India Project Program
Mentors & Project Topics
Unnati Nigam Researcher at IIT Bombay Field: Data Science & Statistics Most active project topics: 1. Time Series Analysis 2. Statistical Modelling and Forecasting 3. Probability Distributions and Hazard Functions 4. Pandemic Data Modelling (COVID-19 Case Studies) About Educator: Statistical Techniques in Data Mining (Aug-Nov 2023) Linear Algebra and Ordinary Differential Equations (Jan-May 2024) International Summer School (June 2024): Statistical Machine Learning Probability I (Aug-Nov 2024
Abhik Sarkar Researcher at IIT Guwahati Field: SM & ML in High Energy Physics Most Active Project Topics: 1. Dark Matter Search at Future Collider Experiments. 2. Top Quark Studies at Future Collider Experiments. 3. Higgs Boson Studies at Future Collider Experiments. 4. New Physics Models in the Light of LHC Higgs Data. 5. Monte Carlo Methods for Particle Physics and Beyond. 6. Stochastic Processes for Particle Physics and Beyond. 7. Supervised Machine Learning for Collider Studies. 8. Unsupervised Machine Learning for Collider Studies. About Educator: Areas of Interest: Effective Field Theory, Physics Beyond the Standard Model, Collider Phenomenology, Statistical Learning Theory.
Likun Pradhan Researcher at IIT Guwahati Field: Computational Physics Most Active Project Topics: 1. Introduction to Computational Physics: Overview of computational methods and their role in solving physical problems. 2. Numerical Methods: Study of key numerical techniques like finite difference and Monte Carlo methods. 3. Simulations: Exploration of physical simulations, including molecular dynamics and N-body simulations. 4. Quantum Computation: Examination of computational approaches to quantum mechanics problems. 5. Data Analysis: Analysis of large datasets in physics using computational tools. 6. Applications: Discussion of real-world applications of computational physics in research and industry. About Educator: Updating Soon
Sanjeev Sikri Researcher at IIT Kanpur Filed: Humanities & Social Sciences Most Active Project Topics: 1. Introduction to Indian Philosophy (Basic and Advanced) 2. Introduction to Ancient Greek Philosophy 3. Introduction to Existentialism 4. Philosophy of Friendship 5. Introduction to Western Ethics 6. Introduction to Indian Ethics 7. Rationalists and Empiricists In Western Philosophy 8. Epistemology: Indian and Western 9. Introduction to Philosophy of Religion About Educator: Updating Soon
Tushar Dhamale Researcher at IIT Bombay Field: Bioscience & Bioengineering Most Project Active Topics: 1. Enzymatic mechanisms in bacterial pollutant degradation 2. Transporter proteins and their roles in bacterial pollutant uptake 3. Genome mining for pollutant degradation pathways in bacteria. 4. Comparative analysis of bacterial plastic degradation enzymes 5. Phylogenetic methods for bacterial classification 6. Gene annotation and evolutionary analysis of bacteriophages 7. Identification of pollutant-degrading gene clusters in bacteria. 8. Metabolic diversity in bacterial pollutant degradation. About Educator: A science enthusiast looking forward for opportunities to learn, explore and experience new challenges in science and life.
Iman Sengupta Professor at IIT Kharagpur Field: Chemical Engineering Most Active Project Topics: 1. Statistical Inference and Analysis 2. Machine Learning and Data Mining 3. Econometrics 4. Time Series Analysis 5. Applied Statistical Modeling About Educator: Worked on the large-scale continuous production of silver nanoparticles and related product development. Have research expertise in the synthesis of novel nanomaterials like graphene, Layered Double Hydroxides (LDH), and their applications in industrial heat transfer, biomedical applications. Have profound knowledge and experience in various materials characterization techniques
Harish Kumar Trivedi Researcher at IIT Kanpur Field: Chemistry Most Active Project Topic: 1. Quantum Chemistry: Advanced Perturbation Theory and its application to molecular systems. 2. Statistical Thermodynamics: Partition functions and their role in determining thermodynamic properties. 3. Advanced Organic Chemistry: Mechanisms of pericyclic reactions and their applications. 4. Spectroscopy: Application of NMR and mass spectrometry in structure determination. 5. Inorganic & Organometallic Chemistry: Catalytic cycles in organometallic chemistry. 6. Materials Chemistry: Recent advancements in nanomaterials and their applications. About Educator: Chemical professional with more than 12 years experience in chemical analysis, R&D, and production management, expertise in operating laboratory instruments and classical analysis, GATE qualified in chemistry AIR 951, material specialist, Expertise in the recycling of industrial waste and recycling of electronics materials of photovoltaic modules and supercapacitor. Able to implement and improve 5S and six sigma in the organization.
Anuj Birani Researcher at IIT BOMBAY Field: ML - Data Science & Statistics Most Active Project Topics: 1. Machine Learning Foundations 2. Deep Learning for NLP 3. Mathematical Optimization Techniques 4. Simulation Modeling and Analysis 5. Quantitative Models for Supply Chain Management About Educator: I am M.Tech (Research Assistant) student at Industrial Engineering and Operations Research, IIT Bombay. I am passionate about my work and always eager to learn new things and to connect with other fellow learners. I am skilled at Machine Learning, Deep Learning, Operations Research and Linux.
Project Milestones:
Session 1: Introduction and Project Planning
Objective: Establish a clear understanding of the project’s goals and expectations.
Milestone:- Define the project scope and objectives.
- Identify key resources and tools needed for the project.
- Develop a detailed project timeline with key deliverables.
- Assign initial tasks and set short-term goals for the next session.
Session 2: Research and Development
Objective: Begin the hands-on work, focusing on foundational research and development.
Milestone:
- Complete initial research or background study relevant to the project.
- Start developing the core components or methodology.
- Review and refine the project plan based on early findings or challenges. - Prepare a progress report and outline the next steps for continued development.
Session 3: Implementation and Testing
Objective: Implement the project plan and test the components developed.
Milestone:
- Complete the development of major project components.
- Conduct thorough testing and validation of the work completed.
- Identify and troubleshoot any issues or roadblocks encountered.
- Gather feedback and make necessary adjustments to improve the project.
Session 4: Finalization and Presentation
Objective: Finalize the project and prepare for presentation or submission.
Milestone:
- Finalize all project components and ensure they meet the initial objectives.
- Prepare a comprehensive project report or presentation.
- Conduct a final review and make any last-minute improvements.
- Present the project findings and reflect on the learning outcomes.
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