جستجوی استاد راهنمای دانشگاهی

Christoph Trinklمشاهده پروفایل

استاد

• Green Technologies
• Renewable Energy Technologies
• Solar Energy Engineering
• +۶ مورد دیگر

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

Juan Zhaiمشاهده پروفایل

استادیار

• Software-AI Synergy
• Software Dependability
• Formal Specification Synthesis
• +۴ مورد دیگر

Juan Zhai is an Assistant Professor in the Manning College of Information & Computer Sciences (CICS) at University of Massachusetts Amherst, where she co-directs the Laboratory for Advanced Software Engineering Research (LASER) and participates in the UMass NLP group. Her academic career spans over 7 years of active service including program committee roles at top-tier conferences like ICSE, FSE, and ASE. Her research focuses on Software-AI Synergy with core areas including: Formal Specification Synthesis for precise software behavior definition Comment Generation and Maintenance using LLMs Trustworthy AI through bias detection and framework testing Deep Learning Infrastructure Reliability Recent work demonstrates strong emphasis on practical tools for AI safety and software dependability. Her publication trends show consistent output in top software engineering venues (ASE, ICSE, FSE) with increasing focus on AI/ML conferences (ACL, CVPR, ICLR). Key themes include metamorphic testing for deep learning frameworks, bias analysis in LLMs, and formal methods for specification synthesis. She actively serves the community through: Program committees for 13 major conferences Reviewing for 5 top journals including TOSEM and TSE 40+ total reviews across SE and AI venues Juan mentors PhD students including Gehao Zhang (research focus: Software Engineering, AI Safety) and teaches graduate courses like CS520 (Theory and Practice of Software Engineering) and CS692P (Hot Topics in SE Research). She leads the LASER lab which develops tools like C2S, CPC, and DevMuT for software reasoning and AI infrastructure testing.

Jonathan Ragan-Kelleyمشاهده پروفایل

استادیار

• High-Efficiency Visual Computing
• Compilers
• Computer Architecture
• +۳ مورد دیگر

Jonathan Ragan-Kelley is the Esther and Harold E. Edgerton Assistant Professor of Electrical Engineering & Computer Science at MIT and an Assistant Professor of EECS at UC Berkeley. He leads the Visual Computing group at CSAIL, focusing on high-efficiency visual computing, compilers, and architectures for image processing, machine learning, and 3D rendering. His research bridges systems, compilers, and hardware design, emphasizing scalable solutions for computational challenges. Education: PhD in Computer Science from MIT (2014), postdoc at Stanford University, and visiting researcher at Google. He co-created the Halide language and has developed multiple domain-specific languages (DSLs) and compiler systems. Research interests include compiler optimization, scheduling languages (e.g., Exo), and efficient computing frameworks. He has received awards such as the NSF CAREER Award and ACM SIGGRAPH’s Significant New Researcher Award. Awards: ACM SIGGRAPH Award, NSF CAREER, Intel Outstanding Researcher Award Key Contributions: Halide compiler framework, Exo scheduling language, machine learning acceleration techniques Labs/Teams: Visual Computing at MIT CSAIL

Femi Olanمشاهده پروفایل

مدرس ارشد

• Digital Entrepreneurship
• Knowledge Management
• Performance Management
• +۵ مورد دیگر

Femi Olan is a Senior Lecturer at the Strategy, Operations and Entrepreneurship department within Essex Business School at the University of Essex. His academic work bridges the intersection of digital entrepreneurship, knowledge management, and artificial intelligence in organisational contexts. Educational Background: PhD, University of Plymouth Research interests focus on digital entrepreneurship , artificial intelligence , and knowledge management , particularly examining how these technologies enhance organisational resilience and sustainability. His publications in journals like Information Systems Frontiers and Technological Forecasting & Social Change highlight applications of AI in supply chains, crisis information management, and sustainability. Recent editorial roles include Cogent Business & Management Journal (2024) and guest editorships for special issues on fake news, sustainable agriculture supply chains, and crisis information management. His 15 most recent articles (2022-2025) span topics such as explainable AI in B2B marketing, CSR implementation in African SMEs, and Industry 4.0 adoption in agriculture. He supervises PhD candidates in entrepreneurship and has secured funding from the UK Higher Education Academy and European Commission . As a coordinating board member of the Euro Working Group – Decision Support Systems , he contributes to international research networks and conferences.

