Find Academic Supervisors

• Nonlinear Optics
• Ultrafast Optics
• Fiber Optics
• +5 more

Federico Belli is a Researcher at Heriot-Watt University's School of Engineering & Physical Sciences and the Institute of Photonics and Quantum Sciences. His work focuses on ultrafast optics, nonlinear photonics, and gas-filled fiber technologies. He has contributed to over 50 research outputs since 2015, with notable expertise in supercontinuum generation, optical solitons, and laser pulse dynamics in hollow-core fibers. His research interests include the development of broadband radiation sources, nonlinear frequency conversion in novel materials, and the application of gas-filled fibers for advanced laser systems. Collaborations span international teams in photonic crystal fiber design, ultrafast laser engineering, and quantum optics. Belli's recent work emphasizes high-power ultra-flat supercontinuum generation in molecular gas-filled fibers, optimizing spectral phase transfer in gas-filled capillaries, and exploring Raman-induced phenomena in hollow-core systems. His contributions bridge theoretical modeling with experimental validation, advancing applications in molecular spectroscopy and ultrafast laser technology. He co-created the 'Near-zero-index ultra-fast pulse characterization' dataset (2022), highlighting his role in advancing ultrafast pulse measurement techniques.

• Extreme Ultraviolet Optics
• Laser Physics
• Plasma Spectroscopy
• +3 more

Muharrem Bayraktar is an Assistant Professor at the MESA+ Institute for Nanotechnology at the University of Twente, specializing in XUV Optics. His research focuses on extreme ultraviolet (EUV) optics, plasma spectroscopy, and adaptive optical systems. He leads projects involving EUV source metrology, piezoelectric thin film actuators, and laser-driven plasma diagnostics. Research Interests: Bayraktar’s work centers on developing advanced EUV light sources for nanolithography applications. He investigates plasma physics in tin-based EUV emitters, optimizing thin film materials for adaptive optics, and improving spectral characterization techniques. His group explores piezoelectric thin films for precision wafer tables and multilayer mirror systems to enhance EUV beam control. Awards: 3rd Place in Simon Stevin Fellow Contest (2016) Best poster award (2018) Best poster award (2019) Advising & Activities: Supervises research on EUV source development and piezoelectric actuators. Engages in international collaborations on plasma diagnostics and adaptive optics. Active in presenting at conferences on topics like ‘EUV Source Metrology’ and ‘Nanolithography Systems’. Labs/Teams: Leads the XUV Optics team within MESA+, collaborating with industry partners on EUV lithography systems and advanced optical components.

• Energy Storage Systems
• High-power Power Converters
• Electrically Propelled Vehicles (Electric, Hybrid, Fuelcell)
• +10 more

Dr. John G. Hayes is a Senior Lecturer at University College Cork (UCC) in the Department of Electrical & Electronic Engineering . He holds a Ph.D. from UCC (1998), an M.S.E.E. from the University of Minnesota (1989), an M.B.A. from California Lutheran University (1993), and a B.E. from UCC (1986). His academic career began at UCC in 2000, and he directs the Power Electronics Research Laboratory (PERL) , focusing on industrial collaborations with companies like Analog Devices and General Motors. Research Interests : Power electronics, magnetic components, electric vehicles, renewable energy systems, smart grids, and energy storage. Notable Work : Joint author of Electric Powertrain: Energy Systems, Power Electronics and Drives for Electric, Hybrid and Fuel Cell Vehicles (Wiley, 2018) and its Chinese edition (2021). Scientific Awards : 2011 IEEE William M. Portnoy Award for Best Paper/Presentation at IEEE ECCE. Advising : Supervised 10+ Ph.D. students across powertrain modeling, magnetic materials, and converter control. Current advisee: Conor Healy (Doctoral Degree). Labs : Leads PERL, which develops high-power converters for automotive and renewable energy applications, partnering with industry leaders like SMA Magnetics and United Technologies.

