Criteria adopted for shortlisting PhD applications (Regular, Direct, ERP and Part-Time) Area of Research: Signal Processing/Communication/Equivalent
Selection: July 2020 Admissions
● Criteria for Regular category:
1. BTech/BE and M.Tech/M.E./M.S. (GEN/OBC/EWS: 75% or 8.0; SC/ST: 70% or 7.5) 2. 1st preference for PhD specialization as Signal Processing/Communication or equivalent In case of B.Tech. degree only:
3. BTech/BE (GEN/OBC/EWS: 75% or 8.0; SC/ST: 70% or 7.5) 4. Valid GATE score for candidate other than CFTI
5. 1st and 2nd preferences for PhD specialization as Signal Processing/Communication or Equivalent Number of candidates shortlisted:
GEN =34 OBC =10 EWS=04 SC =07 ST=01
● Criteria for Direct PhD category:
1. BTech/BE (GEN/OBC/EWS: 75% or 8.0; SC/ST: 70% or 7.5) 2. Valid GATE score for candidate other than CFTI
3. 1st and 2nd preferences for PhD specialization as Signal Processing/Communication or Equivalent Number of candidates shortlisted:
GEN =04 OBC =00 EWS=00 SC =00 ST=00
● Criteria for ERP category:
1. Minimum 2 years of work experience 2. As per advertisement
3. 1st preference for PhD specialization as Signal Processing/Communication or Equivalent Number of candidates shortlisted:
GEN =01 OBC =00 EWS=00 SC =00 ST=00
● Criteria for PART-TIME category:
2. Minimum 2 years of work experience 3. As per advertisement
4. 1st preference for PhD specialization as Signal Processing/Communication or equivalent Number of candidates shortlisted:
GEN =06 OBC =00 EWS=01 SC =00 ST=00
By using the above shortlisting criteria, following number of candidates are short-listed:
● Regular PhD
Number of applications received: 453 Number of shortlisted candidates: 56 See ANNEXURE I
● Direct PhD
Number of applications received: 35 Number of shortlisted candidates: 04 See ANNEXURE II
● ERP
Number of applications received: 05 Number of shortlisted candidates: 01 See ANNEXURE III
● PART-TIME
Number of applications received: 14 Number of shortlisted candidates: 07 See ANNEXURE IV
● Mode of examination = Online Interview (For syllabus refer ANNEXURE V)
● Date of examination = June 05 and June 06, 2020
ANNEXURE I: Shortlisted candidates for REGULAR PhD Programme
No. SID Full name Category
1 36235 SAGAR JAIN GEN
2 36258 JASLEEN KAUR GEN
3 36306 MANU SEHGAL GEN
4 36521 SACHIN SHARMA GEN
5 36535 MEGHNA GEN
6 37109 REETIKA BANERJEE GEN
7 37500 STAV GOSWAMI GEN
8 38155 ATHAR NAZIR SOFI GEN
9 38251
ASHUTOSH CHANDRASHEKHAR
KULKARNI GEN
10 38591 MOUPRIYA GANGULY GEN
11 38765 PRIYA MISHRA GEN
12 40489 MALIKA GARG GEN
13 40660 NIPUN SHARMA GEN
14 40752 AMRITA SINGH GEN
15 40791 VANDNA PATIYAL GEN
16 41120 ARTI RANA GEN
17 41157 PRABIR KUMAR DAS GEN
18 41168 PRIYA RANA GEN
19 41221 PANKAJ TIWARI GEN
20 41461 TANIMA GEN
21 41473 UJJWAL SINGH GEN
22 41485 NEHA TIWARI GEN
23 41509 ANKITA DEY GEN
24 41568 RITUJOY BISWAS GEN
25 41574
SHUBHAM MANOJKUMAR
PANDEY GEN
26 41673 KAVITA BHATT GEN
27 41738 NAMITA SHARMA GEN
28 41843 SHRUTI GEN
29 41873 PRERNA SINGH GEN
30 42100 NEETI GEN
31 42105 PRIYANKA MISHRA GEN
32 42116 SUVEER GULERIA GEN
33 42204 VISHAL ASHOK PALLED GEN
34 42285 ANANYA BHATTACHARJEE GEN
1 36884 MAHIMA PATEL OBC
2 37359 SHUBHAM RAMESH TIKLE OBC
3 37565 MONIKA SAHU OBC
4 38233 VASUNDHARA OBC
5 40622 GARIMA GILL OBC
6 40963 RIDDHI MOHAN BORA OBC
7 41126 PRIYANKA KUMARI OBC
8 41740 GOJE BHAGYASHREE TRILOKDAS OBC
9 42014 GAGANDEEP OBC
10 42365 SHWETA PAL OBC
1 36721 JAGDEEP KAUR EWS
2 40535 RITESH KUMAR EWS
3 40835 MOHIT KUMAR SINGH EWS
4 41668 AKANKSHA GUPTA EWS
1 37528 ARPITA BHARTI SC
2 38056 NAGU VADLANA SC
3 38412 SAMPURNA DE SC
4 40501 SUNIL KUMAR SC
5 40664 NAVDEEP SINGH SC
6 41977 HIMANI VAROLIA SC
7 42337 SALONI SC
1 42066 NANAVATH KIRAN SINGH NAYAK ST
ANNEXURE II: Shortlisted candidates for Direct PhD Programme
No. SID Full name Category
1 37660 ANIMESH DATTA GEN
