Global Initiative of Academic Networks - GIAN, Indian Institute of Technology Hyderabad, Sangareddy (2026)

Q: What is the address?

Indian Institute Of Technology Hyderabad

24/03/2026

🚀 GIAN Course Repository – Now Updated!

We’re excited to share that the GIAN Course Repository is being continuously enriched with completed courses, making high-quality academic content accessible to learners, researchers, and faculty across disciplines.

📚 From cutting-edge technologies to interdisciplinary research areas, the repository now hosts a growing collection of expert-led course materials, with many more courses being uploaded in the coming days.

🌐 Explore the repository here:
👉 https://gian.iith.ac.in/courses/repository

📢 Stay tuned as we continue to expand this knowledge hub with more GIAN courses!

If you’ve attended a GIAN course or are planning to — this is your go-to platform to revisit, learn, and grow.

05/02/2026

🧲 GIAN Course Alert | Motilal Nehru National Institute of Technology (MNNIT), Allahabad MNNIT Allahabad
📅 Feb 16–20, 2026
📍 Department of Physics, MNNIT Allahabad
🎓 Course Title: ABC of Magnetic Data Storage: Backbone of the Virtual World

👨‍🏫 International Faculty: Dr. S.N. Piramanayagam, Nanyang Technological University, Singapore
👨‍🏫 Host Faculty: Prof. Naresh Kumar & Prof. G.P. Sahu, MNNIT Allahabad

Join this highly technical GIAN course to gain hands-on and conceptual insights into:
Magnetic storage technology evolution
Spintronics, MRAM, and HDD advancements
Micromagnetic simulations & magnetic nanomaterials

💼 Ideal for: Students, researchers, physicists, data storage & materials science professionals

🔗 More details: https://gian.iith.ac.in/lectures/upcoming
📩 Course Brochure: https://drive.google.com/file/d/17Xkw_vWAWggRXe8T_ZfcDnPGLLPkRwP8/view

12/01/2026

🌱 GIAN Course | Central University of Rajasthan (CURAJ), Ajmer
📅 January 27–31, 2026
🏛️ Department of Biochemistry, School of Life Sciences

🎓 Course Title:
The Good and the Ugly – Transport and Accumulation Pathways of Essential Trace Minerals and Major Food Contaminants in Plants

Plants are the primary source of essential trace minerals such as zinc (Zn) and iron (Fe) for human nutrition—but they are also a major route of exposure to toxic elements like cadmium (Cd), arsenic (As), and lead (Pb). Understanding how plants acquire, transport, detoxify, or accumulate these elements is critical for global food safety, nutrition, and public health.

This GIAN course provides an in-depth exploration of plant metal homeostasis, combining plant physiology, molecular biology, functional genomics, and evolutionary biology to address both the benefits and risks of mineral uptake in crop plants.

👨‍🏫 Course faculties:
Prof. Stephan Clemens, University of Bayreuth, Germany
Prof. Sanjib Kumar Panda, Central University of Rajasthan

💡 Key Learning Themes
Biological roles of essential microelements in plants
Environmental sources and biological effects of Cd, As, and Pb
Phytoavailability and plant metal transporters
Low-molecular-weight metal ligands in plants
Intra- and intercellular metal trafficking
Long-distance transport and seed loading
Metal hyperaccumulation: ecophysiology and evolution
Regulation of plant metal homeostasis
Engineering strategies to optimize seed ionomes
Lectures are complemented by interactive tutorials and discussions to strengthen conceptual understanding.

🎯 Who Should Attend
Students (UG / PG / PhD) in Life Sciences, Biotechnology, Agriculture, Environmental Science
Faculty and researchers
Professionals working in food safety, nutrition, crop science, and environmental health

🔗 Brochure Link:
https://drive.google.com/file/d/1MvvtS2YpMOIG9IhyvwP-p5typHvNvedJ/view
🔗 All upcoming courses: https://gian.iith.ac.in/lectures/upcoming

17/12/2025

🧲 GIAN Course Alert | Motilal Nehru National Institute of Technology (MNNIT), Allahabad
📅 Dec 23–27, 2025
📍 Department of Physics, MNNIT Allahabad
🎓 Course Title: ABC of Magnetic Data Storage: Backbone of the Virtual World

