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Research Centre

Research Centre

Research Centre Approved by APJ Abdul Kalam Technological University.

Research Guide	Research Topic	University	Research Scholars	Year of registration
Dr.AnilKumar M N	Image Compression Lung cancer Detection Cryptography Psuedo-random generators	KTU	Neena K A Dhanya S Shanooja M A (CERD Fellowship) Ajith S Panackal (CERD Fellowship)	2019 2019 2020 2021
Dr.AnilKumar M N	Cryptography	VTU	NIL
Dr.Krishna Kumar S	VLSI	KTU	Vinitha V	2021

Sample Attainment

The target to be achieved for each course includes two parameters:

Expected Proﬁciency /Knowledge (EP) :-

It is the grade secured by more than 50% of the total number of students in the previous university examinations.

Expected Attainment (EA) :-

Eg: From table 3.2.2.1, the Previous Attainment based on previous University Examinations is 71.35% students can score the Expected Proficiency of C grade. Expected Attainment is fixed as 30% improvement over a six year period considering 5% improvement every year.

A table showing the procedure for fixing the target for the course Solid State Devices (EC 203) is shown below:

4. Grades	>=90 % O	85% – 89% A+	80 – 85% A	70% – 80% B+	60% – 70% B	50% – 60% C	45% – 50% D	< 45% F	No: of students registered
2015
2016	0	2	1	12	34	44	7	21	121
2017	3	8	6	14	22	24	4	40	120
No: of students obtained the grade	3	10	7	26	56	68	11	61	241
Average	1.5	5	4.5	13	28	34	5.5	30.5	120.5
Average %	1.24	4.15	3.73	10.78	23.23	28.21	4.56	25.31
Cumulative %	1.24	5.39	9.13	19.91	43.14	71.35	75.91	100
	1.24	5.39	9.13	19.91	43.14	71.35	75.91	100

Target fixing
Parameter	Target obtained	Description
Expected Proficiency	C grade (50%)	71% students can score at least C grade
Expected Attainment	71.35 x1.3 = 92.76%	92.76% students should score C grade (50%) of the relevant maximum marks of COs
Expected Attainment	71.35 x1.05 = 74.92%	For the current year 74.92 % of students should score C grade (50%) of the relevant maximum marks of COs

Measuring COs attained through University Examinations

Target may be stated in terms of percentage of students getting more than the university average marks or more as selected by the Program in the final examination. For cases where the university does not provide useful indicators like average or median marks etc., the program may choose an attainment level on its own with justification.

Table 3.2.2.3: Indirect attainment and university attainment

ATTAINMENT LEVELS	TARGET
1 (Low)	50% students scoring more than EP marks out of the relevant maximum marks.
2 (Medium)	60% students scoring more than EP marks out of the relevant maximum marks.
3 (High)	70% students scoring more than EP marks out of the relevant maximum marks.

Table 3.2.2.4: Sample of Expected Course outcome attainment calculation

(Indirect assessment and University examination)

Course Outcomes	EC203.1	EC203.2	EC203.3	EC203.4	EC203.5	EC203.6
Maximum CO marks	10	10	10	10	10	10
Expected Proficiency	5	5	5	5	5	5
Expected Attainment	74.92%

