جست‌وجوی استاد و پژوهشگر

Venkata Sriram Siddhardh Nadendlaمشاهده پروفایل

استادیار

• Cyber-physical-human systems
• Human-system interaction
• Statistical inference
• +۵ مورد دیگر

Dr. Venkata Sriram Siddhardh Nadendla serves as an Assistant Professor in the Department of Computer Science within the College of Engineering at Missouri University of Science and Technology. His research bridges theoretical foundations in information theory with practical applications in cyber-physical-human systems across critical infrastructure domains. His educational background includes: PhD in Electrical Engineering and Computer Science from Syracuse University MS from Louisiana State University BE from SCSVMV University, India Dr. Nadendla's research spans cyber-physical-human systems with particular emphasis on human-system interaction , statistical inference , and multi-agent decision making . His work integrates machine learning, game theory, and behavioral decision theory to address challenges in transportation systems, mining safety, and cybersecurity. Recent publications show growing focus on fairness in AI systems and neuromorphic computing applications. Analysis of his 15 most recent publications reveals concentration in transportation systems (20%), cybersecurity (25%), human-AI interaction (30%), and healthcare applications (10%), with remaining work spanning mining safety and theoretical decision frameworks. His research demonstrates consistent progression from theoretical foundations toward practical implementations in critical infrastructure. Dr. Nadendla is actively affiliated with the Center for Intelligent Infrastructure at Missouri S&T, where he contributes to developing smart infrastructure solutions. His work uniquely combines quantum cognition models with traditional game theory approaches to model human decision-making in complex systems.

Kürsat Yurtمشاهده پروفایل

پژوهشگر ارشد

• High Performance Computing
• Performance Portable Programming
• Rotor and Wake Aerodynamics
• +۳ مورد دیگر

Kürsat Yurt, M.Sc., serves as a Research Associate at the Institute for Rotorcraft and Vertical Flight, Technical University of Munich (TUM), based at Boltzmannstr. 15, 85748 Garching, Germany. His role encompasses advanced computational research in vertical flight systems, thesis supervision, and participation in multiple national and international projects targeting next-generation rotorcraft technologies and urban air mobility solutions. Yurt's research spans High Performance Computing, Performance Portable Programming, Rotor and Wake Aerodynamics, and Aeroelasticity. He develops GPU-accelerated meshless methods for large eddy simulations, creates real-time guidance algorithms for urban obstacle avoidance, and investigates morphing airfoil dynamics through fluid-structure interaction frameworks. His work bridges computational mechanics with practical rotorcraft design challenges, emphasizing energy efficiency and flight safety in complex environments. His 2022-2025 publications reveal a cohesive trajectory in computational rotorcraft aerodynamics, featuring innovations in meshless GPU simulations, partitioned coupling techniques, and urban air mobility guidance systems. These works integrate computational fluid dynamics, high-performance computing, and aerospace engineering to address vertical flight challenges including wake modeling, morphing rotor blades, and rotor-airframe interactions. Yurt actively supervises Master's and Bachelor's theses on vortex particle methods, rotorcraft simulation frameworks, and morphing rotor technologies. His research is funded through key projects: ENGEL - Energy Efficient Flight Guidance VARI-SPEED II ARCTIS LaBouR complemented by completed initiatives like InteReSt II and TEMA-UAV. The Institute provides critical infrastructure for his work through specialized facilities: Whirl Tower for rotor dynamics testing Flight Simulator Facilities for pilot-in-loop studies Unmanned Rotorcraft Testbed (AREA) High-performance GPU/CPU clusters for computational workloads These resources enable experimental validation of his computational models and support the institute's mission in vertical flight innovation.

Tarik Kelestemurمشاهده پروفایل

پژوهشگر

• Robotics
• Artificial Intelligence
• Machine Learning
• +۳ مورد دیگر

Tarik Kelestemur is a roboticist specializing in autonomous systems, with affiliations including Boston Dynamics AI Institute and Northeastern University. His work bridges robotics, artificial intelligence, and computer engineering, focusing on tactile manipulation, 3D semantic understanding, and policy learning frameworks. His research interests include: Robotics Artificial Intelligence Machine Learning Computer Engineering Autonomous Systems Human-Robot Interaction Recent publications highlight advancements in diffusion policies, vision foundation models, and 3D relational object graphs. Tarik received an Outstanding Paper Award Finalist at CoRL 2024 and contributes to open-source robotics projects like point_cloud_proc and icub_arm_imitator .

