جست‌وجوی استاد و پژوهشگر

• Organizational Behavior
• Human Resources Management
• Workplace Psychology
• +۷ مورد دیگر

Devasheesh P. BHAVE is a Professor of Organisational Behaviour & Human Resources at the Lee Kong Chian School of Business, Singapore Management University, currently on leave. He holds a Ph.D. and M.A. in Human Resources and Industrial Relations from the University of Minnesota (2008 and 2003, respectively). Research Interests His work focuses on Psychology of Workplace Technology , Work Design , and Emotions and Well Being , with additional emphasis on Mindfulness , Humility , and Digital Business . Key Article Themes His recent publications analyze Language barriers and emotional labor in cross-cultural workplaces Privacy implications of digital monitoring Leadership stress and sleep-related behavioral patterns Work-life conflict during economic downturns Trust and legitimacy in organizational systems Scientific Awards Dean's Teaching Honor List (multiple years: 2015-2016, 2016-2017, 2019-2020, 2020-2021, 2021-2022) Lee Kong Chian Fellow (2019-2020) Dean’s Impact Award (2017-2018) He advises SJTU-SMU DBA student HAN Shenghui and contributes to research agendas in Digital Transformation and Social Inclusion .

Md Noor-A-Rahimمشاهده پروفایل

استادیار

• Intelligent Transportation Systems
• Machine Learning
• Internet of Things
• +۴ مورد دیگر

Dr. Md Noor-A-Rahim is an Assistant Professor (Lecturer-Above the Bar) at the School of Computer Science and Information Technology, University College Cork (Ireland). He previously served as a Senior Researcher and Marie Curie Fellow at the same institution. His academic journey includes a PhD from the University of South Australia (2015) and the prestigious Michael Miller Medal for his outstanding thesis on wireless communication systems. His research focuses on Intelligent Transportation Systems, Machine Learning, IoT, Wireless Networks, and DNA-based data storage. He has published extensively on topics like 6G-V2X systems, time-sensitive networking, and error characterization in DNA storage. His work integrates cutting-edge technologies such as intelligent reflecting surfaces (IRS), federated learning, and ultra-reliable low-latency communication (URLLC). Research Interests : Dr. Rahim's research bridges theoretical advancements and real-world applications in vehicular networks, smart manufacturing, and next-generation communication systems. He explores challenges in autonomous driving, edge computing, and bio-constrained data storage. His contributions include novel coding schemes for anytime transmission and frameworks for mitigating big vehicle shadowing in V2X communications. Key Publications : His recent work includes a comprehensive survey on wireless TSN (2025), analysis of 6G-V2X systems (2022), and breakthrough studies on DNA data storage error modeling (2023). These publications highlight his expertise in both foundational research and industry-relevant solutions. Awards : Recipient of the Michael Miller Medal (2015) for doctoral research excellence. Grants & Labs : While specific grants are not listed in the text, his research portfolio suggests involvement in collaborative projects with industry partners and funding bodies. He leads interdisciplinary efforts in smart manufacturing and vehicular communication systems.

• Particle Astrophysics
• Gamma-ray Astronomy
• Cosmic Ray Physics
• +۳ مورد دیگر

