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Costas N. GeorghiadesView profile

Professor

• Statistical Communication Theory
• Wireless Communications
• Optical Communication Systems
• +7 more

Costas N. Georghiades is a Professor and Delbert A. Whitaker Chair in the Department of Electrical & Computer Engineering at Texas A&M University. He has held leadership roles including Interim Vice President for Research, Interim Department Head, and Associate Dean for Research in the College of Engineering. His research focuses on statistical communication theory, wireless communication systems, and receiver design. Education: D.Sc., Electrical Engineering, Washington University (1985) M.S., Electrical Engineering, Washington University (1983) B.E., Electrical Engineering, American University of Beirut (1980) Research Interests: His work spans fading channels, space-time coding, distributed source coding, interference rejection techniques, and optical communication systems . He emphasizes applications of information theory to practical communication challenges, including synchronization and equalization in wireless environments. Publications & Trends: Recent articles address advanced topics like faster-than-Nyquist signaling, unsourced random access in MIMO systems, and visible light communication design. His work often bridges theoretical insights with practical implementation challenges in wireless and optical domains. Awards & Recognition: IEEE Fellow (2002) 2012 IEEE Communication Theory Technical Committee Service Award Multiple endowed professorships including the Delbert A. Whitaker Chair Advising & Grants: He has advised over 50 graduate students, many contributing to foundational research in CDMA systems, MIMO detection, and network coding. His grants include support for projects on cognitive radio, OFDM systems, and secure communication protocols. Labs & Collaborations: Active in Texas A&M's Global Cyber Research Institute (GCRI) and affiliated with the Multidisciplinary Engineering program. Collaborates on initiatives like the IEEE Information Theory Society and Hamming Medal Committee.

Riccardo BettatiView profile

Professor

• Distributed real-time systems
• Scheduling algorithms
• Communication protocols
• +4 more

Riccardo Bettati is a Professor and Associate Department Head in the Department of Computer Science & Engineering at Texas A&M University, part of the College of Engineering. He holds a Ph.D. from the University of Illinois at Urbana-Champaign (1994) and a DipInf. from ETH Zurich. His research focuses on distributed real-time systems, scheduling algorithms, communication protocols, and security, particularly in privacy and anonymity. He directs the Texas A&M University Center for Information Assurance and Security. Education: Ph.D. in Computer Science (UIUC), DipInf. in Computer Science (ETH Zurich). Research Interests: Distributed real-time systems, scheduling, communication security, privacy in networks, and cyber-physical systems. Notable projects include NetCamo, RT-ARM, and VTech. He has received awards like the Chevron Faculty Fellowship (2008-2009) and Best Paper at EuroMicro (2006). Recent publications span cybersecurity, IoT security, and side-channel attack countermeasures. He teaches courses on operating systems, computer systems, and cryptocurrencies. His work emphasizes secure networked systems and resilience against modern threats.

• Digitalization
• Control Systems
• Optimization
• +4 more

Guoyuan Li is a Professor at the Department of Marine Operations and Engineering Technology at NTNU, affiliated with the Faculty of Engineering. His research focuses on digitalization, control systems, robotics, maritime operations, and human-machine interaction. He holds IEEE Senior Membership (2019) and editorial roles in IEEE Journal of Oceanic Engineering and IEEE Transactions on Intelligent Transportation Systems . Education includes a Ph.D. in Computer Science from Hamburg University (2013), M.S. and B.S. from Chongqing University (2009/2006). Key projects include EU-funded RoboSAPIENS (robotic adaptation), Digital Twin for Green Ship Operations, and TwinShip (vessel lifecycle services). Recent awards include 2024 IEEE Robotics & Automation Magazine Best Paper and multiple IEEE conference recognitions. His work spans AI-driven maritime safety, digital twin applications, and autonomous systems. Visit Intelligent Systems Lab for more.

• Networking
• Operating Systems
• Distributed Systems
• +6 more

Kang Shin is a Professor in the Department of Electrical Engineering and Computer Science at the University of Michigan's College of Engineering. His research spans multiple domains in computer science and engineering, focusing particularly on automotive security, wireless communications, and distributed systems.

