Invited Speakers

Sr. No.	Invited Speaker’s Name	Company/ University/Institute
1	Dr. Victor Chan	IBM Research, USA
2	Dr. Krishna Bhuwalka	Huawei, Belgium
3	Dr. Madhur Bobde	Alpha Omega Semiconductor, USA
4	Dr. Amitava Das	Tagore Tech, USA
5	Mr. Praful Jain	AMD, USA
6	Dr. Mototsugu Okushima	Renesas, Japan
7	Dr. Rwik Sengupta	Cadence, USA
8	Dr. Ajay Kumar Vaidhyanathan	Intel, USA
9	Dr. Shekar Mallikarjunaswamy	Alpha Omega Semiconductor, USA
10	Dr. Liu Hang	Globalfoundries, Singapore
11	Dr. Abhinav Kandala	IBM Research, USA
12	Dr. Hardy Chen	KLA, Taiwan
13	Dr. Anton Devillier	Tokyo Electron Ltd; Japan
14	Dr. Roland Saint-Pierre	Power Integrations, USA
15	Dr. Davide Bisi	Transphorm, USA
16	Dr. Dinesh Ramanathan	NexGen Power Systems, USA
17	Dr. Vamsi K. Paruchuri	ASM International N.V., Netherlands
18	Dr. Prasad Joshi	Transphorm, USA
19	Dr. Ron Sinton	Sinton Instruments, USA
20	Dr. Anand Ramaswamy	OpenLight, USA
21	Dr. Subhash Pidaparthi	NexGen Power Systems, USA
22	Dr. Vinayak Bharat Naik	GlobalFoundries, Singapore
23	Dr. Saptadeep Pal	Auradine, USA
24	Dr. Jonathan White	Synopsys Corp, USA
25	Dr. Raveesh Magod	Texas Instruments, USA
26	Dr. Radhakrishnan Sithanandam	Micron Technology, India
27	Dr. Ruchir Dixit	Siemens, India
28	Dr. Prasanna Rajagopal	Texas Instruments, India
29	Dr. Vinay Kumar Dasarapu	Synopsys, India
30	Dr. Samit Barai	Applied Materials, India
31	Dr. Sushant Mittal	LAM Research, India
32	Dr. Achutha Kiran Kumar	Intel, India
33	Dr. Somu Ghosh	Texas Instruments, India
34	Dr. Ananth Sundaram	GlobalFoundries, India
35	Dr. Arijit Mukherjee	TCS Research, India
36	Dr. Venkata Vanukuru	GlobalFoundries, India
37	Dr. Vinayakam Subramanian	ANSYS, India
38	Mr. Anil Kumar Baratam	ARM, India
39	Mr. Arun Joseph	IBM, India
40	Dr. Kranthi Nagothu	Texas Instruments, India
41	Dr. Usha Gogineni	AMS OSRAM, India
42	Dr. Milind Dighrasker	Infineon Technologies, India
43	Dr. Anurag Mittal	Synopsys, India
44	Dr. Samir Ghosh	Tyndall National Institute, Ireland
45	Dr. Andras Kis	EPFL, Switzerland
46	Dr. Branson Belle	SINTEF, Norway
47	Prof. Zakaria Al Balushi	University of California, Berkley, USA
48	Prof. Ritesh Agarwal	University of Pennsylvania, USA
49	Prof. Madhavan Swaminathan	Georgia Institute of Technology, USA
50	Prof. Subramanian Iyer	University of California, Los Angeles, USA
51	Prof. Ganesh Subbarayan	Purdue University, USA
52	Dr. Asif Khan	Georgia Institute of Technology, USA
53	Prof. M. P. Anantram	University of Washington, USA
54	Prof. Alex Qin Huang	University of Texas, Austin, USA
55	Prof. Ananth Dodabalapur	University of Texas, Austin, USA
56	Dr. Sudhir Kumar	ETH Zurich, Switzerland
57	Prof. Saptarshi Das	University of Pennsylvania, USA
58	Dr. Matteo Buffolo	University of Padova, Italy
59	Prof. Hussam Amrouch	University of Stuttgart, Germany
60	Dr. Tapas Dutta	University of Glasgow, UK
61	Dr. Amit Ranjan Trivedi	University of Illinois, Chicago, USA
62	Prof. Harish Bhaskaran	Oxford University, UK
63	Prof. Mario Lanza	KAUST, Saudi Arabia
64	Prof. Sanjay Krishna	Ohio State University, USA
65	Prof. Amr Helmy	University of Toronto, Canada
66	Prof. Ranjan Singh	Nanyang Technological University, Singapore
67	Prof. Peter Uhd Jepsen	Technical University of Denmark, Denmark
68	Prof. Harish Krishnaswamy	Columbia University, USA
69	Prof. Saibal Mukhopadhyay	Georgia Institute of Technology, USA
70	Prof. Pankaj Vadgama	University of London, UK
71	Prof. Manas Mukherjee	Centre for Quantum Technologies, Singapore
