List of recent talks

1. Title of the talk:Analog trends in recent high performance SOCs
Date: 03-10-2019
Speaker: Mr. Shiv Mathur, Western Digital Bangalore
Biography of the speaker: Mr. Shiv Mathur is currently working as a senior technologist in Western Digital, Bangalore. He has a total industrial experience of 16 years with core expertise in the field of high speed I/O, mixed signal IP and electrostatic discharge (ESD) design. He has 12 granted patents and several pending apart from many publications to his name. Currently, he is working on next generation parallel link for non-volatile memory express (NVMe) interface with the intent of reducing the transfer energy.
2. Title of the talk:Making 5G NR a Commercial Reality: A unified, more capable 5G air interface
Date: 18-10-2019
Speaker: Dr. Bama Muthuramalingam, Quaclomm Chennai Design
Abstract: This talk is organized as three parts, where, in the first part we motivate the need for fifth generation (5G) wireless technology by going over several examples. 3GPP standardizes this technology as 5G New Radio (5G NR) and the first release of 5G NR is standardized in Release 15. In the second part of the talk, the building blocks of 5G air interface is discussed. 5G NR demands diverse applications and diverse spectrum which necessitates the need for unified air interface which includes: (i) Scalable OFDM-based air interface, (ii) Flexible slot-based framework, (iii) Advanced Channel Coding, (iv) Massive MIMO and (v) Mobile mmWave. Towards the end, we discuss Qualcomm’s efforts in prototyping, productizing and commercializing 5G NR User Equipment (UE) both in Sub 6 GHz band and mobile mmWave.
Biography of the speaker: Bama did her B.E in Electronics and Communication Engineering and M.E. in Wireless Technology at the Thiagarajar College of Engineering, Madurai in 2003 and 2005 respectively. She then pursued PhD degree at the department of Electrical Engineering, Indian Institute of Technology Madras from 2005 to 2011. Her thesis focused on maximizing the capacity of half duplex wireless networks. She has an industrial career spanning 7+ years working for companies like Tata Elxsi and Qualcomm where she was involved in the design and development of various Wireless transceiver chipsets. She possesses a rich wireless system design expertise by working on Technologies like UMTS, LTE, and IEEE 802.11ax. She was also a faculty member at Amrita University, Kollam, for a brief period, Jan-Nov 2017. Currently, Bama is a Staff Engineer with the WLAN Systems team at the Quaclomm Chennai Design Center.
3. Title of the talk:Solving for an equation that doesn’t exist: the generalized Riccati theory
Date: 13-11-2019
Speaker: Dr. Debasattam Pal, Associate Professor, Department of Electrical Engineering, IIT Bombay
Abstract: The importance of the algebraic Riccati equation (ARE) in control and communication engineering cannot be overstated. However, existence of ARE depends crucially on non-singularity of certain parameter matrices – known as the “regularity condition”. It is known that solutions of the ARE are nothing but some kind of (generalized) stored energy within the system, called “storage functions”. Existence of storage functions is a property known as dissipativity. Arguably, dissipativity is a system’s inherent property, and hence, it ought to be independent of whether the system’s parameter matrices are satisfying the regularity condition or not. The question is: if the ARE does not exist, how then do we get its solution – the storage function? In this talk we shall try to investigate this case of “singular” dissipative systems. We shall see how the resolution of this conundrum lies within a generalization of the so called Hamiltonian matrix to a corresponding Hamiltonian system. We shall also see some remarkable consequences of this resolution.
Biography of the speaker: Dr. Debasattam Pal received his Bachelor of Engineering (B.E.) degree from the Department of Electrical Engineering of Jadavpur University, Kolkata, in 2005. He received his M.Tech. and Ph.D. degrees from the Department of Electrical Engineering, IIT Bombay, in the years 2007 and 2012, respectively. He then worked as an Assistant Professor in IIT Guwahati from July, 2012 to May, 2014. After that, he joined IIT Bombay in June, 2014, where he is currently working as an Associate Professor in the EE Department. His main area of research is systems and control theory. More specifically, his areas of interest are: multidimensional systems theory, algebraic analysis of systems, dissipative systems, optimal control and computational commutative algebra.
