جست‌وجوی استاد و پژوهشگر

Mirza Omer Begمشاهده پروفایل

دانشیار

• Natural Language Processing
• Machine Learning
• Green Computing
• +۴ مورد دیگر

Mirza Omer Beg is an Associate Professor in the Department of Computer Science at the National University of Computer and Emerging Sciences (NUCES) in Islamabad, where he leads the Artificial Intelligence and Machine Learning (AIM) Lab. He holds a PhD in Artificial Intelligence from the University of Waterloo and an undergraduate degree in Computer Science from the University of Texas at Austin. His academic roles include serving as the Head of the AIM Lab and contributing to interdisciplinary research initiatives. **Education:** PhD in Artificial Intelligence, University of Waterloo (2007) MS in Computer Science, University of Waterloo (2005) BEng in Computer Science, University of Texas at Austin (2001) **Research Interests:** Green Computing: Optimizing energy efficiency in software and hardware systems, particularly for mobile and embedded devices. Natural Language Processing (NLP): Emotion detection, hate speech identification, and multilingual NLP (e.g., Urdu and Roman Urdu). Compiler Optimization: Instruction scheduling, memory hierarchy optimizations, and clustered architectures. Text Mining: Sentiment analysis, aspect-based opinion mining, and keyphrase extraction. Machine Learning: Applications in healthcare, smart cities, and cybersecurity. **Awards & Recognition:** Third Place in Graduate Student Track of ACM SRC PLDI 2010 for work on instruction scheduling on multicore architectures. **Teaching:** Advanced courses in AI, data science, computer architecture, and programming languages. Recent courses include Text Mining, Natural Language Processing, and MultiAgent Systems. **Labs & Teams:** Leads the AIM Lab focusing on AI-driven solutions for energy efficiency, NLP, and computational linguistics.

Edward Martins Gonsalvesمشاهده پروفایل

مدرس

• Marketing
• High Technology Product Development
• RFID Technology
• +۳ مورد دیگر

Edward Martins Gonsalves is a full-time Lecturer in The Business School at Worcester Polytechnic Institute (WPI). He holds a Bachelor’s Degree in Electrical Engineering and a Master’s Degree in Management Science from WPI. With a 35-year career in technology, he has held roles in design, sales, marketing, business development, and management, and holds 9 patents. His expertise includes RFID technology, having presented at industry conferences. For 25 years, he has taught marketing courses at WPI and other New England institutions like Boston College and Babson College. He also serves as a Digital Factory Consultant for McGraw-Hill Higher Education, focusing on simulations and digital content development. Education: B.S. Electrical Engineering (WPI), M.S. Management Science (WPI) His research interests center on marketing and development strategies for high-technology products. He maintains an active consultancy practice in technology marketing and product innovation. While no formal awards are listed, his 9 patents and industry conference contributions highlight his technical and academic impact. His teaching spans undergraduate, graduate, and executive education programs. Collaborations include curriculum development for digital learning platforms. No specific labs or teams are mentioned, though his consultancy work suggests involvement in applied technology projects.

• Signal Processing
• Robotics
• Biomedical Engineering
• +۵ مورد دیگر

Salviano F. S. P. Soares is an Assistant Professor at the Engineering Department within the Science and Technology School at UTAD (Portugal), and a researcher at IEETA – Institute of Electronics and Telematics Engineering, University of Aveiro. His research focuses on signal processing, robotics, biomedical engineering, IoT systems, and their applications in healthcare, education, and agriculture. He has led industry-funded projects with Altice Labs and Sonae, specializing in R&D with FCT grants. His work spans embedded systems design, human-robot collaboration, precision agriculture, and educational robotics. Notable contributions include Arduino-based robotics for STEM education, predictive maintenance systems, and AI-driven human activity recognition. Publications highlight advancements in autonomous systems, medical signal processing (ECG/EMG), and sensor networks. Collaborations include developing tools like the Kid Grígora robot for early computational thinking and the FEROX simulator for industrial human-robot synergy. He also pioneers smart agriculture solutions using LoRaWAN for vineyard monitoring and IoT-based sensor architectures for UAV inspections. His work integrates machine learning with traditional engineering challenges, addressing topics like fault detection in industrial robots, telemedicine systems, and cognitive architectures for elderly care. He actively publishes in IEEE, journals, and international conferences, emphasizing practical applications of theoretical research.