Michael GaldeView profile

Assistant Professor

• Cybersecurity
• Malware Analysis
• Industrial Control Systems (ICS) Security
• +10 more

Michael Galde is an Assistant Professor at the University of Arizona's College of Engineering, Department of Electrical and Computer Engineering, where he specializes in cybersecurity education and research. He holds a Master's in Cybersecurity and a Bachelor's in Political Science from the University of Nebraska and brings over a decade of experience from defense intelligence, industrial cybersecurity, and academic instruction. MS in Cybersecurity, University of Nebraska BA in Political Science, University of Nebraska His research and teaching focus on malware analysis , Industrial Control Systems (ICS) security , reverse engineering , and hands-on cyber operations training . He develops advanced courses and practical tools to strengthen cybersecurity resilience in critical infrastructure. His work bridges technical depth with educational accessibility, empowering the next generation of cyber professionals. His recent technical projects reflect a strong trend in applied cybersecurity research , especially in OT/ICS monitoring , network visualization , and the integration of AI and NLP into security operations . Projects like GRID-LM, IAES-SOC, and PCAPMap demonstrate innovation in real-time threat detection, large-scale data analysis, and user-friendly tooling for cyber defense. Notable scientific credentials include: Global Industrial Cyber Security Professional (GICSP) GIAC Response and Industrial Defense (GRID) Michael Galde actively contributes to cybersecurity through teaching (80% responsibility), university service (20%), research (2024–present), and external consulting (15%). He mentors students through project-based learning and leads initiatives in developing robust educational and technical frameworks. His research team works on projects including SPINE, DaRIA, and IAES-SOC, focusing on scalable NLP ecosystems and intelligent network monitoring. He leads multiple research and development efforts, including the IAES-SOC for OT network monitoring, PCAPMap for traffic visualization, and SPINE for NLP infrastructure. These projects are supported by hands-on development and integration with tools like Wazuh, ELK stack, Scapy, and Bokeh.

Luis OrtizView profile

Associate Professor

• Artificial Intelligence
• Machine Learning
• Computational Game Theory
• +12 more

Luis Ortiz is an Associate Professor at the University of Michigan - Dearborn in the Department of Computer and Information Science , College of Engineering and Computer Science. He previously held faculty positions at Stony Brook University (2008-2015), University of Puerto Rico, Mayaguez (2007-2008), and postdoctoral roles at MIT (2004-2006) and University of Pennsylvania (2001-2004). His research spans Artificial Intelligence , Machine Learning , Game Theory , and Graphical Models , with applications to networks, security, finance, and health. Education: Ph.D., Computer Science, Brown University (2002) B.S., Computer Science, University of Minnesota, Twin Cities His recent publications focus on graphical games, causal inference, and probabilistic modeling, with contributions to Nash equilibrium computation, strategic network analysis, and multi-agent systems. He has received multiple NSF awards , including a CAREER grant. Scientific Awards: 2019 NSF Research Award 2011 NSF CAREER Award 2008 NSF Faculty Diversity Award Ortiz has advised projects in computational game theory , machine learning , and network security . His research grants include NSF funding and industry support from Huawei/FutureWei Technologies. He has led projects on interdependent defense games, wireless localization, and causal strategic inference in networked systems. Labs & Teams: Collaborates with the Stony Brook Game Theory Summer Festival , University of Pennsylvania's Computer and Information Science Department , and industry partners in cellular networking and security.

