BIT Mesra
BIT Mesra
NIT Patna
NIT Patna
E&ICT NIT Patna
E&ICT, NIT Patna
MeitY
MeitY

Artificial Intelligence for Hyperspectral Data Analytics

[ AI-HYDA 2026 ] Spectral Intelligence: The AI-Driven Frontier of Data Analytics

An interdisciplinary FDP exploring AI-driven hyperspectral data analytics, integrating remote sensing with machine learning and deep learning for real-world applications and intelligent decision-making.

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BIT MesraBirla Institute of Technology, Mesra
NIT PatnaNIT Patna
E&ICTE & ICT Academy, NIT Patna
DST
SERB — Dept. of Science & Technology, GoI
DQEDS
Dept. of Quantitative Economics & Data Science
About the Programme

This Faculty Development Programme provides an interdisciplinary platform for faculty members and researchers to explore the transformative potential of Artificial Intelligence in Hyperspectral Data Analytics. The programme bridges classical remote sensing with modern AI-driven approaches, covering the complete pipeline from image acquisition to intelligent decision-making.

Participants will gain comprehensive, hands-on experience in hyperspectral preprocessing, dimensionality reduction, machine learning, deep learning architectures, and domain applications in agriculture, environment, defence, and medical imaging.The FDP is designed to enhance research capability and equip participants with contemporary tools for effective teaching and applied research.

Organised By

Department of Quantitative Economics & Data Science (DQEDS), Birla Institute of Technology, Mesra, Ranchi – 835215, Jharkhand, in collaboration with E&ICT Academy, NIT Patna under the SERB Accelerate Vigyan scheme.

About BIT Mesra & DQEDS

Birla Institute of Technology (Mesra), founded in 1955 in Ranchi, Jharkhand, is a pioneer in space engineering and rocketry. Recognised as a Deemed University in 1986, the institute is spread across a 780-acre green campus comprising 20 Departments and Centres with modern infrastructure for multidisciplinary research.

The Department of Quantitative Economics and Data Science (DQEDS), established in 2021, provides fundamental knowledge in data sciences, enhances analytical capabilities, and supports practical applications.

1955
BIT Mesra Founded
780
Acre Campus
20
Depts & Centres
4.5★
Google Rating
AI-HYDA Application Domains: Agriculture, Environment, Defence, Medical, Climate, Geology
AI-HYDA Application Domains
Agriculture Environment Defence Medical Imaging Climate Geology
Leadership & Coordination

Programme Steering Committee

VC
★ Chief Patron
Prof. Indranil Manna
Vice Chancellor
Birla Institute of Technology, Mesra
Chairman
Chairperson
Prof. Vandana Bhattacharjee
Head, DQEDS
Birla Institute of Technology, Mesra
Convenor
Coordinator
Dr. Manish Kumar Pandey
Assistant Professor
DQEDS, BIT Mesra, Ranchi
Co-Coordinator 1
Co-Coordinator
Dr. Ratnesh Mishra
Assistant Professor
BIT Mesra, Patna Campus
Co-Coordinator 2
Co-Coordinator
Mr. Abhay Kumar
Assistant Professor
University Polytechnic, BIT Mesra, Ranchi

Organizing Committee

Dedicated faculty members and professionals contributing to the successful organization of AI-HYDA 2026.