4. Title of the talk:Fusion of Hard and Soft (AI) Control Strategies For a Smart Prosthetic/Robotic Hand
Date: 06-01-2020
Speaker: Prof. Dr. Subbaram Naidu, Life Fellow IEEE, Minnesota Power Jack Rowe Endowed Chair, University of Minnesota Duluth, USA
Abstract: There are now over 20 million people in the world with missing limbs resulting from combat and non-combat operations and by 2050 there will be 50 million amputees all over the world. The availability of artificial limbs will help these people to lead a better normal life. The overall goal of the research on Prosthetic Hand Technology is to develop a smart prosthetic hand using intelligent strategies for electromyographic (EMG) signal extraction, analysis, identification, kinematic synthesis, and embedded hierarchical real-time systems and control by fusion of soft computing and hard computing techniques. The presentation is based on Professor Naidu’s recent (2016-August-12) TED Talk http://www.ted.com on 3-D Printed Prosthetic Hand for the World https://www.youtube.com/watch?v=rXyy5XN2oY0 and his recent research book published in October 2017 by the IEEE Press – Wiley (Series on Systems Science and Engineering) titled, “Fusion of Hard and Soft Control Strategies for a Robotic Hand”. http://www.wiley.com/WileyCDA/WileyTitle/productCd-1119273595,subjectCd-EE30.html
Biography of the speaker: Desineni “Subbaram” Naidu received MTech and PhD degrees in Electrical Engineering (with specialization in Control Systems Engineering), from Indian Institute of Technology (IIT), Kharagpur, INDIA. Dr. Naidu taught, visited and/or conducted research at: IIT; National Research Council (NRC) Senior Research Associate at Guidance and Control Division, NASA Langley Research Center, Hampton, VA, USA (1985-90); Old Domain University, Norfolk, VA, USA (1987-90); Professor, Associate Dean and Director, School of Engineering at Idaho State University and Measurement and Control Engineering Research Center, Pocatello, Idaho, USA (1990-2014); National Research Council (NRC) Senior Research Associate at Center of Excellence in AdvancedFlight Research at United States (US) Air Force Research Laboratory, Wright Patterson Air Force Base (WPAFB), Ohio, USA (1998-99); Visiting Research Fellow at Center of Excellence for Ships and Ocean Structures at Norwegian University of Science and Technology, Trondheim, NORWAY (2014); Academic Guest at Measurement and Control Laboratory at Swiss Federal Institute of Technology, Zurich, SWITZERLAND (2015); Visiting Professor at Nantong University, Nantong; Jiangsu College of Information Technology, Jiangsu, East China Normal University, Shanghai, Chinese Academy of Sciences, Beijing CHINA (2007,2-09,2011); Visiting Research Professor at the University of Western Australia in Perth, and Center for Industrial and Applied Mathematics at the University of South Australia, Adelaide, AUSTRALIA (2008); Minnesota Power Jack Rowe Endowed Chair, University of Minnesota, Duluth (2014-), Satish Dhawan Endowed Visiting Professor at Indian Inst. Of Science (IISc), Bengaluru, INDIA (2017), Nizhny Novgorod and Moscow State University, Moscow, Novosibirsk State Technical University, Novosibirsk (New Siberia), Institute of Control Sciences (ICS), Russian Academy of Sciences RUSSIA (2012,2018). Professor Naidu received twice the Senior National Research Council (NRC) Associateship award from the US National Academy of Sciences (NAS), and is an elected (1995) (now Life) Fellow of the Institute of Electrical and Electronic Engineers (IEEE) and an elected (2003) Fellow of the World Innovation Foundation, UK. Professor Naidu’s teaching and research interests are Electrical Engineering (Power and Energy); Control Systems; Optimal Control: Theory and Applications; Biomedical Sciences and Engineering (Prosthetics and Infectious Diseases); Large Scale Systems and Singular Perturbations and Time Scales (SPaTS): Control Theory and Applications; Guidance and Control of Aerospace Systems: Aeroassisted Orbital Transfer for Mars mission and Uninhabited Aerial Vehicles (UAVs); Advanced Control Strategies for Heating, Ventilation, & Air-Conditioning (HVAC); Modeling, Sensing and Control of Gas Metal Arc Welding (GMAW) and has over 200 journal and conference publications including 9 books. He has been on the editorial boards of several journals including the IEEE Transactions on Automatic Control, Mechatronics: The Science of Intelligent Machines, An International Journal, ELSEVIER, and Optimal Control: Applications and Methods (Wiley). More details at http://www.d.umn.edu/~dsnaidu/.
