Find Academic Supervisors

• Grassland Ecology
• Forage Science
• Sustainable Livestock Production
• +4 more

Juan Solomon serves as an Associate Professor in the Department of Agriculture, Veterinary and Rangeland Sciences at the University of Nevada, Reno. His research lab operates from Building FA, Room 226d (Mail Stop 202), with direct contact via (775) 784-6888 or juansolomon@unr.edu. Education: B.S. in Agriculture, University of Guyana (2000) Graduate Diploma in Education-Science, University of Guyana (2005) M.S. in Agriculture, Mississippi State University (2010) Ph.D. in Agriculture, Mississippi State University (2013) Research Focus: Dr. Solomon's work centers on grassland ecology and sustainable pastoral systems for ruminant livestock, with emphasis on grazing management, forage quality evaluation, and drought-tolerant crop development. His research program investigates water use efficiency in semiarid forage systems, nutrient cycling dynamics, and climate-resilient crop screening—particularly for native and improved forages in arid western environments. Field studies often integrate ecosystem service valuation with practical livestock production metrics. Publication Trends: Recent work (2023-2025) demonstrates concentrated expertise in alternative forage systems, with 15 high-impact studies examining teff double-cropping, industrial hemp varietals, and cover crop nutrient cycling in Nevada's semiarid landscapes. Key methodological approaches include deficit irrigation analysis, nitrogen optimization trials, and biomass decomposition modeling—all targeting resource-efficient agricultural solutions for water-limited regions.

Christoph TrinklView profile

Professor

• Green Technologies
• Renewable Energy Technologies
• Solar Energy Engineering
• +6 more

Dr. Christoph Trinkl serves as Head of the Institute of new Energy Systems (InES) at Technische Hochschule Ingolstadt, a position he has held since 2008. His work focuses on renewable energy technologies and sustainable energy systems development, with particular expertise in solar thermal applications and system integration. His research interests include: Green Technologies Renewable Energy Technologies Solar Energy Engineering Solar Heating and Cooling Renewable Energy Systems for Industrial, Domestic and Mobility Applications Technology Transfer and Network Management Dr. Trinkl's educational background includes a PhD in Engineering from De Montfort University Leicester's Institute of Energy and Sustainable Development (UK) in 2007, following his work as a researcher at Technische Hochschule Ingolstadt from 2001-2007. His degree course in Mechanical Engineering and Business (1997-2001) provided the foundation for his interdisciplinary approach to energy systems. His recent publications demonstrate a strong focus on practical applications of renewable energy technologies, particularly in solar thermal systems, heat pump integration, and district heating networks. His research spans from fundamental engineering analysis of collector technologies to large-scale system integration and optimization, with increasing emphasis on real-world implementation challenges and optimization techniques including AI-driven approaches. Dr. Trinkl's extensive publication record spanning over two decades shows an evolution from fundamental collector technology research to broader energy system integration, addressing both technical and practical implementation considerations across diverse contexts from industrial applications to rural energy access solutions.

• Quantum Information Theory
• Quantum Many-Body Theory
• Quantum Optics
• +7 more

Prof. Dr. Jens Eisert is a Professor at the Free University of Berlin, where he leads the Quantum Many-Body Theory, Quantum Information Theory, and Quantum Optics research group (Eisert AG) within the Institute of Theoretical Physics at the Dahlem Center for Complex Quantum Systems. His office is located at Arnimallee 14, Room 1.3.06 in Berlin-Dahlem. His research focuses on the intersection of quantum information theory and condensed matter physics, specifically exploring what information processing tasks are possible using individual quantum systems as information carriers. His group develops mathematical-theoretical foundations of quantum information, particularly in entanglement theory and tomography, while also investigating quantum optical implementations using light modes or cold atoms in optical lattices. A major emphasis of their work is on quantum many-body systems, including static properties, efficient numerical simulation methods like tensor networks, and non-equilibrium quantum dynamics. Recent publications highlight significant contributions in thermalization of quantum systems (Communications Physics 2025), quantum thermodynamics (Nature Physics 2025), and quantum error correction (PRX Quantum 2025). The group's work is characterized by combining the rigor of mathematical physics with physically motivated applicability, frequently leading to direct collaborations with experimental groups. Quantum Information Theory Quantum Many-Body Theory Quantum Optics Entanglement Theory Tensor Networks Quantum Error Correction Prof. Eisert maintains active supervision of numerous PhD students and postdoctoral researchers, with research positions regularly available in areas including quantum error correction, quantum information theory, tensor networks, and quantum simulation. His group has published extensively in top journals including Nature Physics, PRX Quantum, and Physical Review series.