Table 3.24: Course Outcome marks

Course Outcome Marks
Student Roll Nos	EC203.1	EC203.2	EC203.3	EC203.4	EC203.5	EC203.6	End Semester Grade
1	4	4	4	2	2	4	F
2	8	8	8	8	8	8	B
3	8	6	6	8	6	6	F
4	8	6	6	6	6	4	B
5	10	10	10	10	10	10	B+
6	10	10	8	8	6	6	C
7	8	6	8	8	8	8	B
8	8	8	8	8	8	6	A
9	10	8	8	8	10	8	C
10	8	8	10	8	10	8	B+
11	6	6	6	6	8	8	C
12	8	10	10	8	8	6	B
13	8	6	10	10	6	10	C
14	10	10	10	10	10	10	A
15	8	6	8	6	8	6	F
16	6	4	8	8	8	6	F
17	6	6	6	8	8	8	B
18	10	8	10	10	10	10	B+
19	6	6	6	6	6	6	B
20	10	8	10	10	10	10	F
21	6	8	6	10	6	10	B+
22	6	8	10	10	6	6	B
23	10	10	10	10	10	10	B+
24	6	8	8	8	8	8	B
25	10	8	10	6	10	6	B
26	8	8	10	8	8	6	B
27	6	6	6	6	6	6	F
28	10	8	8	8	6	6	B
29	10	10	10	8	10	6	B+
30	10	10	10	8	10	10	A
31	6	4	6	6	6	6	F
32	10	8	10	8	10	10	A
33	10	10	10	10	10	10	A+
34	8	8	10	10	10	10	C
35	10	10	10	10	10	8	B+
36	10	10	10	10	10	8	A+
37	10	10	8	8	10	6	A
38	10	10	10	10	10	10	B+
39	10	8	10	10	10	4	A+
40	10	8	10	8	10	8	B
41	8	10	8	10	8	10	FE
42	10	10	8	10	8	10	OS
43	10	8	8	6	8	10	C
44	8	6	8	6	6	8	B
45	8	8	8	8	8	8	B
46	10	10	10	8	6	8	B
47	10	10	10	10	10	8	F
48	4	4	4	4	4	2	C
49	10	10	10	10	10	10	F
50	8	8	8	8	8	8	C
51	6	8	6	8	6	6	C
52	10	10	8	8	10	8	B
53	6	6	8	6	6	6	P
54	8	10	10	8	10	8	B
55	10	10	10	10	10	10	B+
56	10	10	10	10	10	10	B
57	10	8	10	10	8	8	F
58	10	10	10	10	10	10	A+
59	10	10	8	10	8	10	B+
60	8	6	8	6	10	8	C
61	6	8	8	8	6	8	F
62	10	8	10	8	8	8	F
63	10	10	10	10	10	10	B+
64	10	10	10	10	10	10	B
65	8	8	8	8	8	8	C
66	10	8	8	8	8	6	B+
67	10	10	10	10	10	10	B
68	8	8	8	8	8	8	B
69	10	10	10	10	10	10	B+
70	10	6	10	8	10	6	F
71	6	6	6	6	6	4	P
72	8	8	8	10	10	10	A
73	10	10	8	10	6	10	B
74	10	10	10	10	8	8	B
75	8	8	8	8	8	8	B
76	8	8	8	10	10	10	B+
77	8	8	10	8	10	8	OS
78	10	10	10	10	10	8	B
79	10	8	6	6	4	4	F
80	8	6	8	6	6	6	F
81	10	10	8	10	10	6	A+
82	4	2	4	4	4	4	F
83	10	10	10	10	10	10	B
84	10	8	10	8	10	10	B+
85	10	10	10	8	10	6	C
86	8	6	6	6	6	6	F
87	10	10	8	10	8	8	F
88	8	8	8	6	10	6	B
89	10	10	10	10	10	10	B+
90	10	10	10	10	10	10	A+
91	8	8	10	10	6	8	B
92	10	8	8	8	8	8	F
93	10	8	8	8	10	6	F
94	10	10	10	8	10	8	B
95	10	10	10	10	10	8	B
No. of students Scored ≥ EP (N)	92	90	92	92	91	88	72
Attainment (N/95)%	96.84	94.74	96.84	96.84	95.79	92.63	75.79
Attainment Level	3	3	3	3	3	3	3

Measuring COs attainment through Internal Examination

DIRECT ASSESEMENT

Table 3.2.2.5(A): Measuring COs attainment through Internal Examination of EC203 (SSD)

Program : Electronics And Communication Engineering						Academic Year : 2018 – 2019
Course : Solid State Devices						Course Code : EC203
Semester : 3						Batch : A & B
Expected Proficiency of the Course EC203 : C Grade (50%)
Assessment Pattern
COs	Series 1	Series 2		Assign-ment 1	Assign-ment 2		Assign-ment 3	Assign -ment 4	Total CO Marks
EC203.1	30			10					40
EC203.2		6			20				26
EC203.3		14					10		24
EC203.4							10		10
EC203.5								10	10
EC203.6								20	20
Expected proficiency of CO1 is 50% of total marks of CO1 = 50% *40 = 20
ATTAINMENT LEVELS			TARGET
1 (Low)			50% students scoring more than EP marks out of the relevant maximum marks.
2 (Medium)			60% students scoring more than EP marks out of the relevant maximum marks.
3 (High)			70% students scoring more than EP marks out of the relevant maximum marks.