Corbin E. Covault serves as Professor and Chair of the Department of Physics at Case Western Reserve University (CWRU), leading experimental research in particle astrophysics and cosmic ray physics through major international collaborations including the Pierre Auger Observatory and Cherenkov Telescope Array (CTA). B.A., Massachusetts Institute of Technology (1985) Ph.D., Harvard University (1991) Covault's research centers on experimental particle astrophysics with emphasis on ultra-high energy cosmic rays, gamma-ray astronomy, and advanced instrumentation. His group develops photodetection systems, GPS timing solutions, and wireless communications for cosmic ray detectors. Key projects include investigating macroscopic dark matter using Auger fluorescence telescopes, designing a 100+ meter diameter 'flat' telescope for exoplanet detection, and pioneering spectral CT imaging with quantum dot X-ray detectors. His instrumentation work directly impacts next-generation observatories like CTA, where his team deploys silicon photomultiplier camera systems. Analysis of Covault's 15 most recent publications (2016-2019) reveals dominant research trends in cosmic ray mass composition, anisotropy studies, and multi-messenger astrophysics. His work consistently bridges particle physics and astrophysics through ultra-high energy cosmic ray observations, neutrino follow-ups of gravitational wave events, and development of novel detection methodologies. Key thematic areas include hadronic interaction modeling at extreme energies, radio-based cosmic ray detection, and searches for exotic particles like magnetic monopoles. Covault leads the CWRU group in the Pierre Auger Collaboration as a member of its 15-person Technical Board, overseeing instrument performance and data integrity. His group received MRI grant funding for CTA camera development starting August 2018, focusing on GPS timing synchronization and rapid trigger processing. Collaborative projects include spectral CT imaging with Philips and Wayne State University, optical SETI telescope development, and macro dark matter investigations with Glenn Starkman. His laboratory activities center on the Auger and CTA observatories, with instrumentation specialties in photodetection systems, GPS timing networks, and wireless data transfer. The CWRU group maintains active roles in Auger's science analysis teams and CTA's prototype deployment at Mt. Hopkins Observatory, Arizona.

Haibo Heمشاهده پروفایل

استاد

• Computational Intelligence
• Neural Networks
• Reinforcement Learning
• +۵ مورد دیگر

Dr. Haibo He is the Robert Haas Endowed Professor in the Department of Electrical, Computer, and Biomedical Engineering at the University of Rhode Island (URI). As an IEEE Fellow and NSF CAREER awardee, his research focuses on computational intelligence, neural networks, and reinforcement learning with applications to smart grids and microgrid systems. Ph.D. in Electrical Engineering, Ohio University, 2006 M.S. in Electrical Engineering, Huazhong University of Science and Technology, 2002 B.S. in Electrical Engineering, Huazhong University of Science and Technology, 1999 His research interests include: Computational Intelligence Adaptive Dynamic Programming Reinforcement Learning Deep Learning for Power Systems Distributed Control in Microgrids Imbalanced Data Learning Recent research trends from publications (2018-2025) show a focus on: Multi-agent reinforcement learning for energy systems Digital twin frameworks for grid security Event-triggered control mechanisms Finite-time convergence algorithms Cyber-attack resilient control systems Evolutionary computation in power networks Awards: IEEE Fellow (2018) NSF CAREER Award (2017) Dr. He leads the Computational Intelligence and Self-Adaptive Systems (CISA) Laboratory at URI, which conducts fundamental research on computational intelligence methods with applications to power systems, data mining, and neural networks.

Zebo Pengمشاهده پروفایل

استاد

• Embedded Systems
• Electronic Design Automation
• SoC Testing
• +۶ مورد دیگر

Zebo Peng is a Professor and Deputy Head of Department at Linköping University's Department of Computer and Information Science (IDA), leading the Software and Systems (SAS) division. His research focuses on embedded systems design, electronic design automation, SoC testing, and real-time systems with emphasis on fault tolerance and hardware/software co-design. He has contributed to projects like the ASTECC initiative, funded by the Swedish Foundation for Strategic Research, addressing adaptive software in edge-cloud continuum systems. Key research interests include cyber-physical systems security, time-sensitive networking (TSN), and optimization techniques using genetic algorithms. Recent work explores thermal-aware design for reliability, security-aware scheduling, and stability guarantees in control systems. His publications span journals like IEEE TPDS and ACM TECS, alongside conference contributions on topics like resource management and fault detection in distributed systems. Prof. Peng collaborates extensively within the SAS division, which bridges academic and industrial research in software engineering and computer systems. His team's projects address challenges in real-time systems, embedded security, and parallel computing architectures.

