Enrique de la Hoz de la Hoz is an Associate Professor at the Department of Automática, University of Alcalá, Spain. His research focuses on Network Security, Telecommunications, and Multi-Agent Systems. He holds a PhD from the University of Alcalá (2017), with a thesis on consensus policy applications in complex negotiations. His work spans Wi-Fi channel optimization, IoT security frameworks, and critical infrastructure resilience using graph theory and multi-agent negotiation techniques. He leads the NetIS research group (Networks and Intelligent Systems), addressing challenges in network resource allocation and secure communication protocols. Key research areas include: Application of graph coloring to Wi-Fi channel assignment and network resilience Multi-Agent systems for distributed decision-making in smart environments Cybersecurity for IoT and critical infrastructure protection Optimization of traffic light systems using intelligent agent coordination His recent work emphasizes reactive resilience mechanisms (e.g., REACT framework) and surgical immunization strategies against network attacks. He has contributed to standards like SDN-based secure routing and access control models for IoT environments. His research methodologies combine theoretical graph theory with practical implementations in real-world network scenarios.
Daniel Carruth is the Associate Director for Advanced Vehicle Systems at the Center for Advanced Vehicular Systems (CAVS) and an Associate Research Professor at Mississippi State University. Education: B.S. in Computer Science and Engineering (2001), Ph.D. in Psychology (2008) from Mississippi State University Research Leadership: Co-chair of NATO AVT-408 Task Group, founder of SAMS AGV Summit, and lead for ASAM standards on off-road autonomous vehicle simulation Labs: Oversees CAVS DRIVE Lab, Collaborative Lab, and Electronics & Sensors Lab Funding: Secured over $25 million from agencies like DoD, USDA, NIJ, and BJA His research focuses on: Modeling and simulation of autonomous military ground vehicles in off-road environments Human interaction with autonomous systems, including cognitive and physical performance analysis Development of virtual environments and test standards for autonomous vehicle validation Applications of unmanned ground vehicles (UGVs) in law enforcement and military contexts Recent publications emphasize LIDAR performance in adverse conditions, neural network training with simulated sensor data, and simulation fidelity requirements for autonomous systems. Roles & Affiliations: Active in NATO panels, ASAM standards development, and interdisciplinary projects at CAVS.
François Trahay is a Full Professor in the Computer Science department at Télécom SudParis (Institut Mines-Télécom) and a member of the Benagil Inria team. He leads research in high-performance systems, runtime systems, and performance analysis for HPC and distributed systems. He holds an HDR from Institut Polytechnique de Paris and a PhD from University of Bordeaux (2009). His work includes the EZTrace framework for performance analysis and contributions to storage systems optimization. Education: 2021: Habilitation à Diriger des Recherches (HDR), Institut Polytechnique de Paris 2010: PostDoc at Riken, University of Tokyo 2009: PhD in Computer Science, University of Bordeaux 2006: MS in Computer Science, University of Bordeaux Research focuses on runtime system design, HPC trace analysis, and storage efficiency. Recent projects include PALLAS trace format (IPDPS 2025) and GPU performance prediction (Euro-Par 2024). He advises 4 current PhD students and has supervised 2 former students now in industry. Key contributions include: Co-developer of EZTrace performance analysis framework Co-author of 60+ peer-reviewed papers in top venues (IPDPS, IEEE Cluster, ICPP) Technical leadership in Inria's Benagil team and Samovar Lab
Eduard A. Jorswieck is a University Professor of Communication Systems at the Institute of Communications Engineering , Technical University of Braunschweig, since 2019. He has previously held a professorship at TU Dresden (2008–2019) and has been a lecturer at TU Berlin (2005–2008). Currently, he serves as the Geschäftsführender Leiter (Managing Director) of the Institute of Communications Engineering. Education: Dipl.-Ing. in Computer Engineering (2000), Doctorate (2004) from TU Berlin. Research Interests: His work bridges information theory and wireless communications, focusing on physical layer security , energy efficiency , reconfigurable intelligent surfaces (RIS) , NOMA , MIMO systems , and machine learning for network optimization . He explores stochastic orders, game theory, and fractional programming for resource allocation in 5G/6G networks. Publications & Trends: Recent articles emphasize RIS-aided URLLC , STAR-RIS , 6G security , and AI-driven resource management . His studies span multi-antenna systems , terahertz ISAC , and multi-agent reinforcement learning for UAV networks. Awards: IEEE Signal Processing Society Best Paper Award (2006) IEEE Fellow (2020) Fellow of Industry Academy (AIIA, 2024) Best Paper Award at IEEE ICC 2024 Students & Collaborations: He has mentored researchers like K.-L. Besser, P.-H. Lin, and M. Mross. His lab collaborates on projects involving quantum communication , industrial IoT , and multi-agent systems .