Table 3.2.2.5(B): Sample of CO attainment calculation

Course Outcomes	EC203.1	EC203.2	EC203.3	EC203.4	EC203.5	EC203.6
Maximum CO marks	40	26	24	10	10	20
Expected Proficiency	20	13	12	5	5	10
Expected Attainment	74.92%
Student Roll Nos	Course Outcome Marks
Student Roll Nos	EC203.1	EC203.2	EC203.3	EC203.4	EC203.5	EC203.6
1	24	5	7.5	0	0	0
2	24	16	3.5	0	0	0
3	28	16.5	9.5	8	0	0
4	24	18	12	8	0	0
5	28	10.5	12	8	10	9
6	33	26	10	4	0	0
7	24	17	14	4	5	2
8	37	20.5	9.5	6	0	0
9	22	21	6	0	0	0
10	36	13	9	0	0	0
11	31	13	15.5	9	0	0
12	24	20	6.5	0	0	0
13	28	13	12	6	0	0
14	33	26	14	5	10	2
15	29	18	14	2	0	0
16	24	11.5	12.5	7.5	5	5
17	24	20	13	6	3	15
18	40	26	15	6.5	4	14
19	25	16	18	4	0	0
20	29	26	13	1	0	0
21	32	17	14	2	0	0
22	28	14	11.5	2	9	7
23	37	26	18	1	10	10
24	29	22	13	4	0	0
25	36	6	12	0	0	0
26	37	25	17	6	0	0
27	25	18	12.5	2	0	0
28	33	14.5	15.5	2	10	9
29	34	24	14	2	10	7
30	31	15	10.5	0	10	11
31	25	12	11.5	2	0	0
32	39	26	17	6	10	15
33	33	24.5	18.5	9	0	0
34	25	6.5	13.5	0	0	0
35	33	16	13	0.5	10	10
36	38	26	17.5	5	10	9
37	34	25	12	9	10	8
38	28	25	8	4	0	0
39	34	26	14	1	10	10
40	23	26	14.5	0	0	0
41	24	15.5	4	4	0	0
42	38	26	11	0	0	0
43	40	26	17.5	8	10	14
44	27	16	5.5	3	1	6
45	29	13	12	1	5	4
46	36	22.5	15	9	4	13
47	28	26	13	2	0	0
48	32	7	12	2	0	0
49	24	12.5	5.5	0	0	0
50	29	22.5	16	3	9	6
51	24	4	11	0	5	0
52	39	20	14.5	5	0	0
53	24	18	12.5	7	0	0
54	34	19	14.5	1	0	0
55	36	26	24	9	10	14
56	32	19	15	6	5	0
57	19	12	10	5	3	3
58	40	25	21.5	10	10	18
59	38	14	19	9	10	13
60	24	12	13	0	5	5
61	24	15	12	6	8	8
62	24	17	5	0	10	10
63	35	25	23.5	10	10	16
64	29	14	9	8	0	0
65	21	21	8.5	5	6	11
66	38	26	15	8	0	0
67	35	23	15	7	0	0
68	34	23	13	8	0	0
69	34	25	17	7	9	0
70	29	3.5	9.5	0	3	8
71	21	13	15	10	6	8
72	35	26	17.5	8	10	19
73	37	23	17	7	0	0
74	28	26	17	10	10	16
75	29	16	6	5	0	0
76	36	16	11	10	10	12
77	33	22	12	10	0	0
78	34	26	15	5	9	13
79	24	19	4.5	0	7	5
80	34	22	16	2	6	9
81	38	26	18.5	9	10	18
82	29	23	4	5	0	0
83	32	16	15.5	8	8	8
84	34	26	18.5	6	9	10
85	22	19	12	8	0	0
86	24	26	4.5	5	5	0
87	24	10	12	7	0	0
88	28	12.5	16	5	10	8
89	38	15	15.5	10	10	14
90	39	14	19	5	0	5
91	25	12	11	0	0	5
92	40	26	16.5	0	5	6
93	24	12	14	1	8	6
94	30	24	19	4	9	8
95	38	16	9	3	0	0
No. of students Scored ≥ EP (N)	94	79	66	50	44	22
Attainment (N/95)% = 9400/95	98.95	83.16	69.47	52.63	46.31	23.16
Attainment Level	3	3	2	1	0	0

Course Outcome Attainment:

Table 3.2.2.6: Sample of CO attainment calculation for a course

COURSE OUTCOME ASSESSMENT
Course code:	EC203
Course name:	SOLID STATE DEVICES
COURSE OUTCOME	CO1	CO2	CO3	CO4	CO5	CO6
University attainment %	75.79	75.79	75.79	75.79	75.79	75.79
Indirect Attainment %	96.84	94.74	96.84	96.84	95.79	92.63
Direct Attainment %	98.95	83.16	69.47	52.63	46.31	23.16
Overall CO attainment %	94.1	82.844	73.471	61.683	57.154	40.633
Overall CO attainment level	3	3	3	2	2	NA
Overall Attainment	68.32%
Expected Attainment	74.92%
Expected Proficiency	C Grade (50%)

CO attainment (each) = 70% of direct assessment + 20% of university assessment + 10% of indirect assessment.

Eg: For CO1, attainment = 0.7*98.95 + 0.2* 75.79 + 0.1*96.84 = 94.1

Attainment level for CO1 is 3. (High attainment level)

Sample Course Plan

HOUR NO.	MODULE	DATE	TOPIC
1	1	02-01-2017	Differential amplifiers-introduction
2		02-03-2017	Diff amplifier config using BJT
3		02-03-2017	Large signal analysis
4		02-06-2017	small signal analysis
5		02-06-2017	Balanced output differential amp, voltage gain, input resistance, CMRR
6		02-08-2017	Unbalanced output differential amp, voltage gain, input resistnace, CMRR
7		02-10-2017	non ideal chara of differential amplifier, frequency response
8		02-10-2017	Current sources, active load
9		13/2/2017	concept of current mirror circuits
10		13/2/2017	Wilson current mirror circuits
11		15/2/2017	Op-amp:Introduction, Block diagram, Ideal opamp parameters
12		20/2/2017	Equivalent circuit, voltage transfer curve
13		20/2/2017	open loop opamp configurations
14		22/2/2017	Effect of finite openloop gain, Band width on performance
15		27/2/2017	Effect of slew rate
16		27/2/2017	voltage series feedback
17	2	03-01-2017	voltage shunt feedback
18		03-08-2017	properties of practical op-amp
19		03-10-2017	Inverting amplifier,Non inverting amplifier
20		03-10-2017	Dc and ac amplifiers
21		13/3/2017	summing amplifier, scaling and averaging amplifiers
22		13/3/2017	Instrumentation amplifier
23		15/3/2017	Test paper
24	3	17/3/2017	V-I and I-V converter
25		17/3/2017	integrator
26		18/3/2017	differentiator
27		20/3/2017	Precesion rectifers
28		20/3/2017	Log and antilog amplifiers
29		22/3/2017	RC phase shift oscillator
30		24/3/2017	Test paper
31		24/3/2017	Wien Bridge oscillator
32	4	25/3/2017	Astable MV
33		27/3/2017	Monostable MV
34		27/3/2017	triangular wave generators, saw tooth wave generators
35		29/3/2017	comparators,zerocrossing detector
36		31/3/2017	Schmitt Trigger,Test paper
37		31/3/2017	Active filters:1st order Butterworth LPF
38		01/04/2017	1st order Butterworth HPF
39		04-03-2017	1st order Butterworth BPF
40		04-03-2017	1st order Butterworth BSF and notch Filter
41		04-05-2017	2nd order Butterworth LPF, HPF
42		04-12-2017	2nd order Butterworth BPF, BSF
43	5	17/4/2017	Timer IC 555, block diagram
44		17/4/2017	Monostable MV
45		19/4/2017	Astable MV, VCO
46		21/4/17	VCO,Analog Multiplier,Gilbert cell
47		21/4/2017	IC AD633 and application
48		24/4/2017	PLL – Operating principles, basic blocks
49		24/4/2017	applications
50		26/4/2017	PLL IC 565
51		28/4/2107	Monolithic Voltage Regulators: Three terminal voltage regulators 78XX and 79XX series
52		28/4/2017	IC723 , low voltage and high voltage regulator
53		05-03-2017	Current boosting, short circuit and fold back protection.
54	6	05-05-2017	D/A converter , specifications , weighted resistor type, ,
55		05-05-2017	R-2R Ladder type,sample-and-hold circuits
56		05-08-2017	A/D Converters: Specifications, Flash type,
57		05-08-2017	Counter ramp type,Successive Approximation type
58		05-10-2017	Single Slope type, Dual Slope type
59		05-12-2017	Dual Slope type, problems
60		05-12-2017	revision

