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MEHMET FATİH BUĞANView profile

Associate Professor

• Finance
• Islamic Finance
• Behavioral Finance
• +5 more

Associate Professor MEHMET FATİH BUĞAN is affiliated with Gaziantep University , where he serves in the Faculty of Economics and Administrative Sciences , Department of Finance . He holds a PhD (2018) and Master's (2015) in Business Administration from Gaziantep University, alongside a Bachelor's degree (2012) from Afyon Kocatepe University. Research Interests: Islamic Finance, Behavioral Finance, Financial Markets, Cryptocurrency, Geopolitical Risk, ESG, Energy Economics His scholarly work focuses on the interconnectedness of financial markets, particularly in the context of cryptocurrencies , geopolitical risks , and ESG factors , with recent studies published in journals like Resources Policy and Annals of Operations Research . He has supervised numerous theses on topics ranging from financial literacy to cryptocurrency dynamics and contributes to academic conferences on market volatility and risk spillovers. His editorial roles include work on publications such as Finansal Piyasaların Evrimi series and Journal of Financial Economics and Banking .

• Analog IC Design
• Power IC Design
• GaN Power Devices
• +5 more

Dr. GAO Yuan serves as an Assistant Professor at the School of Microelectronics, Southern University of Science and Technology (SUSTech) since November 2019. His academic journey includes a Ph.D. in Electronic and Computer Engineering from the Hong Kong University of Science and Technology (2017), preceded by M.Eng. and B.Eng. degrees from Xi'an Jiaotong University (2012 and 2009 respectively). Prior to his current position, he completed a Post-Doctoral Fellowship at HKUST (2017-2019). Education Background: Ph.D. in Electronic and Computer Engineering, HKUST (2012-2017) M.Eng. in Electronic Science and Technology, Xi'an Jiaotong University (2009-2012) B.Eng. in Microelectronics, Xi'an Jiaotong University (2005-2009) Dr. Gao's research focuses on analog and power integrated circuits design, with particular expertise in high-voltage applications. His work spans GaN power device drivers and controllers, efficient LED/LD driver ICs, and high-performance DC-DC/AC-DC power converters. His publication record demonstrates consistent innovation in power management circuits, with recent work exploring applications in photoacoustic imaging systems and advanced battery conversion technologies. His research output shows a clear trajectory toward increasingly sophisticated power management solutions, with recent publications (2023-2025) emphasizing bidirectional power transfer, high-efficiency battery-to-LED conversion, and specialized drivers for medical imaging applications. The consistent presence in top-tier venues (IEEE JSSC, ISSCC, VLSI Symp., CICC) reflects the high impact of his work in the integrated circuits community. Scientific Recognition: Best Paper Award at IEEE ISCAS 2023 (top 3 among 1,400 submissions) Best Student Paper Finalist at IEEE CICC 2023 Shenzhen Overseas High-Caliber Personnel C ("Peacock Plan") IEEE Solid-State Circuits Society STGA for ISSCC 2017 1st Place, Synopsys International Microelectronics Olympiad 2014 Dr. Gao actively contributes to the academic community through service on review boards for major international journals and conferences. His teaching portfolio includes undergraduate courses in analog circuit fundamentals and power electronics, as well as graduate-level instruction in advanced power converter design. His research group appears to focus on practical implementations of power management solutions with applications spanning consumer electronics, medical devices, and energy-efficient lighting systems.

