Praveen Nellissery serves as Lecturer for the Master's Program in International Project Management at Kalaidos University of Applied Sciences Switzerland since February 2018, concurrently operating as CEO and Senior Consultant at HELVETIX Consulting GmbH where he specializes in payment transaction optimization, ERP automation, and outsourcing solutions for financial institutions. His educational foundation includes a Bachelor's degree in Finance & Banking from Basel University of Applied Sciences (2005-2009) with minors in Human Resource Management, Corporate Treasury & Cash Management, Insurance Management, Applied Finance, Microeconomics of Competitiveness (Harvard Business School), and Intercultural Management, supplemented by 2011 AVALOQ certification covering Money Market, FX instruments, and Settlement systems. Research interests center on the convergence of financial operations and intelligent automation, particularly Robotic Process Automation (RPA) implementation in payment systems (ISO 20022/SWIFT), digital transformation strategies, and ERP-driven process optimization within banking and insurance sectors. His expertise bridges theoretical project management frameworks with practical payment infrastructure modernization. Analysis of his sole documented publication—the 2021 RPA blog post—reveals emphasis on real-world automation adoption in financial services, highlighting trends toward cognitive robotics in transaction processing and future applications for workflow intelligence in cross-border payments. No scientific awards or honors were documented in the available profile information. Professional activities indicate extensive industry consulting rather than academic advising, with no references to student supervision, research grants, or dedicated laboratory facilities. His current work focuses on client engagements for payment system harmonization and digital transformation initiatives across Swiss financial institutions.
جستوجوی استاد و پژوهشگر
استاد راهنما، استاد دانشگاه یا پژوهشگر مناسب برای مسیر پژوهشیتان را پیدا کنید و با او ارتباط بگیرید.
نمایش ۷۶-۹۰ از ۱۰۱ استاد راهنما
اطلاعات این پروفایلها از صفحات عمومی دانشگاهها جمعآوری شده و ممکن است بهروز نباشد.
Iris Beerepootمشاهده پروفایل
استادیار
Dr. Iris Beerepoot is an Assistant Professor at the Faculty of Science , Utrecht University, specializing in Process Science within the Department of Information and Computing Sciences. Her work bridges Process Mining , Business Process Management , and Artificial Intelligence , with a focus on improving organizational workflows through empirical analysis of workarounds and process deviations. She contributes to the AI Labs and the Institutions for Open Societies (IOS) - Future of Work research themes. Affiliation: Utrecht University Role: Assistant Professor (Process Science) Departments: Information and Computing Sciences Her research explores how workarounds in healthcare and retail systems can inform process improvement, leveraging event log analysis , active window tracking , and semi-automated detection frameworks . Recent publications address challenges in translating process mining insights into actionable strategies, particularly in healthcare settings. She teaches courses such as Academic Skills and Business Process Management , while also engaging in secondary activities like serving on the Objections Committee of the Municipality of Hoorn . Her methodological expertise includes mixed-methods research , case studies , and qualitative evaluations of process mining findings.
Trevor Sorensen is an Associate Professor in the Department of Accounting & Finance at the College of Business, University of Wyoming . He holds a Ph.D. from the University of Alabama and both M.S. and B.S. degrees from Brigham Young University. His research focuses on three primary domains: Market Reactions : Investigating how financial markets respond to accounting disclosures and regulatory changes Financial Accounting : Examining standards compliance, asset valuation, and reporting efficacy Taxation : Analyzing regulatory impacts on tax preparation and policy implications His recent publications demonstrate a strong emphasis on technological disruption in accounting, including studies on AI chatbots (ChatGPT), robotic process automation (RPA), and regulatory impacts. Over 80% of his 2019-2024 articles address technology's role in reshaping accounting practices, with secondary themes covering market behavior analysis and regulatory effectiveness.