Umakishore Ramachandranمشاهده پروفایل

استاد

• Distributed Systems
• Edge Computing
• Sensor Networks
• +۵ مورد دیگر

Umakishore Ramachandran is a Professor in the School of Computer Science at Georgia Institute of Technology's College of Computing, where he directs the Embedded Pervasive Lab. He received his Ph.D. from the University of Wisconsin-Madison in 1986 and has led transformative initiatives including the Online MS in Computer Science (OMSCS) program. His research spans distributed systems, edge computing, and real-time sensor networks, with applications in smart surveillance and connected vehicles. His research interests include architectural design of parallel/distributed systems, large-scale situation awareness using camera networks, cloud-edge continuum optimization, and latency-sensitive applications for geo-distributed infrastructures. Recent work focuses on elevating edge computing to parity with cloud resources. His publications show strong emphasis on edge computing innovations (MicroEdge, FogStore), real-time video analytics (EVA, ClairvoyantEdge), and adaptive mobile systems (Foresight). Trends include multi-tier architectures, quality-of-experience optimization, and scalable processing for IoT workloads. Major Awards: IEEE Fellow (2014) NSF Presidential Young Investigator (1990) ACM/IFIP Middleware Best Paper (2022) 3x College of Computing Dean's Awards He has advised 40+ PhD students, with recent graduates at Google, Microsoft, and academia. Current NSF/CPS grants support his work on geo-distributed latency-sensitive applications. He co-leads the STAR Center and Samsung-funded embedded software programs. His Embedded Pervasive Lab develops systems like Stampede (stream processing) and DFuse (sensor fusion), with testbeds in the Aware Home and transportation networks. Teams collaborate with Intel, Microsoft, and Bosch on edge-AI deployments.

• Cyber Sovereignty and Network Security
• Internet Testbeds
• Distributed Systems
• +۸ مورد دیگر

Thomas Dreibholz is a Chief Research Engineer at Simula Metropolitan's Center for Resilient Networks and Applications. He specializes in cyber sovereignty, network security, and internet testbeds, with extensive work on distributed systems, cloud computing, and 5G networks. Affiliation: Simula Metropolitan, Oslo, Norway Research Focus: Multi-path transport protocols, network resilience, and privacy-preserving frameworks His research explores the intersection of network security, cloud/fog computing, and next-generation communication protocols. Recent work includes HiPerConTracer for network analysis, privacy-aware fog platforms , and multi-layered federated learning security . He contributes to testbed development, including the NorNet infrastructure for real-world multi-path transport research. Publications reflect expertise in multi-path TCP , 5G network optimization , and cloud/fog security . He has delivered invited talks at institutions like Hainan University and Princeton University, emphasizing open-source testbed deployment and educational outreach.

