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Sean McGinnis serves as a Professor of Practice and Director of the Green Engineering Program within the Department of Materials Science and Engineering at Virginia Tech's College of Engineering. His academic and professional endeavors focus on advancing sustainable engineering practices through education, research, and industry collaboration. Dr. McGinnis earned his educational qualifications from prestigious institutions: a B.S. in Chemical Engineering and Materials Science from the University of Minnesota, followed by a Ph.D. in Materials Science and Engineering from Stanford University. His research program is centered on Green Engineering principles, with specific expertise in Life Cycle Assessment, Sustainable Manufacturing Processes, Design for Environment, Carbon Footprint Analysis, Renewable Energy systems, and Interdisciplinary Education methodologies. He has pioneered courses such as Introduction to Green Engineering (ENGR 3124) and Environmental Life Cycle Analysis (ENGR 4134) that equip students with tools to evaluate environmental impacts across product lifecycles. His Earth Sustainability course (UCCS 2984) further extends this interdisciplinary approach to broader societal challenges. Analysis of his publication record reveals a consistent trajectory toward sustainable technology innovation, particularly in the life cycle assessment of nanomaterials and waste streams. Recent work examines circular economy models for nanowaste recycling, environmental implications of nanoparticle synthesis, and the development of optical systems that mitigate harmful blue light exposure while maintaining visual performance. This research bridges materials science, environmental engineering, and human health considerations. Professional recognition for Dr. McGinnis includes: LEED AP BD&C certification Life Cycle Assessment Certified Professional designation Johnson & Johnson Standards of Leadership Award (2003) In his leadership capacity as Director of the Green Engineering Program, Dr. McGinnis oversees curriculum development that integrates sustainability across engineering disciplines. He has published on educational methodologies for assessing interdisciplinary integration of green engineering knowledge and has organized introductory green engineering courses for undergraduates. His work extends to operational phase life cycle assessment of facilities and sustainable provision of food and water systems.

• Green Engineering
• Life Cycle Assessment
• Sustainable Manufacturing Processes
• +4 more

Zhidan Zheng is a researcher at the Technical University of Munich (TUM), working within the Chair of Electronic Design Automation led by Prof. Ulf Schlichtmann. His office is located in room 0509.05.911 at Arcisstr. 21, 80333 Munich, with direct contact available via email zhidan.zheng@tum.de and phone +49 (89) 289 - 23692. Zheng holds a Master of Science degree as indicated by his academic title M.Sc. and has been actively contributing to the field of optical interconnects and network-on-chip design. Zheng's research focuses on wavelength-routed optical networks-on-chip, with particular expertise in network topology optimization, fault tolerance mechanisms, waveguide routing algorithms, and bandwidth allocation strategies. His work addresses critical challenges in photonic integrated circuit design, including thermal variation effects, crosstalk mitigation, and lifetime extension for communication-intensive systems. Zheng has developed several innovative methodologies including ToPro+ for topology projection, LightR for fault-tolerant architectures, and WROXIM for network-level simulation. Analysis of Zheng's publication trends from 2021-2025 reveals a consistent focus on practical implementation challenges of optical networks-on-chip. His research has evolved from foundational topology design (Light, 2021) to increasingly sophisticated solutions addressing reliability (LightR, 2023) and comprehensive system integration (ToPro+, 2025). The work demonstrates strong collaboration with researchers including Mengchu Li, Tsun-Ming Tseng, and Ulf Schlichtmann across multiple high-impact venues including DAC, DATE, ICCAD, and ASP-DAC. Zheng actively contributes to the Electronic Design Automation research group at TUM, participating in projects related to analog EDA, emerging technologies, and optical networks. His research is situated within TUM's broader initiatives in photonic integration and high-performance computing architectures, working closely with Prof. Schlichtmann's team on funded projects in the optical NoC domain.

• Optical Networks-on-Chip
• Wavelength-Routed Optical Networks
• Electronic Design Automation
• +4 more