Prof. Dr. Stefan Kuhlins is a Professor of Business Informatics at Heilbronn University's Faculty of Economics. He specializes in Business Engineering Logistics and previously worked at the universities of Mannheim and Regensburg. His research focuses on E-commerce, XML technologies, and enterprise software integration. He also operates as a freelance business information technology specialist. Current: Professor at Heilbronn University (Faculty of Economics) Previous: University of Mannheim, University of Regensburg Specialization: Business Engineering Logistics (formerly Technical Logistics Management) Freelance: E-commerce and software projects Education : Graduate in Business Information Technology Research Interests : His work spans business informatics, information technology, and programming with particular emphasis on database systems, XML standards, and Robotic Process Automation (RPA). He has developed frameworks for enterprise application integration and explored wireless usability metrics through Java software agents. His publications reflect a strong focus on E-commerce systems, XML schema design, and software development methodologies. Publications Trends : His scholarly output from 1993-2018 covers XML technologies, Java applications in enterprise systems, simulation modeling for logistics, and web service integration. The articles demonstrate consistent engagement with software engineering challenges in E-commerce and enterprise contexts. Technical Leadership : Since 2014, he has served as Head of the Internship Office for Business Engineering Logistics (BEL) and Technical Logistics Management (TLM) programs at Heilbronn University. This administrative role complements his technical expertise in systems design. Programming Expertise : With deep knowledge of C++ standard libraries and Java technologies, he has contributed to areas like garbage collection, CORBA optimization, and multithreaded frameworks. His technical work spans from core programming challenges to enterprise-scale integration solutions.
Ida Lindgren is Professor in Information Systems at Linköping University's Department of Management and Engineering, studying digitalization's impact on public sector organizations. Education: PhD Information Systems Development (Linköping 2013), MSc Cognitive Science. Research examines e-service design, citizen-government interactions, and automation in welfare services. Focuses on accessibility challenges and organizational transformations. Awards: Outstanding Paper Award (IFIP EGOV 2015) Börje Langefors Award Runner-up Leads projects on RPA implementation in municipalities. Editorial board member for Government Information Quarterly. Chairs IFIP WG 8.5 on Information Systems in Public Administration.
Aya Rizkمشاهده پروفایل
دانشیار
Aya Rizk is an Associate Professor at Linköping University's Department of Management and Engineering (IEI), within the Information Systems and Digitalization (INDIG) division. She holds a PhD in Information Systems from Luleå University of Technology (2020) and an M.Sc. in Business Informatics from the German University in Cairo (2012). Her research focuses on digital innovation, AI applications in organizations, and data-driven decision-making's societal impacts. She actively contributes to interdisciplinary studies on e-government and digitalization strategies. Education: PhD (2020), M.Sc. (2012) Positions: Board member at Riteband AB, Program Director of the Information Systems Analysis bachelor program Her research explores how organizations leverage AI and digital tools for innovation, including topics like automated decision-making in public sectors, digital prototyping, and RPA implementation challenges. Recent work analyzes longitudinal shifts in Swedish local government digitalization strategies. She combines qualitative and quantitative methods, using data science techniques like clustering and topic modeling. Aya has participated in conferences such as EGOV-CeDEM-ePART 2024, presenting on e-government advancements. She collaborates with colleagues including Ida Lindgren and Daniel Toll, contributing to both academic and applied research in digital systems.
