جست‌وجوی استاد و پژوهشگر

• Stochastic Processes
• Financial Volatility Modeling
• Machine Learning Applications
• +۵ مورد دیگر

Aerambamoorthy Thavaneswaran is a Professor in the Department of Statistics at the University of Manitoba , specializing in inference for stochastic processes and dynamic data science applications. His research bridges financial economics, machine learning, and fuzzy logic to develop innovative volatility models and trading strategies. University: University of Manitoba Department: Statistics Email: Aerambamoorthy.Thavaneswaran@umanitoba.ca Research Interests: His work focuses on neuro volatility models, financial network analysis, and fuzzy logic applications in portfolio optimization. Recent projects include hybrid deep learning architectures for cryptocurrency prediction and dynamic covariance modeling. Publications (2023-2025): His articles highlight advancements in volatility forecasting, algorithmic trading strategies, and neuro-fuzzy systems. Key topics include transformer networks for stock markets, adaptive fuzzy adjacency matrices, and Kalman filter integration for cryptocurrency trading.

Marko T. Milojkovicمشاهده پروفایل

استاد

• Control Systems
• Signal Processing
• Neural Networks
• +۴ مورد دیگر

Marko T. Milojkovic is a full professor at the Faculty of Electronics, University of Nis, leading the Department of Automation since 2022. He holds a PhD in Systems Management (2012), Master's in Automation (2008), and a Bachelor's in Computer Engineering & Informatics (2003), all from the same institution. His research focuses on adaptive control systems, neural networks, and dynamical systems modeling, with 27 papers in impact-factor journals. He currently heads the Laboratory for Modeling, Simulation and Systems Management and participates in 2 national and 2 international projects. Education: PhD: Systems Management (2012) MSc: Automation (2008) BSc: Computer Engineering & Informatics (2003) Research interests include neuro-fuzzy systems, MIMO system optimization, and endocrine neural networks applied to adaptive control. His publications demonstrate expertise in quasi-orthogonal filters, sliding mode control, and time-series forecasting. No scientific awards are explicitly mentioned, but his extensive project participation highlights active collaboration in control systems and automation. Prof. Milojkovic's work bridges theoretical modeling and practical applications, with recent emphasis on intelligent control systems and nonlinear dynamics. His laboratory facilitates interdisciplinary projects addressing complex system management challenges.

Jimmy McGibneyمشاهده پروفایل

مدرس

• Network Security
• Artificial Intelligence
• Cybersecurity
• +۵ مورد دیگر

Jimmy McGibney is a Lecturer in the Department of Computing and Mathematics at Waterford Institute of Technology (WIT), now part of South Eastern Technological University (SETU). He holds a Master of Engineering from Dublin City University (1995) and a Bachelor of Engineering (Electronic) from University College Dublin (1992). His research focuses on network security, AI-driven cybersecurity solutions, trustworthiness in service compositions, and resource-constrained environments. External roles include serving as a Researcher at the Telecommunications Software and Systems Group (2000), a Research Assistant at Dublin City University (1996–1997), and a Systems Engineer at Aldiscon (1994–1996). His work emphasizes applied research in intrusion detection systems, network forensics, and trust management frameworks. Key research interests include AI applications in cybersecurity, trust metrics for service compositions, and securing edge computing environments. He has organized workshops on digital forensics and incident response, and his recent work explores AI methodologies for resource-limited systems. McGibney’s publications span over 38 works, including peer-reviewed chapters and conference contributions. Notable areas include network forensic readiness frameworks, deep learning-based intrusion detection, and trust overlays for spam protection. He has contributed to projects funded by industry and academic collaborations, focusing on practical cybersecurity solutions.

