Paloma Rao Award Winning Anchor, Actor, VJ and Columnist

Jayati Ghosh is the Dean of Scott L. Carmona College of Business at Saginaw Valley State University, Michigan. In her previous leadership roles, she served as the Dean of the School of Business Administration at Widener University, Pennslyvania. At Dominican University of California, she served as the Associate Dean, Founding Executive Director of Internationalization and Global Education and Honors Program. She is an experienced visionary leader with thirty years of experience in higher education as a faculty member and administrator, who is committed to advancing the mission of the university, integrating and promoting liberal arts. Ghosh is committed to promoting high impact practices which makes a college experience truly transformative and inclusive. Furthermore, she is committed to engaging with faculty and staff in shared governance and collective bargaining; brings experience in strategic planning; promoting continuous improvement through accreditation and assessment; creating and implementing new programs and re-engineering existing program. Jayati has been an Association to Advance Collegiate Schools of Business (AACSB) volunteer for multiple years. Over the years she has made an incredible impact and served in multiple roles. She leads and serves on peer review teams, as an accreditation mentor to schools engaged in the initial accreditation process and serves on the Continuous Improvement Review Committee (CIRC). She is an active participant in affinity group including Women Advancing Management Education (WAME), and in the past has served on the Small Schools affinity group. Currently she serves on the board of the Great Lakes Bay Economic Club, Michigan and has served on the multiple committees of the San Rafael Chamber of Commerce, California. She is the past President of the Middle Atlantic Association of Colleges of Business Administration (MAACBA) and served on the Board of Directors. Ghosh has led students in a collaborative project in South Africa and short-term international study trips. Jayati had taught courses in cross-cultural management, business environment in Asia, global issues, and business communication. Her research interests are in the areas of economic development, health issues and small and medium size enterprises (SMEs). She has presented her research at national and international conferences and published extensively. Ghosh earned her PhD from the University of Waterloo, Canada and MA from Wilfrid Laurier University, Canada. She also received a MSc from the University of Calcutta, India. In 2024 she earned a professional certificate from the Institute for Management and Leadership in Education (MLE), Harvard University. Ghosh participated at the Aspen Institute’s Undergraduate Business Education Consortium, designed to promote liberal arts education in professional programs. She also participated in the White House Convening of Business School Deans and the Business Community on Expanding Opportunities for Women in Business. Prof. (Dr.) Jayati Ghosh Dean of Scott L. Carmona College of Business at Saginaw Valley State University

Prasanna Vithanage Sri Lankan Filmmaker

School of Artificial Intelligence PG Diploma - Generative AI and Large Language Models 12 Months Apply for this course The Postgraduate Diploma in Generative AI and Large Language Models is an intensive, industry-aligned program designed to equip learners with deep expertise in modern AI systems that power today’s intelligent applications. The program builds strong foundations in deep learning and transformers, progresses to advanced generative models and large language models (LLMs), and culminates in real-world deployment and capstone implementation. Learners gain hands-on experience in training, fine-tuning, and deploying LLMs, working with multimodal AI systems, and building production-ready GenAI applications. With a strong emphasis on responsible AI, ethics, and scalability, the program prepares graduates to design, evaluate, and operationalize AI solutions across domains such as healthcare, finance, media, education, and enterprise technology. Delivery Mode Hybrid (online lectures + in-person labs/workshops) Industry masterclasses (OpenAI, Google, Hugging Face, Stability AI) Internship/Research optional add-on (2 months) Apply to Sai University Apply to Sai University Program Details About Major Possible Minor Inter Disciplinary Core Courses Technical Skills Program Structure Academic Calendar Scope for the Program Program Highlights Key Program Outcomes Career and Learning Outcomes Research Opportunities Industry-Relevant Technical Skills Eligibility Fees and Scholarship FAQ's Video Corner Gallery School of Artificial Intelligence PG Diploma - Generative AI and Large Language Models Apply Now