5. Title of the talk:Emerging challenges in operational of National Grid with Inertia less Generations or Protection of Modern Power systems
Date: 09-01-2020
Speaker: Dr. Manohar Singh, Central Power Research Institute-Bangalore Biography of the speaker: received the B.E. degree in electrical engineering from the Govt. College of Engineering & Technology, Jammu (GCET), Jammu, India, in 2003, the M.Tech. degree in electrical engineering (Power Systems) from the Indian Institute of Technology, Roorkee, India, in 2010, and the Ph.D. degree in electrical engineering also from the Indian Institute of Technology–Delhi, Delhi, in 2015. Presently he is working a permanent engineering officer in of Power Systems Division of Central Power Research Institute- Bangalore, India. His research interests include, power system protection, power systems simulation & modelling and micro-grid. He has published around 20 research papers in International/national Journals and Conferences, worked as a consultant on various industrial/Govt. power utilities and conducted training workshop/tutorial for power utilities like Bhakra Beas management board and in Centre of collaboration advance research (CCAR-CPRI). He is senior member of IEEE and IEEE PES member and executive member of IEEE PES Bangalore Chapter since 2016.
6. Title of the talk:Dynamic Modelling and Optimal Management of Air-traffic over Indian Airspace
Date:03-02-2020
Speaker: Prof. Radhakant Padhi, Professor, Dept. of Aerospace Engineering, Indian Institute of Science, Bangalore
Abstract: Rapid growth in the air-traffic over Indian airspace is slowly becoming quite overwhelming for the existing Air Traffic Control (ATC) system to handle. Appropriate safety measures need to be taken to maintain sufficient separation between them at all point of time while maximizing the air traffic volume in the available airspace at all time. Since different aircrafts fly at different speeds, and also cannot hover for buying time for decision making, the problem is substantially complex. This problem is also aggravated in the vicinity of the airports located in metro cities. Since manual monitoring and guiding of all aircrafts 24/7 in real-time is impossible, optimal, intelligent and predictive decision-making technology needs to be developed to automate the process as much as possible. The first step in this direction is to have a reliable air-traffic flow model for all commercial flights, so that the traffic density in future time can be predicted and appropriate decision can be taken well ahead of time. This problem has been well recognized in the USA, and NASA has come up with the Future ATM Concepts Evaluation Tool (FACET) model. Using the FACET model, many interesting and useful research has been and are being carried out in the USA. Similar research is also being carried out in the Europe on the same topic. However, such a dynamic air-traffic model does not exist for Indian airspace and hence there is no activity in India towards it. Therefore, creation of such an extensive dynamic Air Traffic Model for Airspace (ATMA) of India model, which will include both cruising flights en-route as well as flights near the airports, is a bad necessity at this point of time. This model will include kinematics of flight, information from Base of Aircraft Data (BADA) about performance characteristics of aircrafts, Geodesic coordinates of Airports and declared flight schedules of Airlines. After developing the “ATMA of India” model, a variety of intensive research will be carried out such as 4-D trajectory optimization for maximizing the runway capacity, collision free network stability analysis for an airline's intent to introduce new flights, Sense-and-avoid reactive collision avoidance in case of emergencies, Online re-optimization of trajectories in case of bad weather and/or emergencies etc. This talk will give an overview of the overall problem and highlight the recently initiated activities on this topic in Prof. Padhi’s lab.
Biography of the speaker: Dr. Radhakant Padhi is currently working as a Professor in the Department of Aerospace engineering, Indian Institute of Science, Bangalore. He did his Masters and Ph.D. in Aerospace Engineering from IISc Bangalore and Missouri University of Science and Technology (MST)–Rolla, USA respectively. He joined the IISc, Bangalore as a faculty in December 2003 and is continuing over there since then. He was also a scientist in RCI (DRDO), Hyderabad for a year during 1996-97. Dr. Padhi is a Fellow of Indian National Academy of Engineers (INAE), a Fellow of Institution of Engineers (India), a Fellow of Institution of Electronics and Telecommunication Engineers (IETE), an Associate Fellow of American Institute of Aeronautics and Astronautics (AIAA), a Senior Member of IEEE and a Council member of the International Federation of Automatic Control (IFAC). He is also a member of Technical Committee on Aerospace in both IEEE and IFAC. He is a founding member and a past president of the Automatic Control and Dynamic Optimization Society (ACDOS), which is a National Member Organization of IFAC in India. He is a life member of Aeronautical Society of India, Systems Society of India and Soft Computing Research Society. He is also a steering committee member of Asian Control Association. Dr. Padhi’s main research interest is on synthesis algorithms in optimal and nonlinear control as well as state estimation. He works on diverse application areas such as control and guidance of aerospace vehicles, biomedical systems, mechanical systems, distributed parameter systems, and industrial process control. He has over 240 publications in international journals and conferences and has received many awards and honours for his research contributions. He is a member of the technical review committee in DRDO and ISRO for several projects of national importance and has also directly contributed to various programs of DRDO and ISRO through intensive collaborative research. The control and guidance techniques developed by Dr. Padhi are received well across the globe.