2 38255
ASHUTOSH CHANDRASHEKHAR
KULKARNI GEN
3 40528 SANKHASUBHRA NANDI GEN
4 41560 VISHAL ASHOK PALLED GEN
ANNEXURE III: Shortlisted candidates for ERP PhD Programme
No. SID Full name Category
1 38320 SASWATI PARAMITA GEN
ANNEXURE IV: Shortlisted candidates for PART TIME PhD Programme
No. SID Full name Category
1 38984 KANISHK KHANNA GEN
2 40789 GAURISH JOSHI GEN
3 40878 MUNISH PATIAL GEN
4 41231 PURAM BALA VAMSHI KRISHNA GEN
5 41248 VINAY KUMAR SINGH GEN
6 41913 JYOTI MISHRA GEN
1 36481 LALIT NEGI EWS
# Any applicant who satisfies the above mentioned criteria, but his/her name is not in the list can also appear for online interview on mentioned dates (Please contact Dr. S. Murala, EED, IIT Ropar , [email protected]). Provided he/she has already applied within due date.
Criteria adopted for shortlisting PhD applications (Regular, Direct, ERP and Part-Time) Area of Research: Signal Processing/Communication/Equivalent
Selection: July 2020 Admissions ( Extended Deadline )
● Criteria for Regular category:
5. BTech/BE and M.Tech/M.E./M.S. (GEN/OBC/EWS: 75% or 8.0; SC/ST: 70% or 7.5) 6. 1st preference for PhD specialization as Signal Processing/Communication or equivalent In case of B.Tech. degree only:
7. BTech/BE (GEN/OBC/EWS: 75% or 8.0; SC/ST: 70% or 7.5) 8. Valid GATE score for candidate other than CFTI
5. 1st and 2nd preferences for PhD specialization as Signal Processing/Communication or Equivalent Number of candidates shortlisted:
GEN =04 OBC =02 EWS=00 SC =01 ST=00
● Criteria for Direct PhD category:
1. BTech/BE (GEN/OBC/EWS: 75% or 8.0; SC/ST: 70% or 7.5) 2. Valid GATE score for candidate other than CFTI
3. 1st and 2nd preferences for PhD specialization as Signal Processing/Communication or Equivalent Number of candidates shortlisted:
GEN =01 OBC =00 EWS=00 SC =00 ST=00
● Criteria for ERP category:
5. Minimum 2 years of work experience 2. As per advertisement
3. 1st preference for PhD specialization as Signal Processing/Communication or Equivalent Number of candidates shortlisted:
GEN =00 OBC =00 EWS=00 SC =00 ST=00
● Criteria for PART-TIME category:
6. Minimum 2 years of work experience 7. As per advertisement
8. 1st preference for PhD specialization as Signal Processing/Communication or equivalent Number of candidates shortlisted:
GEN =01 OBC =00 EWS=01 SC =00 ST=00
By using the above shortlisting criteria, following number of candidates are short-listed:
● Regular PhD
Number of applications received: 62 Number of shortlisted candidates: 07 See ANNEXURE I
● Direct PhD
Number of applications received: 07 Number of shortlisted candidates: 01 See ANNEXURE II
● ERP
Number of applications received: 02 Number of shortlisted candidates: 00 See ANNEXURE III
● PART-TIME
Number of applications received: 04 Number of shortlisted candidates: 01 See ANNEXURE IV
● Mode of examination = Online Interview (For syllabus refer ANNEXURE V)
● Date of examination = June 07, 2020
ANNEXURE I: Shortlisted candidates for REGULAR PhD Programme
No. SID Full name Category
1 42507 RIDHIMA GEN
2 42522 RUBEENA AAFREEN GEN
3 42595 ATUL SHARMA GEN
4 42736 ANSHIKA KESARI GEN
1 42425 RITA CHOUDHARY OBC
2 42691 RANTU BURAGOHAIN OBC
1 42496 AADITI BANDUPANT MORE SC
ANNEXURE II: Shortlisted candidates for Direct PhD Programme
No. SID Full name Category
1 42757 ABEER BANERJEE GEN
ANNEXURE III: Shortlisted candidates for ERP PhD Programme
No. SID Full name Category
--- --- --- ---
ANNEXURE IV: Shortlisted candidates for PART TIME PhD Programme
No. SID Full name Category
1 42575 GAJANAN SHIVAJI CHOUDHARI GEN
# Any applicant who satisfies the above mentioned criteria, but his/her name is not in the list can also appear for online interview on mentioned dates (Please contact Dr. S. Murala, EED, IIT Ropar, [email protected]). Provided he/she has already applied within due date.