Marc ReichenbachView profile

Professor

• Integrated Circuits
• Embedded Systems
• VLSI Design
• +7 more

Prof. Dr.-Ing. Marc Reichenbach serves as the Chair of Integrated Systems at the Institute for Applied Microelectronics and Data Technology at the University of Rostock. His office is located at Albert-Einstein-Straße 26, 18059 Rostock, Room 102 (1st floor), with contact information including telephone (0381) 498 7270 and email marc.reichenbach@uni-rostock.de. Professor Reichenbach's research focuses on the intersection of hardware design and artificial intelligence, with particular expertise in memory technologies and computing architectures. His work spans several key areas: Development of specialized computer architectures for deep learning applications Advanced VLSI design and CPU architecture Emerging memory technologies, particularly RRAM (Resistive Random-Access Memory) FPGA-based acceleration systems Hardware implementations for neural networks and AI applications Analysis of Professor Reichenbach's recent publications (2023-2025) reveals a strong focus on memory computing technologies, particularly RRAM-based systems. His work demonstrates expertise across multiple dimensions of computer architecture including ASIC design, FPGA acceleration, and novel memory systems. The publications show a clear trajectory toward implementing AI and machine learning capabilities directly in hardware, with applications ranging from edge computing to satellite systems. A significant portion of his recent work addresses the challenges of implementing neural networks using emerging memory technologies, focusing on efficiency, reliability, and performance optimization. Professor Reichenbach teaches several advanced courses including: Computer architectures for deep learning applications Project seminar Embedded Systems Advanced VLSI Design (Advanced CPU Design) His research group appears to be actively engaged in several cutting-edge projects related to hardware acceleration for AI applications, memory computing, and embedded systems design. The group collaborates on projects involving digital twins for hardware systems, real-time operating systems for heterogeneous architectures, and specialized computing systems for various applications from medical devices to drone technology.

Wolfgang Schröder-PreikschatView profile

Professor

• Distributed Systems
• Operating Systems
• Main Memory Technologies
• +4 more

Prof. (ret.) Dr.-Ing. habil. Wolfgang Schröder-Preikschat is a retired Full Professor at the Friedrich-Alexander University (FAU) Erlangen-Nuremberg, affiliated with the Chair of Computer Science 4 (System Software). His expertise focuses on distributed systems, operating systems, and resilient computing architectures. Affiliations: Faculty of Engineering, Department of Computer Science Key Roles: Former Chair of Computer Science 4, Co-lead scientist in Priority Program 2377 (Disruptive Main Memory Technologies) and Priority Program 2378 (Resilient Worlds) Research Contributions: Specializes in power-aware non-volatile memory systems (PAVE project), robust embedded data communication (ResPECT project), and fault-tolerant distributed systems. His work addresses challenges in main memory technologies, system resilience against failures/attacks, and energy-efficient computing. Projects: Leads initiatives like Power Failure-Aware Virtual Non-Volatile Memory (PAVE) and Robust, Power-Efficient Embedded Data Communication Stations (ResPECT), advancing system software reliability and efficiency. Contact: Room 0.054, Martensstr. 1, Erlangen. Email: wosch@cs.fau.de , Website: sys.cs.fau.de/~wosch

Andrew BisharaView profile

Assistant Professor

• Machine Learning in Healthcare
• Artificial Intelligence in Clinical Decision Support
• Perioperative Medicine
• +12 more

