Find Academic Supervisors

• Wide-bandgap semiconductor devices
• GaN power devices
• Semiconductor device physics
• +6 more

Dr. Hua Mengyuan is an Associate Professor in the Department of Electronic and Electrical Engineering at Southern University of Science and Technology (SUSTech), where she has been conducting research since September 2018. She was promoted to Associate Professor in May 2024 after serving as an Assistant Professor from 2018 to 2024. Prior to joining SUSTech, she completed a postdoctoral fellowship at The Hong Kong University of Science and Technology (HKUST) from 2017 to 2018. Dr. Hua received her PhD in Electronic and Computer Engineering from HKUST (2013-2017) and earned her B.Sc. in Physics from Tsinghua University (2009-2013). Her academic journey reflects a strong foundation in both physics and electronic engineering, which informs her interdisciplinary research approach. Dr. Hua's research focuses on wide-bandgap semiconductor devices, particularly GaN-based power devices. She investigates device fabrication, material characterization, device physics, and reliability/stability issues. Her work spans fundamental semiconductor physics to practical applications in power electronics. The research encompasses both experimental and computational approaches, including 2D device simulation and modeling. Her group explores novel materials like Ga 2 O 3 monolayers and heterostructures for next-generation electronic applications. Analysis of Dr. Hua's recent publications reveals a strong focus on reliability mechanisms in GaN power devices, particularly threshold voltage instability and dynamic on-resistance issues. Her work increasingly incorporates computational methods, including machine learning potentials for material simulation. There's a clear progression toward exploring novel 2D materials and heterostructures, particularly involving gallium oxide and related compounds, for both electronic and optoelectronic applications. 2017 IEEE ISPSD Charitat Award (Best Young Scholar Award) 2018 Shenzhen Overseas High-Caliber Personnel 2017-2023 IEEE Trans. Electron Devices Golden Reviewer 2018-2023 IEEE Electron Device Lett. Golden Reviewer 2020 IEEE ICSICT Outstanding Youth Scientific and Technological Paper Award National Special Support Program for High-level Talents, 2023 Dr. Hua actively mentors students and researchers, recruiting PhD students, master's students, research assistants, and postdoctoral fellows to her group. Her research has been supported by provincial and ministerial projects, including two projects she has presided over. She serves as an editor for IEEE Trans. Electron Devices and has applied for six invention patents. Her group is currently working on next-generation wide-bandgap semiconductor device research with applications in power electronics and miniaturized power supplies. Dr. Hua's research group operates within the College of Engineering at SUSTech, utilizing advanced semiconductor fabrication and characterization facilities. Her team collaborates with international researchers, as evidenced by publications with colleagues from institutions like HKUST. The group maintains strong connections with the global semiconductor research community, regularly presenting at leading conferences including IEDM and ISPSD.

Roar SkogstromView profile

Senior Lecturer

• Adaptive systems
• Reconfigurable hardware
• Robotics
• +2 more

Roar Skogstrom serves as a Senior Lecturer at the University of Oslo, where he is actively affiliated with the Robotics and Intelligent Systems Research Group (ROBIN). His academic role centers on advancing research and education in intelligent systems within the university's technical framework. Skogstrom's research portfolio prominently features adaptive systems that dynamically respond to environmental changes, reconfigurable hardware architectures enabling real-time circuit modification, and robotics applications integrated with artificial intelligence. His work leverages evolutionary computation principles to optimize system design and functionality, creating synergies between hardware reconfigurability and intelligent control mechanisms. This interdisciplinary approach bridges theoretical computer science with practical engineering solutions for autonomous systems. The ROBIN research group provides Skogstrom's primary collaborative environment, focusing on cutting-edge developments in robotics and intelligent systems through cross-disciplinary initiatives that integrate machine learning, hardware design, and adaptive control methodologies.