👨‍🏫 International Faculty: Dr. S. N. Piramanayagam, Nanyang Technological University, Singapore
👨‍🏫 Host Faculty: Prof. Naresh Kumar & Prof. G.P. Sahu, MNNIT Allahabad

Join this highly technical GIAN course to gain hands-on and conceptual insights into:
Magnetic storage technology evolution
Spintronics, MRAM, and HDD advancements
Micromagnetic simulations & magnetic nanomaterials

💼 Ideal for: Students, researchers, physicists, data storage & materials science professionals

🔗 More details: https://gian.iith.ac.in/lectures/upcoming
📩 Course Brochure: https://drive.google.com/file/d/1F_jVNRNCkNOkrRrLeosK9KtSqqvKdBi5/view?usp=sharing

17/12/2025

🧠🩺 GIAN Course | NIT Rourkela
📅 December 26–30, 2025
🏛️ Department of Biotechnology & Medical Engineering

🎓 Course Title: Artificial Intelligence and Medical Image Informatics for Cross-scale Disease Characterization and Precision Medicine

Modern diagnosis and prognosis increasingly rely on the precise analysis of medical imaging data across multiple biological scales—from radiology to histopathology. This GIAN course focuses on AI-driven medical image informatics to model disease heterogeneity and support precision medicine.

Participants will learn how deep learning, self-supervised learning, transformers, radiomics, radiopathomics, and generative AI can be used to integrate radiology, pathology, and genomics, especially in realistic healthcare settings where data is imperfect, limited, or noisy.

👨‍🏫 International & Indian Faculty
Dr. Prateek Prasanna, Stony Brook University, New York (USA)
Dr. Mirza Khalid Baig, NIT Rourkela

💡 Key Learning Highlights
Foundations of medical image analysis for precision medicine
Radiology and computational pathology integration
Self-supervised learning & transformer models for biomedical images
Radiomics and histomorphometric feature extraction
Radiopathomics for prognosis and treatment response assessment
Generative AI for medical image synthesis and enhancement
Deep learning strategies for imperfect and weakly labeled data
Clinically interpretable AI models inspired by physician knowledge

🧪 Hands-on Sessions
Segmentation of nuclei from H&E-stained whole-slide images
Histomorphometric feature extraction for molecular subtype prediction
Radiomic feature extraction for diagnosis and therapy response analysis

🎯 Who Should Attend
Students and researchers from Biomedical Engineering, Computer Science, Electrical/Electronics Engineering, Biotechnology
Medical professionals interested in AI-assisted diagnostics
Industry professionals and entrepreneurs in healthcare AI, medical imaging, and wearable health technologies

🔗 Brochure Link: https://drive.google.com/file/d/1MzfCjn-779RqR_9aeNZsNDoeR9oxwwh1/view
📅 All upcoming courses: https://gian.iith.ac.in/lectures/upcoming

17/12/2025

🌍 GIAN Course | National Institute of Technology Uttarakhand
📅 December 23–27, 2025
🏛️ Department of Mathematics

🎓 Course Title: Data-driven Thinking, Modeling and Statistical Inference for Global Health Challenges

The post-pandemic world has highlighted the urgent need for robust data-driven approaches to understand, predict, and manage global health challenges. This GIAN course introduces participants to modern quantitative frameworks that integrate mathematical modeling, statistical inference, epidemiology, health economics, and AI/ML tools to study infectious diseases and public-health systems.

Using real-world health data as a foundation, the course demonstrates how analytical thinking transforms decision-making in disease control, intervention planning, and health-policy design.

👨‍🏫 Faculty:
Dr. Anuj Mubayi, Distinguished Fellow, Intercollegiate Biomathematics Alliance (USA)
Dr. Dharmendra Tripathi, NIT Uttarakhand

💡 Key Learning Areas
Data-driven thinking in global and public health
Mathematical modeling of infectious-disease transmission
Epidemiological metrics and reproduction numbers
Statistical inference, regression & uncertainty analysis
Spatial epidemiology and socio-ecological systems
Health economics, intervention design & decision analysis
Integration of AI and ML tools in disease modeling
Hands-on exposure to Excel-VBA, Maple, R, MATLAB, NetLogo, and OpenFOAM
Scientific writing, communication, and professional presentation skills

