Our faculty

Dr Nandini Sinha is an Associate Professor and Programme Chair at the Presidency School of Management, Bengaluru, with over 24 years of combined experience spanning academia, corporate training, and human resource development. Her academic domain encompasses Organisational Behaviour, Human Resource Management, Leadership, and Work-Life Balance, and she has delivered Management Development Programmes for prominent organisations including NTPC, AIRTEL, SECL, and the Bihar Chamber of Commerce, as well as Faculty Development Programmes at Army Public Schools across India. A UGC-NET qualified researcher, she has been recognised for doctoral research excellence — winning second place at the I.M. Nanavati Research Award at GLS University — and has taught at Amity University and Nirma University in Ahmedabad before joining Presidency University. Her broad management expertise and her capacity to bridge academic rigour with practical professional application make her an ideal guide for MBA students navigating the Fundamentals of Senior Management.

Dr Prathima Murali is a Senior Faculty member in the General Management department at MBA ESG India, part of Galileo Global Education — Europe's largest network of private higher education institutions, with campuses and partner schools across 18 countries. Holding a PhD in Human Resource Management, she brings twelve years of postgraduate teaching experience to her role, with a specialisation in strategic management, organisational behaviour, and the application of research methodologies such as SmartPLS to business strategy challenges — including published work on startup growth strategy in the sports industry. A recipient of the 'Best Faculty Award', Dr Prathima is known for her student-centred pedagogy, fostering critical thinking and real-world application, and has previously served as faculty at the SEA Group of Institutions. Her deep grounding in strategic frameworks and her commitment to developing adaptive, socially responsible business leaders makes her a compelling choice to lead The Strategic Manager module within the UWS Bengaluru MBA.

Dr Ranjith P V is a Professor at the Presidency School of Management with over 18 years of experience in management education, specialising in Service Quality, Operations Management, Quality Management, and Quantitative Techniques. He completed his PhD in Service Quality and has published extensively in reputed management journals across multiple facets of business management; he is also a member of the review committee of the Association of International Business and Professional Management (AIBPM) and has participated in workshops conducted by the Academy of International Business. Proficient in SPSS and marketing engineering tools, Dr Ranjith combines strong quantitative analytical capability with a commitment to applied, research-driven pedagogy, and has previously served as Associate Professor at Christ University (Deemed to be University), Bengaluru, and at reputed institutions in Mumbai. His expertise in research methods, quantitative analysis, and management practice makes him ideally placed to equip MBA students with the research and professional management skills demanded by a UK Masters' programme.

Dr Aurobindo Kiriyakere brings a rare combination of corporate leadership and academic depth to the MBA classroom, having spent 21 years in senior roles at global technology companies including IBM, GE, and Oracle, before transitioning to academia and earning his PhD — a journey he describes as proof that 'age is just a number.' His doctoral research at Presidency University focused on Agri Marketing and Value Chain Analysis, and his academic domain spans contemporary management challenges, marketing strategy, project management, and organisational leadership, with particular interest in the interface between technology industry experience and management theory. A Distinguished Toastmaster and author of 'The Gita Way of Life', Dr Aurobindo is recognised for his ability to connect theoretical concepts with vivid practical examples drawn from his own professional journey, creating an engaging, insight-rich classroom experience that students consistently describe as transformative. His unique industry-to-academia trajectory, combined with his expertise in software project management, SDLC, and organisational behaviour, positions him to offer MBA students a sharply contemporary and experientially grounded perspective on the management challenges of the digital age.

Dr Anitha S. Yadav is a Professor of Financial Management at the Presidency School of Management, where she also serves as a recognised PhD Research Supervisor with nine published research contributions to her name, spanning financial management, capital markets, and investment analysis. Her academic specialisation encompasses Corporate Finance, Financial Markets, Portfolio Management, and Financial Statement Analysis, equipping her students with both the theoretical frameworks and the analytical tools required to navigate complex financial decision-making in corporate settings. With postgraduate qualifications in both Finance and Commerce and a doctoral focus on financial management, Dr Yadav brings a rigorous, research-informed approach to the teaching of Corporate Finance, a module that is central to the MBA's Banking & Finance specialisation pathway. Her combination of deep subject expertise, active research engagement, and experience in guiding doctoral scholars makes her a highly credible and accomplished guide for MBA students pursuing careers in corporate finance, investment banking, and financial strategy.

Nirmaalya B. Biswas brings an exceptionally diverse professional background of over three decades to his academic role, combining over fourteen years in the global hospitality industry — with organisations including the Oberoi Hotels and Radisson Hotels — with deep expertise in higher education administration and academic leadership. He was a member of the academic body at Leeds Beckett University and Huddersfield University in the UK. He has led the India operations of MBA programmes affiliated with Cardiff Metropolitan University, Anglia Ruskin University, and UWS Glasgow in the UK, and Edith Cowan University, Perth, Australia; and served as Director and Dean of MBA ESG India (part of Galileo Global Education), where he championed an apprenticeship-based pedagogical model integrating academic rigour with real-world industry interface. As an Adjunct Faculty member at CMS Business School, Bengaluru, and an active research scholar working in the domain of entrepreneurship, he brings strategic thinking, UK academic system expertise, and hands-on project mentoring capability to his supervision of the programme's capstone module.