• Internet of Things
• Computer Networks
• Neural Networks

Dr. Timenko Artur Valentynovych serves as Senior Lecturer at Zaporizhia National Technical University's Department of Computer Systems and Networks within the Faculty of Computer Science and Technologies. Holding a specialist degree in Computer Systems and Networks (2010), he maintains active roles in both teaching and research. His educational background includes graduation from Zaporizhia National Technical University in 2010 with specialization in Computer Systems and Networks. Professional development is evidenced through continuous research output and curriculum development activities. Research focuses on Internet of Things , computer networks , and neural networks , with particular emphasis on protocol verification, device interoperability, and embedded system optimization. Recent work explores semantic chatbots for IoT management, air quality monitoring systems, and MQTT protocol compatibility analysis. His methodology integrates formal verification techniques with practical hardware implementation. Publication trends from 2020-2024 reveal consistent contributions to IoT infrastructure (45%), network protocols (30%), and AI applications (25%). Key journals include Shipbuilding & Marine Infrastructure and Scientific Notes of Vernadsky University. Research demonstrates strong industry relevance with applications in smart homes, environmental monitoring, and critical systems. Teaching responsibilities encompass Python programming basics, computer network design, IoT fundamentals, and wireless technologies. His laboratory guidelines for Embedded Computer Systems and IoT disciplines reflect practical, hands-on pedagogy. Current projects involve developing automated temperature control systems and network anomaly detection using hybrid neural networks. Professional activities include active participation in Ukrainian academic conferences and international collaborations through ZNTU's research infrastructure. His work contributes to the university's strategic focus on digital innovation and sustainable technology development.

• High-performance computer architectures
• Cloud-computing systems
• Internet-of-Things (IoT)
• +7 more

Panayiotis D. Tsanakas is a Professor of Computer Engineering at the National Technical University of Athens (NTUA), serving in the School of Electrical and Computer Engineering within the Department of Information Technology and Computers. Since 2023, he has held the position of Dean of the School of Electrical and Computer Engineering at NTUA. His academic career spans several decades with significant contributions to computer engineering and informatics. His educational background includes a Dipl. in Electrical Engineering from Aristotle University of Thessaloniki (1982), an MSc in Computer Engineering from Ohio University (1985), and a PhD in Computer Engineering from National Technical University of Athens (1988). Tsanakas specializes in high-performance computer architectures, cloud-computing systems, Internet-of-Things (IoT), and AI-based applications in medicine and biology. His research spans parallel and distributed processing, computer architecture, supercomputing applications, and biomedical engineering. He has published over 100 research papers in established scientific journals and conferences, with recent work focusing on AI applications in healthcare, cloud computing security, and advanced medical monitoring systems. His recent publications demonstrate a strong trend toward applying artificial intelligence to healthcare challenges, particularly in mental health monitoring, medical imaging, and biomedical diagnostics. His work frequently combines computer architecture expertise with medical applications, creating innovative solutions for healthcare challenges. 2023-now: Dean of the School of Electrical and Computer Engineering at NTUA 2018-2020: Board member of the EuroHPC Joint Undertaking 2004-2019: Chairman of GRNET, the national research and education network 2005-2009: Member of EETT (The Hellenic Electronic Communications and Posts Regulator) Tsanakas has supervised eight doctoral dissertations and more than 50 diploma theses. He has co-authored seven textbooks on computer systems that have been adopted by several higher-education institutions. His professional experience includes significant roles in national infrastructure development, including leading the design and deployment of advanced networking and cloud services for Greek academic institutions and healthcare facilities.

• Cybersecurity
• Cyber Warfare
• Machine Learning
• +7 more

Professor Shin Dong-gyu is a faculty member in the Department of Computer Engineering at Sejong University, where he leads research in cybersecurity, cyber warfare, and machine learning applications. He is affiliated with both the Cyber Warfare Research Institute and the Smart Convergence Technology Research Institute, directing the Multimedia & Internet Lab which has produced over 100 graduates since its founding in 1998. His students have gone on to work at government research institutes, corporate research centers, and mid-sized technology companies. Professor Shin's research focuses on cybersecurity with particular emphasis on cyber resilience, intrusion detection systems, malware analysis, cyber range development, and the application of machine learning to security challenges. His work bridges theoretical security frameworks with practical defense mechanisms, often incorporating military and national security applications. The research spans both defensive cybersecurity measures and offensive cyber operations analysis. His recent publications (2023-2025) demonstrate a consistent research trajectory in cyber resilience metrics, data sanitization against poisoning attacks, DNS security, layered defense approaches for critical infrastructure, and the integration of Zero Trust architecture with threat modeling frameworks like MITRE ATT&CK. His work shows increasing sophistication in applying deep learning techniques to security problems while maintaining focus on practical, implementable security solutions. Professor Shin actively mentors graduate students through doctoral dissertation research, master's thesis research, and specialized courses including Algorithms and Practice, Computer Vision and Deep Learning for Drones, and Special Topics in Smart Computing Technology. His teaching schedule indicates regular engagement with both master's and doctoral students.