72	Dr. Pieter Weckx	IMEC, Belgium
73	Prof. Bent Weber	Nanyang Technological University, Singapore
74	Dr. Sujith Subramanian	IMEC, Belgium
75	Prof. Myeong Soo Kang	Korea Advanced Institute of Science & Technology, South Korea
76	Dr. Kaining Ding	Forchungszentrum, Juelich, Germany
77	Prof. Khaled Nabil Salama	KAUST, Saudi Arabia
78	Prof. Siddharth Rajan	Ohio State University, USA
79	Dr. Julien Ryckaert	IMEC, Belgium
80	Prof. Nazek El-Atab	KAUST, Saudi Arabia
81	Prof. Daniele Ielmini	Politecnico di Milano, Italy
82	Prof. Merlyne De Souza	University of Sheffield, UK
83	Prof. Xiaohang Li	KAUST, Saudi Arabia
84	Prof. Ayodhya Nath Tiwari	EMPA, Switzerland
85	Prof. Steven Ringel	Ohio State University, USA
86	Dr. Carlo De Santi	University of Padova, Italy
87	Prof. Luis A Jauregui	University of California Irvin, USA
88	Prof. Shankar Ekkanath Madathil	University of Sheffield, UK
89	Prof. Bharat Jalan	University of Minnesota, USA
90	Dr. Akhilesh Jaiswal	University of Sounthern California, USA
91	Prof. Madhu Bhaskaran	RMIT University, Australia
92	Prof. Shweta Agarwala	Aarhus University, Denmark
93	Prof. Prashant V. Kamat	University of Notre Dame, USA
94	Prof. Shideh Kabiri Ameri	Queens University, Canada
95	Dr. Yuqing Jiao	TU Endhoven, Netherlands
96	Prof. Elie Paillard	Politecnico di Milano, Italy
97	Prof. Wim Bogaerts	Ghent University, Belgium
98	Prof. Nicolas Volet	Aarhus University, Denmark
99	Prof. Yating Wan	KAUST, Saudi Arabia
100	Prof. Patrick Fay	University of Notre Dame, USA
101	Prof. Ray Hueting	University of Twente, Netherlands
102	Dr. Shubhakar Kalya	Singapore University of Technology and Design, Singapore
103	Dr. Urbasi Sinha	Raman Research Institute, India
104	Dr. Meena Mishra	Solid State Physics Laboratory, India
105	Prof. Shankar Kumar Selvaraja	Indian Institute of Science, India
106	Dr.Raghvendra Sahai Saxena	Solid State Physics Laboratory, India
107	Dr. Krishna B Balasubramanian	IIT Delhi, India
108	Prof. Prasana Kumar Sahoo	IIT Kharagpur, India
109	Prof. Arindam Ghosh	Indian Institute of Science, India
110	Prof. Shubham Sahay	IIT Kanpur, India
111	Dr Anbarasu Manivannan	IIT Madras, India
112	Prof. Manan Suri	IIT Delhi, India
113	Prof. Shreepad Karmalkar	IIT Madras, India
114	Prof. Deleep R. Nair	IIT Madras, India
115	Prof. Soumya Shubhra Nag	IIT Delhi, India
116	Prof. Akshay Naik	Indian Institute of Science, India
117	Prof. Monika Katiar	IIT Kanpur, India
118	Prof. Dinesh Kabra	IIT Bombay, India
119	Prof. Subho Dasgupta	Indian Institute of Science, India
120	Dr. Dipak Kumar Goswami	IIT Kharagpur, India
121	Dr. Soumya Dutta	IIT Madras, India
122	Dr. Parasuraman Swaminathan	IIT Madras, India
123	Prof. Sanjiv Sambandan	Indian Institute of Science, India
124	Dr. Sai Gautam Gopalakrishnan	Indian Institute of Science, India
125	Prof. Naga Phani B Aetukuri	Indian Institute of Science, India
126	Prof. R. Kothandaraman	IIT Madras, India
127	Prof. Deepa Khushalani	TIFR Bombay, India
128	Prof. Bhaskaran Muralidharan	IIT Bombay, India
129	Prof. Kaushik Basu	Indian Institute of Science, India
130	Prof. Amitava Dasgupta	IIT Madras, India
131	Prof. Swaroop Ganguly	IIT Bombay, India
132	Prof. Amit Agarwal	IIT Kanpur, India
133	Dr. Rik Dey	IIT Kanpur, India
134	Prof. Udayan Ganguly	IIT Bombay, India
135	Dr. Pavan Nukala	Indian Institute of Science, India
136	Prof. Debanjan Bhowmik	IIT Bombay, India
137	Prof. Bhaskar Kanseri	IIT Delhi, India