Younghye Songمشاهده پروفایل

دانشیار

• Biomaterials
• Tumor Microenvironment
• Stem Cells
• +۳ مورد دیگر

Dr. Younghye Song serves as Associate Professor in the Department of Biomedical Engineering within the College of Engineering at the University of Arkansas, with additional affiliation in the Interdisciplinary Graduate Program in Cell & Molecular Biology. Her research develops pro-regenerative scaffolds and in vitro disease models using biomaterials to advance therapeutic strategies for cancer and neural injuries. Education: Ph.D. in Biomedical Engineering, Cornell University (Advisor: Dr. Claudia Fischbach) B.S. in Chemical Engineering and Biomedical Engineering, Carnegie Mellon University (Honors Research Advisor: Dr. Jeffrey Hollinger) Postdoctoral Training, University of Florida (Advisor: Dr. Christine Schmidt) Dr. Song's research centers on Biomaterials , Tumor Microenvironment , and Regenerative Medicine , with emphasis on pancreatic cancer perineural invasion and spinal cord injury. Her lab pioneers decellularized extracellular matrix hydrogels, nerve composite scaffolds, and stem cell-based therapies. Key projects include modeling cancer-nerve crosstalk through extracellular vesicles and developing tissue-engineered testbeds for fibrotic scarring. Recent publications (2021-2025) reveal dominant themes in pancreatic cancer neuroscience (7 articles), neural regeneration (5 articles), and decellularization techniques (4 articles). Her work demonstrates strong translational focus, with 2023-2025 studies increasingly incorporating stem cell therapies and educational innovations in biomaterials curriculum design. Awards and Honors: Outstanding Researcher in Biomedical Engineering, University of Arkansas Dean’s Award of Excellence Rising Star Research Award, College of Engineering Outstanding Teacher in Biomedical Engineering Early Career Editorial Board Member, ACS Biomaterials Science & Engineering Review Editor, Frontiers in Medical Technology Postdoc Excellence Award, University of Florida MOGAM Science Foundation Fellow, Korea Swanson Graduate Fellow, Cornell University Dr. Song actively mentors four PhD students (Kuczwara, Van Vu, Ala-Kokko, Kunt) and a postdoctoral fellow (Gregory). Her lab alumni include seven graduate students now at institutions like AstraZeneca, Yale School of Medicine, and Vanderbilt University. The Therapeutic Testbed Engineering lab maintains active collaborations across biomedical engineering and cancer research domains, with current projects focused on translating decellularized scaffolds into clinical applications for nerve regeneration and cancer therapeutics.

Johannes Pfauمشاهده پروفایل

پژوهشگر

• FPGA Architecture
• Reconfigurable Computing
• Digital Beamforming
• +۳ مورد دیگر

Dr. Johannes Pfau serves as a Scientific Assistant at the Institute for Information Processing Technology (ITIV) within Karlsruhe Institute of Technology (KIT), working in Prof. Becker's research group. His position combines postdoctoral research in advanced FPGA architectures with teaching responsibilities including System-on-Chip internships and academic advising for specialized engineering tracks. Education: Doctorate (Dissertation) in Electrical Engineering and Information Technology, Karlsruhe Institute of Technology, 2024 Research Interests: Pfau's work centers on reconfigurable computing with three interconnected pillars: (1) Next-generation FPGA architectures using emerging technologies like RFETs that require fundamental toolchain redesigns; (2) Digital beamforming systems for satellite Earth observation that replace analog processing with FPGA-based solutions to enable on-orbit data compression; and (3) High-throughput data acquisition systems for 6G prototyping handling multi-100Gbps streams through RFSoC platforms. His research bridges semiconductor physics, hardware architecture, and practical applications in communications and remote sensing. Publication Trends: Pfau's 15 most recent publications (2021-2024) reveal a strong focus on practical FPGA implementations addressing real-world constraints. His work increasingly integrates power management (7 papers), 6G infrastructure (5 papers), and novel semiconductor technologies (4 papers), with a clear trajectory toward hardware solutions for satellite communications and next-generation wireless systems. The research demonstrates consistent progression from architectural innovations (RFET, V-FPGAs) to applied systems (beamforming, 6G testbeds). Advising and Mentorship: Pfau maintains an active student supervision portfolio with documented guidance of 7+ Bachelor's and Master's theses since 2021. His projects emphasize hands-on hardware development, spanning power management techniques, beamforming filter design, and prosthetic control systems. The academic advising role for specializations 13 and 21 positions him at the intersection of computer science and electrical engineering education. Research Context: As a core member of Prof. Becker's group at ITIV, Pfau contributes to KIT's leadership in reconfigurable systems research. The group maintains strong industry connections through 6G initiatives and satellite technology development, with Pfau's work directly supporting German and European efforts in secure communications infrastructure and Earth observation systems.