Darshika G. Pereraمشاهده پروفایل

استادیار

• Computer Engineering
• FPGA-Based Hardware Acceleration
• Neuromorphic Computing
• +۵ مورد دیگر

Darshika G. Perera is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Colorado Colorado Springs (UCCS). Her research focuses on FPGA-based hardware acceleration, neuromorphic computing, and embedded systems optimization with applications in machine learning, cryptography, and battery management systems. She holds a PhD and has extensive experience in designing reconfigurable architectures for compute-intensive tasks. Her work bridges theoretical algorithms with practical hardware implementations, emphasizing efficiency and real-time performance. Key research areas include FPGA design methodologies, neuromorphic hardware for AI applications, and embedded systems security. She has published widely on topics such as hardware-software co-design for edge computing, optimization algorithms for genomics, and blockchain applications in healthcare IoT. Her contributions also span data mining hardware accelerators and dynamic reconfiguration techniques for cryptographic systems. Dr. Perera’s work is characterized by interdisciplinary collaborations, combining principles from electrical engineering, computer science, and applied mathematics. She is committed to advancing next-generation edge-computing platforms through innovative architectures and methodologies.

Bernadette McCabeمشاهده پروفایل

استاد

• Biogas Technology
• Agricultural Waste Management
• Environmental Engineering
• +۳ مورد دیگر

Professor Bernadette McCabe is Director of the Centre for Agricultural Engineering (CAE) at the University of Southern Queensland (USQ) and Research Program Team Leader for Energy and Bioresource Recycling. She leads Australia’s National Team for IEA Bioenergy Task 37 (Energy from Biogas) and is a member of the ARC College of Experts. With over 25 years in academic and industry research, her work focuses on converting agricultural and food-industry waste into valuable resources like biogas, recycled water, and biofertilizers. She collaborates with industries to enhance profitability through sustainable waste management, addressing livestock, cropping, and water utility sectors. Education : BSc(Hons) in Agriculture, University of Sydney (1992) PhD in Agricultural Bioengineering, University of Western Sydney (1999) Graduate Certificate in Tertiary Teaching and Learning, USQ (2007) Research Interests : Biogas production from agro-industrial waste Anaerobic digestion optimization Greenhouse gas mitigation strategies Biosolids and digestate management Circular economy applications in agriculture Grants & Projects : Recycling and Renewable Energy Commercialisation Hub (2023) Nutrients in a Circular Economy (NiCE) ARC Hub (2022) Wastes to Profits: Regional Agri-Food Waste Valorisation (2021) Pilot-scale digestate-derived bioproducts (2020) Awards : Advance Queensland Mid-Career Research Fellowship (2017) ALTC Citation for Outstanding Contribution to Student Learning (2011) Labs/Teams : Leadership in CAE’s Energy and Bioresource Recycling program Collaborations with IEA Bioenergy, CSIRO, and industry partners

Paul Thevenonمشاهده پروفایل

استادیار

• GNSS Signal Processing
• Navigation Systems
• Satellite Communication
• +۳ مورد دیگر

Dr. Paul Thevenon is an Assistant Professor at ENAC (National Civil Aviation School) in Toulouse, France, since July 2013. He holds a Habilitation à Diriger les Recherches (2023) and focuses on GNSS signal processing, integrity monitoring, and hybrid sensor systems. His research integrates advanced algorithms for cycle slip detection, multipath mitigation, and hybrid navigation filters using 5G/ LTE signals. Education: Bachelor's in Electronic Engineering from École Centrale de Lille (2004) Master's in Space Telecommunications from ISAE (2007) PhD in Signal Processing from ENAC (2010) Research Themes: GNSS robustness against malicious signals (e.g., evil waveforms) Multi-receiver systems for RTK positioning enhancement Integration of non-GNSS signals (5G, LTE) for hybrid navigation Factor graph approaches for carrier phase processing Awards: 2023: Habilitation à Diriger les Recherches Technical Contributions: Developed CNN-based multipath detection systems Advanced RTK ambiguity resolution via multi-rover arrays Validated TDCP measurements in low-cost PPP-IMU filters Labs/Teams: Core member of the SIGNAV lab, specializing in signal processing and navigation systems.