Andrea Fumagalli is a Professor in the Department of Electrical Engineering at the Erik Jonsson School of Engineering and Computer Science , The University of Texas at Dallas. He earned his Ph.D. (1992) and Laurea (1987) in Electrical Engineering from Politecnico di Torino, Italy. Research Interests: All-Optical Network Architectures, Photonic Slot Routing, Wavelength Routing and Protection, Sensor Networks, Cooperative Wireless Networks, Network Optimization, Next Generation Internet (NGI), and Multi-hop Optical Networks. Education: Ph.D., Electrical Engineering, Politecnico di Torino (1992) Laurea, Electrical Engineering, Politecnico di Torino (1987) Key Research Trends: His recent publications focus on 5G networking, optical network automation, elastic optical networks, network reliability, and cross-layer optimization. He explores FPGA acceleration in 5G Low-PHY functions, live migration of containerized network components, and spectral fragmentation mitigation in EONs. Scientific Awards: Best Teaching Award, Electrical Engineering, UTD (2002) Best Thesis Award for Ph.D. Advisee Isabella Cerutti (2002) IEEE ComSoc Distinguished Lecturer Tour (2000) Best Paper Award (1999): 'An Optimal Design Algorithm for Photonic Slot Routing Networks Migrating to Optical Packet Switching' Advising and Grants: He advised Ph.D. student Isabella Cerutti. In 2001, he secured a $300,000 grant from FUNDACAO CPqD for optical network reliability research. He leads the Optical Networking Advanced Research (OpNeAR) Lab at UTD, collaborating on international projects like the Italian government-funded grid computing initiative (2002) and the OMEGA Test-bed for differentiated reliability. Laboratories and Teams: He directs the OpNeAR Lab , which develops tools for optical network emulation and reliability testing. His projects involve partnerships with institutions in Brazil (Unicamp), Sweden (KTH), Italy (Politecnico di Torino, Scuola Superiore Sant'Anna), and CNR/CNIT.

• Optical Networking
• Photonic Slot Routing
• Wavelength Routing and Protection
• +7 more

Dr. Chunming Qiao is a SUNY Distinguished Professor and Chair of the Department of Computer Science and Engineering at the University at Buffalo (SUNY) , leading the Lab for Advanced Network Design, Evaluation and Research (LANDR) since 1993. His work spans cyber-physical systems , optical networks , and Internet of Things (IoT) , with a focus on safety, reliability, and protocol design. Education: PhD in Computer Science from the University of Pittsburgh (1993) BS in Computer Science and Engineering from the University of Science and Technology of China (1985) Dr. Qiao’s research interests combine theoretical and applied network design, including autonomous vehicles , quantum computing , and cloud services . He pioneered optical burst switching (OBS) and iCAR systems for wireless convergence, cited in BusinessWeek and Wireless Europe . His recent publications emphasize quantum networking , federated learning , and autonomous driving security , with projects on entanglement routing , edge inference optimization , and LiDAR adversarial attacks . Articles span IEEE and ACM venues , and include best paper awards . Scientific Awards: TC-CSR Distinguished Technical Achievement Award (2015) SUNY Chancellor's Award for Excellence (2013) IEEE Fellow (2009) UB Exceptional Scholar-Sustained Achievement Award (2005) Dr. Qiao has secured over two dozen NSF grants and collaborations with Google , Cisco , and NEC Labs . His 7 US patents and consulting experience highlight his industry impact, while his editorial roles and conference leadership underscore academic influence. He actively contributes to multi-disciplinary research through the New York State Center of Excellence in Bioinformatics and Life Sciences and CEDAR , advancing high-performance computing and document analysis .

• Cyber-Physical Systems
• Optical Networks
• Wireless Networks
• +6 more

Stephen Ramsey, an Associate Professor at Oregon State University, holds dual appointments in the School of Electrical Engineering and Computer Science (College of Engineering) and the Department of Biomedical Sciences (Carlson College of Veterinary Medicine). With a PhD in Physics from the University of Maryland, his postdoctoral training in computational genomics at the University of Washington, and professional experience at the Institute for Systems Biology and Center for Infectious Disease Research, Ramsey bridges computational methods with biomedical applications. Education : Ph.D., Physics, University of Maryland; M.S., Physics, University of Maryland; Sc.B., Mathematical Physics, Brown University Ramsey specializes in computational systems biology , focusing on bioinformatics , biomedical knowledge graphs , and precision medicine . His research integrates machine learning , gene regulatory network modeling , and multi-omics data analysis to address challenges in rare disease diagnostics , drug monitoring , and inflammatory disease mechanisms . Current work includes AI-driven biomedical translation and electrochemical biosensor development for non-invasive diagnostics . Recent publications highlight knowledge graph applications in translational biomedicine , causal network inference in clinical-environmental data integration , and cross-species cancer transcriptomics . His team develops tools like RTX-KG2 and PloverDB to standardize biomedical data sharing and semantic reasoning . Scientific Awards : 2019 Zoetis Award (Carlson College of Veterinary Medicine) 2016 NSF CAREER Award 2016 PhRMA New Investigator Award 2010 NIH K25 Mentored Quantitative Research Award Ramsey advises in computational biology courses (CS 446/546) and contributes to biomedical AI through projects like mediKanren for rare disease diagnostics . His NSF-funded research explores gene expression noise and regulatory network dynamics , while NIH and PhRMA grants support his translational medicine initiatives. He leads the Ramsey Laboratory , which develops graph-based reasoning tools for biomedical data translation and multi-omics integration . The lab's work spans comparative oncology models, electrochemical biosensors , and knowledge graph infrastructure for clinical decision support .

