Mehmet İzzeddin GULER is a full-time Researcher at Karabük University's Faculty of Engineering and Natural Sciences, Department of Mechatronics Engineering. He earned his PhD in Electrical and Electronics Engineering in 2024, following an MSc (2022-2024) and dual BSc degrees in Electrical and Electronics Engineering (2017-2022) and Management Information Systems (2017-2023). Education: PhD in Electrical and Electronics Engineering (2024), Karabük University MSc in Electrical and Electronics Engineering (2022-2024), Karabük University BSc in Electrical and Electronics Engineering (2017-2022), Karabük University BSc in Management Information Systems (2017-2023), Anadolu University His research focuses on semiconductor technologies, nanotechnology, and microelectronics, with applications in intelligent transportation systems. He contributed to a 2024 study comparing antenna design methodologies using CST-HFSS-MATLAB software for 5.8 GHz microstrip antennas, addressing optimization and performance metrics in transportation contexts. This work aligns with his broader interest in integrating nanotechnology with RF engineering solutions. He has 4 citations and participated in 2 projects, including TEKNOFEST competition support (2024-2025) and comparative antenna design research (2023-2024).
Francesco Santoni is a Postdoctoral Researcher at the Department of Engineering, University of Perugia. He holds a Master's degree in Physics (2010) from University of Perugia and a Ph.D. in Microelectronics and Telecommunications Engineering (2015) from University of Roma 'Tor Vergata'. From 2015-2017, he conducted postdoctoral research on charge transport modeling in organic semiconductors at his Ph.D. institution. Research Highlights: Magnetic positioning systems for biomedical applications Electrochemical impedance spectroscopy in battery technology Machine learning for state-of-charge estimation Mathematical modeling of organic electronic devices Uncertainty quantification in measurement systems Wireless sensing for wearable biometric systems Project Involvement: Dr. Santoni contributes to the 6 DOF Finger Tracking project, an inter-academic collaboration funded by Italy's PRIN 2015 grant. This initiative involves research groups from Perugia, Brescia, and Cassino, focusing on developing short-range wireless positioning technology for biomedical applications like data gloves. His work spans theoretical modeling, practical implementation, and interdisciplinary applications of electronic measurement systems.
Mario Ziegler is a Researcher at the Leibniz Institute for Photonic Technology (Leibniz-IPHT) , where he contributes to the Competence Center for Micro- and Nanotechnologies and the Work group Microsystem and Nanotechnology . His work bridges advanced fabrication techniques with applications in quantum devices, environmental science, and space technology. His research interests include: Nanowire-based plasmonic lasers for nanophotonic circuitry Photocatalytic materials for UV-driven dye degradation Superconducting circuits and Josephson junctions for quantum computing Metasurface engineering for ultrafast laser pulse shaping Robust coatings for space applications Recent publications highlight his focus on hybrid plasmonic-photonic systems, scalable fabrication technologies, and material optimization. His team uses techniques like metastable atomic layer deposition, nanomanipulation-assisted optical characterization, and microlensing gas phase electrodeposition to address challenges in device performance, environmental remediation, and space-grade materials. Collaborators include Uwe Hübner, Ronny Stolz, Matthias Schmelz, and other researchers at Leibniz-IPHT and partner institutions. His work on self-assembled nanowire lasers and cross-type Josephson junctions reflects his role in advancing quantum and optoelectronic technologies. Contact: mario.ziegler@leibniz-ipht.de
Dr. Ines Stassen Böhlen is a researcher at the Zurich University of Applied Sciences (ZHAW) School of Engineering , focusing on Scientific Computing & Algorithmics . Her work bridges computational methods with industrial laser manufacturing technologies. Her research interests include: Laser micromachining of optical components CAD/CAM software integration for manufacturing tools Algorithm development for precision engineering Photonics applications in industrial settings Contact: ines.stassenboehlen@zhaw.ch ZHAW School of Engineering, Technikumstrasse 71, 8400 Winterthur, Switzerland
W. Rod Harrell is an Associate Professor in the Department of Electrical and Computer Engineering at Clemson University's College of Engineering, Computing and Applied Sciences. With a Ph.D. in Electrical Engineering from the University of Maryland, College Park (1994), and prior degrees from the University of Kentucky, his academic journey includes research at the NSA's Microelectronics Research Laboratory and professional experience at the National Security Agency. Education Ph.D., Electrical Engineering, University of Maryland, College Park M.S., Electrical Engineering, University of Kentucky B.S., Electrical Engineering, University of Kentucky Research Interests span electronic materials and devices, with specific focus on: IV-IV compound semiconductors (particularly silicon-carbide) Organic polymer-based semiconductor devices Carbon nanotube composites Thermal, mechanical, and electronic characterization of materials Dielectric modeling (Poole-Frenkel mechanisms) Bioelectronics interfaces for medical applications His work explores low-cost, flexible electronic materials with applications in sensors, solar cells, and biochips through Clemson's Center for Bioelectronics, Biosensors and Biochips (C3B). Professional Recognition : Marquis Who's Who in Science and Engineering (1996-1997)
Christoph Frisch is a researcher at the Chair of Information Security at the Technical University of Munich , focusing on Physical Unclonable Functions (PUFs) and their applications in hardware security. His work explores the intersection of coding theory, information theory, and secure implementation of cryptographic primitives. Current research emphasis on entropy-area trade-offs in quantization schemes for PUFs Contributions to reliability enhancement of security primitives and min-entropy estimation Active in hardware reverse engineering and side-channel attack countermeasures His publications reveal a strong focus on IoT security and post-quantum cryptography , with recent work addressing memristor-based PUFs and polar decoder implementations. No scientific awards are mentioned in the provided text. Teaching activities include delivering Lecture Series on System Security and Applied Cryptology courses since 2017, indicating a dual role in research and education.
