Alan Doolittle

Alan Doolittle's profile picture
alan.doolittle@ece.gatech.edu
ECE Profile

Professor Doolittle is a native of Jonesboro, Georgia. He graduated from Georgia Tech with a bachelor's degree in electrical engineering with highest honors in 1989. He later received his Ph.D. in electrical engineering in 1996 from Georgia Tech. 

His thesis work revolved around identifying the device limiting defects in photovoltaic silicon materials using several custom designed and patented tools. He later worked as a Research Engineer II in the area of compound semiconductor growth with emphasis on wide bandgap semiconductors. He joined the Georgia Tech faculty in 2001. 

During his time at Georgia Tech he has helped develop academic programs in the areas of microelectronic fabrication, materials growth, characterization, and measurement system design. Professor Doolittle consults with industry in the areas of law, materials testing, MBE growth, and test equipment development. 
His hobbies include bible studies, classic cars, playing the guitar, and reading. Most of his free time is spent with his two teenage children.

Professor, School of Electrical and Computer Engineering
Phone
(404) 894-9884
Additional Research

Electrical Grid; Energy Storage

Research Focus Areas
Energy Generation, Storage, and Distribution
IRI And Role
Energy > Research Community
Energy
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > School of Electrical and Computer Engineering
Related Websites
Website

Gabriel Rincon-Mora

Gabriel Rincon-Mora's profile picture
rincon-mora@gatech.edu
Departmental Bio

Gabriel Alfonso Rincón-Mora is Motorola Solutions Foundation Professor, Fellow of the National Academy of Inventors (NAI), Fellow of the American Association for the Advancement of Science (AAAS), Fellow of the Institute of Electrical and Electronics Engineering (IEEE), and Fellow of the Institution of Engineering and Technology (IET) for contributions to power-conditioning and energy-harvesting microchips. He was with Texas Instruments in 1994–2004 and has been with the Georgia Institute of Technology since 1999. He was Visiting Professor at National Cheng Kung University in Taiwan in 2011-2019, Director of the Georgia Tech Analog Consortium in 2001-2004, and Director of the TI Analog Fellowship Program in 2001-2015. His body of work includes 12 books, 8 handbooks, 4 book chapters, 44 patents, over 200 articles, 25 educational videos, over 26 commercial power-chip products released to production, 25 educational videos, educational SPICE code for over 200 analog and power circuits, and over 170 keynote addresses, distinguished lectures, and research seminars.

He was inducted into Georgia Tech's Council of Outstanding Young Engineering Alumni, named one of "The 100 Most Influential Hispanics" by Hispanic Business, included in "List of Notable Venezuelan Americans" in Science, and selected IEEE Distinguished Lecturer. He received the National Hispanic in Technology Award, Charles E. Perry Visionary Award, IEEE Charles A. Desoer Technical Achievement Award, Distinguished Faculty Achievement Award, Three-Year Patent Award, IEEE Joseph M. Biedenbach Outstanding Engineering Educator Award, IEEE Outstanding Educator Award, Orgullo Hispano Award, Hispanic Heritage Award, State of California Commendation Certificate, and IEEE Service Award.

Education

  • Ph.D., Electrical Engineering, Georgia Institute of Technology, 1996  
  • M.S., Electrical Engineering, Georgia Institute of Technology, 1994
  • B.S., Electrical Engineering, Florida International University, 1992 

Research Interests

Professor Rincón-Mora’s research focuses on power-conditioning and energy-harvesting integrated circuits that supply, sustain, and integrate microsystems for portable and embedded applications. He explores, develops, and designs silicon-based microchips that draw power from tiny batteries, fuel cells, magnetically coupled coils, and generators that harness ambient energy from motion, light, temperature, and radiation to energize and power wireless microsensors for biomedical, consumer, and industrial use. His work includes low-power analog and mixed-signal circuits, voltage references and regulators, switching power supplies, battery chargers, and energy-harvesting microsystems.

Teaching Interests

Professor Rincón-Mora’s teaching encompasses core electrical engineering topics, including analog circuits, power electronics, and integrated-circuit design. He is committed to providing students with a strong foundation in circuit analysis and design principles at both undergraduate and graduate levels. His teaching approach emphasizes practical understanding and application, fostering student engagement and preparation for careers in electrical engineering and related fields.