Haakon Sundbøمشاهده پروفایل

مدرس ارشد

• Multimedia Technology
• E-Learning
• Photography
• +۱۶ مورد دیگر

Haakon Sundbø is a Senior Lecturer at the Department of Information and Communication Technology, University of Agder. He teaches courses such as Computer Science (DAT100), Multimedia Design (DAT104), Web Publishing (DAT110), Visual Design (DAT222), Sound Engineering (DAT228), ICT and E-learning in Vocational Subjects (PED978), and Didactic Use of Digital Tools (MM903). His academic responsibilities also include guest lecturing and supervision in ICT Project (DAT215), Photography (DAT227), Video (DAT229), Bachelor's Project (DAT303), Web and Online Knowledge (MM901), Remote Operated Vehicles (MM202), Interaction Design (MM403), and Technology for Teachers (TEKPED60). Materials, Energy and Nanotechnology (BSc, University of Oslo) Multimedia Technology and Design (BSc, University of Agder) Multimedia and Educational Technology (MSc, University of Agder) Haakon's research focuses on lifelong learning, e-learning platforms, interaction design, user experience, artificial intelligence in education, augmented reality, virtual reality, and digital competence development. He has contributed to projects like Decentralized Competence Development (DEKOMP), UiA Consense, and drone technology research at University of Agder. His recent publications analyze AI integration in teaching, digital frameworks for schools, screen usage guidelines, and collaborative learning networks. He also leads a research group on Multimedia and E-learning, emphasizing flexible digital resources and practical technology adoption in educational contexts.

Prashant Sankaranمشاهده پروفایل

استادیار

• Artificial Intelligence
• Operations Research
• Healthcare Optimization
• +۳ مورد دیگر

Prashant Sankaran is an Assistant Professor in the Department of Industrial and Systems Engineering at the University at Buffalo (School of Engineering and Applied Sciences). He holds a PhD in Mechanical & Industrial Engineering from Rochester Institute of Technology (2023), an MS in Industrial & Systems Engineering from RIT (2020), and a BTech in Mechanical Engineering from Sharda University (2014). His research focuses on artificial intelligence for reasoning under uncertainty, explainable AI, and applications in healthcare, energy management, transportation, and space exploration. He integrates operations research and AI techniques to address complex optimization challenges. Research interests include computational design of bioelectronic materials, kidney exchange optimization via graph machine learning, and solving NP-hard combinatorial problems with hybrid learning-optimization frameworks. His work bridges theoretical advancements (e.g., genetic algorithms) with real-world applications like autonomous logistics systems and renewable energy management. No scientific awards have been mentioned. While no advisees are listed, his publications reflect collaborations across AI, robotics, and healthcare sectors. His research spans topics from deep reinforcement learning in warehouse automation to synthetic data generation for transplant systems.

• Algorithmic Foundations of Mathematical Optimization
• Reinforcement Learning
• Data-centric Learning
• +۵ مورد دیگر

Supriyo Ghosh is a Senior Researcher at Microsoft Research, India. Prior to this role, he held positions at IBM Research AI Lab (2019–2021) and the Institute of Infocomm Research (I2R), A*STAR. He completed his PhD in Information Systems at Singapore Management University (2017) under Prof. Pradeep Varakantham and conducted postdoctoral research at MIT's SMART and LIDS centers (2016–2017). His research focuses on data-driven decision analytics, including algorithmic optimization, reinforcement learning, urban logistics, and network resilience in cyber-physical systems. His work has addressed cloud incident management, proactive decision-making under uncertainty, and applications of large language models (LLMs) in system reliability. Notable contributions include developing automated root-cause analysis frameworks and improving incident response strategies in large-scale cloud environments. He has also explored reinforcement learning applications in healthcare treatment optimization and air traffic control systems. Award-winning research includes the Best Paper Award at ACM SoCC'22 for an empirical study on high-severity cloud service incidents. He actively serves as a PC member for top conferences like AAAI, NeurIPS, and ICML, demonstrating his leadership in advancing AI and optimization fields. His academic background includes a graduate exchange at Carnegie Mellon University (CMU) and collaborations with MIT faculty like Prof. Patrick Jaillet. His work bridges theoretical foundations with real-world applications in transportation, cybersecurity, and enterprise systems.