• Computational Systems Biology
• Bioinformatics
• Precision Medicine
• +6 more

Ehsan Etezadi is a visiting researcher and doctoral student at Chalmers University of Technology, affiliated with the Department of Electrical Engineering (E2) and actively contributing to advancements in Optical Networks . His research focuses on Network Resource Allocation , Deep Reinforcement Learning , and Spectrum Management in Elastic Optical Networks . He has played a pivotal role in the PROTECT project (2021–2024), which addresses resilient and secure networks for critical infrastructures. His recent publications demonstrate expertise in creating AI-driven solutions for spectrum defragmentation, programmable filterless optical network design, and impairment-aware resource allocation in multi-band environments. These works highlight his contributions to WDM Metro Network Optimization , Network Digital Twins , and Transport API Integration . Research Highlights Developing DeepDefrag - a reinforcement learning framework for spectrum defragmentation Advancing Filterless Optical Networks architecture Implementing AI-based Network Control via digital twins Addressing Joint Fragmentation and QoT Challenges

• Optical Networks
• Network Resource Allocation
• Deep Reinforcement Learning
• +2 more

Luís Gonçalo Lecoq Vences e Costa Cancela is an Associate Professor at ISCTE-IUL (Higher Institute of Labor and Business Sciences), where he is affiliated with the Department of Information Science and Technology (ISTA). He is also an Integrated Researcher at the Institute of Telecommunications - IUL, contributing to the Optical Communications and Photonics Group. His academic roles include past leadership as Deputy Director of both the Department and the Institute, and active participation in scientific and pedagogical committees. PhD in Information Sciences and Technologies, ISCTE-IUL (2008) Master’s in Electrical and Computer Engineering, Higher Technical Institute - UTL (1998) Bachelor’s in Electrical and Computer Engineering, Higher Technical Institute - UTL (1993) His research centers on optical communications, particularly the modeling and mitigation of physical layer impairments in optical networks. He investigates crosstalk, coherent multipath interference (MPI), and the performance of differential phase-shift keying (DPSK, DQPSK) systems. His work supports the design and optimization of reconfigurable optical add-drop multiplexers (ROADMs) and multi-band (C+L+S) optical networks, with a strong emphasis on impairment-aware planning and signal quality assessment. His recent publications focus on advanced modeling techniques such as Gaussian noise models and skew-normal distributions to evaluate transmission reach and signal degradation. He explores algorithmic solutions like graph coloring and tabu search for wavelength assignment and analyzes the cost, power, and performance tradeoffs in next-generation ROADM architectures. His work is frequently published in journals like Optical Fiber Technology and presented at major conferences including ICTON and IEEE Photonics Conference. Scientific Awards: No specific awards mentioned in the provided text. He has advised students and contributed to academic management, including serving as ECTS Coordinator. He collaborates extensively with researchers such as J. Pires and J. Rebola. His email is affiliated with ISCTE-IUL. There is no indication of part-time status, retirement, or former staff status.

• Optical Communications
• Photonics
• Optical Networks
• +7 more

Dr. Avishek Nag is an Assistant Professor in the School of Computer Science at University College Dublin, Ireland. His work focuses on network optimization, quantum communication, machine learning, and 6G technologies. He holds a PhD from the University of California, Davis, and has over 100 publications in journals, conferences, and book chapters. Education: B.E. (Honours) in Computer Science from Jadavpur University (2005) M.Tech. from Indian Institute of Technology Kharagpur (2007) Ph.D. in Computer Science from University of California, Davis (2012) Research Interests: Quantum Networks & Key Distribution (QKD) 6G Networks & Explainable AI IoT Security & Edge Computing Optical Network Optimization Machine Learning for Biometrics & Healthcare Recent Publications: Recent work includes hybrid noise modeling for quantum satellite communication, XAI-driven network slicing for 6G, and ECG-based biometric systems. His research bridges theoretical advancements with practical implementations in telecommunications and cybersecurity. Awards: 2008 IEEE Advanced Networks Best Paper Award Grants & Leadership: Outreach Lead for IEEE UK & Ireland Blockchain Group Coordinated Cross-Atlantic EU-US testbed experiments Teaching: Teaches Distributed Systems, Wireless Communications, and Software Engineering at UCD.