Jean-Yves Le Boudec is a Professor at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Computer and Communication Sciences and the Institute of Electrical Engineering. He has been a key figure in advancing the theory and application of network calculus and deterministic networking, contributing significantly to standards such as IEEE Time-Sensitive Networking (TSN) and IETF DetNet. His research focuses on network calculus , time-sensitive and deterministic networking , traffic regulation , worst-case delay analysis , and cyber-physical systems , with cross-cutting applications in smart grids , real-time communication , and network security . He has co-authored foundational texts on network calculus and developed theoretical frameworks for traffic regulators, service curves, and delay bounds in complex networked systems. The recent publications highlight a strong trend in analyzing and improving performance guarantees in deterministic networks, including scheduling mechanisms like Deficit Round-Robin and Cyclic Queuing and Forwarding, traffic shaping via interleaved regulators, and security against time-synchronization attacks in power systems. The work spans theoretical modeling using stochastic and min-plus/max-plus algebra, practical algorithm design, and application to critical infrastructure. IEEE Fellow Le Boudec has advised numerous researchers and PhD students, including Ehsan Mohammadpour, Ludovic Thomas, and Seyed Mohammadhossein Tabatabaee. His collaborative projects often involve grants related to European and Swiss research initiatives in networking and smart grid technologies. He leads a research group focused on networked systems at EPFL, contributing to both theoretical advances and real-world implementations in industrial and energy-critical networks. His lab work centers on modeling and verification of time-sensitive network behaviors, integrating formal methods with practical experimentation. The team investigates regulators, shapers, and synchronization mechanisms, aiming to ensure robustness, predictability, and security in next-generation communication infrastructures. Future work continues to explore the interplay between communication, control, and energy systems in highly reliable environments.
Dr. Kingshuk Majumdar is a Professor in the Department of Physics at Grand Valley State University within the College of Liberal Arts & Sciences. His academic journey began with a Ph.D. from the University of Florida in 1999, followed by M.S. and B.S. degrees from Indian institutions. Dr. Majumdar's research interests are centered on Theoretical Condensed Matter Physics, specializing in low-dimensional quantum spin systems and frustrated magnets. He also explores Quantum Information Science and Quantum Computing, contributing to the understanding of quantum spin dynamics and phase transitions. His scholarly publications reflect expertise in spin-wave theory, magnetic phase diagrams, and quantum fluctuations. The articles span topics such as Heisenberg antiferromagnets, bilayer magnetism, and quantum critical points, indicating a strong focus on theoretical modeling of magnetic and quantum systems. NSF-MRI Award ($97,383) to acquire a HPC Cluster at GVSU XSEDE Award: 50,000 CPU supercomputing hours Regional Michigan Science Olympiad Service Award Kavli Institute of Theoretical Physics (KITP) Scholar Award Cottrell College Science Award from Research Corporation Award for paper presentation in the Graduate Student Forum, University of Florida Outstanding Academic Achievement Award by an International Student, University of Florida Dr. Majumdar mentors undergraduate researchers, guiding projects on quantum spin systems, thin film conductivity, and spin-wave analysis. He also serves as a referee for American Physical Society (APS) and Institute of Physics (IOP) journals, contributing to the academic community through peer review and grant evaluation.
