Doctoral Degree Programs| IcfaiTech Hyderabad

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Doctoral Degree Programs

Doctoral Degree Programs

Duration

4 Years

Eligibility

Students with minimum 60% marks in aggregate (overall percentage; not only in majoring subject) or CGPA 6 on a 10-point scale in Master’s degree from any university recognized by UGC are eligible.

Admission Calendar

Last Date for Submission of completed Application Form: April 01, 2025

Apply Now

Welcome to the Ph.D Program at ICFAI Tech Hyderabad.

The IcfaiTech offers Full time/ Part time Doctoral Program in the disciplines of Engineering/Technology, Sciences and English. Applications are invited from bright and aspiring students committed to excellence to apply for admission to Ph.D. Program for the academic year 2025-2026 (January 2026).

Financial Assistantship

Full time Ph.D. students admitted into the Ph.D. programme are eligible to be considered for an institute fellowship up to Rs. 40,000 /- per month. Candidates who do not possess any GATE, CSIR and INSPIRE, will be eligible for institute fellowship.

Ph.D Entrance Syllabus

Structural Engineering:

Engineering Mechanics: System of forces, free-body diagrams, equilibrium equations; Internal forces in structures; Frictions and its applications; Centre of mass; Free Vibrations of undamped SDOF system.

Solid Mechanics: Bending moment and shear force in statically determinate beams; Simple stress and strain relationships; Simple bending theory, flexural and shear stresses, shear centre; Uniform torsion, Transformation of stress; buckling of column, combined and direct bending stresses.

Structural Analysis: Statically determinate and indeterminate structures by force/ energy methods; Method of superposition; Analysis of trusses, arches, beams, cables and frames;

Displacement methods: Slope deflection and moment distribution methods; Influence lines; Stiffness and flexibility methods of structural analysis.

Construction Materials and Management: Construction Materials: Structural Steel – Composition, material properties and behaviour; Concrete – Constituents, mix design, short-term and long-term properties.

Construction Management: Types of construction projects; Project planning and network analysis – PERT and CPM; Cost estimation.

Concrete Structures: Working stress and Limit state design concepts; Design of beams, slabs, columns; Bond and development length; Prestressed concrete beams.

Steel Structures: Working stress and Limit state design concepts; Design of tension and compression members, beams and beam- columns, column bases; Connections – simple and eccentric, beam-column connections, plate girders and trusses; Concept of plastic analysis – beams and frames.

Geotechnical Engineering:

Soil Mechanics: Three-phase system and phase relationships, index properties; Unified and Indian standard soil classification system; Permeability – one dimensional flow, Seepage through soils – two – dimensional flow, flow nets, uplift pressure, piping, capillarity, seepage force; Principle of effective stress and quicksand condition; Compaction of soils; One- dimensional consolidation, time rate of consolidation; Shear Strength, Mohr’s circle, effective and total shear strength parameters, Stress-Strain characteristics of clays and sand; Stress paths.

Foundation Engineering: Sub-surface investigations – Drilling bore holes, sampling, plate load test, standard penetration and cone penetration tests; Earth pressure theories – Rankine and Coulomb; Stability of slopes –Finite and infinite slopes, Bishop’s method; Stress distribution in soils – Boussinesq’s theory; Pressure bulbs, Shallow foundations – Terzaghi’s and Meyerhoff’s bearing capacity theories, effect of water table; Combined footing and raft foundation; Contact pressure; Settlement analysis in sands and clays; Deep foundations – dynamic and static formulae, Axial load capacity of piles in sands and clays, pile load test, pile under lateral loading, pile group efficiency, negative skin friction.

Water Resources Engineering:

Fluid Mechanics: Properties of fluids, fluid statics; Continuity, momentum and energy equations and their applications; Potential flow, Laminar and turbulent flow; Flow in pipes, pipe networks; Concept of boundary layer and its growth; Concept of lift and drag.

Hydraulics: Forces on immersed bodies; Flow measurement in channels and pipes; Dimensional analysis and hydraulic similitude; Channel Hydraulics – Energy-depth relationships, specific energy, critical flow, hydraulic jump, uniform flow, gradually varied flow and water surface profiles.

