Dr. Tumpa BanarjeeHead of Department • MCA • SIT
Siliguri Institute of Technology • Techno India Group • Affiliated to MAKAUT
verified Department of MCA Accredited Cell
school Doctor of Philosophy (Ph.D.) • Head of Department, MCA

Dr. Tumpa Banarjee

Head of the Department, Master of Computer Applications (MCA)

Associate Professor • Siliguri Institute of Technology, Techno India Group

Advancing AI-driven research and computing education through Deep Learning, Computer Vision, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Time Series Analysis, with 18+ years of teaching and academic leadership experience.

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Dr. Tumpa Banarjee - Head of Department MCA Siliguri Institute of Technology
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18+ Years Academic & Research Exp.
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NIT Durgapur Ph.D. & MCA Alumna
Publications menu_book
9

Research Publications (ResearchGate)

Scholarly Impact format_quote
113+

Citations Across Indexations

Research Reads visibility
2,231+

Research Reads (ResearchGate)

Scholarly Career history_edu
18+

Years Academic & Research Exp.

Biographical Profile • Academic Mandate

Fostering Academic Distinction & Computing Innovation

Dr. Tumpa Banarjee currently serves as the Head of the Department of Master of Computer Applications (MCA) at Siliguri Institute of Technology (Techno India Group). With an illustrious academic tenure extending over fifteen years, her leadership is characterized by a balance of institutional governance, doctoral rigor, and cutting-edge curriculum evolution designed to align higher technological education with international standards.

She completed her Ph.D. in Computer Science & Engineering alongside her Master of Computer Applications (MCA) at the prestigious National Institute of Technology (NIT) Durgapur, backed by an honors foundation in pure and applied mathematics. Her scholarly inquiries span distributed cloud architecture, algorithmic resource optimization, predictive machine learning methodologies, and enterprise software engineering.

Under her stewardship, the MCA department has modernized syllabus integration for cloud-native workflows, instituted high-frequency technical hackathons, fostered faculty peer-development clinics, and achieved record postgraduate campus placement placements across premier international software corporations.

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“Modern computer science pedagogy must transcend transient framework syntax. Our mandate is to cultivate deep algorithmic intuition, mathematical resilience, and ethical technological leadership capable of solving critical infrastructure challenges.”
Dr. Tumpa Banarjee • HOD, Dept of MCA
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Academic Governance & Administration

Overseeing strategic curriculum reviews, AICTE and MAKAUT university compliance, accreditation audit cycles (NBA/NAAC readiness), and continuous faculty skill enhancement.

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Advanced Computational Research

Active principal investigator investigating distributed resource allocation algorithms, cloud workload forecasting, heuristic optimization, and machine learning models.

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Scholarly Mentorship & Outcomes

Direct supervision of postgraduate master’s theses, advising undergraduate innovation clusters, and guiding graduates toward elite tier-one engineering and research tracks.

Advisory Engagements • Industry & Defense Collaboration

Technical Consultancy & Defense Engineering Leadership

Translating academic research into mission-critical industry systems and sovereign defense applications.

verifiedHigh-Impact Engagements
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Industry Consultancy • Predictive Systems

Technical Consultant for Simpsoft Solutions Pvt Ltd

Simpsoft Solutions Pvt Ltd

Designing advanced data science workflows and predictive failure models to ensure seamless system reliability and prevent operational shutdowns.

Data Science WorkflowsPredictive Failure ModelsOperational Resilience
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Defense R&D • Applied Engineering

Project Guide, Small Arms Firing Training System

Indian Army Collaboration

Mentored student engineers in building a Small Arms Firing Training Assistant application, combining rigorous computer science methodologies with defense-grade applications.

Defense ApplicationsSimulation & Computer VisionTactical Training Assistance
Educational Heritage • Degrees

Scholarly Degrees & Qualifications

Grounding in Premier National Institutes of Technology with Mathematical Rigor.

verified_user All Credentials Institutionally Verified
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Ph.D. in Computer Science & Engineering

Doctoral Degree
National Institute of Technology (NIT) Durgapur

Specialized in predictive analytics, statistical forecasting, and deep learning. Doctoral thesis advanced recurrent neural network methodologies for time series analysis, supported by research publications in leading academic journals.

Thesis Defense Accolades Advanced Distributed Systems Institute Fellow
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Master of Computer Applications (MCA)

Postgraduate Master
National Institute of Technology (NIT) Durgapur

Comprehensive study of algorithmic design, relational and distributed database management, object-oriented systems engineering, discrete structures, and applied computing frameworks.