Jacob Haislipمشاهده پروفایل

دانشیار

• Accounting Information Systems
• Corporate Governance
• Cybersecurity
• +۴ مورد دیگر

Jacob Haislip is an Associate Professor of Accounting at the Rawls College of Business, Texas Tech University. He specializes in Accounting Information Systems and teaches undergraduate and advanced courses in data analytics in accounting. His research focuses on corporate governance dynamics, particularly intersections between information technology governance and organizational outcomes. Dr. Haislip holds a PhD in Business Administration (Accounting emphasis) from the University of Arkansas (2014), and MS and BBA degrees in Accounting from Texas Tech University. His research explores how executive IT expertise and board-level technology committees influence cybersecurity disclosures, audit processes, and corporate governance outcomes. Key areas include audit committee effectiveness, data breach reporting practices, and the economic consequences of IT material weaknesses. His work has been published in top journals like Contemporary Accounting Research and Information Systems Research. Haislip currently serves as associate editor for the Journal of Information Systems and editorial board member for the International Journal of Accounting Information Systems. He will assume the role of Treasurer for the American Accounting Association's AIS Section in 2024. His research trends emphasize understanding how technology governance structures impact financial reporting quality, regulatory compliance, and organizational resilience. Recent work highlights executive accountability mechanisms following cybersecurity incidents and the role of audit committees in mitigating earnings management risks.

Ousmane Seidouمشاهده پروفایل

استاد

• Hydrological Modeling
• Climate Change Impacts
• Water Resources Management
• +۴ مورد دیگر

Dr. Ousmane Seidou is a Full Professor in the Department of Civil Engineering at the University of Ottawa, where he has served since 2007. He leads the Hydraulics Lab and holds affiliations with the Faculty of Engineering's Centre for Indigenous Community Infrastructure. His academic journey includes a PhD from École Polytechnique de Montréal (2002) and postdoctoral research at the Institut National de la Recherche Scientifique, Quebec. Dr. Seidou specializes in climate change impacts on water resources, hydrological modeling, and transboundary water management. Education: Ph.D. in Civil Engineering (Hydraulics), École Polytechnique de Montréal (2002) M.Sc. in Water Resources Engineering, École Polytechnique de Montréal (2002) Postgraduate Diploma in Hydroinformatics, École Inter-États des Ingénieurs de l'Équipement Rural (1998) Undergraduate Degree in Civil Engineering, École Mohammadia d'Ingénieurs (1996) Research Focus: Dr. Seidou’s work integrates hydrological modeling with climate adaptation strategies, emphasizing Africa’s water security. Key areas include: Climate change impacts on river basins (e.g., Niger, Congo) Development of flood early warning systems in West Africa Water-Energy-Food-Environment (WEFE) nexus frameworks Environmental flow estimation in wetland ecosystems He leads international projects involving multi-country collaborations and agencies like the United Nations Development Programme and the World Bank. Recent Projects: Principal Investigator for the Niger Basin Authority’s WEFE Nexus initiative Technical leadership in the Dutch-funded BAM-GIRE project (Mali/Guinea wetlands) Development of flood early warning systems for Niamey and Gaya (Niger) Teaching: Courses include Climate Change Impacts on Water Resources, Advanced Hydrological Modeling, and Water Resources Management. He mentors PhD students in hydrology and climate adaptation. Grants & Funding: Secured multi-million-dollar projects with organizations like Wetlands International and the UAE-BELEM Programme. Recent funding includes $135,000 for hydrological modeling tools in the Niger Basin. Labs/Teams: Director of the Hydraulics Lab at the University of Ottawa. Active in global initiatives like the Global Goal on Adaptation (GGA) indicator development under the Paris Agreement.

Michael Everettمشاهده پروفایل

استادیار

• Robotics
• Motion Planning
• Control Theory
• +۶ مورد دیگر

Michael Everett is an Assistant Professor at Northeastern University with a joint appointment in the Department of Electrical & Computer Engineering and the Khoury College of Computer Sciences. He directs the Autonomy & Intelligence Laboratory, focusing on certifiable learning machines at the intersection of robotics, deep learning, and control theory. His research emphasizes safety, reliability, and efficiency in robotics applications like off-road navigation and social environments. Education: PhD in Mechanical Engineering, Massachusetts Institute of Technology (2020) SM in Mechanical Engineering, MIT (2017) SB in Mechanical Engineering, MIT (2015) Research Interests: Robotics and motion planning Control theory and neural network verification Reinforcement learning applications Certifiable safety guarantees for autonomous systems Navigation in dynamic/human environments Awards: Runner-Up: Best Paper Award (ICML 2022) Winner: Best Student Paper (IROS 2017/2023) Editors’ Top 5 Published Articles (IEEE Access 2021) Lab & Contributions: The Autonomy & Intelligence Lab develops algorithms for high-speed off-road autonomy, socially aware navigation, and neural feedback verification. His work includes the RAMP planning pipeline and Evora traversability learning framework. He collaborates with Google’s PAIR team on trustworthy AI.

