Mentor-Mentee System at Sahyadri

Mentor Details:
Dr. R Srinivasa Rao Kunte is the Principal of Sahyadri College of Engineering & Management and Professor at Electronics & Communication Engineering Department. He is an academician with overall 36 years of teaching experience with 19 years of research and 29 years of administrative experience. He is presently the academic senate member of VTU and Chairman of BOS in E&C/TC board of VTU. He is also a member of COMEDK Executive council. He is a member of IEEE, IETE and life member of ISTE. Dr. R Srinivasa Rao Kunte is a reviewer of reputed national and international journals. Govt. of Karnataka recognized his research work and sponsored his visit to the IEEE international conference ISPACS-2000 held at Honolulu, USA. As a principal coordinator he was responsible to get the first AICTE projects grants through AICTE sponsored MODROBS project.

Introduction of Mentees
• V Mukesh Kumar is the student of First Semester ‘H’ Section. He is from Mangalore. He has completed his SSLC from Nobel High School & PUC from B.G.S PU College. His hobbies are playing cricket, Flying RC plains.
• Aagneya C is the student of First Semester ‘E’ section. He is from Mangalore. He has completed his SSLC from Canara High School & PUC from St. Aloysius PU College. His Hobbies are playing Volleyball & sketching.
• Mashroofa Fathima is the student of First Semester ‘B’ section. She is from Mangalore. She has completed her SSLC from Shri Mahalingeshwara English Medium School & PUC from Canara P U College. Her hobbies are drawing, listening to Music.
• G Nandan Kumar Rao is the student of First Semester ‘F’ section. He is from Uppinangady. He has completed his SSLC from Indraprastha Vidyalaya & PUC from Ambika Vidyalaya at Puttur. His hobbies are listening to music.
• Subhiksha Shetty is the student of First Semester ‘D’ Section. She is from Baroda Gujrat. She has completed her SSLC from Reliance School & PU from Alvas PUC College. Her hobbies are reading books & Content writing for posters.
• Prajwal P Varekar is the student of First Semester ‘A” Section. He is from Bhatkal. He has completed his SSLC from Anand Ashram Convent School & PUC from Siddarth PU College. His hobbies are photography, playing Badminton & drawing. He won 1st place in badminton competition organized by Railway Badminton competition held at Bhatkal

Commemoration of World AIDS Day

Mr. Ankith S Kumar, Student Counselor conducted an awareness session on HIV /AIDS for the MBA students in commemoration of World AIDS Day. He created awareness among the students about HIV, AIDS and its symptoms, Modes of transmission, Window period, Risk factors, Prevalence and its prevention. Mr. Ankith will be conducting month-long sessions for all the students as an initiative for December AIDS awareness month.
World AIDS Day is observed on 1st December worldwide to create awareness among the masses about HIV / AIDS.

Campus Recruitment Drive - HSBC Software Development (India) Pvt. Ltd

HSBC Software Development (India) Pvt. Ltd conducted a recruitment drive at Sahyadri for the Female Graduates of Computer Science & Engineering and Information Science & Engineering students of 2019 outgoing Batch. A total of 42 students participated in the drive and the results are awaited.

Faculty publishes a Research Paper in the Conference Proceedings of IEEE International Conference 2018

A paper titled "Gray Scale Image Multi-Thresholding with Chaotic Cuckoo Search" co-authored by Dr. Ananth Prabhu G, faculty in the Department of Computer Science & engineering has been published in the conference proceedings of the 2018 IEEE International Conference on System, Computation, Automation and Networking (ICSCA). Image processing field is widely adopted in a variety of domains to examine and extract the vital features. Image multi-thresholding is an essential pre-processing field, widely implemented to pre-process the classical and medical images. In this paper, pre-processing of benchmark gray scale is implemented using the Chaotic Cuckoo Search (CCS) algorithm using the Tsallis entropy value. The experimental investigation is implemented with the Matlab7 software using test images of 512x512 pixels. The performance of CCS is confirmed with the other heuristic methods, such as FA, BA and PSO. The experimental results of this study verify that, implemented CCS tenders enhanced outcome with improved image quality measures and the run time compared with other algorithms adopted in this paper. This work confirms that, chaotic algorithms are better than the conventional approaches.

The paper can be accessed at https://ieeexplore.ieee.org/document/8541262

Quote for the day

"As soon as the fear approaches near, attack and destroy it."
- Chanakya