Research outputs

• Andreadakis S and Benjamin L, 'Corporate Governance and Climate Change: Smoothing Temporal Dissonance to a Phased Approach' (2019) Business Law Review, 40(4), 146 - 160
• Andreadakis S, ‘Enhancing Whistleblower Protection: It’s all about the Culture’ (2019) European Business Law Review, 30(6), 859 – 880
• Andreadakis S and Morrison S, ‘Whistleblowers under the Spotlight: The cases of Japan and the UK’ (2016) 3(4) European Journal of Comparative Law and Governance 353-384
• Braganza, A., Chen, W., Canhoto, A. I. & Sap, S. (in press) Productive Employment and Decent Work: TheImpact of AI Adoption on Psychological Contracts, Job Engagement and Employee Trust, Journal of Business Research https://doi.org/10.1016/j.jbusres.2020.08.018
• H Al-Ghanem, N., Braganza, A., & Aldhean, E. (2020). Distributed Leadership in Transformation Initiatives: The Emergence of Network Leadership. International Journal of Accounting & Finance Review, 5(1), 51-65. doi:10.46281/ijafr.v5i1.524
• Braganza, A. (2018). The challenges of artificial intelligence. International Corporate Rescue, 15(2). Braganza, A., Brooks, L., Nepelski, D., Ali, M., & Moro, R. (2016). Resource management in Big Data initiatives: processes and dynamic capabilities. Journal of Business Research, 70(January), 328-337. doi:10.1016/j.jbusres.2016.08.006
• Castillo, D., Canhoto, A. I. & Said, A. (in press), The Dark Side of AI-powered Service Interactions:Exploring the process of co-destruction from the customer perspective; The Service Industries Journal, https://doi.org/10.1080/02642069.2020.1787993
• Ball, K., Canhoto, A. I., Daniel, E., Dibb, S., Meadows, M. & Spiller, K. (2020). Organizational tensions arising from mandatory data exchange between the private and public sector: The case of financial services. Technological Forecasting & Social Change, 155 (June) https://doi.org/10.1016/j.techfore.2020.119996
• Canhoto, A. I. (forthcoming). Leveraging machine learning in the global fight against money laundering and terrorism financing: an affordances perspective. Journal of Business Research.
• Canhoto, A. I. & Clear, F. (2020). Artificial Intelligence and Machine Learning as business tools: factors influencing value creation and value destruction. Business Horizons, 63(1), pp. 183-193. https://doi.org/10.1016/j.bushor.2019.11.003
• De Pascalis, F. (2019). Conduct risk: Meaning, interpretation and dissension. European Business Law Review, 30(6), pp. 947-964.
• De Pascalis, F. (2018). Sales culture and misconduct in the financial services industry: An analysis of cross-selling practices. Business Law Review, 39(5), pp 150-159.
• Iacovidou, E., Millward-Hopkins, J., Busch, J., Purnell, P., Velis, C. A., Hahladakis, J. N., & Brown, A. (2017). A pathway to circular economy: Developing a conceptual framework for complex value assessment of resources recovered from waste. Journal of Cleaner Production, 168, 1279-1288. doi:10.1016/j.jclepro.2017.09.002
• Iacovidou, E., Purnell, P., & Lim, M. K. (2017). The use of smart technologies in enabling construction components reuse: A viable method or a problem creating solution? Journal of Environmental Management, 216(15), 214-223. doi:10.1016/j.jenvman.2017.04.093
• Iacovidou, E., & Purnell, P. (2016). Mining the physical infrastructure: Opportunities, barriers and interventions in promoting structural components reuse. Science of the Total Environment, 557-558, 791-807. doi:10.1016/j.scitotenv.2016.03.098
• Gikay, A.(2021). The American —Way Until Machine Learning Algorithm Beats the Law? Algorithmic Consumer Credit Scoring in the EU and US. Case Western Reserve Journal of Law, Technology & the Internet, 12(2021) (Forthcoming), https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3671488.
• Gikay A. (2019). European Consumer Law and Blockchain based Financial Services: A Functional Approach against the Rhetoric of Regulatory Uncertainty. Tilburg Law Review 24(1), pp. 27–48.