• Underwater Robotics
• Biomimetic Robotics
• Multi-robot Systems
• +4 more

Chunying Li serves as an Assistant Professor in the Department of Electronic and Electrical Engineering at the College of Engineering, Southern University of Science and Technology (SUSTech). Recognized as a 2024 Shenzhen Pengcheng Peacock Program Distinguished Talent and Ocean Power Young Scientist nominee, her research pioneers spherical underwater robotics and multi-agent systems for complex marine environments. Her educational foundation includes: Ph.D. in Intelligent Mechanical Systems Engineering from Kagawa University, Japan (2021-2023) M.S. in Control Engineering from Tianjin University of Technology, China (2017-2020) Dr. Li's research integrates biomimetic principles with advanced engineering to solve underwater navigation challenges. Her work on multi-sensor fusion enables robust environmental perception, while adaptive control algorithms allow spherical robots to operate in turbulent conditions. Key applications include ocean monitoring, resource exploration, and collaborative multi-robot missions where traditional systems fail. Recent publications (2020-2024) reveal a strong focus on performance optimization and biomimetic sensing , with 7 of 11 representative papers appearing in Q1 journals like Information Fusion (IF=17.564). A notable trend is the development of artificial lateral line systems inspired by fish, significantly improving obstacle recognition in murky waters. Her accolades include: 2024 Young Scientists Nomination for Ocean Power 2024 Shenzhen Pengcheng Peacock Program Distinguished Talent 2023 Chinese Society of Automation Natural Science Award (Second Prize) 2022 CSC National High-Level University Scholarship Dr. Li leads the Shenzhen Outstanding Science and Technology Innovation Talent Program while contributing to international projects: Shenzhen Grants: Pengcheng Peacock Program (Principal Investigator) International Collaboration: Japan SPS KAKENHI Program (Key Researcher) Regional Projects: Tianjin Science and Technology Innovation Cooperation Program Her laboratory develops spherical underwater robot platforms featuring hybrid thrusters and multi-sensor arrays, emphasizing father-son robot coordination and jellyfish-inspired swarm behaviors. Through IEEE ICMA conference leadership roles (Finance Chair 2025, Publication Co-Chair 2024), she actively shapes robotics research standards in Asia-Pacific.

• High Performance Computing
• Distributed Systems
• Cloud Computing
• +2 more

Zhuozhao Li is an Assistant Professor in the Department of Computer Science and Engineering at Southern University of Science and Technology (SUSTech) in Shenzhen, China. He joined SUSTech in August 2021 after serving as a Postdoctoral Scholar at the University of Chicago from July 2018 to July 2021. His research focuses on high-performance computing, distributed systems, and cloud/edge computing, with applications across scientific domains. Ph.D. in Computer Science, University of Virginia, May 2018 M.S. in Computer Science, University of Southern California, May 2012 B.E. in Computer Science, Zhejiang University, July 2010 Dr. Li's research spans several critical areas in modern computing infrastructure. His primary focus is on High Performance Computing , where he develops novel approaches to optimize computational efficiency in scientific applications. In Distributed Systems , his work addresses challenges in large-scale system coordination and resource management. His contributions to Cloud/Edge Computing focus on improving virtualization techniques and resource allocation strategies. Additionally, he explores applications in the Internet of Things , examining how distributed computing paradigms can enhance IoT infrastructure. Dr. Li's publication record demonstrates a consistent focus on advancing distributed computing systems and their scientific applications. His recent work shows a clear progression from foundational research on data-parallel frameworks and job scheduling toward more applied systems for scientific computing. His contributions to projects like funcX and DLHub represent significant advancements in making distributed computing more accessible for scientific workflows. A notable trend is the increasing interdisciplinary nature of his work, with applications spanning from computational biology (SARS-CoV-2 research) to privacy-preserving spatial crowdsourcing. ACM HPDC Best Paper Nominees, 2019 IEEEMASS Service Award, 2019 Outstanding Graduate Research Assistant, University of Virginia, 2018 Dr. Li actively mentors students and researchers, currently recruiting PhD students, Master's students, postdocs, and research assistants for his research group at SUSTech. His research has been supported through various collaborative projects, including significant contributions to the U.S. Department of Energy National Virtual Biotechnology Laboratory Project about COVID-19, which was awarded the Secretary of Energy Achievement Award. His work on funcX, DLHub, and Parsl represents major software infrastructure development efforts with broad scientific impact. Dr. Li is affiliated with multiple research initiatives, including the Globus Lab (during his postdoc at University of Chicago) and various collaborative projects involving high-performance computing resources. At SUSTech, he leads a research group focused on distributed systems and high-performance computing. His work often involves collaboration with researchers across institutions, particularly in projects related to scientific computing infrastructure like funcX and DLHub.