• Network Optimization
• Quantum Communication
• Machine Learning
• +6 more

Professor Liang Jiang is a faculty member at the University of Chicago's Pritzker School of Molecular Engineering, specializing in theoretical quantum systems. He leads the Jiang Group, focusing on quantum communication, computing, sensing, and error correction. His work emphasizes protecting quantum information via advanced control techniques and error correction to enable robust quantum processing. Education: BS from Caltech (2004), PhD from Harvard (2009), Sherman Fairchild Postdoc at Caltech. Previously held roles at Yale University before joining UChicago in 2019. Awards include Alfred P. Sloan and Packard Fellowships. Research spans modular quantum computation, global networks, and nano-scale sensors. Key areas of study include quantum control protocols, error correction mechanisms, and applications in sensing/simulation. Group members include graduate/postdoc researchers like Gideon Lee, Senrui Chen, and Junyu Liu. Active in patent development (e.g., quantum error correction patents from 2016–2020). Labs/Teams: Jiang Group actively recruits students/postdocs, emphasizing interdisciplinary research at the intersection of quantum theory and applied physics. Collaborates on hardware-software integration for scalable quantum systems.

• Quantum Computing
• Quantum Communication
• Quantum Sensing
• +3 more

Professor Luke Wilson is a Professor of Semiconductor Physics at the University of Sheffield's School of Mathematical and Physical Sciences. He leads a research team focused on quantum nano-photonic devices with on-chip electrical control, contributing to quantum technology applications. His work has resulted in over 110 publications in top journals and £16.5 million in grants, including £5.6 million as work package leader in an EPSRC Programme Grant (2016-21). Notable achievements include pioneering on-chip electrical control of single-photon nonlinearities and novel single-photon sources. Research interests center on semiconductor nanostructures, quantum optics, and quantum photonics, with applications in quantum computing and communication. His team collaborates globally and has made breakthroughs in carrier relaxation mechanisms and chiral photonic systems. Teaching includes advanced modules in semiconductor physics, quantum information, and solid-state physics, with leadership in developing a UK-first undergraduate quantum optics laboratory. Professional roles include Head of Department (since 2022), University Senate member, and external examiner at Surrey University. He has organized major outreach initiatives like the Royal Society Summer Science exhibit and a YouTube channel with over 100,000 views. His work bridges academia and industry, with consultancy for Jaguar Land Rover and Intense Photonics.

• Semiconductor Physics
• Quantum Optics
• Nano-Photonics
• +3 more

Khaled Abdel Harfoush is an Associate Professor at North Carolina State University, affiliated with the College of Engineering and Department of Computer Science. He holds a Ph.D. in Computer Science from Boston University (2002) and earned his M.Sc. and B.Sc. from Alexandria University, Egypt. Education: Ph.D. (2002), M.Sc. (1995), B.Sc. (1992) in Computer Science His research spans computer networking, internet measurements, peer-to-peer systems, and routing protocols, with significant contributions to network security and quantum key distribution. His work addresses censorship resistance, blockchain infrastructure, vehicular network reliability, and wireless sensing. Recent publications analyze censorship techniques, decentralized network vulnerabilities, and protocol optimizations. He received the prestigious National Science Foundation Faculty Early CAREER Award (2004) and Best Paper Award (2006) for his work in virtualization and grid management. Scientific Awards: National Science Foundation Faculty Early CAREER Award (2004) Best Paper Award, IFIP/IEEE International Workshop on End-to-End Virtualization and Grid Management (2006) He has secured multiple grants including Fulbright Junior Faculty Development Program funding (2022) and research grants from NCSU Institute for Next Generation IT Systems for WLAN security and congestion control projects.

• Computer Networking
• Internet Measurements
• Peer-to-Peer Systems
• +7 more

Michel Morvan is a Researcher at the Optical Department of IMT Atlantique (Brest campus). His work focuses on advanced optical communication systems, network design, and machine learning applications for signal processing in photonics. Research Interests: Elastic optical networks, wavelength division multiplexing (WDM), fiber nonlinearity compensation, machine learning for telecommunications, energy-efficient data center interconnects, and microwave photonic filters. Key Contributions: Developments in multi-core fiber amplifiers, spectrum aggregation for heterogeneous traffic, and latency reduction in optical packet switching. Emerging Trends: Recent publications address real-time resource allocation in flexgrid networks, polarization-insensitive optical filtering, and economic impacts of advanced optical technologies.