• Gikay, A. (2018). Regulating Decentralized Cryptocurrencies under Payment Services Law: Lessons from the European Union. Case Western Reserve Journal of Law Technology & Internet 9(1), pp. 1-37. Norris, E., Marques, MM., Finnerty, AN., Wright, AJ., West, R., Hastings, J., et al. (2020) Development of an Intervention Setting Ontology for behaviour change: Specifying where interventions take place. Wellcome Open Research, 5 (124). pp. 124 - 124.
• Norris, E., Finnerty, AN., Hastings, J., Stokes, G. and Michie, S. (2019) A scoping review of ontologies related to human behaviour change. Nature Human Behaviour, 3 (2). pp. 164 - 172. ISSN: 2397-3374
• Wright, AJ., Norris, E., Finnerty, AN., Marques, MM., Johnston, M., Kelly, MP., et al. (2020) 'Ontologies relevant to behaviour change interventions: a method for their development'. Wellcome Open Research, 5 (126). pp. 1 - 17.
• Marques, MM., Carey, RN., Norris, E., Evans, F., Finnerty, AN., Hastings, J., et al. (2020) Delivering Behaviour Change Interventions: Development of a Mode of Delivery Ontology. Wellcome Open Research, 5. pp. 125 - 125.
• Bonin, F., Finnerty, A., Moore, C., Jochim, C., Norris, E., Hou, Y., et al. (2020) HBCP Corpus: A New Resource for the Analysis of Behaviour Change Intervention Reports. Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020). pp. 1967 - 1975.
• Merendino, A., Dibb, S., Meadows, M., Quinn, L., Wilson, D., Simkin, L. & Canhoto, A. I., (2018). Big Data, Big Decisions: The Impact of Big Data on Board Level Decision-Making. Journal of Business Research, 93(December), 67-78.
• Quinton, S., Canhoto, A.I., Pera, R., Budhathoki, T. & Molinillo, S. (2018). Conceptualising a digital orientation: antecedents supporting SME performance in the digital economy, Journal of Strategic Marketing, 26(5), 427-439.
• Quinn, L., Dibb, S., Simkin, L., Canhoto, A. I. & Analogbei, M. (2016). Troubled Waters: The Transformation of Marketing in a Digital World. European Journal of Marketing, 50(12), 2103-2133.
• Berti, M. and Simpson, AV. 2020, 'On the practicality of resisting pragmatic paradoxes'. Academy of Management Review. pp. 1 – 10. ISSN: 0363-7425 (published online ahead of print).
• Berti, M. and Simpson, AV. 2020, 'The dark side of organizational paradoxes: The dynamics of disempowerment'. Academy of Management Review. pp. 1 – 57. ISSN: 1930-3807 (published online ahead of print).
• Simpson, A.V., Reddy, P. & Farr-Wharton, B. 2020, ‘Cultivating organizational compassion in healthcare', Journal of Management and Organizations, vol. 26, no. 3, pp. 340-354.
• Rego, A., Owens, B., Yam, K.C., Bluhm, D., Cunha, M.P., Silard, A., Gonalves, L., Martins, M., Simpson, A.V. & Liu, W. 2019, ‘Leader humility and team performance: Exploring the mechanisms of team PsyCap and task allocation effectiveness’. Journal of Management, vol. 45, no. 3, pp. 1009-1033.
• Simpson, A.V. & Berti, M. 2019, 'Transcending paradoxes of organizational compassion by enacting wise compassion courageously', Journal of Management Inquiry, vol. 12, no. 1, pp. 16 - 39.
• Du, L., Wang Z., Wang L., Zhao, Z. Su, F., Zhuang, B., Boulgouris, N. V., Adaptive visual interaction based multi-target future state prediction for autonomous driving vehicles, IEEE Transactions on Vehicular Technology 68 (5), 4249-4261, 2019.
• Lowe, P. S., Sanderson, R., Boulgouris, N. V., Haig, A., and Balachandran, W., "Inspection of cylindrical structures using the first longitudinal guided wave mode in isolation for higher flaw sensitivity", IEEE Sensors, vol 16, no 3, pp 706-714, February 2016.