Publications

  • Pratyush Manocha, Gabriel A. Rincón‑Mora, Transistor Frequency‑Response Analysis…, Electronics, 2025.
  • Tiancheng Zhao, Gabriel A. Rincón‑Mora, Unraveling Negative Feedback Translations…, IEEE TCAS‑II, 2025.
  • Linyuan Cui, Gabriel A. Rincón‑Mora, Designing Low‑Loss SL‑MI/O CMOS Power Supplies, IEEE TCAS‑I, 2025.
  • Guillaume Guérin, Gabriel A. Rincón‑Mora, Compact Switched‑Inductor Power Supplies…, Electronics, 2024.
  • Utsav Vasudevan, Gabriel A. Rincón‑Mora, Digital LDO Analysis…, Electronics, 2024.
Professor, School of Electrical and Computer Engineering
Phone
(404) 385-2768
Additional Research

Electronics; Electrical Grid

Research Focus Areas
Delivery & Storage
Use & Conservation
IRI And Role
Energy > Research Community
Energy
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > School of Electrical and Computer Engineering

Bernard Kippelen

Bernard Kippelen's profile picture
bernard.kippelen@ece.gatech.edu
ECE Profile Page

Bernard Kippelen was born and raised in Alsace, France. He studied at the University Louis Pasteur in Strasbourg where he received a Maitrise in Solid-State Physics in 1985, and a Ph.D. in Nonlinear Optics in 1990. From 1990 to 1997 he was Charge de Recherches at the CNRS, France. In 1994, he joined the faculty of the Optical Sciences Center at the University of Arizona. There, he developed a research and teaching program on polymer optics and plastic electronics. In August 2003, Dr. Kippelen joined the School of Electrical and Computer Engineering at the Georgia Institute of Technology where his research ranges from the investigation of fundamental physical processes (nonlinear optical activity, charge transport, light harvesting and emission), to the design, fabrication and testing of light-weight flexible optoelectronic devices and circuits based on nanostructured organic materials. He currently serves as director of the Center for Organic Photonics and Electronics, and as co-president of the Lafayette Institute, a major optoelectronics commercialization initiative that is based at Georgia Tech-Lorraine in Metz, France. He currently holds 25 patents and has co-authored over 270 refereed publications and 14 book chapters. His publications have received over 20,000 citations and his h-index is 73 (Google Scholar). He served as chair and co-chair of numerous international conferences on organic optoelectronic materials and devices and as deputy editor of Energy Express. He was the founding editor of Energy Express.

Professor, School of Electrical and Computer Engineering
Director, Center for Organic Photonics and Electronics
Vice Provost for International Initiatives
Steven A. Denning Chair for Global Engagement
Phone
404.385.5163
Office
MoSE 4239
Additional Research

Photovoltaics; Organic Photonics and Electronics; Integrated Photonics; Flexible Electronics; Optical Materials; Nanocellulose Applications; Films & Coatings; Sustainable Manufacturing; Biomaterials

Research Focus Areas
Biobased Materials
Biochemicals
Biorefining
Biotechnology
Flexible Electronics
Miniaturization & Integration
Optics & Photonics
Pulp Paper Packaging & Tissue
Renewable Energy
Sustainable Manufacturing
IRI And Role
Energy > Research Community
Energy
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > School of Electrical and Computer Engineering
Google Scholar
https://scholar.google.com/citations?hl=en&user=aAfyDCsAAAAJ&view_op=list_works&sortby=pubdate
Related Websites
Kippelen Group

Santiago Grijalva

Santiago Grijalva's profile picture
sgrijalva@ece.gatech.edu

Dr. Grijalva joined the Georgia Institute of Technology in the summer of 2009 as Associate Professor of Electrical and Computer Engineering. He is the Director of the Advanced Computational Electricity Systems (ACES) Laboratory, where he conducts research on real-time power system control, informatics, and economics, and renewable energy integration in power. From 2012-2015, Dr. Grijalva served as the Strategic Energy Institute (SEI) Associate Director for Electricity Systems, responsible for coordinating large efforts on electricity research and policy at Georgia Tech. Dr. Grijalva received the Electrical Engineer degree from EPN-Ecuador in 1994, the M.S. Certificate in Information Systems from ESPE-Ecuador in 1997, and the M.S. and Ph.D. degrees in Electrical Engineering from the University of Illinois at Urbana-Champaign in 1999 and 2002, respectively. He was a post-doctoral fellow in Power and Energy Systems at the University of Illinois from 2003 to 2004. From 1995 to 1997, he was with the Ecuadorian National Center for Energy Control (CENACE) as engineer and manager of the Real-Time EMS Software Department. From 2002 to 2009, he was with PowerWorld Corporation as a senior software architect and developer of innovative real-time and optimization applications used today by utilities, control centers, and universities in more than 60 countries. Dr. Grijalva is a leading researcher on ultra-reliable architectures for critical energy infrastructures. He has pioneered work on de-centralized and autonomous power system control, renewable energy integration in power, and unified network models and applications. He is currently the principal investigator of various future electricity grid research projects for the US Department of Energy, ARPA-E, EPRI, PSERC as well as other Government organizations, research consortia, and industrial sponsors. Research interests: Power system and smart grid computation De-centralized and autonomous power control architectures Ultra-reliable electricity internetworks Seamless integration of large-scale renewable energy Electricity markets design and power system economics