PO-PSO Mapping to CO

SEMESTER: 3
Course Title:	SOLID STATE DEVICES
Course Code:	C203
Academic Year:	2018-19
CO No:	Course Outcomes
	After the successful completion of course, students will be able to:
C203.1	Discuss the Fermi – Dirac distribution, equilibrium carrier concentration in n type and p type semiconductors, conductivity, mobility and temperature dependence of carrier concentration and mobility by understanding the basic concepts of semiconductors and equilibrium and steady state conditions.
C203.2	Analyze the High field effects and Hall effect, quazi Fermi levels and continuity equation using the theory of drift, diffusion and generation and recombination of excess carriers.
C203.3	Illustrate the various features of pn junction with energy band diagram and V – I characteristics using the ideal diode equation.
C203.4	Distinguish the various breakdown mechanisms in pn junction, ohmic and rectifying contacts.
C203.5	Deduce the terminal current equations using the basic concepts of BJT.
C203.6	Interpret the C V characteristics of MOS capacitor, MOSFET and recall the FinFET structure.

SEMESTER: 3

Course Title:

SOLID STATE DEVICES

Course Code:

C203

Academic Year:

2018-19

Course

Outcomes

PO1

PO2

PO3

PO4

PO5

PO6

PO7

PO8

PO9

PO10

PO11

PO12

C203.1

–

C203.2

–

C203.3

–

C203.4

–

C203.5

–

C203.6

–

Average

2.67

–

SEMESTER: 3
Course Title:	SOLID STATE DEVICES
Course Code:	C203
Academic Year:	2018-19
Course Outcomes	PSO1	PSO2	PSO3
C203.1	2	–	–
C203.2	3	–	–
C203.3	3	–	–
C203.4	2	–	–
C203.5	3	–	–
C203.6	3	–	–
Average	2.67	–	–

PEO, POs, PSOs

Programme Outcome (PO)

PO1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

PO2. Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

PO3. Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

PO4. Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

PO5. Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.

PO6. The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

PO7. Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

PO8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

PO9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO10. Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

PO11. Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

PO12. Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

Program Specific Outcomes (PSO)

The students of the Electronics and Communication Engineering Program will have:

The ability to apply the fundamental knowledge of Electronics and Communication Engineering to analyze, design and develop various types of electronic systems.
Competence in using modern hardware and software tools for developing solutions to engineering problems.

Excellent adaptability to the changing industrial and real world requirements.

Mini Projects/Design Projects

Design Projects done during academic year 2022-23

Sl No	Topic
1	Tactile Robot Interpreter for multi sensory impaired
2	Automated pill dispenser
3	Smart Study Glasses
4	SmartSorter- Automated waste segregation and management system
5	IoT Based Air Quality Monitoring System
6	Sign Language to text Converter
7	Intelligent garment Steamer and Folding Machine
8	Skin Cancer Detecttion System
9	Smart Resource Consumption System
10	Women Safety Device Using Voice Emotion Recognition
11	Physio chair
12	Solar floor cleaning robot
13	Road Safety SOS
14	Ultrasonic Glass for Blinds
15	Self stabilizing spoon for parkinson sufferes
16	Eye cursor and eye blink sensor
17	Analysis and therapy shoes to help patient with gait disorders
18	Air pollution montioring system
19	Pattern drawing robot
20	Lock Box:Revolutionzied safe keeping
21	Portable ECG Machine
22	Densiity Based Traffic Management system
23	Vision Scale
24	Smart Blind Glass
25	Automated Solar Grass Cutter
26	Rescue from car fires
27	Smart CNC writing and drawing machine
28	IoT based car parking system

