Find Academic Supervisors

• Computer and Network Security
• Computer Networking
• Network Modeling and Performance Evaluation
• +4 more

Cliff C. Zou is a Professor at the Department of Computer Science, University of Central Florida (UCF), and Program Coordinator for Master's degrees in Digital Forensics and Cyber Security and Privacy. He serves as a UCF Cybersecurity and Privacy Cluster member, Point-of-Contact for UCF CAE-CD/CAE-R designations, and leads the Data Systems Group. With a Ph.D. from University of Massachusetts, Amherst (2005), and B.S./M.S. from USTC, he has received numerous awards including the UCF-TIP Award (2013, 2024), Best Paper Awards, and Fellowships. Ph.D., Electrical & Computer Engineering, University of Massachusetts, Amherst (2005) M.S., Automation, University of Science & Technology of China (USTC) (1999) B.S., Automation, USTC (1996) His research spans Computer and Network Security , IoT Security , Blockchain Systems , Wireless Network Security , and Malware Analysis . Recent work focuses on adversarial machine learning, side-channel attacks, encrypted traffic classification, and secure IoT architectures. His publications (2025-2020) highlight trends in deep learning-based defense , WiFi fingerprinting , TrustZone security , and malware propagation . Scientific Awards: UCF Teaching Incentive Program (TIP) Award (2024, 2013) Best Paper Award (2023) Best Student Paper Award (ACSAC 2007) Guo Moruo Scholarship (USTC, 1996) Graduate Fellowships (University of Massachusetts, 1999-2001) Prof. Zou has advised 14 PhD graduates and numerous Master's/BS students, many now holding academic/industry roles. His funded projects include NSF grants (DGE-2325452, DGE-2042996, DGE-1723587, DGE-1915780), US Army PEO STRI collaborations, and Florida Center for Cybersecurity seed grants. He leads the cyberforensic.net educational platform and has contributed to free IoT security labs for professionals.

• Public Transportation Electrification
• Electric Vehicle Drive Control
• Battery Degradation Modeling
• +4 more

Dr. Syed M Nawazish Ali is a Research Fellow at RMIT University’s School of Engineering (City Campus, Australia) since July 2022. He has held academic roles at Macquarie University (Casual Academic, 2018–2020) and Aalborg University (Visiting Research Fellow, 2019–2020). His industry experience includes roles at Evenergi Pty Ltd and Magnetica Limited in Australia. Education: B.Sc. in Electrical Engineering, University of Engineering & Technology, Lahore (2013) M.Sc. in Electrical Engineering, COMSATS University, Lahore (2016) Ph.D. in Electrical Engineering, Macquarie University, Sydney (2022) Research Interests: Dr. Ali specializes in data analysis of public transportation electrification, electric vehicle (EV) drive control, battery degradation studies, optimization algorithms for battery health estimation, and grid impact of EV penetration. His work addresses thermal degradation in EV motor drives, fault-tolerant inverter designs, and sustainable integration of renewable energy with transport systems. Article Trends: His recent publications focus on harmonizing EV charging with smart grids, optimizing energy control via Machine Learning and genetic algorithms, and enhancing fault tolerance in power electronics. Key themes include thermal management of motor drives, multi-energy system integration, and decentralized energy trading models. Scientific Awards: Postgraduate Research Fund grant and DVC Research Commendation, Macquarie University (2020) 1st position in oral research presentation at Macquarie University’s Higher Degree Research Conference (2019) International Research Training Program Scholarship (Commonwealth Government-funded) for Ph.D. (2017) Prime Minister’s Laptop Scheme award (2016) Top of FA14-MSEE batch at COMSATS University (2016) KAKEZAI Scholarship at UET Lahore (2011–2013) Supervision & Grants: Available for Masters/PhD supervision in EV control systems. Secured grants including the Commonwealth Government’s International Research Training Program Scholarship and Macquarie University’s Postgraduate Research Fund. Key projects: C4NET Project 66 (Zero Emission Bus Trial) and EV battery degradation control research.

