Indian Institute of Information Technology, Design & Manufacturing, Kurnool (IIITDMK) was announced in 2014 after receiving the assent of President of India to the Institutes of Information Technology Act, 2014, and its subsequent publication in the Gazette of India, Extraordinary, Part- Il, Section I, on December 08, 2014. The institute was announced by Government of India to give effect to its obligation under the Andhra Pradesh reorganization act 2014. IIITDM Kurnool is fully funded by Ministry of Education. IIITDM Kurnool launched its academic program with the support of its mentor Institute, IIITDM Kancheepuram (Tamil Nadu), on August 2015 from the Kancheepuram campus. Consequent upon the approval of parliament, IIITDM Kurnool was accorded the status of Institute of National Importance by making an amendment in the IIIT act 2014 on August 03, 2017. In 2015 the Andhra Pradesh government allocated an area of 151 acres for the establishment of a permanent campus in Kurnool.
The IIITDM Kurnool campus is located far away from the bustling life of metropolis in the mineral-rich mountain trails of Rayalaseema region of Andhra Pradesh. The place offers a perfect environment to nurture a peaceful state of mind required to carry out research and other student activities. The campus is situated atop a hill the oversees the Kurnool city. The strong winds blowing over the Tungabhadra river makes the overall experience at the campus similar to that offered by a hill station. The beautiful mountain and valley offer a scenic view of sunrise and sunset.
09:00-13:00 - Technical Session-1 - Morning-WiE Forum
09:00-10:15 - Keynote Lecture-3: Ms.Lakshmi Eswari, Joint Director at C-DAC Hyderabad "BlockChain Technologies"
10:20-11:05 - Invited Talk: Ms.Sashi Sairaman, CEO, MTAB, Chennai "Women in Manufacturing - Your career journey"
11:05-11:15 - Tea Break
11:15-12:05 - Invited Talk: Ms.Ritu Garg, Intel Technology, India "AI for Depression Analysis"
12:05-12:25 - CT and MR Image fusion based on Guided filtering and Phase congruency in Non-subsampled Shearlet transform domain - Shaik Afroz Begum
12:25-13:00 - Panel Discussion- WiE Forum- With all the guests invited Moderator(s): Dr. Murty Indrakanti , the C.E.O and founder of LAVE Solutions, Bangalore and Dr. R. PraneethaSree, Assistant Professor, IIITDM Kurnool
13:00-14:00 - Lunch Break
14:00-17:30 - Technical Session-2 - Afternoon
14:00-15:00 - Keynote Lecture-4: Prof. Atul Negi, Professor, HCU “AI for Social Good- A Faustian Bargain”.
15:05-15:25 - An Improved Adaptive Exponential Functional Link based NAEC - B.V.Srikanth
15:25-15:45 - UART Implementation using The BIST Technique for Generating Test Patterns - Binduswetha Pasuluri
15:45-16:05 - A 2.4GHz LNA Design for 802.11 WLAN Applications - D Sharath Babu
16:05-16:20 - Tea Break
16:20-16:40 - A Comprehensive study on Distinct Data Collection Techniques using Machine Learning Approaches for WSN - Guduri Sulakshana
16:40-17:00 - Methodology for Identification of Quality of clean-Cut surface for IS2062HR sheet metal blanking using Random Forest - Vijaya P Patil
17:00-17:20 - Joint Relay Selection and Precoder Designing for Energy-Efficient MIMO-CRNs - Matadeen Bansal
17:20-18:30 - Industry Connect-Talk by ZeroCode, Hyderabad
18:30-20:00 - Cultural Event
20:00-21:00 - Dinner
Day-3 : 12-12-2021 (Sunday)
09:00-09:30 - Registration
09:30-13:00 - Technical Session-1 - Morning
09:30-10:15 - Keynote Lecture-5: Prof.Ram Mohana Reddy Guddeti, Professor (HAG), Information Technology Department, National Institute of Technology Karnataka, Surathkal, Mangalore "AI-based Data Analytics in Smart Application Environments"
10:15-10:35 - Classification of Astronomical Bodies by Efficient Layer Fine-Tuning of Deep Neural Networks - Sabeesh Ethiraj
10:35-10:55 - Student Placement Chance Prediction Model using Machine Learning Techniques - Manoj Manike
10:55-11:15 - HMER-Image To LaTeX : A Variational Dropout Approach - Ajay Garkal
11:15-11:30 - Tea Break
11:30-11:45 - Deep learning based Tonic identification in Indian Classical Music - Yeshwant Singh
11:45-12:00 - Ensemble learning based credit card fraud detection system - Pooja Tomar