Design Projects done during academic year 2021-22

1	3D LED CUBE 8X8X8 USING ARDUINO
2	APPROACH FOR DIFFERENTIAL DIAGNOSIS OF DEMENTIA
3	CERTIDETECTRON
4	CHARGING POINT ALERTER
5	CONTACTLESS SWITCH
6	DRY HAND WASHING MACHINE BY FOG DISINFECTION
7	ELECTRICITY CONSUMPTION MONITORING
8	FOOT AND BODY SIZE PREDICTOR USING ARDUINO
9	FULLY AUTOMATED TEMPERATURE SENSOR AND MASK DETECTOR WITH RFID SCANNER
10	HAND GESTURE CONTROLLED BOT WITH ROBOTIC ARM
11	HOMETRONICS
12	HUMANOID ASSISTIVE ROBOT
13	MASK SCANNING AND TEMPERATURE DETECTION
14	MCS(Mixer grinder Cut-off System)
15	ORDER PLACING SYSTEM FOR RESTAURANTS
16	PROSTHETIC ARM
17	REAL TIME SPEED LIMIT DETECTION AND OVERSPEED WARNING SYSTEM
18	RFID BASED VEHICLE INSPECTION
19	SECURITY ALARM SYSTEM
20	SEED PLANTING ROBOT
21	SELF PROPELLED ESCORT
22	SMART AND SECURE SINGLE ATM CARD FOR MULTIPLE BANK ACCOUNTS
23	SMART DUSTBIN USING ARDUINO
24	SMART GARDENING
25	SMART PLANT MONITORING SYSTEM
26	SMART SHOPPING TROLLEY WITH AUTOMATED BILLING SYSTEM
27	SMART SOLAR
28	VEIL INTERFACE REARRANGING INSTRUMENT (VIRI) BED MAKER USING ARDUINO
29	WEED DETECTION AND REMOVAL
30	WHEELCHAIR AUTOMATED MODULE

Design Projects done during academic year 2020-21

Batch No.	Project Title
1	Smart mask
2	Human motion imitating all terrain robots with vr controll
3	Social distancing bus detection with people
4	Crowd detetion camera
5	Contactless IR thermometer
6	Face Recognition and Attendance Tracking
7	Remote Controlled Monitor Mount With 3 Axial Alignment
8	Hospital sanitizing Robot
9	Face mask detection
10	Automatic door bell using object detection and smart hand sanitizer dispense
11	Human temperature detector at door bell
12	Shoe for blind people
13	Social distance watcher
14	Smart Talk
15	Patient Health Monitoring Device
16	Automated Sanitizer Door
17	Cough Detection Using Machine Learning & Audio Processing
18	Automated car parking using Image processing
19	Covid 19 ChatBot
20	Hand Gesture Controlled Mouseinator
21	Stress Free Smart Seat
22	Real time monitoring of water quality
23	Facial expression recognizer
24	Contactless UI Control For Lifts
25	RECOGNITION OF VEHICLE NUMBER PLATE USING open CV

Main Projects

Projects done during academic year 2022-23

Sl No	Topic
1	Dog Breed Classification
2	Smart Garage with Car Diagnostics
3	Hand Gesture Recognition and Voice Conversion for Speech Impaired
4	Hardware implementation of modern arithmetics in FPGA
5	Smart Payment system
6	Speed monitoring module
7	Pothole Detection and Leveling
8	AUTOMATED WOMEN SAFETY WEARABLE DEVICE
9	Automated wheel chair
10	OFF-CASE
11	IoT based Hazard detecting Industrial Robot
12	Contact less PC control
13	Situation based traffic management system
14	Garbage collecting Robot
15	Low cost Nursing robot
16	Bike Crash Detection System
17	Retrieval of children from borewell
18	A navigator for the visually impaired
19	Arecnut tree climber
20	Smart agriculture monitoring system
21	Sign Language Conversion Based Pick and Place Bot
22	Secure IoT Assistant-Based System for Alzheimer’s Disease
23	Behavioral and vital analysis of immobilized patients
24	Detection of Pothole Using Image Processing and Real World Footage
25	Flood detection and finding best travel route
26	Safety Helmet for Coal Miners Using Zigbee
27	Arteco
28	Stress Analysis and Care Prediction System and eyestrain alleviating display adjustment for Online Workers
29	Safety Driving Equipments

