Dr. Deepthi D. Kulkarni
The department of Electronics and Telecommunication Engineering is headed by Prof. Deepthi Kulkarni and has a sanctioned intake of 120 students for the undergraduate course. Presently, the department has well-qualified faculty members who have made significant contributions in various fields and have published research papers in reputed journals, international and national conferences. We encourage participation of students in various co-curricular and extra-curricular activities as well.
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To ensure that the students are prepared to their full potential when they face the job market, the department conducts certified workshops on Python, Machine Learning, CCNA, Robotics etc. During such workshops, students learn skills which are unconventional and out of the scope of curriculum and bring them at par with employer requirements.
The Educational Objective of Electronics & Telecommunication Department is to produce competent Engineers who are ready to contribute for the advancement of the world of Electronics and telecommunication for global needs. These educational objectives are as follows:
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Designation: HoD, Assistant Professor
Qualification: Ph.D., ME E&TC (VLSI & Emb. Sys.)
Experience: Teaching: 17 years
Area of Interest: Embedded & RTOS Processors, Wireless Networks
Email Id: deepthikulkarni.tae@kjei.edu.in
Designation: Associate Professor
Qualification: Ph.D. (Electronics)
Experience: Teaching: 26 years
Area of Interest: AI-ML, Machine Learning, VLSI
Email Id: vaishalijoshi.tae@kjei.edu.in
Designation: Assistant Professor
Qualification: Ph.D. (Pursuing), ME E&TC (Microwave)
Experience: Teaching: 13 years
Area of Interest: Microwave Engineering
Email Id: krantipatil.tae@kjei.edu.in
Designation: Assistant Professor
Qualification: Ph.D. (Pursuing), ME E&TC
Experience: Teaching: 16 years
Area of Interest: Embedded System Design
Email Id: digambarjakkan.tae@kjei.edu.in
Designation: Assistant Professor
Qualification: Ph.D., ME E&TC (Dig. Sys.)
Experience: Teaching: 14 years
Area of Interest: VLSI, Embedded Systems
Email Id: truptithite.tae@kjei.edu.in
Assistant Professor
Qualification: ME (E&TC) - Digital Systems
Area of Interest: Digital Systems
Experience: Teaching: 8 years
Email Id: supriyasaste.tae@kjei.edu.in
Assistant Professor
Qualification: Ph.D. (Pursuing), ME E&TC (Digital Electronics)
Area of Interest: Digital Electronics
Experience: Teaching: 16 years
Email Id: jayashripalkar.tae@kjei.edu.in
Assistant Professor
Qualification: Ph.D. (Pursuing), ME E&TC (VLSI System Design)
Area of Interest: Communication, Machine Learning
Experience: Teaching: 3 year
Email Id: anushalavekar.tae@kjei.edu.in
Assistant Professor
Qualification: Ph.D. (Pursuing), M.E. (Electronics & Communications)
Area of Interest: Communication, Image processing
Experience: Teaching: 11 years
Email Id: chetanajain.tae@kjei.edu.in
Assistant Professor
Qualification: M.E.(E & TC) - Signal Processing
Area of Interest: Signal Processing
Experience: Teaching: 8 years
Email Id: Not Available
Assistant Professor
Qualification: ME E & TC Signal Processing
Area of Interest: Signal Processing
Experience: Teaching: 5 years
Email Id: Not Available
Assistant Professor
Qualification: Ph. D. (Persuing), ME (Communication)
Area of Interest: Cloud Computing, Power Electronics
Experience: Teaching: 18 years
Email Id: heenanaaz.tae@kjei.edu.in
Assistant Professor
Qualification: ME (Digital System)
Area of Interest: Digital System
Experience: Teaching: 6 years
Email Id:kavitaghuge.tae@kjei.edu.in
Assistant Professor
Qualification: Ph. D. (Persuing), ME (E&Tc - Signal Processing)
Area of Interest: Front End Development using JavaScript, HTML, CSS and Signal Processing
Experience: Teaching: 17 years
Email Id: maheshsapte.tae@kjei.edu.in
Assistant Professor
Qualification: Ph. D. (Persuing), M. Tech (Electronics)
Area of Interest: Computer Vision, VLSI
Experience: 19 years
Email Id: nileshmohota.tae@kjei.edu.in
Assistant Professor
Qualification: Ph. D. (Persuing), ME (Digital Electronics)
Area of Interest: Computer Vision, Image Processing
Experience: Teaching: 18 years
Email Id: rajeshyawle.tae@kjei.edu.in
Assistant Professor
Qualification: M.E.(E&tc)
Area of Interest:Microcontroller, Digital electronics
Experience: 9 years
Email Id: priyankakulloli.tae@kjei.edu.in
Assistant Professor
Qualification: M.Tech(E&TC)-VLSI and Embedded Systems
Area of Interest: VLSI and Embedded Systems, IoT, Computer Network
Experience: 10 years
Email Id: dipaligupta.tae@kjei.edu.in
Lab Assistant
Qualification: BE E&TC
Area of Interest: Computer Network
Experience: 08 years
Email Id: umeshlondhe.tae@kjei.edu.in
Lab Assistant
Qualification: B. Sc. (CS)
Area of Interest: Computer Network
Experience: 02 years
Email Id: supriyawadkar.tae@kjei.edu.in
Area of Lab (in Sq. m): 66
Area of Lab (in Sq. m): 75.61
Area of Lab (in Sq. m): 99
Area of Lab (in Sq. m): 99
Area of Lab (in Sq. m): 75
Area of Lab (in Sq. m): 97.6
Area of Lab (in Sq. m): 66.03
Area of Lab (in Sq. m): 75.61
Area of Lab (in Sq. m): 75
Area of Lab (in Sq. m): 66
The vision of R & D Cell is to promote research activities among students and faculty as well as to provide a robust platform for sharing and implementing innovative and creative ideas to facilitate exchange of information and interaction among the various research institutes and industries to develop skilled manpower in various engineering fields.