Andrew Bishara, MD, is an Assistant Professor in Residence in the Department of Anesthesiology within the School of Medicine at the University of California, San Francisco (UCSF). He is affiliated with multiple UCSF clinical sites, including Mission Bay, Mount Zion, and Parnassus, and is actively involved in the AI Clinical Innovation Lab, Transplant Anesthesia Research Group, and POCCO (PeriOperative Cardiac Complications Observatory). His clinical practice as an anesthesiologist is deeply integrated with his research in machine learning and artificial intelligence for perioperative care. Dr. Bishara's educational background includes a BSE in Mechanical Engineering from MIT (2009), an MD from Harvard Medical School (2014), and a D.ABA. in Anesthesiology from UCSF (2019). He also completed specialized training in Medical Informatics and Artificial Intelligence through the Bakar Computational Health Sciences Institute (2020) and a Diversity, Equity, and Inclusion Champion program at UCSF (2022). His research focuses on developing and validating machine learning models to predict and prevent surgical complications such as acute kidney injury, postoperative delirium, pain, and blood loss in real time. He emphasizes creating clinically usable models and improving AI-human interfaces for seamless integration into clinical workflows. His work also explores gender-based disparities in coronary artery disease diagnosis using EHR data analytics. His recent publications demonstrate expertise in AI quality improvement, model implementation in acute care, and predictive modeling across diverse surgical and critical care domains. He co-founded Bezel Health, a company focused on healthcare quality measurement, reflecting his commitment to translating research into real-world impact. Clinical Artificial Intelligence Quality Improvement Real-time Risk Assessment in Surgery AI Integration in Anesthesia Gender Disparities in Cardiac Care Transplant Anesthesia Research Regulatory Aspects of AI in Medicine Dr. Bishara is actively engaged in advancing perioperative medicine through innovation in data science and AI, with a strong emphasis on improving patient outcomes, equity, and clinical workflow efficiency.

• Open Innovation
• Technology Transfer
• Food Industry Innovation
• +4 more

Barbara Bigliardi is an Associate Professor at the Department of Engineering and Architecture, University of Parma, with national scientific qualification for full professor in Economic-Management Engineering (SSD ING-IND/35). She serves as President of the Management Engineering Program at University of Parma and Director of Bachelor's/Master's programs at University of San Marino, co-leading double-degree initiatives between the two institutions. Over 100 publications (57 SCOPUS-indexed) with H-index=20 Editorial roles: Cambridge Scholars Publishing (2019), MDPI Sustainability, Sci, European Journal of Innovation Management Key research areas: Open Innovation, Technology Transfer, Food Industry Innovation, Industry 4.0, Supply Chain Sustainability Recent Publications (2024-2025) demonstrate leadership in: Industry 4.0 integration with circular economy AI applications in public administration and healthcare Digitalization of food supply chains Green startup resource orchestration Simulation-based optimization in remanufacturing Sustainable additive manufacturing Scientific Recognition : 2005 Emerald Highly Commended Award 2013 Most Cited Paper in Trends in Food Science & Technology 2019 Highly Cited Paper in Review of Policy Research Research Leadership includes: National Observatory on Start-ups (President since 2021) National Observatory on Reputation (Vice President since 2019) INAIL-funded mobile risk assessment systems (2018-2020) INAF space technology transfer projects (2018-present) Academic Contributions : Supervised over 300 theses Deputy Coordinator of Industrial Engineering Doctoral Program Director of Management Engineering Programs (Parma & San Marino) Founder of academic spin-offs: Sistemi per il marketing di contenuto S.r.l. (2016-present), Univenture SrL (2006-2010)

Sonja Paus-BuzinkView profile

Assistant Professor

• Human Factors
• Ergonomics
• Usability
• +8 more

Sonja Paus-Buzink is an Assistant Professor in Human Factors at TU Delft’s Faculty of Industrial Design Engineering, specializing in the Human-Centered Design department. Her research focuses on integrating human factors/usability evaluation into medical device and healthcare service design, emphasizing inclusive design perspectives. She teaches courses on human factors, usability, and medical device regulation, supervising students in research and graduation projects. Academic Background: PhD from TU Delft (Medisign Research Group), co-funded by Catharina Hospital, focusing on patient safety in image-based surgical procedures and VR/AR simulation tools. Postdoctoral work on surgical skillslabs and scientific coordination of the European Laparoscopic Surgical Skills Program. Previously a Managing Human Factors Specialist at UL-Wiklund R&D, advising medical device manufacturers on regulatory compliance. Research Interests: Human factors, ergonomics, medical device design, patient safety, inclusive design, surgical training, and healthcare technology. Her work bridges clinical, engineering, and psychological disciplines to enhance healthcare outcomes. Awards: Summa Cum Laude MSc in Industrial Design Engineering (TU Delft). Best IDE Graduate of the Year award at TU Delft. Grants & Collaborations: Collaborations with medical institutes, simulator companies, and organizations like the European Association for Endoscopic Surgery (EAES). Her research emphasizes cross-disciplinary teamwork to address challenges in surgical training and medical device usability. Labs/Teams: Engaged with TU Delft’s Medisign research group and skillslab initiatives. Active in developing tools for surgical training and patient safety in operating rooms.