• Kitsikidis, A. Boulgouris, N. V., Dimitropoulos, K., and Grammalidis, N., “Unsupervised Dance Motion Patterns Classification from Fused Skeletal Data using Exemplar-based HMMs”, International Journal of Heritage in the Digital Era, vol. 4, no 2, pp 209-220, 2015.
• Liu, S., Liu, J., Zhao, Q., Cao, X., Li, H., Meng, D., Meng, H., Liu S. (2020) 'Discovering Influential Factors in Variational Autoencoders'. Pattern Recognition, 100 (April 2020). pp. 107166 - 107166.
• Lei, T., Jia, X., Liu, T., Liu, S., Meng, H. and Nandi, A. (2019) 'Adaptive Morphological Reconstruction for Seeded Image Segmentation.'. IEEE Transaction on Image Processing, 28. pp. 5510 - 5523.
• Lei, T., Liu, P., Jia, X., Zhang, X., Meng, H. and Nandi, A. (2019) 'Automatic Fuzzy Clustering Framework for Image Segmentation'. IEEE Transactions on Fuzzy Systems. pp. 1 - 1. (early access)
• Lei, T., Jia, X., Zhang, Y., Liu, S., Meng, H. and Nandi, A. (2018) 'Superpixel-based Fast Fuzzy C-Means Clustering for Color Image Segmentation'. IEEE Transactions on Fuzzy Systems, 27 (9). pp. 1753 - 1766.
• Zhang, Z., Chen, T., Meng, H., Liu, G. and Fu, X. (2018) 'SMEConvNet: A Convolutional Neural Network for Spotting Spontaneous Facial Micro-Expression from Long Videos'. IEEE Access, 6. pp. 71143 - 71151.
• Lei, T., Jia, X., Zhang, Y., He, L., Meng, H. and Nandi, A. (2018) 'Significantly Fast and Robust Fuzzy C-Means Clustering Algorithm Based on Morphological Reconstruction and Membership Filtering'. IEEE Transactions on Fuzzy Systems, 26 (5). pp. 3027 - 3041.
• Huda, M. N. and H. Yu “Trajectory tracking control of an underactuated capsubot,” Autonomous Robots, vol. 39, no. 2, pp. 183-198, 2015.
• Huda, M. N., H. Yu and S. Cang “A behaviour-based control approach for the trajectory tracking of an underactuated planar capsule robot,” IET Control Theory and Applications, vol. 9, no. 2, pp. 163–175, 2014.
• Huda, M. N. and H. Yu “Robots for Minimally Invasive Diagnosis and Intervention,” Robotics and Computer-Integrated Manufacturing, vol. 41, pp. 127-144, 2016.
• P. Liu, Huda, M. N., Z. Tang, L. Sun “A self-propelled robotic system with a visco-elastic joint: dynamics and motion analysis” Engineering with Computers, pp. 1-15, 2019
• Huda, M. N., H. Yu, and S. O. Wane,”Self-contained capsubot propulsion mechanism,” International Journal of Automation and Computing, vol. 8, no. 3, pp. 348-356, 2011.
• Huda, M. N., P. Liu, C. Saha and H. Yu “Modelling and Motion Analysis of a Pill-Sized Hybrid Capsule Robot,” Journal of Intelligent & Robotic Systems, pp. 1-12, 2020.
• Ahmed, S., Huda, M. N., Rajbhandari, S., Saha, C. & Kanarachos, S. “Pedestrian/Cyclist Detection and Intent Prediction for Autonomous Vehicles: A Survey” Applied Sciences, vol. 9, no. 11, pp. 23-35, 2019.
• Samuel, R., & Kanji, S. 2020. Valuing creativity, feeling overworked and working hours: Male workers and the New Spirit of Capitalism. Time & Society, 29(1), 51–73.
• Moor, L and Kanji, S. 2019. Money and relationships online: distribution, communication and norm formation in household resource allocation practices. British Journal of Sociology, 70(3)948-968.
• Kanji, S, 2018. Grandparent care: A key factor in mothers’ labour force participation in the UK. Journal of Social Policy, 47(3) 523-542
• Kanji, S and Samuel, R. 2017. Male breadwinning revisited: how specialisation, gender role attitudes and work characteristics affect overwork and underwork in Europe. Sociology, 51(2), 339–356.