Sagar Samtaniمشاهده پروفایل

دانشیار

• Artificial Intelligence for Cybersecurity
• Cyber Threat Intelligence
• Deep Learning
• +۵ مورد دیگر

Sagar Samtani is an Associate Professor and Weimer Faculty Fellow at the Kelley School of Business , Indiana University. He serves as Director of the Kelley’s Data Science and Artificial Intelligence Lab (DSAIL) . His research focuses on Artificial Intelligence for Cybersecurity , including cyber threat intelligence, deep learning, and dark web analytics. He holds a PhD from the University of Arizona (2018), and has received prestigious awards such as the Indiana University Outstanding Junior Faculty Award (2023) and IEEE Big Data Security Junior Research Award (2023). Education : PhD in Information Systems, University of Arizona, 2018 MSMIS, University of Arizona, 2014 BSBA, University of Arizona, 2013 Research Interests : Samtani’s work addresses cybersecurity challenges through AI, including proactive threat detection, vulnerability assessment, and healthcare analytics. He emphasizes explainable AI (XAI) for transparency in cybersecurity systems. Grants & Awards : NSF Grant: CyberCorps SFS Program ($2.3M, 2020–2025) NSF Grant: AI4Cyber Research Education ($300K, 2020–2022) Multiple teaching awards, including the Trustees Teaching Award (2023) and recognition as one of Top 50 Undergraduate Professors (2022) Labs & Teams : Leads the DSAIL lab, focusing on AI-driven solutions for business and cybersecurity. Collaborates with NSF-funded initiatives on cyber AI education and threat intelligence.

Marie Josee Lamotheمشاهده پروفایل

استاد

• Retail Management
• Digital Transformation
• Marketing
• +۵ مورد دیگر

Marie Josee Lamothe is a **Professor of Practice** at McGill University within the **Desautels Faculty of Management** and **Bensadoun School of Retail Management**, and serves as **Academic & Executive Director** of the **McGill Dobson Centre for Entrepreneurship**. With over 25 years in digital and consumer products leadership roles at Google, L’Oréal, and Procter & Gamble, she specializes in Digital Transformation, Global Branding, and Retail Innovation. She holds board positions at Alimentation Couche-Tard, RioCan REIT, and Group Dynamite, and advises startups through Tandem International. **Education**: B.Sc. (Mathematics & Economics, Honors), University of Montreal; Executive Management Program (INSEAD); Certifications: MIT Sloan (AI Strategy), Oxford (Cybersecurity), NASBA (Cybersecurity Risks), and the GCB.D (ESG) designation. **Research & Teaching**: Focuses on sustainable retail practices, ESG principles in entrepreneurship, and leveraging technology for operational efficiency. Courses include *Foundations of Retailing*, *Environmental Social Governance & Entrepreneurship*, and *Sustainable Retail and Entrepreneurship*. **Awards**: Recognized as a global leader with distinctions such as the Triple E Award, Desautels Achievement Award, and inclusion in *Canada’s 40 Global Leaders*. Her leadership extends to government advisory roles, including the Quebec Advisory Council on Economy & Innovation and the Canada 150 Research Chairs Review Panel. **Advisory & Impact**: Oversees the Dobson Centre’s mission to transform university innovation into startups. Engages with public sector audits (e.g., Employment and Social Development Canada) and chairs the McGill Healthy Brain Healthy Life Foundation Board.