Vignesh Subramanyam is a practitioner-entrepreneur at the cutting edge of applied artificial intelligence, and Co-Founder of CogitX — a Bengaluru and Seattle-based Agentic AI company building vertical AI agent platforms designed to transform enterprise workflows across customer engagement, leadership intelligence, and employee operations. His professional career spans data science and analytics leadership at TheMathCompany and CreatHives, where he built expertise in data mining, visualisation, machine learning pipelines, and enterprise AI deployment, combining technical depth with an acute understanding of how data-driven insights translate into strategic business value. A sought-after voice on the future of intelligent systems, he has delivered keynotes and masterclasses on Agentic AI at Alliance University and other leading institutions, explaining how AI that can reason and act autonomously represents a generational leap beyond conventional automation and RPA. His dual perspective — as a builder of production AI systems and as a communicator who can make complex data science accessible — makes him an exceptional guide for MSc AI students navigating Data Mining and Visualisation at the intersection of theory and real-world application.

Dr Hashmat Fida is an Assistant Professor specialising in Artificial Intelligence, Machine Learning, Federated Learning, Explainable AI (XAI), Computer Vision, Graph Intelligence, and Smart Cities — research domains that together define the frontier of trustworthy and deployable intelligent systems. His research is deeply rooted in cyber-physical intelligence, with active projects on intelligent traffic management using V2X communication and IoT sensor fusion, autonomous robotic swarms, space-based cyber intelligence, and AI-driven fraud detection — all of which have resulted in published papers, book chapters, and his authored book 'Minds and Machines: A Journey into Artificial Intelligence', which traces the evolution of AI from its origins to the era of neural networks and generative models. Actively seeking international research collaborations through SciProfiles and ResearchGate, Dr Fida is a passionate mentor of students and early-career researchers, and is a reviewer for journals in AI and machine learning, bringing both rigorous scholarly standards and frontier technical expertise to his academic role. His breadth across theoretical AI foundations, autonomous systems, and real-world intelligent infrastructure makes him an authoritative and inspiring teacher for the Intelligent Systems module — a cornerstone of the MSc AI programme.

Dr Robin Rohit Vincent is a Professor and Head of the Department of Computer Science and Engineering at Presidency University, with over 25 years of teaching and research experience spanning institutions in India, the Sultanate of Oman, and — through a prestigious Post-Doctoral Fellowship in 2024 — City, University of London. His research profile spans Adhoc Wireless Networks, AIoT (Artificial Intelligence of Things), Adversarial Machine Learning, Generative AI, and Cryptography, with SCI/WoS/Scopus-indexed publications, authored books, filed patents, and active PhD supervision — a portfolio that reflects genuine scholarly depth across the full stack of mobile and networked intelligent systems. A certified CISCO instructor and member of professional bodies including IANG and CSI, Dr Robin has served as Chief Technology Officer and Head of the Educational Technology Centre at the University of Technology and Applied Sciences in Ibra, Oman, and brings both academic rigour and technology leadership experience to his teaching. His expertise in mobile communications, wireless network architecture, and AI-integrated mobile applications positions him ideally to deliver the Mobile Networks and Smartphone Applications module — equipping MSc AI students with the technical grounding to build intelligent, network-aware applications for the smartphone era.

Dr S. Deepthi is an Assistant Professor at the Presidency School of Computer Science and Engineering with expertise in computer science, AI ethics, and the governance of intelligent systems — a field that has become increasingly central to responsible technology development as AI permeates healthcare, finance, marketing, and public administration. Her research engages with the ethical dimensions of data-driven systems: she has studied how ethical lapses in AI-powered marketing and data handling erode consumer trust and satisfaction, recommending consent-based data governance frameworks and policy-level reforms to protect privacy and ensure transparency in algorithmic decision-making. Her work sits at the intersection of technical computing and socio-ethical analysis, making her well positioned to guide MSc AI students through the critical questions that define the Professional Computing Ethics module — questions of bias, accountability, intellectual property, AI governance, and the responsibilities of engineers who build systems that affect millions of lives. In an era where technical AI capability without ethical grounding is both a professional risk and a societal hazard, Dr Deepthi's focus on building ethically literate AI practitioners makes her an essential voice in the MSc AI programme.

Dr Zafar Ali Khan N is a Professor and Head of Department for Computer Science and Engineering at Presidency University, with research specialisations in Artificial Intelligence, Machine Learning, Information Retrieval, and Recommender Systems — domains that form the algorithmic backbone of modern Generative AI architectures. With a Google Scholar citation count reflecting a growing body of peer-reviewed work, his research investigates how machines learn to retrieve, rank, and generate relevant information from large-scale datasets — directly foundational to understanding how Large Language Models, diffusion models, and other generative systems are designed, trained, and evaluated. As Head of a department at the forefront of AI and computing education, Dr Zafar Ali Khan brings both research credibility and institutional leadership to his teaching, mentoring postgraduate students and faculty alike in cutting-edge AI methodology. His depth in the theoretical underpinnings of intelligent retrieval and generation systems makes him exceptionally well equipped to deliver the Generative AI: Theory and Application module, guiding MSc AI students from foundational principles through to the practical deployment of generative models in real-world contexts.

Dr Vinayak Raju Kage is a faculty member at the Presidency School of Artificial Intelligence and Advanced Computing, Presidency University, with expertise in software engineering, system design, and the architectural challenges of building reliable, scalable AI-driven applications. His academic domain encompasses software design principles, object-oriented architecture, design patterns, and the emerging frameworks required to engineer production-grade systems that integrate machine learning models — from data pipeline design and API architecture to model serving, monitoring, and system resilience. The Software Design for AI-Driven Systems module he leads addresses one of the most practical and pressing gaps in AI education: the ability to not just train models, but to design, build, and maintain the software systems that deploy them at scale in real-world environments. His grounding in software engineering fundamentals combined with an understanding of the specific architectural demands of AI systems equips MSc AI students with the design thinking and technical vocabulary needed to bridge the gap between data science and production engineering — a capability increasingly valued by employers across the technology sector.