7. Title of the talk:Role of channel state information in adaptation and resource allocation in next generation wireless networks
Date:11-07-2020
Speaker: Dr. Salil Kashyap, Assistant Professor, Department of Electronics and Electrical Engineering, IIT Guwahati
Biography of the speaker: Salil Kashyap is a faculty in the Dept. of Electronics and Electrical Eng. at IIT Guwahati since July 2017. Before joining IIT Guwahati, he was a senior DSP Engineer at Marvell where he designed physical layer algorithms for next generation WLANs (IEEE 802.11ax). Prior to that, he was a post-doctoral researcher at Linkoping University, Sweden. He received his PhD from IISc Bangalore, M.Tech from IIT Guwahati and B.Tech from NERIST. His research interests span areas of wireless communications and signal processing.
8. Title of the talk:Machine Learning for Signal Processing, and Vice Versa
Date:10-10-2020
Speaker: Prof. S. R. M. Prasanna, Professor in the Dept. of Electrical Engineering, and Dean (Faculty Welfare, Research and Development) at IIT Dharwad
Abstract: Signal processing had its glamorous existence over half a century. With machine learning entering into every field, there is a question about the relevance of signal processing. In this talk, the speaker will argue about the coexistence of both the fields. The main objective of signal processing, at least with respect to pattern recognition is to extract relevant features at reduced data rate. Machine learning helps in extracting features from the raw signals by employing a nonlinear processing. With deep learning becoming the latest trend for machine learning, it is becoming difficult to interpret the features extracted or performance achieved. Exactly at this juncture, signal processing knowledge seems to be the saviour. The recent work using sincnet for speaker recognition demonstrates the usefulness of signal processing knowledge for better interpretability and also improved performance under certain conditions.
Biography of the speaker: S. R. M. Prasanna obtained his PhD in CSE from IIT Madras in 2004, MTech in Industrial Electronics from NITK Surathkal in 1997, and BE in Electronics from SSIT Tumakuru (then Bangalore University) in 1994. He was faculty member in the Dept of Electronics and Electrical Engineering, IIT Guwahati from August 2004 to July 2017. From July 2017 onwards he is Professor in the Dept of Electrical Engineering, and Dean (Faculty Welfare, Research and Development) at IIT Dharwad. He has supervised 19 PhD Theses in the speech and handwriting processing area, and published about 250 research articles in the national and international journals and conferences. His areas of research interest include speech and handwriting processing.
9. Title of the talk:India’s Ascent up the 5G Ladder
Date:17-12-2020
Speaker: Prof. Kiran Kuchi, Professor in the Dept. of Electrical Engineering, IIT Hyderabad
Biography of the speaker: Dr. Kiran Kuchi, a professor at Indian Institute of Technology Hyderabad (IITH) is a recognized innovator in the realm of 5G and future standards development. Prof. Kuchi has introduced the culture of developing wireless Standards Related Patents in India through his leadership role at Telecom Standards Development Society, India (TSDSI) and has contributed towards the creation of several important technologies in the 5G standards. Dr. Kuchi has invented & co-invented over 100 patents in the 4G/5G technology, of which many patents have resulted from his work carried out in India. Among these patents, his most well recognized contribution is the introduction of a low PAPR (almost constant OFDM signal) waveform: “pi/2 BPSK with spectrum shaping” that is part of the 5G standard. Dr. Kuchi’s yet another significant achievement is the development of one of the first large scale prototypes of massive MIMO technology that operates either as an outdoor Massive MIMO, or as a distributed small cell cloud RAN system. This experimental research system has been operational since 2017 at IIT Hyderabad.
10. Title of the talk:Microgrids to support Sustainable Energy and Transport Systems
Date:04-03-2021
Speaker: Professor Ghanim Putrus, Northumbria University, Newcastle upon Tyne, UK
Abstract: Energy and transport sectors are undergoing significant changes. With the increased concern about climate change, the interest in renewable energy generation and electric transport is continually increasing. Integrating electric supply and transport systems is the way forward to reduce their high carbon footprint, improve the environment and provide sustainable energy and transport. Microgrids provide the means to support this integration. This talk will give an overview of recent developments that present challenges to electricity supply and electric transport systems. It will also cover opportunities and emerging technologies, including microgrids, that will help in maintaining reliable and affordable electricity and transport systems whilst improving their efficiency and lowering their environmental impacts.