Kasper Rasmussenمشاهده پروفایل

استاد

• Information Security
• Security Protocols
• Embedded Systems Security
• +۵ مورد دیگر

Professor Kasper Rasmussen is a Professor of Information Security in the Department of Computer Science at the University of Oxford. He joined the university in 2013 and holds a PhD from ETH Zurich (2013), with a postdoctoral stint at the University of California, Irvine. His research focuses on analyzing and designing security protocols, particularly in embedded systems and applied domains like Bitcoin, Google's Nearby Connections, and Bluetooth. Key research areas include signal injection attacks, hardware security (e.g., FPGA vulnerabilities), privacy-preserving frameworks, and blockchain security. He has pioneered defenses against electromagnetic interference, laser-based hardware exploits, and cryptographic downgrade attacks. Education: PhD in Computer Science, ETH Zurich (2013) Postdoctoral Researcher, University of California, Irvine Awards: Royal Society University Research Fellowship (2015) Key Contributions: Developed frameworks like Iris for secure P2P networks and Themis for serverless computing Explored vulnerabilities in Bluetooth (e.g., KNOB attack) and sensor systems Advanced biometric authentication (e.g., eye movement, body impedance) Grants/Support: Royal Society Fellowship-funded research on embedded systems security His work bridges theoretical cryptography with practical implementations, addressing challenges in IoT, automotive systems, and critical infrastructure. Current projects include mitigating covert channels in cloud FPGAs and enhancing machine-to-machine communication security.

Oluyomi Simpsonمشاهده پروفایل

مدرس

• 5G/6G Wireless Communication Systems
• Physical Layer Security
• Machine Learning in Communications
• +۶ مورد دیگر

Dr. Oluyomi Simpson is a Principal Lecturer and academic lead of the Communications Lab at the University of Hertfordshire's School of Physics, Engineering & Computer Science. He specializes in wireless communication systems, with a focus on 5G/6G, physical layer security, and machine learning integration. His research also encompasses cognitive radio networks, RFID technologies, and RF energy harvesting. Simpson has over 50 publications and serves as an Associate Editor for IEEE Communications Letters. Education: PhD in Communications and Electronics Engineering from the University of Hertfordshire (2011). Research Interests: His work spans interdisciplinary applications in wireless communication systems, including next-generation multiple access, near-field sensing, and STARS (Simultaneously Transmitting and Reflecting Surfaces). He emphasizes practical industry applications in telecommunications, manufacturing, and healthcare. Projects: Advanced Telematics and RFID Systems for Asset Monitoring in Emergency Medical Services (2025–2027) RFID System for Sample Management (2021–Present) Asset Monitoring via Coaxial Cable Strain Sensing (2025) Grants & Funding: Supported by ERDF, Innovate UK, and the Niger Delta Development Commission (NDDC). Labs & Teams: Leads the Wireless and Mobile Communication Lab, focusing on 6G research and collaborative projects with industry partners.