138	Prof. Kausik Majumdar	Indian Institute of Science, India
139	Prof. Dipankar Saha	IIT Bombay, India
140	Prof. Yashowanta N Mohapatra	IIT Kanpur, India
141	Dr. Samaresh Das	IIT Delhi, India
142	Dr. Amit Verma	IIT Kanpur, India
143	Prof. P. Vigneshwara Raja	IIT Dharware, India
144	Dr. Brajesh Rawat	IIT Ropar, India
145	Dr. Bhola Nath Pal	IIT BHU, India
146	Prof. Tharangattu N. Narayanan	TIFR Hyderabad, India
147	Prof. Biswanath Chakraborty	IIT Jammu, India
148	Prof. Sudeb Dasgupta	IIT Roorkee, India
149	Prof. Kaushik Nayak	IIT Hyderabad, India
150	Prof. Harshit Agarwal	IIT Jodhpur, India
151	Dr. Satyabrata Jit	IIT BHU, India
152	Dr. Sourajeet Roy	IIT Roorkee, India
153	Prof. Vijaya Kumar Gurugubelli	IIT Tirupati, India
154	Prof. Anand Bulusu	IIT Roorkee, India
155	Prof. Tarun Kumar Agarwal	IIT Gandhinagar, India
156	Prof. Tanmoy Pramanik	IIT Roorkee, India
157	Dr. Arvind Ajoy	IIT Palakkad, India
158	Dr. Ankush Bag	IIT Mandi, India
159	Dr. Davinder Kaur	IIT Ropar, India
160	Prof. Sukomal Dey	IIT Palakkad, India
161	Dr. Rajeev N Kini	IISER Thiruvananthapuram, India
162	Dr. Jim Joseph John	Dubai Electricity and Water Authority, UAE
163	Prof. Shinichi Nishizawa	Kyushu University, Japan
164	Prof. Amit Munshi	Colorado State University, USA
165	Prof. Zhipei Sun	Aalto University, Finland
166	Prof. Eilam Yalon	Israel Institute of Technology, Israel
167	Prof. Muthukumaran Packirisamy	Concodia Institute of Aerospace Design and Innovation, Canada.
168	Prof. Martin Kaltenbrunner	Johannes Kepler University Linz, Austria
169	Dr Ajay Pandey	Queensland University of Technology, Australia
170	Prof. Prashant Murlidhar Sonar	Queensland University of Technology, Australia
171	Prof. Doron Naveh	Bar-Ilan University, Israel
172	Prof. Jayasimha Atulasimha	Virginia Commonwealth University, USA
173	Prof. Malachi Noked	Bar-Ilan University, Israel
174	Dr. Dhaval Dalal	ACP Technologies, India
175	Dr. Duvvuri satyanarayana Prasad	CMET Hyderabad, India
176	Prof. Arunkumar Gopal	Vellore Institute of Technology, India
177	Mr. Archit Asthana	Chara Technologies, India
178	Dr. G. Rajeswaran	Grantwood Technologies Inc; India
179	Prof. Ditty Dixon	Mahatma Gandhi University, India
180	Prof. Perumal Elumalai	Pondicherry University, India
181	Prof. Chandan Yadav	NIT Calicut, India
182	Dr. Dominic Bresser	Helmholtz Institute Ulm, Germany
183	Prof. Jian Wang	Huazhong University of Science and Technology, China
184	Prof. Vinod Menon	The City College of New York, USA
185	Prof. Burhan Saifaddin	King Fahd University of Petroleum & Minerals, Saudi Arabia
186	Prof. Sushil Kumar	Lehigh University, USA
187	Prof. Nilesh Goel	BITS Dubai, UAE
188	Prof. Thomas Zimmer	University of Bordeaux, France
189	Dr. Sitangshu Bhattacharya	IIIT Allahabad, India
190	Prof. Trupti Ranjan Lenka	NIT Silchar, India
191	Prof. Nanditha Rao	IIIT Bangalore, India
192	Prof. Vadim Issakov	University of Braunschweig, Germany
193	Prof. Dhanvir Singh Rana	IISER Bhopal, India
194	Prof. Seena V	Indian Institute of Space Science and Technology, India
195	Dr. Md Zunaid Baten	Bangladesh University Of Engineering & Technology, Bangladesh
196	Dr. Ramesh Mohan Thamankar	Centre for Functional Materials, Vellore Institute of Technology, Vellore, TN, India
197	Prof. Sunil Babu Eadi	Chungnam National University, South korea
198	Mr. Vijay Bolloju	GyanTrek, India
199	Dr. Kumar Prasannajit Pradhan	IIITDM Kancheepuram, India
200	Dr. Dhananjaya Dendukuri	Achira Labs, India