Carlos J. Costa is an Associate Professor with Habilitation at the Lisbon School of Economics and Management (ISEG) , part of the University of Lisbon . He serves as Associate Chair of the Department of Management and coordinates the doctoral program at ISEG. His research focuses on Machine Learning Applications to Management and Finance , Gamification , Design Science Research , and Information Systems Theory . Education: Aggregation in Business Administration and Management (2023), University of Lisbon PhD in Information Sciences and Technologies in Information Systems and Databases (2002), ISCTE Masters in Management Sciences (1995), ISCTE Bachelor of Business Administration (1990), Portuguese Catholic University His recent research and publications highlight the intersection of Blockchain Technology , Digital Transformation , and Sustainability . He has extensively studied Gamification in e-Banking , ERP Systems in Education , and Machine Learning Applications for real estate and cryptocurrency markets. He has supervised over 50 master's theses at ISEG, covering topics like Generative AI in Business , LSTM-Based Option Pricing , and Smart City Applications of Blockchain . Leadership Roles: Chair of EuroSIGDOC/ACM since 2022 Former Director of Addetti-IUL Research Center Coordinator of Information Systems Research Group at Istar IUL Former Board Member of Audax-IUL Center of Innovation and Entrepreneurship Professional Affiliations: IEEE Member Portuguese Association of Economists Certified Accountants Association ACM Member
Liliana Pinaمشاهده پروفایل
استاد مدعو
- Future of Finance
- Future of Work
- Productivity
- +۸ مورد دیگر
Liliana Pina serves as an Adjunct Professor at ISCTE Business School within the Executive Education division, while maintaining her primary role as Partner at Winning Scientific Management. Her dual expertise bridges academic instruction and frontline industry consulting across multinational organizations. Her educational foundation includes an Executive MBA from Porto Business School, a Master's degree in Corporate Finance, and a bachelor's degree in Economics from FEUP. This academic background directly informs her professional specialization. Research and professional interests focus on transformative business domains: Future of Finance and Work paradigms Corporate Finance Transformation frameworks Digital Enablers including Data Analytics, Process Mining, and RPA Agile Innovation in functional operations (Finance, IT, Marketing, Shared Services) As an industry-integrated educator, she emphasizes practical application over theoretical research, with no indication of traditional academic advising or grant-funded research. Her teaching leverages 15+ years of Big4 consulting experience in Strategy & Operations across global service centers and digital transformation initiatives.
Gelayol Golcarenarenjiمشاهده پروفایل
مدرس ارشد
Gelayol Golcarenarenji is a Senior Lecturer in Artificial Intelligence and Machine Learning at the School of Computing, Portsmouth University. She previously held a Postdoctoral Research Fellowship at the University of the West of Scotland, where she contributed to national and European projects like 5G INDUCE and NG-RPAS. Her research focuses on AI, deep learning applications, UAVs, autonomous systems, image processing, and advanced materials. She has won the CEED-SCOTLAND Innovation Award and the UK Times Higher Education Knowledge Exchange Award. She is actively involved in projects such as the AI Leadership Skills Bootcamp funded by Portsmouth City Council (£144,000). She holds a PhD in Computer Science from Deakin University, Australia, with a focus on optimizing carbon fiber production processes. Her work spans diverse domains including maritime search and rescue using UAVs on edge devices, real-time traffic light detection for autonomous vehicles, and violent behavior detection via CNNs. She collaborates globally and serves on editorial boards for journals like Machine Vision and Applications . Her research often bridges theoretical advancements with practical applications in safety, automation, and smart technologies. Key achievements include developing efficient CNN-based facial detection algorithms and edge-computational frameworks for industrial corrosion inspection. She continues to explore innovative AI solutions for real-world challenges, particularly in autonomous systems and human safety monitoring.
Mathias Weske is a Professor at the Hasso Plattner Institute in Potsdam, Germany. His research focuses on Business Process Management (BPM), Process Mining, Blockchain-based process execution, and Robotic Process Automation (RPA). He has contributed extensively to advancing methodologies for resource allocation in processes, decision support systems, and integrating blockchain technology into collaborative processes. Key research areas include business process analysis, data-driven case management, and healthcare process optimization. His work spans theoretical frameworks (e.g., BPMN extensions, choreography models) and practical tools (e.g., OpenBPT platform). Recent efforts emphasize RPA complexity metrics, accessibility in process modeling for visually impaired users, and democratizing RPA mining techniques. Publications frequently explore interdisciplinary applications like healthcare process mining and blockchain transaction ordering. His contributions bridge theory and practice, addressing challenges in automation, collaboration, and process intelligence across industries.