🎯 Who Should Attend
UG / PG / PhD students
Faculty and researchers
Professionals from health analytics, epidemiology, policy, and data science
Anyone interested in quantitative global-health modeling and analytics

🔗 Brochure Link: https://drive.google.com/file/d/158k1gtiGC7wms-WkbPclWTsixXccQdh0/view
📅 All upcoming courses: https://gian.iith.ac.in/lectures/upcoming

17/12/2025

📡 GIAN Course | IIT Patna
📅 December 22–26, 2025
🏛️ Department of Electrical Engineering

🎓 Course Title: Multitarget Tracking and Multisensor Fusion with Optimal Resource Management

Modern systems—from autonomous vehicles and intelligent transportation to aerospace surveillance and maritime monitoring—rely heavily on the ability to track multiple targets using data from heterogeneous sensors. This GIAN course provides a comprehensive foundation and advanced treatment of multitarget tracking, multisensor fusion, and optimal sensor resource management under realistic conditions involving clutter, uncertainty, and imperfect measurements.

Participants will gain strong theoretical insight combined with hands-on MATLAB-based tutorials to implement real-world tracking and fusion algorithms.

👨‍🏫Faculty
Dr. Ratnasingham Tharmarasa, McMaster University, Canada
Dr. Shovan Bhaumik, IIT Patna

💡 Key Learning Outcomes
Fundamentals of probability, stochastic processes, and estimation theory
Kalman filtering, nonlinear filtering, particle filters, and PCRLB
Single-target and multitarget tracking in clutter
Data association and performance evaluation metrics
Centralized and track-to-track multisensor fusion
Fusion with asynchronous and heterogeneous sensors
Optimal sensor selection and resource management using MDPs
Case study on pedestrian and vehicle tracking using automotive radar
Extensive supervised MATLAB tutorials for real-life problem solving

🎯 Who Should Attend
Research engineers from avionics, aerospace, automotive, and defense sectors
Scientists from organizations such as DRDO, ISRO, HAL, BHEL, etc.
Faculty members and researchers
Students (BTech / MSc / MTech / PhD) in engineering or physical sciences

Prerequisites:
Basic knowledge of MATLAB (or similar high-level programming) and undergraduate-level mathematics.

🔗Brochure link: https://drive.google.com/file/d/1sUnXLIfMOp56Ig4IkCe4E0yE5MlEsdmt/view
📅 All upcoming courses: https://gian.iith.ac.in/lectures/upcoming

17/12/2025

📊 GIAN Course | NIT JALANDHAR
📅 December 22–26, 2025
🏛️ Department of Computer Science & Engineering

🎓 Course Title: Exploring Scalable Data Analysis and Cutting-Edge Graph Mining

In today’s data-driven world, organizations face the challenge of extracting insights from massive, fast-growing, and highly interconnected datasets. This GIAN course equips participants with the theoretical foundations and practical skills needed to design scalable data analysis solutions and apply advanced graph mining techniques to real-world problems.

Participants will explore how modern algorithms uncover hidden patterns, communities, influential nodes, and structural insights across domains such as social networks, multimedia databases, IoT systems, and complex information networks.

👨‍🏫 Course faculty:
Prof. Sharma Chakravarthy, University of Texas at Arlington, USA
Dr. Urvashi, NIT Jalandhar
Dr. Rajneesh Rani, NIT Jalandhar

💡 What You Will Learn
Why traditional data analysis methods fail at scale
Scalable techniques for large and complex datasets
Fundamentals of graph theory and network structures
Centrality measures, community detection, and influence analysis
Advanced graph algorithms (PageRank, HITS, substructure discovery)
Graph-based machine learning and deep learning
Ethical, privacy, and security considerations in large-scale data analysis
Hands-on tutorials using real-world datasets and case studies

🎯 Who Should Attend
Students (BTech / MSc / MTech / PhD)
Faculty and researchers
Executives, engineers, and professionals from industry, government, and R&D organizations
Anyone working with big data, networks, graphs, or large-scale analytics

🔗 Brochure Link: https://drive.google.com/file/d/13OOVZIW3GCs_zjr223cnEBZhNPEm3vfT/view
📅 All upcoming courses: https://gian.iith.ac.in/lectures/upcoming