Prof. Prashant Murlidhar Sonar

Queensland University of Technology

Bio: Prof. Prashant Sonar is an ARC Future Fellow and Professor in the School of Chemistry and Physics and Centre for Material Science at the Queensland University of Technology, (QUT), Australia. He is serving as an Associate Editor of the journal Flexible and Printed Electronics and Material Research Express (Institute of Physics, London). Recently, he has been elected as a Fellow of the Royal Chemical Society (FRSC) and a Foreign Fellow of the Maharashtra Academy of Sciences (FFMAS). He is a recipient of the Award for Excellence-Impact and Translation (2020), from the Centre for Materials Science, QUT, Australia, and the Vice-Chancellors Performance Award from QUT Australia (2016). He also received Thiemann Exchange Program Award from Technion-Israel Institute of Technology (2017), Israel, and the Foreign Collaborator Award from Grant-in-Aid for Scientific Research on Innovative Areas, MEXT, (2016) Japan. He has published 225 peer-reviewed research papers (H-index-51, close to 10,000 citations) and filed 3 US patents. Prof. Sonar delivered 90 invited talks at international conferences and institutes.

Talk Title: Molecular Engineering of π-Functional Conjugated Materials for Photonics, Electronics, and Sensing

Abstract: Next generation active electronic materials used in devices are undergoing continual improvements to generate devices that are high performance, lighter, flexible, stretchable, and more energy efficient with lower cost. Carbon based novel solution processable π-functional conjugated materials are the focus of intense academic and industrial research since they are important class of soft materials for large area electronics including transistors, displays, sensors and light harvesting devices. The active organic semiconducting materials are emerging due to their tunable light absorption/emission, interesting charge transport properties, relatively adequate HOMO-LUMO energies and ink formulation capability.
In my talk, I will explain the various classes of conjugated carbon-based materials either as polymers, small molecules or quantum dots prepared via chemically and electrochemically using various novel aromatic conjugated building blocks. In this presentation, the design, synthesis, optoelectronic properties, and device performance of novel advanced materials for field effect/electrochemical transistors, perovskite solar cells, light emitting diodes, optical sensors and various sensing devices will be discussed. Such materials and devices have great potential in future electronics, energy, health, and environmental monitoring.

Prof. Steven Ringel

The Ohio State University, USA

Bio: Steven A. Ringel is a professor and holds the Neal Smith Endowed Chair in the Department of Electrical and Computer Engineering at Ohio State. He is also the Founding Director of The Ohio State University Institute for Materials Research (IMR), which encompasses Ohio State’s multi-college materials research enterprise spanning 6 colleges, more than 140 faculty groups, and both government and industry-supported centers of research excellence. Prof. Ringel is an internationally recognized authority for his research innovation and leadership in electronic materials and devices, and particularly for his pioneering contributions that are advancing high efficiency and low-cost compound semiconductor-silicon integrated photovoltaics and also for his efforts to advance wide bandgap electronic and photonic device technologies through the development and application of several defect characterization methods.

Talk Title: Investigation and Comparison of Deep Acceptors in β-Ga2O3 using Defect Spectroscopies

Abstract: Steven A. Ringel(1), Hemant Ghadi(1), Joe F McGlone(1), Alexander Senckowski(2), Shivam Sharma(3), Man Hoi Wong(2) and Uttam Singisetti(3)
(1) Electrical and Computer Engineering, The Ohio State University, Columbus, Ohio,
(2) Electrical and Computer Engineering, University of Massachusetts Lowell, Massachusetts,
(3) Electrical Engineering, University of Buffalo, Buffalo, New York
Beta phase gallium oxide (β-Ga2O3) is a strong contender for next-generation high voltage and RF device applications. A key component of such devices is a semi-insulating, highly resistive buffer layer or substrate. To date, iron (Fe) has been the preferred acceptor impurity to achieve semi-insulating β-Ga2O3. Iron produces an energy level at EC-0.8 eV, which has been substantiated by theoretical and experimental studies and enables highly resistive material. However, it has also been shown that residual Fe impurities can result in device switching instabilities since the Fermi level can modulate the occupancy of the Fe trap state during standard biasing conditions. While progress to mitigate the impact of residual Fe impurities has occurred, there is also interest in exploring acceptors with much deeper energy levels to avoid device instabilities. Magnesium (Mg) and nitrogen (N) have emerged as candidates based on their predicted energy levels of EC-3.3 eV and EC-2.8 eV, respectively (H. Peelaers, et al., APL Mater. 7, 022519, 2019). This presentation will compare each acceptor, with a primary focus on N, using deep level optical spectroscopy (DLOS) and thermally based deep level transient spectroscopy (DLTS).
Here, N acceptors were introduced into HVPE-grown β-Ga2O3 by ion implantation. A uniform N-implantation profile was used targeting multiple doses in different samples, followed by an activation anneal. DLTS and DLOS measurements were applied before and after annealing. After implantation, multiple trap states appeared, most of which were removed by annealing, leaving a single, new state at EC-2.9 eV, with a Frank-Condon energy of 1.4 eV. The concentration of this state monotonically tracked with nitrogen concentration from SIMS. This energy level closely matches predicted values for an acceptor-like defect due to nitrogen atoms occupying the oxygen III sites, determined by density functional theory (DFT) calculations (H. Peelaers, et al., APL Mater. 7, 022519, 2019; Y.K. Frodason, et al. J. Appl. Phys. 127, 075701, 2020), The much deeper energy compared with Fe could imply a significantly lower operational instability than the shallower Fe acceptor at EC-0.8 eV. However, we found that the below midgap position of the NO(III) level, coupled with its small optical cross-section, complicates the trap concentration analysis by DLOS, which is important for understanding how to characterize very deep states in β-Ga2O3. Simultaneous hole emission to the valence band and electron emission to the conduction band was seen. Similar challenges might be present for Mg doping as well. The impact of this behavior on DLOS analysis is discussed, and a method to resolve this complication will be presented, which is needed to guide further optimization of this critical step in gallium oxide device development.