• Helbling, L. & Kanji, S. 2018. Job Insecurity: Differential Effects of Subjective and Objective Measures on Life Satisfaction Trajectories of Workers Aged 27–30 in Germany. Social Indicators Research 137, 1145-1162.
• Brook, PA, Beck, V, Carter, R, Clark I, Danford, A,Hammer, N, Kanji, S, Simms, M. 2016. Work, Employment and Society sans frontières: extending and deepening our reach. Work, Employment and Society 30(2), 211-219.
• Muammar Sadrawi, Yin-Tsong Lin, Chien-Hung Lin, Bhekumuzi Mathunjwa, Shou-Zen Fan, Maysam F. Abbod, Jiann-Shing Shieh*, “Genetic Deep Convolutional Autoencoder Applied for Generative Continuous Arterial Blood Pressure via Photoplethysmography”, Sensors (accepted, 2020) (SCI, IF = 3.275, , Ranking = 15/64, from 2019 ISI Database,
• Yu-Hsuan Liao, Chung-Hung Shih, Maysam F. Abbod, Jiann-Shing Shieh, and Yu-Jen Hsiao, “Development of an E-nose System using Machine Learning Methods to Predict Ventilator-Associated Pneumonia,” (accepted, 2020)
• Yu-Hsuan Liao, Yu-Ning Yu, Maysam F. Abbod, Chung-Hung Shih, and Jiann-Shing Shieh, “Using Artificial Neural Network to Predict a Variety of Pathogenic Microorganisms”, Sensors and Materials, Vol. 32, No. 7(2), pp. 2375-2385.
• Singh RSS, Chiew WY, Singh BSS, Abbod M. A new fault detection system using wireless communication - assisted with analog relays for grid electrical lamp pole network. Journal of Theoretical and Applied Information Technology 97(8):2359-2369, 30 Apr 2019.
• Ranjit RSS, Indian Journal of Public Health Research and Development 9(12):1678-1684 01 Dec 2018.
• Abbod M, Research and integration of IoT based solar photovoltaic panel health monitoring system.
• Quan Liu, Li Ma, Shou-Zen Fan, Maysam F. Abbod, Cheng-Wei Lu, Tzu-Yu Lin, Kuo-Kuang Jen, Shang-Ju Wu, Jiann-Shing Shieh, “Design and Evaluation of a Real Time Physiological Signals Acquisition System Implemented in Multi-Operating Rooms for Anesthesia”, Journal of Medical Systems, 42:148, 19 pages (2018)
• Quan Liu, Li Ma, Shou-Zen Fan, Maysam F. Abbod, Qingsong Ai, Kun Chen and Jiann-Shing Shieh, (2018). “Frontal EEG Temporal and Spectral Dynamics Similarity Analysis between Propofol and Desflurane Induced Anesthesia using Hilbert-Huang Transform”, BioMed Research International
• Alaraj, M., Abbod, M. and Radi, M. (2018) 'The applicability of credit-scoring models in emerging economies: Evidence from Jordan'. International Journal of Islamic and Middle Eastern Finance and Management.
• S Almajid, M Abbod and H Al-Raweshidy, A Novel Maximum Power Point Tracking Technique based on Fuzzy logic for Photovoltaic Systems, International Journal of Hydrogen Energy, 2018.
• Quan Liu, Li Ma, Shou-Zen Fan, Maysam F. Abbod and Jiann-Shing Shieh*, “Sample entropy analysis for the estimating depth of anaesthesia through human EEG signal at different levels of unconsciousness during surgeries”, PeerJ, 6:e4817 (2018).
• Khodapanah M, Zobaa AF, Abbod M, Estimating power factor of induction motors at any loading conditions using support vector regression (SVR), Electrical Engineering 1-10 27 Jul 2018.