NIT Durgapur Graduate Distributed Computing Software Architectures
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Bachelor of Science (B.Sc.) in Mathematics

Undergraduate Degree
Uluberia College • University System

Foundational rigor in abstract algebra, real analysis, differential equations, probability theory, and linear programming that forms the empirical backbone of algorithmic optimization.

Mathematical Foundation Pure & Applied Analysis
Continuous Learning • Professional Accreditations

Licenses & Professional Certifications

Specialized masteries in Generative AI, Large Language Models, RAG, Mathematical Foundations, and Systems Engineering.

verified10 Certified Credentials
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Building with the Claude API

Anthropic Education
May 2026
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Introduction to agent skills

Anthropic Education
May 2026
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Claude Code in Action

Anthropic Education
May 2026
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Retrieval Augmented Generation (RAG)

DeepLearning.AI
Jan 2026
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Introduction to Large Language Models (LLMs)

NPTEL
Nov 2025
description Introduction to Large Language Models (LLMs).pdf
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Fundamentals of LLM

Hugging Face
Nov 2025
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Hands-on Introduction to Linux Commands and Shell Scripting

IBM
Feb 2025
ID:H520LQO3BM2I
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Calculus for Machine Learning and Data Science

DeepLearning.AI
Nov 2024
ID:H0DQX9XK2EE8
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Linear Algebra for Machine Learning and Data Science

Coursera
Oct 2024
ID:N4V27BACOHA5
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NPTEL Domain Certificate (Data Science)

Indian Institute of Technology, Madras (IIT Madras)
Domain Honor
Issuer:IIT Madras / NPTEL
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Scholarly Output • Peer Review

Research Publications & Contributions

Selected peer-reviewed articles across IEEE, Springer, and international computer science journals. Focus areas cover cloud computing optimization, heterogeneous networks, and machine intelligence.

Key Domains: Agri-Tech E-Commerce Price Prediction & Modeling LSTM & Deep Learning Combinatorial Auctions MANET Collaborative Routing
Book Chapter Jan 2024
Springer Chapter

Vegetable Price Forecasting Using ARIMA and VAR Modeling

Authors: Tumpa Banerjee, Deepshika Gurung

Abstract: Price forecasting of agricultural products has gained the attention of researchers to help farmers, policymakers, and insurance companies. Price forecasting has been studied by time series analysis over a long decade.

ARIMA VAR Modeling Time Series Price Forecasting APMC Markets
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Book Chapter Jan 2024
Peer-Reviewed

Vegetable Yield Prediction: A Review and Experimental Evaluation of Algorithms

Authors: Tumpa Banerjee, Bikramadittya Bagchi

Abstract: Predicting yield at the regional level is crucial for developing agricultural policies and identifying effective strategies of marketing. Forecasting vegetable supply in a market helps sellers to set prices for the vegetables and decide which vegetable will be more profitable for them. 

Yield Prediction Agricultural Algorithms Agri-Food Supply Chain Climate Factors
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Journal Article (Applied Intelligence) Jun 2022 • Applied Intelligence (Springer)
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Long term and short term forecasting of horticultural produce based on the LSTM network model

Authors: Tumpa Banerjee, Shreyashee Sinha, Prasenjit Choudhury

Abstract: Forecasting the price of agricultural produce helps growers decide planting, harvesting, and trading time. This paper investigates deep learning LSTM architectures for long-term and short-term price forecasting of horticultural products.

Springer LSTM / Deep Learning Agricultural Economics
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Book Chapter Jan 2022
Digital Agro-Markets

Dynamic Price Prediction of Agricultural Produce for E-Commerce Business Model: A Linear Regression Model

Authors: Tumpa Banerjee, Shreyashee Sinha, Prasenjit Choudhury

Abstract: Price instability due to erratic supply, seasonality, and information disparity is the fundamental issue of the agricultural commodity market. Proposes dynamic pricing models adjusting in digital agro-markets.

Book Chapter Price Prediction E-Commerce Linear Regression
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Journal Article (PEN) Jun 2019 • Periodicals of Engineering and Natural Sciences (PEN)
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Implementing E-Commerce model for Agricultural Produce: A Research Roadmap

Authors: Tumpa Banerjee, Monalisa Mishra, Narayan C. Debnath, Prasenjit Choudhury

Abstract: The advancement in technology and the increase in usage of Internet access has revolutionized the landscape of agriculture using E-Commerce to promote uniformity across integrated markets and eliminate information asymmetry.