Mohsen KhademView profile

Professor

• Robotics
• Computer Vision
• Machine Learning
• +5 more

Mohsen Khadem serves as a Reader in Robotics at the School of Informatics, University of Edinburgh, where he directs the Surgical and Interventional Robotics Group. He holds dual affiliations with the Institute for Perception, Action and Behaviour and the Center for Inflammation Research and the Institute of Regeneration and Repair. As a UKRI Future Leaders Fellow, his work bridges engineering and clinical medicine through the development of advanced robotic systems for surgical interventions. His research focuses on continuum robotics with primary applications in surgical and interventional robotics. Key areas include surgical robotics and image-guided therapies, computer vision and medical image processing, mechanics-based modeling and simulation, and applications of control theory in robotics. Khadem's approach emphasizes solving clinical problems first, working closely with surgeons to develop appropriate robotic solutions, whether new hardware designs or novel algorithms. His recent publications demonstrate a strong trajectory toward medical robotics applications, particularly in bronchoscopy navigation and surgical skill assessment. The work combines computer vision techniques with robotic control systems to address clinical challenges in minimally invasive procedures, showing increasing sophistication in both image processing and robotic manipulation capabilities. UKRI Future Leaders Fellow Khadem actively supervises multiple PhD students including Balint Thamo (focusing on concentric tube robots), Emile Makute (specializing in machine learning for continuum robots), Alex Adams (working on spectroscopy for cancer diagnosis), and Zhaoxing Deng (researching surgical skill assessment). His major projects include leading the Cyber-Physical System for Unified Diagnosis and Treatment of Lung Diseases and participating in the EPSRC-funded MicroTex research hub. Based at the Bayes Centre and IRR South facilities, Khadem's Surgical and Interventional Robotics Group operates as a cross-institutional research team with strong connections to clinical partners. The lab focuses on developing therapeutic and diagnostic robotic instruments through close collaboration with surgeons and clinicians to identify optimal solutions for specific medical challenges.

Weiming XiangView profile

Associate Professor

• Cyber-Physical Systems
• Safe AI
• Formal Methods
• +6 more

Dr. Weiming Xiang is an Associate Professor at the School of Computer and Cyber Sciences of Augusta University , Georgia. He transitioned from Assistant Professor (2019–2023) to his current role (2023–present). His academic journey includes postdoctoral positions at Vanderbilt University and University of Texas at Arlington , and a research associate role at the University of Hong Kong . He earned his Ph.D. (2014) in hybrid transportation systems from Southwest Jiaotong University , an M.Sc. (2007) in automation from Nanjing University of Science and Technology , and a B.E. (2005) in electrical engineering from East China Jiaotong University . Research Interests: Dr. Xiang focuses on formal synthesis and verification techniques for cyber-physical systems (CPS) , particularly addressing safety, security, and reliability in learning-enabled CPS . His work spans hybrid systems , neural network verification , control theory , and data-driven modeling , with applications in autonomous vehicles , power systems , and transportation . He develops scalable verification frameworks using reachable set computation , interval arithmetic , and polyhedral methods . Scientific Awards: NSF CAREER Award (2022) IEEE Senior Member (2017–present) Outstanding Reviewer awards from journals like IEEE Transactions on Automatic Control, Neurocomputing, and Journal of the Franklin Institute Top 1% Reviewers in Engineering, Publons (2018) Grants & Collaborations: Dr. Xiang leads multiple NSF-funded projects, including a $498,985 CAREER Award (2022–2027) for machine-learning-intensive CPS upgrades, a $499,000 CPS Program grant with Jason Orlosky (2022–2025) for XR-assisted h-CPS modeling, and a $270,913 NSF grant with Hoang-Dung Tran (2023–2026) for safety assessment of learning-enabled systems. He also contributes to Augusta University's CyberCorps Scholarships for Service program. Labs & Teams: Dr. Xiang leads the AI-CPS Lab , which explores intersections between artificial intelligence , formal verification , and cyber-physical systems . His lab collaborates on projects involving runtime safety monitoring , neural network compression , and hybrid control architectures .

Shahrear IqbalView profile

Adjunct Associate Professor

• Smart Systems Security and Privacy
• Critical Infrastructure Security
• Secure Software Engineering
• +3 more

Shahrear Iqbal is an Adjunct Associate Professor at Queen's University and a Cyber Security Researcher at the National Research Council (NRC) Canada . He holds a PhD in Cybersecurity (2017) and MSc in Combinatorial Optimization (2011) from Queen's University, along with a BSc in Computer Science and Engineering (2008) from Bangladesh University of Engineering and Technology. Research Focus: Security and Privacy of Smart Systems, including in-vehicle security, self-aware operating systems, IoT-cloud security, and AI-driven cybersecurity. Teaching: Previously taught CISC490: Cybersecurity at Queen's University. Key Projects: Droid Mood Swing (DMS) for context-aware Android security policies Securing ECU Communications in connected vehicles FCFraud for user-side click-fraud detection