Georgia Power Distinguished Professor, School of Electrical and Computer Engineering
Phone
(404) 894-2974
Office
VL E284
Additional Research
  • AI for Power Generation
  • Electrical Grid
  • Energy Storage
  • System Design & Optimization
Research Focus Areas
Cyber-Physical Systems
Energy Generation, Storage, and Distribution
IRI And Role
Data Engineering and Science
Data Engineering and Science > Faculty
Energy > Research Community
Energy
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > School of Electrical and Computer Engineering

Vidya Muthukumar

Vidya Muthukumar's profile picture
vmuthukumar8@gatech.edu
ECE Profile Page

Vidya Muthukumar is an Assistant Professor in the School of Electrical and Computer Engineering and H. Milton Stewart School of Industrial and Systems Engineering at Georgia Institute of Technology. Dr. Muthukumar’s broad interests are in game theory, online and statistical learning. She is particularly interested in designing learning algorithms that provably adapt in strategic environments, fundamental properties of overparameterized models, and the foundations of multi-agent decision-making.

Dr. Muthukumar received the B.Tech (with honors) degree from the Indian Institute of Technology, Madras and the Ph.D. degree in Electrical Engineering from University of California, Berkeley. She interned at IBM Research in the summer of 2018 as a Science for Social Good fellow. Before joining Georgia Tech, she spent a semester at the Simons Institute for the Theory of Computing as a research fellow for the program “Theory of Reinforcement Learning.” She is the recipient of an Amazon Research Award, NSF CAREER Award, Adobe Data Science Research Award, Simons-Berkeley Google Research Fellowship, and the UC Berkeley EECS Outstanding Course Development and Teaching Award.

Dr. Muthukumar has served/is serving as an Area Chair for COLT (2021-2024), NeurIPS (2023 and 2024), ALT 2024 and UAI 2024. She also co-organizes several mentorship workshops as part of the Learning Theory Alliance team, and organized the ITALT symposium in 2024.

Assistant Professor
Additional Research
  • Statistical signal processing
  • Game theory
  • Sequential decision-making
Research Focus Areas
Machine Learning
IRI And Role
Data Engineering and Science > Faculty
Data Engineering and Science
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > School of Electrical and Computer Engineering
Georgia Institute of Technology > College of Engineering > School of Industrial Systems Engineering
Google Scholar
https://scholar.google.com/citations?hl=en&user=VVz2wdwAAAAJ&view_op=list_works&sortby=pubdate
Related Websites
Personal Website

Divya Mahajan

Divya Mahajan 's profile picture
divya.mahajan@gatech.edu
Personal Website

Divya is an Assistant Professor in School of ECE and Computer Science. Divya received her Ph.D. from Georgia Institute of Technology and Master’s from UT Austin. She obtained her Bachelor’s from IIT Ropar where she was conferred the Presidents of India Gold Medal, the highest academic honor in IITs.

Prior to joining Georgia Tech, Divya was a Senior Researcher at Microsoft Azure since September 2019. Her research has been published in top-tier venues such as ISCA, HPCA, MICRO, ASPLOS, NeurIPS, and VLDB. Her dissertation has been recognized with the NCWIT Collegiate Award 2017 and distinguished paper award at High Performance Computer Architecture (HPCA), 2016.

Currently, she leads the Systems Infrastructure and Architecture Research Lab at Georgia Tech. Her research team is devising next-generation sustainable compute platforms targeting end-to-end data pipeline for large scale AI and machine learning. The work draws insights from a broad set of disciplines such as, computer architecture, systems, and databases.

Assistant Professor
Additional Research
  • Artificial Intelligence
  • Machine Learning
  • Sustainable Systems for AI
  • System Design & Optimization
Research Focus Areas
AI
Machine Learning
System Design & Optimization
IRI And Role
Data Engineering and Science > Faculty
Data Engineering and Science
University, College, and School/Department
Georgia Institute of Technology > College of Computing > School of Computer Science
Georgia Institute of Technology > College of Engineering > School of Electrical and Computer Engineering
Google Scholar
https://scholar.google.com/citations?hl=en&user=HmBa_6gAAAAJ&view_op=list_works&sortby=pubdate
LinkedIn
LinkedIn

Pan Li

Pan Li's profile picture
panli@gatech.edu
Personal Website

Pan Li joined Georgia Tech in 2023 Spring. Before that, Pan Li worked at the Purdue Computer Science Department as an assistant professor from the 2020 fall to the 2023 Spring. Before joining Purdue, Pan worked as a postdoc at Stanford Computer Science Department from 2019 to 2020. Pan did his Ph.D. in Electrical and Computer Engineering at the University of Illinois Urbana-Champaign. Pan Li has got the NSF CAREER award, the Best Paper award from the Learning on Graph Conference, Sony Faculty Innovation Award, JPMorgan Faculty Award.