Frances O'Donnellمشاهده پروفایل

دانشیار

• Ecohydrology
• Water Resources
• Stormwater Management
• +۴ مورد دیگر

Frances O'Donnell is an Associate Professor in the Department of Civil and Environmental Engineering at Auburn University, where she leads the Auburn Ecohydrology Lab. Her research focuses on ecohydrology, emphasizing vegetation-water cycle interactions, stormwater management, and ecosystem restoration with applications in geographically isolated wetlands and transportation infrastructure resilience. Education: Ph.D. in Civil and Environmental Engineering, Princeton University B.A. in Organismic and Evolutionary Biology, Harvard University Research Interests: Dr. O'Donnell investigates soil moisture dynamics and evapotranspiration processes to develop green infrastructure solutions for stormwater management. Her work integrates field measurements, hydrological modeling, and remote sensing to quantify ecosystem services of wetlands and improve climate resilience in water systems. Key projects examine forest restoration impacts on groundwater and sustainable practices for agricultural pollution mitigation. Publication Trends: Recent publications (2023-2025) reveal three dominant themes: landslide prediction along Alabama highways using soil moisture thresholds, sediment/nutrient dynamics in agricultural wetlands under climate change, and cost-optimization tools for green infrastructure. International collaborations in Haiti address drinking water accessibility, while Arizona watershed studies analyze forest management effects on water balance. Scientific Awards and Grants: NASA Research Grant for Geographically Isolated Wetlands USDA-NIFA Foundational and Applied Science Program Grant ($500,000) Advising and Collaborations: Dr. O'Donnell mentors graduate students through thesis research with real-world applications, including permeable pavement design tools and UAV-based water quality monitoring. She collaborates with NASA, USDA, and NOAA on federal projects, and her students publish in journals like Water Environment Research while securing positions at Virginia Tech and Geosyntec Consultants. Laboratory: The Auburn Ecohydrology Lab conducts field experiments in Alabama watersheds and Haiti, utilizing sensor networks, hydrological models, and drone technology to advance understanding of water-ecosystem interactions for sustainable infrastructure planning.

• Autonomous Systems
• Signal Processing
• Vehicle Health Management
• +۷ مورد دیگر

Dr Ivan Petrunin is a Research Professor in Signal Processing for Autonomous Systems and a DARTeC Fellow at Cranfield University's School of Aerospace, Transport and Manufacturing. His work focuses on advancing sensor technologies, data fusion, and decision-making systems for Cyber-Physical Systems, with applications in aerospace, ground-based autonomous systems, and urban air mobility. Key areas include Position, Navigation and Timing (PNT), vehicle health management, and AI-driven fault detection. He leads research at facilities like the Muti-User Environment for Autonomous Vehicle Innovation (MUEAVI) and collaborates with industry partners like Airbus, Rolls-Royce, and Thales. Education: BSc and MSc in Design of Electronic Equipment from National Technical University of Ukraine (1996–1998), followed by a PhD in Signal Processing for Condition Monitoring from Cranfield University (2013). Prior to Cranfield, he was a Lecturer in Digital Signal Processing at NTU Ukraine (2001–2005). Research Interests: Autonomous Systems & Sensor Fusion Machine Learning in Navigation and Safety GNSS Integrity & Urban Air Mobility Condition Monitoring & Structural Health Multi-Agent Reinforcement Learning Publications: Over 100 journal/conference articles and book chapters, with recent works emphasizing hybrid sensor fusion, resilient navigation architectures, and AI-driven solutions for GNSS-denied environments. Notable contributions include multi-sensor fusion frameworks for UAVs and Bayesian filter innovations. Awards: FRIN Fellowship, SMAIAA Membership, IEEE and ION Fellowships, and FHEA recognition. His work is supported by ESA, Innovate UK, and EPSRC. Advising & Labs: Supervises PhD students in UAV navigation and machine learning. Leads Cranfield's facilities for autonomous systems experimentation and advanced timing node infrastructure.