Park Ki-hoView profile

Associate Professor

• Computer Architecture
• Embedded System Design
• IoT System Design
• +4 more

Dr. Park Ki-ho is an Associate Professor at the Department of Computer Engineering, Sejong University. His research focuses on computer architecture, embedded systems, IoT systems, and low-power design methodologies. Academic Background: PhD in Computer Science from Yonsei University Professional Experience: Senior Engineer at Samsung Electronics, Post-Doctoral Research Associate at University of Utah Research Interests: Develops innovative solutions for sensor hub design , memory systems , and machine learning hardware acceleration . Key areas include: Non-Volatile Memory (NVM) management 3D Integrated Circuit memory bandwidth optimization Intelligent Edge Device architectures Hybrid Cache Architectures Model Compression Techniques On-Device AI Processing Recent Publications demonstrate expertise in in-memory acceleration , sparse matrix representation , and large language model inference . His work bridges theoretical advancements with practical implementations for IoT and AI applications.

Paolo Di GiamberardinoView profile

Associate Professor

• Automatica
• Biomedical Systems
• Epidemic Modeling
• +9 more

Paolo Di Giamberardino is an Associate Professor in Control Engineering (09/G1, ex ING-INF/04) at the Department of Computer Science and Systems Engineering 'Antonio Ruberti', Sapienza University of Rome. He holds a Master's degree in Electronic Engineering and a PhD in Systems Engineering from the same institution. Currently teaching Digital Control Systems (Master's in Control Engineering) and Fundamentals of Automatic Control (Bachelor's in Information Engineering), his academic career spans over 25 years with significant contributions to university governance as a member of Departmental and Faculty Councils. Education: Master's in Electronic Engineering, PhD in Systems Engineering (Sapienza University of Rome) Research Interests focus on systems analysis and control, with applications to biomedical systems (HIV/AIDS dynamics, portal hypertension diagnosis), epidemic modeling (arboviruses, measles, multi-group populations), optimal control for resource allocation, photonic control systems, and MEMS-based biomedical devices. His work bridges theoretical control methodologies with practical implementations in healthcare, robotics, and energy management. Recent Publications highlight innovative applications in photonic logic gates, advanced epidemic containment strategies, and machine learning integration for medical diagnostics. A unifying theme is the use of control theory to address complex biological and medical challenges. Scientific Awards : 2018 Best Short Paper/Poster Award at ICINCO Academic Contributions include leadership in national research projects (PRIN 2005, 2008), participation in international conferences (WSEAS CSCC, ICINCO), editorial roles (IEEE ICRA Associate Editor, International Journal on Computer Methods in Biomechanics), and extensive supervision of undergraduate and graduate theses. His career demonstrates a commitment to both theoretical advancements and real-world applications in systems and control engineering.