Chenhao ChuView profile

Professor

• RF/mm-Wave Circuits
• Power Amplification
• AI-Assisted Design Synthesis
• +4 more

Dr. Chenhao Chu is a Professor at ETH Zürich, holding the Professur für Elektronik (Professorship for Electronics). He specializes in RF/mm-Wave circuits, AI-driven design methods, and advanced power amplification technologies. His research focuses on energy-efficient, wideband systems, antenna-in-package solutions, and GaN-based applications for 6G and beyond. Education: Ph.D. in Electronic Engineering, University College Dublin (2022) M.Sc. in Electronic Information Engineering, City University of Hong Kong (2017) Research Interests: His work bridges AI and hardware design, emphasizing reconfigurable circuits , high-linearity power amplifiers , and mm-Wave phased arrays . Key areas include: AI-assisted rapid design synthesis III-V/Si co-design for mm-Wave Efficient antenna integration Dynamic load modulation techniques Awards: Award-winning researcher with distinctions including the First Place Best Student Paper Award (2022 Royal Irish Academy Colloquium) and multiple HEPA-SDC Competition Awards (2021-2022). Recognized for innovations in PA efficiency and design automation. Advising & Grants: Leading projects on 6G PA architectures and AI-driven RF design. Active in IEEE with contributions to conferences like IMS and ARFTG. No explicitly stated grants mentioned but widely cited in industry-academia collaborations. Labs & Teams: Associated with ETH Zürich's Electronics Laboratory, focusing on next-generation wireless systems. Collaborates internationally on 5G/6G infrastructure and mm-Wave innovations.

• Power System Protection
• Power Electronics
• High Voltage Engineering
• +4 more

Michael Kleemann is an Associate Professor at the Faculty of Engineering Technology within KU Leuven , affiliated with the Department of Electrical Engineering (ESAT) . His research focuses on Power System Protection , Wireless Power Transfer , and Renewable Energy Integration , with a particular emphasis on inverter-based grid dynamics and fault analysis. Key Research Areas : Power system protection algorithms, capacitive wireless power transfer, fault location methods in medium voltage cables, and grid stability with high renewable penetration. Notable Projects : Lead projects on Protection of Future Distribution Grids (2021-2025), Capacitive Wireless Power Transfer (2020-2024), and Flux 50 ICON (2024-2026) for low-voltage DC grid protection. Publication Trends : Recent work explores capacitive wireless power transfer materials and control systems (2024-2025), fault detection algorithms for inverter-dominated grids (2023-2025), and machine learning applications in voltage regulation for photovoltaic-rich networks (2024). Teaching : Courses include Power System Protection (JPI322), Power Electronics (JPI0L8/JPI318), and Capacitive Wireless Transfer topics in graduate seminars.

Travis HortonView profile

Associate Professor

• Thermal Energy Conversion Systems
• Building Energy Utilization
• Renewable Energy Integration
• +3 more

W. Travis Horton is an Associate Professor of Civil Engineering at Purdue University, with a courtesy appointment in Mechanical Engineering. He holds a Ph.D. from Purdue University and has over 20 years of academic and industry experience in thermal systems research. His affiliations include the Lyles School of Civil Engineering and the Ray W. Herrick Laboratories at Purdue, focusing on advanced thermal energy conversion systems and sustainable building technologies. Dr. Horton’s research emphasizes integration of HVAC systems with renewable energy, optimization of ground-source heat pumps, and innovative compressor/expander technologies. He leads projects on building energy modeling, combined heat and power systems, and waste heat recovery. His work bridges experimental facilities with computational models for system analysis and optimization. His teaching includes courses on building mechanical systems design and energy audits. He is a licensed Professional Engineer (Michigan) and holds universal refrigerant certification. Active in professional organizations like ASHRAE, his research has produced over 50 peer-reviewed articles since 2001, addressing thermal efficiency, energy systems integration, and sustainable building design.

Michael StevensView profile

Senior Lecturer

• Biomedical Engineering
• Advanced Manufacturing
• Digital Manufacturing
• +6 more

