Robotics Software Professors and Supervisors | ApplySharif

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Corrado LoglisciView profile

Assistant Professor

University of BariItaly

Corrado Loglisci is an Assistant Professor at the Department of Computer Science, University of Bari Aldo Moro, Italy. His research focuses on Temporal Data Mining , Machine Learning , and Quantum Computing , with applications in bioinformatics, medical informatics, and cybersecurity. He earned his Ph.D. in Computer Science with a thesis on temporal projection in longitudinal data. Research Highlights : Temporal Learning, Textual Data Mining, Quantum-Classical Hybrid Systems Collaborations : IRSTEA Research Institute (France), Aristotle University of Thessaloniki (Greece) His publications address dynamic network analysis , emotion detection in social media , and quantum-enhanced classification . He contributes to program committees and journal editorial work, including a special issue on Mining Complex Patterns in the Journal of Intelligent Information Systems . Notable contributions include the jKarma framework for change detection and studies on concept drift robustness in intrusion detection systems. His work spans European/National research projects, leveraging machine learning for tasks like mobile crowd sensing trustworthiness prediction (2020) and investor behavior analysis (2023-2025).

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John FrancoView profile

Professor

University of CincinnatiUnited States

Prof. John Franco is a Professor of Computer Science at the University of Cincinnati, serving as Director of the National Center of Academic Excellence in Cyber Operations. His roles include Editor-in-Chief of the Journal on Satisfiability, Boolean Modeling, and Computation , and Vice Chair of the SAT Association. He has held visiting scientist positions at institutions in Germany (FAW Ulm, Universität Paderborn) and spent sabbatical leave at Fort George G. Meade. Education: Ph.D. in Computer Science, Rutgers University, 1981 M.S. in Electrical Engineering, Columbia University, 1971 B.S. in Electrical Engineering, City College of New York, 1969 Research Interests: Franco’s work focuses on satisfiability (SAT) algorithms, formal verification, cybersecurity, and computational complexity. He has pioneered probabilistic analysis of SAT-solving heuristics and contributed to the integration of SAT techniques into network security and formal methods. His research bridges theoretical computer science with practical applications in cyber defense and algorithm optimization. Grants & Funding: Franco has secured over 18 grants from agencies like the NSA, NSF, and ONR. Notable projects include Satisfiability Algorithm Research (NSA grants since 1999), cybersecurity curriculum development (NSA 2018–2022), and Ohio Cyber Range initiatives. He has led or collaborated on federal and state-funded projects totaling millions in funding. Labs/Teams: Directs the National Center of Academic Excellence in Cyber Operations, a collaborative effort with local defense contractors. His work involves partnerships with institutions like Wright State Applied Research Corporation and Riverside Research Institute.

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Wilhelm HasselbringView profile

Professor

University of SouthamptonUnited Kingdom

Wilhelm Hasselbring is Professor of Software Engineering at the School of Electronics and Computer Science, University of Southampton. His research focuses on software system quality, architecture design, and distributed systems with emphasis on fault-tolerance and monitoring. Software System Quality Architecture Design and Evaluation Microservices and DevOps Digital Twins and Prototyping Open Science Practices Current research explores digital twin prototypes for smart farming applications, metamorphic testing methodologies, and scalable microservice architectures. His work bridges theoretical frameworks with industrial applications in middleware and cloud systems. Recent awards include the Ernst Denert Award for Software Engineering (2019-2020). Publications span topics from JavaBERT language models to MQTT bridge evaluations, emphasizing software visualization and reverse engineering techniques. Contact: W.Hasselbring@soton.ac.uk