Richard LeibbrandtView profile

Lecturer

• Cognitive Science
• Machine Learning
• Computational Linguistics
• +4 more

Dr. Richard Leibbrandt is a Lecturer at Flinders University's College of Science and Engineering, with full membership in the Medical Device Research Institute and associate membership in the Flinders Digital Health Research Centre. He holds a PhD from Flinders (2009) focused on computational models of language acquisition in children. His interdisciplinary background bridges psychology and computer science. Research Interests: Leibbrandt specializes in cognitive science, human-machine language learning, and human-centered computing systems. His work spans virtual agents, digital health applications, neural behavior modeling, and AI-driven diagnostic tools. Key domains include: Machine learning in healthcare (e.g., PCR optimization, mental health sensing) Virtual reality systems for behavioral research Social determinants of health analytics Computational neuroscience (neural coding, insect pursuit dynamics) Research Output Trends: Recent publications (2020-2025) demonstrate strong emphasis on AI/ML applications in biomedicine, including smart diagnostic devices, virtual reality behavioral platforms, and computational neuroscience. Health technology innovation is a consistent theme, with 30% of works involving clinical translation studies. Projects & Supervision: Active in ARC/NHMRC initiatives including 'From Talking Heads to Thinking Heads' and neuroimaging projects. Supervised 2 AI-focused students. Secured grants for virtual patient training systems in clinical education. Affiliations: Contributes to UN Sustainable Development Goals through digital health research. Associated labs include the Medical Device Research Institute (full member) and Flinders Digital Health Research Centre (associate member).

• Antenna Design
• Wireless Communication Systems
• mm-Wave Technology
• +4 more

Rob Maaskant is a Professor at Chalmers University of Technology in the Department of Communication, Antennas and Optical Networks . His research focuses on advanced antenna systems, particularly in mm-Wave and massive MIMO technologies, with significant contributions to full-duplex communication, reconfigurable intelligent surfaces (RIS), and hybrid over-the-air (OTA) testing environments. Key Research Themes : Antenna array optimization, self-interference mitigation, contactless IC integration, and beamforming for satellite and terrestrial communication systems. Recent Publications (2025-2023) highlight innovations in neural network-driven antenna synthesis, back-scattering RIS characterization, and wideband quadraxial feed designs, emphasizing practical implementations in mm-Wave and 5G/6G systems. Collaborative Projects include hybrid test chamber development with colleagues like Oleg Iupikov and Pavlo Krasov, and co-design of power amplifier-integrated arrays with Marianna Ivashina.

• Optical Communication
• Fiber Optics
• Photonics
• +4 more

Magnus Karlsson is a Professor of Photonics at Chalmers University of Technology and serves as Deputy Dean of the Department of Microtechnology and Nanoscience (MC2), responsible for research and graduate education. He co-leads the fiber optics research group with Prof. Peter Andrekson and co-founded the Chalmers Center for Optical Communication (FORCE) in 2010 alongside Prof. Erik Agrell. Karlsson teaches courses in Wireless and Photonics System Engineering and Photonics and Lasers, and holds editorial leadership as Editor-in-Chief of the IEEE/Optica Journal of Lightwave Technology. His research centers on optical fiber communication systems with expertise in light propagation, polarization dynamics, and nonlinear optical effects. Current investigations focus on capacity-enhancing techniques including Voronoi constellation geometric shaping, silicon nitride integrated photonics for microwave applications, and machine learning-driven polarization sensing. His work bridges theoretical modeling of phase-noise channels with experimental validation of novel receiver architectures for deep-space communication through atmospheric turbulence. Recent publications reveal strong trends in overcoming nonlinear transmission limits through multidimensional modulation and MIMO processing for coupled-core fibers. His group pioneers integrated photonic solutions for high-frequency signal generation while advancing real-time network monitoring capabilities in operational fiber infrastructure. Key themes include power-efficient signaling, distributed sensing, and computational methods for channel compensation. Karlsson's leadership in the fiber optics group and FORCE drives collaborative research in next-generation optical networks. His editorial role and ECOC program committee membership position him as a key influencer in shaping global optical communication standards and disseminating cutting-edge research advancements.

• Computational Neuroscience
• Biophysics
• Neural Networks
• +6 more

Professor Gaute T. Einevoll is affiliated with the Department of Physics at both the University of Oslo and the Norwegian University of Life Sciences (NMBU) . His research focuses on computational neuroscience , integrating methods from physics, mathematics, and computer science to understand neural mechanisms underlying biological intelligence. Key areas: Neural network modeling , brain signal analysis (EEG, MEG, LFP), computational psychiatry Leadership roles: Co-leader of Norwegian node of INCF since 2007; Partner in EU Human Brain Project since 2013 His recent work explores topological neural representations , GABAB receptor signaling , and ultra-high density electrode technology , as evidenced by publications in 2024-2025. He also develops open-source tools like LFPy and Uncertainpy for biophysical modeling. Active in science communication, he hosts the podcast "Vett og vitenskap med Gaute Einevoll" , discussing neuroscience and related disciplines.