Xin ZhangView profile

Adjunct Professor

• AI Hardware
• Algorithm Design
• Analog Circuits
• +8 more

Xin Zhang is a Research Staff Member and Manager at IBM T. J. Watson Research Center and an Adjunct Professor in the Department of Electrical Engineering at Columbia University since 2021. His work bridges AI hardware, power electronics, and algorithm design, focusing on energy-efficient systems for machine learning and computing. Affiliation: IBM T. J. Watson Research Center (Research Staff Member/Manager) Affiliation: Columbia University (Adjunct Professor, School of Engineering) His research interests include analog circuits, power management circuits, DC-DC converters, machine learning hardware accelerators, computer system architecture, and AI/ML-assisted EDA tools. He has pioneered AI-driven approaches for circuit topology synthesis and thermal management in hardware. Recent publications highlight innovations in chip placement optimization, secure in-memory computing for AI, and high-efficiency converters for AI SoCs. His work integrates machine learning with power electronics to address challenges in energy efficiency, security, and real-time performance. He has received prestigious recognition as an IBM Master Inventor (2023) and is an IEEE Senior Member. His editorial roles include Guest Editor for IEEE Journal on Emerging and Selected Topics in Circuits and Systems and Associate Editor for IEEE Solid State Circuits Letters. Active in academic and industry leadership, he serves on Technical Program Committees for conferences like APEC, ISSCC, and DAC, and is on the Organizing Committee for the IBM IEEE CAS/EDS AI Compute Symposium since 2019.

Yufei DingView profile

Associate Professor

• Quantum Computing
• Machine Learning
• Compiler Optimization
• +3 more

Yufei Ding is an Associate Professor in the Computer Science & Engineering Department at the University of California, San Diego (UCSD), and founder of the PICASSO Lab. She earned a Ph.D. in Computer Science from North Carolina State University and a B.S. in Physics from the University of Science and Technology of China. Research Interests: Quantum Computing Machine Learning Domain-Specific Languages Compiler Optimization Hardware Acceleration High-Performance Computing Her recent publications focus on quantum compilation, error correction, and machine learning systems, with a particular emphasis on hardware-aware optimizations. She has received multiple prestigious awards, including the NSF CAREER Award (2020) and the IEEE TCHPC Early Career Researchers Award (2019). Scientific Awards: NSF CAREER Award (2020) IEEE Computer Society TCHPC Early Career Researchers Award (2019) Yufei actively advises Ph.D. students and postdoctoral researchers in quantum computing and machine learning systems. Her lab offers openings for both quantum computing and machine learning research.

Ali Osman ArslanView profile

Assistant Professor

• Electrical Engineering
• Power Electronics
• Electromechanical Energy Conversion
• +3 more

Dr. Ali Osman Arslan is an Assistant Professor in the Department of Electrical and Electronics Engineering at Gaziantep University's Faculty of Engineering. He holds a Doctorate (2021) and Master's degree (2012) from Gaziantep University, specializing in Electrical Machinery and Power Systems. University: Gaziantep University School: Faculty of Engineering Department: Electrical and Electronics Engineering Academic Rank: Assistant Professor His research focuses on advanced power conversion systems, including modular multilevel converters , hybrid inverter topologies , and adaptive control techniques for renewable energy integration and industrial applications. He has extensively studied phase-shifted PWM methods, arm inductance optimization , and submodule topologies in converter systems. Recent publications analyze comparative performances of FACTS devices and future prospects of modular converter technologies. He teaches graduate courses like Advanced Static Power Conversion and undergraduate courses covering Power Electronics and Electromechanical Energy Conversion . Scientific Awards: 2023 Most Original Design Award (Akıncılar Team) 2022 First Place & Performance Prize (Akıncılar Team) 2021 First Place Local Award (Hidden Danger R&D Team) 2021 Most Original Design Award (Toprak R&D Team) Projects: Led 2022-2023 Teknofest student support projects and contributed to electromagnetic high-speed train development (2009-2010).