Michał Michnaمشاهده پروفایل

دانشیار

• Electrical Machines
• Power Electronics
• Piezoelectric Actuators
• +۴ مورد دیگر

Dr hab. inż. Michał Michna is an Associate Professor and Head of the Department of Power Electronics and Electrical Machines at Gdańsk University of Technology's Faculty of Electrical and Control Engineering. He joined the university in 2004 and served as Deputy Head of Department from 2010 to 2015. His research spans electrical machines, piezoelectric actuators, and renewable energy systems, with a strong emphasis on industrial applications. Research interests include: Design and modeling of transformers, generators, and motors Finite element analysis (FEM) for electromechanical systems Piezoelectric actuator technology Railway infrastructure diagnostics and IIoT monitoring He has contributed to key projects like the InfraNoise railway environmental impact system and EU initiatives such as MOET-FP6. Awards include: Medal of the National Education Commission (2021) Bronze Medal for Long Service (2015) Multiple Rector's Awards for teaching and research excellence His recent publications (2023–2025) focus on renewable energy integration, railway diagnostics, and advanced motor designs. He teaches courses in electromechanical systems and supervises departmental research infrastructure, including power electronics testbeds.

• Cyber Security
• Wireless Sensor Networks
• Internet-of-Things
• +۵ مورد دیگر

Professor Hadi Larijani serves as a full Professor in Cyber Security and Networks within the School of Computing, Engineering and Built Environment at Glasgow Caledonian University. His research portfolio spans secure wireless communications, Internet-of-Things security, and neural network applications in networking systems, contributing significantly to UN Sustainable Development Goals through technological innovation. His primary research interests include: Wireless Sensor Network Security Intrusion Detection Systems Long Range Wide Area Networks (LoRaWAN) 6G Communication Security EEG Sensing and Medical Device Validation Digital Twin Frameworks for Logistics Professor Larijani's recent publication trends (2024-2025) show strong focus on practical security implementations for emerging technologies, with significant work in EEG validation systems, logistics optimization, antenna design, and VPN protocol analysis. His research bridges theoretical security frameworks with real-world applications across healthcare, agriculture, and transportation sectors. Notable research activities include: Principal Investigator for Market Assessment of Wearable Smart Wireless EEG Headset Co-Investigator for Secure 6G Enabled Realtime Joint Communication and Sensing Testbed Co-Investigator for Ghanaian tomato irrigation improvement project Co-Principal Investigator for British Academy Researcher at Risk - Ukraine Professor Larijani supervises research students with three documented supervised works, and maintains active collaborations across multiple institutions as evidenced by multi-author publications and international projects. His research group appears focused on practical security implementations for next-generation communication systems and IoT applications.

• Computer Vision
• Optical Physics
• Artificial Intelligence and Image Processing
• +۵ مورد دیگر

Dr Phil Birch serves as Associate Professor in the Department of Engineering and Design within the School of Engineering and Informatics at the University of Sussex. He holds dual leadership roles as Head of Research for his department and Impact Lead for REF Unit of Assessment 12. His academic foundation includes a BSc and PhD from Durham University (awarded 1999), along with professional certifications as Chartered Physicist (CPhys) and Chartered Scientist (CSci). Dr Birch's research spans three interconnected domains: Computer Vision & Deep Learning: Specializing in object tracking (drones, humans), medical image analysis, and low-light enhancement Optical Physics: Focusing on liquid crystal devices, computer-generated holograms, and optical metrology Applied AI Systems: Developing practical implementations for UAV navigation, medical diagnostics, and security systems His recent publications (2024-2025) demonstrate strong activity in transformer-based tracking, diffusion model augmentation for medical imaging, and drone-based agricultural monitoring, with 15+ papers in high-impact venues including IEEE Transactions and SPIE conferences. Current funding includes an Innovate UK grant (2020-2024) for multi-modal security systems combining camera and sensor data. He leads the Industrial Informatics and Signal Processing research group, maintaining active industry collaborations while supervising PhD projects in optical AI systems. His lab resources include optical instrumentation, UAV testbeds, and access to high-performance computing for deep learning development.

