Women In Engineering (WIE) mini-conference (December 19, 2023)
| Date and Time | Event |
|---|---|
| 12.00-12.30 PM | Invited Talk by Prof. Kusum Deep, IIT Roorkee (APJ Abdul Kalam Hall) |
| 12.30-1.30 PM | WIE Technical Session#1: Security and Routing (APJ Abdul Kalam Hall) |
| 2.30-4.00 PM | WIE Technical Session#2: Optical Communications & Networks (VLTC-L205) |
| 4.30-6.00 PM | WIE Technical Session#3: Cellular/ 5G Networks (VLTC-L205) |
For more details, click here: https://ants2023.ieee-ants.org/program/program-glance
Keynote Speakers
Prof. Kusum Deep
Professor, Department of Mathematics
Joint Faculty, Mehta Family School of Data Science and Artificial Intelligence
Indian Institute of Technology Roorkee, India
Title: Use of Nature Inspired Optimization Techniques to solve Real Life Problems
Abstract: Optimization is the art of selecting "the best" alternative among a given set of options. Optimization problems arise in almost all fields of science, engineering, business, finance and Industry – in fact, in all walks of human activity in which the problem may be mathematically modeled. The traditional optimization techniques are unable to tackle the complexities of real world optimization problems. Recently, a number of nature inspired optimization techniques (NIOT) are being developed and proposed in literature. They are gaining popularity and are considered efficient due to their ability to find a reasonably acceptable solution within a fair amount of computational time. Some of the methods in this category are: Genetic Algorithms, Particle Swarm Optimization, Artificial Bee Colony, Biogeography Based Optimization, Grey Wolf Optimization, Sine Cosine Algorithm, Ant Lion Optimization, etc. This talk will focus on the state-of-the-art of Nature Inspired optimization Techniques. Then the talk will demonstrate the use of these techniques in many real life application problems in various areas of Engineering, particularly in Computer Games, Self-Driving cars, Defence, Medicine, Pattern Recognition, Electrical Engineering, Forecasting of Avalanches, Earthquake Engineering, etc.
SHORT BIO
Dr. Kusum Deep, is a Full Professor (HAG), with the Department of Mathematics as well as Joint Faculty at the Mehta Family School of Data Science and Artificial Intelligence at the Indian Institute of Technology Roorkee, India. Also, she is a Visiting Professor, Liverpool Hope University, UK. With B.Sc Hons &M.Sc Hons. School from Centre for Advanced Studies, Panjab University, Chandigarh, she is an M.Phil Gold Medalist. She earned her PhD from UOR (now Indian Institute of Technology Roorkee) in 1988. She has been a national scholarship holder and a Post-Doctoral FellowatLoughborough University, UK assisted by International Bursary funded by Commission of European Communities, Brussels. She has won numerous awards like Khosla Research Award, UGC Career Award, Starred Performer of IITRFaculty, best paper awards by Railway Bulletin of Indian Railways, special facilitation in memory of late Prof. M. C. Puri,AIAP Excellence Award. She is one of the four women from IIT Roorkee to feature in the ebook “Women in STEM-2021” celebrating the contributions made by 50 Indian women in STEM published by Confederation of Indian Industries. According to Stanford University, she falls within top 2 % of the scientists in the world for 2020, 2021, 2022 and 2023. In 2021 she bagged the prestigious POWER grant awarded by SERB-DST, Govt. of India.Since 2022 she is leading a collaborative consultancy project with Deloitte. On September 5, 2022, she was awarded Uttarakhand State Level “Excellence in Research of the Year 2022 Award”, jointly organized in collaboration with DIVYA HIMGIRI (Premier Weekly News Magazine of Uttarakhand), VMSB Uttarakhand Technical University, Uttarakhand State Council for Science & Technology (UCOST) and Society for Research & Development in Science, Technology and Agriculture (SRADSTA). According to the 9th edition of Research.com ranking of the best researchers in the arena of Computer Science she holds a national rank 100 and world rank 10112.