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Jasdeep SinghView profile

Researcher

Cornell UniversityUnited States

Jasdeep Singh is a Researcher and Postdoctoral Associate in the Nutrient Management Spear Program (NMSP) within the Animal Science department at Cornell University's College of Agriculture and Life Sciences (CALS). His research focuses on crop nutrient management, soil health, and the environmental impacts of regenerative agricultural practices such as reduced tillage, cover cropping, and manure-based products. He employs field experiments, predictive modeling, and advanced techniques like X-ray computed tomography to study soil properties and greenhouse gas emissions. His work emphasizes system-level approaches to achieve agronomic and environmental sustainability. Education: He holds a Doctorate in Soil Science with a Graduate Certificate in Data Science from South Dakota State University (2020) and a Bachelor of Science in Agriculture from Punjab Agricultural University, India (2016). Research Interests: Soil health, regenerative agriculture, greenhouse gas mitigation, crop yield stability, and the integration of technology (e.g., mobile apps, UAV imagery) for precision agriculture. His studies often address the interplay between soil physical/chemical/biological processes and climate resilience. Articles Trends: His publications span soil health assessment, cover crop impacts, greenhouse gas modeling (DNDC), and technological innovations in irrigation management. Recent work highlights the promise of regenerative practices in dryland systems and the application of machine learning for crop yield estimation. Labs/Teams: He collaborates with Dr. Quirine Ketterings' lab and contributes to the NMSP's mission of advancing nutrient management strategies for sustainable agriculture.

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Lucia BandieraView profile

Research Fellow

University of EdinburghUnited Kingdom

Dr. Lucia Bandiera is a Chancellor’s Fellow in Engineering Biology at the University of Edinburgh’s School of Engineering. Her research focuses on cybergenetic platforms to model and control biological systems, with applications in precision medicine and synthetic biology. She holds a PhD in Bioengineering from the University of Bologna (2013–2016) and has held postdoctoral positions at the University of Edinburgh’s Centre for Synthetic and Systems Biology. Key roles include Deputy Head of Graduate School (Postgraduate Experience) and Deputy Biological Safety Officer. Her academic qualifications include a BSc and MSc in Biomedical Engineering from the University of Bologna (2007–2012). She is an Associate Fellow of the Higher Education Academy (AFHEA, 2020) and has received prestigious funding such as the EPSRC Postdoctoral Fellowship (2017) and a tenure-track fellowship (2021). Her teaching includes courses on Lab-on-Chip Technologies and Engineering Principles. Research interests include mathematical modeling, optimal experimental design, and microfluidics. She leads projects like CONDSYC (EPSRC-funded), focusing on synthetic biology systems design. Her work spans biomolecular systems, cyber-physical platforms, and applications in liver disease and pandemic mitigation. Notable achievements include organizing the Institute for Bioengineering’s seminar series and contributing to datasets like Face coverings and respiratory tract droplet dispersion . Her lab develops tools for quantitative analysis of biological networks and precision medicine.

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Riku Ala-LaurinahoView profile

Researcher

Aalto UniversityFinland

Riku Ala-Laurinaho is a Researcher at Aalto University's Department of Energy and Mechanical Engineering, with a focus on Digital Twin technologies and Industrial Automation. He holds a Master's (2019) and Bachelor's (2018) in Engineering and Technology from Aalto University. His research interests span Digital Twins in industrial contexts, Cyber-Physical Systems, IoT applications, and data-centric systems. He explores semantic-enhanced industrial metaverse frameworks and collaborative design paradigms. Recent work emphasizes context-aware systems, torsional vibration analysis tools, and Human-Centric Manufacturing processes. His publications (16+), including high-impact articles in Journal of Manufacturing Systems and SoftwareX , reflect a focus on industrial innovation. METEX award (2020) Contributions to 5+ open-source datasets (e.g., OpenTorsion, A!ex autonomous car dataset) His advising includes 1 supervised thesis, with grant details pending.