Dr. Harish Krishnaswamy

Sivers Semiconductors

Bio: Harish Krishnaswamy (Senior Member, IEEE) received the B.Tech. degree in electrical engineering from IIT Madras, Chennai, India, in 2001, and the M.S. and Ph.D. degrees in electrical engineering from the University of Southern California (USC), Los Angeles, CA, USA, in 2003 and 2009, respectively.,In 2009, he joined the Electrical Engineering Department, Columbia University, New York, NY, USA, where he is currently an Associate Professor and the Director of the Columbia High-Speed and Millimeter-Wave IC Laboratory (CoSMIC). In 2017, he co-founded MixComm Inc., Chatham, NJ, USA, a venture-backed startup, to commercialize CoSMIC Laboratory’s advanced wireless research. MixComm Inc. signed an agreement to be acquired by Sivers Semiconductor, Stockhom, Sweden, for $155M in October 2021. His research interests include integrated devices, circuits, and systems for a variety of RF, millimeter-wave (mmWave), and sub-mmWave applications.,Dr. Krishnaswamy has been a member of the Technical Program Committee of several conferences, including the IEEE International Solid-State Circuits Conference since 2015 and the IEEE Radio Frequency Integrated Circuits Symposium since 2013. He is a member of the DARPA Microelectronics Exploratory Council. He was a recipient of the IEEE International Solid-State Circuits Conference Lewis Winner Award for Outstanding Paper in 2007, the Best Thesis in Experimental Research Award from the USC Viterbi School of Engineering in 2009, the Defense Advanced Research Projects Agency Young Faculty Award in 2011, the 2014 IBM Faculty Award, the Best Demo Award at the 2017 IEEE International Solid-State Circuits Conference (ISSCC), the Best Student Paper Awards at the 2015, 2018, and 2020 IEEE Radio Frequency Integrated Circuits Symposium, the 2020 IEEE International Microwave Symposium, the 2021 IEEE MTT-S Microwave Magazine Best Paper Award, and the 2019 IEEE MTT-S Outstanding Young Engineer Award. He has served as a Distinguished Lecturer for the IEEE Solid-State Circuits Society.

Talk Title: Enabling Technologies for Low-Cost mmWave SATCOM Terminals

Abstract: mmWave 5G has received a lot of attention due to its ability to deliver extremely high data rates to the user, while also posing challenges to the designer related to the need for large-scale arrays, high-power and high-efficiency power amplifiers, and advanced mmWave packaging. However, over the past year or two, there has been a significant rise in the interest in mmWave SATCOM, driven by the lowering of the barrier to launch satellites into orbit. SATCOM ground terminals, however, pose challenges that are akin to those posed by 5G on steroids – the arrays are 10x larger in size, amplifier efficiency is even more important, <2dB LNA noise figure is required, and electromagnetic, mechanical and thermal packaging challenges are even more severe. This presentation will touch upon various enabling technologies for mmWave SATCOM ground terminals – RF-SOI technologies, high-power high-efficiency mmWave PA design, extremely-low-NF LNA design, and scalable multi-beamforming.

Prof. Ranjan Singh

NTU Singapore

Bio: Ranjan Singh is an Indian scientist and an Associate Professor at Nanyang Technological University (NTU) Singapore. He received B. Eng. in Telecommunications from Bangalore University (2001), M. Tech in Photonics from Cochin University (CUSAT), and a Ph. D. in Photonics from Oklahoma State University (2009). During 2009-2013, he was a postdoc at the Los Alamos National Laboratory. He founded TeraX Labs in 2013 at the Division of Physics, NTU Singapore. He is an elected fellow of OPTICA (OSA) for pioneering contributions in ultrafast terahertz photonics, active metamaterials, and sensors. His current research interests include terahertz electronic-photonic hybrid technologies for 6G communications, intelligent metasurfaces for beamforming, THz topological photonics, THz spintronics, quantum materials, and chalcogenide micro-nanophotonics. He has raised US$ 12M in competitive research grants, including a US $7M to develop on-chip terahertz topological photonics for 6G communication (TERACOMM). He has been listed as one of the top 1% of highly cited researchers by the web of science in 2020 and 2022.

Talk Title: Terahertz Silicon Topological Photonics for 6G communications

Abstract: Global digitalization and the recent rise of artificial intelligence-based data-driven applications have directed their vectors towards terabits per second (Tbps) communication links. The fast-evolving 5G communication network cannot fulfill this demand due to several technological challenges, including bandwidth scarcity, which has stimulated innovative technologies with a vision of 6G communication. Terahertz (THz) technologies have been identified as a critical candidate for the emerging 6G communication with the potential to provide ubiquitous connectivity and remove the barrier between the physical, digital, and biological worlds. Nonetheless, the existing THz photonic on-chip communication devices suffer from backscattering, bending loss, limited data speed, and lack of active tunability. Here, I will describe a new class of on-chip THz photonic topological devices consisting of low-loss, broadband single channel 160 Gbit/s communication link and critically coupled high-Q (Q ~ 106) cavities built on Silicon Valley-Hall Photonic Crystal. Silicon topological photonics will pave the path for augmentation of CMOS-compatible hybrid electronic-photonic driven terahertz technologies, vital for accelerating the development of 6G communications that would empower societies with real-time terabits per second wireless connectivity for network sensing, holographic communication, cognitive internet of everything, and massive digital cloning of the physical and the biological world.