Prof. Ashoke Sharon
Dean (Faculty Affairs), BIT Mesra
Prof. Shradha Shivani
Dean (Alumni & Int'l Relations), BIT Mesra
Prof. Sandeep Singh Solanki
Dean (PG Studies), BIT Mesra
prof. Manish Kumar
Dean (Admissions & Accreditation), BIT Mesra
Prof. Gautam Sarkhel
Dean (UG Studies), BIT Mesra
Prof. Raju Poddar
Dean (Research & Innovation), BIT Mesra
Prof. Prasanta Roy
Dean (Infrastructure & Planning), BIT Mesra
Prof. Praveen Srivastava
Dean (Student Affairs), BIT Mesra
Prof. Vijaya Laxmi
Director, University Polytechnic, BIT Mesra
Prof. Ranjeet Kr Singh
Joint Director, DHTE, Govt. of Jharkhand
Dr. Mrinal Jana
QEDS, BIT Mesra
Dr. Tina Dutta
QEDS, BIT Mesra
Dr. Shrimoyee Ganguly
QEDS, BIT Mesra
Dr. Saheli Bose
QEDS, BIT Mesra
Dr. Kusum Lata Mishra
QEDS, BIT Mesra
Dr. Pushkal Kumar
QEDS, BIT Mesra
Dr. Lakhsman Mahto
QEDS, BIT Mesra
Dr. Ashkamini
QEDS, BIT Mesra
Dr. Sunny Bhushan
QEDS, BIT Mesra
Dr. Suman Mahapatra
QEDS, BIT Mesra
Dr. Bhaskar Kushvaha
QEDS, BIT Mesra
Dr. Shubhojeet Paul
QEDS, BIT Mesra
Prof. A.P. Krishna
Dept. of RS & Geoinformatics, BIT Mesra
Dr. Virendra Singh Rathore
Dept. of RS & Geoinformatics, BIT Mesra
Dr. Kirti Avishek
Dept. of RS & Geoinformatics, BIT Mesra
Dr. Swagata Payra
Dept. of RS & Geoinformatics, BIT Mesra
Mr. Nitish Kumar Sinha
Dept. of RS & Geoinformatics, BIT Mesra
Prof. Vijay Kumar Singh
Secretary, IETE Ranchi, Jharkhand

Student Coordinators

Dedicated research scholars from QEDS, BIT Mesra actively contributing to coordination and execution of AI-HYDA 2026.

Neeraj Kumar Maurya
Neeraj Kumar Maurya
PhD Scholar, QEDS, BIT Mesra
Parth Surydhwaj
Parth Surydhwaj
PhD Scholar, QEDS, BIT Mesra
Bhola Mahto
Bhola Mahto
PhD Scholar, QEDS, BIT Mesra
Sk Habibul Rehman
Sk Habibul Rehman
PhD Scholar, QEDS, BIT Mesra
Vanitha Palanisamy
Vanitha Palanisamy
PhD Scholar, QEDS, BIT Mesra
Anirban Das
Anirban Das
PhD Scholar, QEDS, BIT Mesra
Payel Ghosh Dastidar
Payel Ghosh Dastidar
PhD Scholar, QEDS, BIT Mesra
Riya Pandey
Riya Pandey
PhD Scholar, QEDS, BIT Mesra
Programme Schedule

5-Day Programme Schedule

8th – 12th June 2026 · DQEDS, Birla Institute of Technology, Mesra, Ranchi

Day 1 · 8 June
Intro to Hyperspectral Data & AI
  • HS imaging principles & overview
  • AI/ML fundamentals
  • Data visualization in Python
  • Sensor types & data formats
Day 2 · 9 June
Preprocessing & Feature Extraction
  • Noise reduction & calibration
  • Atmospheric correction
  • PCA, ICA, LDA, t-SNE
  • Python preprocessing hands-on
Day 3 · 10 June
Machine Learning for HS Analytics
  • SVM, Random Forest, k-NN
  • Clustering & unsupervised methods
  • Model evaluation metrics
  • Scikit-learn practicals
Day 4 · 11 June
Deep Learning & Advanced AI
  • CNN architectures for HS data
  • Autoencoders & compression
  • Transfer learning strategies
  • Explainable AI in TensorFlow
Day 5 · 12 June
Applications, Projects & Trends
  • Agriculture & environment use cases
  • Defence & medical applications
  • Group project presentations
  • Valedictory & certificates
Academic Curriculum

Six Modules. Complete Coverage.

Theory, practical sessions, and domain case studies across all 5 days.