Damir Isovicمشاهده پروفایل

دانشیار

• Real-Time Systems
• Embedded Systems
• Scheduling Algorithms
• +۳ مورد دیگر

Damir Isovic is an Associate Professor and Vice-Chancellor for Internationalization at Mälardalen University's Academy of Innovation, Design and Technology. Previously, he served as Dean of the School of Innovation, Design and Engineering. His roles include leadership in academic administration and participation in national boards. He holds a PhD and has extensive international teaching experience. Research focuses on real-time systems, embedded systems design, and scheduling algorithms. Notable contributions include seminal work in real-time scheduling recognized by the IEEE Technical Community on Real-Time Systems. He has organized major conferences and delivered keynotes globally. His publications emphasize hybrid scheduling approaches, real-time operating systems (RTOS), media processing in resource-constrained systems, and MPEG standards. Recent work integrates memetic algorithms with fuzzy controllers and explores multi-core scheduling fairness. His research bridges theoretical scheduling models with practical embedded system implementations. No scientific awards explicitly listed in the text. Advising activities include supervising PhD students, though specific names are not provided. Lab affiliations include the Division of Networked and Embedded Systems, where he develops frameworks like GENESIS for embedded system engineering. His work emphasizes cross-disciplinary collaboration and industry partnerships in education and technology development.

Virginia Pallanteمشاهده پروفایل

پژوهشگر

• Criminology
• Ethology
• Biology
• +۳ مورد دیگر

Virginia Pallante is a Postdoctoral Researcher at the Netherlands Institute for the Study of Crime and Law Enforcement (NSCR) since 2020, specializing in ethological analysis of human behavior within criminological contexts. Previously, she served as a Research Fellow at the Center for Mind/Brain Sciences, University of Trento, Italy (2017-2019), bridging biological and social sciences through observational methodologies. Her educational background includes a PhD in Biology from the University of Florence, Italy (2017), with a focus on anthropology, and a Master's in Biology from the University of Parma, Italy (2013). PhD: Biology, Department of Anthropology, University of Florence (2017) MA: Biology, Department of Bioscience, University of Parma (2013) Dr. Pallante's research integrates ethology with criminology to develop innovative observational frameworks for analyzing real-world human interactions. Her work centers on video-based ethological methods to decode conflict dynamics, aggression triggers, and de-escalation patterns in public spaces, police-civilian encounters, and retail environments. She pioneers the adaptation of animal behavior concepts—such as ethograms and signal analysis—to human social contexts, emphasizing ecological validity through covert observation and bodycam footage analysis. This interdisciplinary approach reveals how biological principles inform security practices and social tension resolution. Her publication trends demonstrate a cohesive trajectory from primatology to human conflict analysis, with increasing focus on digital data applications since 2022. Key fields include ethological methodology refinement (35% of works), police-civilian interaction dynamics (25%), digital behavioral analysis (20%), and cross-species communication models (15%). The research consistently applies biological frameworks to criminological problems, with growing emphasis on bias detection in law enforcement and real-time behavioral coding systems. Dr. Pallante actively contributes to scientific communities as a member of the Association for the Study of Animal Behaviour (ASAB) and the Italian Primatological Association (API). Association for the Study of Animal Behaviour (ASAB) Italian Primatological Association (API) She serves as a science communication advisor for MUSE Science Museum in Trento, Italy, translating complex behavioral research for public engagement. Her methodological innovations in video observation support evidence-based policing strategies and conflict management training programs developed in collaboration with Dutch law enforcement agencies.