ANNEXURE V: Syllabus for Online Interview
The written examination for short listing the candidates for interview would comprise of two parts – Part A (General) andPart B (Research Area). Part A would be mandatory for all. WhereasPart B will have two sections: (a) Communication &
Electromagnetic theory, (b) Image processing & DSP. Among these two sections of Part B, candidates can choose one of them.
The Syllabus for the Part A and Part B written test is:
Part – A (General)
Engineering Mathematics:Vector space, basis, linear dependence and independence, matrix algebra, eigen values and eigen vectors, rank, solution of linear equations – existence and uniqueness. Calculus: Mean value theorems, theorems of integral
calculus, evaluation of definite and improper integrals, partial derivatives, maxima and minima, multiple integrals, line, surface and volume integrals, Taylor series. Differential Equations: First order equations (linear and nonlinear), higher order linear differential equations, Cauchy's and Euler's equations, methods of solution using variation of parameters, complementary function and particular integral, partial differential equations, variable separable method, initial and boundary value problems.
Vector Analysis: Vectors in plane and space, vector operations, gradient, divergence and curl, Gauss's, Green's and Stoke's theorems. Complex Analysis: Analytic functions, Cauchy's integral theorem, Cauchy's integral formula; Taylor's and Laurent's series, residue theorem. Numerical Methods: Solution of nonlinear equations, single and multi-step methods for differential equations, convergence criteria. Probability and Statistics: Mean, median, mode and standard deviation; combinatorial probability, probability distribution functions - binomial, Poisson, exponential and normal; Joint and conditional probability;
Correlation and regression analysis.
Signals and Systems : Fourier series and Fourier transform representations, sampling theorem and applications; Discrete-time signals: discrete-time Fourier transform (DTFT), DFT, FFT, Z-transform, interpolation of discrete-time signals; LTI systems:
definition and properties, causality, stability, impulse response, convolution, poles and zeros, parallel and cascade structure, frequency response, group delay, phase delay, digital filter design techniques.
Part – B (Research Area) a) Signal Processing/Communication or equivalent:
Communications:Autocorrelation and power spectral density, properties of white noise, filtering of random signals through LTI systems; Analog communications: amplitude modulation and demodulation, angle modulation and demodulation, spectra of AM and FM, superheterodyne receivers, circuits for analog communications; Information theory: entropy, mutual information and channel capacity theorem; Digital communications: PCM, DPCM, digital modulation schemes, amplitude, phase and frequency shift keying (ASK, PSK, FSK), QAM, MAP and ML decoding, matched filter receiver, calculation of bandwidth, SNR and BER for digital modulation; Fundamentals of error correction, Hamming codes; Timing and frequency synchronization, intersymbol interference and its mitigation; Basics of TDMA, FDMA and CDMA.
Electromagnetics: Electrostatics; 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; Waveguides: modes, boundary conditions, cut-off frequencies, dispersion relations; Antennas: antenna types, radiation pattern, gain and directivity, return loss, antenna arrays; Basics of radar;
Light propagation in optical fibers.
b) Image and Video Processing or equivalent:
Digital Signal Processing: Sampling and aliasing. Discrete Fourier transform (DFT) and properties, comparison between circular convolution and linear convolution, linear convolution from circular convolution. Direct evaluation of the DFT, The fast Fourier transform, Decimation-in-time (DIT) algorithm, Decimation-in-frequency (DIF) algorithm, differences and similarities between DIT and DIF algorithms and inverse DFT (IDFT). Frequency selective filters, design of digital filters from analog filters, design of lowpass, highpass, bandpass and band stop filters, design of IIR filters from analog filters, realization of digital filters. Linear phase FIR filters, frequency response of linear phase FIR filters and location of zeros, Design of FIR filters using windows, realization of FIR filters.
Digital Image Analysis: Digital image fundamentals; Image Enhancement in Spatial Domain; Gray Level Transformation, Histogram Processing, Spatial Filters; image Transforms; Fourier Transform and their properties, Fast Fourier Transform; Image Enhancement in Frequency Domain; Colour Image Processing; Image warping and restoration; Image Compression; Image Segmentation; edge detection, Hough transform, region based segmentation; Morphological operators; Representation and Description; Features based matching and Bayes classification; Introduction to some computer vision techniques; Imaging geometry.
