement with developers. Their scholarly approach bridges academic publishing critique with practical game design experience, highlighted by their MIT Press-published ethnography Developer's Dilemma exploring game developers' secretive work cultures. O'Donnell actively participates in industry events like the Game Developers Conference (GDC) while maintaining CASTAC committee affiliations.
Dr. Samy Missoum is a Professor in the Department of Aerospace and Mechanical Engineering at the University of Arizona's College of Engineering. His academic career spans over two decades with continuous research and teaching contributions in multidisciplinary design optimization, reliability-based design, and computational mechanics. He has maintained an active teaching schedule offering graduate-level courses including Finite Element Methods, Design Optimization, and Advanced Finite Element Analysis through Fall 2025. Dr. Missoum's research focuses on Multidisciplinary Design Optimization, Reliability-Based Design Optimization, Finite Element Analysis, Probabilistic Design, Structural Dynamics, and Aeroelasticity. His work bridges theoretical developments with practical engineering applications, particularly in handling uncertainty in complex systems. He has pioneered approaches using Support Vector Machines for engineering design problems, especially for discontinuous responses and multiple failure modes. His research has significant applications in aerospace structures, mechanical systems, and renewable energy technologies. His recent publications (2022-2024) demonstrate a strong focus on reliability assessment of uncertain systems subjected to random vibrations, stochastic optimization of nonlinear energy sinks, and thermal optimization for concentrated solar power systems. His work employs sophisticated computational approaches including surrogate modeling, multi-fidelity methods, and advanced optimization techniques to address complex engineering problems with uncertainty. Dr. Missoum's scholarly achievements have been recognized through several awards including being named an Associate Fellow of the American Institute of Aeronautics and Astronautics (2017) and receiving the 'Most Helpful to Their College Education' award from AME Seniors (2014). He was also invited as a Professor at Ecole Centrale in Marseille, France during 2021. His research has been consistently supported by grants that enable his work on structural reliability, optimization under uncertainty, and multidisciplinary design. He maintains active collaborations with researchers both nationally and internationally, as evidenced by his co-authored publications with scholars from various institutions. Dr. Missoum leads the CODES Laboratory at the University of Arizona, which focuses on Computational Optimization and Design under uncertainty. The laboratory conducts research on reliability assessment, multidisciplinary design optimization, and development of novel computational methods for engineering design problems with complex constraints and uncertainties.
Rachid Guerraoui is a Moroccan-Swiss computer scientist and Full Professor in the School of Computer and Communication Sciences at EPFL. He is renowned for his significant contributions to distributed and concurrent computing, holding the prestigious Chair in Distributed Computing at the Collège de France (2018-19). As an ACM Fellow (2012) and recipient of the Dahl-Nygaard Senior Prize (2024), his work has shaped both theoretical foundations and practical implementations in distributed systems. Guerraoui earned simultaneous Master's degrees in Computer Engineering from École supérieure d'informatique électronique automatique (ESIEA) and in Computer Science from Pierre and Marie Curie University in 1989. He completed his PhD at Université d'Orsay in 1992 under the supervision of Christian Fluhr, with a dissertation titled "Programmation Répartie par Objets: Études et Propositions." Following postdoctoral research at EPFL, he joined the computer science faculty in 1999 after working at HP Labs and MIT. Guerraoui's research spans distributed computing, concurrent systems, transactional memory, and asynchronous algorithms. His work on establishing theoretical foundations of Transactional Memory, including the concept of opacity, has been highly influential. He has also made significant contributions to scalable information dissemination methods, asynchronous distributed computations, and the mathematical abstraction of indulgence. His research bridges theoretical rigor with practical implementations, as evidenced by systems like SwissTM and STMBench7. His publication record shows a clear evolution from theoretical foundations to practical implementations and broader applications. Early work focused on fundamental problems like consensus and renaming, while more recent publications address machine learning applications and public understanding of AI. The consistent thread throughout his career is a focus on making distributed systems more reliable, efficient, and accessible. Guerraoui has received numerous prestigious awards including: ACM Fellow (2012) ERC Advanced Grant Award (2013) Google Focused Award (2014) Middleware Best Paper Award (2014) Middleware 10-Years Best Paper Award Chair in Distributed Computing, Collège de France (2018-19) Dahl-Nygaard Senior Prize (2024) As an academic advisor, Guerraoui has mentored students including El Mahdi El Mahmdi, with whom he co-created the Wandida project - a collection of educational videos on computer science. His research has been supported by significant grants from the European Research Council and Google. Beyond research, Guerraoui actively participates in public discourse, particularly regarding computer science education and technology policy. Guerraoui leads the Distributed Computing Laboratory (DCL) at EPFL, which focuses on advancing the state of the art in distributed systems. The lab's work spans theoretical foundations, practical implementations, and educational outreach, reflecting Guerraoui's holistic approach to computer science research and education.
