Machine Learning for Indoor Localization and Navigation

Saideep Tiku is a Walter Scott Jr. College of Engineering Ph.D. candidate in the Department of Electrical and Computer Engineering Department at Colorado State University, Fort Collins, Colorado, USA. He is a Research Assistant at the Embedded, High Performance, and Intelligent Computing (EPIC) Laboratory and his interests include indoor localization, and energy efficiency for fault tolerant embedded systems. His work in the domain of machine learning-based indoor localization has been published and recognized globally in conferences and journals including ACM GLSVLSI 2018, ACM TECS 2019, ACM/IEEE DAC 2019, ACM TCPS 2021, IEEE DATE 2021. He is the recipient of two best paper/poster awards and currently holds 10 (1 awarded, 9 filed) patents in the domain of machine learning-based indoor localization and other fields of applications for machine learning on embedded systems. Saideep Tiku received his B.E. degree in Electronics and Electrical Communication from Panjab University, India in2013. During his time at CSU, he has worked on embedded projects with companies such as Fiat-Chrysler Automobiles, Mentor Graphics (now Siemens), and Micron Technology. He is the mentor for the undergraduate senior design program at CSU for teams in the domain of indoor localization which was also awarded funding from Keysight technologies. He has served as the INTO program tutor for CSU and the Teaching Assistant for the coursework Hardware/Software Design of Embedded Systems. Saideep Tiku has reviewed 13 publications for reputable conferences and journals and also served as the student volunteer for ACM/IEEE ESWEEK 2021. He is a Student Member of the IEEE.

Sudeep Pasricha is a Walter Scott Jr. College of Engineering Professor in the Department of Electrical and Computer Engineering, the Department of Computer Science, and the Department of Systems Engineering at Colorado State University. He is Director of the Embedded, High Performance, and Intelligent Computing(EPIC) Laboratory and the Chair of Computer Engineering. Prof. Pasricha received the B.E. degree in Electronics and Communication Engineering from Delhi Institute of Technology, India, in 2000, and his Ph.D. in Computer Science from the University of California, Irvine in 2008. He joined Colorado State University (CSU) in 2008. Prior to joining CSU, he spent several years working in STMicroelectronics and Conexant Inc. Prof. Pasricha's research broadly focuses on software algorithms, hardware architectures, and hardware-software co-design for energy-efficient, fault-tolerant, real-time, and secure computing. These efforts target multi-scale computing platforms, including embedded and Internet of Things (IoT) systems, cyber-physical systems, mobile devices, and datacenters. He has received funding for his research from various sponsors such as the NSF, SRC, AFOSR, ORNL, DoD, Fiat-Chrysler, and NASA. He has co-authored five books, contributed to several book chapters, and published morethan 250 research articles in peer-reviewed conferences, journals, and books.

Prof. Pasricha has received 16 Best Paper Awards and Nominations at various IEEE and ACM conferences, including at DAC, ASPDAC, NOCS, GLSVLSI, SLIP, AICCSA, and ISQED. Other notable awards include: the 2022 ACM Distinguished Speaker selection, 2019 George T. Abell Outstanding Research Faculty Award, the 2016-2018 University Distinguished Monfort Professorship, 2016-2019 Walter Scott Jr. College of Engineering Rockwell-Anderson Professorship, 2018 IEEE-CS/TCVLSI mid-career research

Achievement Award, the 2015 IEEE/TCSC Award for Excellence for a mid-career researcher, the 2014 George T. Abell Outstanding Mid-career Faculty Award, and the 2013 AFOSR Young Investigator Award.

Prof. Pasricha is currently the Vice Chair and Conference Chair of ACM SIGDA and a Senior Associate Editor for the ACM Journal of Emerging Technologies in Computing (JETC). He is currently or has been an Associate Editorfor the ACM Transactions on Embedded Computing Systems (TECS), IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), IEEE Consumer Electronics (CM), and IEEE Design & Test of Computers (D&T). He also serves as the Chair of the steering committee of IEEE Transactions on Sustainable Computing (TSUSC). He is currently or has been an Organizing Committee Member of several IEEE/ACM conferences such as DAC, ESWEEK, ICCAD, GLSVLSI, NOCS, RTCSA, etc. He has served as the General Chair for various IEEE/ACM conferences such as NOCS, HCW, IGSC, iSES, ICESS, etc.; and as Program Chair for CODES+ISSS, NOCS, IGSC, iNIS, VLSID, HCW, DAC PhD Forum, ICCAD Cadathlon, etc. He is also in the Technical Program Committee of several IEEE/ACM conferences such as DAC, DATE, ICCAD, ICCD, NOCS, etc. He holds an affiliate faculty member position at the Center for Embedded and Cyber-Physical Systems at UC Irvine. He has also received multiple awards for professional service, including the 2019 ACM SIGDA Distinguished Service Award, the 2015 ACM SIGDA Service Award, and the 2012 ACM SIGDA Technical Leadership Award.

