Lecture/Demo
Schedule
|
Time
Slot |
November
13 (Monday) |
November
14 (Tuesday) |
November
15 (Wednesday) |
November
16 (Thursday) |
November
17 (Friday) |
November
18 (Saturday) |
|
8.00
AM – 9.00 AM |
Registration |
|
|
|
|
|
|
9.00
AM - 10.30 AM |
Inaugural
Function
|
L5 KSR (GA) |
L9/L10
KSR (ANN/GA-A) |
L13:
BB (MCS) |
L17/L18 AKG
(ANN-A)/ DJS
(ANN-A) |
L23:
SM (GEN) |
L1:
AWD
(FL)
| ||||||
TEA
BREAK | ||||||
|
10.45
AM – 12.15 PM |
L2:
AWD (FL) |
L6: LSR
(GA-A) |
L11/L12 SKB (ANN-A1,
A2) |
L14/L15
SKB (FL-A/DM) |
L19 SD (CM) |
L24/L25
DB
(ANN-A)/
AM
(ANN-A)
|
LUNCH
BREAK | ||||||
|
2.00
PM - 3.30 PM |
L3: SKB
(ANN) |
L7:
ND (FL-A) |
D3: MATLAB/NISA
Demo |
L16:
ASG
(GA-A)
|
L20:
MAR (GA-A) |
L26/L27 SKB (CA/IBL) |
TEA
BREAK | ||||||
|
3.45
PM - 5.15 PM |
L4:
AWD (FL-A) |
L8: VRD (ANN-A) |
D3: MATLAB/NISA
Demo |
L16:
ASG (GA-A) |
L21:
KSR (ACO)
|
Valedictory
Function |
|
5.30
PM - 6.30 PM |
D1:
|
D2: |
D3: MATLAB/NISA
Demo |
D4: |
L22: MMG (FL-A) |
|
|
| ||||||
|
Lecture Number |
Topic
|
Speaker |
|
L1 |
Primer
on Fuzzy Logic |
Ashok
W Deshpande(AWD) |
|
L2 |
Fuzzy
Logic Applications to Environment Management Systems: Case Studies
|
Ashok
W Deshpande (AWD) |
|
L3 |
Artificial
Neural Networks: An Introduction |
Sudhirkumar
Barai (SKB) |
|
L4 |
Fuzzy
Fault Tree Analysis: A Case Study |
Ashok
W Deshpande (AWD) |
|
L5 |
An
Introduction to Genetic Algorithms |
K
Sudhakar Reddy (KSR) |
|
L6 |
Genetic
Algorithms In Structural Optimization Problems |
L
S Ramachandra (LSR) |
|
L7 |
Fuzzy
Logic Based Active Control of Structures |
Nirjhar
Dhang (ND) |
|
L8 |
Drought
Forecasting Using Standardized Precipitation Index
(SPI) |
V
R Desai
(VRD) |
|
L9 |
Use
of Artificial Neural Networks for Backcalculation of Layer
Moduli |
K
Sudhakar Reddy (KSR) |
|
L10 |
Artificial
Neural Network-Genetic Algorithm Based Model for Backcalculation of
Pavement Layer Moduli |
K.
Sudhakar Reddy (KSR) |
|
L11 |
Neural
Networks Applications in Structural Engineering |
Sudhirkumar
Barai (SKB) |
|
L12 |
Parallel
Implementation Neuro Models for Structural Engineering
Problems |
Sudhirkumar
Barai (SKB) |
|
L13 |
Monte
Carlo Simulations in Engineering |
Baidurya
Bhattacharya (BB) |
|
L14 |
Damage
Assessment of Railway Steel Bridges: Fuzzy Logic
Approach |
Sudhirkumar
Barai (SKB) |
|
L15 |
Examples
of Data Mining in Transportation Engineering |
Sudhirkumar
Barai (SKB) |
|
L16 |
Slope
Stability Analysis by Genetic Algorithm |
Aniruddha
Sengupta (ASG) |
|
L17 |
An
Application of Artificial Neural Networks to the Prediction of Air
Pollution Concentrations |
A
K Gupta (AKG) |
|
L18 |
Application
of Artificial Neural Networks in Hydrology and Environmental Flows
|
Dhrubajyoti
Sen (DJS) |
|
L19 |
Time-Variation
of Scour at Abutments |
Subhasish
Dey (SD) |
|
L20 |
Application
of Genetic Algorithms Technique for Estimation of Pavement Layer
Moduli |
M
Amaranatha Reddy (MAR) |
|
L21 |
Application
of Ant Colony Optimization for Pavement
Evaluation |
K.
Sudhakar Reddy (KSR) |
|
L22 |
Knowledge
Base System for Design and Start-Up of UASB
Reactor |
M
M Ghangrekar (MMG) |
|
L23 |
Machine
Evaluation of Originality in Research Contributions (in
Engineering) |
S
Majumdar (SM) |
|
L24 |
An
Investigation in Modelling a Traffic Engineering Problem using Neural
Network |
Debasis
Basu (DB) |
|
L25 |
Performance
Evaluation of Artificial Neural Networks in Daily River Discharge
Prediction- A Case Study of Lower
Godavari River, India |
A
Mani (AM) |
|
L26 |
Structural
Optimization Using Cellular Automata |
Sudhirkumar
Barai (SKB) |
|
L27 |
Instance
Based Learning Models for Liquefaction Potential
Assessment |
Sudhirkumar
Barai (SKB) |
|
D1 |
Demo
- Kolkata
Navigator: A Proficient Route Finder |
Richa,
Erima Goyal, Sheekha Shweta
Srivastava, Sreeja Nag |
|
D2 |
Demo-
Facial
Expression Analysis using Neural Networks |
Rishi
Gupta, Anuj Sharma, Arun
Kumar Rout |
|
D3 |
Demo-
MATLAB/NISA |
Cranes
Software |
|
D4 |
Demo-
Searching
of Music Files using Tone Signature Detection using Fuzzy
Logic |
Akshay
Mishra, Amod Jain Deepak
Pushpakar, Sushovan De |