• Digital signal processing
• Wireless communications
• Signal processing
• +3 more

Xiaodan Pang is a Tenure Professor at Riga Technical University (RTU) specializing in cutting-edge photonics and communications research. Her work focuses on developing next-generation optical and wireless technologies for high-speed data transmission systems, with significant contributions to silicon photonics, terahertz communications, and integrated sensing and communication architectures. Her primary research interests include: Digital signal processing Wireless communications Signal processing Fiber optics Optoelectronics Photonics Professor Pang's recent publications demonstrate leadership in overcoming fundamental challenges in high-speed communications. Her 2025 work spans silicon photonics ring-resonator modulators for optical-amplification-free links, photonic terahertz chaos systems for secure ranging, and analog fronthaul solutions for 6G networks. Key themes include neural network equalization for ultra-high baudrate transmission, energy-efficient unamplified optical links, and integrated sensing-communication systems leveraging terahertz frequencies. This research directly addresses critical bottlenecks in data center interconnects, 6G mobile infrastructure, and secure high-precision wireless applications. Her technical profile is documented through ORCID (0000-0003-4906-1704), Scopus (54407301300), and Web of Science (D-5032-2015) identifiers, with active professional engagement via LinkedIn.

Tarik DickensView profile

Assistant Professor

• Composites
• Additive Manufacturing
• Structural Health Monitoring
• +7 more

Tarik Dickens is an Assistant Professor in the Department of Industrial and Manufacturing Engineering at the Florida A&M University-Florida State University College of Engineering, Florida State University. He serves as Interim Associate Chair of Materials Science and Engineering, Department Graduate Director for IME, and Associate Director of CREST CoMand. He leads the SMART-CIIM Labs and Industrial Composite Engineering (ICE) lab at the High-Performance Materials Institute. His educational background includes: Ph.D. in Industrial and Manufacturing Engineering, Florida State University (2013) M.S.I.E., Florida State University (2007) B.S.I.E., Florida State University (2005) Dr. Dickens' research pioneers integrative composite manufacturing for online prognosis of composite structures, with emphasis on triboluminescent damage detection systems. His work spans multifunctional composites, additive manufacturing automation, failure prognosis, and Industry 4.0 integration, targeting aerospace, military, and commercial applications through novel sensor-embedded composites and co-additive processing techniques. Recent publications reveal dominant trends in advanced additive manufacturing, particularly field-assisted techniques, vitrimer materials, and in-situ structural health monitoring systems. His research integrates mechanoluminescent composites with real-time damage detection, focusing on robotic additive manufacturing, multi-material systems, and Industry 4.0 connectivity for next-generation composite structures. Scientific recognition includes: InNOLEvation Challenge award ($55,000) for entrepreneurial innovation in composite technology commercialization Dr. Dickens has secured approximately $1.3 million in research funding from NSF and DOD. He has graduated 4 master's students and currently mentors 3 PhD and 1 master's student. His research bridges fundamental material science with industrial applications, emphasizing scalable manufacturing solutions and commercialization pathways. The SMART-CIIM Labs (1.0 and 2.0) and ICE lab at HPMI drive experimental research in additive manufacturing, non-destructive testing, and composite material development, featuring robotic systems for co-additive processing and triboluminescent sensor integration for real-time structural health monitoring.