Praveen TammanaView profile

Assistant Professor

• Systems and Networking
• Network Security
• Software-Defined Networking
• +7 more

Dr. Praveen Tammana is an Assistant Professor in the Department of Computer Science and Engineering at Indian Institute of Technology Hyderabad , where he leads the NetX lab focusing on systems, networks, and security research. He completed his PhD from University of Edinburgh (2013-2018) and holds a Masters from IIT Madras (2009-2011). Education: Ph.D in Computer Science, University of Edinburgh, UK (2013-2018) Masters in Computer Science, IIT-Madras, India (2009-2011) B.E. in Computer Science, Vasavi College of Engineering, Osmania University (2005-2009) Research Focus: His research spans systems and networking , network security , software-defined networking (SDN) , machine learning for networks , wireless communication , high performance computing , and cybersecurity . His lab specializes in programmable data planes using technologies like P4, eBPF, DPUs, and PISA switches. Research Applications: His recent work demonstrates strong focus on AI infrastructure systems , including distributed AI learning and serving, networked robotics, GPU-centric packet processing, and edge cloud applications for autonomous systems. His research bridges the gap between networking infrastructure and AI workloads. Recent Publications Trend: His 2021-2025 publications show significant contributions to network security , programmable switches , edge computing , and AI systems integration . Key themes include securing traffic control systems, AI workload optimization, malicious traffic detection, and real-time applications for autonomous vehicles. Current Funding: Actively funded by industry partners including Mondee (systems for AI workloads), Marvell Technology (data acceleration offload), and ZF India (efficient load-balancer for edge applications). Lab and Team: Leads NetX lab at IIT Hyderabad, actively recruiting full-time research candidates for exciting projects in AI infrastructure, networked systems, and programmable networks. The lab focuses on building next-generation systems for AI workloads and secure network architectures.

• Photonics
• Optical Communications
• Photonic Integrated Circuits
• +4 more

Hercules Avramopoulos is a full Professor at the National Technical University of Athens (NTUA) within the School of Electrical and Computer Engineering, where he heads the Photonics Communications Research Laboratory (PCRL). His work bridges academic research and industrial application in photonics, with leadership in European collaborative projects. His educational background includes a BSc and MSc in Physics and Applied Optics from Imperial College London, followed by a PhD in Physics (1989) focusing on nonlinear effects in lasers and optical fibers. Prior to NTUA, he conducted research at AT&T Bell Laboratories. Avramopoulos' research spans photonic integrated circuits , quantum communications , optical interconnects , and biophotonics sensing . Current work emphasizes monolithic/hybrid photonic integration (silicon, InP, polymers), quantum key distribution (QKD) for satellite/terrestrial networks, and photonic sensors for composite manufacturing. His group develops advanced modulation formats, DSP techniques, and all-optical switching systems. Recent publications show strong focus on quantum-classical coexistence in fiber/FSO networks, 6G X-haul architectures combining fiber/mmWave/FSO, and embedded photonic sensors for industrial processes. Key trends include satellite QKD feasibility, SDN-controlled hybrid transport, and machine learning-enhanced optical signal processing. He has supervised 26 completed PhD theses with 12 current doctoral students. Alumni include 10 faculty members at Greek/European universities and professionals at Cisco, Nokia, and the European Patent Office. PCRL has participated in over 60 European projects (coordinating ~30), including current initiatives like POLYNICES and TWILIGHT. PCRL maintains a 30-member team developing photonic solutions across five domains: optical interconnects, DSP, PIC design, biophotonics, and quantum communications. The lab holds 5 patents and has produced 500+ publications (200+ journal articles). Current infrastructure supports quantum communications research for IYQ2025 (International Year of Quantum 2025) initiatives.