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Akos LedecziView profile

Professor

Vanderbilt UniversityUnited States

Akos Ledeczi is a Professor of Computer Science and Electrical and Computer Engineering at Vanderbilt University's School of Engineering. His research focuses on computer science education and wireless sensor networks (WSN) , with notable contributions to visual programming tools like NetsBlox and anti-poaching systems like WIPER. He holds a Ph.D. from Vanderbilt University and a Diploma from the Technical University of Budapest. His education initiatives include the NetsBlox platform for K-12 STEM education and a popular Coursera MOOC on introductory programming. In WSN, his team developed a countersniper system with real-time shooter localization and a wearable system for military applications. He is also a leader in Model Integrated Computing , creating tools like the Web-based Generic Modeling Environment. Recent work includes NSF-funded projects on cybersecurity education in middle schools and animal-borne acoustic monitoring. His awards include the ACM SenSys Test of Time Award (2014) and the Best Showpiece Award at IEEE VL/HCC (2021). Key grants and collaborations span NSF projects, Vodafone innovation programs, and the Cyber Makerspace initiative. His lab develops tools like DeepForge and RoboScape Online , emphasizing open-source and collaborative platforms. Students supervised include Devin Jean (K-12 tools), Gordon Stein (robotics simulations), and Brian Broll (NetsBlox extensions).

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Amir GhalamzanView profile

Associate Professor

University of SurreyUnited Kingdom

Amir Ghalamzan is an Associate Professor at the University of Surrey's School of Computer Science and Electronic Engineering, leading the Intelligent Manipulation Lab. His research focuses on robot learning, robotic grasping, teleoperation, and agri-food robotics. Previously, he held roles at the University of Lincoln and University of Birmingham. Education: PhD in Robot Learning (Politecnico di Milano, 2015), M.Sc. in Mechanical Engineering (Iran University of Science and Technology, 2009). Research Interests: He addresses real-world challenges like labor shortages in agriculture through robots for extreme conditions, such as strawberry picking. His work integrates advanced perception, AI, and control systems. Notable projects include developing autonomous strawberry-picking robots and haptic-guided teleoperation systems. Key Projects: Led the £310K CERES Agtech project (2020-2021) for autonomous strawberry robots, and contributed to the £1.5M Agri Open-Core project (2023-2027) for open-source harvesting software. Collaborated with institutions like Imperial College London and companies like Saga Robotics. Labs/Teams: Directs the Intelligent Manipulation Lab, focusing on tactile sensors (e.g., AST Skin) and soft robotics innovations.

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Suruz MiahView profile

Associate Professor

University of OttawaCanada

Suruz Miah is an Associate Professor in the Department of Electrical and Computer Engineering at Bradley University and an Adjunct Professor at the University of Ottawa's School of Electrical Engineering and Computer Science. He holds a B.Sc. from Khulna University of Engineering & Technology (Bangladesh) and M.A.Sc./Ph.D. degrees from the University of Ottawa. His research focuses on Cyber-Physical Systems, Optimal Control, Multi-Agent Systems, and RFID Technology. He has held roles including Visiting Associate Professor at Hosei University (Japan), Visiting Research Fellow at DRDC Canada, and Part-Time Professorships at multiple institutions. Education: B.Sc., Computer Science and Engineering, Khulna University of Engineering & Technology (2004) M.A.Sc. and Ph.D., Electrical and Computer Engineering, University of Ottawa (2007, 2012) Research Interests: Dr. Miah specializes in Cyber-Physical Systems, including autonomous robotics, multi-agent coordination, optimal control, and machine learning applications. He leads projects on mobile robot navigation, energy management systems, and RFID-based localization. His work bridges theoretical control systems with practical implementations in robotics and industrial automation. Advising & Collaborations: Advised/co-authored over 20+ student research projects, focusing on reinforcement learning, multi-agent systems, and robotics. Collaborates with institutions like DRDC Canada, Bradley University's Cyber-Physical Systems Lab, and University of Ottawa's MIRaM Lab. Developed open-source frameworks like MAFOSS (Multi-Agent Framework using Open-Source Software) and BEMOSS (Building Energy Management System). Labs & Teams: Principal Investigator at Bradley's Cyber-Physical Systems Lab. Research member of the Machine Intelligence, Robotics, and Mechatronics (MIRaM) Lab at the University of Ottawa.