Prof. Kaushik Basu

Indian Institute of Science

Bio: Kaushik Basu received the BE. Degree from the Bengal Engineering and Science University, Shibpore, India, in 2003, the M.S. degree in electrical engineering from the Indian Institute of Science, Bangalore, India, in 2005, and the PhD degree in electrical engineering from the University of Minnesota, Minneapolis, in 2012, respectively. He was a Design Engineer with Cold Watt India in 2006 and an Electronics and Control Engineer with Dynapower Corporation USA from 2013-to 15. He is an Associate Professor in the Department of Electrical Engineering at the Indian Institute of Science. He served as the Technical Program Committee Vice-Chair of IEEE ECCE 2019 and 2022. In 2019, he received the Prof. Priti Shankar Teaching Award from IISc. As a co-author, he received the Second Best Prize Paper Award from IEEE Transactions on Transportation Electrification in 2021. He is IEEE senior member and is the founding chair of both IEEE PELS and IES Bangalore Chapter. He is an Associate Editor of IEEE Transactions on Power Electronics and IEEE Transactions on Industrial Electronics. His research interests include most aspects of Power Electronic converter design from a few kW to a few MW for applications ranging from space, grid integration of renewables and storage to fast charging of electric vehicles.

Talk Title: Characterisation and Modelling of the Switching transitions of WBG Devices

Abstract: Silicon Carbide MOSFETs (SiC MOSFETs) fall into the class of wide band gap (WBG) power devices. These devices are commercially available in the voltage range of 600-3300V and compete with the state-of-the-art Si-insulated gate bipolar junction transistors (IGBTs). Superior material properties of SiC MOSFET lead to smaller die sizes. This results in faster switching transients and lower switching loss. However, it excites device and circuit parasitic that may lead to prolonged oscillation, high device stress, spurious turn-on and EMI-related issues. So, the benefit of using SiC MOSFET as a power device comes with numerous design challenges resulting in slow commercial adaptation. It is predicted that the overall market share of WBG devices (SiC and GaN together) will be roughly 10% of the total market for power semiconductors by 2025. To overcome the design challenges and fully utilise the benefits of fast-switching SiC MOSFETs, a better understanding of switching dynamics is essential. However, the switching dynamics of SiC MOSFET are different compared to its Si counterpart due to the highly non-linear device characteristics and participation of circuit parasitic in the process. In this talk, we will discuss our recent work on developing an analytical model of the switching dynamics for hard and soft transitions of SiC MOSFET by simplifying the complex non-linear dynamics predicted by the behavioural model. The developed model, given the device-related parameters extracted from the data sheet, estimated or measured circuit parasitic, can predict lost switching energy, rate of change of device voltage etc., necessary for a successful power converter design through computation with sufficient accuracy.

Dr. Saptadeep Pal

Auradine Inc., USA

Bio: Saptadeep Pal is the Founding Principal Engineer at Auradine, Inc., a startup focused on building sustainable, scalable and secure hardware solutions for next-generation web applications. He helps define ultra-low power circuits and architecture solutions for highly energy-efficient hardware products at Auradine. He received the B.Tech. degree in electrical engineering from IIT Patna, Patna, India, in 2015 and the M.S. and PhD degrees in Computer Engineering from the University of California at Los Angeles, CA, USA, in 2017 and 2021 respectively. His research at UCLA was focused on design and architecture of packageless and wafer-scale processor systems based on novel high-performance interconnect fabrics.

Talk Title: Waferscale Computing

Abstract: Fueled by the tremendous growth of new applications in the domain of big-data computing, deep learning, and scientific computing, the demand for increasing system performance is far outpacing the capability of conventional methods for performance scaling. Traditionally, performance and energy scaling has relied on transistor and silicon scaling. However, developing chips, often very large ones in the advanced technology nodes, is becoming very challenging and costly. Moreover, system performance is often limited by inter-die connections. Today, dies with different functionality are packaged and integrated using PCBs. Unlike silicon features, package and PCB features have barely scaled (about 4-5x) over the past few decades. This severely limits performance and efficiency of processor systems. Traditional scale-out system building, and integration methodologies are failing to deliver the performance today’s applications (such as artificial intelligence, big-data processing etc.) demand. As a consequence, future performance, power, and cost improvements cannot come from transistor technology alone. Then, how do we enable “System scaling”?