Ioannis John Papapolymerouمشاهده پروفایل

استاد پژوهشی

• RF/Microwave Engineering
• Antenna Design
• Wireless Communication Systems
• +۳ مورد دیگر

Ioannis John Papapolymerou serves as the interim dean of Michigan State University's College of Engineering, effective October 2024. He is also an MSU Research Foundation Professor in the Department of Electrical and Computer Engineering (ECE) and director of the MSU Space Electronics Initiative. With a career spanning over two decades, he previously chaired the ECE department for nine years, driving significant expansion and fostering diversity and inclusion. His leadership roles include participation in the Big Ten Academic Leadership Program and the Committee on Institutional Cooperation Department Executive Officer Program. Education: Ph.D. and M.S. in Electrical Engineering from the University of Michigan (1999 and 1994), and a B.S. in Electrical Engineering from the National Technical University of Athens (1993). Research Interests: Focus on RF/microwave/mm-wave/THz circuits, antennas, and packaging for wireless communication systems, sensors, and radars. He pioneered additive manufacturing techniques for RF components and has contributed to the development of flexible antennas and high-power modules. His work integrates nanomagnetic films, aerosol jet printing, and 3D-printed substrates to advance electronics. Awards: Notable recognitions include IEEE Fellow (2011), H.A. Wheeler Prize (2012), and NSF CAREER Award (2002). His research has been supported by federal agencies and industry, yielding over 450 publications, six patents, and co-founding two start-ups in RF electronics and flexible antennas. Labs & Initiatives: Leads the MSU Space Electronics Initiative, collaborating with the Facility for Rare Isotope Beams (FRIB). His lab focuses on innovations in high-frequency electronics, additive manufacturing, and vehicular communication systems.

• Robotics
• Autonomous Systems
• Mobile Robotics
• +۳ مورد دیگر

Changan Chen holds the Professorship for Robotic Systems at ETH Zürich, Switzerland. His research focuses on advancing robotic systems, particularly in autonomous navigation, sensor fusion, and safe path planning for mobile robots. He is affiliated with the Department of Robotic Systems and can be contacted at chencha@ethz.ch . His work emphasizes practical applications in challenging environments, leveraging interdisciplinary approaches from computer science and engineering. Recent contributions include advancements in floorplan localization and multi-goal planning algorithms.

Andreas Güntnerمشاهده پروفایل

استادیار

• Chemical sensing
• Gas sensors
• Microfabrication
• +۳ مورد دیگر

Andreas Güntner is an Assistant Professor at ETH Zürich's Department of Mechanical and Process Engineering and a research associate at the University Hospital Zürich's Endocrinology, Diabetes and Clinical Nutrition department. His interdisciplinary research integrates physics, chemistry, and medicine to develop micro/nanosystems for chemical sensing, with applications in healthcare and environmental monitoring. Research focuses on creating innovative sensor technologies from concept to validated devices, particularly chemoresistive gas sensors and handheld detectors. Recent breakthroughs include selective benzene and methanol detection systems, breath analyzers for metabolic monitoring, and nanoparticle-based sensors fabricated via flame synthesis. Publications demonstrate expertise in nanomaterials engineering for molecular sensing, with applications spanning medical diagnostics (breath analysis for diabetes) to environmental protection (air quality monitoring). His group develops complete sensing systems from fundamental material science to portable device implementation. Honors include the De Vigier Award (2022), ERC Starting Grant (2022), and ETH Medal for outstanding PhD (2017). Patents cover handheld detection devices for toxic compounds in consumer products.