Elvino Silveira Sousa is a Professor at the University of Toronto's Department of Electrical and Computer Engineering, holding the Jeffrey Skoll Chair in Computer Networks and Innovation. His career spans over 30 years in wireless communication research. Education: PhD in Electrical Engineering (University of Southern California, 1985) Key Affiliations: Wireless Lab (Founder/Director), IEEE Fellow Research Interests focus on advanced wireless systems including: Autonomous infrastructure wireless networks Cognitive radio and spectrum management 5G/Next-generation cellular architecture Smart antenna and software radio systems Scientific Contributions include: Over 150 peer-reviewed publications Foundational work in transmitter diversity (IEEE Fellow citation) Chair roles at PIMRC 95, Globecom '99, PIMRC 2011, WPMC2010 Awards & Recognition: IEEE Fellow (2000) Queen Elizabeth II Golden Jubilee Medal (2002) IEEE TCPC Recognition Award (2002) New Pioneers Science Award (2003)
Paolo Castellini is an Associate Professor at the Department of Industrial Engineering and Mathematical Sciences, Università Politecnica delle Marche (UNIVPM). His research focuses on mechanical measurements, vibration analysis, and advanced imaging techniques. He teaches courses in the College of Engineering and has published extensively on applications of hyperspectral imaging, 3D scanning, and neural networks in industrial and biomedical contexts. Office hours: Monday-Friday, 08:30-13:00 Email: p.castellini@univpm.it Location: via Brecce Bianche, 12, Ancona Recent research trends include vibration decoupling metastructures, microplastic detection in biological samples, and UAV-based photogrammetric analysis of olive trees. His publications emphasize non-destructive testing, acoustic beamforming, and uncertainty evaluation in measurement systems. Notable projects involve mmWave radar displacement analysis, cardiac simulators for prosthetic valves, and light-controlled polymer films for mechanical motion.
Leung Tsang is a Professor of Electrical Engineering and Computer Science at the University of Michigan, Ann Arbor, holding the Robert J. Hiller Professorship of Engineering. He received his SB, SM, EE, and Ph.D. from MIT. His academic career includes positions at Texas A&M University (1980-1983), University of Washington (1983-2014) as Professor and Department Chair (2006-2011), and a visiting Professorship at City University of Hong Kong (2001-2004). He has served as Editor-in-Chief of IEEE Transactions on Geoscience and Remote Sensing and President of the Electromagnetics Academy and IEEE Geoscience and Remote Sensing Society. His research focuses on microwave remote sensing , multiple scattering theory , electromagnetic wave propagation in random media , photonic crystals , and signal integrity . His work spans theoretical advancements (e.g., radiative transfer theory, UV multi-level methods) and practical applications (e.g., snow parameter retrieval, ocean foam modeling, via coupling analysis). Key trends include Development of computational techniques for large-scale scattering problems Integration of neural networks for inversion in remote sensing Investigation of backscattering enhancement and polarimetric signatures Notable awards include Fellow of IEEE and Optical Society of America William T Pecora Award (2012) Van De Hulst Light Scattering Award (2018) Membership in the National Academy of Engineering (2020) His group utilizes high-performance computing resources, including the Flux HPC cluster at the University of Michigan and XSEDE allocations, with specialized nodes for electromagnetic modeling. Current students include Ruoxing Gao (electromagnetic theory), Firoz Borah (snow remote sensing), Jongwoo Jeong (forest scattering), and Zhenming Huang (snow modeling).
Libak Abou is a Research Assistant Professor at the University of Michigan's Department of Physical Medicine and Rehabilitation and a Center Member at the Institute for Healthcare Policy and Innovation. His work focuses on enhancing functional independence and quality of life for individuals with neurologic disabilities through evidence-based rehabilitation strategies. Education : PhD in Kinesiology and Rehabilitation (University of Illinois at Urbana-Champaign, 2022), MPT in Physical Therapy (Santa Catarina State University, Brazil, 2017), and PT in Health Rehabilitation (University of Medical Sciences of Cienfuegos, Cuba, 2014). Research Interests : Neurorehabilitation, postural control, fall prevention using emerging technologies, and symptom management in multiple sclerosis (MS) and spinal cord injury (SCI). Recent Article Trends : His publications span MS fatigue reduction via exercise, dual-task fall prediction models, cardiovascular benefits of physical activity in MS, and innovative balance/wheelchair assessment tools. Emerging themes include wearable sensors for functional mobility and nociplastic pain in MS. Scientific Awards Elite Reviewer (American Congress of Rehabilitation Medicine, 2022-2023) Laura J. Huelster Scholarship (2021-2022) Carol L. Chittenden Fellow (2020-2022) UIUC Teachers Ranked as Excellent (2020) Grants : NIH-funded research on cognitive function in MS, MICHR grant on nociplastic pain outcomes, and multiple trainee grants for fall prediction studies in MS/SCI.