• Quan Liu, Li Ma, Shou-Zen Fan, Maysam F. Abbod, Cheng-Wei Lu, Tzu-Yu Lin, Kuo-Kuang Jen, Shang-Ju Wu, Jiann-Shing Shieh, “Design and Evaluation of a Real Time Physiological Signals Acquisition System Implemented in Multi-Operating Rooms for Anesthesia”, Journal of Medical Systems, 42:148, 19 pages (2018)
• Quan Liu, Li Ma, Shou-Zen Fan, Maysam F. Abbod, Qingsong Ai, Kun Chen and Jiann-Shing Shieh, (2018). “Frontal EEG Temporal and Spectral Dynamics Similarity Analysis between Propofol and Desflurane Induced Anesthesia using Hilbert-Huang Transform”, BioMed Research International (IF=2.583).
• Alaraj, M., Abbod, M. and Radi, M. (2018) 'The applicability of credit-scoring models in emerging economies: Evidence from Jordan'. International Journal of Islamic and Middle Eastern Finance and Management.
• S Almajid, M Abbod and H Al-Raweshidy, A Novel Maximum Power Point Tracking Technique based on Fuzzy logic for Photovoltaic Systems, International Journal of Hydrogen Energy, 2018, Accepted.
• Periklis Katopodis , Qiduo Dong , Heerni Halai , Cristian I. Fratila, Andreas Polychronis, Vladimir Anikin , Cristina Sisu, Emmanouil Karteris. Identification of XIST as a key player in a collective diagnostic biomarkers panel in lung cancer. Cancers (2020) Under Review
• Raquel Sales Gil , Ines de Castro , Hasnat Amin , Christos Spanos , Veronica Vinciotti , Juri Rappsilber , Cristina Sisu, Paola Vagnarelli. Non-redundant functions of H2A.Z.1 and H2A.Z.2 in chromosome segregation and cell cycle progression. (2020) Submitted.
• Cristina Sisu, Paul Muir, Adam Frankish, Ian Fiddes, Mark Diekhans, David Thybert, Duncan T Odom, Paul Flicek, Thomas Keane, Tim Hubbard, Jennifer Harrow, Mark Gerstein. Transcriptional activity and strain-specific history of mouse pseudogenes. Nature Communications 2020 (Published 29th July 2020) DOI. 10.1038/s41467-020-17157-w
• Concetta Federico, Temitayo Owoka, Denise Ragusa, Valentina Sturiale, Domenica Caponnetto, Claudia Giovanna Leotta, Francesca Bruno, Helen A Foster, Silvia Rigamonti, Giovanni Giudici, Giovanni Cazzaniga, Joanna M Bridger, Cristina Sisu, Salvatore Saccone, Sabrina Tosi. Deletions of Chromosome 7q affect nuclear organization and HLXB9 Gene expression in hematological disorders. Cancers 11(4) 585 (2019)
• Dimple Chudasama, Periklis Katopodis, Nick Stone, Jennifer Haskell, Hannah Sheridan, Benjamin Gardner, Howard Urnovitz, Ekkehard Schuetz, Julia Beck, Marcia Hall, James Barr, Cristina Sisu, Alexandra Rice, Andreas Polychronis, Vladimir Anikin, Emmanouil Karteris. Liquid biopsies in lung cancer: Four emerging technologies and potential clinical applications. Cancers 11(3) 331 (2019)
• Adam Frankish, Mark Diekhans, Anne-Maud Ferreira, Rory Johnson, Irwin Jungreis, Jane Loveland, Jonathan M Mudge, Cristina Sisu, James Wright, Joel Armstrong, If Barnes, Andrew Berry, Alexandra Bignell, Silvia Carbonell Sala, Jacqueline Chrast, Fiona Cunningham, Tomás Di Domenico, Sarah Donaldson, Ian T Fiddes, Carlos García Girón, Jose Manuel Gonzalez, Tiago Grego, Matthew Hardy, Thibaut Hourlier, Toby Hunt, Osagie G Izuogu, Julien Lagarde, Fergal J Martin, Laura