Emily A. Carter is the Gerhard R. Andlinger Professor in Energy and the Environment at Princeton University, with joint appointments as Professor of Mechanical and Aerospace Engineering, Applied and Computational Mathematics, and affiliation with the Andlinger Center for Energy and the Environment. She serves as Senior Strategic Advisor and Associate Laboratory Director for Applied Materials and Sustainability Sciences at the Princeton Plasma Physics Laboratory (PPPL). Education: Ph.D. in Physical Chemistry (Caltech, 1987), B.S. in Chemistry (UC Berkeley, 1982) Her research focuses on quantum mechanical simulations for sustainable energy materials, with applications in electromanufacturing, solar radiation management, and plasma science. At PPPL, she expanded the lab's portfolio to include microelectronics and quantum information science. Her work is funded by grants from the U.S. Department of Defense and Department of Energy. Scientific honors include membership in six prestigious academies: U.S. National Academy of Sciences U.S. National Academy of Engineering American Academy of Arts and Sciences U.S. National Academy of Inventors European Academy of Sciences The Royal Society At Princeton, she was founding director of the Andlinger Center (2004-2019), oversaw construction of its facilities (2010-2016), and served as Dean of the School of Engineering and Applied Science (2016-2019). She maintains active research and advisory roles while leading strategic initiatives.
Dr. Indrė Žliobaitė is a researcher in the Department of Computer Science at Aalto University. Her work spans interdisciplinary domains, combining computational methods with ecological and biomedical applications. Adaptation Concept drift Evolving data streams Change detection Predictive analytics Discrimination aware data mining Her research includes modeling respiratory motion for medical applications, analyzing fossil records for paleoecological insights, and developing energy-efficient computing architectures. Publications highlight applications of Bayesian models, mobility trace analysis, and approximate computing techniques.
Piero Malcovati is a Full Professor in the Department of Electrical, Computer, and Biomedical Engineering at the University of Pavia, where he leads the Integrated Microsystems and Sensors Laboratory. His academic career spans over 25 years of research in microelectronics and sensor systems. His research focuses on Microsensors , Integrated Microsystems , MEMS , and Sensor Interface Circuits , with particular expertise in gas sensing systems, microsensor interfaces, and low-power analog design. His work bridges theoretical circuit design with practical applications in biomedical instrumentation, environmental monitoring, and space technology. Malcovati's publication portfolio demonstrates consistent innovation in high-dynamic-range sensor interfaces, with recent work emphasizing contactless temperature measurement systems, X-ray detector electronics for space missions (HERMES, eXTP), and ultra-low-power voice activity detection. His research shows strong interdisciplinary collaboration across nuclear engineering, aerospace systems, and biomedical applications. He teaches graduate courses including Ph.D. School in Microelectronics and Topics on Microelectronics , along with undergraduate courses such as Electrical Measurements , Industrial Electrical Measurements , and Microsensors, Integrated Microsystems, and MEMS . Malcovati's laboratory has contributed significantly to space instrumentation through the HERMES nano-satellite constellation and the eXTP mission, developing specialized front-end electronics for X-ray and gamma-ray detection systems. His team's PixDD technology represents advancement in room-temperature spectroscopic detectors for astrophysics.