Didier Haillotمشاهده پروفایل

استاد

• Thermal Energy Storage
• Solar Thermal Systems
• Energy Efficiency
• +۵ مورد دیگر

Didier Haillot is a Professor in the Department of Mechanical Engineering at École de technologie supérieure (ÉTS), where he directs the ÉDÉ Sustainable Energy Laboratory. His affiliations include research leadership roles in T3E Energy Technology Group, LTSB Thermal Sciences Laboratory, and CIRODD sustainability consortium. He holds a B.Eng. from Université Joseph Fourier Grenoble, M.Sc./Ph.D. from Université de Perpignan, and completed postdoctoral research at DLR Stuttgart. Research interests center on sustainable energy systems with emphasis on: Thermal storage materials (phase-change composites, thermocline systems) Solar thermal technologies for agriculture and buildings Energy efficiency in Arctic infrastructure and industrial processes Decarbonization strategies for northern Indigenous communities Modeling of controlled-environment agriculture Publication analysis reveals strong focus on renewable integration in extreme climates (15 recent papers: 2020-2025), with recurring themes in Arctic greenhouse design, off-grid energy storage, and thermal management of electronics. Experimental and numerical approaches dominate his methodology. Awards include the 2025 Prix de la technologie la plus prometteuse for sustainable tech innovation. He actively mentors 30+ graduate students in projects ranging from thermal storage prototypes to Nunavik community greenhouses, frequently collaborating with industry partners. Laboratory resources include ÉTS's container farm testbed and thermal systems instrumentation facilities.

Łukasz Kulasمشاهده پروفایل

دانشیار

• Antenna Engineering
• Microwave Engineering
• Wireless Communications
• +۵ مورد دیگر

Dr. Łukasz Kulas serves as an Associate Professor at the Department of Microwave and Antenna Engineering within the Faculty of Electronics, Telecommunications and Informatics at Gdańsk University of Technology. His research spans antenna design, wireless communications, and RFID systems with emphasis on millimeter wave applications and chipless RFID technology. His primary research interests include millimeter wave antenna arrays, wireless connectivity testing methodologies, and AI integration in communication networks. Key contributions involve LTCC-based Van Atta array design, low-cost Bluetooth testbed development, and radar cross section enhancement using 3D printed lenses for RFID applications. Recent publications reveal a strong trend toward applying artificial intelligence to industrial wireless systems (InSecTT project) and avionics intra-communications, while advancing fundamental antenna technologies for harsh environments. The work demonstrates consistent focus on practical implementations of wireless solutions across multiple frequency bands. No scientific awards were documented in the source material. No information regarding student supervision or research grants was provided in the available text. Dr. Kulas participates in collaborative research projects related to wireless communications infrastructure, though specific laboratory facilities or team structures were not detailed in the source documentation.

Bernardi Pranggonoمشاهده پروفایل

دانشیار

• Cybersecurity
• Internet of Things
• Computer Networks
• +۳ مورد دیگر

Dr. Bernardi Pranggono serves as Associate Professor in Cyber Security and Computer Networks at Anglia Ruskin University's School of Computing and Information Science, Cambridge. With over 20 years of combined academic and industry experience, he previously held positions at Sheffield Hallam University, Glasgow Caledonian University, Queen's University Belfast, and the University of Leeds, alongside industry roles at Oracle, PricewaterhouseCoopers, Accenture, and Telstra. Education: PhD in Electronics and Electrical Engineering, University of Leeds, UK Master in Digital Communications, Monash University, Australia BEng in Electronics and Telecommunications Engineering, Waseda University, Japan PGCert in Learning and Teaching in Higher Education, Glasgow Caledonian University, UK Research Focus: His work centers on cybersecurity for resource-constrained IoT ecosystems, lightweight cryptographic protocols, and sustainable ICT solutions. Current investigations span IoMT security frameworks, AI-driven intrusion detection systems, green networking for smart grids, and Industry 4.0 security architectures. His approach integrates theoretical rigor with practical industry applications, particularly in healthcare and critical infrastructure protection. Publication Trends: Recent works (2021-2023) demonstrate concentrated efforts in IoT security mechanisms (35%), healthcare cybersecurity (25%), and energy-efficient computing (20%). Key patterns include development of lightweight cryptographic primitives for LoRaWAN, anomaly detection in medical IoT, and AI-enhanced security for smart grid infrastructure, reflecting strong interdisciplinary collaboration with engineering and medical researchers. Scientific Recognition: Fellow of the Higher Education Academy (FHEA) Senior Member of IEEE (SMIEEE) Research Leadership: As Principal Investigator for British Council's Going Global Partnerships project (2024) on AI data science skills for women's employability and Engineering/Mathematics Research Grant on IoMT Security (2022), he directs internationally funded initiatives. His EPSRC/FP7 project participation (INSTANT, HIPNet, PRECYSE) demonstrates sustained grant acquisition capability across cybersecurity and IoT domains. Professional Engagement: Chairs IEEE's SIG-Industrial IoT Networks, serves as Associate Editor for Frontiers journals, and provides extensive peer review services for IEEE, Elsevier, and Springer publications while maintaining active industry consultation roles.