Martínez, Shamika Mohanan, Paul Muir, Fabio C P Navarro, Anne Parker, Baikang Pei, Fernando Pozo, Magali Ruffier, Bianca M Schmitt, Eloise Stapleton, Marie-Marthe Suner, Irina Sycheva, Barbara Uszczynska-Ratajczak, Jinuri Xu, Andrew Yates, Daniel Zerbino, Yan Zhang, Bronwen Aken, Jyoti S Choudhary, Mark Gerstein, Roderic Guigó, Tim J P Hubbard, Manolis Kellis, Benedict Paten, Alexandre Reymond, Michael L Tress, Paul Flicek. GENCODE reference annotation for the human and mouse genomes. Nucleic Acids Research. 47(D1) D766-D773 (2019)
• Karly‑Rai Rogers‑Broadway, Juhi Kumar, Cristina Sisu, Gurleen Wander, Emily Mazey, Jeyarooban Jeyaneethi, George Pados, Dimitris Tsolakidis, Eleftherios Klonos, Thomas Grunt, Marcia Hall, Jayanta Chatterjee, Emmanouil Karteris. Differential expression of mTOR components in endometriosis and ovarian cancer: Effects of rapalogues and dual kinase inhibitors on mTORC1 and mTORC2 stoichiometry. International journal of molecular medicine. 43(1) 47-56 (2019)
• Jingtao Lilue, Anthony G Doran, Ian T Fiddes, Monica Abrudan, Joel Armstrong, Ruth Bennett, William Chow, Joanna Collins, Stephan Collins, Anne Czechanski, Petr Danecek, Mark Diekhans, Dirk-Dominik Dolle, Matt Dunn, Richard Durbin, Dent Earl, Anne Ferguson-Smith, Paul Flicek, Jonathan Flint, Adam Frankish, Beiyuan Fu, Mark Gerstein, James Gilbert, Leo Goodstadt, Jennifer Harrow, Kerstin Howe, Ximena Ibarra-Soria, Mikhail Kolmogorov, Chris J Lelliott, Darren W Logan, Jane Loveland, Clayton E Mathews, Richard Mott, Paul Muir, Stefanie Nachtweide, Fabio CP Navarro, Duncan T Odom, Naomi Park, Sarah Pelan, Son K Pham, Mike Quail, Laura Reinholdt, Lars Romoth, Lesley Shirley, Cristina Sisu, Marcela Sjoberg-Herrera, Mario Stanke, Charles Steward, Mark Thomas, Glen Threadgold, David Thybert, James Torrance, Kim Wong, Jonathan Wood, Binnaz Yalcin, Fengtang Yang, David J Adams, Benedict Paten, Thomas M Keane. Sixteen diverse laboratory mouse reference genomes define strain-specific haplotypes and novel functional loci. Nature genetics 50(11) 1574-1583 (2018)
• David Thybert, Maša Roller, Fábio CP Navarro, Ian Fiddes, Ian Streeter, Christine Feig, David Martin-Galvez, Mikhail Kolmogorov, Václav Janoušek, Wasiu Akanni, Bronwen Aken, Sarah Aldridge, Varshith Chakrapani, William Chow, Laura Clarke, Carla Cummins, Anthony Doran, Matthew Dunn, Leo Goodstadt, Kerstin Howe, Matthew Howell, Ambre-Aurore Josselin, Robert C Karn, Christina M Laukaitis, Lilue Jingtao, Fergal Martin, Matthieu Muffato, Stefanie Nachtweide, Michael A Quail, Cristina Sisu, Mario Stanke, Klara Stefflova, Cock Van Oosterhout, Frederic Veyrunes, Ben Ward, Fengtang Yang, Golbahar Yazdanifar, Amonida Zadissa, David J Adams, Alvis Brazma, Mark Gerstein, Benedict Paten, Son Pham, Thomas M Keane, Duncan T Odom, Paul Flicek. Repeat associated mechanisms of genome evolution and function revealed by the Mus caroli and Mus pahari genomes. Genome Research 28(4) 448-459 (2018)
• Martin OV, Scholze M, Ermler S et al (2020) Ten years of research on synergisms and antagonisms in chemical mixtures: a systematic review. Environment International (under review).