17/12/2025

🔬 GIAN Course | IIT Dharwad
📅 22–31 December 2025 (10 Days)
🏛️ Department of Mechanical, Materials & Aerospace Engineering (MMAE)

🎓 Course Title: Functional Materials Manufacturing for Energy and Biomedical Applications

Advanced manufacturing of functional materials is revolutionizing clean energy systems and next-generation biomedical devices. This GIAN program bridges materials science and additive manufacturing (AM) to enable breakthroughs in energy harvesting, magnetic systems, and personalized medical implants

Participants will gain hands-on exposure to additive manufacturing, material design principles, and application-specific fabrication strategies for energy and healthcare innovations.

👨‍🏫 Course Faculty
🌍 Prof. Ravi Hadimani, Cardiff University, UK
🇮🇳 Dr. Somashekara M. A., IIT Dharwad

💡 Key Topics Covered:
Introduction to Functional Materials
Ferroelectric & Magnetic Materials
Nanostructured Functional Materials: Fabrication & Properties
Fundamentals of Additive Manufacturing (AM)
Key AM Processes & Material Compatibility
AM of Medical Implants & Biomedical Devices
AM of Magnetic Materials under External Fields
Materials Science Aspects for AM
Applications, Emerging Trends & Research Challenges

🎯 Who Can Attend:
Executives, engineers & researchers from academia, industry, R&D & government
Students at all levels (BTech / MSc / MTech / PhD)
Faculty from reputed academic & technical institutions

🔗 Brochure link: http://drive.google.com/file/d/1Xt8FTQV7Q6F1wejfYJ_WongzXS73M5PW/view
📅 All upcoming courses: https://gian.iith.ac.in/lectures/upcoming

08/12/2025

🔐 GIAN Course | PDPM IIITDM Jabalpur
📅 December 18–23, 2025
🏛️ Organized in Physical Mode

🎓 Course Title: Security and Threats of Generative AI in Biometric

Biometric systems were designed to bring high-assurance security using unique biological and behavioral traits. But with the rise of accessible generative AI tools—such as DALL·E, DeepAI, Firefly, and GAN-based models—threats like identity morphing, synthetic fingerprints, deepfake faces, and adversarial attacks have become serious risks.
Compromised biometrics are irreplaceable, making security breaches far more damaging than a leaked password. This course trains participants to understand, analyze, and mitigate this next generation of threats.

👨‍🏫 International Course Instructor
Dr. Kiran Raja
Associate Professor, NTNU – Norwegian University of Science & Technology, Norway

👩‍🏫 Host Institute Faculty
Prof. Pritee Khanna, PDPM IIITDM Jabalpur
Prof. Aparajita Ojha, PDPM IIITDM Jabalpur

📘 What You Will Learn

🔹 Foundations of Biometric Systems
Biometric modalities, architecture, multimodal biometrics, performance evaluation, implementation of face/fingerprint authentication.

🔹 Generative AI in Biometrics
Discriminative vs generative models, fingerprint/face synthesis, deep generative models, privacy-preserving synthetic data.

🔹 Attack Vectors & Threat Models
Identity theft, presentation attacks, adversarial attacks, morphing attacks, deepfake-based impersonation—with case studies on fingerprint & face systems.

🔹 Countermeasures & Defense Strategies
Spoof detection, adversarial robustness, continuous monitoring, AI interpretability, privacy safeguards.

🔹 Ethics, Fairness & Standards
AI bias, regulatory compliance, responsible deployment, and real-world breach analysis.

🎯 Who Should Attend?
Students (B.Tech/M.Tech/MS/MSc/Ph.D.)
Faculty, researchers & postdocs
Industry professionals, engineers, R&D staff
Government agencies & security organizations

🔗 Brochure Link: https://drive.google.com/file/d/1FQNI_wlfZpIsUO9HP49xRNQhR9QZNDnp/view
📅 All upcoming courses: https://gian.iith.ac.in/lectures/upcoming

Global Initiative of Academic Networks - GIAN

24/03/2026

05/02/2026

12/01/2026

17/12/2025

17/12/2025

17/12/2025

17/12/2025

17/12/2025

17/12/2025

08/12/2025

Address

Website

Alerts

Contact The School

Shortcuts

Share

Category

Listing takedown request