ASPIRE ('Assistance by SPPU for Project-based Innovative Research') Research Mentorship Grant is an ambitious research funding scheme to identify young research talent in the Savitribai Phule Pune University. The aim of providing the seed funding is to inculcate a research culture and to enable them to go forward for major financial assistance from national or international funding agencies.
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The Internet of Things is intercommunication of embedded devices using networking technologies. The IoT will be one of the important trends in the future that can affect the networking business and communication. This project presents remote sensing parameters of the human body, which consist of heart rate pulses. The parameters used for sensing and monitoring will send data through wireless sensors. Adding web-based observing helps to keep track of the regular health status of the patient. The sensing data will be continuously collected in a database and will be used to inform the patient of any unseen problems to undergo possible diagnosis.
Customer gratification is a vital aspect for any commercial. Each time a customer does not get its anticipated product on the shelf, the situation leads to out of stock. This causes the customer to switch to another product, postpone their shopping, or shop in another shop. In such circumstances, there is direct loss for the retailer and manufacturer. Thus, there is a need of the hour to design technology that will be able to remove this drawback at minimum cost and maximum efficiency. In this project, we present a modest tactic through which we can overcome this drawback in the best conceivable and economical way. The main application of this work is to design an intelligent shelf that will pay attention to every commotion going on it microscopically. The shelf is also proficient at detecting the identity of the person who is using it, which is made possible by using RFID technology.
This project has proposed an Internet of Things (IoT) based fire alarm and monitoring system best suited for industrial and home applications. Fire is a major cause of accidents claiming valuable lives and property. The chemical reaction between carbon-based materials in the presence of oxygen generates flammable vapor causing a steady rise in temperature and results in fire. The major characteristic of fire is that it extends exponentially with time. Hence, timely detection of fire is critical for avoiding a major accident. In this project, the fire alarm and monitoring system are integrated with an IoT platform. It can sense smoke, rise in temperature, flame, etc., and send it to a far-away monitoring station through a Wi-Fi module (ESP8266) to generate needful instructions for the actuators. In the design prototype, sensors are installed in three distinct locations to identify the exact location of fire hazards that have taken place.
People often complain that it is either too hot or too cold. The current technological solutions made to keep people thermally comfortable, such as air and heating units, have come a long way and have been successful in helping people obtain comfort in their dwellings. In this project, we are going to design an E-Uniform that provides better protection for individuals working in extreme weather conditions. This uniform will enable them to work in any kind of environment. The project operates in two modes: summer mode and winter mode. By selecting the mode of operation, it can drive a body heater or cooler. The heater/cooler, in turn, will help provide a chilling or warming effect inside the uniform, helping the soldier bear any kind of external environment so they can work efficiently without heat stress or cold stress.
Stock detection using LDR aims to design and construct a system to help people keep track of not only the objects but also their status at each instant, find the right information, and learn about the kinds of risks the detection hardware might face in different situations. The object is detected using an LDR. The system is dependent on the stock availability of the objects that have been placed in their specified places. If the availability is not properly defined, then the system gives results as defined by the user. Hence, to minimize human errors is the responsibility of the user—either the user has to be perfect in their approach of placing the objects or they shall avail a restricted physical space for placing the objects.
In today’s world, women safety has become a major issue. This project presents a women safety detection system using GPS and GSM modems. The system can be interconnected with an alarm system to alert neighbors. This detection and messaging system is composed of a GPS receiver, microcontroller, and GSM modem. The GPS receiver gets the location information from satellites in the form of latitude and longitude. The safety device consists of a microcontroller that processes this information, and the processed information is sent to the user using the GSM modem. A GSM modem is interfaced to the MCU and sends an SMS to a predefined mobile number. When a woman is in danger and in need of self-defense, she can press the switch allotted to her. By pressing the switch, the entire system will be activated, and immediately an SMS will be sent to the concerned person with the location using GSM and GPS.
Curriculum is based on various advancements in technology & trends. As our institute is affiliated under Pune university, it follows the syllabus laid by university of Pune.
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| Rank | Name | CGPA |
|---|---|---|
| 1 | KUBDE SWARAJ PRAVIN | 9.09 |
| 2 | NAIKWADI TRUPTI DILIP | 9.05 |
| 3 | PRADNYA SUNIL POL | 8.91 |
| 4 | KUMBHAR AKANSHA SACHIN | 8.73 |
| 5 | THORAT AYUSH KAMALAKAR | 8.68 |
| 6 | PAGAR MRUDULA MOHAN | 8.50 |
| 7 | KHADE NUTAN VIJAY | 8.27 |
| Rank | Name | CGPA |
|---|---|---|
| 1 | LANDGE ADITYA SUDHIR | 9.33 |
| 2 | NILVARN MOHIT VIJAY | 9.33 |
| 3 | DAUD JAYESH PRABHAKAR | 9.00 |
| 4 | SHRADDHA MALLIKARJUN YELMELI | 9.00 |
| 5 | GAVHANE SHRUTI UMESH | 8.95 |
| 6 | KAKADE SUHANI KIRAN | 8.90 |
| 7 | CHIPADE SHRAVANI MACHINDRA | 8.86 |
| 8 | THAKUR PRIYA RANJEET | 8.81 |
| Rank | Name | CGPA |
|---|---|---|
| 1 | MULLA SAAD MAHAMADRIYAJ | 9.55 |
| 2 | KARDILE MOHINI VISHNU | 9.15 |
| 3 | NAMRATA NAGALKAR | 9.05 |
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