Dr. Michael Stevens is a Senior Lecturer at University of New South Wales (UNSW) Canberra , where he focuses on advanced manufacturing and biomedical device control systems . His work bridges digital manufacturing for SMEs with smart artificial heart technologies , emphasizing industry collaboration and translational research. Specializes in physiological control systems for rotary blood pumps Develops unobtrusive fall detection systems for dementia patients Leads international projects on total artificial heart development Education : B.Eng (Medical - First Class Honours), Queensland University of Technology (2010) PhD in Physiological Control for Biventricular Assist Devices, University of Queensland (2014) Research Trends show consistent focus on: Machine learning for biomedical diagnostics (2018–2025) mmWave radar and thermal sensors in patient monitoring (2021–2024) Computational fluid dynamics in artificial heart modeling (2016–2024) Physiological control algorithms for rotary blood pumps (2011–2025) Scientific Awards : UNSW Scientia Education Award (2021) for contextual teaching Heart Foundation Runner-up for "Smart Artificial Hearts" pitch (2021) ARC PGC Supervisor Award (2017) for mentoring Grants & Supervision : Holds over $6 million in competitive funding including MRFF and ARC grants. Currently supervises 4 PhD students while maintaining industry partnerships with VitalCare and BiVACOR. Labs & Facilities : Works across UNSW Engineering labs and Graduate School of Biomedical Engineering platforms, including mock circulation loops and high-performance computing clusters for CFD simulations.

Kimia Zamiri AzarView profile

Assistant Professor

• Hardware Security
• Verification Formal Methods
• Advanced VLSI Testing
• +3 more

Kimia Zamiri Azar serves as an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Central Florida, focusing on hardware security and verification methodologies. Her research bridges theoretical formal methods with practical security implementations in semiconductor design and testing. Her educational background includes: Ph.D. in Electrical and Computer Engineering, George Mason University (2021) Postdoctoral Research, University of Florida Dr. Azar's research spans hardware security with emphasis on system-level verification, VLSI design-for-trust, and advanced IC testing. She pioneers techniques in logic locking, secure heterogeneous integration, and IC supply chain security, developing frameworks for authenticated encryption in Systems-in-Package and runtime security monitoring. Her work integrates formal verification with innovative testing methodologies to address hardware trust challenges across the semiconductor lifecycle. Analysis of her recent publications reveals two dominant trends: (1) Application of large language models (LLMs) to hardware design tasks including high-level synthesis code generation and RTL optimization, and (2) Advancement of secure heterogeneous integration techniques for System-in-Package architectures with focus on counterfeit prevention and split-test security protocols. These directions address critical gaps in hardware trustworthiness amid increasingly complex semiconductor supply chains. Her scientific contributions have earned significant recognition: Best Paper Award at ICCAD 2019 Best Paper Award at ISVLSI 2020 Best Paper Award at ICCAD 2020 Best Paper Award at IEEE DCAS 2020 Best Paper Award at HOST 2022 Best Paper Award at DATE 2023 Dr. Azar secures substantial research funding from premier agencies including NSF, SRC, DARPA, AFRL, DoD (NG), and Microsemi. Her grants support projects spanning hardware security validation frameworks, secure heterogeneous integration, and AI-augmented verification methodologies. She actively mentors students in her research group, guiding publications in top venues like IEEE D&T, IEEE TC, and DAC while fostering industry-academic collaborations. Her work directly impacts semiconductor security standards through patented innovations and open-source verification tools. As an active IEEE and ACM member, she contributes to community advancement through conference organization (HOST, DATE), journal editorial roles, and workshop leadership on hardware security standards. Her research group collaborates with semiconductor industry leaders to translate theoretical security frameworks into practical design-for-trust methodologies for next-generation integrated circuits.

Pinon Hermida VictorView profile

Researcher

• Laser-Induced Breakdown Spectroscopy (LIBS)
• Optical Engineering
• Materials Analysis
• +3 more

Dr. Pinon Hermida Victor is a Researcher at the Institute of Electronic Structure and Laser (IESL) under the Foundation for Research and Technology – Hellas (FORTH). He holds a PhD in Physics from the University of A Coruña (2011) and has conducted extensive research on Laser-Induced Breakdown Spectroscopy (LIBS), focusing on femtosecond lasers, double-pulse configurations, and applications in material analysis, archaeology, and environmental science. His career includes roles at Applied Photonics Ltd (UK) as Senior Applications Scientist (2014-2020) and postdoctoral fellowships at FORTH-IESL through the Marie Curie ATLAS program (2006-2008). Research interests span LIBS methodology development, optical fiber systems for high-power lasers, and software for spectral analysis. Notable contributions include portable LIBS instrument design and radiation-resistant optical components for nuclear facilities. Awards include the 2008 LIBS Contest and the 2011 Premio Extraordinario de Doctorado. Recent work focuses on applying LIBS to archaeological mollusc shell analysis for climate and environmental studies. He collaborates internationally on LIBS quantification challenges and instrument durability in harsh environments. Education: PhD in Physics (2011), University of A Coruña; Diploma in Physics (2001), University of Santiago de Compostela Key Roles: Senior Applications Scientist (Applied Photonics), Marie Curie Fellow (FORTH-IESL), Researcher (Laboratory of Industrial Applications of Lasers) Lab Affiliations: IESL-FORTH and University of A Coruña laser labs