To target scale-out systems, we propose chiplet-based waferscale processors to dramatically reduce inter-die communication overheads. To that end, we developed the Si-IF technology where bare dies can be tightly integrated on a waferscale interconnect substrate to build scale-out processors up to a size of an entire wafer. However, building such a large consolidated waferscale system has its own challenges. For the first time, we explored the design space of waferscale power-delivery networks, cooling and trade-offs of yield and inter-GPM network topologies, etc. I will discuss some of these challenges and solutions that we developed to architect a large shared memory waferscale prototype system. Next, I will make a case for waferscale GPU and waferscale graph acceleration, where we leverage the massive bisection bandwidth and sub-1ns inter-die latencies to build high-performance computing systems. Our work shows that massive gains in excess of 5-10x can be achieved in terms of both performance gains as well as system energy using waferscale integration.

Dr. Meena Mishra

DRDO,INDIA

Bio: I have been serving in DRDO since 1989. My core area of research is RF Circuit Design and Characterisation along with high frequency and high power device design. I have Developed the small signal, nonlinear and noise models for high frequency devices like MESFET,HEMTand PHEMT. Developed design kits for the in-house developed devices. Designed and fabricated MIC low noise amplifiers with less than 1dB Noise Figure and high power amplifiers with power output of 1.5 kiloWatt.Presently working on design of GaN HEMT based MMIC and development of high power GaN MMIC technology.Main area of interest is in RF Characterisation ,modeling of low noise and high power
HEMTs and MMIC design.Presently working as Technology director on various state of the art projects. Successfully designed and developed GaN based wideband and narrowband Fr
MMIC power amplifiers, low noise amplifiers ,SPDT switch and multifunction circuits in S,C,X and Ku bands.

Talk Title: Indigenous GaN MMIC Technology

Abstract: Future trends for next generation strategic systems require multifunctionality and modularity like combining radar, communications, and electronic warfare in one system. This higher level of functional integration improves system performance through heightened awareness, improved responsiveness, and mission execution. The use of gallium nitride (GaN) MMIC as key component enables higher performance of systems meeting the requirements in small size with high power and hence GaN MMIC are emerging as an alternative or replacement for laterally diffused MOSFET (LDMOS) components. In most of next generation systems GaN MMIC technology is being considered because of high power density, high efficiency, wide bandwidth, and exceptionally long life. GaN on SiC has superior properties like higher breakdown voltage; higher saturated electron drift velocity and higher thermal conductivity. Hence GaN HEMTs also offer greater power density and wider bandwidths compared to Si; GaAs; and GaN on Si transistors. As shorter gate length GaAs and GaN transistors become available, coupled with improved circuit design techniques, new devices are becoming available that can perform comfortably to millimeter wave frequencies, opening new applications that were hard to contemplate a decade ago. This paper will briefly describe the indigenous GaN semiconductor technology that is enabling these developments to achieve optimum performance of devices, circuits and subsystems based on this technology.

Prof. M M Shaijumon

Indian Institute of Science Education & Research Thiruvananthapuram

Bio: Dr. Shaijumon is currently an Associate Professor at the School of Physics, IISER Thiruvananthapuram. He obtained his Ph.D. in Physics from Indian Institute of Technology Madras, India. Dr. Shaijumon’s research interests are in the area of nanomaterials and energy storage and conversion, focusing on the synthesis of novel nanostructures, design and development of efficient energy storage devices such as rechargeable batteries and supercapacitors, mostly looking at the materials science and physics of these systems. He received the DAE Young Scientist Research Award in 2012. He is also a recipient of the MRSI medal for 2019.

Talk Title: Engineered Carbon Materials for Sodium Ion Hybrid Capacitors

Abstract: Carbon materials, including carbon dots, carbon nanotubes, graphene, graphite, hard carbon, etc., have received greater attention due to their diversity, abundance, and favourable properties. The properties of carbon materials are easily tunable by doping with other elements or making composites with other materials.1 The unique chemical and structural features allow the possibility of engineering these materials, thus offering them unlimited advanced applications in energy storage and conversion.2 Here, efficient strategies to synthesise porous and hard carbon materials with significantly improved surface area and porosity features are explored for their applications in hybrid ion capacitors (HICs).3 For instance, engineered carbon samples with ‘open’ and ‘closed’ pores are synthesised to explore the sodium charge storage mechanism in hard carbon anodes. In-depth studies using different physicochemical techniques revealed strong evidence for adsorption/insertion-pore filling mechanism.4 The talk will also highlight our recent efforts on mass balancing of hybrid ion capacitor electrodes that could be employed as a design tool to guide the selection of optimized HIC devices for the intended applications.5

References

1. Choi, C. H., Park, S. H., Woo, S. I. ACS Nano 2012, 6, 7084–7091.

2. Liu W., Jiang H.and Yu H., Energy Environ. Sci., 2019, 12, 1751-1779.

3. Surendran, V., Arya, R. S., Vineesh, T. V., Babu, B., Shaijumon, M. M. J. Energy Storage 2021, 35, 102340.

4. Surendran V., Hema H. R., MS Oliyantakath Hassan, Vijayan Vinesh, Shaijumon, M. M, 2022, Batteries & Supercaps 2022, e202200316