Azzam Al-nahari is an Associate Professor in the Department of Electrical Engineering at Ibb University, Yemen, since 2017. He holds a B.Sc. in Electronics and Communications Engineering from the University of Technology, Iraq, and M.Sc. and Ph.D. in Electrical Communications from Menoufia University, Egypt. He has held postdoctoral positions at Lund University, Sweden (2012), University at Buffalo, USA (2014), and is currently a Visiting Scholar at Aalto University, Finland (since 2019). Education: B.Sc., Electronics and Communications Engineering, University of Technology, Iraq M.Sc. & Ph.D., Electrical Communications, Menoufia University, Egypt Research Interests focus on Backscatter Communications , Massive MIMO Systems , Physical Layer Security , Cognitive Radio Networks , and Signal Processing for Wireless Communications . His work explores UAV-assisted systems, energy-efficient protocols, and covert communication techniques. Recent Publications highlight advancements in Ambient IoT , UAV-Backscatter Integration , Reconfigurable Intelligent Surfaces (RIS) , and Secure Beamforming , reflecting trends in low-power networking, AI-driven resource allocation, and wireless security. Affiliation: Research groups in Communication Engineering at Aalto University.
Mohammed Elmusrati is a Visiting Professor at the Department of Information and Communications Engineering in Aalto University . His research focuses on Wireless Communications , particularly in areas like Cognitive Radio Networks , Power Allocation , and Sensor Networks . Specializes in Fading Channels and Spectrum Sharing for wireless systems Collaborates with researchers in Positioning Systems and Satellite Navigation His recent publications (2022) explore advancements in LEO Satellite-based PNT and Wireless Sensor Network Optimization . Earlier works (2008–2012) include contributions to Multi-Objective Optimization in cellular systems, Power Control in cognitive networks, and Partial Discharge Detection in power systems. He is associated with the Communication Engineering research group and has worked with institutions in Finland and Qatar.
Valentina Agostini is an Associate Professor in the Department of Electronics and Telecommunications (DET) at Polytechnic University of Turin, where she has established herself as a leading researcher in biomedical engineering with expertise in human movement analysis and signal processing. She is also a member of the Interdepartmental Center PolitoBIOMed Lab - Biomedical Engineering Lab, contributing significantly to the university's biomedical research infrastructure. Her primary research interests include biomedical signal processing, gait analysis, motor control, muscle synergies, postural control, and neuroengineering. Dr. Agostini leads the Biolab: Biomedical Engineering Group within DET, conducting research at the intersection of engineering principles and clinical applications. Her work spans fundamental signal processing techniques to clinical applications for neurological disorders, orthopedic recovery, and aging populations. Dr. Agostini's recent publications demonstrate a strong focus on applying engineering methodologies to understand human movement, with increasing integration of machine learning and AI approaches. Her research shows evolution from foundational work on EMG signal processing toward sophisticated clinical applications, particularly for Parkinson's disease and cognitive-motor interactions. The trend indicates growing emphasis on wearable sensor technology, objective clinical assessment tools, and AI-driven diagnostic and therapeutic support systems. SIAMOC Best Methodological Paper Award (2009) Young Research Award from Società Italiana di Analisi del Movimento in Clinica (2010) AITA Best Paper Award (2013) MEMEA Best paper award from IEEE Instrumentation and Measurement Society (2014) Dr. Agostini serves as a dedicated mentor, currently supervising PhD student Fabrizio Sciscenti on neuroengineering techniques for Parkinson's Disease management. She leads significant research projects including S-CoDe (2025-2027) on stress and cognitive decline assessment, and PD_DBS (2023-2025) examining deep brain stimulation effects. Her editorial service includes Scientific Reports, Sensors, and Frontiers in Sports and Active Living, reflecting her standing in the international research community. She is a founding member of the National Bioengineering Group (GNB) and maintains active roles in professional societies including IEEE-HKN. Her laboratory work centers around the PolitoBIOMed Lab, where her team develops innovative approaches to biomedical signal processing, human movement analysis, and neuroengineering applications for healthcare, with particular focus on translating research findings into clinical practice for improved patient outcomes.