Mario Roberto Casu is an Associate Professor in the Department of Electronics and Telecommunications (DET) at the Polytechnic University of Turin, where he also serves as a contact person for the Degree Course in Electronic Engineering. He is a member of the Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory and actively contributes to the VLSILAB research group. Dr. Casu received his laurea degree summa cum laude in electronics engineering and his Ph.D. in electronics and communications engineering from the Polytechnic University of Turin in 1998 and 2001, respectively. He has held visiting researcher positions at Columbia University (2010-2011), National University of Singapore (2017), and CEA Grenoble (2001), as well as a visiting professorship at Chongqing Technology and Business University (2016). His research spans several interconnected domains focused on hardware implementation of advanced computing systems. Dr. Casu's work primarily addresses Embedded Machine Learning through heterogeneous embedded systems (ASICs, FPGAs, CPUs, GPUs), System-on-Chip design including latency-insensitive approaches and Network-on-Chip architectures, Microwave Imaging for both biomedical (breast cancer and stroke detection) and industrial applications (food contamination detection), and Ultra-Wide Band technologies for biomedical applications. His research bridges theoretical design methodologies with practical industrial applications across biomedical, automotive, and food sectors. Dr. Casu's recent scholarly output demonstrates a clear trajectory toward optimizing hardware implementations for machine learning workloads, particularly through FPGA-based solutions and precision-scalable multipliers. His work increasingly integrates microwave sensing technologies with machine learning for specialized applications like food contaminant detection, while maintaining strong foundations in traditional VLSI design and system-level optimization techniques. As an academic leader, Dr. Casu serves on the editorial board of IEEE TRANSACTIONS ON AGRIFOOD ELECTRONICS and regularly participates in program committees for major international conferences including DATE, ICCAD, DAC, and VLSI-SoC. He has been involved in 9 national academic research projects (2 as principal investigator), 2 European academic research projects, and 7 national and international industrial projects (2 as principal investigator). Dr. Casu actively mentors the next generation of engineers, currently supervising multiple PhD students including Lorenzo Lagostina, Edward Manca, Teodoro Urso, Fabrizio Ottati, and Luca Urbinati. His teaching portfolio includes courses such as Integrated Systems Technology, Microelectronics Digital Design, and Embedded Electronic Systems for AI/ML across both bachelor's and master's programs in Electronic and Computer Engineering. His laboratory work centers around the VLSILAB Group at DET, where his team develops innovative solutions in hardware acceleration for machine learning, microwave imaging systems, and system-level design methodologies. Current projects include the EU-funded GreenChips-EDU initiative for sustainable microelectronics education and industry collaborations with companies like Infineon Technologies on coarse-grained reconfigurable array architectures for machine learning applications.
Danilo Demarchi is Full Professor at the Polytechnic University of Turin's Department of Electronics and Telecommunications (DET). He directs the eLiONS Lab and coordinates PoliTO's Italian Institute of Technology Microelectronics Group. As pioneer in wearable plant sensors and AgriFood electronics, he bridges microelectronics with agriculture and biomedical applications. IEEE Senior Member Founder & Editor-in-Chief: IEEE Transactions on AgriFood Electronics General Chair: IEEE BioCAS (2017), IEEE CAFE (2023) Research spans smart systems for: Precision agriculture (IoT, plant health monitoring) Biomedical devices (implantables, wearables) Low-cost electronics Molecular electronics His 350+ publications focus on bio-inspired architectures integrating microsystems with physiological applications, while leading EU and PNRR projects like FERNS and ATHOS. Scientific leadership includes: Coordinating 5 EU projects Founding 2 IEEE conferences Editorial roles in 4 IEEE journals Current PhD students explore topics from plant bioimpedance to pilot workload monitoring, supported by his 5 granted patents and extensive industry collaborations.
Serdar MENEKAY is a Lecturer at the Faculty of Engineering , specializing in the Department of Electrical and Electronics Engineering . He currently serves as the Vice Dean of the faculty, contributing to both academic instruction and administrative leadership. His research interests span core areas of electrical and electronics engineering, focusing on interdisciplinary applications within the field: Power Systems Microelectronics Control Systems Embedded Systems Renewable Energy Signal Processing
Dr. Yurii Vlasov is a Professor at the University of Illinois at Urbana-Champaign , holding tenured positions in Electrical and Computer Engineering, Physics, Bioengineering, and Materials Science and Engineering. He serves as the John Bardeen Endowed Chair and is Inaugural Professor at the Carle Illinois College of Medicine. At UIUC, he founded the Integrated Neurotechnology Lab , focusing on silicon-based neural probes, in vivo neurobiology, and machine learning for neural datasets. Prior to academia, he led IBM's Silicon Nanophotonics project for 15 years, driving its commercialization for datacenters. Education: MS in Biophysics (1988, University of St.-Petersburg), PhD in Physics (1994, Ioffe Institute) His research spans three threads: Neuro-engineering (nanofluidic/neurophonic probes), Neuro-biology (in vivo brain activity mapping), and Neuro-informatics (machine learning for neural networks). Recent work in ACS Nano and Lab on a Chip demonstrates attomole-level neurochemical detection using silicon nanofluidics. His innovations in droplet microfluidics and optogenetics have been featured in over 100 invited talks and 300+ patents. Scientific awards include National Academy of Engineering membership , Scientific American's Scientist of the Year , and multiple IBM Technical Achievement Awards . He is a Fellow of APS, IEEE, and OSA. Dr. Vlasov teaches core courses in semiconductor devices, silicon photonics, and neural interface engineering. His lab's silicon microfluidic platforms have enabled breakthroughs in neurochemical sampling and implantable probe fabrication, supported by NIH BRAIN Initiative grants (UF1NS107677, RF1NS126061).