Tino Zillgerمشاهده پروفایل

استاد

• Smart Textiles
• Functional Printing
• Printed Electronics
• +۳ مورد دیگر

Prof. Dr.-Ing. Tino Zillger is a Professor of Smart Textile Electronics and Dean of Studies for Textile Engineering (B.Eng.) at Reutlingen University's TEXOVERSUM School of Textiles. His expertise spans Smart Textiles, Functional Printing, and Printed/Hybrid Electronics. He leads research in interactive materials, sustainable textile systems, and energy-efficient textile processes. Research focuses include textile-based energy storage (e.g., supercapacitors), printed electronics for biomedical applications (WEARPLEX project), and flexible photovoltaics. Notable projects include InBiO (bio-based automotive interiors) and FLAX365 (regional textile supply chains). His work bridges material science, manufacturing, and sustainable design. Publications emphasize scalable production methods, energy harvesting, and novel material integration. Labs affiliated include the Electronic Textiles Lab and Material Testing Lab. He actively collaborates with industry on innovations like printed sensors and low-cost photovoltaics.

Sanaz Haddadianمشاهده پروفایل

پژوهشگر

• RFID Technology
• Microwave Engineering
• RF Energy Harvesting
• +۲ مورد دیگر

Sanaz Haddadian is a Researcher at the University of Paderborn, affiliated with the Institute for Photonic Quantum Systems (PhoQS) and the System and Circuit Technology group within the Heinz Nixdorf Institut. She holds a Master of Science degree and maintains an active research profile in microwave RFID systems and photonic quantum technologies. Education: Master of Science (M.Sc.) Her research centers on RFID technology at microwave frequencies (5.8 GHz ISM band), specializing in analog front-end design, RF energy harvesting, and MIMO reader compatibility. She investigates sub-threshold circuit operation for energy-efficient tag chips and system-level optimization for industrial applications, while contributing to photonic quantum systems through her PhoQS affiliation. Her work bridges theoretical analysis with practical implementation of compact microwave RFID solutions. Analysis of her 2017-2023 publications reveals consistent innovation in 5.8 GHz RFID systems, with increasing sophistication in energy harvesting techniques and MIMO integration. Her research trajectory demonstrates progression from system analysis (2017-2018) to advanced circuit implementations (2019-2023), emphasizing practical industrial applications and low-power design. Scientific Awards: No scientific awards mentioned in the provided text While no advised students or research grants are documented in the source material, her collaborative publications with C. Scheytt and J.C. Scheytt indicate active participation in research teams. She operates within the Heinz Nixdorf Institut's System and Circuit Technology group and the Institute for Photonic Quantum Systems, focusing on applied research in microwave circuits and quantum photonics.

Steven Keith Plattمشاهده پروفایل

مدرس

• Analytics
• Artificial Intelligence
• Business Strategy
• +۳ مورد دیگر

Steven Keith Platt is an Executive Lecturer and Director of Analytics at Loyola University Chicago's Quinlan School of Business, leading the Lab for Applied Artificial Intelligence and the AI Business Consortium. He holds roles as Loyola Site Director for the Institute for Data, Econometrics, Algorithms, and Learning (IDEAL). His research focuses on analytics and AI applications in business, retail, and healthcare, with expertise in AI ethics, regulatory compliance, and model risk management. Platt teaches courses in applied AI and statistics, emphasizing technology integration into academic curricula. Education: B.S.B.A. in Finance and Marketing, J.D., and LL.M. in Tax from Boston University. He previously served as Research Director at Northwestern University’s Retail Analytics Council, managing AI and robotics initiatives. Platt has consulted major firms like AT&T, Kroger, and Microsoft, and his work has been featured in Bloomberg, MIT Technology Review, and The Wall Street Journal. Leadership roles include organizing high-profile conferences like the AI in Financial Services Industry series and IDEAL workshops on Human-AI ecosystems. He holds three patents related to media content interfaces and co-founded Black Kids Predict, an outreach program for underrepresented students in data science. Awarded a National Science Foundation grant (2024-2026) for applied AI research. Platt’s work bridges academic research with industry applications, addressing regulatory challenges and fostering innovation in AI-driven solutions.