• Power Systems
• Renewable Energy
• Electric Vehicles
• +۲ مورد دیگر

Haitham Abu-Rub is a Professor at Texas A&M University at Qatar specializing in power systems, renewable energy integration, and power electronics. His research focuses on developing innovative solutions for grid stability, EV charging infrastructure, and intelligent control systems. He has published extensively in IEEE journals and conferences, addressing challenges in smart grids and sustainable energy systems. His work spans power converter design, fault diagnosis, and AI applications in energy management. Recent projects include decentralized PV trading systems, resilient inverter networks, and physics-informed neural networks for insulation diagnostics. Dr. Abu-Rub collaborates internationally on projects involving grid-interactive buildings, digital twins for power converters, and adaptive control techniques for electric vehicle charging.

Eric A.M. Klumperinkمشاهده پروفایل

دانشیار

• RF CMOS Circuit Design
• Software Defined Radio
• Cognitive Radio
• +۲ مورد دیگر

Eric A.M. Klumperink is an IEEE Fellow and Associate Professor at the University of Twente's IC-Design Laboratory. He holds a PhD in Transconductance Based CMOS Circuits from the same institution and completed a sabbatical at Ruhr Universität Bochum. His research focuses on RF CMOS circuits for Software Defined Radio, Cognitive Radio, and Beamforming applications. Research areas include: High-frequency analog circuit design RF front-end architectures Signal mixing and filtering techniques Frequency conversion systems Publication trends show consistent focus on RF circuit innovations, with recent work exploring time converters, N-path filters, and receiver architectures. His 200+ publications demonstrate expertise in balancing linearity, noise, and frequency performance. Awards include: IEEE Fellow (2020) Two Van Vessem Outstanding Paper Awards Distinguished Lecturer for IEEE SSC Teaching includes courses in Analog & RF IC Electronics while mentoring PhD and MSc projects. Professional service includes editorial roles for IEEE TCAS-I/II and JSSC, plus committee positions at ISSCC and RFIC Symposium.

Chris Cornelisمشاهده پروفایل

استاد

• Machine Learning
• Fuzzy Sets
• Rough Sets
• +۳ مورد دیگر

Chris Cornelis is a full-time Professor in fuzziness and uncertainty modelling at Ghent University's Department of Applied Mathematics, Computer Science and Statistics. His research integrates fuzzy logic and rough set theory to advance machine learning methodologies for complex data analysis. Education: M.Sc. in Computer Science, Ghent University (2000) Ph.D. in Computer Science, Ghent University (2004) Research Focus: Cornelis pioneers fuzzy-rough hybrid systems for uncertainty handling in machine learning. His work spans theoretical foundations (e.g., implication operators, granular approximations) and practical applications including emotion detection, medical diagnosis, and imbalanced data classification. Key innovations include FRNN-OWA classifiers and polar encoding for missing values, demonstrating exceptional versatility in bridging abstract mathematics with real-world AI challenges. Publication Trends: Recent work (2023-2025) reveals intensified exploration of topological data analysis (Mapper-based rough sets), advanced granular computing (disjoint/adjacent fuzzy granules), and ethical AI ("No Imputation Without Representation"). His research shows consistent progression from foundational fuzzy-rough theory toward multi-disciplinary applications while maintaining mathematical rigor, particularly in Choquet integration and quantifier-based frameworks. Scientific Awards: No specific awards were documented in the provided sources. Research Support: Cornelis has secured competitive funding including FWO postdoctoral mandates, a Ramón y Cajal contract at the University of Granada, and an FWO Odysseus Type II project at Ghent University. These grants enabled foundational work in fuzzy-rough set theory and its applications to complex data problems. Research Unit: He leads research within Ghent University's Computational Web Intelligence (CWI) unit, focusing on intelligent data analysis systems that leverage fuzzy-rough methodologies for web-scale information processing.

