Find Academic Supervisors

Ronald C. LaskyView profile

Professor

• Process Optimization
• Electronic Assembly
• Materials Science
• +4 more

Ronald C. Lasky is a Professor of Engineering at Dartmouth College's Thayer School of Engineering and a Senior Technologist at the Indium Corporation. His academic roles include teaching courses such as ENGM 187: Technology Innovation and Entrepreneurship and ENGS 155: Intermediate Thermodynamics . Dr. Lasky holds a BS in Engineering Physics from Cornell University (1970), an MS in Applied Mathematics from Binghamton University (1974), and a PhD in Materials Science from Cornell University (1986). His research focuses on process optimization, electronic assembly, materials science, and environmental compliance. Notable contributions include work on lead-free solder assembly and Lean Six Sigma methodologies. He received the Member of Technical Distinction Award from the SMTA in 2021. Dr. Lasky actively engages with industry, exemplified by his collaboration with Galanz in China, exploring modern manufacturing practices and infrastructure. His insights on global supply chains and technological advancements highlight his dual academic and professional expertise.

Mo RastgaarView profile

Professor

• Assistive Robotics
• Rehabilitation Robotics
• Cyber-Physical Systems
• +3 more

Dr. Mo Rastgaar is a Professor at Purdue Polytechnic Institute, Purdue University. He holds a PhD in Mechanical Engineering from Virginia Tech (2008) and completed a postdoctoral fellowship at MIT's Newman Laboratory for Biomechanics and Human Rehabilitation. He leads the Human-Interactive Robotics Lab (HIRoLab), focused on assistive and rehabilitation robots for enhanced mobility, particularly lower-extremity devices. His research emphasizes understanding agile gait dynamics through human experiments and modeling. Research interests include assistive robotics, cyber-physical systems, dynamics, and control systems. Notable awards include the 2014 NSF CAREER Award. He has secured grants such as the 2019 NRI Collaborative Grant on robotic ankle prosthetics and 2020 grants for undersea infrastructure. Dr. Rastgaar's work bridges biomechanics, robotics, and clinical applications, advancing prosthetic designs and human-robot interaction. Key contributions include developing steerable powered ankle-foot prostheses and exploring multi-robot systems for underwater exploration. His labs integrate interdisciplinary approaches to solve complex mobility challenges, emphasizing both technical innovation and real-world clinical impact.

Priyanka RainaView profile

Assistant Professor

• Domain-Specific Architectures
• Hardware/Software Co-design
• Energy-Efficient Computing
• +3 more

Priyanka Raina is an Assistant Professor of Electrical Engineering at Stanford University, with a courtesy appointment in Computer Science. She leads the Stanford Accelerate research group, focusing on domain-specific hardware architectures and agile hardware-software co-design. Her work emphasizes high-performance, energy-efficient accelerators for emerging technologies. Education: B.Tech. from IIT Delhi (2011), M.S. and Ph.D. from MIT (2013/2018). Postdoctoral experience includes NVIDIA Research (2018) and Amazon Visiting Academic (2023–present). Awards include the Sloan Research Fellowship (2024), NSF CAREER Award (2023), and Terman Faculty Fellowship (2018). Research Interests: Domain-specific architectures, near-memory computing, design productivity, and machine learning acceleration. Her group develops frameworks like AHA (Agile Hardware) for efficient accelerator design and compilers. Awards: Over 10 major awards, including best paper recognitions at VLSI, MICRO, and JSSC. Active roles as Associate Editor for IEEE JSSC and Program Chair for IEEE Hot Chips (2020). Advising & Teaching: Supervises multiple PhD and MS students in hardware design, CGRAs, and ML accelerators. Teaches VLSI design courses (EE271/272/372) and oversees independent studies in embedded systems and chip design. Labs & Collaborations: Affiliated with Stanford PORTAL Center, AHA Center, and SystemX Alliance. Projects include MINOTAUR (edge AI accelerator), Amber (CGRA-based SoC), and EMBER (RRAM macros).