Projects done during academic year 2021-22

1	Advanced Blind Stick
2	Advanced Driving Assistance System
3	Anti piracy system in Theatre
4	Automatic Fire Enhancer
5	Contactless Interface
6	FPGA Based Coin Recognition System
7	Handwritten character recognition
8	implementation of Digital Notice Board using Raspberry Pi and IoT
9	Intelligent Agriculture Technology Using IoT and ML
10	IoT based weather intelligence system
11	Neural Re-Rendring of Humans from a single image
12	Noise utilisation in public places.
13	Safty Oriented Walkway System
14	Say it right Therapy
15	Sign Language to Speech Converter Using Machine Learning
16	Smart car parking system with IoT
17	Smart Cop
18	smart gadget for women safety
19	Software controlled Wheel Chair
20	Soil Analysing Robot
21	TEST VECTOR REORDERING FOR LOW POWER VLSI TEST PATTERN
22	Text extraction from natural scene images
23	WASTE APARTHEID SYSTEM

Projects done during academic year 2020-21

Sl No	Topic
1	E-Custos
2	Deep learning for channel estimation and signal detection in OFDM systems
3	lidar based obstacle detecting robot
4	IoT based smart refrigerator
5	IoT Based Smart Sewage Worker Safety System
6	Lung Cancer Detection
7	Follow Cart
8	VCO implementation in cadence
9	ROBOTIC FEEDER FOR OLD AGE PEOPLE (RFOP)
10	IoT based Shopping Mall
11	infographic mirror
12	Door Dodge System
13	Eyes on You-Real Time Indoor Tracking and Navigation System
14	Advanced ambulance assistance service
15	Gesture to voice converter
16	Skin Cancer Detection using MATLAB
17	Unmanned Level Crossing
18	Fast walkthrough gateway
19	All terrain moving and climbing up robot for rescue operations
20	voice, gesture and touch screen based wheel chair
21	A comparative study on cough detection and monitorng system based on Threshold and Deep learning
22	Coordination of Drone and Robots via swarm intellignce
23	Automatic Horn control System
24	vehicle number recognition
25	Colour balance and fusion for underwater image enhancement

Add-on Programmes

For students of first year

Course name: Introduction to programming in python

Course outcomes:

After successful completion of this course, student will be able to:

CO 1: Interpret the fundamental Python syntax and semantics and be fluent in the use of Python control flow statements.

CO 2: Express proficiency in the handling of strings and functions.

CO 3: Determine the methods to create and manipulate Python programs by utilizing the data structures like lists, dictionaries, tuples and sets.

CO 4: Identify the commonly used operations involving file systems and regular expressions.

CO 5: Articulate the object oriented programming concepts such as encapsulation, inheritance and polymorphism as used in Python.

For students of second year :

Course name: Python for Scientific Computing and data visualization.

Course outcomes:

After successful completion of this course, student will be able to:

CO 1 : Describe the needs and requirements of scientific computing and to familiarize python programming language for scientific computing and data visualization.

CO 2 : Approximate an array/matrix with matrix decomposition using Python

CO 3 : Implement numerical integration and differentiation using Python

CO 4 : Solve ordinary differential equations for engineering applications using Python

CO 5 : Compute with exported data from instruments using Python

CO 6 : Realize how periodic functions are constituted by sinusoids using Python

CO 7 : Simulate random processes and understand their statistics using Python

For students of third year

Course name : Computer Vision and AI

Course Outcomes:

After successful completion of this course, student will be able to:

CO 1: Write, Test and Debug Python Programs

CO 2: Identify basic concepts, theories and methods in the field of computer vision.

CO 3: Develop and apply computer vision techniques for solving practical problems.

CO 4: Develop hands-on experience to process images using AI.

CO 5: Use different machine learning techniques to design AI based solutions for real world problems.

For students of final year

Course name: Industrial oriented Semi custom layout design using Cadence and Microwind tool

Course Outcome:

After successful completion of this course, student will be able to:

CO1: Familiarise with Microwind and Cadence CAD tools

CO2: To analyse and implement various CMOS circuits using Micro wind and Cadence

CO3: Generate interest for the students to do work on core.