Biography of the speaker: Ghanim Putrus is Professor of Electrical Power Engineering at the Department of Mathematics, Physics and Electrical Engineering, Northumbria University, Newcastle upon Tyne, UK. He has over 30 years of research experience with over 200 publications, including one patent, and has given several invited talks at national and international events. He has led several research projects and has often provided consultancy for industry. He has led several research projects on the integration of renewable energy generation and electric transport into the electricity grid. Prof. Putrus is Associate Editor for Elsevier Renewable Energy journal and serves on the editorial board for the World Electric Vehicle Journal and the technical/steering committees for several conferences. He is actively involved in the Institution of Engineering Technology (IET), member of the IET Northumbria Network (Chairman 2004/2005), and served on the executive committee of the Power Trading and Control Professional Network (2001-2010). His main research interests are the application of power electronics in power systems, integration of electric vehicles, and renewable energy sources into distribution networks (smart grids).
11. Title of the talk:Car Collision Avoidance RADARS
Date:28-10-2021, 3 PM- 4 PM
Speaker: Prof. Jayanta Mukherjee, Professor, EE Department, IIT Bombay
Abstract: In this talk we will be discussing some models for the dielectric constant and loss tangent of car bumpers for advanced driver assistance systems. Quick estimation of bidirectional loss in car collision avoidance systems is an important task for collision avoidance radar design. The frequency band of choice for car collision avoidance systems is the 76-81 GHz band. The shape of the bumper at these frequencies is an important factor in computing the bidirectional loss. We shall be discussing a series fed MIMO antenna design for car radars. We shall also be discussing the bidirectional loss calculation of car collision avoidance radars considering the bumper shape for this antenna.
Biography of the speaker: Prof. Jayanta Mukherjee is a Professor in the Electrical Engineering Department of IIT Bombay. His research interests are in Antennas and RF circuits.
12. Title of the talk:Active, Reactive and Harmonic power sharing in islanded microgrids
Date:2-03-2022, 2:30 PM- 3:30 PM
Speaker: Prof. Vinod Khadkikar, Professor, EE Department, IIT Bombay
Abstract: The growth of local renewable energy sources and heavy loads in power distribution networks, such as the increasing electric vehicles charging stations, causes several issues with a direct impact on the stability of the electrical grid. An attempt to overcome such issues is the microgrid concept, which has the grid structured into local sub-grids that manage their power and energy balancing. A microgrid may operate connected or disconnected from the main grid, being dynamically necessary to guarantee a power balancing between local loads and sources. Furthermore, as several power units are connected to the same microgrid, equity is also required in terms of active, reactive and harmonic power sharing. In today’s talk we will explore a scenario of an island operation of a micro grid with multiple sources, including battery storage systems and sharing power with multiple loads including electric vehicle chargers. A local control solution for a stable operation of the micro grid in terms of both power balancing and power sharing will be discussed. Biography of the speaker: Prof. Vinod Khadkikar is Professor at Department of Electrical Engineering and Computer Sciences, Khalifa University, Abu Dhabi. He has more than 20 years of teaching and research experiences. Prof. Khadkikar has received the M.Tech. degree in power electronics, electrical machines and drives from the Indian Institute of Technology (IITD), New Delhi, India, in 2002 and the Ph.D. degree in electrical engineering from the École de Technologie Supérieure, Montréal, QC, Canada, in 2008. From December 2008 to March 2010, he was a Postdoctoral Fellow with the University of Western Ontario, London, ON, Canada. In 2010, he was a Visiting Faculty with the Massachusetts Institute of Technology (MIT), Cambridge, MA, USA. His research interests include applications of power electronics in distribution systems and renewable energy resources, grid interconnection issues, power quality enhancement, active power filters, electric vehicles etc. Prof. Khadkikar is currently an Associate Editor for the IEEE Transactions on Industrial Electronics, IEEE Transactions on Industry Applications, and IET Power Electronics.
13. Title of the talk:Some properties of integer numbers
Date:28-03-2022, 4:00 PM- 5:00 PM
Speaker: T.S. Rathore, Department of Electrical Engineering, IIT Bombay
Abstract: The lecture will discuss the properties of integer numbers in two parts. The first part will deal with the extension of Kaprekar’s operation. It examines what happens when the iterative operations given by
(?1?2?3 … ??−1 ??) − (????−1 … ?3?2?1)
are carried out. It is shown that the process eventually ends up in a flow diagram: a straight line and a circle. The circle may have either 2 or 5 numbers on it. The second part deals with how to arrange integer numbers 1 to n such that the sum of two adjacent numbers is a perfect square. The following are the important findings:
1. When n is less than 31, there is no closed loop (necklace). When n is 15, 16, 17 there is a single open loop (chain) which contains all the numbers 1 to n. When n is 20, there are two necklaces and two chains connected together. Number 31 is different than all the numbers less than this in the sense that it has more than 2 possible options for each number and needs special treatment.