Barbara Carminatiمشاهده پروفایل

استاد

• Access Control
• Adaptable Collaboration
• Compatibility-driven
• +۱۶ مورد دیگر

Barbara Carminati is a Professor at the Department of Theoretical and Applied Science, University of Insubria, Italy. Her work focuses on security, privacy, and trust management in decentralized systems, particularly online social networks, IoT, and emerging technologies like blockchain and digital twins. She has contributed extensively to access control, risk assessment, and collaborative frameworks. Her research spans trust modeling , privacy-preserving mechanisms , and malware detection , with a strong emphasis on decentralized social networks and UAV security . She actively explores the application of blockchain for secure workflows and information sharing. Recent publications highlight her engagement with large language models for security optimization, IoT botnet detection , and metadata leakage analysis . Her work bridges theoretical foundations with practical implementations in cybersecurity, social network management, and edge computing. Contact: barbara.carminati@uninsubria.it

• Robotics
• Autonomous Systems
• Mobile Robotics
• +۶ مورد دیگر

Markus Bader is a PostDoc Researcher at the Technische Universität Wien's Faculty of Informatics, Department of Automation Systems. He holds roles as Curriculum Coordinator for Master's programs in Automation Systems and Mobile Robotics, and serves on multiple academic committees including the Faculty Council and Curriculum Commissions for Informatics and Computer Engineering. He earned his Diplom-Ingenieur (2006) and Doctor Technica (Dr.techn.) from TU Wien. His research focuses on autonomous systems, mobile robotics, and control systems, with notable work on multi-robot coordination, path planning algorithms, and real-time navigation in human environments. Key projects include TransportBuddy (2018), exploring navigation in human spaces, and the Formula Student Driverless race car design (2017). Bader has led or contributed to funded projects such as the Austrian Research Promotion Agency (FFG)-supported Green Facade Digital Twin (2025–2027), Independent Wheel Offset Steering (2016–2017), and MPCv1 (2015–2017), emphasizing model predictive control and sensor integration. Research Highlights : Prioritized multi-robot route planning (MRRP), human motion prediction for autonomous navigation, and sensor fusion for vehicle localization. Grants : FFG-funded projects totaling over €2.5M, including autonomous vehicle coordination and mobile robotics tool development. He advises students on topics like ROS2-based route planning and independent steering systems, with 7+ supervised theses documented. Bader's work bridges theoretical robotics research with practical applications in industrial automation and autonomous vehicle systems.

Swastik Karمشاهده پروفایل

استاد

• Nanophysics
• Materials Science
• Quantum Materials
• +۳ مورد دیگر

Swastik Kar is a Professor of Physics at Northeastern University, specializing in experimental nanophysics and materials science. His research focuses on the electronic, optical, and electrochemical properties of graphene and 2D quantum materials, with applications in energy storage, sensing, and quantum technologies. He holds a BS from Presidency College, MS and PhD from the Indian Institute of Science, followed by postdoctoral research at Universität Karlsruhe and Rensselaer Polytechnic Institute. His academic journey includes roles as Assistant Professor (2010–2016) and Associate Professor (2016–2023) before becoming a full Professor in 2023. His work bridges experimental physics with advanced fabrication techniques, emphasizing scalable synthesis and characterization of atomically thin materials. Research interests span 2D heterostructures, quantum materials manufacturing, and AI-driven materials discovery. Key projects include the Laboratory for 2D Quantum Materials (2DQM) and the Experiential Quantum Advancement Laboratories (EQUAL), focusing on quantum materials and sensing technologies. Collaborative efforts with industry and academia aim to commercialize innovations like radiation detectors and color-recognition systems. Publications highlight advancements in moiré physics, defect engineering, and optoelectronic devices. His work on graphene-based sensors and nanomaterial color identification systems has been widely recognized. Grants include an NSF award for radiation detector development and TIER 1 funding for interdisciplinary quantum initiatives. Labs and affiliations include the Northeastern Center for Renewable Energy Technology and the Quantum Materials and Sensing Institute (QMSI), where he serves as Deputy Director. His research integrates computational modeling, machine learning, and advanced characterization to accelerate quantum material commercialization.