Ralf Seifertمشاهده پروفایل

استاد

• Operations Management
• Supply Chain Strategy
• Supply Chain Finance
• +۵ مورد دیگر

Ralf Seifert is a Full Professor of Technology & Operations Management (TOM) at the College of Management of Technology (CDM) of the Swiss Federal Institute of Technology Lausanne (EPFL) since 2003. He also serves as a Professor of Operations Management at IMD. His research focuses on operations management, supply chain strategy, technology network management, and sustainability. Education: PhD and MS in Management Science, Stanford University Diplom Ingenieur in Mechanical Engineering, Karlsruhe Institute of Technology (KIT) Master's in Integrated Manufacturing Systems Engineering, North Carolina State University Research Areas include supply chain finance, technology entrepreneurship, mass customization, RFID applications, and resilience in logistics. His work bridges quantitative models with industry practice, particularly in omnichannel retail and disruption mitigation. Recent Publications demonstrate expertise in network flow models, inventory optimization, and sustainable operations. Notable journals include European Journal of Operational Research , Production and Operations Management , and Sustainability . Awards: EFMD Case Awards (2018, 2012, 2009, 2003) ECCH Case Awards (2011, 2006) POMS Case Award (2004) Teaching encompasses supply chain management, mathematical models, and technology entrepreneurship. He has advised numerous PhD students and contributed to case study development globally.

• Additive Manufacturing
• 3D Printing
• Bioelectronics
• +۶ مورد دیگر

Eleonora Ferraris serves as a Senior Lecturer and Department Head of Manufacturing Processes and Systems (MaPS) at KU Leuven's Faculty of Industrial Engineering Sciences. She is affiliated with the Department of Mechanical Engineering at Campus De Nayer in Sint-Katelijne-Waver and holds leadership positions as subdivision head of Subdivision 4. Ferraris is an active member of Leuven.AM – KU Leuven Institute for Additive Manufacturing and participates in institutional governance through the Faculty Council of Industrial Engineering Sciences and Departmental Council of Mechanical Engineering. Her research focuses on cutting-edge applications of additive manufacturing, particularly in bioelectronics and tissue engineering. Ferraris specializes in Aerosol Jet Printing technology, exploring its potential for creating bioelectrical interfaces, neural devices, and in vitro platforms. Her work spans multi-material printing, 3D bioprinting of soft tissues, and development of advanced manufacturing techniques for medical applications including nerve regeneration and personalized treatments. She investigates thermal properties of printed materials, optimization of printing processes, and development of novel biomaterials and conductive inks. Analysis of her recent publications reveals a strong emphasis on the intersection of additive manufacturing with biomedical applications. Her work demonstrates increasing sophistication in multi-material printing techniques, particularly for creating functional biological interfaces. A significant portion of her research focuses on Aerosol Jet Printing applications in bioelectronics, neural engineering, and tissue scaffolds. She also investigates fundamental aspects of material behavior during printing processes, including thermal history, multi-scale analyses, and post-processing techniques to enhance printed part performance. FWO Sabbatical Grant (Reference K801525N) Ferraris leads numerous research projects including 'Experimental validation of bond quality in extrusion 3D printing and multi-scale modeling' (2025-2029), '3DNeuroBips: New 3D neural biomimetic interfaces using printing technology' (2024-2029), and 'Development and study of 3D-printed bio-electrical conductors for nerve regeneration' (2023-2028). Her current sabbatical focuses on '3D Printing for Bioelectronics Interfaces and In Vitro Devices' (March-August 2025) at Nanyang Technological University's 3D printing hub in Singapore. She also serves as co-promoter on projects related to electrospinning, multi-phase flow mechanisms in Aerosol Jet printing, and data-driven adaptive 3D printing techniques. As head of Manufacturing Processes and Systems (MaPS) at Campus De Nayer, Ferraris leads a research group focused on advanced manufacturing technologies. Her team works extensively with Aerosol Jet Printing technology, exploring applications from printed electronics to bioelectrical scaffolds for neural tissue engineering. The group collaborates with Leuven.AM – KU Leuven Institute for Additive Manufacturing, providing expertise in multi-material printing, bioprinting, and development of novel manufacturing processes for medical applications. Their facilities include equipment for material extrusion, Aerosol Jet printing, and characterization of printed structures at multiple scales.