• Groh KJ, Geuke B, Martin OV et al (2020) Overview of intentionally used food contact chemicals and their hazards. Environment International (under review). Whaley P, Aiassa E, Beausoleil C et al (2020) Recommendations for the conduct of systematic reviews in toxicology and environmental health research (COSTER). Environment International (accepted)
• Kortenkamp A, Axelstad M, Baig AH et al (2020) Removing Critical Gaps in Chemical Test Methods by Developing New Assays for the Identification of Thyroid Hormone System-Disrupting Chemicals—The ATHENA Project. International Journal of Molecular Science, 21, 3123 ; https://doi.org/10.3390/ijms21093123
• Muncke J, Andersson A, Backhaus T et al (2020) Impacts of food contact chemicals on human health: a consensus statement. Environmental Health. 19, 25. https://doi.org/10.1186/s12940-020-0572-5
• Nandy, M, Lodh, S, Wang, J and Kaur, J (2020) “Does lobbying of firms complement executive networks in determining executive compensation?” International Journal of Finance & Economics (Accepted)
• Nandy, M., Lodh, S and Caporale, G (2018) “How has the global financial crisis affected syndicated loan terms in emerging markets? Evidence from China”, International Journal of Finance & Economics
• Nandy, M. Bozhkov,S. Lee, H. Sivarajah, U and Despoudi, S. (2018) “Idiosyncratic Risk and the Cross-section of Stock Returns: The Role of Mean-Reverting Idiosyncratic Volatility” . Annals of Operations Research
• Nandy, M. Lodh, S and Chaney, P. (2019) “How does culture impinge upon managers’ demeanor of earnings management? Evidence from cross-country analysis” , The International Journal of Accounting (Accepted)
• Braam,G.J.M, Nandy, M.,Weitzel, U., and Lodh, S.(2015) "Accrual-based and Real Earnings Management and Political Connections", The International Journal of Accounting Vol. 50(2), pp. 111–141

• Bosher, H. Copyright in the Music Industry: A Practical Guide to Exploiting and Enforcing Rights (Edward Elgar) March 2021 Bosher, H. Law, Technology and Cognition (Routledge, 2019)
• Nandy, M and Lodh, S (2020): Book Chapter: “Application of Artificial Intelligence by Business in Post Covid-19 Period” in the book titled Intelligent Systems and Methods to Combat Covid-19” ( from SpringerBriefs) (Accepted)
• Nandy, M and Lodh, S (2020): Book Chapter: “Impact of Cognitive abilities on direct and indirect stock market participation before and after crisis” in the book titled “Financial Crises: Types, Causes and Consequences" (Accepted)
• Nandy, M. and Lodh, S (2017): Book Chapter: “The Impact of International Financial Reporting Standards adoption on Earnings Management: Evidence from EU countries”, Nova Science Publishers, Inc Understanding Bankruptcy: Global Issues, Perspectives and Challenges

• Bosher H, Gurgula O, Stokes S, Wang F, Westenberger P, WIPO Impact of Artificial Intelligence on IP Policy Response from Brunel University London, Law School & Centre for Artificial Intelligence (2020)

Response of Brunel Law School & Centre for Artificial Intelligence, Dr Hayleigh Bosher

The UK Intellectual Property Office sought views on the implications artificial intelligence might have for IP policy. Hayleigh’s evidence argues that: 

1. The analogy of copying someone’s work inside a human brain, is not an appropriate way of considering whether copyright protected works are infringed by AI.
2. The test for copyright infringement in these circumstances needs to be adapted, in that it focuses on the AI ‘Producers’ (meaning the person responsible) activities (such as data input) rather than the output.
3. It should be clarified in what circumstances the current copyright exceptions apply to AI processes.
4. It needs to be considered whether or not private agreements could or should be made above or below any policy decision as to the ownership of copyright in AI-generated works.
5. There should be a distinction between AI-assisted works and AI-generated works.
6. Additional rights should be considered such as performance and moral rights. 

Read the full paper here.

• Samuel Fosso Wamba; Maciel M. Queiroz; Ashley Braganza (30/11/2019) AI in Operations and Supply Chain Management: Cutting-edge Technologies Creating Value in the Digitalisation Age, Journal: Production Planning and Control, ABS (3*)
• Samuel Fosso Wamba; Maciel M. Queiroz; Ashley Braganza (15/02/2020) Artificial Intelligence in Operations Management, Journal: Annals of Operations Research, ABS (3*)
• Tillson, J and Aldridge, D (eds) (2018) ‘Cheating Education: The coherence and desirability of technological human enhancement in educational contexts’, Educational Theory 68:6
• Simpson, A.V., Panayiotou, A., Berti, M., Cunha, M.P., Kanji, S. and Clegg, S. (2021) Improvising as the New Normal during the Covid-19 Pandemic: Organizational learning-by-responding, power and paradox. Management Learning.