2. When n is 32 and 33, there is one and only one possible necklace.
3. When n is above 33, all the numbers have more than one necklaces possible. The number of necklaces increases rapidly as n increases above 43. For example, for n = 35, there are 57 possible necklaces.
The lecture will end up with some expected applications of the chains and necklaces. Biography of the speaker: received BSc, ME, and PhD (All in Electrical Engineering) from Indore University, Indore. He served SGSITS, Indore (1965-1978), IIT Bombay (1978-2006), St. Francis Institute of Technology, Borivali (2006-2014) and IIT Goa (2017-2019). He was a post-doctoral fellow (1983-85) at the Concordia University, Canada and a visiting researcher at the University of South Australia, Adelaide (March-June 1993). He was an ISTE visiting professor (2005-2007). He has published and presented several research papers, has authored the book Digital Measurement Techniques, New Delhi: Narosa Publishing House, 1996 and Alpha Science International Pvt. Ltd., U K, 2003 and translated in Russian and Hindi in 2004 and 2020, respectively. He was the Guest Editor of the special issue of Journal of IE on Instrumentation Electronics (1992). He is a member on the editorial boards of ISTE National Journal of Technical Education and International Journal of Advances in Applied Sciences (IJAAS), and was an Editor for IETE Journal of Education. Prof. Rathore is a Life Senior Member of IEEE (USA), Fellow of IETE (India) and IE (India), Member of ISTE, Instrument and Computer Societies of India. He has served IETE Mumbai Centre as Secretary, Vice-Chairman and Chairman. He has received several awards from IETE and ISTE. He is the coauthor of the book Network Analysis (with Van Valkenburg) published by Pearson India Education Services Pvt. Ltd., India, 2019.
14. Title of the talk:An overview and application of intelligent data analytics, machine and Deep Learning Techniques
Date:13-06-2022
Speaker: Prof. G Panda, Professor, EE Department, IIT Bombay
Abstract: The talk comprises three parts. In the first part, the fundamentals of Data Analytics including pre-processing of raw data, features extraction, and feature selection will be dealt with. The key applications such as filtering, clustering, classification, prediction and detection will be explained. An overview of different machine learning techniques will be outlined. Further, the difference between soft computing and computational intelligence will be discussed. The fundamentals of deep learning techniques and their potential applications will also be presented during the talk.
Biography of the speaker: Professor Ganapati Panda is currently working as a Professor and Research Advisor at C V Raman Global University-Odisha, Bhubaneswar, India. Professor Panda served as the Deputy Director, Dean (Academic Affairs), and Head, School of Electrical Sciences at the Indian Institute of Technology, Bhubaneswar. Prof. Panda has also served as Director of the National Institute of Technology, Jamshedpur. He worked for 48 years in teaching and research in leading technical institutions in India. He did his Post-Doctoral research work at the University of Edinburgh, UK (1984-86), and Ph. D. (1981) from IIT, Kharagpur in Digital Signal Processing. He has guided 42 Ph.Ds in the field of Signal Processing, Communication, Artificial Intelligence, and Machine Learning. He has published more than 380 research papers in various referred Journals and Conferences with 11507 citations, h-index of 51, and i10-index of 177 as of 16th May 2022. Ten more Ph.D. students are continuing their Ph.D. work under his active guidance. He is a Fellow of the National Academy of Engineering, India (FNAE) and a Fellow of the National Academy of Science, India (FNASc) for his significant research contribution to signal processing and machine learning. He has received Samanta Chandra Sekhar Award (1993), Biju Patnaik Award (2012), INAE-Outstanding Teacher Award (2017), AICTE-INAE Distinguished Visiting Professorship (2019-20), and AICTE- Margadarshak (2019-20), Life Time Achievement Award – Ravenshaw University (2021), listed under Top 2% Scientist of the world from the Stanford University in the area of AI & ML (2021) for significant contribution to engineering, education, and research. He is a Senior Member of IEEE, Fellow of IET, Fellow of IETE, Fellow of IE, Life Member of CSI, Life Member of ISTE, and Life Member of System Society.