School of Law LL.M. in Regulation and Governance 1 Year Apply for this course The LL.M. in Regulation and Governance at Sai University Are you ready to forge the future of regulatory excellence? In an era where India's dynamic economy thrives on a robust regulatory framework, the LL.M. in Regulation and Governance at Sai University is your gateway to becoming a visionary leader. India's economic liberalization has catalysed a powerful regulatory state, marked by the rise of independent statutory institutions wielding significant legislative, executive, and quasi-judicial authority. This complex ecosystem demands a new breed of legal professional, one equipped with specialized expertise that traditional legal education often overlooks. This program transcends conventional legal training, offering a specialized, cutting-edge approach to mastering the intricacies of this evolving regulatory landscape. Step beyond conventional legal boundaries and emerge as a driving force in the realm of regulation and governance. Envision a transformative academic journey where rigorous legal theory seamlessly merges with practical, real-world application, enriched by profound interdisciplinary insights. At Sai University, we empower you with the intellectual prowess and strategic acumen necessary to navigate the intricate landscape of contemporary regulatory challenges. With specialized pathways in Technology Law and Policy, Corporate and Financial Regulation, and Infrastructure and Sustainability, you'll be primed to lead at the forefront of regulatory scholarship and innovation. Why this major? Interdisciplinary Mastery: Immerse yourself in a rich interdisciplinary exploration of law, economics, and policy, cultivating a holistic understanding of the regulatory ecosystem. Collaborative Intellectual Hub: Engage with brilliant minds from diverse academic disciplines, fostering a dynamic exchange of ideas and perspectives. Uncompromising Academic Rigor: Uphold the highest standards of legal scholarship, ensuring you are equipped to meet the most demanding regulatory challenges. Visionary Faculty Mentorship: Learn from esteemed regulatory scholars and industry experts who are shaping the future of regulatory innovation. Comprehensive Career Trajectory: Chart a course for diverse and impactful careers within regulatory bodies, corporate governance, and policy development. Holistic Analytical Development: Sharpen your critical thinking, analytical, and strategic skills, becoming a well-rounded regulatory leader. Apply to Sai University Apply to Sai University Program Details About Major Possible Minor Inter Disciplinary Core Courses Technical Skills Program Structure Academic Calendar Scope for the Program Program Highlights Key Program Outcomes Career and Learning Outcomes Research Opportunities Industry-Relevant Technical Skills Eligibility Fees and Scholarship FAQ's Video Corner Gallery School of Law LL.M. in Regulation and Governance Apply Now

About Education Research Interests Major Works Arjun Singh Gangwar Lecturer Arjun is a Lecturer in the School of Computing and Data Science at Sai University, Chennai. With a strong academic foundation in mathematics and data science, he brings a multidisciplinary approach to teaching and research in artificial intelligence and machine learning. He holds an M.Tech in Data Science from the Indian Institute of Technology (IIT) Palakkad (2025) and an M.Sc. in Mathematics from Mahatma Jyotiba Phule Rohilkhand University, Bareilly (2018). He has qualified multiple prestigious national-level examinations, including CSIR-NET, GATE, and IIT-JAM, and has completed advanced certifications from IITs, Google, IBM, and Stanford University through platforms like NPTEL and Coursera. He has over five years of teaching experience, having previously served as an Assistant Professor at Future University Bareilly and Utkarsh School of Management & Technology, Bareilly. During his M.Tech, he served as a Teaching Assistant at IIT Palakkad, and also he is the founder of Epsilon Academy, a non-profit YouTube channel aimed at democratizing quality education in STEM. Mr. Gangwar’s academic and research interests include linear algebra, machine learning, deep learning, time series analysis, graph neural networks (GNNs), physics-informed neural networks (PINNs), and generative AI. His postgraduate research focuses on soil moisture prediction using explainable AI/ML techniques, incorporating clustering, hybrid deep learning models, and GNN-based architectures. He has successfully executed several applied AI projects, including:AI-based quiz generation systems,Text summarization using BART and GPT-2,Retrieval-Augmented Generation (RAG) models for media intelligence chatbots. In addition to his research, he is skilled in developing data-centric applications using tools such as Python, FastAPI, Streamlit, and a wide range of data science libraries. A passionate educator and researcher, Mr. Gangwar is committed to advancing explainable, interpretable, and responsible AI to ensure transparency, fairness, and accessibility in real-world applications.