• Systemic Design
• Digital Transformation in Public Administration
• Sustainable Architecture
• +۴ مورد دیگر

Riccardo Vicentini is a Lecturer at the Department of Architecture and Design (DAD) within the College of Architecture and Design at Politecnico di Torino. His academic role spans over a decade, including teaching positions in courses like Modeling Design and Scenario Design since the 2019/2020 academic year. Research Focus: Systemic design, digital transformation, RFID technology integration, and sustainable architecture. Awards: Multiple certifications in digital transformation, AI in public administration, and data privacy from the Department for Public Administration (2025). Publications highlight his work in alternative energy design for buildings, RFID applications in healthcare, and systemic approaches to technological innovation. He contributes to MOD Lab Design (DAD), focusing on design theory and practice.

Danilo Erricoloمشاهده پروفایل

استاد

• Electromagnetic Scattering
• Wireless Communications
• Antenna Design
• +۹ مورد دیگر

Professor Danilo Erricolo is affiliated with the University of Illinois at Chicago as a Professor of Electrical and Computer Engineering and Adjunct Professor of Biomedical Engineering . He serves as Director of International Programs and leads the Andrew Electromagnetics Laboratory , focusing on applied electromagnetics, wireless propagation, and antenna design. Ph.D., Electrical Engineering and Computer Science, University of Illinois at Chicago Laurea in Electronics Engineering, Politecnico di Milano His research spans electromagnetic scattering , inverse problems , antenna design , and special functions . He develops high-frequency methods like the Uniform Theory of Diffraction, works on radio frequency tomography for urban and subsurface imaging, and optimizes ultra-high MRI systems through fast field computation techniques. Recent publications highlight advancements in modular EM skins , inverse scattering algorithms , and drone-based measurements . These works intersect electromagnetics , wireless engineering , and computational methods , emphasizing urban sensing and optimization. 2016 IEEE Fellow 2021 Asia-Pacific Artificial Intelligence Association Fellow 2024 Electromagnetics Academy Fellow 2023 USNC-URSI Impact Award Erricolo has held leadership roles including Editor-in-Chief of IEEE Transactions on Antennas and Propagation and chaired multiple IEEE and USNC-URSI committees. His lab fosters innovation in electromagnetic compatibility , antenna systems , and medical imaging technologies .

Andrew P. Norganمشاهده پروفایل

پژوهشگر ارشد

• Clinical Microbiology
• Histopathology
• Infectious Diseases
• +۷ مورد دیگر

Andrew P. Norgan, M.D., Ph.D., is a multidisciplinary researcher at Mayo Clinic's Department of Laboratory Medicine and Pathology. He holds advanced training in anatomic pathology, clinical microbiology, and clinical informatics. Mayo Clinic College of Medicine (MD, Ph.D.) University of Minnesota (BA, BS) His research spans infectious disease diagnostics , digital pathology informatics , and maternal-fetal pathology . Key projects include developing machine learning tools for pathology education and investigating viral impacts on placental biology. Scientific accolades include the Mayo Brothers Distinguished Fellowship Award and multiple travel grants for pathology informatics conferences. He serves on committees for digital pathology innovation and residency recruitment at Mayo Clinic.