5. Surendran, V., Lal, A., Shaijumon, M. M. ACS Appl. Mater. Interfaces 2021, 13 (44), 52610–52619.

Dr. Sai Gautam Gopalakrishnan

Indian Institute of Science, India

Bio: Sai Gautam Gopalakrishnan is an Assistant Professor at the Department of Materials Engineering, Indian Institute of Science since July 2020. After completing his dual degree (B. Tech.+M. Tech.) in Metallurgical and Materials Engineering, Indian Institute of Technology Madras (IITM) in 2013, he pursued his Ph.D. at the Massachusetts Institute of Technology (MIT) in Materials Science and Engineering under the guidance of Prof. Gerbrand Ceder. After graduating with his Ph.D. in June 2017, he subsequently pursued postdoctoral research under the mentorship of Prof. Emily A. Carter in Mechanical and Aerospace Engineering, Princeton University. Sai’s research group focusses on using density functional theory calculations and machine learning tools to study and discover materials for energy storage and energy harvesting applications. Some of his accolades include being selected as an “Associate” by the Indian Academy of Sciences in 2022, the “Best Ph.D. thesis” at MIT and the “Srinivasan Memorial Prize” for best academic performance at IITM.

Talk Title: Role of exchange-correlation functionals in migration barrier predictions

Abstract: A critical factor that influences the rate performance of batteries is the diffusion of the electroactive ions in the active materials, i.e., solid electrodes and/or electrolytes, which in turn is largely influenced by the ionic migration barriers (Em) within host frameworks. Determining Em precisely using experimental techniques, such as electrochemical impedance, variable temperature nuclear magnetic resonance, etc. is not a trivial task. Computationally, evaluating Em is often done via density functional theory (DFT)-based nudged elastic band (NEB) calculations or ab initio molecular dynamics (AIMD) simulations. Typically, DFT-NEB can yield a direct estimate of Em in a given material, while AIMD relies on statistical sampling of migration events (which becomes more difficult with increasing Em values). Hence, DFT-NEB is the preferred computational choice to determine Em. However, the accuracy of DFT-NEB calculations in estimating Em is dependent on the choice of exchange-correlation (XC) functionals, and the errors associated with using different XC frameworks has not been accurately quantified yet. Hence, in the first part of my talk, I will focus on assessing the accuracy of different XC frameworks (versus experiments) in estimating Em in a wide variety of electrode and solid electrolyte materials. Importantly, we find that the strongly constrained and appropriately normed functional yields better accuracy of Em on average, albeit with significant convergence difficulties and notable exceptions of high inaccuracy, while the generalised gradient approximation provides robust qualitative trends in its Em predictions. I will also discuss about the role of uniform background charge and the climbing image approximation in Em predictions.

Dr. Madhur Bobde

Alpha & Omega Semiconductor

Bio: Dr. Madhur Bobde received his Bachelors and Master’s degree (Integrated) from the Indian Institute of Technology, Bombay and his PhD. from North Carolina State University, USA

He is currently employed with Alpha & Omega Semiconductor as Chief Technology Officer. He has 25+ years of experience in the field of Power Semiconductors including Advanced Silicon power devices, Wide Band-Gap devices, process technology, packages & power modules and power management ICs.

He holds more than 150 US granted patents with several pending & publications in power semiconductor conferences and journals. He has also given invited talks and taught short courses in conferences including ISPSD and SEMICON

Talk Title: Advances in Silicon Power Semiconductor Devices

Abstract: Silicon power MOSFETs have made tremendous advancements in the past decade. The key concept that has led to this is that of charge balance. In conventional power MOSFET device the maximum doping level and the thickness of the drift region is limited by blocking voltage constraints and a triangular electric field results in its sub-optimal utilization.
The concept of charge balance involves adding an opposite polarity of charge in the drift region compared to default doping to modify the shape of electric field from triangular to trapezoidal for better utilization of drift region for voltage blocking, and allow significantly higher doping concentration for lower conduction losses. For low voltages (below 400V) the popular device structure to achieve this is the Split Gate Transistor (SGT). This device utilizes trench MOS charge balance with a shield electrode under the gate. In addition to significantly improving the On Resistance per unit area (~3x for 100V blocking), the shield electrode also significantly reduced the gate to drain miller capacitance (Crss) and Crss/Ciss ratio to allow for high frequency switching.
For high voltages above 400V, the depth of trench and thickness of liner oxide make SGT device impractical to fabricate. As a result, the Super-Junction transistor has emerged as the most successful MOSFET for high voltages. This device utilizes alternating P and N columns in the drift region thereby creating a charge balance. Methods such as multi epi, deep trench and fill have been demonstrated and are commercially successful for making superjunction transistors. These can achieve an On-Resistance reduction of up to 8x compared to planar DMOS transistor. However, presence of alternating P and N columns also results in peculiar Capacitance curves, particularly the Crss which drops sharply at low drain biases and then increases at higher drain biases. It also exhibits snappy diode reverse recovery.
Charge balanced structure is also finding use in bipolar devices such as IGBT and Fast recovery diodes. In these devices, charge balance is used for various performance enhancements such as improving turn-off losses, injection enhancement, and controlling injection efficiency for faster switching.
The goal of this seminar is to understand the device physics and electrical characteristics of charge balanced devices in unipolar and bipolar power devices. This seminar is intended for intermediate level audience.