Hydrology: Hydrologic cycle, precipitation, evaporation, evapo-transpiration, watershed, infiltration, unit hydrographs, hydrograph analysis, reservoir capacity, flood estimation and routing, surface run-off models, groundwater hydrology – steady state well hydraulics and aquifers; Application of Darcy’s Law.

Irrigation: Types of irrigation systems and methods; Crop water requirements – Duty, delta, evapo-transpiration; Gravity Dams and Spillways; Lined and unlined canals, Design of weirs on permeable foundation; cross drainage structures.

Environmental Engineering:

Water and Waste Water Quality and Treatment: Basics of water quality standards – Physical, chemical and biological parameters; Water quality index; Unit processes and operations; Water requirement; Water distribution system; Drinking water treatment.

Sewerage system design, quantity of domestic wastewater, primary and secondary treatment. Effluent discharge standards; Sludge disposal; Reuse of treated sewage for different applications.

Air Pollution: Types of pollutants, their sources and impacts, air pollution control, air quality standards, Air quality Index and limits.

Municipal Solid Wastes: Characteristics, generation, collection and transportation of solid wastes, engineered systems for solid waste management (reuse/ recycle, energy recovery, treatment and disposal).

Transportation Engineering:

Transportation Infrastructure: Geometric design of highways – cross-sectional elements, sight distances, horizontal and vertical alignments. Geometric design of railway Track – Speed and Cant, Concept of airport runway length, calculations and corrections; taxiway and exit taxiway design.

Highway Pavements: Highway materials – desirable properties and tests; Desirable properties of bituminous paving mixes; Design factors for flexible and rigid pavements; Design of flexible and rigid pavement using IRC codes.

Traffic Engineering: Traffic studies on flow and speed, peak hour factor, accident study, statistical analysis of traffic data; Microscopic and macroscopic parameters of traffic flow, fundamental relationships; Traffic signs; Signal design by Webster’s method; Types of intersections; Highway capacity.

Geomatics Engineering:

Principles of surveying; Errors and their adjustment; Maps – scale, coordinate system; Distance and angle measurement – Levelling and trigonometric levelling; Traversing and triangulation survey; Total station; Horizontal and vertical curves.

Digital Logic - Boolean algebra, Combinational and sequential circuits, Minimization, Number representations and computer arithmetic (fixed and floating-point).

Computer Organization and Architecture - Machine instructions and addressing modes, ALU, data-path and control unit, Instruction pipelining, pipeline hazards Memory hierarchy: cache, main memory and secondary storage; I/O interface (interrupt and DMA mode)

Programming and Data Structures - Programming in C, Recursion, Arrays, stacks, queues, linked lists, trees, binary search trees, binary, heaps, graphs.

Algorithms - Searching, sorting, hashing, Asymptotic worst-case time and space complexity, Algorithm design techniques: greedy, dynamic programming and divide-and-conquer, Graph traversals, minimum spanning trees, shortest paths.

Theory of Computation - Regular expressions and finite automata, Context-free grammars and push-down automata, Regular and contex-free languages, pumping lemma Turing machines and undecidability.

Compiler Design - Lexical analysis, parsing, syntax-directed translation, Runtime environments, Intermediate code generation, Local optimization, Data flow analyses: constant propagation, liveness analysis, common subexpression elimination

Operating System - System calls, processes, threads, inter-process communication, concurrency and synchronization, Deadlock, CPU and I/O scheduling, Memory, management and virtual memory, File systems

Databases - ER-model, Relational model: relational algebra, tuple calculus, SQL, Integrity constraints, normal forms, File organization, indexing (e.g., B and B+ trees), Transactions and concurrency control

Computer Networks - Concept of layering: OSI and TCP/IP Protocol Stacks, Basics of the packet, circuit and virtual circuit switching

Datalink layer: framing, error detection, Medium Access Control, Ethernet bridging, Routing protocols: shortest path, flooding, distance vector and link-state routing

Fragmentation and IP addressing, IPv4, CIDR notation, Basics of IP support protocols (ARP, DHCP, ICMP), Network Address Translation (NAT), Transport layer: flow control and congestion control, UDP, TCP, sockets, Application layer protocols: DNS, SMTP, HTTP, FTP, Email

Circuit Theory and Analysis: Node and mesh analysis, superposition, Thevenin's theorem, Norton’s theorem, reciprocity. Sinusoidal steady state analysis: phasors, complex power, maximum power transfer. Time and frequency domain analysis of linear circuits: RL, RC and RLC circuits, solution of network equations using Laplace transform.