Module 01
Fundamentals of Hyperspectral Imaging
  • Remote sensing & imaging spectroscopy
  • Hyperspectral imaging principles
  • Sensors: AVIRIS, Hyperion, Sentinel-2
  • Data formats & visualization
  • Spectral signature interpretation
Module 02
Preprocessing & Dimensionality Reduction
  • Radiometric & atmospheric correction
  • Noise reduction & normalization
  • Band selection & feature extraction
  • PCA, ICA, LDA, t-SNE
  • Python preprocessing practicals
Module 03
Machine Learning for Hyperspectral Data
  • Supervised: SVM, Random Forest, k-NN
  • Unsupervised: K-means, DBSCAN
  • Feature selection & evaluation
  • Scikit-learn classification pipeline
  • Decision Trees & ensemble methods
Module 04
Deep Learning Approaches
  • Neural networks & CNN architectures
  • CNNs for hyperspectral classification
  • Autoencoders & compression
  • Transfer learning for HS datasets
  • TensorFlow lab sessions
Module 05
Advanced Topics & Research Trends
  • Explainable AI (XAI)
  • Edge AI & real-time processing
  • AI in agriculture, environment & defence
  • Data fusion & temporal analysis
  • Cloud-based AI & case studies
Module 06
Pedagogical & Practical Integration
  • AI & remote sensing in curriculum
  • Designing student projects
  • Ethics & responsible AI
  • Group projects & presentations
  • Valedictory & certificate ceremony
Expected Outcomes — AI-HYDA 2026

What Participants Will Gain

01
Comprehend Fundamentals
Understand structure, properties, and challenges of hyperspectral data and its significance in remote sensing applications across diverse domains.
02
Apply AI & ML Techniques
Use modern AI and ML algorithms for spectral analysis, classification, and object detection in hyperspectral domains.
03
Implement Practical Workflows
Deploy AI-based analytical pipelines using Python, TensorFlow, Scikit-learn, and QGIS on real hyperspectral datasets.
04
Enhance Teaching & Research
Integrate AI-based methodologies into teaching practices, research guidance, and student projects.
05
Promote Interdisciplinary Work
Foster collaboration across computer science, environmental science, geoinformatics, and defence.
06
Improve Industry Readiness
Prepare learners for growing demand for AI proficiency in geospatial analysis and environmental monitoring.
Advisory Committee — AI-HYDA 2026

Expert Advisory Panel

Eminent scientists and professors from leading Indian institutions guiding the programme.

Dr. Prakash Chauhan
Director, NRSC, Hyderabad
NRSC
Dr. R.P. Singh
Director, IIRS
IIRS
Prof. Jeganathan Chockalingam
Vice Chancellor, Sarala Birla University
Vice Chancellor
Prof. A S Raghuvanshi
Director, IESD, BHU
BHU
Prof. Rajeev Tripathi
Former Vice-Chancellor, RGPV, Bhopal, Former Director MNNIT
MNNIT, Prayagraj
Dr. Rajiv Misra
Prof. & Head, IIT Patna
IIT Patna
Prof. R K Mall
DST-MCECCR, BHU
BHU
Dr. Desikan Ramakrishnan
IIT Bombay
IIT Bombay
Dr. Bimal K. Bhattacharya
ISRO, Ahmedabad
ISRO
Prof. R.N. Sahoo
Principal Scientist, IARI
IARI
Dr. Prashant K. Srivastava
IESD, BHU
BHU
Dr. Ajay Kumar
National Vice President, IETE
IETE
Past Programme — 2022

HYDA 2022 — Two-Week High-End Workshop

The SERB-sponsored Two-Week High-End Workshop on HYDA-22 was organised by CQEDS, BIT Mesra under the Karyashala scheme of SERB-DST, gathering researchers from Agriculture, Forestry, Oceans, Geology, Environment, Defence, Climate Change, and Medical Science alongside Computer Science and Data Science professionals. Resource persons from IITs, ISRO, DRDO, IARI, and national universities delivered the full Hyperspectral Data Analytics pipeline.