Rob A. RutenbarView profile

Professor

• Integrated Circuit Design Tools
• Nanoscale Statistics in Chip Design
• Hardware Accelerators for AI
• +3 more

Rob A. Rutenbar is the Senior Vice Chancellor for Research at the University of Pittsburgh and holds Distinguished Professorships in Computer Science (School of Computing and Information) and Electrical and Computer Engineering (Swanson School of Engineering). He also serves as Adjunct Professor at UIUC and CMU. With nearly 40 years in academia and industry, his research focuses on integrated circuit tools, nanoscale chip design statistics, and AI hardware accelerators. He led the University of Illinois' CS department (ranked #5 nationally) and spent 25 years at CMU, where he pioneered analog CAD tools and founded Neolinear (acquired by Cadence) and Voci Technologies (acquired by Medallia). Education: PhD (Computer Engineering, University of Michigan, 1984), MS (Computer Engineering, University of Michigan, 1979), BS (Electrical Engineering, Wayne State University, 1978). Research interests include analog circuit synthesis, statistical methods for nanoscale ICs, and hardware architectures for AI. Notable contributions include the first MOOC on chip design tools (60k+ learners) and the Phil Kaufman Award for lifetime contributions to EDA. His work spans over 200 publications and 14 patents, with funding from DARPA, NSF, and industry partners like Google and IBM. Awards include ACM SIGDA Pioneering Achievement Award (2021), AAAS Fellowship (2019), and NAI Fellow (2019). He has advised over 50 PhD students, many of whom lead industry and academia (e.g., Amith Singhee at IBM, Saurabh Tiwary at Google). Rutenbar's leadership initiatives at Pitt include the Momentum Funds for team science, LifeX Labs for life sciences commercialization, and the Office of Industry Partnerships to align research with industry needs.

Alexey Konstantinovich ShaitanView profile

Professor

• epigenetics
• nucleosomes
• structural bioinformatics
• +3 more

Alexey Konstantinovich Shaitan is a Professor at the Department of Big Data and Information Retrieval and a Leading Researcher at the International Bioinformatics Laboratory within the Faculty of Computer Science at the National Research University Higher School of Economics (HSE). He also serves as a Leading Researcher at the Department of Bioengineering, Faculty of Biology, Lomonosov Moscow State University since 2012. With 17 years of scientific and teaching experience, Shaitan holds the prestigious titles of Professor of the Russian Academy of Sciences and Corresponding Member of the Russian Academy of Sciences (both awarded in 2022). Education: 2022: Professor of the Russian Academy of Sciences 2022: Corresponding Member of the Russian Academy of Sciences 2021: Doctor of Physical and Mathematical Sciences from Lomonosov Moscow State University 2010: Candidate of Physical and Mathematical Sciences 2007: Specialty in "Physics of Condensed Matter," qualification "Physicist" from Lomonosov Moscow State University Shaitan's research focuses on epigenetics, nucleosomes, and structural bioinformatics , bridging computational approaches with molecular biology to understand chromatin structure and function. His work spans from fundamental studies of nucleosome dynamics to applied research in drug discovery and disease mechanisms. He has made significant contributions to molecular dynamics simulations of nucleosomes and the application of AI in computational biology. Analysis of his recent publications reveals a strong trajectory in nucleosome structure and dynamics, epigenetic mechanisms, and computational methods development. His work demonstrates increasing integration of artificial intelligence with traditional bioinformatics approaches, particularly evident in his 2025 publications on AI in drug development. The interdisciplinary nature of his research connects physics, biology, and computer science to address complex biological questions. Scientific Recognition: Corresponding Member of the Russian Academy of Sciences (2022) Professor of the Russian Academy of Sciences (2022) Rector's personal allowance (2021-2022) Bonus for publication in a journal from List A (2025-2026) Shaitan actively contributes to academic education through teaching courses such as "Molecular Modeling" for both undergraduate and master's students at HSE. His international collaborations are evidenced by his previous visiting fellowship at the National Center for Biotechnology Information, National Institutes of Health, USA (2013-2017) and research position at Ulm University, Germany (2009-2011). He regularly participates in major conferences including the Ascona B-DNA Consortium meetings and the Moscow Conference on Computational Molecular Biology. As a key member of the International Bioinformatics Laboratory at HSE and the Department of Bioengineering at Moscow State University, Shaitan leads research at the intersection of computer science, biology, and physics. His laboratory work focuses on advanced computational techniques for understanding chromatin structure, DNA-protein interactions, and their implications for disease mechanisms and therapeutic development.