Oliver KroemerView profile

Associate Professor

• Robot Learning for Manipulation
• Motion Planning for Manipulation Tasks
• Learning and Classification Algorithms
• +4 more

Oliver Kroemer is an Associate Professor at Carnegie Mellon University's Robotics Institute (RI), affiliated with the Intelligent Autonomous Manipulation (IAM) Lab. His research focuses on enabling robots to learn versatile manipulation skills through lifelong frameworks, with applications in elder care, environmental maintenance, and hazardous operations. Developed methods for robot learning via physical interaction and reinforcement learning Created representations for contact states and motor primitives to improve skill generalization Research Interests: Spanning robot learning, tactile sensing, force-velocity control, and lifelong skill acquisition. Projects include Agile and Dynamic Interactions for Mobile Manipulation and Integrated Planning and Learning (Pillar project). Scientific Awards: Finalist, Georges Giralt Ph.D. Award (2015) Education: Masters & Bachelors in Engineering, University of Cambridge (2008) Ph.D., Technische Universitaet Darmstadt (2014) Students & Affiliates: Current PhD: Mark Lee, Sarvesh Patil, Saumya Saxena, Yunus Seker, Zilin Si Past PhD: Alex LaGrassa, Tabitha Lee, Qiao Liang, Shivam Vats, Kevin Zhang

Christophe BissonView profile

Associate Professor

• Competitive Intelligence
• Strategic Foresight
• Artificial Intelligence
• +3 more

Christophe Bisson is an Associate Professor at SKEMA Business School (Paris campus) specializing in Strategy, Innovation & Entrepreneurship. His research examines augmented anticipatory systems, competitive intelligence, AI governance, and strategic early warning frameworks. He directs the MSc International Strategy and Influence program and leads research at the SKEMA Center for Artificial Intelligence. Bisson holds a PhD in Competitive Intelligence from Aix-Marseille University and a Postgraduate Certificate in AI from the University of Helsinki. His professional experience includes international strategy consulting and academic positions at universities in Turkey and France. Awards & Honors: Inducted into Council of Competitive Intelligence Fellows (2023) SCIP International Academic Award (2017)

Fabian FagerholmView profile

Assistant Professor

• Software Engineering
• Human-Computer Interaction
• Agile Development
• +3 more

Fabian Fagerholm is an Assistant Professor in the Department of Computer Science at Aalto University. His work bridges software engineering, human-computer interaction, and empirical research methodologies. He actively participates in research groups such as Software and Service Engineering (SSE) and Human-Computer Interaction and Design (HCID). Fagerholm's research explores: Continuous experimentation in software development Developer cognition and mental models Agile methodologies and team dynamics Low-code platforms and end-user programming Software engineering education and pedagogy His publications reflect a strong empirical focus, with recurring themes of human factors in technical systems and educational innovation. He has received notable awards including: Journal of Systems and Software Best Paper Award (2018) EUROMICRO SEAA Distinguished Paper Award (2017) Teacher of the Year (2013) Nokia Foundation Scholarship (2013) Fagerholm contributes to software engineering infrastructure through tools for experimentation and boundary artifacts, enhancing collaboration in distributed teams.