15. Title of the talk:Motivational
Date:28-11-2022
Speaker: Prof. Subrat Kar, Professor, EE Department, IIT Bombay
Abstract: In the interactive talk, Prof. Subrat spoke about pre and post covid life and managing time in most efficient and accurate way.
Biography of the speaker: Prof. Subrat Kar is currently working as a professor at dept of Electrical engineering & Bharti school of Telecommunication Technology and Management, Indian Institute of Technology Delhi. Prof. Kar teach, guide research and have developed projects majorly in Optics, photonics circuits & networks, photonics switching optical communication and opto electronic subsystems. Embedded telecom systems including sensor networks, protocols and real time operating systems, telecom transmission & switching. Prof. Kar has published 2 books and over 300+ journal papers. Prof. Kar is Fellow of ICEIT, ISOI, IETE, OSI and IE (I). He is member of many professional bodies such as IEEE, SPIE, IENE to name a few. Prof. Kar has served as Chirman, national Programme on Bio instrumentation, DBT. Apart from his regular teaching & research work, Prof. Kar also believe in staying motivated towards hobbies, in view of these prof kar has written and translated more than 30stories in the form of audio and scripts.
16. Title of the talk:Scattering Media: useful tools and challenging obstacles for optical imaging
Date:8-12-2022
Speaker: Prof. Steve Cuong Dang,
Abstract: In the interactive talk, Prof. Subrat spoke about pre and post covid life and managing time in most efficient and accurate way.
Biography of the speaker: The scattering media, such as frosted glass or biological tissue and human skin, seems only to diffuse light, creating random speckles and deteriorating our visual ability as well as imaging capability. Here, we demonstrate that scattering media not only help us take photos but also do spectral filtering simultaneously. More interestingly, a single piece of optical diffuser can work as multiple lenses and multiple filters for a single-shot multi view or multispectral camera[1]. Besides the ground glass optical diffusers, i.e., the static scattering media, that can be pre-characterized and utilized, there are various biological tissues that are dynamic optical diffusers and cannot be characterized, creating enormous challenges to realize the object hidden behind even at low resolution. Our group pioneered non-invasive super-resolution imaging through scattering media. In the talk, I will discuss stochastic optical scattering localization imaging (SOSLI)[2] and non-invasive super-resolution speckle fluctuation imaging (NISSFI)[3], our two techniques to take super-resolution images through scattering media non-invasively. We simply use a camera (without any lens) to capture multiple speckle patterns created by stochastic emitters in the object. Then, our computational approach with a phase retrieval algorithm, point-spreading function (PSF) estimation, deconvolution, localization, and high-order cumulants, can sharply retrieve the object hidden behind scattering media. Our super-resolution techniques break the diffraction limit to realize nanometer-scale objects from their speckle patterns through dynamic scattering media. Our results present a new and practical approach towards sub-diffraction limited biological imaging with superior clarity.
[1] Optica 4 (10), 1209-1213 (2017)
[2] Nature Communications 12 (1), 1-9 (2021)
[3] ArXiv preprint arXiv:2109.07797 (2022)
Biography of the speaker: Associate Professor Steve Cuong Dang is the director of Centre for OptoElectronics and Biophotonics (COEB) and the Assistant Chair of Innovation at the School of Electrical and Electronic Engineering, Nanyang Technological University (NTU). He received Ph.D. in Physics and M.Sc. in Electrical and Computer Engineering from Brown University, USA. Dr. Dang’s research focuses on nanophotonics, nanomaterials and their applications in sensors, photovoltaics, light-emitting diodes and lasers. He also extends the research to manipulating and exploiting scattered light through highly scattering media with direct applications in biomedical imaging, photoacoustic imaging and optogenetics. His research has been published and highlighted in top international journals, including Nature Nanotechnology, Nature Photonics, Science Advances, Nature Communication, and Optica. Dr. Dang’s research and development with QD Vision Inc., Lexington, MA, USA were recognized with the first quantum dot product for solid-state lighting: “Quantum Light TM Optic”; Then it has been further developed as “Color IQ”;, the world’s first high-volume Quantum Dot product for LCD Televisions. Sony’s BRAVIA 4K 65-inch Televisions that use QD Vision’s Color IQ were named Best of Show Product at the Consumer Electronics Show (CES) 2013 with their color enhancement.