Tue, Dec 19 12:30 - 18:00
- T5WIEb: WIE: Security and Routing
- T1-4WIE: WIE: Optical Communications & Networks
- T2-4WIE: WIE: Cellular/ 5G Networks
T5WIEb: WIE: Security and Routing
|
Session time |
Tue, Dec 19 12:30 - 13:30 |
|
Location |
APJ Abdul Kalam Hall |
|
Chaired by |
Dr. Jyoti Grover (MNIT Jaipur) |
|
Paper |
Paper details |
|---|---|
|
1 |
Non-Collusive Interest Flooding Attacks (NCIFA) in Named Data Networks using Ms. Lalitha Chinmayee MaheshKumar Hurali(Ramaiah Institute of [1570943487] |
|
2 |
Comparative Analysis of Intrusion Detection Systems for Internet of Things Nithya Nedungadi (Amrita Vishwa Vidyapeetham, Amritapuri, India), Akshitha K [1570950504] |
|
3 |
Optimizing Routing Performance in Flying Ad hoc Networks using an Adaptive Hello Interval Scheme Jui Telavane (DAIICT, Gandhinagar, India ) and Yash Vasavada (DAIICT, Gandhinagar, India) [1570951053] |
T1-4WIE: WIE: Optical Communications & Networks
|
Session time |
Tue, Dec 19 14:30 - 16:00 |
|
Location |
VLTC-L205 |
|
Chaired by |
Dr. Ritu Sharma (MNIT Jaipur) |
|
Paper |
Paper details |
|---|---|
|
1 |
Minimum detectible signal measurement setup with RF signal transmission through lossless fiber links Mrs. Taniza Roy (Scientist, LRDE DRDO, Bangalore, India), Dr. Meena D (Scientist, LRDE DRDO, Bangalore, India), Mr. Azeez P(Scientist, LRDE DRDO, Bangalore, India), Mr. Senthil Rengarajan (Scientist, LRDE DRDO, Bangalore, India) [1570933567] |
|
2 |
On Maximizing the Channel Gain for an IRS-aided Indoor VLC System with Blockages Pooja Kumari (IIIT, Delhi), Md Zaid (IIIT, Delhi), Anand Sing (VIT Vellore) Vivek A Bohara (IIIT, Delhi), Anand Srivastava (IIIT, Delhi) [1570945735] |
|
3 |
Routing Based on Deep Reinforcement Learning in Quantum Key Distribution-secured Optical Networks Purva Sharma (Indian Institute of Technology, Indore, India); Vimal Bhatia (Indian [1570949101] |
|
4 |
RMBSA Algorithm Using Link Removal Strategy In Multi-Band Elastic Optical Network Akansha Kumari (Indian Institiute of Technology Kanpur, India), Shrinivas Petale (George Washington University, USA), Varsha Lohani (Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), Spain), Suresh Subramaniam (George Washington University, USA), Sanjay Kumar Bose (Indian Institute of Technology Guwahati, India),Yatindra Nath Singh (Indian Institute of Technology Kanpur, India) [1570949494] |
|
5 |
Modulation Signaling-based Continuous Variable Quantum Key Distribution for Indoor Visible Light Communications Ragini Verma (Indian Institute of Technology Roorkee, India), Shrey Agrawal (Indian Institute of Technology Roorkee, India), Anshul Jaiswal (Indian Institute of Technology Roorkee, India) [1570950707] |
T2-4WIE: WIE: Cellular/ 5G Networks
|
Session time |
Tue, Dec 19 16:30 - 18:00 |
|
Location |
VLTC-L205 |
|
Chaired by |
TBD |
|
Paper |
Paper details |
|---|---|
|
1 |
Maximal Ratio Transmission of Enhanced Sparse Vector Coding for Short Packet Transmission Dolly Kumari (National Institute of Technology, Meghalaya, India), Mahima [1570928692] |
|
2 |
PSO based UAV Localization for Interference Coordination in Cellular Network Akshita Jindal (Sprinklr India Private Limited, India); Manish Kumar (DAIICT, India), Abhishek Jindal (DAIICT, India) [1570945624] |
|
3 |
EnRoute: A DQN based Energy Efficient Routing for uRLLC in Next Generation Networks Akanksha Sharma (BITS, Pilani, India), Sharda Tripathi (BITS, Pilani, India) [1570944870] |
| 4 |
TCHDD: Trust-based Cluster Head Selection for Fast Data Dissemination in 5G-V2X Networks Meenu Rani Dey (IIT Guwahati, India); Sagar Kumar (Indian Institute of Technology Guwahati, India); Moumita Patra (IIT Guwahati, India) [1570945413] |
| 5 |
Enhancing Sidelink 5G V2V Communication: A Distributed Probabilistic Congestion Control for Dynamic Resource Allocation Annu Sahu (IIT Hyderabad, India); P Rajalakshmi (IIT Hyderabad, India) [1570950961] |