Aditya ParameswaranView profile

Associate Professor

• Database Systems
• Human-Computer Interaction
• Data Analytics
• +3 more

Aditya Parameswaran is an Associate Professor in the Electrical Engineering and Computer Sciences (EECS) department at the University of California, Berkeley. He co-directs the EPIC Data Lab and the Police Records Access project, focusing on simplifying data science at scale through human-in-the-loop systems, LLM-powered tools, and scalable data systems. His research spans database systems, human-computer interaction, and machine learning, with notable contributions in tools like Lux, Modin, and DataSpread. Education : PhD in Computer Science from Stanford University (2013) BTech in Computer Science and Engineering from IIT Bombay (2007) Research Interests : Parameswaran's work centers on empowering end-users with intuitive data tools. Recent projects include LLM-powered systems for document processing (DocETL, TWIX), proactive data systems, and benchmarking frameworks. He emphasizes democratizing data science through low/no-code solutions and improving production ML workflows. Articles Trends : His recent work (2023–2025) prioritizes LLM integration into data systems, focusing on robust pipelines, assertion generation (SPADE), and debugging tools (RAGGY). Earlier contributions include visualization recommendation (Lux), scalable dataframes (Modin), and spreadsheet optimization (DataSpread). Awards : Recipient of the VLDB Early Career Award (2019), Sloan Research Fellowship (2020), NSF CAREER Award (2017), and multiple best paper/demonstration awards at top venues like SIGMOD and VLDB. Advising & Grants : Guides over 20 PhD/postdoc alumni, many now in academia (e.g., Madelon Hulsebos at CWI) and industry leadership roles. Active in securing grants (e.g., NSF, Army Research Office) and industry partnerships (e.g., Snowflake, LangChain). Labs/Teams : Leads the EPIC Data Lab, focusing on agentic data systems, and co-founded Ponder (acquired by Snowflake). Collaborates on the Police Records Access initiative, building transparency tools for public records.

Alessandro GolkarView profile

Professor

• Space Systems Engineering
• CubeSat and Nanosatellite Technology
• Satellite Constellations
• +5 more

Prof. Alessandro Golkar is a Professor at the Technical University of Munich (TUM), leading the Chair of Picosatellites, Nanosatellites, and Satellite Constellations. He joined TUM in September 2022 and previously served as one of the founding faculty members at Skoltech, a Moscow-based graduate research university. His research focuses on advanced space mission concepts, systems engineering for picosatellites, and federated satellite systems. Prior to academia, he held roles at Airbus CTO, contributing to technology roadmapping and planning. His academic background includes expertise in aerospace engineering, systems design, and agile development methodologies for space hardware. Key research areas include CubeSat constellations, distributed satellite systems, and the integration of AI tools like Large Language Models (LLMs) into spacecraft design processes. He has pioneered projects such as the FSSCat mission, winner of the ESA Sentinel Small Satellite Challenge, and has explored applications of additive manufacturing for lunar missions. Prof. Golkar’s awards include the 2021 Karman Fellowship and IEEE Senior Membership (2018). His recent work emphasizes optimizing satellite networks, digital twin implementation, and orbital maneuvering for collision avoidance. He actively contributes to technology roadmapping, focusing on future human landing systems and lunar infrastructure development. Education: Ph.D. in Aerospace Engineering (details not explicitly stated). Grants & Funding: Extensive grants for CubeSat projects, federated systems research, and space technology innovation. Labs/Teams: Leads the Chair’s research group at TUM and collaborates with industry partners like Airbus on advanced mission concepts. His publications span over two decades, addressing topics like constellation design, machine learning in space, and agile processes for hardware development. He advocates for hybrid agile methodologies to bridge traditional systems engineering and modern product development.

• International Entrepreneurship
• Technological Innovation
• Corporate Entrepreneurship
• +7 more

Shaker A. Zahra is a Professor of Strategy and Entrepreneurship at the Carlson School of Management, University of Minnesota , where he holds the Robert E. Buuck Chair of Entrepreneurship. He has served as Department Chair, Director of the Holmes Center for Entrepreneurship, and Academic Co-Director of Carlson Ventures Enterprises, and was Founding Co-Director of the Center for Integrative Leadership. Previously, he held the Paul T. Babson Distinguished Professorship at Babson College and faculty roles at Georgia State University and the University of Twente (Netherlands). Education : PhD in Business Administration (University of Mississippi), MBA (National University), B. Commerce (Al-Azhar University) His research focuses on corporate and international entrepreneurship , dynamic capabilities , and social entrepreneurship , particularly in technology-based industries. He explores industry emergence, strategic novelty, and firm heterogeneity, applying theories across global markets. His recent articles emphasize corporate entrepreneurship, international new ventures, and the role of dynamic capabilities in innovation. His work spans industries like robotics, software, pharmaceuticals, and nanotechnology, with studies in China, Brazil, India, and Europe. Scientific Awards : 2014 Global Award for Entrepreneurship Research, 5 Honorary PhDs, Fellowships from AOM, IFERA, and others, and over 20 Best Paper Awards. He has advised 75+ PhD students, taught across undergraduate to executive programs, and consulted for global technology firms. His leadership includes roles on 25+ journal editorial boards, organizing conferences, and delivering 40+ keynote speeches worldwide.