• Electromagnetics
• Microwave and Antenna Technologies
• Fuzzy Logic
• +1 more

Hacı Güzel GÜLEÇ is a Lecturer at Kastamonu University , affiliated with the Cide Rıfat Ilgaz Vocational School and Electronics and Automation Department . He has been in this position since 2010 and served as Department Head from 2013 to 2018. His academic journey includes a PhD in Electrical-Electronics and Computer Engineering (2022) from Düzce University , an MSc in Electrical and Electronics Engineering (2017) from Karabük University , and a BSc in Electronics and Communication Engineering (2003) from Süleyman Demirel University . His research focuses on Electromagnetics , Microwave and Antenna Technologies , Fuzzy Logic , and Semiconductors . He has published extensively on applications of Artificial Neural Networks (ANN) and ANFIS in energy systems, material science, and power electronics. Notable trends in his work include: Renewable energy optimization using ANN (e.g., solar and wind energy prediction). DC-DC converter designs for energy storage (e.g., Arduino-based battery charging systems). Electromagnetic field analysis in applied physics (e.g., solenoid modeling). Predictive modeling for composite materials (e.g., Cu-TiC composites). His collaborative efforts span institutions like Afyon Kocatepe University and Karabük University , working with researchers such as Ünal Kaya , Hüseyin Demirel , and Murat Caner . No formal awards or student advising records are publicly documented.

• Embedded Systems
• Hardware/Software Co-design
• Energy-efficient AI Accelerators
• +7 more

Oliver Bringmann is a full Professor and head of the Chair of Embedded Systems at the University of Tübingen, Germany, and a member of the board of directors at the FZI Research Center for Information Technology. His research integrates embedded-system design, energy-efficient AI accelerators, dependable automotive perception, and medical AI for capsule endoscopy. Education & Career Ph.D. in Computer Science, University of Tübingen, 2001 Diploma in Computer Science, University of Karlsruhe (KIT) Head, Chair of Embedded Systems, University of Tübingen (since 2012) Deputy spokesperson & spokesperson, Dept. of Computer Science, University of Tübingen (2014-2022) Board of Directors, FZI Research Center for Information Technology Research Interests Bringmann’s group pioneers hardware/software co-design for ultra-low-power Edge-AI , developing RISC-V based accelerators, compiler-aware neural-architecture search, and real-time perception systems for autonomous driving and medical devices. Key topics include: Energy-efficient AI architectures (“Edge AI”) and custom accelerator generation Robust collective perception under adverse weather (LiDAR, camera, V2X fusion) Timing/power-predictable embedded software and system-on-chip design automation Hardware-assisted security and safety for automotive & IoT systems AI-driven capsule endoscopy localization and anomaly detection Recent Publication Trends His 2024-2025 articles reveal a strong shift toward robust multimodal perception for automated driving (snow, fog, collective LiDAR fusion) and Edge-AI medical devices (capsule endoscopy with multi-task CNNs). Core contributions span dataset generation (SCOPE, SnowyLane), safety metrics (LSM), and fast performance modeling for DNN accelerators. Professional Service & Projects Executive/Steering Committees: IEEE/ACM DATE, CODES+ISSS, CASES, ITSS conferences EU CATRENE EDA roadmap chapter lead (Embedded Software & ESL-to-RTL) Principal investigator in Scale4Edge, OCEAN12, enerDAG and other national projects on energy-efficient sensorics and secure energy trading. His group maintains extensive collaborations with automotive and semiconductor industry, focusing on dependable, energy-aware embedded intelligence.

• RFID Technology
• Internet of Things (IoT)
• Wireless Sensor Networks
• +3 more

Luca Catarinucci is affiliated with the University of Salento in Lecce, Italy. His research focuses on RFID technology, IoT systems, wireless sensor networks, and antenna design. He has collaborated extensively with researchers like Riccardo Colella and Luciano Tarricone, producing impactful work in smart healthcare systems, energy-autonomous sensors, and 3D-printed electromagnetic devices. His contributions span theoretical advancements in circuit design and practical applications in fields like environmental monitoring and biomedical research. Recent work emphasizes energy-efficient solutions and integration of AI-driven microcontrollers. Key research interests include improving RFID tag performance, developing IoT-aware architectures for healthcare, and advancing additive manufacturing techniques for antenna prototyping. His publications reflect a deep engagement with both hardware innovation and system-level integration of smart technologies. Notable projects include energy-autonomous parking sensors and novel RFID-based medical monitoring systems. Collaborations involve cross-disciplinary efforts in electrical engineering, computer science, and biomedical engineering, with applications ranging from industrial automation to personalized healthcare solutions. While no formal awards are listed, his prolific publication record and repeated funding of experimental platforms indicate significant academic influence.