Lauri SaarinenView profile

Assistant Professor

• Supply Chain Management
• Operations Management
• Analytics
• +7 more

Lauri Saarinen is an Assistant Professor in the Department of Industrial Engineering and Management at Aalto University. He holds a Master's degree (2012) and Bachelor's degree (2010) in Engineering and Technology from Aalto University. His research focuses on supply chain resilience, operations management, and agile planning strategies, particularly in pandemic response and digitalization challenges in developing economies. He has contributed to over 18 peer-reviewed publications since 2016, emphasizing topics like grocery supply chain dynamics, food waste reduction, and volatility modeling. Key research interests include supply chain management, operations analytics, and responsiveness in manufacturing systems. His work intersects with healthcare operations, innovation, and sustainability, addressing global challenges such as pandemic disruptions and digital economy barriers in countries like Pakistan. Collaborations span international scholars and industry partners, reflected in multi-authored reviews and case studies. Media engagements highlight his expertise in pandemic supply chain adaptation, featured in articles discussing grocery sector resilience and food waste strategies. He has supervised three theses and actively participates in academic networks, contributing to conferences like EurOMA 2024.

Shujing SunView profile

Assistant Professor

• Healthcare IT
• Social Media Analytics
• Telemedicine
• +4 more

Dr. Shujing Sun is an Assistant Professor of Information Systems at the Naveen Jindal School of Management, University of Texas at Dallas. Her research focuses on Healthcare IT, Social Media Analytics, and the intersection of digital technologies with healthcare operations. She holds a PhD from the University of Rochester (2020) and a BS from Tianjin University (2014). Her work addresses critical challenges such as ER overcrowding, telemedicine adoption, and patient decision-making influenced by social media. Notable contributions include studies on telemedicine's impact on emergency care efficiency and antibiotic prescription patterns. Dr. Sun’s research has been recognized with awards including the Best Paper Award at the 52nd Hawaii International Conference on System Sciences (2019) and a finalist position in the INFORMS Student Paper Competition (2019). Her recent articles analyze telemedicine’s role in healthcare productivity, algorithm vs. social influence in patient choices, and identity cues in social media customer service. Ongoing projects explore healthcare access disparities and the dynamics of online customer complaints. She actively contributes to field experiments in operations management and has published extensively on healthcare IT innovations.

• Thermoelectric materials
• Solar energy harvesting
• Photovoltaic systems
• +5 more

Professor Gao Min Gao is a distinguished academic at Cardiff University's School of Engineering, holding the position of Professor of Energy Materials and Head of the Thermoelectric Laboratory. With over 25 years of experience in thermoelectric research, he has established himself as a leading expert in energy conversion technologies. His career at Cardiff University spans from Research Assistant/Associate (1993-1999) to his current professorship (2016-Present), with progressive academic promotions reflecting his significant contributions to the field. BSc in Semiconductor Physics from Xidian University, China PhD in Thermoelectrics under Professor D M Rowe at Cardiff University, UK Professor Gao's research focuses on fundamental understanding of thermoelectric processes for energy harvesting applications, with key areas including thermoelectric materials and devices, solution processed solar cells (Perovskite, OPV), concentrated photovoltaic/thermoelectric systems, and magnetocaloric materials. His work has significantly advanced the field, particularly through his early contributions to Peltier module applications for waste heat recovery and the development of improved TE module theory. His current research emphasizes novel characterization techniques for thermoelectric processes and innovative concepts for full-spectrum solar energy harvesting based on hybrid PV-TE systems. His extensive publication record demonstrates consistent high-impact research output across thermoelectrics and solar energy conversion. The articles show a clear progression from fundamental thermoelectric theory to practical applications and hybrid systems, with recent work focusing on spectral splitting, advanced concentrator designs, and novel material systems like Fe11Ti3Al6 alloys. His research bridges fundamental physics with practical engineering applications, particularly in waste heat recovery and solar energy harvesting. Board Member of European Thermoelectric Society (2013-2019) Member of EPSRC Review College (2016-Present) Theme coordinator (Device Physics), UK Thermoelectric Network (2016-Present) Independent expert for EC H2020 Programme (2014-2016) Professor Gao has supervised numerous PhD students, with current projects spanning laser micro-spectroscopy, next-generation photovoltaics, graphene/ceramic composites, and full-spectrum solar energy harvesting. His externally funded research includes significant projects such as the EU-RFCS-funded 'Development of innovative TEG systems optimized for energy harvesting from EAF off-gas cooling water' (2020-2024) and the EPSRC SUPERGEN project on 'Environmental impact of perovskite solar cell' (2019). His Thermoelectric Laboratory at Cardiff University serves as a hub for cutting-edge research in energy materials and conversion technologies.

