The Institute supports research and innovation by providing advanced facilities such as GPU Computing and Robotics laboratories to promote research-driven learning and project development. It also encourages quality publications through the Research Publication Rewards Scheme aligned with NIRF guidelines. Further, deputation leave and partial financial assistance are provided for participation in conferences, workshops, training programs and hackathons to enhance research exposure among faculty and students.
Research Publication Reward
The Institute promotes high-quality research through the Research Publication Rewards Scheme, introduced in the academic year 2021–22, in alignment with the R&D focus of the NIRF framework. The scheme motivates faculty members and students to contribute to quality scholarly publications by offering cash rewards for research papers published in reputed indexed journals such as SCI, SCIE, and Scopus, as well as conferences and journals recognized under Google Scholar, UGC-CARE, and other recognized platforms considered under NIRF guidelines.
Recipients of Research Publication Rewards
| S.No. | Name | Department |
|---|---|---|
| 1 | Dr. Abhijit Bhattacharya | MCA |
| 2 | Mr. Amartya Dutta | CSE |
| 3 | Mr. Amlan RayChaudhuri | CSE |
| 4 | Dr. Ananya Kanjilal | CSE |
| 5 | Mr. Aritra Ghosh | EE |
| 6 | Dr. Arijit Dey | MCA |
| 7 | Prof. B. N. Chatterji | CSE |
| 8 | Dr. Bikromadittya Mondal | CSE |
| 9 | Dr. Binoy Krishna Biswas | ASH |
| 10 | Dr. Debabrata Das | ASH |
| 11 | Dr. Debarati Dey Roy | ECE |
| 12 | Ms. Dolon Champa Das | ASH |
| 13 | Dr. Esa Bose | ASH |
| 14 | Dr. Jayeeta Chanda | CSE |
| 15 | Ms. Madhumita Sarkar | ECE |
| 16 | Dr. Mousam Chatterjee | ECE |
| 17 | Ms. Pia Sarkar | ECE |
| 18 | Dr. Pratap Ch. Mandal | CSE |
| 19 | Ms. Rashmita Mishra | ECE |
| 20 | Mr. Sayantan Chakrabarti | IT |
| 21 | Dr. Somali Sikder | ECE |
| 22 | Ms. Soumi Tokdar | CSE |
| 23 | Ms. Sudipta Roy | IT |
| 24 | Dr. Surajit Mandal | ECE |
| 25 | Dr. Susmita Biswas | ECE |
| 26 | Dr. Vedatrayee Chakraborty | ECE |
| S.No. | Name | Department |
|---|---|---|
| 1 | Dr. Abhijit Bhattacharya | MCA |
| 2 | Dr. Ananya Kanjilal | CSE |
| 3 | Ms. Anusree Roy | EE |
| 4 | Prof. Arijit Saha | ECE |
| 5 | Dr. Arijit Dey | MCA |
| 6 | Prof. B. N. Chatterji | CSE |
| 7 | Dr. Bikromadittya Mondal | CSE |
| 8 | Dr. Debabrata Das | ASH |
| 9 | Dr. Debarati Dey Roy | ECE |
| 10 | Dr. Esa Bose | ASH |
| 11 | Dr. Ivy Majumdar | ECE |
| 12 | Ms. Madhumita Sarkar | ECE |
| 13 | Dr. Mousam Chatterjee | ECE |
| 14 | Ms. Pia Sarkar | ECE |
| 15 | Dr. Pratap Ch. Mandal | CSE |
| 16 | Ms. Rashmita Mishra | ECE |
| 17 | Mr. Sayantan Chakrabarti | IT |
| 18 | Dr. Somali Sikder | ECE |
| 19 | Ms. Soumi Tokdar | CSE |
| 20 | Dr. Surajit Mandal | ECE |
| 21 | Dr. Susmita Biswas | ECE |
| 22 | Dr. Vedatrayee Chakraborty | ECE |
| 23 | Arko Sen (Student) | ECE |
| 24 | Agrika Gupta (Student) | ECE |
| 25 | Ankit Banerjee (Student) | ECE |
| S.No. | Name | Department |
|---|---|---|
| 1 | Prof. Arijit Saha | ECE |
| 2 | Dr. Debabrata Das | ASH |
| 3 | Dr. Debarati Dey Roy | ECE |
| 4 | Dr. Gitosree Khan | IT |
| 5 | Dr. Jayeeta Chanda | CSE |
| 6 | Ms. Madhumita Sarkar | ECE |
| 7 | Ms. Phultuli Sarkhel | CSE |
| 8 | Ms. Piu Upadhyay | CSE |
| 9 | Dr. Pratap Ch. Mandal | CSE |
| 10 | Dr. Surajit Mandal | ECE |
| 11 | Dr. Sutapa Mukherjee | EE |
Research and Advanced Lab Facilities
The Institution provides modern research and advanced laboratory facilities to encourage interdisciplinary, innovative project-based learning and research. Specialized facilities such as E-Yantra Robotics Lab, Texas Instruments Innovation Lab, Mac Lab and GPUs along with access to comprehensive E-Journal resources enable students and faculty to engage in cutting-edge research, industry-relevant project development and technology-driven learning. These facilities collectively strengthen practical skills, analytical capabilities, and academic excellence, preparing learners to meet emerging technological and research challenges.