• Optical Communication
• Telecommunications
• Machine Learning in Signal Processing
• +3 more

Makoto Tsubokawa is a Professor at the Faculty of Science and Engineering and Graduate School of Information, Production and Systems at Waseda University . His career spans multiple institutions, including a visiting scholar position at the University of California, Davis (2023-2024) and prior roles at NTT Labs and NTT-East Corp. Research Interests : Optical fiber sensors and polarization-maintaining fibers Fiber optic measurement techniques and mode coupling analysis Photonic network reliability and security in WDM/TDM systems Nanoscale optical devices and metasurface structures His work has focused on enhancing optical signal transmission, suppression of fiber fuse propagation, and innovative designs for photonic nanojets, bowtie core capillaries, and ultra-thin photodiodes. His recent publications (2023-2025) emphasize directional scattering for absorption enhancement, bidirectional nanoparticle transport, and MIMO-based network protection schemes. Education : Ph.D. in Engineering, Hokkaido University (1984) Master’s in Applied Physics, Hokkaido University (1982) B.Sc. in Applied Physics, Hokkaido University (1981) Professional Memberships : OSA (The Optical Society) IEEE (Institute of Electrical and Electronics Engineers) IEICE (Institute of Electronics, Information and Communication Engineers)

• Communication and network engineering
• Measurement engineering
• Electron device and electronic equipment
• +3 more

Lu Ruan is an Adjunct Associate Professor at Azusa Pacific University's Department of Computer Science. Her work focuses on Internet structure, interdomain routing, and network survivability. She holds a Ph.D. and M.S. in Computer Science from the University of Minnesota-Twin Cities (2001 and 1999) and a B.E. from Tsinghua University (1996). Her research explores network efficiency, peering ecosystems, and survivable optical systems. Notable contributions include machine learning approaches for AS graph analysis and dynamic routing protocols. She received the NSF CAREER Award and serves as a Senior Member of IEEE. Education: Ph.D., Computer Science, University of Minnesota-Twin Cities, 2001 M.S., Computer Science, University of Minnesota-Twin Cities, 1999 B.E., Computer Science, Tsinghua University, Beijing, China, 1996 Dr. Ruan has contributed to major conferences like ICCCN, where she co-chaired the Optical and Backbone Networks track in 2010. Her publications span topics from WDM network protection schemes to machine learning-driven network inference. Current work emphasizes resilient optical infrastructure and interdomain routing optimization. Awards: NSF CAREER Award Senior Member of IEEE Her research portfolio includes grants focused on survivable multipath routing and spectrum allocation strategies in optical networks. Collaborations involve designing efficient p-cycle protection mechanisms and hybrid wireless-optical architectures.

• Computer Networks
• Internet Structure
• Interdomain Routing
• +3 more

Prof. Turhan TUNALI is a distinguished Professor in the Department of Computer Engineering at Izmir University of Economics' Faculty of Engineering. With a Ph.D. in Nonlinear Control Systems from Washington University in Saint Louis (1985), his academic career spans over three decades since beginning as an Assistant Professor at Ege University in 1986. Ph.D. - Nonlinear Control Systems, Washington University in Saint Louis (1985) M.S. - Applied Statistics, Ege University (1980) B.S. - Electrical Engineering, Middle East Technical University (1978) Professor TUNALI's research focuses primarily on computer networks, with specialized expertise in video streaming systems, optical networks, and intelligent transportation systems. His work bridges theoretical networking principles with practical implementations in multimedia delivery and transportation applications. He has made significant contributions to peer-to-peer video streaming architectures, bandwidth adaptation algorithms, and optical network resilience strategies. His research demonstrates a consistent trajectory from foundational network protocols to advanced multimedia delivery systems. Analysis of his 15 most recent publications reveals a strong concentration in networked multimedia systems, particularly peer-to-peer video streaming technologies and optical network architectures. His work shows evolution from basic streaming protocols to sophisticated hierarchical clustering frameworks, backup strategies for resilient networks, and security implementations for scalable video coding. The publications span high-impact journals including IEEE Access, Signal Processing: Image Communication, and Computer Standards and Interfaces. Professor TUNALI has served as Editor for the Turkish Journal of Electrical Engineering and Computer Sciences (2015-2016) and has contributed to TÜBİTAK projects. His research has been supported by various funding mechanisms, though specific grants are not detailed in the provided information. He has supervised an impressive 20 graduate students to completion, including 11 PhD candidates and 9 master's students, primarily at Ege University. His advisees have pursued research in areas including video streaming, optical networks, intelligent transportation systems, and healthcare information systems, reflecting his broad research influence. Professor TUNALI maintains an active research laboratory focused on networked multimedia systems, with particular emphasis on resilient video delivery architectures and intelligent transportation applications. His current work appears to be investigating advanced optical networking strategies and next-generation video streaming technologies.

• Computer Networks
• Video Streaming
• Multimedia Systems
• +4 more