Guido VoigtView profile

Professor

• Supply Chain Management
• Logistics
• Behavioral Operations Management
• +2 more

Prof. Dr. Guido Voigt serves as a Professor at the Institute for Logistics and Supply Chain Management within the University of Hamburg Business School. His office is located at Moorweidenstraße 18, Room 2013, Hamburg, with contact details including phone +49 40 42838-1549 and email guido.voigt@uni-hamburg.de. Office hours are by appointment. His research centers on Supply Chain Management and Behavioral Operations, focusing on contract design under asymmetric information, inventory management, remanufacturing, and sustainability. Key themes include the impact of communication media on supply chain information sharing, carbon footprint reduction strategies, and behavioral modeling of consumer choices in service operations. His work bridges theoretical optimization with empirical assessments of decision-making. Recent publications (2024-2015) reveal a trajectory toward behavioral supply chain dynamics, examining online appointment systems, ratchet effects in contracting, and ambiguity aversion in remanufacturing. The body of work consistently addresses information asymmetry and risk management through experimental and modeling approaches. No scientific awards are documented in the source material. No information regarding student advising or research grants is provided in the available text. Prof. Voigt leads the Institute for Logistics and Supply Chain Management at the University of Hamburg Business School, collaborating with researchers including Alexander Daniels, Hannes Cordes, Victoria Riemer, and Ira Widderich. The institute maintains active research streams in logistics optimization and behavioral supply chain phenomena.

Wei SongView profile

Professor

• Mobile Social Networks
• Internet of Things
• Vehicular Networks
• +10 more

Dr. Wei Song is a Professor and the Coordinator of Software Engineering at the Faculty of Computer Science, University of New Brunswick (UNB) in Fredericton, New Brunswick, Canada. She has been with UNB since 2009, after completing her postdoctoral studies at UC Berkeley, and has established herself as a leading researcher in mobile networking and wireless communications. Her office is located in room ID419 and she can be reached at wsong@unb.ca. Education Ph.D. in Electrical and Computer Engineering, University of Waterloo (2003-2007) Postdoctoral Fellow, Department of Electrical Engineering and Computer Sciences, University of California, Berkeley (2008-2009) Research Focus Dr. Song's research spans multiple cutting-edge areas in mobile and wireless networking, with a strong emphasis on integrating artificial intelligence and machine learning techniques. Her work addresses fundamental problems in mobile social networks, Internet of Things, vehicular networks, and mobile cloud computing. She explores how cooperative intelligence and distributed AI can enhance network performance while addressing practical constraints such as energy efficiency and user incentives. Her recent work particularly focuses on intelligent edge computing, mobile crowdsensing with deep reinforcement learning, and social-aware data dissemination through device-to-device communications. She investigates how to turn decentralized mobile "crowds" into coherent working groups and how social connections can be leveraged to improve data dissemination efficiency. Publication Trends Dr. Song's recent publications (2016-2023) demonstrate a clear evolution from traditional wireless networking to AI-driven approaches. While her earlier work focused on fundamental problems in device-to-device communications and resource allocation, her recent publications increasingly incorporate deep reinforcement learning, graph neural networks, and other AI techniques to solve complex optimization problems in mobile crowdsensing and edge computing. This shift reflects broader trends in the field toward intelligent, adaptive networking solutions. Scientific Recognition Best Paper Award from IEEE ICC (2018) UNB Merit Award (2014) Best Student Paper Award from IEEE CCNC (2013) Top 10% Award from IEEE MMSP (2009) NSERC postdoctoral fellowship (2008) Best Paper Award from IEEE WCNC (2007) Professional Service and Mentoring Dr. Song serves as Senior Member of IEEE and has held significant leadership roles, including Chair of the Joint Computer and Communications Chapter of IEEE New Brunswick Section (2014-2020). She has chaired symposia at major conferences including IEEE VTC Fall 2023, 2017, and 2016. As a supervisor, she mentors graduate students in areas including intelligent edge computing and deep learning for networking, and is currently recruiting students for Winter 2024 and Fall 2025.