Mohammad ZulkernineView profile

Professor

• Cyber-Physical System Security
• Software Reliability
• Security Engineering
• +6 more

Dr. Mohammad Zulkernine is a Full Professor and Canada Research Chair in Cyber-Physical System Security at Queen’s University’s School of Computing (Faculty of Arts and Science). He leads the Queen’s Reliable Software Technology (QRST) research group and directs the Queen’s Centre for Security & Privacy. His research focuses on secure software systems for cyber-physical systems, including autonomous vehicles, IoT, and cloud computing. Dr. Zulkernine holds a cross-appointment in Electrical and Computer Engineering and is a licensed Professional Engineer in Ontario. Education: BSc (Bangladesh BUET), MEng (Japan), PhD (University of Waterloo). He joined Queen’s in 2003 and has held sabbaticals at University of Trento, Italy and Irdeto Canada. He has published over 250 papers, led 35+ research projects, and supervised 120+ students. Awards include Canada Research Chairs (Tier I and II), Queen’s Excellence in Graduate Supervision Award, and Distinguished Supervision Award from the School of Computing. Research Interests: Cyber-Physical System Security, Software Reliability, IoT Security, Vehicle Networks, Secure Software Engineering, and Cybersecurity Risk Assessment. Active industry collaborations include EU-funded projects and Canada-Africa initiatives.

Yvonne RogersView profile

Professor

• Ubiquitous Computing
• Interaction Design
• Human-Computer Interaction
• +1 more

Yvonne Rogers is a Professor of Interaction Design and Director of the UCL Interaction Centre (UCLIC), with a joint appointment as Deputy Head of the Department of Computer Science at University College London. She joined UCL in 2011 after holding professorships at the Open University (2006-2011) and Indiana University (2003-2006). Her pioneering work spans ubiquitous computing, interaction design, and human-computer interaction, with a current focus on human-centered AI. She co-authored the definitive 'Interaction Design' textbook (6 editions, 300,000+ copies) and serves as CTO of LetThink.com. Research interests center on designing technologies that enhance human cognition and daily activities: Ubiquitous Computing: Augmenting learning/work activities through pervasive technologies Human-AI Interaction: Developing AI systems that enhance human decision-making Health Technologies: Creating VR therapies and ADHD support systems Community Resilience: Designing tools for environmental monitoring and sustainable practices Publication analysis reveals three dominant trends: (1) VR applications for mental health (emotion regulation, ADHD support), (2) AI systems for cognitive augmentation, and (3) community-centered tools for healthcare/environmental challenges. Recent work demonstrates strong emphasis on vulnerable populations including children with ADHD, older adults, and postoperative patients. Major scientific recognition includes: International Member, National Academy of Engineering (2024) ACM SIGCHI Lifetime Research Award (2022) Royal Society Robin Milner Medal (2022) Royal Society Fellowship (2022) Microsoft Outstanding Collaborator Award MRC Suffrage and Science Award (2020) Triple Fellow status (ACM, BCS, CHI Academy) Advises PhD students including Leon Reicherts, Sheena Visram, and Tu Duong. Secured major grants including EPSRC Dream Fellowship on ageing/computing and led the Intel Collaborative Research Institute on Sustainable Connected Cities (2012-2018). Directs UCLIC research center and previously established the Pervasive Interaction Lab at Open University.

