FUTURE INSTITUTE OF TECHNOLOGY

Affiliated to MAKAUT   |   Approved by AICTE

Vision & Mission

Departmental Vision

The department’s vision is to establish itself as a well-reputed structure in the advancement of modern technologies, with a particular focus on artificial intelligence and machine learning. We aim to be at the forefront of innovative, research-driven education that will shape the future of AI and ML.

The departmental goal is to create a learning environment that encourages creativity, critical thinking, and problem-solving skills. We strongly emphasize equipping students with the knowledge and skills they need to excel in their chosen careers, whether it be academia, industry, or entrepreneurship. Our objective is to instill in them a lifelong passion for learning and a commitment to ethical practices, thereby preparing them to be leaders capable of meeting the challenges of a rapidly evolving technology environment. We envision the department to become a hub for cutting-edge research in the areas of AI and ML. Our goal is to push the boundaries of what is possible in these areas and drive innovation that has a real impact. We strive to produce research that is not only scientifically correct but addresses the most pressing challenges of our time, from climate change to public health to social justice.

We believe in the impact of collaboration and aim to foster strong relationships with industry partners, other academic institutions, and the wider community. We aim to provide students with a hands-on learning experience that complements classroom training. Our culture is to create a welcoming and supportive environment where all members feel valued and can grow.

We strive for dedication, excellence, and integrity in all that we do. We are excited about the future of AI and ML, and we are committed to playing a leading role in shaping that future.

Departmental Mission

1. Fostering Excellence in Education: To provide quality, comprehensive and meaningful education in computer science and engineering, with a particular focus on artificial intelligence and machine learning.

2. Innovation and Research: Foster an environment that fosters innovation and research and allows students to contribute to the evolving fields of AI and ML.

3. Industry-Relevant Teaching: Prepare students for successful careers in the technology industry by ensuring the curriculum is aligned with industry trends and needs.

4. Ethical Computing: We instill in our students a strong sense of ethics and responsibility, enabling them to apply their skills to the benefit of society and to maintain the highest standards of professional conduct.

5. Collaborative and Lifelong Learning: Promote a supportive and inclusive learning environment that values diversity and encourages students to learn from each other, and encourages students to be lifelong learners and equip them with the skills to adapt to the rapidly changing fields of AI and ML.

6. Career Guidance and Support: We provide the guidance and support necessary to help students identify and achieve their career goals.

7. Faculty Development: Support the faculty’s ongoing professional development to ensure that she stays abreast of the latest research and industry trends in AI and ML.

8. Global Perspective: Provides students with a global perspective on AI and ML, preparing them to work in diverse professional environments.

Message from the Head

Dr. Pradipta K. Banerjee

Professor & Head Department of CSE-AIML

Website

“A breakthrough in machine learning would be worth ten Microsofts.” - Bill Gates

Machine Learning continues to revolutionise various industries, and our department has been at the forefront of this transformation. Our research breakthroughs with major and minor project developments and practical applications have not only garnered recognition but have also positively impacted society. In recent years machine learning algorithms are being utilised to improve disease diagnosis, treatment planning, drug discovery, fraud detection, risk assessment, personalised recommendations, demand forecasting, inventory management predictive maintenance, quality control, process optimisation, autonomous vehicles, traffic management systems, logistics optimisation, energy demand forecasting, grid optimisation, anomaly detection, customer segmentation, sentiment analysis; plays a crucial role in detecting and preventing cyber threats. These are just a few examples of the impact of machine learning across industries. As the field continues to advance, we can expect further integration of machine learning techniques to drive innovation and improve efficiency in numerous sectors.

Machine learning jobs offer exciting career prospects, competitive salaries, and the opportunity to make a significant impact across industries. With the increasing demand for AI and data-driven solutions, the field continues to present promising opportunities for professionals with machine learning expertise. Machine learning professionals can hold various job titles depending on their specialisation and responsibilities. Common job roles include Machine Learning Engineer, Data Scientist, AI Researcher, Data Engineer, Algorithm Developer, and AI Consultant.

The future of machine learning holds tremendous potential and is poised to bring about significant advancements across various domains like advancements in Deep Learning, increased automation, enhanced personalisation, improved decision-making, integration with the Internet of Things (IoT), collaboration with human intelligence, societal challenges, and so on.

Our department is committed to providing our students with the best possible learning environment, equipped with the necessary tools and knowledge to excel in the field. From cutting-edge research to practical applications, we strive to offer a comprehensive curriculum that aligns with the latest advancements.

I encourage you to embrace the challenges that lie ahead and approach your studies with curiosity and determination. Remember that Machine Learning is a dynamic and ever-evolving field, demanding continuous learning and adaptation. Stay up-to-date with the latest research papers, attend conferences, and workshops, and engage in discussions with your peers to broaden your understanding.