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Kerstin BunteView profile

Professor

University of GroningenNetherlands

Kerstin Bunte is a Professor of Machine Learning for interdisciplinary data analysis at the University of Groningen, affiliated with the Faculty of Science and Engineering and the Bernoulli Institute's Intelligent Systems Group. She holds an Honorary Fellowship at the University of Birmingham and leads the Intelligent Systems Group. Her research focuses on interpretable machine learning, interdisciplinary applications (e.g., astrophysics and biomedical data), and visualization techniques. Research Interests: - Machine Learning - Artificial Intelligence - Explainable AI (XAI) - Interpretable Models - Dimensionality Reduction - Data Visualization - Astrophysical Data Analysis - Medical Imaging Awards & Grants: - DSSC XS funding (2023) - NWO VIDI grant (2020) - Rosalind Franklin Fellowship (2016–present) Advising & Students: Supervised PhD students include Elisa Oostwal, Janis Norden, Matteo Marcantoni, and Petra Awad. Research spans topics like tumor segmentation in medical imaging, astrophysical structure detection, and autonomous navigation systems. Labs & Collaborations: Leads the Intelligent Systems Group, collaborating with institutions like the University of Birmingham and the University of Warwick. Work involves interdisciplinary projects combining machine learning with astronomy, biomedical sciences, and robotics.

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Luca ManneschiView profile

Lecturer

University of SheffieldUnited Kingdom

Dr Luca Manneschi is a Lecturer in Machine Learning at the School of Computer Science, University of Sheffield, with an IBM Liaison role. He holds a PhD in Physics from the University of Sheffield (2021) and completed a PostDoc there before his current position since March 2022. His research focuses on designing learning algorithms inspired by biological networks for physically defined systems, emphasizing neuromorphic computing, reservoir computing, and stochastic environments. Education: Bachelor's in Physics: University of Padua (Italy) Master's in Physics: Sapienza University of Rome (Italy) PhD in Physics: University of Sheffield (2021) Research Interests: Dr. Manneschi explores algorithms for physically defined networks, leveraging biological network principles to enhance computation in dynamic environments. His work bridges machine learning with neuromorphic hardware, emphasizing adaptability and energy efficiency. Key areas include reservoir computing, magnetic metamaterials, and multi-timescale learning strategies. Grants & Funding: "Real-time Reservoir Computing on Prosthetic Devices" (2023–2025, Royal Society, PI) "MARCH: Magnetic Architectures for Reservoir Computing Hardware" (2021–2025, EPSRC, Co-PI) "CausalXRL: Causal Explanations in Reinforcement Learning" (2021–2024, EPSRC, Co-PI) "ActiveAI" (2019–2024, EPSRC, Co-PI) Lab/Team Affiliation: Machine Learning Research Group, School of Computer Science.

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Andrew StrattonView profile

Senior Lecturer

University of SheffieldUnited Kingdom

Andrew Stratton is a Senior University Teacher in the Department of Computer Science at the University of Sheffield, affiliated with the Institute of Coding. He leads the Student Enterprises initiative, building on Genesys Software Company experience to benefit universities, industry, and students. With 12+ years as a lecturer/researcher and equivalent industry experience in Java-based object-oriented software engineering, he emphasizes industry practice relevance in software development education. His research focuses on the Quando toolset enabling visual end-user development for non-programmers, initially co-designed with museum staff for creating digital interactive exhibits. Qualifications include: Postgraduate Certificate in Teaching and Learning in Higher Education (Fellow HEA), Sheffield Hallam University (2013-14) Diploma in Literature and Creative Writing, Open University (2009-11) MSc in Computer Science: New Generation Computing, Exeter University (1988-1989) Polytechnic Graduate Diploma in Computer Studies (BSc Hons. equivalent), Leicester Polytechnic (1987-1988) HND Computer Studies, Portsmouth Polytechnic (1985-1987) His publications demonstrate sustained focus on educational innovation, human-computer interaction, and tools for non-programmers. Recent work shows expanding interest in robotics inclusivity and museum technology applications. Professional activities include conference organization and editorial roles for computing education publications.