Class Advisors

Class advisor list for AY 2024-25

Degree	Semester	Division	Class advisors
B.Tech	S2	A	Neena K A, Christy Jose
B.Tech	S2	B	Ambili A R, Dhanya S
B.Tech	S4	A	Subha Thomas, Pearlsy P V, Bini V K
B.Tech	S4	B	Minu Kuriakose, Leena Thomas, Karthika V
B.Tech	S6	A	Jilu George,Jeslin P Jo, Sreelakshmi S
B.Tech	S6	B	Gayathri I K, Vinitha V

Class advisors of previous batches:

Degree	Batch	Div	Class advisors
B.Tech	2021-25	A	Aiswarya Raj, Benoy Abraham, Basil K Jeemon
B.Tech	2021-25	B	Deepa N R, Nimmy M Philip, Anoop E G
B.Tech	2020-24	A	Neena K. A., Pearlsy P. V., Manju C. P.
B.Tech	2020-24	B	Ambili A. R., Dhanya S., Basil K. Jeemon
B.Tech	2019-23	A	Ms. Subha Thomas, Ms. Minu Kuriakose, Ms. Elza George
B.Tech	2019-23	B	Ms. Pearlsy P V, Ms. Sreelekshmy S, Ms. Sheelu Susan Mathews
M.Tech	2020-22	COEN	Mr. Bejoy Varghese
M.Tech	2020-22	VLSI	Dr. Krishna Kumar S
B.Tech	2018-22	A	Ms. Jeslin P Jo, Ms. Bini V K, Mr. Noble G
B.Tech	2018-22	B	Ms. Manju C P, Ms. Vinitha V, Mr. Manu Mohan C M
B.Tech	2017-21	A	Ms.Neena K A, Ms. Nisha R, Mr. Benoy Abraham
B.Tech	2017-21	B	Ms. Leena Thomas, Mr. Anoop E G, Ms. Deepa N R
M. Tech	2019-21	COEN	Dr. Anil Kumar M N
M. Tech	2019-21	VLSI	Ms. Nimmy M Philip
B.Tech	2016-20	A	Mr. Basil K Jeemon, Ms. Dhanya S, Ms. Christy Jose
B.Tech	2016-20	B	Ms. Anu K Kuriakose, Ms. Ambily A R, Ms. Pearlsy P V

Head of the department (SB 305A)	91-484-2725-235
HoD room annexe (SB 305)	91-484-2725-235
Staff Room 1 South Block (SB 301)	91-484-2725-237
Staff Room 2 South Block (SB 303)	91-484-2725-029
Staff Room 3 South Block (SB 306)	91-484-2725-031

HoD room annexe (SB 305)	91-484-2725-235
Mr. Bejoy Varghese	Assistant Professor, Spl .Grade
Ms. Leena Thomas	Assistant Professor

Staff Room 1 South Block (SB 301)	91-484-2725-237
Dr. Anil Kumar M N	Professor
Ms. Nimmy M Philip	Assistant Professor Sr. Grade
Mr. Anoop E G	Assistant Professor, Sr. Grade
Ms. Subha Thomas	Assistant Professor, Sr. Grade
Mr. Benoy Abraham	Assistant Professor, Spl .Grade
Ms. Christy Jose	Assistant Professor, Spl .Grade
Ms. Jilu George	Assistant Professor, Spl .Grade
Ms. Aiswariya Raj	Assistant Professor, Spl .Grade
Ms. Nisha R	Assistant Professor, Spl .Grade
Ms. Sheelu Susan Mathews	Assistant Professor, Spl .Grade

Staff Room 2 South Block (SB 303)	91-484-2725-029
Ms. Deepa N R	Assistant Professor, Sr. Grade
Ms. Vinitha V	Assistant Professor, Sr. Grade
Ms. Manju C P	Assistant Professor, Spl .Grade
Ms. Elza George	Assistant Professor, Spl .Grade
Ms. Gayathri I K	Assistant Professor, Spl .Grade
Ms. Sreelekshmy S	Assistant Professor, Spl .Grade
Ms. Bini V K	Assistant Professor, Spl .Grade

Staff Room 3 South Block (SB 306)	91-484-2725-031
Ms. Ambili A R	Assistant Professor, Sr. Grade
Ms. Pearlsy P V	Assistant Professor, Sr. Grade
Ms. Neena K A	Assistant Professor, Sr. Grade
Ms. Minu Kuriakose	Assistant Professor, Spl .Grade
Ms. Dhanya S.	Assistant Professor, Spl .Grade
Mr. Basil K Jeemon	Assistant Professor, Spl .Grade
Ms. Jeslin P Jo	Assistant Professor, Spl .Grade
Mr. Noble G	Assistant Professor, Spl .Grade

Research Centre

Sample Attainment

Sample Course Plan

PO-PSO Mapping to CO

PEO, POs, PSOs

Mini Projects/Design Projects

Main Projects

Add-on Programmes

Class Advisors

Directory