Alin Stefanescu is a Professor and Head of the Computer Science Department at the University of Bucharest , Romania. He is also a founding member of the Institute for Logic and Data Science (ILDS) . His research focuses on software engineering, cybersecurity, and artificial intelligence, with contributions to formal methods, model-based testing, and distributed systems. Education: PhD (2006) in Computer Science, University of Stuttgart Habilitation Thesis (2017) in Formal Methods for Software Testing, University of Bucharest MSc (2000), BSc (1998) in Computer Science, University of Bucharest Research Interests: Formal verification of distributed systems Model-based testing and software quality assurance AI-driven tools for cybersecurity and testing (e.g., RobustCheck, CyberGuardian) Blockchain applications in AI and identity management Reinforcement learning for fuzz testing and automation Recent Trends in Publications: Recent work emphasizes AI integration in testing frameworks, blockchain for secure AI systems, and adaptive cybersecurity tools. He has pioneered open-source tools like RiverFuzzRL and EBLT, addressing challenges in automated testing and vulnerability analysis. Awards: Best Paper Award at ICSOFT'23 (2023) 10-Year Most Influential Paper Award (2023, for 2013 work) Best Student Paper Award (2010) Grants & Labs: Active in EU-funded projects like DYNABIC (AI techniques) and MEASURE (metrics modeling). Leads the ILDS institute, focusing on logic and data science research.
- Finance
- Accounting
- Sustainability
- +۳ مورد دیگر
Dr. Connie Shum serves as Professor of Finance in the Department of Finance at Pittsburg State University's College of Business. Holding a DBA in Finance from Louisiana Tech University, she maintains active professional designations including CFA, CPA, CMA, and CFM. Her academic credentials include: DBA in Finance, Louisiana Tech University Dr. Shum's research integrates finance, accounting, and sustainability with methodological innovations in natural language processing and cross-cultural analysis. Her work examines digital transformation in accounting systems, green bond markets, and corporate governance mechanisms while addressing practical challenges in taxation—particularly regarding China's evolving regulatory landscape and international tax policy. Recent publications demonstrate growing interdisciplinary connections between finance and information systems. Her 15 most recent publications reveal three dominant research trajectories: sustainable finance (green bonds, ESG disclosures), technology disruption (RPA, digital transformation), and comparative tax systems (China focus, cross-continental analysis). This evolution reflects increasing attention to environmental, social, and governance factors within financial decision-making. Recognition for her scholarly contributions includes: Fulbright Award (2003) Kelce Excellence in Research Award (2012, 2017, 2023) Kelce Excellence in Service Award (2022) While specific grant details aren't documented in available materials, her sustained research productivity evidenced by continuous publication since 1989 and multiple teaching awards indicates significant funding acquisition and mentorship activity. Her work on CFP certification perceptions and accounting education methodologies demonstrates commitment to professional development. Research operations are conducted through standard university academic structures without specialized laboratory facilities mentioned in current documentation.