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Marianne BradfordView profile

Professor

North Carolina State UniversityUnited States

Marianne Bradford is a Professor of Accounting at the Department of Accounting, North Carolina State University, within the Poole College of Management. She holds a Ph.D. in Accounting from the University of Tennessee (2001). Her research focuses on Enterprise Resource Planning (ERP) systems, data security and classification, audit technology, and sustainability reporting. She has contributed to studies such as 'The Critical First Step to Data Security' (2021), emphasizing the role of management accountants in defining security KPIs, and has been recognized with the Best Education Paper Award (2010). Her academic work spans ERP implementation strategies, robotic process automation governance, and the application of AI tools like ChatGPT in accounting education. She collaborates with organizations like SAP, integrating ERP modules into curricula, and has advised on ERP post-implementation maintenance and identity access management. Her engagement with industry challenges includes analyzing barriers to generalized audit software adoption and exploring stakeholder expectations in sustainability reporting. Bradford is affiliated with the Business Analytics and AI Initiative (BAI) and contributes to the Poole College's thought leadership through publications in the ISACA Journal and articles in Strategic Finance. Her teaching emphasizes ERP systems and process mapping, reflecting her commitment to bridging academic research with practical business solutions.

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Angela E.B. StewartView profile

Assistant Professor

University of PittsburghUnited States

Dr. Angela E.B. Stewart is an Assistant Professor in the Department of Informatics and Networked Systems at the University of Pittsburgh's School of Computing and Information, with a joint appointment in the Learning Research and Development Center. She holds a PhD in Computer Science from the University of Colorado Boulder (2020) and a Bachelor of Software Engineering from Auburn University (2015). Her research focuses on computing education equity, culturally-responsive technology, and social computing. She designs technologies to support marginalized groups, particularly Black girls in transformative AI design, applying culturally-responsive frameworks to foster agency in education. Dr. Stewart's work bridges learning sciences, AI, and human-computer interaction. She analyzes multimodal data (e.g., speech, gaze, collaboration patterns) to understand student social/cognitive states in STEM learning. Notable contributions include the CPSCoach feedback system for collaborative problem-solving and the Black Girls' Computing Classroom initiative. She emphasizes equitable design in CHI and AI ethics education, advocating for allyship in tech spaces. Education: PhD in Computer Science, University of Colorado Boulder (2020) Bachelor of Software Engineering, Auburn University (2015) Publications highlight her focus on collaborative learning analytics, culturally-responsive computing, and ethical AI education. She was honored as a 2021-2022 Emerging Scholar by the International Society of the Learning Sciences. Current projects explore participatory AI design with marginalized voices and scalable equity frameworks in social computing education.

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Yaoping HuView profile

Professor

University of CalgaryCanada

Yaoping Hu is a Professor in the Department of Electrical and Software Engineering at the Schulich School of Engineering, University of Calgary, and an Associate Member of the Hotchkiss Brain Institute. He holds a Ph.D. in Robotics and Neuroscience from the University of Western Ontario. His research focuses on Human-Computer Interaction within Virtual Environments, particularly in Brain-Machine Interfaces, multisensory user interaction in XR, and immersive analytics. He teaches courses such as ENSF 619.36 (Brain-Machine Interface Systems), ENSF 519.51 (Brain-Machine Interfaces), ENEL 602 (Virtual Environments), and ENSF 545 (Introduction to VR). Research interests include modeling neural mechanisms for visuomotor processes, cognitive-ergonomic interaction design, and applications in surgical planning, data visualization, and human-machine collaboration. He leads the Visualization and Interaction Laboratory, collaborating with institutions like the neuroArm Project, Fluid Dynamics Group, and international partners in France. Past and current students include Stanley Tarng, Lida Ghaemi Dizaji, and Aida Erfanian. His work spans projects like neuroSim (a surgical simulator) and BioVista (biofilm visualization tools). Collaborations with industry partners such as Nova Chemicals and Calgary Scientific Inc. support applied research in complex data analysis and virtual reality systems.

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