Djamel Eddine Khelladiمشاهده پروفایل

پژوهشگر

• Software engineering
• Model-Driven Engineering
• Software Evolution
• +۳ مورد دیگر

Djamel Eddine Khelladi is a CNRS Researcher at the IRISA laboratory within the DIVERSE team at University of Rennes, specializing in software engineering with emphasis on model-driven techniques and empirical validation. His work bridges theoretical frameworks and industrial-scale applications, particularly in evolving software ecosystems. His academic foundation includes a Ph.D. from Sorbonne University (formerly University Pierre et Marie Curie) at the Laboratory of Computer Science of Paris 6 (LIP6), followed by postdoctoral research at Johannes Kepler University Linz's Institute for Software Systems Engineering. This trajectory established his expertise in software evolution and model-driven approaches. Khelladi's research centers on software evolution challenges, particularly model-code co-evolution in highly-configurable systems like the Linux kernel. He develops scalable analysis tools (e.g., HyperAST, HyperDiff) and investigates empirical phenomena in build systems, configuration management, and polyglot programming environments. Recent work increasingly integrates large language models for automated co-evolution tasks while maintaining rigorous empirical validation. His publication trends reveal a consistent focus on practical tooling for software evolution, with growing exploration of AI-assisted engineering. Key themes include scalability in software history analysis, reproducibility in configurable systems, and debugging multi-language environments, often using Linux kernel ecosystems as testbeds. As an active community contributor, Khelladi serves on program committees for ASE, ICSE, and ESEC/FSE while advancing research through the DIVERSE team at IRISA. This group specializes in variability-intensive software systems, providing the collaborative environment for his empirical and tool-building research.

Babatunde Olubandoمشاهده پروفایل

استاد مدعو

• Industrial Engineering
• Systems Engineering
• Software Engineering
• +۴ مورد دیگر

Dr. Babatunde Olubando serves as an Adjunct Faculty member and Technical Support Specialist in the Department of Industrial and Systems Engineering at Morgan State University's Clarence M. Mitchell, Jr. School of Engineering. Based in Mitchell Engineering Building (Room 215) and Schaefer Engineering Building (Room 310), he leverages dual expertise in academic instruction and technical systems administration to support engineering education and research initiatives. His educational credentials include: Doctor of Engineering in Industrial Engineering, Software and Systems Engineering (Morgan State University, 2011) Master of Engineering in Industrial Engineering (Morgan State University, 2006) Bachelor of Science in Industrial Engineering, Manufacturing (Morgan State University, 2004) Dr. Olubando's research integrates industrial engineering principles with practical technology solutions, focusing on supply chain testbeds, RFID middleware, and web-enabled systems. His work emphasizes accessible tools for manufacturing education and small business applications, combining data analysis with software engineering to solve real-world operational challenges. Fluency in Yoruba further supports cross-cultural research collaboration. Recent publications demonstrate a clear shift toward applied technology development, with 2023 works concentrating on low-cost RFID systems and university-industry supply chain testbeds. This builds upon his foundational 2009 research in sociological modeling frameworks, reflecting an evolving trajectory from theoretical systems modeling to tangible engineering implementations. Professional recognition includes: Certified Six Sigma Green Belt (CSSGB) His technical capabilities span object-oriented analysis, web design (HTML/CSS/WordPress), and social media systems, enabling effective translation of complex engineering concepts into educational and operational tools. Current work focuses on expanding web-enabled supply chain applications through university partnerships.