Gian Luca Barbruni is a Postdoctoral Researcher at the Bio/CMOS Interfaces Laboratory at École polytechnique fédérale de Lausanne (EPFL), Switzerland, where he focuses on designing novel circuital architectures for in-memory sensing and computing, and on drinkable µm-sized bioelectronics for enhanced brain imaging and precise diagnostics. He also served as a Doctoral Assistant at the Integrated Systems Laboratory (LSI1) at EPFL. Dr. Barbruni earned his Ph.D. in Microsystems and Microelectronics from EPFL in 2023, focusing on the design and development of innovative cortical visual prosthesis to revert blindness. Prior to that, he received his M.Sc. in Biomedical Instrumentation (2019) and B.Sc. in Biomedical Engineering (2017) from Politecnico di Torino, Italy. His research primarily centers on the intersection of low-power mixed-signal IC design, wireless power transfer, and microfabrication techniques for biomedical applications. His work spans brain-computer interfaces, vision restoration technologies, cancer diagnostics, and electrochemical sensing systems. Dr. Barbruni's approach integrates circuit design with electrode-tissue interface engineering to create miniaturized, wireless neural interfaces that overcome limitations of traditional neurostimulation systems. His research on frequency-switching inductive links has demonstrated significant improvements in efficiency and power delivery for large-scale neural interfaces. His publication record shows a clear progression toward increasingly sophisticated and miniaturized neural interface systems, with recent work focusing on in-memory sensing for cancer diagnostics and advanced microfabrication techniques for electrode integration. The consistent theme across his publications is the development of wireless, miniaturized systems that can operate within safety constraints while delivering sufficient power for neural stimulation and sensing applications. Dr. Barbruni has received several notable recognitions for his work: Best Student Paper Award in Electronics at IEEE MOCAST, 2022 in Bremen, Germany As a Principal Investigator, he has secured multiple competitive grants including MINT-CMOS (Enable 2022) and WIMOS-RES (Enable 2022). He serves as a reviewer for prestigious journals including IEEE Transactions of Biomedical Circuits and Systems and IEEE Sensors Journal, and as a TPC member for major conferences such as IEEE BioCAS, IEEE Sensors, IEEE MeMeA, and IEEE ICECS. Dr. Barbruni is actively involved with the Bio/CMOS Interfaces Laboratory in Neuchâtel, part of EPFL's School of Engineering, where he leads research on novel circuital architectures for in-memory sensing and computing. His work on 'Neural Dot' represents a significant advancement in fully integrated monolithic chips for neural interfaces, featuring wafer-level CMOS-compatible post-processing techniques for electrode integration that address traditional challenges in miniaturized neural implant design.
Dr. Andrei Drăgulinescu is an Associate Professor at the National University of Science and Technology POLITEHNICA Bucharest, Faculty of Electronics, Telecommunications and Information Technology, where he also serves as Head of University Works since 2009. His academic background includes a Doctor of Engineering degree (2004-2008) and postdoctoral studies (2010-2013) from the same institution. He has conducted international research internships in Finland, France, and Italy, focusing on semiconductor lasers, CMOS photodiodes, and optical technologies. Research Interests: His primary expertise spans optoelectronics and nanotechnologies, with specialized work in CMOS sensors, semiconductor lasers, and electrochemistry for energy applications. Key areas include: Design and simulation of quantum well lasers (InGaN/InGaAsN) CMOS photodiode characterization and reliability Optical correlators for image recognition Fiber laser applications in industrial metrology Electrochemistry in energy conversion devices Research Projects: He leads and collaborates on significant interdisciplinary projects: ENI Project (2018-2020): Project manager for intelligent soil mapping modules using eco-nanotechnologies. AMI-DETECT Project (2014-2017): Research member developing portable microbiosensor arrays for cardiac diagnostics. Laboratory Affiliations: Affiliated with the Optoelectronics Research Center at POLITEHNICA Bucharest, contributing to advancements in laser diagnostics and semiconductor testing.