Ali MehrpooyaView profile

Research Fellow

• Beyond-5G/6G Networks
• Artificial Intelligence and Machine Learning
• Field-Programmable Gate Arrays (FPGAs)
• +6 more

Ali Mehrpooya is a Senior Research Associate at the School of Electrical, Electronic and Mechanical Engineering at the University of Bristol. His research focuses on implementing next-generation wireless networks (Beyond-5G/6G) with specialization in hardware acceleration technologies. Dr. Mehrpooya holds BSc, MSc, and PhD qualifications. His academic background has led him to specialize in advanced communication systems with hardware implementation expertise. His primary research interests center on applying AI and machine learning models on field-programmable gate arrays (FPGAs) and systems on chips (SoCs), particularly Zynq RFSoC and MPSoC platforms. He is actively involved in multiple research groups including FPGA and SoC Development, Beyond 5G and 6G, AI & Robotics, and High Performance Networks. His work explores how these technologies can revolutionize communication capabilities across various applications within B5G/6G networks. His recent publications demonstrate cutting-edge work in nanosecond optical switching technologies, addressing critical challenges in network recovery, topology optimization, and dynamic traffic management. The research shows a clear integration of AI/ML techniques with hardware acceleration to solve complex networking problems for next-generation communication systems. Dr. Mehrpooya is affiliated with the Smart Internet Lab's HPN Group at the Merchant Venturers Building in Bristol. This research environment focuses on advanced networking solutions for high-performance applications and next-generation communication infrastructure.

David V. PlantView profile

Professor

• Optical Communications
• Silicon Photonics
• Photonic Integrated Circuits
• +7 more

David V. Plant is a Professor in the Department of Electrical & Computer Engineering at McGill University , where he leads the Plant Group . His research spans optical communications , silicon photonics , and photonic integrated circuits , with a focus on high-speed data transmission systems for data centers and beyond. Research Interests: Optical Communications: Coherent and direct detection systems, high-capacity WDM links, quantum encryption. Silicon Photonics: SiP modulators, receivers, switches, and PICs for next-gen interconnects. Data Center Interconnects: Tbps-scale links using TFLN MZMs, QD-MLL combs, and CMOS drivers. Microwave Photonics: Reconfigurable filters, optoelectronic oscillators, and signal processors. Biomedical Optics: Seismocardiography signal generation and analysis using ML techniques. Scientific Awards: Lumentum Diversity, Inclusion, & Belonging Scholarship (industrial award) The Marconi Society’s 2023 Paul Baran Young Scholar (international award) Advanced Photonic Congress SPPCom Best Student Paper Presentation (international award) 2023 IEEE Photonics Society Graduate Student Fellowship (international award) 2023 SPIE Scholarship in Optics and Photonics (international award) Supervision & Grants: Prof. Plant has supervised numerous Ph.D., M.Eng., and post-doctoral researchers, including recipients of prestigious awards. His group collaborates with industry leaders like Ericsson, Ciena, and Lumentum, securing patents and advancing commercial applications in optical networking. Labs & Teams: The Plant Group operates within McGill’s ECE department, fostering a multidisciplinary environment for experimental and theoretical research in photonics. The team includes research professionals, visiting scholars, and administrative support from STARaCom.

Johan HellsvikView profile

Researcher

• Materials Science
• Condensed Matter Physics
• Magnetism
• +7 more

Johan Hellsvik is a visiting researcher at Uppsala University's Department of Physics and Astronomy (Materials Theory) and an application expert in materials theory at PDC Center for High Performance Computing , Royal Institute of Technology (KTH). His work focuses on advanced atomistic spin dynamics simulations and predictive modeling of magnetic materials, particularly organic and quantum systems. He contributes to initiatives like the Swedish QuEST for BIFROST and the Organic Materials Database (OMDB) . Research Interests Modeling organic magnetic materials via materials informatics Ultrafast magnetization dynamics in multisublattice systems Frustrated and multiferroic materials Spin-lattice dynamics with first-principles accuracy Development of the UppASD software Publications highlight trends in spin-wave excitation spectra (2020), spin-lattice coupling (2019), and foundational methodologies for atomistic spin dynamics (2008–2012). His work bridges theoretical physics, computational modeling, and practical applications in neutron spectroscopy and spintronics.