Journal Article Agri-Tech E-Commerce Market Integration
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Journal Article Jun 2019
Agricultural Economics

Implementing E-Commerce model for Agricultural Produce: Static vs Dynamic Pricing Framework

Authors: Tumpa Banerjee, Monalisa Mishra, Narayan C. Debnath, Prasenjit Choudhury

Abstract: Examining architectural roadmaps, static and dynamic pricing, supply-demand volatility, and perishable commodity logistics in electronic agricultural trading.

Agricultural produce Dynamic Pricing Perishable Supply Chain
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Journal Article (PEN) Apr 2019 • Periodicals of Engineering and Natural Sciences (PEN)
Peer-Reviewed

Implementing E-Commerce model for Agricultural Produce: Foundational Roadmap

Authors: Tumpa Banerjee, Monalisa Mishra, Narayan C. Debnath, Prasenjit Choudhury

Abstract: A foundational exploration into electronic commerce frameworks designed for agricultural produce, addressing digital market barriers in developing economies.

PEN Journal E-Commerce Architecture
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Conference Paper Jan 2016
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Efficient Combinatorial Auction Mechanisms in Electronic Commerce

Authors: Tumpa Banerjee, Dinesh Kumar Pradhan, Prasenjit Choudhury

Abstract: Electronic commerce is the trading of products or services via internet. Explores combinatorial auction mechanisms to maximize profit under high demand scenarios while preserving fair pricing.

Conference Proceeding Auction Mechanisms Combinatorial Algorithms
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Conference Paper Jan 2016
MANET Research

An Auction based VCG Mechanism to Promote Collaboration in MANET

Authors: Tumpa Banerjee, Munshi Alam, Prasenjit Choudhury

Abstract: Presents a Vickrey-Clarke-Groves (VCG) auction-based game-theoretic mechanism to promote collaborative routing and packet forwarding in Mobile Ad-hoc Networks (MANET).

MANET VCG Mechanism Game Theory & Networking
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Departmental Governance • Master of Computer Applications

Leading the MCA Department at Siliguri Institute of Technology

Pioneering hands-on technical competencies, institutional regulatory compliance, and industry collaboration across North Bengal and national ecosystems.

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AICTE & MAKAUT Compliance

Standardized modern laboratory infrastructure, faculty-to-student ratios, and curriculum revisions meeting the latest National Education Policy (NEP 2020) frameworks.

check_circle 100% Curricular Adherence
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SIT Hackathons & Code Labs

Founded the annual SIT-MCA Developer Summit and regional inter-college competitive coding symposiums to instill algorithmic problem-solving before campus placements.

emoji_events 450+ Student Participants Annual
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Industry Academia Linkages

Established active Memorandums of Understanding (MoUs) with leading regional IT parks and national tech companies for structured 6-month graduate student internships.

corporate_fare 12+ Corporate Partnerships
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High Placement Trajectory

Departmental graduates placed across major multinational technology services providers including TCS, Cognizant, Wipro, Capgemini, and rapid-growth SaaS startups.

stars 92% Placement Track Record
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Faculty Development Initiatives

Organised FDP on Data Science, Computer Vision and Generative AI,Outcome-based Education and NEP AI to empower departmental educators with emerging pedagogical Tools.

groups_2 15+ Faculty Trained Annually
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State-of-the-Art Computing Labs

Equipped high-performance computing clusters with dedicated Linux workstations, GPU modules for deep learning models, and high-speed gigabit institutional fiber backbones.

lan 120+ Workstation Laboratory
Institutional Communications • Office Directory

Office Hours & Academic Inquiries

Connect directly for research collaborations, conference keynotes, student thesis advisement, and administrative departmental matters.

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Official Address

Department of Master of Computer Applications (MCA)
Siliguri Institute of Technology
Techno India Group, Hill Cart Road, Sukna, Siliguri
Darjeeling, West Bengal, PIN - 734009, India

HOD Executive Office Room 304, Academic Block A
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Institutional Email

Official communication channel for administrative, academic, and research correspondence.

hod-mca@sittechno.edu.in
schedule Response timeline: 24–48 institutional hrs
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Advisement & Office Hours

Mon – Wed 02:30 PM – 04:30 PM (Lab)
Thu – Fri 11:00 AM – 01:00 PM (HOD)
Saturday By Research Appointment
verified Prior booking for doctoral research scholars
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Campus Location & Navigation

Siliguri Institute of Technology Main Campus • Foothills of Eastern Himalayas

pin_drop Hill Cart Road, Sukna Campusdomain Gate 1 / Academic Block ACoordinates: 26.7905° N, 88.3615° E
commute Accessible via NH-55 (Hill Cart Road), 5 km from Siliguri Junction, 30 mins from Bagdogra International Airport (IXB).map Open in Google Maps Fullscreen open_in_new