Workshop Objectives
  • Background knowledge of Hyperspectral Sensing and imaging principles
  • Data collection from Hyperspectral Sensors or UAVs and its processing
  • Hyperspectral Data Analytics — Descriptive, Predictive, Prescriptive, Preventive
  • Hands-on experience of Hyperspectral Image Processing
  • Skill-building from Data Science perspective and AI benefits in decision making
  • Case studies in Agriculture, Forestry, Environment, Defence, Climate Change, Medical
HYDA 2022 — Organising Committee
Chief Patron: Prof. Indranil Manna, Vice Chancellor, BIT Mesra
Convener: Dr. Manish K. Pandey, CQEDS, BIT Mesra
Members: Prof. Kunal Mukhopadhyay · Prof. C. Jeganathan · Dr. Ritesh Kumar Singh · Prof. Soumyen Sikdar · Dr. Abhishek Naresh · Dr. Mrinal Jana · Dr. Tamalika Koley
2 Weeks
25 July – 6 August 2022
25
Participants
6+
Domains
Agri, Env, Geo, Defence, Forest, Medical
Past Programme — 2023

VRITIKA 2023 — SERB-DST Skill Internship

“VRITIKA is the call for initiation and practice in science through Training and Skill Internship.”

The SERB-sponsored four-week Training and Skill Internship on “Hyperspectral Data Analytics” was organised by DQEDS, BIT Mesra from 3rd July to 30th July 2023. Distributed in 42 sessions over 28 days, hands-on training in open-source Python covered the complete data science life cycle.

Beginning with data collection from Hyperspectral Sensors and UAVs all the way to model building and visualization — participants gained practical expertise in the full hyperspectral analytics pipeline.

“Hyperspectral Data Analytics would be a game changer. The data-centric approach is crucial for tackling 21st-century issues.”

— Prof. Indranil Manna, Vice Chancellor, BIT Mesra (Valedictory, VRITIKA 2023)

Applications received from leading institutions across India:

IIT RoorkeeIIT GuwahatiCentral University GujaratGovt. College, CoimbatoreCentral University South BiharBanaras Hindu UniversityDayalbagh Educational InstituteSarala Birla University, Ranchi
28
Days Duration
July 3 – July 30, 2023
42
Sessions
Intensive Python & Data Science
12
Applications
Pan-India from top institutions
5
Participants
Shortlisted via selection committee
Program Impact

Skilled resources from this program are filling the critical gap of researchers in Space Science and Hyperspectral Data Analytics in India. Participants came from Agriculture, Forestry, Oceans, Geology, Environment, Defence, Climate Change, and Medical Science.

In the News

Media Coverage

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HYDA 2022 Coverage
Dainik Jagran HYDA 2022
Dainik Jagran
कार्यशाला में देश भर के वक्ताओं ने रिमोट सेंसिंग की दी जानकारी
5 August 2022 · Print Edition
View Full Coverage
VRITIKA 2023 Coverage
Khabar Aaj Tak 1
Khabar Aaj Tak
बीआइटी ऑफ़ टेक्नोलॉजी द्वारा वृतिका इंटर्नशिप का आयोजन
July 31, 2023 · Digital
View Full Coverage
Khabar Aaj Tak 2
Khabar Aaj Tak
SERB-DST वृतिका — हाइपरस्पेक्ट्रल डेटा ऐनालिटिक्स विस्तृत विवरण
July 31, 2023 · Digital
View Full Coverage
Prabhat Khabar 1
Prabhat Khabar
हाइपरस्पेक्ट्रल डेटा ऐनालिटिक्स होगा गेम चेंजर — बीआइटी मेसरा वीसी
July 30, 2023 · 6:58 PM IST
View Full Coverage
Prabhat Khabar Print
Prabhat Khabar — Print
बीआइटी मेसरा में डाटा साइंस प्रशिक्षण कार्यक्रम का समापन
July 2023 · Print
View Full Coverage
Utkal Mail
Utkal Mail
बिड़ला इंस्टीट्यूट ऑफ़ टेक्नोलॉजी द्वारा वृतिका इंटर्नशिप का आयोजन
July 2023 · Regional Print
View Full Coverage
How to Reach Us

BIT Mesra — Location & Directions

BIT Mesra is located in Mesra, Ranchi, Jharkhand on a sprawling 780-acre green campus — approximately 16 km from Ranchi city centre and 10 km from Birsa Munda Airport.