Nishant K.T is a Professor in the School of Biology at the Indian Institute of Science Education and Research (IISER) Thiruvananthapuram, where he has served as Professor since 2022, Associate Professor from 2017-2022, and Assistant Professor from 2011-2017. He also served as Head of the School of Biology from 2017-2021. Prior to joining IISER-TVM, he was a Research Associate and Postdoctoral Fellow at Cornell University, USA (2005-2010). Ph.D from Dept. of Biochemistry, Indian Institute of Science, Bangalore (2005) M.S in Biological Sciences from Indian Institute of Science, Bangalore (2000) B.Sc(H) in Biochemistry from Sri Venkateswara College, Delhi University (1997) Dr. Nishant's research focuses on mechanisms that maintain genome stability using baker's yeast Saccharomyces cerevisiae as a model system. His laboratory investigates two key areas: mechanisms of meiotic recombination, with emphasis on meiotic crossover pathways and their role in promoting accurate chromosome segregation during meiosis (errors linked to congenital birth defects like Down syndrome); and mechanisms of mitotic genome stability, studying processes contributing to mutagenesis, loss of heterozygosity and aneuploidy using high-throughput genomic technologies, classical genetics and molecular biology approaches. His work has significant implications for understanding disease progression (e.g., cancer), genome evolution and architecture. Analysis of Dr. Nishant's recent publications (2017-2025) reveals a consistent focus on yeast genetics and genome stability, with particular emphasis on meiotic recombination mechanisms, chromosome segregation, and DNA repair pathways. His work often employs high-throughput genomic approaches to study loss of heterozygosity, crossover formation, and chromosome dynamics in both meiotic and mitotic contexts. The research spans fundamental mechanisms with implications for human health conditions including cancer and congenital disorders. Scientific Awards and Editorial Positions Wellcome Trust-DBT Intermediate Fellow (2012-2017) Editorial board member of the journal YEAST (2021-present) Guest Editor for a special issue of the journal YEAST (2020) Editorial board member for Journal of Genetics (2018-present) Visiting Professor, Osaka University (2018) Visiting scientist, Osaka University, DST-JSPS exploratory exchange (2014) Best Poster awards at Society of Biological Chemists (India) meetings (2001, 2003) CSIR Research Fellowships (Junior 2001-2002, Senior 2002-2004) Dr. Nishant has mentored numerous students through IISER-TVM's PhD and Integrated PhD programs, with several alumni now holding independent research positions. His laboratory (GSL Lab) maintains an active research program with current PhD students working on bioinformatics, yeast genetics, and chromosome stability projects. He has co-organized multiple International Chromosome Stability meetings at various locations in India (Trivandrum 2012, 2016, 2022; Bangalore 2014, 2018, 2024), demonstrating leadership in the field. The GSL Lab operates as a dynamic research team using Saccharomyces cerevisiae as a model system, combining high-throughput genomic technologies with classical genetics and molecular biology approaches. Current lab members include PhD students, postdoctoral researchers, and undergraduate students working collaboratively on projects related to genome stability mechanisms.
Jun Xie is an Associate Professor at the UMass Chan Medical School and holds multiple positions in departments including the Gene Therapy Center , Genetic and Cellular Medicine , and Microbiology . His research focuses on adeno-associated virus (AAV) vector technology and AAV-mediated miRNA therapeutics , with applications in gene therapy for diseases like osteoporosis, spinal muscular atrophy, and fibrodysplasia ossificans progressiva. BS in Plant Genetics & Breeding from Huazhong Agricultural University, China MS in Molecular Biology & Biochemistry from Huazhong Agricultural University, China PhD in Genetics from Sun Yat-sen University of Medical Sciences, China Xie's recent work explores CRISPR/Cas9 genome editing delivered via AAV vectors, including studies on bone disease treatment (osteogenesis imperfecta, alveolar bone loss), neurological disorder therapies (spinal muscular atrophy), and immune-evasive AAV designs . His publications emphasize vector engineering to improve safety, targeting specificity, and therapeutic efficacy. Key trends in his 15 most recent articles include AAV serotype optimization (e.g., AAV5, AAV9), adenine base editing with engineered Cas9 variants, and miRNA-based interventions for metabolic and inflammatory conditions. His work spans preclinical rhesus monkey models and translational gene therapy applications .