Paul MotzkiView profile

Professor

• Smart Materials
• Mechatronic Systems
• Shape Memory Alloys (SMA)
• +5 more

Prof. Dr.-Ing. Paul Motzki holds the professorship ' Smart Material Systems for Innovative Production - SMiP ' at Saarland University (Department of Systems Engineering) and leads the research area ' Smart Material Systems ' at ZeMA - Center for Mechatronics and Automation Technology gGmbH . His work focuses on smart materials like shape memory alloys (SMA) and electroactive polymers (EAP), which exhibit property changes under external stimuli (electric fields, temperature) to enable energy-efficient systems such as self-sensing actuators, soft robotics, and smart textiles. Research Themes : Bio-inspired actuation, elastocaloric cooling, self-sensing technologies, and industrial automation. Scientific Trends : Recent publications emphasize advancements in dielectric elastomer actuators (DEAs), SMA-driven robotics, thermal management in smart materials, and predictive modeling for industrial applications. Key subfields include triply periodic minimal surfaces for elastocalorics, hybrid actuator systems, and textile-integrated feedback mechanisms. Labs & Collaborations : Research is conducted in collaboration with ZeMA, leveraging joint appointments under the Thuringian Model. Key projects involve energy-efficient grippers, soft robotic modules, and medical devices.

Fanny Forsberg LundellView profile

Professor

• Second Language Acquisition
• Romance Languages
• French Linguistics
• +3 more

Fanny Forsberg Lundell is a Professor at Stockholm University's Department of Romance Studies and Classics within the Faculty of Humanities. She currently serves as Head of Department (since 2023) and has held various administrative roles including Vice chair of the Recruitment board for languages (2021-2023) and member of the Faculty of Humanities board (2021-2023). Her educational background includes a Bachelors degree in French with a minor in Spanish and a PhD from Stockholm University (2007). She progressed from research fellow positions (2007-2015) to Associate Professor in French (2013), Permanent Associate Professor in French Linguistics (2015), and finally Professor in French (June 2020). She also holds an affiliation as Professeure associée at Université Laval, Québec. Forsberg Lundell's research focuses on Second Language Acquisition , particularly examining language and integration, pragmatics, and spoken language in French and Spanish. Her work emphasizes the importance of social and psychological factors in adult language learning, as demonstrated in her Swedish Research Council project Global Mobility and Adult Second Language Acquisition (2018-2021) and her involvement in the FNS project Developing an L2 grammar-for-interaction . Her recent publications reveal a consistent focus on high-level proficiency in second language acquisition, examining topics such as nativelikeness perception, formulaic language, collocation knowledge, and the impact of individual differences in language learning. Her work spans both theoretical and applied linguistics, with strong connections to language policy and integration issues in migration contexts. She serves on the Editorial Boards of JESLA and Intercultural Pragmatics , is a Review Editor for Frontiers in Educational Psychology , and regularly referees for numerous international journals including IRAL , LIA , and Language Learning . Forsberg Lundell is actively involved in two research groups at Stockholm University: Romance Linguistics (RomLing) and Romance Languages and Second Language Acquisition (RomSLA). As a supervisor, she guides multiple PhD students working on Spanish and French as second languages, focusing on pragmatic aspects, sociopragmatic components, and advanced language acquisition phenomena. Her academic service extends to teaching Bachelor and Advanced level courses in Second Language Acquisition and Romance Languages, as well as supervising theses in these areas.

Jae-sun SeoView profile

Assistant Professor

• Machine Learning
• Neuromorphic Algorithms
• Integrated Power Management
• +5 more

Jae-sun Seo is an Assistant Professor at Arizona State University's School of Electrical, Computer and Energy Engineering (ASU), joining in 2014. He previously worked at IBM T. J. Watson Research Center (2010-2013) and held internships at Intel and Sun Microsystems during his graduate studies. His research focuses on machine learning hardware , neuromorphic algorithms , and power management , with expertise in FPGA acceleration and VLSI design. Key research themes: Hardware acceleration of deep learning via FPGAs Neuromorphic computing with CMOS and resistive devices Energy-efficient integrated circuits for AI Power management techniques in high-performance processors His awards include the Samsung Scholarship (2004-2009), IBM Technical Achievement Award (2012), and NSF CAREER Award (2017). He has served on program committees for ISLPED, ISOCC, and ICCD, and reviewed for ISCAS.