• Nuclear and Plasma Physics
• Particle and High Energy Physics
• Astronomical Sciences
• +7 more

Dr. Shanti Krishnan is a Senior Lecturer in the School of Engineering at Swinburne University of Technology, where she conducts interdisciplinary research at the intersection of physics, engineering, and cybersecurity. Her work spans fundamental physics experiments and practical industrial applications. Her research focuses on nuclear and plasma physics , particle physics , and astronomical sciences , with key contributions to muon tomography for monitoring mining infrastructure, dark matter detection via the SABRE South experiment at the Stawell Underground Physics Laboratory, and instrumentation development for the W. M. Keck Observatory. She also explores cybersecurity in Industry 4.0 , particularly through digital twin technologies and anomaly detection in cyber-physical systems. Her recent publications highlight advancements in muon-based navigation for space exploration, cosmic ray-based cybersecurity systems, and simulation of dark matter detectors. These works demonstrate a strong trend toward applying particle physics principles to real-world engineering and security challenges. Dr. Krishnan has received multiple grants, including external funding from HILT CRC Limited and internal grants from Swinburne University, supporting projects such as impact-driven learning materials for net zero in heavy industries and digital twin applications for blood product manufacturing. Development of Impact driven learning materials for net zero in heavy industries – HILT CRC Limited (2025) Rapid Scenario Testing using digital twin for sustainable and scalable manufacturing of blood products – Swinburne University (2024) A Dynamic In-bed Weight Monitoring System for Aged Care Facilities – Cloud Burst Software Pty Ltd (2023) She is actively supervising PhD students, including a project on using digital twins and machine learning to detect cyber-attacks in Industry 4.0 manufacturing systems. Her work is supported by collaborations with institutions such as Caltech, UC Observatories, ANU, and W. M. Keck Observatory, reflecting a strong international research network. Dr. Krishnan leads and contributes to multidisciplinary research teams focusing on detector development, secure industrial systems, and sustainable manufacturing. Her lab and project teams integrate physics, engineering, and data science to solve complex real-world problems.

Syed Mehmood HasanView profile

Lecturer

• Supply Chain Management
• Operations Management
• Project Management
• +4 more

Syed Mehmood Hasan serves as Lecturer of Digital Engineering Management in the Department of Electronic Engineering at Royal Holloway, University of London. With extensive industry experience and academic expertise, he bridges theoretical knowledge with practical applications in manufacturing and service sectors across Pakistan and internationally. His academic foundation includes: PhD in Supply Chain Management from University of Greenwich (2013) M.Sc in Engineering Management from University of Greenwich (2006) BE in Industrial and Manufacturing Engineering from NED University of Technology (2003) Short Course in Business Incubation Management from University of Queensland (2015) Dr. Hasan's research centers on operational excellence through lean methodologies and supply chain innovation . His work spans Supply Chain Management, Operations Management, Project Management, Production Management, Strategic Management, and Organizational Systems. He specializes in developing practical frameworks that translate academic concepts into measurable industry improvements, particularly in manufacturing environments facing volatility and complexity. His recent publications reveal a strategic shift toward digital transformation in supply chain management, with emphasis on Industry 4.0 applications, inventory system optimization, and logistics digitalization frameworks. These works consistently connect theoretical models with real-world implementation challenges across diverse sectors including automotive, textiles, and pharmaceuticals. Dr. Hasan has secured significant research funding for critical projects including: TECH-I5.0-SCM: Technology Innovation, Industry 5.0 and Digital Supply Chains (2024-2027) Framework Development to Analyze CSFs and KPIs for Supply Chain Projects (2022-2023) Risk analysis of Pakistan's logistics network for pandemic resilience (2022-2023) CPEC logistics performance improvement (2022-2023) Green washing impact on consumer behavior (2022) With over 66 consultancy engagements documented since 2014, Dr. Hasan has implemented lean principles and supply chain innovations at major corporations including Toyota/Indus Motor Company, Siemens, Unilever, Abbott Laboratories, and numerous textile manufacturers. His industry work focuses on tangible outcomes: reducing waste by 15-30%, optimizing inventory systems, and improving production line efficiency through systematic process redesign.

