HALDIA INSTITUTE OF TECHNOLOGY

Actionable insights and analytics for skill development and training success.

ACADEMICS DASHBOARDS

B.Tech Overview

Programme-wise enrolment and academic performance report

M.Tech & MCA

Postgraduate programme progress and outcome report


ATTENDANCE DASHBOARDS

Student Attendance

Semesterwise attendance overview across departments

Faculty Attendance

Faculty presence and engagement tracking report

PLACEMENT DASHBOARDS

Placement Summary

Overall placement statistics and company-wise report

Placement Analytics

Year-on-year placement trend and performance analysis

Top Recruiters

Industry-wise and company-wise recruiter report

Internship

Internship opportunities and student participation report

RESEARCH DASHBOARDS

Publications

Faculty and student research publication overview

Patents

Filed and granted patent analytics report

Funded Projects

Government and industry funded research project report

KEY DEPARTMENT DASHBOARDS

CSE

Computer Science & Engineering department overview

Information Technology

IT department performance and student analytics

ECE

Electronics & Communication Engineering report

Electrical Engineering

EE department academic and training insights

Mechanical Engineering

ME department performance and lab utilization

Civil Engineering

CE department progress and infrastructure report

CSE (AI & ML)

Artificial Intelligence & Machine Learning overview

CSE (Cyber Security)

Cyber Security specialization analytics

CSE (Data Science)

Data Science programme performance report

BioTechnology

Biotech department research and academic report

Food Technology

Food Tech department overview and lab report

MBA

Management programme analytics and placement report

Logo
Doctor of Philosophy

Ph.D.
Program

Embark on a transformative research journey — innovate, discover, and contribute to global knowledge across cutting-edge disciplines

300+
Ph.D. Scholars
80+
Research Supervisors
500+
Publications/Year
15+
Research Centers
Research Lab
Innovation Driven

About the Ph.D. Program

Our Ph.D. program is designed to nurture independent researchers who push the boundaries of knowledge across science, engineering, and humanities. With world-class facilities, renowned faculty, and interdisciplinary collaboration, we empower scholars to make impactful contributions.

The program emphasizes rigorous coursework, original research, and international publications, preparing graduates for careers in academia, industry, and R&D organizations worldwide.

Full-Time & Part-Time Options
Generous Fellowships
Global Collaborations
Publication Support
State-of-the-Art Labs
Industry Partnerships

Areas of Research

Explore cutting-edge research domains supervised by leading faculty

Computer Science & AI

Advanced research in machine learning, deep learning, natural language processing, computer vision, and quantum computing.

AI / ML NLP Quantum Computing Computer Vision Cybersecurity
18 Faculty Supervisors

Electronics & Communication

Research in VLSI design, wireless communication, signal processing, IoT, 5G/6G networks, and embedded systems.

VLSI 5G / 6G IoT Signal Processing Embedded Systems
15 Faculty Supervisors

Mechanical Engineering

Focus on robotics, advanced manufacturing, thermal engineering, fluid dynamics, and sustainable energy systems.

Robotics Manufacturing Thermal Systems Renewable Energy Fluid Dynamics
12 Faculty Supervisors

Civil & Infrastructure

Research on structural engineering, smart cities, transportation, geotechnical engineering, and sustainable construction.

Smart Cities Structural Analysis Geotechnical Transportation Green Building
10 Faculty Supervisors

Physics & Material Science

Advanced studies in nanomaterials, quantum mechanics, semiconductor physics, and optical physics applications.

Nanomaterials Quantum Physics Semiconductors Optics Condensed Matter
8 Faculty Supervisors

Management & Economics

Research in business analytics, supply chain management, organizational behavior, finance, and innovation management.

Business Analytics Supply Chain Finance Marketing Innovation
11 Faculty Supervisors

Eligibility Criteria

Check if you meet the requirements to pursue a Ph.D.

Full-Time Ph.D.

  • M.Tech / M.E. / M.Sc. / MBA with CGPA ≥ 6.5
  • Valid GATE / NET / GMAT / CAT score (as applicable)
  • B.Tech with CGPA ≥ 8.0 (direct admission to Ph.D.)
  • Age: No upper limit
  • Research proposal required at interview stage
  • Monthly fellowship of ₹37,000 – ₹41,000 (as per norms)

Part-Time / Sponsored Ph.D.

  • M.Tech / M.E. / M.Sc. / MBA with CGPA ≥ 6.5
  • Minimum 2 years of industry / academic experience
  • NOC from current employer (for sponsored candidates)
  • Age: No upper limit
  • Weekend / flexible course attendance allowed
  • No fellowship (self-funded or employer-sponsored)

Admission Process

Simple 5-step journey to begin your doctoral journey

1
Online Application

Submit application with academic records and SOP

2
Entrance Test

Written test on research methodology & subject knowledge

3
Research Proposal

Submit detailed research proposal (shortlisted candidates)

4
Interview Round

Presentation and Q&A with faculty panel

5
Final Selection

Offer letter issued to selected candidates

Research Facilities

World-class infrastructure to support cutting-edge research

Advanced Research Labs

25+ specialized labs with latest equipment across all domains

Central Library

Access to 10,000+ journals, e-books, and digital research databases

High-Performance Computing

Cluster computing facility with 500+ cores for simulation & modeling

Funding Support

Research grants, conference funding, and publication support

Innovation Center

Patent filing, prototyping, and startup incubation facilities

Collaborative Spaces

Discussion rooms, seminar halls, and interdisciplinary labs

International Tie-Ups

Exchange programs and joint research with 40+ global universities

Scholar Housing

Separate hostel blocks for Ph.D. scholars with all amenities

Distinguished Faculty

Learn from pioneers and thought leaders in their fields

Faculty
AI & Machine Learning
Dr. Rajesh Kumar
Professor, CSE

Ph.D. MIT | 100+ Publications | IEEE Fellow

Faculty
VLSI & IoT
Dr. Priya Menon
Professor, ECE

Ph.D. Stanford | 12 Patents | INAE Fellow

Faculty
Robotics
Dr. Arun Sharma
Professor, Mechanical

Ph.D. Carnegie Mellon | Robotics Pioneer

Faculty
Nanomaterials
Dr. Kavita Reddy
Professor, Physics

Ph.D. Cambridge | 80+ Publications

Apply for Ph.D. Program

Take the first step towards a transformative research career. Submit your application and our admissions team will guide you through the process.

Fellowship up to ₹41,000/month
Research Grants & Conference Funding
International Collaboration Opportunities
Publication & Patent Support
State-of-the-Art Research Infrastructure

🎓 Ph.D. Application

Shape the Future Through Research

Join a community of scholars driving innovation and discovery

Start Your Application
Admission
Enquiry