The GPU Computing facility available at the Dept. of CSE and IT provides high-performance parallel computing infrastructure to support advanced research in artificial intelligence, machine learning, deep learning, big data analytics, and scientific simulations. The facility is available to all students and faculty members across the Institute to undertake research-driven projects, develop computational problem-solving skills, and gain exposure to emerging technologies relevant to industry and academia.
GPU Workstations — 2 Units
(Located in Dept. of CSE and Dept. of IT)
Available to all faculty members and students across all departments to support research and projects in emerging technologies.
| Specification | Details |
|---|---|
| Processor | Intel Core i7 |
| Motherboard | Gigabyte GA-Z690 |
| Memory | 16 GB RAM |
| Storage | 1 TB HDD |
| GPU | Gigabyte GV3070TI OC 8GB |
Use cases: Deep learning, artificial intelligence, computer vision, image and video analytics, big data processing and GPU-accelerated simulations.
The E-Yantra Laboratory within Dept. of CSE, established under the IIT Bombay initiative, facilitates experiential learning in robotics, embedded systems, and automation technologies. The laboratory encourages all students across departments to engage in project-based learning, innovation, and participation in national-level technical competitions, thereby enhancing design, analytical, and teamwork competencies.
The Texas Instruments Laboratory developed by Dept. of ECE supports outcome-oriented learning and research in embedded systems, microcontroller-based system design, Analog & digital electronics and signal processing. The laboratory promotes industry interaction and application-driven project development, enabling all students across the Institute to bridge the gap between theoretical concepts and practical implementation.
This is a specialized computing facility established to support advanced teaching, learning, and research activities in contemporary and emerging areas of Information Technology. The laboratory is designed to facilitate hands-on experimentation, project-based learning, and research-oriented work aligned with industry and academic requirements.
The laboratory provides a heterogeneous computing environment integrating Apple macOS, Windows-based systems, mobile platforms, and high-performance GPU-based computation. This infrastructure enables students and faculty to engage in multidisciplinary research, software development, data analytics, artificial intelligence (AI), machine learning (ML), deep learning (DL), image and video processing, mobile application development, and high-performance computing (HPC).
Computing Resources
Apple iMac (21.5″ Retina 4K Display) — 7 Units
| Specification | Details |
|---|---|
| Processor | Intel Core i5 @ 3.0 GHz |
| Memory | 8 GB RAM |
| Storage | 1 TB HDD |
| Peripherals | Apple Keyboard and Mouse |
| Operating System | macOS |
Use cases: iOS/macOS development, multimedia processing, UI/UX design, programming, software engineering, visualization, and simulation-based tasks.
HP Desktop Systems — 2 Units
| Specification | Details |
|---|---|
| Processor | Intel Core i7 |
| Memory | 16 GB RAM |
| Storage | 1 TB HDD |
| Peripherals | Keyboard and Mouse |
| Operating System | Windows |
Use cases: Advanced programming, computational tasks, database management, simulation, and data analytics-based research.
Samsung Galaxy J6 Android Smartphone — 1 Unit
| Specification | Details |
|---|---|
| Platform | Android OS |
Use cases: Mobile application development, testing, and research in Android-based computing, mobile networks, and IoT applications.
The laboratory plays a crucial role in enhancing practical learning outcomes, fostering innovation, and promoting research culture. It aligns with NBA requirements by providing adequate, modern, and discipline-specific computing infrastructure to support Outcome-Based Education (OBE) and continuous academic improvement.
The Central Library provides access to reputed national and international e-journals, research databases, and digital repositories. These resources support research, innovation, scholarly publication, and continuous learning across disciplines. The availability of authenticated digital academic resources strengthens literature survey capabilities and promotes evidence-based research practices.