Continuous-time Signals: Fourier series and Fourier transform, sampling theorem and applications.

Discrete-time Signals: DTFT, DFT, z-transform, discrete-time processing of continuous-time signals. LTI systems: definition and properties, causality, stability, impulse response, convolution, poles and zeroes, frequency response, group delay, phase delay.

Electronic Devices: Energy bands in intrinsic and extrinsic semiconductors, equilibrium carrier concentration, direct and indirect band-gap semiconductors. Carrier Transport: diffusion current, drift current, mobility and resistivity, generation and recombination of carriers, Poisson and continuity equations. P-N junction, Zener diode, BJT, MOS capacitor, MOSFET, LED, photo diode and solar cell.

Analog Circuits : Diode Circuits: clipping, clamping and rectifiers. BJT and MOSFET Amplifiers: biasing, ac coupling, small signal analysis, frequency response. Current mirrors and differential amplifiers. Op-amp Circuits: Amplifiers, summers, differentiators, integrators, active filters, Schmitt triggers and oscillators.

Digital Circuits Number Representations: binary, integer and floating-point- numbers. Combinational circuits: Boolean algebra, minimization of functions using Boolean identities and Karnaugh map, logic gates and their static CMOS implementations, arithmetic circuits, code converters, multiplexers, decoders. Sequential Circuits: latches and flip-flops, counters, shift-registers, finite state machines, propagation delay, setup and hold time, critical path delay. Data Converters: sample and hold circuits, ADCs and DACs.

Control Systems : Basic control system components; Feedback principle; Transfer function; Block diagram representation; Signal flow graph; Transient and steady-state analysis of LTI systems; Frequency response; Routh-Hurwitz and Nyquist stability criteria; Bode and root-locus plots; Lag, lead and laglead compensation; State variable model and solution of state equation of LTI systems.

Analog Communications: Amplitude modulation and demodulation, angle modulation and demodulation, spectra of AM and FM, super heterodyne receivers. Information Theory: entropy, mutual information and channel capacity theorem. Digital Communications: PCM, DPCM, digital modulation schemes (ASK, PSK, FSK, QAM), bandwidth, inter-symbol interference, MAP, ML detection, matched filter receiver, SNR and BER. Fundamentals of error correction, Hamming codes, CRC

Electromagnetics: Maxwell’s Equations: differential and integral forms and their interpretation, boundary conditions, wave equation, Poynting vector. Plane Waves and Properties: reflection and refraction, polarization, phase and group velocity, propagation through various media, skin depth.

Transmission Lines: Equations, characteristic impedance, impedance matching, impedance transformation, S-parameters, Smith chart. Rectangular and circular waveguides, light propagation in optical fibers, dipole and monopole antennas, linear antenna arrays.

Real Analysis:

Finite, Countable, and Uncountable Sets, Metric Spaces, Compact Sets, and Connected Sets. Limits of Functions, Continuous Functions, Continuous and Compactness, Continuity and Connectedness, Discontinuities, Monotone Functions, Infinite Limits, and Limits at Infinity. The Continuity of Derivatives of Higher Order – Taylor’s Theorem, Differentiation of Vector-Valued Functions. Definition and Existence of the Integral, Properties of The Integral, Integration, and Differentiation, Integration of Vector-Valued Functions.

Complex Analysis:

Analytic Functions and Harmonic Functions, Cauchy – Riemann Equations, Sufficient Conditions. Contour Integration, Cauchy – Goursat Theorem, Antiderivatives, Integral Representation for Analytic Functions, Theorems of Morera and Liouville and Some Applications, Uniform Convergence of Series, Taylor, and Laurent Series Representations, Singularities, Zeros and Poles, Applications of Taylor and Laurent Series. Residue Theorem, Calculus of Residues.

Differential Equations:

Ordinary Differential Equations, Existence and Uniqueness of Solutions of Initial Value Problems for First Order Ordinary Differential Equations, Singular Solutions of First Order Ordinary Differential Equations, Boundary Value Problems: Green’s Function, Partial Differential Equations: Lagrange and Charpit Methods, Cauchy Problem.