Jian LiuView profile

Assistant Professor

• Robust and Trustworthy AI
• Machine Learning
• Human-Computer Interaction
• +6 more

Jian Liu is an Assistant Professor in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville. He leads the Mobile Sensing and Intelligence Security (MoSIS) Lab, focusing on robust AI, mobile security, computational sensing, and smart healthcare. His research has been published in top-tier venues like S&P/Oakland, CVPR, and IEEE journals, with over 6,400 citations. He holds seven U.S. patents, including two licensed to industry. Education: PhD in Electrical and Computer Engineering from Rutgers University (2019), ME and BE in Communication Engineering from Wuhan University of Technology (China). Research interests include trustworthy AI, federated learning, privacy-preserving technologies, and adversarial machine learning. His recent work includes HarmonyCloak (music copyright protection against generative AI), 3D facial authentication systems, and robust backdoor attack defenses. Notable awards include the University of Tennessee’s Professional Promise in Research Award (2025), Stanford’s World’s Top 2% Cited Scientists, and multiple best paper awards. He teaches Mobile and Embedded System Security (ECE 469/569) and has supervised projects funded by UT Grand Challenges grants. Labs/Teams: MoSIS Lab focuses on AI-driven security solutions, wearable sensing, and healthcare applications. Collaborations involve interdisciplinary projects with UT’s engineering and medical schools.

• Human-Computer Interaction
• Extended Reality (XR)
• Mobile Health Sensing
• +6 more

Karan Ahuja is the Lisa Wissner-Slivka & Benjamin Slivka Assistant Professor of Computer Science at Northwestern University, directing the Sensing, Perception, Interactive Computing & Experiences (SPICE) Lab. He earned his Ph.D. in Human-Computer Interaction from Carnegie Mellon University (2023) and a B.Tech. in Computer Science (2017). His research focuses on creating technologies that sense and understand human behavior, with applications in mobile health, extended reality, and natural user interfaces. Key projects include LemurDx for ADHD diagnosis, EITPose for wearable hand pose tracking, and MobilePoser for full-body pose estimation via consumer IMUs. Awards include Forbes 30 Under 30 (2024), MIT 35 Innovators Under 35 Asia Pacific, and ACM SIGCHI's Outstanding Dissertation Award. He has worked at Google, Apple, Microsoft Research, Meta Reality Labs, and IBM Research. His lab emphasizes real-world deployments, with technologies licensed and integrated into products used by millions. Prospective students are invited to join his lab at Northwestern via a dedicated application form. Research spans embedded systems, computer vision, and on-device ML, with a focus on impactful applications in healthcare and XR.

• Biosensors
• Microfluidics
• Microfabrication
• +8 more

Renny Edwin Fernandez is an Associate Professor in the Department of Engineering at Norfolk State University's College of Science, Engineering and Technology. His multidisciplinary research focuses on microsensing platforms for healthcare, pollution control, and agriculture applications. Education: PhD in Electrical Engineering (2010) from Indian Institute of Technology Madras His research integrates microfabrication, microfluidics, and machine learning to develop wearable biosensors, disposable electrodes, and IoT-enabled soil monitoring systems. Key trends in his recent publications include: Real-time health monitoring via flexible nanosensors Machine learning integration in agricultural IoT Plasma-aided printing of conductive nanomaterials Smart PPE systems with NFC technology Scientific Awards: Research Initiation Award (2020) for cognitive monitoring systems in extreme environments Dr. Fernandez mentors graduate and undergraduate researchers at NSU, with prior teaching experience at University of Indianapolis and Florida International University. He holds a patent for biosensor technology and has developed innovative solutions for: Salivary cortisol detection Soil nutrient analysis Cell viability assessment Smart irrigation systems