Lisa Perkhoferمشاهده پروفایل
استادیار
- Data Visualization
- Big Data
- Management Reporting
- +۶ مورد دیگر
Lisa Perkhofer is an Assistant Professor at the University of Applied Sciences Upper Austria, Faculty for Business and Management, with a focus on data visualization, management reporting, and accounting systems. She holds a PhD from Vienna University of Economics and Business (2021), and master's and bachelor's degrees in Controlling and Financial Management from Upper Austria University of Applied Sciences. Her research explores interactive visualizations for big data analytics, cognitive load in information design, and sustainable reporting practices. Key research projects include FinCoM (Financial Condition Monitoring), DDI (Data-Driven Insights via Dashboarding), and USIVIS (User-Centered Interactive Visualization). She has received awards such as the Joung Researcher Award (2022) and Dr. Hermann Zemlicka Award. Her teaching includes courses on Financial Engineering, Management Reporting, and Business Analytics. Education: PhD in Social and Economic Sciences, Vienna University of Economics and Business (2014–2021) M.A. in Controlling, University of Applied Sciences Upper Austria (2011–2013) B.A. in Controlling, University of Applied Sciences Upper Austria (2008–2011) Research Interests: Data visualization techniques, dashboard design, cognitive load theory, sustainability reporting, and big data applications in accounting. Her publications span peer-reviewed journals like Journal of Management Control and Clinical Chemistry and Laboratory Medicine , with a focus on visualization efficacy and decision-support systems. She has supervised numerous bachelor and master theses on topics like AI in taxation, CRM system adoption, and sustainability metrics. Lisa contributes to academic communities through conference presentations (e.g., CARF, FRAP) and co-authored textbooks such as Grundlagen der finanziellen Unternehmensführung . Her work bridges academic research and practical business challenges, emphasizing user-centered design and data-driven decision-making.
Marko Jäntti is a University Lecturer at the School of Computing, Faculty of Science, Forestry and Technology, University of Eastern Finland. His research focuses on IT Service Management (ITSM), cybersecurity, software engineering, and digital transformation. He has contributed to projects like VICTIS (Green ICT from Eastern Finland), exploring IoT and AI applications in environmental monitoring. His work emphasizes improving service quality through proactive approaches, such as Robotic Process Automation (RPA) and incident management frameworks. Research interests include ITSM practices in SMEs, cybersecurity challenges for small organizations, and process automation. Jäntti has published extensively on topics like continual service improvement, digital culture, and incident analysis. Notable projects include a case study on AI-based urban flood prediction using LoRaWAN networks in Kuopio. His work often involves collaboration with industry partners, such as energy companies and healthcare institutions, to apply theoretical models in real-world scenarios. Though no scientific awards are listed, his contributions to ITSM frameworks and SME cybersecurity have been widely cited in academic literature. Advising and grants include leadership in the VICTIS project and several case studies addressing IT service governance and digital transformation. Jäntti’s research bridges academia and practice, aiming to enhance efficiency and resilience in service-oriented systems.
- Operations Research
- Logistics
- Simulation
- +۷ مورد دیگر
Wouter J.A. van Heeswijk is an Assistant Professor in the Department of Industrial Engineering & Business Information Systems at the University of Twente, Faculty of Engineering Technology. His research lies at the intersection of operations research, logistics, and artificial intelligence, with a strong focus on decision-making under uncertainty. University: University of Twente School: Faculty of Engineering Technology Department: Industrial Engineering & Business Information Systems Academic Rank: Assistant Professor His research interests include logistics, simulation, dynamic programming, reinforcement learning, urban mobility, and human-centered automation . He applies advanced computational methods to real-world challenges in transportation, disaster response, and business process optimization. His work often integrates machine learning with optimization techniques to build adaptive, data-driven decision support systems. The most recent articles reflect a strong trend toward applying reinforcement learning and simulation-based optimization in complex logistics and urban systems. Topics include traffic equilibrium prediction, post-disaster inventory allocation with UAVs, and self-organizing transportation networks. His publications span high-impact journals and conferences in operations research and computer science. Scientific Awards and Recognitions: No specific awards mentioned in the provided text. Advising and Grants: Dr. van Heeswijk supervises graduate students, including PhD candidates such as R. Bosch. While specific grants are not listed, his active publication record across multiple years and diverse topics suggests ongoing research funding. He collaborates extensively with colleagues like M.R.K. Mes and others in the logistics and operations research domain. Labs and Research Teams: He is part of a research group focused on logistics, simulation, and decision support systems within the Industrial Engineering department. His work contributes to the broader fingerprint of ‘Logistics’, ‘Simulation’, and ‘Reinforcement Learning’ at the university.