Linear Algebra:

Vector Spaces, Subspaces, Quotient Spaces, Linear Independence and Dependence, Bases and Dimension, Kernel, Range, Isomorphism, Matrix Representation of Linear Transformation, Dual Spaces Cayley – Hamilton Theorem, Canonical Forms, Inner Product Spaces.

Functional Analysis:

Normed spaces, Continuity of linear maps, Hahn-Banach Extension and Separation Theorems, Banach spaces, Uniform Boundedness Principle and its applications, Closed Graph Theorem, Open Mapping Theorem and their applications, Examples of compact operators on normed spaces, Inner product spaces, Hilbert spaces, Orthonormal basis.

Engineering Mathematics:

Linear Algebra:

Matrix algebra, systems of linear equations, eigen values and eigen vectors.

Calculus:

Functions of single variable, limit, continuity and differentiability, mean value theorems, indeterminate forms; evaluation of definite and improper integrals; double and triple integrals; partial derivatives, total derivative, Taylor series (in one and two variables), maxima and minima, Fourier series; gradient, divergence and curl, vector identities, directional derivatives, line, surface and volume integrals, applications of Gauss, Stokes and Green’s theorems.

Differential equations:

First order equations (linear and nonlinear); higher order linear differential equations with constant coefficients; Euler-Cauchy equation; initial and boundary value problems; Laplace transforms; solutions of heat, wave and Laplace's equations.

Complex variables:

Analytic functions; Cauchy-Riemann equations; Cauchy’s integral theorem and integral formula; Taylor and Laurent series.

Probability and Statistics:

Definitions of probability, sampling theorems, conditional probability; mean, median, mode and standard deviation; random variables, binomial, Poisson and normal distributions.

Numerical Methods:

Numerical solutions of linear and non-linear algebraic equations; integration by trapezoidal and Simpson’s rules; single and multi-step methods for differential equations.

Applied Mechanics and Design:

Engineering Mechanics:

Free-body diagrams and equilibrium; friction and its applications including rolling friction, belt-pulley, brakes, clutches, screw jack, wedge, vehicles, etc.; trusses and frames; virtual work; kinematics and dynamics of rigid bodies in plane motion; impulse and momentum (linear and angular) and energy formulations; Lagrange’s equation.

Mechanics of Materials:

Stress and strain, elastic constants, Poisson's ratio; Mohr’s circle for plane stress and plane strain; thin cylinders; shear force and bending moment diagrams; bending and shear stresses; concept of shear centre; deflection of beams; torsion of circular shafts; Euler’s theory of columns; energy methods; thermal stresses; strain gauges and rosettes; testing of materials with universal testing machine; testing of hardness and impact strength.

Theory of Machines:

Displacement, velocity and acceleration analysis of plane mechanisms; dynamic analysis of linkages; cams; gears and gear trains; flywheels and governors; balancing of reciprocating and rotating masses; gyroscope.

Vibrations:

Free and forced vibration of single degree of freedom systems, effect of damping; vibration isolation; resonance; critical speeds of shafts.

Machine Design:

Design for static and dynamic loading; failure theories; fatigue strength and the SN diagram; principles of the design of machine elements such as bolted, riveted and welded joints; shafts, gears, rolling and sliding contact bearings, brakes and clutches, springs.

Fluid Mechanics and Thermal Sciences:

Fluid Mechanics:

Fluid properties; fluid statics, forces on submerged bodies, stability of floating bodies; control-volume analysis of mass, momentum and energy; fluid acceleration; differential equations of continuity and momentum; Bernoulli’s equation; dimensional analysis; viscous flow of incompressible fluids, boundary layer, elementary turbulent flow, flow through pipes, head losses in pipes, bends and fittings; basics of compressible fluid flow.

Heat-Transfer:

Modes of heat transfer; one dimensional heat conduction, resistance concept and electrical analogy, heat transfer through fins; unsteady heat conduction, lumped parameter system, Heisler's charts; thermal boundary layer, dimensionless parameters in free and forced convective heat transfer, heat transfer correlations for flow over flat plates and through pipes, effect of turbulence; heat exchanger performance, LMTD and NTU methods; radiative heat transfer, StefanBoltzmann law, Wien's displacement law, black and grey surfaces, view factors, radiation network analysis

Thermodynamics:

Thermodynamic systems and processes; properties of pure substances, behavior of ideal and real gases; zeroth and first laws of thermodynamics, calculation of work and heat in various processes; second law of thermodynamics; thermodynamic property charts and tables, availability and irreversibility; thermodynamic relations.