Assistant Professor
Office
CODA Number S1219
Additional Research
  • Artificial Intelligence
  • Large-Scale Graphs
  • Machine Learning
  • Trustworthy AI for Physics
Research Focus Areas
AI
Machine Learning
IRI And Role
Data Engineering and Science > Faculty
Data Engineering and Science
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > School of Electrical and Computer Engineering
Google Scholar
https://scholar.google.com/citations?hl=en&user=IroP0EwAAAAJ&view_op=list_works&sortby=pubdate
Related Websites
ECE Profile Page

Tushar Krishna

Tushar Krishna's profile picture
tushar@ece.gatech.edu
ECE Profile Page

Tushar Krishna is an Associate Professor in the School of Electrical and Computer Engineering at Georgia Tech. He also holds the ON Semiconductor Junior Professorship. He has a Ph.D. in Electrical Engineering and Computer Science from MIT (2014), a M.S.E in Electrical Engineering from Princeton University (2009), and a B.Tech in Electrical Engineering from the Indian Institute of Technology (IIT) Delhi (2007). Before joining Georgia Tech in 2015, Krishna spent a year as a researcher at the VSSAD group at Intel, Massachusetts.

Krishna’s research spans computer architecture, interconnection networks, networks-on-chip (NoC) and deep learning accelerators – with a focus on optimizing data movement in modern computing systems. Three of his papers have been selected for IEEE Micro’s Top Picks from Computer Architecture, one more received an honorable mention, and three have won best paper awards. He received the National Science Foundation (NSF) CRII award in 2018, a Google Faculty Award in 2019, and a Facebook Faculty Award in 2019 and 2020.

ON Semiconductor Junior Professor, School of Electrical and Computer Engineering
Phone
404.894.9483
Office
Klaus 2318
Additional Research
  • Networks-on-Chip (NoC)
  • Interconnection Networks
  • Reconfigurable Computing and FPGAs
  • Heterogeneous Architectures
  • Deep Learning Accelerators
Research Focus Areas
Computer Engineering
Gigatechnology
High Performance Computing
Machine Learning
Micro and Nano Device Engineering
Miniaturization & Integration
System Design & Optimization
IRI And Role
Data Engineering and Science
Data Engineering and Science > Faculty
Matter and Systems > Affiliated Faculty
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > School of Electrical and Computer Engineering
Google Scholar
https://scholar.google.com/citations?hl=en&user=P__ztgcAAAAJ&view_op=list_works&sortby=pubdate
LinkedIn
LinkedIn
Related Websites
Personal Research Site

Maryam Saeedifard

Maryam Saeedifard's profile picture
maryam@ece.gatech.edu
Website

Maryam Saeedifard received the B.S. and M.S. degrees from Isfahan University of Technology, Isfahan, Iran, in 1998 and 2002, respectively, and the Ph.D. degree from the University of Toronto, Canada, in 2008, all in electrical engineering.

From 2007 to 2008, she was with ABB Corporate Research Center, Dattwil-Baden, Switzerland, working in the power electronic systems group. She joined Purdue University in January 2010, where she served as an assistant professor in the School of Electrical and Computer Engineering. Since January 2014, she has been on the ECE faculty at the Georgia Institute of Technology.

Her main research focus has been in the area of Power Electronics and Applications of Power Electronics in Power Systems and Transportation Systems. She has served on the technical program committees of the IEEE Power Electronics Society, IEEE Applied Power Electronics Conference and Exposition (APEC), and IEEE Industrial Electronics Conference (IECON). She is an editor for IEEE Trans. on Sustainable Energy, IEEE Trans. on Power Delivery, and IEEE Trans. on Power Electronics.

Professor, School of Electrical and Computer Engineering
Phone
(404) 894-4834
Office
VL E168
Additional Research

Electric Vehicles; Electrical Grid; Electronics

Research Focus Areas
Delivery & Storage
Use & Conservation
IRI And Role
Energy > Faculty Council
Energy > Research Community
Energy
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > School of Electrical and Computer Engineering
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