Gareth Pierceمشاهده پروفایل

استاد

• Robotics
• Non-Destructive Testing & Evaluation (NDT&E)
• Ultrasonics
• +۷ مورد دیگر

Professor Gareth Pierce is a leading academic at the University of Strathclyde, serving as Co-Director of the Centre for Ultrasonic Engineering and Academic Director of the UK Research Centre in Non-Destructive Evaluation (RCNDE). He specializes in robotics, autonomous systems, and non-destructive evaluation (NDT&E), with a focus on structural health monitoring (SHM) and advanced manufacturing. His work integrates robotics, AI, and ultrasonics to address challenges in aerospace, energy, and healthcare sectors. He holds a Spirit Aerosystems/Royal Academy of Engineering Research Chair and leads the £50M SEARCH (Sensor Enabled Automation, Robotics & Control Hub), which spans manufacturing and asset management applications. Education: BSc (Hons) in Pure and Applied Physics from the University of Manchester (1989), PhD in Fibre-Optic Interferometers for Laser-Generated Ultrasound from UMIST (1993). Additional qualifications include City & Guilds certifications in electrical installations and a PGDip in Psychological Wellbeing. Research Priorities Autonomous robotic inspection for manufacturing and asset management Integration of AI/machine learning with NDT&E systems In-process inspection for additive manufacturing and welding Ultrasonic and guided wave technologies for defect detection Key Achievements 2023 Anne Birt Award for NDT innovation Leadership roles in SRPe Robotics & UK HVM Catapult initiatives Over 270 research outputs, 86 projects, and a £50M research portfolio Teaching Course organiser for EE312 (Instrumentation & Microcontrollers) and contributes to advanced systems engineering education. Supervises student projects across engineering disciplines. Labs & Collaborations SEARCH Hub operates from Royal College R2.41 (manufacturing applications) and Technology Innovation Centre TIC 7.14 (asset management). Collaborates with global industry partners like Spirit Aerosystems and Högskolan Väst (Sweden).

Stephen Glaeserمشاهده پروفایل

دانشیار

• Accounting
• Taxation
• Innovation
• +۴ مورد دیگر

Stephen Glaeser is an Associate Professor of Accounting and Associate Dean of the PhD Program at the Kenan-Flagler Business School of the University of North Carolina at Chapel Hill. He holds a PhD in Business Administration from the Wharton School of the University of Pennsylvania, along with an MBA and BA from the Fisher College of Business at Ohio State University. His research focuses on the intersection of accounting and economics, particularly in taxation, innovation, and corporate disclosure strategies. Dr. Glaeser studies how firms balance the benefits of investor communication against risks of revealing non-excludable innovations, and how tax policies influence corporate decisions. He also explores agency conflicts arising from imperfect information. His research interests include intellectual property rights, tax complexity effects on entrepreneurship, and ESG disclosure integrity. He has published in top journals like The Accounting Review , Journal of Accounting and Economics , and Review of Accounting Studies . Notably, he received the 2019 Best Dissertation Award from the American Accounting Association's Financial Accounting and Reporting Section for his work on trade secrets and corporate transparency. Teaching: Courses in managerial and financial accounting. Work Experience: Former Assistant Vice President at Citi Hedge Fund Services and Internal Audit Team Leader at Huntington National Bank. His recent articles highlight trends in AI-driven workforce changes, corporate R&D transparency, and tax policy's role in innovation. He critically examines how firms navigate disclosure challenges while managing risks linked to intellectual property and labor markets.

• Humanitarian Operations
• Air Traffic Management
• Logistics Optimization
• +۷ مورد دیگر

Dr. Jose Escribano is a Lecturer in Aviation & Logistics at the Department of Civil and Environmental Engineering within the Faculty of Engineering at Imperial College London. His research focuses on humanitarian logistics optimization, AI-driven airspace management, and urban resilience strategies. He holds a First Class Honours bachelor’s degree (2015) and a PhD (2021) from Imperial College London. Dr. Escribano is affiliated with the Centre for Transport Engineering and Modelling and the Transport Systems and Logistics Project D-Risk SHIFT. His academic qualifications include a BEng in Engineering and a PhD in Civil Engineering, both from Imperial College London. His professional affiliations include the Institution of Civil Engineers, Chartered Institute of Logistics and Transport, and the American Institute of Aeronautics and Astronautics. He has received the 2023 Transportation Research Board Best Paper Award and a JSPS Fellowship for urban evacuation modelling. Dr. Escribano’s research integrates stochastic modelling, machine learning, and simulation to address challenges in humanitarian response, UAV coordination for disaster relief, and airspace safety. His work emphasizes endogenous value-of-information analysis and the application of cutting-edge technologies to enhance societal resilience. He has collaborated with the United Nations World Food Programme on UAV deployment models for humanitarian contexts. His recent publications span topics like air traffic network resilience, autonomous vehicle optimization, and last-mile delivery mechanisms. He advises doctoral candidates in transportation systems, logistics, and air traffic management, offering opportunities for PhD research in these domains.