Applications:

Power Engineering: Air and gas compressors; vapour and gas power cycles, concepts of regeneration and reheat. I.C. Engines: Air-standard Otto, Diesel and dual cycles. Refrigeration and air-conditioning: Vapour and gas refrigeration and heat pump cycles; properties of moist air, psychrometric chart, basic psychrometric processes. Turbomachinery: Impulse and reaction principles, velocity diagrams, Pelton-wheel, Francis and Kaplan turbines; steam and gas turbines.

Materials, Manufacturing and Industrial Engineering:

Engineering Materials:

Structure and properties of engineering materials, phase diagrams, heat treatment, stress-strain diagrams for engineering materials.

Casting, Forming and Joining Processes:

Different types of castings, design of patterns, moulds and cores; solidification and cooling; riser and gating design. Plastic deformation and yield criteria; fundamentals of hot and cold working processes; load estimation for bulk (forging, rolling, extrusion, drawing) and sheet (shearing, deep drawing, bending) metal forming processes; principles of powder metallurgy. Principles of welding, brazing, soldering and adhesive bonding.

Machining and Machine Tool Operations:

Mechanics of machining; basic machine tools; single and multi-point cutting tools, tool geometry and materials, tool life and wear; economics of machining; principles of non-traditional machining processes; principles of work holding, jigs and fixtures; abrasive machining processes; NC/CNC machines and CNC programming.

Metrology and Inspection:

Limits, fits and tolerances; linear and angular measurements; comparators; interferometry; form and finish measurement; alignment and testing methods; tolerance analysis in manufacturing and assembly; concepts of coordinate-measuring machine (CMM).

Computer Integrated Manufacturing:

Basic concepts of CAD/CAM and their integration tools; additive manufacturing.

Production Planning and Control:

Forecasting models, aggregate production planning, scheduling, materials requirement planning; lean manufacturing.

Inventory Control:

Deterministic models; safety stock inventory control systems.

Operations Research:

Linear programming, simplex method, transportation, assignment, network flow models, simple queuing models, PERT and CPM.

Mathematical Methods of Physics:

Dimensional analysis, Vector algebra and vector calculus, Linear algebra, matrices, Cayley-Hamilton theorem, Eigenvalues and Eigenvectors, functions (Hermite, Bessel, Laguerre, Legendre), Fourier series, Fourier and Laplace transform Taylor and Laurent series, elementary probability theories, distributions (binomial, Poisson, normal), Central limit theorem, Differential equations of first and second orders, complex analysis, analytical functions, poles, residues, and evaluations of integrals.

Classical Mechanics:

Newton’s laws of motion, Dynamical systems, phase-space dynamics, Stability analysis, Theories of relativity (Lorentz transformations, relativistic kinematics, mass-energy equivalence), Conservation laws and cyclic coordinates, periodic motions (oscillations and normal modes), Generalized coordinates, rigid body dynamics (moment of inertia tensor, non-inertial frames, and pseudo-forces), variational principle, Langrangian and Hamiltonian formalism and equations of motion.

Electromagnetic Theory:

Electrostatics and its applications, Laplace and Poisson equations, Boundary value problems Magnetostatics, electromagnetic induction, free space and linear isotropic media, Scalar and vector potentials, Fresnel’s law, interference, coherence, diffraction, gauge invariance, electromagnetic waves, dielectrics, and conductors, Reflection and refraction, Polarisation Dynamics of charged particles in static fields, Uniform electromagnetic fields.

Quantum Mechanics:

Wave-particle duality, Eigenvalue problems (particle in a box, harmonic oscillator, etc), wave-function in coordinate and momentum representations, commutators and Heisenberg uncertainty principle, Motion in a central potential, Orbital angular momentum, angular momentum algebra, spin, the addition of angular momenta, Time-dependent/independent perturbation theory and applications, variational methods, Fermi's golden rule, Pauli exclusion principle, Stern-Gerlach experiment, Dirac notation for state vectors, Schrödinger’s equation (time dependency and independency), selection rules, identical particles, spin-statistics connection.