Edoardo CharbonView profile

Professor

• Ultra High-Speed Optical Sensors
• 3D Optical Sensors
• LiDAR
• +10 more

Edoardo Charbon is a Full Professor at École Polytechnique Fédérale de Lausanne (EPFL) in the School of Engineering, where he leads the Advanced Quantum Architecture Lab (AQUA). He also serves on the School Council STI and is Co-Director of STI-SSIQ Administration. Previously, he was a full professor and chair at Delft University of Technology from 2008 to 2016. Charbon received his Elektrotechnik Diploma from ETH Zurich, M.S. from UC San Diego, and Ph.D. from UC Berkeley, all in electrical engineering. His career spans industry experience at Cadence Design Systems and Canesta Inc. before joining EPFL in 2002. His research focuses on ultra high-speed and 3D optical sensors, with applications in LiDAR, FLIM (Fluorescence Lifetime Imaging Microscopy), PET (Positron Emission Tomography), FCS (Fluorescence Correlation Spectroscopy), and NIROT (Near-Infrared Optical Tomography). He has pioneered deep-submicron CMOS SPAD technology, which is now mass-produced and used in smartphones, telemeters, and medical diagnostics. His recent work bridges cryo-CMOS circuits for quantum computing with advanced optical sensing techniques. Analysis of his recent publications reveals a strong trend toward integrating quantum technologies with practical imaging applications. His work spans from fundamental device development (SPAD sensors, cryo-CMOS circuits) to applied systems (LiDAR engines, medical imaging devices), with increasing integration of machine learning techniques for real-time processing. 2023 IISS Pioneering Achievement Award Fellow of the IEEE Distinguished visiting scholar, W. M. Keck Institute for Space at Caltech Fellow, Kavli Institute of Nanoscience Delft Distinguished lecturer, IEEE Photonics Society Professor Charbon has authored or co-authored over 500 papers and two books, and holds 27 patents. His research has been supported by collaborations with organizations including Bosch, X-Fab, Texas Instruments, Maxim, Sony, Agilent, and the Carlyle Group. He has driven significant innovation in CMOS SPAD technology, which is now commercially deployed in various applications. He leads the Advanced Quantum Architecture Lab (AQUA) at EPFL, which focuses on the development of advanced sensor systems combining quantum technologies with conventional electronics. The lab has been instrumental in creating SPAD-based imaging systems that push the boundaries of time-resolved optical detection.

Volker AhrensView profile

Professor

• Systems Engineering
• Production Management
• Lean Production
• +5 more

Volker Ahrens is a Professor of Production Management at NORDAKADEMIE since 2007. He also serves as Head of the Industrial Engineering (B.Sc.) program and the International Business & Administration (B.Eng.) program, while acting as Coordinator of the Department of Engineering. His career spans academic and industrial roles, including leadership positions in medium-sized industrial companies and editorial work on VDI standards. Education: Diplom-Ingenieur in Mechanical Engineering (1989, Universität Hannover); Doktor-Ingenieur (1997, Universität Hannover) Industrial Experience: 10 years of executive management in industry, including König Metall GmbH & Co. KG and Wilhelm Schröder GmbH His research focuses on Systems Engineering and Production Management, with emphasis on lean production, quality management, and Industry 4.0. His publications since 2025 explore systemic approaches to socio-technical systems, cardboard engineering for collaborative design, and human-technology interaction in production environments. He has contributed extensively to process modeling, simulation of production systems, and meta-process frameworks like PDCA cycles. The 15 most recent articles highlight trends in systemic production design, lean manufacturing, and Industry 4.0 applications. Key keywords include Systems Engineering, Production Management, Lean Production, and Quality Management. Subfields span socio-technical systems, simulation techniques, human-centered design, and cyber-physical system integration across industrial contexts. Volker Ahrens is actively involved in teaching, serving as a lecturer at Hochschule Karlsruhe (1998–2013) and Fachhochschule Vorarlberg (since 2017). He contributes to academic governance as a member of the NORDAKADEMIE faculty and chairs VDI committees on simulation standards for production systems. His advisory roles include peer reviewing for quality assurance agencies like FIBAA and ZEvA.