17. Title of the talk:SInverse Problems with Nonnegative and Sparse Solutions: Algorithms and Application to Phase Retrieve Problem
Date:8-12-2022
Speaker: Prof. Pham Quy Muoi,
Abstract: In this talk, I present a gradient-type and semi-smooth Newton method to minimize the regularized inverse problems for nonnegative and sparse solutions. Using a special penalty functional, regularized minimization problems get nonnegative and sparse minimizers, and then the algorithms are applied to solve the regularized minimizer problems. The strong convergence of the gradient-type method and the local superlinear convergence of the semi-smooth Newton method is proved. Then, The algorithms are used to solve the phase retrieval problem. The efficiency of the algorithms is illustrated through a numerical example.
Biography of the speaker: Associate Professor Pham Quy Muoi is the dean of the Department of Mathematics at the University of Danang – University of Science and Education. He received M.Sc. in Analysis Mathematics from Hanoi National University, Vietnam, and a Ph.D. in Mathematics from the University of Bremen, Germany. The main research fields of Dr. Muoi are inverse and ill-posed problems, optimization problems, and algorithms and PDEs. He was recognized as an associate professor in Vietnam in November 2022.
18. Title of the talk:: The Case for carbon as driver for Next generation device for High sensitivity sensing and Energy storage
Date:23-12-2022
Speaker: Prof. Samuel Kinde Kassegne,
Abstract: The broad areas of carbon, particularly in glassy carbon and graphene, continue to experience renewed and increasing research interest. Their established biocompatibility, high signal-to-noise ratio, high charge storage capacity, resistance to corrosion, and MRI-compatibility have further enabled carbon materials to emerge as a compelling material for biosensing and implantable probes. But still, could their mechanical, electrical, and electrochemical properties be improved even more for an increasing array of application areas? In this talk, we present recent experimental progress made in establishing carbon as a versatile electrode material in the broad areas of BCI (brain computer interface) and bioelectronics and also explore the opportunities available in further extending the use of carbon in next generation bio-sensing and energy storage systems. In specific terms, we will present a computational framework built around a reactive molecular dynamics simulation using bond-order based reactive force field formulations. This framework is used for modelling the synthesis process and investigating in detail (i) the reaction pathways that give rise to intermediate and final species (ii) the intermediate and final stages of carbonization with particular focus on nanostructures and (iii) formation of functional groups and the processes and parameters that drive their evolution. Through a combination of experimental work, computational framework, and comprehensive morphological and surface material characterizations, we present evidence that demonstrate that carbon is increasingly becoming a material of interest for a wider adoption in such applications as bioelectronic systems, BCI, and implanted glucose monitors in a closed loop manner where electrical and electrochemical recordings are needed. Further, we demonstrate that there is plenty of room for exploration and discovery of hybrid carbon materials, particularly from allotropes of carbon in high-temperature environment, where new research possibilities exist in experimental and modeling approaches that contribute to bridging the current gaps in isolated research in each of the carbon allotropes.
Biography of the speaker: Dr. Sam Kassegne holds a Ph.D. degree in engineering mechanics from Virginia Tech. His research interests are in the general areas of nanofabrication and next-gen micro devices (MEMS). His group has made significant contributions in the broad areas of carbon-based micro/nanofabrication and developed several innovative neural interfaces for brain and spinal cord signal recording and stimulation as part of bi-directional closed-loop brain- computer interface (BBCI) system. Dr. Kassegne is currently deputy director of Center for Neurotechnology (CNT), NSF funded (~$40 million for 10 years) ERC (Engineering Research Center). The leading partner institutions are University of Washington and MIT. He is also Director of the newly established NanoFAB.SDSU Consortium. Dr. Kassegne has generated almost $42 million research grant as part of a group and published more than 60 journal publications, 4 book chapters, and 40+ conference papers. His NanoFAB.SDSU Lab Introduced glassy carbon neural probes to the literature with 22+ publications demonstrating record-setting detection limits for key biomarkers such as dopamine and serotonin. His Lab also recently introduced a novel carbon-based hybrid material from graphene and glassy carbon. His Lab has been very effective in mentorship where more than 100 graduate students have completed their thesis under Dr. Kassegne’s supervision along with hosting 65+ undergrad researchers and 25 visiting post-bac and grad students. Dr. Kassegne has an extensive entrepreneurial and industrial experience in MEMS and other areas acquired through his start-up company (Grapheton) and employment at Nanogen, Microfabrica and Bentley Systems. He also has consulted for several companies such as NeuroOne, Watts Technologies, Corning/Intellisense, SAIC, Nevada Nanotech, OxyHeal, Cooley LLP, Nokia, etc. Dr. Kassegne’ s research has been funded by NSF, DOE, DOD (SPAWAR), Amco (Korea), etc.