Thermodynamics and Statistical Physics:

Laws of thermodynamics, their consequences, and potentials (Maxwell relations, potential equilibria, chemical potential), Canonical ensembles and its types, partitional functions, phase space and states, free energy, classical and quantum statistics, Black body radiation, Planck’s distribution law, the principle of detailed balance, ideal Bose and Fermi gasses.

Electronics and Experimental Methods:

Semiconductor devices, device structure, characteristics, frequency dependence and applications, Optoelectronic devices, operational amplifiers and their applications, Digital techniques and applications, A/D and D/A converters, microprocessors, and microcontrollers, Data interpretation and analysis, Precision and accuracy, Propagation and analysis of errors, Least-square fittings.

Research and Types of research: Meaning of Research- Objectives of Research- Motivation in Research. Research methods vs Methodology. Types of research – Descriptive vs. Analytical, Applied vs. Fundamental, Quantitative vs. Qualitative, Conceptual vs. Empirical. Research Process.

Criteria of good Research. Research Formulation – Defining and formulating the research problem - Selecting the problem - Necessity of defining the problem - Importance of literature review in defining a problem – Literature review – Primary and secondary sources – reviews, treatise, monographs-patents – web as a source – searching the web - Critical literature review – Identifying gap areas from literature review - Development of working hypothesis.

Data Collection and analysis: Execution of the research - Observation and Collection of data - Methods of data collection – Modeling, Mathematical Models for research, Sampling Methods- Data processing and Analysis strategies. Data Analysis with Statistical Packages – Hypothesis-testing, Generalization-and Interpretation.

Reference Books:

Garg, B.L., Karadia, R., Agarwal, F. and Agarwal, U.K., 2002. An introduction to Research Methodology, RBSA Publishers.
Kothari, C.R., 1990. Research Methodology: Methods and Techniques. New Age International. 418p.
Sinha, S.C. and Dhiman, A.K., 2002. Research Methodology, Ess Publications. 2 volumes.
Trochim, W.M.K., 2005. Research Methods: the concise knowledge base, Atomic Dog Publishing. 270p.
Wadehra, B.L. 2000. Law relating to patents, trademarks, copyright designs and geographical indications, Universal Law Publishing.
Leedy, P.D. and Ormrod, J.E., 2004 Practical Research: Planning and Design, Prentice Hall.
Satarkar, S.V., 2000. Intellectual property rights and Copy right. Ess Publications

Ph.D Flyer

Activity	Date
Last Date for Submission of completed Application Form	April 01, 2025
Eligibility / Admission Test	April 07, 2025
Results	April 07, 2025
Personal Interviews	April 18, 2025
Reporting and Registration	April 28, 2025
Commencement of Program	May 05, 2025

Research Areas

IcfaiTech faculty are involved in cutting edge research in the following areas:

Data Science
Content-Based Image and Video Retrieval
Object Tracking in Video Sequence
Mammogram Analysis and Interpretation
Artificial Intelligence
Deep Learning and Image Processing (CNN, RNN)
Internet of Things and Wireless Sensor Networks
Cloud Computing
Computer Networks, Cyber Security and Social Media Analytics.
Blockchain Technology
Augmented and Virtual Reality
Generative AI
Data Analytics
Video analytics
Application of Machine Learning on IoT, Distributed Networks
Cloud Security and SAR INAGE Analysis

VLSI
Image Processing and Pattern Recognition
IoT and Wireless Communication Networks
Power System and Control System
Product Design
Wearable antennas, Electromagnetic bandgap structures, Defected ground structures, Wireless wearable body sensors
Speech bandwidth extension and Telephony Speech Enhancement
Substrate Integrated Waveguide (SIW) Technology
Metamaterial inspired substrate integrated circuit based multi-band filter and antenna design
Development of independent band tuning in planar multiple band filters and antennas.
Reconfigurable RF and Microwave resonator analysis and synthesis
Microwave filter and antenna design
Antennas, Microwaves, Radars, Smart transportation system, Communications
Signal Processing
Image Processing and Pattern Recognition
IoT and Wireless Communication Networks
Power System and Control System
Product Design