John BaillieulView profile

Professor

• Robotics
• Nonlinear control theory
• Mechanical systems control
• +6 more

John Baillieul is Distinguished Professor at Boston University with joint appointments in Mechanical Engineering, Systems Engineering and Electrical & Computer Engineering. He directs experimental laboratories for real-time control of lightweight robotic systems and applies nonlinear control theory to complex multi-body, networked, and bio-inspired systems. Education: Ph.D., Harvard University Research Interests: Baillieul’s work spans robotics, nonlinear control, and networked systems. Early contributions resolved motion-planning for kinematically redundant manipulators; current themes include neuromimetic learning, vision-based navigation, and resilience of infrastructure networks such as power grids. His group couples rigorous geometric control with real-time hardware to create lightweight, high-performance robots and to uncover fundamental information limits in feedback systems. Recent Publication Trends (2021-2025): Over the past five years his output has concentrated on three synergistic directions: (i) neuromimetic and Koopman-based data-driven methods for estimating and controlling nonlinear systems, (ii) vision-based guidance and sparse optical-flow primitives for agile autonomous flight, and (iii) network-theoretic decomposition and information-rate studies for resilient operation of power grids and collective dynamics. Honors & Awards: IEEE Fellow 2025 Roger W. Brockett Control Systems Award Former Editor-in-Chief, IEEE Transactions on Automatic Control Affiliations & Service: He is a member of Boston University’s Center for Information and Systems Engineering (CISE), has served as Editor-in-Chief of IEEE Transactions on Automatic Control, and remains active in editorial and organizational roles across the IEEE control systems community.

Michael C.L. CHAUView profile

Professor

• Business Analytics
• Artificial Intelligence
• Web Mining and Social Media
• +8 more

Professor Michael C.L. CHAU serves as Professor and Deputy Area Head of Innovation and Information Management at The University of Hong Kong's Faculty of Business and Economics. He also holds the position of Associate Director at the HKU HKJC Centre for Suicide Research and Prevention, and serves on the HKU Senate and Court. His academic journey includes a Ph.D. in Management Information Systems from the University of Arizona and a B.Sc. in Computer Science (Information Systems) from the University of Hong Kong. Dr. Chau's research spans business analytics, artificial intelligence, web mining, fintech, smart health, and security informatics. His work focuses on applying data/text/web mining techniques to business, education, and social domains. He leads the Artificial Intelligence Research Group at HKU Business School, which has secured significant funding from the Hong Kong Research Grants Council, Food and Health Bureau, and other agencies for projects including 'The Invisible Hand in Crowdfunding' and 'Factors Moderating the Predictive Power of Social Media Sentiment on Stock Returns'. His publication portfolio includes over 150 articles in premier journals like MIS Quarterly, JMIS, and IEEE Transactions, with recent work exploring large language models, hate speech detection, and disaster-related social media analysis. His research demonstrates strong interdisciplinary connections across computer science, information systems, and business applications. INFORMS ISS Design Science Award (2020) IEEE ITSS Leadership Award in Intelligence and Security Informatics (2020) AIS Sandra Slaughter Service Award (2016) HKU Outstanding Young Researcher Award (2014) Faculty Research Postgraduate Supervision Award (2020 & 2025) Cited over 9,400 times (h-index = 47) Dr. Chau actively mentors doctoral students and has supervised numerous PhD graduates who now hold academic positions at institutions including Fudan University, Xi'an Jiaotong-Liverpool University, and the University of Maryland. His research grants portfolio demonstrates sustained funding success across diverse areas including blockchain, mental health applications, and social media analytics. The Artificial Intelligence Research Group he leads maintains strong industry connections through projects with Hong Kong Red Cross and the Hospital Authority.