Maria SchweigelView profile

Professor

• Artificial Intelligence Algorithms
• Optimization Techniques
• Software Development
• +4 more

Professor Maria Schweigel Prof. Maria Schweigel is a Professor at the Department of Autonomous Systems, Schmalkalden University of Applied Sciences. Her teaching focuses on automation control, electronic control systems, robotics, and embedded systems. She leads the research group 'Eingebettete Diagnosesysteme' (Embedded Diagnostic Systems) and specializes in artificial intelligence algorithms, optimization using genetic and evolutionary methods, and biosignal analysis for anesthesia and sleep studies. Her research spans robotics, embedded systems, image processing, and software development with tools like C/C++, MATLAB/Simulink, and LabView. Key projects include real-time EEG classification for anesthesia monitoring, low-SNR biomedical signal extraction, and SVM-based classification on resource-constrained platforms. She has contributed to international conferences like ECT and IWK TU Ilmenau, focusing on interdisciplinary applications in medical technology and autonomous systems. No scientific awards were explicitly listed in the provided materials. Her advising and grants are not detailed here, but her extensive publication record (2009–2016) demonstrates active involvement in collaborative research with colleagues like Wenzel, Walther, and Baumgart-Schmitt. She co-developed tools such as the Multi-EEG-Viewer and explored wireless biomedical signal transmission for relaxation control systems.

Miriam ClincyView profile

Professor

• Mathematics Education
• Physics Education
• STEM Teacher Training
• +3 more

Prof. Miriam Clincy is a Professor of Mathematics, Physics, and STEM Teacher Training at Hochschule Esslingen University of Applied Sciences. She holds roles as University Representative for Higher Education and Associated Member of the Tübingen School of Education (TüSE). Her work focuses on innovative educational technologies, particularly online assessment systems like STACK in Moodle, and teacher training methodologies. Education: PhD in Physics, University of Edinburgh (2003) Physics Diploma (M.Sc. equivalent), Universität Heidelberg & University of Edinburgh (2000) Research Interests: Prof. Clincy bridges theoretical physics and STEM education. Key areas include online testing innovations, peer feedback systems, and teacher training through simulation-based assessments. She also maintains research on non-equilibrium systems from her earlier work in statistical mechanics. Publications: Recent work emphasizes educational technology (e.g., sandbox testing environments, Moodle integration) alongside foundational physics contributions in driven systems and phase transitions. Awards: Baden-Württemberg-Zertifikat für Hochschuldidaktik (2020) Advising & Grants: As Dean of Study (2019–2021), she oversaw TVET teacher training accreditation. Current projects include collaborative initiatives with the University of Tübingen and participation in the „Lehre hoch n“ network for educational innovation. Labs/Teams: Active in Hochschule Esslingen’s Basic Sciences faculty, contributing to curriculum development and assessment frameworks.

Patrick Robert SchaumontView profile

Professor

• Hardware Security
• Cryptographic Engineering
• Tamper-Resistant Design
• +4 more

Patrick Robert Schaumont is a Professor of Electrical & Computer Engineering at Worcester Polytechnic Institute (WPI), holding the Joseph Samuel S. Satin Distinguished Fellowship. He specializes in hardware security, cryptographic engineering, and tamper-resistant design. His research focuses on challenges in secure hardware/software codesign, side-channel analysis, and fault injection countermeasures. Education: BS in Electrical Engineering from Ghent University College (1988), MS in Computer Science from University of Ghent (1990), and PhD in Electrical Engineering from UCLA (2004). Research Interests: Schaumont's work spans hardware security topics such as cryptographic implementation security, embedded systems protection, and secure design methodologies. He emphasizes real-world demonstrations and student-driven innovation, with projects like the Vernam Lab at WPI. His research has produced numerous demonstrators and open-source tools, including the SCAPEgoat library for side-channel analysis. Notable Contributions: IEEE Fellow (2025), Dean's Excellence Professor, and Radboud Excellence Program Visiting Professor. He has advised over 50 students, many of whom work at leading tech companies like NVIDIA, Google, and Qualcomm. Labs & Teams: Director of the Vernam Lab, focused on advancing secure hardware and embedded systems research. Collaborates with industry and academia on topics like post-quantum cryptography and fault-resistant designs.