Additive Manufacturing - Manufacturing of prototypes for mechanical engineering domain, fabrication of pre-planning surgical models for medical community (Orthopaedic and Dental implants, Surgical planning, Drug delivery system etc) and develop Architecture models for civil and architectural engineering domains.
Machine Design - CAD Design models for manufacturing of Nano and micro machining components for aerospace applications using composite materials, Advance High Strength Steels etc.
Refrigeration - Simulation and Analysis of Vapour compression refrigeration system, Heat transfer analysis through HVAC nozzles, turbulence flow and modelling, solid cryogenic green propulsion system (IPRC 014) etc.
Robotics - Modeling, simulation, analysis and design of a controller for a robotic manipulator having five degree of freedom for lunar mission (VSSC), Use of Artificial Intelligence (AI) / Expert Systems (ES) / Machine Learning (ML) in Mission operations, Development of end effectors for spacecraft berthing and sample retrieval etc.
Autonomous land and water vehicles, Intelligent control of dynamic systems, Robot Dynamic modelling and control, Automated robotic CAPP (Computer Aided Process Planning)
Bio-Manufacturing and Optimization Techniques.

Green Construction
Innovative Construction Materials
Infrastructure Engineering & Management

Operations Research
Boolean Algebra
Fluid Dynamics
Fixed Point Theory
Commutative Algebra
Queuing Theory
Markov/Non-Markovian Analysis, and Stochastic Modeling, Computational Fluid Dynamics
Mathematical Modelling, Mathematical Physics

Experimental Solid State Physics
Applications of quantum mechanics
Mathematical Physics and Quantum optics
Laser matter interaction (Experimental): Imaging of laser induced shock waves from materials, time and spatially resolved spectral studies, laser ablation propulsion, filamentation, acoustic and radio frequency detection of shock waves.
Nonlinear Optics
Deep Learning of Dynamical Systems
Quantum Computation
Quantum computation and application of machine learning to physics

Energy storage materials: Nano-scale energy materials – synthesis and applications
Chemistry of Nano materials
Chemical Dynamics
Synthesis and applications of nano-composites based on transition metals
Heterogeneous catalysis
Environmental Science and Green chemistry
Polymers and Functional Materials, Azide-alkyne Click Chemistry, Flame retardants, Biopolymers, Polyurethanes (Foams and Coatings)
Synthesis, characterization, and Catalytic activities of Oxo-Metal complexes. Electrocatalytic water oxidation and reduction using Metal Organic Frameworks and Polyoxometalates as electrocatalysts
Organic Chemistry
Computational Chemistry
Analytical Chemistry
Pharmaceutical chemistry

Differential Psychology, Writing skills, Language Pedagogy
Applied linguistics, Language acquisition studies, Psycholinguistics
Linguistics Phonetics and Phonology Psycholinguistics Cognitive Science, English Literature
Teaching and Learning Second Language Skills and L2 Vocabulary, Second Language Acquisition, ESL Studies, Corpus Linguistics, Materials Evaluation
Second Language Writing, Academic Writing, Second Language Learning and Acquisition, CALL and MALL

The Ph.D. admissions are made through the University entrance test followed by an interview. The candidates admitted into Ph.D. programme are required to complete course work prescribed by the research committee of IcfaiTech. On successful completion of the course work, the PhD students will take up teaching assistantship, clear the Ph.D. qualifying examination and successfully defend the PhD thesis proposal. The candidates will be offered stipend from the date on which he/she qualifies in Teaching Assistantship Test conducted by IcfaiTech.

Eligibility Criteria

Students with minimum 60% marks in aggregate (overall percentage; not only in majoring subject) or CGPA 6 on a 10-point scale in Master’s degree from any university recognized by UGC are eligible. The broad areas of research and eligibility criteria in each department for both engineering and Science disciplines are as follows:

Department	Eligibility
Computer Science and Engineering	Bachelor’s degree in Computer Science and Engineering followed by a Master’s degree in an appropriate area with consistently good academic background.
Electrical, Electronics and Communication Engineering	Bachelor’s degree in Electrical/ Electronics/ Communications/ Computer Science/ Instrumentation Engineering followed by a Master’s degree in an appropriate area with consistently good academic background.
Mechanical Engineering	Bachelor’s degree in Mechanical Engineering followed by a Master’s degree in an appropriate area with consistently good academic background.
Civil Engineering	Bachelor’s degree in Civil engineering followed by a Master’s degree in an appropriate area with consistently good academic background.