Winifred ObandeView profile

Lecturer

• Sustainable Composites
• Life-cycle Assessment
• Waste Valorisation
• +4 more

Dr Winifred (Wini) Obande serves as a Lecturer and Elizabeth Georgeson Fellow within the Department of Mechanical Engineering at the University of Edinburgh's School of Engineering. Her research focuses on sustainable composite materials development through circular engineering principles. Her academic credentials include a PhD in Mechanical Engineering from the University of Edinburgh, an MRes in Mechanical Engineering from the University of Limerick, and a BEng in Biomedical Engineering from the same institution. Professional memberships encompass the Institution of Engineering and Technology (IET), Society for the Advancement of Material and Process Engineering (SAMPE), and Institute of Materials, Minerals and Mining (IOM3). Dr Obande leads the Circular Composites Engineering Group , pioneering resource-efficient lightweight materials through life-cycle assessment integration. Her work emphasizes waste valorisation and bio-based feedstocks as virgin material alternatives, with rigorous functionality/durability testing. Current research spans thermoplastic composites for marine applications, manufacturing process innovation, and end-of-life recycling strategies. Analysis of her publication record reveals dominant themes in marine-grade thermoplastic composites and sustainable manufacturing . Key trends include room-temperature resin infusion techniques, seawater ageing effects on glass-fibre composites, and thermal reshaping for composite recycling – all targeting tidal energy infrastructure applications. Her scientific recognition includes the prestigious Elizabeth Georgeson Fellowship. She actively serves on the SAMPE UK & Ireland Committee and co-founded the Edinburgh Materials Society. Dr Obande supervises PhD candidates through the Circular Composites Engineering Group, currently offering projects on recycled fibre alignment and sustainable manufacturing processes. Her Royal Academy of Engineering-funded project "Alignment and Functionalisation of Waste Fibres into High-Value Composite Materials" (2025-2030) represents significant grant leadership. The Circular Composites Engineering Group operates at the intersection of materials science and environmental sustainability, collaborating with tidal energy developers and waste management specialists to advance circular economy implementation in composite manufacturing.

• High-performance 2D electronic devices
• New-principle nanoelectronic devices
• Integrated circuits based on high-performance 2D electronic devices
• +3 more

Peng Chen is an Associate Professor at the Shenzhen-Hong Kong Institute of Microelectronics, Southern University of Science and Technology, Shenzhen, China. He has served in this position since December 2022, following his role as an Assistant Professor from September 2021 to December 2022 at the same institution. Educational Background: Ph.D. (2010-2016), Institute of Physics, Chinese Academy of Sciences, China Bachelor (2006-2010), Department of Physics, Northwestern University, China Dr. Chen's research focuses on developing high-performance two-dimensional semiconductor information devices and integration technologies for the post-Moore era. His work spans the development of new materials, novel device principles, and high-performance integrated circuits based on 2D electronic devices. By exploring the fundamental physics of 2D materials and their heterostructures, his research aims to overcome the performance limitations of conventional micro- and nanoelectronic devices and circuits. His publication record demonstrates expertise across multiple domains of 2D materials research, with particular emphasis on transition metal dichalcogenides like WS2 and WSe2. His work spans from fundamental material synthesis to device physics and practical applications in electronics and optoelectronics, reflected in publications in high-impact journals including Nature, Science, and Nature Materials. Scientific Awards: National High-level Young Talent Program (2022) Shenzhen High-level Talent Program (2021) First Prize of Science and Technology Award of China Materials Research Society (2020) Director Scholarship of Institute of Physics, Chinese Academy of Sciences (2015, 2013) Three Good Students of Chinese Academy of Sciences (2014, 2013) Dr. Chen serves as a Doctoral Supervisor with an impressive publication record of over 40 papers in top international journals, including 2 Nature, 1 Science, and 1 Nature Materials papers. His work has been cited over 4,000 times with an H-index of 29. He has secured funding through the National Natural Science Foundation of China's High-level Young Talent Program, a general program, and projects from the Shenzhen Municipal Science and Technology Innovation Commission. He actively serves as a reviewer for multiple journals and as a fund reviewer. Dr. Chen leads a research group focused on high-performance and new principle logic and sensing devices, exploring applications in next-generation information and life health technologies. The group maintains a strong academic atmosphere and welcomes postdoctoral fellows and graduate students with backgrounds in microelectronics, physics, materials science, and biology.