• Braganza, Ashley, Chen, Weifeng and Canhoto, Ana Gigification of work – the effects of AI on jobs £10,000 GCRF completed
• Braganza, Ashley and Chen, Weifeng Health Care in India and UK – the impact of AI on Productivity, Employability and Business Models in Health Care Services £ 85,000 British Council and Ministry of Human Resource Development, Government of India (ongoing)
• Braganza, Ashley, Chen, Weifeng and Canhoto, Ana Wealth Creator, Destroyer or Both? – examines the first, second and third order effects of AI £ 20,000 GCRF (ongoing)
• Braganza, Ashley, Dora, Manoj and Mullins, Steve Employability skills – creating an employability curriculum to develop skills for the AI sector £ 120,000 Brisith Council / Ministry of Skill Development and Entrepreneurship, Government of India (ongoing)
• Canhoto, A.I. and Wei, Liyuan. UK residents’ perceptions of the COVID-19 contact tracing app - £500. Entrepreneurship and Sustainability Research Cluster (ongoing)
• Dr H. Meng, Dr T. Kalganova, Intel Corporation, Spiking Sparse Distributed Memory Model and Its Implementation on Loihi Architecture, US$1,000 (2018-2020)
• Dr H. Meng, Royal Society and National Natural Science Foundation of China (NSFC) - Differential Geometry and Deep Learning for Dynamic Facial Expression Analysis, £12,000 (2017-2019).
• Dr H. Meng, EPSRC - Image Analysis for Complex Data in Non Destructive Testing, Industrial CASE project with TWI Ltd. £96,413, (2016 – 2019).
• Dr T. Kalganova , Dr I. Dear, Dr. M. Abbod, European Commission, Modernization of Doctoral Education in Science and improvement of Teaching Methodologies: MODEST, £55,500 (2018-2021)
• Dr T Kalganova European Commission, Development of Doctoral Education and Research Capacities of Kyrgyzstani Academia (DERECKA) - £77.500 (2020-2023)
• Dr A Mousavi, Dr T Kalganova, AFSOR, Cognitively Inspired Agile Information and Knowledge Modelling (CALM) $409,000 (2020-2022)
• Dr T. Kalganova, A Mousavi, US AFWERX, Microelectronics Supply Chain Provenance, £293,193 (2019) Dr T. Kalganova Intel Corporation, Autonomous Supply Chain, £66,818 (2020)
• Dr T. Kalganova, Small Robot Company, Design and Implementation of AI system for fast and reliable week control, £45,000 (2020 – 2023)
• M. N. Huda Coventry University (Cross-Centre International and Interdisciplinary Project Fund) “Development of a capsule robot for medical applications” worth of £10K in 2018-19. 
• Canhoto, A. I. Using social media to develop doctoral researchers’ profiles, and the visibility of their research. TECHNE £740
• Canhoto, A. I. The potential and limitations of contextual marketing for new ventures. PARSUK worth Eur 2,000

• AI shaping pharma in real time, 28th January 2021
• Theory and tools of AI, 3rd February 2021
• Gigification, Psychological Contracts and AI, 23rd February 2021
• Applications of AI, 3rd March 2021
• AI in organisational contexts, 18th March 2021
• Business Models and AI, 23rd March 2021
• AI Case Study, 14th April 20201
• Business Culture, Leadership Management and AI, 22nd April 2021
• Issues of responsibility and intellectual property in AI, and Introduction to AI ethics, 12th May 2021
• AI and Connecting Generations: Effects at Individual, Organisational and Societal Levels – Research Seminar series 
• Industrial Applications of Artificial Intelligence – Research seminars series 
• B:RAI 2020: Brunel: Robotics & AI Expo, 26th November 2020, in collaboration with BRES: Brunel Robotics Society