We offer Full-time programs in Basic Science & Engineering

Department	Eligibility
Physics	Master’s degree in Physics.
Mathematics	Master’s degree in Mathematics / Statistics
Chemistry	Master’s degree in Chemistry / M.Pharmacy

Department	Eligibility
English	Master’s degree in English.

Candidates satisfying the minimum eligibility criteria are encouraged to apply.

Details of Written Tests

Candidates shortlisted will have to appear written examination RAPT-2025, which will be conducted for 100 min. The RAPT has two parts. Part A Research Methodology will be common to all disciplines and Part B will be discipline specific. The written Test and interviews will be conducted at IcfaiTech, IFHE Campus, Hyderabad. The details of the tests are as follows:

S.No	Test	Format	Competency assessed	Duration
1	Part A	50 Multiple choice questions	Research Methodology	50 Minutes
2	Part B	50 Multiple choice questions	Discipline subject (syllabus available on website)	50 Minutes

Selection Procedure

Selection Procedure: Candidates qualified in the written test will be called for interview and final selection is based on interview performance.

Selection Process

The Selection Process comprises of an Aptitude Test in Research Methods, Micro- presentation and an Interview. The aptitude test in Research Methods is to assess the candidates fundamental understanding in statistics. The judging panel for the micro-presentation will assess the candidate’s communication and presentation skills. The candidates are expected to prepare a power point presentation on a topic of their interest from their area of specialization and the duration should be limited to 15 minutes. The interview panel will attempt to understand the candidate’s profile and the commitment to opt for an academic career. The purpose is also to assess the intellectual abilities and the research aptitude and will focus on in-depth knowledge of the domain area that the candidate wishes to specialize in.

Contact

For any clarification on program, eligibility and admission, the candidates may contact the Ph.D. Office on the email ID research.fst@ifheindia.org Correspondence sent to any other address may not elicit any response.

Fee for Full-time Ph.D Program

The selected candidates have to pay an Admission fee of ₹ 40,000, on or before the date specified in the Enrolment Letter. The Program fee of ₹ 60,000 per Semester is provided as financial assistance by ICFAI Tech and is waived off, subject to meeting minimum academic requirements as specified by ICFAI Tech.

In the first year, all students admitted into the full-time Ph.D program will receive a fellowship of ₹40,000 per month and free on-campus accommodation.
Upon successful completion of the Ph.D qualifying examination, the fellowship will be increased to ₹45,000 per month until the student defends the thesis proposal.
After successful defence of the thesis proposal, the fellowship will be ₹50,000 per month up to the completion of four years from the date of commencement of the program, or until completion of the Ph.D, whichever is earlier.
The fellowship is offered for a maximum period of 48 months.
In lieu of this fellowship, students may be required to provide up to 10 hours per week of support in teaching, research, or administrative activities.

A Professional Development Grant of ₹30,000 per annum is provided for attending conferences, workshops, and seminars for four years.
A one-time Laptop Allowance of ₹50,000 is provided to each student.

Upon successful completion of Ph.D., students may pursue careers in organizations of their choice. They may also apply for faculty positions at IFHE or its sponsor, constituent, affiliate, or associate institutions, where their applications will be considered based on educational qualifications, performance during the Ph.D program, and availability of suitable vacancies.

In the event of withdrawal from the program, students are required to refund the fellowship and financial assistance received. Accordingly, each student must execute a Financial Assistance Agreement (with a guarantor) on the day of registration.

Fee for Part-time Ph.D Program

The selected candidates have to pay an Admission Fee of ₹ 40,000 on or before the date specified in the Enrolment Letter.

The Program fee of ₹ 60,000 per semester is to be paid for 8 semesters.

The first instalment of Program fee is to be paid on or before the date specified in the Enrolment Letter. The detailed fee schedule will be provided along with the Selection Letter. Please note that there is neither fee waiver nor fellowship/stipend for Part- time Ph.D Program candidates.

Notifications

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