Here are some of the exciting offerings and opportunities we have in store for our students to excel in this ever-evolving field: Cutting-edge Courses and Curriculum, Research and Project Opportunities, Industry Collaborations and Internships, Career Development and Guidance, and state-of-the-art high-end laboratories.

Last but not least, always remember the power and responsibility that comes with working in this field that has the potential to shape our society. Embrace ethical considerations and social implications in your work, ensuring that the applications of Machine Learning are used for the betterment of humanity. I am excited to embark on this journey with each and every one of you. Our dedicated faculty, state-of-the-art resources, and collaborative environment are here to support your growth and help you realise your potential in the exciting world of machine learning.

Welcome to our CSE-AIML department. Get ready for an exhilarating experience!

Departmental Achievements

Faculty Achievements

Research Papers (Journal / Conference / Book Chapters)

1. Subhash Mondal, Soumadip Ghosh, Amitava Nag, "Brain stroke prediction model based on boosting and stacking ensemble approach" International Journal of Information Technology, pp. 1-10, 2023.
2. Subhash Mondal, Souptik Dutta, Soumadip Ghosh, Sarbartha Gupta, Dhrubajit Kakati, Amitava Nag, "Thyroid Disease Prediction Model on Boosting-based Stacking Ensemble Approach", 2023 IEEE 8th International Conference for Convergence in Technology (I2CT), pp. 1-6, 2023.
3. Prithwineel Paul, Soumadip Ghosh, Arpita Mandal, "Watson-Crick grammar and its label languages", 2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC), pp. 0054-0060, 2023.
4. Prithwineel Paul, Soumadip Ghosh, Anjan Pal, "A New Language‐Generating Mechanism of SNPSSP", Mathematics and Computer Science Journal, John Wiley & Sons, Inc., Volume 1, pp. 435-453, 2023.
5. Saurav Mallik, Anasua Sarkar, Sagnik Nath, Ujjwal Maulik, Supantha Das, Soumen Kumar Pati, Soumadip Ghosh, Zhongming Zhao, "3PNMF-MKL: A non-negative matrix factorization-based multiple kernel learning method for multi-modal data integration and its application to gene signature detection", Frontiers in Genetics, Volume 14, pp. 1-10, 2023.
6. Kamalesh Karmakar, Shramana Dey, Rajib K Das, Sunirma Khatua, “Scheduling of Containerized Resources for Microservices in Cloud”, ICDCIT 2024. LNCS. 
7. Sanjib Roy, Ayan Kumar Das, “Fuzzy Miner Selection towards Blockchain based Secure Communication using Multifactor Authentication” , review submitted in SCIE journal, awaiting for publication.
8. Sanjib Roy, Ayan Kumar Das, Ditipriya Sinha, “AM-CAP: An Attention Mechanism based Capsule Network approach for Contactless Deep Prognosis of COVID-19”, submitted in SCIE journal, under review. 
9. Sanjib Roy, Ayan Kumar Das, “BIMA: Blockchain Enabled Fog Computing for Intensive Medical Assistance to Elder Patients”, CIS-2023 conference, presented, awaiting for publication. 
10. Saurav Mallik, Suparna Saha, Subham Chakraborty, Soumadip Ghosh, Guimin  Qin, “DeMoS: Dense Module based Gene Signature Detection through Quasi-Clique: An Application to Cervical Cancer Prognosis”, Gene Expression Journal, accepted.

Books

1. Soumadip Ghosh. Web Technology with Advanced Java, University Science Press, New Delhi, India.
2. Soumadip Ghosh. Object Technology with Java & UML, University Science Press, New Delhi, India.

Any Other Achievements

1. Dr. Soumadip Ghosh served as the Reviewer of SCIE indexed journals such as IEEE Transactions on Systems, Man & Cybernetics: Systems, KSII Transactions on Internet & Information Systems, Canadian Journal of Electrical & Computer Engg. etc.
2. Kamalesh Karmakar served as a Reviewer of Journal of Supercomputing, Springer, SCIE indexed.
3. Subham Chakraborty served as a  Reviewer of Journal of Artificial Intelligence and Applications. 

Students Achievements

Name	Achievements	Image in folder
Shrinwanti Ray (2020)	Worked for 2 years in Cognizant Salesforce. Now she is about to start her higher academic journey to pursue MBA at IIM, Shillong.
Tapabrata Goswami Soumojit Ghosh Surajit Jana Vikash Kumar Prajapati Tanmoy Das	Winners in water rocket competition at IIT, KGP (2022)	and