School of Computing and Data Science B.Tech Data Science 4 Years Apply for this course B.Tech in Datascience This major equips students with the skills to extract valuable insights from large and complex datasets. The curriculum covers statistical analysis, machine learning, data mining, data visualization, database management etc. Students learn to use various tools and techniques to collect, clean, analyze, and interpret data, enabling them to make data-driven decisions. The program emphasizes the application of statistical and computational methods to solve real-world problems. Graduates are prepared for careers as data analysts, data scientists, machine learning engineers, and business intelligence analysts. Key Courses Database Management and SQL Computer Networks Cryptography Cybersecurity Computer Vision Advanced Programming Embedded Systems and Robotics Artificial Intelligence Internet of Things Complexity Theory Numerical Methods Computational Geometry Apply to Sai University Apply to Sai University Program Details About Major Possible Minor Inter Disciplinary Core Courses Technical Skills Program Structure Academic Calendar Scope for the Program Program Highlights Key Program Outcomes Career and Learning Outcomes Research Opportunities Industry-Relevant Technical Skills Eligibility Fees and Scholarship FAQ's Video Corner Gallery School of Computing and Data Science B.Tech Data Science Apply Now

School of Computing and Data Science B.Tech. Computer Science (AI and ML) 4 Years Apply for this course B.Tech . Computer Science (Artificial Intelligence & Machine Learning) The B.Tech in Computer Science (Artificial Intelligence & Machine Learning) at Sai University equips students with the knowledge and skills to develop intelligent systems that address real-world challenges. The program combines a strong foundation in computer science with advanced topics such as machine learning, deep learning, computer vision, natural language processing, generative AI, and data analytics. Through hands-on projects, industry exposure, research opportunities, and an interdisciplinary liberal education, students gain the technical expertise and critical thinking needed to innovate responsibly in an AI-driven world. Graduates are well prepared for careers in AI, machine learning, software engineering, data science, and emerging technology domains, as well as for advanced studies and research. Apply to Sai University Apply to Sai University Program Details About Major Possible Minor Inter Disciplinary Core Courses Technical Skills Program Structure Academic Calendar Scope for the Program Program Highlights Key Program Outcomes Career and Learning Outcomes Research Opportunities Industry-Relevant Technical Skills Eligibility Fees and Scholarship FAQ's Video Corner Gallery School of Computing and Data Science B.Tech. Computer Science (AI and ML) Apply Now

About Education Research Interests Major Works Dr. Ashok Chandrasekaran Assistant Professor Ph.D. in the field of array signal processing from Anna University Dr. Ashok Chandrasekaran has nearly a decade of teaching and research experience in signal processing. His broad research interests lie in array signal processing for RADAR and 6G-and-beyond wireless technologies, including sparse sampling, low-rank approximation techniques, target detection and tracking, 5G beamforming and machine learning algorithms. In his academic and research span, he has been associated with Central Electronics Engineering Research Institute (CEERI) for a research project on a Machine Vision System and Indian Institute of Technology (IIT), Bhubaneswar on a DOA Estimation project. He has published research papers in renowned international and national journals and conferences such as IEEE includes IEEE Communications Letters, IEEE Canadian Journal of Electrical and Computer Engineering and IEEE Signal Processing Thesis, Springer, Elsevier, and PIER. Notably, his work on a machine learning-inspired DOA estimation method earned him the IEEE Publication Award in 2021 from the IEEE Madras section. Moreover, some of his conference papers have been recognized with best paper awards at IEEE and IETE conferences. He also holds an Indian patent published for passive radar applications. He has been recognized as a peer reviewer for leading journals, including IEEE Transactions on Vehicular Technologies, IEEE Sensors Journal, IEEE Systems Journal, and various Elsevier, Hindawi Journals and conferences. Furthermore, he has delivered invited lectures and talks at various academic events, including Faculty Development Programs sponsored by the Centre for Faculty Development (CFD), Centre for Internet of Things, MIT Campus, and various IEEE national and international programmes. He obtained his Ph.D. in the field of array signal processing, completed his Master’s in Engineering with a specialization in Communication Systems, and earned his B.Tech (Honours) degree in Electronics and Communication Engineering with a specialization in very large-scale integration (VLSI)