Heikki HandroosView profile

Professor

• Mechatronics
• Robotics
• Machine Automation
• +5 more

Heikki Handroos is a Full Professor of Mechanical Engineering at LUT University, leading the Laboratory of Intelligent Machines since 1993. He holds a DSc (Technology) from Tampere University of Technology and has served as Vice-Dean of the Faculty of Technology (2007-2009) and currently chairs the Collegiate Body of LUT University. His research focuses on mechatronics, robotics, control systems, and fluid power, with over 300 publications and 2,400+ citations. He has supervised 34 doctoral theses and 150+ MSc projects, managed R&D projects exceeding €20M, and co-founded four tech startups. His work spans industrial collaborations, digital twin applications, and innovative robotics for nuclear energy (e.g., DEMO reactor maintenance systems). He has held visiting professorships in the U.S., Japan, and Russia, and actively contributes to academic editorial roles and professional societies like ASME and IEEE.

• Multinational Management
• Industrial Relations
• Political Economy
• +3 more

Greg Distelhorst is an Associate Professor at the University of Toronto, holding appointments in the Rotman School of Management and the Centre for Industrial Relations and Human Resources. Previously, he taught at MIT Sloan School of Management and Saïd Business School, Oxford. He holds a BA in Cognitive Science from Yale University and a PhD in Political Science from MIT. His research focuses on global trade and worker rights, as well as politics and policy in contemporary China. Key areas include multinational management, industrial relations, and the intersection of political economy with Chinese governance. His work explores how corporate practices in global supply chains affect labour standards, and how authoritarian regimes manage public discourse and accountability. Distelhorst has published in leading journals including Management Science , Organization Science , and American Journal of Political Science . His research has been recognized with awards such as the 2018 Responsible Research in Management Award and the American Political Science Association Dorothy Day Award. His research on Chinese governance examines mechanisms of public accountability under authoritarian rule, including how social media activism and grassroots participation influence policy outcomes. He has conducted fieldwork in China, including fellowships with the U.S. Fulbright Program and the Yale-China Association. Distelhorst’s work bridges management studies, political science, and labour economics, with a focus on systemic challenges in global supply chains and the socio-political dynamics of emerging markets.

Andres KwasinskiView profile

Professor

• Cognitive Radios and Networks
• Machine Learning for Wireless Communications
• 5G/6G/NextG Networks
• +5 more

Andres Kwasinski is a Professor in the Department of Computer Engineering at Rochester Institute of Technology (RIT), part of the Kate Gleason College of Engineering. He serves as Graduate Program Director for the Ph.D. in Electrical and Computer Engineering and M.Sc. in Computer Engineering. He co-directs the Networking and Information Processing (NetIP) Lab and holds editorial roles with IEEE publications, including Chief Editor of the IEEE Signal Processing Repository and Associate Editor of IEEE Signal Processing Magazine. Education: Ph.D. and M.Sc. in Electrical and Computer Engineering from the University of Maryland, College Park (2004 and 2000), and B.Sc. in Electrical Engineering from the Buenos Aires Institute of Technology (1992). Prior to RIT, he worked at Texas Instruments, Lucent Technologies, and the University of Maryland. Research Interests: Cognitive radios, machine learning for dynamic spectrum access, 5G/6G networks, VR communications, cross-layer resource allocation, smart infrastructures, and signal processing. His work emphasizes sustainable and resilient communication systems, integrating renewable energy and AI-driven solutions. Notable Contributions: Authored/co-authored books on cooperative communications and 3D visual communications. Over 70 peer-reviewed publications, including works on energy-efficient wireless networks, microgrid integration for base stations, and deep reinforcement learning in cognitive radio. His research is funded by the NSF, Harris Corporation, and the Air Force Research Laboratory. Grants & Awards: Supported by grants from NSF and industry partners. Recognized for contributions to IEEE standards and technical leadership in signal processing and communications. Labs & Teams: Co-director of the NetIP Lab, focusing on networking, signal processing, and smart infrastructure. Collaborates on interdisciplinary projects in robotics, warehouse automation, and 5G/B5G systems.