• Embedded Systems
• Ambient Intelligence
• Internet-of-Things
• +4 more

Răzvan-Virgil Bogdan is an Assistant Professor at the Faculty of Automation and Computer Science, Politehnica University of Timisoara (PUT), with expertise in Embedded Systems , Automotive Software Testing , and Dependability of Computer Systems . His research bridges Internet-of-Things and e-Learning , focusing on reliability, testing, and intelligent environments. University: Politehnica University of Timisoara School: Faculty of Automation and Computer Science Contact: razvan.bogdan@cs.upt.ro | Room B413A Research Focus: Bogdan's work emphasizes system reliability , embedded software quality , and automotive electronics , with projects like GEMSCLAIM (energy-efficient mobile systems) and HURO JCBICS (cross-border educational infrastructure). He also drives industrial collaborations (e.g., AC_G_xBU_Academy with Continental Automotive Romania). Teaching Career: Bogdan has taught courses such as Embedded Systems , Microprocessor Systems , and Advanced Embedded Systems at PUT, blending theoretical rigor with hands-on lab work in the Vector Lab . His pedagogical approach integrates software testing methodologies and energy-aware system design . Scientific Contributions: He has contributed to embedded systems validation, security frameworks for distributed systems (e.g., TD/54 project ), and automotive software tools. His publications span ACTA POLYTECHNICA HUNGARICA , BRAIN: Broad Research in Artificial Intelligence and Neuroscience , and conference proceedings like IEEE Sustainability and SACI. Awards: Mercy Diplomas 2021 Mercy Diplomas 2020 Memberships: IEEE ACM Prospective Students: Bogdan actively seeks undergrad, Masters, and PhD candidates, emphasizing practical research in automotive embedded systems and IoT . His lab provides direct access for project collaboration and discussions.

Lois R GrayView profile

Lecturer

• Engineering Education
• Hyflex Learning
• Gender Diversity in Education
• +3 more

Lois R Gray is a Lecturer at the University of the Highlands and Islands (UHI) North West and Hebrides Energy Innovation Team since 2006, specializing in Electrical and Electronic Engineering. She holds a Master in Science (Sustainable Energy Solutions) and a Bachelor of Science (Electronics Engineering), with postgraduate certifications in education and leadership. Teaching Expertise: Curriculum Leader for Electrical and Electronic Engineering (2016-2019), Module Leader for BEngH Electronics, Control & Instrumentation, and Microcontrollers. Research Focus: Work and project-based education, hyflex/hybrid learning models, gender diversity in engineering education, and inclusive pedagogical frameworks. External Collaborations: Academic Lead Developer at UHI (2019-2022), former Senior Electronics Design Engineer at Thales Defence Systems (1985-2003), and consultant roles in battery technology. Her work intersects with UN Sustainable Development Goals, particularly in education and sustainable energy. Key projects include advancing gender equality through pro-social approaches and improving engineering pedagogy. She has received prestigious awards such as the National Teaching Fellowship (2021) and Senior Membership of IEEE (2020). Scientific Awards: Chartered Engineer (2003) National Teaching Fellowship (2021) Senior Membership of IEEE (2020)

• Cybersecurity
• Cyber-physical systems security
• Social network analysis
• +7 more

Andrey Chechulin is a Professor at the St. Petersburg Federal Research Center of the Russian Academy of Sciences, Institute of Informatics Problems, where he leads research in cybersecurity within the Information Security Department. His work spans over 15 years with more than 80 publications in top-tier security conferences and journals. Dr. Chechulin's primary research interests include cybersecurity, cyber-physical systems security, social network analysis, and bot detection. His work focuses on developing practical methodologies for incident investigation, access control, and vulnerability assessment. He has pioneered approaches for analyzing social media bots, particularly on the VKontakte platform, and developed innovative frameworks for cryptocurrency transaction anomaly detection using neural networks. His publication record shows consistent contributions to major security venues including PDP, COMSNETS, and Sensors, with a notable increase in output since 2018. Recent work demonstrates his adaptation to emerging security challenges in AI-generated content detection and blockchain security. Best Paper Award at PDP 2021 Cybersecurity Research Excellence Award (2019) Dr. Chechulin maintains strong collaborative relationships with Igor V. Kotenko (60 joint publications), Dmitry Levshun, and Maxim Kolomeets. His research often bridges theoretical security concepts with practical implementations for real-world systems, including smart city infrastructure and automotive security applications.

• Digital Design Education
• Low-Power Electronics
• Hardware-Software Co-Design
• +3 more

Dr. Mark Johnson is a Senior Lecturer at the Elmore Family School of Electrical and Computer Engineering, Purdue University, located in West Lafayette, Indiana. His role focuses on advancing educational methodologies and curriculum development in electrical and computer engineering. He is affiliated with Purdue’s Brown Family Hall and maintains an active research agenda centered on digital design education, low-power electronics, and hardware-software co-design. Research interests include integrating industry standards (e.g., ABET) into teaching, FPGA applications, and fostering student success through innovative pedagogical frameworks. His work emphasizes practical tools like SOC prototyping and embedded systems design, alongside active learning strategies and technology integration in classrooms. Publications highlight a consistent focus on educational innovations, such as tablet-based documentation, dual-core prototyping challenges, and FPGA performance analysis. Despite no listed formal awards, his contributions to curriculum design and student project resources have significantly impacted undergraduate education in electrical engineering. No formal advisees or grants are listed, but his teaching portfolio includes senior project courses on x86 motherboards and RTL code structures. His work reflects a commitment to bridging academic theory with hands-on engineering practice.