Saideep Tiku 是美國科羅拉多州立大學（Colorado State University）沃爾特·斯科特工程學院（Walter Scott Jr. College of Engineering）電機與計算機工程系的博士候選人。他是嵌入式、高效能及智能計算（EPIC）實驗室的研究助理，研究興趣包括室內定位和容錯嵌入式系統的能源效率。他在基於機器學習的室內定位領域的研究成果已在全球的會議和期刊上發表並獲得認可，包括 ACM GLSVLSI 2018、ACM TECS 2019、ACM/IEEE DAC 2019、ACM TCPS 2021 和 IEEE DATE 2021。他獲得過兩項最佳論文/海報獎，並在基於機器學習的室內定位及其他嵌入式系統應用領域擁有10項專利（1項已授予，9項已申請）。Saideep Tiku 於2013年在印度旁遮普大學獲得電子與電氣通信的學士學位。在科羅拉多州立大學期間，他曾與菲亞特-克萊斯勒汽車（Fiat-Chrysler Automobiles）、美圖圖形（Mentor Graphics，現為西門子）和美光科技（Micron Technology）等公司合作進行嵌入式項目。他是科羅拉多州立大學室內定位領域本科生設計計畫的導師，該計畫也獲得了 Keysight Technologies 的資助。他曾擔任科羅拉多州立大學的 INTO 計畫導師及嵌入式系統硬體/軟體設計課程的教學助理。Saideep Tiku 已為多個知名會議和期刊審稿13篇出版物，並在 ACM/IEEE ESWEEK 2021 擔任學生志工。他是 IEEE 的學生會員。

Sudeep Pasricha 是科羅拉多州立大學沃爾特·斯科特工程學院電機與計算機工程系、計算機科學系及系統工程系的教授。他是嵌入式、高效能及智能計算（EPIC）實驗室的主任及計算機工程系的系主任。Pasricha 教授於2000年在印度德里科技學院獲得電子與通信工程的學士學位，並於2008年在加州大學爾灣分校獲得計算機科學的博士學位。他於2008年加入科羅拉多州立大學。在加入科羅拉多州立大學之前，他曾在 STMicroelectronics 和 Conexant Inc. 工作多年。Pasricha 教授的研究廣泛集中於能源高效、容錯、實時及安全計算的軟體演算法、硬體架構及硬體-軟體共同設計。這些研究針對多尺度計算平台，包括嵌入式系統和物聯網（IoT）系統、網路物理系統、行動裝置及數據中心。他的研究獲得了來自 NSF、SRC、AFOSR、ORNL、國防部、菲亞特-克萊斯勒和 NASA 等多個贊助機構的資助。他共同撰寫了五本書籍，貢獻了幾個書章，並在同行評審的會議、期刊和書籍上發表了超過250篇研究文章。

Pasricha 教授在各種 IEEE 和 ACM 會議上獲得了16項最佳論文獎和提名，包括 DAC、ASPDAC、NOCS、GLSVLSI、SLIP、AICCSA 和 ISQED。其他值得注意的獎項包括：2022年 ACM 傑出演講者選拔、2019年喬治·T·阿貝爾傑出研究教師獎、2016-2018年大學傑出蒙福特教授獎、2016-2019年沃爾特·斯科特工程學院洛克威爾-安德森教授獎、2018年 IEEE-CS/TCVLSI 中期研究成就獎、2015年 IEEE/TCSC 中期研究者卓越獎、2014年喬治·T·阿貝爾傑出中期教師獎，以及2013年 AFOSR 年輕研究者獎。Pasricha 教授目前是 ACM SIGDA 的副主席和會議主席，以及 ACM 新興計算技術期刊（JETC）的高級副編輯。他目前或曾擔任 ACM 期刊的副編輯。