Arvid HellmichView profile

Researcher

• Cyber-Physical Systems
• Digital Twins
• Thermal Behavior Modeling
• +3 more

Dr.-Ing. Arvid Hellmich is a research associate and group leader at the Fraunhofer Institute for Machine Tools and Forming Technology (IWU) , focusing on cyber-physical systems and thermal behavior modeling in machine tools. His work bridges mechanical engineering and production technology, with collaborations involving RWTH Aachen University’s Laboratory for Machine Tools and Production Engineering (WZL). Research: Cyber-physical production systems, digital twins, thermal modeling Key Contributions: Self-optimizing thermal correction, bio-inspired factories, additive manufacturing postprocessing Expertise: Data-driven modeling, machine tool optimization, sustainable production His publications (2012–2021) span journals like Journal of Manufacturing and Materials Processing and conferences such as CIRP Annals. Research interests emphasize integrating biologically inspired methodologies into industrial automation and improving energy efficiency via simulation.

• Non-Linear Automation
• Renewable Energies
• Low-Carbon Mobility
• +2 more

Jean-Pierre Barbot is a Full Professor at Ecole Centrale Nantes , affiliated with the Quartz Team and CODEx Team within LS2N UMR CNRS 6004. His work focuses on Non-Linear Automation with applications to renewable energies and low-carbon mobility. He actively contributes to community initiatives like the GDR MACS and SAGIP . Research Interests Non-Linear Automation Renewable Energy Systems Low-Carbon Mobility Control Theory for Cyber-Physical Systems Publications Trends : His recent work (2024-2025) emphasizes advanced control strategies for renewable energy systems (e.g., PV inverters, wind turbines), fault-tolerant control, and nonlinear differentiators. Key methodologies include flatness-based control, sliding mode techniques, and hybrid discretization approaches. Labs & Teams Quartz Team CODEx Team, LS2N UMR CNRS 6004

• Information Theory
• Machine Learning
• Cyber Security
• +3 more

Fredrik Jönsson is a Senior Lecturer at the Department of Computer Science , Kristianstad University , within the Faculty of Natural Science . His work bridges information theory , machine learning , and cryptography , focusing on applications like cryptanalysis using machine learning and privacy-preserving machine learning . He earned a PhD in Information Theory (2002) and an MSc in Computer Science and Engineering (1997), both from Lund University . His research spans coding theory , stream cipher cryptanalysis , and machine learning for cybersecurity . Research Trends : Recent publications highlight quasi-cyclic codes , finite field GF(17) applications , and CPLEX-based code optimization . Older work includes fast correlation attacks , convolutional codes , and linear code analysis , reflecting his foundational contributions to cryptographic security . Collaborative Projects : Active in projects like Inventering av förutsättningar inför en eventuell ansökan om tillstånd att utfärda examen på forskarnivå , aiming to enhance doctoral degree offerings at Kristianstad University. Teaching : Delivers courses in computer security and supervises bachelor theses in cybersecurity, with a broader background in computer science education .

Tolga OvatmanView profile

Professor

• Algorithms and Computing Theory
• Computer Software and Software Engineering
• Cloud Computing
• +6 more

Prof. Dr. Tolga Ovatman is a faculty member at the Department of Computer Engineering, Istanbul Technical University , where he has been serving as Head of Department since 2024. His academic career spans roles from Research Assistant (2004-2012) to Associate Professor (2019-2023) and full Professor (2023-present). He previously held administrative roles such as Vice Dean (2018-2022) and Deputy Head of Department (2016-2018). PhD in Computer Engineering (2005-2011) MS in Computer Engineering (2003-2005) BSc from Hacettepe University (1999-2003) His research focuses on model checking , replicated state machines , cloud computing , and object-oriented software . Recent work addresses computation offloading in 6G networks , collaborative text editing data structures , and energy-efficient environmental monitoring systems . Key projects led include Design of a Multiplexed State Machine Storage System for Edge Computing (2022-2024) and Microservice Compatible Symphony Infrastructure Research (2020). He has supervised numerous theses on topics ranging from collaborative text editing to AI applications in watershed management . Publications span IEEE Transactions , Springer , and conferences like CSCE and CLOSER .