School of Law Daksha Fellowship 1 Year Apply for this course The Daksha Fellowship - PG Diploma in Technology Law and Policy (Online Program) Join us to revolutionize your legal career in the age of digital transformation. The Daksha Fellowship is not merely an online program; it is a transformative journey designed to equip legal professionals with the strategic acumen and interdisciplinary expertise needed to thrive in a rapidly evolving digital landscape. This immersive, one-year online experience seamlessly integrates law, technology, policy, and business, bridging the gap between theoretical knowledge and real-world application. Step beyond conventional legal boundaries and emerge as a pioneer in the digital legal arena. Envision a dynamic learning environment where cutting-edge legal theory converges with practical, industry-driven insights, all delivered through a flexible, engaging online platform. At Daksha, we empower young and mid-career lawyers, public policy professionals, and law graduates to navigate the complexities of the digital age with confidence and mastery. Admissions: Applications are welcomed from individuals with an undergraduate degree. Selection is based on a holistic review of academic excellence, demonstrated leadership potential, and a passion for shaping the future of digital law. Join the Daksha Fellowship and embark on a transformative online learning experience that will redefine your legal career and propel you to the forefront of the digital legal revolution. Why this major? Flexible, Immersive Online Learning: Engage in dynamic live classes and interactive workshops, all delivered through a robust, state-of-the-art digital platform that fits your schedule. Global Intellectual Exposure: Learn from distinguished international faculty and industry experts, gaining invaluable perspectives from leading institutions worldwide. Strategic Internships & Career Acceleration: Benefit from structured internship opportunities with prestigious law firms, influential think tanks, and leading corporate legal teams, coupled with comprehensive career mentorship. Essential Skill Amplification: Elevate your professional capabilities through dedicated skill labs focused on persuasive communication, visionary leadership, and holistic workplace well-being. Pioneering Interdisciplinary Approach: Embrace an interdisciplinary curriculum that seamlessly fuses law, policy, and business, preparing you to tackle the multifaceted challenges of the digital age. Accessible Academic Excellence: Experience rigorous academic standards and industry-relevant training, all delivered through an innovative and flexible online format. Apply to Sai University Apply to Sai University Program Details About Major Possible Minor Inter Disciplinary Core Courses Technical Skills Program Structure Academic Calendar Scope for the Program Program Highlights Key Program Outcomes Career and Learning Outcomes Research Opportunities Industry-Relevant Technical Skills Eligibility Fees and Scholarship FAQ's Video Corner Gallery School of Law Daksha Fellowship Apply Now

About Education Research Interests Major Works Dr. Umesh Varshney Honorary Professor, Department of Microbiology and Cell Biology Indian Institute of Science

About Education Research Interests Major Works Dr. Tamilarasi W Assistant Professor, School of Computing and Data Science Doctor of Philosophy (Ph.D.) Vellore Institute of Technology Dr. Tamilarasi has 5 years of experience in the teaching field and has worked across the domain including Graph theory. She has done Ph.D from Vellore institute of technology, Chennai. She has 9 publications in SCI indexed journals and Scopus indexed journals. She began her career with Madha Engineering College as Assistant professor. Subsequently, she carried out her research in VIT, Chennai from 2019 and completed her doctorate in 2025