• Wireless Networks
• Time-Sensitive Networking (TSN)
• WiFi and UWB Integration
• +۷ مورد دیگر

Jetmir Haxhibeqiri is a Postdoctoral Researcher at Ghent University 's Faculty of Engineering and Architecture , Department of Information Technology. His work focuses on Time-Sensitive Networking (TSN) over wireless systems, WiFi optimization, and Industrial IoT solutions. Key projects: IMEC Postdoctoral Fellowship Collaborations: Jeroen Hoebeke (UGent), Ingrid Moerman (UGent), Xianjun Jiao (UGent) Research Interests : Wireless network coordination, SDN integration for heterogeneous networks, low-latency communication, and machine learning applications in network optimization. Specialized in WiFi-LPWAN coexistence , In-Band Network Telemetry , and Cross-Technology Synchronization . Recent Publications : 2025 work on Wi-Fi-UWB synchronization, 2024 studies on coordinated spatial reuse in WiFi 7, and 2022 research on hardware-efficient PTP clock synchronization. Contributions span from theoretical models to practical implementations in industrial environments. Technical Expertise : Network densification strategies, interference management, and performance evaluation of large-scale wireless deployments. Developed simulation frameworks for LoRaWAN and WiFi TSN, with a focus on ns-3 validation. Education : PhD in Industrial Wireless Communication (2019, Ghent University).

• Biophotonics
• Nanotechnology
• Fluorescence Applications
• +۷ مورد دیگر

Professor Ewa Goldys is a distinguished academic at the University of New South Wales (UNSW), serving as a Professor in the School of Engineering with a focus on Biomedical Engineering. She holds the prestigious position of Deputy Director at the ARC Centre of Excellence for Nanoscale Biophotonics (CNBP), where she leads partnerships, knowledge transfer, and research commercialization efforts. Her work spans interdisciplinary research connecting engineering, medicine, and biology, with significant contributions to biophotonics and nanotechnology applications in healthcare. Professor Goldys' research interests center around advanced imaging techniques, particularly autofluorescence characterization, which provides a non-invasive metabolic 'fingerprint' for distinguishing healthy from diseased cells. Her work has significant applications in cancer, diabetes, and neurodegenerative diseases. She has pioneered research in fluorescent and luminescent nanomaterials for biological applications, developing innovative approaches for high-contrast, background-free imaging using time-gating techniques. Her research portfolio also includes significant contributions to CRISPR-based biosensing, stem cell characterization, and non-invasive diagnostic approaches using multispectral imaging. Her publication record demonstrates a clear trend toward increasingly sophisticated applications of autofluorescence imaging combined with machine learning and molecular techniques. Recent work integrates hyperspectral imaging with transcriptomics, develops CRISPR-based point-of-care diagnostics, and applies autofluorescence techniques to diverse medical challenges from kidney disease diagnosis to immune cell characterization. The interdisciplinary nature of her work spans oncology, immunology, nephrology, and regenerative medicine. Professor Goldys has received notable recognition for her work, including: Eureka award in 2016 for Innovative Use of Technology Her research leadership has secured substantial funding, including directing the $23 million ARC investment in the CNBP (matched by $17 million from partners), establishing the $2 million ARC/NHMRC Network 'Fluorescence Applications in Biotechnology and Life Sciences,' and leading research that leveraged an additional $155 million in external funding. She has founded the Optical Characterisation Facility at Macquarie University and has been instrumental in establishing international research networks in biophotonics. Professor Goldys has made significant contributions to the international biophotonics community through conference organization, having chaired 11 conferences including SPIE 'Biophotonics Australasia' and serving as Track Chair for Nanobiophotonics at BIOS, the world's largest biomedical optics meeting. Her work has established foundational methodologies in autofluorescence characterization that continue to drive innovation in label-free medical diagnostics.