📍
Address
Birla Institute of Technology, Mesra
Ranchi – 835215, Jharkhand, India
📞
Contact
+91 651 227 5444 (Institute)
+91-7388140147 (Dr. Manish Kumar Pandey)
🕐
Office Hours
Mon–Fri: 9:00 AM – 5:30 PM
FDP Dates: 8–12 June 2026
🗺
Coordinates
23.4123° N, 85.4399° E
Open in Google Maps →
✈️
By Air
Birsa Munda Airport (IXR) — approx. 10 km. Taxis available.
🚂
By Train
Ranchi Railway Station — approx. 14 km. Auto-rickshaws & taxis.
🚌
By Bus
State buses from Ranchi Bus Stand to Mesra. Direct routes.
🏠
Accommodation
On-campus hostel with catering for selected participants.
🗺 Open in Google Maps
BIT Mesra, Ranchi
8–12 June 2026 · DQEDS, BIT Mesra

Register for AI-HYDA 2026

Open to faculty, researchers, and PhD scholars from Universities, Engineering Colleges, Degree Colleges, and ITI/Diploma Institutions across Jharkhand, UP, Bihar, Odisha, and Northeastern States.

Dates
8th – 12th June 2026
Venue
Birla Institute of Technology Mesra, Ranchi – 835215
Duration
5 Days · 9:00 AM – 5:30 PM
Seats
80 (Selection Based)
Composition
Preferably, 50% faculty members and 50% research scholars.
Mode
In-Person · Fully Residential
Fee
₹500 per participant
Participant Benefits
  • Selection based on recommendation of selection committee
  • Selected candidates informed by email — provide valid email ID
  • Accommodation in Hostels with catering facilities
  • TA reimbursement for travel to BIT Mesra from home institute
  • All stationery and consumable items provided
  • Certificate of successful completion issued
Registration QR
Scan to Register
AI-HYDA 2026 · Application Form
Registration QR Code
Scan to open
registration form
Payment QR
Scan & Pay
₹500 · UPI · Indian Bank
Payment QR Code
GPay · PhonePe · Paytm · BHIM
Bank Transfer Details
Bank Indian Bank
Name E AND ICT ACADEMY
Account No 50380476798
IFSC IDIB000B810
Organising Coordinator
Dr. Manish Kumar Pandey
Assistant Professor, DQEDS
Birla Institute of Technology, Mesra
Ranchi – 835215, Jharkhand, India
Important Dates
Registration Opens
21 March 2026
Last Date to Apply
28 April 2026
Selection Intimation
08 May 2026
Programme Dates
8–12 June 2026
About the Host City

Ranchi — City of Waterfalls

Ranchi, the capital of Jharkhand, is popularly known as the “City of Waterfalls” with a pleasant moderate climate and proximity to multiple waterfalls, hills, and forests within 70–100 km. BIT Mesra sits on a lush 780-acre campus providing an ideal setting for intensive academic engagement.

The city offers easy connectivity by air, rail, and road, and was the summer capital of Bihar until Jharkhand was carved out in 2000.

835215
BIT Mesra PIN
780 Acres
Green Campus
~20 km
From Airport
4.5 ★
Google Rating
BIT Mesra Main Building
BIT Mesra Main Building — Ranchi, Jharkhand (Founded 1955)
Research Infrastructure

Our Research Labs

Click any lab logo to download the Research Handbook for that laboratory.