Branden GhenaView profile

Assistant Professor

• Embedded Systems
• Networking Protocols
• Internet of Things
• +3 more

Branden Ghena is an Assistant Professor of Instruction in the Department of Computer Science at Northwestern University, part of the McCormick School of Engineering. His research focuses on embedded systems, networking protocols for IoT, and operating systems, particularly through the Tock project. He holds a PhD in Electrical Engineering and Computer Science from UC Berkeley (2020), an MSE in Computer Science and Engineering from the University of Michigan (2017), and a BS in Computer Engineering and Electrical Engineering from Michigan Technological University (2013). His research interests include resource-constrained embedded hardware/software, wireless protocols like Bluetooth Low Energy, LoRaWAN, and LTE-M, and energy-harvesting platforms such as Signpost and PowerBlade. He emphasizes open-source contributions and practical embedded systems education. Teaching includes courses like CS211 (C/C++), CS213 (Computer Systems), CS343 (Operating Systems), CE346/CS346 (Microcontroller Design), and CS433 (Wireless IoT Protocols). He has received notable awards, including the 2022 Cole-Higgins Excellence in Teaching Award and the Instructor of the Year award. His teaching philosophy centers on bridging theory to real-world engineering challenges. Awards : Cole-Higgins Award for Excellence in Teaching (2022) Instructor of the Year (2022) Outstanding Graduate Student Instructor (UC Berkeley, 2018) NSF Graduate Research Fellowship (2014–2017) Labs/Teams : Principal contributor to Tock OS, an open-source embedded OS Signpost platform for city-scale sensing Design of PowerBlade energy meters and Buckler development boards His advising includes supporting undergraduate research, with several students proceeding to PhD programs. He has also contributed to curriculum design, including redesigning labs for embedded systems courses using modern tools like Git, Make, and Rust. Branden actively participates in academic service roles, such as faculty search committees and workshop program committees.

Jaedo ParkView profile

Professor

• Energy conversion/storage systems
• High-performance machine drive systems
• Renewable energy systems
• +4 more

Jae-Do Park is a Professor of Electrical Engineering at the University of Colorado Denver, affiliated with the College of Engineering, Design and Computing. He joined the faculty in 2009 with 12 years of industry experience in electric machine drive systems and has since focused on flywheel energy storage systems and microgrid technologies. His research is sponsored by the National Science Foundation (NSF), Office of Naval Research (ONR), and private industry. Education: PhD in Electrical Engineering (implied by title). Research interests include high-performance machine/drive systems, renewable energy applications, energy storage/harvesting, and distributed power systems. Current projects involve DC-bus microgrid systems interfacing with wind turbines, PVs, and energy storage, as well as low-power harvesting for microbial fuel cells. He leads a state-of-the-art power laboratory offering courses like ELEC 3724 and ELEC 4170. Awards: 2016 NSF CAREER Award Grants & Sponsorships: NSF Office of Naval Research Private industry partnerships Labs: Built a power laboratory for hands-on student training in power, machine, and drive technologies.

Dwi RahayuView profile

Lecturer

• Computer Science
• Data Science
• Smart Home Technologies
• +3 more

Dwi Rahayu is a Lecturer in the Department of Human Centred Computing at Monash University. She is a Chief Investigator in the 2025 project 'Integrating Equity, Diversity, and Inclusion (EDI) into ICT Education: A GenAI-Powered Approach to Curriculum Development' funded by the Australian Council of Deans of Information and Communications Technology (ACDICT). Her research spans smart energy systems, wireless sensor networks, data science, and educational technology. Her expertise contributes to UN Sustainable Development Goals, particularly in advancing equitable and inclusive education through technology. Research collaborations include work on multimodal analytics for team teaching, sentiment analysis of e-commerce reviews, and material science innovations in metallurgy. Key research trends include optimizing data routing in sensor networks, developing context-aware energy solutions, and leveraging large language models for topic and sentiment analysis. She has advised multiple projects involving energy management, healthcare practices, and corporate financial analysis. No scientific awards are explicitly mentioned in the provided texts. Her work also involves community-focused initiatives, such as improving web programming skills through Laravel frameworks and enhancing logical thinking via game development in adolescents. Projects often emphasize practical applications of technology in public administration and healthcare contexts.