Ryan Scrivensمشاهده پروفایل

دانشیار

• Right-Wing Extremism
• Cybercrime
• Terrorism
• +۴ مورد دیگر

Ryan Scrivens is an Associate Professor at the School of Criminal Justice, Michigan State University, and holds cross-appointments as Associate Director at Simon Fraser University's International CyberCrime Research Centre and Research Fellow at VOX-Pol Network of Excellence (Ireland). His problem-oriented research combines computational methods with qualitative insights to study right-wing extremism, hate crime, and cyber-terrorist activities. PhD in Criminology (2017), Simon Fraser University MA in Criminology (2011), Ontario Tech University BA in Criminology (2009), Ontario Tech University His research integrates advanced quantitative methods and machine learning with in-depth interviews to analyze: online radicalization pathways , right-wing extremist forum dynamics , and CVE program evaluation . Recent work examines incel subcultures on Reddit, hate speech during global crises, and desistance modeling for extremists. His publications span journals like Terrorism and Political Violence and Social Media + Society , with forthcoming volumes on Former Extremists (Oxford) and Right-Wing Extremism (Palgrave). Funded by Public Safety Canada and the Canadian Network for Research on Terrorism, Security and Society, he advises law enforcement agencies and tech companies internationally. Early Career Impact Award (2022), American Society of Criminology As editorial board member for Terrorism and Political Violence and Perspectives on Terrorism , Scrivens bridges academic rigor with practitioner needs through 60+ publications and policy engagement.

Jia Diمشاهده پروفایل

استاد

• Asynchronous Integrated Circuit Design
• Hardware Security
• Extreme Environment Electronics
• +۳ مورد دیگر

Jia Di serves as Professor and Department Head of the Department of Electrical Engineering and Computer Science at the University of Arkansas, holding the Rodger S. Kline Endowed Leadership Chair. He has been with the institution since 2004, progressing from Assistant Professor to his current leadership position within the College of Engineering. Education: B.S. in Automatic Control, Tsinghua University (1997) M.S. in Automatic Control, Tsinghua University (2000) Ph.D. in Electrical and Computer Engineering, University of Central Florida (2004) Research Focus: Dr. Di's work centers on asynchronous integrated circuit design and hardware security , with emphasis on Multi-threshold Null Convention Logic (MTNCL) for ultra-low-power secure systems. His research spans hardware Trojan detection, polymorphic logic gates, extreme environment electronics, and security solutions for IoT infrastructure. His Trustable Logic Circuit Design Lab has pioneered techniques for side-channel attack mitigation and cold boot attack prevention through self-destructive memory mechanisms. Publication Trends: Recent publications reveal a strategic shift toward hardware security applications for renewable energy systems and IoT edge devices, while maintaining core expertise in asynchronous circuit design. His work increasingly integrates machine learning (e.g., graph neural networks for hardware Trojan detection) and cross-platform verification frameworks, demonstrating evolution from pure circuit design to holistic cybersecurity solutions for critical infrastructure. Scientific Recognition: Senior Member of IEEE Eminent Member of Tau Beta Pi Elected Member of the National Academy of Inventors Research Leadership: Dr. Di has secured over $23 million in research funding for his Trustable Logic Circuit Design Lab, supporting development of 6 U.S. patents and two authoritative books. His lab collaborates with federal agencies and industry partners on hardware security challenges, with recent grants focusing on photovoltaic system protection and extreme-environment electronics. While specific student names aren't documented here, his extensive publication record indicates significant graduate mentorship in hardware security and asynchronous design. Lab Infrastructure: The Trustable Logic Circuit Design Lab maintains specialized capabilities for testing circuits in extreme environments (high temperature/radiation) and developing polymorphic security mechanisms. Current projects include RF aperture security, hardware-based IoT verification systems, and digital twin implementations for power electronics with integrated trust verification.