• Sustainable innovation
• Open innovation
• Circular economy
• +۶ مورد دیگر

Serena Filippelli is a fixed-term researcher (RTD-A) at the University of Parma , Department of Engineering of Systems and Industrial Technologies (DISTI). She holds a PhD in Industrial Engineering and a professional engineering license. Her work integrates sustainability, innovation management, and digital technologies, with a strong focus on the circular economy and open innovation in the food and fashion sectors. Education PhD in Industrial Engineering, University of Parma (2022) – thesis: “La green purchase intention di smartphone ricondizionati: un’indagine empirica.” MSc in Management Engineering, Politecnico di Milano (2017) BSc in Management Engineering, University of Parma (2015) Scientific high-school diploma, Liceo G. Ulivi, Parma (2012) Research Interests Her research spans sustainable innovation, open innovation, circular economy strategies, green consumer behaviour, and digital transformation of supply chains. She employs bibliometric analyses, case studies and empirical surveys to explore how firms—especially in the food and fashion industries—can leverage digital technologies and collaborative models to achieve environmental and economic goals. Publication Trends Since 2020 she has published extensively on sustainability-driven innovation, consumer acceptance of refurbished and recycled products, the role of AI and RFID in operations, and open innovation patterns in traditional industries. Her output appears in highly ranked journals such as Journal of Cleaner Production , Sustainability , and European Journal of Innovation Management . Scientific Awards & Recognition Guest editor for three special issues in Sustainability and International Journal of Technology Management (2020–2022). Continuous peer-review activity for international journals and conferences since 2018. Invited author for multiple book chapters in Elsevier and Routledge handbooks on sustainable innovation and open innovation. Grants, Projects & Collaborations Member of the Italian National Observatory on Start-ups (Confassociazioni) since 2021. Researcher on the FIL-funded project “Development of a Machine Learning tool for process optimization in the healthcare context” (2019-2022). Principal investigator of short-term research grants at the University of the Republic of San Marino on open innovation and sustainability (2022). Active collaborations with universities of Naples Federico II, Parthenope, Padova, and Pisa. Teaching & Mentoring She currently coordinates the module “Consumer behaviour, branding and advertising” within the BSc “Sustainable Design for the Food System” and has served as teaching assistant and tutor for business and management courses at the University of Parma and at the University of San Marino. She has co-supervised more than fifty BSc and MSc theses on topics ranging from circular economy to open innovation in the food industry.

• Lean Manufacturing
• Supply Chain Management
• Discrete Event Simulation
• +۳ مورد دیگر

Francesco Zammori is an Associate Professor at the Department of Systems Engineering and Industrial Technologies (DISTI) , University of Parma. His career spans academic research, teaching, and industry collaboration, focusing on lean manufacturing, supply chain innovation, and simulation modeling. Scientific High School Diploma, 100/100, Leonardo da Vinci Scientific High School (2000) Bachelor's in Management Engineering (logistics and production), 110/110 cum laude , University of Pisa (2002) Master's in Management Engineering (logistics and production), 110/110 cum laude , University of Pisa (2004) PhD in Mechanical Engineering (plants and technologies), University of Pisa (2009) Zammori's research centers on lean manufacturing , where he develops techniques for identifying inefficiencies using Value Stream Mapping (VSM) and Overall Equipment Effectiveness (OEE). He specializes in Vendor Managed Inventory (VMI) modeling, discrete-event simulation of complex systems with multivariate statistical analysis, and solving NP-hard problems in operations management using mathematical programming and heuristics. His work also explores process mapping with IDEF/BPMN methods and IT system prototyping for transactional data. Recent publications highlight trends in supply chain circularity (2024), automated storage systems (2023), and educational gamification (2023). He applies Monte Carlo simulation , Markov chains , and life cycle analysis to industrial challenges. Scientific Contributions: Editor-in-Chief (European area), Decision Science Letters (Growing Science) Organizer & Chair, IESM2015 special session on 'Lean in Make To Order Firms' Member, AIIE2015 international conference scientific committee Zammori has taught 40+ corporate training modules for Tuscan companies and delivered university courses on ERP systems , business process management , and management information systems across multiple Italian universities since 2005. His funded projects include RFID tracking systems for paper coils and plasma bags, extended enterprise logistics frameworks, and lean process reengineering for manufacturing firms.