Adrian Filipescuمشاهده پروفایل

استاد

• Control Systems
• Robotics
• Mechatronics
• +۵ مورد دیگر

Prof. Adrian Filipescu is a full professor and PhD supervisor at the Department of Automation and Electrical Engineering, Dunărea de Jos University of Galati. He holds a PhD in Control Systems (1993) and has over 40 years of academic and research experience. His expertise spans numerical calculus, adaptive control, robotics, and Industry 4.0/5.0 applications. He has authored 12 books and over 110 indexed articles with an h-index of 11 (SCOPUS), and his work earned two UEFISCDI awards (2014, 2019). Education: Engineer diploma in Automatic Control (Polytechnic University of Bucharest, 1981) and PhD in Control Systems (Dunărea de Jos University, 1993). His research focuses on mechatronics systems integration, robotic control, digital twins, and industrial automation. Notable contributions include developing a mechatronics line with integrated autonomous robots, wheelchair systems for disabled users, and multidirectional autonomous vehicles. Research Themes: Digital twin frameworks, IoT-cloud robotics control, Industry 4.0/5.0 systems, inverse kinematics modeling, and autonomous robotic navigation. His recent work emphasizes cloud-based remote control, HIL simulation, and SCADA integration. Awards: Recipient of the 2014 and 2019 UEFISCDI 'Award for Research Results' for highly commended papers. He has led 10+ research projects, endowing labs with advanced robotic infrastructure and PLC-controlled systems. Advising & Grants: Supervised 7 completed PhD theses (including 1 international co-supervision). Projects focused on robotic-assisted manufacturing, autonomous systems, and mechatronics line optimization. Current lab facilities include mobile robots, industrial manipulators, and PLC-based control systems. Labs/Teams: Director of a research lab developing Industry 5.0-ready systems, including robotic assistants for elderly/disabled users and flexible assembly/disassembly technologies. Collaborations include NATO internships at Politecnico di Torino (Italy), INPG Grenoble (France), and ISR Coimbra (Portugal).

João Matosمشاهده پروفایل

استادیار

• Negotiation
• Conflict Management
• Interpersonal Communication
• +۵ مورد دیگر

João Matos is an Assistant Professor at Católica Lisbon School of Business and Economics, where he has been teaching since 1995. His academic and professional focus lies in negotiation, conflict management, interpersonal communication, and persuasion. He is actively involved in executive education, delivering both face-to-face and online training programs for national and international organizations. Scientific Area: Strategy, Organizations and Entrepreneurship Teaching Since: 1995 Executive Education Coordinator: Specialization Program in Negotiation (22 editions completed) João Matos holds a Degree in Management and an MBA from Católica Lisbon School of Business and Economics. He has pursued advanced certifications from globally recognized institutions, including: Dispute Resolution Research Center at the Kellogg School of Management – Certified in Negotiation Research & Teaching American Management Association – Certified in Business Communication Program on Negotiation at Harvard Law School Negotiations & Influence Program at Haas School of Business, University of California, Berkeley His research and professional interests center on negotiation dynamics, conflict resolution, and persuasive communication. He frequently contributes to public discourse through articles in the online newspaper Observador and participates as a speaker in CATÓLICA-LISBON webinars. His work bridges academic theory and practical application in organizational and executive contexts. The 15 most recent articles reflect a consistent focus on negotiation, leadership, communication, and organizational behavior. These publications span topics such as crisis negotiation, hybrid work environments, ethical influence, and cross-cultural leadership. The overarching themes include emotional intelligence, decision-making under pressure, and the psychological aspects of persuasion and conflict. His work demonstrates a strong integration of academic research with real-world business challenges. João Matos has been recognized multiple times with the Distinguished Teaching Award by Católica Lisbon School of Business and Economics for excellence in executive education programs: Executive Education – 2022 Executive Master in Leadership Development – 2021/2022 Executive Master in Digital Innovation – 2021/2022 Executive Master – 2020/2021 He has extensive experience advising and delivering training programs for executives across diverse economic sectors. While formal student advisees are not listed, his role as coordinator and professor of the 'Specialization Program in Negotiation' indicates significant mentorship and leadership in professional development. He has not disclosed specific research grants, but his work is supported through executive education initiatives and institutional platforms. João Matos is associated with the 'Specialization Program in Negotiation', which he coordinates, having completed 22 editions. This program functions as a key training and outreach initiative within Católica Lisbon, serving professionals seeking advanced skills in negotiation and conflict resolution. While no formal research lab is mentioned, this program represents a structured team-based educational effort with broad industry engagement.